bluuebunny/crossref_metadata_2025 huggingface dataset:
Forms and effects of verbal bullying: Perceptions of junior high school students in Indonesia
Authors: Maalikih Maulana Danar , Sumarwati  , Rakhmawati Ani
Published: October 2024

One form of bullying that frequently occurs is verbal bullying. Several studies have shown that perpetrators of verbal bullying often do not realize that their actions are categorized as violence, which is why these actions have not received sufficient attention. Therefore, it is important to take steps to stop verbal bullying, one of which is to scientifically explore the utterances categorized as bullying and their effects. This study aims to describe the forms and effects of verbal bullying according to students' perceptions. The research uses a case study approach. The participants were 200 students from public, private, and sports schools in Surakarta. Data were collected through questionnaires and interviews, then analyzed both quantitatively and qualitatively. The results showed that the majority of junior high school students agreed that verbal bullying has negative emotional and psychological impacts. Most students identified words referring to physical deficiencies or body shaming (71%), academic achievement (56%), and family background (57%) as significant forms of bullying. Verbal bullying related to physique and family background was reported as the most hurtful. Approximately 40% of students reported feeling hurt, and 38% felt embarrassed by verbal bullying, which impacted their self-confidence and emotional well-being.
A study of the effect of team diversity on employee innovative behavior: The mediating role of psychological capital
Authors: Pan Feng , Tang SweeMei , Ismail Edora
Published: October 2024

In today's extremely competitive market environment, employee innovative behavior determines the innovation ability of the enterprise, and the innovation ability of the enterprise determines whether the enterprise can survive and develop under brutal market competition; thus, enhancing employee innovative behavior becomes critical for the long-term survival and development of the enterprise.This paper delves into the theoretical mechanisms by which team diversity and psychological capital affect employee innovative behavior. It leverages social identity theory and conservation of resources theory to provide a comprehensive understanding of these research. The study suggests that psychological capital acts as a mediator in this relationship, serving as a key factor that connects the elements of team diversity with the outcomes of employee innovative behavior. To empirically validate the proposed research model, which connects team diversity, psychological capital, and employee innovative behavior, the study gathered data from a national survey, resulting in 387 valid responses. The analysis employed PLS-SEM to conduct reliability and validity assessments, as well as tests for direct and mediating effects. The research results show that team information diversity can directly and significantly affect employee innovative behavior, team underlying diversity does not directly influence employee innovative behavior; team informational diversity significantly impacts employees' self-efficacy, optimism, hope, and resilience, team underlying diversity significantly affects self-efficacy, optimism, and resilience, but not hope; Self-efficacy and hope do not influence employee innovative behavior, resilience and optimism significantly influence employee innovative behavior. optimism and resilience play a partially mediating role between team information diversity and employee innovative behavior; and optimism and resilience play a completely mediating role between team underlying diversity and employee innovative behavior.
The needs analysis in game-based self-directed learning for spatial design on creativity of spatial layout planning, interior decoration design, furnishings design and physical environment design among undergraduate students
Authors: Daouyuan Shen , Hoe Tan Wee , Yan Li , Pratama Hendri
Published: October 2024

This research aims to determine the needs for game-based learning in spatial design among undergraduate students at Suzhou University of Science and Technology in China. Teachers were deliberately selected as respondents and came from various backgrounds as subjects of needs analysis. Semi-structured interviews with three respondents selected through purposive sampling were used to collect data. Qualitative data obtained from interview sessions with teachers were analyzed into certain themes. Based on these findings, researchers categorized them into four themes, namely: (1) use of materials and sources to inspire learning about spatial design; (2) low utilization of game-based approaches; and (3) suitability of play-based activities. The analysis results indicate a lot of potential for developing game-based learning for spatial design so that instructors can actively engage undergraduate students in the subject. In addition to the four acknowledged principles, suggestions and specifics from our discussions with the educators would provide us with important information that we might use to expand the module's content. The module will be planned and constructed using the findings in the next step.
Human activity recognition using smart phone for physical activity analysis
Authors: Sardeshmukh Mhalsakant , Chakkaravarthy Midhun , Shinde Sagar , Chakkaravarthy Divya
Published: October 2024

Human Activity Recognition (HAR) is an active research area that is useful in many applications, such as elderly people monitoring, health parameter analysis, fall detection, video surveillance, etc. There are many challenges in HAR, such as generalized feature extraction, varying background and illumination, etc. The sensor based and image based are two major approaches in HAR. Image based is complex and can be used in the monitoring area only.The sensor based appraches are not user friendly as an individuals need to wear the sensors on the body which is not comfortable. The use of smart phones for HAR is increasing due to advancements in machine learning algorithms. We have proposed a convolutional neural network model for the classification of activities of daily leaving (ADLs) performed by 30 individuals carrying a smartphone. The model consists of two and three dense layers, respectively. We trained the model using 7352 unique samples from the database. We obtained the highest accuracy of 95.02% when testing the result on 2947 samples with 15 epochs. The accuracy and loss plotted is shown in fig 5 a to d which indicates the proper traing of the model. The model is neither overfitted nor underfitted. The hyper-parameter tuning helped in increasing the accuracy. The classification of the physical activities can be and useful inferences can be obtained by analyzing the activities and its time. This will useful in generating the health related alerts to an individual for the activities.
Job satisfaction: A cross sectional study among pharmacists in Kosovo
Authors: Shuleta-Qehaja Selvete , Kelmendi Nita
Published: October 2024

Job satisfaction has a substantial impact on pharmacists' output. When pharmacists are satisfied with their jobs, they are more likely to provide high-quality care to patients. Therefore, the current study aimed to assess job satisfaction among pharmacists in Kosovo. From December 2021 to March 2022, a cross-sectional web-based questionnaire was administered to pharmacists from throughout Kosovo to assess pharmacists' job satisfaction in Kosovo. The data was analyzed using SPSS version 20.0. The Chi-Square test was used to examine connections between variables. For statistical significance, the p values were set up at 0.05. Cronbach's alpha was determined as part of the reliability test, and the outcome was 0.889. In addition, it was conducted a correlation analysis. The total number of returned questionnaires was 460 out of 1350 distributed. There were 444 completed questionnaires (a response rate of 32.9%). The level of satisfaction in the working environment domain was 56.2% (agree and strongly agree). In comparison, the level of satisfaction in the professional interaction domain was 68.9% (agree and strongly agree), and in the incentives and recognition, it was 57.5%. Regarding all three domains, 59.3% of pharmacists were satisfied with their jobs. Low pay (46.2%), limited opportunities for advancement (42.3%), and workload (37.4%) were the most influential aspects of job satisfaction. The results suggest that pharmacists are generally satisfied with their jobs, but some areas need improvement, particularly in terms of pay, opportunities for advancement, and workload. The responsible stakeholders should take into consideration the pharmacists’ concerns presented in the findings of the research.
Exploring evolving H.R. and recruitment strategies in the age of technology advancements based on artificial intelligence
Authors: Gaddi Alok , Kulkarni Prasad , Shetty Sharan Kumar , Birau Ramona , Popescu Virgil , Hiremath G. S.
Published: October 2024

With the advancement of Technology, it has become imperative for H.R. and recruitment strategies to adapt. This paper will highlight the emerging trends in H.R. and Recruitment driven by Technology. One prominent trend in H.R. Technology is the increasing prevalence of artificial intelligence (A.I.). A.I. is already utilized to streamline and automate H.R. processes like resume screening, interview scheduling, and performance reviews. Looking ahead, A.I. is anticipating a significant impact on H.R. by aiding organizations in making better hiring decisions, designing personalized training programs, and fostering more engaging employee experiences. Another notable trend in H.R. Technology revolves around the transition towards cloud-based platforms. These platforms offer advantages over on-premises systems, including scalability, flexibility, and cost-effectiveness. As a result of the various benefits brought by Technology, we would bring about the critical themes in the form of the strategies that the organizations should adopt to enhance their productivity in Recruitment and selection with the help of bibliometric analysis, thematic analysis, ISM (interpretive structuring model) and MICMAC analysis.
A geometric solution to political gerrymandering: A modified convex hull approach in ghana's democracy
Authors: Amoamah Martin Owusu , Dadzie Joseph , Asenso Frederick , Boateng Maxwell , Ackora-Prah Joseph
Published: October 2024

In the realm of Ghanaian politics, gerrymandering is a practice that involves political leaders strategically manipulating the boundaries of voting constituencies to serve their vested interests. This research seeks to address the challenge of gerrymandering in Ghana by introducing a novel mathematical approach, a modified Convex Hull algorithm. The data were collected from the Asunafo North constituency, and the study aims to provide a practical and effective solution to promote electoral fairness, transparency, and democratic integrity in the Ghanaian political system. We develop and implement a modified Convex Hull algorithm, which provides a more accurate and relevant measure of compactness than traditional compactness metrics. The evaluated electoral constituency exhibited reduced susceptibility to gerrymandering, resulting in more equitable representation and a fairer political landscape.
A look at biochemistry learning difficulties in the undergraduate level
Authors: Elhousni Zeinab , Zerhane Rajae , Janati-Idrissi Rachid
Published: October 2024

Learning biochemistry can be a challenge for most university students. They represent a lot of difficulty in studying this module. This is evidenced by numerous failures and a lack of interest in the subject. For them, biochemistry is a dry subject requiring extensive memorization and complex language. They also find it boring. However, biochemistry is a key element in the training of biology students and future teachers of life and earth sciences. It is the basis for understanding the mechanisms of life. It helps students to understand the chemical processes that take place in living beings. The aim of our study is to identify students' difficulties in learning biochemistry, in order to deduce the main causes and factors behind the low proficiency in this subject. For this purpose, we communicated with the undergraduate students at our school using NGT and a questionnaire.  Students attribute their difficulties mainly to the complexity of the subject and the large amount of information that must be assimilated in a limited time. In addition, the problem of the language of instruction as well as the lack of tutorials and practical work can represent additional factors hindering the learning process. The lack of basic knowledge and the classical teaching methods can also be considered sources of difficulty.  At the end of our study, we were able to elucidate the main factors and obstacles that hinder the learning of biochemistry. The students have suggested some solutions including the adoption of new teaching methods promoting active learning, as well as by diversifying the pedagogical supports used in class and the integration of new communication and information technologies (ICT).
Assessment of phytochemical, antioxidant and antibacterial properties of ziziphus lotus leaves extracts
Authors: Yakoubi Nosair El , Ansari Zineb Nejjar El , Ennami Mounia , Benkaddour Rajae , Kbiach Mohammed L'bachir EL , Bounab Loubna , Bouzdoudi Brahim El
Published: October 2024

Herbal medicines are used to treat a variety of chronic and acute diseases with little to no harmful side effects. They have played a significant part in health systems throughout the world. The phytochemical profile, antioxidant activity, and antibacterial activity of different extracts of Ziziphus lotus leaves (ZLL) were the subject of this study. According to the analysis of the extraction yield, the aqueous extract had the highest yield, followed by methanol, ethanol, and last, hexane (p<0.05). Phytochemical analysis of ZLL extracts revealed the presence of several bioactive molecules such as phenolic compounds and alkaloids. Water, methanol 50%, methanol 80%, methanol, ethanol, and hexane are the 6 different solvents which were used in order to evaluate the phytochemical profile as well as the biological activities of ZLL, and whose aqueous extract showed the best results. The aqueous extract showed the highest total contents of phenols, flavonoids, and tannins (120,53± 0. 37 mg GAE/g DM, 60.15 ± 0.06 mg QE/g DM, and 09.41 ± 0.36 mg CE/g DM, respectively), while the hexane extract revealed the lowest contents (20.42 ± 0.50 mg GAE/g DM, 14.45± 0.36 mg QE/g DM, and 04.20 ± 0.17 mg CE/g DM, respectively). By using the DPPH, ABTS, and FRAP methods, ZLL extracts demonstrated considerable antioxidant capacities, with the values IC50=31.20 ±0.69, IC50=61.35±0.30 and IC0.5=23.89±0.80, respectively, and this for the aqueous extract. All of the ZLL extracts, showed antibacterial efficacy against the bacterial strains of Listeria monocytogenes, Escherichia coli, Staphylococcus aureus, and Pseudomonas aeruginosa.
Enhancing Life Skill Progression and Psychological Well-being of Undergraduate Students through AI-driven Recommendation System
Authors: Raj J. Durai , Sathiyan G.
Published: October 2024

Professionals may keep up with changed work settings and difficulties by continuing their education throughout their lives. Given the variety of courses offered, it is critical for professionals to have mechanisms that can connect them to appropriate programs. Although there is little information available regarding how teenagers utilize these courses, smartphone delivered life competency courses are a new and potential approach to support psychological wellness and discourage addiction to substances among young people. This paper explores the integration of AI-driven recommendation systems (AI-RSs) to enhance the mental health and professional skills of undergraduate students. Leveraging machine learning (ML) techniques and ontological frameworks, the proposed system aims to provide personalized recommendations for lifelong learning courses. By understanding individual preferences and learning objectives, the system facilitates the discovery of relevant courses tailored to the unique needs of students. This approach not only supports the continuous development of professional skills but also contributes to promoting mental well-being by fostering a sense of purpose and accomplishment through lifeskills learning. Through this abstract, we delve into the potential of AI-driven technologies to revolutionize education and support the holistic growth of undergraduate students.
Assessing the priority levels of motivational factors for lecturers: A case study at vietnam national university, Hanoi
Authors: Van Luu Huu , Phuong Bui Hong , Nhien Nguyen Duy , Diep Le Thi Hong , Hue Nguyen Thi
Published: October 2024

Creating motivation plays a crucial role in enhancing the job performance of university lecturers. This study aims to assess the motivational factors among lecturers at Vietnam National University, Hanoi. Five factors with 30 sub-factors influencing lecturers' motivation are considered in this study, including: salary and benefits (S_B, including 6 sub-factors), leadership skills (L_S, including 7 sub-factors), training and professional development opportunities (T_D, including 6 sub-factors), working conditions and environment (W_C, including 5 sub-factors), and recognition and rewards for accomplishments (R_R, including 6 sub-factors). This study applies the Analytic Hierarchy Process (AHP) method using a generalized fuzzy set for analysis. The steps of the fuzzy Analytic Hierarchy Process include: determining the comparison matrix of generalized trapezoidal fuzzy numbers, calculating the values of the fuzzy synthetic extents, and defining the weight vector of generalized trapezoidal fuzzy numbers. Data for the study were collected through expert interviews employing a questionnaire. The analysis results indicate that leadership skills and salary and benefits are the most influential factors on lecturers' motivation at Vietnam National University, Hanoi, followed by working conditions and environment, recognition and rewards for accomplishments, and training and professional development opportunities. Based on the analysis results, the study proposes several solutions to create motivation among lecturers at Vietnam National University, Hanoi, including: VNU-Hanoi and its affiliated units should prioritize bolstering the training of lecturer teams, particularly focusing on educational and training management staff. Furthermore, additional resources should be allocated to improve lecturer income, welfare, and rewards, alongside increasing investment and optimizing the utilization of infrastructure and educational materials for teaching and research purposes.
Antibacterial activity of patiwala leaves (Lantana camara) ethanol extract against diabetic ulcers bacteria
Authors: Rosanty Anita , Orno Theosobia Grace , Rantesalu Agnes
Published: October 2024

Diabetic ulcers are serious complications of diabetes mellitus (DM) affecting several individuals around the world. These complications are caused by impaired blood circulation to peripheral tissue and are further exacerbated by infection due to chronic hyperglycemia, leading to tissue death. Several types of bacteria have been reported to cause infection in diabetic ulcers patients, including Staphylococcus aureus, Staphylococcus epidermis, Proteus mirabilis, Proteus vulgaris, Pseudomonas aeruginosa, Klebsiella pneumoniae, and E. coli. This indicates that there is a pressing need to develop herbal products to minimize complications. Therefore, this study aims to determine antibacterial activity of Patiwala leaves (Lantana camara) ethanol extract against bacteria that cause diabetic ulcers. The identification of bioactive compounds from the ethanol extract of patiwala leaves was carried out qualitatively and antibacterial activity using the Kirby Bauer diffusion method in triplicate. The results showed that Patiwala leaves ethanol extract with a concentration of 100 mg/mL had a strong inhibitory power against Staphylococcus aureus, Staphylococcus epidermis, and Pseudomonas aeruginosa, with values of 18 ± 0.00, 19 ± 0.00 and 18 ± 0.00 (p< 0.05), respectively. Klebsiella pneumonia and E. coli bacteria showed strong potential as inhibitors at a concentration of 200 mg/mL, with an average zone of inhibition of 19 ± 0.00 and 20 ± 0.00 (p < 0.05). Meanwhile, Proteus mirabilis and Proteus vulgaris had moderate inhibitory potential ranging from concentrations of 25-200 mg/mL, with an average of 15 ± 0.00 to 16 ± 2.00 (p < 0.05). Based on these results, Patiwala leaves ethanol extract has the potential to be developed as antibacterial in diabetic ulcers.
Indang dance: An innovation of baindang traditional art in Padang Pariaman
Authors: Indrayuda Indrayuda , Samsuddin Mohd. Effindi
Published: October 2024

Indang Dance is one of the innovative dances in Padang Pariaman, originating from the traditional art of Baindang. Despite its cultural significance, little research has been conducted on this dance. This article aimed to determine (i) the form of Indang Dance in Padang Pariaman, and (ii) the audience’s responses to the performance of Indang Dance in Padang Pariaman. The study was conducted using a qualitative method, incorporating both primary and secondary data. The primary data were collected through observations and interviews, while the secondary data were gathered from literature reviews on Minangkabau performing arts. The data were analyzed using aesthetic theory, symbol theory, and reception theory. The results of the research reveal two main findings: (i) the form of Indang Dance is unique compared to other traditional dances in Padang Pariaman, characterized by its distinctive movements, costumes, and music; and (ii) the Indang Dance has received a positive response from audiences in various settings, including ritual activities and traditional ceremonies. It serves not only as a means of socialization for the Padang Pariaman regional development program but also as a form of social entertainment. The dance's ability to engage and captivate audiences highlights its cultural relevance and importance in the region. Through this study, we gain a deeper understanding of the Indang Dance's role in the cultural landscape of Padang Pariaman. The findings underscore the need for further research to explore the nuances of this traditional art form and its impact on the community. By documenting and analyzing the form and reception of Indang Dance, this article contributes to the broader discourse on Minangkabau performing arts and their significance in contemporary cultural practices.
Foreign language teaching modes and adaptive methods in emergency education: Evaluation of first-hand experience
Authors: Lysytska Olena , Mykytiuk Svitlana , Chastnyk Oleksandr , Mykytiuk Serhii
Published: October 2024

Turbulent world events require crisis-sensitive education models that can address new challenges and promote productive learning in extraordinary times. The research aimed to analyze the issue of teaching a foreign language to undergraduate students using intervention techniques in online and offline modes.  The researchers suggested the following responsive and adaptive strategies: the creation of adaptive online learning platforms, the development of a multimedia resources bank and the careful selection of innovative teaching tools capable of addressing both psychological and educational needs. The work in groups of both formats was studied through discussion and survey from the point of view of teachers’ perceptions of positive and negative features, difficulties revealed in the education in emergencies, and the productivity of using specially designed adaptive teaching techniques for coping with them. The findings show that in most aspects teachers have a more positive assessment of ‘live’ language teaching in comparison with the online format. They indicate such benefits as more coordinated work, a collaborative and engaging environment, controllability, and greater motivation. The most effective tools used for developing vocabulary, listening skills, reading skills, and speaking skills were revealed. The final testing results in both online and offline groups were analyzed to study the effectiveness of the employed intervention methods. The study demonstrates that the rigorous instructional design is of vital importance for education in an emergency. Special attention should be given to specific adaptive and responsive intervention technologies aimed at interaction and communication enhancement as well as psychological support of students, the choice of which can be determined by the distinctive features of different teaching formats.
Assessing the impact of motivational factors on the job performance of lecturers at Vietnam National University, Hanoi
Authors: Phuong Bui , Nhien Nguyen Duy , Van Luu Huu , Hoai Nguyen Thi Thu
Published: October 2024

Enhancing the work motivation and job performance of lecturers plays a critical role in elevating teaching quality and enhancing the reputation of universities. This study aims to evaluate work motivation's influence on lecturers' job performance at Vietnam National University, Hanoi (VNU-Hanoi). This study considers five motivational factors, including salary and benefits, leadership competence, training and promotion opportunities, working conditions, and recognition and rewards. Lecturers' job performance is assessed based on teaching outcomes, research outcomes, and contributions to the community. The research surveyed 408 lecturers at VNU-Hanoi using a questionnaire. The structural equation modeling analysis results reveal three motivational factors that impact teaching performance: leadership competence, working conditions, and recognition and rewards. Furthermore, five motivational factors influence research outcomes: salary and benefits, leadership competence, training and advancement opportunities, working conditions, and recognition and rewards. Moreover, two motivational factors affect community activities: leadership competence and working conditions. Additionally, the analysis indicates that research outcomes not only affect teaching performance but also contribute to the community activities of lecturers. Based on these findings, the study proposes several solutions to enhance work motivation and improve the job performance of lecturers at VNU-Hanoi, including: VNU-Hanoi and its constituent units should continue to mobilize and efficiently utilize resources to improve the quantity and quality of lecturers' research outcomes; increase resources to enhance lecturers' income, welfare benefits, and rewards; boost investment and effectively utilize funds in infrastructure and teaching materials to support teaching and research activities; and strengthen the training of lecturers and educational management personnel.
Elementary school teachers candidates’ perceptions of tpack ownership: Teaching assistance program
Authors: Riastini Putu Nanci , Mahayanti Ni Wayan Surya , Jayanta I Nyoman Laba , Margunayasa I Gede , Astawan I Gede
Published: October 2024

The TPACK mastery parameter signals qualified elementary school teacher candidates. The aim of the present study is to investigate a) how elementary school teacher candidates in the Teaching Assistance program perceived TPACK ownership and b) what factors influenced TPACK ownership. This is a case study for Ganesha University of Education's Elementary School Teacher Education study program in Indonesia. Mix methods were employed, with an explanatory sequential mixed method design. This study included elementary school teacher education students in semester VI who participated in the teaching assistance program. There were 174 people in total, with an 87% response rate to the questionnaire. We collected data through a questionnaire, interview, and document study. We analyzed the data to determine the percentage of quantitative data and used thematic analysis for qualitative data. The findings revealed that primary school teacher candidates' perceptions of TPACK ownership were not optimal, particularly in certain aspects that were critical for becoming teachers. This paper describes TPACK ownership in each domain, as well as factors that influenced TPACK, and gives some recommendations.
Evaluation of psychometric characteristics of employee motivation in the workplace
Authors: Frashëri Emil , Dollija Elda
Published: October 2024

Researchers constantly look for the ideal motivating factors in various countries, industries, and sectors, due to its multilateral dimension, which includes employees, managers, organizational policies and practices, and the way that the very dynamic external environmental factors influence them. Self-Determination Theory of motivation proposed by Edward Deci and Richard Ryan, embraces a holistic approach to human motivation which started by identifying several motivational styles and has been implemented in different fields of workplace motivation and management This paper aims to emphasize the importance of examining the psychometric characteristics of the employee motivation scale in the workplace, relying on some bifactor model ancillary indices. The degree of motivation was measured through the Multidimensional Work Motivation Scale (MWMS), based on Self-Determination Theory (SDT). The data were collected from a self-report questionnaire addressed to 658 employees from various businesses and institutions in the Korça region, in Albania. The ancillary indices, derived from the standardized loadings of a confirmatory bifactor model, provide a more comprehensive overview of the psychometric characteristics of the measurement instrument. The study showed that treating the MWMS as unidimensional within a multidimensional construct may cause only a small bias. However, its interpretation seems questionable. On the other hand, the added value of some subscale scores should be considered and can be statistically appropriate for interpretation, helping applied researchers. This study contributes to the field by highlighting the necessity of scrutinizing the psychometric properties of the employee motivation scale and demonstrates the utility of employing bifactor model ancillary indices for a more nuanced understanding. For the first time in Albania, we have a measurement instrument related to the motivation of employees in the workplace, which enjoys good psychometric characteristics.
The effect of total quality management practices on supply chain performance in the automobile industry
Authors: Waseem Muhammad , Yusoff Yusmani Mohd
Published: October 2024

The Pakistan Industrial Technical Assistance Center (PITAC) and Pre-Start of Sales Quality Clinic (PSQC), which are all government-run organizations, failed to fulfill their responsibilities in modernizing the Pakistani automobile manufacturing industry. The automobile industry in Pakistan is one of the most significant industrial sectors, contributing approximately 3% of the country’s GDP and PKR 50 billion. Previously, scholars have discussed the use of TQM practices in different contexts, but this topic has been investigated less in the automobile industry. Furthermore, there are gaps in the literature regarding the relationships among top management commitment, customer focus, supplier quality management, human resource management and supply chain performance (SCP). The current study was designed to measure the impact of total quality management practices (TQMPs) on SCP of the automobile industry in Pakistan. Quantitative research was conducted, and a survey-based questionnaire was administered using a random sampling technique. Data from 155 senior managers representing the outlets of the automobile industry in Pakistan were analyzed using Smart PLS 4. Top management, customer focus, supplier quality, and human resource management are significant antecedents of SCP in Pakistan's automobile industry. This research addressed gaps in the supply chain literature and contributed significantly to the body of knowledge. We recommend that policymakers and practitioners implement practices to advance the SCP of the automobile industry in Pakistan. The study has novelty as unexplored area in literature was discussed by its findings. Policy and managerial implications of this research are significant to contribute to literature. The limitations of this research are discussed to provide significant insight for future directions.
Factors effecting tourists’ behavioral intentions through short tiktok video. Mediating effect of flow experience and satisfaction
Authors: Liu Congying , Bin Mohamed Ahmad Edwin , Arshad Muhammad Zulqarnain
Published: October 2024

The tourism industry is a key factor in the economic growth of countries such as China. This study explores the effect of information quality on TikTok, the most popular platform for short videos, and how it influences the flow experience, satisfaction, and tourists' intention to visit Chongqing, China. This study investigated the function of flow experience and satisfaction as mediators in the context of Chinese tourism. This research is based on the stimulus‒organism‒response (S-O-R) model, which is the primary theoretical framework. The data collection was conducted using a cross-sectional approach, primarily focusing on TikTok users in China through the Questionnaire Star platform. Of the 384 questionnaires that were distributed, 337 were considered valid and were included in the research. This study utilized partial least squares structural equation modeling (PLS-SEM) to assess the hypotheses and verify the reliability and validity of both the measurement model and structural model. The findings indicate that information quality significantly influences tourists' inclination to take action and emphasize the relevance of flow experience and satisfaction in mediating this connection. This research not only enriches the theoretical understanding by extending the S-O-R model but also has practical implications for scholars in the fields of tourism, policymakers, and government agencies. The research concludes by outlining the limitations and future directions.
Design and simulation of zeta solar charge controller with artificial neural network MPPT
Authors: Subramanian Balakumar , Kefale Samuel , Godato Mesfin , Girma Yalisho , Zegeye Zerihun
Published: October 2024

Fossil fuel are non-renewable energy sources with constrained reserves. This advocates renewable energy as a viable alternative for electricity generation. PV is a renewable energy source that harnesses solar energy. The current issue with PV is its low efficiency and elevated cost. Photovoltaic control devices and Maximum Power Point Tracking (MPPT) mimic human neural networks in processing multiple conditions and providing solutions from current reference data to optimise photovoltaic power. This technique is known as Artifical neural network (ANN). This method uses a zeta converter to adjust the photovoltaic voltage to supply specific loads, allowing ANN to optimize power as sunlight intensity changes. In this work, a charge controller for solar applications was designed using MPPT algorithms. This is responsible for overseeing the battery circuit and producing PWM signals to regulate zeta converter according to the battery voltage. The artificial neural network (ANN) received as inputs temperature and irradiation (G). Several simulations verified the efficiency of the suggested MPPT algorithm. The Zeta solar charge controller (ZSCC) device achieved up to 92% efficiency with low irradiance. The proposed ANN-based MPPT controller and perturb-observed Maximum Power Point Tracking (MPPT) algorithm were compared in different solar insolations. The simulation results show that MPPT-ANN can track power up to 2000 Watts for a 2000 WP photovoltaic in 0.056 seconds, with no power oscillations at the MPP.
Information technology utilization by agricultural entrepreneurs in Ganjam district, Odisha
Authors: Chakraborty Monalisha , Parida Prasanta , Mandal Nirmal K. , Chakraborty Subhomita
Published: October 2024

Information technology is considered one of the most important modern tools for the success of agricultural business, especially for entrepreneurs. Based on this premise, this study aimed to investigate the factors influencing its utilization among agricultural entrepreneurs in the Ganjam District of Odisha, India. Data was collected from a purposive sample of 48 agricultural entrepreneurs, including mushroom cultivation, cashew processing, and egg layer business. A questionnaire was used, consisting of questions formulated by the researcher and a group of experts in agricultural. A four-point scale was used to obtain a value indicating the level of success in using information technology. Descriptive statistics such as frequency, percentage, and standard deviation were applied to determine the classification of study variables, while multiple linear regression analysis was employed to identify the key factors influencing the utilization of information technology among agricultural entrepreneurs. The results revealed the presence of three independent variables that significantly affect the dependent variable at a significance level of 5%. These variables include (X3) knowledge, (X10) availability of technical support and training for implementing information technology, and (X13) environmental factors, all of which have a positive impact on the dependent variable (Y). The study may provide key principles for the development of information technology utilization among agricultural entrepreneurs, offering a set of suggestions for researchers and policymakers regarding needs analysis to support entrepreneurs in Ganjam, which can be generalized to include other states in Odisha.
Investigating basics and principles of ergonomics in the sheet
Authors: Amanzadeh Parisan , Dekamini Fatemeh , Birau Ramona , Pourmansouri Rezvan
Published: October 2024

The development of work-related musculoskeletal disorders depends on the pattern of work and does not belong to a particular industry or occupation. One way to assess the amount of stress and tension on the body is to evaluate posture. The aim of this study was to determine the risk factors for musculoskeletal disorders in cellulose industry workers. Study, 22 stations were examined using RULA method, of which 7 stations were at level 2, 14 stations were at level 3 and one station was at level 4. 14 stations were surveyed using REBA method, among which, 2 stations were at level 1 and 12 stations were at level 2. Also, 38 stations were surveyed using the KIM-LHC method, of which 26 stations were at level 2 and 12 stations were at level 3. Statistical studies showed that there was a significant relationship between low back pain and work experience at the level of 0.01. The prevalence of shoulder, arm, back and leg pain was significantly different between men and women at the level of 0.01. There was also a significant relationship between the prevalence of musculoskeletal disorders in the lumbar and shoulder area over a period of time and the level of risk of work postures. The results of the study showed that the prevalence of musculoskeletal disorders and risk levels calculated by RULA and KIM methods were high in the subjects, but the risk level calculated by REBA method was low and moderate. Therefore, any program to prevent the occurrence of these disorders in the workplace and control the relevant ergonomic risk factors and take corrective measures to improve working conditions at all stages of production, is necessary.
Changes in performance on physical capacity tests after three months of cross-training among elite male football referees in Burkina Faso
Authors: Adama Tiama , André Kabore , Léonce Linta , Fabrice Gouthon Gilchrist , Coffi Quenum , Brigitte Tonon , Basile Nouatin , Valentin Yameogo Nobila , Polycarpe Gouthon
Published: October 2024

The performance of the football referee is partly determined by his physical abilities and cross-training is an effective training method. The aim of this study was to measure the effects of three months of cross-training on performance in physical field tests among elite soccer referees in Burkina Faso. Methods: It was carried out with 28 male referees, divided into two groups: cross-training group (CTG) and usual training group (UTG). CTG and UTG went through cross-training and regular elite referee training in Burkina Faso, respectively. max, running times over 10 m (RT10 m), 40 m (RT40 m) single sprint, Illinois agility test (RTIAT), and the mean running time to the repeated sprint ability test (RSAmean) were studied. The significance level of the statistical tests carried out was set at p < 0.05. Results: Significant improvements were observed in CTG for: max (+3.6%; p = 0.0009), RT10 m (-9.6%; p = 0.009), RT40 m (-3.2%; p = 0.0009), RTIAT (-4.8%; p = 0.0009) and RSAmean (-1.4%; p = 0.002). In UTG, performance was improved for: max (+0.6%; p = 0.01), RT10 m (-1.5%; p = 0.01), RTIAT (-1.8%; p = 0.008). Improvements were greater in CTG than in UTG for: max (+3.6% versus +0.6%; p = 0.000007), RT10 m (-9.6% versus -1.5%; p = 0.0001) and RTIAT (-4.8% versus -1.8%; p = 0.001). Conclusion: The results indicate that cross-training induces an improvement in performance on the tests used among elite football referees in Burkina Faso. These effects on cardiac physiology must be evaluated in these referees to determine the risk incurred by exposure to this method.
Analysis of Pfmdr1 and Pfcrt drug resistant markers in Plasmodium falciparum following treatments of patients from Nyando and Mbita, Nyanza region with Artemisinin-based combination therapy
Authors: Malala Bonface Joel , Makokha Francis , Kimani Francis , Omolo Kevin Mbogo
Published: October 2024

The multidrug resistance  of Plasmodium falciparum to antimalarial drugs is a major public health concern in the global management of malaria, especially in developing countries. As of today,  malaria treatment  is   primarily  dependent  on  the  sustained efficacy of artemisinin-based combination therapy (ACT). Recent reports indicating decline in efficacy of ACT and artesunate monotherapy in Southeast Asia are a major threat to global malaria control achievements. Initially, mutations in Pfmdr1 were associated with chloroquine and amodiaquine resistance only, but there are now emerging field study reports of Pfmdr1 mutation conferring tolerance to ACT. The current study used Restriction Fragment Length Polymorphism to evaluate the prevalence of genetic polymorphisms of Plasmodium falciparum multidrug resistance (Pfmdr1) and Plasmodium falciparum chloroquine-resistant transporter (Pfcrt) gene mutations in Mbita and Nyando field isolates. The findings report that the prevalence of Pfcrt K76T mutation in Plasmodium falciparum field isolates in Mbita declined significantly from 76.3% (95% CI 21.0-31.0) in 2008 to 51.9% (95% CI 19.0-25.0) in 2014, a reduction of 24.4% (χ2df =1 = 4.709, P = 0.0000). In Nyando, prevalence stood at 66.8% (95% CI 12.0-14.0) in 2014 down from 73.7% (95% CI 27.0-48.0), insignificant reduction of 6.9% (χ2df =1 = 17.699, P = 0.0913). Prevalence for Pfmdr1 in Mbita stood at 14.7% (95% CI 44.0-51.0) in 2014 down from 21.9% (95% CI 31.0-49.0) in 2008, a significant reduction of 4.3% (χ2df =1 = 9.011, P = 0.001). While in Nyando, field isolate  samples recorded 16.2% (95% CI 22.0-31.0) in 2014, down from 30.6% (95% CI 12.0-27.0), insignificant reduction of 1.9% (χ2df =1 = 11.777, P = 0.0591). Our findings confirm a common trend reported by previous studies: that there has been a small decline in the prevalence of the Pfcrt mutation over a decade since the withdrawal of Chloroquine as the first line of treatment for uncomplicated cases of malaria in Kenya.
Illuminating Island nights: Exploring local culture in night tourism
Authors: Nguyen Van-Hanh Thi , Tran Tuyen
Published: October 2024

Night tourism has gained popularity among travelers seeking entertainment and leisure activities. However, promoting night tourism in areas that lack urban-based attractions, such as small islands, presents unique challenges. Despite these challenges, small islands often possess rich local cultures that can be harnessed to create distinctive night tourism experiences. This study investigates the potential of local culture in enhancing night tourism on Ly Son Island, Vietnam. A mixed-method approach was employed, including a quantitative survey of 120 tourists, a qualitative survey of 10 tourists, and three fieldwork investigations on the island. The findings reveal that Ly Son Island has a distinctive local culture that holds significant, yet underutilized, potential for night tourism. Tourists expressed a strong interest in night activities that are deeply rooted in the island’s local culture. However, such offerings are currently underdeveloped, limiting the island's night tourism appeal. Based on these findings, this study recommends strategies to better utilize local culture in night tourism on Ly Son Island. The implementation of these recommendations could enhance the night tourism experience not only on Ly Son Island but also on similar small island destinations.
Navigating the maze: A comprehensive journey in the management of odontogenic Keratocyst
Authors: Agrawal Paridhi , Chandak Manoj , Suryawanshi Tejas , Hirani Palak , Agrawal Anchal , Gupta Chetan
Published: October 2024

This case report describes the intricate management of an odontogenic keratocyst (OKC) associated with a mandibular tooth. Formerly known as keratocystic odontogenic tumor, OKC is a benign intraosseous lesion with diverse manifestations that occurs either as a solitary entity or as multiple lesions within the same individual. Often linked to nevoid basal cell carcinoma syndrome (NBCCS), OKC presents a unique challenge requiring meticulous diagnosis and treatment. In this case, a 71-year-old male with significant mandibular swelling sought treatment after a failed endodontic procedure. Detailed clinical and radiographic evaluations revealed an extensive radiolucent lesion affecting teeth 45 to 36. The treatment involved a multidisciplinary approach, including endodontic therapy and surgical enucleation with bone curettage. The patient exhibited successful healing and bone formation during a one-year follow-up, emphasizing the significance of comprehensive management strategies for OKCs. This case underscores the importance of early diagnosis, collaboration between specialties, and long-term follow-up in ensuring optimal outcomes for patients with OKCs associated with mandibular teeth.
Performance evaluation of generative adversarial networks for anime face synthesis using deep learning approaches
Authors: Rajarajeswari Perepi , Saraswathi Redrowthu Vijaya , Jahnavi Yelamanchi , Ravuri Vasavi , Alankritha Sampath , Vani Maddukuri Sree , Muthu Rajesh Kumar , Gaftandzhieva Silvia
Published: October 2024

Anime characters have transcended their traditional animation role, permeating entertainment, video games, and social media. Online platforms, including prominent blogs and forums, are filled with references and adaptations of these characters. This digital ubiquity has spurred creators to develop innovative storytelling methods through the internet, fostering new avenues for anime character creation. Notably, advanced systems like Generative Adversarial Networks (GANs) have emerged as powerful tools for this purpose. This research investigates the capabilities of various GAN variants in generating anime faces. The Fréchet Inception Distance (FID) serves as a key metric for performance comparison. The analysis focuses on Deep Convolutional GAN (DCGAN), Progressively Growing GAN (ProGAN), and Style GAN2. Additionally, the performance metrics of the DCGAN model are examined. The findings show demonstrate significant differences in FID scores across these GANs. Notably, Style GAN2 exhibits superior performance in generating anime faces, achieving a significantly lower FID score (31) compared to DCGAN (625) and ProGAN (218.3). This research underscores Style GAN2's superior effectiveness in creating anime characters within the digital landscape.