bluuebunny/crossref_metadata_2025 huggingface dataset:
Introducing FIRSTmed-ADLX Model: As a New Learner Experience LX Model in the Medical Context, Public Health and Wellness Education Intervention - the Case of the IMC Wellness Office in KSA
Authors: Bahgat Mohamed , Nazal Alaa , Elsafty Ashraf , Seddek Ahmed , Elkharoby Asmaa
Published: February 2025

The field of health and wellness education in the public health presents unique challenges due to the need for effective frameworks that can help educators and healthcare providers facilitate the transfer of wellness concepts to clients for behavior modification and transformation for better health outcomes (Solhi et.al, 2020; Olsen, 2010). In response to this need, the FIRSTmed-ADLX (Focusing – Interacting – Reviewing – Sequencing – Transforming) (Active Deep learner eXperience) was developed as medical education, public health, and wellness sub-context of the successful FIRST-ADLX framework (Bahgat et al. 2018), This paper explores the compatibility and effectiveness of the model for public health and wellness education. The study adopts an exploratory mixed research method that combines qualitative by the template analysis technique using MAXQDA and quantitative for descriptive analysis using MS Excel.Findings include the unprecedented paradigm transformation expressed by healthcare providers and medical educators in their understanding of education and learning principles. The study revealed that participants' deep engagement and motivation, coupled with their perception of themselves as learners, greatly assisted them in enhancing their design and facilitation capabilities by applying the domains and principles of the model Wellness clients exhibited notable transformations in their learning experiences and personal behaviors, particularly in adopting healthier lifestyles and embracing wellness practices.Furthermore, the analysis has brought to light the notable impact of FIRSTmed-ADLX on the working culture within the IMC's (International Medical Center) wellness office results. This encompasses processes, internal language, and behavioral shifts, underscoring the substantial impact of the model.
Implementasi Projek Penguatan Profil Pelajar Pancasila (P5) terhadap Pembentukan Karakter Disiplin dan Tanggung Jawab pada Peserta Didik
Authors: Dewi Ni Made Windy Aristya , Yudana I Made , Sanjaya Dewa Bagus
Published: February 2025

Penelitian ini dilatarbelakangi oleh kemerosotan karakter di Indonesia yang disebabkan oleh pergeseran sosial kultur: 1) kurangnya rasa tanggung jawab; 2) disiplin yang rendah. Projek Penguatan Profil Pelajar Pancasila (P5) memiliki tujuan untuk mengoptimalkan pembentukan karakter disiplin dan tanggung jawab peserta didik. Peneliti menggunakan metode deskriptif kualitatif, pengumpulan data melalui observasi, wawancara, dan dokumentasi, yang menggambil lokasi penelitian di SMP Negeri 1 Singaraja, penentuan subjek penelitian secara purposive sampling. Temuan penelitian menunjukkan bahwa: (1) Strategi pada kegiatan (P5) menggunakan strategi terdiferensiasi yang dapat memaksimalkan kebutuhan peserta didik dan juga kebutuhan sekolah; (2) Pelaksanaan (P5) melalui tahap perencanaan, aksi dan evaluasi dan hasil implementasi membuktikan (P5) dapat membentuk karakter disiplin dan tanggung jawab peserta melalui projek pembuatan mini vlog, poster/brosur, infografis dan makalah; (3) Tantangan, hambatan dan solusi ada (P5 yakni tantangan dalam menyusun, memahami modul P5, hambatan yang terjadi pada jadwal, solusi sekolah mengadakan workshop, dan merancang jadwal yang terstruktur.
Impact of Green Supply Chain Management Practices on Operational Performance in Logistics Companies in Sri Lanka
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Kaushalya Chamari , Sahana Subachandran ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Wijenayake Omitha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Jayawardana Susith ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Karunarathna Navodika ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Kalansuriya Naduni ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

To improve organizational performance and gain a competitive advantage, businesses today realize that environmental sustainability and becoming green are key basic principles. The objective of this study is to investigate how Green Supply Chain Management Practices (GSCMP) would affect the operational performance of logistics companies in Sri Lanka. A questionnaire was used to gather primary data from the sample, which consisted of 152 logistics companies. Statistical Package for Social Sciences (SPSS) software was used to analyze the data using multiple linear regression. According to the study's findings, green packaging and green transportation have a significant impact on operational performance, whereas green purchasing has no significant impact. The contribution of this study addresses a gap in existing literature concerning the combined analysis of green purchasing, green packaging, green warehousing, and green transportation variables in relation to their impact on operational performance in the Sri Lankan context. And it is the first study to focus specifically on the Sri Lankan logistics sector. Also, the study identifies GSCMP adoption limitations in the logistics sector and lays out the foundations for future research to address those barriers.
Keywords: Green Supply Chain Management Practices, Logistic Companies, Operational Performance and Sri Lanka.
Exploring Disparities in Happiness Index Rankings: A Comparative Study between Selected Countries
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Gevindhi Jithma , Dasanayaka Pavani ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Dewappriya Ravindu ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Parinda Kasun ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

This study aims to investigate the impact of economic and certain social and governance factors on the happiness index, with a focus on estimating their relative contribution to disparities among groups of countries classified according to income levels (high, upper-middle, lower-middle, and low). This study employs a multiple regression technique to analyse data collected from the World Bank database and the World Happiness Report spanning the years 2010 to 2019 to compare the four groups of countries categorized by the World Bank according to their income levels of each income group. The findings of this study show that healthcare expenditure and government effectiveness increase people’s happiness in all four groups of countries. Furthermore, the findings suggest that fiscal contribution matters for people’s happiness only in high income and upper middle-income countries. Additionally, infrastructure, government effectiveness, political stability and absence of violence and terrorism, rule of law and voice and accountability matter for the happiness of people in lower-middle income countries. All variables, except fiscal contribution, have a significant impact on the happiness of people in low-income countries. This paper is the first that analyses how economic and certain social and governance factors relatively impact happiness of peoples in selected four groups of countries that classified according to their all four income levels.
Keywords: Comparative study and Happiness
Lean Tools to Improve Efficiency and Effectiveness in Sri Lankan Private Hospital Sector
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Patabendige D.I.K. , Udugampola N.C. ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Wickramathunga K.G. ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Dilshan S.A.S. ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Karunarathna N. ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Shamila A.K.P.P ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

Lean tools can be identified as one of the main practices that are being used in different industries around the world to enhance the efficiency and effectiveness of the organizational process while adding value to the end customers. When it comes to the private medical sector in Sri Lanka, it is important to uplift the quality standards to ensure customer satisfaction and to become helpful to the public medical sector, and implementing lean practices can be an ideal way to uplift the private medical sector in the country. This paper aims to examine the practical applications that can be used to enhance the impact of lean practices in the supply chain function of the private hospital sector in Sri Lanka. The authors gathered data from in-depth interviews conducted with supply chain professionals such as executives and managers of the private hospital sector and focused more on the suggestions of the interviewees on improving the impact of lean practices on the supply chain system of the Sri Lankan private hospital sector. The final results and conclusions of the study are extracted through thematic analysis which is used to evaluate data gathered through in-depth interviews and the practical applications that can be implemented in the private medical sector to maximize the effectiveness of current lean supply chain practices in the Sri Lankan private hospital sector which provides a considerable impact on the overall performance of the private healthcare sector of the country such as value stream mapping, Focus PDCA, Improve Staff engagement and Reduce medical errors has been identified as the findings of the study which can be beneficial in terms of reducing organizational cost, improving service quality and, eliminating wastage while enhancing overall organizational performances.
Keywords: Effectiveness, Private Healthcare, Lean Supply Chain, Lean Tools and Sri Lanka
Institutional Best Practices Amidst and Beyond the COVID-19: The Case of Higher Educational Institutes in Sri Lanka
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Rathnayake Nilmini , Weerasinghe Ashani ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Weerasinghe Naween ,   HealthRecon Connect LLC, Colombo, Sri Lanka, Kumarasinghe Janak ,   University of Sri Jayewardenepura, Nugegoda, Sri Lanka
Published: February 2025

COVID-19 is a blessing for the higher education industry in developing nations since it has accelerated the digitization of higher education. Education is essential to transforming people into human capital. The COVID-19 restrictions on physically entering educational institutions gave boost to the biggest educational disaster in the world. The objective of this study is to investigate the best practices employed by the Higher Education Institutions (HEIs) in Sri Lanka to enhance university academic role both amid and beyond the pandemic. The technique of nonprobability purposive sampling was employed, and the results were then analyzed thematically. Best practices in academic research and knowledge dissemination fields, and teaching have been recognized by the study from the viewpoint of the HEIs. Beyond the pandemic, virtual laboratories, concurrent delivery, and hybrid deliveries are still in use, while academic research and knowledge dissemination are being digitalized and exposed to a global audience. The shift from traditional classrooms to the distance learning environment in developing nations has accelerated the process of meeting the sustainable development objective of high-quality education by 2030. As a result, policymakers in these nations can emphasize digitally enabling the higher education sector.
Keywords: COVID-19, Higher Education Sector and Institutional Best Practices
Influence of IoT on Warehouse Management Performance in the Global Context: A Critical Literature Review
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Perera Supundi , Pinto Amasha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Sewmini Himaya ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Ulugalathenne Andrea ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Thelijjagoda Samantha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Karunarathna Navodika ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

This systematic research paper explores the impact of Industry 4.0 technology, specifically the Internet of Things (IoT), on Warehouse Management Performance (WMP) in the worldwide logistics sector. IoT serves as a pivotal component in the paradigm shift towards Industry 4.0, facilitating the seamless storage, packaging, and distribution of commodities. By harnessing interconnected devices and data-driven insights, warehouses have undergone significant transformations since the inception of IoT technology. This study reviews state-of-the-art literature on the influence of IoT on WMP, emphasizing the vital role warehouse operations play in ensuring the smooth functioning of the supply chain management process. Warehouse operations encompass aspects ranging from planning and layout to receiving, order picking, shipping, and distribution. To optimize warehouse operations, we conduct a comprehensive literature assessment using Scopus as our primary database. The findings from this systematic review indicate that the integration of IoT technologies such as RFID, QR codes, scanners, and Warehouse Management Systems (WMS) can substantially enhance warehouse management performance. These technologies provide real-time data, predictive maintenance, and improved inventory accuracy, resulting in increased operational efficiency, reduced operational expenses, and improved customer satisfaction. Additionally, the IoT framework combines big data, blockchain, cloud computing, and wireless sensor networks to tackle key challenges related to data storage, retrieval, and utilization. This integration significantly improves the effectiveness of the warehouse management process and facilitates data-driven decision-making. Furthermore, IoT's communication capabilities enhance efficiency and reduce costs in warehouse operations. In conclusion, this systematic review underscores the transformative potential of IoT technology in the global logistics sector. It highlights the importance of technological integration, data-driven decision-making, and smart packaging solutions. Recognizing the disruptive effects of IoT on the logistics industry, it emphasizes the need for companies to adopt and leverage IoT technologies to remain competitive and agile in the evolving global supply chain landscape.
Keywords: Warehouse Management, IoT, Warehouse Management Performance, Logistics, Supply Chain Management and Warehouse.
Agent-Based Gamified Learning Environments for Data Science Education
Authors:   University of Kelaniya, Sri Lanka, Jayalath Nirasha , Rajapakse Chathura ,   University of Kelaniya, Sri Lanka
Published: February 2025

Because of the rapid advancement of technology and the increasing importance of the inferences that can be drawn from the big data available in organizations, modern organizations require managers and data Analysts who are capable of data-driven decision-making. But data science students need a natural environment when it comes to learning data-driven decision-making, especially when it comes to predictive and prescriptive analytics. Due to costs and other associated risks in a natural organisation setting, it is hard for educational institutions to teach these aspects of decision-making for data science students. Even Though gamification has been implemented in the data analysis domain in various forms, the field still requires a suitable environment to learn predictive analytics interactively for the students. Even though Researchers have identified that Gamified learning environments can improve Predictive analytics learning can be improved by 15.8%, still there is the lack of proper implementation of a suitable gamified learning environment. This research focused on identifying drawbacks of existing learning environments and whether Agent-Based Modeling can be used in modelling a suitable gamified learning environment. Therefore, an agent-based prototype model of a parameterized environment that enables data-driven decision-making in a simulated environment was modeled using Agent-based modeling, which depicts real-life donor interactions. Results suggest that fill in blanks This Agent-based model can be used as a learning environment for data analysis. Upon further modification, A game that applies this Agent-based model can be developed.
Keywords: Agent-Based Modeling, Gamification, Predictive Analytics, Data Science, Big Data Analytics and Software Agents.
The Appropriateness of Organizational Structure for Project Performance: An Exploratory Study of Public Sector Organizations in Sri Lanka
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Bandara Gayan
Published: February 2025

The objective of this paper is to explore the most appropriate type of structure that can improve project performance of public sector organizations in Sri Lanka. The study utilized the qualitative approach conducting ten structured interviews with project management administrators in the selected five public sector organizations and performing thematic analysis on the coded responses. According to the findings, of the five types of structures; functional, weak matrix, balanced matrix, strong matrix and projectized, strong matrix and projectized structures are advantageous to achieve project scope, time, cost, and customer satisfaction. Hence, the senior authorities at Sri Lankan public sector organizations must take actions to revise their existing structure into a strong matrix or projectized structure for achieving eminent project performance by fulfilling project scope, time, cost, and customer satisfaction.
Keywords: Balanced Matrix Structure, Projectized Structure, Project Performance, Public Sector Projects Strong Matrix Structure and Weak Matrix Structure.
Nutritional Status and Associated Factors in Non-dialysis Inpatients With Chronic Kidney Disease: a Single-center, Mixed-methods Study
Authors: An Nguyen , No author No author , Linh Ha , Long Vo , Van Doan , Duc Nguyen
Published: February 2025

Background: Malnutrition is a prevalent and critical complication in chronic kidney disease (CKD) patients, adversely affecting clinical outcomes. Objective: This study aimed to assess the prevalence, associated factors, and implications of malnutrition in CKD patients, focusing on the role of nutritional interventions and family support.Methods: A cross-sectional study was conducted among CKD patients, utilizing the Subjective Global Assessment (SGA) method to evaluate nutritional status. Additional parameters included body mass index (BMI), serum albumin levels, and self-reported information on nutritional counseling and family support. Logistic regression analysis identified risk factors for malnutrition. Results: Malnutrition was identified in 76.1% of patients, with a higher prevalence among those aged ≥60 years and those with a disease duration ≥2 years. Elderly patients exhibited a 3.29-fold higher risk of malnutrition, while prolonged disease duration was associated with a 3.68-fold increased risk (both p < 0.05). BMI indicated chronic energy deficiency in 34.0% of patients, highlighting the utility of multi-parameter nutritional assessments. Only 23.2% of patients received nutrition-related information from healthcare professionals, and 81.2% relied on family support, which played a complex yet significant role in dietary adherence. Conclusion: Malnutrition remains a pervasive issue among CKD patients, driven by aging, prolonged disease duration, and limited access to structured nutritional counseling. Comprehensive strategies incorporating early assessment, individualized nutritional interventions, and family engagement are essential to mitigate malnutrition and improve outcomes. Future research should focus on longitudinal, multi-center studies to refine and scale effective nutritional care models for CKD populations.
Assessing the Efficacy of Extended Postoperative Enoxaparin as Thromboprophylaxis for Patients Undergoing Laparoscopic Sleeve Gastrectomy: a Prospective Analysis
Authors: Mazahreh Tagleb , Jarrah Mooath , Salhi Amjad , Jarrah Hussam , Bayyari Sara , Alahmad Bashar , Aleshawi Abdelwahab , Iannelli Antonio
Published: February 2025

Background: Venous thromboembolism (VTE), encompassing deep venous thrombosis (DVT) and pulmonary embolism (PE), presents significant morbidity and mortality risks post-bariatric surgery. Despite the recognized need for thromboprophylaxis, optimal strategies, particularly regarding the duration and dosing of chemoprophylaxis, remain under debate. Objective: This study evaluates the efficacy of standard versus extended chemoprophylaxis with enoxaparin in preventing VTE following laparoscopic sleeve gastrectomy (LSG) at King Abdullah University Hospital in Irbid, Jordan. Methods: A prospective cohort study included patients undergoing LSG from January to July 2023. Excluding high-risk individuals based on specific criteria, participants were randomized into two groups: standard prophylaxis (Group A) and extended prophylaxis with enoxaparin for 14 days post-discharge (Group B). Both groups were assessed preoperatively and followed up to one month postoperatively for signs of DVT via venous Doppler ultrasound and for any complications related to enoxaparin use.Results: Of the 116 patients studied, no DVT incidents were reported across both groups. Preoperative and postoperative assessments showed significant weight loss, with no complications associated with enoxaparin. Statistical analysis indicated no significant difference in DVT prevention between groups. The study’s findings align with existing literature, underscoring the safety of enoxaparin but questioning its impact on DVT incidence post-LSG. Conclusion: The study concludes that extended chemoprophylaxis with enoxaparin post-LSG is safe, with no reported adverse effects. However, its efficacy in significantly reducing postoperative DVT incidence remains uncertain. These outcomes suggest the need for further research with larger sample sizes to optimize thromboprophylaxis strategies, considering patient-specific factors and potential risks.
Impacted odontoma in children: A case series
Authors: Chhanna Dr , Singhal Dr , Namdev Dr , Jha Dr , Dayma Dr
Published: February 2025

The most prevalent kind of odontogenic tumors are odontoma, that results from the growth of completely differentiated epithelial and mesenchymal components giving rise to ameloblasts and odontoblasts. They are of two types: compound and complex odontoma. Numerous ideas or etiological factors have been proposed to explain their existence. As they are usually asymptomatic, hence incidentally diagnosed on routine radiographic findings. The management depends upon the diagnosis, location and effect on adjacent structures. Present article reports case series of three children presented with impacted odontome.
FOCAL EPITHELIAL HYPERPLASIA (HECK’S DISEASE): A REVIEW WITH EMPHASIS ON DIAGNOSIS AND TREATMENT
Authors: Abubakar Mohammad , Bawa Anas , Bala Mujtaba , Olamide Bamgbose
Published: February 2025

Focal epithelial hyperplasia (FEH), otherwise known as Heck’s disease or multifocal papilloma was described as a rare, benign, and asymptomatic oral mucosal proliferation with a distinguished painless, multiple, slightly elevated, sessile papules that has an even surface, with normal oral mucosal color which occasional whitish discoloration, and a diameter of 5-10mm. Although frequently found on the labial, buccal, tongue, and gingival mucosa, rarely, it may present on the palate and tonsillar region; with lower labial mucosa being affected more frequent than the upper. The major presenting complaint of patients is esthetic concern. There is scanty organized literature on this relatively rare, yet an important clinical condition especially in this clime. The research will aid clinicians by providing clear diagnostic and management pathways of the disease.
Search was done via databases between January 2024 to February 2024, from Pubmed, Google Scholar, MEDLINE, Researchgate, Academia and CINAHL without date limit. The phrases “Focal epithelial hyperplasia” “Multifocal epithelial hyperplasia” and “Heck’s disease” were used to find related articles.
Included in this review was total of twenty-seven publications whereby the clinical presentation and management of this condition were discussed. Findings from the literature suggest that the disease is more prevalent in Europe, commonly found in children, and esthetic concern as the major presenting complaint.
In conclusion, Heck’s disease is a rare condition especially in adults, sometimes diagnosed as an incidental finding due to lack of associated pain. Most patients present as a result of esthetic concern which underscores the need for clinicians to explore non-invasive management approach in order to subvert the negative intraoperative and postoperative effects of conventional surgical excision.
The aim of this research is to present a general review of the literature on the clinical presentation and management of focal epithelial hyperplasia (Heck’s disease).
Natural Disintegrants in Pharmaceutical Formulations
Authors: Mohamed Asmaa
Published: February 2025

There has been a recent appeal for creating new excipients that could be employed as disintegrants. Because different disintegrating agents can assist in increasing the moisture penetration and dispersion of the tablet matrix, tablet disintegration has recently gained much attention as a crucial step in obtaining rapid drug release. In order to assist in breaking up tablets and capsules into smaller pieces. In order to speed up the disintegration of medications that are not highly water-soluble, natural polymers such as gums, mucilage, and dried fruits are employed. Compared to synthetic disintegrants, natural ones are safer and more affordable. The calming impact, biocompatibility, availability, low cost, and non-irritating nature of natural excipients set them apart from semi-synthetic and synthetic excipients. They are also less costly and more widely accessible. Consequently, an effort has been made to investigate the many natural disintegrants employed in the formulation and development of pharmaceuticals in the current review.
A Broad Review of the Diverse Applications of Internet of Things
Authors: Ademilua Oyinkansola , Yakubu Halima , Oshiga Omotayo , Ali Nyangwarimam , Karataev Tologon
Published: February 2025

The Internet of Things (IoT) is one of the most exciting and useful technologies of the twenty-first century. It can offer high-level application feasibility in the wireless telecommunications industry. The IoT can also be defined as an intelligent, dynamic infrastructure that is embedded with a network of smart devices. It also provides the convenience of accessibility from any place, at any time. The IoT seeks to achieve its main goal, which is to provide a vast and complex information system, by combining several cutting-edge technologies, including sensor data, machine learning, artificial intelligence, big data, data science, networking, and cloud computing. In the context of IoT, gathering vast amounts of data is crucial, but it's also critical to guarantee data security and respect for each individual's right to privacy. The result of these various causes is the emergence of new obstacles in the process of improving and implementing present technology. These kinds of technologies are very prevalent and are giving rise to a growing number of difficulties. We have to study each of these in further detail, to achieve this, comprehensive review of various use cases and challenges of implementing IoT must be carried out. To fill aforementioned gap, this article presents an analysis of the latest Internet of Things technologies, use cases, and challenges.
Agricultural Waste Utilization for the Production of Paper-Bags: A Potential Substitute for Plastics Bags in Food Packaging
Authors: Tyohemba Raymond , Ajegi john , Akura joseph , Awua vivian , Adai gabriel
Published: February 2025

With the world reeling from increasing environmental degradation resulting from plastic pollution and overexploitation of forest resources, eco-friendly alternatives are being sought after. In the current research, the potential of some agricultural residues as alternatives to plastic and wood were investigated. The study was aimed at investigating the suitability of locally available banana stems, pawpaw stems and soybeans straw for the extraction of pulp and production of paper for use in food packaging and particle boards for furniture making. The Kraft pulping process was successfully employed to extract cellulosic materials from banana stems, pawpaw stems, and soybeans straw. The yield of pulp (cellulose) was 41.2%, 42.5% and 43.4% for banana stems, pawpaw stem and soybeans straw respectively, whereas the moisture content, ash content, and pulp consistency ranged between 6.2 – 9.3%, 0.39 – 1.74%, and 25.50 – 28.5% respectively. FTIR analyses of the materials confirmed presence of cellulose while the SEM revealed the materials comprise of highly compacted thin sheets of carbon fibres on its surface. XRD results showed the presence of crystals with two major diffraction peaks at 2Ɵ = 15o and 24o for pawpaw stem and soybeans straw respectively; and three major diffraction peaks at 2Ɵ = 27o, 45o and 52o in banana stem, indicating the presence of crystalline structural formation. The pulps obtained from all three waste products were tested for their suitability in certain applications. While those from banana and pawpaw stems showed great prospects as paper and packaging materials such as shopping bags, soybeans straw appeared more suitable for use as feedstock for particleboards production. The results from the study indicate that these agricultural wastes have potential as substitutes for non-biodegradable plastic packaging, and can potentially reduce the reliance on forests for the production of pulp
Transforming Organizational and Educational Cultures: Developing Global Leadership and Building Inclusive Workplaces Through Innovative HR and Educational Practices
Authors: Apelehin Adeniyi Adebowale , Imohiosen Cyril Enahore , Ajuluchukwu Pius , Abutu Dennis Edache , Udeh Chioma Ann , Iguma Dorothy Ruth
Published: February 2025

Transforming organizational and educational cultures requires a strategic approach to developing global leadership and fostering inclusive workplaces. This review explores innovative HR and educational practices that can drive this transformation. In today's globalized world, organizations face the challenge of adapting to diverse cultural contexts while fostering a sense of unity and inclusivity. Effective leadership is essential to navigate this complexity and promote collaboration across borders. Global leadership development programs play a pivotal role in equipping leaders with the skills and mindset needed to succeed in multicultural environments. These programs focus on cultural intelligence, communication skills, and adaptability, empowering leaders to bridge cultural gaps and build cohesive teams. Building inclusive workplaces is another crucial aspect of organizational transformation. Diversity and inclusion initiatives go beyond mere compliance; they are integral to creating environments where all employees feel valued and empowered to contribute their best. Innovative HR practices such as unconscious bias training, diverse recruitment strategies, and inclusive leadership development programs help break down barriers and foster a culture of belonging. Educational institutions play a vital role in shaping future leaders and fostering inclusive mindsets from an early age. By integrating diversity and inclusion I nto the curriculum, schools and universities prepare students to thrive in diverse environments. Experiential learning opportunities, such as study abroad programs and international student exchanges, offer students firsthand experience in navigating cultural differences. Technology also plays a transformative role in education and HR practices. Online learning platforms enable organizations to deliver training programs to a global audience, breaking down geographical barriers. Virtual reality simulations provide immersive experiences for developing cross-cultural competence, allowing learners to practice communication and decision-making in diverse scenarios.
The Conceptual Relationship Between Financial Disclosure and Corporate Risk Management: A New Paradigm for Regulatory Policy
Authors: Babalola Faith Ibukun , Kokogho Eseoghene , Odio Princess Eloho , Adeyanju Mary Oyenike , Nwokediegwu Zamathula Sikhakhane-
Published: February 2025

This paper explores the critical relationship between financial disclosure and corporate risk management, emphasizing the need for a new paradigm in regulatory policy to address emerging challenges. As corporations face increasing financial and non-financial risks, transparency in financial reporting has become essential to effective risk management. The paper reviews the theoretical foundations of financial disclosure and its influence on corporate risk management, focusing on how accurate and comprehensive disclosures contribute to better decision-making, risk identification, and mitigation strategies. It also examines the regulatory landscape and identifies gaps in current practices that hinder the effective integration of risk management into financial reporting. The paper proposes a new regulatory framework integrating financial and non-financial risk disclosures, encouraging greater transparency and accountability. It suggests reforms in policy and practice that would enhance corporate resilience, reduce risk exposure, and improve stakeholder trust. Finally, the paper recommends future research, policy reforms, and practices for companies and regulators to foster a more effective and cohesive financial disclosure and risk management approach.
MANAJEMEN INVENTORY YANG EFISIEN UNTUK MENIGKATKAN PROFITABILITAS PADA TOKO BINTANG AKSESORIS DI KABUPATEN SIDENRENG RAPPANG
Authors: Ardi  , Muh. Tamrin  , Haslindah
Published: February 2025

Penelitian ini bertujuan untuk mengetahui Manajemen Inventory Yang Efisien Untuk Menigkatkan Profitabilitas Toko Pada Bintang Aksesoris Di Kabupaten Sidenreng Rappang Populasi penelitian ini adalah 18 orang dan sampel sebanyak 18 orang. Teknik penarikan sampel yang digunakan yaitu Sampling jenuh. Tipe penelitian ini adalah deskriptif kuantitatif. Teknik pengumpulan data adalah observasi, penelitian pustaka dan kuesioner. Teknik analisis data menggunakan analisis deskriptif, uji kualitas data (validitas dan reabilitas), uji asumsi klasik, regresi linear dan pengujian hipotesis.
Hasil penelitian menunjukkan bahwa manajemen inventory kurang baik meliputi 1). Analisis ABC 55,4% , 2) Pencatatan yang akurat 51%, 3) Penghitung Siklus 62,2%  sedangkan profitabilitas, meliputi 1) Return on Assets (ROA) 55,4%, 2) Profit Margin 51%, 3) Return on Equity (ROE) 62,2 %. Adapun Faktor-faktor yang mempengaruh Manajemen Inventory Terhadap Peninngkatan Profitabilitas, sebesar 55%
SIMULASI DAN PERBANDINGAN KINERJA OSPF (OPEN SHORTEST PATH FIRST) DAN EIGRP (ENHANCED INTERIOR GATEWAY ROUTING PROTOCOL) MENGGUNAKAN CISCO PACKET TRACER (STUDI KASUS : SMK NEGERI 8 PALEMBANG)
Authors: Muhammad Kevin Al Kautsar  , Tamsir Ariyadi
Published: February 2025

Penelitian ini bertujuan untuk menganalisis dan membandingkan kinerja protokol routing dinamis OSPF (Open Shortest Path First) dan EIGRP (Enhanced Interior Gateway Routing Protocol) dalam pengelolaan jaringan komputer, menggunakan simulasi Cisco Packet Tracer pada studi kasus jaringan SMK Negeri 8 Palembang. Evaluasi dilakukan berdasarkan parameter utama seperti convergence time, throughput, dan delay. Hasil menunjukkan bahwa OSPF lebih stabil pada jaringan skala besar dengan banyak node, sementara EIGRP unggul di lingkungan dengan kebutuhan bandwidth rendah. Dengan demikian, pemilihan protokol routing perlu disesuaikan dengan kebutuhan spesifik jaringan.
PERANCANGAN TOPOLOGI JARINGAN BERBASIS OSPF DI SMA N 4 METRO LAMPUNG MENGGUNAKAN CISCO PACKET TRACER
Authors: Wildan Maula  , Tamsir Ariyadi
Published: February 2025

Penelitian ini bertujuan merancang topologi jaringan berbasis Open Shortest Path First (OSPF) di SMA Negeri 4 Metro Lampung menggunakan Cisco Packet Tracer. Permasalahan utama yang dihadapi adalah konektivitas yang lambat, pengelolaan perangkat yang tidak efisien, serta pengaturan lalu lintas data yang kurang optimal. Untuk mengatasi hal tersebut, penelitian ini menggunakan metode Network Development Life Cycle (NDLC), yang mencakup analisis kebutuhan, desain topologi, simulasi prototipe, dan evaluasi performa jaringan. Protokol OSPF dipilih karena kemampuannya dalam mengoptimalkan jalur pengiriman data, mendukung segmentasi jaringan, dan menyesuaikan jalur secara dinamis ketika terjadi perubahan dalam jaringan. Hasil simulasi menggunakan Cisco Packet Tracer menunjukkan bahwa penerapan OSPF dapat meningkatkan kinerja jaringan, mempercepat akses data, dan memastikan stabilitas konektivitas di seluruh area sekolah. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan jaringan yang efisien, aman, dan scalable di lingkungan pendidikan, serta menjadi acuan bagi institusi pendidikan lain dalam merancang infrastruktur jaringan yang lebih baik.
Flexible Decision Modelling for the Reverse Logistics System: A Value-Added MOORA Method Approach to Alternative
Authors: Navath Suryakiran
Published: February 2025

Any strategy for recovering products should strategically take into consideration the fact that inverse manufacturing is always a better alternative to collection centers. Typically, these findings are characterized as multidimensional, trans disciplinary, complicated, and unstructured. Correctly installing reverse logistics systems, naturally, operational costs are decreased and customer loyalty is increased as a result of the reuse or reproduction of specific parts. With a follow-up interview to provide survey data, the main objective of this research is to analyze reverse logistics practices in this industry. The objective of this study is to identify the best inventory regulations for a reverse logistics system using a particular system. Over a particular planning horizon, it is thought that the rate of return on commodities consumed is a known continuous function. The foundation of the MOORA approach is theory in this article A multi-criteria decision-making (MCDM) model is what we suggest. The suggested method aids in creating adaptable revenue plans that are successful and efficient dependent on a number of variables. Businesses also conduct this analysis. Building new reprocessing facilities or making better use of the existing facility are tools for strategic decision-making. Given that some parts can be reused or remanufactured, it is not unexpected that well managed reverse logistics systems can boost customer loyalty and reduce operating expenses. For companies with quick product life cycles, like those in the mobile phone industry, this is crucial. The main goal of this study is to present the findings of a pilot survey and follow-up interviews that were done to look into the reverse logistics practices in this industry. Design, technique, and approach – A questionnaire survey was given to the industrial participants, and follow-up interviews were conducted with the respondents. Results - The industry needs reverse logistics systems, but their relative lack of relevance in comparison to other problems continues to be a significant roadblock to their implementation.
Data Engineering At Scale: Streaming Analytics With Cloud And Apache Spark
Authors: Pendyala Santhosh Kumar
Published: February 2025

This research delves into the deployment and efficacy of an AI-powered decision engine within the intricate domain of retail banking, with a particular emphasis on optimizing credit card approval mechanisms. In an era where financial institutions face mounting pressures to balance operational efficiency with meticulous risk mitigation, the study underscores the escalating demand for systems that marry precision with automation.What renders this investigation particularly compelling is its exhaustive exploration of how artificial intelligence can revolutionize conventional banking frameworks. By integrating diverse decision-making criteria into a cohesive system, the study highlights transformative potential. A vivid illustration is provided through a case study at a Bank, where the implementation of an AI-driven decision engine not only expedited credit card approvals but also catalyzed measurable gains in operational efficiency and revenue streams. This juxtaposition of granular detail with broad strategic insights underscores the profound implications of such technological integration.The research methodology employs the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to evaluate credit card applications based on six key criteria: income level, credit score, employment stability, existing debt, recent credit inquiries, and age. The study analyzes a dataset of five alternatives using weighted normalization and ideal solution comparison techniques to determine optimal credit approval decisions.Results demonstrate that the AI-driven system achieved a 20-40% improvement in operational efficiency and a 60% reduction in decision-making time. The TOPSIS analysis revealed clear differentiation among applicants, with the highest-performing candidate achieving a close coefficient value of 0.85835, significantly outperforming other alternatives. The implementation also led to a 98% reduction in security incidents and generated an additional $3 million in annual revenue.The results underscore that the integration of an AI-driven framework with the TOPSIS method delivers an intricate yet robust mechanism for evaluating credit card applications. Notably, the leading applicant secured a closeness coefficient of 0.85835, a figure that vividly highlights the system’s precision in distinguishing applicants with stronger and weaker financial credentials. This accomplishment not only underscores the viability of AI-powered decision-making engines but also reveals their potential to revolutionize conventional banking processes. By weaving advanced algorithms into legacy systems, financial institutions can not only elevate the accuracy of credit assessments but also streamline operational workflows and refine the overall customer experience, thus creating a multifaceted value proposition.
PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING DALAM MENINGKATKAN KETERAMPILAN MENULIS TEKS BERITA PADA PESERTA DIDIK KELAS VII SMP
Authors: Chodijah Siti , Ekowati Ainiyah , Maryani Santi
Published: February 2025

Model pembelajaran Problem Based Learning merupakan model pembelajaran yang menuntut peserta didik mandiri dan mampu memecahkan masalah secara berkelompok. Penelitian ini bertujuan untuk mengetahui peningkatan model Problem Based Learning terhadap keterampilan menulis teks berita peserta didik kelas VII SMP PGRI 1 Ciawi. Metode yang digunakan yaitu eksperimen. Teknik pengumpulan data yang digunakan yaitu tes, angket, dan observasi. Populasi dalam penelitian ini yaitu kelas VII SMP PGRI 1 Ciawi berjumlah 160 peserta didik. Sampel dalam penelitian ini sebanyak 64 peserta didik yaitu kelas VII-E berjumlah 32 peserta didik sebagai kelas eksperimen dan kelas VII-A berjumlah 32 peserta didik sebagai kelas kontrol. Hasil penelitian ini menunjukkan bahwa adanya peningkatan saat menerapkan model Problem Based Learning. Hal tersebut dilihat dari rata-rata kelas eksperimen pada pretest adalah 48,43 persentase 48% dan mengalami peningkatan pada nilai posttest menjadi 87 persentase 87%. Hasil nilai pretest pada kelas kontrol 41 persentase 41% dan mendapat nilai posttest 80 persentase 80%. Berdasarkan hasil hitung yang dilakukan dengan melihat perbandingan hasil belajar pada kelas eksperimen dan kelas kontrol dengan menggunakan rumus t-tes diperoleh ttabel taraf signifikan 1% sebesar 2,38 serta ttabel taraf signifikan 5% sebesar 1,67. Dengan begitu, thitung lebih besar dibandingkan dengan ttabel dan dapat dikatakan signifikan karena ttabel
Phát triển các DNA mã vạch đặc trưng để giám định loài Nghiến gân ba (Excentrodendron tonkinensis) tại Thái Nguyên
Authors: Bích Hồng Hà , Thị Hoàn Dương , Thế Hưởng Nguyễn , Thị Huyền Nguyễn , Lê Huệ Anh Lê , Vũ Văn Thông Vũ
Published: February 2025

Nghiến gân ba (Excentrodendron tonkinensis) là cây gỗ lớn có giá trị kinh tế cao, thân gỗ dùng trong xây dựng, chế biến các sản phẩm đồ gia dụng cao cấp, đồ thủ công mỹ nghệ. Than trắng (Binchotan) sản xuất từ cành Nghiến gân ba là một trong những loại than có giá trị xuất khẩu cao. Tuy có khu phân bố rộng, nhưng bị khai thác rất mạnh ngay cả tại các khu bảo tồn thiên nhiên hay rừng quốc gia, số cá thể trưởng thành đã bị chặt phá chiếm hơn 70%. Vì vậy, loài này đang đứng trước nguy cơ bị tuyệt chủng ngoài thiên nhiên và cần được bảo tồn để phát triển trở lại. Trong nghiên cứu này, trình tự DNA mã vạch của các gen rbcL, trnH-psbA và ITS đã được sử dụng để đánh giá khả năng giám định loài Nghiến gân ba tại một số địa điểm thuộc tỉnh Thái Nguyên. Trình tự các gen rbcL và trnH-psbA có mức độ tương đồng rất cao (100%) ở tất cả 20 mẫu Nghiến gân ba nghiên cứu, còn trình tự gen ITS cho thấy sự sai khác tại 20 vị trí nucleotide tương ứng với 7 nhóm trình tự của các mẫu. Cả ba trình tự đều cho thấy khả năng giám định loài tương đối cao (từ 99,38% đến 100%) và theo thứ tự sắp xếp như sau: trnH-psbA > rbcL > ITS. Trình tự nucleotide của các DNA mã vạch này ở loài Nghiến gân ba đã được đăng ký thành công trên GenBank và là cơ sở dữ liệu DNA để ứng dụng trong công tác giám định loài này tại Việt Nam.
Đánh giá hiệu quả vận hành mô hình liên thông thuế điện tử trong công tác cấp giấy chứng nhận quyền sử dụng đất tại huyện Nhơn Trạch, tỉnh Đồng Nai
Authors: Trương Đỗ Thuỳ Linh  , Thái Bảo Trân  , Đỗ Thị Tám  , Tạ Minh Ngọc  , Phạm Anh Tuấn
Published: February 2025

Nghiên cứu nhằm đánh giá thực trạng và hiệu quả vận hành mô hình liên thông thuế (LTT) điện tử trong công tác cấp giấy chứng nhận (GCN) quyền sử dụng đất trên địa bàn huyện Nhơn Trạch, tỉnh Đồng Nai, từ đó đề xuất giải pháp hoàn thiện mô hình này tại địa phương theo đúng quy định hiện hành. Các phương pháp sử dụng là: điều tra thứ cấp, điều tra sơ cấp, thang đo Likert 5 mức, phần mềm quản lý đất đai DongNaiLIS, DNeGov Framework 2.0 và Hệ quản trị cơ sở dữ liệu (CSDL) Oracle. Kết quả nghiên cứu cho thấy số lượng hồ sơ trễ hạn, không đạt là 4,75% và số lượng hồ sơ trước hạn và đúng hạn đạt 95,25%. Cán bộ công chức đánh giá hiệu quả mô hình LTT điện tử với 19/20 tiêu chí ở mức tốt. Người dân đánh giá hiệu quả mô hình LTT điện tử với 14/15 tiêu chí ở mức tốt. Mô hình còn tồn tại một số hạn chế về chức năng của các phần mềm và quá trình trao đổi thông tin giữa các cơ quan còn chưa đảm bảo. Từ đó đề xuất giải pháp hoàn thiện và nâng cao hiệu quả vận hành mô hình LTT điện tử, đó là: giải pháp về công nghệ, giải pháp nguồn nhân lực và giải pháp tài chính.