bluuebunny/crossref_metadata_2025 huggingface dataset:
Promoting Access to Education in South Africa: A Sequential Reflection on a specific case
Authors: Sefoka Isaiah Mmatipe
Published: November 2024

The South African educational sector and the learners continues to witness restricted access due to deleterious conduct of school management personnel such as school principals and or teachers. This remains a pervasive problem despite the provisions of section 29 of the 1996 Constitution, which provides for the right to access education. Learners are still denied access to education and educational institutions and this problem escalate unabated by those entrusted with responsibilities to promote access and protect learners such as school principals and teachers. Looking into the case of Moko and other predecessor cases reviewed in this study, the paper argue that there is a need to promote access and improve awareness interventions in order to enlighten those entrusted with the responsibilities to combat any conduct aimed at devaluating access to education.
Presenting a Model for the Evaluation of the Quality of e-learning at Payam Noor University
Authors: Zamani Roodsari Sedighe
Published: November 2024

The current study aims to design a quality evaluation model of the electronic education system at Payam Noor University by applying a mixed methodology. The statistical population of the qualitative section includes twelve professors, researchers, and experts in the field of e-learning, who were selected by selective sampling. The conceptual model of the research was collected after conducting in-depth semi-structured interviews. The quantitative data based on a questionnaire designed by the researcher was collected from 274 professors and students with experience teaching or studying in the electronic education system of Payam Noor University. The data was analyzed using the structural equation modeling method in PLS3 software. The research results show that quality is a concept consisting of four categories behavioral, scientific, cognitive ability, and virtual learning experience. The study’ findings also reveal that cultural, pedagogical, learner, communication, infrastructural, and institutional factors affect the quality of Payam Noor University's electronic education system. Also, the results show that these characteristics will help universities achieve the four outcomes of competitiveness, job opportunities, economy, and reputation by establishing a quality education system. The ideal model for evaluating the quality of e-learning at Payam Noor University is a process approach in which the three dimensions of factors, quality indicators, and outputs are examined and measured. In other words, electronic education is successful when it can create a valuable experience of virtual education while empowering the learners scientifically, behaviorally, and cognitively to let all the stakeholders of higher education benefit from a valuable electronic education.
Barreiras à higiene das mãos num serviço de urgência segundo os profissionais de saúde
Authors: Silva Filomena , Costa Pedro , Braga Fátima , Martins Silvana
Published: November 2024

Enquadramento: a higienização das mãos é considerada a medida mais simples e efetiva na redução de infeções associadas aos cuidados de saúde. Objetivos: analisar a perceção dos profissionais de saúde de um serviço de urgência acerca das barreiras às boas práticas de higienização das mãos. Metodologia: estudo quantitativo, descritivo, correlacional e transversal, desenvolvido num serviço de urgência médico-cirúrgica em Portugal. Recolha de dados com recurso a um questionário de caracterização sociodemográfico e à aplicação da escala “Barreiras à Adesão à Higiene das Mãos”. Participaram no estudo 153 profissionais de saúde. No tratamento dos dados foram utilizadas medidas de tendência central, medidas de dispersão, correlações, estudos da fiabilidade e teste de diferenças de médias. O estudo obteve parecer favorável por parte da Comissão de Ética da Unidade de Saúde. Resultados: a Avaliação & Feedback é a barreira mais valorizada, enquanto a Formação & Treino foi a menos relevante enquanto barreira à higienização das mãos. Constatou-se diferenças estatisticamente significativas em todas as variáveis sociodemográficas, com exceção do sexo. Conclusão: o conhecimento das barreiras às práticas de higienização das mãos permite identificar fragilidades. O envolvimento da liderança com a equipa é decisivo para a mudança de comportamentos.
An Effective Prevention Approach against ARP Cache Poisoning Attacks in MikroTik-based Networks
Authors: Suethanuwong Ekarin
Published: November 2024

Nowadays, leading manufacturers of enterprise-grade networking devices offer the dynamic ARP inspection (DAI) feature in their Ethernet Switches to detect and prevent ARP cache poisoning attacks from malicious hosts. However, MikroTik Ethernet switches do not yet support this feature. Within MikroTik-based networks, three potential approaches exist to prevent ARP cache poisoning attacks, each with drawbacks. This paper proposes an innovative approach called Gateway-controlled ARP (GCA) to prevent ARP cache poisoning attacks on a router-on-a-stick (RoaS) network using MikroTik networking devices, where a single router performs inter-VLAN routing through one physical interface. With this approach, all Ethernet switches are configured to forward ARP messages from hosts directly to the router for inspection and handling. A RouterOS script based on the GCA approach was implemented and executed on the router to handle all incoming ARP requests from any host in all VLANs, ensuring all hosts receive legitimate ARP responses from the router. This approach can effectively prevent spoofed ARP packets sent by malicious attackers. This approach was tested and evaluated on an actual RoaS network, focusing on processing time, CPU Load, and response time. The evaluation results show that the approach effectively prevents ARP cache poisoning attacks.
Ensemble Transfer Learning for Image Classification
Authors: Sarkar Nayan Kumar , Singh Moirangthem Marjit , Nandi Utpal , Mandal Jyotsna Kumar
Published: November 2024

The deep learning (DL) techniques used for image classification might not deliver the desired level of classification accuracy as some features belonging to some class of a dataset are missed during feature extraction. The ensemble learning (EL) based model improves classification accuracy by combining the strengths of individual classifiers. As a result, those features that were missed during feature extraction by a specific DL technique will be taken care of by another DL technique in an ensemble DL approach. In this paper, averaging EL (AENet), weighted averaging EL (WAENet), and stacking EL (StackedNet) approaches are proposed, considering the DenseNet201, EcientNetB0, and ResNetRS101 as base models. The predictions of the base models are averaged to generate the AENet. The WAENet is constructed by assigning weights to each base model based on their prediction and then taking their average. Similarly, the Stacked-Net is developed by considering the DenseNet201, EcientNetB0, and ResNetRS101 as base-learners and ResNetRS101 as meta-learner. Analysed performance of the considered pre-trained base models and the developed EL models on the standard and application-specific datasets such as MiniImageNet, CIFAR10, CIFAR100, Plant Village (PV), Tomato, Covid-19 and 9IndianFood. 80% of the datasets were used to train and 20% to test the base and proposed models. The models are trained for an epoch of 30, considering a learning rate of 0.001 and adam optimizer. The stackedNet delivered better results than others.
An Experimental Study on Concrete Strength Optimization with Surkhi as an Eco-Friendly Sand Substitute
Authors: Kandel Milan , Ghimire Sandhya , Bhatta Nikita , Poudel Bijaya , Adhikari Isha , Acharya Aarti , Yadav Ajay
Published: November 2024

Concrete is a widely used construction material, with sand as key component. However, excessive extraction of sand has led to a significant environmental consequences, including erosion, ecological imbalance, habitat destruction, and water quality issues. This study aims to develop an economical and sustainable alternative to traditional sand-based concrete while maintaining its structural integrity. It explores the potential of using Surkhi (a waste product from burnt clay bricks) as a partial replacement of sand in concrete. For this study, 120 concrete cube samples were prepared in the laboratory.Concrete cubes of M20 and M25 grades were prepared using design and nominal mixes, with different proportions of Surkhi (0%, 10%, 20%, 30%, and 40%) and tested to evaluate the workability, cost-effectiveness, and compressive strength. Compressive strength tests were conducted on concrete cubes at 7 and 28 days to investigate their mechanical properties. The results shows that a 10% replacement of sand with Surkhi optimizes the strength and workability of concrete without compromising its performance, thus supporting sustainable construction practices. However, the negative impact in concrete strength due to addition of higher proportions of Surkhi should be carefully considered. Furthermore, a cost analysis indicates that replacing sand with Surkhi can help to reduce the production costs, while promoting its use as an eco-friendly alternative. The findings provides valuable insights into the potential of Surkhi to reduce environmental damage and costs without compromising performance at moderate replacement levels. However, further research is recommended to assess the long-term durability and structural integrity of Surkhi-based concrete in various applications.
A Comprehensive Study on Investment Analysis in a Changing Global Financial Landscape: Trends, Strategies, and Risk Management (2024)
Authors: . Aishwarya
Published: November 2024

Investment analysis is pivotal in understanding economic trends, evaluating securities, and determining the risks and returns associated with various investment avenues. This study builds on the foundational work from 2020, focusing on how global factors like technological advancements, the COVID-19 pandemic, and geopolitical conflicts have shaped investor behaviour. By integrating new data on emerging markets, algorithmic trading, and sustainable investments, we aim to provide a more nuanced understanding of current investment patterns. This paper analyses updated data from 2021 to 2024, offering insights for both individual and institutional investors.
Refining Dijkstra's Algorithm: Employing Smart Solutions for Efficient Waste Management and Pollution Mitigation
Authors: Okwuchukwu Chukwuogo , Mgbeafulike Ike
Published: November 2024

This study explores the application of Dijkstra's algorithm to enhance waste disposal management systems, focusing on optimizing routing for efficient waste disposal. By modeling waste disposal pathways, the research aims to identify the shortest and most cost-effective routes, thereby reducing both pollution and operational costs. The analysis demonstrates that Dijkstra's algorithm can effectively streamline waste collection processes in Abakaliki, Ebonyi State, Nigeria, enabling the waste management board to minimize distance, time, and expenses associated with waste transportation. The developed model is both scalable and adaptable, promoting the integration of Geographic Information Systems (GIS) and real-time data for dynamic route optimization. The findings suggest significant potential for this approach not only in waste management but also in other domains such as traffic management and urban planning. This paper advocates for further exploration of user-friendly interfaces and alert systems to enhance operational efficiency. This research highlights the overall transformative potential of Dijkstra's algorithm in improving the sustainability and effectiveness of municipal services.
Experimental Study and Prospects of Valorization of Jatropha Curcas Seeds into Biodiesel
Authors: Flavie NOVY , Marcellio TOMBOZARA , Tovondrainy NORBERT , John Rigobert ZAONARIVELO , Chysostôme RAMINOSOA
Published: November 2024

Jatropha curcas L. is a promising oilseed plant for biodiesel given its oil content and its tendency to grow in harsh environmental conditions. In this study, we conducted experiments on the valorization of jatropha seeds into biodiesel in order to estimate the key parameters of the process and the properties of the obtained biodiesel. The results revealed that the molar ratio between triglycerides and methanol, catalyst concentration, and reaction temperature played an important role in the diesel yield. The biodiesel produced had physicochemical characteristics in line with international standards for diesel fuels, with combustion properties comparable to those of conventional diesel. This study shed light on the optimization of the process of valorization of jatropha curcas seeds into biodiesel and on the support of the potential as a renewable fuel source.
To the Studies on Pollution of Under Ground Water Mau City
Authors: Yadav Anurag , Chandra A. Vinay , Kumar Praveen
Published: November 2024

The study focuses on the environmental evaluation and classification of the Mau City area, located in the eastern part of Uttar Pradesh, India. The investigation covers an area of approximately 20 km2 and includes a diverse population in terms of socio- economic, cultural, and geographical characteristics. The population data reveals significant growth, with a population increase from 168,716 in 1991 to 2,205,968 in 2011. Animal populations, including cattle and poultry, have also shown an increasing trend from 2018 to 2020. Fertilizer usage data between 2017 and 2020 indicates fluctuations in the consumption of nitrogen, phosphorus, and potassium, demonstrating potential agricultural impacts on the environment. Water quality analysis is a major part of this study, employing various methods to determine salinity, dissolved oxygen, biological oxygen demand (BOD), and chemical oxygen demand (COD). Salinity was measured through titration with silver nitrate, while oxygen levels were analyzed using different methods, including dissolved oxygen (DO) analysis. Results indicate variations in water quality across different sampling sites (S1-S6), with key parameters such as pH, turbidity, temperature, and bacterial contamination being recorded monthly for the years 2019 and 2020.The research also involves the collection and analysis of water samples using various devices, including water samplers, bottom samplers, and biological samplers. Methods such as the EDTA method for water hardness, the gravimetric method for sulfate determination, and the colorimetric analysis for iron and chromium concentrations were utilized to evaluate the pollutants in the water. The study provides critical insights into water quality degradation, highlighting the presence of various pollutants, including nitrates, sulfates, and heavy metals like chromium, copper, and iron.
THE IMPACT OF CHILD MARRIAGE ON THE PSYCHOLOGY OF MINORITY WOMEN IN VIETNAM
Authors: Trang Nguyen Minh , Minh Ngoc Nguyen Thi
Published: November 2024

Child marriage is not only a violation of human rights but also a practice with profound and longlasting consequences for young women’s mental health and emotional well-being. It not only affects to individual but also the whole community in the long term due to negative spill-over effects. This paper explores the psychological impact of child marriage on minority women in Vietnam, a country where early marriage remains prevalent among ethnic minority communities. Through an analysis of cultural, social, and economic factors, the study examines how early marriage subject’s minority women to emotional distress, social isolation, and a lack of educational and personal development opportunities. These factors often lead to anxiety, depression, and long-term trauma. The research has used survey question combining with interview of 10 minority people to find out the main reasons and address the psychological impact of child marriage, which is essential to propose solutions for this issue.
STUDY EXAMINES THE PUBLIC BANKING SECTOR WITH A FOCUS ON THE PRACTICES OF DIGITAL LENDING AND THE ROLE OF MANAGERS WITHIN THIS CONTEXT
Authors: Azizah Liza , Levar Jonny , Hary Susilo Wilhelmus
Published: November 2024

The study of the lending sector, particularly in the context of digital lending, highlights the online credit top-up feature available through various applications. Lending refers to the process of distributing or borrowing funds, wherein customers engage in borrowing activities. Financial institutions, acting as lenders, typically earn profits through interest rates charged on these loans. This manuscript seeks to examine the public banking sector's relationship with digital lending, employing methods grounded in literature reviews and analyses conducted using the NVivo software. The researcher aims to identify key themes and sub-themes, along with their antecedent variables, to evaluate the effectiveness of digital lending practices. Furthermore, it is essential for managers to recognize the numerous factors that influence the enhancement of digital lending within the financial ecosystem.
ACCOUNTING EDUCATION IN INDIA-PROBLEMS AND PROSPECTS
Authors: Kumar Das Dr. Pradip
Published: November 2024

Sociocultural and digital metamorphoses have impressed academics, researchers and professionals to consociate meticulously for imparting cogent accounting education. Accounting education in India is at climax, experiencing legion obstacles yet retaining golden ticket for robust sprouting. This paper bottomed on secondary method approach explores the status quo of accounting education, unearthing basic issues like outmoded curricula, sketchy pragmatic training, industry-academia alienation and a lacuna of accredited pedagogue. Further, it reconnoitres cutting-edge implications and glocalization on accounting profession. Potentialities for amelioration are also examined, escalating the necessity for dynamic curriculum, strengthened industry-academia collaboration, promotion of research, and association of digital techniques in the academic journey to clinch that the motif is venerated by the offspring crying for technology. By encountering the challenges, India can cultivate a hearty accounting education methodology that complies with international standards and outfits students with the dexterity expected for the budding fintech ecosystem.
THE DETERMINANTS OF EFFECTIVE IT GOVERNANCE, CASE OF HIGHER EDUCATION INSTITUTION IN INDONESIA
Authors: Hunneman Taufan , Napitupulu Darmawan , Dewi Isti Riana , Pranata Sudadi
Published: November 2024

This considers points to explore the impacts of an IT steering committee (ITS), involvement of senior management in IT (ISM), and an organizational performance measurement system (OPM) on efficient IT governance (ITG) within the framework of Indonesian higher instruction teach. This study used an online survey with self-administered, quantitatively based questionnaires as its methodology. 123 responders were given the tool, which was made using a Google Form and was intended for those who work in university IT governance. The findings indicate that a successful IT governance framework in HEI is significantly influenced by the IT steering committee and organizational performance measurement system. Nonetheless, senior management's involvement in IT had no effect on efficient IT governance. The study's findings can assist HEI management in determining the variables that affect the implementation of IT governance in an efficient manner.
L’Histoire de l’Espagne à l’épreuve du musée. Les expériences du Museo Nacional Centro de Arte Reina Sofía (2008-2023)
Authors: Morales Nicolas
Published: November 2024

Entre 2008 et 2023, sous la direction Manuel Borja-Villel, le Museo Nacional Centro de Arte Contemporáneo Reina Sofía de Madrid, a cherché à remettre en cause un type de représentation publique de l’histoire, principalement mis en place sous la Transition démocratique espagnole. Promotrice d’une vision historicisante de la collection en décalage avec les directions antérieures qui se sont succédées depuis la création du musée, en 1988-1990, l’équipe de Borja-Villel s’est adossée pour cela à des courants historiographiques émergents à la fin des années 1990 et a cherché à rendre visible des mouvements esthétiques historiques issus des pays du sud, et principalement d’Amérique latine, souvent associés à des mouvements sociaux d’inspiration marxiste, traditionnellement marginalisés par la critique et l’institution muséale. Inspirée des théories de Chantal Mouffe, cette approche envisageait donc de visibiliser des pratiques artistiques radicales, anéanties par un discours transitionnel consensualiste. L’analyse d’une des principales expositions historiques de son mandat, Campo Cerrado. Arte y poder en la posguerra española. 1939-1953, réalisée par l’historienne de l’art María Dolores Jiménez-Blanco, nous permettra de montrer comment l’institution muséale « fait et défait » la représentation publique de l’histoire contemporaine de l’Espagne. Il s’agira de mesurer les limites tangibles de cette démarche et, surtout, la difficulté actuelle à s’extraire d’un récit hérité de l’historiographie franquiste et réassumé pendant la Transition démocratique.
Leveraging ChatGPT for Second Language Writing Feedback and Assessment
Authors: Li Mimi
Published: November 2024

This paper discusses the increasingly prominent role of ChatGPT in providing feedback and assessment for L2 writing in the digital age. It reviews representative studies that address five research strands about the use of ChatGPT in L2 writing contexts. After a critical evaluation of the existing literature, the author extensively explains four innovative sub-topics on leveraging ChatGPT for L2 writing feedback and assessment, drawing on multiple creative projects undertaken by her research team. These include: 1) ChatGPT-student collaboration in the L2 writing process; 2) ChatGPT-supported teacher feedback; 3) collaborative processing of ChatGPT feedback; and 4) the potential of ChatGPT for L2 writing assessment. This paper also addresses the importance of teacher training on the use of GenAI in language and writing instruction.
Exploring Bilingual Dynamics
Authors: Tahir Syeda Rabia
Published: November 2024

This paper delves into the perspectives of students regarding the integration of bilingualism in Islamic Studies (IS) classrooms across English and Arabic medium international schools in Malaysia. Through the analysis of six focus group interviews, themes emerged elucidating the importance and benefits of utilizing both English and Arabic languages in IS education. Participants emphasized the significance of bilingualism for enhanced comprehension, communication, and engagement in IS learning. The findings underscore the necessity of incorporating both languages to cater to the diverse linguistic backgrounds of students and to facilitate a deeper understanding of Islamic teachings.
CoCoSo Technique for Teaching Effectiveness
Authors: Liang Jing
Published: November 2024

University mathematics, as an important core foundational course, is closely related to professional courses and occupies an important position that cannot be underestimated. University mathematics courses focus on cultivating students' abilities such as logical reasoning and abstract thinking, but the current teaching effectiveness of university mathematics courses is not optimistic. The teaching effectiveness evaluation of university mathematics education major is MADM. Currently, the CoCoSo and CRITIC technique was put forward MADM issue. The double-valued neutrosophic sets (DVNSs) are put forward characterizing fuzzy data during the teaching effectiveness evaluation of university mathematics education major. In this study, CRITIC technique was put forward the determination of attribute weights and double-valued neutrosophic number CoCoSo (DVNN-CoCoSo) technique is administrated for MADM. Finally, numerical example for teaching effectiveness evaluation of university mathematics education major is put forward to show the DVNN-CoCoSo technique.
Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy
Authors: Jin Dongling
Published: November 2024

The traditional evaluation mechanism of ideological education in universities faces many challenges. How to improve the quality of knowledge service work in the university and enhance instructors' skill level and effectiveness is the main problem facing the sustainable development of higher education in the new century. This article studies the innovation and expansion of the evaluation and management mechanism for university teachers based on the neural system in order to achieve effective scientific and systematic teaching methods. The experimental results show that the improvement rate of higher education academic performance under neural system learning is 75.12%, which is 17.34% higher than traditional Blended Open Learning(BOP) learning methods. Therefore, the improvement rate using the neural system learning is higher. This article targets different groups responsible for university-level teaching, thereby greatly improving the learning of college students.
Semantic Web-Based Image Super-Resolution for Enhanced Steel Surface Defect Detection
Authors: Hao Chaoyuan , Gu Haolin
Published: November 2024

This study addresses the challenges of steel surface defect detection by introducing the ATG-SRGAN model, which integrates Semantic Web technologies with an Adaptive Transformer and Generation module. By leveraging self-attention mechanisms and residual convolution within the SRGAN framework, the model enhances image resolution, reduces noise, and uncovers finer details, achieving superior PSNR (37.17) and SSIM (0.9590) metrics. Integrated with an improved YOLOv8-ghost-p2 framework, the model also attains a mean Average Precision (mAP) of 81.2 and a recall rate of 76 in defect detection. These results demonstrate the model's potential to significantly improve automated quality control in industrial settings, highlighting the importance of Semantic Web technologies in advancing defect detection methods.
Semantic-Driven Crossmodal Fusion for Multimodal Sentiment Analysis
Authors: Liu Pingshan , Wang Zhaoyang , Huang Fu
Published: November 2024

In multimodal sentiment analysis (MSA), the fusion strategies of multimodal features significantly influence the performance of MSA models. Previous works frequently face challenges in integrating heterogeneous data without fully leveraging the rich semantic content of text, resulting in poor information association. This paper propose an MSA model based on Text-Driven Crossmodal Fusion and Mutual Information Estimation, called TeD-MI, which comprises a Stacked Text-Driven Crossmodal Fusion (STDC) module, which efficiently fusions the three modalities driven by the text modality to optimize fusion feature representation and enhance semantic understanding. Furthermore, TeD-MI designed a mutual information estimation module to achieve the best balance between preserving task-related information and filtering out irrelevant noise information as much as possible. Comprehensive experiments conducted on the CMU-MOSI and CMU-MOSEI datasets demonstrate our proposed model achieves varying degrees of improvement across most evaluation metrics.
Web Semantic-Enhanced Multimodal Sentiment Analysis Using Multilayer Cross-Attention Fusion
Authors: Liu Yong , Yu Shiqiu
Published: November 2024

Aiming at the existing multimodal sentiment analysis approaches, which include inadequate extraction of unimodal features, redundancy of independent modal features, insufficient analysis of semantic correlation between data and insufficient fusion, a Web-Semantic Enhanced Multimodal Sentiment Analysis Using Multilayer Cross-Attention Fusion is proposed. The model utilizes deep learning (including XLNet, ResNeSt, and convolutional neural networks) to extract high-level features from text, audio, and visual modes through self-attention mechanisms, and improves the accuracy of emotion classification through multimodal fusion. The results of experiments demonstrate that the suggested MCFMSA can achieve Acc-2, Acc-3, F1, and MAE values of 89.7%, 85.2%, 89.3%, and 0.466 on the CMU-MOSI dataset, respectively; and on the CMU-MOSEI dataset, Acc-2, Acc-3, F1, and MAE values of 88.7%, 82.5%, 86.5%, and 0.475. All of them are significantly improved compared to several other advanced multimodal sentiment analysis methods, which can enhance the accuracy of sentiment classification.
Global Digital Transformation and New Venture Resilience
Authors: Cui Yingbo , Tang Jingheng , Lu Shan , Wu Jiaxue , Xue Xue , Wu Chia-Huei , Tsai Sangbing
Published: November 2024

In the new situation of building an entrepreneurial ecosystem, faced with the global multi-agent competition of the system, how new ventures should integrate with the system, isomorphism, and use their own advantages to cultivate new venture resilience has become an important global issue. The purpose of this study is to explore the combined impact of digital transformation, entrepreneurial ecological orientation, and organizational structure on the resilience of new ventures. Based on qualitative comparative analysis (QCA), this study systematically explores the significant key conditions and configuration effects that affect the cultivation of new venture resilience. There are four types of configurations that help new ventures to cultivate resilience, namely: strategic change, flexible response, leadership niche and institutional logic. This study explores how these three dimensions interact to achieve high firm resilience, ultimately contributing to the research of resilience from the perspective of the entrepreneurial ecosystem.
Evaluate Multi-Objective Optimization Model for Product Supply Chain Inventory Control Based on Grey Wolf Algorithm
Authors: Zhang Xuan , Li Yinan , Fortes Dilma Janete , Mour Anabela
Published: November 2024

Enterprise supply chain inventory control plays a critical role in modern enterprise management. Yet achieving multi-objective optimization remains challenging. This paper proposes a deep learning integrated model based on grey wolf optimization (GWO-DLIM) aimed at optimizing inventory holding costs, stockout costs, and order costs. The model integrates multi-layer perceptron (MLP), DeBERTa, and GWO, leveraging the powerful predictive and feature extraction capabilities of deep learning models, combined with the global optimization ability of the grey wolf algorithm, to achieve multi-objective optimization. These results demonstrate that the GWO-DLIM model significantly outperforms other comparative models across all metrics, exhibiting lower prediction errors and root mean square errors, as well as higher service levels. This study provides an effective multi-objective optimization solution for supply chain inventory management, holding significant theoretical and practical implications.
Nurse training to enhance adherence counselling for HIV-tuberculosis coinfection in South Africa: Integrative review
Authors: Ticha Victoire , Bimerew Million , Phetlhu Rene D.
Published: November 2024

Background: South Africa has seen strides in reducing HIV and tuberculosis (TB); however, adherence counselling for people living with HIV (PLHIV) coinfected with TB remains a challenge, particularly in specific sub-districts like Cape Town. Understanding the attributes of existing training programmes is crucial.Objectives: This study explored attributes of training programme development for nurses and other health professionals to enhance adherence counselling for PLHIV coinfected with TB in Cape Town.Method: An integrative literature review was conducted in five steps following PRISMA guidelines. Electronic searches encompassed multiple databases: COCHRANE, PsycINFO, PUBMED, ENMBASE, Science Direct, SCOPUS, SocINDEX, Academic Search Complete, Eric, SABINET, Health Resources and World Health Organization Global Health Library Regional Indexes. Inclusion criteria encompassed English language, peer-reviewed full-text studies on training programme development, qualitative and quantitative, published between January 2012 and May 2021. Exclusion criteria included non-English articles, conference proceedings and irrelevant studies. Thematic data analysis synthesised findings.Results: Three main themes emerged: participant identification, key programme content and programme implementation process, crucial for effective training programme development.Conclusion: Identifying participants, defining programme content and outlining implementation processes are pivotal in enhancing nurses’ adherence counselling skills. This approach could stabilise patient treatment adherence, potentially reducing treatment default, loss to follow-up and mortality rates.Contribution: These findings lay the groundwork for developing effective training programmes aimed at improving adherence counselling among nurses.
‘Forget your people and your father’s house’ (Ps 45:11): The Hebrew Bible, marriage rites and spousal abuse in contemporary Ghana
Authors: Mensah Michael K. , Max-Wirth Comfort , Salakpi Alexander
Published: November 2024

Spousal abuse is one of the foremost threats to peaceful coexistence in families the world over. In Ghana, stakeholders, particularly Christian leaders, have raised concerns about the increasing violence associated with spousal abuse, which sometimes results in the death of victims. Although both men and women suffer abuse in marriages, those meted out to women are prevalent. While substantial effort has been made by biblical scholars to discuss these problems in the light of the New Testament teachings on marriage, a gap still remains on what light the Hebrew Bible could shed on these matters. This article, using the distinctive interest approach of African biblical hermeneutics, examines Psalm 45 as a text of Hebrew Poetry intended to accompany the marriage ritual. It argues that the portrayal of the bride and groom, and the admonitions offered in the psalm contain some of the same disturbing elements present in contemporary Ghanaian marriage celebrations, elements that engender spousal abuse. The article proposes both a theological and cultural review of these elements as a way of attenuating their combined negative effect on the marriage institution in contemporary Ghana.Intradisciplinary and/or interdisciplinary implications: This brings African biblical hermeneutics into dialogue with issues in gender studies, World Christianity, Pastoral Theology and the Exegesis of the Hebrew Psalter.
Parenting, family guidance and spiritual education: Proverbs 1:8–9 and its wisdom ethos for children’s moral development
Authors: Boloje Blessing O.
Published: November 2024

This article seeks to provide a wisdom domain moral analysis of Proverbs 1:8–9 on the role of parents in conveying the significance of parental instruction and the development of wisdom in children. As a process through which young individuals acquire and cultivate essential qualities and values that shape their behavior and moral outlook, children character development encompasses various aspects, including moral, social, emotional, and cognitive dimensions, and it is influenced by a range of factors, including familial upbringing, social interactions, cultural influences, education, and personal experiences. Whilst the origin of parents as agents of moral guardian is not explicitly stated in the Hebrew Bible/Old Testament (HB/OT), Proverbs 1:8–9 is one of those key passages whose themes underscore the profound significance of family structure and system, and parental responsibility. The verses highlight the spiritual and moral dimensions of family life, promoting a sense of dignity, submission, and personal development within the context of a supportive family structure. The incisive prescriptions of the text offer a journey into self-understanding, self-development, and self-actualization, by reaffirming the family as a pivotal social institution while balancing the roles and responsibilities of parents and children.Intradisciplinary and/or interdisciplinary implications: This article brings together biblical and theological insights from the parental rhetoric of Proverbs 1:8–9 to bear on and help shape the oversight function of parents as agents of children moral development and healthy family life. The verses bridge spiritual wisdom with scientific understanding, presenting a holistic view of how a child grows intellectually, emotionally, and morally.
The Impact of Animal Flesh Consumption on Human Genetics
Authors: Mishra Vaishnavi H. , Tiwade Yugeshwari R , Noman Obaid
Published: November 2024

The animal flesh has been consumed for millions of years by humans. Although the attention has been increased in recent years on its effect on human genetics, exploring the complex interplay between animal flesh consumption and human genetics sheds light on both potential benefits and risks associated with dietary choices.
Unveiling the Significance of the Androgen Receptor Gene in Disorders of Sex Development
Authors: Maritska Ziske , Saleh M Irsan , Idris Fachmi , Hafy Zen , Pramudhito Didit , Effendi Kemas Yusuf
Published: November 2024

Disorders of sex development (DSD) encompass a range of congenital conditions where the development of chromosomal, gonadal or anatomical sex is atypical. There are many genes associated with DSD, and one of them is the androgen receptor (AR) gene, which plays a pivotal role in normal sex development. Studies reported numerous genetic variations in the AR gene that lead to 46, XY DSD, including androgen insensitivity syndrome and hypospadias. Identifying and understanding the genetic causes of DSD will aid the healthcare providers design a tailored-made management for DSD patients and optimise patients’ quality of life. This narrative review will explore the significance of the AR gene in DSD while discussing DSD in general.
Drug Effects on the Nervous System: Mechanisms and Future Directions in Neuropharmacological Therapy
Authors: Mishra Vaishnavi H , Khade Ajay , Noman Obaid
Published: November 2024

Neuropharmacology explores how drugs influence the nervous system and their potential in treating neurological and psychiatric disorders. This review provides a comprehensive overview of the mechanisms through which various drugs impact neural processes and their therapeutic applications. It covers major drug classes, including antipsychotics, antidepressants, anxiolytics and neuroprotective agents, highlighting their modes of action, efficacy and limitations. Advances in drug development, such as targeted therapies and novel compounds, are discussed about their potential to improve the treatment outcomes for disorders such as schizophrenia, depression, anxiety and neurodegenerative diseases. Understanding these mechanisms is crucial for developing more effective and safer treatments.
Prevalence of Tobacco Use and the Attitude towards Quitting Tobacco Habit amongst Hamals in Navi Mumbai, India – A Cross-sectional Study
Authors: Sharma Aakash , Murthy Naveen Narasimha , Jogi Naval Kant , Singh Jagdish , Dubey Rishee , Tiwari Shraddha
Published: November 2024

Introduction:

As per the World Health Organisation, tobacco tends to be the growing global cause of death (4.9 million people a year) worldwide and also is associated with many fatal diseases. The objective of the study is to determine the prevalence of tobacco use amongst the study group and also to evaluate their attitude towards quitting tobacco habit.

Materials and Methods:

A self-designed structured questionnaire was used by the single-trained examiner for interviewing the participants. Three hundred and six (298 males and 8 females) hamal workers of Navi Mumbai were surveyed after ethical approval by the institution. Data were collected through face-to-face interviews. Data obtained were analysed using the SPSS software version 16 (SPSS < 0.005 considered Inc. Chicago, IL, USA). Descriptive statistics were calculated with P as significant.

Results:

Out of 306 hamals, 245 (80.01%) were using tobacco amongst which 210 (85.7%) consumed on a daily basis and 23 were past tobacco users that is only 7.5% were able to quit. Out of the 268 present and past tobacco users, 134 (50%) tried to quit of which 111 (85%) were unsuccessful and 23 (15%) were successful. 82.5% of current tobacco users expressed a desire to quit but needed help.

Conclusion:

A high prevalence of tobacco consumption was seen amongst the surveyed hamals and most of them need help to quit the habit. Employers, trade associations and worker representatives can work in partnership with their state and local health departments in implementing evidence-based policies and programmes to reduce the prevalence of tobacco use amongst these working population.
Effects of aerobic training on brain architecture, hippocampal volume, cardiorespiratory parameters, and health-related quality of life among patients with schizophrenia: A systematic review
Authors: Sharma Abhishek , Sharma Nidhi , Singh Rahul K. , Chahal Aksh
Published: November 2024

Background:

Schizophrenia is considered to be a condition that usually manifests at any age but commonly seen in young people and is associated with a genetic propensity in brain development.

Aim:

The study explores the impact of aerobic training on brain architecture, hippocampal volume, cardiorespiratory parameters, and quality of life in young individuals with schizophrenia. The investigation focuses on the correlation between genetic predisposition, hippocampal atrophy, and diminished cardiorespiratory fitness, aiming to discern potential benefits of aerobic exercise on both physical and mental health outcomes.

Methods:

A systematic search was conducted in major online databases, such as Cochrane, Embase, PEDro, Web of science and PubMed (Medline). Two authors independently evaluated possibilities of bias, retrieved data and decided which trials should be included in the analysis. Total of 13 published articles (randomized clinical and controlled trials) with 656 patients was included from January 2010 to December 2020.

Results:

Following aerobic exercise training, people with schizophrenia presented with an increased hippocampus volume and enhanced cardiorespiratory endurance (P ˂0.05). Due to a lack of information, we rated the majority of the studies’ risk of bias in relation to random sequence creation, allocation concealment, and selective reporting as uncertain.

Conclusion:

Findings from the present review propose aerobic exercise program as a meaningful therapeutic intervention for schizophrenia patients in terms of maintaining appropriate brain architecture, increasing the hippocampal volume, improving cardiorespiratory parameters and health related quality of life.
Undergraduate psychiatry CBME curriculum revision: The process and the way ahead
Authors: Sethi Sujata , Tekkalaki Bheemsain , Shah Nilima , Smitha CA , Kumar Rajesh
Published: November 2024

Nationa Medical Commission (NMC) had recently undertook the revision of Undergraduate CBME curriculum. the Authors were involved in Psychiatry curriculum revision. In this paper, authors explain the process of revision, the rationale behind the changes made and make specific suggestions for the better implementation of the revised curriculum.
Systems delay in women with breast cancer – A sequential explanatory mixed-methods study from central rural India
Authors: Raut Juhi , Joshi Abhishek , Mudey Abhay
Published: November 2024

ABSTRACT

Background:

Globally, breast cancer is the most common malignant tumor in both developed and developing nations, with an incidence of 2 million cases every year and around 6 lakh deaths. Even after the availability of healthcare facilities, delays in the management of breast cancer are seen in both developed and developing countries.

Objectives:

To assess the patient and system-level delays and to determine the factors that cause the identified delays in women with breast cancer from central rural India.

Methodology:

The present Mixed-method study was conducted in a tertiary care hospital in central rural India among 128 female breast cancer patients. Socio-demographic and clinical information of the patients was summarized using frequency and proportions. Delays were reported using a median number of days and interquartile range. To assess the factors associated with the delays, we used Negative log-binomial regression analysis. Qualitative data analysis was done by manual thematic analysis.

Results:

The mean age of the study participants was 50.54, SD was 10.46, Median was 50, and the Interquartile range (IQR) was 43-58 years. A median patient delay of 45 days, and IQR was 15-120. A median system delay of 19 days and IQR was 7-35 days. We identified seven themes addressing the factors influencing delays at various levels by thematic analysis. Negative log-binomial regression models were built for the association of the socio- demographic and clinical variables with patient and system delays.

Conclusion:

Our study concludes that there is a substantial delay at patient level reporting to healthcare care providers, which needs an increase in awareness levels in the community through dedicated Behavior Change Communication strategies along with addressing identified socio-cultural and economic determinants influencing delay at various levels.
Academic performance of pediatric epileptic patients at King Abdulaziz University Hospital
Authors: Muthaffar Osama Y. , Bakheet Hadeel , AlKhoshi Abdulaziz , Alsaiari Maha , Algarni Saher , Shaheen Abdulaziz , Zuhairy Abdullah
Published: November 2024

ABSTRACT

Background:

Epilepsy is a prevalent neurological condition affecting children worldwide, with a particularly high incidence in Saudi Arabia. Children with epilepsy can experience poor school performance due to cognitive deficits and frequent absences. This study investigates the impact of seizures on school attendance among children with epilepsy.

Methods:

This cross-sectional study was conducted at King Abdulaziz University Hospital (KAUH) in Jeddah, Saudi Arabia, including pediatric epilepsy patients from 2016 to 2022. Data were collected via an online questionnaire and analyzed using IBM SPSS. Factors examined included seizure frequency, medication use, comorbidities, teacher awareness, and absenteeism.

Results:

The study included 207 pediatric epilepsy patients, predominantly Saudi nationals (87%). Most parents had higher education backgrounds (70%). Participants’ mean age was 9.66 years, with 57% diagnosed before the age of 5. Most (45%) patients took daily medication with 57% experiencing no side effects. Over half (56%) of the population reported focus and memory problems, significantly related to age at diagnosis (P < 0.001). Comorbidities were reported by 35%, with a significant relationship to absenteeism (P < 0.01). Teacher awareness was reported in 58% of cases. Regarding absenteeism, over half (57%) were absent fewer than 10 days during the past academic year, with 41% attributing absenteeism to non-seizure reasons. Seizure attacks at home caused 22% of absences. A significant relationship existed between the etiology of absenteeism and seizures (P < 0.001). Bullying at school due to seizures was reported, with a significant relationship to absenteeism (P = 0.02).

Conclusion:

This study highlights the complex relationship between epilepsy, school attendance, and associated factors among pediatric patients in Saudi Arabia, shedding light on the importance of poor academic experience to improve the quality of life for children with epilepsy.