bluuebunny/crossref_metadata_2025 huggingface dataset:
Proposal for temporary safety facilities for fall protection using 4DBIM to meet OSHA standards
Authors:   Building Information Modeling and Management Master Programme, Syrian Virtual University, Dima Dima ,   Lecturer in the Master's Program in Building Information Modeling and Management at the Syrian Virtual University, Damascus, Syria, Saoud Lama
Published: May 2024

Temporary Safety Facilities (TSFs) constitute a vital support infrastructure ensuring the safety of workers throughout construction operations, with the overarching goal of averting accidents onsite; However, the schedule and location of installation and dismantling of technical support facilities is still based on work experience, and is often omitted from official drawings or documents. This leads to thousands of accidents in the construction sector, especially in small and midsize construction enterprises construction firms due to many limiting factors; Therefore, this study proposes automatic workspace planning for temporary safety facilities (in our case guardrails for fall protection) based on construction activities, which is a structured approach for SMEs working in construction to practice Occupational Health and Safety (OHSA). By employing Building Information Modeling (BIM), safety facilities can be simulated and visually incorporated into the assigned workspace. Utilizing 4D-BIM, the devised system facilitated the installation of temporary safety features, such as fall protection railings, which underwent validation via a case study involving a mall project. The results indicated that integrating temporary safety facilities with the model enhances comprehension of safety protocols throughout project execution. Additionally, temporary facility workspace planning provides an affordable approach that stimulates safety practices; Thus, significantly enhancing the management effectiveness of construction safety measures
The impact of AI-based cyber security on the banking and financial sectors
Authors:   Department of Information Technology, College of Computer and Information Sciences  Majmaah University Majmaah, 11952, Saudi Arabia, Haya Haya ,   Department of Information Technology, College of Computer and Information Sciences  Majmaah University Majmaah, 11952, Saudi Arabia, Mishra Shailendra
Published: May 2024

BD and AI are now transforming the banking and finance industry at a very fast pace, which is leading to change in the banking and finance institutions. This change is making them better, customer-oriented and financially rewarding organizations. Big data and AI have been useful in the banking and financial institutions to assess and manage the risks. Through the analysis of big amounts of unstructured data in real time, AI algorithms are capable of identifying risks. This makes it easy to put preventive measures in place to avert the risks. In addition, big data and AI have come a long way in solving the problem of fraud in banking and finance. This paper showed how big data and AI improve risk management, Cyber threat, and fraud in banking and finance by using data analysis and data pattern identification in real-time. That is why our work emphasizes the importance of implementing secure privacy and explaining the AI algorithm to eliminate ethical and Cyber security issues. Using analytical approaches, AI can identify the transactions with the help of comparison with the previous data and the behavioral characteristics related to the fraud. This approach to fraud prevention has been effective in reducing losses while at the same time improving the customer’s confidence in the company. On the other hand, there are disadvantages of big data and AI such as privacy, security, and ethical issues. Measures that can be used to safeguard customer information have to be employed in order to effectively safeguard the consumer data. Furthermore, transparency and accountability of the AI algorithms are crucial in order to avoid unfair decisions.
Research on the Influence Mechanism of the Agency Problem on Financial Stability from the Perspective of Economics and Sociology
Authors: Gan Yilu
Published: May 2024

The competence of the national economy depends on the reliability of the financial system, which is an inevitable mechanism utilized in developed market economies. This provides the reasoning, however, that agency problems in the financial system, because of information asymmetries and conflicts of interest, are the root of most financial crises. This paper aims to find out how the delegation problem arises and what financial stability loss in a market economy is from the viewpoint of economics and sociology. This article on inter-relations, influencing components, and the basis of economic agents' delegation debt to the systems stability is analyzed. Additionally, this article provides for the influence of the agency problems and the financial system stability, including the reasons and implications, as well as how we improve the efficiency and strength of the financial system and optimize corporate governance simultaneously. This research paper integrates economic and sociological schools of thought to examine the agency dilemma in the financial system and the implications of this problem for financial stability. Since the study explains how agency problems affect decision-making, it aims to make the economic system more effective and sustainable.
Comparative Research of the Two International Financial Centers of Hong Kong and Singapore
Authors: Zeng Zhihao
Published: May 2024

The purpose of this paper is to conduct an in-depth study and comparison of the status and characteristics of the two major financial centers in Asia, Hong Kong and Singapore, in the international financial market. Research methods of qualitative analysis and quantitative statistics are applied to compare and analyze the geopolitical environment, regional economic background, policy support, international image, and relationship and cooperation with neighboring regions of Hong Kong and Singapore. The study finds that Hong Kong and Singapore each exhibit unique strengths and challenges. Hong Kong holds an important position in terms of the size of the international financial market and trading activities, while Singapore has an increasingly prominent role in fintech innovation. In addition, Hong Kong's close financial ties with Mainland China and Singapore's diverse cooperation with the rest of Asia have earned both places a unique position in the global financial landscape. These findings provide valuable leadership ideas for understanding the dynamics of Asia's financial markets and for policymakers around the world as they navigate their relationship with international financial markets.
Cross-Border Toy Supply Chain Management from a Global Perspective
Authors: Lu Huang
Published: May 2024

Over the past few decades, the wave of globalization has dramatically changed the landscape of production and consumption, including the toy industry. This paper delves into the contemporary landscape of cross-border supply chain management within the toy industry, meticulously examining the principal challenges it faces and the lucrative opportunities it presents. Through a rigorous analysis of the toy supply chain amidst the backdrop of globalization, this paper identifies the pivotal factors that influence both efficiency and sustainability. Based on our findings, we formulate countermeasures aimed at addressing these challenges. The discussion is centered on strategies for optimizing supply chain management and bolstering competitiveness, emphasizing technological innovation, fostering greater transparency within the supply chain, strengthening partnerships, and ensuring compliance with international trade regulations. By doing so, it aims to contribute to the advancement of supply chain practices in the toy industry, ensuring its resilience and success in the global market.
Application of Hypothesis Test in Studying Chinese Electric Vehicle Battery Stock Market
Authors: Lu Mingcheng
Published: May 2024

Hypothesis test is a basic method in statistics and is the foundation for many superior methods. It has a wide range of applications in many subjects. Specifically, hypothesis test can be used to find connections and make predictions basing on known information when studying stock market. This article will mainly focus on the application of t-test and bootstrap hypothesis test in studying Chinese electric vehicle battery stock market, a stock market that is complicated and hard to study when using traditional methods. The effectiveness of the two methods will be tested by being used to study the distribution of P/E ratio of stocks in the market. It shows that bootstrap hypothesis test is a more reliable and effective method while t-test relies severely on some unrealistic assumptions and cannot reach at a conclusion at times. Finally, some conclusions will be made based on bootstrap hypothesis test and will also be examined to further confirm its accuracy.
Analysis of Credit Default Prediction Based on Logistic Regression, Random Forest and KNN Model
Authors: Wen Yutong
Published: May 2024

Addressing the prevalent issue of limited access to loans for individuals with inadequate or non-existent credit histories is imperative to foster financial inclusion and safeguard vulnerable populations from unscrupulous lenders. With the help of unique characteristics, this research seeks to improve financial accessibility for the unbanked population by creating a safe and satisfying financing environment. The paper uses an imbalanced dataset that was gathered from Kaggle to examine how machine learning techniques can be applied to forecast credit risk. specifically, Logistic Regression, Random Forest, KNN, and Synthetic Minority Over-sampling Technique (SMOTE) are utilized in this study. The findings reveal an enhancement in accuracy following the resolution of the imbalanced dataset challenge. By employing these machine learning models, the research seeks to not only bridge the credit gap for the underserved but also mitigate the risks associated with lending to individuals lacking conventional credit histories. A thorough strategy for managing credit risk in the context of financial inclusion is shown by the investigation of different algorithms and the application of methods. These results contribute to the discourse on leveraging machine learning to create more equitable lending practices, ensuring that the unbanked population can access financial resources responsibly.
Classical Strategic Planning May not Be Adequate for a Fast-changing IT Environment
Authors: Zhao Yue
Published: May 2024

There are many technical tools and models to assist management in strategic planning process to better realise a businesss strategy. Some classical strategic planning tools are widely used in practice. They bring many benefits, but their limitations should not be overlooked. This essay discusses the five classical strategic planning models - PEST analysis, SWOT analysis, Scenario analysis, Porters Five Forces Model, and Growth-share Matrix. To apply these classical strategic planning methods in a fast-changing IT environment, some of the limitations, may it be due to narrow application it initially was designed for, or the changes in macro business environments, or the increased paces in those changes, suggest that the traditional usage of those classical strategic planning methods may not be adequate to achieve the ideal outcomes.
An Analysis of the Application of Criminological Theories in Managerial Decision-making: The Case of Uber
Authors: Geng Haoyang
Published: May 2024

This paper uses Uber as a case study to explore the application of criminological theories in managerial decision-making. In recent years, the intersection of business operations and criminal behavior has garnered significant attention, particularly in emerging technology-driven industries like ride-sharing. This study delves into the theoretical frameworks offered by criminology to understand and analyze managerial decisions within Uber, a company known for its disruptive business model and occasional legal controversies. By examining the application of criminological principles such as rational choice theory, strain theory, and social control theory, this research aims to shed light on how these theories can inform managerial decision-making processes. Through a comprehensive analysis of Uber's practices, policies, and responses to various challenges, this study provides insights into the effectiveness of criminological perspectives in guiding decision-making practices within contemporary organizations.
The Method for Keeping Micro and Small Enterprises Development Sustainable
Authors: Wang Jinglin
Published: May 2024

In recent decades, there has been an increasing number of micro and small enterprises (MSEs), along with a faster tendency in their development. Furthermore, the development of job possibilities, national tax revenue, and the nation's economy have all benefited greatly from the efforts of micro and small enterprises. Micro and small enterprises must contend with a challenging environment in order to survive, and most struggle to stay in business for an extended period of time. This article uses a literature review method to identify, compare, and analyze a huge amount of journal literature in order to investigate opportunities and strategies for the sustainable development of micro and small enterprises. From the perspective of financial institutions, the government, and micro and small enterprises, help them make the most of the unfavorable credit environment and foster talent and innovation.
Research on Stock Price Prediction Based on LSTM Model and Random Forest
Authors: Qi Yuxuan
Published: May 2024

In this study, cutting-edge methods of applying deep learning techniques to stock market predictions were explored, specifically focusing on the stock data of Tesla Inc. Long Short-Term Memory networks (LSTMs), an advanced form of Recurrent Neural Networks (RNNs) capable of effectively addressing the issues of vanishing and exploding gradients that traditional RNNs face, were employed. This enhances the model's learning capability and predictive accuracy for time series data. The innovation of this research lies in the integration of the LSTM model with the Random Forest algorithm, forming a hybrid model aimed at leveraging the complementary strengths of both models to improve the accuracy of stock price predictions. Through empirical analysis of Tesla's stock data, it was found that the hybrid model outperformed the individual LSTM model. This result not only proved the effectiveness of LSTMs in handling complex time series prediction problems but also demonstrated the potential of enhancing predictive performance by integrating different types of models. The findings offer a new perspective for financial market analysis and prediction, especially in the use of deep learning technologies for stock price forecasting. They provide valuable references for future research and practice in this field. Further investigations could explore the applicability of this hybrid approach to other financial instruments and markets.
Exploring Efficient Quantitative Trading Strategies: A Comprehensive Comparison of Momentum, SMAs and Machine Learning
Authors: Duan Liran
Published: May 2024

To provide an objective analysis, this study examines three quantitative trading strategies: Momentum, Moving Average Crossover, and Machine Learning individually but in a common methodological setting. In order to achieve higher returns at lower levels of risk due to the advent of algorithmic trading, such strategies must be explored. The two strategies that we analyze include the Momentum strategy that capitalizes on the persistence in price trends and the Moving Average Crossover strategy that relies on average price movements as trading signals. In addition, in this study, Machine Learning methods are applied which implement predictive algorithms to predict the price movements in the future based on their historical patterns. In order to assess the performance of each strategy, this investigation relies on one data set and uses a series of financial metrics to see how well each strategy performs with the objective of identifying both strengths and weaknesses that these strategies exhibit within different market situations.
Research on the Features and Functions of Bitcoin and Digital Currencies
Authors: Yu Boyan
Published: May 2024

Since the creation of Bitcoin in 2008, these digital currencies have not only attracted widespread attention from the public and economists, but have also triggered a rethinking of the nature of money, the store of value, and the modes of exchange. This paper explores the transformative impact of Bitcoin and digital currencies on global finance, emphasizing their emergence as a challenge to the traditional concept of money and a paradigm shift. Furthermore, the paper delves into the birth of Bitcoin, its decentralized nature and its pioneering role in the field of digital currencies, discusses the historical background, technological underpinnings, and monetary functions of digital currencies, and highlights the potential and challenges of their integration into the financial system. It aims to examine the characteristics and functions of bitcoin and digital currencies in the contemporary financial landscape, focusing on how they can challenge traditional monetary policy as an emerging financial asset, as well as their potential impact and integration challenges in the global economic system.
Enabling ZARAs Operational Innovation and Value Creation with Artificial Intelligence
Authors: Cao Jiaqi
Published: May 2024

As a globally recognized fashion label, ZARA is famous for its quick fashion designs and efficient supply chain management. However, to stay competitive in an age of rapid technological advancement, ZARA must continuously innovate and leverage technology to enhance its operations. This paper primarily explores the following aspects: Firstly, how artificial intelligence is utilized by ZARA to achieve swift responses and adaptable methods in the design and production processes; Secondly, how artificial intelligence is employed by ZARA to optimize supply chain management, enhance production efficiency, and mitigate inventory risks; Lastly, it will analyze the operational model of ZARA as a source of inspiration for fast fashion enterprises and its relevance to other industries. After conducting thorough analysis and research on the integration of science and technology in ZARA's operations, this study has arrived at the following conclusions: ZARA effectively utilizes artificial intelligence to swiftly respond to market demands and make flexible adjustments, thereby enhancing its ability to meet customer needs. AI also enhances the efficiency and reliability of ZARA's supply chain management, leading to improved production efficiency and reduced inventory risk. By leveraging AI, ZARA can offer personalized shopping experiences to customers, ultimately boosting satisfaction levels and fostering loyalty. This paper delves into how technology drives operational innovation and value creation at ZARA, offering valuable insights for other fashion brands while serving as an empirical case for research in the realm of science, technology, and operations management.
Research on Measurement of Direct ICT-enabled Social Carbon Reduction
Authors: Weng Yonglian , Yang Tianjian
Published: May 2024

With the introduction of the concept of low-carbon economy, all countries in the world strive to achieve the coordinated development of economy, energy conservation and emission reduction. China has also announced its plan to the world to achieve carbon emission reduction. However, most places in China have not yet reached the stage of coexistence of low-carbon and economic development .and the emergence of information and communication technology has brought hope for the realization of this "win-win" goal. This paper synthesizes the three major international carbon emission reduction measurement standards and quantifies the potential of direct ICT-enabled social carbon reduction in combination with the research on the products of China Telecom Operator A, and forecasts the carbon reduction of Operator A in 2025 and 2030 in combination with its future business development. This study provides a reference for Chinese telecom operators to better realize the market expansion of low-carbon products.
The Impact of Social Media and Electronic Literature on Literary Studies, Language Learning and Acculturation: A Study Conducted in South India
Authors: John Aby , George Emil
Published: May 2024

This research aims to explore the impact of social media and electronic literature on young individuals' lives, especially in literary studies, foreign language learning and acculturation. The samples for the study were taken from young people in selected colleges in three South Indian states namely Kerala, Tamil Nadu and Karnataka. The objectives of this study were to determine the role of social media in the day-to-day life of youngsters, analysing major reasons behind social media usage, the role of social media and electronic literature in literary studies, foreign language learning and teaching, its impact on education and moulding language skills, and the extent to which it influences social change and acculturation. For the data collection, a structured survey questionnaire was prepared and distributed among the students. Purposive sampling was the sampling strategy used to collect the data and 355 samples were collected. A five-point Likert scale was used in the questionnaire. The researcher employed various statistical tools and methods like percentage analysis, graphical analysis, and descriptive statistics to have a proper analysis of the collected data. Qualitative analysis was carried out using discourse analysis and grounded theory analysis. It is observed that social media and digital technology have a pivotal impact on the lifestyle of the youngsters. Digital media act as a means for English language development and electronic literature helps to enhance the mode of language teaching and make the classes interesting. Electronic literature tremendously supports literary studies, education and related initiatives.
RASTRAMENTO DO PROCESSO COGNITIVO EMPREGADO PARA DECIDIR:
Authors: Sampaio Gois Elieuton , Carlos Carús Guedes Jefferson
Published: May 2024

Conceitua-se “fundamento” para efeito de apreciação documprimento do dever de fundamentação das decisões judiciais,imprescindível à promoção de segurança jurídica em um cenárionecessariamente participativo e legítimo. Na fundamentação dasdecisões judiciais, deve-se responder mediante explicação todas
as alegações levadas aos autos, pois somente assim possibilita-se compreender o processo cognitivo empregado para a tomada
das decisões, base do devido processo legal substancial. Paratanto, metodologicamente, via exposição dos identificadores dafundamentação como etapa decisória, relacioná-la a garantiascomo defesa ampla, contraditório e devido processo legalsubstancial, procura-se: apresentar sua estrutura e natureza, estaexplicativa e justificadora, a fim de demonstrar, pelo métododedutivo, em toda a conformação do texto, que responder a todasas alegações das partes, além de representar o real propósitoconstante no art. 93, IX, CF/1988, coaduna-se com o direito àrazoável duração do processo (art. 5o, LIV, CF/1988).
ATOS NOTARIAIS ELETRÔNICOS – E-NOTARIADO:
Authors: Ferreira Rosana de Cássia , Goretti Ricardo
Published: May 2024

Com o advento da Covid-19 no Brasil, houve anecessidade de confinamento da população. Com isso, diversossetores foram afetados, inclusive o Judiciário. Buscou-se novosmeios de solução de controvérsias, incluindo as vias extrajudiciaise o uso de novas tecnologias. Surgiu, assim, o Provimento n°100/2020 do Conselho Nacional de Justiça (CNJ), que dispôssobre a prática de atos notariais eletrônicos pelos tabelionatosde notas. Este estudo verifica as seguintes questões: a plataformado “E-notariado”, implementada a partir do Provimento n° 100,alcançou os patamares desejados para ampliar o direito de acessoà justiça? Houve continuidade, no período pós pandêmico, do usodesta ferramenta? Tem-se como objetivo analisar a efetividadedo “E-notariado”, como forma de ampliação do acesso à Justiça.A pesquisa se justifica em virtude da necessidade constante deampliar os recursos para o acesso à justiça e de promover adesjudicialização. Para tanto, recorreu-se à pesquisa bibliográfica– pautada nos autores Cappelletti, Garth, Watanabe entre outros;e à pesquisa documental – por meio dos relatórios “Cartórioem Números”. O método de pesquisa foi o hipotético-dedutivo.Com efeito, viu-se que a plataforma “E-Notariado” foi exitosa,trazendo celeridade e praticidade para os cidadãos, permitindo,assim, a ampliação do acesso à justiça.
An analytical view on Unmanned Aircraft Systems
Authors: Sharma Arunima
Published: May 2024

Unmanned Aircraft Systems (UAS) is a booming technology with a future perspective and does have a huge potential to transfigure warfare and enable up-to-date civilian applications. It furthermore matures in a technological way as to be impinged into the civil society. In 2010, the importance of scientific applications in the respective field was demonstrated by DOD in the contemporary years. In recent years, UAS has played an integral role in a number of missions that are public, like law enforcement, which is local, board surveillance, weather monitoring, wildlife surveys, and military training. UAS do force some challenges that are numbered as lacking a pilot who is on-board in order to see and hence avoid supplemental aircraft, and furthermore, the extensive discrepancy in the missions related to UAS, and in order to implement the operations in the NextGen time frame impinged in NAS, the capabilities of the respective topic must be communicated. The applications of UAS are numbered as Ariel Mapping and Meteorology, intelligence, remote sensing, surveillance and reconnaissance, environmental monitoring and agriculture, border security, security applications and law enforcement, counter insurgency, electronic attacks, attack strikes, communication relays, target identification, and designation. Via this survey paper, it can be concluded that UAS is emerging as a valuable and helpful technology having tremendous potential for revolting warfare and enabling new applications w.r.t the UAS field.
Climate Change and its Impact on Animal Health: Adapting and Mitigating the Risks
Authors: Eissa Mostafa
Published: May 2024

Climate change is a critical global issue affecting animal health, with rising temperatures and erratic weather patterns posing new challenges. Animals play a vital role in maintaining ecosystem balance and biodiversity, and their health can be affected by climate change-induced disruptions. Strategies to mitigate these risks include sustainable agricultural practices, research for vaccines and treatments, and implementing proactive measures. Climate change can increase the risk of disease transmission, invasive species, and disrupt ecosystems, leading to decreased reproductive success and population dynamics. Preventative measures include surveillance, vaccination programs, and habitat management. Adaptation strategies for animal health include implementing sustainable agricultural practices, investing in research and development, and promoting biodiversity preservation. To combat diseases, adaptation strategies for animal health should focus on enhancing disease surveillance, promoting biosecurity measures, and improving veterinary healthcare services. These strategies include robust disease surveillance systems, strict quarantine protocols, proper hygiene practices, and educating farmers about biosecurity. Vaccination programs, heat stress management techniques, and wildlife corridors can also help prevent vector-borne diseases, protect livestock and domesticated animals, and ensure the survival of threatened species. Mitigation strategies should also be implemented to protect animal populations and human health.
ADVANCES IN THE ANTIBACTERIAL AND THERAGNOSTICS ACTIVITIES OF NANO-METALLOBIOTICS
Authors: Usman Nazeef , Faruk Umar , Iliyasu Mahmud , Wali Muazzam , Kobbe Amina
Published: May 2024

Background: Nanoparticles exhibit unique properties such as wide surface area, diverse shapes, and antimicrobial activities. The urgent need for effective antimicrobial agents, particularly against multidrug-resistant strains, has led to extensive research on the antibacterial activities of nanoparticles.

Objective: This review explores the antibacterial properties of carbon nanoparticles, carbon nanofibers, as well as metal and metal oxide nanoparticles. Aimed to demonstrate the advances in nanoparticles antibacterial effects by inducing lipid peroxidation, disrupting cell membranes, and causing cytoplasmic leakage.

Method: We review articles published in reputable journals from 2022-2023 related to that antibacterial activity of carbon, metals and metal oxides. Emphasis was given to the antibacterial mechanisms involve the release of ions, leading to generation reactive oxygen species, lipid peroxidation, and cell disruption.

Results: Nanoparticles advances in photochemical sensing, photodynamic, fluorescent probes, gas probes using carbon dots, and surface functionalization. Other advances include Quartz crystal microbalance (QCM) DNA sensors with fluorescence, electrochemical, and surface-enhanced Raman scattering properties, utilization of aggregation-induced emission luminogens (AIEgens), in fluorescent tracing of microorganisms and photothermal treatment, generating reactive oxygen and/or heat upon light irradiation. Azide-Vancomycin nanoparticle conjugate for detecting outer-membrane permeabilization of gram-negative bacteria are discussed. Functionalized Carbon Dots also exhibit antimicrobial properties through photothermal activation. The review highlights the potential of these advances in developing alternative antibiotics effective against resistant strains.

Conclusion: The comprehensive exploration of diverse nanoparticles and their antibacterial mechanisms provides valuable insights for the development of alternative antimicrobial agents in the face of increasing antibiotic resistance.
İnternet Kullanımı Kaynaklı Sorunlara İlişkin Yayınlara Yönelik Bir İçerik Analizi
Authors: Turan Eroğlu Dilek , Ayaz Ferihan , Ayaz Hakan
Published: May 2024

Özellikle teknolojik gelişmelerin giderek daha da yaygınlık kazanması ekrana maruz kalma, problemli internet kullanımı, dijital tükenmişlik, internet bağımlılığı, dijital stres/teknostres, uzaktan eğitim kaynaklı sorunlar gibi pek çok soruna zemin oluşturmaktadır. Bu çalışmada çeşitli veri tabanlarından elde edilen araştırmanın bağlamına en uygun olduğu düşünülen 100 çalışma (makale, kitap bölümü, tez vb.) nicel ve nitel içerik analizi teknikleri aracılığıyla irdelenmiştir. Çalışmanın sonucunda internet kaynaklı sorunların özellikle 2010’dan sonra daha fazla çalışmalarda konu edildiği ortaya çıkmıştır. Bu çalışmalarda ağırlıklı olarak ergenlerin ve öğrencilerin söz konusu sorunlara daha çok maruz kaldıklarına işaret edilmiştir. Ayrıca yalnızlık, depresyon, siber zorbalık gibi temaların söz konusu çalışmalarda sıklıkla ele alındığı ortaya çıkmıştır. Çalışmalarda veri toplama aracı olarak daha çok anket ve ölçeklerin kullanılması çalışmaların nicel yöntem ağırlıklı olduğunu ortaya çıkarmıştır. Araştırmaların sonuçları bağlamında ise özellikle sosyalleşme, farkındalık eksikliği gibi sorunlardan kaynaklı olarak internete ilişkin sorunlar yaşandığı vurgusunun sıklıkla ifade edildiği söylenebilir. Özetle internet kullanımı kaynaklı sorunların bilişsel ve psikolojik pek çok sorunu ortaya çıkardığı yapılan alanyazın incelemesinde ortaya konmuştur. Bu sorunların çözümünün daha fazla farkında olmakla, dijital alanda tedbirli, korunaklı ve yer yer kurallı olmakla mümkün olduğu bulgulanmıştır.
Photoluminescence properties of zinc oxide nanostructures: A review
Authors: Mondal Oindrila
Published: May 2024

Zinc oxide (ZnO) nanoparticles have been extensively studied due to its extraordinary band gap, unique optical, acoustic and electronic properties. It finds applications in numerous fields like solar cells, sensors, photocatalyst, biomedical field, bioimaging, and many others. This review article summarizes various physical and chemical processes used to synthesize of ZnO nanostructures and their applications in various fields. It also discusses the photoluminescence properties of nanostructures and the possible mechanism behind the interesting visible emissions.
O PAPEL DO ENFERMEIRO EM EDUCAÇÃO EM SAÚDE NO PLANEJAMENTO FAMILIAR
Authors: Nascimento Liliane Oliveira da Silva , Silva Neila Marques da , Guerreiro Thayanne Sá Bezerra
Published: May 2024

Introdução: O papel do enfermeiro na educação em saúde no contexto do planejamento familiar é crucial para a promoção da saúde reprodutiva e o bem-estar das famílias. Objetivo: Analisar o papel do enfermeiro na educação em saúde voltada para o planejamento familiar. Metodologia: este estudo revisou a literatura sobre as intervenções e estratégias eficazes adotadas por enfermeiros no planejamento familiar. Utilizando as bases de dados BVS, Periódico CAPES e revistas científicas, foram analisados 48 artigos, dos quais 12 atenderam aos critérios de inclusão. Os Resultados: os resultados indicaram que os enfermeiros desempenham um papel fundamental na implementação de programas educativos e na comunicação com os pacientes, utilizando abordagem holística para facilitar o acesso à informação. A inclusão de todos os membros da família, especialmente homens, foi destacada como essencial para o sucesso das intervenções. A revisão também apontou a necessidade de capacitação contínua dos profissionais de saúde e a importância da educação permanente em saúde para a efetividade do planejamento familiar. Conclusão: Conclui-se que a inovação e adaptação das práticas de enfermagem são fundamentais para enfrentar os desafios do planejamento familiar, reforçando a necessidade de políticas públicas que apoiem essas iniciativas e de mais pesquisas para avaliar a eficácia das estratégias implementadas.
ASSISTÊNCIA DA ENFERMAGEM DA SAÚDE REPRODUTIVA DA MULHER
Authors: Silva Dhesika Pereira da , Lima Fernanda de Paula Silva , Ferraz Iara de Oliveira , Carneiro Maxsuelen da Silva , Silva Keilla Bezerra da
Published: May 2024

A Organização Mundial de Saúde (OMS) define saúde sexual como um estado físico, emocional, mental e social de bem-estar em relação à sexualidade; não é meramente ausência de doenças, disfunções ou debilidades. Objetivo: Diante do exposto, o presente estudo é destacar a importância da assistência da enfermagem da saúde reprodutiva da mulher. Metodologia: Trata-se de uma revisão bibliográfica de tipo descritiva e exploratória, que busca compreender a importância da saúde sexual e reprodutiva da mulher. na base de dados Bibliográficos Especializada na Área de Enfermagem do Brasil (BDENF), Scientific Eletronic Libary Online (SciELO) e na Literatura Latino-americana em Ciências de Saúde (LILACS). Buscou-se artigos e produções científicas que tenham sido publicadas no período dos cinco anos mais recente de 2018 a 2023. Conclusão: Conclui-se que a saúde reprodutiva e sexual da mulher é bastante importante e necessária, para explorar e conscientizar a sociedade, na promoção a saúde.
The Pattern of Career Aspirations among Chemistry Students in Federal University of Technology, Minna, Niger State
Authors: Ogunwole Adeshewa , Wushishi Ibrahim Dantani , Eke Samuel Sunday
Published: May 2024

This study checked for factors like how gender affects the choice of career to find out if students are influenced by so many factors that do not allow them to follow their choice of career. A purposeful sampling was used to select students in chemistry and chemistry education. Questionnaire was administered to ensure true validity of the study and then necessary data was collected through a carefully structured questionnaire. Data were analyzed by converting the data to main frequency count and standard deviation. 223 students make up the sample size for this study. From the data obtained, the finding show that the choice of career aspirations of students is affected by their gender by the means of male (3.04) and female (3.15) which is greater than the decision making 2.5. The findings showed that students are influenced by friends, social and social economic status by mean of (3.10). The findings also showed that parents play a major role in influencing their children choice of career by the mean of (2.66) and lastly the findings showed that guardian and counseling center in the school also influence career aspirations of students by mean of (2.79). In conclusion, a student's professional goals should be determined by their academic performance rather than by factors like popularity, parental influence, social position, or economic standing.
Regulación del comercio electrónico y las transacciones digitales en Perú: un análisis de su implementación y efectos en la región de Huancavelica
Authors: Pacheco Marmanillo Vhelu Fortunata
Published: May 2024

Este trabajo tiene la finalidad de analizar la implementación y los efectos de la regulación del comercio electrónico y las transacciones digitales en Perú, en énfasis en la región de Huancavelica, para identificar sus impactos legales, económicos y sociales, como objetivos específicos tenemos la revisión del marco legal que los rigen, evaluar su alcance y aplicabilidad en la región, investigando de cómo se han ido implementando y su impacto en el desarrollo económico, examinando la adopción de las transacciones digitales, como influye en los negocios locales, y analizar su impacto social incluyendo cambios en el acceso a productos y servicios evaluando la aceptación y el nivel de confianza de la población en el comercio electrónico, identificando los desafíos que enfrentan los emprendedores y consumidores en la región, sobre el comercio electrónico y las transacciones digitales. Se ha seguido el método descriptivo como análisis de leyes y estudios previos, así como entrevistas y encuestas a emprendedores, consumidores y funcionarios en la región, recopilando datos cualitativos y cuantitativos, así como el estudio de casos de negocios locales que han adoptado el comercio electrónico. Se concluye con una comprensión del marco regulatorio del comercio electrónico en Perú y su implementación en Huancavelica, con la identificación de los efectos de las transacciones digitales, con propuestas políticas y estrategias para mejorar el entorno del comercio electrónico en nuestra región.
Learning With Augmented Reality
Authors: Kumar Rajiv
Published: May 2024

The effective development of healthcare competencies poses great educational challenges. A possible approach to provide learning opportunities is the use of augmented reality (AR) where virtual learning experiences can be embedded in a real physical context. The aim of this study was to provide a comprehensive overview of the current state of the art in terms of user acceptance, the AR applications developed and the effect of AR on the development of competencies in healthcare. Methods. We conducted an integrative review. Integrative reviews are the broadest type of research review methods allowing for the inclusion of various research designs to more fully understand a phenomenon of concern. Our review included multi-disciplinary research publications in English reported until 2012. Results. 2529 research papers were found from ERIC, CINAHL, Medline, PubMed, Web of Science and Springer-link. Three qualitative, 20 quantitative and 2 mixed studies were included. Using a thematic analysis, we’ve described three aspects related to the research, technology and education. This study showed that AR was applied in a wide range of topics in healthcare education. Furthermore acceptance for AR as a learning technology was reported among the learners and its potential for improving different types of competencies. Discussion. AR is still considered as a novelty in the literature. Most of the studies reported early prototypes. Also the designed AR applications lacked an explicit pedagogical theoretical framework. Finally the learning strategies adopted were of the traditional style ‘see one, do one and teach one’ and do not integrate clinical competencies to ensure patients’ safety. Keywords: Medical education, Medical simulation, Augmented reality
DESIGN A CIRCUIT FOR HUMIDITY PREDICTION USING CMOS TECHNOLOGY AND IMPLEMENTING ANN
Authors:   CSE, Budge Budge Institute of Technology, Kolkata – 700137, India, Roy Arijit
Published: May 2024

This research paper presents the knowledge about Humidity prediction model based on Arduino Uno, DHT11 Sensor and 16*2 LCD display. The model combines real-time data acquisition with predictive machine learning algorithm to estimate future humidity levels. The microcontroller of Arduino processes from the DHT sensor and shows the predicted and actual humidity data in the LCD display. This system gives a low-cost and user-friendly solution for humidity monitoring in various environments. Keyword: Arduino UNO, DHT-11, 16*2 LCD
DESIGN AND IMPLEMENTATION OF RADIX-4-8 MODIFIED BOOTH’S ENCODER USING FPGA
Authors:   Student of Department of Electronics and Communication Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore-560082, Karnataka, K Soundarya
Published: May 2024

We describe a unique design methodology of approximate radix-4 Booth multipliers that can be produced at a reasonable cost and that can greatly lower the power consumption of signal processing activities that are error-resilient. The suggested method takes into account two important processing steps simultaneously by requiring the generated error directions to be opposite to each other, in contrast to previous studies that only concentrate on the approximation of either the partial product generation with encoders or the partial product reductions with compressors. In comparison to the previous designs, the suggested approximation Booth multiplier can minimize the needed processing energy under the same number of approximate bits since the internal mistakes are naturally balanced to have zero mean. This suggested multiplier design was created in Verilog HDL, simulated using Xilinx and Modelsim 6.4c.
STYLESYNC: A FASHION RECOMMENDATION SYSTEM
Authors:   Department of Computer Science And Engineering(Data Science) &   Department of Computer Science And Engineering(Artificial Intelligence & Machine Learning),  Inderprastha Engineering College, Sahibabad, Ghaziabad, India, varma Neha
Published: May 2024

Our project focuses on an AI-powered Fashion Recommendation System tailored to assist users in curating outfits for diverse occasions. Users upload clothing images to create individualized wardrobes. Employing machine learning and deep learning, our system accurately classifies clothing types and identifies colors within these images. The core of our innovation lies in a sophisticated recommendation algorithm. By analyzing users' existing wardrobes, including garment types and colors, our algorithm delivers personalized outfit suggestions aligned with users' style preferences and specific event needs. The interface prioritizes user-friendliness, enabling seamless wardrobe management and presenting users with well-matched outfit recommendations. Continuous refinement through user feedback ensures ongoing enhancement of recommendation accuracy, user experience, and machine learning model performance. In summary, our AI-driven Fashion Recommendation The system aims to streamline the process of dressing for diverse occasions, offering personalized outfit suggestions based on individual wardrobes, thus empowering users with convenient and stylish clothing choices. Keyword – fashion-recommendation, Feature extraction, recommendation system, data analysis, transfer-learning, javascript, python, bootstrap, npm, machine learning, computer vision, deep-learning, reactjs, material-ui, sklearn, Collaborative Filtering, Content-Based Filtering, Deep Learning, Feature Extraction, Natural Language Processing (NLP), Image Recognition.
THE ROLE OF THYROID & PARATHYROID HORMONES IN PROSTHODONTIC TREATMENT- A NARRATIVE REVIEW
Authors:   Dept of Prosthodontics, Lenora Institute of Dental Sciences, Rajahmundry, A.P., India, K Dr. Udaya Bhanu
Published: May 2024

Thyroid and parathyroid hormones play an important role in maintaining bone metabolism, which can have a direct effect on the health and stability of residual ridges, especially in edentulous patients. Preservation of residual ridges is critical to the success of dental prostheses such as dentures. Thyroid Hormones Thyroid is the major regulation of metabolism and effects all the bodily functions. Pituitary gland stimulated the thyroid to produce the hormones T4 – Thyroxine ; T3 – Tri iodothyrone and calcitonin. Thyroxine (T4) and Triiodothyronine (T3) hormones are important regulators of metabolism and influence the turnover of bone tissue by affecting the activity of osteoblasts and osteoclasts. a). Activation of osteoblasts: In particular, T3 increases the activity of osteoblasts, the cells responsible for bone formation. This can lead to an increase in bone density and strength, which is necessary to maintain the structure of the residual ridges. (b). Bone Resorption: Excessive levels of thyroid hormones (hyperthyroidism) can increase osteoclast activity, leading to accelerated bone resorption and possible bone loss, which can negatively affect residual ridges.[1]
SUBJECTIVE ANSWERS EVALUATION USING ML & NLP
Authors:   Department of Information technology, Sir Visvesvaraya Institute of Technology, Nashik, Maharashtra, India., Cholke Prof. Satish C.
Published: May 2024

Every year, educational boards and universities conduct exams in offline mode, where a large number of students take subjective type exams. Evaluating such a vast number of papers manually requires significant effort. The quality of evaluation can also vary depending on the evaluator's mood, making the process inconsistent. Moreover, the manual evaluation is both lengthy and time-consuming. On the other hand, competitive and entrance exams typically consist of objective or multiple-choice questions (MCQs). These exams are evaluated using machines, making the process straightforward. This method also conserves resources and minimizes human interaction, resulting in error-free evaluations. While multiple systems are available for evaluating objective (MCQ) type questions, there is a lack of provision for assessing subjective (descriptive) type questions. Automating the evaluation process for descriptive answers would be extremely beneficial for educational institutions, as it would enable efficient and accurate assessment of students' exam answer sheets. Key Words: Subjective type exams, manual evaluation, evaluation consistency, time-consuming, objective type questions, multiple-choice questions (MCQs), automated evaluation, educational institutions, efficient assessment, accurate assessment, error-free evaluations, evaluation systems, descriptive answers, resource conservation, human interaction minimization
StudyLoom – An ed-tech Platform
Authors:   Dept. of Computer Science &  Engineering  Noida Institute of Engineering & Technology, Singh Shivam
Published: May 2024

StudyLoom is a user-friendly educational platform designed to make learning more engaging and accessible. It allows students to easily access educational content and rate their learning experience. Instructors can showcase their expertise globally, reaching a wider audience. The platform utilizes modern technology to provide interactive features, making it a valuable tool for both students and instructors in the education sector. Keywords— Ed-tech platform; Online learning; Educational technology; E-learning; User experience; Student engagement; Instructor platform; MERN stack; ReactJS; NodeJS; MongoDB; RESTful API; User interface design; Course management