bluuebunny/crossref_metadata_2025 huggingface dataset:
Marxism-leninism: the Ideology of Twentieth Century Communism- A Philosophical Reading from Gramscian Perspective
Authors: - Ghosh ks
Published: October 2024

This article explores Marxism-Leninism, the dominant ideology of 20th-century communism, through a philosophical lens rooted in the thought of Antonio Gramsci. By analysing Gramsci's critique of hegemony, state power, and cultural domination, this study re-examines Marxism-Leninism's theoretical foundations and practical applications. Gramsci’s perspective provides a critical assessment of the ways in which Leninist vanguardism and centralized authority both fulfilled and diverged from classical Marxist theory. The article delves into the tensions between the Leninist approach to revolution and Gramsci’s more nuanced understanding of class struggle, civil society, and cultural hegemony, highlighting the implications for revolutionary praxis. This Gramscian reading allows for a reappraisal of the successes and limitations of Marxism-Leninism, particularly in its ability to address the ideological and cultural challenges of maintaining socialist states during the 20th century. Ultimately, the paper argues that Gramsci’s insights offer valuable critiques and alternatives to the orthodoxies of Marxism-Leninism, opening pathways for rethinking communist ideology in contemporary political context.
The 2004 Tsunami Impact on Andaman & Nicobar Islands: Consequences and Future Way Forward
Authors: - Swapan Kumar Biswas
Published: October 2024

The 2004 Indian Ocean tsunami, caused by a powerful undersea earthquake off the coast of Sumatra, resulted in unprecedented destruction across several coastal regions. The Andaman & Nicobar Islands, located near the epicenter, suffered significant loss of life, displacement, and environmental degradation. This paper provides a comprehensive analysis of the tsunami’s impact on the Andaman & Nicobar Islands, detailing the immediate effects, long-term consequences, and rehabilitation efforts. The paper also explores the economic, social, and psychological ramifications of the disaster, particularly on indigenous communities. Looking ahead, it emphasizes the importance of sustainable development, community-based disaster preparedness, and ecosystem restoration to build resilience in the region. The proposed way forward focuses on developing infrastructure that is disaster-resilient, improving disaster management systems, and empowering indigenous communities in rehabilitation efforts to ensure long-term recovery and resilience.
Securing the Future: The Impact of AI on Cybersecurity and Economic Stability in the Banking Industry
Authors: - Mohammad Waish Khan , - Wasim Ahmad Ansari
Published: October 2024

People are unable to handle the volume of data and the complexity of processes required to secure cyberspace without significant automation. However, software and technologies with conventional fixed implementations are challenging to construct in order to effectively protect against security risks. AI learning techniques and machine simplicity can be used to treat this issue. And when we talk about cybersecurity in banking industry then these industries are trying to adopt artificial intelligence to develop a cyber defence system that would reduce unwanted access and cyberattacks. and how cybersecurity contributes to long-term economic growth. Meanwhile, there is a significant technological disruption taking place in the financial sector. It becomes crucial to comprehend the effects of Artificial intelligence (AI) and other technologies on the cybersecurity of banks.
Internship Abroad vs. Local Internship: Effects on BSHRM Graduates' Job Placement and Career Prospects
Authors: - Mildred V. Matulin
Published: October 2024

This study compares the employability of Bachelor of Science in Hotel and Restaurant Management (BSHRM) graduates from the Isabela State University–Cauayan Campus based on their internship profile, focusing on location (abroad vs. local), area of exposure, and duration. A descriptive-correlational research design was used, with purposive sampling of 50 graduates from batches in 2011, 2017, and 2018. Data were collected using a modified CHED Tracer Study Questionnaire and analyzed using descriptive statistics and cross-tabulation. The results showed that graduates who interned abroad were more likely to land their first job abroad, whereas those with local internships found employment within the country. Exposure to dining and front office areas during internships was associated with securing HRM-related jobs after graduation, whereas those primarily exposed to housekeeping were more likely to work in non-HRM fields. The duration of internships did not significantly impact the location of first employment. The findings suggest that internship location and area of exposure influence the employability of BSHRM graduates. Recommendations include evaluating and improving BSHRM internship program design, ensuring a balance between different hotel departments, and strengthening partnerships with local and international industry linkages to provide student-focused internship opportunities. This study offers insights for enhancing internship programs and graduate employability in the hospitality management field.
Deep Reinforcement Learning for Autonomous Driving Systems
Authors: - Sanskar Jadhav , - Vedant Sonwalkar , - Shweta Shewale , - Pranav Shitole , - Samarth Bhujadi
Published: October 2024

Autonomous driving systems (ADS) are poised to revolutionize the future of transportation, promising increased safety, efficiency, and convenience. Deep Reinforcement Learning (DRL) has emerged as a powerful approach to solving complex decision-making tasks in dynamic environments, making it a promising candidate for the development of intelligent autonomous vehicles. This paper explores the application of DRL techniques in autonomous driving, focusing on the integration of perception, planning, and control. We review state-of-the-art DRL algorithms, including Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), and Soft Actor-Critic (SAC), and examine their roles in enabling end-to-end learning for driving policies. Furthermore, we discuss the challenges inherent in deploying DRL in real-world autonomous driving scenarios, including sample inefficiency, safety constraints, and the sim-to-real gap. Finally, the paper presents case studies and experimental results that highlight the potential of DRL to improve autonomous vehicle performance in complex environments, while identifying future research directions to address open problems in the field.
Impact of Plastic Mulching on Soil Properties and Heavy Metal Dynamics in Agricultural Systems: A Case Study from Manikganj, Bangladesh
Authors: - Tasneem Haider Khan , - Anwar Hossain , - Sonia Hossain , - Mortaza Sarder
Published: October 2024

This research study examines the impact of different types and sizes of plastics on various soil properties. Clay loam soil samples were collected from Paril village, Manikganj district, Bangladesh, and subjected to plastic incubation experiments. The plastics underwent 180 days of intense ultraviolet (UV) radiation to simulate natural sunlight degradation. The soil samples were mixed with three types of plastics (P1, P2, P3) and two sizes (1mm, 10mm) in individual pots, with and without the addition of zinc sulfate. The soil properties, including pH, total dissolved solids (TDS), available zinc, cation exchange capacity (CEC), nitrogen content, and total phosphorus, were analyzed using various techniques. The results indicate significant variations in pH and TDS values influenced by plastic size and type. The available zinc content differed among plastic types, and plastic size affected CEC values. Nitrogen content was influenced by plastic size, with smaller particles having a greater impact. Total phosphorus content varied with different plastic types. These findings contribute to our understanding of the potential effects of plastics on soil properties and highlight the need for further investigation into the underlying mechanisms.
Advanced Edge AI Navigation and Assistance System for Blind User
Authors: - Mr.Rajapandi B , - Mrs.Divya M.A
Published: October 2024

- Despite substantial advancements in visual assistance technology, many existing systems are limited by sensor capabilities, computational resources, and power consumption. Traditional computer vision algorithms struggle to perform complex tasks required for real-time navigation. This paper presents the design and implementation of an advanced computer vision-based navigation system specifically tailored for Blender users, aimed at facilitating independent navigation in diverse environments .By leveraging edge Artificial Intelligence (AI) and deep learning methodologies, the proposed system achieves real-time object detection, person recognition, and environmental awareness, addressing the critical challenges posed by conventional systems. The use of cost-effective, low-power mobile computing platforms, such as smart depth sensors like the OpenCV AI Kit-Depth (OAK-D), enables efficient processing while ensuring portability. This system not only enhances the ability to identify and navigate obstacles but also incorporates additional functionalities, including reading written notices aloud and responding to traffic signals. Key design considerations, such as training data collection, computational efficiency, and portability, have been meticulously addressed to ensure reliable performance in real-world scenarios. The incorporation of an AI-driven voice interface facilitates user-friendly interaction, making this system an innovative and unobtrusive visual assistance device.
A Non-Linear Control Technique for Single Phase qZSI
Authors: - Sameer Ahamed , - R.Elanthirayan , - Vishnu V
Published: October 2024

Quasi-Z-source inverters, or qZSIs, are a common type of inverter used in transformer-less systems because they can boost or buck input voltage without a requirement for a DC- DC converter. A transformer is not necessary for the qZSI's single-stage conversion to operate as a grid-tie converter. In transformer-less designs common mode current is the major problem, though, because there is no galvanic isolation. To reduce the common mode current, this article offers controlling the qZSI using a modified pulse width modulation (PWM) approach two additional semiconductor switches. The developed methodology provides a practical means of integrating solar photovoltaic systems into the grid. what the recommended topology's attributes should be:
1)It uses the phase-leg shoot through to boost the direct current and voltage to required level by eliminating the need for a second dc-dc converter.
2) Freewheeling is achieved while removing PWM deadtime by employing extra linked switches.
Green Poison : A Sustainable Approach to Use Plant Toxin as an Anticancer Agent
Authors: - Mukund A Gulhane , - Shailesh G Jawarkar , - Bhavna S Sharnagat
Published: October 2024

The rising interest in plant-derived phytochemicals as cancer therapies has revealed numerous bio-active compounds with potent therapeutic potential. Compounds like vinca alkaloids, taxane , and berberine exhibit diverse biological activities, including anti-tumor, proving effective against various cancer types. Despite the toxicity of some medicinal plants, this feature can be harnessed for drug discovery, offering new treatments for cancer. Plant metabolites target tumor growth by inhibiting tumor-promoting enzymes, repairing DNA, and boosting immune responses. Compounds like vinblastine disrupt micro-tubule dynamics, while curcumin inhibits cancer cell proliferation. Toxic plant-derived metabolites, such as podophyllotoxin and camptothecin, demonstrate unique cancer-fighting mechanisms by targeting topoisomerases and inducing apoptosis. Integrating these phytochemical promise for advancing cancer prevention and treatment, offering more sustainable and effective options.
An Overview of Non-fictional Literature in English About Partition of Indian Subcontinent
Authors: - Sonkamble Ullas Ramkishan
Published: October 2024

It is said that literature is the mirror of the society. The reflection of the partition of India can be seen in the partition literature. Partition literature has mainly been divided into two types. First is fictional partition literature and second is non-fictional partition literature. Fictional partition literature sheds light on the partition of India through a fictionalised manner and is seen more as an art. Non-fictional partition literature talks about real life events and happenings that took place during the partition. They are presented by real life people such as eye-witnesses, survivors and their descendants and are penned and documented by writers from both India and Pakistan based on true events, stories that have been passed down from generations to generations. Fictional partition literature revolves around the partition with an essence of love stories and artistic expressions where as non-fictional partition literature is made of the actual experiences and does not contain artistic expressions.
Exploring Academic Well-Being Of College Students In The Digital Age: Evaluating YouTube's Impact As An Educational Resource
Authors: - Shankari S. , - Priyadharshni M.
Published: October 2024

Social media has strongly influenced various aspects of our everyday walks of life. During the pandemic, Online education tools and techniques have taken over from the traditional face-to-face teaching-learning method of chalk and board. As a good digitalized teaching medium, YouTube has now emerged to satisfy Generation Z's needs. With its ground-breaking approach to audio-visual learning, YouTube has simplified and revolutionized teaching and learning. YouTube has shown to be a successful educational tool since it links academics, educators, and research investigators across the globe and provides intriguing, enlightening, and entertaining content. This has given education a new dynamic perspective by fostering innovation and creativity. Hence, the objective of the current study is to investigate the various factors that influence the use of YouTube as a learning tool, which also influences the academic well-being of college students in the digital era. Structural Equation Modeling was applied to evaluate the influence of key constructs like Information Quality, Information Usefulness, and Information adoption on the Academic well-being of the students in digital format. The study confirms the significant effect of YouTube as a learning tool on the academic well-being of Undergraduate students of Arts, Science and Humanities disciplines.
An Evaluation of Assets Quality of Selected Public and Private Sector Banks in India
Authors: - Muthyala Geetha , - R. Nageswar Rao
Published: October 2024

The banks performance within a nation needs to be thoroughly assessed, as it plays a crucial role in influencing the country's economic health. This study aims to analyse and evaluate the asset quality of sample Indian public and private sector banks over a ten-year period, from the year 2013-14 to 2023. Banks were chosen based on their market capitalization and net profit, including major public sector banks such as SBI, BOB, and PNB, alongside leading private sector banks like HDFC, ICICI, and KOTAK Bank. The financial performance analysis employs the CAMEL rating model, focusing on the acronym "E." The CAMEL model parameters include Capital Adequacy Ratios (C), Asset Quality Ratios (A), Management Efficiency Ratios (M), Earnings Quality Ratios (E), and Liquidity Ratios (L). The results are analyzed using descriptive statistics. Data for this study were gathered from bank websites, and the CAMEL Model Asset Quality Ratios were applied after processing and organizing this information. Hypothesis testing involved calculations using simple averages and One-way ANOVA. The analysis of the data indicated that private banks excelled in all the ratios of the Asset Quality Parameter than the public banks. Hypothesis testing showed that there is no significant difference between the performance of public and private sector banks when it comes to the asset quality parameter.
Political Participation Among Scheduled Castes: A Study on West Godavari District, Andhra Pradesh
Authors: - Kondapalli  Srinivasu , - Peteti  Premanandam
Published: October 2024

Political Participation Among Scheduled Castes:
A Study on West Godavari District, Andhra Pradesh
“One of the penalties for refusing to participate in politics is that you end up being governed by your inferiors”.
―Plato
“Plato had no perception of the uniqueness of every individual, of his incommensurability with others, of each individual as forming a class of his own. He had no recognition of the infinite diversity of active tendencies, and the combination of tendencies of which an individual is capable.”
― Dr. B. R. Ambedkar, Annihilation of Caste

KONDAPALLI SRINIVASU, M.A.
Research Scholar
Department of Political Science and
Public Administration
Andhra University, Visakhapatnam
PETETI PREMANANDAM
M.A., B.L., B.Lisc., PGDSM., Ph.D.
Professor and Head of the Department
Department of Political Science and
Public Administration
Andhra University, Visakhapatnam
ABSTRACT
India's democracy is the largest among countries in the world. The National Election Commission Report of India listed 900 million eligible voters, 468 million male and 432 million female. These Indian voters were spread over 29 states. A notable element of the 2019, 17th Lok Sabha Election was the participation of 15 million first-time voters aged 18–19. Only 14.39 percent of the 2019 Parliament was female, with 78 MPs. In comparison, 85.61 percent of the group was male (464). General Elections 2019, the National Election Planner, reports 3,66,61,315 Andhra Pradesh voters. According to NEP data, AP has 18,123,437 men, 18,474,714 women, and 3,745 others as voters. The Electoral Roll 2019 contains 56,908 services and 2,511 abroad Indian electors. Female voters grew by 3,51,277, or 1.93 percent. Andhra Pradesh has 539,804 18–19-year-old voters. Political engagement and understanding are essential to any political system. These tools make voters efficient and link them to politics. The International Encyclopaedia of Social Sciences defines political involvement as the main way a democracy grants or revokes consent and holds power accountable to the people. It includes voting, acquiring information, discussing and persuading, attending meetings, donating, and communicating with representatives. Democracy and political participation are linked. Participation lets citizens express their interests. It fosters national stability and organization. It maximizes benefits for most people. Scholars define political participation differently depending on how they understand the different sorts of political activity. Growth generally requires involvement. The UNDP's "Human Development Report 1993" lists four interconnected forms of involvement: family, economic, socio-cultural, and political.
The Future of Healthcare Data Governance AI-Enabled ETL Testing Frameworks on Data Warehousing Testing automation using ML, AI and NLP
Authors: - Arun Kumar Ramachandran Sumangala Devi
Published: October 2024

The healthcare sector enhances the integration of artificial intelligence, natural language processing and machine learning in data governance for developing automation procedures. Data management offered AI-powered ETL testing with the adoption of an automation framework for resolving data governance issues . This insight promotes operational efficiency with assurance of data quality that empowers data security by ML, AI and NLP frameworks. The framework allows healthcare institutions to arrange unstructured data in effective insights into patient care and treatment procedures. Advanced analytics leads to the development of predictions on patient outcomes in treatment procedures. The automated process of ETL improves efficient information collection by NPL with the creation of predictive models in monitoring data management by ML
Impact of Loneliness on Life Satisfaction among Students
Authors: - S. Azra Tabassum , - Asma Parveen
Published: October 2024

Loneliness is an unpleasant emotional response to lack of connectedness or communality with others, both in the present and in the future. It is serious issues among students that make them feel hollow or empty inside that further affect their life satisfaction. The sample of the study involved 100 students (male = 50 and female = 50) from 18 to 25 yrs. The Revised UCLA Loneliness Scale and Satisfaction with Life Scale was used to measured loneliness and life satisfaction. The Pearson’s product-moment of correlation and independent t-test was calculated and the result shows a significant negative association for loneliness and satisfaction with life among both male and female.
A Case Report on Methotrexate Overdose Induced Pancytopenia and Toxic Epidermal Necrolysis
Authors: - Rahul Nikhumbe , - Aniket Agarkar
Published: October 2024

Methotrexate is commonly used for autoimmune diseases including rheumatoid arthritis, psoriasis, sarcoidosis, and eczema due to its anti-inflammatory and immunosuppressive effect. The following report describes the case of a 48-year-old female presenting with complaints of fever, erythematous rash and blister over upper limb and oral hemorrhagic mucositis. She was previously diagnosed with rheumatoid arthritis and left sided poliomyelitis and was on methotrexate 15 mg weekly, but the patient had taken it daily resulting in toxicity. she was hospitalized, treated with folic acid, injection leucovorin & inj. filgrastim. Our case highlights the importance of counselling to ensure adherence to the correct methotrexate treatment regimen to prevent toxicity and its side effect.
Role of Workplace Culture on Organizational Commitment of Private College Teachers: Mediating Effect of Professional Development
Authors: - M. Hayath Oogos Mohaideen , - C.S. Edhayavarman
Published: October 2024

The research investigates the complex dynamics between workplace culture, organizational commitment, and professional development among 489 private college teachers in Madurai district. Utilized purposive sampling, a structured questionnaire is employed for primary data collection. Percentage analysis is applied to examine the demography of teachers, providing a comprehensive understanding of the sample composition. The study employs Structural Equation Modeling to scrutinize the causal relationships among workplace culture, organizational commitment, and professional development. Additionally, Analysis of Variance is utilized to assess the impact of teachers’ demographic variables on the research constructs. Findings revealed that learning and adaptability, institutional support, and job engagement play crucial roles in shaping workplace culture, while the latter significantly influences organizational commitment. Furthermore, professional development partially mediates the relationship between workplace culture and organizational commitment. In contrast, gender and designation show no significant effects, but age, academic status, and salary exhibit substantial impacts, emphasizing their pivotal roles in influencing institutional support, job engagement, workplace culture, professional development, and organizational commitment among private college teachers.
A Critical Review on Sentiment Analysis Based on Deep Learning Techniques
Authors: - Ankit Kumar , - Nitesh Gupta , - Anurag Shrivastava
Published: October 2024

Sentiment analysis, a vital task in natural language processing, has evolved significantly with the adoption of deep learning techniques. This review critically examines the current state of sentiment analysis based on deep learning methods, focusing on their performance, scalability, and challenges. We explore key deep learning models such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), Long Short-Term Memory (LSTM), and attention mechanisms. These models have shown remarkable improvements in sentiment prediction accuracy compared to traditional machine learning approaches. However, issues like data scarcity, interpretability, and computational complexity remain challenging. This review provides insights into existing solutions, evaluates emerging trends, and outlines future directions to enhance deep learning applications in sentiment analysis across diverse domains.
Predicting and Evaluating Water Quality using Machine Learning in Maharashtra, India
Authors: - Sanaya Kotwal
Published: October 2024

Water quality is critical for public health and environmental sustainability, necessitating effective monitoring to prevent contamination. In this study, we focus on predicting and evaluating water quality in Maharashtra, India, using machine learning techniques. Groundwater contamination in Maharashtra is a significant issue due to poor waste management, yet research in this area is limited. Traditional water quality monitoring methods involve complex calculations based on fixed parameters, which can lead to errors. This study aims to streamline the monitoring process by identifying the most significant features, thereby saving time, money, and energy. We calculated the Water Quality Index (WQI) using the Weighted Arithmetic Mean method, analyzing data from 2012 to 2022 from the National Water Monitoring Program in India. The analysis identified three key parameters, BOD, pH, and Fecal Coliform, as most correlated with the WQI. Machine learning techniques, including regression and classification, were employed to predict WQI and Water Quality Classification (WQC). The results indicate that Polynomial Regression and Ridge Regression achieved high accuracy in predicting the WQI, while the Decision Tree classifier excelled in WQC classification. This research demonstrates the potential of machine learning to enhance water quality monitoring, offering a cost-effective solution for managing water resources in Maharashtra.
Is Click Fading the Brick Experience of Buyers During Festivities?
Authors: - Sushmita Singh
Published: October 2024

This study explores the impact of technology and e-commerce on the festive shopping experience of Indian consumers. It highlights the shift from traditional in-store shopping to digital interactions and analyzes how brands enhance physical store experiences to increase foot traffic during the festive season. Findings suggest that while online shopping offers unparalleled convenience and a broad product selection, retailers must innovate and adapt to retain the charm and emotional connection associated with in-store shopping. This research aims to provide insights for both retailers and consumers regarding the evolving shopping landscape.
A Summarized and Complete Review on Hypertension: Focusing the Audience of Diploma Pharmacy for Basic Understanding
Authors: - Chanda Malviya
Published: October 2024

Hypertension (HTN) commonly known as high blood pressure has become one of the most detrimental and life-threatening condition for public health. High blood pressure does not merely affect the heart muscles, but it is also a root cause of multiple dysfunctions of other systems. Untreated blood pressure can cause cardiac problems, ischemic conditions, stroke, renal difficulties, and optic nerve damage. One of the most problematic cause is “silent killer” which means high blood pressure demolishes and worsens the health of the affected person without showing any symptoms till the blood pressure reaches too high. HTN is a life-threatening problem that can be controlled and managed by medicinal or herbal products. This review contains the background, etiology, pathophysiology, and current treatments for high blood pressure. This review aims to deliver basic knowledge or understanding of HTN and management by using drug products with their mechanism of action.
वैशाली जिला के असंगठित क्षेत्रों में कार्यरत महिलाओं के कार्य-सम्बन्धी अधिकारों के ज्ञान का आकलन
Authors: - Dr. Nibha Kumari
Published: October 2024

महिलाओं की स्थिति किसी भी राष्ट्र के विकास का एक महत्वपूर्ण संकेतक है। विभिन्न कार्य क्षेत्रों (संगठित एवं असंगठित) में महिलाओं की भागीदारी बढ़ती ही जा रही है। संगठित क्षेत्र वें है जहाँ रोजगार की शर्तें निश्चित और नियमित होती हैं, कर्मचारियों को सुनिश्चित काम मिलता है और रोजगार सुरक्षित होता है। प्रत्येक कार्य क्षेत्र के अपने कुछ अधिनियम होते हैं एवं अधिनियम के अंतर्गत बहुत सारे अधिकार होते हैं। प्रत्येक कार्यरत महिलाओं को अपने कार्यक्षेत्र से संबंधित अधिकारों की विस्तृत एवं अद्यतन जानकारी होनी चाहिएए जिससे समय आने पर वें अपने लिए तो उपयोग कर हीं सके, साथ हीं जरूरत पड़ने पर दूसरे का भी मार्गदर्शन कर सकेंए परन्तु स्थिति ऐसी नहीं है। वस्तुस्थिति की सम्पूर्ण जानकारी प्राप्त करने के लिए प्रस्तुत शोध का चयन किया गया।
Unveiling the NEP 2020: A Critical Analysis of the Implications on Privatization and Potential Monopolies in Education
Authors: - Pramod Kumar K V
Published: October 2024

This paper critically examines the transformation of higher education financing in India, particularly in light of the National Education Policy (NEP) 2020. It highlights the diminishing role of state funding and the increasing financial burden on households, analyzing the implications for privatization and monopolization within the education sector. Historical context reveals a shift towards neoliberal policies prioritizing profit over egalitarian ideals, culminating in a landscape where market dynamics intertwine with political ideologies. The paper scrutinizes key recommendations from the Ambani-Birla Report and the NEP, emphasizing the risks of commercialization and exclusion. Ultimately, it argues that NEP 2020 may undermine established educational structures and neglect constitutional values, reinforcing a corporate Hindu narrative that jeopardizes the promise of a democratic and equitable education system in India.
Knowledge And Attitude Regarding Rabies Prevention Among Adults Residing Under The Field Areas Of Medical College Health Unit, Pangappara
Authors: - Anjali Krishnan B , - Anitha K S , - Retheesh K H
Published: October 2024

ABSTRACT
Rabies has been one among the most dreaded diseases to man since antiquity. The present study was intended to assess the knowledge and attitude regarding rabies prevention among adults residing under the field areas of Medical College Health Unit, Pangappara. The objectives of the study were to assess the knowledge and attitude regarding rabies prevention, to assess the practice regarding rabies prevention, to find out the correlation between knowledge and attitude and to find out the association between knowledge of adults regarding rabies prevention with sociodemographic variables. The research approach adopted for the study was quantitative and the data was collected from 408 participants. The study design was cross sectional design and participants were selected using cluster sampling technique. Socio demographic data and the knowledge were assessed using an interview schedule, attitude and practice were assessed using a five point Likert scale and a checklist respectively. Data analysis was carried out using both descriptive and inferential statistics. The results showed that 47.1% had good knowledge,28.4% had average knowledge and 24.5% had poor knowledge regarding rabies prevention and 38% of adults had positive attitude,36% had uncertain attitude and 26% had negative attitude towards rabies prevention,45.9% reported good practice after an animal bite. The study revealed that there was a moderate positive correlation between knowledge and attitude (r = 0.443 and p < 0.05) and there was a significant association between knowledge of adults regarding rabies prevention with age, socio economic status and adults participation status in rabies prevention campaign. The study concludes the necessity for preventing the mortality by dog mediated Rabies.
Anthropomorphism as an art of storytelling: Exploring Aesthetics and Ethical Implications in Children’s Literature
Authors: - Shubhangi Soni
Published: October 2024

Animals are extremely important to children’s books. Among other narrative functions, animals serve as essential metaphors for understanding the human animal. They provide emotional comfort, stimulate imagination, and offer a safe space for exploring complex themes, all of which contribute to children's emotional and cognitive development. Beyond their psychological appeal, animal characters in children's literature also offer significant educational value. This paper explores the aesthetics and ethical implications of anthropomorphism in Children’s Literature. Anthropomorphism is transmitted in kids through storytelling and then in the form of print media. It enhances the cognitive skills in children. The concept can be used in many ways to inculcate moral lessons in children. It teaches how to look at life. Kids learn to deal with their emotions. The paper analyses the stories of Panchatantra and Aesop’s Fables and the concept of Anthropomorphism and how it is used in children’s stories to understand and give a persona to the creatures who live alongside humans.
Analysing the breakdown of Astronomical Theories
Authors: - Ishaan Agarwal
Published: October 2024

This paper investigates the limitations of Newton's law of gravity, general relativity, special relativity, dark matter, dark energy, and the big bang theory in describing the universe's origins, development, and properties. It aims to illuminate the boundaries of these theories, furthering our understanding of where these theories apply and how their alternative solutions address their problems. By evaluating these theories, this research aims to provide an assessment of our current understanding of the universe and identify the primary obstacles and future directions in cosmological research.
Mapping the Path to Sustainability: A Study on Household Renewable Energy Adoption Trends
Authors: - Diya Sharma
Published: October 2024

This study investigates household renewable energy adoption trends in Rohini, Delhi, with a focus on women and climate change mitigation. The transition to renewable energy is crucial for combating climate change and reducing environmental impact. This research surveys 50 households to assess awareness, attitudes, and adoption barriers and drivers for renewable energy
technologies owing to climate change. Findings reveal that while many are aware of government incentives and express a willingness to adopt renewable energy, actual implementation is hindered by high costs, lack of information, and technical challenges. Key drivers include environmental concerns and financial savings. The study suggests enhancing adoption through improved financial incentives, community education, and women-focused initiatives. Addressing
these factors can foster broader adoption of renewable energy, contributing to effective climate change mitigation strategies.
Customer Perception of Financial Performance of the State Bank of India and Its Associate Banks Before and After the Merger
Authors: - Manohar B , - C. K Hebbar
Published: October 2024

This study explores customer perceptions of the financial performance of the State Bank of India (SBI) and its associate banks before and after their merger. The primary objective is to evaluate the financial performance of SBI and its associates, comparing pre- and post-merger scenarios. The study hypothesizes that customers perceive the performance of SBI post-merger to be significantly better than before the merger. A descriptive and analytical approach was employed, utilizing primary and secondary data. Primary data was collected through a structured questionnaire distributed among bank employees across various SBI branches in Karnataka. The data was analyzed using SPSS software, employing descriptive statistics such as mean, standard deviation, and percentage to assess the impact of the merger on SBI's performance. Advanced statistical methods were also applied to test the hypotheses, including Factor Analysis, Linear Regression, Pearson Correlation, Chi-Square Test, and One-way ANOVA. The results indicate significant improvements in customer perceptions of SBI's performance post-merger, affirming the hypothesis. This study provides a comprehensive analysis of the effects of the merger on SBI's financial performance, highlighting the importance of customer perception in evaluating the success of such corporate restructuring efforts.
Molecular Docking Studies of Tribulus Terrestris Phytochemicals Against Bovine Mastitis Caused by Methicillin-resistant Staphylococcus Aureus
Authors: - Saminu Muhammad Saminu , - Ramgopal Dhakar , - Pankaj Kumar Teli , - Umar Aliyu Adamu , - Aliyu Usman Maaji
Published: October 2024

Bovine mastitis caused by methicillin-resistant Staphylococcus aureus is among the diseases capable of transferring from animal to human. It often leads to the development of antibiotic-resistant genes in both humans and animals. It is marked by the failure of the active-serine site of the blaZ gene in association with mecA to hydrolyze antibiotics which will inhibit the production of the beta-lactamase enzyme. This research aims to assess the interactions and binding affinities of Tribulus terrestris phytochemicals and important bacterial proteins involved in bovine mastitis. The research process begins with the identification of important bacterial proteins responsible for bovine mastitis and then the preparation of protein and ligand structures. Consequently, docking was performed, and interactions between protein-ligand were analyzed and visualized. Four phytoconstituents of Tribulus Terrestris (2,7-Diphenyl-1,6-dioxopyridazino [4,5:2',3'] pyrrolo [4',5'] pyridazine, gitogenin, tigogenin, and hecogenin) were chosen, and molecular docking simulations revealed all the four compounds exhibit good binding affinities. The docking scores of the ligands with blaZ are as follows; 2,7-Diphenyl-1,6-dioxopyridazino [4,5:2',3'] pyrrolo [4',5'] pyridazine (-7.9), gitogenin (-8.9), tigogenin (-8.9) and hecogenin (-9.0). Also, the docking scores of the ligands with mecA are as follows; 2,7-Diphenyl-1,6-dioxopyridazino [4,5:2',3'] pyrrolo [4',5'] pyridazine (-9.4), gitogenin (-6.4), tigogenin (-6.5) and hecogenin (-6.8). Based on the predicted ADMET values using the Lipinski and Veber rule, compounds with potentially good activities were identified. The results suggest that only tigogenin is likely to exhibit antibacterial activity by binding with the active-serine site of blaZ
Efficient Ship Detection System for Maritime Surveillance using Deep Learning Approach
Authors: - Joel Sharon Rubikumar
Published: October 2024

The usage of drones in maritime surveillance is a very effective means to observe ships. As the ship detection is vital for applications such as port monitoring, cross-border surveillance, Moreover, it is not only vital for maritime surveillance but also environmental conservation. Despite its effectiveness, the drone-captured images present itself with its own challenges, specifically when leveraging on a custom dataset which is tailored for specific application. To address the issues, we propose a novel ship detection approach called YOLOv9 with Adan optimizer (YOLOv9-Adan) which is more accurate to increase the efficiency of maritime surveillance. The YOLOv9-Adan model integrates the robust object detection capabilities of the adaptive learning capabilities of the Adan (ADAptive Nesterov momentum algorithm) optimiser, trained on the drone image dataset comprising 3200 images of maritime scenes and ship types in drone view. Our model is trained on a drone-image dataset comprising 3200 images of maritime scenes and ship types in drone views collected from various sources. The experimental results show that our approach using the YOLOv9-Adan model achieves 65.5% mAP, which exceeds the mAP of YOLOv9 by 4.3%. Additionally, This article also provides a comparative analysis of our model YOLOv9-Adan with other existing models in literature with consistently surpassing existing approaches
Elements to Social Media Success: Analyzing Fashion Trends and Performance Factors on Instagram
Authors: - Michelle Xuan , - Ada Heinrich
Published: October 2024

Trends are the catapult to success for accounts on social media. And though many creators and businesses follow similar trends, only a select number reach their desired results. Previous research has only gone as far as explaining the significance of social media in the fashion industry, as well as the power of trends in the digital realm. This study evaluates 10 Instagram posts under the #sweatervest trend, categorizing them into successful and unsuccessful based on engagement metrics to assess which factors—relevance, interactiveness, use of familiar concepts, innovation, and entertainment—most contribute to performance. Findings conclude a generally positive relationship between each factor and the performance of the content. These elements together serve as a "formula" or "recipe" on how to make successful content when following a social media trend.
АНАЛИЗ И РЕШЕНИЕ ПРОБЛЕМЫ УТИЛИЗАЦИИ И ВТОРИЧНОЙ ПЕРЕРАБОТКИ ПОЛИЭТИЛЕНТЕРЕФТАЛАТ (ПЭТ) ОТХОДОВ В ГОРОДЕ ГУБЕ
Authors: Нармина Алиева Нармина Алиева
Published: October 2024

В данной работе представлен анализ проблемы утилизации и вторичной переработки полиэтилентерефталат (ПЭТ) отходов в городе Губе. ПЭТ является одним из наиболее широко используемых пластиков, однако его отходы представляют значительную угрозу для окружающей среды из-за продолжительного времени разложения. В работе рассматриваются текущие проблемы переработки ПЭТ, включая отсутствие раздельного сбора отходов, недостаток перерабатывающей инфраструктуры и экономическая невыгодность переработки. Для решения этих проблем предложены такие меры, как внедрение раздельного сбора мусора, строительство перерабатывающих предприятий, экономическое стимулирование переработки и проведение образовательных кампаний среди населения. Рассматриваются современные технологии переработки ПЭТ, такие как механическая, химическая и термохимическая переработка. Реализация данных решений позволит снизить объем пластиковых отходов и улучшить экологическую ситуацию в городе.
Ключевые слова: ПЭТ отходы, утилизация, вторичная переработка, раздельный сбор мусора, экологическая проблема, механическая переработка, химическая переработка, термохимическая переработка, город Губа, полиэтилентерефталат.
MULTIFAZALI AXIN ZONALARININ DIAQNOSTIKASI
Authors: Fidan İsmayılova, Məhəmməd Şükürlü Fidan İsmayılova, Məhəmməd Şükürlü
Published: October 2024

Neftqazçıxarmada və karbohidrogenlərin nəqli zamanı multifazalı axınlar çox geniş yayılmışdır. Ümumiyyətlə multifazalı boru kəmərlərinin istismar təcrübəsi göstərir ki, boru kəmərində təzyiq nəql olunan mühitin buxar elastikliyi təzyiqinə bərabər olduğu halda baş verən “qaynama” hesabına boru xəttində buxarlarla dolan boşluqlar yaranmış olur. Təhlillər göstərir ki, multifazalı zonaların yaranması daha çox aşırım nöqtəsi olan reylefli boru kəmərlərində müşahidə olunur. Qey olunan axın zonalarının yaranması nəql xərclərini artırmaqla yanaşı kəmərlərdə disbalansın da yaranmasına səbəb olur. Kəmərdə sürtünməni artırmaqla nəqlin səmərəliliyin ə və etibarlılığına mənfi təsir göstərən bu cür zonaların vaxtında aşkar edilməsi və koordinatlarının müəyyən edilməsi çox vacib məsələdir.
Məqalədə, qeyd olunanları nəzərə alaraq, həmçinin reylefin, başlanğıc və son təzyiqlərin rolu araşdırılmış, stasionar axınlar zamanı multifazalı zonaların yeri və sayının diaqnostikası məsələlərinə baxılmışdır. Bu məqsədlə metodika təklif edilmişdir.
Açar sözlər: multifaza, stasionar rejim, həndəsi basqı, aşırım nöqtəsi, basqı itkisi.
HETEROGEN AXINLARDA TƏZYİQ DÖYÜNTÜLƏRİNİN AZALDILMASI
Authors: Qafar İsmayılov, Hikmət Bəbirov Qafar İsmayılov, Hikmət Bəbirov
Published: October 2024

Quyu-yığım sisteminin iş təcrübısi göstərir ki əksər hallarda bu sistemlərdə multifazalı heterogen axınlar mövcud olur. Bu cür axınlar hal-hazırda dəniz karbohidrogen yataqlarının istismaarı zamanı daha geniş yayılmışdır.Təcrübə göstərir ki heterogen axınıarın mövcudluğu şəraitində quyu-yığım sistemlərinin işi bir çox hallarda müxtəlif çətinliklər və mürəkkabləşmələr səbəbindən xeyli pisləşir və əlavə enerji xərcləri yaranmış olur. Bu cür mürakkabləşmələrdən geniş yayılanlardan biri multifazalı axınlarda ziyannlı təzyiq pulsasiyalarının baş verməsidir. Təhlil göstərir ki, bu cür pulsasiyaların amplitudu hətta bir neçə atmosferə çata bildiyi üçün sistemdə təzyiq itkilərinin artırmaqla yanaşı qorxulu qəza hallarınln da baş vermə ehtimalının xeyli artırmış olur.Qeyd olunanları nəzərə alaraq məqalədə heterogen axınlarda baş verən təzyiq pulsasiyalarının azaldılması məqsədi ilə təkliflər irəli sürülmüşdür.Bunlardan biri axının reofiziki xarakteristikasını nəzərə almaqla söndürücülərin hansı qanunauyğunluqla fəaliyət göstərməsinin düzgün seçilmısi ilə bağlıdır.Heterogen axınların relaksasiya xüsusiyyətlərini nəzərə nəzərə almaqla (müəyyən reofiziki xarakteristikalar yaratmaqla) axın parametrlərinin seçilməsi əsasında ziyanlı pulsasiyaların səviyyələrinin xeyli azaldılmasının mümkünlüyü göstərilmişdir.
Məqalənin məqsədi, Xəzər dənizindəki neft və qaz yataqlarının hasilatında istifadə olunan sualtı çoxfazalı boru kəmərlərində təzyiq pulsasiyalarını azaldaraq sistemin effektivliyini artırmaqdır. Məqsəd, heterogen axınlarda təzyiq pulsasiyalarının təsirini azaldan idarə olunan üsulların işlənib hazırlanması və bu üsulların effektivliyinin qiymətləndirilməsidir. Xüsusilə, pulsasiyalı axınların təsirini minimuma endirmək və boru kəmərlərində hidravlik itkiləri azaltmaq üçün reoloji xassələrə və axın parametrlərinə əsaslanan həllər təqdim etməkdir. İşdə həmçinin ziyanlı pulsasiya hallarının qarşısının alınması (azaldılması) məqsədilə heterogen axının fırladılması üsulundan istifadə olunması təklif olunmuşdur. Belə ki, bu cür axınların fırladılması hesabına təzyiq pulsasiyalarının azaldılması laboratoriya şəraitində sınanılması zamanı öz təstiqini tapmışdır.
Məqalədə qeyd olunan hər iki üsulun quyunun atqı xətlərinində baş verən təzyiq pulsasiyalarının azaldılması məqsədilə tətbiq olunmasının perspektivliyi vurğulanmışdır.
Açar sözlər: heterogen axınlar, separasiya, təzyiq pulsasiyasi,axının fırladılması,amplituda.