bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Air Flow and Temperature Distribution in a Greenhouse Solar Dryer Using Computational Fluid Dynamics
Authors: A. Jabbar Inas Abdulsattar , Ali Mohammed Ayad , Mahmood Haider F.
Published: January 2025

This research is conducted to optimize the uniformity of air flow and temperature distribution for a greenhouse solar dryer based on Computational Fluid Dynamics (CFD) simulations. But the aim was to maximise drying efficiency, which could only be achieved by ensuring that there was a uniform air velocity — and temperature, for some applications — throughout the whole volume of the drying chamber. The basic idea is to model and simulating several fan configurations such as horizontal flow fans (with grilles), without grille, or even vertical flow fans. The results revealed that the (horizontal-flow/fan/grille) system also improved air distribution, leading to steadier temperature field and higher average air velocity when compared with other configurations. The peak air velocity at the inlet of drying zone for optimized model is observed to be 3.8 m/s, with an average temperature in the drying zone is 320 K which led to better drying efficiency and faster dry times. The results of this study should be useful to the optimal designing and operating greenhouse solar dryers whilst aiming for a sustainable and energy-efficient way forward in food preservation methods.
Mathematical Modeling of Nanofluid Flow for Enhanced Oil Recovery Under the Effect of the High Temperature
Authors: Zafar Mudasar , Sakidin Hamzah , Hussain Abida , Ullah Farman , Sheremet Mikhail , Dzulkarnain Iskandar , Nazar Roslinda , Safdar Rizwan , Al-Yaari Abdullah
Published: January 2025

In the oil and gas industry, it is very important to recover the maximum amount of oil extracted from the reservoirs. Many methods are employed in the extraction process in Enhanced Oil Recovery (EOR) to obtain maximum oil recovery, but unfortunately, only up to 70% can be recovered from the reservoirs. One of the most important and new techniques in EOR is the use of nanotechnology during the recovery process. Without mathematical analysis, it is difficult to perform experiments to recover oil, as the experimental setup is very costly. Hence, it is essential to study the physical properties of the reservoir and its flow behaviour to get maximum output. In this paper, we studied the impact of the physical behaviour of the oil reservoir and its characteristics in terms of oil flow by considering a hypothetical cubical oil reservoir. Our aim is to predict the maximum oil recovery under the influence of temperature (i.e., 20oC, 90oC, and 130oC) by using nanofluid flow and to investigate the impact of geometry on oil recovery. The ANSYS Fluent-based finite volume method is used for the simulation process. The results obtained from the mathematical analysis show that the impact of geometrical behaviour is very significant in improving oil recovery. It is also found that when the temperature of the reservoir increases, the oil recovery rate suddenly decreases, and maximum oil recovery is obtained at 90 degrees Celsius in all cases of the nanoparticles at different flow rates. In the future, we will extend this work to more complex geometries to predict maximum oil recovery under the influence of high temperature and pressure.
Akses dan Pembagian Manfaat Sumber Daya Genetik Indonesia oleh Negara Lain dalam Konteks Komersialisasi serta Penyelesaian Sengketanya Berdasarkan Perjanjian Internasional yang Berlaku di Indonesia
Authors: Ahmad Reza Fachrurazi
Published: January 2025

Indonesia, sebagai negara megabiodiversitas, memiliki sumber daya genetik (SDG) yang berperan penting dalam berbagai sektor seperti ketahanan pangan, kesehatan, dan lingkungan. Dengan meratifikasi perjanjian internasional seperti Convention on Biological Diversity (CBD), Nagoya Protocol (NP), dan International Treaty on Plant Genetic Resources for Food and Agriculture (ITPGRFA), Indonesia telah mengadopsi kerangka hukum untuk akses dan pembagian manfaat SDG. Artikel ini menganalisis mekanisme pengelolaan SDG Indonesia dalam konteks komersialisasi oleh negara lain serta mekanisme penyelesaian sengketa terkait. Melalui metode penelitian hukum normatif, kajian ini menunjukkan bahwa meskipun perjanjian internasional memberikan dasar hukum yang kuat, Indonesia menghadapi tantangan dalam implementasi. Terbatasnya sumber daya manusia, teknologi, dan infrastruktur mengurangi daya tawar Indonesia dalam negosiasi akses dan pembagian manfaat. Beberapa kasus, seperti pematenan tanaman lokal oleh perusahaan asing, menyoroti perlunya mekanisme perlindungan yang lebih efektif. Penelitian ini merekomendasikan penguatan kapasitas nasional melalui pengembangan regulasi domestik yang lebih terintegrasi, sistem pemantauan, serta peningkatan keterlibatan masyarakat adat. Dalam aspek penyelesaian sengketa, penting untuk memanfaatkan jalur negosiasi dan mediasi sebagaimana diatur dalam CBD, NP, dan ITPGRFA, dengan tetap memperhatikan perlindungan hak dan kepentingan nasional. Kesimpulannya, perlindungan dan pemanfaatan SDG secara adil dan berkelanjutan membutuhkan sinergi antara pemerintah, komunitas lokal, dan mitra internasional.
Pengawasan Satpol Pamong Praja dan Pemadam Kebakaran dalam Menegakkan Peraturan Daerah Kabupaten Malinau Nomor 13 Tahun 2002 Tentang Larangan Minuman Beralkohol
Authors: A. Rahmatdin  , Entang Adhy Muhtar  , Sofjan Aripin
Published: January 2025

Data pelanggaran Peraturan Daerah Nomor 13 tahun 2002 menunjukkan selama periode tahun 2020 sampai 2022 penyalahgunaan terhadap minuman beralkohol masih cukup marak terjadi di Malinau, bahkan cenderung mengalami peningkatan mulai dari pelanggaran mengkonsumsi sampai dengan pelanggaran memasukkan, mengedarkan dan menjual minuman beralkohol. Tulisan ini ingin mengungkap Data pelanggaran Peraturan Daerah Nomor 13 tahun 2002 menunjukkan selama periode tahun 2020 sampai 2022 penyalahgunaan terhadap minuman beralkohol masih cukup marak terjadi di Malinau, bahkan cenderung mengalami peningkatan mulai dari pelanggaran mengkonsumsi sampai dengan pelanggaran memasukkan, mengedarkan dan menjual minuman beralkohol. Jenis penelitian ini kualitatif, dengan menggunakan dasar teori pengawasan yang terdiri dari lima dimensi. Hasil temuannya Faktor penyebab masyarakat sering mengkonsumsi miras antara lain, faktor keluarga, faktor lingkungan tempat tinggal, faktor pengaruh teman, faktor pengaruh globalisasi, sehingga pengawasan perda di Kabupaten Malinau berjalan kurang optimal. Oleh karena itu, pemerintah Kabuapten Malinau melalui penegak Perda yakni Satpol PP dan Damkar bekerjasama dengan pihak terkait lainnya seperti Polisi sebagai penegak hukum dan Disperindag sebagai pihak yang berwenang atas perizinan, pencabutan izin, dan sebagainya mengawasi dan mengurangi perizinan, penjualan, perdagangan minuman beralkohol.
Using Mental Modeling to study the management of used cooking oil in Kuala Nerus
Authors: ZAMRI Siti Syazuwahanna Binti Mohd , GHANI Latifah Binti Abdul
Published: January 2025

Recycling of used cooking oil is an effort by collecting, processing and reusing solid waste or materials that have been used for the purpose of environmental conservation. This study was conducted to identify the level of knowledge and awareness of used cooking oil management among the community in the Kuala Nerus district, Terengganu. The study involved 30 respondents in the community, namely traders, used cooking oil wholesalers, households, students and the government. The study used a mixed method, i.e. qualitative and quantitative research using fuzzy cognitive modelling including individual mental model modeling. The results of the study showed that the knowledge of cooking oil waste recycling among the respondents was still at a moderate level. The results of the study found that for the aspect of qualitative analysis, there were four themes that emerged, namely knowledge, awareness, attitude and culture. While descriptive analysis identifies the most dominant relationship strength is the theme of knowledge. The recommendations in this study are necessary to improve the management of used cooking oil in Kuala Nerus through a comprehensive and integrated approach. This study proposes a legal approach, encourages the expansion of this study to a higher level and improves the provision of used cooking oil management infrastructure.
The Relationship of Entrepreneurs Productivity and Quality of Life
Authors: Junianto Fitriyadi  , Servin May Nggiri
Published: January 2025

Lansia yang tidak poduktif akan mengalami harga diri rendah, karena merasa tidak berguna yang dapat menurunkan kualitas hidupnya. Tujuan penelitian untuk mengetahui hubungan produktivitas wirausaha dengan kualitas hidup lansia. Peneliti menggunakan analitik korelasional dengan sampel yang diambil sampel sebanyak 30 lansia di Dusun Puhrejo Desa Tulungrejo Kecamatan Pare menggunakan teknik purposive sampling. Uji statistik menggunakan Spearman Rho. Identifikasi produktif wirausaha cukup sebanyak 13 responden (43,3%) dan kualitas hidup lansia yang baik sebanyak 12 responden (40%). Analisis hasil uji Spearman Rho dengan nilai sig 2-tailed adalah 0,000 yang artinya ada hubungan produktivitas wirausaha dengan kualitas hidup lansia. Lansia yang produktif berwirausaha dapat meningkakan kualitas hidupnya dengan memenuhi kebutuhannya secara mandiri.
AI-Powered Harmony
Authors: Malhotra Meetu , Ghosh Ria , Kumar Naresh , Reddy C. Kishore Kumar
Published: January 2025

Cyberbullying remains a pervasive issue in the digital era, affecting individuals of all ages across diverse online platforms. This book chapter, AI-Powered Harmony Pioneering Safer Social Platforms, explores the evolving role of Artificial Intelligence (AI) in mitigating this critical societal challenge. The chapter begins by emphasizing the importance of cyberbullying prevention and highlights the transformative potential of AI-driven solutions. It covers Emerging AI technologies, deep learning models like GPT and BERT, and multimodal approaches are also examined in depth and concludes with a vision for a collaborative and AI-driven future.
Developing Ethical Generative AI Models to Combat Cyberbullying on Social Media Platforms
Authors: Kumar M. Sai Ramakrishna , Singh Thakur Monika , Reddy C. Kishor Kumar , Doss Srinath
Published: January 2025

This chapter explores the development of ethical generative AI models to combat cyberbullying on social media platforms. It begins with an overview of cyberbullying, its impact on victims, and the importance of addressing it through AI-driven solutions. The role of AI in identifying and mitigating harmful content is examined, along with key ethical considerations such as fairness, privacy, and transparency. The design of ethical AI models is discussed, emphasizing stakeholder involvement and mechanisms to reduce bias and harm. Implementation strategies include data collection, model training, and user interface design. The chapter also highlights metrics for evaluating AI effectiveness, long-term impact on cyberbullying rates, and potential policy recommendations. Finally, it outlines future directions for AI advancements and evolving social media challenges.
Developing Intelligent Systems to Combat Cyberbullying
Authors: Singh Thakur Monika , Reddy C. Kishor Kumar , Parkar Trupti Vinayak Vinayak
Published: January 2025

Cyberbullying significantly impacts mental health in today's digital age, calling for innovative prevention and mitigation strategies. This chapter delves into the role of artificial intelligence (AI) in addressing cyberbullying, starting with an analysis of its definitions, forms, and psychological effects to underscore the need for effective interventions. It highlights how AI technologies, including Natural Language Processing (NLP) techniques like sentiment analysis, keyword detection, and contextual interpretation, as well as machine learning models, are advancing traditional detection methods. Real-world case studies demonstrate successful AI applications in real-time monitoring and user behavior analysis, offering valuable insights. Ethical issues, such as data privacy, algorithmic bias, and transparency, are critically examined to ensure responsible AI use. The chapter also discusses the limitations of current AI solutions and future advancements, emphasizing the need for stakeholder collaboration and providing actionable strategies to foster safer online environments.
Combating Cyberbullying With Generative AI
Authors: Rajeshwari B. Sandhiya , Divya I.
Published: January 2025

Cyber bullying is a growing issue, causing significant psychological harm across various demographics. Traditional methods of combating it struggle to keep pace with evolving technology and tactics. Recent advancements in Generative AI, particularly LLMs, offer new opportunities for prevention, intervention, and support. This paper explores how LLMs can improve detection of harmful online content, identify bullying patterns using natural language processing, and enhance reporting systems. LLMs also provide immediate support to victims through AI-driven chatbots, offering a safe space to share experiences and receive resources. In educational settings, LLMs can foster digital literacy and resilience, promoting empathy and responsible online behavior. Ethical concerns like privacy and bias must be addressed to ensure AI is used positively. Case studies demonstrate LLMs' success in mitigating cyber bullying across platforms. Ultimately, LLMs offer promising tools for a safer online environment, requiring ongoing research, innovation, and collaboration for effective implementation.
Impact of Generative AI on Business Analytics and Decision Making in Service Organizations
Authors: Goel Pawan Kumar , Mahur Lakshay Singh
Published: January 2025

This chapter explores the impact of generative artificial intelligence (AI) on business analytics and strategic decision-making in the service sector. It highlights the need for innovative solutions to complex business challenges, such as data heterogeneity, predictive accuracy, and model interpretability. The proposed methodology combines generative AI techniques with traditional business analytics frameworks, offering unprecedented insights and predictive capabilities. The results show substantial improvements in predictive accuracy, decision support, and operational efficiency compared to existing approaches. The chapter compares the superiority and novelty of the proposed generative AI-driven solution to established results, highlighting its potential in addressing key challenges faced by service organizations worldwide.
Future of Productivity Management
Authors: Khan Hashim , Chetan Vibha , Hukkeri Sheetal V. , Neelima M.
Published: January 2025

In today's competitive business environment, optimizing employee productivity is crucial for organizational success. Traditional methods of productivity management often fall short in effectively leveraging the vast amount of data available. This chapter explores the application of Generative AI as a transformative tool in enhancing productivity management practices. It discusses the fundamental concepts of Generative AI and its diverse applications across industries, highlighting its potential to revolutionize traditional approaches to productivity enhancement. Key benefits of using Generative AI in productivity management are examined, including case studies and real-world examples illustrate successful implementations of Generative AI, demonstrating its tangible impact on organizational efficiency and employee performance. The chapter also addresses challenges and limitations associated with the use of Generative AI and explores emerging trends and future directions, predicting how Generative AI will continue to evolve and shape the future of productivity optimization.
Optimizing HR Operations With Generative AI
Authors: Gupta Harshita , Kaur Jaspreet
Published: January 2025

In the rapidly evolving landscape of healthcare, optimizing human resource (HR) operations is crucial for maintaining efficiency and improving patient care. This chapter explores the strategic integration of generative artificial intelligence (AI) into HR management, focusing on its transformative potential in the healthcare sector. By leveraging generative AI, healthcare organizations can streamline recruitment, enhance employee engagement, and automate routine administrative tasks, leading to a more agile and responsive HR function. The chapter provides a comprehensive overview of the current applications of generative AI in HR, presents case studies from leading healthcare institutions, and discusses the ethical considerations and challenges associated with AI adoption. Practical recommendations for implementing AI-driven HR strategies are also outlined, offering valuable insights for healthcare leaders aiming to foster innovation and operational excellence.
Beyond the White Coat
Authors: Khushi  , Kaur Jaspreet , Singh Harwinder
Published: January 2025

In an era where technology increasingly intersects with healthcare, “Beyond the White Coat: A Journey into Virtual Reality Healthcare Innovations” explores the transformative potential of virtual reality (VR) in medical practice. This study delves into the multifaceted applications of VR, from immersive training environments for medical professionals to enhanced patient care and therapeutic interventions. By examining current advancements, case studies, and ongoing research, the study highlights how VR is reshaping diagnostics, treatment planning, and patient engagement. The discussion extends to the challenges and ethical considerations of integrating VR into healthcare, ultimately envisioning a future where virtual experiences are seamlessly integrated into medical practice, enhancing both efficacy and empathy in patient care.
Analyze Consumer Behavior in the Hotel Industry Through Business Intelligence Approach
Authors: Guerreiro Duarte , Pontes Inês , Martins Maria Beatriz , Ramos Célia M. Q.
Published: January 2025

Nowadays, the business market is increasingly challenged by existing information and technology, and the hotel sector is no exception since it is extremely important for the sector to analyze data to be able to draw conclusions about its customers, improve the operation of the company and help its growth. The objective of this chapter is to analyze consumer behaviour in the hotel industry through Business Intelligence approach in order to provide the best possible experience to hotel guests. The countries with the most similar results were Portugal and Spain, which may be because they have cultural, geographical, and historical similarities, sharing a land border. For Great Britain, most of the figures obtained in this country in terms of data analysis were low, which can be justified by the fact that the sample of bookings made by the British is smaller compared to the other countries.
Pioneering Healthcare With AIoT
Authors: Surapaneni Praneetha , Chigurupati Sailaja , Bojjagani Sriramulu
Published: January 2025

AIoT in medicine, or the combination of artificial intelligence (AI) and the internet of things (IoT), is transforming healthcare delivery and patient outcomes. This chapter contains a collection of real-world case studies and success stories demonstrating the revolutionary power of AIoT technology in various medical fields. In these instances, the focus is on how AIoT boosts diagnosis accuracy, enables personalised treatment regimens, and improves operational efficiencies in healthcare organisations. Key case studies include using AIoT in remote patient monitoring, where continuous data gathering from wearable devices, paired with AI algorithms, enables real-time health tracking and early intervention. Another example involves the application of AIoT in the predictive maintenance of medical equipment, which reduces downtime and ensures the availability of key items. Furthermore, the authors investigate the significance of AIoT in optimising hospital workflows, such as expediting patient admissions and inventory management using smart sensors and automated systems.
Innovations of Metaverse Technology in Healthcare
Authors: Patil Preethi N. , Saravanan C. , T. R. Vibha , Dharani Andhe
Published: January 2025

The metaverse technologies, consisting of virtual reality (VR), augmented reality (AR), and mixed reality (MR), among others, is reshaping medical care in many ways such as boosted patient attention and medication, education for medical practitioners, as well as management of illnesses like melanoma skin cancer. This study examines some progressions that metaverse technology has made within public health through such an example as detection and cure of melanoma skin cancer. Early and accurate detection is necessary for improved patient outcomes, given the fact that melanoma is the deadliest form of skin cancer. By 2024, about 100,640 new melanoma cases are predicted to occur in the U. S alone with 8,290 of them resulting into deaths. This chapter aims to offer a comprehensive insight into how these innovations are improving medical care delivery and outcomes by reviewing recent scholarly works, case studies, and technological trends.
AvD Ayur Vriksha Diagnostics for Precise Identification of Medicinal Leaves in Ayurveda Using Deep Learning Techniques
Authors: Kumari J. Jesy Janet , Elilmaniyamma S. , Anushree P. , M. S. Mounika , Maryam Azalfa
Published: January 2025

Medicinal plants have been used for hundreds of years in conventional medical systems due to their therapeutic properties. However, accurately identifying these plants remains challenging, particularly for individuals lacking expertise in botany. This study introduces an innovative method for the automated recognition of medicinal plants employing DenseNet, a highly layered neural network architecture commonly used for image categorization tasks. The method centered on gathering a wide array of portraits of various medicinal plants, together with their respective labels. To improve image quality and uniformity, preprocessing methods shall be used. Overall, the work presents a promising solution in terms of the automatic identification of medicinal plants and harnessing capabilities of DL methodologies. This approach can significantly aid botanists, herbalists, and healthcare practitioners in identifying and utilizing medicinal plants for various therapeutic purposes.
IoT Technologies 5G and 6G
Authors: Singh Charanjeet , Prasad M. , Aarthi B. , Yadav Ranjeet , M. S. Nidhya , Maram Balajee
Published: January 2025

Optical wireless technologies have garnered significant attention in recent years due to their potential to address the growing demands of 5G and 6G networks. These technologies promise to revolutionize physical-world applications by providing enhanced energy efficiency, higher speeds, and cost-effective solutions. However, their implementation faces numerous challenges, particularly in the context of sensors deployed in the internet of things (IoT). This chapter examines critical issues such as the limitations of wireless optical communication, frequent handovers, inter-cell interference losses caused by atmospheric variations, and the need to mitigate flickering effects. By analyzing these challenges, the authors aim to contribute to the development of robust and sustainable optical wireless communication systems, paving the way for their seamless integration into next-generation IoT ecosystems.
Age-Based Perceptions Towards Diversity Management in the Public Sector
Authors: Ali Inayah , Narayan Jashwini Jothishna , Appana Subhash
Published: January 2025

The purpose of this study is to understand the young, middle and older age employees' perceptions on diversity management (DM) and their work outcomes. Previous studies have ignored age based perceptions of DM on the work outcomes especially in the era of growing multigenerational workforce. In this empirical study, a total of 114 survey responses from public employees were analyzed using structural equation modelling (SEM). Findings showed that DM has a positive and significant effect on employee affective commitment, organizational commitment, job satisfaction, work group performance and inclusive organizational culture of all age groups. However low levels of commitment resonate across all the age groups. This study is unique in the subject's small island developing country and is one of the first to consider age based perceptions of DM in a public sector workforce setting.
The Influence of Ethical Leadership on Organizational Citizenship Behavior by the Mediating Role of Organizational Commitment in Ethiopia
Authors: Jio Wako , Kant Shashi , Lemi Kenenisa
Published: January 2025

This chapter manifests the association among behavior of organizational citizenship (OCB) and leaders ethics in the Ethiopian perspective, emphasizing the mediating function of engagement towards organization. A investigation of 385 workers from various Ethiopian healthcare institutions was conducted. First, the Kaiser-Meyer-Olkin (KMO) test is employed to see if the sample size is adequate for factor analysis. Next, using confirmatory factor analysis (CFA), the measurement model is validated and the components' validity and reliability are verified. We then investigate the suggested associations among behavior of organizational citizenship, engagement towards organization, and leaders ethics using structural equation modeling (SEM) using the AMOS tool. The outcomes manifested that leader moral greatly augmented citizenship behavior in a firm, and that engagement of worker towards organization slightly attenuates this association. The noteworthiness of leader moral in creating an engaged workplace culture is emphasized in the investigation.
Exploring Carbon Neutrality in the Metaverse
Authors: Hashmi Rashid , Parmar Hemlata , Murari Utsav Krishan
Published: January 2025

With the metaverse evolving into a significant medium for digital engagement, attaining carbon neutrality is essential for sustainable development. This chapter examines the feasibility of achieving carbon neutrality in the metaverse through the incorporation of sustainable business practices in virtual settings. It emphasizes the potential of virtual economies to minimize physical resource usage, lower carbon emissions, and promote sustainable innovation. Nonetheless, obstacles such as energy-consuming blockchain technologies, emissions from data centers, and the necessity for sustainable infrastructure pose considerable barriers. This chapter provides a framework for businesses to reconcile innovation in the metaverse with environmental accountability through a critical examination of contemporary technologies, business strategies, and sustainability policies.
Exploring Tourism Opportunities in the Metaverse and Technology Era
Authors: Singh Amrik , Das Runa
Published: January 2025

This paper explores the transformative potential of the metaverse within the tourism and hospitality industries' sustainability, drawing insights from recent scholarly literature. As digitalisation and technologyreshape consumer experiences, the metaverse emerges as a pivotal platform for sustainable tourism, providing virtual alternatives that reduce carbon footprints and enhance accessibility to a wider audience. Key studies, including those by Talwar et al. (2022) and Liu & Park (2024), highlight how immersive virtual experiences can influence real-world travel intentions, thereby acting as powerful marketing tools. Furthermore, the metaverse fosters innovativemedia marketing strategies that improve customer engagement and decision-making, enabling businesses to create more inclusive and environmentally friendly experiences. By addressing accessibility, ethical considerations, and economic viability, the integration of metaverse technologies can significantly contribute to a more sustainable and equitable tourism landscape.
Does Corporate Social Responsibility (CSR) Translate Into Sales?
Authors: Minhas Rajinder , Devi Sushila
Published: January 2025

Corporate is a big size business made from the contribution of many shareholders. Corporate as a limited liability business entities are obligated to satisfy varied stakes i.e., shareholders, employees, management, society including customers, local community, and environment too! Therefore, here comes the need of ‘shared values' in terms of Corporate Social Responsibility (CSR) for corporate good citizenship! The present study titled ‘Does Corporate Social Responsibility (CSR) Translate into Sales: A Perspective' is done as primary research to understand the perception of the customers of socially responsible corporates. The primary data emerging from the responses of the respondents is schemed to be analysed using Correlation, Regression, and single ANOVA test analysis. This study definitely puts light on the thinking process of customers, which in consequence; will help Corporate and Planners to understand the utility from the initiatives of being socially responsible; better spelt as ‘Corporate Social Responsibility (CSR)'.
AI in ELT
Authors: Eragamreddy Nagamurali
Published: January 2025

Using data from 50 instructors, this chapter investigates AI especially ChatGPT's use in ELT. It draws attention to how it might enhance language skills, but it also brings up issues with over-reliance, cultural sensitivity, and excessive usage. To effectively integrate AI into ELT, this chapter suggests taking flexible courses and engaging in organized professional development. Nonetheless, challenges such as a restricted number of participants and feedback from students indicate the need for further studies on academic accomplishments and AI integration techniques.
Corrective Feedback of AI Tools in Writing and Translation
Authors: Jomaa Nayef J.
Published: January 2025

Writing is thought to be a complicated process that combines higher-level abilities. Besides, writing in a second language presents its own distinct set of difficulties related to possible inadequacies and gaps in lexical, pragmatic, syntactic, and/or rhetorical understanding. In certain domains AWE tools could not be very helpful. The difficulty for AI to completely comprehend the affluence and complexity of human languages, as well as their contextual pragmatics and contextual characteristics, may be ascribed to the density of human languages . Therefore, this study aims to explore the current uses of AI tools utilised in writing and translation. In addition, it identifies the ethical issues related to using these AI tools in both processes. The study will review varied sources taking into account the current trends as well as a background of using AI in its early stages and the future directions. The findings of this study could be useful to novice writers who are interested in scholarly publications as well as academicians, EFL instructors, and FL instructors.
Tourism after Corona (COVID-19) and Recovery Strategies: Market diversification, Nature-based, and Geotourism potentialities in Sri Lanka
Authors: Fernando Imali N. , Ratnayake A. S.
Published: January 2025

Tourism counts as one of the most significant global economic sectors which could cross cultural boundaries, influence economies, open up an avenue for leisure and relaxation motives, and unite people globally. Despite being a massive contributor to the global economy, tourism promotes millions of direct/indirect employments and cross-cultural mobility. In the post-pandemic era, tourism has become a premier part of the economic boom in Sri Lanka, as the peaceful state and hereditary beauty mingled to attract visitors around the globe. This paper attempts to discover post-pandemic recovery strategies identifying post-pandemic tourism behavior within the economy and potential tourism markets. The study objectives have been reached through a comprehensive secondary data analysis and industry stakeholder survey conducted during September-October 2024. Administered Questionnaires among the respondents to gain an in-depth understanding of (1) nature-based tourism during the present post-pandemic, (2) demographic features of the target market, (3) Geotourism as a potential market to develop, (4) Possible geosites which would be promoted and (5) potential tourism markets. Data was qualitatively analyzed through the Thematic analysis method for a deeper understanding of the concept. The paper provides directions on sector development through sustainable solutions by uplifting the nature-based tourism cluster, geotourism development, market diversification and specifically linking Ramayana Trail with geosites to attract Indian tourist market.
Benson’s spiritual relaxation and lavender aromatherapy toward anxiety, sleep quality, and blood pressure
Authors: Setiyowati Eppy , Soleha Umdatus , Mulyadi Mulyadi , Basuni Muhammad
Published: January 2025

Anxiety caused by illness is one of the factors contributing to elevated hypertension across all age groups. Therefore, in addition to pharmacological treatment, non-pharmacological therapy is essential to reduce anxiety, lower blood pressure, and improve sleep quality in hypertensive patients. This study aimed to analyze the effects of Benson's spiritual relaxation and lavender aromatherapy on anxiety, sleep quality, and blood pressure in hypertensive patients. This research employed a quasi-experimental design with a pretest-posttest control group approach. The population consisted of 97 hypertensive patients at the Indonesian National Army-Navy Hospital, with a sample size of 44 respondents selected through purposive sampling. The independent variables were Benson's spiritual relaxation and lavender aromatherapy, while the dependent variables were anxiety, sleep quality, and blood pressure. Data were analyzed using multivariate analysis with a significance level of <0.05. The results indicated a significant effect of Benson's spiritual relaxation and lavender aromatherapy on anxiety (p=0.000), sleep quality (p=0.000), systolic blood pressure (p=0.000), and diastolic blood pressure (p=0.000). These techniques are simple to implement, making them a viable nursing intervention in inpatient settings and contributing to nursing science development in hospitals.
Stress factors among physiotherapy students at a university in Gauteng, South Africa
Authors: Collins Zander I. , Siepker Chané , Ralehlaka Kelebogile J. , Molefe Boitshoko C. , Phala Tiisetso C. , Vilankulu Simphiwe A. , Sibuyi Makwena M. , Ntuli Thembelihle S.
Published: January 2025

Background: Physiotherapy students are highly susceptible to experiencing burnout during training. Prolonged exposure to stressful environments predisposes students to psychological morbidities.Aim: The study assessed the perceived level of stress and stressors among a cohort of final-year physiotherapy students, registered at a medical university in Gauteng province, South Africa.Setting: The study was conducted at a single medical university in Gauteng province with registered final-year undergraduate physiotherapy students for the 2024 academic year.Methods: A descriptive cross-sectional study with a total population sample of 42 physiotherapy students. Data were collected through an online anonymised self-administered questionnaire. The Cronbach alpha coefficients for each subscale were 0.99 for physical, 0.72 for interpersonal relationships, 0.85 for academic and 0.81 for environment. Statistical analysis was conducted using IBM Corp’s Statistical Package for the Social Sciences (SPSS) Software version 25.Results: The median age of participants was 22 years (iqr ± 3.8) with 69.0% of them being females. Perceived stress levels ranged between low (n = 24, 57.14%) to moderate (n = 18, 42.85%) with females being at risk, as measured by the Student Stress Inventory. Academic and environmental factors contributed to perceived moderate to severe stress levels.Conclusion: The study found the severity of stress levels to be slightly below what has been reported in other studies. However, attention needs to be directed to female students to develop emotional self-efficacy skills. Early identification of psychosomatic disorders could indicate the need for interventions to prevent psychological and physiological morbidities.Contribution: The study adds to the body of knowledge pertaining to the mental health of students at higher institutions of learning.
Epidemiology of spinal cord injuries in three selected counties in Kenya
Authors: Muli George M. , Ntsiea Veronica , Benjamin-Damons Natalie , Tawa Nassib
Published: January 2025

Background: Spinal cord injury (SCI) presents a significant health challenge, characterised by damage to the spinal cord resulting from trauma, inflammation, tumours or other aetiologies. This injury often leads to a range of debilitating consequences, including loss of motor function, sensation, sphincter control and autonomic nerve function below the site of injury, as well as challenges with self-care and performance of instrumental activities of daily living (ADLs).Objectives: This study aimed to determine the prevalence, risk factors and characteristics of SCI among adult patients in three selected counties in Kenya.Method: A population of 213 patients from three counties in Kenya was used for this study. Then, a retrospective descriptive cross-sectional study design was utilised to evaluate the prevalence of SCI.Results: The findings reveal a predominant prevalence in male patients, accounting for 84.04% of occurrences, with the highest incidence observed among individuals aged 26–35 years (36.15%). Motor vehicle accidents are the leading cause, accounting for 45.07% of cases, followed by falls from height accounting for 42.25% of cases and violence, specifically gunshot injuries, which account for 7.04% of incidents.Conclusion: The findings of this study provide a comprehensive epidemiology of SCI in three counties in Kenya with male patients recording high prevalence in motor vehicle accidents and falls from height as well as in severity and associated SCI complications.Clinical implications: This finding provides significant information on safety awareness and a platform to develop rehabilitation programmes for patients with SCI in Kenya.
Early mobilisation in Windhoek intensive care units: Practices, attitudes and barriers
Authors: Du Plessis Ilse , Francis Savarna , Morrow Brenda
Published: January 2025

Background: Early mobilisation (EM) of critically ill patients in intensive care units (ICUs) has gained significant attention because of its potential to improve patient outcomes. Despite the recognised benefits of EM, implementation remains inconsistent.Objectives: To describe the knowledge, attitudes and practices of healthcare professionals regarding EM of critically ill patients in Windhoek.Method: A descriptive, cross-sectional design using a self-administered survey was conducted in Windhoek, Namibia, targeting nurses, doctors and physiotherapists working in private ICUs.Results: A total of 174 surveys were distributed, with a response rate of 24.1% (n = 42). Respondents included 21 nurses, 5 doctors and 13 physiotherapists. Most participants underestimated the incidence of ICU-acquired weakness and reported unfamiliarity with EM literature (n = 19, 51.4%). Furthermore, 25 respondents (67.6%) reported that patients were not automatically assessed for mobilisation, the majority reported requiring a doctor’s referral (n = 31, 83.8%). Mobility practices were conservative, especially when patients were intubated or in the presence of radial and femoral catheters. Major patient-level barriers included medical instability (n = 24, 72.7%) and excessive sedation (n = 18, 54.5%); whereas institutional barriers were the requirement for a doctor’s referral (n = 22, 64.7%) and no written guidelines or protocols for mobilisation (n = 16, 47.1%). Provider level barriers were that mobility is not perceived as important by some individuals (n = 18, 78.3%).Conclusion: Our study revealed knowledge gaps, conservative mobility practices and numerous barriers to EM implementation at the patient, provider and institutional levels.Clinical implications: The findings highlight the need for targeted education, training programmes, standardised mobility protocols and the establishment of a dedicated mobility champion to promote EM in Windhoek ICUs.
Linking organisational life cycle models to church’s dual nature for effective management
Authors: Sichula Osward , Nanthambwe Patrick , Magezi Vhumani
Published: January 2025

A comprehensive understanding of the church’s dual nature is essential for effective governance and management. Traditionally, the church has been viewed through dichotomous lenses as either a purely spiritual organism or a physical organisation, often leading to gaps in management practices. This article addresses the critical question: how can the church’s spiritual and physical dimensions be effectively integrated into governance and management practices, particularly for newly established and growing churches? The article aims to propose a dual perspective for conceptualising the church as both a spiritual and physical entity to improve its governance and management. By linking Organisational Life Cycle models to the physical nature of the church, the study argues for practical strategies to enhance governance, optimise resource allocation and refine management practices. The article employs a systematic literature review to analyse existing perspectives, identify gaps and propose a comprehensive framework for integrating the church’s dual nature. The findings highlight the importance of balancing the church’s spiritual ethos with its organisational structure, addressing critical gaps in governance and management practices caused by one-sided conceptualisations. This framework provides practical insights for church leaders and administrators, ensuring that the church remains true to its spiritual mission while achieving effective organisational management.Contribution: This article makes a contribution to practical theology and organisational management within the context of ecclesial studies. Specifically, it addresses the intersection of theological understanding and management principles by offering a dual perspective on conceptualising the church as both a spiritual and physical entity. This contribution is particularly relevant for enhancing church governance, resource allocation and management practices, making it valuable for scholars, church leaders and administrators.
Implementing university wellness program for mental wellbeing among health science students: A protocol for implementing an intervention program in higher educational institutions Chennai Tamil Nadu
Authors: Pichamuthu Bala Ganesh , Thennavan Sathya , Govardhanan Sharmila
Published: January 2025

Background:

University students, especially those in the health sciences, face significant mental health challenges due to demanding academic schedules and personal stressors. The University Wellness Programme (UWP) is committed to enhancing mental health and overall well-being by implementing comprehensive interventions.

Methods and Materials:

The pilot study was conducted at a private higher educational institution in Chennai, Tamil Nadu, with 200 health science students participating. The study is expected to expanded to include 600 participants. A quasi-experimental field study with a control group and a cross-sectional design was implemented. Interventions included recreational clubs, life skills and mindfulness training, and counselling services tailored to students. Data were collected using a validated wellness assessment tool with high reliability (Cronbach’s alpha = 0.912). Pre- and post-intervention evaluations were conducted over a six-month period.

Results:

In the pilot study, 55% of students reported excellent overall wellness, while 15% reported poor wellness. Additionally, 20% of students reported experiencing high levels of depression, while 25% reported high levels of stress. Substantial improvements in students’ mental health were observed, with reductions in anxiety, depression, and stress. The stress management sessions were found to be beneficial by 80% of students, while life skills training and recreational clubs received high participation rates and positive feedback.

Conclusion:

The UWP’s comprehensive, multimodal approach effectively improves mental health and reduces stress among health science students. The program’s success highlights the importance of integrating mental health promotion into higher education. In order to enhance the well-being of students, future implementations should prioritize expanding counselling services, life skills development, and recreational activities. The results underscore the need for tailored interventions to address the unique stressors faced by students, advocating for policy development and dedicated funding for wellness programs in universities.
Low attitude despite excellent knowledge in dental students on treating HIV/AIDS patients: Where are we lacking as educators?
Authors: Manickam Prebha , Varghese Tina , Xiao En Leanne Liew , Qin Kee Zi , Xin Kong He
Published: January 2025

Background:

To achieve the goal of the Malaysian National Strategic Plan for ending HIV/AIDS by 2030, holistic management of patients with HIV/AIDS is crucial. Dental students are integral part of the workforce in managing these patients. It is pertinent that the dental students have sufficient knowledge and a positive approach towards this disease. Therefore, it is crucial to gain insight into dental students’ knowledge and attitude towards patients with HIV and improve them. The study aims to investigate the effectiveness of a brief educational intervention to improve dental students’ knowledge and attitude towards patients with HIV/AIDS and to analyse the quality of teaching methods based on the results.

Materials and Methods:

A validated questionnaire consisting of HIV knowledge and attitude items were administered to year 3 and 4 dental students (n = 89) by convenience sampling method. An educational intervention was conducted with the aim of improving awareness and management of patients with HIV/AIDS in dental settings. After three weeks, a post-assessment questionnaire was administered. The effect of the intervention was analysed by paired t-test (P < 0.048) and Pearson correlation test.

Results:

The mean age of respondents was 22.2 years. Significant improvement in knowledge was seen with mean scores including pre-assessment (76.7%) and post-assessment (87.4%) indicating excellent knowledge scores. Although positive changes in attitude were noticed, they were not statistically significant. Negative correlation between knowledge and attitude was also reported (r = -0.303).

Conclusions:

Education about HIV/AIDS is considered the most effective method to improve knowledge and attitude. The results demonstrated that the intervention had successfully increased the students’ knowledge and brought in a change attitude where the expected changes were not statistically significant. To bridge this gap between knowledge and attitude, a step ahead of just imparting ‘education’ is required.