International Journal of Science and Research Archive最新文献

{"title":"The impact of big data analytics on financial risk management","authors":"Omolara Patricia Olaiya, Agwubuo Chigozie Cynthia, Sarah Onyeche Usoro, Omotoyosi Qazeem Obani, Kenneth Chukwujekwu Nwafor, Olajumoke Oluwagbemisola Ajayi","doi":"10.30574/ijsra.2024.12.2.1313","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1313","url":null,"abstract":"The realm of financial risk management is undergoing a seismic shift, driven by the transformative power of big data analytics. Financial institutions are now leveraging vast datasets not just as historical records but as powerful tools to revolutionize risk management practices. This paper explores how big data enhances predictive modeling, real-time risk assessment, and addresses associated challenges and future directions. Big data facilitates predictive modeling by analyzing diverse datasets, including traditional financial data, consumer behavior, and social media sentiment. This allows financial institutions to predict future performance and identify risks from external factors like political instability. Real-time risk assessment is another significant benefit, allowing continuous monitoring and dynamic adjustments. Financial institutions can now detect potential fraud in real-time and monitor social media for market sentiment shifts, enabling proactive risk mitigation. However, the integration of big data is challenging, while big data offers immense potential, challenges exist. Scattered data across systems hinders a complete risk picture, so integration into a unified platform is crucial. Additionally, robust security measures are paramount to safeguard sensitive information and build customer trust, as data privacy is a top concern in the big data era. Big data's future in financial risk management shines bright. Machine learning and AI will boost predictive models and real-time risk assessment, with AI constantly learning and refining strategies. Integrating alternative data like IoT and social media sentiment unlocks deeper risk insights. While big data revolutionizes risk management, overcoming data silos and security challenges is key. As technology advances, the future promises continuous innovation for a more secure financial landscape","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"9 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building framework recommendation system for trendy fashion e-commerce based on deep learning with Top-K","authors":"Bao The Pham, Ho Thanh Thuy, Pham The Bao, Dieu Le","doi":"10.30574/ijsra.2024.12.2.1270","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1270","url":null,"abstract":"Recently, e-commerce has become a vital component of our purchasing habits. Central to this evolution is the recommendation system, an advanced algorithm designed to personalize the shopping experience and significantly boost consumer demand. With its diverse and ever-changing inventory, the fashion industry benefits immensely from these algorithms, making it a fascinating case study for understanding the broader impacts of technology on consumerism. Traditional fashion recommendation systems are fundamentally based on item compatibility, but keeping up with trends is also essential. To address this, we propose a two-stage system: fashion detection and outfit suggestions based on the identified items. Users receive images of Key Opinion Leaders (KOLs) or Influencers wearing similar outfits. These recommendations ensure item compatibility, offer diverse styles, and remain fashionable. At the outset, we experimented with YOLOv8 to select the best version. Next, we implemented fashion image retrieval based on feature extraction using two pre-trained networks. To enhance reliability, we developed a voting and ranking algorithm. Our experiments, conducted on a self-collected dataset, evaluated the system’s effectiveness in detecting fashion objects and the efficiency of content-based image retrieval","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A few thoughts on the transition period of pension insurance reform on the personnel management work of universities in China","authors":"Nan Zhang","doi":"10.30574/ijsra.2024.12.2.1319","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1319","url":null,"abstract":"Pension insurance, as one of the basic social security, is directly related to the personal interests of university staff, and is widely concerned by the staff. In the institutional merging pension insurance background, the insurance system changes to the college personnel management work has brought great impact and challenges. This paper discusses the challenges faced by the personnel management of universities in the context of the reform of pension insurance for institutions and puts forward corresponding optimization strategies to enhance the effectiveness of personnel management, thereby safeguarding the legitimate rights and interests of teaching staff and promoting the benign development of universities.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"2 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sentiment analysis with machine learning and deep learning: A survey of techniques and applications","authors":"Nikhil Sanjay","doi":"10.30574/ijsra.2024.12.2.1205","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1205","url":null,"abstract":"Sentiment analysis is the task of automatically identifying the sentiment expressed in text. It has become increasingly important in many applications such as social media monitoring, product reviews analysis, and customer feedback evaluation. With the advent of deep learning techniques, sentiment analysis has seen significant improvements in performance and accuracy. This paper presents a comprehensive survey of machine learning and deep learning methods for sentiment analysis at the document, sentence, and aspect levels. We first provide an overview of traditional machine learning approaches to sentiment analysis and their limitations. We then look into various machine learning and deep learning architectures that have been successfully applied to this task. Additionally, we discuss the challenges of dealing with different data modalities, such as visual and multimodal data, and how both techniques have been adapted to address these challenges. Furthermore, we explore the applications of sentiment analysis in diverse domains, including social media, product reviews, and healthcare. Finally, we highlight the current limitations of deep learning approaches for sentiment analysis and outline potential future research directions. This survey aims to provide researchers and practitioners with a comprehensive understanding of the state-of-the-art deep learning techniques for sentiment analysis and their practical applications.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Echocardiographic imaging and anatomic characteristics of true univentricular heart manifesting as double inlet - double outlet right ventricle: Case report and literature review","authors":"Akhil Mehrotra, Faiz Illahi Siddiqui, Mohammad Shaban, Anjali Chauhan","doi":"10.30574/ijsra.2024.12.2.1264","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1264","url":null,"abstract":"Double Inlet-Double Outlet Right Ventricle (DI-DORV) is a rare and unique single-ventricular congenital heart disease with variable atrioventricular valve morphology and myocardial structure. In patients of DI-DORV the two atria are connected to the RV by two atrioventricular (AV) valves or a common set of AV valve. The right ventricle is identified by its anatomical markers (thick trabeculae, interventricular-marginal trabeculae, and Lance's muscle), and the left ventricle by the smooth endocardium surface of the basal interventricular septum. Due to different forms of the right ventricular myocardium, hypertrophy of muscle trabeculae may be mistaken for ventricular septum, which may be challenging for diagnosing DI-DORV. The patients of DI-DORV often die early due to volume overload or persistent cyanosis leading to gradual deterioration of ventricular function. Patients are often prone to recurrent chest infections since childhood, seriously affecting physical development and causing congestive heart failure at an early stage. However, the complexity and diversity of DI-DORV lesions lead to great difficulty in clinical diagnosis. The most common surgical treatment is a staged modified Fontan palliative surgery. Transthoracic echocardiography (TTE) can accurately and reliably estimate the cardiac structure and function and plays an essential role in diagnosing and managing patients with DI-DORV. Furthermore, utilising the current non-invasive imaging techniques like cardiac CT and cardiac MRI, in situations where echocardiography is unable to deliver a precise diagnosis, are essential for optimal surgical management to improve the survival rates and quality of life. Here we are presenting a case report of a deeply cyanotic 3-month-old male infant afflicted with complex congenital cardiac defect: double inlet-double outlet right ventricle (DI-DORV) associated with A-malposition of great arteries and severe pulmonary valvular stenosis.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"5 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Malaria acute kidney injury: Case report from Tumbi regional referral hospital in Pwani, Tanzania","authors":"Erhad Bilaro, Adam Gembe, Lyizibert Mrosso, Ngasa Mayamba","doi":"10.30574/ijsra.2024.12.2.1289","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1289","url":null,"abstract":"Malaria is a most significant parasitic disease worldwide. The overall burden of malaria infection in Tanzania has been decreasing over the past 10 years. On the other hand, there is an observation of an increase in severe forms of malaria, notably malaria-associated kidney injury, across hospitals in Tanzania. We are reporting two cases of severe malaria-associated acute kidney injury admitted at Tumbi Regional Referral Hospital in Eastern Tanzania. The patients were young adults who live in an area with a moderately high malaria transmission rate in the country. Patients recovered well after various inpatient interventions. The cases highlight not only an increasing number of severe malaria cases associated with acute kidney injury but also the challenges of managing malaria in a low-income endemic setting and the potential treatment failure of artemisinin-based compounds. The cases underscore the importance of early presentation to health facilities, early detection of severe malaria patients, and timely interventions, including hemodialysis, which are crucial in improving the prognosis of severe malaria patients.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A path analysis of apparel brand equity in the context of utilitarian and hedonic buying behaviors among male and female college students","authors":"G. Gempes, April Bernardo Evangelista, G. Gempes","doi":"10.30574/ijsra.2024.12.2.1229","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1229","url":null,"abstract":"The internet is flooded with research on the influence of brand equity on consumer buying behavior. This paper offers a reversal of the variables wherein brand equity becomes the dependent variable and consumer buying behaviors (utilitarian and hedonic), along with sex, as the independent variables. Employing path analysis, the study delves into the dominant buying behavior of 300 graduating college male and female university students in Region XI. They are the prospective consumers of apparel products once employed in the immediate future. The study highlights the interconnectedness of utilitarian and hedonic buying behaviors in shaping the brand equity of apparel goods. Sex, on the other hand, is not a significant predictor of consumer buying behavior and brand equity.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"12 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of reverse logistics practices and their impact on supply chain sustainability","authors":"Temitayo Oluwadamilola Adesoga, Omolara Patricia, Olaiya, Enyinnaya Prince, Olajumoke Oluwagbemisola Ajayi, Oluwabusola Dorcas","doi":"10.30574/ijsra.2024.12.2.1216","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1216","url":null,"abstract":"In recent years, reverse logistics has become crucial in supply chain management, driven by sustainability, regulatory compliance, and economic efficiency. This review explores reverse logistics practices, which involve moving goods from their destinations back up the supply chain for value recapture or proper disposal through activities like returns management, remanufacturing, refurbishing, and recycling. Effective reverse logistics can yield significant cost savings by reclaiming value from returned products, reducing waste, and optimizing resource use, thereby enhancing operational efficiency, and mitigating environmental impact. Emphasizing environmental benefits, the review illustrates how these practices help companies reduce carbon footprints, lower raw material demand, and divert waste from landfills. Real-world examples highlight successful implementations and positive environmental outcomes. Economically, reverse logistics allows companies to extract substantial value from returned products, cutting production costs and meeting consumer demand for sustainable products. Socially, reverse logistics fosters job creation in recycling, refurbishing, and remanufacturing, promoting economic growth and community development. Despite challenges like logistical complexities and setup costs, the review provides insights into overcoming these hurdles through strategic planning, technological integration, and collaboration with third-party logistics providers. The role of technology, including IoT devices, big data analytics, and blockchain, is emphasized for their potential to streamline operations, improve tracking and transparency, and enhance decision-making. By adopting a comprehensive approach, businesses can achieve significant environmental, economic, and social benefits, contributing to broader sustainability goals and building resilient, future-ready supply chains.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"1 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An overview of artificial intelligence and its application in marketing with focus on large language models","authors":"Reza Amini, Ali Amini","doi":"10.30574/ijsra.2024.12.2.1223","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1223","url":null,"abstract":"Emerging technologies like the Internet of Things, big data analytics, blockchain, and artificial intelligence (AI) have significantly transformed business operations. Among these, AI stands out as the most recent and impactful, revolutionizing marketing practices. Professionals globally are actively seeking AI solutions tailored to their marketing needs. A systematic review of existing literature can highlight AI's significance in marketing and reveal future research pathways. Integrating big data sources and AI tools into marketing practices represents a departure from traditional methods, ushering in a new era of marketing education. This paper explores recent advancements in AI within the marketing sector, highlighting how these developments enable practitioners to effectively navigate and utilize extensive and complex datasets for predictive analytics. By integrating big data and AI, marketing strategies can now be directly aligned with execution, enhancing both strategic planning and the forecasting of marketing outcomes. However, the adoption of these technologies necessitates a shift towards adaptive learning approaches, moving beyond traditional assessment methods to better accommodate the dynamic nature of today's marketing environment. The transition to big data and AI-driven approaches equips experts for the evolving demands of the modern marketing landscape. This shift transcends traditional analytics by leveraging cutting-edge AI technologies, such as Large Language Models, and enhances the utilization of big data through innovative learning experiences, such as role-playing simulations. This integration not only broadens the analytical capabilities of marketers but also fosters a more immersive and experiential understanding of data-driven decision-making.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"10 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transitioning to electric vehicles: Opportunities and challenges","authors":"Gurdev Singh","doi":"10.30574/ijsra.2024.12.2.1212","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1212","url":null,"abstract":"The rapid improvements in India’s financial status and the inadequate transport system have significantly contributed to the surge in cars and two-wheelers. However, these motor vehicles, which predominantly run on petrol and diesel, pose a severe threat to the environment as they emit greenhouse gases such as carbon dioxide, carbon monooxide , Methane , sulphur oxides, and nitrous oxides and particulate matter etc.. These emissions contribute significantly to air pollution, posing a grave threat to human health, especially in urban areas. It is imperative to take action now to safeguard the planet from future catastrophes and ensure a safer environment for both current and future generations. One significant step we can take is transitioning to electric vehicles (EVs), which have far less environmental impact compared to those running on petrol and diesel. The Government of India has initiated several initiatives to promote EV usage. According to Statista, as of March 2023, there were 225,103,000 units operational EVs of all types in India .Electric vehicles emit significantly lower carbon emissions than gasoline vehicles, making them a crucial part of reducing environmental harm. According to recent studies, by 2030, EVs are expected to reduce nitrogen oxide by 17%, particulate matter by 18%, carbon monoxide by 18%, and carbon dioxide by 846.3 million tons. This paper high lights the transitioning towards zero emission public transport and the positive impacts of Electric vehicles on environment and the challenges before EV industry.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"3 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}