bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Accrual Accounting on Public Sector Management in Zimbabwe
Authors: - Tavengwa Chimwanja , - Florance Shumba
Published: December 2024

Accrual accounting, as a more advanced accounting system, has gained traction in the public sector, notably for improving financial transparency, accountability, and decision-making. This article investigates the effects of accrual accounting on public sector management in Zimbabwe, focusing on the benefits, problems, and overall impact on financial management. The study critically reviews literature to identify how accrual accounting contributes to enhancing public sector transparency, financial accountability, efficiency, decision making processes and resource allocation within public institutions. The paper investigates highlights the hurdles Zimbabwe confronts in implementing accrual accounting in the public sector. It provides recommendations for improving financial management practices and enhancing governance appropriate to the Zimbabwean environment. It looks at recent developments, benefits, challenges, and implications for financial reporting, budgeting, and accountability. It draws on literature from 2015 to 2024 and case studies to provide a nuanced understanding of how accrual accounting can enhance public sector management in Zimbabwe.
The study’s goal is to provide information that will help policymakers make better decisions and improve the overall integrity of Zimbabwean government’s financial management.
Artificial Intelligence Empowered Learning: A Quantum Shift in Higher Education
Authors: - Anil Chandra Borah , - Pratibha Borah
Published: December 2024

The integration of artificial intelligence (AI) in higher education is transforming traditional learning frameworks, presenting unprecedented opportunities for personalized, efficient, and inclusive education. This paper explores the ways AI technologies, including machine learning algorithms, natural language processing, and intelligent tutoring systems, are reshaping educational methodologies and environments in higher education. By examining AI-driven applications such as adaptive learning platforms, automated assessment tools, and virtual teaching assistants, this study highlights how AI enhances student engagement, facilitates tailored learning experiences, and streamlines administrative tasks. Furthermore, this paper addresses the ethical considerations, challenges, and potential biases associated with AI implementation, emphasizing the need for transparent, equitable practices to optimize AI's positive impact on learning. Ultimately, this research underscores AI's transformative potential in making higher education more accessible and adaptive to diverse learner needs, setting the stage for a future of AI-empowered, data-driven education. This study utilizes a comprehensive literature review and case studies to demonstrate the potential and challenges of AI implementation, highlighting ethical considerations, data privacy, and the need for policy frameworks to support responsible AI usage. By addressing these multifaceted aspects, this research emphasizes the strategic role of AI in shaping the future of higher education.
Empowering the Underserved: The Role of Microfinance in Poverty Alleviation and Economic Empowerment
Authors: - Kalaivani Balaji , - Afreen Zama R
Published: December 2024

The study explores the impact of microfinance on poverty alleviation, specifically assessing its role in providing financial access to low-income populations who lack traditional banking services. By offering services such as microloans, savings accounts, and insurance, microfinance institutions (MFIs) empower marginalized individuals, particularly women, to engage in entrepreneurial activities and contribute to community economic growth. This research investigates microfinance's effectiveness in enhancing financial inclusion, increasing household income, and promoting social development. Additionally, it addresses challenges such as high-interest rates, over-indebtedness, and the sustainability of microfinance models. Data was collected through a structured survey and analyzed using descriptive and inferential statistical methods.
Using Data to Make Decisions: HR Analytics' Role in Hospital Human Resource Management
Authors: - Bai Yang , - Srikrishna Banerjee
Published: December 2024

In the modern age of data-driven decision-making, human resource management in hospitals is seeing a significant transformation with the use of HR analytics. This paper analyses the essential function of HR analytics in enhancing workforce management in hospitals, emphasising its influence on strategic workforce planning, recruiting, employee engagement, retention, and performance management. HR analytics utilises data aggregation, statistical methodologies, and predictive insights to tackle issues such as elevated turnover rates, ineffective recruiting strategies, and productivity inconsistencies. Through the analysis of staffing trends, applicant data, and employee feedback, hospitals may improve recruiting techniques, anticipate staffing requirements, and discern engagement factors. The report emphasises how HR analytics facilitates focused retention strategies, including career development programs, and enhances overall employee happiness and performance. The findings demonstrate its efficacy in diminishing turnover expenses, augmenting retention rates, and optimising resource distribution to improve patient care and organisational efficiency. Nonetheless, problems like data privacy, ethical considerations, and infrastructural necessities must be resolved for effective adoption. This essay highlights the revolutionary potential of HR analytics in hospital human resource management and advocates for more study on its long-term effects and optimal practices. Through the integration of analytics, hospitals can cultivate a sustainable, engaged, and high-performing staff, hence enhancing healthcare results.
Enhancing Surgical Precision: Machine Learning Applications in Robotics
Authors: - Chandra Sagili
Published: December 2024

Recent advancements in machine learning (ML) algorithms, which constitute a significant breakthrough in enhancing surgical precision and patient outcomes, have fundamentally changed robotic-assisted surgery. Emphasizing important developments in many spheres, including predictive modeling frameworks, advanced computer vision applications, and real-time decision support systems, this in-depth study investigates the complex integration of machine learning (ML) technology with surgical robotics.
Numerous studies conducted at top medical institutions have shown that ML-augmented systems significantly increase the accuracy of tumor margin diagnosis while also significantly reducing procedural mistakes. In order to help surgeons make better decisions during crucial surgeries, this paper summarizes
results from state-of-the-art implementations, such as the use of complex deep-learning models for real-time tissue classification. Advanced predictive outcome modeling has also improved pre-operative planning and risk assessment, and the integration of autonomous instrument navigation systems has increased surgical precision. Despite persistent issues with algorithm validation and data standardization, new research shows that ML integration significantly cuts operating times while preserving or improving safety procedures. For healthcare organizations thinking about using ML-enhanced surgical robotics, this
article offers a thorough, evidence-based examination of current implementations, looking at technical challenges and future directions in the area. According to the research, the combination of robotic surgery with machine learning is a game-changer for contemporary medicine, having profound effects on both surgical results and the standard of patient care.
The Role of Prompt Engineering in Improving Language Understanding and Generation
Authors: - Divya Lamba
Published: December 2024

Prompt engineering is an emerging discipline that plays a pivotal role in enhancing the performance of large language models (LLMs) across diverse natural language processing tasks. This review examines the significance, challenges, and advancements in prompt engineering, focusing on its potential to optimize language understanding and generation. We explore foundational concepts, innovative techniques such as meta-prompting, and recent methodologies like PE2, which have demonstrated remarkable improvements in reasoning and task-specific performance. Additionally, we discuss the application of prompt engineering in academic writing and research, highlighting its capacity to transform workflows while addressing transparency, objectivity, and replicability challenges. The paper also underscores the limitations of current approaches, including issues of ambiguity, bias, and generalizability. By acquiring prompt engineering expertise, researchers and academic writers can effectively navigate the evolving landscape of artificial intelligence, leveraging LLMs for enhanced precision and creativity in their pursuits. This paper aims to provide a comprehensive overview of the field, serving as a guide for researchers to harness prompt engineering techniques and address the challenges of integrating LLMs into academic and applied settings.
An Analysis of National Housing Bank's (NHB) Performance in Housing Finance in india
Authors: - Arjun kannaujia , - Ram Asrey , - geetika tondon kapoor
Published: December 2024

A man needs housing in order to live a respectable life.The Government of India's main goal is to provide housing for everyone. It established the National Housing Bank in 1988 with the intention of achieving this goal, and it is through this bank that a number of housing finance companies offer housing loans. The goal of the study is to draw attention to the part the NHB has played in the nation's housing development. NHB's refinance activity to the housing finance institutions involved in housing finance activities was a significant contribution. One essential requirement for human existence is housing. Therefore, the Government of India (GOI) is not an exception to the global trend of housing building and financing. "Affordable Housing for All" has been a national objective in India since 2017. This national target was intended to be accomplished by 2022, however it was not, in part, due to the crisis brought on by the Covid-19 outbreak. 2025 is the GOI's updated goal. This study examines the primary participants in the housing financing industry, namely HFCs and Commercial Banks (CBs), and how they contribute to achieving the national housing goal. Increased visibility of specialist organizations with a smaller role, such as Apex, Small Finance Banks, and Affordable Housing Finance Companies (AHFCs).
How to Develop our personality ? A Message.
Authors: - Bijoy Kumar Das
Published: December 2024

Abstract

Be brave. Always think positive. Be free. Always be flexible where it’s necessary. Be obedient and eternally faithful to the cause of truth and humanity. So we need to have a clear idea of the mechanism of our mind. Can we train it to obey us, to corporate with us? How can it contribute to the development of our personality? It is challenging because it demands hard, methodical labour, perseverance and a careful attention. So, every person’s duty is to work towards it. In fact, every efforts brings success and satisfaction proportionate to the attempt. Advance like a star. Don’t be frustrated by anything. When you have got the human body, then wake up the Atman within and say – I have reached the state of fearlessness! And then as long as the body endures, speak unto others this message of fearlessness: “Tat Tvam Asi” which means “that how you are! Only you can change the whole world. Only You. It is the message shared in the sixth chapter of the Chandogya Upanishad repeatedly. So, Swami Vivekananda said, “Arise, Awake and Stop not till the goal is reached!”
Artificial Intelligence and Machine Learning in Cloud Systems: A Comprehensive Framework for Real-Time Optimization
Authors: - Varshini Choudary Nuvvula
Published: December 2024

Abstract This article comprehensively analyzes artificial intelligence and machine learning integration in real-time cloud-based system optimization. The current research and emerging technologies examine how AI-driven algorithms enhance dynamic resource allocation, workload management, and automated decision-making processes in cloud computing environments. The article investigates the implementation of predictive analytics for workload forecasting, machine learning-based anomaly detection, and reinforcement learning approaches for autonomous system optimization. The findings demonstrate significant improvements in resource utilization efficiency, load balancing effectiveness, and system response time compared to traditional rule-based methods. The article also reveals that AI-powered auto-scaling mechanisms substantially enhance cloud system adaptability to varying workload patterns while minimizing operational costs. Moreover, it identifies key challenges in implementing these technologies, including integration complexity and performance overhead considerations, and proposes practical solutions for enterprise adoption. This article contributes to the growing knowledge in cloud computing optimization and provides valuable insights for researchers and practitioners in cloud infrastructure management.
Securing Healthcare's Digital Future: A Framework for Integrated Data Protection
Authors: - Avinash Mavireddi
Published: December 2024

The integration of patient data across healthcare systems presents both unprecedented opportunities and
significant challenges in modern healthcare delivery. This article examines the societal implications of
implementing cybersecure and compliant data integration practices in healthcare settings, with particular
emphasis on how these practices influence public trust, patient privacy, and healthcare accessibility.
Through analysis of current cybersecurity frameworks, regulatory requirements, and ethical
considerations, this article demonstrates that robust data protection measures serve as fundamental pillars
in maintaining societal confidence in digital health advancements. The article explores how healthcare
organizations can effectively balance the competing demands of data accessibility and security while
addressing critical ethical considerations surrounding patient autonomy and data ownership. Our findings
suggest that successful implementation of secure data integration systems not only enhances patient care
delivery but also strengthens the social fabric of healthcare institutions by fostering trust between
providers and patients. The article concludes by proposing a comprehensive framework for healthcare
organizations to build and maintain secure data integration systems while upholding their societal
responsibilities and ethical obligations to protect patient privacy.
Empowering equality: Navigating the rights of Persons with Disabilities
Authors: - Shashi Poonam , - Prof. (Dr.) Rajinder Verma
Published: December 2024

People with disabilities (PWD’s) remain neglected in many areas including employment. Their unemployment rate is significantly high when compared with those without disabilities. Severe unemployment and poor wages ended majority of them live in poverty. PWD’s are suffering discrimination, social exclusion and prejudice. It is a major health problem especially in developing country like India. In India, a majority of the disabled resides in rural area where accessibility, availability and utilization of rehabilitation and its cost effectiveness are the major issues. Musculoskeletal conditions are frequently cited as among the most common and disabling of the chronic diseases. These conditions affect the quality of life through increased disability, limited activity, physical pain, and impairment. Because of the nature of the disabilities encountered in the community, the emphasis in therapy is on management of the disability rather than on ‘treatment or cure’. It will be not out of context to assert that the state must endeavour to bring them to the same level with others of the same society not as a matter of state-generosity or societal grace but as a matter of their rightful entitlement as follow human beings.
An Analytical Study on International Labour Concerning in Collective Bargaining with Public Sector
Authors: - Subavarshini J , - Yuvashree K
Published: December 2024

This composition is about transnational labor associations concerning collective bargaining with the public sector in the global period. Globalization has profoundly changed and also told its legal structure, the culture and the association in which work is now being carried out. This composition includes delineations and purposes of Collaborative Logrolling. The composition has the ideal of ILO principle on right of collaborative logrolling. In order to attract each other, developing countries in particular contend. What do International labor norms mean in this terrain? In the history, the International Labour Organization has established the ILS. The ILO still exists moment, but its dereliction function suffers from huge scarcities in its enforcement. In fact, the ILO is concerned with collective bargaining and unborn concession, private enterprise being undermined. The argument is that there has been a shift from public to private regulation that has created interdependence between several players which is pivotal for the being ILS regulation. thus, the unborn success and effectiveness of ILS depend substantially on how this interdependence works. The composition also bandied International labor norms perpetration, creation and benefits besides inter relation of ILS and collaborative logrolling conventions & programs. The composition concluded that The ILO has in more recent times paid increased attention to collaborative logrolling in the public services. In the colorful ILO review reports appertained to in this paper, the ILO and its administrative panels note a global expansion in logrolling in public services, and farther ‘ democratisation’ of labour relations indeed in exigency and public services.
Effects of Tramadol on Exploratory Behaviors, Anxiety and Memory in Balb/c Mice: 49-day Oral Dosing Study
Authors: - Lekana childerick , - Miguel landry martial , - Dobhat-Doukakini choupette ravelle , - Abena ange Antoine
Published: December 2024

This study aimed to evaluate the behavioral effects of tramadol administered orally at doses of 20 mg/kg and 40 mg/kg for 49 days in BALB/c mice. Standardized behavioral tests, including the Open Field (OF), Elevated Cross Maze (ECM), Morris Water Maze (MWM), Y-maze, and Object Recognition Test (NOR), were used to measure motor activity, anxiety, and spatial and nonspatial memory. The results revealed that mice treated with the high dose of tramadol (40 mg/kg) exhibited significant reductions in motor activity, increased anxiety, and cognitive deficits in both spatial and nonspatial memory. In contrast, mice treated with 20 mg/kg tramadol exhibited increased exploratory activity during treatment, but these effects were transient. Control mice (treated with distilled water) showed no significant changes during the experiment. These results suggest that tramadol , although effective for its analgesic properties, may impair memory and increase anxiety when administered at high doses over a prolonged period. These findings highlight the importance of managing opioid side effects in a clinical and research setting.
Fashion and Mental Health: Exploring the Psychological Impact of Fashion Choices on Consumer Identity
Authors: - Samridhi Singhal
Published: December 2024

This paper investigates the psychological effects of fashion on consumer identity and mental health, focusing on how fashion shapes social standards and serves as a means of self-expression. It examines how psychological elements, including self-concept, peer perception, social media, and cultural influence, impact fashion decisions through a multidisciplinary lens. The dual nature of fashion is also discussed in the paper, emphasizing how it may promote inclusivity and increase self-esteem while simultaneously exacerbating mental health conditions like anxiety, body dysmorphia, and compulsive spending. This study attempts to offer a thorough grasp of how fashion shapes consumer identity and psychological well-being by examining several academic frameworks, such as self-expression theory and social identity theory. It emphasizes how crucial it is to support inclusive and sustainable fashion practices to improve social cohesion and mental wellness.
Torroid Download Manager: A Comprehensive Multi-Protocol Download Management Solution
Authors: - Shivam , - sonia sharma , - Himanshu Raj , - Nishant Chandolia
Published: December 2024

In an era where digital content consumption is skyrocketing, managing downloads efficiently has become more critical than ever . This paper presents Torroid Download Manager, an advanced, user-friendly, and high-performance tool designed to handle downloads across multiple protocols, including HTTP, FTP, and Peer-to-Peer (P2P) networks. Torroid is equipped with features like multi-threading, segmented downloading, and bandwidth throttling to ensure optimal performance, even in challenging network environments. We also explore the architecture, implementation challenges, and key features of the system, comparing its performance to leading download managers like IDM and Free Download Manager (FDM). The goal is to provide users with a solution that not only increases download speeds but also offers enhanced control over the process.
Exploring Endophytic Bacteria in Weed and Wild Plants as a New Frontier for Biosurfactant Production
Authors: - Shivangi H Zaveri , - Dr. Sumita Dasgupta
Published: December 2024

Endophytic bacteria, residing within plant tissues without causing harm, have emerged as a promising source of biosurfactants due to their ability to produce surface-active compounds with diverse applications. This study explores the biosurfactant-producing potential of bacterial endophytes isolated from wild and weed plants. The isolates were screened for biosurfactant production using qualitative assays Oil spreading/displacement test, drop collapse test, Cetyl trimethyl ammonium bromide (CTAB) agar method, Lipolytic activity, Chemical characterization of type of bio-surfactant, and Emulsification assay techniques E24%. This research underscores the untapped potential of endophytic bacteria as sustainable sources of biosurfactants, paving the way for eco-friendly solutions in various biotechnological fields.
A Prospective Interventional Study on Sleep Hygiene: Mitigating Sleep Deprivation and Its Impact on Youth Health
Authors: - Ashisha Sam Jacob , - Angelin Susan Varghese , - Royce An Abraham , - Phillip Jacob
Published: December 2024

This study investigates the impact of sleep deprivation on the academic performance, mental health, and physical health of students aged 15 to 24. It also evaluates the effectiveness of an educational intervention designed to promote better sleep hygiene. For six months, 750 students from various high schools, colleges, and universities participated in this prospective interventional study. Participants completed questionnaires assessing their health outcomes, academic achievement, and sleep quality both before and after the intervention. An instructional session on proper sleep hygiene was conducted, and the results were analyzed. Forty-seven percent of participants reported that sleep deprivation negatively affected their academic performance, with the areas most impacted being memory, focus, and mood. Additionally, 38.27 percent of the participants experienced physical health issues, such as exhaustion and compromised immunity. After the intervention, academic performance improved by 15%, and awareness and adoption of good sleep hygiene practices increased by 25%. Inadequate sleep significantly affects the physical, mental, and emotional well-being of young people. By encouraging better sleep habits, educational interventions can help mitigate these negative effects and enhance both academic performance and overall well-being.
Understanding Smoking Behaviors, Social Influences and Policy Ineffectiveness: A Study on College Students in Purba Medinipur, West Bengal
Authors: - Dr. Soumi Dey
Published: December 2024

Smoking among college students is a growing concern, particularly in semi-urban and rural areas. Smoking, which involves the inhalation of tobacco or other substances like cannabis, is a leading cause of preventable deaths globally. Despite regulations such as the Cigarettes and Other Tobacco Products Act (COTPA) of 2003 and Prohibition of Smoking in Public Places Rules, 2008, the prevalence of smoking among youth continues to rise, fuelled by factors such as peer pressure, aggressive marketing, low socioeconomic status, and lack of awareness about health risks. This study examines the smoking behaviors of semi-urban and village-dwelling college students in Purba Medinipur, with a focus on understanding the drivers of smoking initiation and its impacts. The findings indicate that peer pressure is the leading factor for the initiation of smoking, with many participants perceiving smoking as a means to gain social status, reinforce group identity, and signal adulthood or rebellion. Stress was also identified as a crucial factor in the continuation and relapse of smoking, supporting previous studies linking tobacco use to stress management. Additionally, the study highlights the easy accessibility of tobacco products in the region and how familial and social influences, particularly from smoking parents and peers, contribute to the normalization of smoking behavior. The research further critiques the effectiveness of the COTPA 2003, noting limited awareness and enforcement in the target population. It calls for a more robust policy framework that addresses social and cultural factors influencing smoking, emphasizing the importance of enhancing self-esteem and communication skills in educational and familial contexts. The study also advocates for targeted interventions for cannabis use among adolescents, suggesting that the legal and social implications of cannabis use should be communicated effectively. The findings underscore the need for a comprehensive approach combining educational initiatives, stricter policy enforcement, and mental health support to mitigate smoking-related risks among youth.
Assessment of Knowledge and Awareness of Pharmacovigilance among Different Faculties of Health Science Students in Nepal
Authors: - Suraj Vaish , - Santosh Kumar Yadav , - Subodh Kumar Sah , - Hemank KC , - Sapna Vaishya
Published: December 2024

Pharmacovigilance (PV) is crucial for ensuring the safe use of medications and preventing adverse drug reactions (ADRs). In Nepal, the need for robust ADR reporting is critical due to the widespread use of various medical systems. This study aimed to assess the knowledge and awareness of pharmacovigilance among health science students in Nepal.
Cloud-based Scientific Image Analysis: A Revolution in Large-scale Data Processing
Authors: - Chakradhar Sunkesula
Published: December 2024

Analyzing massive image databases poses substantial computational and financial problems in the field of
scientific study. Conventional cloud computing techniques can be costly, and traditional on-premises
computing resources frequently prove inadequate. This article offers a novel approach that uses cloud
computing in a scalable and economical way to transform scientific picture analysis. Researchers may
now effectively process large picture collections by integrating image analysis software through
containerization and deploying it using Amazon Web Services technologies. Pharmaceutical research,
medical imaging, environmental science, and materials science are just a few of the scientific fields where
the application shows impressive gains in processing speed, cost reduction, and research accessibility. By
increasing research efficiency, facilitating greater international collaboration, and democratizing access to
sophisticated image analysis capabilities, this article has had a substantial impact on scientific research.
Defending Nature through Law: the Role of Public Interest Litigation in Environmental Protection
Authors: - Nidhi Thakur , - Dr. Rajinder Verma
Published: December 2024

A new field called environmental jurisprudence is developing a coherent legal, economic, and ecological framework for protecting natural resources for future generations. Public interest in environmental concerns is a prerequisite for the legitimacy and efficacy of environmental governance. Environmental movements and public interest litigation are greatly aided by the public interest. A legal action brought before a court of law with the intention of upholding the public interest is known as public interest litigation. Based on landmark rulings from the Supreme Court and High Courts, this article examines environmental jurisprudence and public interest litigations. Public interest litigation has demonstrated that judicial intervention is possible in cases when the public is harmed due to the government's failure to fulfil its constitutional or statutory obligations. The only situation in which courts will step in is when the State is obviously failing to fulfil its constitutional or legislative obligations. Public interest litigation is a tool that must be handled very carefully and cautiously.
Assessment of Tongue Cleaning Habits in Suburban and Rural Areas: A Questionnaire-based Survey
Authors: - Apoorva Mhatre , - Arvind Shetty , - Dhanashree Thakare , - Sharvari Vadavale , - Vibhusha Thakur
Published: December 2024

The dorsal surface of the tongue serves as a significant reservoir for harbouring oral bacteria. The mechanical act of tongue cleaning helps in remarkable reduction of this bacterial load. The present survey aims to assess the prevalence and acceptance of tongue cleaning amongst the rural and suburban population. This survey also tries to identify the different factors influencing the habit of tongue cleaning. A questionnaire-based method was employed to determine the tongue cleaning habits amongst individuals residing in suburban and rural regions.
Ethical and Legal Implication of using Narco-analysis in workplace related Investigations: A case study
Authors: - BAVISETTI YAGNA PRIYANKA , - SHANTAM CHAKRABORTY , - SALONI BORA , - AKASH SINGH
Published: December 2024

Narco-analysis, a controversial investigative technique involving the administration of drugs to induce a semi conscious state in suspects. Barbiturates and benzodiazepines are both central nervous system depressants that have been utilized in narcoanalysis the court admissibility of narcoanalysis remains a debatable issue in legal system worldwide. The investigation focused on three employee’s management found that the missing items were last
accounted during shifts when all three employees were on duty. Recognizing the need for further inquiry, management decided to utilize narcoanalysis, a technique involving the administration of a truth serum, to obtain a truthful
confession from employees. This case underscores the ethical and legal considerations of using narcoanalysis in workplace investigations, particularly issues related to consent, reliability and potential issues coercion.
Cr(VI) Remediation with Economical Adsorbents: A Path to Environmental Sustainability
Authors: - Shilpa S.Patil , - S.V.Anekar
Published: December 2024

Hexavalent chromium Cr(VI) is a highly toxic heavy metal frequently found in Electroplating,Tanneries,Textile & paint industrial wastewater. This study explores the use of waste foundry sand (WFS), Bael fruit shell (BFS), and copper benzene-1,3,5-tricarboxylate (Cu-BTC) metal-organic frameworks (MOFs) for Cr(VI) adsorption. Batch adsorption experiments were conducted under varying pH, Cr(VI) concentrations, contact time, and adsorbent dosages. Characterization of the adsorbents was performed using SEM analysis. The results showed that the Cu-BTC MOF had the highest adsorption capacity, with significant synergies observed when combined with WFS and BFS. These findings indicate that integrating waste materials with MOFs can provide a cost-effective and efficient method for environmental remediation
HRIS SOLUTIONS FOR WORKFORCE OPTIMIZATION: LEVERAGING SCALABLE ARCHITECTURES
Authors: - Rajender Bhukya
Published: December 2024

Human Resource Information Systems (HRIS) have emerged as critical tools in managing
workforce dynamics, integrating functionalities such as payroll, employee engagement, and
workforce analytics. Despite advancements, achieving scalability, real-time data processing, and
seamless integration remains a challenge. This research explores scalable HRIS architectures,
focusing on AI-driven insights, robust CI/CD pipelines, and multi-modal trust frameworks to
enhance workforce optimization. Using Jenkins and Kubernetes for deployment, the study
demonstrates improved operational efficiency, reduced downtime, and enhanced employee
satisfaction. Quantitative and qualitative analyses validate the effectiveness of these
architectures, offering a blueprint for future HRIS developments.
Health Status of Primary School Children: Study in Rural Areas of Lucknow
Authors: - Dr. Sathiyaseelan G.
Published: December 2024

Children are open to a variety of influences. The most important influence comes from their homes and communities. Health values, attitudes and behaviours are shaped from the early childhood years. School is defined as an educational institution where groups of students pursue their studies at defined levels, receive instructions from one or better qualified teachers. It is estimated that every third child has some sign if ill health manifesting in the form of dental, visual and hearing problems, nutritional deficiencies, respiratory infections, skin disorders, loco-motor disabilities etc. Methods: The present study was a school based descriptive cross-sectional study. The study was conducted in selected primary schools at Sarojini Nagar, Lucknow. The sample consist of 150 preschool children. the samples were selected by non- probability convenient sampling technique. The data was analyzed and inferences were drawn. Results: The study revealed that majority of the boys (55.05%) were normal weight and (25.8%) were underweight, were as 44.3% of girls were normal weight and 24.6% were underweight. 14.6% boys and 16.3% of girls had dental caries, 10.1% of boys and 11.4% girls had refractive errors, 17.9% of boys and 27.8% of girls had upper respiratory infections, 23.6% of boys and 27.8% of girls had pallor, 35.9% of boys and 39.3% of girls had pediculosis. Conclusion: The study concluded that the school health education should mainly target at these problems with special focus on good nutrition, personal hygiene care of pediculosis should be emphasized.
Voices of Unconsciousness in Romantic Works
Authors: - LILIT ANNA VARGHESE
Published: December 2024

This paper explores the relationship between Romanticism and the unconscious mind, shedding light on the profound influence of psychological study during the Romantic era that flourished in the late centuries
Quest for Self-Identity and Freedom: A Critical Study of Women Characters in Bapsi Sidhwa’s Ice-Candy-Man
Authors: - Swati S. Kolekar , - Dr Digambar M. Ghodke
Published: December 2024

Abstract

The present qualitative study aims to analyse the women characters in Bapsi Sidhwa’s Ice-Candy-Man (1982), also known as Cracking India (1988), by using a comprehensive analysis method. After analysing in the novel, which is set during the partition of India in 1947, the study found that the women characters seek self-identity and freedom in a multicultural society and a period of socio-political turmoil. These women struggle, and sacrifice for their existence. The novel depicts the difficulties such as societal norms, personal values, and external pressures confronted by the women characters in their pursuit of self-identity and freedom. The women characters in the novel face numerous challenges in the pursuit of personal identity and liberation in a conservative society. Going against societal expectations and challenging patriarchal norms, they pursue self-respect and create independent positions in society. The present study concludes with a remark that the struggle, fights, and desire for an independent existence of Bapsi Sidwa’s women characters bring into light the underlying feminist attitude and approach of both characters and the writer per se.
Impact of Learner -Centric Instructional Approach and Comprehensive Assessment for Professionalism among Nursing Students: Study Protocol
Authors: - Mini Simon M , - Tripti Wagmare
Published: December 2024

Abstract: Nursing professionalism refers to the behaviour of individual professionals, revealed through the interactions with patients or clients. Nurses have the responsibility to exhibit high level of professional values woven with sound ethical principles as per the needs of the society. Inculcating professional values in nursing education is essential to ensure the professional behaviour of the future nursing professionals. As the global trend of pursuing the clinical competence in nursing professionals, Indian nursing education lack learner centric approach in teaching learning and evaluating their professional skills. This research aims to evaluate the impact of learner centric instructional approach and comprehensive assessment for professionalism.
Methodology: Quasi-experimental method, pre - test & post- test study will be conducted. Pre- test on cognitive and attitude (Professional behaviour ) assessment will be done, prior to the randomization of students in two groups using lottery method. There will be 50 students in each group (P1&P2). P1 will be taught by conventional method (lecture method and roleplaying). P2 will be taught by learner centric approach by “2 minute to win game” and brainstorming (using Kahoot! app). Post- test will be conducted within three days of the intervention. Comprehensive assessment-360degree evaluation will be conducted to both groups after three months of intervention.
Expected Results:There will be significant difference in the cognitive, affective and professional skills learners who undergone learner centric instruction, i.e.“2 minute to win game ” and brainstorming (using Kahoot! app) . The 360 degree assessment method will provide the data regarding the robust approach of teaching and assessment of professionalism among nursing students.
Intelligent Patient Prioritization: A Dynamic Approach for Military OPDs
Authors: - Sachin Behl , - C.R.S Kumar
Published: December 2024

The Indian military healthcare framework serves a vital role in providing medical care to active-duty personnel, veterans, and their families. Despite an extensive network of specialized facilities, these systems often struggle with inefficiencies in patient flow, especially in Outpatient Departments (OPDs). Traditional queue management methods, such as first-come-first-serve and token systems, lack the sophistication to address critical factors like patient urgency, workload distribution, and real-time changes in doctor availability. Consequently, patients experience prolonged delays, and healthcare resources are underutilized.

This research proposes an innovative dynamic queuing algorithm designed to streamline patient management in military OPDs. The model incorporates three key elements: Weighted Round Robin (WRR) scheduling to allocate patients based on predefined priorities, a Tribonacci sequence-based aging mechanism to dynamically enhance priority for waiting patients, and a real-time load-balancing system that optimizes the allocation of medical resources. A simulated evaluation of the proposed system demonstrated significant improvements, including reduced waiting times and evenly distributed workloads, underscoring its potential to enhance both patient satisfaction and hospital efficiency.

By replacing static methodologies with a dynamic, adaptive framework, this approach offers a scalable solution tailored to the demands of high-pressure healthcare settings like military hospitals. Furthermore, its multi-faceted design makes it an ideal candidate for deployment in other complex healthcare environments requiring efficient resource allocation and responsive patient management.
A Review on Overall Treatment on Conjuctivities
Authors: - Shrirang Kharmate , - Saurabh Joshi , - Dipak Phalle , - Mrudula More , - Mrunal Mali , - Pratibha Shingade
Published: December 2024

A very common ailment that affects the eye's conjunctiva, conjunctivitis causes redness, irritation, and frequently discharge. Numerous things, including as bacterial or viral infections, allergies, and environmental irritants, can cause it. Conjunctivitis is usually self-limiting, but when it is brought on by infectious microorganisms, it can have serious clinical, social, and financial repercussions. The most recent developments in conjunctivitis therapy are reviewed in this study, which also examines the underlying processes, diagnostic techniques, and pharmacological and non-pharmacological management options. We also go over new therapeutic approaches and developments, such as the use of tailored medicine and sophisticated medication delivery systems.
The Ethics of AI in Warfare: A Responsible Innovation Framework
Authors: - Syed Taha Hussain Kazmi
Published: December 2024

The fast track acceptance of artificial intelligence (AI) in combat introduces ethical dilemmas that call for a cohesive approach ensuring compliance with humanitarian laws and moral standards. In this paper, we develop a framework for responsible innovation in military AI, driven by teachable moments learned from the Athena AI Case Study. We examine some of the ethical concerns surrounding autonomy in warfare, such as accountability, transparency, bias, and human control, and propose guidance aimed at mitigating these possible risks. Findings indicate therefore that adherence to the principles of Responsible Research and Innovation can make it possible for AI to ethically spread in defense.
Teaching Styles and Language Learning Strategies as Predictors of Academic Satisfaction of ESL Learners in the New Normal
Authors: - Jaysa B. Cabrera
Published: December 2024

This research aimed to investigate the relationship between teaching styles and language learning strategies as predictors of academic satisfaction among ESL learners in the new normal educational context in the Philippines. A quantitative approach was employed, utilizing a survey questionnaire administered to a sample of elementary students. Key findings revealed that students' learning styles significantly correlated with their academic satisfaction and performance in their language learning strategies. The study concluded that effective teaching styles and appropriate language learning strategies are crucial for enhancing students' academic satisfaction experiences. The implications of this research suggest that educators should adopt more interactive and student-centered teaching methods to improve ESL learners' satisfaction and performance in the new normal learning environment. This study contributes to the understanding of how teaching practices can be optimized to meet the needs of ESL learners in the Philippines.
Bridging the Gap: A Holistic Framework for Understanding and Improving Dentist-patient Communication
Authors: - Shrushti Sukalkar , - Juhi Gundavda , - Shruti Zore , - Pragya Singh , - Arvind Shetty
Published: December 2024

The existence of a dynamic dentist-patient interaction is extremely vital for experiencing maximum dental care as well as satisfaction in patients. This review thus goes on to examine some of the most important aspects such as age, sex, health status, socioeconomic status, communication skills, ergonomics, and ethical principles. Further, it discusses the disparity between ideal practice and what is actually happening and highlights some barriers such as time constraint and communication. The recommendations for dental education are diversity training, communication workshops, and experiential training. The review further emphasizes on personalized care strategies and future research on technology integration, cross-cultural studies, and interdisciplinary approaches to improve patient care and dental outcomes.
Exploring the Design and Optimization of Asymmetric Super Capacitors for Improved Energy Storage Performance
Authors: - Ritesh Kumar Keshrwani , - Dr. Anil Sharma
Published: December 2024

The design and development of asymmetric super capacitors represent a significant advancement in the field of energy storage, offering enhanced performance characteristics compared to traditional symmetric supercapacitors. This section delves into the fundamental principles behind asymmetric supercapacitors, explores their design considerations, and presents an example design showcasing innovative approaches. The aim is to provide a comprehensive understanding of how asymmetric supercapacitors can be optimized for improved energy and power density, along with practical examples of their implementation.
Bridging Brains and Bots: the Influence of Intelligent Systems on Consumer Insights
Authors: - Rakesh D , - Satish D Raikar , - Sumalatha , - Asiya A , - Darshith S A
Published: December 2024

This paper provides a contemporary bibliometric review and examines the changing dynamics of the integration between advanced technologies and consumer behaviour insights. It methodically examines an extensive collection of academic articles, publications, and research findings to reveal trends and patterns at the crossroads of advanced technology and consumer behaviour insights. The review emphasises the advancements in methodologies, tools, and applications that have emerged from the fusion of cutting-edge technology and consumer behaviour insights. There has been a nota-ble and steady rise in academic focus on the convergence of advanced technology and consumer be-haviour analysis in recent years. The study also highlights the diverse approach of contemporary re-search in this area, incorporating disciplines like computer science, decision science, engineering, psy-chology, and medicine. The study is divided into five main areas: (1) the study of the brain and its structures; (2) techniques and tools for diagnostic imaging in neuroscience; (3) methods for processing and analysing signals; (4) the use of algorithms and neural networks; and (5) practical uses in under-standing cognition and perception. The findings from the bibliometric analysis enhance our compre-hension of the ongoing research landscape and offer a strategic direction for future studies, assisting scholars, practitioners, and policymakers in manoeuvring through the ever-evolving realm of ad-vancements in the intersection of technology and marketing psychology.