Naveen Ghorpade, Aayush Poudel, Mangala M. Patil, William Deepan R H
{"title":"Application of Distributed Ledger Technology (Blockchain) To the Farming Sector","authors":"Naveen Ghorpade, Aayush Poudel, Mangala M. Patil, William Deepan R H","doi":"10.56025/ijaresm.2023.117232259","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.117232259","url":null,"abstract":"Blockchain to everyone seems to comprehend, a rapidly growing business, and it is safe to assume that it has already had an effect on related sectors like banking and cryptocurrency. The success of this endeavor will go a long way toward guaranteeing blockchain technology's widespread adoption in the farming/agricultural sector. However, it is our responsibility to educate and train farmers in this regard, since this is likely to be one of the developing team's most time-consuming challenges.Once our work is up and running, clients will be able to purchase things at fair prices, and we will be able to quickly cut out the middleman who is making a profit just by delivering or selling the goods.The lending institution that this initiative is based on will allow farmers to borrow money at a reduced interest rate. All analyses are, thus, based on the most recent data and evidence at this time. In order to have a true image of the advantages of blockchain technology in agriculture/farming company, more study has to be done on large-scale data processing and established blockchain infrastructure.This article aims to work on a website that will allow farmers to enter information about their operations and produce, while also allowing retailers to get the goods they need for their stores or homes at competitive prices. By eliminating the need for middlemen, the use of this technology will cut out the people who are just interested in making money off of the sale of goods.","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131249900","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":"Hemodialysis Complications: A Clinical Insight","authors":"Ajit Singh, Jerome Heldaus, Andrew Paul Msaki","doi":"10.56025/ijaresm.2023.11323640","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.11323640","url":null,"abstract":"","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124298937","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":"Enhancing Scalability through Extended Hybrid Switching with Mixture Path Deployment (EHS-MPD): A Novel Framework","authors":"Vijesh K, Aparna Sachin","doi":"10.56025/ijaresm.2023.11723558","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.11723558","url":null,"abstract":"In today's digital landscape, the exponential growth of data has created significant challenges for archiving systems. Existing solutions often struggle to cope with the ever-increasing data volumes, leading to scalability limitations, reduced efficiency, and inflexibility. To address these challenges, this research paper introduces a novel approach that extends hybrid switching with a mixture path deployment framework. By combining the benefits of hybrid switching techniques and the adaptability of the mixture path deployment framework, our proposed approach aims to enhance scalability, efficiency, and flexibility in archiving systems while minimizing the risks of data loss and system failures. This paper provides a comprehensive analysis of the design, implementation, and evaluation of our approach, highlighting its key features, benefits, and potential impact on archiving systems. We review existing archiving approaches, identifying their limitations and shortcomings. Then, we delve into the concept of hybrid switching, exploring its advantages in optimizing network performance. Additionally, we introduce the mixture path deployment framework, emphasizing its benefits in load balancing, fault tolerance, and performance improvement. The proposed approach's architecture is presented, showcasing the integration of hybrid switching techniques and the mixture path deployment framework. Strategies for efficient data placement and management are discussed, including dynamic data placement algorithms and metadata management techniques. The design and implementation of the extended archiving system are described, outlining the interactions among its components. Overall, our novel approach to archiving high scalability through extending hybrid switching with a mixture path deployment framework offers a promising solution to address the limitations of existing archiving systems. It enables improved performance, flexibility, and fault tolerance, paving the way for efficient and scalable archiving solutions in the era of big data.","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117289868","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":"Navigating the Digital Marketing in the Era of Social Commerce: An Exploration of Marketing Strategies for Today's Business Landscape","authors":"Vishal, Dr Kranti Singh","doi":"10.56025/ijaresm.2023.117232080","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.117232080","url":null,"abstract":"The rise of digital technologies has significantly transformed the marketing landscape, presenting challenges and opportunities for businesses of all sizes. With the increasing prevalence of social media, mobile devices, and other digital channels, marketers must adapt their strategies to stay competitive and engage with customers meaningfully. This paper explores the various dimensions of digital marketing, including social media marketing, influencer marketing, content marketing, email marketing, and search engine optimization. Additionally, it examines the role of data analytics and the importance of developing a robust online presence. By synthesizing current research and real-world examples, this paper provides insights into the best practices and tactics for succeeding in the digital era. Ultimately, it highlights the need for marketers to stay agile and proactive in their digital marketing approach to achieve lasting success in today's dynamic business environment.","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126267529","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":"Testing the Impact of Gold & Crude Oil on Stock Market in India","authors":"Dr Dileep S","doi":"10.56025/ijaresm.2023.118231563","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.118231563","url":null,"abstract":"","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120958996","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":"Purchasing Decisions in Terms of Perceived Quality and Product Knowledge towards Electrical Products","authors":"Khushi Rathod","doi":"10.56025/ijaresm.2023.2206231313","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.2206231313","url":null,"abstract":"The present research paper investigates the factors influencing purchasing decisions concerning electrical products, specifically focusing on the role of perceived quality and product knowledge. As consumers’ expectations and preferences evolve, understanding how individuals perceive quality and employ product knowledge is crucial for marketers and manufacturers aiming to develop effective marketing strategies. This study aims to contribute to the existing literature by exploring the relationships between perceived quality, product knowledge, and purchasing decisions in the context of electrical products. The research employs a quantitative approach, utilizing a survey questionnaire administered to a diverse sample of consumers. Multiple dimensions of perceived quality are assessed, including durability, reliability, performance, aesthetics, and customer service. Product knowledge is measured by evaluating consumers’ familiarity with technical specifications, features, and brand reputation. The survey also captures demographic variables and purchase-related information to analyse potential variations in purchasing behaviour. The findings reveal a positive correlation between perceived quality and purchasing decisions, indicating that consumers tend to prioritize products with higher perceived quality when making purchasing choices. Moreover, the study highlights the significant impact of product knowledge on purchasing decisions, indicating that consumers with a higher level of product knowledge are more likely to make informed and favourable purchase decisions. Furthermore, the research identifies specific dimensions of perceived quality that have a stronger influence on purchasing decisions, shedding light on the aspects that hold greater importance for consumers in the context of electrical products. The study also examines the moderating role of demographic factors, such as age, gender, and income, on the relationship between perceived quality, product knowledge, and purchasing decisions. The results of this research paper have implications for marketers, manufacturers, and policymakers. Understanding the determinants of consumers’ purchasing decisions can assist in developing targeted marketing strategies, enhancing product development processes, and providing tailored information to consumers. By addressing the factors influencing perceived quality and product knowledge, stakeholders can improve consumer satisfaction and loyalty, leading to long-term success in the highly competitive electrical products market.","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132534498","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}
K. B. Priya, Athira S, Deepak S, Sarath E, Dr. Priya, Dr. Mohammed Farazuddin, Dr. Satya Tejaswini
{"title":"Assessment of Insulin-Related Knowledge, Attitude, and Skills among Nurses in a Tertiary Care HospitalA Pre and Post Design K. Bharathi Priya1*, Athira S2 , Deepak S2 , Sarath E","authors":"K. B. Priya, Athira S, Deepak S, Sarath E, Dr. Priya, Dr. Mohammed Farazuddin, Dr. Satya Tejaswini","doi":"10.56025/ijaresm.2023.1192326","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.1192326","url":null,"abstract":"","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132311622","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":"The Impact of Trauma Exposure on Mental Health Outcomes an Examination of Depression, Anxiety, and Substance use Disorders among Trauma Survivors","authors":"Reedam Pandey, Rayees Mohammad Bhat","doi":"10.56025/ijaresm.2023.2806231501","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.2806231501","url":null,"abstract":"Background: The impact of trauma exposure on mental health outcomes has been extensively studied; however, there is a need for further investigation into the specific relationship between trauma exposure, depression, anxiety, and substance use disorders among trauma survivors. Aim: This study aims to examine the association between trauma exposure and negative mentalincluding depression, anxiety, and substance use disorders, among trauma survivors. Methods: The study employed a cross-sectional correctional design to study the relationship between trauma exposure, mental health, and substance use disorders. Trauma exposure is assessed using the Life Events Checklist for DSM-5 (LEC-5). Depression levels are measured using the Beck Depression Inventory-II (BDI-II), anxiety levels are assessed using the Beck Anxiety Inventory (BAI), and substance use and associated risk levels are evaluated using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Results: Correlation analysis revealed that trauma exposure is strongly correlated with depression (r = .965, p < .01), anxiety (r = .851, p < .01), and substance use scores, including tobacco (r = .624, p < .01), alcohol (r = .654, p < .01),] marijuana (r = .553, p < .01), amphetamine (r = .300, p < .01), and inhalant (r = .420,p < .01). However, no significant correlation is found between trauma exposure and substance use types such as cocaine (r = .063, p < .01), sedative (r = .029, p < .01), hallucinogen (r = .068, p < .01), and opioid (r = .032, p < .01). Conclusion: The study provides evidence of a significant relationship between trauma exposure and negative mental= health outcomes, including depression, anxiety, and substance use disorders, among trauma survivors. These findings underscore the importance of addressing trauma exposure in therapeutic interventions to mitigate the risk of developing mental health disorders and substance abuse problems in individuals who have experienced trauma.","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124621971","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 Advanced Motion Prediction for Targeted Small Moving Objects","authors":"Dr. S. Kayalvili, J. J. Eulogia","doi":"10.56025/ijaresm.2023.113231306","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.113231306","url":null,"abstract":"For autonomous robots, small target motion detectionin complicated natural environments is an extremely challenging task. The extremely efficient visual systems of insects detect mates and trackprey, though the target occupy minute degrees of its visual field. Small target motion relies on the excellent sensitivityof specialized neurons, called Small TargetsMotion Detector (STMD). The already existing models based on STMD, hugely depend on visual contrast butshows poor performance in complicated natural environments, whereas small targets commonly exhibit highly low contrast against its backgrounds nearby. Here, we frame an attentionpredictionguided visual system to break the limitation. It hasfive main subsystems, a) Acquisition Moduleb) Process Modulec) Attention Module d) Action Module e) Log Module. These Modules Capture the image when an abnormal motion occurs and then enhanced the image, stores. The image gets validated and sends to the relevant destination receiver.detailed experiments on various real-world datasets prove the efficiency and majority of this system in the detection ofminute, lowcontrast movements of targets against complicated natural environment. This method is more efficient andproductive because the recording and storage take place when the abrupt changes occur. It is more cost effective.","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123824956","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":"Reinforcement Learning and its application in making Recommendation System","authors":"Mohak Sharma, Neeraj Gandhi, Supreme Datta, Bhavani Annarapu, Krutika Arvind Tomanvar, Mayuresh Bhovardhan","doi":"10.56025/ijaresm.2023.11223278","DOIUrl":"https://doi.org/10.56025/ijaresm.2023.11223278","url":null,"abstract":"Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents are made to take actions in an environment in order to maximize the total reward. RL works on Markov Decision Process which leads to Q-learning. MDP provides a mechanism to maximize the reward in a given environment. Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. DRL has applications in many fields like medicine, robotics, games, etc. Combining DL and RL leads to the formation of Deep QNetworks. Another application of RL and the focus of this seminar is personalized recommendation systems. Recommendation systems are trained on user-item interaction to predict the next item that a user can be interested in. In personalized recommendation systems, it is important to consider a lot of factors like user-item interactions, clicks, purchases, loss, etc. DRL does a very good job of reducing the loss in recommendation systems and recommending relevant items. I will explore a technique called self-supervised learning in which a model is made to predict data for itself for its use in recommendation systems. I also summarize 2 frameworks namely SelfSupervised Q-learning (SQN) and Self-Supervised Actor-Critic (SAC) based on self-supervised learning and try to understand how they work differently as compared to non-RL recommendation systems.","PeriodicalId":314707,"journal":{"name":"International Journal of All Research Education and Scientific Methods","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116589533","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}