bluuebunny/crossref_metadata_2025 huggingface dataset:
Biomotor Skills in Pencak Silat Extracurricular Students at SMP Negeri 5 Tanjung Selor
Authors:   Physical Education Health and Recreation, Tadulako University, Indonesia, Bulu Baan Addriana , Murtono Tri ,   Physical Education Health and Recreation, Tadulako University, Indonesia, Fadila Larasati Mala ,   Physical Education Health and Recreation, Tadulako University, Indonesia, Purwanto Didik ,   Physical Education Health and Recreation, Tadulako University, Indonesia, Sukrawan Nyoman ,   Physical Education Health and Recreation, Tadulako University, Indonesia, Kungku Christian ,   Physical Education Health and Recreation, Tadulako University, Indonesia
Published: May 2024

In the pencak silat sport, biomotors are really needed to support the required movements. This research aims to determine the biomotor skills of pencak silat extracurricular students at SMP Negeri 5 Tanjung Selor. The type of research used is descriptive research with test and measurement methods. The sample used in this research was 22 students. The data collection technique in this research uses performance tests with biomotor test instruments used, namely 1) speed, 2) strength, 3) flexibility, 4) explosive power, 5) agility, and 6) endurance. The results of the study showed that overall biomotor skills were 1 student or 4.55% in the Very Good category, 5 students or 27.73% were in the Good category, there were 10 students or 45.45% in the Medium category, there were 4 students or 18.18% were in the Poor category, there were 2 students or 9.09% in the Very Poor category. So it can be concluded that the biomotor skills of pencak silat extracurricular students at SMP Negeri 5 Tanjung Selor are in the Medium category, a percentage of 45.45% or 10 students
Factor Affecting Customer Preference to Use Shuttle Bus over High-Speed Train in Indonesia
Authors:   School of Business Management, Institute Technology Bandung, Indonesia, Septianugraha Prima Adiya , Prawiraatmadja Widhyawan ,   School of Business Management, Institute Technology Bandung, Indonesia, Belgiawan Prawira Fajarindra ,   School of Business Management, Institute Technology Bandung, Indonesia
Published: May 2024

This paper investigates the factors affecting customer preference to choose a shuttle bus over a high-speed train (Whoosh) in Indonesia. The study is based on the theory of planned behavior and focuses on customer satisfaction, which is a primary determinant in the selection of public transport. The research collected data through interviews and surveys. The survey gathered information from 105 frequent travelers who choose shuttle bus as their main transportation mode and have experienced using high-speed trains. The findings showed that the factors affecting people to choose shuttle bus over high-speed train are availability, accessibility, duration, and comfort. The study provides insights into understanding customer preferences and helps build efficient strategies based on internal strengths and profitable opportunities.
Role of Sedentary Behavior as a Risk Factor for Hypertension and Obesity
Authors:   Nursing Department, Universitas Muhammadiyah Gombong, Kebumen, Central Java, Indonesia, 54412, Widyaswara Suwaryo Putra Agina , Septiani Aldila ,   Nursing Department, Universitas Muhammadiyah Gombong, Kebumen, Central Java, Indonesia, 54412, Waladani Barkah ,   Nursing Department, Universitas Muhammadiyah Gombong, Kebumen, Central Java, Indonesia, 54412
Published: May 2024

Previous studies have shown that sedentary activity is closely related to an increased risk of hypertension and obesity. However, to understand the relationship between sedentary activity, hypertension, and obesity more deeply, this study involves further analysis. This study aimed to evaluate the relationship between sedentary activity and the risk of hypertension and obesity. This research is a quantitative study using an observational design, through a prospective cohort approach. Sedentary activity was measured using the Adolescent Sedentary Activity Questionnaire (ASAQ). The correlation between sedentary activity and the risk of hypertension and obesity was analyzed using the Spearman Rank correlation method. Sedentary activity becomes a risk factor for hypertension and obesity with a moderate correlation level (r=0.416). High levels of sedentary activity significantly increase the risk of hypertension. This study confirms the significant relationship between sedentary activity and the risk of hypertension and obesity. High levels of sedentary activity increase the risk of hypertension significantly. Therefore, it is recommended to encourage an active lifestyle and reduce sedentary activity to prevent hypertension and obesity.
Article RETRACTED due to manipulation by the authors Injury Risk Analysis of Soccer Academy Students: A Review of Functional Movement Screen Scores and Demographic Data
Authors: Anam Khoiril , Setiowati Anies , Nurrachmad Limpad , Indardi Nanang , Azmi Dina Aprilia Nur , Aditia Eva Ayu , Irawan Fajar Awang , Susanto Nugroho , Latino Francesca , Tafuri Francesco , Pavlović Ratko , Setyawan Hendra , Kozina Zhanneta
Published: May 2024

The intense daily activities of students at the SPSS soccer academy can lead to excessive fatigue, which can decrease physical quality and cause injury. This study aims to analyze the level of injury risk of soccer academy students by reviewing FMS scores and demographic data. This study employed a descriptive observational research method. Research data were collected using tests and measurements. Seventy-two male soccer academy students participated in this study with the following details: mean age 15±2.1 years, BMI 19.8±2.1 kg/m², and TD 1.2±0.1 years. The data were obtained from the FMS instrument and height and weight tests. They were then analyzed using descriptive statistics. The results of the FMS score showed that subjects aged 14-17 years were most at risk of injury in the moderate category. In terms of BMI,  the FMS scores showed that subjects at a high risk of injury were one in the underweight category, nine in the normal weight category, and one in the obesity grade 1 category. This study concludes that, based on demographic data, SPSS academy students in the age group of 14 years are more likely to experience injuries than students in the age group of 16 and 17 years. Furthermore,  it is concluded that SPSS academy students with an average BMI are in the normal weight category, with SPSS academy student subjects having a moderate risk of injury. Based on the length of training, most SPSS academy students have 1-3 years, with the most risk of injury in the moderate risk category. Future research is expected to choose research subjects with BMI in the obese category and from various other age groups.
Keywords: Sport Injury, FMS, BMI, Training, Soccer Academy, Football, Sports Medicine.
Diagnostic accuracy of artificial intelligence versus manual detection in marginal bone loss around fixed semicolon. a systematic review
Authors: Admin  , Syeda Abeerah Tanveer  , Bibi Fatima  , Robia Ghafoor
Published: May 2024

Objectives: The aim of the review is to evaluate the existing precision of artificial intelligence (AI) in detecting Marginal Bone Loss (MBL) around prosthetic crowns using 2-Dimentional radiographs. It also summarises the recent advances and future challenges associated to their clinical application. Methodology: A literature survey of electronic databases was conducted in November 2023 to recognize the relevant articles. MeSH terms/keywords were used to search (“panoramic” OR “pantomogram” OR “orthopantomogram” OR “opg” OR “periapical”) AND (“artificial intelligence” OR “deep” OR “machine” OR “automated” OR “learning”) AND (“periodontal bone loss”) AND (“prosthetic crown”) in PubMed database, SCOPUS, COCHRANE library, EMBASE, CINAHL and Science Direct. Results: The searches identified 49 relevant articles, of them 5 articles met the inclusion criteria were included. The outcomes measured were sensitivity, specificity and accuracy of AI models versus manual detection in panoramic and intraoral radiographs. Few studies reported no significant difference between AI and manual detection, whereas majority demonstrated the superior ability of AI in detecting MBL.
Conclusion: AI models show promising accuracy in analysing complex datasets and generate accurate predictions in the MBL around fixed prosthesis. However, these models are still in the developmental phase. Therefore, it is crucial to assess the effectiveness and reliability of these models before recommending their use in clinical practice.
Keywords: Artificial Intelligence, Alveolar Bone Loss, Reproducibility, Electronics, Prostheses, Implants, Bibliometrics, Machine learning, Prosthetic crown, Panoramic.
Big surgeons don’t need big incisions: Minimally invasive surgery and use of robotics in Otolaryngology: A Narrative Review
Authors: Huzaifa Moiz Hussain  , Shabbir Akhtar
Published: May 2024

Minimally invasive surgery (MIS) and robotics have revolutionized the field of Otolaryngology. MIS and robotics have reshaped traditional otolaryngological practices, offering patients a multitude of benefits. Reduced incision sizes and tissue manipulation minimize postoperative pain and discomfort, while also improving cosmetic outcomes. MIS has facilitated enhanced visualization and access to intricate anatomical structures, enabling the treatment of previously inaccessible lesions. MIS procedures also offer shorter hospital stays, reduced blood loss, and faster healing times whilst enhancing patient satisfaction and overall quality of life The ongoing progress in minimally invasive approaches solidifies their role as a cornerstone in modern Otolaryngology, and surgeons navigating this transformative landscape must embrace the learning curve associated with these advanced techniques, recognizing the potential for improved patient outcomes. This article explores the transformative impact of MIS and robotics on the diverse branches of Otolaryngology, highlighting the technological advancements that have enabled these techniques to flourish.
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Artificial intelligence-powered optimization of KI-67 assessment in breast cancer: enhancing precision and workflow efficiency. a literature review
Authors: Mehwish Mooghal  , Saba Anjum  , Wajiha Khan  , Hassan Tariq  , Amna Babar  , Lubna Mushtaq Vohra
Published: May 2024

Breast Cancer (BC) has evolved from traditional morphological analysis to molecular profiling, identifying new subtypes. Ki-67, a prognostic biomarker, helps classify subtypes and guide chemotherapy decisions. This review explores how artificial intelligence (AI) can optimize Ki-67 assessment, improving precision and workflow efficiency in BC management. The study presents a critical analysis of the current state of AI-powered Ki-67 assessment. Results demonstrate high agreement between AI and standard Ki-67 assessment methods highlighting AI's potential as an auxiliary tool for pathologists. Despite these advancements, the review acknowledges limitations such as the restricted timeframe and diverse study designs, emphasizing the need for further research to address these concerns. In conclusion, AI holds promise in enhancing Ki-67 assessment's precision and workflow efficiency in BC diagnosis. While challenges persist, the integration of AI can revolutionize BC care, making it more accessible and precise, even in resource-limited settings.
Keywords: Artificial Intelligence, Ki-67 Antigen, Prognosis, Pathologists, Breast Cancer
A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan
Authors: Nadeem Ahmed Siddiqui  , Muhammad Anees  , Fareed Shaikh  , Zia Ur Rehman
Published: May 2024

This study focuses on the current applications, potential, and challenges to Artificial Intelligence (AI) integration in vascular surgery with specific emphasis on its relevance in Pakistan. Despite the benefits of AI in vascular surgery, there is a substantial gap in its adoption in Pakistan compared to global standards. In our context with limited resources and a scarcity of vascular surgeons, AI can serve as a promising solution. It can enhance healthcare accessibility, improve diagnostic accuracy, and alleviate the workload on vascular surgeons. However, hurdles including the absence of a comprehensive vascular surgery database, a shortage of AI experts, and potential algorithmic biases pose significant challenges to AI implementation. Despite these obstacles, the study underscores the imperative for continued research, collaborative efforts, and investments to unlock the full potential of AI and elevate vascular healthcare standards in Pakistan.
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Determination of the timing for thoracic imaging prior to pulmonary metastasectomy: an analysis on surgical planning and lesion detection
Authors: Buz Mesut , Kahraman Selime , Çimenoğlu Berk , Doğruyol Talha , Özdemir Attila , Demirhan Recep
Published: May 2024

Aims: The aim of this study is to reveal the relationship between the timing of thoracic computed tomography (CT) imaging conducted prior to surgery and the pre-surgical period in patients planned for pulmonary metastasectomy (PM), and to determine a safe pre-surgical timing for thoracic CT.
Methods: This study is a retrospective cohort study examining the data of patients who underwent pulmonary metastasectomy (PM). The research includes 96 patients who underwent PM between January 2017 and July 2022. Patients’ demographic data, primary malignancy diagnoses, type of operation, sizes of masses requiring anatomical resection, the number of lesions detected in thoracic CT, the number of lesions identified during surgery, and the timing of thoracic tomography were recorded.
The timing of thoracic CT imaging was compared with the number of lesions detected preoperatively and postoperatively.
Results: The study included 96 patients, comprising 49 females and 47 males. The most common primary pathological diagnosis was colon cancer at 36.5%, followed by breast cancer at 12.5%. 66.6% of the patients were operated on with thoracotomy, 29.1% with video-assisted thoracoscopic surgery (VATS), and 4.2% with rethoracotomy. The average number of lesions detected in preoperative thoracic tomography was 1.67±0.96, while the average number of lesions detected during surgery was 2.03±1.41.
In patient groups where thoracic CT was performed 10 days or less before the operation, no significant difference was found between the number of lesions detected during surgery and the number of lesions in the CT. However, in patients where thoracic CT was performed more than 10 days before the operation, the number of lesions detected during surgery was significantly higher than the number of lesions detected in the CT.
Conclusion: In this research, it was concluded that for patients planned for PM, repeating thoracic CT after the 10th day following the initial detection of metastases in the pre-surgical phase may contribute to the detection of more lesions.
Entecavir induced gynecomastia- Triggering factor or coincidence?
Authors: Tanoğlu Alpaslan , Yeniçeri Murat
Published: May 2024

Entecavir is an important nucleoside analogue that plays a pivotal role in the treatment of Hepatitis B infection. In this case report, it was aimed to present a case regarding bilateral gynecomastia and mastodonia while receiving entecavir treatment.
Analysing Different Risk Management Approaches and Their Effectiveness in Enhancing Supply Chain Resilience
Authors: Hajarath Krishna , Vummadi Jayapal
Published: May 2024

Purpose: This paper aims to review various risk management strategies as well as measure its capability as an instrument to strengthen the chain resilience in the backdrop of the present-day economic environment.
Methodology: The paper utilizes well-known literature review techniques to gather and analyze the strategies including diversification, collaboration, technology adoption, and contingency planning that not only avoid supply chain risks but also create resiliency in organizations. It is focused on the root causes, effects, and aftermath of supply chain disruptions; the potential solutions to counter these problems are also evaluation by this process.
Findings: The study points out that the traditional risk management approaches are not enough, and suggests implementing the techniques such as mapping of the supply chain, supplier diversification and investment in digital technologies like block chain, cloud computing and cyber security. These approaches aid in boosting the supply chain resilience by providing transparency, enabling backup inventory management, and improving collaboration and efficiency within the supply chain operations.
Unique Contribution to Theory, Practice and Policy: The study complements the existing body of knowledge by offering a detailed overview of risk management strategies that can be implemented for the purpose of supply chain resilience. It provides with concrete suggestions on issues of diversity, the use of new technologies, and of coordination to strengthen the chains of supply against disruptions. Furthermore, the research calls for policy intervention to enable the utilization of the above-discussed strategies and increase supply chain resilience at a broader level as well.
Analysis of Intellectual Intelligence (IQ) and Emotional Intelligence (EQ) on Employee Performance with Spiritual Intelligence (SQ) as a mediating variable
Authors: Alpisarrin Alpisarrin , Panorama Maya , Maftukhatusolikhah Maftukhatusolikhah
Published: May 2024

This research starts from the problem of whether Intellectual Intelligence (IQ) and Emotional Intelligence (EQ) affect employee performance with Spiritual Intelligence (SQ) as a mediating variable. This research aims to determine and analyze the influence of Intellectual Intelligence (IQ) and Emotional Intelligence (EQ) on employee performance with Spiritual Intelligence (SQ) as a mediating variable. This type of research is quantitative research with correlational problem construction. This quantitative research takes the form of numbers and is analyzed using statistics. The population in this study were employees of the distribution department of PT Saribumi Sriguna Putra, Palembang City, PT Sriguna Patra Niaga, and PT Graha Patra Saribumi in 2023, totaling 105 people. The sample in this study was taken using a saturated sampling technique, namely a sample determination technique when all members are used as samples. Thus, the sample in this study was taken equal to the population, namely 105 people. The data analysis technique in this research uses the SPSS application. factors such as intellectual intelligence, emotional intelligence and spiritual intelligence affect the creation of employee performance, and spiritual intelligence is able to mediate between intellectual intelligence factors, emotional intelligence and employee performance. the findings in this study are that this research is expected to be a view for company owners to pay more attention to factors to improve maximum employee performance.
Cumulative sentences to improve writing skills
Authors: Ахмадалиева Дилрабо
Published: May 2024

The article discusses some difficulties encountered in teaching and learning writing. Writing is challenging for many students, and it requires a good understanding of sentence structure and often calls for extensive research to express ideas effectively. The paper proposes some writing activities that focus on cumulative sentences to help students become more aware of descriptive sentences.
The importance of inclusive instruction in teaching students with special needs
Authors: Базарбаева Гульпаршин
Published: May 2024

Teaching is incredible experience that is full of bright, pleasant and mostly difficult situations with your learners. While teaching teachers can face different type of students: shy, sociable, funny, hard-working, lazy and etc. Every student needs individual attention from teachers to develop their knowledge. However, there is particular group of students who need a very special attention and strategy to teach. Not all students are similar, some students suffer from physical and physiological disabilities in their auditory, speech act skills. We should keep in mind that these dysfunctions do not affect their intellect at all, but it can somehow disturb their learning. These very learners sometimes need different technique, more time, more attention to grasp the topic and learn a language.
Types of activities for english lessons of higher medical institutes
Authors: Дастенова Фируза
Published: May 2024

In order to develop medical students ’ foreign language knowledge a teacher should conduct lessons using the materials which include four aspects of the language: reading, listening, speaking and writing. This article deals with several ways of holding such kind of lessons.
Cleft Sentences In Spoken Language
Authors: Джумамбетова Дилфуза
Published: May 2024

In this article, we will explore the concept of cleft sentences, a complex speaking structure commonly used in English. Cleft sentences are a powerful tool for emphasizing information or correcting someone in a sentence. Understanding the different types of cleft sentences and their variations will help you master this aspect of English speaking.
Enhancing Intermediate Learners’ Proficiency Through Authentic Materials
Authors: Курбанбаев Дж , Хабибуллаева Б
Published: May 2024

English for Specific Purposes (ESP) courses aim to equip learners with language skills relevant to their specific field or discipline. One effective approach to teaching ESP is through the use of authentic materials, which are resources created for native speakers in real-life contexts. This article explores the benefits of incorporating authentic materials in teaching intermediate ESP learners. It examines how authentic materials can enhance language proficiency, promote learner engagement, and foster cultural understanding. Furthermore, it provides practical strategies for effectively integrating authentic materials into ESP instruction.
Prologue - Science and Policing Make for Better Justice
Authors:   Policing at Canterbury Christ Church University, UK, Funicelli Michel
Published: May 2024

I am impassioned by the search of truth in criminal justice. I suppose a 30 plus year long career in law enforcement promotes these ideals
RNF138/NARF is a Cell Cycle Regulated E3 Ligase that Poly-ubiquitinates G2E3
Authors:   Department of Cell, Developmental, and Integrative Biology, University of Alabama at  Birmingham, AL, USA, S. Brooks William , Banerjee Sami ,   Department of Medicine, University of Alabama at Birmingham, AL, USA, F. Crawford David ,   Department of Pediatrics, University of Oklahoma Health Science Center, OK, USA
Published: May 2024

G2E3 is a G2 /M-specific gene that is down-regulated in response to DNA damage. It is highly regulated at both the transcriptional and post-translational levels. It plays a critical role in early embryonic development, as murine G2E3-deficient blastula undergoes a massive apoptosis. To identify proteins interacting with G2E3 a yeast two-hybrid was conducted, which revealed eight putative G2E3-binding proteins including two ubiquitin ligases (RNF138/NARF, DZIP3/hRUL138), a proteasomal subunit (PSMB4), and one cell cycle regulatory molecule (INCA1). We examined a possible functional interaction between G2E3 and the putative oncogene RNF138/ NARF, demonstrating that RNF138/NARF has a subcellular localization and cell cycle regulated expression pattern similar to that of G2E3. The regions of each protein necessary for interaction were mapped to the C-terminus of RNF138/NARF and the N-terminus of G2E3. Furthermore, we demonstrated that RNF138/NARF catalyzes the poly-ubiquitination of G2E3 in vitro and in vivo. Ubiquitination of G2E3 by RNF138/ NARF provides another mechanism for the regulation of this protein. Because depletion of either G2E3 or RNF138/NARF causes cellular apoptosis, this functional interaction may be important in the regulation of cell death.
Design, Synthesis and Biological Evaluation of Hybrid C3-Quinazolinone linked β-carboline Conjugates as DNA Intercalative Topoisomerase I Inhibitors
Authors:   Fluoro-Argochemicals, CSIR-Indian Institute of Chemical Technology, Hyderabad, India, Tangella Yellaiah , Sathish Manda ,   Centro de Investigación de Estudios Avanzados del Maule, Vicerrectoría de Investigación y Postgrado, Universidad Católica del Maule, Talca, Chile, Kadagathur Manasa ,   Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and  Research, Hyderabad, India, Nagesh Narayana ,   Medical Biotechnology Complex, ANNEXE-II, CSIR-Centre for Cellular and Molecular  Biology, Uppal Road, Hyderabad, India, Nagendra Babu Bathini ,   Fluoro-Argochemicals, CSIR-Indian Institute of Chemical Technology, Hyderabad, India
Published: May 2024

In the present study, a series of new C3-quinazolinone linked β-carboline conjugates were synthesized successfully and evaluated as DNA intercalative topo I inhibitors. It was found that most of the compounds showed good cytotoxic activity, in particular, compounds 10a, 10e and 10u are exhibited potent cytotoxicity against all the tested four cell lines with IC50 values are ranging from 1.19±0.33 to 5.37±0.28 µM. topo I mediated DNA relaxation assay results showed that these compounds could significantly inhibit the activity of topo I. The structure-activity relationship studies indicate the importance of the substitutions at C1 and C3 positions of the β-carboline moiety. These compounds induced cell cycle arrest in G2/M phase. Further, spectroscopic studies substantiated the biological activities as well as the nature of interactions with the DNA. The intercalative mode of binding with the DNA was established by several biophysical studies like UV- visible, fluorescence and circular dichroism and viscosity. The results obtained from biophysical studies were further supported by the molecular docking studies.
Paulo Freire and Frantz Fanon: Two Faces of Emancipation
Authors: Lamboloto Lj Zaphan Butiong
Published: May 2024

In Paulo Freire’s emancipatory model, violence as a mode of struggle is rejected. The revolutionary movement should never appropriate violence in pursuing prospects of emancipation. For Freire, an authentic struggle for emancipation and autonomy does not utilize the praxis of the oppressor which is mainly characterized by dehumanization and violence. This emancipatory model also contends that the oppressor should also be subjected to emancipation as they have also been dehumanized in their subjection of the oppressed. Thus, liberation does not only pursue the humanization of the oppressed but also their oppressors. It follows, therefore, that physical violence is out of the picture as the revolutionary movement recognizes the humanity of the oppressed and her oppressor. Therefore, the movement headed by the oppressed does not operate within the praxis of their oppressors which, for Freire, is a negation of humanity. An alternative position, however, contends that violence is an indispensable aspect of the emancipatory movement. In fact, violence is not only a consequence of the conflict but, for Frantz Fanon, the overarching dynamic over the colonized order. An oppressive paradigm which, for Fanon, could only be overturned by counter-violence. The dismantlement of the colonial order implies the destruction of the “colonist’s sector” which in so doing, necessitates the utilization of violence in the struggle. This work, therefore, challenges the pacificist inclination of Freirean emancipatory model through the lenses of Fanon’s Wretched of the Earth. This paper argues that though ideal emancipatory politics should be discursive and dialogical which Freire advocates, violence remain to be an indispensable aspect of liberation and resistance. In order to ground these arguments, this paper will appropriate the case of the revolutionary movement of the Katipunan vis-à-vis the Reformists.
The Effect of Taxpayer Awareness on Tax Compliance in Rwanda (Case Study: Kigali Sector 2022)
Authors: NIYORUGIRA Eliezer
Published: May 2024

The study titled “The Effect of Taxpayer Education on Tax Compliance in Rwanda (Case Study: Kigali Sector 2022)” aims to investigate the influence of taxpayer education, media impact, and tax system fairness on tax compliance. The specific objectives include ascertaining the effect of tax education on tax-related compliance, examining the impact of the media on tax compliance, and assessing the influence of tax system fairness on tax compliance using SPSS Version 22. The findings of the study reveal important insights. The coefficient analysis indicates that a one-unit change in variable (Tax education), representing taxpayer education, leads to a significant increase in the log-odds of tax compliance by 0.694. Similarly, variable (media), denoting media impact, shows a 0.313 rise in the log-odds of tax compliance for a one-unit change, and this effect remains statistically significant. Variable (4), representing tax system fairness, demonstrates a 0.473 increase in the log-odds of tax compliance for every one-unit change, and this relationship is statistically significant. Furthermore, variable (8), related to tax information from other taxpayers, exhibits a 0.246 increase in the log-odds of tax compliance for a one-unit change, proving statistically significant. Variable (9), representing information from the radio, although not statistically significant, still indicates an important impact with a p-value of 0. 044.In summary, the study provides empirical evidence supporting the positive impact of taxpayer education, media influence, and tax system fairness on tax compliance in the context of Kigali Sector, Rwanda. These findings contribute to the existing literature on tax compliance behavior and offer valuable insights for policymakers and tax authorities.
The Lived Experiences of Students with Disabilities in Institutions of Higher Learning: A Phenomenological Case Study
Authors: Charles Chipika Govero , Davie Mapfunde , Farai Chinangure
Published: May 2024

The aim of this qualitative study was to explore and provide an in-depth description of the lived experiences of students with disabilities in institutions of higher learning in Masvingo Province, Zimbabwe. Three instruments were used to collect data: individual interviews, follow-up discussions and none-participant observations. The data which was elicited from conveniently sampled12 students with disabilities at an institution that had a niche in inclusive education was analyzed thematically. The study established that the self-esteem and self-image of students living with disabilities was very low because of what they experienced. The treatment they received from the university staff, the public and fellow students was hostile and disrespectful. Students with disabilities were given assistance as the last option in many situations. The unfriendly experiences have resulted in them internalizing negative perceptions of themselves as human beings and have no hope for a better future. The study recommended engagement and dialogue between the institution and the students to address concerns raised. The students with disabilities need constant support to assist them to manage stress and to cope with traumatic experiences they often face. The study recommended that to cater for disability the institution is to attend to disabling environmental barriers, hostile social attitudes and other exclusionary practices perpetuated.
A INFLUÊNCIA DA ATIVIDADE FÍSICA NA PREVENÇÃO DA SARCOPENIA: UMA REVISÃO BIBLIOGRÁFICA
Authors: Mainardo Rodrigues Bezerra Lucas , Souza do Vale Eise , Melhorin Borlini Sariza , Ludgero Ribeiro Júnior Vicente , Araújo Guimarães Fernandes Luiz Fernando , Moreira Bento Diego , Silvestre de Castro Matthew , Araújo Costa Lima Daniel , De Souza Oliveira Kniphoff Iasmim , De Souza Oliveira Luana
Published: May 2024

A sarcopenia, caracterizada pela perda progressiva e generalizada da massa muscular esquelética e força, tem se destacado como um dos principais fatores de risco para a redução da qualidade de vida e aumento da morbidade e mortalidade em idosos. Objetivo: Esta revisão bibliográfica tem como objetivo analisar a influência da atividade física na prevenção da sarcopenia. Métodos: Esta revisão bibliográfica foi conduzida por meio de uma busca na literatura científica publicada nos últimos 20 anos, abrangendo o período de 2004 a 2024, utilizando critérios de inclusão e exclusão específicos, e as bases de dados eletrônicas: PubMed, Web of Science, Scopus e Google Scholar. Resultados e Discussão: A sarcopenia resulta de uma interação multifatorial que inclui alterações musculares, inflamação crônica, desequilíbrios hormonais e influências ambientais. A prática regular de atividade física, especialmente o treinamento de força e resistência, demonstrou ser eficaz na prevenção da sarcopenia ao promover adaptações musculares benéficas e reduzir a perda muscular relacionada à idade. A integração de atividades físicas na rotina dos idosos também apresenta benefícios indiretos, como melhoria do metabolismo, redução do risco de doenças crônicas e promoção da saúde mental. Conclusão: Compreender os mecanismos da sarcopenia é crucial para o desenvolvimento de estratégias eficazes. A atividade física regular, adaptada às necessidades individuais dos idosos, desempenha um papel fundamental na prevenção da sarcopenia e na promoção da saúde muscular e funcionalidade, destacando a importância de programas de exercícios personalizados e de políticas de saúde que incentivem um estilo de vida ativo na terceira idade.
FAMILY HISTORY OF PSYCHOLOGICAL DISORDERS MODERATES THE ASSOCIATION BETWEEN PRENATAL MATERNAL STRESS AND RISK OF AUTISM
Authors: S GRIFA Associate Professor Dhiba
Published: May 2024

The increase in number of cases with autism spectrum disorder (ASD) requires further investigation to the etiology of it, which is not fully understood. It is suggested that children who are vulnerable to psychological disorders more likely to develop ASD when experience prenatally stress than children who do not. The researcher sought to conduct a natural experiment by collecting data from a sample derived from population lived in a region that experienced number of the worst civil wars in Libya. The sample consisted of 38 parents of children with ASD and 40 parents of typical children living in south Tripoli. These children were in utero during the civil wars that happened in 2011, 2014, and 2019. A case-control study was carried out comparing the two groups in terms of family history of psychological disorders. The child’s sex, parents’ age, and birth complications were controlled. Conditional logistic regression models were utilized to examine whether family history of psychological disorders predicted ASD. Findings from this study indicated that: children with ASD were more likely to have relatives with psychological disorders than those without ASD; the proportion of relatives with psychological disorders was significantly higher among children with ASD than those without ASD; there was significant associations between ASD and parents’, grandparents’, uncles’, aunts’ psychological disorders, having a first-degree relative suffers from a psychological disorder was associated with increase in odds of ASD. ,having second-degree relatives with a psychological disorder was significantly associated with increase odds of ASD, psychological disorders in first degree relatives and second degree relatives had comparable effect on the risk of ASD, when first degree relatives and second degree relatives affected the risk of ASD did not increase compared to the presence of a psychological disorder in either relatives
Aplikasi Absensi Harian Siswa SMA Katolik Saint Pieter Waikabubak Berbasis Web
Authors: Roja Leonardus R , Rangga Andreas Ariyanto , Ledi Dian Fransiska
Published: May 2024

Absensi siswa merupakan kontrol sekolah terhadap siswa-siswa yang kerap membolos sekolah. Absensi siswa juga sangat mempengaruhi kegiatan yang ada di sekolah terutama bagi kelancaran suatu sekolah. Kesalahan dalam melakukan absen dapat sangat mempengaruhi sukses tidaknya suatu sekolah dalam mengolah dan mendidik siswa. Sistem yang digunakan di SMA Katolik Sint Pieter Waikabubak pada proses absensi siswa pada saat ini yaitu siswa datang langsung ke sekolah lalu siswa masuk kelas setelah bel masuk berbunyi, sebelum melaksanakan kegiatan belajar mengajar terlebih dahulu guru mata pelajaran melakukan absensi kepada siswa, proses yang dilakukan adalah guru memanggil nama siswa satu persatu dan siswa menjawab hadir lalu guru menulis hadir di dalam buku agenda atau absensi, namun jika siswa tidak ada maka guru akan menanyakan apakah siswa tersebut mengirimkan surat izin atau tidak, jika tidak ada surat izin maka guru menulis alpa, dalam penginputan absensi siswa secara manual ini dibutuhkan waktu yang relatif lama. Penelitian yang dijalankan ini bertujuan untuk menganalisis dan membuat aplikasi  absensi siswa pada SMA Katolik Sint Pieter Waikabubak yang memudahkan pihak sekolah dalam menginput absensi agar tidak ada terjadinya manipulasi atau kesalahan-kesalahan dalam melakukan absensi. Serta dapat membantu mempermudah dan mempercepat dalam melakukan absen. Dalam perancangan, sistem ini menggunakan metode Object Oriented Analysis Design (OOAD). Dan metode analisis menggunakan PIECES. Hasil dari penelitian ini menunjukkan bahwa sistem ini mampu mengelola proses absensi siswa di SMA Katolik Sint Pieter Waikabubak menggunakan PHP dan MYSQL. Dari penelitian ini dapat disimpulkan bahwa sistem absensi siswa ini dapat memberikan kemudahan bagi sekolah dan siswa dalam melakukan absensi, sistem ini masih sangat jauh dari kata sempurna oleh karena itu penulis menyarankan untuk kedepannya bagi yang berminat untuk mengembangkan sistem ini di masa yang akan datang.
Understanding and Addressing AI Hallucinations in Healthcare and Life Sciences
Authors: Aditya Gadiko
Published: May 2024

Purpose: This paper investigates the phenomenon of "AI hallucinations" in healthcare and life sciences, where large language models (LLMs) produce outputs that, while coherent, are factually incorrect, irrelevant, or misleading. Understanding and mitigating such errors is critical given the high stakes of accurate and reliable information in healthcare and life sciences. We classify hallucinations into three types input-conflicting, context-conflicting, and fact-conflicting and examine their implications through real-world cases.
Methodology: Our methodology combines the Fact Score, Med-HALT, and adversarial testing to evaluate the fidelity of AI outputs. We propose several mitigation strategies, including Retrieval-Augmented Generation (RAG), Chain-of-Verification (CoVe), and Human-in-the-Loop (HITL) systems, to enhance model reliability.
Findings: As artificial intelligence continues to permeate various sectors of society, the issue of hallucinations in AI-generated text poses significant challenges, especially in contexts where precision and reliability are paramount. This paper has delineated the types of hallucinations commonly observed in AI systems input-conflicting, context-conflicting, and fact-conflicting and highlighted their potential to undermine trust and efficacy in critical domains such as healthcare and legal proceedings.
Unique contribution to theory, policy and practice: This study's unique contribution lies in its comprehensive analysis of AI hallucinations' types and impacts and the development of robust controls that advance theoretical understanding, practical application, and policy formulation in AI deployment. These efforts aim to foster safer, more effective AI integration across healthcare and life sciences sectors
The Nature of Moral Realism vs. Anti-Realism and Its Implications for Moral Discourse and Practice
Authors: Nabunya Trycia
Published: May 2024

Purpose: The general objective of this study was to explore the nature of moral realism vs. anti-realism and its implications for moral discourse and practice.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings reveal that there exists a contextual and methodological gap relating to the nature of moral realism vs. anti-realism and its implications for moral discourse and practice. Preliminary empirical review revealed that individuals' beliefs about moral realism vs. anti-realism significantly influenced their moral reasoning and behaviors, with proponents of moral realism exhibiting absolutist moral judgments while those endorsing anti-realism demonstrated greater moral flexibility. Cultural and ideological variations in these beliefs were evident, reflecting diverse societal norms and values. Longitudinal studies revealed the developmental origins of these beliefs, emphasizing the importance of early moral education. Overall, the study highlighted the complex interplay between philosophical perspectives on morality and real-world implications, advocating for informed and culturally sensitive approaches to moral discourse and practice.
Unique Contribution to Theory, Practice and Policy: The Kohlberg's Stages of Moral Development, Social Identity theory and Cultural Relativism may be used to anchor future studies on the nature of moral realism vs. anti-realism. The study provided valuable recommendations for theory, practice, and policy. It contributed to theoretical advancements in moral philosophy by integrating empirical evidence with philosophical insights, thereby refining existing theories and generating new avenues for exploration. The findings had practical implications for educators, policymakers, and practitioners, emphasizing the importance of ethical education, interdisciplinary collaboration, and ethical leadership practices. Policy recommendations highlighted the need for contextually sensitive approaches to addressing ethical issues, while ethical practice emphasized fostering open dialogue and ethical reflexivity in professional settings. The study also identified future research directions, suggesting the importance of longitudinal and interdisciplinary studies to further advance our understanding of morality and ethics.
Keywords: Moral Realism, Anti-Realism, Moral Discourse, Beliefs, Philosophy, Ethics, Interdisciplinary, Collaboration, Ethical Leadership, Professional Practice
Unlocking Inventory Efficiency: Harnessing Machine Learning for Sales Surge Prediction
Authors: Seethapathy Kavitha
Published: May 2024

Purpose: Sales forecasting plays a crucial role in inventory optimization for retail stores, especially during special events such as promotions, advertisements, holiday season, weather, social and economic situations etc. These events drive significant changes in customer buying patterns. Some of these events are captured in the current forecasting models as part of trend, seasonality, and cyclicality. But many times, unexpected local events such as extreme weather conditions, riots, and regional events such as marathons, concerts have a significant impact on sales surges which are usually not captured in the sales forecast. This leads to inventory being out of stock and store managers placing last-minute manual orders. By accurately predicting these sales pattern changes, retailers can make informed decisions, ensuring optimal inventory levels and maximizing profits.
Methodology: In this paper, a data-driven solution was discussed that leverages machine learning models to predict sales pattern changes and surges during local events in a specific geographical location. Web scraping can be used to gather data on local events from a range of online sources, including Google News, local news channels, and social media platforms. By extracting pertinent details about upcoming events, it is possible to compile a thorough database of local happenings.
Findings: Data Analysis of historical sales data mapped to its local events can provide insights on key department-categories where there is a surge in sales. Machine learning models can be used to analyze, experiment and train historical sales data in conjunction with the events data.
Unique contribution to theory, practice and policy: Machine learning models would be trained to capture the complex relationships between different local events and their impact on sales. Therefore the study recommends using the machine learning approaches specified to consider various factors, such as event type, location, duration, and historical sales patterns, our models can effectively predict sales fluctuations during specific events.
Arsenic Adsorption Isotherms of Sediments from Old Mining Area and Their Implications: A Case Study of the Ron Phibun Area, Thailand
Authors: Nookaew Suma , Rattikanukha Chuthamat , Kunchariyakun Kittipong , Siripatana Chairat
Published: May 2024

Although tin mining activities in the southern part of Thailand have been abandoned for more than 40 years, arsenic contamination in old tin-mining areas continues to pose a health risk. Fortunately, natural adsorption of arsenic by sediment has reduced the arsenic concentration in water to the maximum allowable level within a 10-kilometre radius of the mine sources. This article attempts to characterize the arsenic adsorption properties of sediment along a water creek which passes through the old tin-mine areas in Ron Phibun district, Nakhon Si Thammarat province, Thailand, where the contamination has been most severe. It was found that Fe tends to be associated with the adsorption capacity of arsenic in sediment. However, pH 4 and pH 7 did not associate with adsorption capacity. At pH 12, the solubility of arsenic increases, making it less likely to be adsorbed into the sediment and more likely to dissolve in water. For the adsorption isotherms of the sediment, the so-called ‘2-step Langmuir/Freundlich models’, with the advance of switching functions (Logistic or Arctan functions), were proposed. Then, based on the principle of parsimony, a stepwise model reduction approach was used to choose the optimal models. It was found that the isotherms were used successfully to describe the historical arsenic-contamination data of the past 14 years (2005 - 2019) and to predict future trends qualitatively.
HIGHLIGHTS

Two-step Langmuir/Freundlich models with the switching functions were proposed
The historical arsenic-contamination data of the past 14 years (2005 - 2019) was examined
The model described the historical arsenic-contamination data as a function of pH and metal-complex formation in sediment soils successfully

GRAPHICAL ABSTRACT