bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUATING THE WORLD DIGITAL LIBRARY: A DIGITAL FRAMEWORK FOR GLOBAL CULTURAL PRESERVATION
Authors: Akhoon Irfan ul Haq , Khan Mashood Yousuf
Published: February 2025

The rapid advancements in Information and Communication Technology (ICT), particularly the expansion of the World Wide Web (WWW), have led to a significant rise in digital library projects, especially in developed nations. These initiatives have revolutionized the way information is created, retrieved, disseminated, and utilized globally. In this context, the World Digital Library (WDL) emerges as a free, multilingual digital platform that preserves and provides access to diverse cultural and historical materials worldwide. This study critically examines the content and structure of WDL, focusing on country-wise contributions, time period coverage, subject classification, item types, language diversity, and institutional participation. The analysis provides insights into the composition and accessibility of WDL’s vast collection, which includes manuscripts, maps, rare books, musical scores, recordings, films, prints, and photographs. By evaluating these aspects, the study aims to highlight the role of WDL in global digital preservation, its strengths, limitations, and areas for potential enhancement.
Prevalence obesity and influencing factors among nurses in China: Systematic review
Authors: Luo Haijiao , Badrin Salwismawati , Yang Ting , Badrin Salziyan , Mohamad Noraini
Published: February 2025

Background: Obesity is a global health problem, and since nurses are health promoters, they, too, are not shielded from this scourge. This systematic review will attempt to determine the current status of obesity, occupational risk factors, lifestyle practices, and demographic variance among the nurses of the global community.

Objectives: This systematic review assesses the prevalence of obesity among nurses and identifies key risk factors, including occupational, socio-demographic, and lifestyle factors, contributing to obesity in this population.

Methods: This work followed the preferred reporting items for systematic reviews and meta-analyses guidelines with 42 papers incorporated in the systematic review after the search of the relevant databases. Screening criteria were developed based on the studies that reported the prevalence of obesity in the nurses’ samples, and standardized anthropometric measurements were used. Information was then gathered to estimate and document the worldwide prevalence of obesity and develop the risk factors.

Results: The global pooled prevalence of obesity in nurses was determined to be 32.4%, and it varies within the regions and is concerned with the socio-demographic factors of the population. Some of the factors that were found to have a higher prevalence of obesity include nurses, shift workers, people with chronic occupational stress, and those who use food as a way of dealing with their emotions. Therefore, the study established that age, gender, ethnicity, and SES were significant predictors of obesity, and its associated risks were higher among older and female nurses, ethnic minorities, and nurses of lower SES.

Conclusion: This review acknowledges the complex interplay between occupational, lifestyle, and socio-demographic factors that contribute to the risk of obesity among nurses. Factors such as stress, stress-induced eating, irregular working hours, and limited physical activity significantly increase obesity rates. Additionally, socio-demographic characteristics, such as older age and minority ethnic backgrounds, further elevate the risk of obesity among nurses.
Pay disparity and workforce turnover in Indigenous oil and gas firms in Port Harcourt, Rivers State, Nigeria
Authors: Samuel Ejiogu Anodi  , Stella Chinelo Nwagbala  , Nkechi Chukwuemeka-Onuzulike  , Ifeanyi Titus Tochukwu
Published: February 2025

This study examined pay disparity and workforce turnover in Indigenous oil and gas firms in Port Harcourt, Rivers State, Nigeria. The specific objectives of this study were: to determine the effect of the age pay gap on job satisfaction, as well as explore the effect of the gender pay gap on employee engagement in indigenous oil and gas firms in Port Harcourt, Rivers State, Nigeria. A descriptive survey research design was employed to collect data from the respondents with a structured questionnaire. Data were analysed using descriptive statistics of frequency tables and percentages. The arithmetic mean was used to analyse respondents’ responses and the hypotheses were tested using simple linear regression analysis with the aid of Statistical Package for Social Sciences (SPSS, version 27). Results indicated that the age pay gap has a statistically significant effect on job satisfaction. Also, there is a significant negative effect of the gender pay gap on employee engagement in indigenous oil and gas firms in Port Harcourt, Rivers State, Nigeria. The study concluded that there is a statistically significant negative effect of pay disparity and workforce turnover in Indigenous oil and gas firms in Port Harcourt, Rivers State, Nigeria. The study recommended that the management of oil and gas firms need to implement equitable compensation structures to bridge Indigenous pay gaps and boost employee commitment. Also, Oil and gas firms must eliminate gender pay disparities to enhance employee engagement by conducting regular pay audits, enforcing transparent compensation policies, and providing equal pay for equal work.
Bio-diversity of Episyrphus balteaus De Geer in northern India
Authors: Chanchal Shrivastav  , Sakshi singh  , Manoj Joshi
Published: February 2025

At large geographical scales, dense populations of various taxa are often associated with biodiverse regions. This trend has been observed in plants, invertebrates, amphibians, reptiles, birds, and mammals. However, it remains unclear whether aphids exhibit a similar pattern. Aphids are notably species-poor in tropical regions due to their evolutionary origins in temperate zones of the boreal hemisphere. In this study, three species of Homoptera were documented, with predators observed feeding on them in nursery plants located in the Bareilly region of Rohilkhand, Uttar Pradesh. The syrphid species Episyrphus balteatus De Geer and Metasyrphus confrater were recorded, both belonging to the family Syrphidae of the order Diptera, commonly referred to as flower flies. Observations primarily focused on Episyrphus balteatus De Geer, whose larval stages were found actively preying in the Rohilkhand region of Uttar Pradesh.
Homoeopathy and non-communicable diseases: An integrated approach
Authors: Dibyansh Kumar Singh Chauhan  , Abhishek  , Pintu Srivastava
Published: February 2025

An epidemiological transition is evident in low- and middle-income nations, such as India, where non communicable diseases (NCDs) and accidents are displacing communicable diseases as the leading causes of disability, morbidity, and premature mortality. Nowadays, globally, non-communicable illnesses are a significant problem. Non communicable diseases (NCDs), sometimes referred to as chronic diseases, are often long-lasting and caused by a confluence of behavioral, physiological, environmental, and genetic variables. More than 75% of NCD deaths worldwide occur in low- and middle-income nations, where individuals are disproportionately affected by these diseases.
Solar powered coordinated drone for last mile delivery
Authors: Olakunle Kumuyi
Published: February 2025

The rapid growth of e-commerce and urban logistics has intensified challenges in last-mile delivery, including traffic congestion, high operational costs, payload limitation for single drones, and environmental impacts. This study proposes a solar-powered coordinated drone system to address these issues by leveraging renewable energy and multi-drone collaboration.

The research focuses on four objectives: (1) developing a coordinated drone system capable of transporting heavy payloads for greater payload capabilities, (2) optimizing energy efficiency through solar panel integration and advanced battery technologies, and (3) calculate environmental impact reduction achieved by using solar-powered, (4) hybrid methodology combining system design, energy consumption modeling, and environmental impact analysis was employed to evaluate technical feasibility and sustainability. (6) Mathematical models for solar energy harvesting, thrust requirements, and power management were developed to optimize payload capacity and flight range. Results indicate that when compared to using fossil-fueled delivery for payloads beyond the capabilities of a single small delivery drone, using coordinated drones instead can reduce greenhouse gas emissions by up to 80% compared to fossil-fueled delivery trucks, with operational costs decreasing by 30-40%. Key innovations include dynamic solar charging analysis, application of Green Vehicle Routing Problem (GVRP) Model for route optimization, and Environmental Impact Analysis (Sustainability Assessment). Challenges such as solar panel efficiency constraints (15-30%), temperature impacts on energy generation. Power and Battery Capacity Relationship. The study concludes that solar-powered coordinated drones offer a scalable, eco-friendly alternative to traditional logistics, aligning with global sustainability goals. Future research should explore advanced solar materials, regulatory frameworks, and AI-driven traffic management to enhance adoption. This work contributes to the evolution of sustainable urban logistics, emphasizing reduced carbon footprints for payloads beyond the capabilities of a single drone, cost efficiency, and improved customer satisfaction through rapid, reliable deliveries.
Shifting Alliances: The role of non-regional powers in sahel security after ECOWAS departures
Authors: Adebobola Adedamola Omowon  , Damilola Bartholomew Sholademi
Published: February 2025

The security landscape of the Sahel region is undergoing a profound transformation following the withdrawal of the Economic Community of West African States (ECOWAS) from several member states. This shift has created a power vacuum, prompting non-regional actors—most notably Russia, France, and China—to redefine their roles in regional stability and governance. These external powers leverage military, economic, and diplomatic strategies to secure influence, often pursuing competing agendas that reshape security dynamics and political alignments in the region. Russia has expanded its footprint through military cooperation and security agreements, capitalizing on rising anti-Western sentiments and disillusionment with traditional partners. The Wagner Group, a Russian paramilitary force, has played an increasing role in counterterrorism operations and regime protection, particularly in Mali and Burkina Faso. Meanwhile, France, historically entrenched in the Sahel through Operation Barkhane and bilateral security agreements, faces diminishing influence as local governments pivot toward alternative partnerships. French disengagement has sparked new geopolitical realignments, with some states actively seeking security support beyond their former colonial ties. China's involvement, while less overtly military, focuses on economic statecraft and infrastructure investments under the Belt and Road Initiative (BRI). Through financial aid, arms sales, and economic diplomacy, China seeks to maintain strategic relationships while avoiding direct military entanglement. As competition among these actors intensifies, the Sahel’s security trajectory remains uncertain, with implications for regional stability, counterterrorism efforts, and governance. This study examines the evolving role of non-regional powers in Sahel security post-ECOWAS, analyzing their strategic interests, engagement tactics, and the broader geopolitical consequences of their involvement.
The impact of cybersecurity on financial reporting: Strengthening data integrity and regulatory compliance
Authors: Apooyin Agboola Emmanuel
Published: February 2025

Cybersecurity plays a critical role in financial reporting by ensuring data integrity, confidentiality, and regulatory compliance. As financial institutions and corporations increasingly rely on digital systems for financial transactions and reporting, the risks associated with cyber threats have grown significantly. Cyberattacks, data breaches, and system vulnerabilities can compromise the accuracy and reliability of financial information, leading to severe financial, operational, and reputational consequences. This paper explores the impact of cybersecurity on financial reporting, emphasizing the need for robust security measures to protect sensitive financial data. Strengthening cybersecurity frameworks can help mitigate risks related to data manipulation, unauthorized access, and fraud, ensuring the reliability of financial statements. Organizations must implement proactive security strategies, including encryption, multi-factor authentication, real-time monitoring, and compliance with regulatory frameworks such as the Sarbanes-Oxley Act (SOX), General Data Protection Regulation (GDPR), and Securities and Exchange Commission (SEC) guidelines. The findings suggest that a proactive approach to cybersecurity not only protects financial data but also strengthens the overall integrity of financial reporting systems. This paper underscores the necessity for organizations to prioritize cybersecurity investments to enhance data accuracy, reduce financial risks, and uphold regulatory obligations in an increasingly digitalized financial landscape.
AI-driven predictive maintenance systems for loss prevention and asset protection in subsea operations
Authors: Taiwo Oluwole Sobiyi  , Christopher Chuks Egbuna  , Saheed Remi Kareem  , Raphael Oluwatobiloba Lawal
Published: February 2025

This comprehensive review examines the transformative role of artificial intelligence in revolutionizing predictive maintenance systems for subsea operations. Through systematic analysis of industry implementations, technological frameworks, and documented case studies, we investigate how AI-driven systems enhance asset protection and prevent losses in challenging underwater environments. Our research methodology encompasses qualitative and quantitative analysis of implementation data, focusing on system performance, operational benefits, and implementation challenges. The research reveals that AI-driven systems substantially improve equipment reliability and operational efficiency in subsea operations through enhanced prediction capabilities and optimized maintenance scheduling. We address critical challenges in sensor reliability, data transmission, and system integration, providing insights into effective implementation strategies and risk management approaches. The study presents a framework for AI integration in subsea maintenance that considers both technical requirements and organizational factors, incorporating emerging trends in deep learning, digital twin technology, and real-time monitoring systems. This work contributes to the growing body of literature on digital transformation in subsea operations by offering a comprehensive analysis of AI's role in creating more efficient, reliable, and cost-effective maintenance systems.
APLIKASI PENGOLAHAN DATA SISWA
Authors: Ruhamah Ruhamah , Hakim M. Nur , Saputri Rezki Gita
Published: February 2025

Penelitian ini bertujuan untuk membangun aplikasi pengolahan data siswa pada SD Negeri 58 Salolo. Aplikasi ini diharapkan dapat membantu dan memudahkan dalam pengolahan data siswa di sekolah. Penelitian ini dilaksanakan di SD Negeri 58 Salolo. Jenis penelitian yang digunakan dalam penelitian ini adalah Research and Development (R&D) dengan menggunakan metode pengembangan penelitian waterfall. Metode pengumpulan data  yang dilakukan yaitu observasi, wawancara dan studi pustaka. Perancangan model sistem menggunakan pendekatan Unified Modeling Language (UML) yang terdiri dari Use Case Diagram, Activity Diagram, Sequence Diagram, dan Class Diagram. Hasil penelitian ini berupa aplikasi pengolahan data siswa yang dibangun menggunakan bahasa pemrograman Java, Netbeans IDE sebagai software pembuatan aplikasi, XAMPP sebagai web server database MySQL serta iReport untuk pembuatan laporan. Pengujian yang digunakan dalam sistem ini adalah menggunakan teknik pengujian black box, dimana semua tampilan dan fitur dalam sistem ini telah berfungsi dengan baik sehingga aplikasi ini dapat digunakan di sekolah SD Negeri 58 Salolo.
Redefining Heroism: A Tapestry Woven with Napoleon Bonaparte, Mikhail Kutuzov, Andrew Bolkonsky, Nicholas Rostov, Feodor Dolokhov, Captain Tushin, Pierre Bezukhov and Platon Karataev in War and Peace
Authors: Imamkhodjaeva Oidinposha
Published: February 2025

In his monumental work, “War and Peace,” Leo Tolstoy boldly confronts the traditional depiction of heroism in the context of war. He meticulously deconstructs the archetype of the flawless leader, replacing it with a diverse ensemble of characters who redefine heroism through their actions, motivations, and in some instances, their pursuit of a meaningful life. This essay delves into Tolstoy’s innovative portrayal of heroism through an array of characters, both historical figures like Napoleon Bonaparte and Mikhail Kutuzov, and fictional personas such as Prince Andrew Bolkonsky, Nicholas Rostov, Feodor Dolokhov, Captain Tushin, Pierre Buzukhov, and Platon Karataev. Tolstoy invites readers to perceive heroism not as grandiose acts or military prowess, but as the quiet strength, resilience, and moral compass exhibited by unsung heroes. The essay explores this theme through a diverse cast of characters, from unassuming soldiers like Captain Tushin to self-serving figures like Dolokhov, and disillusioned idealists like Pierre and Andrei. Contrary to the image of the glory-seeking conqueror, Tolstoy portrays heroism as the right way of being, embodied by ordinary people. The essay argues that true heroes prioritize duty, empathy, and a commitment to a greater purpose. The analysis extends beyond the battlefield, underscoring the heroism of resilience and compassion embodied by the peaceful survivor Platon Karataev. Lastly, the essay scrutinizes the complexities of heroism, acknowledging the imperfections of some heroes and the power of collective action. By dismantling the myth of the infallible leader, “War and Peace” urges us to recognize the various forms heroism can take and to celebrate the unsung heroes who shape our world. This essay encapsulates the essence of Tolstoy’s view of individual character and ethical and religio-philosophical views of individuals by providing a comprehensive overview of its key arguments and themes.
Keywords: Leo Tolstoy (the author), Heroism (central concept), Redefinition (how Tolstoy challenges traditional views), Ordinary Individuals (focus on non-traditional heroes), Quiet Strength (inner fortitude over outward displays), Resilience (ability to bounce back from adversity), Empathy (capacity to understand and share feelings), Moral Compass (strong sense of right and wrong), Duty (fulfilling obligations), Greater Purpose (contributing to something larger than oneself), Deconstructing the Myth (breaking down the idea of the infallible leader), UnsungHeroes (those who deserve recognition but are often overlooked), Flaws of Heroes (heroes are not perfect), Collective Action (heroism emerging from a group), War and Peace (the specific literary work analyzed)
REDUCING ALERT FATIGUE IN SOC TEAMS THROUGH CONTEXTUAL PRIORITIZATION AND THREAT INTELLIGENCE INTEGRATION
Authors: Kosle Atharva Rameshwar
Published: February 2025

Alert fatigue is becoming a bigger problem for Security Operations Center (SOC) personnel, which results in inefficiencies, missing important threats, and analyst burnout. It is challenging for analysts to concentrate on real threats since traditional alert triage systems produce an excessive amount of messages, many of which are low-priority or false positives. In order to overcome this difficulty, this conceptual paper suggests the Federated Adaptive Contextual prioritizing Framework (FACPF), which combines explainable AI, reinforcement learning, federated learning, and graph-based contextual prioritizing into a single, intelligent alert management system. To guarantee that severe threats are addressed right away, the suggested structure categorizes warnings according to severity, asset criticality, historical trends, and real-time threat intelligence feeds. SOC teams can get collaborative threat detection without disclosing sensitive information by utilizing Federated Learning (FL) for privacy-preserving intelligence sharing and Graph Neural Networks (GNNs) for contextual prioritizing. Additionally, Explainable AI (XAI) guarantees decision-making transparency, while Reinforcement Learning (RL) continuously improves alert prioritizing by integrating analyst feedback. The theoretical potential of FACPF to increase SOC efficiency through lowering false positives, speeding up reaction times, and maximizing analyst workload is described in this conceptual paper. Cybersecurity resilience is greatly increased by the framework’s smooth interface with SIEM/SOAR platforms, which permits automated threat response and real-time decision assistance. This research offers an organized road map for companies looking to reduce warning fatigue and optimize SOC operations using sophisticated AI-driven contextual prioritization, even though empirical validation is necessary.
Love of Neighbor Assessment: Validity, Reliability, and a Template for Measurement
Authors: VanderWeele Tyler J. , Padgett R. Noah , Case Brendan , Cowden Richard , Hanson Jeffrey A. , Hinton Christina , Kurniati Ni Made Taganing , Lomas Tim , Long Katelyn , Niemiec Ryan , Rutledge Jonathan , Teubner Jonathan , Town Sophia , Wilkinson Renae , Lee Matthew T.
Published: February 2025

Love of neighbor holds a prominent place in ethical and theological thinking across many cultures and world religious traditions. While arguably central to the promotion of societal wellbeing and human flourishing, little has been done on its empirical assessment. We present a measure of love of neighbor, grounded in a broader conceptual framework concerning interpersonal love, and examine its psychometric properties using cognitive interviews and analyses from datasets from numerous countries, cultures, and contexts. We present evidence for two distinct facets: unitive and contributory neighbor love. We discuss distinctions of unitive and contributory neighbor love from compassionate love, which might be conceived of as contributory neighbor love within the context of suffering. Psychometric properties of the measure concerning consistency, reliability, internal structure, relations between indicators, and measurement invariance are presented. The measure lays the foundation for future empirical study of the distribution, causes, and consequences of love of neighbor.
Bayesian Factor Mixture Modeling with Response Time for Detecting Careless Respondents
Authors: Zhang Lijin , Ulitzsch Esther , Domingue Benjamin
Published: February 2025

Careless respondents inject noise into data which can distort research findings and compromise model fit. To address this, factor mixture modeling (FMM) has been widely used to identify careless respondents. Traditionally, researchers have relied on reverse-worded questions in FMM to facilitate the detection of careless responding. With the rise of online data collection platforms, response time has appeal as a means for detecting careless respondents. We introduce a Bayesian factor mixture model that utilizes response time to identify careless respondents. By jointly modeling responses and response time, this approach effectively identifies careless individuals exhibiting rapid and random response styles. Through simulation studies, we found that: (1) the proposed model achieves high estimation accuracy of key model parameters (i.e., loadings and intercepts); (2) it demonstrates high accuracy and sensitivity in correctly classifying respondents as either attentive or careless; and (3) it maintains classification error rates at an acceptable level. An additional benefit is that incorporating response time into the model enhances model convergence as well as accuracy of classification and estimation. An empirical study tests the applicability of the proposed model in real-world scenarios, comparing its performance to the traditional method based on reverse-worded questions. The results underscore the practical advantages of enriching FMM with collateral response time information in excluding careless responses and improving data quality.
Family Labour Out-Migration and Technical Efficiency: A Case of Rice Framers in Tanahun District, Nepal
Authors: Khanal Uttam
Published: February 2025

This paper explores the relationship between rural out migration and technical efficiency in rice production applying it to the case of Nepal using detailed survey data obtained from 150 farming households over 3 villages throughout 2012/13 growing season. The study finds mean level of technical efficiency is 78, 68 and 66 percent, respectively, for households with no migrant family members, with international migrants and internal migrants. The efficiency differences are explained significantly by age and education of the household head, livestock holding, participation of family members in agricultural related organization and migration status. Both international and internal migration has negative relation with technical efficiency. Similarly, migration of male member has a negative relation and female member migration has no relation with technical efficiency. The study shows that out-migration does not drive agricultural production enhancements, hence, policies intended to minimize farm labour out-migration and improve agricultural efficiency is of paramount importance.
The Relationship between Trade and Foreign Direct Investment in South Asian Countries: A Panel Data Approach
Authors: RejaulKarim Md , Islam Rakibul , Hassan Md. Mahmudul
Published: February 2025

The major objective of this paper is to examine the relationship among FDI, export and import in south Asian countries (Bangladesh, India and Pakistan) using panel data for the period from 1986 to 2013. The integration order has been identified using Levin, Lin & Chu, I m, Pesaran and Shin W-stat, ADF Fisher Chi-square and PP- Fisher Chi- square unit root test. The Kao test has been applied to investigate the long run relationship among variables. Finally a panel Vector Error Correction Model has been built to present the dynamic adjustment in relation of FDI, export and import. The tests results show that all variables are co integrated indicating a stable long run relationship among them. But overall short run relation is significant for FDI and import equation whereas for export equation is unable to generate any short run relationship. And none of the equation yields any short run causal relationship. The policy implication of this analysis is that FDI, export and import are closely related term; change in any single one depends on change in these two variables in short run except export while persisting long run relationship.
Human Development and Trade Liberalization A Comparative Study of Developing versus Developed Economies
Authors: Zehra Nigar , Alam Shaista
Published: February 2025

The aim of this paper is a comparative study of developing versus developed countries regarding the relationship between human development and trade liberalization. Human development index is used as a measure of development (social development) it is a combined or composite measure of three main components which are education, healthy life, and a decent standard of living. For this purpose, we selected seven developing and seven developed countries and use the log form of trade openness (trade liberalization), HDI, population growth, economic growth (GDP) and inflation (CPI) for the period 2005-2012. Results of fixed effect technique reveal a positive and significant link of human development with trade liberalization and GDP and negative and significant effect of population growth for both sets of countries, while inflation has negative and significant effect on developed countries and showing insignificant effect on developing countries. These results showed that trade openness have same effects for both sets of countries.
PUBLIC POLICY Art and Craft of Policy Analysis By R. K. Sapru, (2015)
Authors: Karna . Sohan Kumar
Published: February 2025

Not available.
Peace as an Event and Peace as Utopia: An Analysis on Mary Collins’ Ten Bells Street at War
Authors: Badri Prasad Pokharel
Published: February 2025

This paper analyses the plight and predicament of local residents of one locality in the East End of London’s Ten Bells Street where people are scared during the World War ll. Mary Collins’ novel Ten Bells Street at War is an account of three childhood friends who have been scattered due to the consequences of the war which had completely devastated the whole of Europe. People like Rose, Becky and Bernie have been living a terrific life under the shadow of Adolf Hilter’s tyranny and everyone is found to have been looking for an ultimate solution to regain the possibility of peace and solidarity in which all European and non-European, Christians and Jews etc. can live together as brothers and sisters. In this paper, I analyse the problems of scattered people due to the terrific consequences of the war based on different grounds: What consequences led the people to live away from their own family, friends and relatives? What is the cause behind their separation? Why have they been encountering unspeakable suffering while the war was in utmost peak? How can the issue of peace and solidarity be prevailed in the war-torn society? Can they live their life peacefully hereafter? Such questions are discussed using relevant peace and war theories.
Nexus between Vedic Scripture and Knowledge Creation Process in Vedic Philosophy
Authors: Bishnu Prasad Pokharel  , Balkrishna Sharma  , Sultana Banu
Published: February 2025

This article investigates the traces of Vedic and Vedantic claims of the source, origin, and processes involved in the creation of knowledge. This paper argues that perceptive experience, intuitive inference, and the testimony of the Vedas form the primary epistemology of transcendental knowledge. To examine this argument, it draws on the qualitative data pooled from an array of texts like the Vedic hymns, Upanishadic knowledge, the Bhagavad Gita, and the various critical comments on the Vedas as theoretical/conceptual tools. With the ascendancy of the Puranic age, mythology becomes prominent, overshadowing the Vedic epistemology of Shruti Parampara. Against this background, this article answers the problem of how the Vedanta, one of the most dominant worldviews of six systems of Eastern philosophy propounded by Shankara, examines the process of acquiring spiritual knowledge to attain the level of super-consciousness necessary to create valid knowledge. By problematizing the mythical conception of knowledge tradition as developed in the Puranic age, this study explores the steps of generating knowledge in the light of Shankar Vedanta and the Vedic tradition. Taking a lead from this cue, it concludes that consciousness, inference, and textual testimony of scriptural texts are integral components and valid processes of spiritual enlightenment.
Utopian Socialist Thought as the Foundation of Marxist Perspective
Authors: Govinda Prasad Mainali
Published: February 2025

This paper demonstrates that Utopian Socialist Thought serves as the foundation for the scientific socialist theories advanced by the prominent German thinkers Karl Marx and Friedrich Engels. The primary tenets of utopian socialist thought encompass the abolition of private property and the establishment of communal ownership of material goods and productive resources. Key Marxist texts, such as The Communist Manifesto, have prominently articulated the concepts of abolishing private property and establishing common ownership of natural resources and material goods. However, the foundational contributions that introduced these ideas were made by early utopian socialist thinkers, who are often overlooked in these discussions. In discussing the theory of historical dialectical materialism, there is frequent citation of Hegel's Idealism, while the long-standing Utopian Socialist concepts, such as communal ownership of property, are notably excluded. This paper examines the contributions of Utopian Socialist Thought, including the "Testament" of Jean Meslier, the concepts of "Equality Before the Law" and "Equality of Needs" proposed by French thinker Gabriel Bonnot de Mably, Morelly's Code of Nature, and the Babeufism of François Noël Babeuf, asserting their foundational role in the development of Marxist Theory of Scientific Socialist Mode of Production.
Impact of Financial Indicators on Nepalese Commercial Bank Stock Prices
Authors: Pramod Dahal  , Rajesh Gurung  , Shiva Raj Ghimire
Published: February 2025

This study examines the impact of key financial factors price-to-earnings ratio, book value per share, dividend rate, earnings yield, and market-to-book value ratio on the market prices of Nepalese commercial banks. Using descriptive statistics, correlation analysis, and multiple regression models, data from 209 annual observations spanning the fiscal years 2013/14 to 2023/24, provided by all Nepalese commercial banks listed on the Nepal Stock Exchange, were analyzed. The findings reveal a significant positive relationship between market price and both the price-to-earnings ratio and book value per share, indicating these variables play a critical role in determining stock prices. While the market-to-book value ratio, earnings yield, and dividend rate also demonstrated positive correlations, their impacts were less pronounced. These results emphasize the importance of profitability and valuation metrics in guiding investors' decision-making processes in the Nepalese stock market.
Dialogue Context in the Story of Two Women from Lachumanpur
Authors: Bishnu Neupane
Published: February 2025

The present study is related to discourse context analysis. The objective of this study is to analyze the physical and cognitive discourse contexts in the story ‘Lachmunpurka Dui Nari’ collected in Madanmani Dixit’s Shwetakali story collection. Discourse context analysis can be performed for any text. The presented story is also a text. This story presents physical contexts such as place, time, place, participant and social, economic, religious-cultural and ideological cognitive contexts. Therefore, this story is a suitable work to analyze on the basis of discourse context. Therefore, this article analyzes the discourse contexts presented in the story ‘Lachmunpurka Dui Nari’. For the analysis of the presented story, the basic principles of discourse analysis have been adapted and textual analysis has been carried out. Primary and secondary sources have been studied, analyzed and interpreted using the inductive method. Both physical and cognitive contexts are presented in the story. The Lachumanpur village located in the Bara district of the Terai, the well there, Raghubir's hut, the khatiya in the Osara, the cold hut, the school, the family home and the husband's home are the spatial contexts. The morning, afternoon, evening, the time of lighting the lamp, the night, etc. of the month of Chaitra indicate the temporal context in the story. The story presented is an incident that occurred during two hours of the evening. Musaharani, Kurmini, Raghubir and Dhanraj indicate the participatory context. The spatial, temporal, temporal and participatory contexts presented also indicate the cognitive context. Under this, they indicate the social, economic, religious-cultural and ideological contexts. It is concluded in this article that the story has become more powerful due to these physical and cognitive contextual contexts presented in the story.
Achievement Goal Orientation and Curricular Engagement in Veterinary Students
Authors: Neel Jennifer A. , Hedgpeth Mari-Wells , Armitage-Chan Elizabeth
Published: February 2025

Achievement goal orientation (AGO) defines student motivation and whether they are driven by learning and competence (mastery orientation) or performance markers, such as grades (performance orientation). Competency-based veterinary education aligns with a mastery orientation, particularly when students are assessed on the basis of achieving competence, rather than using grades. This study uses a mixed-methods approach to report the AGO of veterinary students and evaluate their responses to educational challenges, describe how they maintain motivation, and explore their perceptions of grades using AGO as a theoretical framework. Most students are more strongly mastery oriented but also typically have moderate to strong performance goal orientation. Focus group analysis shows evidence of both orientations in students’ behaviours, regardless of their predominant orientation, and these behaviours are, at times, conflicting. Curricular overload is viewed as a significant educational challenge, exacerbating performance avoidance behaviors (e.g., procrastination). Students profess to enjoy educational challenge but are adept at constructing narratives around why some challenges are not considered fair or legitimate, which may suggest false mastery mindset. They also tend to state preferences for pass/fail grading but have complex feelings about grades, and some desire objective feedback on performance relative to peers. In the absence of objective feedback, students leverage a variety of methods (both mastery- and performance-oriented) to maintain motivation and achieve comparisons with peers. Withdrawal of objective measures such as grades, grade point average, and class rank would need to be carefully coupled with sufficient feedback and support for students who may rely on these as motivators.
Exploring Experiences of Intense Academic Stretch in Veterinary Educators Enrolled in an Education Masters. Is This Imposter Syndrome or Am I a True Imposter?
Authors: Trimble Amanda , Fox Kirsty , Armitage-Chan Elizabeth , Davis Rachel
Published: February 2025

Professional work often requires individuals to operate outside their comfort zone (professional stretch), and this can facilitate learning and growth. Self-doubt is common when experiencing professional stretch. For some individuals in some contexts, self-doubt can be so profound that learning stops. Imposter syndrome (IS) is paradoxical self-doubt; individuals believe themselves poorly capable of competencies in which they excel. Affected individuals feel they must work exceptionally hard to succeed. IS has been observed in clinicians, students, and educators, which has important implications for supporting student development. This study sought to understand the relationship between academic/professional stretch and intense self-doubt in a population of veterinary educators, with the aim of better supporting learning in stretching workplace environments. Interviews were undertaken with seven female veterinary educators undertaking an MSc in Veterinary Education. Data were processed and experiential themes were derived using an interpretive phenomenological analysis (IPA) approach. Participants described extreme academic discomfort, linked to poor self-efficacy, exacerbated by feedback that was perceived to be unexpectedly negative. Distance followed by dialogue enabled some participants to process difficult emotions so that learning could continue. Participants recognized IS in others. Their own imposter-like thinking was less well recognized, being experienced in tandem with self-doubt rooted in real rather than imagined competence gaps. On the basis of this research, close mentoring relationships are advocated, so that through facilitated reflective dialogue, feelings of intense self-doubt can be better understood and supported, facilitating learning. Students can benefit from teachers’ experiences of academic stretch, and this should be investigated further.
Primary Screening of Selective Agonists and Adrenoreceptor Blockers on A New Paramecium Caudatum Model
Authors: G. A, Gruzdev
Published: February 2025

The study investigated the impact of selective agonists and antagonists of adrenergic receptors at different concentrations on the behavior of the unicellular organism Paramecium caudatum. It was demonstrated that exposure to methoxamine at a concentration of 10-3 M increases the movement speed of Paramecium caudatum cells but reduces the number of motile cells by activating various intracellular processes. The presence of phenylephrine at a concentration of 10-3 M in the environment decreases motor activity and exhibits similar effects to adrenaline.

The introduction of terbutaline at a concentration of 10-3 M leads to a sharp and prolonged increase in cell movement speed and overall activity, while the addition of dobutamine at a concentration of 10-3 M reduces motor activity. The study also showed the effects of selective blockers prazosin and atenolol at a concentration of 10-5 M, which manifested in the complete correction of the effects induced by the corresponding selective agonists on all investigated parameters of motor activity.
Setting standards for child's stool reasonable data for effective prevention in India
Authors: Hajare Rahul
Published: February 2025

Child stool indicate numerous concepts for identifying and influencing human health have emerged from microbiome research; nevertheless, the area has difficulties in repeatability that prevent these objectives from being realized.
The Effect of Physical Activity on Psychological Health in The Process of Healthy Aging: A Narrative Review
Authors: Oral Onur
Published: February 2025

Background:

This review article aims to emphasize the psychological and overall health effects of regular physical activity during the healthy aging process.

Materials and Methods:

In the search for scientific literature for this review, data from the US National Library of Medicine (PubMed), MEDLINE, PsycINFO and SportDiscus were used, and the terms “physical activity’’,’’psychological health’’, ‘’healthy aging’’, and “overall health” were used. The relevant literature has also taken its source from the research of relevant articles from reference lists derived from data searches.

Results:

The literature on the effects of regular exercise on psychological and overall health is extensive and has elucidated the short- and long-term consequences of physical activity on mood, cognitive function, anxiety, depression, mental health, and overall health.

Conclusion:

Since it is known that regular exercise can be an effective tool in improving psychological health at almost all ages, but especially in older adults, attention should be paid to the importance of exercise in the healthy aging process. For this reason, it is thought that the implementation of exercise programs in residential areas and workplace environments will have a wide range of contributions to overall health and psychological health.
Analysis of Identified Variants of Sexual Somatotypes in Young Female Judo Athletes
Authors: Anatolyevich Bugaevsky Konstantin
Published: February 2025

The article presents the results of the conducted study, which aims to study and analyze the variants of the identified sexual somatotypes in female students of the 1st to 5th years of the University of Physical Education, professionally engaged in judo.
Exhibition Reviews
Authors: Grussani Linda , Smith Rachel E. , Nyssen Garance , Serber Luiza de Paula Souza , Kwapnoe-Dakup Na'ankwat , van Heerden Jessica Hope , Takoniatis Maraya , Kihleng Emelihter , Ibrahim Amrita , Wang Yi
Published: February 2025

In 2022, the MacKenzie Art Gallery in Regina, Saskatchewan, Canada, organized and launched the ground-breaking exhibition Radical Stitch, North America's largest ever beadwork exhibition to feature contemporary First Nations, Métis, Inuit, and Native American artists. The exhibition, which has been awarded the 2024 Canadian Museums Association/Association des Musées Canadiens Award of Outstanding Achievement, is curated by an esteemed Indigenous curatorial team comprising Sherry Farrell Racette (University of Regina), Cathy Mattes (University of Winnipeg), and Michelle LaVallee (National Gallery of Canada) and joined a series of smaller exhibitions emerging in recent years that underscore the widespread and growing practices of beaders. Spanning two large gallery spaces, the exhibition brought together over 100 works by 48 artists from coast to coast to coast and from both sides of the imposed International Boundary dividing Canada and the United States.
Public Health Innovations Through Network Systems and Internet Technologies: A Review
Authors: Khanjar Al-Behadili Ahmed Hasan
Published: February 2025

The Internet of Network Systems (IoNS) is a groundbreaking integration of networked devices, digital platforms, and powerful data analytics that is transforming the provision, monitoring and administration of health care. This research target is to assess IoNS effects on the health industry,focusing on its application in disease surveillance, telemedicine, remote patient monitoring, and data-driven decision-making. In the same context, we discuss the theoretical frameworks, methods, benefits of IoNS, and the problems and limitations concerning its adoption. Such problems and limitations involve data privacy, interoperability, and the digital divide. Last but not least, we highlight directions for further investigations and actions, especially regardingthe introduction of modern technologies such as 5G, blockchain, and artificial intelligence IoT devices that can improve IoNS capabilities in the health sector. The review aims to explain in detail how IoNS is transforming the health sector and for better patient outcomes by collating existing literature
Diseño e implementación de un detector de electrones en espectroscopia Mössbauer por reflexión
Authors: Cruz Muñoz Beatriz , Gil Monsalve Khaterine , Medina Milton Humberto , Osorio Jaime Alberto
Published: February 2025

A proportional detector for gas flow was designed, which can be applied to analyze both, bulk and thin films samples, using the Conversion Electron Mössbauer Spectroscopy technique (CEMS). The prototype is a stainless steel cylindrical chamber with extrusions for the input and output gas flow, conductive strands and a sample holder which is bound to a micrometer, which allows to vary the distance between the sample and the copper strands. A gas mixture of 95% He + 5% CH4, which serves as signal multiplier gas and in turn controls the electron multiplication avoiding discharges that can damage the surface of the sample was used. The device was calibrated acquiring ICEMS spectrum for a sample containing iron, adjusting it with the MOSSFIT program, obtaining reported values from the hyperfine parameters.
Construcción de modelos 3D para la enseñanza de la Ley de Gauss en forma diferencial
Authors: Rojas  García Ángel Antonio , Atehórtua Rico Gustavo Alberto , Márquez Roland , Osorio Dairo , López Ríos Sonia , Mora Ley Cesar Eduardo
Published: February 2025

This article presents some results of a research project aimed mainly to involve students in scientific modeling activities, through building computer models. The study was conducted with a group of 43 students of Civil and Systems Engineering from Universidad Cooperativa de Colombia, located in Ibague, and was based on the scientific modeling, the computational modeling and the Meaningful Critical Learning Theory. The main findings reveal that the implementation of the didactic approach based on problem situations that were modeled on computer programs, favored student interaction, discussion, the formulation of questions based on the Gauss’ Law and the construction of computer models used to represent problem situations presented, generating an understanding of concepts related to the field of knowledge.