bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Akomodasi, Transportasi dan Harga Jasa Boga Terhadap Minat Melakukan Perjalanan Wisata
Authors: Muna Natasya Lailiya Khoiril , Arosyid Harun , Saxzena Bayyu , Yudiantoro Deny
Published: November 2024

This study aims to determine the effect of accommodation, transportation and food service prices on interest in travel in Tulungagung. This research is a quantitative study using primary data for 2015-2022 obtained from the Central Bureau of Statistics (BPS). The method used uses quantitative methods with data collection using questionnaires. Based on research that has been conducted on the effect of accommodation, transportation, and the price of food services on interest in travel (case study of Sharia Tourism Study Program Students UIN Sayyid Ali Rahmatullah Tulungagung Class of 2020-2022). Accommodation, Transportation, and Food Service Prices have a positive effect on interest in travel. The higher the level of accommodation, transportation and the price of good food services, the higher the student's interest in trying to travel. Accommodation has a positive effect on interest in travel. The higher the level of accommodation regarding travel interest, the higher the interest in travel will be. Transportation has a positive effect on interest in travel. The higher the level of transportation regarding travel, the higher the interest in travel will be. price of food services has no effect on interest in traveling. The small value of the price of food services does not necessarily attract tourists to travel.
Analisis Break Even Point (BEP) dan Margin Of Safety (MOS) dalam Keputusan Perencanaan Laba pada Kedai Kopicab Bandar Lor
Authors: Nadia Nurkholisa  , Ahmad Idris  , Karari Budi Prasasti
Published: November 2024

Increasingly advanced developments and increasingly sophisticated technology have made the coffee business a promising business. This can be seen from the widespread sale of quality local coffee which is now everywhere, from roadside areas, business areas, to shopping centers. The goal of a company is definitely to make a profit. The aim of this research is to determine the minimum sales limit, sales planning, sales targets and sales safety limits using break even point (BEP) and margin of safety (MOS) analysis tools as profit planning decisions. The research method used in this research is quantitative descriptive type. The research was conducted at Kedai Kopicab which is located at Bandar Lor, Kec. Mojoroto, Kediri City, East Java. The sample in this research is all the costs incurred by Kedai Kopicab in selling Vietnam Drip products. Research data was obtained through the interview stage and financial reports held by Kedai Kopicab.  The results of the research are that Kedai Kopicab wants an increase for the next three years of 10% each year and obtains a BEP value in 2024 of IDR 68,734,132, in 2025 of IDR 71,461,209, and in 2026 of IDR 74,738,514. However, even though the BEP value increases each year, the percentage obtained by Kedai Kopicab tends to decrease each year. This requires anticipating risks such as controlling costs, increasing sales, and adjusting selling prices.
Kinerja Keuangan dan Belanja Kota Pasuruan Tahun 2019-2023
Authors: Adinda Yasinta Nurul Hasan  , Aqilla Nabbihah  , Berlian Gustina Riyadi  , Ferdiaz Riandra Febrilliant  , Renita Syilviana  , Mega Tunjung Hapsari
Published: November 2024

The aim of this research will focus on the management of Regional Original Income and regional expenditure in Pasuruan City. Descriptive qualitative analysis methods will be used to explain the research results. Data obtained from the realization of Pasuruan City's financial reports for 2019-2023. The results of the analysis show that the degree of decentralization ratio has poor performance. The average performance financial independence ratio is very low. The average performance of the expenditure growth ratio is not good. Average operational expenditure performance is good. Average capital expenditure performance is good.
Analisis Faktor-Faktor yang Memengaruhi Kemiskinan Menggunakan Metode Analisis Komponen Utama dan Analisis Faktor di Jawa Tengah Tahun 2022
Authors: Rif’atila Talitha Fitri , Sari Dewi Putri Sekar , Wulandari Sri Pingit
Published: November 2024

Kemiskinan adalah kondisi kurangnya kemampuan untuk memenuhi kebutuhan pokok atau kebutuhan standar hidup rata-rata masyarakat di suatu daerah. Provinsi Jawa Tengah adalah salah satu wilayah pusat pertumbuhan nasional, namun angka kemiskinannya masih lebih tinggi dibandingkan rata-rata nasional. Dengan jumlah penduduk miskin mencapai 14,63% dari total penduduk miskin nasional. Angka tersebut menunjukkan adanya tantangan dalam menurunkan kemiskinan di Jawa Tengah, yang mana akan berdampak pada tingkat kesejahteraan sosial di masyarakatnya. Maka perlu dilakukan penelitian agar dapat mengetahui aspek apa yang dapat dibenahi untuk menekan angka kemiskinan di Jawa Tengah. Penelitian ini menggunakan analisis komponen utama dan analisis faktor untuk mengidentifikasi faktor-faktor yang memengaruhi kemiskinan di Jawa Tengah untuk membantu menyelesaikan salah satu indikator masalah kesejahteraan sosial di Jawa Tengah pada tahun 2022. Data yang digunakan dalam penelitian ini adalah data publikasi Badan Pusat Statistik (BPS) Jawa Tengah dan Nasional tahun 2022. Dari hasil analisis didapatkan hasil uji asumsi data faktor-faktor yang memengaruhi kemiskinan di Jawa Tengah memenuhi asumsi berdistribusi normal multivariat, terdapat hubungan ketergantungan antar variabel, data cukup untuk analisis faktor, dan terdapat korelasi antar variabel. Selain itu pada hasil ekstraksi faktor menunjukkan bahwa variabel Rumah Tangga yang Memiliki Akses Terhadap Sanitasi Layak dan Rasio Angka Beban Ketergantungan tidak berpengaruh signifikan. Hasil analisis komponen utama didapatkan 3 komponen utama yang memengaruhi kemiskinan di Jawa Tengah. Faktor-faktor yang terbentuk sudah tepat dalam merangkum variabel-variabel yang memengaruhi kemiskinan di Jawa Tengah tahun 2022.
The Contributions of Aesthetics for Ethics in the Digital Metamorphosis
Authors: Chardel Pierre-Antoine ,   Philosophy Documentation Center
Published: November 2024

Eco-ethics faces a major challenge: to contribute to the development of a virtuous technological society, capable of improving the psychological and mental well-being of those who shape our society. This challenge is immense and we are at a critical moment. Digital technologies have become deeply embedded in our daily lives, influencing how we engage with the world, learn, and interact with others, for better or worse. Given that the premise of technological development is ambivalent, which is inherent in the process of metamorphosis, we must consider the possibility and necessity of making choices in the process of innovation and technological development. We can ask ourselves: on the basis of which set of values? With what horizons of meaning? In order to try to provide answers to these questions, one of the challenges of this article will be to consider the importance of integrating an aesthetic dimension into what we call the work of ethics.
Legal Ambiguity in Handling Cryptocurrency Evidence: Challenges and Solutions
Authors: Kartono Kartono , Susanti Neva Sari , Soewita Samuel , Salim Agus , Imron Ali
Published: November 2024

This study explores the legal ambiguities and challenges in handling cryptocurrency evidence in criminal cases, particularly in Indonesia. Cryptocurrencies, with their decentralized and anonymous nature, are increasingly being used in illegal activities such as money laundering, fraud, and drug trafficking. The absence of clear regulations on the legal status and treatment of cryptocurrencies as evidence creates significant hurdles for law enforcement, including difficulties in seizure, identification of owners, and admissibility in court. By employing a qualitative approach with descriptive analysis, the study analyzed legal frameworks, conducted interviews with legal experts, and reviewed cases involving cryptocurrencies. Findings highlight the need for clear regulations defining the legal status of cryptocurrencies, structured training programs for law enforcement on blockchain technology, and international cooperation to address cross-border challenges. The study offers actionable recommendations, including legal reform, capacity building, and enhanced international collaboration, aiming to improve governance and ensure justice in cases involving cryptocurrency evidence.
Digital Literacy and Technical Competence: Assessing the Competence and Performance of Senior High School Physical Education Teachers in Online Distance Learning
Authors: Lapesigue Juvanie
Published: November 2024

The transition to online distance learning during the COVID-19 pandemic highlighted the importance of teachers' digital literacy and technical competence for effective virtual instruction. This quantitative study investigated the teaching competence and performance of 61 senior high school Physical Education (PE) teachers from Davao City, Philippines in implementing online learning delivery modalities. Data was collected through a structured questionnaire assessing digital literacy, technical competence, and teaching performance based on the Department of Education's standards for content delivery, pedagogy, and assessment. Results showed that respondents generally agreed on possessing digital literacy skills like utilizing ICT for learning and collaborating online (mean=4.06). However, they exhibited moderate technical competence in video editing and navigating learning management systems (mean=3.97). Regarding teaching performance, respondents were highly proficient in content delivery by establishing aligned goals and acknowledging learners' backgrounds (mean=3.28). They were also highly skilled in pedagogy through clear communication and designing advanced learning experiences (mean=3.31) and in assessment by implementing reliable evaluation methods and providing timely feedback (mean=3.29). The study found significant positive correlations between digital literacy and technical competence with teaching performance in pedagogy and assessment, but not content delivery. These findings suggest that while teachers demonstrate strong content knowledge, enhancing their technological skills could improve virtual pedagogy and assessment strategies. Targeted professional development focusing on emerging technologies and integrating them into instruction is recommended.
Low Cost Mass-Produced Drones: a Tactical Advantage
Authors:   Australian Defence Force, Kent Amanda
Published: November 2024

Air Marshal Chipman, former Chief of the Air Force, announced on the eve of the 2023 Avalon Air Show that Australia needs to consider and invest in low-cost mass-produced (LCMP) drones. LCMP drones are those, which either are readily available as off-the-shelf products and/or easily manufactured by sovereign capability, at a cost in the order of $10,000 or less. The announcement acknowledged the sharp rise in the use of LCMP drones recently and their significant contribution to air power. This blog explores some of the roles, advantages and considerations when acquiring this technology.
From Classroom to Career: The Role of Education, Training, and Academic Achievement in Shaping Earning Potential in Pakistan
Authors: Shakil Muhammad Haseeb , Hassan Aima , Nadeem Mahnoor
Published: November 2024

In this study, researchers explored how education, training, and earning potential are connected among young professionals in Pakistan, focusing on the mediating role of academic achievement. Using data from 200 respondents in Lahore, the study employed a cross-sectional survey design and structural equation modelling to test the proposed relationships. The findings indicate that education and training significantly boost earning potential, with academic achievement playing a key mediating role. However, systemic challenges such as underfunded educational infrastructure and a mismatch between training programs and labour market needs hinder the full realisation of earning potential in Pakistan. These insights are valuable for policymakers, educators, and industry stakeholders, emphasising the need for strategic alignment between education, training, and market demands to improve labour market outcomes. The study also extends the human capital theory by contextualising it within the unique socio-economic environment of a developing country.
Keterlibatan Kerja pada Anggota Kepolisian: Tinjauan Sistematis terhadap Faktor-faktor yang Meningkatkan Keterlibatan Kerja
Authors: Inesia Agustina , Sandika Bonita , Putri Eka , Sin Yadanar Thein Phyu
Published: November 2024

Work involvement is an important phenomenon in the context of organizations, especially in demanding environments such as the police. The purpose of this study is to analyze and explain the factors that can increase work engagement in police membership. This study is a systematic literature review with samples in the form of secondary data from journals searched through Google Scholar, Publish or Perish, Academia.edu, and PubMed Central. The main keywords and focus of this study are "Work Engagement" AND "Members of the Police Force". The questions in this study were made using the PICOS (Population, Intervention, Comparation, Outcomes, and Study) framework. The results of the study showed that there were three groups of factors that had an influence on increasing work involvement in police members. These groups of factors are: individual factors, organizational factors, and social factors. Individual factor groups that have the most types of factors compared to other factor groups. In this case, it can be said that individual factor groups have a dominant role in increasing work engagement in police officers.
An Overview of the Growth of Bangladesh's Renewable Energy Sector, Outlining Current Challenges and Future Prospects
Authors: Ullah Aman , Hussain Md. Naeem , Ahamad Firoj , Saifullah Saifullah , Roman Fahim Al Mahmud
Published: November 2024

The main objective of this review is to develop renewable energy (RE) sectors and overcome any obstacles regarding this in Bangladesh. Bangladesh has been facing energy crisis in all sectors in need of electricity. The techno-economical and policy making challenges are the main barrier of renewable energy sources installment in Bangladesh. But in recent years, Bangladesh has achieved notable progress in the development of its renewable energy industry. Bangladesh produces 723.26 MW of electricity from renewable sources, which include 67.61% solar, 31.80% hydro, and 0.58% wind, biogas, and biomass. Of these, 489 MW are produced by more than 6 million (63, 25, 278) installed solar cells. This assessment offers a thorough examination of the nation's present renewable energy situation, stressing both the fundamental difficulties and noteworthy successes. The research reviews the many renewable energy sources, such as hydropower, biomass, mechanical vibration, wind, and solar electricity, and assesses how much of each the country needs to use. Analyzing the legal and policy environment that governs renewable energy in Bangladesh, the research highlights the necessity of focused measures to remove current obstacles. It talks about how overcoming obstacles and promoting sustainable growth can be accomplished through international cooperation and financial assistance. The research also looks at the socioeconomic effects of renewable energy programs, considering how they may affect employment and electrification in rural areas. The analysis provides an outlook on the prospects of the renewable energy sector in Bangladesh. Emerging technologies, possible market trends, and innovative prospects are covered. To assist stakeholders, investors, and legislators in navigating the shift to a more resilient and sustainable energy future, recommendations are offered. With an emphasis on highlighting successes and outlining challenges, this research provides a thorough analysis of Bangladesh's renewable energy industry. Bangladesh may establish itself as a regional leader in the adoption of renewable energy sources and support international efforts to mitigate climate change by recognizing the obstacles of the present and laying out a plan for future development. This research will help to the researchers and policymakers for making more renewable energy in Bangladesh without facing any difficulties.
Comprehensive Overview of Optimization Techniques in Machine Learning Training
Authors: Karthick K.
Published: November 2024

This article offers a comprehensive overview of optimization techniques employed in training machine learning (ML) models. Machine learning, a subset of artificial intelligence, employs statistical methods to enable systems to learn and improve from experience without explicit programming. The paper delineates the significance of optimization in ML, emphasizing its role in adjusting model parameters to minimize loss functions, thereby ensuring efficient model training and improved generalization. The discussion encompasses various optimization methods, including Gradient Descent Variants, Adaptive Learning Rate Methods, Second-Order Optimization Methods, Regularization Methods, Constraint-based Methods, and Bayesian Optimization. Each section elucidates the principles, applications, and benefits of these techniques, highlighting their relevance in addressing challenges such as overfitting, scalability, and computational efficiency. The article aims to guide researchers, practitioners, and enthusiasts in navigating the complex landscape of optimization techniques tailored for diverse machine learning algorithms and applications.
Efficient Power Management Strategy and Challenges of Hybrid Renewable Energy Based Electric Vehicles - A Review
Authors: Zaman Md Rakibur , Hoque Md Reazul , Hussain Md. Naeem , Ali Md Shopan
Published: November 2024

Forging a new paradigm in the automobile industry, hybrid electric vehicles (HEVs) coupled with renewable energy sources are a result of the increased focus on sustainable transportation. To better understand the difficulties involved in deploying hybrid renewable energy-powered electric vehicles, this article explores effective power management solutions. Power management techniques that are complex are required when integrating renewable energy sources, including solar and wind, with hybrid electric vehicles. Although the use of renewable energy in electric vehicles appears promising, several obstacles prevent widespread use. This study tackles dynamic difficulties such as the requirement for robust energy management systems, the intermittent nature of renewable energy sources, and the limited storage capacity aboard. The paper outlines new technological developments that aim to improve the incorporation of renewable energy sources into electric vehicles as a solution to the issues that have been highlighted. This review addresses the challenges associated with incorporation of renewable energy and electric vehicles.  Addressing the challenges requires collaboration among stakeholders, technological advancements, and supportive policies to foster the widespread adoption of sustainable transportation solutions. The study highlights the effectiveness of various power management systems through case studies that show how hybrid renewable energy-based electric vehicles are used in the real world. The effective power management techniques and difficulties related to hybrid electric vehicles powered by renewable energy sources are thoroughly examined in this research. It adds to the current conversation on sustainable transportation by tackling the ever-changing problems and putting forward creative solutions, which could influence developments that could influence the direction of electric mobility in the future. The optimal utilization of energy provided from renewable sources, such solar panels or wind turbines, is ensured by effective power management. A cleaner and more sustainable transportation system is made possible by an effective power management plan, which maximizes the use of renewable energy. HREVs can benefit from the best grid conditions, electricity costs, and charging periods when they are integrated with smart charging infrastructure.
A Review on Attacks against Artificial Intelligence (AI) and Their Defence Image Recognition and Generation Machine Learning, Artificial Intelligence
Authors: Hossain Md. Tarek , Afrin Rumi , Biswas Mohd. Al- Amin
Published: November 2024

The main objective this paper is to review the adversarial assaults, data poisoning, model inversion attacks, and other methods that potentially jeopardize the integrity and dependability of AI-based image recognition and generation models. As artificial intelligence (AI) systems become more popular in numerous sectors, their vulnerability to attacks has arisen as a major worry. We focus on attacks especially targeting AI models used in picture identification and creation tasks in our review study. We investigate the wide range of assault strategies, including both traditional and more complex techniques. These attacks take use of flaws in machine learning algorithms, frequently resulting in misclassification, falsified picture production, or unauthorized access to sensitive data. We survey numerous defense strategies developed by scholars and practitioners to overcome these difficulties. Among these defenses are adversarial training, robust feature extraction, input sanitization, and model distillation. We explore the usefulness and limitations of each protection mechanism, highlighting the importance of a comprehensive approach that integrates numerous techniques to improve the resilience of AI models. Furthermore, we investigate the possible impact of these attacks on real-world applications such as driverless vehicles, medical imaging systems, and security monitoring, emphasizing the threats to public safety and privacy. The study also covers the legislative and ethical aspects surrounding AI security, as well as the responsibilities of AI developers in establishing adequate defense measures. This analysis highlights the critical need for continued research and collaboration to develop more secure AI systems that can withstand sophisticated attacks. As AI evolves and integrates into important areas, a concerted effort must be made to strengthen these systems' resilience against hostile threats and assure their responsible deployment for the benefit of society.
Integrating Micro and Smart Grid-Based Renewable Energy Sources with the National Grid in Bangladesh - A Case Study
Authors: Zaman Md Rakibur , Halim Md Abdul , Khan Md. Yakub Ali , Ibrahim Salah , Haque Abrarul
Published: November 2024

The worldwide quest for sustainable energy solutions has led to a thorough investigation of the integration of renewable energy sources based on micro and smart grids into national electricity systems. This case study focuses on Bangladesh's particular situation, as a nation attempting to find workable solutions to its energy problems. The study explores how cutting-edge smart grid technology and decentralized energy systems, such as microgrids, can be integrated to improve the country's energy environment. The report commences by evaluating the current condition of Bangladesh's national grid, outlining the obstacles that still need to be overcome, and stressing the importance of having a variety of reliable energy sources. After that, the emphasis switches to microgrids, where their potential to support energy autonomy, harvest renewable energy locally, and lessen load on the centralized grid is examined.  A thorough analysis of the technical, financial, and legal factors is carried out, considering how well micro and smart grid technologies work with the country's grid infrastructure. A case study that highlights a particular implementation in a chosen area of Bangladesh provides useful information. To assess the effectiveness and difficulties of the integration process, key metrics such the penetration of renewable energy, grid stability, and economic viability are described. In addition to providing resilience against power outages, increasing energy efficiency, and promoting a sustainable energy ecosystem, the results highlight the potential advantages of a synergistic strategy in which micro and smart networks supplement the national grid. Regulatory framework, technology standardization, and community participation challenges are all noted, and these call for the implementation of policy interventions and strategic planning. This case study provides insightful information about how Bangladesh's national system integrates renewable energy sources based on micro and smart grids. In the context of a developing nation's energy transition, it advocates for a comprehensive approach that considers technological breakthroughs, economic viability, and regulatory frameworks to unlock the full potential of decentralized and smart grid solutions.
A Comprehensive Review of Integrated Energy Management for Future Smart Energy System
Authors: Ali Md Shopan , Sharma Anik , Joy Tamal Ahammed , Halim Md Abdul
Published: November 2024

The main objective of this paper is to review the integration of energy management for future smart energy systems. The authors hope to address the developing landscape of energy management in the context of new smart energy systems in this review. The paper conducts a thorough review of integrated energy management methodologies that maximize energy generation, consumption, and distribution within these systems. The study assesses the multifarious solutions that enable effective and sustainable energy consumption by considering many components such as renewable energy sources, storage technologies, demand-side management, and grid interactions. The authors present insights into the problems and opportunities inherent in realizing the potential of future smart energy systems through an in-depth assessment of recent research, case studies, and advances in energy management. The assessment focuses on the inherent problems and opportunities associated with pursuing integrated energy management in smart energy systems. The application of cutting-edge sensing, communication, and control technologies to electrical grids has been studied to increase resilience, efficiency, and dependability. Real-time monitoring, analysis, and optimization of energy flows are made possible by the integration of cutting-edge sensors, communication systems, and control algorithms into electrical grids. Variable renewable energy sources, such solar PV and wind power, may now be seamlessly integrated into the grid thanks to advancements in renewable energy integration technologies. Case studies have shown how smart grid technologies can optimize energy management and save system costs. Integrating various DERs into grid operations has been the main focus of advancements in energy management. The paper navigates through the intricate considerations that stakeholders must make to maintain the resilience and sustainability of future energy systems, from dealing with the intermittent nature of renewable sources to maximizing energy dispatch mechanisms. The study reveals the revolutionary potential of a holistic approach to energy management by studying the changing role of digital technologies, data analytics, and predictive algorithms. Finally, this review contributes to a better knowledge of integrated energy management techniques, opening the path for a more robust, responsive, and environmentally friendly energy landscape.
Analysis of Different Control Approaches for a Local Microgrid: A Comparative Study
Authors: Haque Abrarul , Kholilullah Ibrahim , Sharma Anik , Mohammad Ashif , Khan Saidul Islam
Published: November 2024

An analysis that contrasts various methods for managing a microgrid's operations in a community context is known as comparison research on control strategies for community microgrids. The study's objectives are to evaluate the benefits and drawbacks of various control schemes and to pinpoint the best approach for enhancing the microgrid's performance. Control methods include islanded mode control, hybrid mode control, grid-connected mode control, and advanced control strategies that combine economic dispatch with optimum power flow are usually compared in the research. A comparison is established. Depending on elements including resilience, cost-effectiveness, efficiency, stability and dependability. The comparative study's findings shed light on the optimal control approach for a particular community microgrid taking into account the resources that are available, the local energy consumption, and other variables. This review also emphasizes the advantages of using advanced control systems, these systems maximize energy management, maintain grid stability, and improve overall system performance by controlling the intricate interactions among distributed energy resources (DERs), such as solar photovoltaics, wind turbines, energy storage, and conventional generators. Energy efficiency will be increase in rural locations with high solar radiation and limited wind power by using advanced methods and grid-connected mode management. Demand response reduces dependency on external grids and associated expenses while improving resilience. Customized control strategies are essential for maximizing community microgrid performance. There includes discussion of a number of control systems, including distributed control, grid-forming control, energy management and optimization, frequency and voltage regulation, islanded operation, and demand response.
A Comprehensive Study of Effects of Renewable Energy Based Electric Vehicles on Environment
Authors: Hossain Md. Taufiq , Khan Saidul Islam , Dodaev Zohar Al
Published: November 2024

This extensive study explores the environmental impact of electric vehicles (EVs) powered by renewable energy sources. This review also looks at how they might lessen air pollution, cut carbon emissions, and support environmentally friendly transportation networks. Renewable energy-powered electric cars (EVs) have become a viable substitute for conventional internal combustion engine automobiles as the globe moves toward greener energy sources and looks for ways to tackle climate change. This essay examines how adopting EVs would affect the environment, with particular attention to resource use, air quality gains, and greenhouse gas emissions. It examines how EVs' life cycle emissions compare to those of conventional cars, taking into account things like how cars are made, how electricity is produced, and how end-of-life disposal is handled. The study also looks at how renewable energy sources like solar, wind, and hydropower can be integrated into the electrical grid to power electric vehicles (EVs), emphasizing the mutually beneficial effects on the energy and transportation sectors. The study also addresses the possible opportunities and problems that come with the widespread use of EVs powered by renewable energy, including infrastructural needs, legislative incentives, and customer behavior. This study aims to provide important insights into the environmental implications of EVs powered by renewable energy, guiding decision-making processes, and shaping future strategies for sustainable transportation and energy transitions through a thorough analysis of the body of existing literature, empirical studies, and modeling approaches.
A Review on Employing Weather Forecasts for Microgrids to Predict Solar Energy Generation with IoT and Artificial Neural Networks
Authors: Islam Md Monirul , Akter Mst. Tamanna , Tahrim H M , Elme Nafisa Sultana , Khan Md. Yakub Ali
Published: November 2024

In this study, an artificial neural network (ANN) based approach is studied about the prediction of solar energy generation in a microgrid using weather forecasting. The ANN is trained using historical data of solar energy generation and weather forecast data. The input parameters for the ANN include weather variables such as temperature, humidity, wind speed, and solar irradiance. The output parameter is the solar energy generation in kilowatt-hour (kWh). The proposed approach is implemented and tested using real-world data from a microgrid. The results indicate that the ANN-based approach is effective in predicting the solar energy generation with high accuracy. The proposed approach can be used for optimizing the operation of microgrids and facilitating the integration of renewable energy sources into the power grid. This study proposes the use of an Artificial Neural Network (ANN) to predict the solar energy generation in a microgrid using weather forecast data. Weather forecasting has become more precise and dynamic with the integration of IoT data with advanced analytics and machine learning models. These models are quite accurate at predicting solar irradiance and analyzing patterns. The microgrid comprises of a photovoltaic (PV) system which generates solar energy and a battery storage system which stores and supplies the energy to the load. Accurate prediction of solar energy generation is crucial for optimizing management of the microgrid. The inputs to the ANN model include temperature, humidity, wind speed, cloud cover and solar irradiance, which are obtained from weather forecast data. The output of the model is the predicted solar energy generation. The performance of the ANN model is evaluated using various performance metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and Coefficient of Determination (R²). This study presents a practical approach for predicting solar energy generation in a microgrid using weather forecast data, which can be used for efficient management of the microgrid.
Impact of IoT and Embedded System on Semiconductor Industry A Case Study
Authors: Tareq Abdulla Al , Rana Md Juel , Mostofa Md Riad , Rahman Md Sadiqur
Published: November 2024

The fast growth of Internet of Things (IoT) devices and advances in embedded systems are causing major changes in the semiconductor business. Examining major trends, obstacles, and opportunities, this case study investigates how embedded systems, and the Internet of Things are affecting the semiconductor business. It explores how semiconductor technology has developed to satisfy the needs of Internet of Things applications, focusing on connectivity options, low-power design, and sensor integration. The report examines how technological advancements, competitive tactics, and market dynamics are reshaping the semiconductor industry. Because IoT devices are frequently integrated into wearable technology or deployed in remote areas, power efficiency becomes essential. Using sophisticated low-power design approaches and power management features, semiconductors must be engineered to function with the least amount of power possible. Miniaturization of semiconductor technology is required due to the requirement for increasingly compact and smaller devices in embedded systems and the Internet of Things. The strategic implications for semiconductor businesses navigating this dynamic ecosystem are highlighted by drawing insights from industry data, market analysis, and case studies. Through an analysis of actual cases and market developments, this case study offers insightful insights into the changing role of semiconductor technology in facilitating the Internet of Things revolution.
A Review on Integration Challenges for Hybrid Energy Generation Using Algorithms
Authors: Aziz Tareq , Dodaev Zohar Al , Halim Md. Abdul , Khan Md. Yakub Ali
Published: November 2024

The main objective of this paper is to review the challenges associated with the integration used in multiple energy generation from renewable energy sources. There are a number of obstacles that must be overcome for the successful integration of various energy sources and storage technologies in a hybrid energy generation system. Algorithms are very crucial for multiple energy generation due to the integration of renewable energy sources, optimum resource allocation, load balancing, system stability and real time decision making. Demand response, load forecasting, and intelligent decision-making algorithms are examples of successful management tactics that may be used to allocate power from various sources according to availability and cost-effectiveness. To operate effectively, algorithms must take into consideration many variables such as state of the batteries, load changes, and weather. The difficulties with circuit design, algorithm design, source management and switching control in hybrid energy generation systems with numerous sources are covered in this paper. These difficulties include maximizing power generation and usage from each source, dynamic power output adjustment based on energy availability and demand, and smooth source changeover. The paper emphasizes how crucial integration of renewable energy sources, using proper algorithm and switching control among energy sources are for successfully integrating various energy sources. Voltage compatibility, current balance, and surge protection are among the difficulties in circuit design. Switching control techniques are very important fact to guarantee smooth switching between energy sources but minimizing power disturbance during source switching and maintaining a steady power supply throughout the process are challenges in switching control. The challenges in circuit and algorithm design for hybrid energy generation systems with multiple sources are highlighted in this review. Hybrid energy generation systems can accomplish effective use of renewable energy sources and contribute to a sustainable energy future by successfully overcoming these obstacles. Algorithms for optimization could be used to weigh environmental sustainability against economic viability while accounting for energy prices, carbon emissions, and lifecycle analysis.
Exploring the Therapeutic Potential of Cucurbita pepo Seed in Modulating Prostatic Biomarkers for Benign Prostatic Hyperplasia (BPH)
Authors:   Department of Medical Biochemistry, Faculty of Basic Medical Sciences, David Umahi Federal University of Health Sciences, Uburu, Ebonyi State, Nigeria., Alfred Nwuruku Olisa ,   Department of Biochemistry, Faculty of Science, Ebonyi State University, Abakaliki, Nigeria, Ama Ibiam Udu ,   Department of Biochemistry, Faculty of Science, Ebonyi State University, Abakaliki, Nigeria
Published: November 2024

Benign prostatic hyperplasia (BPH) is a common, progressive urogenital disorder that affects aging men, leading to a range of urinary and sexual health issues. As the incidence of BPH rises with age, the need for effective treatments without significant side effects has become a priority. Currently, available therapies such as 5-alpha reductase inhibitors, alpha-1 adrenergic antagonists, and antifungal drugs offer relief, but often come with limitations due to adverse effects. In recent years, Cucurbita pepo (pumpkin) seed has emerged as a potential natural treatment for BPH, with promising evidence suggesting it can modulate key prostatic biomarkers, reduce inflammation, and improve urinary symptoms. This review explores the therapeutic effects of Cucurbita pepo seeds on BPH, focusing on their bioactive compounds such as fatty acids, phytosterols, and antioxidants and their impact on prostatic growth and function. We discuss the molecular mechanisms underlying the beneficial effects of Cucurbita pepo seed extracts, clinical studies supporting their use, and the implications for incorporating such natural remedies into BPH management. Additionally, the review highlights the public health potential of Cucurbita pepo as a low-cost, sustainable, and patient-friendly option to complement conventional therapies, especially in aging populations.

Keywords: Benign Prostatic Hyperplasia (BPH), Cucurbita pepo seed, prostate biomarkers, natural treatments and inflammation
Prevalence and Risk Factors of Anemia among Women in Uganda: A Comprehensive Review
Authors:   Faculty of Science and Technology Kampala International University Uganda, Jumba K Kato
Published: November 2024

Anemia is a prevalent public health issue among women in Uganda, with significant implications for their health and socio-economic well-being. This comprehensive review examines the prevalence and risk factors of anemia among women, especially those of reproductive age, and identifies the multifaceted contributors to this condition. Nutritional deficiencies, particularly iron deficiency, are primary causes, exacerbated by limited access to iron-rich foods and food insecurity. Infectious diseases, such as malaria, hookworm, and HIV/AIDS, also contribute substantially to anemia by inducing red blood cell loss or impairing their production. Socioeconomic determinants, including education level, income, and access to healthcare, significantly impact anemia prevalence, as do reproductive factors like early pregnancies and high parity. This review synthesizes research on anemia among Ugandan women to highlight the urgent need for targeted interventions, including improved nutritional programs, enhanced malaria and deworming campaigns, and policy measures addressing socioeconomic barriers. By addressing the underlying determinants of anemia in Uganda, stakeholders can work toward mitigating its impact on women’s health, productivity, and community participation.

Keywords: Anemia, prevalence, risk factors, Uganda, women’s health, iron deficiency, reproductive health.
Study on traffic efficiency of driver groups at different green light time based on entropy change model
Authors: Li Xiaojuan , Guo Xinliang , Zhu Jingwen , Li Aijuan , Mao Yicheng , Zhang Zilin
Published: November 2024

The difference in psychological behavior when drivers cross the road has a certain impact on the efficiency of crossing the road. On the basis of analyzing the subjective and objective factors of drivers, the entropy change model of green light time is established and verified. The model can simply judge the time when the driver faces different traffic lights, so as to effectively calculate the drivers driving speed, analyze the traffic situation, and improve the traffic efficiency.
Financial Apps sebagai Media Edukasi Literasi Manajemen Keuangan
Authors: Dominika Dora Soge  , Novi Wijayanti  , Nur Annisa  , Rudi Sanjaya
Published: November 2024

In this digital era, in carrying out their activities humans will not be able to be separated from the use of technology that can help humans in completing their tasks or help humans meet their needs more easily, including the people of Indonesia. The low awareness of Indonesian people in terms of financial literacy will certainly have an impact on their ability to manage finances. This study aims to analyze the role of Financial Apps as a medium of financial management literacy education. The use of Financial Apps is increasingly widespread and provides convenience for people in managing finances. Through a literature study, this research reveals that financial literacy has a high relevance to financial management skills. Individuals with good financial literacy tend to be wiser in planning, managing and controlling their finances. In this case, Financial Apps play an important role in improving financial literacy by providing features that make it easier for users to record transactions, create financial reports, and analyze financial performance.
NÓS SOMOS AMERICANOS, PONTO: A (RE)CONSTRUÇÃO DA EXPERIÊNCIA DOS SOLDADOS SOVIÉTICOS E AMERICANOS NA SEGUNDA GUERRA MUNDIAL DA FRANQUIA DE JOGOS ELETRÔNICOS CALL OF DUTY (2003-2017)
Authors: Lima Dalton Santana , Grzybowski Lukas Gabriel
Published: November 2024

A franquia de jogos eletrônicos Call of Duty se tornou um fenômeno global nas duas primeiras décadas do século XXI, marcada por recordes de vendas, polêmicas políticas e pelo envolvimento do Departamento de Defesa dos Estados Unidos em suas produções. Nos títulos ambientados na Segunda Guerra Mundial, os jogos são compostos por narrativas de soldados que combatem nos fronts de batalha dos Aliados contra o Eixo em seus diversos teatros, representando conflitos e ambientes históricos nos quais o jogador atua através do protagonista – seja este americano ou soviético. Não obstante, tais narrativas são construídas com base em valores específicos que perpassam a experiência do jogador inserido no contexto do jogo, podendo assim apresentá-lo a uma perspectiva acrítica dos papéis e condutas dos soldados das diferentes nacionalidades que lutaram na guerra. Diante dessa problemática, os autores lançaram mão do conceito de “experiência”, do historiador Edward P. Thompson, para abordar as distintas formas em que os soldados americanos e soviéticos se apresentam ao jogador de acordo com momentos-chave das narrativas dos jogos. Desse modo, observou-se que ora o papel dos soviéticos é marcado pela brutalidade, ora é ofuscado ou até mesmo apagado em relação ao papel dos americanos nos avanços contra o Eixo. Em conclusão, aponta-se que a construção dos diferentes níveis de protagonismo que o jogador experiencia ao jogar pode, com efeito, moldar a percepção sobre a Segunda Guerra Mundial desse jogador enquanto sujeito histórico.
Dalcroze sempre polifônico: seleção e tradução de três textos originais
Authors: Madureira José Rafael
Published: November 2024

Tradução de três textos originais de Émile Jaques-Dalcroze (1865-1950), a saber: O espírito da educação musical (1930), Em resposta àqueles que confundem os exercícios públicos de ginástica rítmica de minhas alunas com exercícios de dança (1909) e Deveres e conhecimentos do professor de rítmica (1922). As temáticas abordadas nesses manuscritos, como se pode observar pelos títulos, são bastante variadas, revelando o caráter multifacetado do pensamento do autor, que transitou com audácia por diversos campos além da arte musical. Essas traduções são precedidas por uma apresentação, na qual o contexto histórico e biográfico do autor é discutido.
The Criticism of Human Rights Violations in Indonesia
Authors: Fernando Holqi Fikri Gali
Published: November 2024

This study aims to analyze the concept of human rights violations in Indonesia by identifying human rights violation provisions in Indonesia and human rights violations in Indonesia based on the Philosophy of Ethics. This study uses a qualitative approach with a type of library research. The data analysis technique uses the flow charts model. The theoretical analysis technique uses the Summa Theologiae by Thomas Aquinas and the Ethica by Baruch de Spinoza. The 1998 tragedy is included in the gross human rights violations in Indonesia. Especially Summa Theologiae and Ethica, the statement of the state administrator, in this case, is that the MENKO-POLHUKAM is far from the existence of moral values and ethical virtues. This is based on the absence of moral values that should lead to action as a decision-making agenda through ethics and intellectual traditions. In this regard, the MENKO-POLHUKAM cannot construct a rational nature in the context of basic choices being dominated by “lust” through “affectus”. So, it tends to lead to the “libertum atribium” being free. Ethically, the MENKO-POLHUKAM, as a state administrator, is required to do good deeds and be able to respect victims of human rights violations.
Gambler: Behavioural-Cognitive Treatment of Online Gambling Disorder. A Step-by-Step Treatment Guide
Authors: Chóliz Mariano , Marcos Marta
Published: November 2024

Gambler is a step-by-step guide for the psychological treatment of online gambling addiction based on the principles of learning psychology (classical and operant conditioning) and motivational psychology. It comprises 15 sessions arranged in five modules that aim to decondition and reduce gambling behavior and to promote alternative behaviors. In several sessions, patients are trained to recognize risk situations and develop strategies to avoid gambling. Information on gambling is given to raise awareness of the problem of gambling addiction and to facilitate the necessary shift in attitudes to prevent a return to gambling and foster a new lifestyle without it.
The treatment was applied to 40 patients diagnosed with online gambling addiction by 10 different therapists from eight different treatment centers. Of the 40 patients, 28 remained abstinent after one year of follow-up, indicating 70% efficacy. Most of the patients who did not benefit from the treatment abandoned it during the therapeutic process.