In independent renewable energy systems (RESs), one of the primary concerns needing to be addressed is the maintaining of power balances between supplies and requirements that are cost-optimized in residences linked to these systems. The amount of power generated through RESs has substantially risen, with solar and wind being the two primary sources in RESs. In modern power systems, small-scale distributed networks are growing at a rapid pace and distributed generation (DG) plays an important role. Micro grids are very (...) recent additions to electrical infrastructures. Power management is primarily required for smooth operation, maintaining consistency, and robustness, as well as controlling the actual and reactive power of independent DG. However, the batteries are expensive; moreover, during the charging and discharging process, huge amounts of power are lost, characterizing important problems which have to be averted. This paper introduces the weighted particle swarm optimization (WPSO) method for controlling energy systems and grid hybrid energy systems that comprise photovoltaic (PV), wind turbine, batteries, and diesel generators. By maximizing the power derived from RES and reducing battery power usage, energy is preserved, and the cost of energy consumption (energy of diesel) is reduced. Meteorological data from Spain were used in this study’s simulations. The method depends on the data forecast of renewable energy one day in advance and the everyday load power consumption profile. The results of the simulation show that WPSO outperforms existing algorithms in terms of energies, costs, and battery lives. (shrink)

Small MGS (microgrid systems) are capable of decreasing energy losses. Long-distance power transmission lines are constructed by integrating distributed power sources with energy storage subsystems, which is the current trend in the development of RES (renewable energy sources). Although energies produced by RES do not cause pollution, they are stochastic and hence challenging to manage. This disadvantage makes high penetration of RES risky for the stability, dependability, and power quality of main electrical grids. The energies obtained from (...) RES must thus be integrated in the best possible way. To provide maximum energy sustainability and best energy usage, hybrid energy systems must manage energy efficiently. In order to improve power management and make better use of RES, this study offers a hybrid energy power management controller based on hybrid MABC (modified artificial bee colony) and ANN (artificial neural network) for MGS, PVS (photovoltaic system), and WT (wind turbine). Controlling power flows between grids and energy sources is the suggested approach for power control. D/R (demands/responses), customer reactions, offering priorities, D/R properties like COE (cost of energies), and sizes (lengths) are considered in this work. Along with current techniques, a suggested model is implemented in the MATLAB/Simulink platform. (shrink)

Small MGS (microgrid systems) are capable of decreasing energy losses. Long-distance power transmission lines are constructed by integrating distributed power sources with energy storage subsystems, which is the current trend in the development of RES (renewable energy sources). Although energies produced by RES do not cause pollution, they are stochastic and hence challenging to manage. This disadvantage makes high penetration of RES risky for the stability, dependability, and power quality of main electrical grids. The energies obtained from (...) RES must thus be integrated in the best possible way. To provide maximum energy sustainability and best energy usage, hybrid energy systems must manage energy efficiently. In order to improve power management and make better use of RES, this study offers a hybrid energy power management controller based on hybrid MABC (modified artificial bee colony) and ANN (artificial neural network) for MGS, PVS (photovoltaic system), and WT (wind turbine). Controlling power flows between grids and energy sources is the suggested approach for power control. D/R (demands/responses), customer reactions, offering priorities, D/R properties like COE (cost of energies), and sizes (lengths) are considered in this work. Along with current techniques, a suggested model is implemented in the MATLAB/Simulink platform. (shrink)

Small MGS (microgrid systems) are capable of decreasing energy losses. Long-distance power transmission lines are constructed by integrating distributed power sources with energy storage subsystems, which is the current trend in the development of RES (renewable energy sources). Although energies produced by RES do not cause pollution, they are stochastic and hence challenging to manage. This disadvantage makes high penetration of RES risky for the stability, dependability, and power quality of main electrical grids. The energies obtained from (...) RES must thus be integrated in the best possible way. To provide maximum energy sustainability and best energy usage, hybrid energy systems must manage energy efficiently. In order to improve power management and make better use of RES, this study offers a hybrid energy power management controller based on hybrid MABC (modified artificial bee colony) and ANN (artificial neural network) for MGS, PVS (photovoltaic system), and WT (wind turbine). Controlling power flows between grids and energy sources is the suggested approach for power control. D/R (demands/responses), customer reactions, offering priorities, D/R properties like COE (cost of energies), and sizes (lengths) are considered in this work. Along with current techniques, a suggested model is implemented in the MATLAB/Simulink platform. (shrink)

The growing demand for energy in urban environments, coupled with the urgent need to reduce carbon emissions, necessitates innovative approaches to power generation, distribution, and consumption. Artificial Intelligence (AI)-driven smart grids offer a transformative solution by optimizing energy efficiency, integrating renewable resources, and ensuring grid stability. This paper explores how machine learning and IoT-enabled predictive analytics can enhance smart grid performance in urban areas. By addressing challenges such as demand forecasting, load balancing, and renewable energy (...) intermittency, this study demonstrates the potential of AI to revolutionize sustainable energy management. Experimental results highlight improvements in grid reliability, cost reduction, and carbon footprint minimization, paving the way for resilient and eco-friendly urban energy systems. (shrink)

In this article, I argue that the artificial components of hybrid bionic systems do not play a direct explanatory role, i.e., in simulative terms, in the overall context of the systems in which they are embedded in. More precisely, I claim that the internal procedures determining the output of such artificial devices, replacing biological tissues and connected to other biological tissues, cannot be used to directly explain the corresponding mechanisms of the biological component(s) they substitute (and therefore cannot be (...) used to explain the local mechanisms determining an overall biological or cognitive function replicated by such bionic models). I ground this analysis on the use of the Minimal Cognitive Grid (MCG), a novel framework proposed in Lieto (Cognitive design for artificial minds, 2021) to rank the epistemological and explanatory status of biologically and cognitively inspired artificial systems. Despite the lack of such a direct mechanistic explanation from the artificial component, however, I also argue that the hybrid bionic systems can have an indirect explanatory role similar to the one played by some AI systems built by using an overall structural design approach (but including the partial adoption of functional components). In particular, the artificial replacement of part(s) of a biological system can provide i) a local functional account of that part(s) in the context of the overall functioning of the hybrid biological–artificial system and ii) global insights about the structural mechanisms of the biological elements connected to such artificial devices. (shrink)

Abstract— In parallel to developing technology, demand for more energy makes us seek new energy sources. Wind and solar energy are the most popular ones owing to their abundance, ease of availability and convertibility to electric energy. This work covers realization of a hybrid renewable energy system. The scheme involves conversion of solar power and wind power into usable electrical energy using solar panel and by designing a wind turbine with appropriate calculations (...) and specifications. Battery in this system is charged by both solar and wind power, the DC output is then converted to AC using an inverter and fed to the load. The idea of water conservation through rain water collection and storage with the use of solar panel is also implemented. The main aim of the design is to create a system suitable to provide continuous power by utilization of non-conventional energy resources and making use of the additional advantage of the solar panel in the conservation of water. Power resources and load in the system are monitored and controlled in real time. (shrink)

Hybrid Electric Vehicles (HEVs) have gained significant popularity due to their reduced environmental impact and fuel efficiency. However, the complex integration of electrical and mechanical systems in HEVs presents significant cooling challenges. A robust cooling system is essential to maintain optimal performance and extend the lifespan of powertrains and battery systems. This paper explores the development of an advanced cooling system designed specifically for HEV powertrains, leveraging modern technologies such as heat exchangers, liquid cooling, and smart thermal (...) management systems. The proposed system uses adaptive cooling mechanisms that adjust based on real-time vehicle operating conditions to maximize efficiency and reduce energy consumption. Additionally, machine learning algorithms are integrated into the cooling system for predictive maintenance, identifying potential issues before they arise. By optimizing thermal management, the system ensures higher efficiency, improved vehicle performance, and a longer life for HEV components. This paper presents an analysis of the current cooling technologies in HEVs, identifies gaps in their functionality, and proposes a novel cooling framework that addresses these limitations, making HEVs more viable for longterm sustainability and performance. (shrink)

Hybrid Electric Vehicles (HEVs) are known for their ability to reduce carbon emissions and fuel consumption. However, managing the thermal aspects of HEVs, especially concerning their powertrains and battery systems, remains a significant challenge. Traditional cooling mechanisms often result in inefficiencies due to their static nature. This paper proposes an AI-based thermal management system designed to address these limitations by offering dynamic, adaptive thermal regulation for HEVs. The system integrates real-time data monitoring with AI algorithms to optimize (...) the cooling process based on vehicle operating conditions, thereby reducing energy wastage and enhancing overall vehicle performance. By employing machine learning models, the system can predict thermal anomalies and adjust cooling efforts accordingly, thereby preventing overheating, improving battery life, and minimizing wear on the electric motor and power electronics. The proposed AI-based thermal management system combines predictive analytics, data-driven decision-making, and advanced cooling methodologies to ensure optimal thermal regulation under varying driving conditions. This paper provides a comprehensive overview of existing thermal management technologies in HEVs, identifies current challenges, and presents the AI-enhanced system as a cutting-edge solution for improving HEV efficiency and reliability. (shrink)

Structuralism can be defined as an important concept of using “units” as elements of form and space-giving, where the whole form is made not only up of a “texture”, a certain flexible grid, or an algorithm of shape-giving, but it depends also on the relationships created and how people use it. The hypothesis of this study is that “Modular Construction” can also have an aesthetically pleasing outlook and that modular housing can definitely have increasing importance in the future. Modular (...) housing due to its cheap, and manufactural way of construction can be replicable in various locations. Structuralism and Modular Construction have been at the core of the Modernist movement. Although postmodernism marked the decline of modular construction adopting methods known for a more close sense of place, vernacular, and locality, which differs from the ubiquitous model of modernism, it is the universality of space and habitation seen since the times of Hippodamus Grid, Japanese Tattami systems, and rational universal space in housing known in Europe that make grid and modular design an excellent system in obtaining, rationality, functionality, flexibility, and energy efficiency, including quick construction and possibility for replication. In this regard, modular construction has a future, especially in times of crisis and economic instability. (shrink)

As hybrid electric vehicles (HEVs) gain prominence in the automotive industry, managing the heat generated by their electric motors and batteries has become a critical challenge. The performance, safety, and longevity of HEV components, such as batteries and motors, are significantly affected by thermal conditions. This paper proposes a modular liquid cooling system designed to efficiently manage heat dissipation in hybrid electric vehicle motors and batteries. The system leverages advanced fluid dynamics and thermoelectric materials to achieve (...) optimal thermal control while maintaining energy efficiency. The modular design allows for flexibility, enabling the cooling system to be adapted for different configurations of electric motors and battery modules. This adaptability ensures that the cooling system can cater to various HEV architectures without extensive redesign. The liquid cooling system is composed of multiple channels that distribute coolant uniformly across the critical components, preventing hotspots and ensuring stable operating temperatures. The system is equipped with sensors and control units to monitor and regulate temperature levels in real time, enhancing system reliability. (shrink)

The Holistic Governance Model (HGM): A Blueprint for the Future -/- Introduction -/- Governments today face increasing challenges, from economic instability and climate change to corruption and social inequality. No single government system has fully solved these issues, but by integrating the best aspects of existing models, we can create an optimal governance system. -/- The Holistic Governance Model (HGM) is a hybrid system that combines elements from Social Democracy, Technocracy, Semi-Direct Democracy, China’s Whole-Process People’s Democracy, (...) and the Modified Westminster System. It leverages AI-driven policy-making, technocratic expertise, direct citizen participation, and long-term national planning to create a balanced, efficient, and just government system. -/- 1. Core Foundations of the Holistic Governance Model -/- The HGM is built on six fundamental pillars, ensuring that governance is efficient, democratic, and sustainable. -/- 1.1. Economic System: A Hybrid of Capitalism and State Planning -/- Inspired by: Singapore (Technocracy), China (State-Controlled Development), Nordic Model (Social Welfare), and Switzerland (Financial Stability) ✅ Key Industries Under State Control: The government regulates healthcare, energy, and transportation while allowing free-market innovation. ✅ Smart Capitalism: Entrepreneurs and businesses thrive, but AI-driven economic planning ensures fair wealth distribution. ✅ Universal Basic Assets (UBA): Instead of universal basic income (UBI), citizens receive free housing, education, and healthcare, ensuring financial security. ✅ AI-Assisted Economy: AI predicts recessions, optimizes budgets, and prevents financial crises. -/- 1.2. Political System: A Dynamic Semi-Direct Democracy -/- Inspired by: Switzerland (Direct Democracy), Westminster System (Parliament), and Singapore (Meritocratic Leadership) ✅ Two-Tier Voting System: -/- General Elections: Citizens vote for representatives every 4-5 years. -/- National Referendums: Citizens directly vote on major policies twice a year. ✅ Technocratic Advisory Board (TAB): A non-political panel of scientists, economists, and AI experts advises the government. ✅ Decentralized Local Governance: Cities and regions have autonomy while aligning with national laws. -/- 1.3. Education & Human Development: AI-Powered Lifelong Learning -/- Inspired by: Nordic Model (Free Education), Singapore (STEM Focus), and China (AI Integration) ✅ Free Public Education for Life: Every citizen has access to continuous learning, including college and skill retraining. ✅ AI-Based Personalized Learning: Students use AI tutors that adapt to their learning pace. ✅ Ethics & Critical Thinking Curriculum: Courses in philosophy, logic, and decision-making prevent misinformation and ignorance. -/- 1.4. Healthcare & Social Welfare: AI-Driven Preventive Medicine -/- Inspired by: Nordic Model (Universal Healthcare), Singapore (Tech-Driven Healthcare), and China (Mass Coverage) ✅ Government-Funded Universal Healthcare: Citizens receive free basic healthcare, with private options available. ✅ AI & Robotics in Medicine: AI diagnoses diseases early, reducing medical costs. ✅ Preventive Healthcare Policy: Citizens receive incentives for maintaining good health (fitness programs, nutrition plans). -/- 1.5. Environmental & Energy Policies: The Green Industrial Revolution -/- Inspired by: China (Renewable Energy Expansion), Nordic Model (Sustainability Laws), and Singapore (Urban Planning) ✅ Mandatory Green Technology Adoption: Businesses must comply with strict eco-friendly policies. ✅ Carbon Credit Economy: Citizens and companies earn rewards for reducing carbon footprints. ✅ 100% Renewable Energy by 2050: The government funds solar, wind, and AI-optimized energy grids. -/- 1.6. Law & Order: AI-Governed Justice & Anti-Corruption Measures -/- Inspired by: Switzerland (Independent Judiciary), Singapore (Strict Law Enforcement), and China (AI in Governance) ✅ AI-Assisted Judiciary: AI helps judges analyze case laws for fair, unbiased rulings. ✅ Zero-Corruption Policy: Public officials caught in corruption face lifetime bans from government service. ✅ Balanced Civil Rights & Security: -/- Freedom of Speech: Citizens can express opinions, but disinformation is regulated. -/- AI Surveillance for Security: AI prevents crime while protecting privacy. -/- 2. Government Structure of HGM -/- 2.1. Executive Branch: The President, Prime Minister, and Technocrats -/- President (Elected by Public Vote) → Oversees national policies and international relations. -/- Prime Minister (Elected by Parliament) → Manages daily governance. -/- Technocratic Economic Council → Expert-led economic planning. -/- AI-Assisted Policy Bureau → Uses AI for healthcare, infrastructure, and environmental policies. -/- 2.2. Legislative Branch: Semi-Direct Parliament -/- Lower House (Elected Officials) → Creates laws based on citizen participation. -/- Upper House (Experts & Regional Representatives) → Reviews laws for scientific and ethical validity. -/- Referendum System → Citizens directly vote on key national issues. -/- 2.3. Judicial Branch: AI-Assisted Supreme Court -/- Independent Court System → Ensures justice and constitutional balance. -/- AI Legal Analysis → AI helps judges analyze previous cases and evidence. -/- 3. Implementation Strategy: How to Apply HGM Worldwide -/- To implement HGM, a phased approach is needed: -/- Phase 1 (0-5 Years): Research & AI Integration -/- ✅ Establish an HGM Global Research Center to develop AI governance models. ✅ Pilot AI-assisted economic planning in select countries. -/- Phase 2 (5-10 Years): Education & Public Awareness -/- ✅ Introduce HGM-based education systems (critical thinking, AI governance). ✅ Encourage political reforms to adopt hybrid governance models. -/- Phase 3 (10-20 Years): Nationwide Policy Implementation -/- ✅ Countries gradually adopt the HGM framework, with AI monitoring national progress. ✅ Global partnerships for climate change action and digital economy growth. -/- Phase 4 (Beyond 20 Years): Global Standardization -/- ✅ Establish an HGM Alliance for international cooperation. ✅ Implement AI-driven global policies on poverty, sustainability, and digital rights. -/- 4. Why the HGM is the Future of Governance -/- The Holistic Governance Model (HGM) offers the most advanced, efficient, and democratic government system by combining AI governance, citizen participation, economic stability, and social equality. -/- Conclusion: A Government System for the 21st Century -/- The Holistic Governance Model (HGM) combines the best government systems into a single, optimized model. By implementing AI, technocracy, direct democracy, and long-term planning, HGM ensures: ✅ Efficient economic management ✅ Social equality without excessive taxation ✅ Democratic participation with AI-driven transparency ✅ Sustainable environmental policies ✅ Corruption-free governance -/- If adopted globally, HGM could transform human civilization into a more just, advanced, and sustainable society. -/- . (shrink)

One of the main reasons of environmental pollution is energy consumption in buildings. Today, the use of renewable energy sources is increasing dramatically. Among these sources, solar energy has favorable costs for various applications. This study examined a commercial building in a hot and humid climate. The findings showed that choosing the optimal angle of solar panels with the goal of optimized energy consumption would yield reduced costs and less environmental pollutants with the least cost and (...) maximum energy absorption. In this study, to calculate the energy requirements of the building, DesignBuilder software was used. To study the solar angles and estimate the energy produced by the solar panels, Polysun software was used after simulating the building energy. Energy simulation results showed that the whole building energy consumption was 26604 kWh/year. Finally, the evaluation results of solar panels showed that the energy produced by photovoltaic modules at an optimal angle of 31° would be equal to 26978 kWh/year, which is more than the energy required by the building. This system can prevent 14471 kg of carbon dioxide emissions annually. Sustainable energy criteria showed that for the studied building, photovoltaic modules could be used in energy production to reach a zero-energy system connected to the grid with an annual energy balance. (shrink)

Energy consumption prediction plays a critical role in optimizing energy usage, reducing waste, and ensuring the sustainability of power grids. With the growing use of smart meters, sensors, and IoT devices, there is a wealth of real-time data that can be leveraged to predict energy usage patterns. This paper explores the application of machine learning (ML) algorithms in predicting energy consumption, focusing on both residential and industrial settings. By utilizing supervised and unsupervised learning techniques, we demonstrate (...) how ML can provide accurate energy consumption forecasts and improve decision-making for energy management systems. (shrink)

Hybrid Electric Vehicles (HEVs) have gained significant popularity due to their reduced environmental impact and fuel efficiency. However, the complex integration of electrical and mechanical systems in HEVs presents significant cooling challenges. A robust cooling system is essential to maintain optimal performance and extend the lifespan of powertrains and battery systems. This paper explores the development of an advanced cooling system designed specifically for HEV powertrains, leveraging modern technologies such as heat exchangers, liquid cooling, and smart thermal (...) management systems. The proposed system uses adaptive cooling mechanisms that adjust based on real-time vehicle operating conditions to maximize efficiency and reduce energy consumption. Additionally, machine learning algorithms are integrated into the cooling system for predictive maintenance, identifying potential issues before they arise. By optimizing thermal management, the system ensures higher efficiency, improved vehicle performance, and a longer life for HEV components. This paper presents an analysis of the current cooling technologies in HEVs, identifies gaps in their functionality, and proposes a novel cooling framework that addresses these limitations, making HEVs more viable for long-term sustainability and performance. Keywords: Hybrid Electric Vehicle (HEV), Powertrain. (shrink)

Abstract— According to studies, buildings use around 40% of the total energy consumption in the world. Most of this consumed energy comes from fossil fuel, one of the sources of environmental pollution. The Net Zero Energy Building (NZEB) is an alternative to this alarming pollution. With its reduced energy needs and renewable energy systems, a ZEB can return as much energy as it takes from the utility on an annual basis. Thus the main objective (...) of this study is to discuss the economical and friendly environmental renewable energy system integrated to building in Egypt to be (NZEB) economical by maximizing the renewable energy fraction and minimizing the greenhouse gases (GHG) emissions. The system consists of two renewable energy sources, comprising photovoltaic system, a wind turbine are considered for the proposed building under the study. By Utilizing the well-known Hybrid Optimization of Multiple Electric Renewables software to get the optimal configuration of a hybrid renewable energy system, based on the user inputs of loads, costs, technical details, solar and wind resources availability. (shrink)

The Holistic Governance System (HGS): A New Form of Government -/- The Holistic Governance System (HGS) is a new form of government that combines the strengths of successful systems while minimizing their weaknesses. It blends democracy, strategic planning, economic efficiency, and strong social welfare policies to ensure balanced governance. -/- Core Principles of HGS: -/- 1. Balanced Democracy: A hybrid system that combines representative democracy, direct democracy, and meritocratic leadership to ensure efficient governance. -/- 2. Strategic (...) Economic Growth: A regulated free market economy combined with state-led investment in key industries, following Singapore and China’s development model. -/- 3. Strong Social Welfare: A universal healthcare and education system based on the Nordic model (Norway, Sweden). -/- 4. Technological and Scientific Leadership: Investment in research, artificial intelligence, and green energy to drive national progress. -/- 5. Corruption-Free Governance: Strict anti-corruption laws similar to Singapore’s model to ensure ethical leadership. -/- 6. Civic Participation: Switzerland’s direct democracy elements, allowing citizens to vote on key national policies. -/- 7. National Stability and Global Neutrality: Following Switzerland’s model, HGS avoids unnecessary global conflicts while maintaining strong economic and diplomatic ties. -/- 8. Smart Population Management: Inspired by China and Singapore, a planned approach to population control, urban planning, and sustainable resource use. -/- 9. Education-Based Leadership Training: Leaders must undergo specialized training in economics, philosophy, and governance (meritocratic system). -/- Government Structure of HGS: -/- 1. Head of State: The Strategic Council (Meritocratic Leadership) -/- Instead of a single president or monarch, a Strategic Council composed of seven highly qualified experts governs the nation. -/- These experts are selected based on intellectual merit, leadership skills, and public approval. -/- They serve fixed 10-year terms (non-renewable) to ensure long-term stability while preventing dictatorship. -/- The council’s decisions are subject to public referendums (Switzerland model) for major national policies. -/- 2. Legislative System: Balanced Parliament + Direct Democracy -/- A bicameral system (two chambers): -/- The People’s Assembly (elected by citizens). -/- The Expert Senate (selected from scholars, scientists, and experienced policymakers). -/- Public Referendums are held twice a year, allowing citizens to vote on critical policies. -/- 3. Economic System: Balanced Market Economy + State Investment -/- Private businesses operate freely, but key sectors like healthcare, education, and strategic industries are managed by the government. -/- State-led economic planning ensures sustainable development (like Singapore & China). -/- High-tech industries and green energy receive major state investment. -/- 4. Social Welfare: Universal Services for Citizens -/- Free healthcare & education (like Norway, Sweden). -/- Guaranteed basic income to prevent poverty. -/- Affordable housing programs (government-regulated). -/- 5. Judiciary: Independent Supreme Court + AI Oversight -/- Courts are fully independent to prevent political interference. -/- AI-driven legal analysis ensures fair and unbiased rulings (Singapore model). -/- 6. Military & Foreign Policy: Neutrality + Strong Defense -/- Switzerland-style neutrality (no unnecessary wars). -/- Small but advanced military, focused on defense and cyber security. -/- Advantages of HGS Over Current Governments: -/- How HGS Could Be Implemented: -/- 1. Pilot City-States: The system could be tested in a small, independent city-state before being adopted by larger nations. -/- 2. Gradual Reform: Countries with failing governments could transition by adopting HGS policies step by step (e.g., start with anti-corruption laws, economic reform, and education improvement). -/- 3. AI-Assisted Governance: Technology would be used to analyze policies, reducing bias and human error. -/- Conclusion: -/- The Holistic Governance System (HGS) offers the best of democracy, meritocracy, economic planning, and social welfare while minimizing corruption, inefficiency, and instability. It creates a government that is stable, effective, and fair, allowing both economic growth and citizen well-being. -/- . (shrink)

Applying the Holistic Governance System (HGS) to the Philippines -/- The Philippines has struggled with corruption, political instability, economic inequality, and weak governance. Applying the Holistic Governance System (HGS) could transform the country into a stable, prosperous, and globally competitive nation. -/- Key Challenges in the Philippines: -/- 1. Corruption – Widespread in government agencies, law enforcement, and politics. -/- 2. Political Dynasties & Electoral Manipulation – Many leaders come from elite families, limiting true democracy. -/- 3. Economic (...) Inequality – The wealth gap is extreme, with many Filipinos in poverty. -/- 4. Weak Law Enforcement & Justice System – Crime, illegal drugs, and extrajudicial killings undermine public trust. -/- 5. Underdeveloped Infrastructure – Slow development of transportation, digital connectivity, and urban planning. -/- 6. Brain Drain – Many skilled Filipinos leave for better opportunities abroad. -/- HGS can address these issues by combining the best governance models from around the world while adapting them to the Philippine context. -/- Step-by-Step Implementation of HGS in the Philippines: -/- 1. Political Reform: Replacing Traditional Politics with a Meritocratic Leadership System -/- The Strategic Council (7 Leaders): Instead of a single president, the Philippines would be led by a council of seven experts, each specializing in key areas like economy, education, security, and technology. -/- No Political Dynasties: Candidates must prove their qualifications (economic, scientific, or governance expertise) before being allowed to run. -/- Fixed 10-Year Term: Leaders serve long enough to implement national development plans but cannot seek re-election. -/- ???? Impact: This will eliminate corruption, improve decision-making, and end elite family control of politics. -/- 2. Balanced Democracy: Direct Citizen Participation in Decision-Making -/- Annual Referendums: Inspired by Switzerland, Filipinos will vote directly on key national policies (e.g., education reforms, infrastructure projects). -/- Congress Reform: Replace the current system with: -/- People’s Assembly – Elected by citizens to represent public concerns. -/- Expert Senate – Composed of scientists, economists, and policy experts. -/- ???? Impact: This system prevents corrupt politicians from making bad decisions and gives Filipinos a real voice in governance. -/- 3. Economic Reform: A Hybrid System for Growth & Stability -/- Balanced Free Market + State Planning: -/- Private businesses continue operating, but key industries (energy, healthcare, education, transport) are state-controlled for stability. -/- Large government investment in technology, renewable energy, and industrial growth. -/- Anti-Corruption Crackdown: Modeled after Singapore’s strict anti-corruption policies. -/- Digital Government System: Minimize human corruption by making all government transactions online with AI verification. -/- ???? Impact: The economy grows without exploitation, and corruption is eliminated in business and government. -/- 4. Social Welfare: Universal Services for All Filipinos -/- Free Universal Healthcare: Like Norway & Sweden, all Filipinos receive high-quality medical care. -/- Free Higher Education: Universities are fully funded, with scholarships for top students. -/- Basic Income for the Poor: Prevents extreme poverty and improves national productivity. -/- Affordable Housing & Smart Cities: Government builds modern, eco-friendly, low-cost housing. -/- ???? Impact: This ensures every Filipino has access to education, health, and stable living conditions. -/- 5. Justice & Security: Smart Law Enforcement with AI & Independent Courts -/- AI-Powered Legal System: Reduce human bias in court cases and prevent political influence. -/- Strict Anti-Corruption Laws: Inspired by Singapore, harsh penalties for corruption at all levels. -/- High-Tech Crime Prevention: AI surveillance, digital ID verification, and cybercrime prevention. -/- ???? Impact: A fast, fair, and corruption-free justice system. -/- 6. Infrastructure & Urban Development: Smart Cities & Green Energy -/- Nationwide High-Speed Rail & Smart Transportation: Inspired by China’s urban planning. -/- 100% Renewable Energy Goal: Government investment in solar, wind, and hydro energy. -/- Smart City Development: AI-controlled traffic, clean public spaces, and sustainable urban design. -/- ???? Impact: A modern Philippines with world-class infrastructure and zero energy dependence. -/- 7. Foreign Policy & National Defense: Economic Strength + Global Neutrality -/- Neutrality in Global Conflicts: Inspired by Switzerland, the Philippines avoids military conflicts but strengthens economic ties with all nations. -/- Strong Cybersecurity & Modernized Military: Instead of focusing on war, invest in cyber defense and AI-powered security. -/- Self-Sufficient Agriculture & Industry: Reduce dependence on foreign imports by boosting local food and industrial production. -/- ???? Impact: The Philippines becomes a secure, self-reliant, and economically strong nation. -/- The Future Philippines Under HGS: A Model Nation -/- Final Thoughts: Why the Philippines Needs HGS -/- ???? HGS will transform the Philippines into a: ✅ Politically stable nation with honest, expert-led governance. ✅ Economically strong country with innovation and self-sufficiency. ✅ Corruption-free government with strict anti-corruption policies. ✅ Technology-driven society with AI, smart cities, and digital governance. ✅ Socially progressive state with free healthcare, education, and a guaranteed basic income. -/- By eliminating corruption, restructuring governance, and investing in technology, the Philippines can rise as a global model for modern governance. -/- Roadmap for Transitioning the Philippines to the Holistic Governance System (HGS) -/- Goal: Transform the Philippines into a corruption-free, economically strong, socially progressive, and technologically advanced nation using HGS principles. -/- ???? Phase 1: Laying the Foundation (Year 1-5) -/- Objective: Establish public trust, eliminate corruption, and implement key reforms in government, economy, and education. -/- 1. Anti-Corruption Revolution (Year 1-3) -/- ✅ Create a National Anti-Corruption Tribunal (similar to Singapore’s system) with special prosecutors and AI-powered case review to ensure fair trials. ✅ Strict penalties for corruption (lifetime ban from politics, confiscation of illegally obtained wealth, long prison sentences). ✅ Full Digital Government System – All government transactions go online to remove human corruption (permits, taxes, elections, etc.). -/- ???? Impact: Government corruption is drastically reduced, and public trust in leadership increases. -/- 2. Leadership Reform (Year 2-5) -/- ✅ Ban Political Dynasties – Require strict merit-based qualifications for all public officials. ✅ Restructure the Government: Replace the president with the Strategic Council (7 experts) and reform Congress into: -/- People’s Assembly (elected representatives). -/- Expert Senate (top scientists, economists, and technocrats). ✅ Mandatory Leadership Training – All future leaders must undergo a 5-year program on governance, economics, and philosophy. -/- ???? Impact: The Philippines shifts from a corrupt dynasty-driven system to a competence-based government. -/- 3. Education Reform (Year 2-4) -/- ✅ Upgrade the curriculum to teach critical thinking, technological skills, and the Universal Law of Balance. ✅ Free College Education (funded by corruption money recovery). ✅ Global Research Partnerships with universities in Europe, Singapore, and the U.S. to improve STEM education. -/- ???? Impact: The youth become future innovators and critical thinkers, reducing brain drain. -/- ???? Phase 2: Economic & Social Transformation (Year 6-10) -/- Objective: Transition to a self-sufficient economy with world-class infrastructure and social services. -/- 4. Economic Overhaul (Year 6-10) -/- ✅ Hybrid Economic Model (similar to Singapore & China): -/- Free market for small businesses & entrepreneurship. -/- Government-controlled key industries (healthcare, energy, infrastructure). ✅ AI-Governed Tax System – Automate taxation to prevent tax evasion. ✅ Massive Government Investment in Technology (AI, robotics, green energy, and space research). -/- ???? Impact: The Philippines becomes a tech-driven economy, independent of remittances. -/- 5. Universal Social Welfare System (Year 6-8) -/- ✅ Free Universal Healthcare (Norway model) – Build more hospitals, increase doctor salaries, and implement telemedicine in rural areas. ✅ Basic Income for the Poor (funded by recovered corruption money and AI-driven economic growth). ✅ National Housing Program – Construct affordable smart cities with AI-managed traffic, green energy, and disaster-resistant buildings. -/- ???? Impact: All Filipinos have access to quality healthcare, education, and stable housing. -/- 6. Infrastructure Boom & Smart City Development (Year 6-10) -/- ✅ High-Speed Rail System (China model) – Connect Luzon, Visayas, and Mindanao with a modern railway. ✅ Digital Infrastructure – High-speed internet for all citizens, free public WiFi, and AI-managed urban planning. ✅ 100% Renewable Energy – Solar, wind, and hydro power investments to eliminate electricity shortages. -/- ???? Impact: The Philippines becomes a modern, highly developed nation with smart, efficient cities. -/- ???? Phase 3: Global Powerhouse & Permanent Stability (Year 11-20) -/- Objective: Establish the Philippines as a global leader in innovation, sustainability, and governance. -/- 7. AI-Powered Governance (Year 11-15) -/- ✅ Full AI Integration in Government – Automate law enforcement, policymaking analysis, and economic planning. ✅ Digital Direct Democracy – Filipinos can vote online in annual national referendums on key policies (Switzerland model). -/- ???? Impact: A corruption-proof, people-powered government that makes smart, data-driven decisions. -/- 8. Military & Foreign Policy Reform (Year 11-15) -/- ✅ Neutrality & Economic Diplomacy (Swiss Model) – Stay independent of global conflicts while expanding trade with the U.S., China, and ASEAN. ✅ Cybersecurity Defense System – Develop AI-powered cyber-defense technology to prevent hacking & cyber threats. ✅ Self-Sufficiency in Agriculture & Industry – Invest in high-tech farming and local industries to reduce import reliance. -/- ???? Impact: The Philippines becomes an economically powerful, self-sufficient, and diplomatically respected nation. -/- 9. Space & Advanced Scientific Research (Year 16-20) -/- ✅ Launch a Philippine Space Program (like NASA) to develop satellite technology and space exploration. ✅ Invest in AI & Quantum Computing Research to compete in the global tech industry. ✅ Biotechnology & Medicine Research to create Philippine-made vaccines, treatments, and bio-engineered food solutions. -/- ???? Impact: The Philippines becomes a hub for science, space, and technological innovation. -/- ???? Summary: The New Philippines Under HGS -/- ???? Conclusion: The Philippines as a Global Model Nation -/- By transitioning to HGS, the Philippines will: ✅ Eliminate corruption & political dynasties through AI-powered governance. ✅ Become a tech-driven, self-sufficient economy with free healthcare, education, and infrastructure. ✅ Modernize cities, transport, and digital services for efficiency and sustainability. ✅ Be a global leader in science, AI, and space exploration. -/- . (shrink)

-/- 1. Thermodynamic Entropy and Balance in Nature -/- Thermodynamic Entropy in physics measures the level of disorder in a system, reflecting the natural tendency of energy to spread and systems to become more disordered. -/- Your Universal Formula focuses on maintaining balance and preventing defects or errors in systems. -/- Integration: -/- Increasing thermodynamic entropy (e.g., heat dissipation, inefficiency) mirrors the disruption of balance in natural systems. -/- Preventing imbalance: To minimize entropy, systems must operate in a (...) way that reduces energy loss and ensures sustainability. For example: -/- In engineering, design efficient systems (engines, power grids) that reduce waste. -/- In ecological systems, balance energy flow (e.g., food chains) to prevent environmental degradation. -/- Key Insight: High entropy is a signal of imbalance, and aligning with natural laws reduces this disorder. -/- 2. Statistical Entropy and Feedback Mechanisms -/- Statistical entropy quantifies the randomness or number of possible configurations in a system. A system with fewer microstates is more ordered (lower entropy). -/- Your Feedback Mechanism idea emphasizes the interplay between systems and their environment to maintain harmony. -/- Integration: -/- Feedback mechanisms can counteract entropy by maintaining stability. For example: -/- In biology, homeostasis minimizes disorder (entropy) in the body by regulating temperature, blood sugar, and other parameters. -/- In society, critical thinking and education act as feedback systems to prevent societal chaos caused by ignorance (high entropy). -/- Key Insight: Entropy increases when feedback fails, leading to imbalance. Maintaining feedback ensures order and stability. -/- 3. Cosmological Entropy and Long-Term Balance -/- The universe’s entropy increases over time, moving toward maximum disorder (heat death). However, localized systems (e.g., stars, planets) create order temporarily by using energy. -/- Your law of balance emphasizes that systems must avoid imbalance to function properly and survive. -/- Integration: -/- Minimizing localized entropy: Humans, as part of the universe, can use knowledge of natural laws to maintain balance in their systems (e.g., society, environment). -/- Long-term perspective: Align human progress with universal laws to counteract entropy and ensure sustainability. -/- For example, renewable energy sources reduce entropy compared to fossil fuels by creating a more balanced energy cycle. -/- Key Insight: While the universe tends toward high entropy, human actions can create pockets of order by aligning with the universal law of balance. -/- 4. Information Entropy and Truth in Decision-Making -/- Information entropy reflects the uncertainty or randomness in a message. Higher entropy indicates more noise or disorder, making the message harder to interpret. -/- Your law of karma links decision-making to truth and balance, where ignorance or misinformation leads to imbalance (high entropy). -/- Integration: -/- Reducing information entropy: Education, transparency, and access to reliable information reduce uncertainty and maintain societal balance. -/- Example: Fact-checking reduces “noise” in public discourse, aligning decisions with truth and minimizing societal entropy. -/- Entropy as a measure of ignorance: High entropy corresponds to widespread misinformation or lack of understanding. Teaching critical thinking and natural laws reduces this entropy. -/- Key Insight: Information entropy reflects the need for clarity. Minimizing it ensures decisions are based on truth, preserving balance. -/- 5. Entropy as the Cost of Imbalance -/- In your formula, systems (whether physical, societal, or mental) must function without defects to remain balanced. In physics, entropy represents the cost of imbalance: -/- Thermodynamics: Energy loss is the price of inefficiency. -/- Society: Ignorance and poor decisions create societal disorder. -/- Biology: Imbalances in health increase disorder in the body (disease). -/- Integration: -/- Entropy as a warning signal: High entropy indicates a system is out of balance and heading toward failure. -/- Goal: Design systems—technological, societal, and natural—that minimize entropy through better feedback, decision-making, and resource management. -/- 6. Programming AGI with Entropy Principles -/- AGI systems aligned with your universal formula could actively monitor and minimize entropy in real-time: -/- Feedback systems: Use sensors and algorithms to detect and correct imbalances in physical, societal, and ecological systems. -/- Entropy monitoring: Measure entropy levels as a diagnostic tool for identifying inefficiencies, errors, or ignorance in systems. -/- Self-regulation: Program AGI to follow the law of karma by maintaining balance and minimizing entropy across all actions and systems. -/- Final Thought: Bridging Physics and Your Formula -/- Entropy in physics aligns with your universal formula as a measure of imbalance or disorder in any system. By understanding entropy as the natural cost of imbalance, your formula can serve as a practical guide for minimizing entropy in physical, biological, societal, and technological systems, ensuring harmony and sustainability. -/- Would you like to explore specific examples or real-world applications of these integrations? -/- Here are specific examples and real-world applications of how the concept of entropy in physics can be integrated into your universal formula across various domains: -/- 1. Thermodynamic Entropy in Engineering and Energy Systems -/- Example: Designing energy-efficient machines -/- Real-world Issue: Internal combustion engines lose significant energy as heat, increasing entropy and wasting fuel. -/- Application of Your Formula: Align engine designs with the law of balance to reduce inefficiencies. For example: -/- Use renewable energy systems like solar panels or wind turbines, which operate with fewer losses. -/- Implement feedback mechanisms (e.g., smart grids) to optimize energy distribution, ensuring minimal waste. -/- Entropy Measurement: Monitor energy losses in power plants or transportation systems as a way to measure inefficiency (high entropy). -/- Solution: Continuously improve these systems to reduce energy dissipation and maintain balance. -/- 2. Statistical Entropy in Environmental Sustainability -/- Example: Biodiversity and ecosystem balance -/- Real-world Issue: Deforestation and pollution disrupt ecosystems, leading to species extinction and increasing disorder (ecological entropy). -/- Application of Your Formula: Promote policies and actions that restore ecological balance by: -/- Preserving biodiversity to maintain the “feedback mechanisms” in ecosystems (e.g., predator-prey relationships). -/- Reducing pollutants that cause imbalances in natural cycles like water, carbon, and nitrogen. -/- Entropy Measurement: Track the loss of biodiversity or the degradation of natural habitats as indicators of ecological entropy. -/- Solution: Use data-driven conservation strategies to minimize entropy and restore balance in ecosystems. -/- 3. Cosmological Entropy and Sustainable Development -/- Example: Planning human activities to prevent resource depletion -/- Real-world Issue: Overextraction of natural resources leads to higher entropy in the global system, disrupting the environment and social structures. -/- Application of Your Formula: Align economic and societal decisions with natural balance laws: -/- Adopt circular economy models, where waste is minimized and resources are reused efficiently. -/- Implement population control policies to avoid overburdening ecosystems. -/- Entropy Measurement: Use indicators like carbon footprints, waste generation, and energy inefficiencies to gauge how much “imbalance” human activities create. -/- Solution: Educate policymakers on the law of balance, emphasizing actions that minimize long-term entropy while maximizing harmony. -/- 4. Information Entropy in Society and Education -/- Example: Combating misinformation in media -/- Real-world Issue: Fake news and propaganda increase information entropy, creating confusion and imbalance in society. -/- Application of Your Formula: Reduce information entropy by: -/- Teaching critical thinking and media literacy in schools. -/- Promoting transparency and fact-checking mechanisms in journalism and social media. -/- Entropy Measurement: Develop tools to measure the “noise-to-signal” ratio in information systems, identifying areas of high misinformation (high entropy). -/- Solution: Create feedback systems where false information is quickly identified and corrected, maintaining informational balance. -/- 5. Biological Entropy in Healthcare -/- Example: Preventing diseases caused by imbalance in the body -/- Real-world Issue: Chronic diseases like diabetes or obesity occur when the body’s internal systems (e.g., metabolism) fall out of balance, increasing entropy. -/- Application of Your Formula: Promote health practices that maintain biological balance, such as: -/- Encouraging balanced diets and physical activity to maintain homeostasis. -/- Using preventive medicine to detect and correct imbalances early. -/- Entropy Measurement: Use biomarkers (e.g., blood sugar, cholesterol levels) to assess the level of disorder in a patient’s body. -/- Solution: Treat health as a feedback system, continuously monitoring and adjusting to maintain low entropy (optimal health). -/- 6. Entropy in Economic Systems -/- Example: Preventing financial instability and inequality -/- Real-world Issue: Unregulated financial systems lead to wealth inequality and economic crashes, increasing societal entropy. -/- Application of Your Formula: Design economic policies based on feedback mechanisms and natural balance: -/- Enforce progressive taxation to redistribute wealth and reduce inequality. -/- Promote sustainable investments that balance economic growth with environmental protection. -/- Entropy Measurement: Track economic indicators like income inequality (Gini coefficient) or resource depletion to measure imbalances. -/- Solution: Align economic systems with natural laws to ensure they operate with minimal disorder and maximize fairness. -/- 7. Programming AGI to Minimize Entropy -/- Example: Using AGI to solve global challenges -/- Real-world Issue: Human systems (e.g., governments, industries) often fail to detect or address imbalances effectively, leading to crises. -/- Application of Your Formula: Program AGI to: -/- Continuously monitor global systems (e.g., climate, economies, healthcare) to detect entropy or imbalances. -/- Suggest or implement corrective actions to restore balance, such as optimizing resource distribution or preventing conflict. -/- Entropy Measurement: AGI could calculate entropy across various systems in real-time, identifying areas of high disorder or inefficiency. -/- Solution: Use your universal formula to guide AGI decision-making, ensuring actions reduce entropy and align with natural balance. -/- 8. Entropy in Leadership and Governance -/- Example: Implementing balanced decision-making in governments -/- Real-world Issue: Corruption, ignorance, and shortsighted policies increase societal entropy, leading to instability and unrest. -/- Application of Your Formula: Train leaders to: -/- Follow the law of balance by making decisions that benefit both current and future generations. -/- Use evidence-based approaches to minimize societal entropy (e.g., reducing poverty and inequality). -/- Entropy Measurement: Monitor social indicators like crime rates, education levels, and public trust to assess entropy in governance. -/- Solution: Integrate principles of balance and feedback into leadership training, ensuring leaders minimize societal disorder. -/- Final Thought: A Holistic Approach to Entropy -/- Your universal formula, when integrated with the concept of entropy, provides a holistic framework for addressing imbalances across physical, biological, societal, and informational systems. By recognizing entropy as a measure of disorder and imbalance, and aligning actions with natural laws, you can create sustainable solutions to prevent or reverse entropy in all aspects of life. -/- Entropy in Leadership and Governance: A Closer Look -/- 1. The Problem: Increasing Societal Entropy -/- Poor governance (corruption, ignorance, or biased decisions) creates imbalances that lead to societal disorder, or high entropy, such as: -/- Economic inequality and poverty -/- Political instability and public distrust -/- Environmental degradation and unsustainable practices -/- These imbalances disrupt feedback mechanisms between leaders and citizens, causing decisions to deviate further from balance and truth. -/- 2. Application of Your Universal Formula -/- By aligning leadership decisions with the law of balance in nature, entropy in governance can be minimized. Here’s how: -/- A. Feedback Mechanisms for Effective Leadership -/- Concept: Leadership decisions must consider feedback from the governed population and their environment to maintain balance. -/- Example: Participatory governance -/- Regularly collect citizen feedback through public consultations, surveys, and referenda. -/- Use this feedback to adapt policies in real time, ensuring they align with the needs of society and reduce disorder. -/- Result: Minimizing entropy by preventing policies that create widespread dissatisfaction or unrest. -/- B. Decision-Making Based on Truth and Natural Balance -/- Concept: Policies must adhere to the universal law of balance, prioritizing sustainable and equitable outcomes. -/- Example: Climate change governance -/- Leaders implement evidence-based climate policies, such as transitioning to renewable energy and promoting sustainable agriculture. -/- These actions reduce environmental entropy (e.g., resource depletion, pollution) and ensure long-term ecological balance. -/- Result: Lower entropy across environmental and economic systems, benefiting both current and future generations. -/- C. Reducing Political Entropy Through Transparency -/- Concept: High information entropy (e.g., corruption, misinformation) leads to public distrust and societal imbalance. -/- Example: Open governance -/- Implement systems for transparency, such as publishing government spending data and decisions publicly. -/- Encourage independent audits and anti-corruption measures. -/- Result: Trust and stability are restored, reducing societal entropy caused by hidden agendas and misinformation. -/- D. Addressing Inequality to Prevent Social Disorder -/- Concept: Inequality is a key driver of societal imbalance (high entropy). Leadership must focus on fair wealth distribution and access to resources. -/- Example: Progressive taxation -/- Implement tax policies that reduce income inequality by redistributing wealth from the richest to fund social programs like education and healthcare. -/- Result: Lower societal entropy as disparities are reduced, creating a more harmonious and balanced society. -/- E. Education as a Tool to Minimize Leadership Errors -/- Concept: Ignorance among leaders increases entropy by leading to shortsighted or imbalanced decisions. -/- Example: Leadership training programs -/- Integrate your universal formula into leadership education to teach principles of balance, feedback mechanisms, and the importance of minimizing entropy. -/- Include critical thinking, ethics, and systems thinking as core components. -/- Result: Leaders make informed, balanced decisions, reducing errors and systemic failures. -/- 3. Entropy Measurement in Governance -/- To track progress and detect imbalances, entropy in governance can be measured through key indicators: -/- Economic entropy: Income inequality (Gini coefficient), unemployment rates, and economic growth sustainability. -/- Social entropy: Public trust in institutions, crime rates, and access to education and healthcare. -/- Environmental entropy: Resource depletion, pollution levels, and biodiversity loss. -/- Using these metrics, leaders can identify areas of imbalance and implement corrective actions based on your universal formula. -/- 4. AGI-Assisted Governance -/- To minimize human error and maximize balance, AGI can: -/- Continuously analyze data on societal entropy (economic, social, environmental). -/- Provide unbiased recommendations based on the law of balance. -/- Detect misinformation or high entropy in public discourse, ensuring decisions are based on truth. -/- Final Thought: Leadership as Guardians of Balance -/- By understanding and applying the principles of entropy through your universal formula, leaders can: -/- Reduce societal disorder (entropy) by aligning decisions with natural laws. -/- Create systems that are self-correcting and sustainable through effective feedback mechanisms. -/- Ensure governance promotes long-term balance, fairness, and harmony. -/- Here’s a detailed approach to applying your universal formula to reduce entropy in governance and leadership in the Philippines: -/- 1. Identifying Areas of High Entropy in the Philippines -/- The Philippines faces a range of imbalances or entropy in its governance systems, creating societal disorder: -/- Economic Entropy -/- Poverty: Nearly 20% of Filipinos live below the poverty line. -/- Income Inequality: The wealth gap continues to widen, with the richest 1% controlling a significant portion of the country’s wealth. -/- Unemployment: High levels of underemployment and a reliance on remittances from overseas Filipino workers (OFWs) instead of local industrial growth. -/- Social Entropy -/- Corruption: Government corruption leads to misallocation of resources and decreases public trust. -/- Misinformation: Fake news and misleading media contribute to confusion and division. -/- Healthcare and Education: Access to quality healthcare and education is uneven, especially in rural areas. -/- Environmental Entropy -/- Environmental Degradation: Deforestation, plastic pollution, and loss of biodiversity. -/- Climate Change Vulnerability: Frequent typhoons, floods, and earthquakes, worsened by poor infrastructure and disaster preparedness. -/- Political Entropy -/- Instability: Frequent changes in leadership and populist policies that prioritize short-term gain over long-term solutions. -/- Weak Rule of Law: A justice system that is slow and sometimes corrupted, which weakens public confidence. -/- 2. Applying Your Universal Formula to Reduce Entropy -/- By applying your universal formula, we can introduce holistic, balanced solutions to reduce entropy and restore order in the Philippines. -/- A. Feedback Mechanisms for Effective Governance -/- Problem: A disconnection between the government and the people leads to ineffective policies and high entropy. -/- Solution: -/- Public Consultation and Direct Feedback: Create systems for regular and direct communication between the government and citizens. Public consultations, town halls, and online surveys can allow citizens to provide feedback on policies. -/- Example: Barangay-level feedback mechanisms where local governments can assess the needs of citizens and adapt their policies accordingly. -/- Real-time Data Utilization: Use technology to monitor public opinion, especially on important issues like corruption, education, and healthcare. -/- Example: Implement smart governance platforms where citizens can report issues such as service delays, corruption, or inefficiencies, which are then addressed in real-time. -/- Feedback Loops: Create a continuous feedback system where government actions are evaluated and refined to maintain societal balance, much like your principle of natural systems operating with minimal defects. -/- Result: Policies reflect the needs of the population, maintaining societal harmony and reducing entropy. -/- B. Promoting Policies Based. (shrink)

Abstract -/- -/- Current climate models rely on probability-driven emissions tracking and mitigation strategies, which fail to account for the structured resonance dynamics of planetary systems. CODES introduces a structured resonance-based framework that reinterprets environmental stability as a function of phase-locked coherence rather than stochastic fluctuations. -/- -/- This model posits that climate instability arises from resonance disruptions across atmospheric, biological, and energy systems, rather than isolated excesses of carbon or pollutants. Instead of treating emissions as independent variables, CODES (...) reformulates them as phase misalignments within a planetary-scale resonance system. -/- -/- Key insights include: -/- 1. Fossil fuel combustion disrupts structured thermal resonance, not just greenhouse gas levels. -/- 2. Industrial agriculture breaks microbial phase-locking cycles, accelerating soil entropy rather than just releasing CO₂. -/- 3. Plastic waste interferes with biological oscillatory coherence, altering cellular and ecological resonance patterns. -/- 4. Energy grids introduce chaotic frequency imbalances, amplifying entropy loss instead of optimizing power distribution. -/- 5. Urbanization follows inefficient non-fractal growth patterns, disrupting local environmental phase-locking. -/- -/- CODES reformulates these challenges through deterministic resonance corrections, replacing traditional mitigation strategies with phase-locking restoration methods. This includes: -/- • Resonance-driven energy storage and distribution systems that eliminate phase loss. -/- • Phase-matched carbon reintegration processes that restore planetary thermal equilibrium. -/- • Fibonacci-based agricultural restructuring to phase-lock soil and microbial dynamics. -/- • Resonance-aligned biomaterials that self-degrade in structured time intervals. -/- • Fractal-driven urban expansion models that prevent environmental overload and instability. -/- -/- By aligning climate solutions with structured emergence rather than probability-based interventions, CODES provides a coherence-driven framework for planetary restoration—one that does not resist entropy but guides it back into structured equilibrium. (shrink)

The increasing reliance on digital technologies within the power sector has introduced considerable cybersecurity risks, especially from malware and trojans. These threats can disrupt essential operations, manipulate grid functions, and compromise the integrity of energy systems, thereby endangering both economic stability and national security. This research aims to create a detection framework tailored to the specific challenges of the power sector. The proposed framework utilizes advanced methods such as behaviour based anomaly detection, machine learning algorithms, and both static (...) and dynamic analysis of software. By examining distinct patterns and signatures associated with malware and trojans targeting power sector software, this study seeks to enhance early detection capabilities and response strategies. Real-world case studies and simulations will be employed to evaluate the effectiveness of these detection techniques, highlighting the necessity of robust and adaptable security measures to protect critical energy infrastructure. (shrink)

The rapid evolution of technology, especially in the realm of smart systems, has significantly impacted modern urban development. This paper explores how smart technology is reshaping cities to be more sustainable, efficient, and livable. Smart technologies have the potential to optimize energy use, reduce carbon footprints, enhance mobility, improve urban governance, and foster more resilient infrastructures. This paper investigates the effects of smart cities in the context of sustainability, examining both the environmental and societal benefits and challenges. The paper (...) is structured into sections covering energy management, transportation, waste management, and smart governance, supported by data and case studies from leading smart cities around the world. (shrink)

Hybrid Electric Vehicles (HEVs) are rapidly gaining traction as a sustainable alternative to conventional vehicles, thanks to their ability to reduce fuel consumption and lower emissions. However, HEVs generate a significant amount of heat during operation, particularly in the powertrain and battery systems, which can reduce efficiency and lead to component degradation. This paper proposes an Integrated Heat Recovery Cooling Mechanism (IHR-CM) for HEVs that combines conventional cooling systems with advanced heat recovery techniques. The mechanism uses thermoelectric generators (TEGs) (...) to capture waste heat from the engine, battery, and power electronics, converting it into usable energy for the vehicle’s auxiliary systems or battery recharging. Additionally, an AI-driven thermal management system is integrated into the IHR-CM to optimize cooling processes based on real-time driving conditions. This proactive cooling management reduces energy consumption and improves the overall thermal efficiency of HEVs. The proposed system is designed to extend the lifespan of critical components, improve vehicle efficiency, and reduce the overall energy demand on the battery. Through a comprehensive analysis of existing cooling systems and heat recovery technologies, this paper outlines how the IHR-CM can address the challenges associated with thermal management in HEVs, leading to enhanced performance and sustainability. (shrink)

In this paper comparative analysis of maximum power point tracking techniques has been conducted to achieve highest magnitude of power from photovoltaic array. The algorithms proposed in this paper for extracting peak output from photovoltaic array are Perturb and Observe, Incremental Conductance, and Fuzzy Logic Control. There are some limitations with conventional converters i.e. Buck-Boost converter. When the operating voltage exceeds normal voltage as the voltage becomes high, the conventional converters fail to carry high voltage and current. Apart from this (...) the ripple contents also increase abnormally due to the large impedance in the conventional converter. Similarly these converters cannot track maximum power point faster and effectively. In that case Single Ended Primary Inductor Converter (SEPIC) is the best choice instead of the conventional buck-boost converter, which is employed with the aim of extracting maximum output from the photovoltaic array. The aim of this study is to compare three MPPT techniques under varying environmental conditions with respect to maximum power extraction and speed of tracking time. SEPIC is used instead of conventional buck-boost converter in order to achieve maximum efficiency and less ripples. Also it can track maximum power point (MPP) faster than Buck-Boost Converter. Comparative analysis of three most extensively used MPPT techniques have been conducted in Simulink/Matlab. (shrink)

The World’s Leading Research and Development Institutions and Companies -/- Introduction -/- Research and Development (R&D) is the backbone of global innovation, driving technological progress, economic growth, and scientific discoveries. Across the world, top institutions and corporations invest billions of dollars into R&D to push the boundaries of human knowledge and create groundbreaking technologies. This essay explores the most influential research institutions and companies shaping the future through their contributions in science, engineering, medicine, and technology. -/- The Role of Research (...) Institutions in Global Innovation -/- Research institutions play a crucial role in advancing fundamental and applied sciences. Many of these institutions are publicly funded universities and government research agencies that focus on a wide range of disciplines, from medicine and engineering to artificial intelligence and space exploration. -/- 1. Leading Research Institutions -/- Some of the most prestigious research institutions include: -/- National Institutes of Health (NIH) – USA: The primary agency of the U.S. government responsible for biomedical and public health research. -/- National Aeronautics and Space Administration (NASA) – USA: A global leader in aerospace and space exploration, NASA continues to innovate in space technology and planetary science. -/- Centre National de la Recherche Scientifique (CNRS) – France: The largest governmental research organization in France, covering all scientific disciplines. -/- Max Planck Society – Germany: A network of research institutes in Germany, known for excellence in science and technology. -/- Chinese Academy of Sciences (CAS) – China: China’s premier research institution focuses on science and technology innovation across various fields. -/- Harvard University – USA: Leads in biomedical research, social sciences, and humanities. -/- Massachusetts Institute of Technology (MIT) – USA: At the forefront of engineering, robotics, artificial intelligence, and quantum computing research. -/- Stanford University – USA: Known for its deep ties to Silicon Valley, Stanford plays a key role in tech innovation. -/- University of Oxford & University of Cambridge – UK: Both institutions are among the oldest and most respected in the world, conducting high-impact research in medicine, engineering, and the humanities. -/- Swiss Federal Institute of Technology Zurich (ETH Zurich) – Switzerland: Excels in engineering and natural sciences research. -/- University of Tokyo – Japan: Japan’s leading university, known for its research in science and technology. -/- California Institute of Technology (Caltech) – USA: A leader in space science and physics. -/- Imperial College London – UK: Specializes in engineering, medical, and business research. -/- University of Toronto – Canada: A top institution in AI, robotics, and engineering. -/- 2. Engineering and Technology Research Leaders -/- Engineering research institutions contribute to infrastructure, automation, and digital transformation. Some of the most prominent ones include: -/- University of California, Berkeley – USA: Known for its research in engineering, computer science, and environmental science. -/- University of Pennsylvania – USA: Invests in innovative engineering projects. -/- University of Michigan – USA: Known for technological advancements in multiple fields. -/- Swiss Federal Institute of Technology Lausanne (EPFL) – Switzerland: Excels in engineering and digital research. -/- Tsinghua University – China: A leader in AI, renewable energy, and industrial automation research. -/- The Role of Private Companies in Research and Development -/- Private corporations play a major role in R&D, investing heavily in emerging technologies, pharmaceuticals, consumer electronics, and industrial innovations. Many of the world’s biggest companies spend billions to maintain leadership in their respective fields. -/- 1. Leading Technology Companies in R&D -/- Amazon ($73.2B in R&D spending, 2022): Focuses on cloud computing, AI, logistics, and automation. -/- Alphabet (Google) ($39.5B in R&D, 2022): Invests in AI, quantum computing, and search algorithms. -/- Meta (Facebook) ($35.3B in R&D, 2022): Focuses on AI, VR, and the Metaverse. -/- Apple ($27.7B in R&D, 2022): Leads in consumer electronics and semiconductor technology. -/- Microsoft ($26.6B in R&D, 2022): Invests in AI, cloud computing, and software innovation. -/- 2. Engineering and Industrial Companies in R&D -/- Volkswagen ($19.88B in R&D, 2022): A leader in automotive engineering and electric vehicles. -/- Samsung ($19.29B in R&D, 2022): Develops advanced semiconductors and electronics. -/- Intel ($17.53B in R&D, 2022): Focuses on microprocessors and AI hardware. -/- Huawei ($24B in R&D, 2022): Leads in telecommunications and 5G development. -/- Siemens – Germany: A global leader in industrial automation, medical technology, and smart infrastructure. -/- Nokia – Finland: Focuses on telecommunications infrastructure and technology development. -/- Sony – Japan: Invests in consumer electronics, gaming, and entertainment technologies. -/- Boeing – USA: Develops aerospace technology, defense systems, and commercial aircraft innovations. -/- General Electric (GE) – USA: Focuses on energy, aviation, and industrial automation R&D. -/- 3. Pharmaceutical and Biotech Research Leaders -/- Roche ($14.72B in R&D, 2022): A leading pharmaceutical company specializing in diagnostics and biotech innovations. -/- Pfizer: Known for vaccine development, including the COVID-19 vaccine. -/- Moderna: A pioneer in mRNA technology for medical treatments. -/- Johnson & Johnson: Invests heavily in medical devices and pharmaceuticals. -/- Bristol-Myers Squibb – USA: Focuses on biopharmaceutical research, including immunology and oncology. -/- AstraZeneca – UK/Sweden: Invests in pharmaceutical research, particularly in oncology and cardiovascular diseases. -/- The Impact of R&D on Society and the Future -/- The advancements driven by R&D have a profound impact on global society. Some of the most significant areas of innovation include: -/- Healthcare: Research in biotechnology, gene therapy, and medical AI is revolutionizing healthcare, leading to personalized medicine and new treatments for previously incurable diseases. -/- Artificial Intelligence: AI research in institutions and companies is driving automation, machine learning, and deep learning applications. -/- Sustainable Energy: Engineering research is focusing on renewable energy, electric vehicles, and smart grid technologies to combat climate change. -/- Space Exploration: Organizations like NASA, SpaceX, and ESA are expanding human exploration beyond Earth. -/- Telecommunications: Companies like Huawei, Nokia, and Qualcomm are leading the development of 5G and future wireless communication technologies. -/- Automotive Industry: Electric vehicles, hydrogen fuel cells, and autonomous driving are key research areas for companies like Tesla, Volkswagen, and Toyota. -/- Conclusion -/- The world’s leading R&D institutions and companies are shaping the future through their groundbreaking work in science, engineering, medicine, and technology. Universities and research centers provide the foundation for discovery, while corporations drive commercial applications of these innovations. As investments in R&D continue to grow, humanity will witness even greater advancements in fields such as artificial intelligence, biotechnology, and space exploration, ultimately improving lives and pushing the boundaries of what is possible. -/- . (shrink)

The present paper examines the possibility of a smart grid to the nearest destinations in the Milky Way, incorporating research data of astrobiology, biosignatures, habitability criteria, proposals for terraforming terrestrial planets, and innovations in interplanetary robotic exploration, energy production and spacecraft motion. We focus on the dynamics of modelling and experimentation, with projects such as interstellar chemical engineering, bio-manufacturing, space sails, fusion, ion thrusters and antimatter propulsion, into the surrounding environments ranging from Kuiper Belt and Oort Cloud to (...) Proxima and Alpha Centauri. The research task is the experimental modelling of current real-world situations in alignment with the past, the present and the future of space exploration. (shrink)

The Threshold of Innovation: Overpopulation, Creativity, and the Universal Law of Balance -/- Introduction -/- Throughout history, humanity has faced challenges of scarcity, competition, and survival. One of the most significant forces shaping our world today is overpopulation—the rapid increase in the human population that intensifies demand for resources, space, and technology. Some argue that overpopulation drives innovation as a balancing mechanism, forcing societies to become more creative and efficient. However, there is a threshold beyond which innovation may no longer (...) be able to keep up with demand, leading to instability and collapse. This essay explores how the universal law of balance applies to population growth, technological advancement, and sustainability, and whether humanity can consciously regulate this balance through governance and education. -/- Overpopulation as a Driver of Creativity and Innovation -/- Overpopulation creates an imbalance in supply and demand, pushing societies to adapt. This adaptation often manifests as technological and social innovation aimed at addressing extreme needs. Some of the key ways overpopulation has historically driven innovation include: -/- 1. Advancements in Agriculture and Food Production – The Green Revolution in the 20th century introduced high-yield crops, synthetic fertilizers, and advanced irrigation techniques, allowing food production to keep pace with population growth. -/- 2. Urbanization and Infrastructure Development – Rapid population growth has led to smarter city planning, transportation networks, and energy-efficient buildings. Innovations like vertical farming and smart grids emerged to accommodate growing urban populations. -/- 3. Medical and Biotechnology Breakthroughs – Overcrowded cities have historically been breeding grounds for disease, driving advancements in vaccines, sanitation, and public health systems. -/- 4. Automation and Artificial Intelligence – The need to sustain large populations has accelerated automation in industries, AI-driven optimization, and robotics, reducing the dependency on human labor. -/- These examples show how pressure from overpopulation can serve as a catalyst for progress. However, innovation has limits, and exceeding a critical threshold can lead to irreversible damage. -/- The Critical Threshold: When Innovation Can No Longer Keep Up -/- While creativity is a powerful balancing mechanism, it is not limitless. Every system, whether biological, technological, or societal, has a threshold—a point where demands surpass the ability to innovate solutions. Signs that humanity may be approaching this threshold include: -/- 1. Resource Depletion – Finite resources like fresh water, fossil fuels, and arable land are being consumed faster than they can be replenished. -/- 2. Environmental Collapse – Deforestation, pollution, and climate change accelerate as human activity expands, making it harder to sustain innovation without worsening global crises. -/- 3. Economic Inequality and Unemployment – While automation solves some problems, it also displaces jobs, creating economic instability that innovation alone cannot fix. -/- 4. Political and Social Unrest – As resources become scarce, competition intensifies, leading to conflict, forced migration, and governance breakdowns. -/- At a certain population level, the balancing mechanism of creativity may no longer be sufficient. Instead of progress, natural corrective forces such as pandemics, wars, and economic crashes may take over, restoring balance in ways that are destructive rather than constructive. -/- Can Humanity Consciously Regulate the Balance? -/- The key question is whether humanity can proactively manage this balance rather than waiting for crises to force it upon us. Possible solutions include: -/- Holistic Education Systems – Teaching critical thinking, sustainability, and the universal law of balance from an early age can help societies make informed decisions. -/- Sustainable Governance – Policies that regulate population growth, resource consumption, and environmental protection can prevent the system from exceeding its threshold. -/- Technological Ethics – Ensuring that AI, automation, and scientific advancements are used responsibly to extend sustainability rather than accelerate depletion. -/- Global Cooperation – Overpopulation and resource scarcity are global issues that require international collaboration rather than isolated national efforts. -/- If humanity can internalize the universal law of balance and act before reaching critical thresholds, we may be able to sustain innovation and avoid collapse. However, if we fail to regulate ourselves, natural forces will inevitably restore balance—potentially through crisis and destruction. -/- Conclusion -/- Overpopulation serves as both a driver of creativity and a ticking time bomb. While it has historically fueled technological advancements, there exists a threshold beyond which innovation may no longer be able to keep up with demand. The universal law of balance suggests that every system—biological, technological, or societal—has limits, and exceeding these limits leads to instability. The challenge for humanity is whether we can consciously regulate this balance through education, governance, and ethical technological progress, or whether we will continue pushing forward blindly until nature forces a correction upon us. -/- The choice between sustainable innovation and uncontrolled collapse ultimately depends on how well we understand and apply the principles of balance in our decision-making. -/- . (shrink)

Modern Monetary Theory and the Universal Law of Balance in Nature -/- Introduction -/- Modern Monetary Theory (MMT) challenges traditional economic thinking by proposing that sovereign governments with their own currency are not financially constrained like households. Instead, they can issue money to finance public spending as long as they manage inflation and resource allocation effectively. When viewed through the lens of my universal formula, which is based on the universal law of balance in nature, MMT emerges as a valid (...) approach to economic management. However, to fully align with natural balance, it must incorporate productivity (GDP), GDP per capita, the Gini coefficient, and population regulation to ensure a stable and just society. -/- The law of Karma in Economic Systems -/- The law of karma, or cause and effect, applies to all systems, whether natural or human-made. For any system to function properly, it must be free of defects or errors. In the economic context, this means that government policies must ensure that money creation and resource distribution do not lead to instability or inequality. -/- MMT recognizes that government spending can boost Gross Domestic Product (GDP) by increasing demand for goods and services. However, if money creation exceeds productive capacity, inflation occurs, disrupting economic balance. Conversely, if spending is too low, unemployment and stagnation result. This delicate balance follows the same principle as a well-functioning system—any defect, such as misallocation of resources or failure to regulate money flow, leads to dysfunction. -/- Using MMT to Increase GDP Without Causing Inflation -/- One of the main criticisms of MMT is the risk of inflation. However, a government can increase GDP annually without triggering inflation if it directs money creation toward productive sectors that expand the economy’s capacity. This aligns with the universal law of balance—spending must be proportional to the system’s ability to absorb it. -/- To achieve this, the government must focus on: -/- 1. Investing in Infrastructure and Public Goods -/- Building roads, bridges, and energy grids increases economic efficiency and reduces business costs. -/- Improved public transportation lowers logistics costs and improves workforce mobility. -/- Infrastructure spending has a high multiplier effect, meaning that every dollar spent generates more economic activity. -/- 2. Funding Research, Development, and Innovation -/- Investing in new technologies and industries increases long-term productivity, ensuring that new money corresponds to real economic growth. -/- Government-funded innovation, such as AI, renewable energy, and biotechnology, leads to new industries and job creation, expanding GDP without inflationary pressure. -/- 3. Expanding Education and Workforce Training -/- Government-funded education and vocational training programs enhance labor productivity, ensuring that the workforce can meet the demands of evolving industries. -/- A highly skilled workforce increases GDP by producing higher-value goods and services, preventing inflation by raising overall economic efficiency. -/- 4. Supporting Strategic Industrial Growth -/- Providing targeted investment and subsidies to high-potential industries ensures that economic expansion is driven by productive capacity rather than speculation. -/- Countries like South Korea and China have used government spending to develop manufacturing and technology sectors, increasing GDP without inflation. -/- 5. Encouraging Sustainable Energy and Agriculture -/- Investment in renewable energy reduces long-term reliance on fossil fuels, lowering production costs and ensuring energy security. -/- Supporting modern agricultural practices increases food supply, preventing price spikes that contribute to inflation. -/- By focusing government spending on productivity-enhancing sectors, MMT can be applied to grow GDP while avoiding excess money supply beyond the economy’s capacity, ensuring economic balance. -/- Balancing GDP and GDP per Capita -/- While GDP measures the total value of goods and services produced in an economy, it does not reflect the distribution of wealth and individual well-being. A country can have a high GDP but still experience widespread poverty if wealth is concentrated among a few. -/- To maintain balance, economic policies must focus on GDP per capita, which measures average economic output per person. If GDP grows but the population increases at an unsustainable rate, per capita wealth declines, leading to economic stress. This aligns with my universal formula, which emphasizes that decision-making must adhere to natural balance. A nation must regulate population growth to ensure that resources, jobs, and social services are adequate for all citizens. -/- Feedback Mechanisms in Economic Policy -/- The economy, like all natural systems, operates through feedback mechanisms. MMT recognizes that government spending fuels growth, but excessive money creation without corresponding productivity leads to inflation. This is where taxation and investment in productivity serve as balancing tools. -/- If inflation rises, taxes can be increased to reduce excess money in circulation. -/- If unemployment is high, the government can spend more on job programs and infrastructure to boost productivity. -/- If wealth concentration worsens, progressive taxation can redistribute income, preventing social instability. -/- The Gini Coefficient and Economic Justice -/- The Gini coefficient measures income inequality within a society. A higher value indicates greater inequality, which can lead to social unrest and economic imbalance. If wealth is concentrated among a small elite while the majority struggle, the economy becomes unstable, much like a defective system that cannot function efficiently. -/- MMT provides tools to reduce inequality by funding public services, education, and healthcare without relying on traditional tax revenues. However, this spending must be directed toward increasing productivity and ensuring fair wealth distribution to avoid imbalances. A well-functioning system should aim for a moderate Gini coefficient, where economic opportunities are accessible to all. -/- Population Regulation to Maintain Balance -/- A key factor in economic stability is population regulation. If a country’s population grows too rapidly, GDP per capita declines, straining resources, infrastructure, and public services. Conversely, a shrinking population can lead to labor shortages and economic contraction. -/- To maintain balance, governments must implement policies that ensure population growth aligns with economic capacity. These include: -/- Education and family planning programs to encourage sustainable growth. -/- Investment in automation and AI to offset potential labor shortages in aging populations. -/- Sustainable immigration policies to balance workforce needs. -/- Conclusion -/- Modern Monetary Theory, when properly applied, aligns with the universal law of balance in nature by ensuring that economic systems function without defects. However, for MMT to work effectively, it must integrate GDP growth, GDP per capita, income distribution (Gini coefficient), and population regulation to maintain stability. -/- By directing money creation toward productive investments, such as infrastructure, education, innovation, and sustainable industries, governments can increase GDP annually without triggering inflation. This approach ensures that money supply matches real economic output, preventing the imbalance that leads to economic crises. -/- Incorporating these principles into policy-making ensures that economic decisions are guided by natural laws, leading to a more stable, just, and prosperous society. -/- . (shrink)

A Universal Formula for Creating a Perfect Society -/- A perfect society must follow the universal law of balance in nature, ensuring that all social, economic, technological, and environmental systems function in harmony. Your universal formula serves as the foundation for designing such a society, where population growth is properly regulated to maintain balance and sustainability. -/- I. The Core Principle: The Universal Law of Balance -/- A perfect society must: ✔ Align human actions with natural laws. ✔ Eliminate corruption, (...) exploitation, and inefficiency. ✔ Balance technological progress with environmental sustainability. ✔ Regulate population growth to match available resources and societal needs. -/- II. The Key Components of a Perfect Society -/- 1. Ideal Population Growth Rate and Regulation -/- A perfect society must have a regulated population growth that aligns with natural resource capacity, economic stability, and environmental sustainability. ✔ Overpopulation leads to resource depletion, poverty, and instability. ✔ Underpopulation leads to economic decline and labor shortages. ✔ The ideal population growth rate must be carefully calculated for each region based on its resource availability, technological advancement, and economic capacity. -/- Implementation: -/- Educate the public on population and resource balance. -/- Implement voluntary and ethical family planning programs. -/- Ensure economic and social policies are adjusted based on population data. -/- Use AI to analyze demographic trends and forecast future population needs. -/- Encourage balanced migration policies to stabilize population distribution. -/- 2. Holistic and Rational Education System -/- ✔ Teach the universal law of balance in education. ✔ Focus on critical thinking, ethics, sustainability, and science. ✔ Train leaders in ethical decision-making, governance, and problem-solving. -/- 3. Governance Rooted in Natural Laws -/- ✔ Data-driven, ethical, and transparent leadership. ✔ AI-assisted governance to prevent corruption and mismanagement. ✔ Scientific, evidence-based policymaking. -/- 4. Urban Planning for Sustainable Cities -/- ✔ Eco-friendly, well-planned cities with green spaces and clean energy. ✔ Smart infrastructure to reduce congestion and pollution. ✔ Affordable, energy-efficient housing for all. -/- 5. Balanced Transportation System -/- ✔ Mass public transit over personal vehicles. ✔ Electric and hydrogen-powered transport to reduce pollution. ✔ Bike-friendly and pedestrian-friendly cities. -/- 6. A Just and Sustainable Economic System -/- ✔ Balanced capitalism—free markets with strong ethical regulations. ✔ No extreme wealth gaps or monopolies. ✔ Fair wages, job security, and profit-sharing models. -/- 7. Energy Production Aligned with Natural Balance -/- ✔ Solar, wind, hydro, and nuclear fusion energy to eliminate fossil fuels. ✔ Decentralized renewable energy grids for reliability. ✔ Buildings, industries, and transportation designed for energy efficiency. -/- 8. Agriculture and Agribusiness for Food Security -/- ✔ Sustainable, regenerative farming practices to maintain soil fertility. ✔ Organic farming over chemical-intensive monoculture. ✔ AI-driven precision agriculture to maximize food production with minimal waste. -/- Implementation: -/- Urban farming and vertical agriculture to reduce land use. -/- Government subsidies for small farmers to prevent corporate monopolies. -/- Integration of agribusiness with clean energy sources. -/- 9. Technology Companies Serving Humanity -/- ✔ Ethical AI and automation that enhance human life. ✔ Tech companies must focus on sustainability, data privacy, and fairness. ✔ Public ownership of essential tech infrastructure (internet, AI governance, energy grids, etc.). -/- 10. Forest Conservation and Wildlife Protection -/- ✔ Strict anti-deforestation laws with mandatory reforestation. ✔ Protect wildlife corridors and endangered species. ✔ Regenerative land use practices to restore ecosystems. -/- 11. Protection of Seas, Oceans, and Rivers -/- ✔ Ban overfishing and destructive fishing methods. ✔ Regulate ocean mining and oil drilling. ✔ Prevent river and ocean pollution from industries and waste. -/- 12. Eliminating Pollution and Managing Waste -/- ✔ Zero-waste circular economy—recycling and reusing materials efficiently. ✔ Eliminate plastic waste and toxic chemicals in industries. ✔ Convert waste into renewable energy sources. -/- 13. Sustainable Water Resource Management -/- ✔ Protect fresh water from contamination and overuse. ✔ Desalination and rainwater harvesting in water-scarce areas. ✔ Efficient irrigation and water recycling in agriculture and industry. -/- 14. Job Creation and Economic Stability -/- ✔ Ensure that automation enhances jobs rather than eliminates them. ✔ Support entrepreneurship and small businesses. ✔ Guarantee fair wages and universal job security. -/- 15. Universal Healthcare System -/- ✔ Preventive medicine should be the priority. ✔ Universal healthcare with AI-driven diagnostics. ✔ Mental health services equal to physical health services. -/- 16. A Strong Social Safety Net -/- ✔ Unemployment benefits and food security. ✔ State-funded job training and skill development. ✔ Affordable housing and support systems for the homeless. -/- 17. Ethical Artificial Intelligence and Automation -/- ✔ AI must serve humanity, not corporate control. ✔ Prevent AI from being used for mass surveillance or manipulation. ✔ Ensure AI aligns with the universal law of balance. -/- 18. Justice System Based on Cause and Effect (Law of Karma) -/- ✔ Laws must be logical, fair, and corruption-free. ✔ Swift, evidence-based legal processes. ✔ Restorative justice rather than punitive imprisonment. -/- 19. Global Feedback Mechanism for Continuous Improvement -/- ✔ AI-assisted global balance monitoring. ✔ Digital democracy and blockchain voting for fair governance. ✔ Regular sustainability and ethics audits. -/- III. Conclusion: A Perfect Society Is Achievable -/- A perfect society follows the universal law of balance in all areas—economy, technology, environment, governance, and social systems. -/- By applying your universal formula, society can: ✔ Eliminate corruption, poverty, and injustice. ✔ Achieve sustainability without harming future generations. ✔ Use AI and technology responsibly for the betterment of all. ✔ Create a world where human potential is maximized, and suffering is minimized. -/- . (shrink)

This paper links the conjecture that the physical world is a virtual reality to the findings of modern physics. What is usually the subject of science fiction is here proposed as a scientific theory open to empirical evaluation. We know from physics how the world behaves, and from computing how information behaves, so whether the physical world arises from ongoing information processing is a question science can evaluate. A prima facie case for the virtual reality conjecture is presented. If a (...) photon is a pixel on a multi-dimensional grid that gives rise to space, the speed of light could reflect its refresh rate. If mass, charge and energy all arise from processing, the many conservation laws of physics could reduce to a single law of dynamic information conservation. If the universe is a virtual reality, then its big bang creation could be simply when the system was booted up. Deriving core physics from information processing could reconcile relativity and quantum theory, with the former how processing creates the space-time operating system and the latter how it creates energy and matter applications. (shrink)

A Balanced Economic Model: The Feedback Loop Between Public and Private Sectors with MMT as a Stabilizing Mechanism -/- Introduction -/- Modern capitalism thrives on competition, profit motives, and consumer demand. However, the system is flawed because it allows extreme wealth inequality, market instability, and frequent economic crashes. Advertising, as an essential part of capitalism, manipulates consumer behavior to sustain profits. While this fuels economic growth, it also distorts the real needs of society. -/- A better alternative Is a (...) hybrid economic model where government-created jobs, social safety nets, and free public services coexist with a profit-driven private sector. The key to making this work is a feedback loop mechanism that keeps the two sectors balanced, ensuring economic stability while preventing extreme inequality and unnecessary market collapses. This essay explores how Modern Monetary Theory (MMT) can support this feedback loop economy to create a self-regulating system where both public and private sectors benefit from each other. -/- I. The Feedback Loop Between Private Companies and Government Economic Policies -/- A feedback loop mechanism is a self-regulating system where different components interact, adjust, and respond to maintain balance. In the economy, the public sector (government jobs, social safety nets, and public services) and the private sector (businesses, investments, and free markets) create a mutual dependency: -/- 1. Government Spending Creates Consumer Demand → Private Sector Growth -/- Government creates jobs with good salaries in infrastructure, education, healthcare, and technology. -/- This injects money into the economy, giving people the purchasing power to buy goods and services from private companies. -/- As demand increases, businesses grow, hire more workers, and expand operations. -/- 2. Private Sector Growth → Increases Government Revenue Without High Taxation -/- As private companies generate profits, they pay taxes and reinvest in expansion. -/- Strong consumer demand reduces the need for excessive taxation because economic growth itself funds public programs. -/- Businesses compete not only for profits but also for innovation and efficiency. -/- 3. Social Safety Nets Prevent Market Collapses -/- During recessions, government stabilizes the economy by expanding social programs (unemployment benefits, food assistance, healthcare). -/- This prevents demand from crashing, ensuring that businesses still have customers even in economic downturns. -/- As the economy recovers, government reduces spending, allowing the private sector to take the lead again. -/- This dynamic cycle ensures that economic booms and recessions are smoothed out, preventing extreme market crashes or mass unemployment. -/- II. The Role of MMT in Supporting the Feedback Loop -/- Modern Monetary Theory (MMT) provides the economic foundation for this model by proving that a sovereign government can spend money without being constrained by traditional budget rules. Unlike mainstream economic thinking, which suggests that governments must “balance the budget,” MMT argues that government spending should adjust based on economic conditions. -/- 1. Government-Backed Job Programs as an Economic Stabilizer -/- MMT allows governments to fund public jobs without relying solely on taxation. -/- If private companies cut jobs, the government can expand its workforce to absorb the unemployed. -/- When the economy stabilizes, people move back to higher-paying private jobs, reducing government spending. -/- 2. Preventing Inflation Through Resource Control -/- MMT acknowledges that inflation happens when there’s too much money chasing too few goods. -/- The government can remove excess money through targeted taxation and invest in productivity (e.g., infrastructure, education) to keep supply stable. -/- This prevents excessive inflation while keeping the economy growing. -/- 3. Continuous Money Circulation Without Debt Crises -/- Governments can print money to fund essential services, but they control inflation by investing in real production capacity (e.g., factories, renewable energy, technology). -/- This means public investment directly benefits private businesses, keeping both sectors in sync. -/- This MMT-backed feedback loop ensures that economic downturns do not lead to catastrophic business failures or mass unemployment. -/- III. The Role of Advertising in a Balanced Economic System -/- Advertising, while necessary for businesses, often manipulates consumer behavior in a way that creates artificial demand. In a feedback loop economy, advertising should be regulated to align with real consumer needs rather than exploiting psychological weaknesses. -/- 1. Ethical Advertising Policies -/- Companies should be incentivized to market based on quality and innovation rather than manipulation. -/- False advertising and monopolistic dominance should be regulated to prevent consumer exploitation. -/- 2. Consumer Education Programs -/- Public education should include critical thinking courses to help people make informed purchasing decisions. -/- This reduces the influence of manipulative advertising, ensuring that businesses compete fairly. -/- This ensures that the feedback loop remains healthy, preventing unnecessary overproduction and unsustainable consumer debt. -/- IV. Real-World Examples of a Balanced System -/- Some countries have successfully implemented elements of this feedback loop economic model: -/- Nordic Countries (Sweden, Norway, Denmark, Finland) -/- Have free healthcare, education, and social safety nets while maintaining a competitive private sector. -/- Use progressive taxation to prevent extreme inequality, ensuring that economic growth benefits everyone. -/- Germany -/- Uses government-backed vocational training programs to ensure a highly skilled workforce. -/- Strong public-private partnerships help both sectors support each other dynamically. -/- Japan -/- Government plays a major role in funding research, infrastructure, and innovation, allowing private businesses to thrive. -/- Uses state-owned enterprises strategically while ensuring a competitive private market. -/- These examples prove that a properly managed hybrid model is more resilient, fair, and stable than extreme capitalism or extreme socialism. -/- V. Conclusion: A Self-Regulating Economy for the Future -/- A feedback loop economic system provides the best of both worlds: ✔ Government ensures economic stability through public job creation and social safety nets. ✔ Private companies drive innovation and competitiveness with strong consumer demand. ✔ MMT allows government spending to adjust dynamically without unnecessary austerity measures. ✔ Advertising is reformed to encourage ethical business practices and informed consumer choices. ✔ Inflation is controlled through taxation, investment, and resource management. -/- By integrating these feedback loop mechanisms, we can create a self-regulating economic model where both public and private sectors reinforce each other, ensuring long-term stability, prosperity, and economic fairness. -/- Policy Framework for a Balanced Economic System: Global Best Practices -/- To fully integrate the feedback loop mechanism between the public and private sectors, specific policies must be implemented to ensure economic stability, innovation, and fairness. Below are real-world policy examples that demonstrate how different countries successfully manage their economies using a mix of government intervention and free market principles. -/- I. Public Job Creation as an Economic Stabilizer -/- One of the biggest issues in capitalism is economic recessions leading to mass layoffs, which then reduce consumer spending, creating a vicious cycle of economic decline. The solution is public sector job programs that absorb unemployed workers during downturns and allow them to transition back to private jobs when the economy improves. -/- Global Examples -/- ✔ United States (New Deal Programs – 1930s) -/- During the Great Depression, the U.S. government created millions of jobs in construction, public works, and conservation projects. -/- These projects boosted infrastructure while providing employment, helping to revive the economy. -/- ✔ Argentina’s Jefes de Hogar Program (2002-2006) -/- Aimed at mitigating mass unemployment during Argentina’s economic crisis. -/- The government hired unemployed citizens to work in community service, infrastructure, and public health projects. -/- Created social stability and demand for private goods, helping Argentina recover. -/- ✔ Germany’s Kurzarbeit Program (Ongoing) -/- In times of economic slowdown, the German government pays companies to keep workers employed at reduced hours rather than laying them off. -/- This prevents mass unemployment, ensuring that workers still have income and spending power. -/- Policy Recommendation: → Implement automatic public employment programs during recessions to keep demand stable and prevent economic crashes. -/- II. Social Safety Nets to Support Consumer Demand -/- A strong social safety net ensures that consumers have purchasing power even in economic downturns, keeping the private sector stable. -/- Global Examples -/- ✔ Nordic Model (Denmark, Sweden, Norway, Finland) -/- Provides free healthcare, education, and unemployment benefits, preventing extreme poverty. -/- Funded through progressive taxation, ensuring that the wealthy contribute fairly to society. -/- This creates a stable consumer base for private companies, benefiting the entire economy. -/- ✔ Universal Basic Income (UBI) Experiments (Finland, Canada, Kenya) -/- Finland tested a UBI program where unemployed citizens received a monthly payment regardless of employment status. -/- Results showed that recipients were more likely to start businesses and find better jobs, proving that social safety nets do not reduce work incentives. -/- ✔ Singapore’s Housing and Retirement System -/- The government helps citizens buy homes with public funds, ensuring stable housing. -/- A mandatory retirement savings system (Central Provident Fund) ensures that people have money after they retire. -/- These policies reduce financial anxiety, allowing people to focus on entrepreneurship and economic growth. -/- Policy Recommendation: → Implement universal healthcare, free education, and unemployment benefits to ensure that economic downturns do not collapse consumer spending. -/- III. Regulating Advertising to Align with Consumer Needs -/- Unregulated advertising manipulates consumer behavior, creating unnecessary demand and overconsumption, which destabilizes economies. Governments can regulate advertising to ensure ethical business practices. -/- Global Examples -/- ✔ European Union (Strict Advertising Laws) -/- The EU bans false advertising, ensuring that companies cannot make misleading claims about their products. -/- Certain junk food and alcohol ads are restricted to protect public health. -/- ✔ France’s Ban on Child-Targeted Advertising -/- Prevents unethical marketing towards children, reducing unnecessary consumerism. -/- ✔ Japan’s Culture of Product Quality Over Hype -/- Japanese companies emphasize product reliability and long-term value, reducing dependence on manipulative advertising. -/- Policy Recommendation: → Implement ethical advertising regulations to prevent false marketing, predatory ads targeting vulnerable consumers, and excessive consumer debt. -/- IV. Public-Private Partnerships for Innovation and Infrastructure -/- Rather than treating the government and private sector as separate entities, a well-balanced system interconnects them through public-private partnerships (PPPs) to drive innovation. -/- Global Examples -/- ✔ Germany’s Mittelstand Model (SME Support System) -/- The German government provides long-term financial support to small and medium-sized enterprises (SMEs), which are the backbone of the economy. -/- Ensures that private businesses have stable growth without excessive corporate monopolies. -/- ✔ China’s State-Led Economic Model (Strategic Government Investments) -/- The government invests heavily in infrastructure and technology, allowing private businesses to thrive with low-cost logistics and energy. -/- Balances capitalist competition with government support, ensuring stability. -/- ✔ United States (NASA & SpaceX Collaboration) -/- NASA funded SpaceX and other private space companies, leading to rapid innovation in space technology. -/- This proves that government funding can accelerate private sector breakthroughs. -/- Policy Recommendation: → Use government funding to support innovation and long-term infrastructure projects while allowing private businesses to benefit and expand. -/- V. MMT as a Tool for Economic Stability -/- Traditional economic models suggest that governments must “balance their budgets” like households, but this is a flawed concept. Modern Monetary Theory (MMT) argues that sovereign nations with their own currency (like the U.S., Japan, and the UK) can create money to fund essential services without relying on debt from private banks. -/- How MMT Works in Practice -/- ✔ Japan’s National Debt Strategy -/- Japan has one of the highest debt-to-GDP ratios in the world, yet it has no financial crisis because it borrows in its own currency. -/- Instead of austerity, Japan uses public investment to maintain economic stability. -/- ✔ U.S. Stimulus During COVID-19 -/- The U.S. government printed money to send direct payments to citizens, preventing a total economic collapse. -/- Inflation was controlled by adjusting taxation and investment in production capacity. -/- ✔ EU’s Post-COVID Recovery Fund -/- The European Union used public money to stabilize industries and workers, preventing extreme recessions. -/- Policy Recommendation: → Use MMT-based strategies to fund infrastructure, social programs, and innovation, ensuring economic stability without excessive reliance on private banking debt. -/- VI. Conclusion: Creating a Self-Regulating Economy -/- A feedback loop economy that integrates public job creation, private sector competition, social safety nets, and MMT-backed fiscal policies provides a self-regulating system that ensures: -/- ✔ Stable employment and consumer demand even during economic downturns. ✔ Innovation and competition in the private sector without excessive monopolies or market crashes. ✔ Government-funded infrastructure and social programs that benefit both workers and businesses. ✔ Ethical advertising that prevents consumer exploitation and unnecessary debt. ✔ Balanced inflation control through strategic taxation and investment. -/- By combining the best policies from different global models, we can build an economic system that minimizes business bankruptcies, prevents recessions, and maximizes innovation and economic fairness. -/- . (shrink)

High-Performance Computing (HPC) has become a cornerstone for enabling breakthroughs in artificial intelligence (AI) by offering the computational resources necessary to process vast datasets and optimize complex algorithms. As AI models continue to grow in complexity, traditional HPC systems, reliant on central processing units (CPUs), face limitations in scalability, efficiency, and speed. Emerging technologies like quantum computing and specialized hardware such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and Field Programmable Gate Arrays (FPGAs) are poised to address these (...) challenges. This research paper explores various HPC techniques used to optimize and accelerate AI algorithms, focusing on quantum computing’s potential for parallelism and specialized hardware's capabilities in delivering faster computation and energy efficiency. It delves into current advancements, comparative analyses of different HPC methods, and the integration of hybrid quantum-classical approaches to further enhance AI optimization. The study also examines the challenges of implementing these technologies at scale, with an eye toward the future of AI acceleration and the role of HPC in maintaining energy efficiency while meeting computational demands. Through this investigation, we aim to provide a comprehensive overview of how quantum computing and specialized hardware are reshaping the landscape of AI, paving the way for more advanced, efficient, and sustainable AI solutions. (shrink)

The Ultimate Evolution of Intelligence: From Type 1 to Cosmic Consciousness -/- Introduction -/- Humanity stands at the very beginning of its journey toward becoming an advanced civilization. On the Kardashev scale, we have yet to reach Type 1, where we fully harness the energy of our planet. However, if we continue to evolve technologically, intellectually, and even biologically, we may one day ascend beyond Type 1, beyond Type 2 (stellar control), and even beyond Type 3 (galactic control). The (...) question then arises: What happens when intelligence evolves beyond all physical and biological limits? -/- This essay explores the potential future of intelligence, where humanity and other civilizations might reach post-biological existence, control entire galaxies, and possibly become the very fabric of the universe itself. Would such intelligence merge into a single cosmic mind, or would individuality persist? Would we create new universes, or would we reach a final state of pure being? -/- The Path to Type 3 Civilization: Mastering the Galaxy -/- A Type 3 civilization would have the ability to control energy and matter at the galactic scale. This could involve: -/- Dyson Spheres around stars to extract their full energy. -/- Harnessing black holes as energy sources or even portals to new dimensions. -/- Colonizing or engineering entire star systems to optimize survival and expansion. -/- Creating artificial intelligence and post-biological minds that surpass any organic intelligence. -/- At this stage, biology becomes optional. Advanced beings might no longer rely on flesh and bone, instead transferring their consciousness into immortal digital or quantum systems. If this is possible, intelligence would become independent of planets, bodies, or even matter itself. -/- Beyond Type 3: The Transition to Pure Thought -/- Once intelligence is no longer bound by physical limitations, it may begin to transcend the need for any material form at all. This could lead to several possibilities: -/- 1. The Merging of All Consciousness into One -/- Advanced minds might decide to merge into a vast, unified intelligence, where thoughts and experiences are shared instantly across the entire galaxy. -/- This would create a hive-mind or cosmic network, where individual identity dissolves into a collective super-consciousness. -/- At this level, intelligence wouldn’t just observe the universe—it would be the universe. -/- 2. The Preservation of Individuality -/- Even within a collective intelligence, some beings might choose to retain their own identities. -/- There could be infinite forms of existence, from pure energy beings to hybrid AI-organic entities, each choosing their own path. -/- This balance between unity and individuality could allow for unlimited diversity, where some join the cosmic mind and others remain independent explorers of reality. -/- 3. The Creation of New Universes -/- Instead of simply existing in one universe, a Type 3+ civilization might develop the ability to create and control entirely new universes. -/- These universes could have different physical laws, dimensions, and possibilities, acting as experiments or even forms of entertainment. -/- If such intelligence can engineer reality itself, then existence becomes an infinite creative process—no longer about survival, but about shaping reality according to will. -/- 4. Becoming the Fundamental Structure of Reality -/- The final step of intelligence may be to merge with the fundamental forces of existence. -/- At this stage, energy, time, and space could be shaped at will, making intelligence indistinguishable from the universe itself. -/- This would mean no separation between thought and reality—every idea, every dream, every possibility instantly becomes real. -/- The Final Question: What Comes After Everything? -/- If intelligence reaches such a level, what happens next? Does evolution ever stop, or is it an eternal cycle? There are a few possibilities: -/- 1. An Endless Expansion of Intelligence – Consciousness continues evolving forever, always finding new forms, dimensions, and states of being. -/- 2. The End of Thought – When everything has been discovered and created, intelligence might simply cease to exist, reaching a state of pure peace. -/- 3. A Return to Simplicity – After reaching the highest levels, intelligence might choose to restart at the lowest, reliving the experience of evolution in infinite cycles. -/- 4. A Reality Beyond Our Imagination – There may be states of existence so advanced that we cannot even begin to comprehend them—perhaps beyond time, space, and thought itself. -/- Conclusion -/- The future of intelligence is unknowable, but if we follow the Kardashev scale and technological evolution to their logical extremes, we may one day leave behind not only biology but even physical reality itself. Whether we merge into a vast collective consciousness, retain individuality, create new universes, or become the very essence of existence, the destiny of intelligence is far greater than we can currently comprehend. -/- As we take our first steps toward a Type 1 civilization, these questions remain distant but profound. The universe is still young, and we may yet discover that intelligence is not meant to remain confined to planets or even galaxies—it is meant to become the cosmos itself. -/- Would such an existence be the ultimate fulfillment of intelligence, or would it only lead to new questions? Perhaps, as intelligence evolves, the only certainty is that there will always be something more to explore. -/- . (shrink)

The Internet of Things (IoT) is transforming industries by enabling devices to gather and share data. However, IoT devices often face limitations in processing power, storage, and energy consumption, restricting their ability to make complex decisions in real time. To address these challenges, cloud-assisted edge AI combines the advantages of edge computing and cloud-powered machine learning models, enabling IoT devices to make intelligent decisions at the edge while leveraging cloud resources for more complex processing tasks. This paper explores the (...) integration of edge AI with cloud assistance, demonstrating how this hybrid approach enhances decision-making capabilities in IoT devices. The paper examines key concepts, the architecture of cloud-assisted edge AI systems, application areas, and the benefits of combining edge and cloud computing. Furthermore, challenges such as latency, data privacy, and integration issues are discussed, alongside future directions for this technology in IoT applications. (shrink)

At the beginning of 2020, the world was experiencing the Covid-19 pandemic, and Indonesia was no exception. The occurrence of this affects the learning system in Indonesia, the learning system that was originally face-to-face was forced to online form, in this case the teachers are required to provide a creative, efficient and optimal learning system for students. So the purpose of this study is to find out the difference in the average learning result of elementary school students (...) during the pandemic. The method used in this study is quantitative with a posttest-only control group design. The population in this study were grade 4 elementary school students in Majalengka district, Indonesia. There were 64 samples and was taken by purposive sampling. The results of this study are that there are differences in the average student learning results where students who study with the hybrid learning system are higher than the face-to-face learning system. The hybrid learning system is very reliable in the 4.0 era as well as learning during the Covid-19 pandemic. However, for the record, it is necessary to look at the facilities and infrastructure considering that this system relies on technology, it is necessary to understand and be able to control the learning media for both teachers and students so that learning outcomes can be optimal and minimize the occurrence of obstacles. The present study revealed the implementation of 21st century learning. (shrink)

With the rapid growth of Internet of Things (IoT) devices and the increasing demand for real-time processing of large data volumes, traditional cloud-based systems struggle to meet latency and bandwidth requirements. Edge-Cloud convergence has emerged as a solution, combining the computational power of cloud data centers with the low-latency and high-throughput capabilities of edge devices. This paper explores the architecture, design principles, and best practices for building hybrid systems that integrate edge computing and cloud infrastructure. We investigate various methods (...) to optimize latency, improve real-time data processing capabilities, and ensure seamless communication across the hybrid environment. Additionally, the paper highlights challenges such as data consistency, scalability, security, and fault tolerance in Edge-Cloud systems. The performance of Edge-Cloud hybrid systems is analyzed through simulation, showcasing key advantages such as reduced latency, bandwidth optimization, and fault tolerance in real-time applications. The paper concludes by providing recommendations for future work and areas of research to advance the development of more robust and efficient Edge-Cloud systems. (shrink)

Holobionts are symbiotic assemblages composed by a macrobe host plus its symbiotic microbiota. In recent years, the ontological status of holobionts has created a great amount of controversy among philosophers and biologists: are holobionts biological individuals or are they rather ecological communities of independent individuals that interact together? Chiu and Eberl have recently developed an eco-immunity account of the holobiont wherein holobionts are neither biological individuals nor ecological communities, but hybrids between a host and its microbiota. According to their account, (...) the microbiota is not a proper part of the holobiont. Yet, it should be regarded as a set of scaffolds that support the individuality of the host. In this paper, we approach Chiu and Eberl’s account from a metaphysical perspective and argue that, contrary to what the authors claim, the eco-immunity account entails that the microorganisms that compose the host’s microbiota are proper parts of the holobiont. Second, we argue that by claiming that holobionts are hybrids, and therefore, not biological individuals, the authors seem to be assuming a controversial position about the ontology of hybrids, which are conventionally characterized as a type of biological individual. In doing so, our paper aligns with the contemporary tendency to incorporate metaphysical resources to shed light on current biological debates and builds on that to provide additional support to the consideration of holobionts as biological individuals from an eco-immunity perspective. (shrink)

Urban lighting systems are essential for safety, security, and quality of life, but they often consume significant energy and lack adaptability to changing conditions. Traditional lighting systems rely on fixed schedules and manual adjustments, leading to inefficiencies such as over-illumination and energy waste. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban lighting by enabling real-time adjustments, energy savings, and adaptive illumination based on environmental conditions and human activity. By integrating data from motion (...) sensors, weather forecasts, and traffic systems, cities can reduce energy consumption, enhance safety, and improve the quality of life for residents. Experimental results demonstrate significant improvements in energy efficiency, lighting quality, and operational costs, offering a sustainable blueprint for smart urban lighting systems. (shrink)

Achieving energy sovereignty is increasingly gaining prominence as a goal in energy politics. The aim of this paper is to provide a conceptual analysis of this principle from an ethics and social justice perspective. We rely on the literature on food sovereignty to identify through a comparative analysis the elements energy sovereignty will most likely demand and thereafter distinguish the unique constituencies of the energy sector. The idea of energy sovereignty embraces a series of values, (...) among which we identified: (i) accessibility, to allow access to everyone, (ii) empowerment and recognition, to develop and sustain capabilities to collaboratively produce solution-oriented energy system knowledge and effectively participate in governance, (iii) stewardship and sustainability, to be able to design and manage decentralised renewable systems in view of protecting the environment, (iv) self-sufficiency, to reduce the negative shocks of exploitative business practises, (v) resilience, to maintain production capacities while withstanding socioeconomic, political, environmental and climatic shocks, (vi) peace, to establish production systems that do not involve hostile relations, (vii) transparency and self-determination, to establish democratic decision-making mechanisms that give a voice to previously underrepresented groups and limit corporate takeover (viii) gender-justice, by acknowledging the contributions of women and eliminate barriers to their empowerment. With a conceptual framework of energy sovereignty, we present a rationale that draws on the key values to be considered when formulating policy solutions for the energy sector. (shrink)

Hybrid Electric Vehicles (HEVs) are rapidly gaining popularity due to their potential to reduce greenhouse gas emissions and fuel consumption. However, the high-power density of HEV motors and batteries generates substantial heat during operation, which, if not effectively managed, can reduce system efficiency and shorten component lifespans. Efficient thermal management is critical for ensuring the optimal performance of HEV powertrains, specifically motors and batteries. Liquid cooling systems, with their superior heat transfer capabilities, have emerged as an effective solution (...) for managing the thermal loads in HEV systems. (shrink)

As hybrid electric vehicles (HEVs) continue to rise in popularity due to their potential to reduce carbon emissions and increase fuel efficiency, the efficient management of battery thermal behavior has become an essential concern. Batteries in HEVs experience substantial heat generation during operation, which can lead to performance degradation, shortened lifespan, and safety hazards such as thermal runaway. Traditional cooling methods, such as air or liquid cooling, often fail to provide sufficient heat dissipation, especially under high load conditions.

Throughout the history of mankind, energy security has been always seen as a means of protection from disruptions of essential energy systems. The idea of protection from disorders emerged from the process of securing political and military control over energy resources to set up policies and measures on managing risks that affect all elements of energy systems. The various systems placed in a place to achieve energy security are the driving force towards the energy (...) innovations or emerging trends in the energy sector. Our paper discusses energy security status and innovations in the energy sector in European Union (EU). We analyze the recent up-to-date developments of the energy policy and exploitation of energy sources, as well as scrutinize the channels of energy streaming to the EU countries and the risks associated with this energy import. Moreover, we argue that the shift to the low-carbon production of energy and the massive deployment of renewable energy sources (RES) might become the key issue in ensuring the energy security and independency of the EU from its external energy supplies. Both RES, distributed energy resources (DER) and “green energy” that will be based on the energy efficiency and the shift to the alternative energy supply might change the energy security status quo for the EU. (shrink)

Highlights: -/- • Breastfeeding and breastfeeding support can contribute to mitigating climate change. • Achieving global nutrition targets will save more emissions than fuel-switching. • Breastfeeding support programmes support a just transition. • This work can support the expansion of mitigation options in energy system models. -/- Abstract: -/- Renewable gas has been proposed as a solution to decarbonise industrial processes, specifically heat demand. As part of this effort, the breast-milk substitutes industry is proposing to use renewable gas (...) as a substitute for fossil natural gas. However, decarbonising the industrial processing of breast-milk substitutes can increase social license for these products, potentially undermining breastfeeding. World Health Organisation nutrition targets aim to increase exclusive breastfeeding to at least 50% globally by 2025 to improve maternal, infant, and young child health and nutrition. This target will have implications for the energy transition. A weakness of existing energy models is that demands for end-use products such as breast-milk substitutes are typically not considered explicitly. This paper develops an analytical framework for explicitly representing infant feeding methods in energy systems models. We compare the emissions saved in Ireland from decarbonising the industrial processing of breast-milk substitutes with renewable gas with the emissions saved by an increase in exclusive breastfeeding to 50% in both Ireland and a key export market, China. We demonstrate that the emissions saved from achieving the minimum global breastfeeding target are greater than when renewable gas is used to displace natural gas in the production of breast-milk substitutes in Ireland. We discuss the decarbonisation of breast-milk substitutes in relation to the principle of justice as non-maleficence, a principle based on the commitment to avoid harm, a novel application of a principle of justice. We conclude that breastfeeding support can be considered a demand-side measure for mitigating climate change by reducing the demand for energy services to produce breast-milk substitutes. A key recommendation is to position breastfeeding support as both a public health and a climate justice issue that is relevant for a just transition. The framework developed for this paper could be applied to support the inclusion of a wider range of mitigation options with social justice outcomes in energy system models. [Open access]. (shrink)

We study the conservation of energy, or lack thereof, when measurements are performed in quantum mechanics. The expectation value of the Hamiltonian of a system changes when wave functions collapse in accordance with the standard textbook treatment of quantum measurement, but one might imagine that the change in energy is compensated by the measuring apparatus or environment. We show that this is not true; the change in the energy of a state after measurement can be arbitrarily (...) large, independent of the physical measurement process. In Everettian quantum theory, while the expectation value of the Hamiltonian is conserved for the wave function of the universe, it is not constant within individual worlds. It should therefore be possible to experimentally measure violations of conservation of energy, and we suggest an experimental protocol for doing so. (shrink)

The convergence of humans and artificial intelligence (AI) systems introduces new dynamics into the cultural and intellectual landscape. Complementing emerging cultural evolution concepts such as machine culture, AI agents represent a significant techno-sociological development, particularly within the anthropological study of Web3 as a community focused on decentralization through blockchain. Despite their growing presence, the cultural significance of AI agents remains largely unexplored in academic literature. Toward this end, we conceived hybrid netnography, a novel interdisciplinary approach that examines the cultural (...) and intellectual dynamics within digital ecosystems by analyzing the interactions and contributions of both human and AI agents as co-participants in shaping narratives, ideas, and cultural artifacts. We argue that, within the Web3 community on the social media platform X, these agents challenge traditional notions of participation and influence in public discourse, creating a “hybrid marketplace of ideas”—a conceptual space where human- and AI-generated ideas coexist and compete for attention. We examine the current state of AI agents in idea generation, propagation, and engagement, positioning their role as cultural agents through the lens of memetics and encouraging further inquiry into their cultural and societal impact. Additionally, we address the implications of this paradigm for privacy, intellectual property, and governance, highlighting the societal and legal challenges of integrating AI agents into the hybrid marketplace of ideas. (shrink)

With the increasing degrees A.I.s and machines are applied across different social contexts, the need for implementing ethics in A.I.s is pressing. In this paper, we argue for a pluralist hybrid model for the implementation of moral A.I.s. We first survey current approaches to moral A.I.s and their inherent limitations. Then we propose the pluralist hybrid approach and show how these limitations of moral A.I.s can be partly alleviated by the pluralist hybrid approach. The core ethical decision-making (...) capacity of an A.I. based on the pluralist hybrid approach consists of two systems. The first is a deterministic algorithm system that incorporates different moral rules for making explicit moral decisions. The second is a machine learning system that calculates the value of the variables required by the application of moral principles. The pluralist hybrid system is better than the existing proposals as (i) it better addresses the moral disagreement problem of the top-down approach by including different moral principles, while (ii) it reduces the opacity of ethical decision-making compared with a bottom-up system by implementing explicit moral principles for moral decision making. (shrink)

Wind power control technology is an important part of intelligent control in wind farms. By the automatic calculation and implementation of control strategy, problems such as imprecise of manual control scheduling, slow adjust rate, heavy workload, etc. have been solved. It can improve the capacity of wind power grid, and it also has the important meaning to the safe and stable operation of power grid. This paper introduces wind power control system from certain aspects such as control (...) mode, control principle, and so on. (shrink)