bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF GOVERNMENT POLICY IN HOSPITAL ACCREDITATION THROUGH HEALTH MINISTER REGULATION NUMBER 12 OF 2020
Authors: Widjayanto Indra
Published: February 2025

The Minister of Health's Regulation Number 12 of 2020 concerning Hospital Accreditation aims to improve the quality of health services by establishing minimum standards that hospitals must meet. However, the implementation of this regulation is still considered suboptimal and has numerous shortcomings. This study aims to further analyze the advantages and disadvantages of the implementation of these regulations. This research employs the normative juridical research method. The normative juridical research method involves conducting library research, scrutinizing library materials or secondary data, and referencing the laws that govern hospital accreditation, particularly the Minister of Health Regulation Number 12 of 2020. The study's results suggest that the Regulation of the Minister of Health Number 12 of 2020 concerning Hospital Accreditation offers several advantages, including enhanced quality standards, information disclosure, an objective assessment process, improved hospital management quality, and a focus on patient safety. The shortcomings of the Minister of Health Regulation Number 12 of 2020 concerning hospital accreditation include administrative burdens, high implementation costs, resource gaps, the risk of focusing on processes, and regulatory changes. The proposed recommendations aim to address the shortcomings of the Minister of Health Regulation Number 12 of 2020 concerning hospital accreditation. These include reducing administrative burdens, overcoming high implementation costs, reducing resource gaps between hospitals, ensuring a focus on end results in services, and reducing uncertainty in regulatory changes.
IMPLEMENTATION OF SPIRITUAL TRAINING MIRACLE OF HAPPINESS FOR SUKU ANAK DALAM (SAD) IN MUARA TIKU VILLAGE, MUSI RAWAS UTARA DISTRICT
Authors: Afriantoni Afriantoni , Asnita Roma Nur
Published: February 2025

The community service activity conducted by Raden Fatah State Islamic University (UIN) in Palembang aims to enhance the quality of education for the youth of the Anak Dalam (SAD) tribe in Muara Tiku Village, Karang Jaya District, Musi Rawas Utara Regency, South Sumatra. In an effort to improve the education of SAD youth, a spiritual approach that integrates local wisdom and local religious teachings is considered an effective solution. This community service program, titled "Spiritual Training Miracle of Happiness," will provide support through the Participatory Action Research (PAR) method, which encourages active collaboration between researchers and the community in designing, implementing, and evaluating the program. Through this program, it is hoped that the community can actively engage in the learning process, thereby strengthening internal capacities and promoting sustainable development. SAD youth will receive training that encompasses aspects of spirituality, local wisdom, and practical skills relevant to their daily lives. With a holistic and participatory approach, this program is expected to make a significant contribution to improving the educational quality of the Anak Dalam youth in Muara Tiku Village. The outcomes of this service are anticipated to serve as a foundation for the development of more inclusive and sustainable educational programs for marginalized communities in the region. The program is also designed to address the challenges faced by youth in accessing education, such as limited infrastructure, a shortage of teachers, and low motivation to learn. Improving the quality of youth education is a crucial key to advancing society, especially for communities living in remote and marginalized areas like Muara Tiku Village.
DENTAL AND ORAL HEALTH SCREENING FOR CHILDREN IN KELURAHAN SIMOKERTO, SURABAYA
Authors: Darmadi Eveline Yulia , Fauziah Yessy Andriani , Ramadhani Salma , Budi Nasya Kamila Mutiara
Published: February 2025

Abstract. Oral health issues in children are a significant global public health concern. Factors such as dietary habits, socioeconomic status, and level of knowledge affect the prevalence of dental caries, periodontal diseases, and other oral health conditions. In Indonesia, especially in urban areas like Surabaya, growing attention is paid to children's oral health. This study aimed to assess children's dental and oral health status in Kelurahan Simokerto, Surabaya, and identify associated risk factors. The sample is 38 children aged 3-11 years in Kelurahan Simokerto. Data were gathered through clinical exams. Results showed a high prevalence of dental caries and poor oral hygiene practices, such as infrequent brushing and limited flossing. Socioeconomic factors, including parental education and household income, were linked to the children's oral health status. These findings highlight the need for targeted oral health promotion programs in Kelurahan Simokerto, focusing on improving oral hygiene practices, encouraging regular dental check-ups, and addressing socioeconomic determinants of oral health. The study highlights the need for long-term, community-driven interventions to address dental caries and improve oral health outcomes, as short-term efforts showed no significant changes in DEFT and OHIS frequencies in Kelurahan Simokerto.
SELF LOVE EDUCATION ON TO MAINTAIN MENTAL HEALTH IN THE DIGITAL ERA TO CREATE A PRODUCTIVE, HEALTHY, AND HAPPY YOUNG GENERATION
Authors: Sety La Ode Muhamad , Nurfadilah H Siti , Handayani Listy , Salsabila Syefira , Rohadi Melia Pradita , Arifin Muhammad , Yasmin Dhira Fijri
Published: February 2025

Mental health issues are the fifth largest contributor to the global disease burden and one of the main risk factors for morbidity and mortality among adolescents. This community service aims to increase teenagers' knowledge about the concept of self-love as an effort to maintain mental health. This activity was conducted at SMA Negeri 9 Kendari in November 2024 with the students as a target, totaling 30 people. The stages of this activity consisted of audience/socialization, data collection of prospective participants, identification of mental health issues among students, dissemination process (self-love education and distribution of flip charts, leaflets, and posters Medias to the school and Benu-Benua Health Center). As well as evaluation using the comparison of pre-test and post-test scores. All stages of this activity went well and smoothly, the school fully supported this activity, and the participants showed high enthusiasm during the education and discussion process. The evaluation result shows an increase in students' knowledge about self-love as an effort to maintain mental health after the education was conducted. Thus, it is hoped that schools and community health centers will regularly provide education on self-love to all students or adolescents to address potential mental health risks.
PREVENTION OF HEALTH PROBLEMS THROUGH TRAINING AND HEALTH SCREENING OF OIL PALM FARMERS AND FAMILIES IN THE AIR TERBIT VILLAGE, KAMPAR
Authors: Isnaniar Isnaniar , Putri Silvia Elki , Deviona Deviona , Widiyanto Juli , Soeprat Soeprat , Alfidin Alfaizun Nur , Indrihastuti Melvi Lusia , Afif Syahrotul Hayati Kamal
Published: February 2025

Oil palm workers are a work group at high risk of experiencing health problems. Health problems experienced by oil palm farmers include being pricked by oil palm thorns, pain in the nape, shoulders, and hips, dizziness, headaches, and the risk of non-communicable diseases (NCDs). Oil palm farmers in Desa Air Terbit have never received training related to preventing health problems and rarely undergo health checks. The partners for this activity are the Tani Groups at Air Terbit Village. The solution to this problem is the provision of health education media using videos; Training in preventing health problems for oil palm farmers and their families; Health checks; and Involvement of stakeholders and partners in activities. Activities are carried out offline in Air Terbit Village. The results of the activity show an increase in understanding and skills of oil palm farmers in preventing health problems in oil palm farmers as well as data on health problems experienced. It is hoped that this activity can be useful in aspects of health, agriculture, economy and family welfare, as well as information system technology through health digitalization.
THE APPLICATION OF BIOMASS STOVES AMONG THE BERKAT RAMA FARMER GROUP IN BIBIOSI VILLAGE, ARSO DISTRICT, KEEROM REGENCY
Authors: Pongsapan Allo Sarira , Allo Rombe , Mangallo David , Pagasis Thomas , Palamba Pither , Joni Joni , Rantepulung Selyus , Membala Semuel Boron , Tambing Enos , Siregar Samuel Parlindungan , Kariongan Yakobus , Mangopo Dultudes , Kati Oktavianus
Published: February 2025

This community service activity aims to introduce biomass stoves to communities in need, particularly those with abundant biomass waste. The biomass stove's performance has already been evaluated through prior research conducted on campus. This community service initiative will be carried out with the Berkat Rama farmer group in Bibiosi Village, a major corn production area near Cenderawasih University in Arso District, Keerom Regency. Based on preliminary site assessments, local farmers reported significant quantities of agricultural waste, specifically corn cobs, left after harvest. This waste has not been optimally utilized by farmers and is typically disposed of by burning. Motivated by this, our community service team from the Department of Mechanical Engineering at Cenderawasih University aims to introduce corn cob-fueled biomass stoves to the local community. The Community Service Program (PKM) was met with strong enthusiasm from participants, who actively engaged in the socialization session through to its conclusion. The community expressed a desire for more frequent activities of this kind to broaden their knowledge and skills, especially regarding appropriate technology applications. The final outcome of this community service is an increase in both knowledge and skills among members of the Berkat Rama farmer group, specifically in the fabrication and operation of the introduced biomass stoves. They also received training in operational safety for biomass stoves. The acquired knowledge and skills are expected to be applied and shared with other community members and farmers in the area.
TRAINING ON PRODUCT DEVELOPMENT AND BRANDING STRATEGY FOR KAMPUNG MANDIRI SUSU SAPI PERAH
Authors: Hariani Dina , Rahardian Wildan Rizky , Utami Indri Putri , Rahmaniyah Nisa
Published: February 2025

Bogor City has the potential for natural, cultural, and culinary tourism, including Thematic Tourism Villages. One of the villages that has the potential to be developed as a tourist destination in Bogor City is Kampung Mandiri, located in Kebon Pedes, Tanah Sareal District, which features a dairy farm in the middle of the city. This village is easily accessible from Bogor and Jakarta, with its main economy coming from livestock and culinary businesses. The community service activities aim to enhance the skills of farmers and brand Kampung Mandiri. The first training conducted was on Developing Dairy-Based Products, and the second was on Branding Strategies for Kampung Mandiri. These trainings were based on prior observations that the community in Kampung Mandiri lacked product variety and understanding of the importance of branding. As a result of the first training, participants learned to create dairy products such as dairy nuggets, milk candies, and milk mochi. In the second training on branding, Kampung Mandiri will use the logo KAMPUSS (Kampung Mandiri Susu Sapi Perah) as its identity and create an Instagram account for branding purposes. The training has proven to enhance the skills of farmers, members of the PKK (Family Welfare Program), and MSMEs in Kampung Mandiri, based on the results of pre-tests and post-tests conducted after the training.
ENHANCHING DISASTER PREPAREDNESS THROUGH GAMIFICATION: THE MISSION: RESILIENCE PROGRAM IN KENDARI CITY HIGH-RISK SCHOOLS
Authors: Saptaputra Syawal Kamiluddin , Salsabila Syefira , Akifah Akifah , Mustaqim Mustaqim , Ramadhan Muh. Rahmat , Sagala La Ode Hasnuddin S.
Published: February 2025

This study aims to enhance disaster preparedness knowledge and skills among high school teachers and students in Kendari, Southeast Sulawesi, through a gamified educational approach called "Mission: Resilience." With the recognition of Kendari as a high-risk area for earthquakes, floods, and landslides, the project leverages gamification to improve engagement and learning outcomes in disaster readiness. The research involves a Participatory Rural Appraisal method, employing quizzes, flashcards, and simulations to deliver training on hazard mitigation, emergency response, and evacuation processes. Results from the pre and post-tests indicate a significant increase in disaster preparedness awareness and skills among participants. Additionally, the study confirms the effectiveness of integrating practical disaster simulations within the school curriculum. Ultimately, "Mission: Resilience" serves as a model for sustainable educational practices in disaster-prone regions, emphasizing continuous training and infrastructure enhancement to ensure long-term community resilience.
A Practical Study on Cultivating High School Students' Scientific Thinking Using the KWL Model——A Case Study of “The Discovery of Growth Hormone”
Authors: Wang Quanxiu , Peng Bo , Yang, et. al. Ni
Published: February 2025

The General Biology Course Standards for Senior High School (2017 Edition Revised in 2020) require the cultivation of students’ core biological literacy from four aspects: life concepts, scientific thinking, scientific inquiry, and social responsibility. Scientific thinking literacy helps students use biological facts and evidence to explore and explain life phenomena and laws, and examine or demonstrate biological and social issues. The KWL (know want learned) model, with the help of KWL forms, is conducive to students’ active construction of knowledge and development of thinking ability, which is a new attempt to cultivate students’ scientific thinking. In order to investigate the effectiveness of KWL mode in cultivating high school students’ scientific thinking, based on mastering the current situation of biology teachers and students’ scientific thinking in practice schools through interviews and questionnaires, this paper selected the high school biology "auxin discovery" for the teaching practice of KWL mode, and analyzed the role of the application of this mode in the process of cultivating students’ scientific thinking through educational experimental research method. The main results are as follows: (1) the application of KWL mode in high school biology teaching is conducive to cultivating students’ scientific thinking. (2) KWL mode is conducive to the development of students’ induction and generalization, model and modeling, and critical thinking. (3) KWL teaching mode can help student’s better study biology.
USER ACCEPTANCE OF TERMS & CONDITIONS AND PRIVACY POLICY: A LEGAL ANALYSIS OF THE POSITION OF FOOD DELIVERY MOBILE APPS IN THE MALAYSIAN CONTEXT
Authors: Al Rezan Mohammed Ibrahim , Md. Mostafa Hosain  , Mohammad Ershadul Karim
Published: February 2025

Mobile applications, which are popularly known as ‘mobile apps’ are software applications generally used on wireless computing devices such as smartphones or tablets. Since tech giant Apple’s launch of the iPhone in 2007, these mobile apps are getting more attention across nations with the advancement of mobile internet, smartphone technologies, and navigational services. Food delivery mobile apps (FDAs) facilitate convenient and quick food delivery to customers and provide restaurants with better opportunities to generate more revenue without having to increase the seating capacities of their brick-and-mortar outlets. Nevertheless, with these FDAs, users face a myriad of legal problems, including consent mechanisms and the acceptance of the terms and conditions (T&Cs) and privacy policies (PPs). These one-sided conditions warrant investigation from the perspective of consumer protection. This paper aims to uncover the T&Cs and PPs used in the FDAs popular in Malaysia from the perspective of consumer protection and privacy rights, based on the standards of contracts. By adopting a qualitative legal research methodology and analyzing primary and secondary literature, the research has developed several standards and grouped them under the headings of contract standards, contract changes and contract termination to evaluate the T&Cs and PPs of nine of the most popular FDAs in Malaysia. The study analysed the content of the T&Cs and PPs of these FDAs to explore whether they “comply”, “partially comply”, or “do not comply” with the standards developed. The study found that the FDAs failed to comply with these standards, highlighting legislative shortcomings that indicate a lack of supervision in app development processes and compliance. The paper concludes by offering recommendations for policymakers, which included increasing supervisory and monitoring capacity and reforming the relevant legal framework in the future. As the number of FDA users and the frequency of online food ordering have sharply risen in Malaysia, this study is highly relevant for examining the legal aspects, particularly regarding the T&Cs and PPs of these apps.
A képmás és hangfelvételhez való jog aktualitásai különös tekintettel a gyermekeket érintő „sharenting” jelenségére
Authors: Kriston Edit , Tóth Dávid Attila
Published: February 2025

A személyiségi jogok klasszikus rendszerében az utóbbi időben a közösségi média jelenléte jelentős változásokat indukált. Az, hogy az ember saját akaratelhatározásából életének különböző momentumait megosztja a nagyvilággal, már nem újdonság, ugyanakkor amilyen előnyöket jelent a közösségi média felületein való jelenlét, megvannak természetesen az árnyoldalai is. A sharenting jelensége ennek a fokozott jelenlétnek a következménye, amely során a szülők nemcsak a saját, hanem gyermekeikkel kapcsolatos történéseiket, élményeiket, fotóikat, videóikat is megosztják ezen a felületen, sokszor nem kifejezetten a gyermek, hanem esetlegesen a saját érdekeikben. A közösségi média jelenlétének személyiségi jogi vonatkozásai már számos tanulmány vizsgálati tárgyát képezték, ugyanakkor jelen tanulmány sajátossága, hogy a személyiségi jog vonatkozó kérdéseit, különösen a képmáshoz és  hangfelvételhez való jog szabályozását ütközteti a szülő és gyermek közötti családjogi szabályozás hátterével, hiszen a szülői magatartás értékelése  elsősorban a családjogi szabályozás tárgyköréhez sorolható.
From Noise to Clarity: A Hybrid Approach for Image Denoising Using Traditional and Deep Learning Methods
Authors: Spriha Deshpande  , Suman Basavaraj Mukkanagoudar
Published: February 2025

In this study, we explore various image denoising techniques to restore images affected by noise, with a particular focus on traditional and deep learning-based methods. The research compares conventional denoising approaches, including Wavelet Thresholding, Bilateral Filtering, Non-Local Means, and Wavelet Denoising with Bayesian Shrinkage, against state-of-the-art deep learning models, such as DnCNN and U-Net. The performance of these methods is evaluated based on two metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM). Additionally, we investigate the potential of Noise2Noise, a deep learning technique trained without clean images, to enhance the robustness of denoising in adverse weather conditions. The results indicate the strengths and weaknesses of both conventional and deep learning-based approaches, providing insights into their applicability in real-world image restoration tasks.
O corpo, o som e o digital: 3 atividades para aplicativos para smartphone
Authors: Oliveira Marcio Pizzi de
Published: February 2025

Este artigo apresenta 3 atividades que podem ser realizadas por meio dos aplicativos de smartphone Groove box e Music Maker Jam. As práticas envolvem o aprendizado da subdivisão rítmica, o desenvolvimento da percepção dos timbres dos instrumentos e a motivação de aspectos criativos na expressão de imagens sugeridas pelos trechos musicais. Os elementos centrais são conceitos musicais como o timbre, a duração, o andamento e a criação. Os novos recursos disponíveis nas tecnologias digitais têm a possibilidade de aproximar os jovens das possibilidades de criação e performance no âmbito da música. Tais possibilidades podem ser incorporadas por professores que integram a educação básica com o intuito de ampliar as alternativas de aprendizado em sala de aula.
A Hybrid Deep Learning VGG-16 Based SVM Model for Vehicle Type Classification
Authors: Imran Muhammad , Usman Jafar , Khan Muntazir , Khan Abdullah
Published: February 2025

Car classification is important in daily life because there are many distinct types of automobiles made by various manufacturers. Although there are numerous methods for classifying autos, machine learning technologies have not been widely utilized, resulting in low accuracy levels. The goal of this paper is to create a machine learning system that is especially made to categories models of two Pakistan's top automakers, Toyota, and Honda. Ten Toyota models such as Avalon, Land Cruiser, Camry, Corolla, C-HR, Highlander, Prius, Tundra, RAV4, and Yaris and a dataset of Honda automobiles, which also includes 10 models (Accord, Civic, CR-V, Fit, HR-V, Insight, Odyssey, Passport, Pilot, and Ridgeline), are used to evaluate the model's performance. A deep learning-based VGG integrated with support vector machine (SVM) is proposed, utilizing a dataset from Kaggle.com, providing high-definition images for multiple classes. Comparisons with other models such as VGG16, AlexNet, and Convolutional Neural Network (CNN) reveal that the suggested model (VGG16 + SVM) achieves superior accuracy. For the Toyota dataset, the proposed model achieves 99% accuracy, outperforming VGG16 (66%), AlexNet (52%), and CNN (65%). Similarly, for the Honda dataset, the suggested model achieves 98% accuracy, surpassing VGG16 (96%), AlexNet (71%), and CNN (82%). In conclusion, the proposed deep learning-based model demonstrates enhanced accuracy in classifying Toyota and Honda cars, highlighting its effectiveness for image-based classification tasks in the automotive domain.
DebugProGrade: Improving Automated Assessment of Coding Assignments with a Focus on Debugging
Authors: Patel Amit , Joshi Hardik
Published: February 2025

In education, the evaluation of programming assignments is challenging, especially to do with the debugging aspect. Self-grading technologies are unable to capture the level of understanding of students and context-bound responses. In light of these, we created DebugProGrade to take what we normally know about grading and improve it with semantic analysis and keyword extraction. DebugProGrade identified 1000 first-year BCA students who in Google Forms provided their answers to evaluate error detection and solution proposals for a basic C programming assignment. For the explanations’ specificity and for the context-level evaluation, the system employs the SBERT embedding, namely, the sentence-transformer bidirectional encoding representations from transformers. We employ the methods with tuned parameters and apply academic criteria to the evaluations performed by them. Other key functionality in DebugProGrade that should be mentioned is the classification of debugging skills into competence levels providing more comprehensive view of student proficiency regarding bugs which remain unaddressed by traditional grading systems – that is the ability to identify or fix bugs. Upon optimizing the Gradient Boosting Regressor algorithm, it gives outstanding results in terms of evaluating and predicting redshift. The mean squared error is very low with a value of MSE = 0.025107 and the MAE is also quite low with the value 0.031335, overall the high R² score 0.99932 shows that the given dataset has been predicted with high accuracy with reference to the target variable. DebugProGrade precisely flips the paradigm of conventional grading and provides us with even greater understanding of where exactly students are strong.
Optimising Phishing Detection: A Comparative Analysis of Machine Learning Methods with Feature Selection
Authors: Daniel Mohamad Asraf , Chong Siew-Chin , Chong Lee-Ying , Wee Kuok-Kwee
Published: February 2025

Phishing is an act of cybersecurity attack that tricks people into sharing sensitive data. Due to the inefficiency of the current security technologies, researchers have been paying much attention to employing machine learning methods for phishing detection lately. In our proposed solution, the effectiveness of machine learning techniques with feature selection techniques for phishing detection is investigated. To be specific, Random Forest (RF) and Artificial Neural Network (ANN) are integrated with feature selection techniques, Principal Component Analysis (PCA) and Recursive Feature Elimination (RFE). The goal was to identify and classify the model with the highest accuracy. The experiments were evaluated using a dataset of 4,898 phishing sites and 6,157 legitimate sites, with the phishing data sourced from Kaggle.com. Our experiments demonstrate that the combination of RF model with PCA achieved 95.83% accuracy, while the ANN model with PCA reached 95.07% accuracy. The incorporation of PCA and RFE not only optimised the models' predictive performance but also improved computational efficiency. Overfitting can also be reduced. The experimental results also demonstrate that the proposed ANN with PCA method outperforms the state-of-the-art methods. Consequently, this research highlights the potential of combining advanced feature selection techniques with machine learning algorithms to develop robust solutions for phishing detection. Yet, this undoubtedly contributes to a safer internet environment.
Machine Learning Model for Predicting Net Environmental Effects
Authors: Palaniappan Sellappan , Logeswaran Rajasvaran , Khanam Shapla , Zhang Yujiao
Published: February 2025

Environmental sustainability is a global challenge in the face of increasing incidences of disasters affecting communities worldwide. This requires predicting net environmental effects accurately. While various approaches exist, we need more sophisticated prediction models that account for both environmental and social factors. This study presents a proof-of-concept machine learning model for predicting net environmental effects using synthetic data. We developed a multiple linear regression model incorporating nine key features: renewable energy usage, carbon emissions, air quality index, water usage, biodiversity impact, land use, public awareness, and environmental attitudes. We generated a synthetic dataset of 1000 samples using probability distributions and correlation structures derived from environmental literature and expert knowledge. Our model achieved an R-squared value of 0.67, demonstrating moderate predictive power. Feature importance analysis revealed renewable energy usage (coefficient = 0.71) and public awareness (coefficient = 0.44) as significant positive factors influencing environmental outcomes. Model validation included residual analysis and feature importance assessment, with results suggesting reasonable performance within linear regression constraints. Limitations of our study include reliance on synthetic data, assumption of linear relationships between variables, and limited environmental factors. Notwithstanding, our findings provide insights for environmental policymaking, particularly regarding renewable energy adoption and public awareness campaigns. Future work could focus on incorporating real-world data, exploring non-linear modeling approaches, and expanding the feature set to capture more complex environmental interactions. Our research contributes to data-driven environmental assessment by demonstrating the feasibility of combining both physical and social factors in predictive modeling.
Fiber Break Prevention Using Machine Learning Approaches
Authors: Ng Zhan Heng , Tee Connie , Choo Kan Yeep , Goh Michael Kah Ong , Abdul Aziz Nurul Ain , Ngo Hong Yeap
Published: February 2025

Modern fiber-optic communication systems are built around optical fiber, which allows data to be sent by emitting infrared light pulses. It is widely used by telecommunications firms and is essential to the smooth transmission of information in internet communication as well as the transmission of telephone signals. Nonetheless, optical fibers intrinsic fragility raises a problem, especially in areas where building projects are taking place. Especially nowadays construction-related impact and crushing pressures can cause physical damage that jeopardizes the fiber optic's integrity. Therefore, this research emphasizes the necessity of taking preventative and mitigating actions to reduce the possibilities of fiber optic breakages in response to these difficulties by using machine learning approaches. The data collected by an optical fiber sensor and a distributed acoustic sensing interrogator unit (DAS). Five tools are used to simulate fiber break threats on the road surface and the fiber optic signal is denoised by using the bandpass Butterworth filter. The filtered data is then transformed into spectrogram representation and trained by using the machine learning approaches. The results of the experiments in the research achieves the accuracy 99.78% which is a high accuracy which can be potentially applied in classifying the signals of the tools and preventing the breakage of the fiber optic cables.
Predicting Short-Range Weather in Tropical Regions Using Random Forest Classifier
Authors: Palaniappan Sellappan , Logeswaran Rajasvaran , Velayutham Anitha , Bui Ngoc Dung
Published: February 2025

In this paper, we present a Random Forest classifier machine learning model for predicting short-range weather in in tropical regions like Malaysia. Our model uses environmental factors such as temperature, humidity, wind speed, and cloud cover to predict weather conditions like clear skies, rain, and thunderstorms. Tropical weather, influenced by high humidity, fluctuating temperatures, and frequent rainfall, present unique challenges for forecasting accurately. To address these challenges, we trained a Random Forest classifier on a synthetic (simulated) dataset comprising 1,500 samples, each representing a specific weather scenario. Our model achieved an accuracy of 98.66% in predicting short-term weather conditions, identifying cloud cover, precipitation intensity, and humidity as the most influential factors. Our model’s high accuracy demonstrates its potential for predicting short-range weather conditions in tropical regions. Potential applications of the model spans sectors like agriculture, energy, tourism, disaster management, and public health. In agriculture, the model can be used to optimize irrigation schedules and crop management. In the energy sector, it can be used to optimize energy production and distribution. In disaster management, it can alert residents of impending bad weather, so they are more prepared. In the health sector, it can provide timely weather alerts and assist those who are more prone to arthritis and migraine attacks. We can enhance the model by using real-world data and regional customization.
Climate Change Analysis in Malaysia Using Machine Learning
Authors: Subramanian Anishalache , Palanichamy Naveen , Ng Kok-Why , Aneja Sandhya
Published: February 2025

Climate change presents significant challenges to ecosystems, economies, and societies globally. In Malaysia, a tropical country highly dependent on its natural resources, the impacts are evident in altered rainfall patterns, rising temperatures, and extreme weather events. Despite these challenges, many studies still predominantly rely on traditional statistical methods, which limit their capacity for making accurate climate predictions and developing effective policy solutions.This study effectively addresses the existing gap in research by analyzing extensive historical climate data using advanced machine learning (ML) techniques. The primary focus is on accurately forecasting trends in both precipitation patterns and surface air temperature fluctuations. Performance measures like Mean Absolute Error (MAE), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) are used to assess three ML models: Support Vector Regression (SVR), Random Forest Regression (RFR) and Linear Regression (LR). The findings demonstrate that LR performs better than the other models in forecasting patterns of precipitation and temperature. The results suggest a significant increase in temperature and unpredictable patterns of precipitation, and that poses major implications for agriculture, infrastructure resilience, and water management. Malaysia's climate resilience is improved by this research, which promotes data-driven policymaking by assessing current climate adaptation methods and offering practical ideas.
Topical Vitamin E in Modern Skin Therapy: A Comprehensive Review
Authors:   North Cumbria integrated care NHS foundation trust, University of Central Lancashire, UCLAN medical school, United Kingdom, Al Abadie Mohammed , Mahfoudh Marwah , Al-Rawi Al-Hussein ,   The Midlands Medical Academy
Published: February 2025

From generating millions of dollars for its positive role in skin barrier stabilization to recent advancements in burn and wound
management. Vitamin E has been utilized in various experimental and clinical dermatology for more than sixty years. It has
been a target for many researchers due to its role in preventing cell damage from free radical species and its unique antioxidant
properties in the human body. With its importance in the cosmetic world and in clinical implications, there has been numerous
research ranging from basic physiology to photoreception qualities that help shape today’s use of vitamin E. This literature
review aims to present the effectiveness of topical vitamin E application through a combination of recent advancements in
various skin conditions and early clinical trials dating back to 1965 that helped to shape the ongoing formulation of vitamin E.
Understanding and Meeting the Socio-Emotional Needs of Gifted and Creative Students: The Role of School-Based Social Workers
Authors: Samah Mohammed Albargi
Published: February 2025

Gifted and creative students/pupils always exhibit some unique characteristics, both intellectually, emotionally, and socially different from their peers. These pupils might perform well academically, but they continue to face significant Socio-Emotional (SE) obstacles, like increased sensitivity, loneliness, and anxiety, that can prevent the overall progression of these pupils and academic achievement. Socio-emotional necessities, therefore, are critical to the holistic progression of gifted pupils and the realization of their true potential. School social workers are supposed to help such pupils through targeted SE interventions and to develop positive, inclusive school practices. This systematic review synthesizes existing knowledge about the SE necessities of gifted and creative pupils, as well as the critical contribution that the school social worker makes in meeting those necessities. A systematic review of literature was therefore conducted from the 26 studies on the specific SE hurdles faced by gifted pupils, the role of the school social worker, and interventions that may strengthen their SE well-being. In this sense, it is hoped that by laying out evidence-grounded strategies and identifying areas for further research, this review might contribute to the progression of supportive learning environments that would allow gifted and creative pupils to bloom.
سمات التشبیه والاستعارة عند الشاعر قاسم الشمري
Authors: مخلد وناس الزبيدي  , د. رسول دهقان ضاد  , د. حیدر محلاتي  , د. حسن رحماني راد
Published: February 2025

تحظی صور الخیال مكانة مرموقة في الدراسات البلاغية و النقدية لما تؤديه من حيوية و فعالية في بناء الخطابات الشعرية وتحقيق جماليتها. یعدّ التشبیه والاستعارة من أبرز وسائل الخیال ولهما بالغ الأثر فی إیصال العواطف والأحساسیس إلی المخاطب كما لهما دور بارز في بناء الصورة الشعریة. تثیر التراكیب الاستعاریة والتشبیهية انفعالات فنية وجمالية تنبثق من صميم الأشياء، بعيدة عن سماتها الخارجية التي تظهرها سطحية الصورة. من هنا وقع اختيار الباحث علی دراسة‌ التشبیه والاستعارة في قصائد أحد شعراء العراقیین المعاصرین وهو الشاعر قاسم الشمري. یهدف الباحث في هذه المحاولة المتواضعة دراسة التشبیه والاستعارة في مجموعات الشاعر الشعریة بما "الممسك بالريح" و"حروف لم تصل لإبي" و"أخطاء لیست متاحة لمن يشاء" بغیة  کشف السمات الجمالیة لهذه الصور منتهجا المنهج الوصفي التحلیلي حیث  تم إلقاء الضوء علی التشابیه والاستعارات الرائعة في دواوين الشاعر. وفي نهایة المطاف توصَّل الباحث إلی نتائج عدة منها إن الشاعر استطاع توظيف التشبيه بأنماطه المختلفة لخدمة تجربته الشعرية وإيصال رؤيته الفنية والفكرية؛ فقد برزت في شعره التشبيهات الحسية المستمدة من البيئة العراقية والطبيعة المحيطة، حيث استثمر عناصر الطبيعة (كالنخيل والفرات والصحراء) في بناء صوره التشبيهية؛ كما تميزت تشبيهاته بالعمق الدلالي والقدرة على تجسيد المعاني المجردة في صور حسية ملموسة، مما أضفى على شعره طابعاً حيوياً وقدرة على التأثير في المتلقي. کما ویوظف قاشم الشمري الاستعارة المکنية الأسلوب بكثافة وفاعلية، مُوظفاً إياه للتعبير عن رؤيته للعالم ومشاعره تجاهه؛ یتجاوز الشاعر في استخدامه للتشخیص مجرد الزخرفة البغية، ليُحوّله إلى أداة أساسية في بناء المعنى الشعري، فمن خلال منح خصائص إنسانية للأشياء غير البشرية، كالأرض، والليل و... ينجح في خلق صور شعرية مُكثفة، تتميز بالحيوية والديناميكية.
مجتمعات التعلم المهنية وعلاقتها بالمناعة التنظيمية في المدارس الحكومية بمدينة حائل
Authors: فاطمة سالم التميمي  , مرام عثمان الخضير
Published: February 2025

هدفت الدراسة إلى التعرف على درجة ممارسة مجتمعات التعلم المهنية، ومستوى المناعة التنظيمية، والتوصل إلى طبيعة العلاقة بينهما من وجهة نظر المعلمات في المدارس الحكومية بمدينة حائل. ولتحقيق أهداف الدراسة استخدم المنهج الوصفي الارتباطي وأداة الاستبانة التي طُبقت على عينة عشوائية بسيطة قوامها 366 معلمة. وقد توصلت الدراسة إلى أن درجة ممارسة مجتمعات التعلم المهنية في المدارس الحكومية بمدينة حائل كانت عالية، وكذلك كان مستوى المناعة التنظيمية مرتفعًا. كما كشفت الدراسة عن وجود علاقة ارتباطية قوية بينهما. وبناءً على هذه النتائج أوصت الدراسة بعدد من التوصيات.
أبواب الحرمين الشريفين في العهد السعودي كمنطلق فني لاستحداث مشغولة معدنية بالمينا
Authors: أ. عائشه بنت فهد بن منصور الصبحي  , أ.د. خالد أبو المجد أحمد آدم
Published: February 2025

هدفت الدراسة إلى تقديم مدخل في التشكيل المعدني بالمينا مستوحى من أبواب الحرمين الشريفين في العهد السعودي، واستحداث مشغولة معدنية بالمينا تستند إلى الاستفادة من الوحدات الجمالية الموجودة في أبواب الحرمين الشريفين في العهد السعودي، وقد اعتمدت الدراسة على التجربة الذاتية في تقديم الممارسات التجريبية بأسلوب التشكيل بالمينا الباردة وعددها (11) والتطبيقات الذاتية بأسلوب التشكيل بالمينا البارد وعددها (10)، وتتبع الدراسة المنهج الوصفي التحليلي في الإطار النظري والمنهج التجريبي في إطاره العملي، وتبينت الأساليب الإحصائية إلى أنّ نسبة (94.27%) من إجمالي لجنة المحكمين يوافقون بشدة على طرق للاستفادة من أبواب الحرمين الشريفين في العهد السعودي كمنطلق للتشكيل المعدني بالمينا، وأن نسبة (93.98%) من إجمالي لجنة المحكين يوافقون بشدة على أنه يمكن الاستفادة من هذه التطبيقات لاستحداث مشغولة معدنية بالمينا، ومن أهم النتائج تتنوع الأبواب بين مصراع واحد أو أكثر وفقاً للحاجة المعمارية، وفي الحرمين الشريفين استخدم النحاس المذهب والخشب الممتاز مع تقنيات متقدمة لضمان المتانة والجمال، وتعدد الأبواب في الحرمين الشريفين يهدف إلى تسهيل دخول وخروج المصلين وتخفيف الازدحام خاصة في أوقات الذروة، كما يعكس تطور التصميم المعماري استجابة لتزايد أعداد الوافدين، يعزز هذا التعدد من توزيع الكثافة السكانية المحيطة ويوفر وصولًا ميسرًا من كافة الجهات، كما يحمل التنوع في أسماء ومواقع الأبواب دلالات رمزية ودينية تعزز من قدسية المكان وتاريخيته، وتوصي الباحثة إلى: التركيز على المفاهيم الجماليات والهندسة المعمارية وتنوع أبواب الحرمين الشريفين كإرث حضاري إسلامي، وتكثيف البحث في جماليات الحرمين الشريفين، مع التركيز بشكل خاص على الأبواب، بهدف تعزيز الإبداع والابتكار في مختلف مجالات الفنون، استخدام تقنيات تشكيل المعادن بالمينا ودمجها معاً لتعزيز الإبداع والابتكار.
البعد الثقافي لمكونات الرقص الشعبي
Authors: أ.أحلام بنت عمر بن عبد المحسن السائح  , د. شذا بنت براهيم عبدالله الاصقه
Published: February 2025

يُعَتَبَر الفن الشعبي تعبيرًا صادقًا عن مشاعر الشعوب فهو يعبر عن ماضيهم وحاضرهم، ويحمل بطياته مضامين تعكس مشاعر واحاسيس ترتبط بفكر وثقافة تلك الشعوب ومجتمعاتها، ويعد الرقص الشعبي من أهم الفنون الشعبية لما يحمله من قيم وعادات وايديولوجيات المجتمع، ومن هذا السياق سعى البحث الحالي لدراسة العرضة النجدية للوصول الى ابعادها الثقافية، حيث هدف البحث للتعرف على مفهوم الرقص الشعبي، وتحديد مكونات العرضة النجدية، لإيضاح البعد الثقافي للعرضة النجدية. وتكمن أهمية البحث في الدور المحوري الذي يقدمه الرقص الشعبي بشكل عام والعرضة النجدية بشكل خاص كفن من الفنون الشعبية. واتبع البحث المنهج الوصفي التحليلي. توصل البحث لعدد من النتائج من أهمها أن الرقص الشعبي يعد ظاهرة ثقافية تحمل رموزاً ومضامين دينية واجتماعية وفكرية وبيئية تشكل النسيج الحضاري لمختلف الشعوب، وأكد البحث على وجود ابعاد ثقافية للرقص الشبعى بصفة عامة والعرضة النجدية بالخصوص. كما أبرز البحث اهمية العرضة النجدية في احياء لمشاهد الحروب والمعارك وحفظها في الذاكرة واحتفاء بالحاضر العظيم للمملكة العربية السعودية.
علاقة الألكسيثيميا بقلق المستقبل لدى الأحداث الجانحين في الضفة الغربية – فلسطين
Authors: عبد الكريم عشيره
Published: February 2025

هدف البحث إلى التعرف على مستوى كل من الالكسيثيميا وقلق المستقبل لدى الأحداث الجانحين في الضفة الغربية بفلسطين.، والتعرف على طبيعة العلاقة الارتباطية بين الألكسيثيميا وقلق المستقبل لدى الأحداث الجانحين في الضفة الغربية بفلسطين. واعتمد البحث على المنهج الوصفي الارتباطي، واستخدم البحث أداتين تمثلت في (مقياس تورنتو للألكسثيميا لـــ Bagby et al, 1994 - مقياس قلق المستقبل لـــ عايدة جبران، 2019). وتمثلت عينة الدراسة في (85) من الأطفال الأحداث الجانحين من الضفة الغربية في فلسطين. وأشار البحث إلى وجود مستوى مرتفع من الالكسيثيميا وقلق المستقبل لدى الأطفال، كما أشارت الدراسة إلى وجود علاقة ارتباطية موجبة دالة إحصائيًا بين كل من الالكسيثيميا وقلق المستقبل لدى الأطفال. وأوصت الدراسة بالاهتمام بدراسة الالكسثيميا لدى الأحداث الجانحين واعتبارها أساساً في درجة تكيفهم مع الظروف داخل المؤسسات التأهيلية والاصلاحية. وتدريب العاملين في مراكز التأهيل والإصلاح للأحداث الجانحين على تطبيق البرامج النفسية المتخصصة في تزويد الاحداث بالكفايات الشخصية والاجتماعية اللازمة لحمايتهم من العودة إلى السلوك المنحرف.
Efficacy of phospho-vermicompost, biofertilizer, biopesticides and their integration against root rot of lentil
Authors: Farthouse J , Hasna M K , Khalil M I , Haque M M , Nabi M K E , Haque M A
Published: February 2025

Lentil is a valuable leguminous crop with high nutritional content, but it is susceptible to various soil-borne pathogens, including root rot, which can severely impact its yield and quality. In pursuit of sustainable and environmentally friendly agricultural practice, this study aimed to evaluate the efficacy of BINA phosphor-vermicompost, Biofertilizer BINA-LT-17 (Rhizobium leguminosarum), BINA biofungicide (Trichoderma asperellum), and their integration in managing root rot of lentil under field condition. Results from the study demonstrated that the application of phosphor- vermicompost (2 ton/kg) during final land preparation, seed coating with Biofertilizer BINA-LT-17(peat soil-based Rhizobium leguminosarum) and soil application of chickpea bran based BINA biofungicide (Trichoderma asperellum) significantly reduced root rot incidence while enhancing plant vigor and yield. This integrated approach demonstrated a synergistic effect, suggesting that combining organic amendments with beneficial microorganisms, including both Rhizobium and Trichoderma, can provide a comprehensive strategy to control root rot in lentil.
Bangladesh J. Nuclear Agric, 38(2): 65-80, 2024
Analisis Pengaruh Merek dan Harga terhadap Minat Beli Alat Pelindung Diri (APD)
Authors: Arief Ronny Firdiansyah , Sihotang Wan Hendri
Published: February 2025

Pertumbuhan sektor industri manufaktur pada beberapa tahun terakhir menunjukan sinyal positif, ini ditandai dengan meningkatnya aktivitas pembangunan pembangunan proyek dan aktifitas pabrik pabrik yang sedang dibangun saat ini. Hal ini tentunya membawa dapak juga terhadap pembelian Alat Pelindung Diri (APD) yang menjadi kebutuhan wajib dalam melindungi diri dari segala resiko kerja, sehingga menjadi tujuan penulisan untuk menganalisis bagaimana  minat beli (purcase intention) APD dengan pengaruh merek (brand) yang mengunakan variabel brand image, brand experience, brand trust dan harga (price) yang ada dipasaran.
Penelitian menggunakan metode deskriptif kuantitatif dengan perangkat lunak Smart Partial Square versi 3.0 dengan 304 sampel, didapat simpulan bahwa pada purcase intention APD hanya dipengaruhi oleh brand trust secara langsung, brand image dan brand experience berpengaruh langsung terhadap brand trust, kemudian brand trust mampu memediasi brand image dan brand experience terhadap purcase intention APD, sementara price baik secara langsung atau melalui mediasi tidak berpengaruh terhadap purcase intention APD.
Pengaruh Gerak U-Turn Terhadap Kinerja Lalu Lintas Di Ruas Jalan Pomalaa (Studi Kasus : Jalan Jendral Sudirman Kelurahan Dawi-Dawi)
Authors: Laode Al Tafakur , Syafar Muh. Ismail , Prasetyo Bagus Eko , Ibrahim Khairil
Published: February 2025

One way to facilitate the movement of vehicle traffic is to provide a median opening as a vehicle U-Turn facility. With the u-turn facility, it has an impact on the movement of vehicles in the direction and opposite to the u-turn. A rotating vehicle causes an increase in the volume of the vehicle in the opposite direction. In addition, vehicles that rotate will slow down and form a queue when approaching a u-turn. Vehicles that make a U-turn also need time to pass through the u-turn facility and then converge with the flow of vehicles in the opposite direction. Some of these things show the influence of u-turn facilities on road performance. The study was conducted on a u-turn located in Pomalaa, Dawi-Dawi sub-district, which passed the u-turn for 3 days, namely Monday, Wednesday and Sunday The observation time used in the study was morning at 07.00.08.00 – 08.00.09.00 WITA, afternoon at 12.00.13.00 - 13.00.14.00 WITA, and afternoon at 16.00 – 17:00. – 17.00.18.00 WITA. After calculations were carried out by analyzing data on Monday, the highest traffic volume that made a u-trun in the Tanggetada direction had a degree of saturation (DJ) which was = 0.15 meaning that there was a delay when the vehicle did u-trun had a very good service level or did not exceed 0.85 according to PKJI 2014 standards.and the degree of saturation (DJ) on Monday in the highest Wundulako direction = 0.11. Then the highest side obstacles on Monday in the Wundulako direction with the number of events = 581.1 indicate that the side obstacles fall into the category (T) high, for the highest straight-way traffic volume on Monday namely the direction of Wundulako = 663.85 and the direction of Tanggetada = 596.6. The biggest delay occurred on Monday at 07.00-08.00 amounting to 3.67 sec/skr.
Analisis Stabilitas Lereng dengan Perkuatan Bronjong Menggunakan Metode Kesetimbangan Batas (Studi Kasus: Ruas Jalan Batas Kab. Muna-Kab. Buton Utara)
Authors: Minmahddun Anafi
Published: February 2025

The challenge in road infrastructure development is the potential for slope instability due to topographic conditions, as observed in a road segment in Southeast Sulawesi Province. This study aims to analyze slope stability using gabion reinforcement. A topographic survey and soil investigation using the cone penetration test were conducted to determine the topographic conditions and soil layers to ensure that the landslide mitigation design meets the required criteria. The analysis was performed using the limit equilibrium method to determine the overall slope safety factor, and an internal stability analysis was also conducted to assess the safety of the gabions against potential shear failure, overturning, and bearing capacity failure. The results of the analysis showed that the safety factors for the gabions against shear, overturning, and bearing capacity were 3.33, 11.44, and 5.49, respectively. Furthermore, the global slope stability analysis using the Spencer method obtained a safety factor of 1.70. All the safety factor values meet the required safety factor criteria.