Results for 'air quality rating system'

959 found
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  1.  99
    BMF CP92: Who had no wildlife smoke notifications and knowledge of the air quality rating system?A. I. S. D. L. Team - 2024 - Sm3D Portal.
    The current study is conducted to examine the following research question: 1) Who were the people who had no access to wildfire smoke notifications during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho? 2) Who were the people who were not familiar with the air quality rating system?
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  2. Predictors of Residents’ Sensitivity to Air Quality Index Ratings Amid Wildfire Smoke: Evidence from the United States.Quan-Hoang Vuong, Thanh Tu Tran, Ni Putu Wulan Purnama Sari, Viet-Phuong La & Minh-Hoang Nguyen - manuscript
    Wildfires have become an increasing global threat to public health and quality of life. Many countries employ air quality monitoring and reporting systems to mitigate health risks associated with air pollution, including wildfire smoke. This study investigates the factors influencing individuals’ sensitivity to air quality information, specifically their likelihood of reducing or ceasing outdoor activities in response to air quality ratings, with a focus on wildfire smoke exposure in the western United States. Using the Bayesian Mindsponge (...)
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  3.  62
    AI-Driven Air Quality Monitoring and Management in Smart Cities.Eric Garcia - manuscript
    Air pollution is a critical challenge for urban areas, contributing to public health crises and environmental degradation. Traditional air quality monitoring systems often lack the granularity and adaptability needed to address dynamic pollution sources and patterns. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance air quality management in smart cities by enabling real-time monitoring, pollution source identification, and adaptive mitigation strategies. By integrating data from IoT sensors, satellite imagery, and traffic systems, cities can reduce (...)
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  4. BMF CP91: Socio-demographic factors, illness experience, severity perception, and sensitivity to air quality index.A. I. S. D. L. Team - 2024 - Sm3D Portal.
    The current study is conducted to examine the following research question: What are the factors associated with the sensitivity towards the air quality rating index to reduce outdoor activities?
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  5.  56
    Comparing LSTM, GRU, and CNN Approaches in Air Quality Prediction Models.A. Manoj Prabharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):576-585.
    The results show that the hybrid CNN-LSTM model outperforms the individual models in terms of prediction accuracy and robustness, suggesting that combining convolutional layers with recurrent units is beneficial for capturing both spatial and temporal patterns in air quality data. This study demonstrates the potential of deep learning methods to offer real-time, accurate air quality forecasting systems, which can aid policymakers and urban planners in managing air pollution more effectively.
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  6. Assessing Quality of Life Indicators in Contemporary Buildings in Kruja, Albania: A Regression Model Approach.Klodjan Xhexhi & Almida Xhexhi - 2024 - European Journal of Management Issues 32 (3):194-205.
    Purpose: This article aims to highlight key indicators of residents' quality of life in a specific contemporary building in Kruja, Albania. -/- Design/Method/Approach: A questionnaire with 30 questions was prepared for the inhabitance, and the Binary or Tobit probabilistic models were taken into consideration as part of the methodology, to conclude. The study will further analyze the implications of the inhabitants and their behavior in a specific contemporary building in the city of Kruja. It was examined the statistical significance (...)
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  7. Air pollution and emigration behaviors – evidence of Hanoi.Quang-Loc Nguyen, Saanvi Jain & Singh Ananya - manuscript
    Expeditious increase in population and industrialization has led to alarming rates of air pollution in all countries. However, developing economies have had to face a more adverse and severe impact. This had led to many changes in the day to day living of citizens. In this paper we have focused on the psychological process and predictors of migration intention of the people living in Hanoi, Vietnam. Two stratified random datasets of 475 people were used, and Bayesian analysis was performed on (...)
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  8.  27
    The Importance of Urban Planning and Strict Laws on Informal Settlements.Angelito Malicse - manuscript
    The Importance of Urban Planning and Strict Laws on Informal Settlements -/- Introduction -/- Urbanization is a global phenomenon, bringing both opportunities and challenges. Rapid population growth, especially in developing nations, has led to the rise of informal settlements or “squatter areas.” These settlements often lack proper infrastructure, sanitation, and legal recognition, creating social, economic, and environmental issues. Effective urban planning, combined with strict enforcement of land-use laws and inclusive housing policies, is essential to ensuring sustainable and livable cities. This (...)
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  9. Cloud-Based IoT System for Outdoor Pollution Detection and Data Analysis.Prathap Jeyapandi - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):424-430.
    Air pollution is a significant environmental concern that affects human health, ecosystems, and climate change. Effective monitoring and management of outdoor air quality are crucial for mitigating its adverse effects. This paper presents an advanced approach to outdoor pollution measurement utilizing Internet of Things (IoT) technology, combined with optimization techniques to enhance system efficiency and data accuracy. The proposed framework integrates a network of IoT sensors that continuously monitor various air pollutants, such as particulate matter (PM), carbon monoxide (...)
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  10. The Requirements of Computerized Management Information Systems and Their Role in Improving the Quality of Administrative Decisions in the Palestinian Ministry of Education and Higher Education.Mazen J. Al Shobaki & Samy S. Abu-Naser - 2017 - International Journal of Information Technology and Electrical Engineering 6 (6):7-35.
    The purpose of this study is to identify the requirements of computerized Management Information Systems and their role in improving the quality of administrative decisions in the Palestinian Ministry of Education and Higher Education. The authors used the descriptive analytical method and the questionnaire method to collect the data. (247) questionnaires were distributed on the study sample and (175) questionnaires were collected back with a recovery rate of (70.8). The study showed a number of results, the most important of (...)
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  11. PM2.5-Related Health Economic Benefits Evaluation Based on Air Improvement Action Plan in Wuhan City, Middle China.Zhiguang Qu, Xiaoying Wang, Fei Li, Yanan Li, Xiyao Chen & Min Chen - 2020 - International Journal of Environmental Research and Public Health 17:620.
    On the basis of PM2.5 data of the national air quality monitoring sites, local population data, and baseline all-cause mortality rate, PM2.5-related health economic benefits of the Air Improvement Action Plan implemented in Wuhan in 2013–2017 were investigated using health-impact and valuation functions. Annual avoided premature deaths driven by the average concentration of PM2.5 decrease were evaluated, and the economic benefits were computed by using the value of statistical life (VSL) method. Results showed that the number of avoided premature (...)
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  12. Quality of Services and Its Role in Enhancing Strategic Flexibility in Non-Governmental Hospitals.Zahi O. Abu-Nahel, Wafiq H. Alagha, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2020 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 4 (10):38-56.
    Abstract: The study aimed to determine the quality of services and its role in enhancing strategic flexibility, from the point of view of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data and consisted of (39) items, and the researchers used the comprehensive survey method, and the number of the study population was (536) individuals, where (434) questionnaires were retrieved, (...)
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  13. Socio-economic factors of providing quality of livestock products in Ukraine.Iryna Kyryliuk, Yevhenii Kyryliuk, Alina Proshchalykina & Sergii Sardak - 2020 - Journal of Hygienic Engineering and Design 31:37-47.
    In the context of Ukraine’s membership in the WTO, the functioning of a free trade area with the EU, the opportunity for agricultural producers to obtain a larger share of the value added is primarily linked to the intensification of trade in domestic livestock products and their processing products. However, their production is one of the high-risk areas and requires a set of measures aimed at ensuring proper quality. Without effective solution of the problem of quality of livestock (...)
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  14. Strategic Flexibility and Its Relationship to the Level of Quality of Services Provided in Non-Governmental Hospitals.Zahi O. Abu-Nahel, Wafiq H. Alagha, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (10):57-84.
    Abstract: The study aimed to determine the strategic flexibility and its relationship to the level of quality of services provided, from the viewpoint of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data and consisted of (39) items, and the researchers used the comprehensive survey method, and the number of the study population was (536) individuals, where (434) questionnaires were (...)
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  15.  27
    The Future of Economic Systems: A Balance Between Capitalism, Socialism, and Sustainable Growth.Angelito Malicse - manuscript
    -/- The Future of Economic Systems: A Balance Between Capitalism, Socialism, and Sustainable Growth -/- Economic systems have evolved over centuries to meet the needs of societies. The invention of monetary value, a social construct, allowed for the exchange of goods and services, making economies function at a large scale. However, while this system has undoubtedly brought prosperity to many, it has also led to inequalities and environmental challenges. In order to address these issues and ensure a sustainable future, (...)
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  16. Responsive Flexibility and Its Role in Improving Service Quality in Non-Governmental Hospitals.Zahi O. Abu-Nahel, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (9):38-61.
    The study aimed at identifying responsive flexibility and its role in improving service quality, from the point of view of the internal beneficiary in non-governmental hospitals in Gaza Strip. The study relied on the descriptive and analytical approach, and the questionnaire was designed as a tool to collect data, and the researchers used the comprehensive survey method, and the number of the study population was (536) single, where (434) questionnaires were retrieved, and the recovery rate was (80.97%). The study (...)
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  17. VIRTUAL LANDSCAPE IN SERIOUS GAMES: A FRAMEWORK FOR ENHANCING THE PLAYER INTERACTION FOCUSING ON THE LEARNING RATE.Sepehr Vaez Afshar - 2021 - Dissertation, Istanbul Technical University
    Throughout history, education has always been essential for humanity's justice and fundamental for the creation of a free and satisfying society with the dissemination of knowledge. Hence, in addition to the life occurrences educating people, traditional higher education methods have played an important role for a long period. However, the age of technology has changed the educational system along with the people's lifestyles to meet the continuously changing conditions. During the past twenty years, the Information and Communication Technologies (ICTs) (...)
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  18. Decision Support Systems and Their Impact on the Development of the Organizational Structure in Palestinian Higher Education Institutions.Al Shobaki Mazen J. - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):1-22.
    The aim of the research is to identify decision support systems and their impact on the development of the organizational structure in Palestinian higher education institutions. The research was applied to four Palestinian universities (Al-Aqsa University, the Islamic University, Al-Azhar University, the University of Palestine), and a sample of academics with an administrative position. The analytical descriptive approach was used and secondary data was obtained through a survey list distributed to the research community of academics in an administrative position using (...)
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  19. Using Inexpensive Home Alarm for Computer Based Carbon Monoxide Monitoring.Abdullah Hussein Mohammed - 2012 - Asian Transactions on Engineering 2 (02):6.
    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 (...)
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  20. FACTORS INFLUENCING E-CRM IN AIRLINES IN J& K.Jyoti Sharma - 2014 - SOCRATES 2 (1):134-145.
    Today every organization is acting in a dynamic environment and in a world characterised by turbulent change and fierce competition due to technological advancement and the knowledge based economy, an organization must always ready to adapt and transform themselves so as to be able to confront the shifting needs of the new environment, more demanding customers, smarter workers, anticipating ability to changes, accelerating the development of new products, processes and services, changing technologies and customer expectations, businesses have realised the importance (...)
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  21.  72
    AI-Driven Air Quality Forecasting Using Multi-Scale Feature Extraction and Recurrent Neural Networks.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):575-590.
    We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance metrics like (...)
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  22.  53
    Comprehensive Inspection and Analysis of Water Distribution Lines.Goli Shiva Ram - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (8):1-14.
    This IoT-based water quality monitoring system ensures good water quality in distribution lines by monitoring pH value, flow rate, and conductivity level in real-time. Utilizing Arduino, pH, flow, and conductivity sensors, and ESP8266 WiFi module, the system analyses data and sends automated alerts to authorized personnel's Android devices. This automated monitoring enhances public health, provides real-time data analysis, and enables remote monitoring, making it an efficient solution for water distribution plants to maintain optimal water quality.
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  23. Machine Learning Application to Predict The Quality of Watermelon Using JustNN.Ibrahim M. Nasser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (10):1-8.
    In this paper, a predictive artificial neural network (ANN) model was developed and validated for the purpose of prediction whether a watermelon is good or bad, the model was developed using JUSTNN software environment. Prediction is done based on some watermelon attributes that are chosen to be input data to the ANN. Attributes like color, density, sugar rate, and some others. The model went through multiple learning-validation cycles until the error is zero, so the model is 100% percent accurate for (...)
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  24.  51
    A Comparative Study of Advanced Techniques for Predicting Air Quality with Deep Learning.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):575-586.
    In recent years, the prediction of air quality has become a critical task due to its significant impact on human health and the environment. With urbanization and industrial growth, the need for accurate air quality forecasting has become more urgent. Traditional methods for air quality prediction are often based on statistical models or physical simulations, which, while valuable, can struggle to capture the complexity of air pollution dynamics. This study explores the use of deep learning techniques to (...)
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  25. Wireless IoT Sensors for Environmental Pollution Monitoring in Urban Areas.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):434-441.
    The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. (...)
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  26. Low-Power IoT Sensors for Real-Time Outdoor Environmental Pollution Measurement.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):430-440.
    The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. The system's performance is evaluated through simulations and real-world experiments, demonstrating its capability to deliver reliable and timely pollution data. (...)
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  27.  81
    Interpretable Deep Learning Models for Air Quality Prediction: A Study of Techniques and Applications.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):620-630.
    In recent years, the prediction of air quality has become a critical task due to its significant impact on human health and the environment. With urbanization and industrial growth, the need for accurate air quality forecasting has become more urgent. Traditional methods for air quality prediction are often based on statistical models or physical simulations, which, while valuable, can struggle to capture the complexity of air pollution dynamics. This study explores the use of deep learning techniques to (...)
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  28.  65
    Evaluating Advanced Deep Learning Methods for Regional Air Quality Index Forecasting.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):600-620.
    We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance metrics like (...)
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  29. Predictive Modeling of Smoke Potential Using Neural Networks and Environmental Data.Abu Al-Reesh Kamal Ali, Al-Safadi Muhammad Nidal, Al-Tanani Waleed Sami & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (9):38-46.
    This study presents a neural network-based model for predicting smoke potential in a specific area using a Kaggle-derived dataset with 15 environmental features and 62,631 samples. Our five-layer neural network achieved an accuracy of 89.14% and an average error of 0.000715, demonstrating its effectiveness. Key influential features, including temperature, humidity, crude ethanol, pressure, NC1.0, NC2.5, SCNT, and PM2.5, were identified, providing insights into smoke occurrence. This research aids in proactive smoke mitigation and public health protection. The model's accuracy and feature (...)
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  30. MIND-BODY RESPONSE AND NEUROPHYSIOLOGICAL CHANGES DURING STRESS AND MEDITATION: CENTRAL ROLE OF HOMEOSTASIS.Jerath Ravinder, Vernon A. Barnes & Molly W. Crawford - 2014 - Journal of Biological Regulators and Homeostatic Agents 28 (4):545-554.
    Stress profoundly impacts quality of life and may lead to various diseases and conditions. Understanding the underlying physiological and neurological processes that take place during stress and meditation techniques may be critical for effectively treating stress-related diseases. The article examines a hypothetical physiological homeostatic response that compares and contrasts changes in central and peripheral oscillations during stress and meditation, and relates these to changes in the autonomic system and neurological activity. The authors discuss how cardiorespiratory synchronization, which occurs (...)
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  31. TAXA DE PRENHEZ EM INSEMINAÇÃO ARTIFICIAL EM TEMPO FIXO COM REPASSE DE TOURO EM MONTA NATURAL.Ítalo de Moura Seixas Pereira, Márcio Hilário Silva Marques, Milena de Jesus Evangelista, Milton Rezende Teixeira Neto & Fabiely Gomes da Silva Nunes - 2024 - Repositório Uniftc/Vic 1 (1):1-12.
    RESUMO A inseminação artificial (IA) é a biotecnologia mais empregada com vantagens superiores em relação a utilização da monta natural, cuja eficácia se dá na larga escala de reprodução entre os bovinos. Associando essa biotécnica com hormônios pode-se estabelecer manipulações do sistema reprodutivo da fêmea, levando a manejos de inúmeras cabeças de gado para inseminar a um tempo fixo. Portanto, foram realizados 5 protocolos de IATF, tendo 2 categorias de animais: nulíparas e multíparas. No protocolo 1 foram submetidas 81 multíparas, (...)
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  32.  75
    AI-Driven Smart Wastewater Management: Enhancing Urban Water Sustainability and Resource Recovery.Eric Garcia - manuscript
    Urban wastewater management is a critical component of sustainable water cycles, but traditional systems often struggle with inefficiencies such as high operational costs, resource wastage, and environmental pollution. This paper explores how Artificial Intelligence (AI) and IoT technologies can optimize urban wastewater management by enabling real-time monitoring, predictive maintenance, and resource recovery. By integrating data from IoT sensors, water quality monitors, and treatment plants, cities can improve water quality, reduce operational costs, and recover valuable resources such as energy (...)
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  33. The Role of the Practice of Excellence Strategies in Education to Achieve Sustainable Competitive Advantage to Institutions of Higher Education-Faculty of Engineering and Information Technology at Al-Azhar University in Gaza a Model.Mazen J. Al Shobaki & Samy S. Abu Naser - 2017 - International Journal of Digital Publication Technology 1 (2):135-157.
    This study aims to look at the role of the practice of excellence strategies in education in achieving sustainable competitive advantage for the Higher educational institutions of the faculty of Engineering and Information Technology at Al-Azhar University in Gaza, a model, and the study considered the competitive advantage of educational institutions stems from the impact on the level of each student, employee, and the institution. The study was based on the premise that the development of strategies for excellence in education, (...)
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  34. (1 other version)Key Ethical Issues Related to Covid 19 Vaccination: Personal Choice vs. Greater Public Welfare and Informed Consent.Akram Almatarneh - 2023 - Journal of Legal, Ethical and Regulatory Issues 26 (2):1-106.
    Vaccination against various diseases has been widely practised for more than a century and on a more limited scale its use in a variety of forms stretches back far longer. During earlier eras disease spread more slowly along shipping lanes on water and traditional transport routes on land. Today, in an era of air transport, contagion spreads far more rapidly. Travelling far more rapidly (indeed instantaneously) is the spread of misinformation that hinders vaccination which can, in the instance of Covid-19, (...)
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  35.  29
    Why All Mathematical Equations Have an Equal Sign in the Middle (Including Deviations and Applications Across All Fields of Mathematics).Angelito Malicse - manuscript
    Why All Mathematical Equations Have an Equal Sign in the Middle (Including Deviations and Applications Across All Fields of Mathematics) -/- Mathematics is a universal tool used to express relationships, patterns, and structures in both abstract and real-world settings. At the heart of this tool is the equal sign, which symbolizes balance and equivalence between two ideas. The equal sign ensures that what is expressed on one side of an equation corresponds directly to the other. However, in practical applications, perfect (...)
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  36. The Value of Being Wild: A Phenomenological Approach to Wildlife Conservation.Adam Cruise - 2020 - Dissertation, University of Stellenbosch
    Given that one-million species are currently threatened with extinction and that humans are undermining the entire natural infrastructure on which our modern world depends (IPBES, 2019), this dissertation will show that there is a need to provide an alternative approach to wildlife conservation, one that avoids anthropocentrism and wildlife valuation on an instrumental basis to provide meaningful and tangible success for both wildlife conservation and human well-being in an inclusive way. In this sense, The Value of Being Wild will showcase (...)
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  37.  63
    Entropy in Physics using my Universal Formula.Angelito Malicse - manuscript
    -/- 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 (...)
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  38.  37
    Applying Modern Monetary Theory to the Philippines: Achieving Economic Balance Through Natural Laws.Angelito Malicse - manuscript
    Applying Modern Monetary Theory to the Philippines: Achieving Economic Balance Through Natural Laws -/- Introduction -/- The Philippines faces persistent economic challenges, including slow GDP growth, high income inequality, inflationary pressures, and overpopulation. Traditional economic policies often focus on austerity, borrowing limits, and foreign investments, but these approaches fail to address the root causes of economic imbalance. -/- Modern Monetary Theory (MMT) offers an alternative by allowing the government to issue money to finance public spending without relying on foreign debt (...)
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  39.  32
    The Unspoken Truth: A Lifetime of Work for Survival in an Overpopulated and Depopulating World.Angelito Malicse - manuscript
    The Unspoken Truth: A Lifetime of Work for Survival in an Overpopulated and Depopulating World -/- Introduction -/- From childhood, we are taught that education is the key to success. We spend roughly the first 20 years of our lives in school, preparing for an uncertain future. We are encouraged to dream big, pursue careers, and find our passions. However, what no one explicitly tells us is that these 20 years are merely preparation for 50 or more years of working—primarily (...)
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  40.  24
    Why Elon Musk is Wrong About the “Population Collapse” Problem.Angelito Malicse - manuscript
    Why Elon Musk is Wrong About the “Population Collapse” Problem -/- Elon Musk has repeatedly warned that low birth rates in many developed countries pose a major threat to human civilization. He argues that a shrinking population will lead to economic decline, labor shortages, and reduced innovation, ultimately making it harder for humanity to sustain itself and expand into space. However, his concerns may be exaggerated, as decreasing population growth is not necessarily a crisis. In fact, it can offer several (...)
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  41.  23
    Is Overpopulation Necessary for Capitalism?Angelito Malicse - manuscript
    Is Overpopulation Necessary for Capitalism? -/- Introduction -/- The relationship between population growth and capitalism has been a subject of debate for centuries. Some argue that a large population is necessary for a thriving capitalist system, as it provides labor and fuels consumer demand. Others believe that excessive population growth leads to economic and environmental problems, making it an unsustainable approach. Even in a world with vast natural resources, as it was thousands of years ago, overpopulation is not a (...)
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  42.  19
    The Dangers of Living in an Unsafe Community: Causes, Effects, and Comprehensive Government Solutions.Angelito Malicse - manuscript
    The Dangers of Living in an Unsafe Community: Causes, Effects, and Comprehensive Government Solutions -/- The environment in which a person lives significantly impacts their well-being, security, and future opportunities. Staying in a community with dangerous individuals—such as criminals, violent gangs, or those engaging in unethical behavior—poses serious risks. While some people may have no choice due to financial or personal circumstances, it is always advisable to seek a safer environment whenever possible. This essay explores the causes of unsafe communities, (...)
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  43. Deep Fraud Net: A Deep Learning Approach for Cyber Security and Financial Fraud Detection and Classification (13th edition).Sugumar Dr R. - 2023 - Journal of Internet Services and Information Security 13 (4):138-157.
    Given the growing dependence on digital systems and the escalation of financial fraud occurrences, it is imperative to implement efficient cyber security protocols and fraud detection methodologies. The threat's dynamic nature often challenges conventional methods, necessitating the adoption of more sophisticated strategies. Individuals depend on pre-established regulations or problem-solving processes, which possess constraints in identifying novel and intricate fraudulent trends. Conventional techniques need help handling noise data and the substantial expenses incurred by false positives and true positives. To tackle these (...)
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  44. Design and Performance Investigation of a Low Cost Portable Ventilator for COVID-19 Patients.Mustefa Jibril, Messay Tadese & Nuriye Hassen - 2020 - Report and Opinion Journal 12 (9):22-26.
    In this paper, the design of a low cost portable ventilator with performance analysis have been done to solve the scarcity of respiratory ventilators for COVID-19 patients. The materials used to build the system are: DC motor, rotating disc and pneumatic piston. The system input is the patient heart beat and the output is volume of air to the patient lung with adjusted breathing rate. This ventilator adjusts the breathing rate to the patient depending on his heart beat (...)
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  45.  10
    The Advantages of Self-Sufficient Countries with Manageable Populations and Minimal Import Dependence.Angelito Malicse - manuscript
    The Advantages of Self-Sufficient Countries with Manageable Populations and Minimal Import Dependence -/- Introduction -/- In a world where globalization has connected economies, many nations remain highly dependent on imports for essentials such as food, energy, and industrial materials. While trade brings benefits, over-reliance on imports exposes nations to risks such as supply chain disruptions, inflation, and geopolitical pressures. However, some countries have successfully built self-sufficient economies, allowing them to thrive with minimal reliance on foreign resources. -/- Self-sufficient countries benefit (...)
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  46. Artificial Intelligence: From Talos to da Vinci.Konstantinos C. Christodoulou & Gregory Tsoucalas - 2023 - European Journal of Therapeutics 29 (3):e25-e27.
    The mythical bronze creature Talos (Greek: Τάλως) was worshiped initially as the god of light or the sun in the Hellenic Island of Crete. He is supposed to have lived in the peak Kouloukona of the Tallaia Mountains in the Gerontospelio cave. His relation towards bronze and fire and his continuous voyage circling the island of Crete most probably introduces the concept of the change of the four seasons. The sun was considered in the area of the South-East Mediterranean nations (...)
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  47. Effects of Gluteus Maximus Muscle Strength on Ataxia, Gait, and Equilibrium in Multiple Sclerosis.Fatma Erdeo, Ali Ulvi Uca, Osman Serhat Tokgöz, Yeliz Salcı & Ayla Fil Balkan - 2023 - European Journal of Therapeutics 29 (1):81-87.
    Introduction: Multiple sclerosis (MS) is an autoimmune disease that causes scar tissue in the nervous system and seriously affects the quality of life of people. Muscle weakness, spasticity and coordination problems are seen primarily in the lower extremities. Strengthening exercises improve muscle strength in people with multiple sclerosis, but there is no consensus on their effect on walking capacity. -/- Methods: To determine the relationship between gluteus maximus muscle strength, ataxia, balance and walking capacity in Multiple Sclerosis. An (...)
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  48.  9
    Sustainable Economic Growth: Increasing GDP Without Excessive Population Growth.Angelito Malicse - manuscript
    Sustainable Economic Growth: Increasing GDP Without Excessive Population Growth -/- Economic growth has traditionally been associated with population growth, as more people typically mean a larger workforce and greater demand for goods and services. However, relying solely on population expansion to increase Gross Domestic Product (GDP) is not a sustainable long-term strategy. Overpopulation can lead to resource depletion, environmental degradation, and strained public services. Fortunately, there are ways to boost economic growth without excessive population increases by focusing on productivity, technological (...)
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  49. The Sustainable Economic Model Based on the Universal Law of Balance.Angelito Malicse - manuscript
    The Sustainable Economic Model Based on the Universal Law of Balance -/- By Angelito Malicse -/- This model builds on the Universal Law of Balance, integrating sustainable population management, economic stability, technological progress, and environmental harmony. It presents a framework for a balanced civilization, where society no longer depends on endless population growth to sustain economic systems. Instead, human progress is guided by equilibrium between resources, technology, and well-being. -/- I. THE UNIVERSAL LAW OF BALANCE AS A FOUNDATION -/- The (...)
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  50. The perception of material qualities and the internal semantics of the perceptual system.Rainer Mausfeld - 2010 - In Albertazzi Liliana, Tonder Gervant & Vishwanath Dhanraj, Perception beyond Inference. The Information Content of Visual Processes. MIT Press.
    The chapter outlines an abstract theoretical framework that is currently (re-)emerging in the course of a theoretical convergence of several disciplines. In the first section, the fundamental problem of perception theory is formulated, namely, the generation, by the perceptual system, of meaningful categories from physicogeometric energy patterns. In the second section, it deals with basic intuitions and assumptions underlying what can be regarded as the current Standard Model of Perceptual Psychology and points out why this model is profoundly inadequate (...)
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