bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Well-Being and AI
Authors: Mandal Sanchita , Hawamdeh Mahmoud M. Kh.
Published: February 2025

Artificial intelligence (AI) has become a transformative force in mental health and digital well-being, offering personalized wellness programs and AI-driven mental health applications. However, these advancements present significant ethical challenges, particularly regarding algorithmic bias and privacy. This chapter discusses the implications of algorithmic bias, where the underrepresentation of diverse demographics in AI models can lead to inequitable outcomes and privacy risks stemming from the misuse or mishandling of sensitive user data. Through real-world case studies, the chapter illustrates these challenges and their impact on equitable and trustworthy AI in mental health. It also proposes strategies to mitigate these risks, emphasizing fairness, transparency, and privacy in AI design. The chapter underscores the role of responsible digital citizenship, advocating for informed and ethical engagement with AI tools by users, developers, and policymakers for creating inclusive, ethical, and privacy-conscious AI systems to advance mental health and digital wellness.
Building Sustainable Data Ecosystems
Authors: Hullurappa Muniraju , Addanki Sireesha
Published: February 2025

Building sustainable data ecosystems is essential for organizations seeking to manage and utilize vast amounts of data across multi-cloud environments. A sustainable data ecosystem ensures the secure, compliant, and efficient management of data while supporting long-term business objectives. This framework focuses on the integration of data governance practices in multi-cloud environments, emphasizing the importance of data quality, security, and compliance. It also explores the use of advanced technologies like Artificial Intelligence (AI), Blockchain, and Machine Learning (ML) to optimize data management processes. The paper proposes a comprehensive approach to designing and implementing sustainable data governance strategies, ensuring scalability, flexibility, and transparency. The framework outlined in this work is aimed at helping organizations navigate the complexities of multi-cloud data environments while maintaining robust governance and fostering innovation.
ALLA SCOPERTA DI SCHEMI NASCOSTI NELLE DINAMICHE COMPLESSE: DAL PROBLEMA DEGLI N-CORPI ALLE RETI NEURALI (E RITORNO)
Authors: Canneori Gian Marco , Terracini Susanna
Published: February 2025

In this note, we present the theoretical and computational approach our research group is developing to detect chaotic behaviours in the classical N-body problem of Celestial Mechanics. Inspired by the famous Poincaré conjecture, we numerically determine large sets of symmetric periodic orbits and we encode their simple motions by revealing the existence of a symbolic dynamics. Finally, we explore a new idea for combining periodic orbits to create new solutions with increasing complexity, using AI algorithms. We also revisit Conley’s ideas on low-energy transport orbits.
Diagnostic difficulty in an adolescent with dissociative identity disorder
Authors: Patel Kajal M. , Magula Luzuko
Published: February 2025

Introduction: Dissociative identity disorder (DID) is a complex and controversial psychiatric condition characterised by the presence of two or more distinct identities, personality states, or identities that recurrently take control of an individual’s behaviour. The identities or personality states may have distinct characteristics, memories, and behaviours, making identifying and differentiating them challenging. We describe a complex case that presented diagnostic challenges because of the fluctuations in psychiatric presentations associated with DID, and we outline a multidisciplinary and biopsychosocial intervention.Patient presentation: A 15-year-old transgender female presented with psychosis, suicidal ideation, a history of self-harm and aggressive behaviour, and panic attacks. She had a diary with excerpts that she could not remember writing and a history of forgetting certain parts of her day. She displayed extreme variations of psychiatric presentations, including depression, mania, panic, and aggression.Management and outcome: The patient’s alters were individually treated based on their psychiatric presentation and theme. Management followed the phased approach of the International Society for the Study of Trauma and Dissociation (ISSTD guidelines), which included establishing safety and symptom reduction, integration of traumatic memories and identity as well as rehabilitation.Conclusion: In this case report, we present an adolescent with a myriad of psychiatric presentations and describe her management. We summarise key difficulties that a clinician can encounter in diagnosing DID.Contribution: We bring awareness to the complexity of this diagnosis. Lastly, we propose an Multidisciplinary team (MDT) biopsychosocial approach that helps to manage the condition.
Bilateral bronchial stenosis in a patient presenting with stridor secondary to granulomatosis with polyangiitis: A case report
Authors: Thakkar Rishi , Murphy Russell , Piccott Devin
Published: February 2025

A 56-year-old male presented to the outpatient otolaryngology clinic for worsening stridor and exercise intolerance. Recently, the patient had been diagnosed with granulomatosis with polyangiitis, previously known as Wegner’s granulomatosis, and had been started on immunotherapy. On examination, the patient had pronounced audible stridor. Flexible laryngoscopy relieved thick glottic secretions, but normal vocal cord approximation and no obvious stenosis or webbing of the subglottic or proximal trachea. A computed tomography scan did not show any obstructive airway lesions, and the patient was consequently scheduled for direct laryngoscopy, bronchoscopy, and potential balloon dilation in the operating room (OR). On initial inspection in the OR, there was no evidence of subglottic or proximal tracheal stenosis. Distally, thick stenotic rings were noted in both mainstem bronchi. In collaboration with a cardiothoracic surgeon, balloon dilatation was performed. Over the next 2 weeks, the patient’s stridor improved.
Reduction of bielliptic surfaces
Authors: Takamatsu Teppei
Published: February 2025

A bielliptic surface (or hyperelliptic surface) is a smooth surface with a numerically trivial canonical divisor such that the Albanese morphism is an elliptic fibration. In the first part of this article, we study the structure of bielliptic surfaces over a field of characteristic different from

$2$

and

$3$

, in order to prove the Shafarevich conjecture for bielliptic surfaces with rational points. Furthermore, we demonstrate that the Shafarevich conjecture does not generally hold for bielliptic surfaces without rational points. In particular, this article completes the study of the Shafarevich conjecture for minimal surfaces of Kodaira dimension

$0$

. In the second part of this article, we study a Néron model of a bielliptic surface. We establish the potential existence of a Néron model for a bielliptic surface when the residual characteristic is not equal to

$2$

or

$3$

.
Discontinuity and the underground: permafrost imaginaries and subterranean worlds
Authors: Wrigley Charlotte
Published: February 2025

The subterranean has been imagined throughout history in a variety of ways, from religious ‘underworld’ narratives to more science-based constructions that utilize visualization technologies such as drilling or sensing. As these technological methods get more sophisticated, it seems the ultimate goal is to uncover the truth of what is down there; a process of excavation that values scientific objectivity and mastery over imaginaries that capture the underground as dynamic, relational, and full of life. This article takes a journey beneath the surface of Arctic Russia, dwelling within several manifestations of the subterranean: the Kola Superdeep Borehole, a utopian Soviet project to drill the deepest hole in the world; permafrost tunnels that store cores and other scientific data used to gain a further understanding of Arctic permafrost; and the tension between Indigenous Sakhan permafrost legends and a rise in the practice of extracting mammoth tusks from thawing permafrost. Across these stories and histories, I argue that the subterranean, far from being a static, knowable, excavatable thing, is in fact a discontinuous entity: impossible to grasp through scientific method alone, and instead an agential, unpredictable and heterogeneous materiality.
The Effectiveness of Brain-Based Learning (BBL) on Students’ Achievement and Knowledge Retention in Science
Authors: Abdul Rahman Shafia , Ajineh Ahmad Rachid
Published: February 2025

The aim of the current study is to investigate the effects of Brain-Based Learning (BBL) on academic achievement and knowledge retention in science subjects for middle school learners. The participants were six graders at one of the private schools in Abu Dhabi, United Arab Emirates (N=85). In the study, a pre-test (before the beginning of the experiment), experimental design (eight weeks), a post-test (week eight at the end of the experiment), and a retention test (ten days after the experiment) have been used to test the hypothesis. The participants were divided into two groups; an experimental group where 40 students were subjected to intervention of BBL during science classes for about eight weeks, and a control group where 45 students had conventional science classes. The pre-test results before the experiment and the post-test conducted at the end of week eight were analyzed to explore the effectiveness of BBL on students’ achievement in science, the data showed that there was no significant difference between the control group and the experimental group. As a view to explore the effectiveness of BBL on knowledge retention, the results of the post- test and retention test, conducted ten days after the experiment, were compared and analysed, the data showed that there was a significant difference in the results between the control and experimental groups in the boys’ classes. This suggests that BBL approach may be more effective on knowledge retention than the conventional teaching approach.
French Сolonizers on “Other” Сolonizers: Britain and Germany in Narratives of Paul Leroy‑Beaulieu and Jules Ferry
Authors: Demicheva Taisiia M.
Published: February 2025

The article examines the reflection of the images of France’s primary adversaries in colonial politics, Britain and Germany, in the narratives of the principal advocates of French colonization, namely Jules Ferry, who held numerous positions in the Third Republic’s government, and Professor Paul Leroy-Beaulieu from College de France.
This study examines the last third of the nineteenth century. This period is known as the peak of colonial expansion by leading European powers. Based on the methodology proposed by E. Said, this study will show the purpose the image of the “Other” colonizer constructed by the main ideologists of French colonization.
As a result of the analysis of narratives, it is possible to show the difference between images of the “Other” colonizers. The British colonizers were perceived as models and experts in colonial affairs, who deservedly occupied the main place in European colonization. At the same time, the image of the German colonizer came out quite different. That colonizer appeared as a malicious, suddenly appearing on the colonial arena rival, who made a number of mistakes. Thus, France’s main competitors were presented in very different ways: Great Britain as an equal rival, and Germany as a petty, suddenly appeared opponent, from whom one could not know what to expect.
Eles observam uma imagem e nós, pela antropologia visual, observamos uma Geometria no esqueleto da casa de pau a pique
Authors: Quimuanga Zeca Catuco André , Almouloud Saddo Ag
Published: February 2025

A ida ao campo, de modo que essa imersão permita o contato com o outro, caracteriza a produção de dados no fazer antropológico clássico. Em uma Antropologia em que os nativos se expressem por meio de imagens, abre-se a possibilidade de usá-la como campo e instrumento de pesquisa, em vez de serem apenas registros de observação. Na discussão presente neste ensaio, procurou-se identificar, a partir da imersão por observação, em uma perspectiva antropológica visual, os conceitos geométricos presentes no esqueleto de uma casa de pau a pique e suas articulações com o ensino. Os resultados evidenciaram que o esqueleto é sustentado por retângulos, quadrados, trapézios e triângulos, resultantes das interseções entre paus e/ou madeiras horizontais, verticais e oblíquos.
Perencanaan Instalasi Pengolahan Air Limbah PT. Putra Perkasa Abadi Jobsite Adaro Minerals Indonesia
Authors: Pramana Ningrom Yoga , Hardi Muhammad Arrafi , Paulus Yosiano , Triansyah Yuyun , Wicaksono Mario Andrean Nurhadi
Published: February 2025

PT. Putra Perkasa Abadi merupakan perusahaan pertambangan batubara yang memiliki kegiatan penunjang yaitu penggunaan infrastruktur. Kegiatan ini menghasilkan limbah cair domestik berupa greywater dan blackwater. Tujuan penulisan adalah untuk mengetahui karakteristik limbah cair domestik sesuai dengan Permenlh 68 Tahun 2016, merencanakan teknologi pengolahan air limbah, dan mengetahui efisiensi pengolahan. Untuk mengetahui karakteristik air limbah, dilakukan uji laboratorium pada inlet dan outlet air limbah serta membandingkannya untuk mendapatkan efisiensi pengolahan. Perencanaan teknologi pengolahan dilakukan dengan menganalisis alternatif pengolahan air limbah yang disesuaikan dengan kondisi eksisting dan RAB perencanaan. Hasil yang didapatkan bahwa outlet limbah cair domestik telah memenuhi baku mutu Permenlh 68 Tahun 2016 dengan efisiensi pengolahan untuk parameter BOD, COD, TSS, Minyak dan Lemak, Amoniak dan Total Coliform sebesar 60%, 49%, 16.6%, 40%, 37%, 100%, dengan teknologi pengolahan yang direncanakan yaitu grease trap, tangki ekualisasi, pre filter treatment, biofilter anaerob – aerob, multimedia filter, dan klorinator
Advancing Precision Healthcare: Machine Learning for Enhanced Diagnostics and Personalized Treatment
Authors: Muthineni Sridhar Rao
Published: February 2025

Precision healthcare has advanced substantially with the integration of machine learning (ML), enhancing diagnostic accuracy and facilitating personalized treatment approaches. This study investigates the application of three key ML models—Support Vector Machines (SVM), Random Forests (RF), and Recurrent Neural Networks (RNN)—within essential areas of patient care. Results indicate that RF delivers superior diagnostic accuracy with an accuracy rate of 93.2%, precision of 91.5%, recall of 94.0%, F1-score of 92.7%, and an AUC of 0.96, making it highly effective in handling complex clinical and genomic data for disease prediction and individualized treatment planning. SVM, with a diagnostic accuracy of 91.5%, precision of 89.8%, recall of 92.1%, and F1-score of 90.9%, also provides reliable classification, particularly for tasks involving patient profiles and genetic markers, which support early diagnosis and risk assessment. Conversely, RNN demonstrates its strength in managing chronic disease trends, achieving a Trend Accuracy of 86.7%, Prediction RMSE of 1.76, and a TimeSeries AUC of 0.93, confirming its suitability for analyzing temporal health data and supporting long-term disease management. This study addresses practical challenges in deploying ML within healthcare, such as data security, ethical implications, and clinical integration, through a comprehensive evaluation of the benefits, limitations, and specific applications of these models. The proposed framework demonstrates the potential of ML to enhance patient-centered care through accurate, reliable, and customized interventions, paving the way for innovation in precision healthcare.
The Effects of Toxic Leadership on Employee Happiness
Authors:   Doctoral Scholar, Department of Business Management, Northwest International University, Armenia., Ora ATAKPU Emmanuel , Ade BELLO Sunday ,   Visiting Professor, School of Business Management, Entrepreneurship and Leadership, Northwest International University, Armenia., Gogo NDAYAKO Aishetu ,   Permanent Secretary, Ecological Project Office, The Presidency, Office of the Secretary to the Government of the Federation, Federal Republic of Nigeria.
Published: February 2025

This study explores the effects of toxic leadership traits, such as narcissism, autocracy, discriminatory behavior, and leadership insecurity, on various aspects of employee happiness, including job satisfaction, work environment, compensation, and professional development. A total of 92 respondents from professional WhatsApp groups were selected using purposive and snowball sampling. Data were collected through validated questionnaires on toxic leadership and employee happiness and analyzed using descriptive statistics and Pearson correlation, as well as linear regression. Results show a moderate negative correlation between toxic leadership and employee happiness (r = -0.5189). The regression analysis revealed that when leadership toxicity was zero, employee happiness was 797.825, and for every unit increase in leadership toxicity, employee happiness decreased by 2.146 units. To mitigate toxic leadership, it is recommended that organizations regularly assess leadership toxicity for decisions related to training, promotion, and compensation. Future research should focus on gender-based comparisons of toxic leadership, sector-specific studies, and exploring the link between toxic leadership and productivity.
Pelatihan Pengelolaan Sumber Daya Manusia Di Era Digital Terkait Kepuasan Pelanggan Pada Umkm Resto Selera Sambal Cikarang Selatan
Authors: Rismawati Rismawati , Markos Aos , Rosanti Vira Citra , Shahyatul Intan Aissa
Published: February 2025

The culinary industry is one of the sectors that continues to grow rapidly and has great potential in the economy, especially in Indonesia. Micro, Small, and Medium Enterprises (UMKM) in the restaurant sector play an important role in providing jobs and increasing the competitiveness of the local economy. Rujito (2022) According to him, UMKM are one type of business that has a lot of influence on the Indonesian economy, both from the number of businesses formed and the number of jobs created. The purpose of the research we conducted was to provide training on customer satisfaction surveys in the digital era by utilizing current technology. The research method we use is by questionnaires and direct interviews with UMKM owners and employees of Resto Selera Sambal. The results of the study show that digital-based human resource management training at UMKM Resto Selera Sambal has a positive impact on improving service quality and slow satisfaction.
Emotional intelligence and academic performance in fifth grade students in a public educational institution, Tumbes, 2024
Authors: Cueva Cabanillas Jean Alex , Palomeque Yacila Yuri del Pilar
Published: February 2025

The research aimed to determine the relationship between emotional intelligence and academic performance among fifth-grade students in a public school in Tumbes, Peru, in 2024. It aligns with SDG 4: Quality Education by addressing factors that influence learning outcomes. The specific objectives included analyzing the relationship between the dimensions of emotional intelligence—emotional attention, emotional clarity, and emotion repair—and academic performance.
This quantitative, basic, non-experimental study employed a correlational causal design. The population consisted of 386 students, with a sample of 56 participants. The TMMS-24 test was used to assess emotional intelligence, while academic performance was evaluated through progress reports.
The results indicated no significant relationship between emotional intelligence or its specific dimensions and academic performance (p > 0.05). The conclusions highlight that academic performance is not directly influenced by emotional intelligence but rather by contextual and mediating factors, such as motivation and socio-emotional environments.
Las economías de consumo colaborativo y la satisfacción de los usuarios en los servicios de hospedaje de la ciudad de Ayacucho, 2024
Authors: Gálvez Molina Jorge Antonio
Published: February 2025

The objective of the research was to analyze the relationship between collaborative consumption economies and the satisfaction of users of lodging services in Ayacucho in 2024. Ninety-eight Airbnb users were surveyed, applying a quantitative, descriptive and non-experimental methodology. In the results, Spearman's Rho coefficient was applied, showing an average positive correlation of 0.657 between user satisfaction and consumption economies in Airbnb, indicating that lower prices and other economies increase satisfaction. With a p-value of less than 0.05, the correlation is statistically significant. The paper concluded that there is a positive correlation between user satisfaction and consumption economies on Airbnb. Diversity in supply and demand also shows a positive, albeit moderate (0.492) influence on satisfaction. This suggests that a greater variety of services can improve user experience. In addition, the use of collaborative and digital networks has a positive relationship with satisfaction, highlighting the importance of interaction in collaborative platforms and social networks in the perception of service quality.
Комплексная оценка уровня развития сельских территорий: обзор современных научно-методологических подходов и перспектив их интеграции
Authors: Чеботарева Е.Н.
Published: February 2025

В статье представлен обзор основных подходов к оценке развития сельских территорий. Обоснована важность интеграции различных подходов для создания комплексной системы оценки, учитывающей специфику конкретных территорий. Подчеркнута необходимость комплексного анализа сельских территорий для их устойчивого социально-экономического и экологического развития, а также для повышения их конкурентоспособности в контексте современных вызовов.

The article presents an overview of the main approaches to assessing the development of rural areas. The need to integrate various approaches to create a comprehensive assessment system that takes into account the specifics of specific areas is substantiated. The need for a comprehensive analysis of rural areas for their sustainable socio-economic and environmental development, as well as for increasing their competitiveness in the context of modern challenges is emphasized.
Сущность и основные черты неолиберализма: лондонская школа
Authors: Рыжов И.В. , Дмитриева Ю.И. , Рубищев А.Н.
Published: February 2025

В статье анализируются актуальные вопросы формирования такого направления экономической науки, отрицающего необходимость государственного регулирования хозяйственной деятельности, как неолиберализм. Особое внимание уделено взглядам наиболее ярких представителей лондонской школы неолиберализма, представляющей собой так называемое правое крыло неолиберализма.

The article analyzes the current issues of the formation of such a field of economics, which denies the need for state regulation of economic activity, as neoliberalism. Special attention is paid to the views of the most prominent representatives of the London school of neoliberalism, which represents the so-called “right wing” of neoliberalism.
Специфика прокрастинации обучающихся в образовательных организациях ФСИН России
Authors: Кузнецов М.И.
Published: February 2025

В статье исследуются особенности прокрастинации обучающихся в вузах ФСИН – будущих специалистов уголовно-исполнительной системы. В рамках исследования проведен опрос курсантов Академии ФСИН России. Цель исследования – выявить наиболее частые типы прокрастинации, встречающиеся в жизни обучающихся, причины их возникновения. Делается вывод, что наиболее распространенными причинами прокрастинации курсантов являются нехватка либо недостаточное планирование личного времени, в том числе отведенного на отдых; неуверенность в собственных силах, отсутствие навыков, умений самореализации, страх совершения ошибки.

The article examines the features of procrastination of students in universities of the Federal Penitentiary Service – future specialists of the penal system. As part of the study, a survey of cadets of the Academy FPS of Russia was conducted. The purpose of the study is to identify the most common types of procrastination found in the lives of students and the causes of their occurrence. It is concluded that the most common causes of procrastination among cadets are lack or insufficient planning of personal time, including those allocated for rest; lack of self-confidence, lack of skills, self-realization skills, fear of making mistakes.
Особенности механизма прохождения государственной гражданской службы в органах государственной власти
Authors: Соколов А.П.
Published: February 2025

В статье рассмотрены особенности прохождения государственной гражданской службы. Особое внимание уделено критериям, которым должен соответствовать государственный гражданский служащий, его обязанностям и правам. Отдельным аспектом выделены особенности прохождения аттестации и конкурсных процедур на замещение должностей. Также рассмотрены особенности государственной гражданской службы служащими в зависимости от их возрастной группы.

The article considers the features of civil service. Particular attention is paid to the criteria that a civil servant must meet, his duties and rights. A separate aspect highlights the features of certification and competitive procedures for filling positions. The features of civil service by employees depending on their age group are also considered.
Government Ownership Structure and Financial Performance of Firms Listed at the Nairobi Securities Exchange, Kenya
Authors: Kariuki Dorcas , Ochieng’ Isaac , Opuodho Gordon , Agong’ David
Published: February 2025

Purpose: Different groups of shareholders have a growing impact on the financial performance of companies listed on Nairobi securities markets. Policies regarding different ownership structures and the performance of companies at the NSE have led to the growing need to establish how distinct ownership structures influence the performance of this security market. This study sought to establish the relationship between government ownership structure and the impact it brings on the financial performance of firms listed at the Nairobi Securities Exchange in Kenya.
Methodology: The study adopted a causal quantitative design and targeted the population of all the 62 firms listed at the NSE, Kenya thereby conducting a census on the study population for a period of 10 years between 2014-2023. Secondary data was sourced from NSE, CBK, CMA, and financial statements of the respective companies listed at the NSE and stored in data collection sheets to aid in the analysis of data. STATA18 software was applied to conduct inferential analysis and correlation analysis using the panel regression model. The research correlation analysis findings depicted a weak negative correlation between government ownership structure and the financial performance of listed companies at the NSE.
Findings: The study findings of the panel regression model indicated coefficient values of 2.010 with P values of 0.051. From the overall results, government ownership had a negative effect on the financial performance of companies listed at the NSE, Kenya.
Unique Contribution to Theory, Practice and Policy: The study recommended strategies that will encourage more private individuals and institutions to co-own state enterprises, the study recommends that the government look into implementing management practices similar to those of the private sector and advance the divestment program. Furthermore, to provide government-owned firms an advantage in management, the government should think about implementing training in business acumen and entrepreneurship. In conclusion, the study recommends that the ownership structure in Kenya should be restructured to reduce government ownership further to pass more control and decision-making to private investors. However, the government should retain some ownership in foreign and local firms to enhance shareholders' confidence, protection of investments, and managerial monitoring.
UN EPISOD DIN ISTORIA ROMEI LA ÎNCEPUTURILE TEATRULUI ROMÂNESC: VIRGINIA DE VITTORIO ALFIERI
Authors: DIMA Gabriela E.
Published: February 2025

An episode of Roman History at the Beginnings of the
Romanian Theatre: Virginia by Vittorio Aliferi. In 1836, Constantin (Cos-
tache) Aristia published in Bucharest, at the printing house of Ion Heliade Rădu-
lescu, two translations of Vittorio Alfieri’s tragedies, Virginia and Saul, which he
staged with the aim of awakening the Romanians’ longing for freedom. The subject of Virginia is taken by Alfieri from the history of Livy, following the Latin text
with remarkable fidelity and developing its anti-tyrannical component. The present paper traces the way in which Livy’s episode reaches the Romanian language
through the poetic-dramatic achievement of the Italian writer.
POTENTIAL EFFECTS OF ADVANCED CYBERATTACKS ON CYBERSECURITY SOFTWARE BUYERS’ BEHAVIOUR
Authors: WAIZEL GUY , ZAIȚ ADRIANA
Published: February 2025

This research paper aims to develop a comprehensive understanding of
cybersecurity buyer behavior by integrating multiple theories. Specifically, we examine the
Theory of Buyer Behavior, the Theory of Reasoned Action, the Theory of Planned Behavior,
the Stakeholder Theory, and their relevance in the context of advanced cybersecurity attacks.
The paper proposes a new model, the Cybersecurity Buyer Behavior Effect Model (CB2EM),
which synthesizes insights from these theories to predict the potential effect of advanced
cybersecurity attacks, including zero-day supply chain attacks and stealth techniques attacks,
on cybersecurity buyer behavior. Through a systematic review and analysis of the selected
theories, we identify commonalities and complementarities, ultimately creating a unified
framework that enriches our understanding of how cyber incidents shape buyer decisions.
The CB2EM is expected to provide marketers and cybersecurity vendors with valuable
insights to effectively address buyer concerns in a rapidly evolving threat landscape.
MOTIVES AFFECTING THE PROFESSIONAL IMAGE OF THE MEDICAL IMAGING TECHNICIAN PROFESSION
Authors: MALUL MARKOVICH SARIT H. MALUL
Published: February 2025

This paper explores the motives affecting the professional image of Israeli
medical imaging technicians who provide doctors with a focused and clear picture for
diagnosing diseases and pathologies. This is achieved by multiple and diversified imaging
tests. However, despite technological developments, this profession suffers from low
image and, hence, workers’ supply is low. The research participants are 100 individuals
who wish to choose a career for life. The research instrument is a closed-ended
questionnaire. The research findings illustrate that the perception and awareness of this
profession are low since the public is not acquainted with this profession, namely the lower
the perceptions and awareness, the lower the professional image. Identification of the
motives that affect the image can help in bridging the gap in knowledge. Furthermore, this
can promote a marketing approach to the improvement of supply and an administrative
approach to the retention of workers in this important profession.
Navigating AI Ethics in Malaysian Universities: Addressing Privacy, Integrity, and Bias
Authors: Mohammad Norazlinda Hj , Zamri Norena Abd Karim , Roni Mastura , Hadi Siti Nur Izyandiyana Ab , Sadikan Siti Fairuz Nurr , Mahzan Sulaiman
Published: February 2025

It is undeniable that Malaysia has gone through a digital transformation landscape since the adverse advance of the Information Revolution (IR 4.0). This includes having Artificial Intelligence (AI), which has been hyped as most people have learned to utilize AI tools in various sectors or workplaces.  The education sector is one of them, as we can see most of the students and academicians are using it profusely in producing good assignments, reports, dissertations, videos, scripts, background music, design and others on a large scale.  (Nemorin et al., 2022) AI is a great innovative technology where several types of AI tools are used in the education sector. Nevertheless, it has the implications of it as people are now interdependent or rely excessively on AI technologies and it somehow diminishes the quality, critical mind, analytical thinking, original work, quality and authenticity of the product output.  Due to the negative repercussions as well as the challenges on integrity issues brought on by AI, researchers and society have increased their attention on the side effects of AI in the education field. Thus, this present study aimed to contribute in providing a framework or guidelines that monitor and mitigate this problem from getting out of hand. Using the online survey, data was collected from Malaysian respondents as part of the study's quantitative research approach. The data were analyzed through the Structured Equation Modeling (SEM) technique using Smart PLS version 3.0 to investigate factors influencing the overuse of AI software in education tasks. The findings demonstrated that misuse of Artificial Intelligence software would lead to greater impact or challenges towards educators in university. The importance of this research will raise educator’s awareness by controlling the misuse of Artificial Intelligence usage, raising quality work academically and providing policy guidelines in ensuring more integrity in education.
The Adoption of Crop Residue as Cattle Feed: A Preliminary Study in Kedah, Malaysia.
Authors: Ikhwan Kamarudin Muhammad Aidil , Abdullah Farah Adila , Fatah Fazleen Abdul , Abu Bakar Tengku Halimatun Sa’adiah T. , Binti Ruslan Nur Aziera , Zaman Nur Badriyah Kamarul
Published: February 2025

Between 2019 and 2023, Malaysia’s livestock sector experienced a decline in production, particularly in beef cattle. This downturn is closely linked to challenges in cattle feed availability. The primary feed resource, Napier grass, has faced reduced production due to the impacts of climate change. Additionally, previous studies highlight a decreasing number of beef cattle farmers in the northern region, driven by limited feed resources and the rising cost of bran. This preliminary study aimed to evaluate the willingness of 50 beef cattle farmers in Kedah to adopt crop residues as an alternative feed source. Results revealed a mean score above 3.0, indicating that farmers are generally open to incorporating crop residues into their feeding practices. However, while there is significant interest, many farmers face financial constraints that hinder adoption. The high cost of processing technology for crop residues remains a critical barrier, limiting its feasibility for cattle farmers in Kedah.
The 21st Century Teachers’ Qualities and Their Instructional Performance: Basis for Proposed Training Design
Authors: Bogasan Jr., MAED Jose P. , Poja, Ph.D Djoana
Published: February 2025

The present study explored the teachers’ 21st-century qualities for the improvement of their instructional performance. It is guided by Urie Brofenbrenner’s Ecological System Theory, Albert Bandura’s Self Efficacy Theory, George Siemans Connectivism Learning Theory and utilizes the conceptual paradigm that the researcher developed in analyzing data. And employs quantitative method to gather and analyze the data using survey questionnaire administer to one hundred sixty-three (163) respondents from Elementary Public School at East District Unit I of Division of Valenzuela City. The findings highlights that there is no significant difference between the perceptions of Teachers and Master Teachers regarding the teachers’ 21st-century qualities, and there is no significant difference between the perceptions of Teachers and Master Teachers regarding the teachers’ instructional performance. And strong and significant connections between 21st-century teacher qualities and instructional performance. And finally, this study proposed a training design on Enhancing 21st-Century Teacher Qualities for Improved Instructional Performance as an output. The training program aims to improve teachers’ instructional performance by focusing on integrating technology, fostering collaboration, and promoting leadership and creativity in the classroom. As this is an initial study, it is recommended that longitudinal studies to evaluate how the development of these qualities’ influences teacher performance over time and in diverse contexts. And pilot programs that assess the impact of teachers’ creativity, adaptability, leadership, and technology use on teachers’ instructional performance and based on the results, expand these initiatives. Strategies should be implemented to support professional development in these areas, particularly through targeted training programs that incorporate technology and innovative teaching methods to improve instructional performance. Regular workshops and ongoing professional development opportunities should be provided to help teachers keep pace with educational innovations.
Integrating Dale's Cone of Experience into Teaching Aids: Teachers' Reflections in Sri Lankan Schools
Authors: Vijayatheepan Mr.R.
Published: February 2025

This study examines the integration of Dale's Cone of Experience into teaching aids in Sri Lankan schools, with a focus on teachers' perceptions, practices, and challenges. Using a mixed-methods approach, data were collected from 100 teachers across primary, secondary, and advanced levels through structured questionnaires and thematic analysis of open-ended responses. Results revealed that 63% of teachers were somewhat familiar with Dale’s Cone, and 62% agreed on its relevance to teaching practices. Inferential findings showed a significant association between education levels and the frequency of designing teaching aids based on Dale’s Cone (F = 7.89, p = 0.001), and a positive correlation (r = 0.45, p = 0.03) between training adequacy and perceived opportunities for its integration. Teachers primarily utilized concrete levels, such as hands-on activities and visual aids, which were found to enhance student engagement and retention. However, abstract levels, like verbal symbols, posed challenges due to a lack of comprehensive understanding. Barriers included limited resources (67%) and inadequate training (68%), while opportunities emerged through innovative use of digital tools and locally available materials. These findings underscore the need for targeted teacher training, equitable resource allocation, and policy interventions to effectively implement experiential learning models in resource-constrained educational contexts.
Features of Google Classroom: Perceived Usefulness by Intermediate Teachers and Learners
Authors: Penrad Junalyn Canuto , Bayog Renevick C.
Published: February 2025

This study aimed to find the teachers' and learners' perceptions of using the features of Google Classroom. The researchers used a descriptive quantitative method and a survey questionnaire to explain the respondent's perception of using the features of Google Classroom. The respondents were eight teachers and 71 Grades 5 and 6 learners of the University of Baguio Laboratory Elementary School. The result indicated that teachers (M = 3.91, SD = .15) and learners (M = 3.36, SD = .48) perceived Google Classroom to be highly useful in the teaching and learning process, particularly in posting announcements, tasks, and materials by the teachers, as well as in reading, viewing materials, and submitting assignments for the learners. Teachers (M = 3.03, SD = 1.08) and learners (M = 2.87, SD = .61) agreed that serious problems being encountered in maximizing the use of Google Classroom, and there is no significant difference in their responses. Thus, it is recommended to have a program to conduct a regular seminar-workshop on using Google Classroom for the respondents, especially how to navigate the features of the Google Classroom properly and plausibly, maximizing other features addressing problems with microphone and camera during virtual classes.
Интеллектуальная система вопросов-ответов: интеграция баз знаний и языковых моделей для повышения эффективности обработки информации
Authors: Яхонтова И. М. , Нетребин Н. М. , Стрелецкий А. Д.
Published: February 2025

В статье рассматриваются современные подходы к созданию интеллектуальных систем вопросов-ответов (Q&A), ориентированных на повышение эффективности обработки информации за счет интеграции баз знаний и языковых моделей. Основное внимание уделяется методу Retrieval Augmented Generation (RAG), который объединяет извлечение данных из базы знаний с генерацией ответов с использованием мощных языковых моделей. Данный метод позволяет улучшить качество ответов, повышая их релевантность за счет обработки предварительно найденной информации. В статье анализируются и сравниваются различные методы векторизации текста, включая One-hot encoding, TF-IDF, Word2Vec и BERT, с целью их адаптации к системам Q&A. Отдельное внимание уделено отечественным языковым моделям, таким как YandexGPT и GigaChat, которые демонстрируют высокую точность и производительность в условиях отечественного рынка и в контексте тенденций импортозамещения. В рамках работы проведены эксперименты на основе конфигурации 1С:Бухгалтерия предприятия 8, в ходе которых оценивались точность, релевантность и производительность различных систем вопросов-ответов. Результаты экспериментов показали, что предложенные подходы способны значительно повысить качество обработки запросов и предоставления информации. Новизна работы заключается в интеграции современных языковых моделей с базами знаний для создания эффективных систем Q&A, что открывает новые возможности для автоматизации бизнес-процессов и улучшения взаимодействия с информационными системами.
Bridging AI and Ecology: CILNN and XAI for Acoustic Based Prediction of Dangerous Wild Animals
Authors: Govindaprabhu GB  , Sumathi M  , Neyvasagam Sharan , Kumar J Naveen Ananda
Published: February 2025

In habitats that are encroaching on humans, human-wildlife conflict is an increasing global challenge. There is a significant risk of human injury and retaliatory action being taken if humans encounter dangerous animals. This work presents a novel approach to automated detection and classification of dangerous animals using audio signals, with a focus on model interpretability. This work introduces the Convolutional Interconnected Layer Neural Network (CILNN), a deep learning architecture designed to effectively process and classify animal vocalizations. Our method leverages a comprehensive set of audio features, including Mel-frequency cepstral coefficients (MFCCs) and spectral characteristics, optimized through SHAP-based feature selection. The CILNN incorporates interconnected layers and attention mechanisms to enhance feature extraction and model performance. It evaluates proposed approach on a diverse dataset of vocalizations from five dangerous animal species: bears, bison, cheetahs, elephants, and wild boars. Experimental results demonstrate that the CILNN outperforms traditional machine learning models such as Random Forests and Decision Trees in classification accuracy and robustness. Crucially, it employs Explainable AI (XAI) techniques, including SHAP values and decision tree visualizations, to interpret the decision-making processes of both our CILNN (90.6% accuracy) and other models. This interpretability analysis provides insights into feature importance and model behavior, enhancing trust and understanding in the classification process. Our work contributes to wildlife monitoring and human-wildlife conflict mitigation by offering an efficient, accurate, and interpretable method for acoustic-based animal detection
Overcoming Challenges in Bulacan's Alternative Learning System
Authors: Paez T Avegail
Published: February 2025

The Alternative Learning System (ALS) in the province of Bulacan, Philippines, aims to enhance educational access for diverse groups, including out-of-school youth (OSY), adults, individuals with disabilities, and those in remote areas. This study investigates the critical challenges and barriers faced in implementing effective education within the ALS framework. Utilizing a qualitative research design with purposive sampling, the study involved interviews with 21 regular teachers and 14 learners who voluntarily participated. These discussions were recorded and transcribed to provide an in-depth understanding of the information collected through content analysis. The findings reveal several significant challenges affecting ALS program implementation, including limited face-to-face interaction, ineffective communication among teachers, difficulties in understanding educational modules, inadequate facilities and resources, and an overwhelming workload of written activities. Additionally, issues related to curriculum mismatch, resource constraints, teacher training needs, and student motivation were identified. To address these challenges effectively, it is essential to enhance instructional delivery by increasing face-to-face interactions between students and teachers and providing targeted training on ALS pedagogy for educators. Furthermore, developing effective learning materials, ensuring adequate facilities, creating a dedicated ALS curriculum, and establishing clear assessment policies will help minimize distractions, support student engagement, and improve overall learning outcomes. This research highlights the urgent need for policy interventions that can strengthen the ALS framework in Bulacan and ensure equitable educational opportunities for all learners.
Investigation of the Effect of Two Major eNOS Polymorphisms (4a/b and T786C) on Coronary Artery Disease in North Lebanon
Authors: Dib Azza , Hijazi Hanan , Hammoud Hana , Obeid Yasmeen
Published: February 2025

Endothelial nitric oxide synthase is a crucial gene associated with coronary artery disease, owing to the important functions of nitric oxide in vessel protection and vasodilation. Three “Single Nucleotide Polymorphisms” were found to be significantly associated with CAD: ‘the 4a/b polymorphism in intron 4’, ‘G894T (GLU298ASP) in exon 7’, and ‘the T786C replacement in the flanking region’. This study aimed to explore the relationship between the '4a/b polymorphism of the eNOS gene', the 'T786C polymorphism of the eNOS gene', and 'the combined effect of both 4a/b and T786C' with the risk of CAD in the Northern Lebanese region. A total of 91 CAD cases and 36 Control healthy individuals were gathered to investigate the allelic frequency and genotypic distribution of the 27VNTR gene polymorphism. 70 of 91 cases and 24 of 36 healthy participants were considered for the T786C polymorphism investigation. Peripheral blood samples were collected, and the 4a/b polymorphism genotypes were determined using “polymerase chain reaction”. Genotypes for the T786C polymorphism were determined using “polymerase chain reaction-restriction fragment length polymorphism”. A comparison was made between the two groups regarding the distributions of genotypes and allele frequencies. In our sample, the "a allele" of the 4a/b polymorphism was observed in 14.17% of individuals, while the "C allele" of the T786C polymorphism was found in 27.7%. The Control and CAD groups showed no significant differences in the distributions of genotype and allele frequencies for the T786C and 4a/b gene polymorphisms. No additive effect of both polymorphisms was noted. Therefore, eNOS polymorphisms, in our study, do not show a significant association with CAD.