bluuebunny/crossref_metadata_2025 huggingface dataset:
Migration vis-à-vis Philoxenia in South African context
Authors: Maseng Jonathan
Published: August 2024

Many scholars in the field of migration and xenophobia have consistently examined various levels and expressions of xenophobic behavior within the South African context. They have contributed significantly to conceptualizing migration as inherently conflict-prone, often citing incidents categorized as xenophobia, Afrophobia, and color-blind xenophobia in both scholarly and public discussions. While ample scholarly evidence exists regarding factors that promote social cohesion between South Africans and African immigrants, as well as their implications for African continental integration, there is a notable dearth of scholarly attention on how Philoxenia, the concept of extending friendship or hospitality to strangers, can contribute to the project of African continental integration. Utilizing qualitative research methods and document analysis as a data collection technique, this paper reveals those certain aspects of the South African migration legislative framework exhibit Philoxenic characteristics. Moreover, the paper provides evidence of multiple economic sectors and communities in the country that demonstrate Philoxenia. The paper concludes that Philoxenia can serve as a catalyst towards achieving a united state of Africa, while "xenophobia", "Afrophobia", "Threats” to social cohesion”, "colour-blind xenophobia” and “sibling fights or sibling bullying” are impediments to this long-term objective of the African Union. The paper recommends that, South Africa as one of Africa’s dominant African immigrants’ host state must come up with legislation that criminalizes the latter actions.
Factors affecting women's entrepreneurial intention: An empirical examination of Nepalese perspective
Authors: Lamichhane Basu Dev , Lama Padam Bahadur
Published: August 2024

This paper aims to investigate the perceived social norms, entrepreneurial motivation, and entrepreneurial education on entrepreneurial intention.  The study adopted a descriptive and causal relational research approach. The survey was based on a structured questionnaire and cross-sectional data for primary sources of information. A total of 525 questionnaires were distributed among the targeted respondents during October-December (2023) and received only 231 (44 percent) usable responses of youth women. The study utilized descriptive statistics, correlation, and regression analysis for analysis of demographic information, to assess the association and for testing the hypotheses. The findings of the study revealed that Entrepreneurial Education (EE), Perceived Social Norms (PSN), and Entrepreneurial Motivation (EM) have a strong and positive correlation with Entrepreneurial Intention (EI) among youth women who are pursuing entrepreneurship. The data demonstrates that the intention of women to engage in entrepreneurship is influenced by independent variables. This discovery significantly enhances the current body of work on the characteristics that influence entrepreneurial activity among youth women with entrepreneurial intentions in Nepal. The study's findings will assist planners, local governments, the federal government, educational institutions, economists, and social welfare agencies in implementing effective measures to promote entrepreneurship and formulating suitable strategies, rules, and regulations within the Nepalese business landscape.
Examining the moderating role of organizational emotional culture on the relationship between leader emotional intelligence and employee job performance in South Africa’s additive manufacturing industry
Authors: Afrifa Jnr Sampson , Dzogbewu Thywill Cephas , Dzansi Dennis , De Beer Deon Johan
Published: August 2024

South Africa’s additive manufacturing research has mostly concentrated on engineering and technical aspects, with a lack of studies on management and organizational dynamics. To fill this gap, we conducted research on the direct and moderating links between leader emotional intelligence, organizational emotional culture, and employee job performance in South African additive manufacturing enterprises. We used a deductive research approach, a quantitative research method, and a cross-sectional explanatory correlational study design. Our study used simple random sampling to select 148 employees of additive manufacturing firms in South Africa. Questionnaires served as the data collection instruments, and online data gathering was done using Google Forms. The Statistical Package for Social Sciences (SPSS) version 26 software was used for data coding, data entry, and descriptive statistics. Smart PLS 4 was used to conduct partial Least Squares (PLS) Structural Equation Modelling. Findings of the study demonstrate that a significant positive relationship exists between leader emotional intelligence and employee job performance. A significant positive relationship also exists between leader emotional intelligence and organizational emotional climate. A significant positive relationship was found to exist between organizational emotional culture and employee job performance. The finding also showed that organizational emotional culture moderates the relationship between leader emotional intelligence and employee job performance. The findings suggest that developing emotional intelligence among leaders in South African additive manufacturing enterprises could enhance both staff productivity and the organizational emotional environment. Our findings highlight the importance of prioritizing leader emotional intelligence training and development for additive manufacturing enterprises in creating a good emotional environment conducive to enhanced staff job performance.
Regulating the private security industry in Tanzania: the effect of minimum wage order
Authors: Sambu Eric
Published: August 2024

The principal objective of this paper is to explore the effect of minimum wage order as a form of regulatory mechanism for the private security industry in Tanzania. More precisely, it attempts to assess how minimum wage impact on the pricing of services to their consumers. It explores the background, comparative analysis of minimum wages, the current legal framework and interpretation of related legislation to support implementation and assesses compliance. The study that culminated in the paper was qualitative in nature, being based on the case study of the selected private security companies in Tanzania. For this end, this paper used observation, expert opinions, interviews and documentary review for getting both primary and secondary data. The findings of the study revealed that whereas the wage order is clear, there are extensive guidelines in the labour laws that require to be read together with it, leading to misinterpretation or deliberate omission due to their impact on the pricing. The set wage results in a selling price that is 4.3 times, even with a modest 10% profit mark-up. Compliance is very low, and enforcement is weak, leading to price undercutting and causes those willing to comply lax and follow non-compliers to survive in the market characterised with price wars. Consumer is conflicted in choosing cheap service providers and enforcing compliance with the minimum wage order for the welfare of guards. The study recommends improving regulatory oversight, more awareness training of PSC directors, simplifying the labour laws to avoid ambiguity, unifying minimum wages, regular audits and educating the consumers of the link between wage and pricing of service. It also recommends strengthening the capacity of trade associations to help in the regulation of their respective members.
Prioritizing social media marketing activities: unveiling the SMMA dimensions for enhancing brand attitude, experience, and purchase intention
Authors: Utami Nurul Rizki , Astuti Rifelly Dewi
Published: August 2024

This research examines the influence of Social Media Marketing Activities (SMMA) on consumer behaviour towards local fashion brands in Indonesia. The study focuses on five key SMMA dimensions: interactivity, informativeness, personalization, trendiness, and word-of-mouth (WOM). It extends previous research by investigating the moderating effect of customer engagement levels on the relationships between SMMA dimensions, consumer attitudes, brand experiences, and purchase intentions. A quantitative approach was employed through an online survey distributed to 878 social media users who actively follow and purchase from local fashion brands. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data and identify the influence of SMMA dimensions on consumer attitudes, experiences, purchase intentions, and the moderating effect of customer engagement levels. The findings aim to identify the influence of each SMMA dimension on consumer attitudes, experiences, and purchase intentions, quantify the relative impact of each SMMA dimension on these consumer behaviour factors, determine the SMMA dimension with the strongest influence on consumer response, and investigate the moderating effect of customer engagement levels on the relationships between SMMA and the other variables. These findings provide valuable guidance for local fashion brands in developing effective social media marketing strategies to enhance customer engagement and drive purchase intentions.
Rethinking decolonized universities: a case for proverbs (Dika le Diema) and Ubuntu in humanizing South African universities
Authors: Ledwaba Lesiba Tumishang , Mahlala Sandiso
Published: August 2024

The debates over the decolonisation of higher education in South Africa have resulted in differing perspectives on epistemologies and pedagogical techniques. While discussions rage about the conceptualisation and methods of decolonising higher education, as well as the practical efficiency of applying nuanced epistemologies, students continue to face racism, discrimination, and exclusion in higher education institutions. In its broadest sense, the foundation for the conversation on inclusion is founded on the elephant in the room, apartheid, which has been an Achilles heel in the change of South Africa's educational landscape. The apartheid curriculum, in all of its stages, largely prepared workers for low-wage, exploitative work. It showed little concern for emphasising Afrocentric foundations that expanded Black communities' cultural and traditional value systems. Bantu education's harsh social engineering prowess attempted to sidestep African philosophical frameworks (Ubuntu), which are crucial for motivating pupils' confidence, consciousness, and self-actualization. Against this backdrop, this study views decolonisation as a chance to include African languages, value systems, histories, customs, beliefs, cultures, and experiences in higher education.  This paper argues that the abstract inclusion of African languages devoid of intrinsic depth and essence is a patronising exercise purposed to vaguely position African languages alongside English and Afrikaans; doing so prohibits a deeper humanistic appreciation and knowledge of African traditions and indigenous systems. This paper emphasizes the crucial role of African languages and indigenous knowledge systems in addressing racism and inequality, and encourages their gradual and benign incorporation into higher education curricula.
Navigating informal business institutions in Africa: Expatriates’ response to the ‘magendo’ phenomenon in Uganda
Authors: Mulumba Matthias Sebuttemba , Walugemba Ahmad
Published: August 2024

This paper explores how expatriates deal with host country informal business practices that differ from their home country institutional frameworks. We note that expatriate business people working in emerging markets of Africa often contend with corrupt business practices rooted in local informal institutions and the lack of strong formal institutions regulating business practices. We also observe that while local people take informal institutions such as magendo, as a way of life and adjust to them, expatriates being ‘outsiders’ respond in different ways. The study employed a qualitative phenomenological design that involved in-depth interview of a small sample of expatriates operating in Uganda. For data analysis, NVivo 11 was used to search for and retrieve chunks of labelled data. The key findings indicate that expatriates from countries with strong formal institutions experience the most frustrations and often reject informal business practices. On the other hand, expatriates from countries with weak institutions are more pragmatic and easily adapt to existing practices in the new environments. Multinationals however, often reject informal business practices due to their market power and strict codes of conduct.The study recommends that small-medium category expatriates targeting Africa need to align with influential local people so as to navigate business informalities that characterise informal business environments.
Job satisfaction as a mediation between motivation and employee performance in Bank Jatim
Authors: Kusentyo Putra Suhartono , Kurniawati Desi Tri
Published: August 2024

This research is purpose to analyze the influence of transformational leadership and work environment on employee performance, the impact of motivation on job satisfaction, job satisfaction on employee performance, and motivation on employee performance with job satisfaction as a mediating variable. The study focuses on the Unit of Sharia Business in Bank Jatim, with a population of 224 employees. The result are transformational leadership, Work Environment and Job Satisfaction has a significant positive impact on employee performance. Job Satisfaction mediates the relationship between Motivation and Employee Performance, showing partial mediation. This suggests that work motivation enhances employee performance in the Sharia Business Unit of Bank Jatim, with or without direct involvement of job satisfaction. The findings provide valuable insights for improving management practices and fostering employee engagement at Unit of Sharia Business in Bank Jatim.
Leveraging dynamic capabilities to drive innovation and enhance business performance
Authors: Sari Devi Novita , Susilowati Christin , Moko Wahdiyat
Published: August 2024

This study explores the critical role of dynamic capabilities in enhancing business performance among small and medium-sized enterprises (SMEs) in the café sector of Malang City, Indonesia. Specifically, it examines how dynamic capabilities influence both explorative and exploitative innovations and how these innovations, in turn, affect business performance. Using a quantitative approach, data were collected from 110 café owners through structured questionnaires. The results indicate that dynamic capabilities significantly impact both explorative and exploitative innovations. Explorative innovation, which involves the development of new products and the exploration of new markets, was found to have a substantial positive effect on business performance. Conversely, exploitative innovation, which focuses on refining and improving existing products and processes, showed a positive but less pronounced impact. The findings underscore the importance of dynamic capabilities in fostering innovation and improving business performance in a competitive environment. This study offers practical insights for café owners and entrepreneurs in the food and beverage sector, highlighting the need for continuous development of dynamic capabilities and a balanced approach to innovation. Future research is encouraged to expand on these findings by exploring additional factors and utilizing longitudinal data to capture the evolving nature of these relationships.
Comparative Analysis Of Usability Value On Online Shop Fashion Websites Using The System Usability Scale (SUS)
Authors: Marpaung Gaby Novitaria Dwi Andika , Astiti Sarah , Fernandez Sandhy
Published: August 2024

The results of the We Are Social survey in April 2021, Indonesia is a country that has the highest percentage of e-commerce usage in the world. The increasing use of e-commerce in Indonesia and the most sought-after e-commerce products in the fashion sector make online fashion shops potentially good in Indonesia. The development of e-commerce engaged in fashion apart from having a mobile application, there is also a website that can be accessed without having to download it on the device used. The quality of an e-commerce website affects the number of users who choose to shop online from an e-commerce website. This research aims to find out whether there are differences in the usability value of websites in the field of online shop fashion contained in the top brand award in the retail category. The websites are Zalora.co.id, Berrybenka.com, Fashiontoday. co, and Cottonink.co.id. Knowing the usability level of the website uses the System Usability Scale (SUS) method. The four websites have different average SUS scores but for the grading scale, the four websites are in grade D, the adjective scale is in the OK category, acceptable is at the marginal level, and NPS is in the detractor category.
Ensemble Machine Learning to Detect Sarcasm in English on Twitter Social Media
Authors: Rosid Mochamad Alfan , Sambada Muhammad Arginanta Kafi , Busono Suhendro , Muharram Fajar
Published: August 2024

Detecting sarcasm in English tweets on social media platforms like Twitter is a complex task due to its subtle and ambiguous nature. This study explores the use of ensemble machine learning techniques, including Logistic Regression, Naive Bayes, Decision Tree, and Support Vector Machine (SVM), to effectively identify sarcasm. A dataset containing sarcastic and non-sarcastic English tweets was collected and preprocessed. Features representing lexical, syntactic, and semantic information were extracted to train and evaluate the ensemble models. The Support Vector Machine method demonstrated the highest performance among the techniques employed, achieving an accuracy of 80% and an F1-score of 80% for sarcasm detection. This highlights the efficacy of Support Vector Machines in capturing complex patterns and differentiating between sarcastic and non-sarcastic tweets. By leveraging the strengths of multiple machine learning algorithms, the ensemble approach enhances the overall performance of the sarcasm detection system. It provides a more robust and accurate detection of sarcasm, thereby improving the understanding of user sentiments and opinions in online conversations. This research contributes to sentiment analysis and natural language processing, offering valuable insights into sarcasm detection in social media. The findings have practical implications for interpreting user-generated content on platforms like Twitter, enabling a better understanding of user sentiments and facilitating more meaningful interactions.
Sentiment Analysis Using Transformer Method
Authors: Aljabar Andi , Ali Ircham , Karomah Binti Mamluatul
Published: August 2024

This research delves into sentiment analysis, employing the transformative capabilities of transformer method. Specifically, leveraging BERT Models, the study aims to advance sentiment classification accuracy by intricately capturing contextual nuances and positive or negative comment on IMDB movies reviews. The transformer architecture's distinctive attention mechanism proves pivotal in comprehending intricate relationships between words, facilitating a profound understanding of sentiment in textual data. Through extensive experimentation, the study establishes the transformative prowess of these methods, showcasing their effectiveness in achieving state-of-the-art results in sentiment analysis tasks. This investigation not only contributes to the evolving landscape of sentiment analysis but also underscores the significance of transformer-based approaches in deciphering the subtleties of human expression within textual data specially for Bert models. This research will predict sentiment analysis on comment of IMDB movies and shows some results which are 3% of loss, 60% off loss validation, 98% of accuracy and 90% of validation accuracy
Self-protected quantum simulation and quantum-phase estimation in the presence of classical noise
Authors: Wu Lian-Ao
Published: August 2024

Decoherence is a major challenge in quantum computing. To execute quantum algorithms, it is crucial to eliminate decoherence and noise, for instance, via dynamic decoupling and quantum error correction protocols based on dynamic zero-noise strategy. We introduced self-protected quantum algorithms as potential alternatives over 15 years ago. Quantum algorithms based on the living-with-noise strategy are now used in the Noisy Intermediate-Scale Quantum regime. Here we introduce self-protected quantum simulations in the presence of weak classical noise. Notably, we prove the equivalence between weak classical noise and noiseless quantum simulations. This equivalence implies that a self-protected quantum simulation does not require any extra overhead in its experimental implementation. Furthermore, we find that the conventional quantum-phase estimation can be upgraded to its corresponding noisy version.
Human-Robot Collaboration in Business Environments: Leveraging GPU-Accelerated Computer Vision and Generative AI for Enhanced Productivity and Safety
Authors: Cit Abi
Published: August 2024

As businesses increasingly adopt advanced technologies to enhance productivity and safety, the integration of human-robot collaboration (HRC) emerges as a transformative approach. This paper explores the role of GPU-accelerated computer vision and generative AI in optimizing HRC within business environments. By leveraging the computational power of GPUs, real-time data processing, and advanced machine learning algorithms, robots can better interpret complex visual cues and adapt to dynamic workspaces. Generative AI further enables the design of intelligent robotic systems capable of anticipating human actions, optimizing task allocation, and ensuring safety through predictive modeling. This research highlights the potential of these technologies to improve operational efficiency, reduce human error, and create safer, more adaptable workplaces. The implications of such advancements are discussed, providing insights into the future of HRC in various industries.
Analysis of 2-Year Survival Outcome of Japanese Older Populations on Hemodiafiltration: A Propensity Score Matched Study Based on Insurance Claims Data
Authors: Jamal Aziz , Babazono Akira , Liu Ning , Fujita Takako , Kim Sung-a , Li Yunfei
Published: August 2024

Despite the lack of evidence that suggests hemodiafiltration (HDF) offers a better survival outcome than standard hemodialysis (HD), the number of patients initiating HDF in Japan continues to rise. This study examined the temporal change in the number of HDF incidents, evaluated factors associated with all-cause mortality, and compared the mortality risk and survival time of patient on HDF with patients receiving standard HD in three sets of 2-year cohorts. The primary analyses included the insurance claims data of 460 HDF patients and propensity score-matched 903 standard HD patients who initiated dialysis therapy between April 1, 2012 and March 31, 2018. Patient follow-up was censored at the time of death or the end of the 2-year study period. The influence of comorbidities on all-cause mortality was investigated, and the survival outcomes between HDF and standard HD patient groups throughout cohorts were compared. The number of HDF patients was increasing throughout cohorts, but the proportions of mortality cases across cohorts slowly decreased. Dementia status increases the mortality risk of patients regardless of dialysis modality. The mortality risk among HDF patients with dementia was more significant than HD patients. Adjusting for all covariates, we observed that HDF patients had a reduced mortality risk and longer survival time than patients on standard HD. This study supports the notion that HDF reduces all-cause mortality compared with standard HD in an incident dialysis population in Fukuoka Prefecture, Japan.
Pain Perceptions and Management in Outpatient Gynecological Procedures: Survey Insights and Future Implications
Authors: Fish Abigail , Ellis Brynn , Cooley Jacob , Vaghela Avani , Golden Eve , Brooks Benjamin
Published: August 2024

Objective: This analysis investigates patient experiences regarding pain management during gynecological procedures through a comprehensive survey, aiming to address the lack of clear guidelines in the clinical landscape and emphasize the importance of effective pain management strategies in enhancing patient care and satisfaction. Design: A cross-sectional survey with 258 respondents assessed pain management experiences during gynecological procedures. The survey was distributed via Qualtrics, and 258 responses were obtained. Participants/Materials, Setting, Methods: Participants provided demographic information and responded to questions regarding contraceptive methods, procedures undergone, pain management discussions, anxiety levels, and willingness to accept pain management interventions. Confidentiality and informed consent protocols were strictly observed throughout the study. Results: Most female respondents reported diverse contraceptive methods and procedures. Pain management discussions and provisions varied, with a significant portion reporting never being offered pain management. Many experienced anxiety and pain during procedures, with varying intensities, that were not addressed or discussed by their treating provider. Most expressed willingness to accept pain management interventions. Limitations: This study relies on self-reported data, potentially introducing recall bias, and has limited generalizability due to its cross-sectional design. Conclusions: Findings reveal a significant gap in pain management provision and discussion during gynecological procedures. Improved guidelines and practices are necessary to address patient discomfort effectively. Standardized pain management protocols are crucial to enhance patient experiences and outcomes, with further research needed to tailor strategies to individual patient needs.
Transfer Learning and Deep Neural Networks for Robust Intersubject Hand Movement Detection from EEG Signals
Authors: Kok Chiang Liang , Ho Chee Kit , Aung Thein Htet , Koh Yit Yan , Teo Tee Hui
Published: August 2024

In this proposed work, five systems were developed to classify four motor functions—forward hand movement (FW), grasp (GP), release (RL), and reverse hand movement (RV)—from EEG signals. The dataset used is WAY-EEG-GAL, involving participants performing a sequence of hand movements. During preprocessing, bandpass filtering was applied to remove artifacts and focus on the mu and beta frequency bands. The first system, a preliminary study model, explored the overall framework of EEG signal processing and classification. It utilized time-domain features like variance and frequency-domain features like alpha and beta power, with classification performed using a KNN model. Insights from this system informed the development of a baseline system, which uses the same dataset but different feature extraction and classification paradigms. This baseline system combined the common spatial patterns (CSP) method with continuous wavelet transform (CWT) for feature extraction and employed a GoogLeNet classifier with transfer learning. Classification was performed on six unique pairs of events derived from the four motor functions, using both intrasubject and intersubject methods. The baseline system achieved the highest accuracy of 99.73% for the GP-RV pair and the lowest accuracy of 80.87% for the FW-GP pair in intersubject classification. Building on this, three additional systems were developed to perform 4-way classification. Among these, the final model, ML-CSP-OVR, achieved the highest intersubject classification accuracy of 78.08% using all combined data and 76.39% for leave-one-out intersubject classification. This proposed model, which features a novel combination of CSP-OVR, CWT, and GoogLeNet, demonstrates strong potential as a general system for motor imagery (MI) tasks without being subject-dependent.
Can a Higher Dimensional Model of the Universe Solve the Problem of Dark Matter?
Authors: Kumar Naman
Published: August 2024

In this letter, we show that the effects usually attributed to the presence of dark matter in the Universe can equally be seen as the ”external” effect on our Universe due to extra dimensions. For this, we consider a braneworld scenario where our universe, which is a 3-brane, is immersed in a 6D Minkowski bulk. We derive the 1/r force on the 3-brane at large distances as a response of cosmic fluid to external force due to extra dimensions. This scaling reproduces the effect of dark matter, such as the flat rotation curves of galaxies and a higher deflection angle around some gravitational lenses. It also explains the large-scale structure formation of the universe. This approach thus offers a novel perspective on dark matter, suggesting that higher-dimensional physics can account for these cosmic phenomena.
EFFECT OF GREEN INVESTMENT, GOVERNMENT POLICY, AND RESOURCE MANAGEMENT ON THE FINANCIAL PERFORMANCE OF START-UPS IN CENTRAL JAWA
Authors: Utami Eva Yuniarti , Ayuni Risca Fitri , Nuvriasari Audita , Uli Nur Zarliani , Pratama Rohmawan Adi
Published: August 2024

Indonesia, has become a hub for such start-ups, aiming for both financial success and environmental consciousness. Green investments, which fund projects with environmental benefits, play a crucial role. These investments range from adopting energy-efficient technologies to implementing sustainable supply chains, leading to long-term cost savings and improved corporate reputation. Government policy is also vital, as supportive policies in Central Java include monetary rewards, tax breaks, and assistance programs that encourage start-ups to adopt sustainable practices. Effective resource management, which optimizes the use of human, financial, and material resources, is crucial for start-ups facing limited resources and intense competition. Efficient resource management can significantly impact a start-up’s operational efficiency and financial outcomes. This study examines how green investments, government policy, and resource management collectively influence the financial success of start-ups in Central Java. Data was collected from 40 start-ups across various industries using a quantitative approach, and multiple regression analysis was performed. The results show that higher financial performance is primarily due to green investments, supportive government policies, and efficient resource management, with a positive interaction between these factors leading to significant gains. The study provides factual proof that effective resource management, sustainable practices, and compliance with government regulations are essential for successful start-up operations. It highlights the complementary effects of these elements, suggesting that a comprehensive corporate strategy enhances financial results. This study offers insights for start-ups to enhance sustainability and performance and provides recommendations for policymakers to create a supportive entrepreneurial environment.
IMPLEMENTATION OF MSMEs CREDIT PROVIDING USING THE 5C METHOD BY PT. BPR BANK BAPAS 69 ON THE KAHYANGAN TOLL TOURIST, WONOLELO VILLAGE, SAWANGAN DISTRICT, MAGELANG DISTRICT
Authors: Syarif Mutsanna Ahmad
Published: August 2024

This research aims to describe the obstacles that arise in the implementation of providing MSME credit at the Kahyangan TOL Tourism in Wonolelo Village by PT BPR BANK BAPAS 69 Magelang Regency and to describe the solutions implemented by PT BPR BANK BAPAS 69 Magelang Regency in overcoming these obstacles. It is arising from the implementation of granting MSME credit to the Wonolelo Village Kahyangan Tourism TOL. The method used is the observation method, namely observation by observing directly at the BAPAS 69 Magelang Bank Office. This research is qualitative, data collection methods using observation and interviews. The results of the observations can be stated that the implementation of providing MSME credit at the Kahyangan Toll Tour in Wonolelo village by PT BPR Bank Bapas 69 Magelang Regency, has been by the systems and procedures determined by the Main Director of PT BPR Bank Bapas 69 Magelang Regency. Systems and procedures have been implemented as they should. The systems and methods implemented do not rule out the possibility of future risks regarding the credit disbursed. To minimize credit risk, PT BPR Bank Bapas 69 Magelang Regency has implemented prudential principles through the 5 C.
Fractional-based iterative learning-optimal model predictive control of speed induction motor regulation for electric vehicles application
Authors: Nemouchi B. , Rezgui S. E. , Benalla H. , Nebti K.
Published: August 2024

Introduction. A new control strategy based on the combination of optimal model predictive control (OMPC) with fractional iterative learning control (F-ILC) for speed regulation of an induction motor (IM) for electric vehicles (EVs) application is presented. OMPC uses predictive models to optimize speed control actions by considering the dynamic behavior of the IM, when integrated with the F-ILC, the system learns and refines the speed control iteratively based on previous iterations, adapting to the specific characteristics of the IM and improving performance over time. The synergy between OMPC and F-ILC named F-ILC-OMPC enhances the precision and adaptability of speed control for IMs in EVs application, and optimizes the energy efficiency and responsiveness under varying driving conditions. The novelty lies in the conjunction of the OMPC with the ILC-based on the fractional calculus to regulate the speed of IMs, which is original. Purpose. The new control strategy provides increased performance, robustness and adaptability to changing operational conditions. Methods. The mathematical development of a control law that mitigates the disturbance and achieves accurate and efficient speed regulation. The effectiveness of the suggested control strategy was assessed via simulations in MATLAB conducted on an IM system. Results. The results clearly show the benefits of the F-ILC-OMPC methodology in attaining accurate speed control, minimizing steady-state error and enhanced disturbance rejection. Practical value. The main perspective lies in the development of a speed control strategy for IMs for EVs and the establishment of reliable and efficient electrical systems using ILC-OMPC control. This research has the prospect of a subsequent implementation of these results in experimental prototypes. References 24, tables 2, figures 9.
Power fluctuation suppression for grid connected permanent magnet synchronous generator type wind power generation system
Authors: Nid A. , Sayah S. , Zebar A.
Published: August 2024

Introduction. Weather changes lead to create oscillations in values of power extracted from renewable energy resources (RERs). These power oscillations pose significant challenges in RERs integration process with the power grid systems, through its effects on power system stability. Many studies have been performed in various methods to mitigate the output power fluctuation of wind power generation system (WPGS). Purpose. This study focuses on increasing the mitigation rate of the output power fluctuation of WPGS caused by the rapid wind speed changes during wind gusts. Superconducting magnetic energy storage (SMES) system through its properties represents an effective solution for the WPGS power fluctuation issue. WPGS and SMES systems are linked to power grid system through the point of common coupling (PCC). Methods. This paper proposes two robust controllers for controlling the SMES system. The first controller is a Fuzzy Logic Controller (FLC), which has been utilized for controlling the power exchange between the SMES coil and the PCC of the utility grid. While the second controller is a PI controller, which have been utilized to regulate the voltages between the two sides of the PCC and the DC link capacitor in the SMES system. The proposed controllers have been constructed so that can make the SMES system absorb/deliver the real power instantaneously from/toward PCC according the wind speed changes. MATLAB/Simulink has been utilized to simulate the system under study and test the performance of proposed controllers. In addition, two different wind speed scenarios have been used in the simulation. Practical value. Results of simulation have proven the effectiveness of proposed controllers so that the active power fluctuation delivered to utility grid can be reduced by up to 89 %. References 31, tables 4, figures 9.
Hypercontent Media for Fostering Sociopreneurship in Vocational Education
Authors: Safitri Erna Retna , Raharjo Makmum , Saputra Ardi , Suningsih Taruni , Trayati Erni
Published: August 2024

This research explores the synergy between sustainable environmental education, sociopreneurship, and hypercontent media to support the SDGs and enhance 21st-century education. Focusing on vocational school students, it aims to design hypercontent-based learning media to promote sociopreneurship. The study uses qualitative methods with a case study approach, involving leaders, teachers, and students from five Vocational High Schools in Palembang. Data were collected through literature and field studies, including a media needs analysis via a questionnaire. The results indicate good school readiness for sustainable education programs, with an average score of 4.06. However, classroom implementation is low at 62.25%. Only 34% of students find current media effective, while 65% feel that traditional methods are insufficient. Therefore, 80% of students see the need for hypercontent-based learning media.
Keywords: Sustainable Environmental Education, Hypercontent, Sociopreneurship, Sustainable Development Goals, Instructional Media
Sistema para o Monitoramento e Controle do Processo de Fermentação de Massa Comestível Caseira Utilizando a Plataforma Arduino IoT Cloud
Authors: Alves Yuri de Araújo , Paludo Lucas Boarim
Published: August 2024

Este trabalho, fruto de projeto de desenvolvimento junto ao Curso de Engenharia de Controle e Automação, apresenta um completo sistema de controle remoto para o processo de fermentação do pão caseiro, cujo objetivo foi automatizar e monitorar o processo, permitindo ajustes precisos e intervenções remotas, proporcionando maiores padronização, eficiência e qualidade na produção da massa. Combinando hardware e software, o sistema consiste num sensor que monitora variáveis cruciais do processo de fermentação, como temperatura e umidade. Esses dados são coletados por um microcontrolador ESP32 e transmitidos para a plataforma Arduino IoT Cloud, onde são processados e analisados em tempo real. Através de um painel de controle e monitoramento (dashboard) com interface de usuário intuitiva, padeiros e operadores têm acesso remoto às informações detalhadas do processo de fermentação, permitindo o ajuste desses parâmetros, e garantindo as condições necessárias para o crescimento adequado da massa do pão. Atendidos todos esses aspectos, foi possível elaborar protótipo funcional, cuja importância está principalmente na interligação entre dispositivos IoT, tendência crescente no cotidiano.
Entraves e etapas do processo de regularização fundiária urbana com a utilização de RPAs: Um estudo de caso do município de Jarinu (SP).
Authors: Inguaggiato Felipe , Melo Breno , Stanganini Fabio , Kolland Junior Marcos
Published: August 2024

O crescimento urbano desordenado no Brasil no século XX gerou problemas como vazios urbanos e habitações irregulares, onde cerca de metade das unidades habitacionais do país irregulares. Esse fenômeno é resultado do êxodo rural, que, junto ao surgimento de regiões metropolitanas, aumentaram a desigualdade social e a expansão de áreas habitacionais não regulamentadas. Em resposta, o Brasil implementou políticas como a Lei nº 6766/79, a Constituição de 1988 e o Estatuto da Cidade para melhorar a regulação territorial. No entanto, a regularização fundiária ainda enfrenta desafios. Ferramentas tecnológicas, como Aeronaves Remotamente Pilotadas (RPAs) e o Sistema Global de Navegação por Satélite (GNSS), mostram grande potencial para auxiliar nesse processo, oferecendo precisão e menor custo na coleta de dados. Este estudo analisou a eficácia dessas ferramentas na regularização de um loteamento irregular em Jarinu (SP). As etapas metodológicas focaram na pesquisa documental, análise cartográfica e delimitação da área, seguidas pela organização da base fundiária e classificação dos lotes com ortofotos obtidas por RPAs. Foram então elaborados o projeto de regularização, o cadastro social dos moradores e a organização das matrículas individuais, apoiados por plantas topográficas e documentos legais. As etapas finais incluíram a titulação da posse e efetivação da regularização fundiária. Os resultados indicaram que RPAs e GNSS proporcionam dados precisos e detalhados, essenciais para a gestão das propriedades. A principal contribuição do estudo é destacar a importância da colaboração entre poder público e sociedade civil e o uso de tecnologias avançadas para facilitar a implementação de políticas urbanas mais eficazes.
RETRACTED: “Visualization matters” – Stereoscopic visualization of 3D graphic neuroanatomic models through AnaVu enhances basic recall and radiologic anatomy learning when compared with monoscopy
Authors: Yohannan Doris George , Oommen Aswathy Maria , Kumar Amruth S , Devanand S , UT Minha Resivi , Sajan Navya , Thomas Neha Elizabeth , Anzer Nasreen , Raju Nithin Kadakampallil , Thomas Bejoy , Rajan Jayadevan Enakshy , Govindapillai Umesan Kannavilakom , Harish Pawan , Kapilamoorthy Tirur Raman , Kesavadas Chandrasekharan , Sivaswamy Jayanthi
Published: August 2024

The authors have requested that this preprint be removed from Research Square.
Formation Control and Obstacle Avoidance Algorithm for Multi-USV System Based on Improved DWA
Authors: Zhang Kun , Li Yongguo , Wang Yuanrong , Xie Jia
Published: August 2024

This paper explores the challenges of multiple unmanned surface vehicles (USVs) to maintain formation and effectively avoid obstacles in unknown and complex marine environments. To this end, a novel formation control and obstacle avoidance strategy based on the virtual structure and artificial potential field (VSAPF) approach is proposed in this paper. The core concept is to apply the improved dynamic window approach (IDWA) to the formation control algorithm at the virtual reference unmanned surface Vessel(VRUSV).We name this algorithm IDWA-VSAPF.First, the DWA algorithm is improved. This includes a revision of the velocity window and three existing evaluation functions, while a new evaluation function is introduced. This new function expands the sampling range of velocity and improves the scoring of favorable trajectories. In addition, adaptive weighting coefficients are employed to enhance the USV's target navigation and global search capabilities in unknown environments and to effectively mitigate the local minima problem. The proposed approach is applicable to USV formations with various virtual structures. Finally, extensive simulations demonstrate the effectiveness of the IDWA-VSAPF algorithm. The results show that the approach achieves stable formation maintenance, flexible obstacle avoidance and transformation. In addition, the improved DWA greatly improves the passage efficiency and global search capability of USVs in unknown environments.
Lifestyles, health expenditure and the production of healthcare: Evidence from Greece
Authors: Kastrinaki Zafeira
Published: August 2024

This study examines the determinants of health outcomes in Greece, with a focus on life expectancy at birth from 1988 to 2022. We model a production function where life expectancy is influenced by health expenditure and behavioral risk factors such as sugar, tobacco, and fat consumption. Using regional data analysis, we explore the relationship between health spending and various risky behaviors. Our findings show that health expenditure significantly impacts health outcomes. Furthermore, sugar and tobacco consumption exhibit adverse effects on life expectancy, whereas fat consumption appears to have no influence. While on a national level, healthcare expenditure can lead to improvements in health outcomes, a deeper analysis at the regional level shows that this expenditure is driven by unhealthy consumption patterns. Hence, the relationship on the national level partially originates from unhealthy lifestyle choices. This leads to the conclusion that increases in healthcare expenditure do not necessarily enhance health outcomes proactively but rather mitigate the negative effects of unhealthy consumption, leading to increases in life expectancy. These empirical insights underline the importance of policy intervention to promote a shift towards less risky alternatives. Encouraging the adoption of reduced-sugar or sugar-free products, as well as alternative options like e-cigarettes, emerges as a viable strategy for improving public health outcomes in Greece.
Response of different cotton genotypes to salt stress and rewatering
Authors: Zhao Kang , Yang Tao , Pang Bo , Wang Honggang , Yang Zhining , Liang Weiwei , Rui Cun , Gao Wengwei
Published: August 2024

Background: Cotton is a vital economic crop and reserve material and a pioneer crop planted on saline-alkaline soil. Improving the tolerance of cotton to saline alkaline environments is particularly important.
Results: Salt-tolerant and salt-sensitive cotton plants at the three-leaf stage were subjected to 200 mM NaCl stress treatment, and microstructural observations and physiological and biochemical analyses were performed on cotton leaves at 0 h (CK), 48 h (NaCl) and re-watering (RW) for 48 h. Salt-tolerant materials showed better salt tolerance and faster recovery after re-watering than sensitive materials. Transcriptome analysis was performed on cotton leaves under salt stress and re-watering conditions. A total of 32,390 DEGs were identified between the two materials under the different treatments. KEGG analysis revealed that the response of cotton to salt stress and its adaptation to re-watering may be related to interactions such as photosynthesis (ko 00195), photosynthesis-antenna protein (ko 00196), plant hormone signal transduction (ko 04075), starch and sucrose metabolism (ko 00500), and porphyrin and chlorophyll metabolism (ko 00860). A gray coexpression module associated with cotton restoration under salt stress was enriched according to WGCNA.
Conclusions: Salt stress not only affected the physiological and biochemical levels of cotton but also induced structural changes in cells and tissues, and re-watering alleviated the physiological and biochemical changes in cotton plants under salt stress. WGCNA revealed enriched gray coexpression modules related to the recovery of cotton plants under salt stress, and screening of the pivotal genes in the gray module revealed five critical hubs, namely, GH_A01G1528, GH_A08G2688, GH_D08G2683, GH_D01G1620 and GH_A10G0617. Overall, our findings can provide new insights into enhancing cotton salt tolerance and exploring salt tolerance genes in cotton.