bluuebunny/crossref_metadata_2025 huggingface dataset:
The Prevalence of Toxic Personality Traits in OUM Kelana Jaya
Authors: Che Rus Mohd Fakardian , Abd Hamid Nur Bakri , Zulkepli Muhammad Izzul Syahmi
Published: February 2025

Toxic personality traits, particularly narcissism and Machiavellianism, are characterized by detrimental behaviours that can negatively impact organizational climate and employee well-being. These traits are increasingly relevant in workplace studies due to their profound effects on performance, satisfaction, and organizational dynamics. This research aims to identify the factors contributing to the development of toxic personalities and assess the consequences of unmanaged toxic personalities on organizational climate, employee satisfaction, and performance, particularly at Open University Malaysia. Using a quantitative approach, the study gathered data through surveys measuring levels of narcissism, Machiavellianism, toxic personality traits, organizational climate, employee satisfaction, and job performance. Analytical methods included descriptive statistics, correlation analysis, and independent samples t-tests to identify significant relationships and variations among these variables. The findings reveal skewed distributions for narcissism, toxic personality traits, and contributing factors, with a weak positive correlation between narcissism and Machiavellianism. No significant gender differences in toxic traits were identified, and the age factor was not a significant predictor. These results underscore the subtle but present impact of toxic personalities within OUM, suggesting that, while not pervasive, toxic traits can disrupt organizational harmony if left unaddressed. This study highlights the importance of fostering a positive organizational culture by implementing targeted interventions, such as training programs, conflict resolution mechanisms, and clear human resources policies. Such measures can help mitigate the adverse effects of toxic personality traits, contributing to a healthier, more productive work environment at OUM. Further research is encouraged to deepen understanding of the factors shaping toxic personality traits and their long-term impact on institutional dynamics.
An Empirical Study on Consumer Behavioral Intentions towards Alipay in China
Authors: Yan Suli , Xue Mingjie , Mohammed Rozita @ Uji Binti
Published: February 2025

In recent years, mobile payments have revolutionized the way transactions are conducted in China through innovative methods. The main purpose of this study is to investigate the effects of consumers' perceived usefulness, perceived ease of use, perceived trust, perceived compatibility and consumers' attitude on consumers' behavioural intention towards Alipay, by using an extended version of the technology acceptance model (TAM). The method used in this study was quantitative, and the data was collected from 384 users in China. In sample selection, the non-probability sampling method is adopted. The analysis was conducted using Structural Equation Modelling and Smart PLS tools. The results show that consumers' usage attitude significantly affects their behavioural intention. Perceived usefulness, perceived trust and perceived compatibility all significantly affect consumers' usage attitudes and behavioural intentions. Perceived ease of use may influence attitudes toward usage but does not significantly impact usage intention.
The Impact of AI-Generated Art on the Creative Process of Painting Artists: A Conceptual Paper
Authors: Wang Xiaoxiao , Wardi Rainal Hidayat Bin , Ghazali Rusmawati Binti
Published: February 2025

This conceptual paper explores how AI-generated art tools impact the creative processes of painters in Beijing, Shanghai, and Shenzhen, China. By constructing a conceptual framework, the study analyzes the effects of AI tool dependency and technology acceptance on creative inspiration, efficiency, innovation, and satisfaction, with self-efficacy considered a moderating factor. Based on existing literature, it can be inferred that current research lacks empirical studies on different types of painters who use AI-generated art, including in China. This study provides a new perspective for understanding the potential role of AI in artistic creation, offering a theoretical foundation and guidance for future research. The findings of this conceptual paper contribute to understanding the influence of AI on artists' creative processes and promote the integration of artistic creation with modern technology.
Revisiting Teacher Commitment: A Bibliometric Analysis Based on CNKI and Scopus Databases
Authors: Shao Yang , Sharif Sabariah Binti , Cassy Ompok Connie Shin @ Connie
Published: February 2025

The development of teacher commitment is crucial for improving educational quality and teacher retention. This study aimed to understand the current research on teacher commitment and predict future trends by analyzing literature from the CNKI and Scopus databases. A total of 302 and 647 relevant articles were selected. High-frequency keyword and co-word analysis revealed that "organizational commitment" and "teacher commitment" were the most common keywords in both databases. Other prominent themes included job satisfaction and leadership in Scopus, and career commitment and teacher turnover in CNKI. The findings highlight the importance of workplace factors and regional differences in teacher commitment research, providing insights for future studies.
Comparative Study of TCM Terminology Standards under Adaptive Selection Translation Theory
Authors: Feng Hongli , Hoe Foo Terng , Leow Min Hu , Goh Chin Shuang
Published: February 2025

Traditional Chinese Medicine (TCM), as a life science rooted in unique philosophical principles, offers significant intellectual property advantages and substantial economic potential, positioning it as a growing area of global interest. As key instruments in representing its economic value, the international standards for TCM terminology have garnered widespread attention from the global community. International organizations, experts, scholars, and governmental bodies have engaged in this process, yielding valuable outcomes. In 2007, the World Health Organization released the "International Standard Terminology for Traditional Medicine" (IST), while the World Federation of Chinese Medicine Societies simultaneously published the "Chinese-English Bilingual Standard for Basic TCM Terminology" (ISN). However, discrepancies in the translation of specific terms within these two standards have undermined the scientific accuracy of TCM and sparked new debates. As such, it has become imperative to unify TCM terminology standards to present a cohesive, authoritative voice for TCM on the global stage. Based on a classification of TCM terminology, this article employs a cyclic equidistant sampling method to extract 500 entries (excluding categories such as herbal medicine, prescriptions, and acupuncture) from the ISN. It then compares and analyzes these terms against their counterparts in the IST. Drawing on the Theory of Adaptive Selection in Translation, the paper investigates the various translations of key TCM concepts, including fundamental theories and diagnostic methods, from linguistic, cultural, and communicative perspectives. The study identifies optimal translation choices and proposes a comprehensive framework for TCM terminology translation, encapsulated by the principles of "One Shift," "Three Dimensions," and "Several Translation Methods." Given that TCM has its origins in China, China needs to take a leading role in the global efforts to establish international standards for traditional medicine, ensuring that the unique characteristics of TCM are fully reflected. By analyzing and comparing the two major international TCM terminology standards, this research aims to provide valuable insights that will guide future initiatives in the global standardization of TCM terminology.
Menggunakan Model Penilaian CIPP Untuk Mengukur Pencapaian Pelajar dalam Kemahiran Interaksi Pertuturan dalam Bahasa Melayu
Authors: Satariman Pairah , Janan Dahlia
Published: February 2025

Kajian ini bertujuan untuk mengukur pencapaian pelajar dalam kemahiran interaksi pertuturan dalam Bahasa Melayu (BM) yang telah dilaksanakan sejak tahun 2011. Kedua-dua kaedah, iaitu kaedah kuantitatif dan kaedah kualitatif digunakan untuk mengumpulkan data. Model Penilaian CIPP oleh Stufflebeam (2003) dipilih untuk menilai program ini. Model penilaian ini mengandungi empat komponen, iaitu penilaian konteks, penilaian input, penilaian proses dan penilaian produk. Kajian ini hanya menggunakan penilaian produk untuk mengukur pencapaian pelajar. Seramai tiga orang guru terlibat dalam temu bual, sementara 15 orang pelajar dipilih untuk ujian pertuturan dan lima orang pelajar untuk temu bual. Dapatan menunjukkan bahawa secara keseluruhannya, para pelajar boleh bertutur secara interaktif (dua hala) tetapi mengalami banyak kesukaran untuk bertutur secara lancar, spontan dan yakin. Para guru dan pelajar yang menjadi responden memberikan maklum balas tentang beberapa keprihatinan yang berkaitan dengan pelaksanaan kemahiran interaksi pertuturan ini seperti buku, teks, buku aktiviti, bahan-bahan bukan bercetak yang digunakan dalam pengajaran dan pembelajaran dan masa kurikulum yang tidak mencukupi, latihan guru dan aktiviti sokongan. Dapatan kajian ini memberikan implikasi kepada semakan kurikulum pada masa akan datang, pembina kurikulum, pembina bahan pengajaran, guru-guru Bahasa Melayu dan juga kepada organisasi yang menjalankan latihan bagi para guru yang sedang berkhidmat di sekolah dan juga bakal guru yang akan menyertai bidang perguruan.
Challenges with Halal Traceability for BB Glow Treatment: A Review Analysis
Authors: Shapiee Nurul Nafisha , Zarmani Nurfarhani , Tumiran Mohd Amzari
Published: February 2025

BB Glow treatment is a fusion of skin and semi-permanent makeup, which has recently emerged as a signature aesthetic procedure in the beauty community. However, halal traceability for BB Glow treatment is complex and challenging due to the many ingredients used and the halal certification that must be fulfilled. This study aimed to review the challenges of halal traceability in BB Glow treatment. The study utilised a review analysis methodology to synthesise resources regarding halal traceability challenges, especially the BB Glow treatment products. The review analysis revealed several challenges with halal traceability for BB Glow treatment, including: (a) ingredient ambiguity in BB Glow products; (b) absence of halal-certified BB Glow brands; (c) cross-contamination during manufacturing; and (d) limited awareness among practitioners and consumers. In conclusion, this study indicates that the halal traceability challenges faced by BB Glow treatments stem from various factors. Future studies should provide a framework for halal traceability in BB Glow treatment as a cosmetic service.
Pendekatan Aktiviti Main Peranan Meningkatkan Kemahiran Regulasi Emosi Kanak-Kanak Prasekolah
Authors: Mahzan @ Mohd Zin Sufiahana , Mydin Kutty Faridah
Published: February 2025

Kemahiran regulasi emosi mempunyai peranan yang penting dalam perkembangan kanak-kanak kerana memberi pengaruh kepada tangka laku kanak-kanak. Kajian ini bertujuan untuk mengkaji pengaruh pendekatan aktiviti main peranan dalam meningkatkan kemahiran regulasi emosi kanak-kanak Prasekolah. Dengan menggunakan pendekatan kualitatif dengan reka bentuk kajian tindakan, kajian yang melibatkan lima orang kanak-kanak Prasekolah berumur enam tahun di sebuah prasekolah daerah Melaka Tengah. Peserta kajian ini dipilih dengan kaedah persampelan bertujuan di mana kanak-kanak yang mengalami kesukaran untuk meregulasi emosi melalui pemerhatian aktiviti di dalam kelas. Instrumen yang digunakan dalam kajian ini merupakan senarai semak pemerhatian yang diadaptasi daripada Social Interaction Checklist for PreK, temu bual berstruktur dan analisis hasil kerja murid. Dapatan kajian menunjukkan bahawa terdapat peningkatan positif kemahiran regulasi emosi kanak-kanak selepas menjalankan aktiviti main peranan. Kajian ini selari dengan kajian terdahulu yang menunjukkan terdapat perubahan sosioemosi yang signifikan sebaik sahaja selepas aktiviti main peranan dijalankan. Implikasi kajian ini boleh digunakan guru-guru untuk merancang pengajaran yang lebih membantu kanak-kanak meregulasi emosi mereka sekaligus mengelakkan masalah tingkah laku serta menggalakkan penglibatan aktif kanak-kanak di dalam kelas dengan aktiviti yang menyeronokkan dan bermakna. Kajian lanjut di masa hadapan disarankan untuk mengkaji aktiviti-aktiviti permainan lain yang mungkin mempengaruhi kemahiran regulasi emosi kanak-kanak.
Is a careers consultant for researchers a ‘third space’ professional in higher education?
Authors: Murray Kate
Published: February 2025

In the limited research about the roles of careers professionals in higher education, very little has been written about careers consultants who specifically support academic researchers such as postgraduate research students and early career researchers, including postdoctoral research associates. This article sets out to create a better understanding of the role of careers consultants for researchers, drawing on the debate on ‘third space professionals’ to shed light on this complex and perhaps surprisingly challenging job in higher education institutions. After outlining a standard careers consultant’s work with reference to some of the available literature, the article uses a personal case study to highlight the realities of working across institutional boundaries. The author uses Daubney’s (2020) KASE framework drawn explicitly from careers work, work from Whitchurch (2013) from the third space literature, and a description from UKRI, the UK national funder, to describe and discuss their specific role (UKRI, cited Imperial, 2025). The article argues that, by performing many of the activities associated with an academic, the role-holder could be seen as an academic, but the author concludes that the notion of ‘third space professional’ fits well with the work of CCRs.
Contextual assessment design in the age of generative AI
Authors: Gonsalves Chahna
Published: February 2025

Generative AI (GenAI) is transforming higher education. It has already challenged the validity of traditional assessment methods and revealed concerns about the authenticity and reliability of conventional approaches. This opinion piece proposes an expanded theoretical framework for contextual learning, incorporating practical, situational, experiential, interdisciplinary, and ethical dimensions to address the limitations of authentic assessment in the face of GenAI’s rapid advancements. Whilst the framework is primarily theoretical and not yet empirically validated, it offers a new way of thinking about assessment design, providing educators with a vocabulary and conceptual tools to create more resilient and effective assessments. Learning Developers, who often lead initiatives, engage in collaborative efforts, and support both educators and students, are particularly well-positioned to implement and advocate for these strategies. By integrating diverse contexts into assessment design, this framework aims to promote higher-order thinking and real-world applications, making assessments more adaptable to the complexities of modern professional environments. Future research should explore the empirical validation of this framework across disciplines to ensure its broader applicability and impact on student engagement, learning outcomes, and academic integrity.
A design-based approach to bridging the gap between university learning and classroom pedagogy in Initial Teacher Education
Authors: Sohdi Reece
Published: February 2025

This article explores the design, implementation, and evaluation of the Passports tool, developed to address the persistent challenge of bridging theoretical knowledge with practical application in Initial Teacher Education (ITE). Grounded in Design-Based Research (DBR), the Passports were iteratively created to integrate academic and professional literacies through two key components: ‘Learn That’ knowledge organisers and ‘Learn How To’ infographics. These elements provide trainees with structured support for consolidating theoretical concepts and applying them in diverse, real-world teaching contexts. Drawing on frameworks such as cognitive load theory, situated learning, and reflective practice, the Passports aim to foster adaptive expertise and reflective skills, supporting trainees as they navigate the complexities of professional placements.
Findings highlight the effectiveness of the Passports in enhancing learning and mentorship within ITE, with broader implications for other professional fields, including nursing and social work, where similar transitions from theory to practice are critical. This research contributes to the discourse on evidence-based educational tools and professional development, offering actionable insights for integrating academic and practical learning across higher education and professional training programmes.
Artificial Intelligence Enabled Framework for Quality Education: A Mechanism to Leverage SDG Applications
Authors:   University of East London, Hammad Rawad
Published: February 2025

PURPOSE: The continuously evolving Artificial Intelligence (AI) oriented artefacts are transforming every facet of daily life, including the education sector. Recognising education’s critical role in enhancing citizens’ quality of life, it becomes essential to explore how AI can revolutionise education, including learning and teaching processes, educational settings, learning outcomes, among other components. However, the complexity and scale of AI developments pose significant challenges to its effective implementation in educational contexts.

METHOD: Integrating AI in education has substantial implications on learning and teaching. On the one hand, AI might increase the accessibility to personalised and satisfactory learning experiences. On the other hand, challenges such as bias, privacy and digital divide, exacerbate the difficulties associated with deploying AI effectively in educational settings. A detailed qualitative analysis of principal AI frameworks, models and theoretical foundations has been undertaken to identify and assess factors influencing these challenges.

FINDINGS: This study presents an holistic examination of AI in education, focusing on theoretical frameworks, models and practical implications. It derives a conceptual framework aimed at promoting high-quality education, thereby supporting the achievement of Sustainable Development Goal (SDG) 4, which emphasises Quality Education.

ORIGINALITY: This conceptual framework uniquely addresses the gap between the efficient use of AI in education and the attainment of SDG 4. Furthermore, it lays the groundwork for combining research efforts to address the ever-expanding research gap concerning effective employment of AI in education and broader life contexts. The study also suggests several directions for developing contextualised strategies for the implementation of AI in education.

RESEARCH LIMITATIONS: This study aims at gaining meaningful insights from the application of AI in education; however, it cannot accommodate every single educational or learning approach. Therefore, testing this framework with real world contextualised scenarios remains essential to avoid abstract outcomes.

KEYWORDS: Artificial Intelligence; Education; Quality Education; Sustainable Development Goals; Technology Enhanced Learning; SDG 4.

CITATION: Hammad, R. (2024): Artificial Intelligence Enabled Framework for Quality Education: A Mechanism to Leverage SDG Applications. In Ahmed, A. (Ed.): World Sustainable Development Outlook 2024, Vol. 20, pp.145–158. WASD: London, United Kingdom.
ANALISIS PENGGUNAAN MOBILE JKN DALAM PELAYANAN PENDAFTARAN ONLINE DI INSTALASI RAWAT JALAN RSUD BRIGJEND H. HASAN BASRY KANDANGAN
Authors: Hayyana Nawwara , Rahman Fauzie , Laily Nur , Putri Andini Octaviana , Anhar Vina Yulia
Published: February 2025

Kesehatan merupakan salah satu indikator utama keberhasilan pembangunan nasional. Sesuai UU Nomor 17 Tahun 2023, setiap warga negara berhak mendapatkan layanan kesehatan yang aman, bermutu, dan terjangkau. Pemerintah Indonesia mendukung hal tersebut melalui program Jaminan Kesehatan Nasional (JKN) yang dikelola oleh Badan Penyelenggara Jaminan Sosial Kesehatan. Untuk meningkatkan Cakupan Kesehatan Universal (UHC), BPJS Kesehatan meluncurkan aplikasi Mobile JKN pada tahun 2017, yang memfasilitasi pendaftaran online, akses informasi, dan pemrosesan klaim yang efisien. Penelitian ini menganalisis faktor-faktor yang berhubungan dengan perilaku penggunaan Mobile JKN untuk pendaftaran online di instalasi rawat jalan RSUD Brigjend H. Hasan Basry Kandangan. Penelitian ini merupakan studi analitik observasional dengan desain cross-sectional, diperoleh 107 responden melalui pengambilan sampel melalui accidental sampling. Hasilnya menunjukkan hubungan yang signifikan antara ekspektasi kinerja (p=0.001), ekspektasi usaha (p=0.001), dan kondisi-kondisi yang memfasilitasi (p=0.001) dengan perilaku penggunaan. Namun pengaruh sosial tidak berhubungan signifikan (p=0,259). Penelitian ini menemukan bahwa pentingnya kinerja, kemudahan penggunaan, dan dukungan fasilitas dalam mendorong penggunaan Mobile JKN.
Addressing Low Digital Literacy Among Rural Farmers Through the AGRIKIT
Authors: Naseri Roszi Naszariah Nasni , Idris Nur Hafidzah
Published: February 2025

The AGRIKIT initiative addresses the persistent challenge of low digital literacy among rural farmers in Malaysia, focusing on bridging the digital divide to foster economic inclusion and sustainable agricultural practices. Digital transformation in agriculture offers smallholder farmers opportunities to enhance productivity, optimize resource utilization, and access new markets. However, barriers such as poor digital literacy, limited infrastructure, and cultural resistance hinder technology adoption. AGRIKIT, a user-friendly physical training manual tailored for rural communities, provides comprehensive guidance to enable farmers to utilize digital platforms like AgroBazaar Online effectively. By incorporating localized content and visual aids, AGRIKIT specifically targets older farmers and underserved populations, enhancing their digital engagement. This study evaluates the AGRIKIT’s design, impact, and potential to transform rural agriculture, emphasizing its role in overcoming traditional barriers and promoting inclusivity. The findings highlight the need for infrastructure improvements, diverse demographic inclusion, and complementary digital tools to maximize the benefits of this innovative solution. AGRIKIT serves as a replicable model to support global efforts toward sustainable development in agriculture.
From Shareholder Value to Stakeholder Impact: Integrating ESG Considerations into Financial Decisions
Authors: Oyetade John Akinbiyi , Igbalawole Olomiyete , Johnson-Rokosu Samuel
Published: February 2025

This study examines the integration of environmental, social and governance (ESG) factors into financial decision-making and examines the shift from a shareholder value focus to a broader stakeholder impact perspective. Using a comparative case study analysis of three multinational companies – Ørsted (energy), Unilever (consumer goods) and Microsoft (technology) – this study examines how companies identify and manage ESG risks, exploit ESG-related opportunities and interact with various stakeholders to integrate ESG -Information in your reporting. The results show a continued trend towards stakeholder capitalism, with companies recognizing the importance of considering ESG factors for long-term value creation. While specific ESG priorities and engagement strategies vary by industry, all cases demonstrate proactive risk assessment, pursuit of shared value opportunities and increasing transparency in reporting. This research contributes to the literature on stakeholder theory and value creation by providing empirical evidence on how leading companies integrate ESG considerations into their core business strategies. It provides valuable insights for practitioners seeking to improve their ESG performance and for policymakers seeking to promote sustainable business practices.
Effect of Tertiary Students’ Population on Rental Values of Residential Facilities in the Hohoe Municipality of the Volta Region of Ghana
Authors: Kolamong Clement Kantam , Olator Jnr Andrews , Addai Sylvia Adzoa , Asare Seth
Published: February 2025

The availability and quality of accommodation can influence the rental prices of residential properties, particularly in areas with a high concentration of tertiary students. Grounded in the Ricardo’s Theory of Rent and the Modern Theory on Rent, this study examined the effect of tertiary student population on rental values of residential facilities in the Hohoe municipality. Specifically, the study identified the rental values of residential facilities in the Hohoe municipality, examined the effect of tertiary students’ population on rental values in the Hohoe municipality, and identified factors contributing to rental values in the Hohoe municipality. The study adopted a mixed methods research approach and data was collected from residents, landlords, and officials of key tertiary institutions in the Hohoe municipality. The findings showed that the enrolment of students in various tertiary institutions has affected rental prices negatively causing rental prices to increase in the Hohoe Municipality owing to the non-availability of on-campus housing facilities in most of the institutions. Most landlords charged between 250-300 Ghana cedis per month and the least was between 150-200 Ghana cedis per month. The findings revealed that the demand for housing, location of the property, proximity, rental price, safety and security, and the amenities available were among the factors contributing to the rental values of residential facilities in the Hohoe Municipality. The study concludes that the increasing population of tertiary students in Hohoe Municipality has driven up rental prices due to limited on-campus housing.
Attitude and Culture of Farmers to Agroforestry Practices as an Adaptive Practice to Climate Variability in Southeast Nigeria
Authors: Ashiegbua Gloria , Man Norsida , Sharifuddinb Juwaidah , Buda Mark , Adesoped Olufemi
Published: February 2025

Spreading knowledge and creating a welcoming social atmosphere are essential components of developing an agroforestry culture that encourages farmers to try new techniques. Cultural views occasionally make it difficult to embrace agroforestry practices. This study explores the attitudes and cultural perspectives of farmers towards agroforestry practices as an adaptive strategy for climate variability. Primary data was collected from 350 registered farmers. Descriptive statistics such as mean scores and inferential statistics such as Pearson product-moment correlation were employed for data analysis. The attitude of farmers in Southeast Nigeria towards agroforestry practices to adapt to climate variability with the highest mean score was that farmers are confident with the help and support received from agriculture extension will be beneficial to their agroforestry practices (M = 4.04).The cultural factor that affects farmers in Southeast Nigeria towards agroforestry practices to adapt to climate variability was that government programmes and initiatives will assist in fostering the use of technology in agroforestry techniques and coping with climate variability while respecting regional cultural values (M = 4.07). The correlation analysis reveals a significant relationship between farmers’ attitudes and their agroforestry practices. The study recommends nurturing and strengthening these attitudes, such as their ability to withstand climate fluctuations.
Organizational Theory Review in Malaysian Healthcare Perspective
Authors: Govindaraju Vimala
Published: February 2025

Malaysia’s healthcare system is essential to provide the nation’s people with high-quality medical care. The industry necessitates efficient and effective public service delivery for all citizens to access and afford quality healthcare. Healthcare employees, particularly medical staff, play a crucial role in providing these services, and their performance can directly impact the organization’s objectives and patient safety. In order to provide a thorough knowledge of how organizational theories including institutional theory, contingency theory, and cultural perspectives have been modified and applied in Malaysia, the study synthesizes important findings from a variety of research papers, books, and case studies. The importance of Islamic ideas on corporate ethics and leadership styles is also highlighted, as is the influence of Malaysia’s multiethnic composition on organizational practices. Policies and economic strategies also play a significant role in defining organizational structures. The evaluation also looks at opportunities and problems that Malaysian companies have in the international market, including problems with sustainability, human resource management, and innovation. The results offer significant perspectives for scholars, professionals, and decision-makers who aim to improve organizational efficiency and competitiveness in Malaysia.
Determinants of Academic Performance among BSc Nursing Students: A Mixed Method Research
Authors: Asha Raj S  , Bincy AP  , Lakshmi G  , Chacko Chanlin , Gigi Alina Mannanal , Gigi Jimymol M , Josey Irin Rose
Published: February 2025

Academic performance is a crucial component in success of nursing students. Academically sound nurses are in position to provide quality care to patients and communities. A range of factors including time management skills, self-confidence, and demographic characteristics are shown to contribute to the academic performance of nursing students; they also shed light on the complex interplay of personal, academic, and environmental factors. This study, adopting a mixed method approach, and conducted in Amala College of Nursing, Thrissur (Kerala) sought to identify, and explore the determinants of academic performance among BSc nursing students. The data was collected through google form, analysed and interpreted according to the objectives of the study using SPSS version 23. It is concluded that collegerelated factors have significant impact of on the academic performance of BSc nursing students. By fostering a supportive learning environment, colleges can play a vital role in shaping the future of nursing professionals and ultimately, the quality of healthcare.
Isolation of Biflavonoids from Indonesian Araucaria Cunninghamii Mudie Leaves and Their Activity Against MCF7 Cells and 20S Proteasome
Authors: Irfana Luthfan , Agusta Dhea Demetri , Arifin Budi , Tri Wahyudi Setyanto , Setiati Achmadi Suminar , Sugita Purwantiningsih
Published: February 2025

To enhance our survey of Araucaria biflavonoid’s biological activity, Araucaria cunninghamii Mudie dried leaf samples from West Java, Indonesia were extracted using acetone, then purified by Sephadex column and silica gel radial chromatography to give 3 known pure compounds: 7,4′,7″,4‴-tetra-O-methyl cupressuflavone, 7,4′,4‴-tri-O-methylrobustaflavone, and 7,7″-di-O-methylamentoflavone. This is the first report of 7,4′,4‴-tri-O-methylrobustaflavone and 7,7″-di-O-methylamentoflavone isolation from A. cunninghamii Mudie species. Among the isolated compounds, 7,7″-di-O-methylamentoflavone showed the best activity towards the MCF7 cancer cell line (IC50 = 150 μM). The ELISA assay exhibited a 32 % decrease in the detected 20S proteasome concentration level in the MCF7 lysate samples treated with 25 ppm 7,7″-di-O-methylamentoflavone.
HIGHLIGHTS

This is the first research on the phytochemical composition of Araucaria cunninghamii Mudie leaves from Taman Bunga Nusantara, West Java, Indonesia.
This is the first report of 7,4′,4‴-tri-O-methylrobustaflavone and 7,7″-di-O-methylamentoflavone isolation from Araucaria cunninghamii Mudie species.
The isolated biflavonoids show moderate to weak cytotoxic activity towards MCF7 cells.
Biflavonoids-treated MCF7 cell lysates show lower proteasome levels based on ELISA assay.

GRAPHICAL ABSTRACT
Enhanced Fluoride Removal from Groundwater Using Napier Grass-Derived Adsorbent: Experimental and DFT Study
Authors: Somkiattiyot Patcharaporn , Wongrueng Aunnop , Induvesa Phacharapol , Yodsin Nuttapon , Phuphisith Sarunnoud , Sittisom Prattakorn , Rakruam Pharkphum , Srisom Wiratchon , Gavila Patcharaporn , Chamnanprai Supoj , Takizawa Satoshi
Published: February 2025

Lab-scale experiments and Density Functional Theory (DFT) studies were carried out to investigate the efficiency of Napier grass-derived adsorbent (CNP_600) and alkaline modification (CNP_0.2NaOH_600) as low-cost adsorption materials for fluoride removal. CNP that had been treated with an alkaline solution cloud contained more fluoride than the CNP that had been used initially. The NaOH modification of prepared materials promoted a change in surface characteristics that could enhance fluoride removal efficiency. Those adsorbents fitted well with the pseudo-2nd-order kinetic model and declared that the adsorption process was chemisorption. The isotherm study exhibited the best fit with the Langmuir model, resulting in mono-layer adsorption. The experimental adsorption behavior of fluoride ions (F–) onto CNPs was investigated. The proposed adsorption process involved electrostatic attraction and hydrogen bonding, which were found to be consistent with the results of a Density Functional Theory (DFT) study. The results indicated that the -OH and -COOH groups on the CNPs displayed electron acceptors from the F– ions. Additionally, the fluoride removal of actual groundwater from the prepared adsorbents was 17 %. The small percentage of adsorption efficiency in groundwater was because of pH and co-exiting ions. Finally, the use of biomass waste as a biochar adsorbent to control the fluoride excess in groundwater in the problematic area could promote the sustainability of water safety for the community, especially in the northern part of Thailand.
HIGHLIGHTS

The adsorption process removes fluoride using Napier grass biochar (CNP_600) and NaOH functionalization (CNP_0.2NaOH_600).
Based on the function groups of the materials, we can use the DFT study results to confirm the behavior of F–ions in the biomass samples.
The experimental study's adsorption mechanism followed a similar pattern to the DFT studies. This confirms that CNPs help F–ions form strong H-bonds.
The O-H bond lengthened from 0.97 Å to 1.40 Å, confirming the strong interaction between CNP and fluoride ions.

GRAPHICAL ABSTRACT
Polycarboxylic Acid-Based Deep Eutectic Solvents for Critical Metal Recovery from Lithium-Ion Batteries: Kinetic and Efficiency Analysis
Authors: Muryanta Widya Aryani , Manaf Azwar , Bahfie Fathan , Handoko Anton Sapto , Prasetyo Erik
Published: February 2025

To meet the high demand for lithium-ion batteries (LIBs) and their corresponding challenges, effective and sustainable recycling methods are necessary. This research explores the use of deep eutectic solvents (DES) based on polycarboxylic acid to recover critical metals, such as lithium (Li), cobalt (Co), nickel (Ni), and manganese (Mn) from spent LIBs. The leaching efficiency of 3 DES was evaluated under various conditions by synthesizing them with succinic acid, malonic acid, and maleic acid using choline chloride. Optimal recovery was achieved with ChCl: Maleic acid, yielding 99.18 wt. % Li, 65.36 wt. % Co, 94.97 wt. % Ni, and 67.88 wt. % Mn at a S/L ratio of 20 g/L at 80 °C with constant stirring. Higher S/L ratios led to reduced recovery rates due to mass transfer limitations and solution saturation. Kinetic modeling revealed that the Jander model best described the leaching mechanism, suggesting a diffusion-controlled process. The activation energy calculation on DES ChCl: Maleic acid produces Li 38.57 kJ/mol, Co 63.09 kJ/mol, Ni 64.87 kJ/mol, and Mn 52.64 kJ/mol. The use of DES derived from eco-friendly polycarboxylic acids (succinic, malonic, and maleic acids) in this study represents an innovative way to recover critical metals from spent lithium-ion batteries (LIBs) in a sustainable and effective manner. Future studies are advised to examine the DES composition and investigate how agitation influences the recovery of specific metals.
HIGHLIGHTS

Lithium-ion battery leaching using deep eutectic solvent as leaching agent
The results obtained from the leaching of lithium-ion batteries were the recovery of 99.18 % Li, 65.36 % Co, 67.88 % Mn, and 94.97 % Ni with the optimum leaching condition used was a solid/liquid ratio of 20gr/L with a temperature of 80 °C for 2 h.
The kinetic mechanism of the leaching process follows Jander kinetics.

GRAPHICAL ABSTRACT
Antimicrobial Potential of Polyherbal Formulation against Common Pathogens of Cow Mastitis
Authors: Sakthikarthikeyan Sengamani , Manikandan Rajendran , Madhupriya Senthilkumar , Harigopal Sreedharan
Published: February 2025

Mastitis is a global problem, which affects the health of animal, milk quality and economics of milk production. Multidrug-resistant Staphylococcus aureus, Klebsiella pneumoniae, and Escherichia coli are found to be increased in mastitis cases. There is a growing need for finding alternatives to antibiotics in the prevention and treatment of mastitis infections. Polyherbal formulations (PHF) are safe with wide therapeutic range and effective at low dose compared to single herbal formulation. Equal concentration of ethanolic extract of Aerva lanata, Phyllanthus emblica, Cyperus rotundus and Boerhavia diffusa formulation was used to assess the in vitro antibacterial activity against mastitis milk isolates Staphylococcus aureus, Klebsiella pneumoniae and Escherichia coli by well diffusion, agar diffusion and MIC by resazurin dye method. Zone of inhibition was greater in polyherbal formulation than herbal standard quercetin due to synergistic effects of multiple numbers of bioactive constituents. Polyherbal formulation had one fold low MIC value than gentamicin and one fold high MIC value than quercetin against E. coli, S. aureus, K. pneumoniae. Antimicrobial activity of the polyherbal formulation could be due to quercetin, a plant flavonoid quantified by using High Performance Thin Layer Chromatography (HPTLC).
Effect of Different Wrap Films on Physico-Chemical Properties of Tray Packaged Boneless Chicken Chunks Stored at -18±2 °C
Authors: Kumar Banerjee Dipak , Prince Devadason Immanuel , Ahmad Tanbir , Talukder Suman , Ratan Sen Arup
Published: February 2025

The need for the proper and convenient packaging methods of meat like tray packaging is surging in India. This study was designed to evaluate influence of low-density polyethylene (LDPE), linear low-density polyethylene (LLDPE), high density polyethylene (HDPE) and polyvinylchloride (PVC) wrap films on various physico-chemical properties (pH, instrumental colour, water activity, TBARS, tyrosine value and extract release volume) of boneless chicken at frozen (-18±2 °C) conditions. About 200 g of deboned chicken was aerobically packed separately in food grade polypropylene trays, heat sealed and studied at 1 month interval for 3 months. In frozen storage deboned chicken had good qualities in the case of all the treatment films for a period of 3 months. Tray packaged chicken sealed with HDPE film had better qualities and chicken sealed with PVC film had better colour (L, a,b) characteristics than that of other films. Thus, it can be concluded that tray packaging of meat sealed with HDPE film can be successfully used under frozen conditions for maintenance of better quality.
Assessing the Prevalence of Hard Ticks in Dairy Cattle Across Diverse Agro-Climatic Zones of Western Maharashtra
Authors: Harihar Belsare Bhagyashree , Dhanaji Pawar Prashant , Madhavrao Chigure Gajanan , Patilba Mhase Prashant , Ranjeet Mhaisekar Nirja , Shrirang Dhaygude Vitthal
Published: February 2025

This study investigated the prevalence of hard ticks infesting dairy cattle across four distinct agro-climatic zones in Western Maharashtra, India, shedding light on critical challenges in livestock management. From June to February, a thorough screening of 375 dairy cattle was conducted, with a meticulous collection of ticks from various regions of the body as well as from the surrounding environment. The findings revealed that out of 375, 200 animals were infested, indicating an alarming overall prevalence of 53.30%. Notably, calves under one year showed even greater susceptibility, with infestation rates soaring to 70.00%. Among different demographics, female cattle experienced higher infestation levels (54.60%; 160/293) compared to males (48.80%; 40/82). The prevalence in crossbred animals was 59.70% (12/206), non-descript breeds 45.70% (42/92), and in native breeds 45.50% (35/77). Cattle in poor body condition were disproportionately affected, exhibiting a striking 76.40% (81/106) infestation rate, in contrast to those in medium or good condition. Ticks favoured specific sites on the host, with the neck region (38.50%) and ears (15.50%) identified as the most common areas of infestation. This research underscores the urgent need for targeted control strategies to mitigate tick infestations in dairy cattle, particularly among vulnerable populations.
Surgical Management of Incarcerated Bubonoenterocele in a Spitz Dog - A Success Report
Authors: Sumiran N. , Sudarshan L. Siva , Anjali K. , Jeevanraj G. David
Published: February 2025

An inguinal hernia, also called as bubonocele is a protrusion
of an organ or part of an organ, fat or tissue through the inguinal ring, i.e. the region in the groin where the abdominal musculature meets the hind legs (Byers et al., 2007). Inguinal hernia may be classified as direct or indirect inguinal hernia, congenital or acquired inguinal hernia, unilateral or bilateral inguinal hernia and traumatic or non-traumatic inguinal hernia. Contents of the inguinal hernia include omentum, fat, ovary, uterus, small intestine, colon, bladder or spleen (Kumar et al., 2020). Clinical signs often reflect the size of the hernia and the hernial contents and range from painless inguinal mass to signs related to incarcerated or nonviable small intestine (Waters et al., 1993). The present report describes the successful surgical management of unilateral incarcerated inguinal enterocele in a dog.
Successful Management of Traumatic-Reticulo-Pericarditis in a Holstein Friesian Cow
Authors: Venkatesh Atmakur , Mohanambal Kaliyannan , Sumathi Devaraju , Ravi Ramasamy , Rakkiraja Arasu , Elavarasan Manivel , Karuppusamy Ponnu Swamy Kallipatti
Published: February 2025

Pericarditis refers to inflammation of the pericardium, often
accompanied by the accumulation of serous or fibrinous inflammatory substances. In cattle, it is almost exclusively caused by a foreign object from the reticulum penetrating the reticular wall, diaphragm, and pericardial sac. Key signs of pericarditis include tachycardia, muffled heart sounds, abnormal and asynchronous heart sounds, distended jugular veins, and edema in the submandibular region, brisket, and ventral abdomen Braun, 2009. Ultrasonography is the preferred method for diagnosing and characterizing pericardial effusion. Echogenic deposits and fibrin strands are visible on the epicardium, and the ventricles appear compressed by the effusion. Severe pleural effusion is typically observed as well. In cattle presenting with jugular vein distension and tachycardia, this diagnostic approach is particularly valuable (Mohanambal et al., 2018). In this present case, pericardiocentesis along with conservative treatment helped for the successful recovery of the animal.
Emerging Trends in Financial Fraud Detection: Machine Learning and Big Data Analytics in Risk Management
Authors: Naga Ramesh Palakurti
Published: February 2025

The rise of financial fraud has prompted financial institutions to explore advanced technologies like machine learning (ML) and big data analytics to improve fraud detection and risk management systems. This paper explores the integration of these technologies, highlighting how predictive analytics, AI-driven models, and data visualization can enhance fraud detection, credit risk assessment, and compliance monitoring. Through a thorough literature review and case studies, we show how the incorporation of behavioral insights into machine learning models significantly improves predictive accuracy, enabling financial institutions to manage risks more proactively. We also discuss the role of Business Rules Management Systems (BRMS) in automating decision-making processes and ensuring regulatory compliance. The findings suggest that while ML provides robust mechanisms for fraud detection, continuous advancements in model training and data integration are essential to cope with the dynamic nature of financial threats
Leveraging AI and Deep Learning for Risk Management in Agricultural Farms: Optimizing Maintenance with Data-Driven Insights
Authors: Naga Ramesh Palakurti
Published: February 2025

In the face of increasing agricultural challenges such as unpredictable weather, pests, and resource inefficiency, farmers are turning to technology for more reliable solutions. Artificial Intelligence (AI) and Deep Learning (DL) are at the forefront of optimizing risk management and maintenance in agricultural farms. This paper explores the application of AI and DL to analyze data from various sources to optimize resource allocation, predict equipment failure, and manage environmental risks. By leveraging data-driven insights, farmers can enhance operational efficiency, reduce costs, and improve crop yield. The potential benefits of integrating AI with farm management systems, the role of predictive maintenance, and the challenges associated with this transformation are discussed in detail
MÚSICALIZACIÓN EN PRODUCCIONES DE TELEVISIÓN Y CINE
Authors: Ovalle Danilo
Published: February 2025

En este artículo, exploramos la transformación de la musicalización en la industria audiovisual, centrándonos en las contribuciones de tres destacados autores: Mark Slobin, Michael D. Donelly y Emmanuel Legrand. Estos eruditos han dejado una huella significativa en el campo, abordando desde diferentes perspectivas cómo la música se integra en producciones televisivas y cinematográficas. Mark Slobin, un etnomusicólogo estadounidense, ha dedicado su investigación a la música judía de Europa del Este y al klezmer. Además, exploró la música de Afganistán, donde realizó investigaciones desde 1967. Su enfoque en la diversidad cultural y la adaptación musical en contextos audiovisuales ha enriquecido nuestra comprensión de la musicalización. Por otro lado, Michael D. Donelly ha examinado minuciosamente el uso de la música en la televisión de ciencia ficción. Sus investigaciones revelan cómo la música contribuye a la construcción de mundos ficticios y emociones en pantalla. Su enfoque en géneros específicos ha influido en la práctica de la musicalización en la industria. Finalmente, Emmanuel Legrand nos brinda una visión panorámica de la historia y las prácticas actuales en la industria audiovisual. Su trabajo abarca desde la música en películas hasta la colaboración creativa en entornos virtuales. Legrand ha explorado cómo la tecnología, como la realidad virtual, impacta la creación musical y la experiencia del espectador. En conjunto, las contribuciones de estos autores nos permiten comprender mejor cómo los avances tecnológicos han revolucionado la musicalización en producciones televisivas y cinematográficas, ofreciendo nuevas oportunidades creativas y mejorando la eficiencia en el proceso de producción.