bluuebunny/crossref_metadata_2025 huggingface dataset:
Translating Content Loaded with Complex Cultural Content: Striking the Balance between Human Expertise and Machine Translation
Authors: - Ahmed Ennouari , - Khalid El HOUSNI
Published: December 2024

Translating culturally loaded texts is considered a daunting challenge in the translation field. While machine translation is adept at linguistic aspects, it often struggles to convey the nuanced cultural features inherent in cultural texts mainly traditional Arabic proverbs and anecdotes under study in this endeavor. This emphasizes the vital role of collaboration between machine efficiency and human expertise in ensuring accurate and authentic translation. This study explores the intricacies of translating culture-rich content by comparing between machines flaws even when assisted by artificial intelligence, and human translators’ expertise limitations. The comparison has revealed weaknesses in both machine and human translations, prompting the call for collaborative approach between the two methods. This study measures the limits of human translators with computer assisted translation from Arabic to English; first comparing between them then combining machines and humans performances. The translated case studies have proven the efficiency and accuracy of collaborative translation method. The aim is to optimize translation of cultural sensitive content, preserve cultural integrity and elevate authenticity and quality. The findings inform the discourse in translation studies and cross-cultural communication, offering practical insights to enhance translation quality and authenticity based on collaboration among machine translation developers, linguists, and cultural experts. As AI progresses, the synergy between machines and human translators shows potential to exceed current capabilities, facilitating more effective communication in diverse contexts.
Limnological survey of tighra reservoir, gwalior, M.P
Authors: - Priti Soni , - Preeti Upadhyay
Published: December 2024

The present paper deal study of Physico- chemical parameter in water of Tighra reservoir of Gwalior (M.P) the water of Tighra reservoir is life line of Gwalior city. Water is more useful of animal and plant as well as provided natural habitat of them. The biota of surface water is governed by various environmental Condition. The water of this reservoir is used for fish culture, irrigation, in industries, domestic and drinking purpose. The present study was carried out one year from January -2023 to December -2023. During investigation period physico-chemical parameter of water in Tighra reservoir like temperature, Ph, Transparency, Turbidity, sodium (Na+), potassium(k+), alkalinity, TDS, chloride , Conductivity, CO₂, Dissolved Oxygen, Total Hardness, Hardness Ca, Hardness Mg, BOD, COD, Nitrate, Chloride, were analysed. Most of the physico-chemical parameter are under permissible limit of NEERI. Keyword:- Tighra, Physico- chemical Parameter, water, Reservoir.
Financial Inclusion as a Catalyst for Economic Empowerment: Insights from Goalpara District, Assam
Authors: - Abdul Wakil Ali
Published: December 2024

Financial inclusion, which offers affordable financial services to disadvantaged and low-income populations, is crucial in economic empowerment. Many global economies, including India, view this concept as a vital goal for promoting economic growth and social equality. Despite the long passage of time during the planning era in India, many people need more formal financial services. It is a sheer fact that about 40% of Indian households remained unbanked till 2014. This means that this portion of people has no savings and investment habits as they are excluded from institutional financial services. Considering the importance of financial inclusion of the poorer section, the Government of India (GOI) has initiated a holistic scheme, “Pradhan Mantri Jan Dhan Yojana” (PMJDY), under the leadership of the Prime Minister. In response to this initiative, this research seeks to evaluate the status of financial inclusion and its impact on economic empowerment, explicitly emphasizing the Muslim community in the Rangjuli Tribal Development (TD) Block of Goalpara District, Assam.
Machine Learning for Real-Time Anomaly Detection
Authors: - Amarnath Immadisetty
Published: December 2024

Machine learning-driven anomaly detection has emerged as a transformative technology across multiple
industries, revolutionizing how organizations identify and respond to unusual patterns in their data
ecosystems. This comprehensive article explores the theoretical foundations and practical applications of
machine learning in anomaly detection, with particular emphasis on four key domains: financial fraud
detection, industrial IoT predictive maintenance, cybersecurity threat detection, and healthcare
diagnostics. The article examines the evolution from traditional statistical methods to advanced deep
learning architectures, including autoencoders and specialized neural networks, while addressing critical
implementation challenges such as data preprocessing, model selection, and scalability considerations.
Through detailed case studies and performance metrics, we demonstrate how these systems achieve
superior accuracy in real-time anomaly detection while significantly reducing false positives. This article
reveals that organizations implementing ML-based anomaly detection systems report an average 35%
reduction in detection time and a 40% improvement in accuracy compared to traditional rule-based
systems. This article also highlights emerging trends and future directions, including the integration of
explainable AI techniques and federated learning approaches to address privacy concerns. This article
provides valuable insights for practitioners and researchers in the field, offering a structured framework
for implementing robust anomaly detection systems while considering industry-specific requirements and
constraints.
Socio-Economic Characteristics of Beneficiary and Non-Beneficiary Respondents in Mahanadi Basin, Chhattisgarh
Authors: - Dr Shilpa Lakra
Published: December 2024

Abstract: The present investigation entitled “A study on impact of Mahanadi reservoir canal irrigation system on socio-economic upliftment of farming community in Chhattisgarh’’ was conducted in Mahanadi reservoir canal irrigation system of Chhattisgarh state during the years 2017-18 and 2018-19. The methodology and the findings were culled out from the detailed study in the area.
The independent variables in the study were education, size of family, social participation, occupation, size of land holding, annual income, credit acquisition, cosmopolitans, level of aspiration, economic motivation, scientific orientation, adoption of modern agricultural practice, cropping intensity, irrigation timing for rice crop, no. of irrigation for rice crop, indirect benefit of canal irrigation and irrigation availability. Socio- economic status of farm families and productivity of major crop (rice) were considered as dependent variables for the study.
The Future of AI-Driven Technologies in Medical Laboratories
Authors: - Moayad Sadek Alshawi , - Ali Ahmad Saleh Alsmail , - Murtadha Hashim Ahmed Al hashim , - Mustafa Abdullah Alkhamis , - Hassan Ali Alhadab
Published: December 2024

In this systematic review, we conclude that many AI models in health care result from volumetric exploration and almost exclusively focus on black box models whose underlying mechanisms or reasons for making specific predictions are not understood by the user. However, most of the current methods are not transparent and difficult to understand due to their inherent black-box nature. Our analysis also shows that medical decision relevant AI models do not yet consider the factors of explainability, interpretability, reproducibility, robustness, and trustworthiness of deployment in clinical routine. All the above-described properties are essential to ensure the quality and safety of clinical decisions based on AI.
Youth Organisation For Disaster Management
Authors: - K.Vijayalakshmi
Published: December 2024

: Almost every day disasters are striking several parts of the world. In India, 59 per cent of the land mass is susceptible to seismic hazard; 5 per cent of the total geographical area is prone to floods; 8 per cent of the total landmass is prone to cyclones; 70 per cent of the total cultivable area is vulnerable to drought. In addition to this manmade hazard, which are frequent and cause huge damage to life and property. It is therefore important to have preparation to cope with the effects of disasters such as damage, disruption of assets, networks, and social capital and casualties. Young people are often seriously affected when disasters strike and can face severe difficulties in coping with unexpected and traumatic interruptions to their lives. But despite this, the world’s youth are also the very people who can teach their communities - and the wider world - how to reduce the risks and impact of disasters. Young people are unmatched by any other demographic group in their ability to bring about meaningful change in social behavior and attitudes. We must not underestimate their potential to make a real difference in the time of disasters. Hence efforts are needed by educational institutions to develop knowledge on disaster management and climate change among the youth. And also built attitude towards the importance of preparedness. Further the youth has to be equipped with the skills essential to participate in disaster management activities. In this connection the Universities through extension programmes, NCC, NSS, Nehru Yuvakendras, Red Cross societies, Boys and Scouts and NGOs etc., has to train the youth to bring hazardous situation under control faster by systemic approach. This paper deals with the disaster management by youth organisations through educational institutions.
Values and Character Formation Practices of Grade 8 Learners
Authors: - Karren G. Molina , - Delia R. Casillan
Published: December 2024

This study used a mixed-method research design to explore the values and character formation practices of Grade 8 learners at Candon National High School during the 2024-2025 academic year. It assessed learners' demographics, engagement levels in values activities, challenges faced, and the effectiveness of a tailored training program. A total of 319 respondents were selected for the quantitative phase, while qualitative data were collected through interviews for deeper insights.
Findings indicated that most learners were female, with college-educated parents and significant social media use. The students demonstrated a "Very High" level of values and character formation, particularly in Maka-Diyos, Makatao, Makakalikasan, and Makabansa. Challenges included understanding values, peer pressure, and lack of role models, with family support impacting their experiences. The mother's education level significantly related to the learners' values formation.
A training program was developed to tackle six challenges: understanding of values, family support, academic issues, peer and social media influence, mental health, and cultural understanding. It was rated "Very Highly Valid," making it suitable for the Department of Education.
The study recommended further research on student profiles, longitudinal studies on values development, and greater involvement of mothers in character formation initiatives. It also proposed implementing the validated training program to enhance learners’ values and character practices.
Challenges and Opportunities : The Role of ICT in Enhancing Educational Access in Rural Telangana
Authors: - B. MERCY MADHURA VANI , - RITA BISHT
Published: December 2024

This article examines the integration of Information and Communication Technology (ICT) in rural educational settings in Telangana, India, focusing on its implications for enhancing educational access and quality. Through a mixed-methods approach, combining quantitative data analysis with qualitative interviews and observations, the study identifies significant disparities in ICT access across different school districts, assesses the effectiveness of ICT in teaching and learning processes, and explores demographic trends influencing ICT adoption.
The research highlights three main challenges to effective ICT integration: financial constraints, lack of trained personnel, and infrastructure inadequacies. Despite these barriers, the potential benefits of ICT in rural education are substantial, including improved student engagement and extended educational reach, particularly in underserved areas.
The findings suggest that addressing these challenges requires a multifaceted strategy involving increased financial investment, comprehensive professional development for educators, and enhanced community involvement. Strategic recommendations for policymakers and educational leaders include prioritizing funding for ICT infrastructure, implementing ongoing training programs for teachers, and fostering partnerships among stakeholders to tailor ICT solutions to local needs.
This study contributes to the understanding of how ICT can be leveraged to bridge educational divides in rural settings, offering a blueprint for enhancing educational practices through technology. The continued exploration of innovative implementation strategies and the commitment to overcoming existing challenges are essential for realizing the transformative potential of ICT in rural education.
An Enhancement of AdaBoost Algorithm Applied In Online Transaction Fraud Detection System
Authors: - Christian S. Ortega , - Lance Daniel P. Lim , - Alrhia Ruby S. Bautista , - Vivien A. Agustin
Published: December 2024

This study is focused on the enhancement of the AdaBoost model for online transaction fraud detection to improve performance in detecting fraudulent activities. The study addresses the limitations of AdaBoost, including class imbalance, long training times, and overfitting. Three techniques were integrated to optimize the model. SMOTE (Synthetic Minority Over-sampling Technique) to balance the dataset, Quantile-Based Capping (QBC) to reduce training time, and Early Stopping to prevent overfitting. The dataset used for training consisted of online transaction records, with model performance evaluated using standard classification metrics. Results show that applying Heron-Centroid SMOTE led to an increase in accuracy, from 0.8150 to 0.8198, while significantly improving recall from 0.2962 to 0.3773, indicating better identification of minority class instances. The F-measure rose from 0.4135 to 0.4798, reflecting a better balance between precision and recall. The G-mean improved from 0.5337 to 0.5970, showing overall better classification performance. QBC reduced training time from 1.45 to 1.32 seconds, and Early Stopping increased accuracy from 0.73 to 0.816. These findings suggest that the proposed enhancements significantly improve AdaBoost’s efficiency and reliability, making it more effective for online fraud detection.
Homestay Tourism as a Means of Economic Security: A Case Study of Lower Subansiri District, Arunachal Pradesh
Authors: - Tashi Lungtan Kee , - Sankar Thappa
Published: December 2024

The major goal of this study is to identify the motivational factors that affect the Homestay operators as well as problems faced by them while managing the Homestay. The study will also assess the Homestay as a means of livelihood. The study was conducted in the Ziro Valley of Lower Subansiri district, Arunachal Pradesh during the month of September and October 2022. A survey method was used to collect data from all the 40 registered Homestays by employing semi- structured questionnaire. The results of the study revealed that “learning culture and traditions” was the key factor that influence the operator to participate in the Homestay program while “managerial problem” was the main challenge they had when managing the Homestay.
An Acute Homoeopathic Management of Urinary Tract Infection in a Child with Congenital Urinary Tract Obstruction
Authors: - Aswani S V , - Dhanusree V A , - Bencitha Horrence Mary D
Published: December 2024

Urinary tract infection (UTI) is a common, distressing, and occasionally life-threatening condition. UTI may be defined as a condition in which bacteria enter, persist and multiply within the urinary tract. The infection is mostly caused by Gram-negative bacteria such as Escherichia coli, Klebsiella, Enterobacter, Pseudomonas and Proteus. The incidence of UTI is 0.5 to 0.7 episodes per person per year in females of whom 25% of them have recurrences. This is also a common condition in paediatric age group .UTI can be a life-threatening medical emergency. Homoeopathy is a holistic medical practice that treats the patient as a whole. Homoeopathic medicines are a useful alternative to conventional medication offering earlier symptom resolution, cost effectiveness and fewer adverse Urinary tract infection and their complications are most frequent cause of antibiotic prescribing. Antibiotic resistance is a global public health problem. The prevalence of resistant bacteria is rising and organisms resistant to almost all antibiotics have been identified. In the light of antimicrobial resistance, homoeopathy offers alternative strategies in combating the development of antibiotic resistance.In this case study we came to know that medicine given after acute totality collection and repertorization and administered medicine we found the reduction of pus cells in four days.
Ambivalence Between Entrepreneurs and Investors: The Consequence of Perceived Immoral Action
Authors: - Dr. Dhamodaran Lingappan
Published: December 2024

This paper examines the impact of perceived immoral action by entrepreneurs, angel investors and venture capitalists on their conflict process. For this purpose, we use an embedded case study design to provide a diversity of perspectives on the topic at hand. From the eye of the beholder, i.e.investor, entrepreneur or both, 11 conflict situations were analyzed for any perceived immoral action.
Based on findings from within- and cross-case analysis, we propose that perceived immoral action among venture partners triggers conflicts between them through increased fault attribution or blaming. Further, we propose that perceived immoral action affects venture partners’ choice of conflict management strategy and increases the likelihood of and of conflict having a negative partnership outcome such as failure or another form of involuntary exit. As such, this paper contributes to the entrepreneurship literature by addressing calls for more research on the darker sides of investor–investee relationships.
Prescription Patterns of Antimicrobial Agents Prescribed Empirically in The Emergency Medicine Department in a Tertiary Care Hospital.
Authors: - Abhradeep Chatterjee , - Laigin Sibastian , - Shrinivas Prabhu
Published: December 2024

Antibiotics are essential in fighting infections by disrupting bacterial functions, but their misuse contributes to antibiotic resistance. Bacteria adapt through genetic mutations or gene transfer, reducing drug effectiveness. This study examines antibiotic prescribing patterns in the Emergency Department (ED), a critical setting for antimicrobial use due to its 24/7 services. Over six months, data from case reports and patient sheets at a Bengaluru hospital were analyzed, focusing on patients receiving antibiotics at admission. Exclusion criteria included post-culture prescriptions, pregnant or lactating women, and post-admission fatalities. Among 452 ED admissions, 320 involved antibiotic use. The average patient age was 50.53 years, with females accounting for 41.88% of cases. Peak admissions were between 2:00–4:00 PM, and common complaints included fever (13.53%) and breathlessness (9.81%). Frequent diagnoses were COPD (7.37%), hypertension (5.31%), and sepsis (3.44%). Ceftriaxone 1gm was the most prescribed antibiotic (43.32%), with intravenous administration in 84.38% of cases and an average initiation time of 2 hours and 13 minutes. Empiric therapy dominated (61.25%). This study provides valuable insights into ED antibiotic prescribing trends, highlighting areas to improve care and optimize antimicrobial stewardship.
Explore the Role of AI/ML in Detecting and Mitigating Unusual Patterns in IoT Device Data Streams for Enhanced Security
Authors: - Balaji Singaram
Published: December 2024

IoT has indeed acted as an enabler for advanced levels of automation and informed decision-making, driven by data. Still, it is also changing industries in nook and corner of the world through rapid proliferation, which in itself has other serious security challenges to allow detection and mitigation of peculiar patterns in IoT data streams indicative of malicious activities or anomalies in operation. Applications that work on improving IoT security through the support that AI and ML offer would involve real-time analytics and inference onto streams of data for various anomaly detection
Cloud Technologies as Catalysts for Digital Transformation in the Retail Sector: A Comprehensive Analysis
Authors: - Mohammed Khaja Sirajuddin
Published: December 2024

This comprehensive article examines the transformative role of cloud technologies in revolutionizing the retail industry, focusing on key aspects of digital transformation and operational enhancement. The article investigates how cloud computing solutions are reshaping retail operations through advanced inventory management systems, personalized customer experiences, and scalable e-commerce platforms. The article analysis explores the implementation of cloud-based analytics for customer personalization, operational efficiency improvements through business intelligence, and the enhancement of customer experience metrics. The article findings indicate significant improvements in operational efficiency, with retailers achieving substantial reductions in operational costs while simultaneously enhancing customer engagement and satisfaction levels. The article reveals that cloud-based solutions enable real-time inventory tracking, sophisticated customer analytics, and robust e-commerce capabilities that can effectively handle peak traffic periods. Additionally, the article demonstrates how cloud technologies facilitate improved decision-making through advanced data analytics, while addressing critical challenges in security, system integration, and scalability. The conclusions drawn from this article analysis provide valuable insights for retailers considering cloud adoption strategies and highlight the crucial role of cloud technologies in shaping the future of retail operations. This article contributes to the growing body of knowledge on digital transformation in retail, offering practical recommendations for implementation while identifying key areas for future research and development.
Application of Jacobian in Engineering Fields
Authors: - Trupti Nandkumar Kathale , - Renge Suresh Mohanrao
Published: December 2024

The Jacobian matrix is an important mathematical concept used in many areas of engineering. It helps engineers solve problems in robotics, fluid mechanics, structural engineering, and electrical circuits. This paper explains the Jacobian matrix concept in detail and gives examples of its applications in various engineering fields. By understanding the Jacobian matrix, engineers can design better systems and improve the efficiency and safety of their projects.
Study the Effect of Anticoagulant Drugs on Pregnancy
Authors: - Nabel Ahmed A Mansour
Published: December 2024

Blood clotting during pregnancy is a health challenge facing many pregnant women, as it can lead to serious complications that threaten the lives of both the mother and fetus. In this context, blood thinners (Anticoagulants) are one of the medical solutions used to prevent and treat blood clots. However, the use of these injections raises many questions and concerns about their effects on pregnancy, the safety of the mother and fetus, and potential side effects.
In this study, data were collected using a questionnaire containing 16 questions. The questions aimed to understand the effect of anticoagulant injections on pregnant women from multiple aspects. The questionnaire was then distributed to the targeted women who had previously taken anticoagulant treatment during pregnancy. The total number of targeted cases was 80 cases. This was done in cooperation with Al-Watan Medical Clinic and Al-Shifa Clinic in the city of Hun in the Al-Jufra region of Libya during the period from 04/2024 to 06/2024. The results gave different indicators. For example, the indicators were negative regarding the presence of health problems that required the use of anticoagulant medications before pregnancy, the use of anticoagulant medications during pregnancy, the occurrence of complications related to the kidneys and liver, the use of any additional procedures or examinations to monitor the health of the fetus due to the use of anticoagulant medications, and the occurrence of miscarriage due to taking anticoagulant medications during the first months of pregnancy. On the other hand, for example, the indicators were positive regarding the presence of problems during pregnancy attributed to the use of anticoagulant medications, and the doctor provided special advice regarding taking anticoagulant medications during pregnancy, receiving special guidance regarding the use of anticoagulant medications during pregnancy, and the doctor provided special advice regarding taking anticoagulant medications during pregnancy.
Contributions of Missionaries and Linguistic Studies to the Bodo Language: A Scholarly Overview (Prior to the Establishment of Bodo Sahitya Sabha on 16 November, 1952)
Authors: - Dr Bridul Basumatary
Published: December 2024

The Bodo people, one of the largest indigenous ethnic groups in Assam, have a rich cultural and linguistic heritage. This paper examines the contributions of missionaries and scholars to the development and preservation of the Bodo language prior to the establishment of the Bodo Sahitya Sabha on 16 November, 1952. It reviews early linguistic studies, beginning with the first lexicon of the Mech dialect published in 1839 by Dr. Archibald Campbell. Subsequent works, including those by B.H. Hodgson, Reverend Sidney Endle, and L.O. Skrefsrud, provided foundational grammatical and lexicographic insights into Bodo. Missionary efforts also played a key role in the promotion of literacy, notably through publications such as A.F. Williams' "A Mech (Bodo) Reader for the Beginner" (1920) and the translation of Christian hymns and the Bible into Bodo. These scholarly and missionary efforts significantly contributed to the documentation and standardization of the Bodo language, preserving its rich oral traditions and facilitating its transition to written form. The article highlights the critical role these contributions played in shaping the linguistic landscape of Bodo prior to its institutionalization in the 20th century.
Integrating Chinese Traditional Culture into Vocational English Language Education
Authors: - Pan Yan , - Roberto Guzman, Jr.
Published: December 2024

This paper is a literature review that evaluates the integration of Chinese Traditional Culture into the Vocational English Language Education curriculum. As a focal point in educational research, this integration reflects a growing emphasis on immersive and culturally enriched language learning experiences. The review examines existing studies to assess the effectiveness, challenges, and broader implications of embedding cultural elements such as traditional stories and festivals into vocational English curricula. Evidence suggests that this approach enhances language proficiency by providing meaningful cultural contexts for linguistic concepts. Additionally, it fosters student engagement, critical thinking, cross-cultural competence, and empathy, skills crucial for success in a globally connected world. However, challenges such as time constraints and resource limitations persist, highlighting the need for innovative strategies and institutional support. The review also explores the potential of digital platforms and cross-disciplinary collaborations to enrich cultural learning experiences. By addressing these challenges, educators can leverage cultural integration to create transformative language learning environments that advance cultural awareness, global competence, and professional readiness.
Cultivating Personalized Learning: A Web-based Data Dashboard and Analytics Using Python with Streamlit and Pandas
Authors: - Jennifer P. Pilante , - Salma Anika , - Chukwueloka P. Abanobi , - Christian Lee V. Sam , - Carmelita H. Benito , - Jesus S. Paguigan
Published: December 2024

This research aims to develop a system that cultivates personalized learning in data dashboards and analytics using Python with Streamlit and Pandas libraries. The system filled the gaps on what tools educators could use to keep up with the fast-changing education—implementing the educator’s methodologies with customized learning from learners’ needs. The researchers enforced the Waterfall Methodology Model. It is aligned since the system was developed in swift and short only. The requirements are minimal, the design is simple and user-friendly, and the implementation, testing, and deployment were swift but necessary. Additionally, the researchers utilized Likart 5-point scale evaluation to test the effectiveness of the system on educators. The evaluators found the system overall satisfactory with its functionality, usability, reliability, efficiency, and portability. The system is an open-source tool dashboard designed for educators to visualize assessment data, helping to identify learners' needs and strengths for personalized learning. It features CSV export (to reduce runtime and cloud-based errors), achievement rankings, and report printing, enhancing adaptability for both educators and students. The researchers recommend integrating artificial intelligence (AI) and automation into the system. This research addresses the diverse learning methodologies in education and the need for technology to aid educators. Using Python with Streamlit and Pandas to create a tool for measuring data-driven analytics for personalized learning in schools and universities.
Automated Validation of Korean C-3-9 Tourist Visa Applications using Object-Oriented Programming and Optical Character Recognition (OCR)
Authors: - Allen Nicole P. Bagaporo , - Lois Renzo Sarmiento , - Bernard Bullicer , - Ann Janelle Alano , - Carmelita H. Benito , - Jesus Paguigan
Published: December 2024

This research presents a prototype application deployed on Google Cloud Platform (GCP) App Engine to automate the validation process for Korean C-3-9 Tourist Visa applications. By leveraging Object-Oriented Programming (OOP) principles and Optical Character Recognition (OCR) technology, the system efficiently scans PDF application forms to ensure completeness of data required. This automated method will boost applicants' confidence and encourage them to analyze their own applications, which could shorten processing times and increase overall effectiveness. This research offers time-saving solution in validating the required fields especially with the fluctuating numbers of tourist in South Korea in 2023 which is 349,956 (tourism.gov.ph, 2023).Given the potential for widespread use not only for applicants but also for officials, this research also explores various network efficiency techniques for future improvements following cloud infrastructure via GCP. These techniques seek to improve the system's overall efficiency, high performance, security, manageability, and adaptability to various visa kinds.
Prevalence of Low Back Pain and Associated Disability in Medical Students
Authors: - Shubham B. Kendre , - Chitra Mridha
Published: December 2024

Abstract
Background: Low back pain (LBP) is a serious health problem among medical students. This study aimed to investigate the prevalence and associated factors for LBP among MIMSR Latur medical students. Low back pain is the leading cause of disability and inability to work in medical students and is expected to affect the activities of daily living. The activities of these professional are related to the development of this pain. It is estimated that up to 60% of low back pain events in medical student is work related. In fact, medical students are potentially exposed to the low back pain occupational risk as graduates, such as poor working postures.
Aim: This study aimed to verify the percentile value of low back pain and associated disabilities in medical students of MIMSR campus Latur.
Methodology: 104 samples were selected according to criteria of study. Consent was taken on consent form. Low back pain was measured on NPRS Scale and associated disabilities are taken by OSWESTRY LOW BACK DISABILITY QUESTIONNAIRE. The collected data was analyzed statistically and on the basis of result, the discussion and conclusion were made.
Result: The prevalence of low back pain among medical students of MIMSR campus Latur, were total number of subjects(n=104) physiotherapy 33%(n=35), nursing 31%(n=33), medical 26%(n=27), dental 9%(n=10), and associated disability according to ODI score in overall population is 52.4% which is moderate disability. Data was analyzed by JAMOVI (Version 2.3) 2022 and MS EXAL 2019, where significant associations were found between low back pain and associated disability, ODI table contains ODI mean scoring in %, mean and SD of ODI 9.90 and 7.90 respectively similarly mean and SD of NPRS 7.06 and 2.56 respectively, p-value is set to be at 2.00 significant 0.005.
Conclusion: The high prevalence of low back pain in medical students of MIMSR campus Latur which is associated with poor study habits, lifestyle habits, and psychological factors highlight a need for life skills training, education, counselling, and restructuring of the medical curriculum.
SiSafe: A Comprehensive Mobile Application Solution for Women Safety
Authors: - Aastha Sharma , - Devesh Sharma , - Akshita Rastogi
Published: December 2024

Women are the nurturers of life, often putting their own lives on
the line for the sake of their families. However, a pressing ques- tion arises:
are we doing enough to ensure their safety? The safety of women is a
subject of grave concern[1]. Women often find themselves the target of
unsolicited attention and, in more alarming cases, acts that threaten their
dignity and safety. The SiSafe app will emerge as a pio- neering solution,
which will address this pressing need through a blend of innovative
features and user-centric design. The application will offer a discreet means
to request emergency assistance when physical activation is not feasible.
Fundamental to the app is an on-screen emergency option, prominently
featured on the user’s home or lock screen, providing quick access in times
of distress. Users will be able to personalise their activation phrases, which
will enable secure and discreet activation through a responsive voice
recognition system. The app will leverage cutting- edge technology to
transmit precise location data to predefined contacts, authorities, and
nearby individuals when activated. In areas lacking net- work connectivity,
the app will employ mesh networking technology to establish a local
network with nearby devices, which will ensure that help reaches the user.
The SiSafe App will foster community involvement by notifying individuals
in the vicinity about ongoing emergencies, reducing response times and
enhancing user safety. This user-friendly and privacy conscious application
solution will empower women to feel safer and more confident when they
need help the most. This could be understood by the application’s drawing
that we have included in this research paper.
A Comparative Analysis of Dairy Farming Practices and Sustainability in India and Key Global Markets
Authors: - Dr. Chandrashekhar R
Published: December 2024

Dairy farming contributes well to the eradication of poverty in the rural area of India since it is still a developing country. But when compared to many developed countries dairy farmers’ economic empowerment India’s dairy farmers are very low because of many reasons. In view of this, the study aims to know the economic empowerment through dairy farming in India and abroad and to make a comparative analysis between India and selected abroad countries in dairy farming. The study gathered secondary data to achieve the aforesaid objective. The study found that smallholding dairy farmers are more in India since they can earn their daily bread through dairy farming but their economic empowerment is not up to a mark. The challenges play a very important role in the success of dairy farming in India. Even some dairy farmers succeeded but their numbers are very small. Hence both dairy farmers and government should work on facing the challenges and achieving whatever they want in this industry.
Time-table Scheduling Problem – A Case Study of Science College
Authors: - Dr. Pratiksha Kadam
Published: December 2024

This paper presents a design for a weekly timetable for a Science college that optimally allocates classrooms, faculty members, and time slots to various science courses using graph theory techniques. This design uses a mathematical approach to maximize utilization of resources and minimize conflicting times for different classes. The paper provides a detailed description of the techniques used, the models created, and the solutions obtained. It also discusses various considerations that need to be considered when designing a weekly timetable, including the use of software systems and algorithms to optimize the design. Paper explains the Application of Graph Theory in scheduling problem with a case study of the Science college.
Architecture and Implementation of Cloud-Based Disaster Recovery
Authors: - Venkata Jagadeesh Reddy Kopparthi
Published: December 2024

Implementing effective disaster recovery (DR) and business continuity (BC) strategies in the AWS Cloud
has become crucial for organizations seeking to ensure operational resilience and data integrity in an
increasingly digital world. This comprehensive technical article explores the fundamental concepts,
implementation strategies, and real-world applications of DR and BC solutions within the AWS
ecosystem, supported by detailed case studies from health care, financial services, and manufacturing
sectors. The article encompasses critical AWS services, including Amazon S3, AWS Elastic Disaster
Recovery, and multi-region architectures, while examining how organizations leverage these tools to
achieve specific recovery time objectives (RTOs) and recovery point objectives (RPOs). The article
provides insights into best practices, common challenges, and emerging trends in cloud-based disaster
recovery by examining various implementation approaches—from backup and restore strategies to
multi-site active/active configurations. Special attention is given to industry-specific compliance
requirements, cost optimization strategies, and automation integration to enhance DR/BC capabilities.
The findings demonstrate that successful DR/BC implementation in AWS requires a careful balance of
technical architecture, security considerations, and business requirements, ultimately contributing to
improved organizational resilience and operational stability across diverse industry sectors.
Curriculum Evaluation Models in ASEAN Countries
Authors: - GERRY MAE V. GERVACIO , - REGINA P. GALIGAO
Published: December 2024

Curriculum evaluation models play a pivotal role in assessing the quality and effectiveness of educational programs. This study conducts a comparative analysis of the application and effectiveness of three key curriculum evaluation models—the Context, Input, Process, Product (CIPP) model, quantitative evaluation methods, and educational system evaluations—in ASEAN countries. While the CIPP model is widely utilized, limited research exists on its contextual adaptation across different educational systems. Similarly, the integration of quantitative methods and system-wide evaluations often lacks coherence, resulting in incomplete assessments. By examining the strengths and weaknesses of these models, this research identifies best practices and areas for improvement. The findings provide actionable recommendations to enhance curriculum evaluation practices in the ASEAN region, contributing to the development of more effective and contextually relevant evaluation strategies that support the achievement of educational goals.
Myth and the Unconscious
Authors: - Dr. Hargouri  Narzary
Published: December 2024

Freud, the founder of psychoanalysis probably made the single most valuable contribution to the interpretation of myth: the first serious exploration of the unconscious life of the mind and the earliest articulation of its importance to consciousness. Myths, for Freud, were the products of the first era in human culture, in which an animistic picture of the world had dominated, but details of the relationship between myths and animism seem to be unexplained in some essential respects. In his evolutionary scheme, myths originally celebrated the spirits of the dead. As the dead were deified, myths came to celebrate the spirits or gods of nature.
Descriptive Study on the Role of Forensic Chemistry in Analyzing Controlled Substances: Forensic Practices and Challenges
Authors: - DINSHA , - NIDHIN S S , - SUDANVA G KULKARNI
Published: December 2024

With an emphasis on the techniques used, the difficulties encountered, and the consequences for forensic procedures, this descriptive research explores the crucial role that forensic chemistry plays in the analysis of controlled substances. The foundation of the criminal justice system is forensic chemistry, which helps law enforcement organizations use sophisticated analytical methods like high-performance liquid chromatography (HPLC) and gas chromatography-mass spectrometry (GC-MS) to precisely identify and measure illegal substances. This paper examines the complex interrelationship between legal frameworks and forensic chemistry, emphasizing the ways in which chemical evidence might affect court decisions. It also discusses the difficulties brought on by the quick development of novel psychoactive compounds and the requirement that forensic chemists adjust to new developments. By examining case studies and contemporary methods, the paper highlights the value of continuing education and new technology in improving the effectiveness of forensic examinations. In the end, this study seeks to shed light on enhancing forensic procedures and guaranteeing the accuracy of chemical evidence in drug-related inquiries.
Studies on the influence of biofertilizers in combination with inorganic nutrients on growth, yield and quality attributes of onion (Allium cepa L.)
Authors: Bandi Sai Phanendra , Ramesh Eggadi , Deepti Sunna , Pal Arunabha
Published: December 2024

With an increasing population and the food security is at risk, there is decreased crop productivity as soil fertility status is declining. As, the present experiment was conducted in view of understanding the better nutrient acquisition of plants in the presence of biofertilizers on the growth, yield and quality parameters of onion under randomized block design with three replications and ten treatments in order to optimize nutrient uptake for improved agricultural productivity and sustainability, providing valuable insights for more efficient farming practices. The results revealed that the growth parameters such as maximum plant height (72.68cm) and leaf length (63.07 cm) were recorded with the treatment T2 (100% RDF); number of leaves (10.13) was recorded with treatment T6 (100% RDF + Bacillus); leaf width (17 mm) and neck length (9.78 cm) were recorded with treatment T5 (100% RDF + Pseudomonas); yield parameters such as plant fresh weight (189.33g) was recorded with treatment T5 (100% RDF + Pseudomonas); bulb weight at harvest (170.46g) and yield/m2 (3.78 kg/m2)  was recorded maximum with treatment T6 (100% RDF + Bacillus). The quality parameters such as ascorbic acid (14.67 mg/100g) and dry matter % (20.32) were also recorded maximum for treatment T6 (100% RDF + Bacillus).  As a result, it can be concluded that the combination of 100% RDF + Bacillus is best as compared to other treatments as it projected highest B:C ratio (2.98) in view of onion production.
Product and process development compliance in the Indian biopharmaceutical industry: Challenges and innovations
Authors: Uppal Shivangi , Dadwal Navjeevan
Published: December 2024

This study explored product and process development in the Indian biopharmaceutical industries, crucial in developing, manufacturing, and distributing biopharmaceutical products. Quality by Design (QbD) is a fundamental approach guiding product development, integrating scientific principles, and risk management throughout the lifecycle of biopharmaceutical products. Compliance, desired by regulatory bodies such as the Central Drugs Standard Control Organization (CDSCO), the U.S. Food and Drug Administration (FDA), the European Medicines Evaluation Agency (EMEA), and the International Organization for Standardization (ISO), is essential for market approval and global acceptance. This study examined the Indian biopharmaceutical industry’s process and product development standards, focusing on regulatory compliance, international collaborations, operational transparency, inspection practices, and challenges. The results indicated that most companies align with regulatory standards, emphasizing commitment to safety and efficacy in biopharmaceutical product development. International collaborations were highlighted as crucial for innovation and knowledge exchange but presented challenges in harmonizing diverse regulatory frameworks. Clear standard operating procedures (SOP) and routine inspections were important for ensuring product quality and safety, reflecting a commitment to high manufacturing standards. However, the study identified minor challenges, such as the economic feasibility of biopharmaceutical production, and frequently changing regulatory guidelines. Solutions proposed included fostering collaborations with research institutions and enhancing transparency in communication to address industry challenges effectively. The study also highlighted the high costs and regulatory challenges in developing new drugs, promoting collaboration with the biotechnology industry. Furthermore, the research findings align with the "Make in India" initiative, emphasizing transparency, collaboration, and innovation to promote domestic manufacturing capabilities and position India as a global biopharmaceutical manufacturing hub. The Indian biopharmaceutical industry firmly commits to regulatory compliance and manufacturing excellence.
Next generation bioactive applications of Bacillus flexus by synthesized silver nanoparticles : A detailed investigation
Authors: Srivastava Rishita , Virk Verinder
Published: December 2024

Silver nanoparticles (AgNPs) synthesized through biological methods have emerged as a difficult alternative to traditional chemical synthesis due to their increased biocompatibility and environmental attainability. In this study, we investigated the stability and various biological activities of AgNPs synthesized using Bacillus flexus B-AgNPs. The solidification of the nanoparticles was monitored for one month using UV-Vis spectroscopy, which revealed consistent surface plasmon resonance (SPR) peaks around 430-450 nm, indicating sustained nanoparticle integrity. The synthesized B-AgNPs proved significant antifungal, antibacterial, and antioxidant activities. The antifungal efficacy was evaluated against multiple strains of Alternaria solani with B-AgNPs showing superior inhibition compared to standard antifungal drugs. Even at low concentrations, the nanoparticles demonstrated powerful inhibitory effects on Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus. Results indicate that B-AgNPs exhibit antioxidant activity also approximate to that of DPPH, particularly at higher concentrations (50 ppm), where the scavenging activity of B-AgNPs is nearly the same as that of DPPH. These findings indicate that B-AgNPs synthesized using B. flexus possess important potential uses in agriculture and biomedicine, with superior stability and biological activity compared to conventional methods.