bluuebunny/crossref_metadata_2025 huggingface dataset:
Ethnobotanical survey of five wild medicinal plants used by local population in Taza province (Northeastern Morocco)
Authors: Asraoui Fadoua , Ben-Said Mariem , Louajri Adnane
Published: October 2024

Since ancient times, Moroccan people have used medicinal and aromatic plants as traditional medicine to treat various ailments. However, few studies have been made to document and promote traditional knowledge. The present study aims to collect information about folk knowledge on the medicinal use of five plants, namely Globularia alypum, Inula viscosa, Chenopodium ambrosioides, Ajuga iva, and Urtica dioca in Taza province (northeastern Morocco). We used semi-structured and unstructured interviews with herbalists, traditional healers, and the local population in Taza province. Indeed, 240 questionnaires were collected to gather information about each plant (parts used, methods of preparation and administration, treatable diseases, etc.). The collected data were analyzed using quantitative indices such as the use value (UV), fidelity level (FL), and informant agreement ratio factor (IAR). Most of the interviewees were 60 years old (58.33%), and 70% of them were women. Nearly 60 % of the interviewees were illiterate, and heritage related to traditional medicine, was the main source of knowledge (50%). Ten indications were reported for the studied species in traditional medicine where dermatological and gastrointestinal disorders had the highest use reports, and two species had the highest FL (100%). The highest UV was found for C. ambrosioides (0.44) and A. iva (0.31). The main preparation forms were infusion (40%) and decoction (22%). The most frequently used plant parts were leaves (55.83%). The wide traditional uses of the studied species are largely supported. Future experimental research should be focused on their pharmacological properties and mechanisms of action.
Boosting repurchase rates in B2C e-commerce: the role of customer satisfaction and relationship factors
Authors: Pambudi Restu , Manggabarani Alfatih Sikki , Supriadi Yudi Nur , Setiadi Iwan Kresna
Published: October 2024

This study examines the impact of critical factors on customer behavior in the B2C e-commerce sector, particularly focusing on e-customer satisfaction, electronic word-of-mouth (e-WOM), e-service quality, electronic trust (e-trust), perceived value, and the intention to repurchase. Using a structured questionnaire, data were collected from 418 respondents in Jakarta Province, Indonesia, and analyzed via Partial Least Squares-Structural Equation Modeling (PLS-SEM) 4.0. The research confirms the significant influence of all 13 hypothesized relationships on the tested variables, both directly and through mediating effects. Key findings reveal that e-customer satisfaction, e-WOM, e-service quality, e-trust, and perceived value serve as critical mediating factors that significantly shape repurchase intentions. Specifically, e-customer satisfaction has been identified as a crucial moderating variable, enhancing the direct effects of other factors on repurchase intentions. Furthermore, the study underscores the paramount importance of e-service quality and e-trust in fostering a positive perceived value among customers, which in turn enhances e-customer satisfaction and encourages repeat purchases. These insights provide valuable strategic perspectives for online retailers aiming to enhance customer loyalty and facilitate repeated purchases. The study advances the understanding of the interplay between these key factors and their collective impact on customer loyalty in e-commerce. It underscores the necessity for e-commerce platforms to maintain high levels of customer satisfaction and trust, ensuring consistent service quality and leveraging positive e-WOM to build enduring customer relationships. Additionally, the implications of these findings are relevant for cross-cultural studies and can be applied across diverse product categories, suggesting broad applicability for future research and practical implementations in e-commerce. This comprehensive analysis not only contributes to the academic discourse on e-commerce but also offers practical recommendations for online retailers to optimize their strategies in a competitive market.
Socioformative process and educational benchmarking: implications for the quality of initial teacher training
Authors: Vilchez-Guizado Jesús , Ramón-Ortiz Julia Ángela
Published: October 2024

In the Peruvian education system, permanent innovation in teacher training is achieved through the integration of emerging educational theories for teaching and learning, addressing the real needs of teachers in initial training within a context of continuous change. The objective of this research is to determine the level of influence of an educational model based on educational benchmarking and socio-formative processes on the improvement of the quality of initial teacher training. This research was quantitative, non-experimental, and cross-sectional. The population comprised 1,420 students of the Faculty of Education Sciences, with a study sample consisting of 142 students randomly chosen in a stratified manner. Data collection was carried out through a Likert-type questionnaire, followed by descriptive and inferential statistical analysis using Minitab software. The results indicate that 66.17% of the students agree with the practice of educational benchmarking, and 69.90% agree with the implementation of socio-educational activities. Additionally, 72.00% agree with the quality of professional training received at the university. The quality of vocational training is influenced by 77.39% through the praxis of socio-formative processes and educational benchmarking in university education. It is concluded that the practice of educational benchmarking and socio-training based on contextual characteristics significantly influences the quality of initial teacher training.
Social capital, and farmers' well-being in Guizhou Province of China: Is self-efficacy a missing link?
Authors: Xuan Chen , Yu Feng , Bin Ibrahim Ahmad Zubir
Published: October 2024

Social capital is widely recognized as a critical resource for understanding the well-being of individuals and communities. Although a vast body of scholarly literature focuses on the well-being of employees, students, and the elderly, the well-being of farmers has not been as extensively studied. Drawing upon Putnam's theory, this study empirically examines how Bonding Social Capital (BOC) and Bridging Social Capital (BRC) influence the well-being of farmers. It specifically explores the role of self-efficacy as a mediator in these relationships to fill the existing research gap. A combination of convenience and random sampling methods was used to collect 443 questionnaires. The primary data analysis was conducted using SPSS and PLS-SEM. The analysis revealed a strong positive relationship between BOC and farmers' well-being. In contrast, BRC did not show a significant correlation. Moreover, self-efficacy significantly mediates the relationship between social capital and the overall well-being of farmers. The findings indicate that while fostering BOC is crucial, farmers should also recognize and utilize the potential benefits of BRC to enhance their well-being. Promoting awareness among farmers and supporting the development and maintenance of BRC are valuable strategies for practitioners working in rural communities.
Impact of the ecological field trip on the learning of certain ecological concepts by Moroccan high school students and importance of a methodological guidebook during field trips
Authors: Haddad Ouafaa , Mars Naïma , Addi Mohamed , Jaouani Moussa , Legssyer Mounir , Maouni Abdelfattah , Saidi Rabah
Published: October 2024

The present investigation looked into the evaluation of the impact of ecological field trips on the learning of various ecological concepts by Moroccan high school students as well as the importance of having a methodological guidebook during the execution of the field trip. In this end, a questionnaire-based survey was adopted in undertaking the study and collecting the relevant data. The participants in this study are eighty-five Scientific Common Core students. The statistical analysis of results showed that the implementation of the field trip does not have a significant effect on the improvement of students’ learning abilities. Such an unexpected result raises a number of issues about the methodology followed and conditions under which this crucial activity takes place. Hence, in the light of these results, there is an urgent need to rethink about the effectiveness of the traditional didactic approach used and adopt new methods that motivate students more and encourage them to become active participants in building their knowledge, which might result in improved learning. Equally important, preparing a guidebook that clearly plans the activities to be carried out effectively by the students is of paramount importance.
Lecturers' expectations of the core content of agricultural english textbooks: An analysis of lecturer needs
Authors: Suhaimi Imam , Nurkamto Joko , Joyoatmojo Soetarno , Rochsantiningsih Dewi
Published: October 2024

This study discussed the effectiveness of the learning process in the English for Specific Purposes (ESP) program. The purpose of this study was to understand lecturers' views on what they expected and needed for textbooks in English (ESP) courses for agricultural students. Three lecturers from three different universities were involved in the study. This research used descriptive qualitative methods. The needs analysis was carried out through semistructured interviews, and the data were collected and analyzed through coding and categorization techniques based on question categories. This research revealed several core aspects that appropriate the expectations of lecturers, namely, their appearance and practicality; presentation system; order of work on exercise and/or activities; topics and objectives; and context, texts, and language. These aspects are based on the needs and expectations of English lecturers for agricultural students, so the results of this study can be useful because they synchronize lecturer expectations and the content of textbooks.
Evaluating factors affecting sexual abuse prevention education for primary school students according to the life skills approach
Authors: Bui Loan Thi , Van Dam Anh Thi , Le Nam Hoang , Hoang Dong Thai , Phan Long Thanh
Published: October 2024

This comprehensive study delves into the intricate factors influencing sexual abuse prevention education for elementary school students, capturing insights from diverse stakeholders, including 423 students, 115 teachers, and 423 parents. Employing a Likert scale, the research evaluates various dimensions, shedding light on the nuanced dynamics that shape prevention programs. The results reveal that student-related factors, encompassing positive behavior, cognitive capacity, personality traits, and knowledge levels, received moderately positive mean scores. This underscores the significant contribution of inherent qualities and cognitive abilities of primary school students to the effectiveness of sexual abuse prevention education. Moving to family-related factors, parents’ extensive knowledge and understanding garnered a positive mean score of 2.91, signifying a favorable impact, while financial considerations received a slightly lower mean score of 2.92. Notably, parental educational methods and the inclination to delegate educational responsibilities to schools scored higher at 2.99 each, underscoring the influential role parents play in shaping their children's perspectives on sexual abuse prevention. Within the school environment, positive interactions between teachers and students stood out with a mean score of 2.97, emphasizing the pivotal role of supportive teacher-student relationships in facilitating effective sexual abuse prevention education.  Societal factors exhibited varying influences, with local customs, culture, and social psychology receiving a mean score of 2.91, indicating a moderately positive impact. However, the development of the internet and information channels scored lower at 2.60, revealing potential challenges in adapting prevention education to the evolving landscape of online information dissemination. These nuanced findings contribute to a deeper understanding of the multifaceted factors shaping sexual abuse prevention education for elementary school students, providing a foundation for evidence-based interventions and policy decisions.
Directions for the development of higher education aimed at stimulating students' creative abilities and self-education in scientific research: developing a model of interpersonal learning
Authors: Akhmetov Linar , Istomina Olga , Levicheva Svetlana , Koshokova Saniyat , Kochetkov Evgeniy , Shelygov Aleksandr
Published: October 2024

In academic education, particularly in the context of collaborative research, the interaction between academic faculty, students, and scholars through electronic information media presents both innovative opportunities and challenges. While these technologies offer enhanced learning methods, they also raise concerns about the erosion of interpersonal connections, which are crucial to the educational process. This study aims to explore the dynamics of informational self-education and its impact on both faculty and students, recognizing the dual influence of positive and negative factors. Academic learning and collaborative research are complex processes that encompass cognitive, motivational, emotional, and behavioral dimensions, all of which are influenced by economic and financial mechanisms. The primary goal of this research is to identify and develop a model of interpersonal learning that can enhance the effectiveness of higher education. Through a comprehensive analysis, the study concludes that while informational self-education offers new avenues for improving the quality of academic teaching, the role of interpersonal learning, particularly when supported by advanced information technologies, is of paramount importance. This study underscores the need for a balanced approach that integrates the benefits of informational self-education with the essential human elements of interpersonal learning to foster a more effective and holistic educational experience.
Gameful learning investigating the impact of game elements, interactivity, and learning style on student success
Authors: Alamri Islam Kamel Ahmad
Published: October 2024

This study explores the effects of the aspects of game components, interactivity and learning-styles towards the main goal of providing an understanding of the factors that contribute towards the improvement of learning. Structured questionnaires were used to gather quantitative data from participants ranging from college going students to post graduate level students. The outcome of the quantitative organized queries also painted the picture consistent with all the quantitative hypotheses where regression models had been applied. The next level of credibility came from the quantitative results that ranged from mildly to strongly positive and supported by an expert indicating that the latter had improved due to the effects of gamification. Gathering the qualitative data was carried out by semi-structured interviews with six experienced educators. These educators provided deep descriptions and complex opinion on the personal experiences in the learning context that involve gamification. Unlike the quantitative analysis that focused on the overall results of gamification, the thematic analysis unfolded into the qualitative aspects regarding motivation, engagement, and the learner’s journey. Combining these quantitative and more especially qualitative data sets offers an alternating view of the gamification environment in education. The findings of the study do not only contribute to the theoretical body of knowledge in gamification but also offer real-life recommendations for the educators and institutions who are eager to bring changes to the traditional learning processes. Therefore, the study shows that there are no hard-liner advantages of gamification and that it can have positive impacts in various perspectives. It shows how game elements can improve the learning application and motivation and their capacity in dealing with different learning types and achieving better academic results. Additionally, the qualitative element strengthens the role of teachers, when describing the conditions and possibilities of using the gamification concept for actual educational teaching context.
An innovative method for improving rainfall prediction in Gujarat state through a fusion model DWT, 1DCNN and LSTM
Authors: Darji Mohini , Dave Jaykumar A. , Oza Ankit D. , Kumar Sandeep , Kumar Rahul
Published: October 2024

In countries like India where agriculture is a major industry, accurate prediction of rainfall is crucial. The ability to forecast rainfall helps in planning crop cultivation and has a positive impact on both local and national economies. Nevertheless, conventional statistical techniques prove inadequate for forecasting precipitation over extended periods of time owing to the erratic characteristics inherent in climate phenomena. To address this issue, various ML models such as Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), and Discrete Wavelet Transform, have been explored for precipitation prediction. Large-scale data analysis and overcoming intricate challenges have become achievable through the utilization of deep learning, which has proven to be a potent approach. It combines the advantages of multiple methodologies and algorithms in order to develop accurate precipitation forecasting models. In this study, researchers treated rainfall time series as signals and used the Discrete Wavelet Transform method along with Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network methods to analyze and reconstruct these signals. The research employed a dataset acquired from the Indian Meteorological Department and NASA, covering the years 1901 to 2022. This extensive collection comprised diverse meteorological parameters such as relative humidity, wet bulb temperature, Surface Pressure, soil dampness levels, relative humidity, temperatures (min and max), wind speed data in addition to rainfall records. The fusion of these three methods - DWT-CNN-LSTM deep model - consistently demonstrated excellent performance in key evaluation metrics such as MAE and RMSE. This approach achieved remarkable results in accurately predicting precipitation patterns for Gujarat State over the specified time period.
Assessing the impact of teacher characteristics, learner methods, and self-guided learning on technology adoption in mathematics instruction
Authors: Oumelaid Najim , Boukari Brahim E.L. , Ghordaf Jalila E.L.
Published: October 2024

This study explores the complex interplay between teacher attributes, learner instructional approaches, and the integration of Information and Communication Technologies (ICTs) in mathematics education, highlighting their collective impact on educational outcomes. Through a comprehensive survey of 196 teachers and 315 learners, the research delves into the relationships between teacher experience, educational qualifications, and the frequency and manner of technology use in the classroom. The analysis reveals that younger educators and those possessing advanced academic credentials are more inclined to actively incorporate ICTs into their teaching practices, demonstrating a higher level of comfort and enthusiasm for leveraging these tools to enhance student learning. Conversely, the study finds that more experienced teachers, particularly those with lower qualifications, tend to utilize technology less frequently, possibly due to a preference for traditional teaching methods or a lack of confidence in their ability to effectively integrate new technologies. Additionally, the study investigates the strategies employed by learners, with a particular focus on web-based self-learning approaches, such as the use of online educational videos and interactive platforms. The data indicates a significant positive correlation between these strategies and improved academic performance in mathematics, suggesting that learner-centered approaches that emphasize self-directed, technology-mediated learning can lead to better educational outcomes. These findings underscore the critical importance of considering both teacher characteristics and learner-centered instructional methods when developing strategies for the effective integration of technology in mathematics education. By tailoring these strategies to meet the diverse needs and preferences of educators, while simultaneously promoting effective self-learning techniques among students, educational institutions can better harness the potential of ICTs to improve learning outcomes in mathematics and beyond.
Optimizing Learning Management System Using UTAUT Model: Environment, Compatibility, Material Content, and Interactivity for Enhanced Usability
Authors: Yuniarty  , Lohannes  , Lohansen  , Hartono Ferry
Published: October 2024

he purpose of this study is to analyze the factors that influence Behavioral Intention to Re-use to users of online learning applications in learning. Combining the Unified theory of acceptance and use of technology (UTAUT) with the theoretical results of the previous literature related to the effectiveness of learning using an online learning system. The data collection method used a questionnaire distributed to 110 users of the Ruangguru or Zenius learning management system. The study used a quantitative method with the Structural Equation Modeling (SEM) method and was tested empirically using Partial Least Square (PLS). The results showed that the learning environment, content quality, and level of interactivity positively and significantly influenced the perceived ease of use, ultimately affecting behavioral intention. Device or technical factors and the perceived ease of use positively and significantly influenced the perceived usefulness.
The reception of feminist ideas about gender and gender equality in Simone de Beauvoir’s “The second sex” in Vietnam
Authors: Van Ha Huyen Hoai
Published: October 2024

In recent decades, as the world strives toward a democratic, just, equal, and progressive society for all, significant progress has been made in global gender equality. However, gender-based discrimination regarding fundamental human rights still persists in many places, particularly in poorer countries. These gaps or discriminations stem from gender prejudices that value men over women, and from a lack of profound and comprehensive understanding of women's roles and positions in society, often disregarding the principle of gender equality. Notably, gender equality is one of the United Nations' Millennium Development Goals, to which Vietnam has committed, aiming to achieve gender equality in key areas of social life. Currently, feminist theories and gender equality concepts are diverse and abundant, encompassing various perspectives. Nevertheless, in practice, women still do not enjoy true equality. In Vietnam, the feminist movement is not a protest against unjust laws or gender-discriminatory institutions, but rather against deeply rooted prejudices and norms that have disadvantaged women for centuries. In the feudal society, the image of women was incredibly diminutive, wholly dependent on men: “Preference for males over females.” These sayings caused women to forget their intrinsic value. Achieving the aforementioned goal requires the realization of freedom for women, progressing toward women's liberation and achieving gender equality. Based on these considerations, this article analyzes the reception of feminist ideas about gender and gender equality in Simone de Beauvoir's "The Second Sex" in Vietnam. By examining the historical and social context of Vietnam, the author aims to demonstrate how feminist ideas on gender equality in Beauvoir's work have influenced the perception of women's roles in contemporary Vietnamese society. The reception of these feminist ideas in Vietnam, whether positive or negative, contributes to a clearer understanding of the development of gender equality thought in the history of humanity in general and in Vietnam in particular.
Political leadership and campaign strategies in determining youth behavior towards political participation
Authors: Halim Haslina , Mohamad Bahtiar , Abdu Dauda Shamsu , Lina Azizan Farah , Dalib Syarizan
Published: October 2024

The present research aimed to further investigate and understand youth behavior in political participation, specifically examining the factors contributing to Malaysian youth's political engagement. Several factors were identified as influential in this context. The research framework was developed based on scientific papers and publications to describe these factors. A qualitative approach was employed, involving 10 focus group interviews with members from 10 youth associations. The analysis revealed key themes such as leadership and campaign strategies that shape youth perceptions and behaviors in political participation. These findings validate the research propositions regarding the factors influencing Malaysian youth's political involvement. In addition to contributing to the literature on youth political behavior, this paper reinvigorates youth expectations and provides an in-depth understanding of current Malaysian youth political participation.
The role of non-human actors in the acceptance of management accounting: the case of a Moroccan public establishment
Authors: Najeh Said , Heyame Zainab , Seghir Khalid Oulad , Youssef Said
Published: October 2024

Like private companies, public service establishments are seeking to improve their performance by adopting management control tools. However, their acceptance in this context raises specific challenges. Unlike the private sector, where profitability is often the main driver for the acceptance of such tools, the public sector has to deal with more complex organizational dynamics involving many actors. This article examines the reasons underlying the acceptance of a management control tool, in particular a management accounting system, in the Moroccan public sector. The research is based on a qualitative case study carried out in a Moroccan public establishment that recently introduced a management accounting system, using the Actor-Network Theory (ANT), also known as the translation theory, developed by Callon and Latour in the 1980s. Traditionally mobilized to analyze the innovation diffusion process, this approach is used in our research to study the pre-adoption, or ex-ante, phase of innovation introduction. The results of this study highlight the complex dynamics of management accounting acceptance in the Moroccan public sector, showing how non-human actors play a crucial role in the pre-adoption phase of management control instruments. Our research reveals the decisive influence of the tax variable, as a non-human actor, on the acceptance of the management accounting system. This link between taxation and management accounting is a significant contribution, particularly due to the lack of studies on legal and fiscal variables in management control. These results underscore the importance of considering both non-human and human actors equally in the translation process (generalized symmetry).
Development and prototyping of a concentrated ethanol gas monitoring system based on the MQ-3 sensor using the KAVi machine calibrator for environmental safety
Authors: Tazi Imam , Muthmainnah Muthmainnah , Samsu Hananto Farid , Sasmitaninghidayah Wiwis
Published: October 2024

This research outlines the development of a device for measuring concentrated ethanol gas concentrations using the MQ-3 sensor. The device is engineered utilizing an Arduino Uno microcontroller and an LCD as the output interface. The MQ-3 sensor has demonstrated optimal sensitivity and a linear response to ethanol gas. The range of ethanol gas concentrations tested, from 10% to 70%, was selected to match the capabilities of the KAVi machine in generating ethanol gas. The testing process of the sensor was conducted to generate data that were subsequently calibrated to ensure measurement accuracy. Validation results indicate that the MQ-3 sensor can measure ethanol gas concentrations with high accuracy and good linearity within this range. However, discrepancies between the sensor measurements and the calibrator values were observed and need attention. The development of this device provides improvements in the accuracy and linearity of the MQ-3 sensor compared to previous studies. It is important to note that the KAVi machine has limitations in producing ethanol gas concentrations above 70%, which should be considered in the practical applications of this device. Overall, this device shows great potential in applications for monitoring ethanol gas concentrations, with a note to consider the limitations of the ethanol gas production process from the KAVi machine for more optimal results.
Exploring the product attributes of butterscotch sauce made from palm syrup by Kano model
Authors: Dangsungwal Nanoln , Chamnanwad Noppawut , Muangburee Wiritpat , Masavang Supuksorn , Hiran-Akkharawong Intheema , Kankaew Suwanya , Thimthong Sansanee
Published: October 2024

This study revealed key insight into the consumption behavior and product attributes of sauces, specifically regarding butterscotch sauce made from palm syrup, using the Kano model. The sample consisted of 409 participants who responded to a questionnaire, and data were collected through frequency, percentage, mean, and customer satisfaction coefficient. Most participants purchase sauces on a regular basis, with a significant portion using sweet sauces for desserts and beverages, though awareness of butterscotch sauce is mixed. However, there is strong consumer interest in butterscotch sauce products, particularly when packaged in 180-ml plastic squeeze tubes, priced between 101 and 200 Thai baht, and featuring modern design elements. Consumers also value the use of local ingredients and express a high willingness to purchase such products, especially if they include usage guidelines. The study also identified various product attributes of butterscotch sauce made from palm syrup, categorized into indifferent, satisfying, attractive, and reverse attributes based on their impact on consumer satisfaction. Seven indifferent attributes were found, which neither enhance nor detract from consumer satisfaction. These include modern packaging and availability in supermarkets and souvenir shops. Three satisfying attributes were highlighted, such as the completeness of label details and appropriate pricing for quality, which positively influence consumer satisfaction. Attractive attributes, like the brown sugar aroma and the availability of recipes, were identified as key factors that uniquely engage consumers and drive demand. However, the study also revealed two reverse attributes—thick consistency and excessive sweetness—that cause dissatisfaction and require improvement. The satisfaction and dissatisfaction coefficients further emphasize the importance of providing recipes and methods of use while addressing concerns about price and label completeness to enhance overall consumer satisfaction. These findings provide valuable insights for developing palm syrup-based products that cater to consumer preferences.
An improved man-in-the-middle (MITM) attack detections using convolutional neural networks
Authors: Iddrisu Mohammed , Takyi Kate , Owusuaa Mensah Gyening Rose-Mary , Ofosuhene Peasah Kwame , Amoako Banning Linda , Owusu-Agyemang Kwabena
Published: October 2024

The increasing reliance on digital communication networks has made information security a critical concern for individuals, organizations, and governments worldwide. Man-in-the-middle (MITM) attacks are significant, prevalent, and damaging concerning cyber-attacks. Detecting MitM attacks is complex due to their stealthy nature and the sophisticated methods employed by attackers. There is the need for researchers to address this issue using current and novel methods like artificial intelligence.  In this paper, an improved MitM attack detection approach using the Convolutional Neural Network (CNN) deep learning algorithm is developed, resulting in an overall detection accuracy of 0.986%. The results confirms that the proposed model is very efficient in comparision to other proposed solutions by other authors.
Causality analysis of myopathy secondary to dapagliflozin therapy in type II Diabetes – A case study
Authors: Mohapatra Prabhudatta , Kar Durga Madhab , Rath Karmajeet , Pal Abhisek
Published: October 2024

Diabetes mellitus is a chronic metabolic condition that is becoming more prevalent globally. Diabetic patients must maintain adequate glycemic control in order to avoid or postpone diabetic complications. Diabetes care has evolved since the introduction of sodium-glucose co-transporter 2 inhibitors (SGLT2i). Postmarketing surveillance has shown cases of diabetic ketoacidosis and increased bone fracture risk associated with the use of SGLT2 inhibitors. We present a case of a 55-year-old female with a 6-year history of diabetes who exhibited weakness, muscular pains, and a burning feeling in her left thigh as a result of Dapagliflozin. Before initiating dapagliflozin treatment, the patient's fasting blood sugar (FBS) was 314 mg/dl and postprandial blood sugar (PPBS) was 343 mg/dl. After adding dapagliflozin as part of the therapy, the FBS improved to 179.24 mg/dl, and the PPBS decreased to 214.39 mg/dl, indicating a significant reduction in blood glucose levels. The introduction of Dapagliflozin in the treatment reduces the therapeutic gap compared to earlier treatment schedule, but retain the same side effect and became rechallenge. The instance of myopathy linked to dapagliflozin was confirmed following the causality evaluation by WHO Schales. It exemplifies the need for detecting drug-induced myopathy. Recently, minimal evidence has emerged showing a link between prolonged SGLT2 inhibitor use and accelerated myopathy. Myopathy is the generalised loss of skeletal muscle mass and function that occurs with ageing. Its existence is linked to negative health outcomes such as physical impairment, low quality of life, and death. Clinically, no other cause of myopathy was detected, and biochemical analysis indicated that dapagliflozin was the cause of her myopathy.
Effects of ginger and purslane supplemented diets on the production and physiology of Japanese quail
Authors: Khdr Haider , Qadir Miran , Shareef Osama , Halshoy Hawar , Hama Abdalla , Ibrahim Abdalla , Mala Hama , Abdalla Shnyar , Osman Sawen
Published: October 2024

The Japanese quail is considered one of the most significant species in the poultry industry. Various dietary strategies aim to improve the quality of quails and reduce or eliminate the use of antibiotics. Therefore, depending on the use of herbal plants, a new trend exists to provide high-quality feed. This study aims to provide insight into the possible improvement effects of ginger and purslane powder concentrations (1% and 2%) on the growth performance and reproductive aspects of quail and to implement a completely randomized design (CRD) in triplicate. The results revealed that 1% ginger powder significantly influenced the final week of feed intake, resulting in minimum cholesterol and blood sugar levels in the blood. The data indicated that 1% purslane powder affected body weight and weight gain. It also has a positive effect on blood attributes, including PCV, Hb, amylase, and HDL, while the lowest LDL level is recorded. The application of 2% purslane resulted in the highest feed conversion ratio (FCR) and lipase blood parameters. The male quail presented the highest levels of PCV, Hb, and HDL but the lowest levels of blood sugar and TG. However, the female quail presented the lowest levels of cholesterol and LDL and the highest total protein. The findings of this study suggest that incorporating herbal plants like ginger and purslane into Japanese quail diets can enhance poultry quality. Such dietary supplements may offer natural, cost-effective alternatives for improving the health and productivity of quails, benefiting breeders and farmers in the poultry industry.
Performance analysis of multiuser mmWave DCT-spread CP-Less OFDM communication system
Authors: Kamal Sk. Tamanna , Jabin Fowzia , Ullah Shaikh Enayet , Jahan Umme Salma , Hossain Md. Najmul , Rahim Md. Abdur , Farid Fahmid Al , Mansor Sarina
Published: October 2024

In this paper, we propose a framework for multiuser mmWave DCT-Spread CP-less OFDM communication system and analyze it comprehensively. Due to excessive cyclic prefix (CP) usage in conventional multicarrier systems, spectral efficiency reduces and increases transmission latency. Our proposed system enhances spectral efficiency and reduces transmission latency. We introduce an image encryption algorithm based on DNA encoding combined with a chaotic map is introduced to enhance physical layer security (PLS). The impact of block diagonalization (BD) channel precoding for multiuser interference (MUI) reduction and designed subcarrier mapping with time-domain Tukey windowing for out-of-band (OOB) power emission reduction are investigated. In addition, the paper studies the applicability of discrete cosine transforms (DCT)-Spreading for peak-to-average power ratio (PAPR) reduction. Simulation results demonstrate that Turbo and Repeat and Accumulate (RA) channel coding and minimum mean square error (MMSE) and Cholesky decomposition (CD)-based zero-forcing (ZF) signal detection schemes improve bit error rate (BER) performance of the proposed system for different users.
Factors Affecting the Workload of Horticultural Farmers in Agrotourism Areas
Authors: Yusuf M. , Suarbawa I Ketut Gde Juli , Santiana I Made Anom
Published: October 2024

Working as a farmer is one type of job that has high risks, judging from the type of activity and the work environment. The work activities of horticultural farmers include preparing land for planting, caring for plants by fertilizing, pulling grass or weeds, spraying pests, and harvesting and processing or handling postharvest fruits. This is not a light job, especially if the land being worked on is quite large and there are so many plants. These cause a high workload on farmers. It is necessary to measure the workload of horticultural farmers in the agro-tourism area. Many factors affect the workload of farmers, such as internal factors and external factors. Internal factors can be influenced by aspects of work (tasks) and work organization. Meanwhile, external factors can be influenced by the working environment of farmers. This workload will also affect the work productivity of farmers. Whether these factors have a dominant effect on influencing the workload of farmers, it is considered necessary to conduct more in-depth research. This type of research includes quantitative research with a cross-sectional approach. The number of samples found with the Lemeshow formula was 33 farmers. Data collection techniques involve the distribution of questionnaires, interviews with farmers, and direct observation. The factors that affect the workload are predicted through questionnaires and direct observation. Workload categories are internal and external workloads. The data obtained in the analysis used inferential statistics, namely, factor analysis. The results of the research analysis concluded that the three components of the dominant factors affecting the workload of horticultural farmers are: (1) type of work, body mass index, and calorie intake; (2) work experience, motivation, income, work posture, lifting, and work duration; and (3) work aids, age, and work environment. It is recommended to conduct further research on things that can reduce the workload of horticultural farmers in agro-tourism areas.
Implementation of machine learning methods in predicting failures in electrical submersible pump machines
Authors: Saptadi Singgih , Widodo Achmad , Athaillah Muhammad Fitrah , Ayyasyi Muhammad Farid
Published: October 2024

The Electric Submersible Pump (ESP) is one of the artificial lift tools widely used in oil and gas wells. Approximately 25% of oil and gas wells have been equipped with ESP. The ESP unit excels in lifting fluid rates much larger than most other types of artificial lift. The purpose of this research is to develop a machine learning model that can predict the likelihood of ESP installation failure. By making predictions at the early stage, necessary actions can be prepared to prevent and anticipate these issues. Thus, the reduction in the amount of produced fluid can be minimized. The model in this study uses 8 input parameters, namely, motor Ampere, Frequency, Pump Intake Pressure, Temperature Motor, Output Volt, Pump Discharge Pressure, Input Voltage, and Motor Horse Power (HP). There are also 8 failure classifications for which the model will be created. The initial stage involves collecting and cleaning raw data and processing it to detect anomalies. Once the data is processed, it proceeds to the model formation and model validation stage. The method used for the model is based on the comparison of two methods, namely, decision tree and k-nearest neighbor. The output of the research is a dashboard that can display visualizations of data and the prediction results from the created model. Millions of data points are used to create a database consisting of 77 wells over the past 2 years. The model developed generates several types of failures that can be read. These failures have their own characteristic parameters. The model obtained has an accuracy rate above 90%. The output of this model includes the most likely failure prediction based on the latest input data, thus effectively addressing well problems, warning of impending failures, reducing failures, and assisting in scheduling ESP repairs and maintenance.
Addressing the challenges of weak AML measures in developing countries: Key concerns of FATF and consequences of greylisting
Authors: Khouny Houda , Drissi Hicham
Published: October 2024

This article aims to explore the challenges faced by developing countries while adhering to international AML requirements and designing effective AML frameworks. Developing countries, which are faced with the dichotomy of complying with or breaching international requirements, also struggle with the impact of weak AML measures on their economies. By exploring this dichotomy, this research aims to provide valuable insights and recommendations for policymakers in developing countries to encourage the fight against money laundering and predicate offenses. It also contributes to the literature by shedding light on the adequate mechanisms through which developing countries can weigh up the consequences of being grey listed against the ability to attract illicit inflows, on which their economy may depend.
The mechanical performance evaluation of fly-ash derived geopolymer mortar for concrete patch repair
Authors: Astuti Pinta
Published: October 2024

The utilization of fly-ash-based geopolymers as a primary material in patch repair mortar technology represents a significant advancement in replacing conventional cement mortar, known for its high carbon emissions. This study employs Class C fly-ash with various proportions of activators to evaluate the resulting mechanical properties of the geopolymer mortar. The research includes trial and error for mix design, selection of an effective curing temperature, fresh properties, and hardened properties of mortar. Class C fly-ash was chosen due to its high-temperature resilience, essential for geopolymerization. An effective curing temperature of 60°C was identified. The activator solution comprised NaOH and Na2SiO3 with a 14 M molarity. Results indicate the highest compressive strength at a fly-ash to activator ratio of 60:40, achieving 70.80 MPa, while the highest average flexural strength was at a 70:30 ratio, achieving 12.19 MPa. The highest splitting tensile strength was also at a 70:30 ratio, measuring 26.33 MPa. These findings suggest that fly-ash-based geopolymer mortar is suitable for use in patch repair applications for corrosion damage.
The influence of fiscal transparency on expenditure by regional and provincial governments in Vietnam
Authors: Thanh Nguyen Thi , Hiep Tran Duc
Published: October 2024

The intricate relationship between budget transparency and government expenditure has been confirmed, with a particular focus on how these dynamics are influenced by spatial and temporal factors. This study deals with the spatio-temporal effects of transparent communal budgets on local government spending, specifically across the 63 provinces in Vietnam. By analyzing data over time, the study uncovers critical insights into how the disclosure of budget information influences government spending patterns, both in the short term and the long term. The findings reveal a nuanced relationship, where both the direct and indirect effects of budget transparency on expenditure tend to be negative, suggesting that increased transparency may lead to a reduction in government spending. This trend is observed from both a short-term perspective, where immediate changes in budget disclosure affect spending, and a long-term perspective, where the effects of sustained transparency become more evident. The study highlights significant regional disparities in the impact of budget transparency on government expenditure. It finds that the influence of budget disclosure is less pronounced in northern Vietnam compared to the southern regions. The results advocate for policies that support targeted resource allocation at the provincial or regional levels. Such tailored approaches are essential for achieving more effective and equitable government budget management, ensuring that transparency initiatives are adapted to the specific needs and conditions of different regions within Vietnam. Overall, this research contributes to the broader understanding of how transparency in budgetary processes can influence government spending. By highlighting the spatial and temporal dimensions of this relationship, the study provides valuable insights for policymakers seeking to enhance fiscal accountability and optimize public resource allocation in Vietnam.
TREN RISET GREEN TAX PADA ARTIKEL ILMIAH TERINDEKS GOOGLE SCHOLAR : SYSTEMATIC LITERATURE REVIEW
Authors: Asri Ida Ayu Trisna Yudi , Diviariesty Kadek , Dewinta Ida Ayu Rosa
Published: October 2024

Penelitian ini mencoba meninjau kembali informasi yang telah ada di penelitian sebelumnya. Penelitian ini menggunakan metode kualitatif dengan pendekatan library research sehingga penelitian ini tidak dapat dilakukan di lapangan dan memerlukan sumber data kepustakaan yang diperoleh dari buku, jurnal dan artikel. Sejak tahun 2013 hingga 2024 jumlah penelitian dengan topik green tax terindeks google scholar masih terbatas yaitu berjumlah 45 artikel. Pada tahun 2022 merupakan jumlah penelitian green tax terbanyak dengan jenis penelitian kualitatif paling banyak digunakan sebagai dasar analisis topik green tax saat ini. Topik pajak karbon sebagai alternatif kebijakan mengatasi emisi yang paling banyak dibahas. Kajian literatur menjadi instrumen yang paling sering digunakan dan teknik analisis data menggunakan analisis deskriptif adalah yang terbanyak. Penelitian ini diharapkan dapat memberikan kontribusi sebagai dasar untuk pengembangan ilmiah dan dapat memberikan ide terkait topik baru di masa depan terkait green tax sehingga jumlah penelitian di Indonesia terus meningkat.