bluuebunny/crossref_metadata_2025 huggingface dataset:
Theoretical Review of the Impact of Covid-19 on Loans Performance- A Generic Approach to Reforms, Obstacles, and Future Opportunities-perspective from Zambia
Authors: - Loti  Saidi
Published: August 2024

It is not a disputed fact that the COVID-19 pandemic has heavily disrupted economic activities in the whole world, thereby posing unprecedented obstacles to financial institutions, including our home-developed financial system and particularly in the Zambian banking sector. This journal examined the effect of COVID-19 on credit facilities in Zambian banks, enlisting the obstacles faced, and transformation achieved by commercial banks, as well as looking at the future opportunities for the bank's credit business operations and knowledge from industry practitioners. Further, the study sheds more insight into the numerous effects of the pandemic on banks' credit facilities' performance and appropriate recommendations for steering the emerging insights from industry experts, this study sheds light on the multifaceted effects of the pandemic on credit facilities and offers recommendations for navigating the evolving environment.
Design and Implementation of Optimized PCI Express Physical Layer for High-Speed and Low-Latency Data Transfer
Authors: - Rangaswamy B K , - Keshava A
Published: August 2024

The PCIe (Peripheral Component Interconnect Express) Protocol is crucial for establishing high-speed data communication between computer peripherals, such as graphics cards and network cards etc. This communication protocol is transmitting data in packet format, with each packet containing both data and destination address and other essential information for accurate data delivery. This paper focused on Physical Layer to achieve High-Speed Data Transmission by reducing delay parameter. To minimize disturbances and enhance reliability, the physical layer uses scrambling technique and an 8b – 10b encoding technique is used for synchronization and error detection. Additionally, SIPO and PISO converts data format to improve efficiency and accuracy. The design is implemented using the Cadence compiler targeting 45nm process technology. This design is delay efficient resulting in path delay of 5.0ns and the operating frequency of 200MHz, power consumption of 1.2mw and an area of 1999µm².
The Effect of Transfer Pricing, Foreign Ownership on Tax Avoidance with Corporate Social Responsibility (CSR) as a Moderating Variable
Authors: - Marlina , - Nurul Hidayah
Published: August 2024

This study analyzes how Transfer Pricing and Foreign Ownership affect tax avoidance, and how Corporate Social Responsibility (CSR) can moderate the relationship. This research falls into the quantitative category because it uses hypothesis testing methods to measure the effects between variables. The research sample consists of 30 manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2021 period. Data were collected through the IDX website (www.idx.co.id) and analyzed using multiple linear regression. The results showed that tax avoidance is significantly affected by transfer pricing and foreign ownership. In addition, CSR is proven to moderate the effect of transfer pricing and foreign ownership on tax avoidance significantly.
Classification for predicting PCOS Using Red Deer Algorithm with XGBoost Classifier
Authors: - J Fathima Kaleema , - D Usha Rani
Published: August 2024

Polycystic Ovary Syndrome (PCOS) is a hormonal imbalance disorder that has common among women reproductive age. It affects 20% of women of bearing age. PCOS affected the age between 15-44 .PCOS enlarge ovaries with small cysts in the ovaries. It can lead to unregulated hormonal cycle and also trigger periods , high blood pressure, diabetes, acne, Infertility and growth of hair on face , PCOS cause type 2 diabetes. In this paper propose combination of red deer algorithm with XGBoost algorithm to classify and predict the earlier stage of ovaries to diagnosis and treatment can be used to prevent the long-term problems.
The Promising Role of Artificial Intelligence in Navigating Lung Cancer Prognosis
Authors: - Hamza Ahmed Qureshi , - Yahya Abdul Rehman Shah , - Sara Muddassir Qureshi , - Saad Ur Rehman Shah , - Ashish Shiwlani , - Ahsan Ahmad
Published: August 2024

Incorporating AI in lung cancer management is a disruptive innovation that has improved diagnosis accuracy, prognosis prediction and treatment modalities. In this literature review, we seek to identify the role of artificial intelligence (AI) and machine learning (ML) in lung cancer detection, diagnosis and treatment between 2010 and 2023. A total of 55 studies were selected systematically from databases such as IEEE Xplore, Scopus and PubMed via a PRISMA-based approach. The analysis reveals that artificial intelligence (AI) techniques, specifically convolutional neural networks (CNNs) and natural language processing (NLP), highly improve the precision of initial detection and imaging of lung cancer. Also, CNN distinguishes between benign and malignant nodules, thus aiding early diagnosis and reducing unnecessary biopsies. On the other hand, NLP is utilized to extract relevant clinical information from electronic health records and unstructured medical texts, thereby enhancing the understanding of patient histories and improving treatment planning. Sensitive and specific scores usually higher than standard techniques characterize these technologies. Results show that traditional statistical approaches couldn’t match AI models whose predictive accuracies are outstanding while providing better care to patients through personalised treatment plans. Furthermore, multi-omics data analysis for personalised treatment planning and clinical decision-making optimisation via Clinical Decision Support Systems (CDSS) powered by AI are some ways artificial intelligence has exhibited its potential in this area. Given this, future studies should aim to fine-tune AI algorithms, improve data integration, and address ethical issues promoting responsible use of AI technologies in clinical practice settings. Despite these advances, data quality, model interpretability, and integration into clinical workflows persist. This review demonstrates the demand for continued research and collaboration from different disciplines so that the complete possibilities of AI in fighting lung cancer may be realised.
From Suffering to Sovereignty: The Dimensions of Euthanasia and Right to Die with Dignity
Authors: - Divyanshi Sharma
Published: August 2024

Provided the complex socio-legal fabric of India, the discourse on Euthanasia and the Right to die with dignity provokes profound ethical, legal, and societal questions. Therefore, a need to meticulously examine the varied dimensions of Euthanasia arises. Beginning with the basic understanding of the concept, a comprehensive analysis shall be made in regard to various philosophies associated of renowned political thinkers and philosophers. Additionally, comparative  insights from foreign legal frameworks shall be drawn. The research includes judgments passed by the Indian judiciary regarding the legalization of Euthanasia with a clear debate in its context. 
The High Court Judgement of Gian Kaur v. The State of Punjab (1996) and Supreme Court judgments of Aruna Shanbaug v. Union of India (2011) and Common Cause v. Union of India (2018) proved to be the turning points in Indian legal history and shaped the stance of Indian judiciary on the legislation of Euthanasia.  The breakdown of Law Commission reports (2006 & 2008) also finds their mention. 
Can the freedom to choose a dignified death—the ultimate act of human autonomy—be recognized by the law in a culture that is highly pro-life? If so, there’s a need to structure and strengthen regulations to adopt this choice.
Designing Intuitive Financial Technologies for Elderly Users: A User-Centered approach to Retirement Planning and Investment Platforms
Authors: - Nikket Latke
Published: August 2024

This literature review explores the intersection of user-centered design (UCD) principles and financial technologies (FinTech) tailored for older adults, with a focus on retirement planning and investment platforms. It synthesizes existing research on the challenges and opportunities in designing FinTech solutions that accommodate the cognitive, physical, and emotional needs of elderly users. The review highlights the impact of age-related cognitive decline, technological literacy, and the potential benefits of FinTech for older adults. Ethical considerations, such as privacy and security, are also discussed. The review concludes with design recommendations, emphasizing simplicity, customization, and user involvement, while identifying gaps for future research, particularly in addressing the emotional and social aspects of FinTech usage among older adults.
Teaching Competence and Strategies of Table Tennis Teachers and their Impact on Students’ Sports Performance: Basis for Enhanced Teaching Strategies Plan
Authors: - Li Zhenpeng
Published: August 2024

This study assessed the teaching competence and strategies employed by table tennis teachers and their impact on students' sports performance. The data were gathered through questionnaires designed by the researcher. The data from teachers obtained through a questionnaire were analyzed statistically. The overall findings were used to propose an enhanced teaching competence plan for the sports performance of table tennis students. This quantitative study used correlational and analytical methods. The study used questionnaires to gather information from students and teachers, which will be analyzed statistically. Furthermore, the study included three main variables: the independent variables were teaching skills and strategies of instructors; while the dependent variable was the sports performance of students. These variables were examined for their relationships. This study ensured ethicality and proper research protocols through expert reviews and approval. It was conducted in Tianjin Chengjian University among a total of 100 students and 11 teachers. Based on the study findings, while communicative competence is the strongest teaching skill among table tennis teachers, overall neutral ratings emphasize the need for growth in creativity and innovation to better engage students and adapt to changing educational demands. Cooperative learning is preferred by both teachers and students over traditional lecture and theoretical learning. This shows how important it is to innovate and involve students in the learning process. Both teachers and students evaluated table tennis performance similarly, indicating a general neutral assessment and the need for improvement in all performance areas. Table tennis teachers need to enhance their use of theoretical instruction, incorporating practical application, to optimize sports performance and holistic development in students. Despite the provision of generic exercises, assessment indicates that table tennis students need specific stretches and exercises to enhance their mobility and flexibility.
NTCC on Kid training in Bihar
Authors: - Prachi
Published: August 2024

The main objective is to teach and educate poor children who cannot afford to go to school by working in an NGO. By educating these poor children one can gain knowledge too. These children has the capacity to learn and develop new things and what they want to become they can achieve in future too. It is recommended to teach these children so that they can get the opportunity to learn more things, apart from their studies they have been taught good etiquettes, good manners etc. They have excelled in sports, dancing, singing, painting competition. It will inculcate a feeling of happiness.
Factors Influencing Smes' Performance In Adopting Blockchain Technology: Predictive Insights And Business Operational Implications In Alignment With Oman’s Vision 2040
Authors: - Mrs. Farkhanda Rauf , - Mr.Said Khalfan Salim Al Amri , - Mr.Faisal Al-Farsi , - Dr.Khalid Abu Zayed
Published: August 2024

This research investigates the relationship between blockchain technology adoption and SMEs' performance in Oman using the TOE model and RBV theory, considering Oman's vision for 2040. The study uses a questionnaire to collect data from 82 SMEs in Oman to develop a comprehensive framework for blockchain technology adoption. Structural equation modeling (SEM) was used to test the hypothesis. Several elements, such as innovative characteristics, technical context, organizational context, personal characteristics, and environmental context, are revealed by the research as factors that influence the deployment of blockchain technology by small and medium-sized enterprises (SMEs).
Transforming Higher Education: Empowering Learning through Artificial Intelligence
Authors: - Aarush Jain
Published: August 2024

In the era of Industry 4.0, global businesses and the education sector are increasingly embracing digital tools and AI to drive personalized learning and equity. As universities expand their global reach, AI-based tools are transforming higher education, enhancing both teaching and learning experiences. This study focuses on faculty awareness and the impact of AI on work engagement among educators, aiming to uncover how AI shapes the future of education and fosters innovation in teaching practices.
Health Insurance: A Study of Consumer Behavior
Authors: - Zankhana Atodaria , - Heany Golwala , - Bhavik Ahir
Published: August 2024

Globally, People finance their medical needs through health insurance among varied ways. However, People are ignorant towards it including those who can afford it. Especially in India, subscription paralysis has been observed. An investor need to recognize the risk and manage appropriately. This study aims to examine the socio-economic factors that affect decision of investors to invest in health insurance. Data is collected through a structured questionnaire filled by 151 respondents. The relationship between demographic characteristics & policy features, as well as between demographic variables & the percentage of income invested in health insurance, was examined though Chi-square run in SPSS. The investment decision is affected by the income component and the benefits provided by an insurance policy.
The Future of Work and Human Sources: an Evaluate of Rising Tendencies and Hr's Evolving Function
Authors: - S. Sushma Rawath , - Sarala
Published: August 2024

In the dynamic landscape of the twenty first century, the intersection of technology, globalization, and moving societal expectancies is reshaping the future of labor. This paper delves into the multifaceted dimensions of this modification, providing a comprehensive review of emerging tendencies and the evolving function of Human Resources (HR) in navigating this new generation. The rise of automation, artificial intelligence, and remote work has caused a paradigm shift in organizational systems and worker expectancies. As businesses attempt to remain competitive, the combination of superior technologies necessitates a re-evaluation of traditional HR practices. This paper explores the impact of technological advancements on task roles, skill necessities, and the overall worker revel in. Globalization has blurred geographical obstacles, fostering numerous and multicultural places of work. HR specialists are confronted with the mission of handling a group of workers that spans across different time zones and cultural contexts. The paper examines the techniques HR departments appoint to foster inclusivity, cross-cultural collaboration, and effective communication in this globalized work environment. The evolving nature of labour additionally brings forth the importance of worker wellbeing and mental fitness. As corporations understand the link between worker delight and productivity, HR plays a pivotal position in enforcing tasks that prioritize the holistic nicely-being of the staff. Furthermore, the paper explores HR's shifting position from a transactional feature to a strategic associate in organizational decision-making. HR leaders are increasingly more called upon to make contributions to enterprise strategy, aligning human capital with average corporate goals. This paper presents a ahead-searching perspective on the future of labour and the evolving role of HR. By dissecting rising developments, technological affects, and the converting expectations of the staff, it offers treasured insights for HR specialists, organizational leaders, and researchers navigating the transformative panorama of labour within the 21st century.
Effect of Fartlek and Interval Training on the Muscular Strength and Strength Endurance of Football Player's Performance
Authors: - Ajay Pratap Singh , - Hasmukh H. Patel
Published: August 2024

The sixty district level football players were selected randomly as subjects from different schools of Vadodara, Gujarat. The groups were from 16 to 19 years of age; these subjects were further divided into three groups of 20 players each, and the groups were called Experimental group I=20, Experimental group II=20 and the Control group=20. The purpose of the study was to know the effects of the study on the development of district level football players of schools. METHODS: - Subjects were tested under pre-test on Aapher youth fitness test and collected pre-test data, Later both experimental group were given specific training i:e Experimental group I – Fartlek training, Experimental group II- Interval training and Control Group- No training, once the trainings was completed the subjects were tested again under post-test and the data was collected for analysis and interpretation. FINDINGS:- 1. The calculated F-value of adjusted mean was 68.89, which was significant at 0.05 levels. 2. The calculated F-value of adjusted mean was 369.52, which was significant at 0.05 levels as it was greater than tabulated F value at 0.05 levels.
CONCLUSION:-1. After analyzing ANCOVA and LSD post hoc test for muscular strength it was observed that there was a significant improvement in the muscular strength of the subject of both the Experimental groups i.e. fartlek training group and interval training group comparatively control group. 2. After analyzing ANCOVA and LSD post hoc test for strength endurance it was observed that there was a significant improvement in the strength endurance of the subject of both the Experimental groups i.e. fartlek training group and interval training group comparatively control group.
Consumers’ Perception of Online Shopping in Kota Samarahan, Sarawak
Authors: - Nalini Arumugam , - Afiq Khaiqal Kamri
Published: August 2024

In contemporary times, individuals commonly employ a combination of conventional and modern approaches to get products and services, driven by shifts in consumer purchasing patterns. This is seen in the growing preference for cashless payment methods when making purchases. This study aims to examine the elements that impact customers' perception of online shopping in Kota Samarahan and assess the correlation between two variables that influence consumers' impression of online shopping. The sample approach employed for this investigation is random simple sampling. The data was obtained using a survey conducted in person, where participants scanned a QR code to access the questionnaire. A total of 208 respondents were included in this survey, and the data was analyzed using descriptive analysis and Pearson correlations. This study identified four factors that impact consumers' impression of online purchasing. The study identified four distinct characteristics that influenced customers' view of online buying: convenience, website design/feature, time efficiency, and security. These aspects were considered independent variables, while consumers' perception of online shopping was the dependent variable. All the results from the correlation coefficient data were determined to be positive, suggesting a direct association between the variables.
Marketing 5.0: Harnessing AI and Emerging Technologies to Shape the Future of Business
Authors: - Rachid Ejjami
Published: August 2024

This integrative literature review (ILR) looks into the use of artificial intelligence (AI) technology in the French healthcare system, emphasizing personalized medicine and predictive health analytics. The study subject is the problematic integration of AI technologies, which is hampered by significant challenges, including data privacy concerns, system interoperability, ethical and legal issues, resistance to technological change, and the need for extensive training of healthcare professionals. These issues affect French healthcare professionals and politicians, who must overcome these challenges to utilize AI's potential fully. This research aims to investigate and assess the integration of AI into the French healthcare system, particularly in personalized medicine and predictive health analytics, to identify and address the obstacles and leverage the opportunities that improve patient care and operational efficiency. The ILR's guiding conceptual framework is based on three essential concepts: artificial intelligence, personalized medicine, and predictive healthcare analytics. The research methodology consists in thoroughly examining current literature, qualitative study of case studies, and interviews with industry professionals. The study's findings show that AI has tremendous potential to increase diagnostic precision and treatment accuracy in the French healthcare system. They highlight initiatives such as establishing specialized departments like "Intelligent Healthcare Services" and creating positions like "Intelligent Doctor". The conclusions address the potential implications of the findings for enhancing patient care and operational efficiency, as well as recommendations for further study and practice. These include performing longitudinal studies, looking into emerging data integrity solutions such as blockchain, and improving healthcare professional training programs. Ultimately, breaking down current obstacles and ensuring that AI technologies improve healthcare delivery and patient outcomes would make France a leader in AI-driven medical innovation.
Malicious URL Detection using Machine Learning and CSV
Authors: - Pranav Tripathi , - Ms. Syama Krishna
Published: August 2024

The proposed program item is at risk to meet the security possibly filtering pernicious URLs. This is Python based code, a client is provoked to enter a URL, which is at that point put away in a CSV record. The code peruses the CSV record, extricates different highlights of the URL such as length, the number of characters, and the number of registries in the URL. It too checks whether the URL employments an IP address or a abbreviated URL benefit. These highlights can be utilized for URL classification and distinguishing proof of possibly malevolent URLs.
The expanding predominance of cyber dangers such as phishing, malware dispersion, and other malevolent exercises has made URL discovery basic for online security. This consider presents a Python-based device for identifying possibly pernicious URLs by analyzing basic highlights such as URL length, character check, and catalog profundity. The device leverages machine learning models to classify URLs based on these highlights. Test comes about illustrate that the proposed strategy can successfully recognize between generous and pernicious URLs, giving a strong arrangement for upgrading cybersecurity.
Review : Maple Syrup Urine Disease : A Rare Inherted Disorder of Amino Acid Metabolism
Authors: - Pratham Rohit , - Sneha Dey , - Tarun Tank
Published: August 2024

Maple syrup urine disease is a rare and serious condition in which the amino acid metabolism is impaired. Mostly it is inherited in an autosomal recessive pattern in neonates from birth itself. Normally our body breakdowns proteins into amino acid and further amino acids are broken down and removed from our body. but in this disease body loses it’s ability to breakdown amino acids causing harmful buildup of substances in blood and urine. It can cause life threatening cerebral oedema and dysmyelination in affected individuals. It is generally caused by the deficiency of enzyme complex (Branched chain alpha keto acid dehydrogenase(BCKDHA)) .this particular enzyme complex is necessary to breakdown the three branched chain amino acids(BCCA) leucine, isoleucine and valine. this results in the accumulation of all three amino acids in body producing toxic effects. The common symptoms of this disease in neonates includes: anorexia, sweet smell in the urine, irritability, weight loss. In classic MSUD neonates are even born asymptomatic but delay in treatment may lead to worsening of symptoms in their later stage of life. The toxic effects are due to accumulation of branched chain ketoacids(BCKAs)causing severe ketoacidosis and harmful effects of leucine on brain. however, this disease can be managed by a restricted diet containing low protein so that the three BCCAs are controlled to some extent and through continuous metabolic monitoring. Newborn screening for MSUD is also ver common now a days for diagnosis of MSUD in newborns.
Case Study: The Impact of the Professional Learning Community in Batinah South Governorate/Oman on Developing Students Reading Comprehension
Authors: - Afrah Al-Shammakhi
Published: August 2024

This case study examines the impact of Professional Learning Communities (PLCs) on improving students' reading comprehension in the Batinah South Governorate, Oman. The study was implemented across five schools, where a dedicated team of senior supervisor, supervisors and senior teachers was established to conduct a comprehensive support plan. The study focused on enhancing the students’ reading comprehension as a priority stemmed from the students’ results of the previous semester. Reciprocal reading strategy was adopted, and some follow-up sessions were arranged to monitor progress. Pre- and post-reading tests were analyzed in order to assess the effectiveness of the strategy. The findings of the study have revealed a slight but notable increase in students' reading comprehension levels, representing the potential of PLCs in fostering reading development within the school students.
उच्च शिक्षा प्राप्त करने वाले शासकीय व अशासकीय महाविद्यालयों के किशोरों के आत्म-प्रत्यय एवं सृजनात्मक मूल्यों पर पड़ने वाले प्रभाव का समीक्षात्मक अध्ययन
Authors: - Rashmi Pandya
Published: August 2024

‘‘उच्च शिक्षा प्राप्त करने वाले शासकीय व अशासकीय महाविद्यालयों के किशोरों के आत्म-समप्रत्यय व मूल्यों पर पड़ने वाले प्रभाव के समीक्षा से सम्बंधित है जिसमें पाया गया कि उच्चशिक्षा व शहरी क्षेत्र के प्राप्त करने वाले विद्यार्थियों में सैद्वान्तिक ,सौंदर्यात्मक,सामाजिक,राजनीतिक व धार्मिक मूल्यों में सार्थक अन्तर था परन्तु आर्थिक मूल्यों में कोई अनतर नहीं था इसी प्रकार उच्च शिक्षा प्राप्त करने वाले किशोर विद्यार्थियों के स्वबोध में कोई अन्तर नहीं था परन्तु उनके सामाजिक बोध में सार्थक अन्तर दिखाई देता है ।
Comparative Analysis of Leadership Recruitment: a Multi-case Study of Leaders for Tomorrow Foundation, Shiksha Seva Foundation, and Teach for India (Not for Profit Initiatives)
Authors: - Pooja Garge
Published: August 2024

This study examines the recruitment practices of three non-profit organizations (NPOs) in India: Leaders for Tomorrow, Shiksha Seva Foundation, and Teach For India. The analysis reveals a diversity of approaches used by NPOs to attract and retain talent in a competitive job market.
Dynamic Characterization of Diameter for Round Surfaces using a Non-contact Optical Measurement System
Authors: - Aynur Didem OKTAN KARAYEĞEN , - Hüseyin KURTULDU
Published: August 2024

Ensuring uniformity in the final round product's diameter is essential to production line operations because it permits adherence to geometry specifications and fulfills client demands. Non-contact diameter measurement systems are essential for manufacturing cost savings as well as quality monitoring. However, because of their non-linear movement, lengthy manufactured specimens like rods might be difficult to measure the diameter of precisely. Typically, analysis systems rely on costly and intricate optical components, limiting accessibility to small businesses. This research aims to address this issue by presenting a low-cost and practical optical system for measuring the diameters of round samples in continuous lines. The aim here is to obtain instant feedback through dynamic measurement and to create a continuous control mechanism that will contribute to sustainability. Experimental results show that the proposed method exhibits a high level of precision, with a measurement accuracy of 0.25% of nominal diameter.
The Transition in Economic Theory from Linear to Circular for the Sustainability - A Case Study
Authors: - Sapan Kumar Saha , - Jhuma Saha
Published: August 2024

The ability of our society to endure and expand while preserving enough natural resources for future generations to live is known as sustainability. Sustainable development, which combines structures, procedures, and local, national, and international support, supports its long-term goal. It is the high time, when the world is looking for the environmental conservation, conservation of the planet's biodiversity, social progress and better life style for the environment means a transition for the sustainability. The economy needs to undergo a profound transition because it was built on the principles of "take, make, consume, and discard" and the so-called "linear model," which was based on the idea that resources were infinite and easily accessible from the start of capital accumulation and the industrial revolution. According to this study, a product's value can only be increased by staying within the circularity loop, which means moving from the current linear model paradigm to a circular model. Study also reveals that the businesses and production units that want to generate a competitive edge while using fewer resources need to redesign and restructure their current processes. And it is highly required that the very last resort should be resource disposal and incineration. It is therefore highlighted that the program for the usage of material resources in respect to the global 2030 plan will not be implemented effectively unless the concept of a "circular economy" is adopted in place of the "linear economy." The author of this article examines how the "linear" to "circular" economy changes using a few chosen cases, offering a comprehensive grasp of the topic and the mechanisms of global transformation.
The Role of Organic Farming for Climate Change Mitigation and Sustainable Development: A Review
Authors: - Rozy Sushmita Tirkey
Published: August 2024

Climate Change, exacerbated by human activities such as fossil fuel combustion and greenhouse gas emissions like carbon dioxide (CO2), is a pressing global crisis that disrupts long-term weather patterns, ecosystems, and human well-being. Organic agriculture offers a viable solution to mitigate these effects. By lowering greenhouse gas emissions and enhancing soil carbon sequestration, organic farming strengthens ecosystem resilience. Practices such as eliminating synthetic fertilizers and pesticides, rotating crops, and utilizing organic waste foster robust agricultural systems capable of enduring extreme weather and water scarcity. This paper provides an in-depth analysis of how organic farming contributes to climate change mitigation, detailing practices that support soil carbon sequestration, reduce nitrogen oxide (N2O) emissions, and boost biodiversity. It also addresses challenges such as emissions measurement and consumer behaviour, emphasizing the need for further research and supportive policies. Organic agriculture not only advances sustainable development but also promotes food security and environmental sustainability in the face of climate change.
The Role of Cloud Computing in Transforming Sales Force Customer Engagement Strategies
Authors: - Hanisha Koganti
Published: August 2024

This research paper explores the transformative role of cloud computing in sales force management, focusing on its impact on customer engagement strategies. It examines the benefits of cloud-based Customer Relationship Management (CRM) systems, Sales Force Automation (SFA) tools, and AI-driven analytics in enhancing sales productivity, customer satisfaction, and operational efficiency. Through a detailed analysis of industry case studies, including Salesforce, IBM, Siemens, and Amazon, the paper highlights the significant improvements achieved in sales performance and customer interaction through cloud adoption. The study also addresses the challenges and risks associated with cloud implementation, such as technical barriers, financial constraints, and resistance to change. Future trends, including AI-driven sales insights, multi-cloud strategies, and the integration of blockchain technology, are discussed to provide a forward-looking perspective on how cloud computing will continue to evolve in the sales domain. This research underscores the crucial role of cloud computing in modernizing sales force management and achieving competitive advantage in a rapidly digitalizing business environment.
The Relationship Between Locus of Control, Perceived Organizational Support and Job Satisfaction in Emergency Service Workers
Authors: - Prisacaru Adrian
Published: August 2024

With this study we provide conclusive evidence on the importance of locus of control and organizational support provided by bosses/colleagues in the workplace for optimal satisfaction and adaptation of emergency department employees. Thus, employees who have a high level of externality (have an externalist orientation) dimension of locus of control, as well as a high level of perceived organizational support from their managers and/or colleagues, will more frequently have higher levels of specific job satisfaction and general job satisfaction. The mentioned personality characteristics, together with other characteristics, can become predictors used in the process of psychological assessment for selection purposes to predict adaptation at work. In this sense, from the data obtained it can be seen that the variation in generic job satisfaction can be explained in 12.6% by the perceived organizational support variable, and the variation in specific job satisfaction can be explained in 63.4% by the externality variable, as a dimension of locus of control.
Analyzing India's National Civil Aviation Policy and Global Trends in Contemporary Civil Aviation Policies
Authors: - P VIVEK
Published: August 2024

The expansion of the Indian economy is expected to extend to remote regions, and while market-driven processes are ideal for regional air connectivity, there is recognition of the valuable role of public policy in this endeavor. The UDAN Scheme follows a market-oriented approach where operators assess demand, propose routes, and navigate variables like traffic rights, slot allocation, regulatory restrictions, and infrastructure limitations. Global airline industry deregulation has introduced healthy competition, enhancing efficiency and service quality, leading to increased passenger traffic. Studies have highlighted the constructive impact of improved air connectivity on the economic development of regions. Efficient airports are vital economic catalysts, but research suggests that some regional airports operate inefficiently, missing opportunities for profitability.
Government subsidies and policies for enhancing regional and remote air connectivity are common practices worldwide, with schemes like EAS in the United State and PSO in Europe bridging the accessibility gap. Research is crucial to understand policy effects on air connectivity and identify factors that improve outcomes. Route dispersal guidelines, such as those in India, can create financial redistribution between route categories, affecting airlines' profitability and serving state capitals over remote regions. Policymakers must find effective ways to enhance air transport to underserved areas where market dynamics might not naturally establish viable transportation links.
In summary, this study emphasizes the importance of government-supported policies like UDAN and the role of market-oriented approaches in promoting regional air connectivity. It underlines the need for research to assess policy impacts and identifies the challenges and opportunities in enhancing air connectivity to remote and underserved regions.
Corrections in Boolean Algebra
Authors: - Souravlal Singha
Published: August 2024

Here 1=false,0=true
Consumers’ Satisfaction on Herbal Products in Tirupur City
Authors: - SHABNA .P , - SELVAKUMAR.C
Published: August 2024

Herbal products play an important role in human life to protect them against various health issues. The majority of individuals exhibit a preference for utilizing herbal products as opposed to those containing chemical ingredients. Herbal products encompass items that are formulated and manufactured utilizing various types of herbs. According to the World Health Organization (WHO), a significant proportion of the populations in certain Asian and African countries currently rely on herbal medicine as a component of their primary healthcare, with estimates suggesting that this practice is adopted by approximately 80% of the population. Ayurveda, an ancient Indian system of medicine, is primarily rooted in the Sanskrit language. However, it is noteworthy that Sanskrit was not commonly spoken as a mother tongue, leading to the incorporation of medicinal knowledge from Siddha and other indigenous traditions into Ayurvedic practices.
Comparative Analysis of Financial Forecasting Techniques in Machine Learning for Netflix Stock Price Prediction
Authors: - S. Habeeb Mohamed Sathak Amina , - K.Annsheela , - A H Sumaiya Jailani
Published: August 2024

Abstract - In the stock market, predicting the price of stocks is still a hot research issue. One of the most challenging tasks in the field of computation is prediction of the stock market. The prediction depends on a number of variables, including physiological vs. Physical elements, rational vs. irrational investor behavior, investor attitude, market rumors, etc. All these factors work together to make stock values unpredictable and very challenging to predict accurately. Supervised Machine Learning (SML) algorithms is used to predict future value by using past stock price data. ML approaches have the ability to reveal trends and knowledge that hadn't previously noticed, and they can be used to predict that are incredibly accurate.
The primary objective of this project is to predict stock prices of Netflix for analyzing profit on day closing. Data was gathered between the years of 2002 and 2022, and separated into two parts: training set and testing set. Only the testing portion is to be used for the final forecast. Four machine learning algorithms such as linear regression, decision tree, MLP, and KNN are used to forecast the close value of the Netflix stock price. This project's output adds to the body of knowledge on predicting stock prices and offers investors some new information for accurate prediction of stock prices.
Chondroid Syringoma of scalp- A Case Misdiagnosed Clinicoradiologically as Dermoid Cyst
Authors: - Brahmjeet Atrish , - Praveen Shandil , - Dr Ananya Roy
Published: August 2024

Chondroid syringoma (CS) is a rare tumor of the apocrine or eccrine glands. CS of the scalp is rare, and its clinical manifestations are similar to those of dermoid cyst, which is a common misdiagnosis for this disease.
A 26-year-old woman presented with a 2-month history of an asymptomatic subcutaneous mass on the scalp. The lesions increased progressively over time. Dermatological examination showed that there was a subcutaneous mass, ranging from 2x2 cm in diameter, with a clear boundary. The surface of the skin was smooth without ulceration or scaling. Histopathologic examination was consistent with the diagnosis of CS.
CS is a rare tumor of the apocrine or eccrine glands. It usually presents as a wellcircumscribed and single subcutaneous masses. Histopathology showed the tumor was located in the dermis, with nests, sheets, and cords of basal-like cells, mucin deposition, and chondroid structures. We herein report a case of CS located in the scalp. CS of the scalp is rare, and its clinical manifestations are similar to those of dermoid cyst, for which it is commonly misdiagnosed.
IOT Enabled Remote Monitoring Application For Telecom SMPS
Authors: - Bhavesh Jadhav , - Sahil Patil , - Saurabh Hagawane
Published: August 2024

This research paper presents a comprehensive study on the development of an
IoT-enabled remote monitoring system for telecom SMPS (Switched-Mode Power Supply). The system aims to address the critical need for efficient power supply management in the telecom industry by utilizing a network of sensors to collect real-time data on key parameters such as voltage, current, temperature, and load. The collected data is securely transmitted to a central monitoring system for analysis and control.
Rural Migration and Gender Budget
Authors: - Sudhir Singh Gaur
Published: August 2024

In an era of globalization, economic or labor migration is on the rise. Due to lack of employment opportunities in developing countries and increased demands for low-wage workers in developed countries or states, youth, women and men are pursuing work in other countries or states in order to support themselves and their families back home. Migration is an equilibrium process which reduces regional disparities at a different stage of development and a process which is as old as human civilization. This makes it as important for sociologists to develop empirical research and analysis on migration as it is to include it in their theoretical understandings of contemporary society. The study of migration is linked to research on economic migration but has its own specific research topics, methodological problem and conceptual issues. Migration needs to be analyses as a social process in which human agency and social network play a major part. It gives rise to loss of state control, especially in the context of recent concerns about migration and securest. In this context, it is essential to question entire sociological approaches, which have been based on the principle of relatively autonomous national societies.

This research paper has tried to explain that How to be stopped rural migration In Chhattisgarh. What is the role of gender budgeting in migration?
An Analysis of Social Transformation of Tribal Weekly Market in Coimbatore District
Authors: - K. Kalaiselvi , - G. Jayanthi
Published: August 2024

This study explores the socio-economic impacts of market access on tribal individuals across different ranges in Coimbatore District. It examines four case studies representing various socio-economic backgrounds: Papammal from the Karamadai Range, Kandhasamy from the Periyanaikepalayam Range, Valli from the Coimbatore Range, and Nanjammal from the Bolambatty Range. Through detailed analysis, the study highlights the challenges and benefits of market participation, including transportation difficulties, financial constraints, and the broader social transformations experienced by these individuals. The findings underscore the significant role of market access in enhancing awareness, skill development, health, gender equality, and community development among tribal communities.
The Impact of Multi-Currency System On Public Sector Procurement Performance in Zimbabwe
Authors: - Caroline Hunidzarira , - Ranzi Rusike , - Felix Chari
Published: August 2024

The purpose of the study was to examine the impact of multi-currency system on public sector procurement performance in Zimbabwe using evidence from government ministries of agriculture, defence and local government. In line with the positivism philosophical framework the study used correlational research design, deductive research approach, quantitative research methodology and a structured questionnaire to collect primary data from 171 participants comprising of procurement and finance officers in the three ministries. The study confirmed a statistically significant impact of multi-currency system on public sector procurement performance. All multi-currency system dimensions that include exchange rate fluctuations, foreign currency shortage and multiple currency usage induced inflation were found to significant positive predictors of both procurement cost and supplier price. Exchange rate fluctuations were confirmed to have the greatest positive impact on both procurement cost and supplier price in the public sector.
When the Self is Blue: A Journey through the Bhagavad Gita to Spiritual Healing
Authors: - Dr. Ku. Richa Shrivastava
Published: August 2024

This paper examines how feelings of depression, characterized by a sense of inferiority and dejection, can be transformed into joy and contentment. The author proposes that by aligning oneself with the inherent cheerfulness of human nature, one can transition from despair to happiness. Drawing upon the metaphor of water's resilience, the paper contends that misery is a temporary state that can be overcome through devotion to the divine. This is exemplified by the natural joyousness exhibited by children. The ancient Indian text, the Bhagavad Gita, is explored as a profound source of wisdom that can guide individuals on the path to mental wellbeing.
Depression is an increasingly prevalent mental health concern, characterized by feelings of hopelessness, sadness, and lack of purpose (Bhatia et al.). While modern psychotherapy has developed various techniques to address depression, the application of ancient spiritual wisdom can offer a complementary approach (Bhatia et al) (Dhillon). The Bhagavad Gita, a revered Hindu scripture, presents a comprehensive philosophy for navigating the challenges of the human condition, including the experience of depression (Bhatia et al) (Dhillon).
The Bhagavad Gita, a 700-verse Hindu scripture, is a part of the epic Mahabharata and depicts a dialogue between Prince Arjun and the Lord Krishna, who serves as his charioteer. The text explores the moral and philosophical challenges faced by Arjun as he prepares for battle. Arjun's depression stems from the anticipated loss of life and moral degradation, leading him to question the justification of the war.
Lexical Nominalization in Bodo
Authors: - Amorjit Daimary , - Indira Boro
Published: August 2024

One of the most frequently noted characteristics of Bodo language is the presence of nominalization. Most Bodo nouns are derivational. In this language, nominalized nouns are used in a wide range. Here, the nouns are derived from lexical verbs and lexical adjectives through the suffixation process. Lots of suffixes are employed as nominalizer. The nominalizing suffixes or noun denoting suffixes are the derivational in nature. This paper describes the structure and process of forming lexical nouns in Bodo.
Serological Evaluation of the Anti-coagulant Activity of the Classical Siddha Medicine -‘Veera Mezhugu’ in Wistar Albino Rats
Authors: - Agasthian A , - G.Esakki pandiyan
Published: August 2024

In setting the basis for the management of arterial thrombosis, cardiac ischemic changes followed by any severe coronary atherosclerotic changes or any venous thrombosis, there is a conventional use of Acute thrombolytic agents, Anticoagulants with antiplatelet medications in general.
These symptoms complex are mentioned as Thamaraga vaayu or Ruththira vaayu or Maaradaippu(Acute coronary syndrome) and Uthirakattu(thromboembolism) in siddha literatures.
Veera mezhugu is one of the Siddha formulations chosen from Anuboga vaithiya navaneetham part-4, which is indicated for Uthirakattu and Thamaragavaayu. The drug prepared as per the Siddha literature. The drug has undergone safety studies and the efficacy studies in Wistar albino rats where the serum of the different groups with different doses are compared with the placebo control to evaluate the anti-coagulant potential.
Coagulation profile of the three parameters of Activated partial thromboplastin time(APTT), Prothrombin time(PT) and International normalized ratio(INR) are taken for evaluation and had significant difference between the groups[p<0.05].Serological analysis of the Wistar rats shows significant anticoagulant activity in a dose dependent manner.