. In this article, we propose an innovative method that utilizes AI for the real-time detection of humans and automatically triggers an alarm using the latest object detection methods based on algorithms such as YOLO (You Only Look Once). The key goal of the system is to facilitate rescue operations, enhance security surveillance, and minimize the turnaround time for any emergency actions. This allows, for example, the placement of such a system in a live video stream, and (...) the person will be located in another area of the feed and an alarm triggered. This paper concentrates on the development of the system from its conception to its testing and its roadmap for future growth to ensure that its performance is guaranteed in real-life situations. (shrink)

Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms.

This paper shows the smart walking stick based on ultrasonic sensors and Arduino for outwardly debilitated individuals. There are roughly 37 million individuals over the globe who are visually impaired as indicated by the World Health Organization. Individuals with visual inabilities are regularly subjected to outer help which can be given by people, trained dogs, or electronic gadgets as supportive networks for basic assistance. Thus, this played as the motivation to develop a smart cane white stick to survive these restrictions (...) which includes ultrasonic sensors at particular positions to the stick that gave data about nature to the client by initiating the signal sound and vibrations. We proposed minimal effort and light weight framework structured with micro controller that processes signal and alerts the visually impaired person over any obstacle, water or dark areas through beeping sounds or vibrations. The system comprises of obstacle and moisture detection sensors for process of receiving, processing and sending signals to the alarm system which finally alerts the user for prompt action. The system was designed, programmed using Java language and tried for exactness by the visually impaired. Our gadget can recognize obstacle inside the separation of around 2m from the client. (shrink)

The current increase of air pollution rates and its consequences of global warming, health problems and threats to human lives necessitate the continuous search for more efficient and cost effective gas monitoring devices. Devices that is easily available and implementable worldwide. In developing countries the cost and the availability of the equipment is one of the obstacles that contribute to not having an efficient monitoring system. Hence, modifying cheap and easily available devices to work as pollution monitoring system (...) will be an asset in this direction. In this work I am presenting the design of a computer based pollution detection and measuring system using cheap CO (Carbon Monoxide) alarms used in homes. The outcome is a cost-effective computer based CO monitoring system that is easily available and could be easily modified to work as a network based CO nose. A C# based program is also designed to show and log the sensor readings in an easy to use and read Window. (shrink)

This research work presents a cost-effective facial recognition alert system using the ESP32 microcontroller to enhance real-time security. The system integrates high-resolution cameras with Python’s facial recognition libraries to identify individuals. When an unknown face is detected, it triggers an immediate alert via the ESP32, activating an alarm. This solution is both scalable and affordable, making advanced security accessible to small businesses and residential areas. The system improves overall security by automating surveillance, reducing the need for (...) manual monitoring. (shrink)

Nowadays, intrusions have become a major problem faced by users. To stop these cyber attacks from happening, the development of a reliable and effective Intrusion Detection System (IDS) for cyber security has become an urgent issue to be solved. The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train (...) and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD Cup 99) dataset has been used to train and validate. For validation, comparison for 2 dataset (CICIDS2017 and KDD Cup 99) is done. Then, to implement the Deep learning algorithms is proposed. Method Classification using SVM algorithm Model predict is done. Testing dataset for anomaly detection model classified as attack or normal. Finally, the experimental results shows that the performance metrics such as accuracy, precision, recall and confusion matrix. (shrink)

Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real world objects (things) through the Internet [1]. When it comes to our house, this concept can be aptly incorporated to make it smarter, safer and automated. This IoT project focuses on building a smart wireless home security system which sends alerts to the owner by using Internet in case of any trespass and raises an alarm optionally. Besides, the same can also be utilized for home (...) automation by making use of the same set of sensors. The leverage obtained by preferring this system over the similar kinds of existing systems is that the alerts and the status sent by the Wi-Fi connected microcontroller managed system can be received by the user on his phone from any distance irrespective of whether his mobile phone is connected to the internet. The microcontrolleri used in the current prototype is the TI-CC3200 Launchpad board which comes with an embedded micro-controller and an onboard Wi- Fi shield making use of which all the electrical appliances inside the home can be controlled and managed. (shrink)

Abstract—Generator set (genset) is a backup power supply which is used when the PLN supply is off. With such an important function, the generator set maintenance must be taken care of for long life durability. Monitoring activity is usually conducted on a regular basis, but still run manually by relying on operators who go directly to the plant. This research goes over the making of HMI remote control system for generator set in order to produce effective and continuous reporting. (...) HMI is designed by Microsoft Visual Studio 2012 software with C # programming language. The data communication used is serial asynchronous wireless communication using 3DR Telemetry 433MHz. The prototype generator set uses an Atmega16 microcontroller which is programmed by CodeVision AVR 2.05.3. Daily data storage and reports use Microsoft Excel. Based on the tests performed, it can be concluded that the HMI system works well. The HMI monitoring system can accurately monitor the plant on fuel percentage and data difference of 1 celcius degree at temperature. The alarm test works well. The farthest test resulted was 84.6 meters. In testing data storage and daily reports all the required information can be stored properly. (shrink)

Snake encountersin human-populated and wildlife areas pose significant threats to public safety and biodiversity. Each year, many incidents result in snakebites, often leading to serious injuries or fatalities, and frequently result in harm to snakes due to fear-driven responses. Traditional methods forsnake detection, such as visual observation, are typically slow and can lead to delayed or inaccurate responses, increasing the risks associated with human-snake encounters. This study presents a Real-Time Snake Detection and Alert System that employs advanced artificial intelligence (...) (AI) and machine learning (ML) techniques, specifically using YOLO (You Only Look Once), to accurately identify the presence ofsnakes in pre-recorded videos or static images. Oursystem processes these visual inputs to determine if a snake is present, providing an immediate, automated alarm to alert individuals nearby if a snake is detected. This system isintended to be a rapid-response solution for detecting snakesin images or video files, enhancing safety in snake-prone areas by increasing awareness of potential threats without requiring constant live monitoring or additional notifications to authorities. (shrink)

Cloud computing has transformed data management by providing scalable and on-demand services, but its open and shared infrastructure makes it highly vulnerable to sophisticated cyber threats. Traditional Intrusion Detection Systems (IDS) struggle with dynamic and large-scale cloud environments due to high false positives, limited adaptability, and computational overhead. To address these challenges, this paper proposes an AI-driven Intrusion Detection System (AI-IDS) that leverages deep learning models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, to analyze network (...) traffic, detect anomalies, and identify advanced cyber threats with high accuracy. Unlike rule-based IDS, which rely on static signatures, our model continuously learns from real-time data, improving detection rates while reducing false alarms. The proposed AI-IDS is optimized for cloud infrastructure, ensuring low-latency threat detection, minimal computational burden, and real-time adaptability to emerging attack patterns. Experimental validation on benchmark datasets demonstrates significant improvements in accuracy, precision, and scalability, making AI-powered IDS a crucial innovation in cloud security. (shrink)

Drowsiness is a manner wherein one degree of awareness is reduced due to lacking of sleep or exhaustion and it may cause the driver fall into sleep quietly. A Drowsy or sleepy driver is not able to determine while he/she can have an out of control sleep. Fall asleep crushes are very extreme in terms of injury. Recent statistics estimate that annually 1,200 deaths and 76,000 injuries can be caused to exhaustion or drowsiness related crashes. More than 25% of highway (...) traffic accidents are caused as result of driver exhaustion. Reduce the risk of an accident by warning the driver of his/her drowsiness. This project is mainly based on four components 1) Face and Eye detection: Performs scale invariant detection using Haar Cascade Classifier perform through a webcam. 2) Eye feature extraction: Eye features are extracted using Hough Circle and 3) Extract single eye 4) Edge detection and perform drowsiness detection on it. In the proposed method, following the face detection step, the facial components those are more important and considered as the most effective for drowsiness, are extracted and tracked in video sequence frames. The system has been tested and implemented in a real environment. The contribution work is when drowsiness detected, after it will give alarm warning signal to the driver. (shrink)

Cloud computing has transformed data management by providing scalable and on-demand services, but its open and shared infrastructure makes it highly vulnerable to sophisticated cyber threats. Traditional Intrusion Detection Systems (IDS) struggle with dynamic and large-scale cloud environments due to high false positives, limited adaptability, and computational overhead. To address these challenges, this paper proposes an AI-driven Intrusion Detection System (AI-IDS) that leverages deep learning models, including Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, to analyze network (...) traffic, detect anomalies, and identify advanced cyber threats with high accuracy. Unlike rule-based IDS, which rely on static signatures, our model continuously learns from real-time data, improving detection rates while reducing false alarms. The proposed AI-IDS is optimized for cloud infrastructure, ensuring low-latency threat detection, minimal computational burden, and real-time adaptability to emerging attack patterns. Experimental validation on benchmark datasets demonstrates significant improvements in accuracy, precision, and scalability, making AI-powered IDS a crucial innovation in cloud security. (shrink)

Abstract: Nowadays fresh water severe scarcity is a global concern and it is alarming for the future. In order to fully understand the progress of the water system and its impacts, a sustainability assessment of water resources is needed. This accelerates the achievement of sustainability and management of water resources. This work aims to assess the sustainability of the water resources system by applying the integration approach proposed by (Xu, 2011). This integration approach is based on integrating the (...) DPSIR-ANP method to the System Dynamics (SD) model, which is considered as a unique work in water resources management field. SD is a computer simulation model to understanding the behavior of complex systems over time, while Analytic Network Process (ANP) is a decision finding method used in model complex decision problems which contains feedback connections and loops. DPSIR is an analytical framework for describing the interactions between the economy, society and the environment. This integrated approach enables decision makers to view the sustainability problems of water resources system more comprehensively. The results showed that there is an increasing impact on the sustainability of water resources systems in Egypt over the research period. This is attributed to the increase in water resources consumption due to the increase in population, agriculture expansion and an increase in the value of GDP. So, the officials for managing water resources in Egypt should take actions to increase the efficiency of water use and increasing the renewable water resources for compensating water shortage. (shrink)

Activist artists often face a difficult question: is striving to change the world undermined when pursued through difficult and experimental artistic means? Looking closely at Adrian Piper's 'Four Intruders plus Alarm Systems' (1980), I will consider why this is an important concern for activist art, and assess three different responses in relation to Piper’s work. What I call the conciliatory stance recommends that when activist artists encounter misunderstanding, they should downplay their experimental artistry in favor of fitting their work (...) to their audience's appreciative capacities. What I call the steadfast stance recommends that activist artists have reason to use their privilege of artistic exceptionalism to challenge their audience's expectations, even if this leads to misunderstanding. I claim that a middle position that I call liberal conciliation best balances the demands for actual change placed on activism and the experimental means that artists bring to activism. (shrink)

The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD (...) Cup 99) dataset has been used to train and validate. For validation, comparison for 2 dataset (CICIDS2017 and KDD Cup 99) is done. Then, to implement the Deep learning algorithms is proposed. Method Classification using SVM algorithm Model predict is done. (shrink)

Nowadays, intrusions have become a major problem faced by users. To stop these cyber attacks from happening, the development of a reliable and effective Intrusion Detection System (IDS) for cyber security has become an urgent issue to be solved. The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train (...) and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD Cup 99) dataset has been used to train and validate. For validation, comparison for 2 dataset (CICIDS2017 and KDD Cup 99) is done. (shrink)

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

Some emotional representations seem to be unreliable. For instance, we are often afraid when there is no danger present. If emotions such as fear are so unreliable, what function do they have in our representational system? This is a problem for representationalist theories of emotion. I will argue that seemingly unreliable emotional representations are reliable after all. While many mental states strike an optimal balance between minimizing inaccurate representations and maximizing accurate representations, some emotional representations only aim at maximizing (...) accuracy. They detect important phenomena such as danger based on little evidence, which will lead to a lot of false alarms. When it matters, however, these emotional representations will detect danger and other important phenomena. Often, one is better scared (and wrong) than sorry. (shrink)

This paper explores the significance of intelligent social behavior among non-human animals for philosophical theories of communication. Using the alarm call system of vervet monkeys as a case study, I argue that interpersonal communication (or what I call “minded communication”) can and does take place in the absence of the production and recognition of communicative intentions. More generally, I argue that evolutionary theory provides good reasons for maintaining that minded communication is both temporally and explanatorily prior to the (...) use of communicative intentions. After developing these negative points about the place of communicative intentions in detail, I provide a novel alternative account according to which minded communication is characterized in terms of patterns of action and response that function to coordinate the representational mental states of agents. I show that an account which centers on patterns of representational coordination of this sort is well suited to capture the theoretical roles associated with minded communication and that it does so in a way that provides a good fit with comparative facts about the presence of minded communication among non-human animals. (shrink)

Sut Jhally begins his essay “Advertising at the Edge of the Apocalypse” with the following provocative claim: “Advertising is the most powerful and sustained system of propaganda in human history and its cumulative effects, unless quickly checked, will be responsible for destroying the world as we know it.” Jhally argues that the advertising industry, in fostering an association between human aspiration and desire for consumable goods, creates an artificial demand for such goods that is, at once, far in excess (...) of what is needed for human flourishing and catastrophic to the global environment. Jhally sees capitalism as the ultimate culprit. In a system in which wealth is defined as a “vast collection of commodities” (Marx, Capital), those who produce such commodities have no other choice but to promote excess consumption. Hence the advertising industry emerges as the propaganda arm of capitalism. My paper argues that, though Jhally’s analysis of the problem is both compelling and alarming, his diagnosis fails to reach its heart. Indeed, it is not Marx but Plato who provides us with the terms needed both to understand and respond to the problem Jhally cites. My paper provides a Platonic analysis of these issues and concludes with some suggestions as to how to address them. (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)

Overpopulation, Continuous Economic Growth, and the Unfeasibility of Supply-Side Economics -/- The concepts of overpopulation, continuous economic growth, and supply-side economics have been at the forefront of societal and economic discussions for decades. While these ideas may seem appealing in the short term, their long-term sustainability is questionable and ultimately self-destructive. Overpopulation and continuous economic growth both strain natural resources, disrupt ecological balances, and create unsustainable pressures on society. Furthermore, the idea that supply-side economics—the notion that reducing taxes and increasing (...) production can stimulate the economy—succeeds in isolation fails to account for the systemic imbalance it perpetuates. In this essay, we will explore why overpopulation and continuous economic growth are not sustainable and how the supply-side model is essentially the slave of the total demand side. -/- Overpopulation: A Growing Strain on Resources -/- Overpopulation is one of the most pressing challenges the world faces today. As the global population continues to rise, it increases demand for food, water, energy, and land—resources that are finite. The Earth’s carrying capacity is not infinite, and the strain on natural ecosystems is accelerating at an alarming rate. Forests are cleared for agricultural expansion, oceans are overfished, and landfills overflow with waste. These actions not only degrade the environment but also threaten biodiversity, which is critical to the survival of ecosystems and, ultimately, humanity itself. -/- In a world of limited resources, an ever-growing population leads to resource depletion, escalating inequality, and environmental destruction. When the demand for resources surpasses the ability of the environment to regenerate, societies face increasing competition for these resources, which can lead to conflict, famine, and a breakdown of social order. Overpopulation, when paired with unsustainable consumption patterns, exacerbates the environmental footprint of humanity. Thus, overpopulation is not only unsustainable in terms of resource availability but also threatens the stability of global ecosystems, making the current trajectory unsustainable. -/- Continuous Economic Growth: A Flawed Paradigm -/- Continuous economic growth, often seen as a key indicator of societal success, is another concept that fails to consider long-term sustainability. Economic growth is typically measured through Gross Domestic Product (GDP), which focuses on output and production. However, GDP does not account for the depletion of natural resources, the degradation of ecosystems, or the social and environmental costs of growth. The relentless pursuit of economic expansion often leads to overexploitation of resources, pollution, and societal inequalities. -/- The idea that economic growth can continue indefinitely on a finite planet is fundamentally flawed. Economists often argue that technological advancements or innovations will offset the pressures of growth by creating more efficient systems. While this may be true to some extent, technology cannot fully replace the finite resources that are essential for production. Moreover, the increasing energy demands associated with growth contribute to environmental degradation, including climate change. A growing population with a growing economy leads to growing consumption, which in turn accelerates environmental degradation. Therefore, continuous economic growth is unsustainable because it disregards the ecological limits of the planet. -/- Supply-Side Economics: A Flawed Foundation -/- Supply-side economics posits that reducing taxes, particularly for corporations and the wealthy, will stimulate investment, boost production, and ultimately benefit the economy as a whole. This model, however, assumes that economic benefits will “trickle down” from the wealthy and businesses to the rest of society. In practice, supply-side economics has led to wealth concentration, growing income inequality, and little evidence that it creates widespread prosperity. -/- The underlying flaw of the supply-side model is its failure to recognize that the demand side of the economy is just as important as the supply side. In reality, economic growth is driven not only by the availability of goods and services but also by consumer demand. Without demand, there is no need for supply—businesses cannot sell products and services if people cannot afford them or are not incentivized to purchase them. Therefore, while supply-side policies may increase production in the short term, they do not address the root causes of inequality or the need for demand-driven growth. -/- Furthermore, supply-side economics often disregards the negative consequences of unfettered production, such as environmental degradation. By focusing solely on increasing supply and reducing government regulation, it exacerbates the ecological strain caused by continuous growth. As businesses prioritize profits, they are incentivized to exploit resources unsustainably, perpetuating the environmental crises associated with overpopulation and unchecked growth. -/- A Holistic Approach to Sustainability -/- To achieve sustainability, a shift away from the traditional paradigms of overpopulation, continuous economic growth, and supply-side economics is necessary. A more balanced approach, which emphasizes responsible consumption, equitable distribution of resources, and ecological preservation, is essential. The focus must shift from growth for the sake of growth to fostering a steady-state economy that works within the Earth’s ecological limits. -/- Education, innovation, and responsible governance will play key roles in transitioning toward a sustainable future. For example, adopting policies that focus on reducing inequality, investing in renewable energy, and promoting sustainable agricultural practices can help mitigate the adverse effects of overpopulation and growth. Similarly, instead of focusing solely on supply-side policies, governments should prioritize strategies that foster demand through wage growth, universal healthcare, and the reduction of poverty. Only by acknowledging the interconnectedness of economic, social, and environmental factors can we hope to create a sustainable future. -/- Conclusion -/- Overpopulation, continuous economic growth, and supply-side economics are unsustainable models in the long run. They fail to consider the limits of our natural resources and the social and environmental consequences of unchecked expansion. A shift toward sustainable practices, responsible consumption, and policies that address both the supply and demand sides of the economy is crucial. Without this shift, the world will continue to face growing challenges that threaten not only our environment but also the stability of society itself. The pursuit of sustainable solutions is not a luxury; it is an imperative for the survival and well-being of future generations. -/- . (shrink)

Nature’s Way of Optimization and the Law of Balance -/- Nature is the ultimate example of efficiency, balance, and sustainability. Everything in the natural world—from how animals survive to how ecosystems function to how the human body works—is designed to maximize effectiveness while minimizing waste. If we observe how nature operates, we can learn valuable lessons about how to make decisions, govern societies, and live our daily lives. -/- This understanding aligns with the universal law of balance in nature, which (...) shows that everything must function in harmony to prevent failure or destruction. Throughout history, civilizations and economies that followed these natural principles thrived, while those that ignored them collapsed. -/- Survival and the Law of Cause and Effect -/- In nature, only the strongest and most adaptable species survive. This process, called natural selection, ensures that living things improve over time by keeping the traits that help them survive and eliminating the ones that don’t. This idea is similar to the law of cause and effect (karma)—if something is defective, it won’t function properly. -/- For example, consider the cheetah and the gazelle. Over generations, cheetahs have evolved to run faster to catch their prey, while gazelles have evolved to be more agile to escape. This balance keeps both species in check. If cheetahs became too fast and killed all gazelles, they would starve. If gazelles became too fast, cheetahs would die out, disrupting the ecosystem. -/- A similar pattern exists In human societies. Singapore is an example of a country that followed the law of balance in its development. It had limited resources but invested heavily in education, technology, and sustainable urban planning. Today, it is one of the most successful economies in the world, proving that proper planning and balance lead to success. -/- In contrast, Venezuela ignored economic balance. Despite having the world’s largest oil reserves, poor policies, corruption, and over-reliance on oil caused economic collapse. This is similar to an animal species that overuses its resources and faces extinction. -/- The Power of Feedback: How Nature Corrects Itself -/- Nature has built-in feedback systems to keep everything in balance. For example, if too many deer exist in a forest, they eat too many plants, reducing food availability. As a result, some deer starve, and their population naturally decreases, restoring balance. -/- A similar feedback system applies to human society. If governments make poor policies, people protest or suffer economic consequences, forcing leaders to change their approach. A clear example is South Korea’s response to the COVI”-19 pandemic. Unlike some countries that ignored early warnings, South Korea quickly implemented mass testing, strict quarantine measures, and public health campaigns. As a result, it controlled the virus better than many other nations, proving that listening to feedback leads to better outcomes. -/- On the other hand, the Chernobyl nuclear disaster (1986) happened partly because Soviet leaders ignored early warnings from engineers, leading to one of the worst nuclear accidents in history. Just like ignoring warning signs in nature leads to extinction, ignoring feedback in society leads to disaster. -/- Energy Efficiency: Why Wasting Resources Leads to Collapse -/- Nature never wastes anything. Plants absorb sunlight efficiently through photosynthesis, animals store energy for survival, and ecosystems recycle nutrients to sustain life. -/- One of the best examples of energy efficiency is the penguin. In the freezing Antarctic, emperor penguins huddle together to conserve heat, taking turns standing on the outside to prevent exhaustion. This natural cooperation ensures survival. -/- Humans, however, often fail to follow this principle. Look at Dubai, a city built in a desert. While it has grown into a major global hub, it also uses massive amounts of water and electricity, relying on desalination plants that consume enormous energy. Without sustainable solutions, this could become a long-term problem, just like a species that consumes resources faster than they can be replenished. -/- A positive example Is Denmark, which has invested heavily in wind energy. Today, nearly 50% of its electricity comes from wind power, making it one of the most energy-efficient nations in the world. -/- Self-Organization: Free Will Exists Within Natural Laws -/- Many people think free will means we can do anything we want, but nature shows that even freedom has limits. Birds can fly, but they must follow air currents. Fish can swim, but they must adapt to ocean conditions. Every action is guided by natural laws that ensure survival and efficiency. -/- A perfect example Is Japan’s railway system. Despite being one of the busiest in the world, it runs with near-perfect punctuality because every part of the system—from maintenance workers to train operators—functions with self-discipline and coordination. This proves that even large-scale human systems can work efficiently when they follow organized, natural principles. -/- However, when humans ignore balance, problems arise. Deforestation in Indonesia has destroyed rainforests at an alarming rate. Because of excessive logging and palm oil plantations, natural ecosystems are collapsing, leading to floods, wildfires, and loss of biodiversity. This is similar to how removing a key species in an ecosystem can lead to its collapse. -/- Resilience and Education: How Societies Can Heal -/- Nature is resilient—it recovers after disasters. Forests regrow after wildfires, coral reefs recover from bleaching, and animals adapt to changing climates. But this recovery only happens because nature learns and adjusts. -/- One of the best human examples of resilience is Germany after World War II. After its destruction, Germany rebuilt itself through education, innovation, and sustainable industry. Today, it is one of the world’s leading economies, proving that even nations can recover if they focus on knowledge, sustainability, and balance. -/- However, societies that fail to learn from their mistakes collapse. Easter Island, once a thriving civilization, was destroyed because its people cut down all their trees, leaving them without resources. Their lack of foresight and adaptation led to their downfall—just like an animal species that fails to adapt to environmental changes. -/- Nature’s Recycling: Why Good Leadership Must Be Sustainable -/- Nature wastes nothing—dead plants and animals decompose into nutrients that feed new life. The carbon and nitrogen cycles keep ecosystems functioning. Just as nature ensures that everything is reused efficiently, leadership and governance should be sustainable. -/- An excellent example of a balanced government is Bhutan. Instead of measuring success by GDP alone, it follows Gross National Happiness (GNH), which considers economic growth, environmental conservation, and cultural values. This balanced approach has made Bhutan one of the happiest and most sustainable countries in the world. -/- On the other hand, countries that ignore sustainability face collapse. Syria’s civil war was worsened by climate change—years of drought caused food shortages, leading to conflict. Ignoring nature’s balance led to political and humanitarian disaster. -/- Conclusion: The Path to a Balanced and Optimized Society -/- Nature teaches us that survival and success depend on balance, efficiency, and adaptation. Societies that respect these principles thrive, while those that ignore them suffer. -/- The universal law of balance in nature is not just a theory—it is a reality that governs everything from biology to economics to human behavior. If we integrate these lessons into education, governance, and leadership, we can create a world that is sustainable, just, and optimized for future generations. -/- If we fail to follow these natural laws, the consequences will be suffering, collapse, and chaos. But if we align with them, we can build a society that thrives in harmony with nature, ensuring peace, prosperity, and sustainability for all. -/- . (shrink)

The Internet of Things (IoT) is a rapidly growing technology that connects and integrates billions of smart devices, generating vast volumes of data and impacting various aspects of daily life and industrial systems. However, the inherent characteristics of IoT devices, including limited battery life, universal connectivity, resource-constrained design, and mobility, make them highly vulnerable to cybersecurity attacks, which are increasing at an alarming rate. As a result, IoT security and privacy have gained significant research attention, with a particular focus on (...) developing anomaly detection systems. In recent years, machine learning (ML) has made remarkable progress, evolving from a lab novelty to a powerful tool in critical applications. ML has been proposed as a promising solution for addressing IoT security and privacy challenges. In this article, we conducted a study of the existing security and privacy challenges in the IoT environment. Subsequently, we present the latest ML-based models and solutions to address these challenges, summarizing them in a table that highlights the key parameters of each proposed model. Additionally, we thoroughly studied available datasets related to IoT technology. Through this article, readers will gain a detailed understanding of IoT architecture, security attacks, and countermeasures using ML techniques, utilizing available datasets. We also discuss future research directions for ML-based IoT security and privacy. Our aim is to provide valuable insights into the current state of research in this field and contribute to the advancement of IoT security and privacy. (shrink)

Abstract: This research aims at the design and implementation of an automatic high-performance voltage stabilizer which helps to detect inappropriate voltage levels and correct them to produce a reasonably stable output. The system consists of five dependent architectural designs which involve the power supply, delay switching circuit, monitoring circuit and load changeover circuit using 555 ic which produces the required signal when switched on by a relay to activate the alarm. The system uses a relay to charge (...) the batteries and automatically switches on this supply to supply the loads. It is composed of switching transistors and relay to control the power provided to ac loads, and it has LEDs for indicating the state of the system, 240-220vac/120-110vac switch, voltmeter displaying load voltage, heatsink, and fans for cooling the system. The system protects electrical equipment and machine against voltage surge. (shrink)

Although the country is endowed with abundant natural resources, rates of unemployment among the youth of Chad remain alarmingly high. Aim: To determine the factors which militate against the youth engaging in entrepreneurial activities in N’Djamena, the capital city of Chad. Method: A random sample 150 young Chadian entrepreneurs was selected from a research population which comprised all of the young entrepreneurs in N’Djamena who were registered on the databases of the FONAJ, a national fund which provides financial support to (...) young entrepreneurs in Chad, and the Trade and Personal Property Credit Register (TPPCR) of Chad. Results: the paper revealed that young entrepreneurs in Chad were faced with obstacles such as a lack of funding, a lack of support from the government for SMEs, and lack of encouragement and financial support from their families. Although there are programmes to assist young entrepreneurs, it was evident from the findings that many experience great difficulty in ensuring the success and sustainability of their businesses. Consequently, they still require additional support with respect to funding, equipment, and assistance and encouragement from their families, financial institutions, and the government, in order to achieve success in their businesses. The paper concludes with appropriate recommendations for both the government and the young entrepreneurs of N’Djamena to provide relevant insights into how the youth can best be integrated into the entrepreneurial sector in the interests of combating unemployment and enabling them to make a meaningful contribution to the growth of the national economy. Uniqueness: the paper validates the extent to which the current support systems mitigate the problems faced by youth entrepreneurs. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Political leaders engage in alarmism when they inflate threats to the commonweal in order to influence citizens' behavior. A range of democratic theorists argue that alarmism is necessary to maintain political order, with some even contending that alarmism is particularly necessary in democratic polities. Yet there appear to be strong grounds for thinking that alarmism is incompatible with the democratic ethos, namely insofar as it contravenes the principle of collective self-determination. Prima facie, alarmism seems to violate this principle because it (...) involves deception and emotional manipulation, both of which are incompatible with a commitment to autonomous, collective decision-making. However, almost none of the democratic theorists who posit alarmism as a political necessity acknowledge this tension, let alone explore how it might be overcome. In this paper, I rebut the claim that alarmism is essentially anti-democratic and argue that under the right institutional conditions it is broadly compatible with the principle of collective self-determination. I argue that if leaders obtain community consent for their use of alarmism, then the apparent tension with collective autonomy dissolves. In the final section of the paper, I briefly sketch how this consent might feasibly be obtained. (shrink)

Bribing doctors for preferential treatment is rampant in the healthcare system of developing countries like Vietnam. Although bribery raises the out-of-pocket expenditures of patients, it is so common to be deemed an “envelope culture.” Given the little understanding of the underlying mechanism of the culture, this study employed the mindsponge theory for reasoning the mental processes of both patients and doctors for why they embrace the “envelope culture” and used the Bayesian Mindsponge Framework (BMF) analytics to validate our reasoning. (...) Analyzing responses from 1042 Vietnamese patients, we discovered that bribing doctors can help patients reduce the destitution risk induced by treatment. Such effect of doctor bribery remains consistent among patients that have to pay high daily costs (e.g., accommodation and subsistence fees) regardless of their employment status. Nevertheless, for patients with no or unstable jobs, their risks of destitution increase if they have to pay more thank-you money. These findings suggest that doctor bribery is an adaptive strategy for patients in an environment where the healthcare supply cannot meet the actual demand. Moreover, healthcare equity is greatly exacerbated due to the envelope culture, as vulnerable individuals are exposed to a greater threat of poverty. At the same time, those with good economic conditions get preferential treatment by paying a higher amount of thank-you money. Healthcare workers’ ethics must be the top priority for an equitable and proper healthcare system. (shrink)

There are three main accounts of the proper function of the low mood system (LMS): the social risk theory, the disease theory, and the propitiousness theory. Adjudicating between these accounts has proven difficult, as there is little agreement in the literature about what a theory of the LMS’s proper function is supposed to explain. In this article, drawing upon influential work on the evolution of other affective systems, such as the disgust system and the fear system, I (...) argue that a theory of the proper function of the low mood system should: (i) account for the reliable, distal causes and effects of the system’s activation, and (ii) explain how having a system that performed such a function increased fitness in ancestral environments. On this basis, I show that the proper function of the low mood system is to limit resource expenditure in relatively unpropitious circumstances, exactly as hypothesised by the propitiousness theory. (shrink)

In this article, I show why it is necessary to abolish the use of predictive algorithms in the US criminal justice system at sentencing. After presenting the functioning of these algorithms in their context of emergence, I offer three arguments to demonstrate why their abolition is imperative. First, I show that sentencing based on predictive algorithms induces a process of rewriting the temporality of the judged individual, flattening their life into a present inescapably doomed by its past. Second, I (...) demonstrate that recursive processes, comprising predictive algorithms and the decisions based on their predictions, systematically suppress outliers and progressively transform reality to match predictions. In my third and final argument, I show that decisions made on the basis of predictive algorithms actively perform a biopolitical understanding of justice as management and modulation of risks. In such a framework, justice becomes a means to maintain a perverse social homeostasis that systematically exposes disenfranchised Black and Brown populations to risk. (shrink)

The exploration of chemical periodicity over the past 250 years led to the development of the Periodic System of Elements and demonstrates the value of vague ideas that ignored early scientific anomalies and instead allowed for extended periods of normal science where new methodologies and concepts are developed. The basic chemical element provides this exploration with direction and explanation and has shown to be a central and historically adaptable concept for a theory of matter far from the reductionist frontier. (...) This is explored in the histories of Prout’s hypothesis, Döbereiner Triads, element inversions necessary when ordering chemical elements by atomic weights, and van den Broeck’s ad-hoc proposal to switch to nuclear charges instead. The development of more accurate methods to determine atomic weights, Rayleigh and Ramsey’s gas separation and analytical techniques, Moseley’s X-ray spectroscopy to identify chemical elements, and more recent accelerator-based cold fusion methods to create new elements at the end of the Periodic Table point to the importance of methodological development complementing conceptual advances. I propose to frame the crossover from physics to chemistry not as a loss of accuracy and precision but as an increased application of vague concepts such as similarity which permit classification. This approach provides epistemic flexibility to adapt to scientific anomalies and the continued growth of chemical compound space and rejects the Procrustean philosophy of reductionist physics. Furthermore, it establishes chemistry with its explanatory and operational autonomy epitomized by the periodic system of elements as a gateway to other experimental sciences. (shrink)

An overview of the ancient philosophers and their philosophical system (divided into the fields of logic, physics, and ethics) comprising the living, organic, enduring, and evolving body of interrelated ideas identifiable as the Stoic perspective.

Philosophical Issues, Volume 31, Issue 1, Page 85-103, October 2021.

This paper presents an original dialectical logic symbol system designed to transcend the limitations of traditional logical symbols in capturing subjectivity, qualitative aspects, and contradictions inherent in the human mind. By introducing new symbols, such as “ὄ” (being) and “⌀” (nothing), and arranging them based on principles of symmetry, the system’s operations capture complex dialectical relationships essential to both Hegelian philosophy and Buddhist thought. The operations of this system are primarily structured around the categories found in Hegel’s (...) Logic, and it allows users to incorporate their own subjectivity into the logical processes, opening up new possibilities in the philosophy of subjectivity. This symbol system also has the potential to help us explore fundamental questions of language and to precisely describe processes of consciousness transformation through symbols. This form of logic offers a new, irreducible tool for qualitative methods, and it will spark a new philosophical reflection on its relationship with traditional logic and mathematical symbols. (shrink)

This paper considers three possible ways of understanding the claim that the American criminal justice system is racist: individualist, “patterns”-based, and ideology-based theories of institutional racism. It rejects an individualist explanation of institutional racism because such an explanation fails to explain the widespread prevalence of anti-black racism in this system or indeed in the United States. It considers a “patterns” account of institutional racism, where consistent patterns of disparate racial effect mimic the structure of intentional projects of racial (...) subjugation like slavery or Jim Crow. While a “patterns” account helpfully directs attention to the effects of policies and practices that make up an institution, it does not fully explain the deep roots of anti-blackness in the criminal justice system in the United States. The paper concludes by defending an ideology-based theory of institutional racism for understanding the criminal justice system because the stereotype of the black criminal has a mutually reinforcing relationship with the patterns of disparate outcome for black people in the criminal justice system. This relationship creates a looping effect where the stereotype of the black criminal fuels the disproportionate involvement of black people in the criminal justice system, and the disproportionate representation of black people with felony records, in prisons, brutalized in police encounters, and so on reinforces the idea that black people are especially prone to criminality. Ideological approaches to racism that integrate attention to the patterns of disparate effect best explain what it means to say that the criminal justice system is racist. (shrink)

This chapter from Michel Serres’s comprehensive study on Leibniz—"The System of Leibniz and its Mathematical Models [Le système de Leibniz et ses modèles mathématiques]"—examines Leibniz’s epistemological framework. This framework, which Leibniz developed for a large part in his “Meditations on Knowledge, Truth, and Ideas [Meditationes de cognitione, veritate et ideis],” is pitched against Descartes’s "Meditations on First Philosophy [Meditationes de Prima Philosophia]" and the method of systematic doubt developed therein. While Descartes rejects any knowledge with the slightest possibility of (...) falsehood, Leibniz accepts knowledge with even a minimal degree of truth. Leibniz’s approach involves a progressive genesis of truth through a series of filters, each further refining knowledge. This process is intrinsically linked to infinitism and combinatorics, allowing for a gradual differentiation of the distinct from the indistinct. The filters are applied sequentially, with each filter proceeding through its own oppositions, resulting in a spectrum of knowledge ranging from obscure to clear, confused to distinct, inadequate to adequate, and symbolic to intuitive. This framework facilitates pluralism within rationalism that proceeds through evolving or regional truths. The filters overlap, and only the final stage of knowledge is devoid of mixture. Leibniz’s epistemology is non-Cartesian, as it relativizes truth and falsehood at each stage of the filtering process. It also accounts for the limitations of sensory perception, attributing them to the imperfection of the human mind in its current state. (Translated by Martijn Boven). (shrink)

There is a growing focus on public health initiatives that prioritise well-being. The main question of our study is whether this, in its current form, can really represent a new response to the challenges of previous strategies, or whether there is a greater chance that it will essentially reproduce the problems associated with the paradoxical situation of public health. Based on a review, analysis and evaluation of the literature on well-being in public health, we outlined the foundations of a new (...) meta-theory of well-being and a possibility for its social application. In our view, well-being is seen as a social representation of a combination of positive and negative freedom of choice concerning the quality of everyday life, used in a positioning process involving both individual and collective aspects. Health is a particular aspect of the social representation and positioning of well-being, which encompasses aspects of the physical, psychological, social and spiritual functioning of individuals. The well-being meta-theory also opens up the possibility for more effective solutions to the social challenges related to well-being and salutogenetic health. It underscores the importance of the need for a dedicated social subsystem where the goals and organizational culture of the organizations involved are focused on well-being and health promotion. In our study, we consider this to be the Public Well-being System (PWS). (shrink)

A large body of evidence suggests that the Personalized System of Instruction (PSI) improves learning. In courses that use PSI, the material is divided into units, students must pass a test on each unit before advancing to the next unit, there’s no group-level instruction, and students advance in the course at their own pace. While studies find that PSI improves learning outcomes in a wide range of settings, researchers haven’t studied the effectiveness of PSI in critical thinking classes. In (...) this paper, I argue that teaching critical thinking with PSI can effectively promote critical thinking skills. I describe a course that uses PSI to teach critical thinking and I present evidence from pre- and post-tests that indicates that students substantially improved their reasoning skills in this course. I also discuss the costs and drawbacks of using this method of instruction and consider ways of addressing these problems. (shrink)

This paper studies a formalisation of intuitionistic logic by Negri and von Plato which has general introduction and elimination rules. The philosophical importance of the system is expounded. Definitions of ‘maximal formula’, ‘segment’ and ‘maximal segment’ suitable to the system are formulated and corresponding reduction procedures for maximal formulas and permutative reduction procedures for maximal segments given. Alternatives to the main method used are also considered. It is shown that deductions in the system convert into normal form (...) and that deductions in normal form have the subformula property. (shrink)

This paper considers a formalisation of classical logic using general introduction rules and general elimination rules. It proposes a definition of ‘maximal formula’, ‘segment’ and ‘maximal segment’ suitable to the system, and gives reduction procedures for them. It is then shown that deductions in the system convert into normal form, i.e. deductions that contain neither maximal formulas nor maximal segments, and that deductions in normal form satisfy the subformula property. Tarski’s Rule is treated as a general introduction rule (...) for implication. The general introduction rule for negation has a similar form. Maximal formulas with implication or negation as main operator require reduction procedures of a more intricate kind not present in normalisation for intuitionist logic. (shrink)

We argue that the core social being system is unlike other core systems in that it participates in frequent, widespread learning. As a result, the social being system is less constant throughout the lifespan and less informationally encapsulated than other core systems. This learning supports the development of the precursors of bias, but also provides avenues for preempting it.

Punishment involves the intentional infliction of harm and suffering. Both of the most prominent families of justifications of punishment – retributivism and consequentialism – face several moral concerns that are hard to overcome. Moreover, the effectiveness of current criminal punishment methods in ensuring society’s safety is seriously undermined by empirical research. Thus, it appears to be a moral imperative for a modern and humane society to seek alternative means of administering justice. The special issue of Diametros “The Abolition of Punishment: (...) Is a Non-Punitive Criminal Justice System Ethically Justified?” was brought into life precisely to give the authors a platform for such progressive inquiries. And it is now safe to say that this platform has been put to excellent use, since Valerij Zisman, Alexander Stachurski, Giorgia Brucato, Perica Jovchevski, Sofia M. I. Jeppsson, Stephen G. Morris, Benjamin Vilhauer, John Lemos, Saul Smilansky, Elizabeth Shaw, Mirko Farina, Andrea Lavazza and Sergei Levin have presented such thought-provoking texts that they are bound to set the stage for debate in the years to come. This article is an introduction to this special issue and to the authors’ papers. (shrink)

Vietnam, with a geographical proximity and a high volume of trade with China, was the first country to record an outbreak of the new Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or SARS-CoV-2. While the country was expected to have a high risk of transmission, as of April 4, 2020—in comparison to attempts to contain the disease around the world—responses from Vietnam are being seen as prompt and effective in protecting the interests of its citizens, (...) with 239 confirmed cases and no fatalities. This study analyzes the situation in terms of Vietnam’s policy response, social media and science journalism. A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items. The findings shed light on how Vietnam—despite being under-resourced—has demonstrated political readiness to combat the emerging pandemic since the earliest days. Timely communication on any developments of the outbreak from the government and the media, combined with up-to-date research on the new virus by the Vietnamese science community, have altogether provided reliable sources of information. By emphasizing the need for immediate and genuine cooperation between government, civil society and private individuals, the case study offers valuable lessons for other nations concerning not only the concurrent fight against the COVID-19 pandemic but also the overall responses to a public health crisis. (shrink)

There are several strong moral reasons for restoring the practice of parole for prisoners of war (POWs), that is, allowing them to spend their POW internment in a neutral country or in their own country provided they abstain from any military activity. This article makes an ethical case for parole, while discussing thoroughly theoretical as well as practical arguments against its reintroduction. The article suggests ways to create a reliable, internationally recognized way of paroling POWs. It concludes that the reintroduction (...) of parole as such is both ethically required and practically possible, and that it would reduce the needless suffering among POWs that exists under a system that does not allow for parole. (shrink)

The teikei movement is a Japanese version of the alternative food movement, which emerged around the late 1960s and early 1970s. Similar to now well-known Community Supported Agriculture, it is a farmer-consumer partnership that involves direct exchanges of organic foods. It also aims to build a community that coexists with the natural environment through mutually supportive relationships between farmers and consumers. This article examined the history of the teikei movement. The movement began as a reaction to negative impacts of mechanized (...) and chemically intensive agriculture promoted by the Japanese government. The movement experienced a rapid expansion in the early 1980s, and then gradually declined thereafter. The organic market expansion and certification system intersected with both cultural and gender role changes, impacting the teikei movement negatively. Consequently, the membership of teikei consumer groups has shrunk. Furthermore, the March 2011 Fukushima Daiichi nuclear power plant accident caused unprece dented damage to organic farmers in the affected regions. Despite the scientific uncertain about the safety level of radiation exposure, the organic farmers and the teikei consumer groups managed the situation and found a way to inspect radiation contamination. They did so with the support by networking with other teikei-related actors. This response to the nuclear power plant accident suggests that although the level of embeddedness presumably varies among teikei actors, ethics guided by the teikei principles are effective in forging a resilient partnership between farmers and consumers and in keeping the teikei system alive as an agent for social change. (shrink)

The relation between mental processes and brain activity is studied from the point of view of the theory of the organism-environment system. It is argued that the systemic point of view leads to a new kind of definition of the primary tasks of neurophysiology and to a new understanding of the traditional neurophysiological concepts. Neurophysiology is restored to its place as a part of biology: its task is the study of neurons as living units, not as computer chips. Neurons (...) are living units which are organised as metabolic systems in connection with other neurons; they are not units which would carry out some psychological functions or maintain states which are typical only of the whole organism-environment system. Psychological processes, on the other hand, are processes always comprising the whole organism-environment system. (shrink)

The ambition of this paper is extensive: to bring about a new paradigm and firm mathematical foundations to Metaphysics, to aid its progress from the realm of mystical speculation to the realm of scientific scrutiny. -/- More precisely, this paper aims to introduce the field of Metaphysical Cosmology. The Metaphysical Cosmos here refers to the complete structure containing all entities, both existent and non-existent, with the physical universe as a subset. Through this paradigm, future endeavours in Metaphysical Science could thus (...) analyse non-physical parts of the Metaphysical Cosmos. New logical notions are displayed as tools for Metaphysical Cosmology, such as a Metric-Space-based predicate system, as well as a revised version of the Existential Quantifier. -/- A type system is presented to derive a construction of the Metaphysical Cosmos. The system is structured through semantic and syntactic definitions in a coherent way and holds only one proper axiom: the existence of (at least) one entity. This paper itself serves as an empirical proof for this axiom. Formulae and equations that depict a clear logical and mathematical structure of the Metaphysical Cosmos are derived from the definitions of the system and this axiom. -/- This culminates in the "Sixth Theorem", whose proof displays logically that there must be something rather than nothing. A computational simulation of the Sixth Theorem is also provided, alongside with methods for a future Metaphysical Science. Thus, this paper does not aim to provide a traditional philosophical argument but rather a mathematical foundation and new paradigm for the science of Metaphysics. (shrink)

Chater & Loewenstein argue that i-frame research has been coopted by private interests opposed to system-level reform, leading to ineffective interventions. They recommend that behavioural scientists refocus on system-level interventions. We suggest that the influence of private interests on research is problematic for wider normative and epistemic reasons. A system-level intervention to shield research from private influence is needed.

Introduction: the objective of the investigation is to analyse the informational operating-mode of the brain and to extract conclusions on the structure of the informational system of the human body and consciousness. Analysis: the mechanisms and processes of the transmission of information in the body both by electrical and non-electrical ways are analysed in order to unify the informational concepts and to identify the specific essential requirements supporting the life. It is shown that the electrical transmission can be described (...) by typical YES/NO (all or nothing) binary units as defined by the information science, while the inter and intra cell communication, including within the synaptic junction, by mechanisms of embodiment/disembodiment of information. The virtual received or operated information can be integrated in the cells as matter-related information, with a maximum level of integration as genetically codified info. Therefore, in terms of information, the human appears as a reactive system changing information with the environment and between inner informational subsystems which are: the centre of acquisition and storing of information (acquired data), the centre of decision and command (decision), the info-emotional system (emotions), the maintenance informational system (matter absorption/desorption/distribution), the genetic transmission system (reproduction) and info-genetic generator (genetically assisted body evolution). The dedicated areas and components of the brain are correlated with such systems and their functions are specified. Result: the corresponding cognitive centres projected into consciousness are defined and described according to their specific functions. The cognitive centres, suggestively named to appropriately include their main characteristics are detected at the conscious level respectively as: memory, decisional operation (attitude), emotional state, power/energy status and health, associativity and offspring formation, inherited predispositions, skills and mentality. The near-death and religious experiences can be explained by an Info-Connection pole. Conclusion: consciousness could be fully described and understood in informational terms. (shrink)