bluuebunny/crossref_metadata_2025 huggingface dataset:
Crocin Monotherapy in Non-Central Diabetic Macular Edema
Authors: Mojtahedzadeh Mojtaba , Manaviat Masoud Reza , Mirjalili Seyed Reza , Sahebnasagh Adeleh , Ardani Mohammad Khan , Hoseinzadeh Farahnaz , Saghafi Fatemeh
Published: January 2025

Background: Crocin can be utilized as an anti-inflammatory component of Saffron in diabetic macular edema (DME), which is known as the most common cause of vision loss in patients with diabetes mellitus (DM). Although anti-vascular endothelial growth factor (VEGF) agents are common in non-center involving DME (NCI-DME), there is no consensus on NCI-DME treatment.
Methods: This before-after study was performed from October 2019 to August 2021. Twenty-six eyes of 16 patients with type 2 DM in Baghayipoor Clinic in Yazd, were treated with 15 mg crocin per day for 90 days. Patients had at least one eye with non-proliferative DR (NPDR) and NCI-DME along with no adherence to intravitreal injection or a contraindication of intravitreal injection. Central subfield thickness (CST), visual acuity, fasting blood sugar (FBS), and HbA1c were assessed once before and once after the study (day 90).
Results: After 90 days of therapy, the mean CST significantly decreased to 2.8 μm (P-value=0.030), four patients had increased CST and 1 patient had a significantly decreased CST (≥25μm). The mean Logarithmic Minimum angle of resolution increased during the study. The Mean (±SD) FBS showed a significant improvement during the study from 174.7 (±60.41) at baseline up to 161.8 (±47.7) at day 90 (P-value = 0.012). HbA1c had no significant reduction. Nausea/vomiting and insomnia were among the reported adverse effects. Nevertheless, no one withdrew from the study because of the adverse effects.
Conclusion: This study suggests Crocin's positive impact on NCI-DME. It may also improve the glycemic profile of diabetic patients; however, more high-quality randomized clinical trials with larger sample sizes and longer durations are needed for validation.
Evaluation of the Costs and Outcomes of COVID-19 Therapeutic Protocols in Critically Ill Patients in Alzahra Hospital, Isfahan, Iran
Authors: Davari Majid , Mousavi Sara , Maracy Mohammad Reza , Khorasani Elahe , Zamani Masih , Amirsadri Mohammadreza
Published: January 2025

Background: During the COVID-19 pandemic, different drug protocols were used to treat and manage patients. Considering the diversity in these protocols and the high costs associated with the disease, we aimed to evaluate the costs and effects of the most common therapeutic protocols among critically ill COVID-19 patients.
Methods:  In this retrospective cross-sectional study,  a total of 235 critically ill COVID-19 patients  were randomly selected from those hospitalized in the Intensive Care Units of Alzahra Hospital, Isfahan, Iran, between July and December 2020. The study assessed demographic data, outcomes (mortality rate), severity of the disease (SOFA score), and average direct costs of each therapeutic regimen. Statistical analysis included Cox-Regression analysis and Kaplan-Meier survival curve.
Results: We identified 21 therapeutic protocols based on prescribed medications, with six protocols being the most commonly used. The protocol containing dexamethasone + methylprednisolone showed the highest survival probability (0.79) with a median length of hospital stay of 17 days. Cost evaluation revealed that the dexamethasone protocol had the lowest average cost per patient, while the dexamethasone + methylprednisolone + remdesivir protocol had the highest. Hoteling costs accounted for 45% of the total costs, followed by medication costs (25%).
Conclusion: The dexamethasone + methylprednisolone therapeutic regimen demonstrated the highest effectiveness in terms of survival probability and was also associated with the lowest average cost per patient.
The Influence of Creativity and Self Efficacy on the Performance of Culinary MSMES with Entrepreneurial Orientation As A Mediating Variable(Survey on Culinary MSMES in Surakarta)
Authors: Rahadhini Marjam Desma , Lamidi  , Akbar Abu Bakar
Published: January 2025

The purpose of this study was to analyze the effect of creativity and self efficacy on the performance of culinary MSMEs with entrepreneurial orientation as a mediating variable in culinary MSMEs in Surakarta. The population of this study were 96 owners of culinary MSMEs in Surakarta. The data collection technique used a questionnaire and used accidental sampling techniques. Data analysis techniques using PLS. The validity test uses convergent validity and discriminant validity tests with outer loading> 0.70 and AVE> 0.50. Reliability test using Cronbach's Alpha and CA value> 0.70. Goodness of Fit, NFI, Direct Effect and Indirect Effect in accordance with the required criteria. The results of this study indicate that creativity and self efficacy have a significant effect on entrepreneurial orientation, creativity and self efficacy have a significant effect on MSME performance, entrepreneurial orientation has a significant effect on MSME performance, and entrepreneurial orientation mediates the effect of creativity and self efficacy on the performance of culinary MSMEs in Surakarta.
Socio-anthropological analysis of the new form of justification for the choice of compressed earth block for the construction the housing masonry in Ouagadougou, Burkina Faso
Authors: Zoungrana Ousmane , Bologo/Traore Maïmouna , Nshimiyimana Philibert , Messan Adamah , Pirotte Gautier
Published: January 2025

This article builds on the basic reflections initiated to study the logics and motivations that justify the choice of CEB as masonry for housing construction in Burkina Faso. Few sociological studies have been carried out in relation to the construction methods using CEB. Through a qualitative approach, semi-directive interviews were conducted with a minority of users of CEB who have very high economic and cultural capital. The article shows that the construction using CEB among a fraction of the elites is based on four main interconnected forms of justification: i) a technical justification based on ecological reasoning, ii) a culture of social distinction and a quest for social prestige and conspicuous consumption, iii) an identity-based justification based on a desire to re-appropriate autochthony and "reimagined authenticity" iv) and a justification that transcends that of autochthony through post-materialist values linked to the global issues of the sustainable development goals (SDGs). In view of these new forms of justification, the article shows that one of the ways of disseminating CEB in Ouagadougou would be through the dissemination of ecological reasoning in the public space.
Asthma Disease Prediction Using Regression Tree Method
Authors: Christi Yustisia Lisa , Hoendarto Genrawan , Tjen Jimmy
Published: January 2025

Asthma is a common, chronic inflammatory disorder of the airways that affects an estimated 339 million people worldwide. Diagnostic approaches for asthma usually fail in clinical practice, partly owing to the multifactorial spectrum of the disease. This study reveals a new diagnostic algorithm where regression trees along with entropy-based subset selection(E-SS) are combined for more reliable and accurate asthma diagnosis. E-SS helps to filter out the most important features from high-dimensional datasets and avoids possible overfitting of the rate up to 91.304%, which is higher than other algorithms like Bayesian Network of 83.3%. The strength of this model is that it can capture complex (non-linear) interactions efficiently between the variables and therefore would be efficient, in particular for asthma prediction. Moreover, it is a more patient-centered methodology where risk factors of each individual are targeted. The model could aid in the diagnosis and treatment of other chronic diseases outside asthma, further alleviating global health care systems.
Heart Disease Prediction with Decision Tree
Authors: Nicholas  , Hoendarto Genrawan , Tjen Jimmy
Published: January 2025

Heart disease remains a major global health issue, which emphasizes the need for accurate prediction models to aid early diagnosis and effective intervention. This study explores the use of a Decision Tree algorithm to predict heart disease. The dataset used consists of 272 entries, with seven key variables including age, sex, blood pressure, cholesterol, fasting blood sugar, maximum heart rate, and ST depression. The data underwent preprocessing to handle missing values and convert categorical data into numerical format. The model was trained with 80% of the data and tested with the remaining 20%. Evaluation metrics such as accuracy, precision, recall, and f1-score, were used to evaluate the model’s performance. The results demonstrated the model’s efficacy, achieving an accuracy of 81.48%, a recall of 82.93%, a precision of 91.89%, and an f1-score of 87.18%. These results highlight the potential of the Decision Tree Algorithm in heart disease prediction, particularly for its simplicity and interpretability. Despite the study’s limitations, such as the small dataset size that could affect generalizability, this study demonstrates significant predictive potential and a strong foundation for future work. Future research should explore alternative machine learning algorithms to improve prediction accuracy and enhance the model’s robustness for real-world application.
The Impact of Knowledge Transfer, Partnership Development, Logistic Integration and Information Sharing on Improving Supply Chain Agility
Authors: Dewi Dian Retno Sari , Tait Elizabeth , Natalia Lorensia Putri , Asrini Luh Juni , Sianto Martinus Edy
Published: January 2025

This paper explores the impact of knowledge transfer (KT), partnership development (PD), logistics integration (LI), and information sharing (IS) on enhancing supply chain agility (SCA). This study empirically examines a framework that proposes the influence of four capabilities on supply chain agility. Data were gathered from 400 official motorcycle service partners in Indonesia, all of whom are branch managers with over a year of work experience. The data were analyzed using structural equation modelling. The results of this study show that KT, PD, LI, and IS positively affect SCA. The theoretical contribution of this study lies in its ability to demonstrate that these four capability factors can enhance supply chain agility performance. The second contribution is the utilization of the standard loadings of the items to recognize the relative importance of each capability in improving SCA. This allows motorcycle industry practitioners to more effectively assess how to leverage these capabilities to enhance their supply chain agility.
Early Prediction of Alzheimer’s Disease using Random Forest and E-SS Algorithm
Authors: Chaily Kevin , Valentino Victor , Tjen Jimmy , Hoendarto Genrawan
Published: January 2025

Alzheimer Disease (AD) is a neurogenerative disorder that progressively damages the nervous system. Early detection of AD is crucial, as it allows patients to receive therapy at an earlier stage, helping to slow the progression of the disease. This research proposes a model with improved effectiveness and accuracy by combining Random Forest with Entropy-based Subset Selection (E-SS). E-SS is used to identify subsets of parameters that correlate with each other based on entropy. The results show that the combination of Random Forest and E-SS outperforms traditional Random Forest, Decision Tree, SVM, and k-NN models, achieving an accuracy of 95.81% while reducing the number of parameters from 33 to 29. This demonstrates that the proposed algorithm could be applied in the medical field, improving predictive accuracy by eliminating parameters with weak correlations to the disease.
Implementation of Hybrid Genetic Algorithm for Solving the Teacher Placement Problem
Authors: Wirayanti Ni Komang Ayu , Sriwindono Haris
Published: January 2025

The teacher placement problem is a combinatorial problem that would take a very long time to solve in a deterministic way.  In this study, the problem will be solved using a hybrid genetic algorithm, which combines genetic algorithms with local search methods.   The genetic algorithm operators used include roulette wheel selection, two point crossover, and scramble mutation.  While the local search used is reverse, insert, and swap local search. The results showed that from the three experiments using hybrid genetic algorithms, it was found that hybrid genetic algorithms were more effective than ordinary genetic algorithms.  The use of hybrid genetic algorithm with swap local search technique produces the best total minimum distance (10099.09 km) at a mutation probability ratio of 1:250, number of chromosomes 10, and number of iterations 500. The hybrid genetic algorithm can improve the placement of teachers and is expected to contribute to improving the quality of education in Magelang district where the primary data is obtained.
Impact of Foreign Direct Investment (FDI) and Idiosyncratic Risk on Economic Growth and Clean Energy Development in ASEAN Countries: An Empirical Analysis
Authors: Asri Marselinus
Published: January 2025

This study aims to review The relationship between foreign direct investment (FDI), idiosyncratic risks, and economic growth in ASEAN Countries. It seeks to provide insight into how FDI and associated risks affect economic development and the achievement of the Sustainable Development Goals (SDGs). The theoretical framework is based on endogenous growth theory, which posits that FDI contributes to economic growth through technology transfer, capital accumulation, and skill enhancement. Idiosyncratic risks, characterized by country-specific economic uncertainties, are believed to have a complex impact on growth. Although FDI is often considered a catalyst for economic growth, unique risks pose challenges that can hinder or moderate its impact.
Understanding these dynamics is critical for policymakers wishing to attract FDI and promote sustainable growth—research using quantitative methods, and analyzing secondary data from ASEAN countries. The data set includes 80 observations on GDP growth, specific risks, and SDG indicators. Descriptive statistics and regression analysis were used to explore relationships between variables. Regression analysis indicates that SDG 7 (Affordable and Clean Energy) negatively and significantly impacts GDP growth, suggesting a short-term trade-off between investing in clean and open energy economic expansion. Idiosyncratic risks also have a significant impact on GDP growth, highlighting the need for appropriate risk management strategies. Specific risks play an important role in the process of developing FDI economic growth in ASEAN countries. Policymakers must consider these risks and their interactions with the SDGs to create effective sustainable development strategies. The results highlight the importance of integrating sustainable development and risk management goals into FDI policy. By addressing unique risks, ASEAN countries can better leverage FDI for long-term economic growth.
Enhancing the Quality of Smart Services in E-Government through Job Crafting: A Comparative Study of Two Types of Services in Two Local Governments of Southeast Sulawesi, Indonesia
Authors: Alam Syamsul , Mustafa R. La Ode , Department of Public Administration, Halu Oleo University Muh. Amir , Misrawati  , Taslim Andi Titien Kusuma Ramdhana
Published: January 2025

This study examines the role of Job Crafting in enhancing the quality of smart services in e-government, focusing on two local governments in Southeast Sulawesi, Indonesia: Kendari City and North Konawe Regency. A qualitative research approach is used, employing a comparative case study design to explore the different practices of Job Crafting in these two regions. Data is collected through semi-structured interviews with public service officers and service recipients, providing insights into the implementation of Job Crafting and its impact on service quality. Triangulation will be conducted by cross-checking information from public service officers and service recipients, while member checking and peer debriefing will ensure data accuracy, trustworthiness, and unbiased interpretations through verification with interviewees and expert discussions. The comparative study of Kendari City and North Konawe Regency highlights the role of Job Crafting in improving smart services in e-government. While Kendari's successful implementation has resulted in more efficient, user-friendly services, North Konawe's outdated procedures reveal challenges in technological adoption. The study emphasizes that combining Job Crafting with technology, employee motivation, and collaboration can enhance service quality in local governments. This research contributes to the literature on Job Crafting and e-government by offering practical insights and recommendations for local governments to implement effective strategies to improve smart services and public service delivery.
Exploring the Existence and Social Role of Kiai in the Dynamics of Politics and Democratization in Indonesia
Authors: Syarif Zainuddin , Hannan Abd
Published: January 2025

This study examines the existence and social role of kiai in the dynamics of the constellation of power and the democratization process in Indonesia, both when Indonesia was in the pre-independence period and after achieving independence. To make this study focused, the discussion will be directed to answer three research questions: how to understand and articulate politics in the current democratic system in Indonesia? How and what has the democratic political system in Indonesia been implemented so far, especially since the implementation of the multi-party democracy system after the 1998 reform? How can we read and understand the social role of kiai in the dynamics of politics and democratization in Indonesia? Based on its methodology, this study is a literature review conducted based on the type of qualitative research. Two sets of data are used in this study: primary and secondary. After analyzing the research data based on the theory of political sociology, this study found interesting findings that kiai, although conceptually identical to the socio-religious role as educators and preachers, on many occasions and at the social level, kiai have made significant contributions and contributions beyond the religious realm, even spreading widely to the political realm and the space of democratization in Indonesia. In general, the contribution and social role of the kiai at this level are carried out through two aspects at once, namely, the cultural element and the structural aspect. They play the artistic aspect as organic intellectual figures, namely playing a significant role in strengthening society's integration and social cohesion so that the structure and building of the nation and state remain solid and strong. As for the structural aspect, kiai carries out this role through his involvement in some government structures, starting from the legislative structure to the executive, whether he carries out this role directly or indirectly.
Stroke Risk Factor Prediction using Gradient Boost Method
Authors: William Daniel , Hoendarto Genrawan , Tjen Jimmy
Published: January 2025

Stroke is a major global heart concern, often leading to significant disability or death. Early and accurate prediction of stroke risk can significantly improve patient outcomes. To address this issue, our study employs the Gradient Boosting method to enhance stroke prediction using dataset of 750 records. Key factors analyzed include gender, age, hypertension, heart disease, marital status, work type, residence type, average glucose levels, body mass index, and smoking status; the results identified age as the primary risk factor for stroke, followed by hypertension and smoking history. After preprocessing the data, our model achieves an average accuracy of 77,2% across ten runs, demonstrating strong predictive performance. A decision tree visualization highlights the most critical risk factors associated with stroke. This model aims to assist healthcare professionals in identifying high-risk individuals for early intervention. Additionally, we compare the Gradient Boosting model with other algorithms to determine the most effective predictive approach.
Tree-Based Algorithms performance in Predicting Household Energy Consumption
Authors: Nathanael Ferdinand , Tjen Jimmy , Hoendarto Genrawan
Published: January 2025

Predicting household energy consumption is becoming increasingly important as we strive to manage energy costs and support environmental sustainability. This study takes a close look at how the random forest machine learning method can be used to forecast household energy usage. We used a detailed dataset from the UCI Machine Learning Repository, covering 47 months of minute-by-minute energy consumption data. By comparing Random Forest with other popular machine learning techniques like Gradient Boosting, Regression Tree, Support Vector Machine, and Naïve Bayes, we found that Random Forest stood out for its predictive accuracy, achieving 77.05%. While it does take longer to train, the benefits of accuracy make it a strong candidate for practical energy management solutions. Our findings suggest that Random Forest is particularly well-suited for forecasting household energy needs, providing reliable data that could help optimize energy use and craft effective energy-saving strategies. Looking ahead, future research should aim to improve dataset quality and explore advanced optimization techniques to push prediction accuracy even further.
Performance of juvenile Pangasianodon hypophthalmus cultivated in a recirculating aquaculture system with tanks of different colors
Authors: Boaventura Túlio Pacheco , Santos Fábio, Aremil Costa , Pedras Pedro Paulo Cortezzi , Luz Ronald Kennedy
Published: January 2025

The tanks used in RASs can be manufactured in any color. RAS tank color can have a great influence on fish, with direct impacts on food capture and, consequently, performance and survival. This study investigated the influence of different tank colors on the performance and coloration of Pangasianodon hypophthalmus. Juvenile were cultivated in tanks of different colors (white, blue, and black) for 60 days.One hundred and forty-four juvenile P. hypophthalmus, weighing 2.18±0.5 g and measuring 6.76±0.17 cm in total length, were distributed among three RASs. Each RAS was equipped with a 200-liter rectangular filter, with mechanical and biological filter, a heating and water pumping system and four 30-liter tanks covered with colored adhesive (white, blue or black) that were filled with 28 liters of water. Therefore, each RAS was considered a color treatment (white, blue or black) with four replicates (tanks), which had a density of 0.43 juveniles per liter (12 juveniles in each replicate). Juveniles cultivated in darker tanks exhibited darker coloration. Juveniles cultivated in blue tanks showed higher final weight (FW), total length (TL), and weight gain (WG) and lower feed conversion ratio (FCR). Juveniles cultivated in white tanks had lower TL and higher FCR. In conclusion, P. hypophthalmus juveniles performed better when cultivated in blue tanks.
Bio-geotextiles based acrylonitrile and their evaluation on radish plants (Raphanus sativus)
Authors: Daniel Alcala-Sanchez , Juan-Carlos Tapia-Picazo
Published: January 2025

In this study, two innovative biopolymers (BioP) were investigated for bio-geotextile (BioG) fabrication: an acrylonitrile-2-hidroxyethyl methacrylate-starch terpolymer (ST-AN), and a composite of acrylonitrile-vinyl acetate-chitosan terpolymer (CS-AN) blended with acrylonitrile-methyl acrylate (AN-MA) copolymer. Using wet-spinning technique, bio-fiber (BioF) were produced, characterized and utilized in to construct BioG. BioF based on ST-AN and CS-AN exhibited linear densities of 10.7 and 19.8 denier, bulk densities of 1.21 and 1.16 g/cm³, tensile strengths of 74.7 MPa and 28.5 MPa, elongation of 10.7% and 11.2%, and moisture retention capacities of 88% and 65%, respectively. The BioG made with ST-AN improved soil moisture retention by up to 130%. Radish plants biometric measurement in pots with BioG revealed improvements in growth parameters: leaf length increased by 87%, leaf width by 45%, and stem thickness by 142% compared to controls. These findings highlight the potential of bio-based materials to advance sustainable engineering through innovative strategies in synthesis, processing, and application, offering a viable alternative for the partial or complete replacement of plastics associated with microplastic generation and persistent environmental pollution.
Food taboos among pregnant and lactating mothers in Osisioma local government area, Abia State, Nigeria
Authors: Oguizu Ada Daisy , Nwankwo Monica
Published: January 2025

This research delved into the phenomenon of food taboos among rural pregnant and lactating mothers in Osisioma L.G.A. A total of 262 participants were chosen through a simple random sampling method, and a structured questionnaire was utilized to gather data on the socio-demographic and economic characteristics, family structure, food taboos, and feeding practices of the respondents. The study employed a multi-stage sampling technique. Initially, twenty communities were randomly selected from a pool of thirty. Subsequently, six health centers and two hospitals were purposively chosen from the available eleven health centers and six hospitals, respectively. The findings revealed that cultural beliefs and practices played a pivotal role in the food intake of the mothers. Approximately 44.3% of the mothers acknowledged the existence of food taboos within their vicinity. A quarter (45.4%) of the mothers observed food taboos during pregnancy. Major reasons given by the women as to why they avoided some foods include fear of difficult delivery, fear of abortions and discoloration of the fetal body. Avoiding foods during pregnancy might have long term impact on the mother and baby. The study advocates for the nationwide implementation of nutrition education programs during pregnancy, childbirth, and lactation, emphasizing on the critical nutrients.
Spino-plastic surgery, back to the future
Authors: Martinez Casey , Payne Camryn , Jeger Jonathan L. , Van Spronsen Nicole , Winocou Sebastian , Kalani Maziyar A. , Bohl Michael , Ropper Alexander E. , Reece Edward M.
Published: January 2025

Artificial intelligence (AI) is a powerful computational tool that is being utilized more frequently in healthcare. AI holds promise within surgical practice, including application in the care of challenging patient populations. Complex spine reconstruction requires thorough multi-variable preoperative analysis and then the precise enactment of a surgical plan. Spino-plastics employs vascularized bone grafts (VBGs) to augment spinal fusion in these high-risk patients. In this article, we discuss the great breadth of AI and the tremendous potential for advancing the field of spino-plastics: surgical candidacy and patient selection, imaging and virtual surgical planning (VSP), intraoperative utilization, and future implementation.
Special Issue on Advanced Design and Performance Evaluation of Production Systems
Authors: Matsubara Atsushi
Published: January 2025

The development of machining and measurement systems is increasingly driven by the demands of digital transformation (DX) and green transformation (GX). Addressing the critical challenges across various fields, including design, manufacturing, inspection, maintenance, and recycling, has become essential to meet the requirements of labor reduction, skill-free operation, and efficiency improvement throughout the entire production process. In addition, it is crucial to ensure social prosperity while managing resource consumption by integrating solutions to these challenges. Consequently, the fundamental performance of production-support tools, such as machine tools, assembly machines, industrial robots, and measuring instruments, must be enhanced. It is equally important to enable the seamless flow of design, evaluation, and operational information throughout the value cycle. This special issue features seven papers highlighting the latest advancements in production systems in the following areas:

- Design and analysis methods for machining fixtures

- Machine tool design, simulation, and evaluation methods

- Measurement and monitoring of machining processes

We extend our heartfelt gratitude to the authors for their valuable contributions, and to the reviewers for their meticulous efforts.
Design of a Fixture for Additively Manufactured Workpieces Using Topology Optimization
Authors: Kitagawa Hayato , Furuta Kozo , Yoshida Yasuka , Yamaji Iwao , Kono Daisuke
Published: January 2025

Fixing powder bed fusion (PBF) workpieces during post-processing can be challenging owing to their complex geometries and low stiffness. Despite recent reports, fixture planning of PBF workpieces remains a laborious and operator-dependent process. This study proposes an adhesive-based dedicated fixture (ADF) and its design method based on topology optimization. ADF employs adhesives to fix the workpiece and is manufactured by PBF. To verify the effectiveness and reveal potential challenges, a case study using the designed ADF is presented. The proposed ADF offers a fixture planning solution that does not require specialized knowledge and is applicable regardless of the geometry or stiffness of the workpiece.
Simulation Technique for Coupled Vibration Between Machine Tool Dynamics and Cutting Force: A Method by Simscape Multibody Model and Boolean Operation Between Tool and Workpiece Geometries
Authors: Sato Ryuta , Igarashi Yu
Published: January 2025

To improve the productivity of the machining process, it is crucial to minimize non-productive time during the manufacturing process. For instance, a significant amount of time is often spent troubleshooting issues on-site when machining failures occur, which reduces overall productivity as the machine remains idle during this period. Recently, using virtual environments constructed in computer systems to predict and resolve such problems has become increasingly popular. This approach, often referred to as a “digital twin,” can be highly effective in addressing issues. However, accurately predicting physical phenomena in a virtual environment can be challenging, requiring considerable effort to ensure the virtual model correctly represents real-world behavior. This study presents a technique for simulating coupled vibrations between machine tool dynamics and cutting forces using MATLAB/Simulink, a widely used commercial software. Machine tool dynamics are modeled with the “Simscape Multibody” function, which allows the construction of a multi-body dynamics model by defining mass, inertia, and constraint conditions. Cutting forces and machined surface geometry are calculated through Boolean operations between two geometric shapes represented by polygonal models. Self-excited chatter vibrations are simulated as an example of coupled vibrations, and actual cutting tests are conducted to validate the accuracy of the simulated results. A stability lobe diagram of the chatter vibrations is also generated based on measured and simulated frequency responses. The results demonstrate that the constructed model can accurately predict machining stability and cutting forces.
ANALISA PRODUKSI ENERGI PHOTOVOLTAIC SEBAGAI INFRASTRUKTUR PENGISIAN DAYA MOBIL LISTRIK DI KANTOR DPRD MUARO JAMBI
Authors: Matalata Hendi , Wustha Johar Leily , Yulianto Didik , Sahputra Riki , Rizki Aldiansyah Rioni
Published: January 2025

Sektor otomotif sangat penting untuk mencapai net zero emisi global guna membatasi pemanasan global karena 65% hingga 80% emisi yang dihasilkan berasal dari knalpot dan emisi tidak langsung berasal dari bahan bakar. Pada tahun 2050 volume produksi minyak bumi diperkirakan akan turun 55% dan gas turun 70% dan batu bara tidak akan diproduksi lagi. Untuk itu pemerintahan daerah, khususnya provinsi Jambi dapat menjadi pelopor tentang kesiapan penggunaan kendaraan listrik yang dimulai dari pemakaian/penggunaan mobil-mobil dinas disetiap instansi pemerintah. Kabupaten Muaro Jambi (Sengeti) berjarak 30,4 Km dari kota Jambi, dimana rata-rata pegawai pemerintahannya berdomisili di kota Jambi dan setiap hari menggunakan kendaraan mobil dinas berbahan bakar fosil. Hal ini tentunya menjadi permasalahan keamanan energi global untuk jangka panjang. Pada penelitian ini dilakukan analisis data tentang radiasi matahari dan produksi energi sistem Photovoltaic (PV) menggunakan aplikasi web Photovoltaic Geographical Information System (PVGIS) yang berlokasi di kantor DPRD Muaro Jambi  dimana data digunakan sebagai insfrastruktur pengisian daya untuk 1 unit mobil listrik dalam satu kali perjalanan. Dari hasil penelitian terdapat potensi energi sistem Photovoltaic (PV) sebagai infrastruktur pengisian daya mobil listrik dan memungkinkan untuk 2 unit mobil listrik dengan spesifikasi yang sama,  dikarenakan terdapat energi rata -rata perhari tidak ditangkap sebesar 5512,2 Wh.
Establishing Anti-Sexual Violence Centers to Promote Safe Educational Environments
Authors: Aida Nur , Sukamto Bambang , Perdana Nino Agung , Fauzah Annisa Sarah , Annur Ghinia Yusri
Published: January 2025

Background: Sexual violence in schools, including harassment and body shaming, undermines trust in education. Specific Background: Victims often remain silent due to threats and societal stigma, while prevention efforts in schools are underdeveloped. Knowledge Gap: Effective frameworks for addressing sexual violence in educational institutions are lacking despite existing policies. Aim: This study establishes an Anti-Sexual Violence Information Center (Anti KESEL) to educate and equip educators for prevention and response. Results: Training enhanced educators' knowledge and led to the creation of organizational structures and resources for addressing sexual violence. Novelty: A replicable model combining education, technology, and partnerships was introduced to transform schools into safer environments. Implications: The initiative fosters trust and safety in schools, with potential for broader application in combating sexual violence.
Highlights:

Empowering Educators: Training Pancasila MGMP members equips them to recognize, prevent, and address sexual violence effectively.
Holistic Approach: Integrating education, facilitation, and technology to establish Anti KESEL as a model framework for schools.
Community Collaboration: Partnering with stakeholders ensures sustainable support and broader impact in combating sexual violence.

Keywords: Education, Prevention, Sexual Violence, Anti KESEL
Altura, grosor, y densidad del paladar según biotipo facial en adultos peruanos: un estudio tomográfico
Authors:   , Rodriguez Rimachi Maria Emely
Published: January 2025

Introducción: Los microtornillos necesitan disponer de un hueso adecuado en cantidad y calidad para su estabilidad. El paladar duro es un área de colocación común de microtornillos que podría tener variaciones anatómicas debido al crecimiento vertical. Objetivo: Comparar la altura, el grosor y la densidad del paladar según el biotipo facial mediante tomografías computarizadas cone beam (TCCB). Materiales y métodos: Estudio observacional transversal realizado una muestra de 39 TCCB de adultos de 18 a 50 años (19 mujeres y 20 varones) distribuidos en biotipos faciales según SN-GoGn. Un total de 2340 mediciones entre altura (mm), grosor cortical (mm) y densidad en unidades Hounsfield (UH) se realizaron en 20 puntos, 4 mediales a la sutura (3, 5, 7, y 9 mm) y 5 posteriores al agujero incisivo a 3, 6, 9, 12, y 15 mm. Pruebas de Anova y Kruskal-Wallis fueron usadas para el análisis estadístico de la data a un nivel de significancia de P<0,05. Resultados: Los valores fueron: hipodivergente (altura: 2,16-6,32 mm; grosor: 1,61-2,02 mm; densidad: 1117,28-1182,83 UH), normodivergente (altura: 2,71-9,21 mm; grosor: 1,67-2,08 mm; densidad: 1106,53-1177,86 UH) e hiperdivergente (altura: 2,37-12,32 mm; grosor: 1,62-2,07 mm; densidad: 1088,2-1156,7 UH). Los hipodivergentes en comparación a los hiperdivergentes tuvieron un 60% de puntos de medición con alturas inferiores y un 15% de puntos de medición con corticales adelgazadas y mayor densidad, con diferencias significativas (P<0,05). Conclusión: El biotipo facial se encontró asociado a las características óseas del paladar con mayores alturas y grosores corticales en hiperdivergentes y mayores densidades en hipodivergentes.
How Did China's Digital Rural Policy Rapidly Diffuse? An Event History Analysis
Authors: xiong chunlin , hu siqi , jiang Duo
Published: January 2025

How to achieve the rapid dissemination of digital rural policies has become an important issue for bridging the digital divide in rural areas and realizing the modernization of agriculture and rural regions. This study adopts a dual perspective of policy adoption and internalization, constructing an analytical framework that includes internal demand pull, local government fiscal capacity to support rural development, central authority push, and intergovernmental competition as internal and external driving factors. It collects and analyzes data on the diffusion of digital rural policies among provincial governments in China from 2018 to 2022, employing event history analysis to explore the influencing factors and potential mechanisms behind the dissemination of digital rural policies in different regions of China.The findings reveal that, first, the diffusion of digital rural policies among provincial governments in China exhibits different outcomes at various stages. During the adoption stage, the diffusion outcomes show convergent characteristics, while in the internalization stage, they display divergent and diverse features. Second, in the process of digital rural policy diffusion, only a small number of provinces synchronized internalization with adoption, whereas most provinces adopted a strategy of first adopting and then internalizing.Third, the driving logic behind local governments' adoption and internalization of digital rural policies shares both commonalities and differences. The common driving forces include the intrinsic motivation brought about by population scale, the vertical authority push from the central government, and the horizontal learning and implicit competitive pressures from peer governments.This indicates that the diffusion of digital rural policies at the provincial level in China is driven by pull mechanisms, coercive mechanisms, learning mechanisms, and competitive mechanisms, with local governments employing competitive strategies in the adoption and internalization of digital rural policies.The differences manifest in that local government capacity is a significant influencing factor for adoption but does not notably impact the sustained advancement of policies, highlighting the important tendency to mobilize various stakeholders and activate resources during the internalization stage. These findings illuminate how digital rural policies can rapidly diffuse in China and provide empirical insights for developing countries to accelerate the dissemination of rural digital policies.
LA MALADIE DE THEVENARD : A PROPOS DUNE OBSERVATION
Authors:   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie., Akki H. , Chaouki S. ,   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie., Atmani S. ,   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie., Idrissi M. ,   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie., Souilmi Fz. ,   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie., Abourzak S. ,   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie., Tadmouri I. ,   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie., Hida M. ,   Service de Pediatrie CHU de Fes Exploration de Neuropediatrie.
Published: January 2025

Thevenard disease is a hereditary sensory neuropathy characterized by a progressive distal neurotrophic syndrome. This condition, first described by Denny-Brown as hereditary sensory radicular neuropathy (HSRN), follows an autosomal dominant inheritance pattern. Diagnostic delays and significant comorbidities often render this disease debilitating.We present the case of a patient under pediatric neurology follow-up since 2018 for the management of sensory polyneuropathy, accompanied by pressure ulcers and foot arthropathies. Functionally, the patient was able to walk without antalgic gait. Electroneuromyography revealed sensory polyneuropathy affecting all four limbs. A multidisciplinary approach involving medical and orthopedic treatments was implemented, addressing delayed wound healing and incorporating sensorimotor rehabilitation.Thevenard disease is a rare familial ulcero-mutilating acropathy that affects both sexes and requires comprehensive care across various specialties.
MINIMIZING BATTERY CHARGING TIME FOR MINIHYDROELECTRIC GENERATOR VIA WATER PIPELINE
Authors:   Universiti Selangor, Selangor, Malaysia., Ismail Ibtisam , Abdullah Nadya ,   Universiti Selangor, Selangor, Malaysia., Faisal Abdul Waduth Mohamed ,   Universiti Selangor, Selangor, Malaysia., Handan Rabitah ,   Universiti Selangor, Selangor, Malaysia., Abu Samah Zulkifli ,   Universiti Selangor, Selangor, Malaysia.
Published: January 2025

Mini hydroelectric systems, with outputs up to one megawatt, have emerged as a crucial solution for decentralized and rural energy needs, providing a sustainable alternative to fossil fuels. These systems generate electricity from flowing water, offering reliable and eco-friendly power to off-grid areas. Recent advancements in mini hydropower technology focus on enhancing efficiency, reducing costs, and incorporating innovative materials and energy storage solutions. The integration of current boosters into these systems has gained attention for its potential to improve energy output and charging efficiency, further increasing their feasibility for remote applications. This study explores the design and performance of a mini hydroelectric system integrated with a current booster. The efficiency of the system was evaluated by comparing configurations with and without the booster. Circuit designs were developed and tested using Multisim software, followed by hardware validation. The results reveal that the system with the current booster significantly enhances voltage output, achieving a 43.08% increase in voltage compared to a 10.93% increase in the system without the booster. Additionally, the system with the booster showed a 307.9% improvement in efficiency, demonstrating the boosters effectiveness in optimizing energy output. The research indicates that incorporating current boosters into mini hydroelectric systems can significantly improve their performance, making them more suitable for renewable energy applications, particularly in off-grid and remote areas. By optimizing energy conversion and storage, these systems can provide sustainable, reliable electricity, addressing the growing demand for decentralized energy solutions. Furthermore, the study investigates the design of a mini hydroelectric generator integrated with a water pipeline, aiming to minimize the charging time of a 12 V battery. The results show that while the system without a booster took over 3 hours to fully charge, the addition of the booster reduced the charging time to approximately 1 hour. This research highlights the potential of current boosters in enhancing the efficiency, scalability, and performance of renewable energy systems for real-world applications.
SCENARIO OF NATURAL RUBBER PLANTATION AND PRODUCTION IN TRIPURA: AN ANALYSIS
Authors:   Assistant Professor, Department of Mathematics, Ambedkar College Fatikroy, Tripura, India-799290., Nandi Manish
Published: January 2025

Natural rubber is one of the many natural resources found in the state of Tripura. Tripuras rubber plantations have been growing quickly during the past ten years. Because of rubber plantations and rubber-based enterprises, the socio-economic situation of the people of Tripura is steadily improving. My primary goal in this study is to examine the data that is now accessible regarding rubber plantations, productivity, etc., and to attempt to talk about the fields potential in the future.
10.21474/IJAR01/20053
Authors: Kouakou C.K , Manle T.E , Zaouli BTA , Fondio L.
Published: January 2025

In Cote dIvoire, mango is the 2nd most fruit export after bananas, with national exports estimated at 32,811 tonnes. Ivorian exports of mango mainly concerns three varieties: Kent, Keitt and Amelie. However, other untapped varieties could offer more interesting than those mentioned above. The aim of the present study is tto contribute to the selection of early varieties with characteristics attractive to the European market. The work was carried out over two consecutive years from the 128-variety mango collection of the Centre National de Recherche Agronomique (CNRA) in Lataha. For each variety, the parameters measured concerned fruit evaluation criteria. Statistical analysis was carried out to describe the agro-morphological variability of the varieties. The variances observed between mango trees were significantly explained by fruit mass, width and circumference, Â°Brix and fruit dry matter. The results identified 24 early varieties. Agro-morphological characterization showed that these varieties have a mass (MaFr) ranging from 60.8g to 637.007g. The hierarchical classification resulted in 3 groups: Group III comprises off-caliber varieties (200g) and A-caliber varieties (200 to 350g), Group II comprises B-caliber varieties (351 to 550g) and Group I compares C-caliber varieties (551 to 800g). Their sugar content (BrixFr) varies from 16.05% to 26.08% depending on the variety, offering a wide range of tastes. These results indicate the high potential of these varieties in the selection of new varieties.
INFLUENCE OF TECTONICS ON THE CIRCULATION OF MINERALIZED FLUIDS IN THE EBBA SOUTH ARLIT SECTOR (NIGER)
Authors:   Laboratory of Civil Engineering, Geosciences and Geographical Sciences, Institut National Polytechnique Felix Houphouet-Boigny, Yamoussoukro BP 1093, Ivory Coast., Neino Abdoulaye Garba ,   Department de Geologie, Faculte des Sciences et Techniques, Universite Dan Dicko Dankoulodo de Maradi, B.P.465 MaradiNiger., Dan Makaou Oumarou Abdoulaye ,   Departement des Energies Fossiles, Universite dAgadez (UAZ), B.P. 199 Agadez, Niger., Abass Issa Abdelkader ,   Groundwater and Georesources Laboratory, Abdou Moumouni University, Faculty of Science and Technology, Department of Geology, BP 10662, Niamey, Niger., Yacouba Zakariyaou Seybou ,   Department of Chemical Engineering and Technology, School of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
Published: January 2025

The present work investigated tectonics effects on the circulation of mineralizing fluids in the south Ebba sector. The study of the wells, the evaluation of the indices, the observation of the fronts and facings, as well as the calculation method and the presentation of the indices made it possible to obtain the following results: Maps of the distribution of the values of the organic matter, pyrite, carbonates and oxyhydroxides parameters within the Ebba Sud sector. The maps of the different parameters permitted, on the one hand, to better distinguish the redox aspect of the Ebba south sector and, on the other hand, to highlight the redox front.All results show that the west is less oxidized within the Ebba Sud sector and the east is more oxidized. The interface between these two parts corresponds to the redox front where most of the mineralization is concentrated. The latter was formed by the redox mechanism associated with meteoric fluid circulation with predominant structural control. The structures that have contributed to fluid transmission are brittle accidents, in particular, bend No. 30 and the rheology of the surrounding formation, by exercising control at the scale of the mining sector.