bluuebunny/crossref_metadata_2025 huggingface dataset:
Bibliometric Analysis of the Role of Employee Experience in Driving Digital Innovation
Authors: Judijanto Loso , Aldo Novian , Vandika Arnes Yuli
Published: December 2024

Digital innovation has become a critical driver of organizational transformation in the modern business landscape, and employee experience (EX) plays a pivotal role in facilitating this process. This study employs bibliometric analysis to explore the evolving research landscape on the relationship between EX and digital innovation. Using data from leading academic databases, the analysis identifies key themes, trends, and influential works in the field. Findings highlight the centrality of transformation, performance, and human-centric factors, such as leadership, knowledge sharing, and collaboration, in driving digital innovation. Emerging themes, including sustainability, green innovation, and digital literacy, underscore the shifting priorities in the literature. The study also reveals significant research gaps, including the need for more longitudinal studies, individual-level analyses, and insights from diverse cultural contexts. Practical implications suggest that organizations should adopt a holistic, employee-centric approach to digital strategies, integrating technological advancements with initiatives that enhance engagement, skill development, and sustainability. This study provides a foundation for future research and actionable insights for practitioners aiming to leverage EX for sustainable innovation.
Utilization of Solar Energy in Improving Energy Efficiency of Urban Households: A Bibliometric Review
Authors: Soelistianto Farida Arinie , Triwiyatno Aris , Winardi Bambang , Vandika Arnes Yuli
Published: December 2024

The utilization of solar energy has emerged as a critical solution for improving energy efficiency and achieving sustainability in urban households. This study conducts a bibliometric review to explore the research landscape on solar energy adoption, focusing on technological advancements, socio-economic implications, environmental benefits, and policy frameworks. The analysis identifies key themes such as photovoltaic innovations, smart grid integration, and energy storage technologies, as well as the influence of government incentives and community-based projects on adoption rates. While solar energy offers significant environmental and economic benefits, challenges such as high installation costs, energy variability, and aesthetic concerns remain. The findings highlight the need for interdisciplinary approaches and emerging technologies, including artificial intelligence and decentralized systems, to overcome these barriers. This review provides valuable insights for researchers, policymakers, and stakeholders to advance solar energy utilization and contribute to sustainable urban development.
Social Engineering and Policy Innovation in the Rehabilitation of Drug Addicts: Legislative Insights from the Restorative Justice Model in Indonesia
Authors: Ngaisah Siti , Widoyoko Wredha Danang , Ismail Ismail , Rahmawati Diah Ayu , Haryono Haryono
Published: December 2024

This study examines the integration of social engineering and policy innovation within Indonesia’s legislative framework for drug rehabilitation, focusing on restorative justice principles. Through a juridical analysis of Law No. 35 of 2009 on Narcotics and related policies, the research highlights the shift from punitive measures to rehabilitation-focused approaches. Findings reveal that while legislative provisions align with restorative justice ideals, significant gaps in implementation—such as inadequate rehabilitation infrastructure, social stigma, and weak stakeholder coordination—hinder their effectiveness. Drawing insights from international best practices, the study proposes actionable reforms, including enhanced judicial guidelines, public awareness campaigns, and integrated policy frameworks, to promote a comprehensive and sustainable approach to drug rehabilitation in Indonesia. This research underscores the potential of restorative justice as a transformative tool for addressing drug addiction as a public health and social issue.
Analyzing the Impact of Regional Assets, Dependency, and Debt Financial Ratio on Transparency of Financial Reporting though Online Platforms in Indonesia
Authors: Desrina Desrina , Aprianti Siska , Dwitayanti Yevi
Published: December 2024

Penelitian ini bertujuan untuk menyelidiki secara empiris faktor-faktor yang mempengaruhi pelaporan keuangan internet di Indonesia. variabel independen dalam penelitian ini meliputi Regional Wealth, Regional Dependency, dan Leverage, sedangkan variabel dependen adalah Internet Financial Reporting (IFR). Sampel terdiri dari laporan keuangan dari pemerintah daerah di Indonesia antara tahun 2018 dan 2022. Data yang digunakan adalah data sekunder yang bersumber dari Badan Pemeriksa Keuangan Indonesia dan Badan Pusat Statistik Indonesia. Analisis regresi logistik akan dilakukan dengan menggunakan SPSS versi 25. Hasil penelitian ini mengungkapkan bahwa Aset Daerah tidak memiliki pengaruh yang signifikan terhadap Pelaporan Keuangan Internet, di mana Ketergantungan Daerah dan Rasio Pembiayaan Utang memang berdampak pada Pelaporan Keuangan Internet di pemerintah provinsi Indonesia.
A Bibliometric Study on Digital Entrepreneurship: Mapping the Evolutions and Its Impact on Startups
Authors: Judijanto Loso , Arfiansyah Ferry
Published: December 2024

This study presents a bibliometric analysis of digital entrepreneurship, mapping its evolution, key themes, and impact on startups. Utilizing data from peer-reviewed publications from 2005 to 2025, the research highlights a significant surge in scholarly interest, particularly post-2015, driven by advancements in digital technologies and their implications for entrepreneurship. The analysis identifies central themes such as "digital platforms," "innovation," and "electronic commerce," while also emphasizing the growing importance of digital skills and funding mechanisms like crowdfunding. The geographical distribution of research contributions reveals a global phenomenon, with major insights emerging from countries such as the United States, the United Kingdom, and Australia, alongside rising participation from emerging markets like Vietnam and India. The study underscores the necessity for ongoing research to address the challenges posed by rapid technological change and ethical considerations, while advocating for interdisciplinary collaboration to enrich the understanding of digital entrepreneurship. This research serves as a valuable resource for scholars, practitioners, and policymakers, providing insights into the transformative potential of digital entrepreneurship in today’s economy.
The Effect of Working Capital Management, Leverage Policy, and Liquidity on Financial Performance in Construction Companies in Indonesia
Authors: Judijanto Loso , Ambarwati Retnoning
Published: December 2024

This study examines the impact of capital management, leverage policy, and liquidity on the financial performance of construction companies in Indonesia. A quantitative research approach was utilized, involving 130 construction firms. Data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3) to assess the relationships between variables. Results indicate that effective capital management and prudent leverage policy significantly enhance financial performance, while liquidity demonstrates the strongest positive effect. This highlights the critical role of an integrated financial strategy, particularly in managing liquidity, to navigate cash flow uncertainties and improve profitability. The findings provide practical insights for construction firms in optimizing financial strategies to achieve resilience and sustainable growth.
Effect of Irrigation System, Pesticide Use, and Human Resource Management on Productivity Growth of Oil Palm in Indonesia
Authors: Judijanto Loso , Yumhi Yumhi , Lesmana Tera
Published: December 2024

This study investigates the impact of irrigation systems, pesticide use, and human resource management (HRM) on the productivity growth of oil palm plantations in Indonesia. Utilizing a quantitative approach, data were collected from 120 respondents, representing various plantations, using a Likert scale (1–5). Statistical analysis was conducted using SPSS version 26 to assess the relationships between the independent variables (irrigation systems, pesticide use, and HRM) and the dependent variable (productivity growth). The findings reveal that efficient irrigation practices, responsible pesticide use, and effective HRM significantly contribute to productivity growth. Among these, HRM was found to be the most influential factor. These results highlight the need for plantation managers to prioritize resource management and workforce development to achieve sustainable productivity gains. The study provides valuable insights for enhancing oil palm productivity and promotes the adoption of sustainable practices in Indonesia’s palm oil industry.
Analysis of Productive Waqf Transformation and Cost Efficiency on Health Infrastructure Development in Bogor Regency
Authors: Judijanto Loso , Muhtadi Muhamad Ammar , Lesmana Tera
Published: December 2024

This study explores the transformation of traditional waqf into productive waqf and its role in enhancing cost efficiency for health infrastructure development in Bogor Regency. Using a qualitative approach, the study draws on data from four key informants and document analysis, with findings analyzed through NVivo software. The research highlights how innovative waqf management strategies, such as leasing waqf land and reinvesting revenues, have contributed to sustainable financing of healthcare projects. Despite its potential, challenges such as regulatory constraints, limited management capacity, and cultural perceptions of waqf hinder its full implementation. The study emphasizes the need for regulatory reforms, capacity-building initiatives, and community engagement to optimize the use of productive waqf in public infrastructure. These findings provide valuable insights for policymakers, waqf institutions, and healthcare planners in leveraging Islamic financial instruments for sustainable development.
Analysis of Green Product Innovation and Cleaner Production Technology on Business Sustainability and Competitive Advantage in the Beauty Industry in West Java
Authors: Hendriana Tengku Ine , Novitasari Salwa Aulia , Pahrijal Rival
Published: December 2024

This study examines the impact of Green Product Innovation and Cleaner Production Technology on Business Sustainability and Competitive Advantage in the beauty industry in West Java. As environmental concerns and consumer demand for sustainable products grow, companies are increasingly adopting eco-friendly practices to enhance both their operational sustainability and market position. Using a quantitative research approach, data were collected from 160 beauty firms and analyzed through Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings reveal that Green Product Innovation and Cleaner Production Technology positively influence Business Sustainability, which in turn significantly enhances Competitive Advantage. These results underscore the strategic importance of integrating sustainability practices, highlighting their dual role in promoting environmental responsibility and providing a competitive edge. This study contributes to the literature on sustainability in the beauty industry and offers practical insights for industry practitioners aiming to achieve long-term success in a competitive and eco-conscious market.
Effectiveness of DP3AP2KB Program Services (Women's Empowerment and Child Protection, Population Control and Family Planning Service) in Handling Violence Against Women and Children in Cimahi City
Authors: Nadila Dini , Aswin Aswin
Published: December 2024

In addition to providing services such as public complaints, victim outreach, case management, temporary shelter, mediation, and victim support, the Women's Empowerment and Child Protection Service, Population Control and Family Planning (DP3AP2KB) is a government service unit that offers these services. Children and women who have Cimahi ID cards (or who are domiciled in Cimahi and/or who have experienced gender-based violence and have a Crime Scene (TKP) in the Cimahi City area are eligible to receive free integrated services. This is the mission of the organization. In addition to providing services for victims of physical, psychological, and sexual violence, the organization also provides services for victims of trafficking, pornography, bullying, child labor, and children who are in conflict with the law. The use of violence is one of the acts that constitutes a significant violation of human rights. Specifically, this is due to the fact that acts of violence never reflect the standards and values that are associated with human rights. Consequently, in order to achieve a deterrent effect, those who commit acts of violence should be punished as soon as possible. On purpose, individuals or organizations engage in acts of violence with the intention of oppressing those who are vulnerable in order to ensure that they continue to endure suffering. Depending on the circumstances, this violence may take the form of either physical or psychological aggression. When it comes to acts of physical violence, such as someone hitting or kicking another person, and so on. On the other hand, psychological violence includes things like coercing other people to do things that they do not enjoy. There are impacts that can be harmful to the victim that are associated with both forms. a. physical violence; b. sexual violence; c. economic violence; d. social violence; e. psychological violence; f. domestic neglect; and g. exploitation are all examples of distinct types of violence. Ascertaining the efficacy of the DP3AP2KB Program Service in dealing with acts of violence against women and children, determining how the program can function without any hiccups, identifying the programs that are available, and determining the role that human resources play in the DP3AP2KB program in dealing with acts of violence against women and children were the objectives of this study. Within the scope of this investigation, a qualitative descriptive methodology was utilized. The research was conducted using a qualitative methodology and a descriptive research type technique. The informants needed in this study are the DP3AP2KB office, victims of domestic violence and the community or fostered families of Cimahi City.
TRANSFORMATIVE LEADERSHIP AS A CREATIVE HUMAN RESOURCE DEVELOPMENT MODEL
Authors: Kusmiaji Adelia , Lestari Ajeng Ayu , Khoirunisa Asni , Mausuli Silma , Anwar Syaiful
Published: December 2024

Transformative leadership is a promising paradigm for developing creative human resources. Effective leadership needs to provide direction to all employees in an effort to achieve organizational goals. Transformational leadership plays a crucial role in improving employee performance, it is proven that leaders who have a high transformational attitude will provide a positive example to their employees. This study aims to develop a conceptual theory of transformational leadership as a foundational framework for the development of creative human resources within organizations. This study conducts a comprehensive analysis of various leadership styles, including transformational, transactional, and charismatic leadership, along with the concepts of innovation and creativity. The findings of the study demonstrate that transformational leadership plays a pivotal role in fostering creativity among human resources by emphasizing credibility and the cultivation of novel and unique ideas
Reverse Engineering and its Biomedical Applications
Authors: Chikumba Steadyman
Published: December 2024

In the medical field, doctors and surgeons are
encountered with different patients with different
deformities in their organs. Sometimes the nature
of the deformity needs to be visualised physically
and a model developed to develop the treatment
procedures training and implant development.
Scanning technologies turn physical objects into
meticulously accurate digital models and capture
complex shapes with unparalleled precision. The
digital models are then converted into STL or STP
files for fabrication using rapid prototyping
methods. In this paper the processes of model
development using reverse engineering for
biomedical applications is explained.
Challenges and Opportunities of Developing Countries for Implementation of Emerging ICT Technologies
Authors: Chikumba Steadyman
Published: December 2024

The advances in information and computer technologies (ICT) and its implementation across all sectors of society worldwide is unstoppable and is key to every country’s economic competitiveness, standard of living and ease of doing business. However, most developing countries are agrarian, with the majority of the populations in rural and semi-urban settlements. These communities struggle with high unemployment, income inequality and poor public infrastructure such as transportation, road networks and low level of industrialisation. Most of their industrial activity is primary industries such as farming and mineral extraction. The few industries in operation have outdated equipment with low levels of automation and use of ICT. The use of ICT technology is main found in financial services such as banking and some government services although the use of such technologies is widely applied in telecommunications. There are a number of challenges in the implementation of ICT in terms of scope and reach in many demographic communities. These challenges and opportunities that may exist going forward are discussed in this paper. Strategies to improve sustainable accessibility and resources required and the enabling factors to implementing ICT in manufacturing, commerce and public service delivery in developing countries particularly in Africa are proposed in this paper.
AI-Enhanced STEM Education in Sub-Saharan Africa and Indian Ocean Island Nations using Whatsapp and GPT-4x in Local Languages
Authors: Butgereit Laurie
Published: December 2024

In a 2016 report, the World Bank warned that Sub-Saharan African countries needed to boost performance in STEM subjects in order to become competitive in the global marketplace. The report presented the World Bank’s fears that Sub-Saharan Africa’s economic development is being impeded by the lack of high-quality education especially in STEM subjects. In particular, poor performance in mathematics at both the primary and secondary school levels created barriers to improved economic outcomes.
This paper looks at how the popular WhatsApp chat mobile app (along with web interfaces when WhatsApp is not appropriate) can be linked to OpenAI’s GPT-4 artificial intelligence system to provide tutoring in STEM subjects in a variety of human languages used in Sub-Saharan Africa.
Evaluating Concept Explanations for CNNs Under Adversarial Image Transformations
Authors: Akpudo Ugochukwu Ejike , Gao Yongsheng , Lewis Andrew , Tenagyei Edwin Kwadwo , Liao Yi , Zhou Jun
Published: December 2024

Concept-based explainers for convolutional neural networks (CNNs) provide human-understandable explanations by revealing what the CNN sees, rather than merely indicating where it looked. However, their performance is limited by the reducer at its core and adversarial attacks. Although CNN classification performance may be enhanced by some image transformations in small amounts whereas intense image transformations can cause noticeable variations to CNN predictions, it is uncertain how explainers perform in such cases. This paper investigates the performance of state-of-the-art concept-based explainers at different levels of adversarial attacks for the first time. We achieve this by exploring different image transformations as adversarial attacks, including Gaussian noise, elastic transform, rotation, and contrast on the ILSVRC2012 dataset. Our study shows that image transformation techniques altering only image coordinates have little impact on classifier and explainer performance, whereas methods modifying image pixels, such as elastic transform and contrast, significantly affect performance, akin to introducing Gaussian noise. Our work underscores the significance of scrutinizing explainers during their development and adoption for CNNs.
Enhancing Online Class Engagement through Generative AI: A Research using Microsoft Graph and Gemini APIs
Authors: Langa Makhulu Relebogile , Moeti Michael Nthabiseng
Published: December 2024

The education landscape has undergone a significant transformation, with online learning emerging as the preferred mode of instruction for many students. Remote learning required a variety of digital tools and technologies that not all students and teachers could use. As some students struggled to adjust to an unfamiliar environment, attendance and engagement varied. Various methodologies were employed to enhance student involvement, classified into the domains of Virtual Reality, Augmented Reality, Internet of Things, and Artificial Intelligence (AI). The application of AI in this particular area demonstrated encouraging outcomes compared to other domains. Therefore, this paper incorporates Generative AI to enhance the existing AI literature. Multiple APIs were utilized, and their configuration procedures were thoroughly described. The findings in this paper show that the utilization of Microsoft Graph and Gemini APIs facilitated the gathering of transcripts/recordings and the creation of questions based on the content that was presented. The Streamlit web application employs these questions and presents them to students in order to evaluate their degree of engagement. The aim of this paper is to propose a solution for fostering engagement in online classes by encouraging students to consistently interact with the presented content through generated questions.
Spatio-Temporal Modelling of Road Traffic Fatalities in the Western Cape
Authors: Gool H. , Lindner B. , Burger L.E.
Published: December 2024

A machine learning model capable of predicting the probability of road fatal events in both time and space is developed. By aggregating relevant features of the Western Cape into an H3 grid, the model learns patterns of fatal events. Traditional machine learning and deep learning techniques are employed to understand the relationship between aggregated features and road fatal events. The models are compared against each other and against historical average models currently used in the industry. This study represents the first attempt to use machine learning techniques to model road traffic fatalities in South Africa, specifically in the Western Cape.
Digital Technologies in Intra-African Trade: A Bibliometric Analysis
Authors: Madhav Natasha
Published: December 2024

The 2030 Agenda for Sustainable Development, adopted by the United Nations (UN) in 2015, includes 17 Sustainable Development Goals (SDGs) aimed at addressing global challenges and achieving a better and more sustainable future. Promoting goals 8 and 9 in Africa can significantly benefit intra-African trade where goal 8 is aimed at promoting sustained, inclusive, and sustainable economic growth, within Africa and goal 9 is at promoting inclusive and sustainable industrialization and fostering innovation, enhancing infrastructure and reducing the digital divide. Digital Technologies, inclusive of emerging technologies, have revolutionized global trade and simplified transactions between customers, regardless of geographical location. Emerging Technologies such as blockchain, artificial intelligence (AI), and the Internet of Things (IoT) can further transform digital trade, blockchain, for instance, enhances transparency and security in transactions, while AI and IoT optimise supply chain management. This research aims to explore the effects of digital technologies as applied in intra-African trading. By using a bibliometric analysis, the researcher seeks to understand the existing literature, identify key trends and gaps, and provide valuable insights for optimizing ICT in intra-African trade for sustainable development. The findings show the main themes analysed and recommendations on the digitalization of intra-African trade as well as provide some insights into implications for policy and practice.
A Systematic Review of Cloud-based Mobile Pisciculture Farming Readiness Factors: A Path Towards Alleviating Unemployment in Developing Countries
Authors: Adeyelure Tope Samuel
Published: December 2024

This paper systematically reviews the readiness factors crucial for adopting cloud-based mobile farming IoT systems in the pisciculture sector of developing countries. It explores the readiness factors that must be considered for adopting a cloud-based mobile farming IoT system in the pisciculture sector of developing countries. The study synthesizes findings from over 40 selected
articles, highlighting key factors such as the need for robust technological infrastructure, including reliable internet connectivity and mobile networks. It also underscores the importance of capacity building through education and training for farmers, ensuring they can effectively use these technologies. Institutional support from governments and NGOs, access to funding, and alignment of technologies with local cultures and practices are identified as essential. The study also emphasizes the necessity of developing clear regulatory frameworks to address data security and privacy concerns. This research provides readiness factors that can guide the successful adoption of cloud-based mobile farming IoT systems, which could significantly contribute to economic growth and reduce unemployment in the aquaculture sector of developing countries. Based on the limitations of the methodology adopted in this study, this study proposes that additional research should focus on developing a model based on the identified factors and test the hypothesized theories, as well as scope down into more specific research areas.
A Hybrid Agent-Oriented Stochastic Diffusion Search and Beam Search Architecture
Authors: Dyubele Sithembiso , Coulter Duncan Anthony
Published: December 2024

Various swarm intelligence-based algorithms have been developed and explored over the years. These algorithms include particle swarm optimisation, spider monkey optimisation, artificial bee colony algorithm, ant colony optimisation, and bacterial foraging optimisation, among many others. However, according to the reviewed literature, classical or traditional optimisation methods are confronted with difficulties when scaling up to real-world optimisation problems; therefore, there is a need to develop efficient and robust computational algorithms that can solve problems numerically, irrespective of their sizes. Inspired by natureinspired swarm intelligence algorithms, this study has created a hybrid-based algorithm utilising Stochastic Diffusion Search (SDS) and Beam Search algorithms. In this s ability to operate as a multi-agent population-based global search and utilised to initialise, update, and maintain a list of candidate regions in the search space. In addition, it is responsible for recruiting agents for those regions in the search space. A variation of the knapsack problem was employed to test the created hybrid model. In this problem, constraints were established, as discussed later in the paper (in section 3.5). The results discussed in section 4 indicated that the algorithm found a better solution in the search space. The results also showed a strong and consistent beam after a series of iterations during the simulation. The specific improvements observed with the hybrid algorithm are that, because it is implemented as an actororiented system, it is completely parallelised, every actor is independent of every other actor and can be run automatically, on its own individual green thread but can, in fact, be run on another computer. This parallelisability, composability, and the resulting distributable nature of the new algorithm are the main advantages over the standard implementation of either stochastic diffusion search or beam search, neither of which are parallelised by default. Its implication is based on the fact that the pace of improvement in available computing power has levelled off following several decades of sustained growth characterised by Moore's law. The hybrid algorithm is highly parallelisable, making it easy to take advantage of multiple cores on a single computer or multiple machine instances in a cloud computing scenario. Therefore, this is a modern version of both component algorithms within the proposed hybrid approach as it translates better into environments where it is easier to scale outwards rather than upwards.
A Review of Solutions to Assist Novice Programming Students in Africa
Authors: Mokele Virginia Lindiwe , Kgaphola Potego Maboe , Marebane Senyeki
Published: December 2024

This study explores the landscape of initiatives aimed at supporting novice programming students with a focus on Africa, where challenges in accessing quality instructional materials and resources persist. Drawing from a scoping review methodology, this study analysed 37 articles from various continents to assess the solutions offered and Africa's contribution to the body of literature. The findings revealed a diverse array of solutions, including augmented reality, chatbots, instructional frameworks, educational games, and specialised tools for progress evaluation. While the United States and Japan lead in contributions, Africa shows growing engagement primarily represented by South Africa and Mauritius. However, broader collaboration and inclusivity among researchers from diverse regions have been emphasised to advance the field globally. This study emphasises the importance of addressing the challenges faced by novice programmers through innovative pedagogical strategies and emerging technologies to ensure equitable access to programming education worldwide. Furthermore, this study found that it would be beneficial for these technologies to be adjusted to become compatible with inexpensive mobile devices, enabling engaging experiences even in regions with insufficient infrastructure. Future research should include wider geographical coverage and incorporate qualitative methods to enrich understanding and promote collaborative programming initiatives.
Spiking Neural Network Models Analysis on Field Programmable Gate Arrays
Authors: Koravuna Shamini , Sanaullah Sanaullah , Jungeblut Thorsten , Rückert Ulrich
Published: December 2024

Spiking Neural Networks (SNNs) are a type of neural network designed to replicate biological neural networks more closely by using discrete spikes to transmit information. Unlike traditional etworks, SNNs incorporate time by relying on the precise timing of spikes for neuron-to-neuron communication. This reduces hardware omplexity, as it only requires one-bit logic, making SNNs ideal for hardware integration. This study assesses the performance of several SNN models for hardware implementation, focusing on resource utilization, speed, and power consumption. Verilog was used for the hardware design, and the simulations were run in Vivado. The emulation experiments were conducted on the Basys3 FPGA board to validate our findings. Our analysis indicates that simpler models like Leaky Integrate and Fire (LIF) and Non-linear Integrateand- Fire (NLIF) are highly efficient, with low resource and power requirements, making them suitable for resource-constrained environments. More complex models like Hodgkin-Huxley (HH) and Izhikevich (IZH) provide detailed neuronal dynamics but at a higher resource cost. Our implementations exhibit notable improvements across several metrics compared to previouswork. This analysis equips researchers with the necessary information to make informed decisions about which neuron model best meets their application needs, whether prioritizing speed, efficiency, or biological accuracy.
A new technological approach to the disposal of mining waste in the process of exploitation of metallic mineral raw materials in surface mines
Authors: Kržanović Daniel , Gomilanović Miljan , Jovanović Milenko , Rajković Radmilo , Milutinović Sandra
Published: December 2024

The disposal of mining waste is an indispensable technological operation during the exploitation of mineral raw materials and mining activity. A new technological approach to the disposal of mining waste, which is presented in this paper, predicts that all mining waste generated during the excavation and processing of ore in open pit mines and in flotation is disposed of in integrated tailings dumps. In this way, the construction of a flotation tailings pond is eliminated, i.e., the permanent risk that may arise due to an accident situation for the environment, facilities and population located downstream of the originally planned location of the flotation tailings pond is eliminated
Belt conveyor tunnel support structure
Authors: Živanović Miloš , Miljković Nikola , Stefanović Jelena , Jovanović Nikola , Pavlović Zlatko
Published: December 2024

This paper will cover the Preliminary Design of the by-products transport system after the Ecological reconstruction of the thermal power plant Pljevlja. The 4.5 km belt conveyor long route enters the tunnel at Borovica Lake. Tunnel position is in relation to the route, the cross-section selection, calculation of structural elements and fitting into the ambient unit around the lake are described.
On mathematical analysis of the impact of bilinear therapeutic controls with monolytic vaccination for HBV infection model
Authors: Bassey Bassey Echeng
Published: December 2024

While in acknowledgment of varying existing novel results on control of hepatitis B virus (HBV) dynamic infection, the methodological implementation of bilinear control functions in the presence of designated vaccination has not been explicitly considered. Therefore, the present investigation extending an existing study formulated and redeveloped a 6-dimensional HBV mathematical model that seeks and investigates the mathematical and epidemiological composition of the derived model as well as the methodological behavioral impact of applied bilinear therapeutic control functions and monolytic vaccination. The components of analytic predictions explored differential theory in conjunction with the classical Cauchy-Lipschitz condition. Numerical simulations were conducted using the in-built Runge-Kutta in a Mathcad surface. Results obtained indicated early decline of HBV viral load with intense rejuvenation of the recovered and susceptible state-space, following coherent induced bilinear control functions with designated vaccines. The study is highly recommended for HBV-related cases of co-infectivity.
Conectando competencias digitales y sociales en un marco flexible y adaptativo para docentes de Formación Profesional
Authors: Hernández Serrano María José , Morales Romo Noelia , Gago Rivas Víctor , García Gutiérrez Carmen
Published: December 2024

La Formación Profesional (FP) demanda conocimientos especializados y aplicados al puesto de trabajo, que requieren que sus docentes estén formados en competencias diversas y actualizadas a los cambios digitales. A partir del análisis comparado de los marcos de competencias digitales docentes, generales y específicas de FP, se propone un nuevo marco combinando las competencias digitales y sociales, en el contexto de una investigación fundamentada en un proyecto europeo. Con base en dicho marco se genera un curso de formación flexible y adaptativo en el que participan 171 docentes de FP de España. Se analizan los niveles pre y post de conocimiento y aplicación de las 8 áreas de competencias (5 digitales y 3 socioprofesionales para la digitalidad), junto a la valoración de la utilidad y tiempo empleado en el curso. Los resultados indican que en las competencias sociales se incrementaron los conocimientos (Inteligencia colaborativa y Creatividad) y la mayor aplicación se vinculó a competencias de Evaluación digital, Enseñanza Digital y Trabajo con talentos ocultos. La percepción de utilidad fue elevada en todas las competencias, con brechas en función de la edad de los docentes participantes. La discusión en línea con otros trabajos lleva a enfatizar la flexibilidad y la escalabilidad en marcos de competencias de alfabetización digital. Se concluye con la necesidad de integrar las competencias sociales con las digitales y generar marcos más flexibles que permitan una formación adaptada a las necesidades socioprofesionales diversas de esta etapa.
La brecha digital de género en los estudiantes de grado en varias universidades españolas
Authors: Artiles-Rodríguez Josué , Aguiar-Perera María Victoria , Esteve-González Vanessa , Serrano-Molinero Vanessa
Published: December 2024

La competencia digital del alumnado afecta a aspectos de su vida académica, como el progreso y rendimiento o el acceso a titulaciones. La presente investigación se basa en una metodología cuantitativa de corte descriptivo e inferencial, con un diseño de encuesta con el objetivo de recabar información sobre un grupo inicial de 909 participantes, de diferentes niveles educativos, de los que finalmente se han analizado las respuestas de 725 estudiantes de grado. Los resultados muestran que las mujeres son el grupo que obtiene las calificaciones medias más altas, aunque más de la mitad de los encuestados de ambos géneros se sitúa en una calificación media alta. No se encontraron diferencias significativas en cuanto al análisis de las CC.AA. en función del género. Tampoco se encontraron diferencias cuando se contrastaba el área de conocimiento de la titulación y el género, ni cuando se agrupan las titulaciones según se incluyan en el bloque de materias STEM o no. Aparecen diferencias en algunas de las alfabetizaciones de la competencia digital cuando se tiene en cuenta el género y la nota media. Estos resultados pueden representar un indicio de cambio en la brecha digital identificada a lo largo de los últimos años por diversos autores. Las conclusiones indican que, aunque es necesario reforzar la equidad en la formación de la competencia digital entre géneros, pueden existir más factores que influyan en la percepción que tiene el alumnado sobre su nivel de competencia.
An overview of heat sink technology
Authors: Abbas Ehsan Fadhil
Published: December 2024

A heat sink is a device that helps absorb or dissipate heat from the surrounding area using extended surfaces or fins in various geometries. This technology finds its applications in various thermal applications, including power plants, refrigeration, air conditioning systems, electric and electronic devices, and chemical industries. The most common type of heat sink is a metal device with many cooling fins, known as a fin array. There are two methods used to cool heat sinks: passive and active. Increasing the surface area of the fins' thermal conductivity, or heat transfer coefficient, can enhance the performance of the heat sink. There are various profiles for longitudinal fins, including parabolic, triangular, and rectangular shapes. The most popular profile is the rectangular one, particularly in arrays with multiple fins. The purpose of this study is to review the optimization design of longitudinal rectangular fins for arrays with one or more fins subjected to both natural and forced convection.
Effect of the inner cylinder endwall shape on the stability of Taylor-Couette flow
Authors: Ahmed DAIMALLAH , Mohamed LEBBI
Published: December 2024

The current research aims to study how changing the endwall shape of the inner cylinder affects the appearance of Ekman cells and the onset of Taylor vortices. A two-dimensional numerical method simulates the flow between two concentric cylinders, with the inner cylinder rotating while the outer cylinder and the upper and lower endwalls remain at rest. The method of solving the Navier–Stokes equations for incompressible viscous flows is provided by the Ansys Fluent software, which is based on the finite volumes method. The geometric parameters, such as the radius ratio (η) and the height ratio (Г), are fixed at η = 0.9 and Г = 9.85, respectively. The working fluid is an aqueous solution (μ = 48 mPa.s, ρ = 1050 kg/m³). The study focuses on modeling four configurations (A, B, C, and D): configuration (A) includes two flat plate endwall, configuration (B) features a hemispherical upper endwall and a flat lower plate endwall, configuration (C) consists of a flat upper endwall and a hemispherical lower endwall, and configuration (D) comprises two hemispherical endwalls. The obtained results indicate that the appearance of Ekman cells and the transition to Taylor vortex flow are specifically delayed for configuration (D). Additionally, the friction coefficient is affected by the modification of the endwalls. Indeed, configuration (D) contributes to a reduction of the skin friction coefficient by approximately 43% at the appearance of Ekman cells, and by 20% near the appearance of Taylor vortices compared to configuration (A).
Hubungan Partisipasi Keluarga dengan Kosakata pada Anak dengan Permasalahan Komunikasi
Authors: Fitria Rahmawati Annisa , Triantoro Aji Pratomo Hafidz , Nugroho Setyadi
Published: December 2024

Background: The role of parents is very important for children, this is because dealing with children with communication problems parents need to know special skills to guide children. Vocabulary is very important and necessary in communicating verbally with others and also the mastery of vocabulary owned by a person also affects the ability to understand something. Objectives: This study aims to provide an overview of the relationship between family participation and vocabulary in children with communication problems in Sukoharjo District. Methods: This study is a quantitative study with a cross sectional study design, involving 30 parent respondents who have children with communication problems at the Sukoharjo Regency Language and Speech Learning Clinic. The data in this study were analysed univariately and bivariately. The statistical test used is using Spearman's Rank test. Results: The results of the analysis test showed =0.001 (Ha accepted) with a correlation coefficient of r=0.566 which shows the relationship between the two variables in the strong category with a positive direction. Conclusion: Based on the results of data analysis, it can be concluded that there is a significant relationship between family participation and vocabulary and further research needs to be done on the relationship between family participation and vocabulary.
Keywords : Communication, Family, Language, Participation, Vocabulary
The Effect of Storytelling on Receptive Language Development in Early Childhood: A Systematic Literature Review
Authors: Dewi Laksmy
Published: December 2024

Background: Early childhood education (PAUD) has an important role in developing children's language skills, both expressive and receptive language. One effective method for improving language development is through storytelling. Storytelling can stimulate children's cognitive and linguistic abilities by providing an in-depth social and emotional context. Objectives: This study aims to how storytelling can be used effectively to improve receptive language development in early childhood. Methods: This research uses a Systematic Literature Review. This research was carried out by collecting and selecting various data from previous studies as well as the results of clinical trials conducted between 2019 and 2024 from the Google Scholar data base. Results: Storytelling that involves two-way interaction and allows children to retell or discuss stories can improve their understanding of language structure and vocabulary. Conclusion: Applying storytelling to young children can improve receptive language skills.
Keywords : Storytelling, Receptive language, Early childhood
DESTILACIÓN POR MEMBRANA Y SU POTENCIAL APLICACIÓN EN SISTEMAS SOLARES DE ENFRIAMIENTO POR ABSORCIÓN INTERMITENTES
Authors: Ibarra-Bahena Jonathan , Dehesa-Carrasco Ulises , Galindo-Luna Yuridiana Rocio , Venegas-Reyes Eduardo , Rivera Gómez-Franco Wilfrido , Cervantes-Rendón Esmeralda , Cervera-Gómez Luis Ernesto
Published: December 2024

La tecnología de enfriamiento por absorción puede utilizar fuentes de calor de provenientes de energías renovables (solar, biomasa o geotermia) o calor de desecho industrial para su funcionamiento. Una etapa dentro de la operación de estos equipos es la desorción, que consiste en la separación del fluido refrigerante de la solución de trabajo. Cuando se utilizan soluciones salinas, este proceso ocurre por ebullición a presiones reducidas en intercambiadores de calor. Una alternativa al proceso convencional de desorción por ebullición es la destilación por membrana. En el presente trabajo se presenta una evaluación experimental de un módulo de membrana que funciona como desorbedor y condensador.Se utilizó la mezcla LiBr/H2O (Bromuro de litio/agua) al 49.7% peso/peso, a una temperatura de 90.2±0.1°C y 3 temperaturas de condensación (45.1±0.1°C, 40.1±0.1°C y 35. ±0.1°C). Se cuantificó la cantidad de fluido refrigerante (agua) que se produjo después de un periodo de operación de 3.5 horas. La cantidad más alta de fluido refrigerante producido fue 6.8 kg, asumiendo 1 m2 de superficie de membrana. Con los datos de la evaluación del desorbedor se dimensionó un sistema solar de 6 colectores con 24.9 m2 de área total con un termotanque de 1500 litros. Las temperaturas calculadas del evaporador del sistema de enfriamiento por absorción intermitente fueron 22.0, 18.0 y 14.0 °C, para cada temperatura de condensación, respectivamente. Estas temperaturas calculadas tienen el potencial de aplicación para la conservación de alimentos y/o acondicionamiento térmico de espacios.
Analysis of the energy and environmental situation and the use of biofuels worldwide
Authors: Iturralde Carrera Luis Angel
Published: December 2024

The manuscript examines the historical interaction between economic and energydevelopment, highlighting its impact on the environment. The importance of energyefficiency and the good use of natural resources are emphasized as solutions toreduce the demand for energy worldwide and the emissions of polluting agents intothe atmosphere. An analysis is made and the decrease in fossil fuel reserves and theincrease in the generation of renewable energy, especially biofuels, are reflected.The cases of Cuba, China, Japan, Mexico, Russia and Zambia are analyzed in terms ofenergy matrices, dependence on fossil fuels and advances in renewable sources,stressing the use of biofuels. The role of biofuels in the energy transition ishighlighted and the question is raised about their feasibility to face currentchallenges.Keywords: biofuels,
How FDI and Oil Prices Affect Sustainable Tourism Developments: Evidence from 24 Asia-Pacific Countries
Authors: Nghiem Hao Quy , Duong Khoa Dang , Pham Tuan Nhat , Yang Yan-Jie
Published: December 2024

This study uniquely estimates how foreign direct investment (FDI) and oil prices influence both short-term and long-term tourism developments using a panel Autoregressive Distributed Lag (ARDL) model. Analyzing a sample of 575 annual observations from 24 Asia-Pacific countries between 1997 and 2020, the study finds that a 1% increase in FDI growth rate leads to a 3.62% short term increase in tourism growth rate. Similarly, a 1% increase in oil price results in a 0.2% increase in tourism growth rate in the current year and 0.14% in the long term. These findings align with existing literature, highlighting the region's advantage in attracting FDI. It is consequently recommended that policymakers establish clear FDI policies for the tourism sector, to improve infrastructure, enhance the competitiveness of local business, and implement macroeconomic policies to manage oil price volatility, promoting sustainable tourism development.