bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Cardiac Health Diagnoses Through Machine Learning Analysis of Phonocardiograms (PCG)
Authors: Popalzai Popal Khan , Khattak Khurram Shehzad , Sohail Anwar Mehmood , Khan Zawar Hussain 
Published: February 2025

Phonocardiograms (PCG) provide a non-invasive approach to analyzing heart sounds, making them vital for the early detection of cardiac issues. However, identifying the most effective machine learning models and feature extraction techniques for classifying PCG signals remains a challenge. This study aims to determine the most efficient and accurate combinations of machine learning models and feature engineering techniques for classifying PCG signals, with the overarching goal of enhancing diagnostic capabilities in heart health. Seven machine learning algorithms—Logistic Regression, Decision Tree, Random Forest, Naive Bayes, AdaBoost, XGBoost, and Support Vector Machine (SVM)—were evaluated. Feature extraction methods such as Mel-frequency cepstral coefficients (MFCC), Linear Predictive Coding (LPC), and Short-Time Fourier Transform (STFT) were applied. Model performance was assessed using metrics including accuracy, precision, recall, and F1-score. The study found that advanced models like XGBoost and Random Forest, particularly when combined with STFT and MFCC features, consistently outperformed others. These models demonstrated superior accuracy and F1-scores, although they also introduced higher computational complexity. The results suggest that sophisticated model-feature combinations, particularly involving XGBoost and Random Forest with STFT and MFCC, hold promise for improving cardiac diagnostics.

Received: 5 July 2024 | Revised: 18 October 2024 | Accepted: 23 January 2025

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement
Popal Khan Popalzai: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data curation. Khurram Shehzad Khattak: Conceptualization, Methodology, Formal analysis, Writing – review & editing, Supervision. Anwar Mehmood Sohail: Conceptualization, Writing – original draft. Zawar Hussain Khan: Methodology, Supervision.
A review on retinopathy of prematurity
Authors: Rashidian Pegah , Karami Shaghayegh , Salehi Seyyed Amirhossein 
Published: February 2025

Background: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. It predominantly affects preterm infants with very low birth weights or extreme prematurity. Aberrant retinal vascular development, driven by hyperoxia and hypoxia-induced neovascularization, is central to ROP pathogenesis. This review explores the relationship between maternal health and ROP, evaluates current prevention strategies, assesses innovations in diagnostic and screening technologies, reviews contemporary treatments, and identifies future research directions.
Methods: A literature review was conducted in the PubMed / MEDLINE, Scopus, Web of Science, and Google Scholar databases using related keywords, i.e., “retinopathy of prematurity,” “retinal development,” “pathophysiology,” “vascular growth,” “complications,” “visual outcomes,” “maternal health factors,” “obstetrics,” “preeclampsia,” “risk factors,” “preterm birth,” “corticosteroids,” “oxygen management,” “treatment strategies,” “laser therapy,” “anti-VEGF agents,” “surgical approaches”, and “artificial intelligence (AI)” and targeting English studies published in the last 20 years. Additionally, the references from the selected articles were manually reviewed. Clinical trials, meta-analyses, systematic reviews, case–control studies, case series, narrative reviews, pilot studies, and relevant animal studies were included.
Results: Maternal factors, such as diabetes, smoking, and preeclampsia, along with neonatal factors, such as low gestational age and extreme prematurity, are critical contributors to ROP. Key preventative strategies to reduce the risk of ROP and improve neonatal outcomes include: 1. prenatal care involves screening and managing maternal conditions, providing maternal education, and administering antenatal corticosteroids. 2. Neonatal care encompasses nutritional support, supplementation with essential fatty acids, and regulated oxygen administration. By focusing on these strategies, we can enhance the health of newborns at risk for ROP. Advances in screening, including artificial intelligence (AI)-assisted diagnostics and advanced imaging, are improving early detection. Treatment modalities such as laser photocoagulation, cryotherapy, and anti-vascular endothelial growth factor therapies have shown promise but pose challenges, including recurrence risk and systemic side effects.
Conclusions: ROP continues to pose a major threat to the vision of preterm infants, particularly in regions with limited healthcare resources. Addressing ROP requires multidisciplinary team approaches that integrate obstetric and neonatal care. Preventative strategies, including prenatal care optimization, oxygen management, and nutritional support, are essential. Future efforts should focus on integrating emerging technologies and recent findings to ensure global relevance and currency.
Gerakan PELITA “Peduli Gizi Balita” Di Desa Lengkong Kecamatan Mojoanyar Wilayah UPT Puskesmas Gayaman Kab. Mojokerto
Authors: Rina Nur Hidayati  , Faisal Ibnu  
Published: February 2025

One of the health indicators that is assessed for the success of its achievement of the SDGs (Sustainable Development Goals) is the nutritional status of children under five. The family has an important role in improving and monitoring the nutritional status of children under five. The purpose of this community service is to increase the ability of families to deal with malnutrition in children under five through the PELITA Movement "Care for Children Under-Nutrition". The community service of the PELITA Movement in Lengkong Village, Mojoanyar District, UPT Working Area, Gayaman Health Center, Mojokerto Regency will be held in June-December 2024. The target of the PELITA Movement is 22 families with under-nutrition children under five. The implementation method of this activity includes the preparation, implementation, and evaluation stages. The preparation stage is carried out through permits to the village and socialization to families with under-nutrition of children under five. The implementation stage is fulfilled, to pre-test the family's ability to handle under-nutrition in children under five. The PELITA movement is given through nutrition education and coaching to families through home visits. The final stage is an evaluation (post-test) to determine the family's ability to handle under-nutrition children under five. Family ability increased by 63.6% to good. There was an influence of the PELITA Movement in improving the ability of families to overcome under-nutrition in children under five (P-value 0.001<0.05). Public health nurses can use the PELITA movement approach to accelerate the handling and decrease of nutritional problems for children under five.
Keywords : Children Under Five; Under-Nutrition; Ability, PELITA
Edukasi Media Booklet Meningkatkan Pengetahuan Ibu Tentang Stunting: Penelitian Quasi Eksperimental
Authors: Damayanti Dini , Linda  
Published: February 2025

The growth and development of children during the toddler stage are the foundation for their success in the future. Stunting is one of the indicators of suboptimal growth. Lack of knowledge about stunting is one of the factors influencing its high occurrence. This quasi-experimental study aims to determine the improvement in maternal knowledge about stunting before and after receiving education through a booklet. The study was conducted on 30 respondents, who were given the same questionnaire before and after the intervention, with a 3-hour gap after receiving education using the booklet. Data analysis followed a paired T-test. Based on the research results, it is evident that the majority of respondents are aged 20-35 years, with most being high school graduates and not employed. And the results of the analysis showed that there was an increase in maternal knowledge about stunting before being given booklet media education with an average 76.83% and after being given booklet media education with an average 81.83%, with a p-value of 0.000, indicating significance (p < 0.05). Therefore, it can be concluded that there is an impact of the media booklet education on maternal knowledge about stunting. Providing education through booklets to mothers with young children is beneficial in preventing stunting. Booklets are an effective health education medium as they enhance maternal knowledge about stunting and are practical to carry and read anytime.
Efektifitas Akupresur Titik BL 32 Dan Li 4 Terhadap Tingkat Nyeri Persalinan Kala I Fase Aktif Primigravida
Authors: Wahyuni Sri , Setiawandari Setiawandari , Waroh Yuni Khoirul 
Published: February 2025

Labor pain is a physiological process, but if not managed properly it can cause side effects of labor such as secondary arrest. Acupressure is a non-pharmacological therapy that is effective in reducing problems faced by mothers giving birth, especially primigravida. The purpose of this study was to determine the effectiveness of acupressure points BL 23 and Li 4 on the level of labor pain in the first stage of the active phase of primigravida. The type of research is quasi-experimental with a one group pre-test post-test design. The sample size was 39 mothers giving birth in the first stage of the active phase, taken by accidental sampling from the population of primigravida mothers giving birth in January-March 2024. Measurement of labor pain levels using the Numerical Ranting Scale. The results of the study showed that the average pre-test pain level was 7.23 with a maximum scale of 9, while the average post-test labor pain level was 2.79 with a maximum scale of 6. The Wilcoxon Signed Ranks test results were ρ = 0.00, which means that acupressure points BL 32 and Li 4 have an effect on the level of labor pain, so it can be concluded that the acupressure method of points BL 32 and Li 4 is effective for the level of labor pain in the first active phase of primigravida. Suggestions for acupressure points BL 32 and Li 4 can be applied as a non-pharmacological method to reduce the level of labor pain in the first active phase in basic health services because it is easy, cheap and effective.
AgroWeedGuard : Smart Weed Detection for a healthier Harvest using CNN and Deep Learning
Authors:   . Tech Student , 5Assistant Professor ,LIET [1,2,3,4,5]Computer Science and System Engineering, Lendi Institute of Engineering and Technology, Viziangaram., Keerthi    T.Bhavya Sai 
Published: February 2025

Abstract –

Weed infestation negatively impacts crop yields and increases farming costs. AgroWeedGuard is a smart weed detection system that utilizes Convolutional Neural Networks (CNN) and Deep Learning to identify and classify weeds in agricultural fields. The model processes real-time images to distinguish weeds from crops with high accuracy. By automating weed detection, it reduces reliance on manual labor and minimizes excessive herbicide use, promoting sustainable farming. Experimental results validate the system’s efficiency in diverse field conditions, demonstrating its potential to enhance agricultural productivity and ensure healthier harvests.

Key Words: Image Processing, Machine Learning, Object Detection, Deep Learning, Convolutional Neural Networks and Real-Time Analysis,YOLO V5.

Weed infestation negatively impacts crop yields and increases farming costs. AgroWeedGuard is a smart weed detection system that utilizes Convolutional Neural Networks (CNN) and Deep Learning to identify and classify weeds in agricultural fields. The model processes real-time images to distinguish weeds from crops with high accuracy. By automating weed detection, it reduces reliance on manual labor and minimizes excessive herbicide use, promoting sustainable farming. Experimental results validate the system’s efficiency in diverse field conditions, demonstrating its potential to enhance agricultural productivity and ensure healthier harvests.

Key Words: Image Processing, Machine Learning, Object Detection, Deep Learning, Convolutional Neural Networks and Real-Time Analysis,YOLO V5.
Wall Ease
Authors:   1Assistant Professor, Department of Electrical and Electronics Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore - 641062, India, r R1 Senthil Kuma 
Published: February 2025

This paper presents the design and the development which enables it to autonomously navigate homes, offices, and commercial spaces

without bumping into furniture, walls, or other

objects, thus ensuring smooth, uninterrupted cleaning. Whether in small residential kitchens or large commercial areas, the bot can adapt to the layout and efficiently maintain clean and dry floors. Ultimately, this solution is designed to minimize safety hazards, especially for vulnerable populations such as children and the elderly, while improving hygiene standards. Additionally, by automating the process of spill detection and cleanup, the robot reduces manual labour, making it an efficient and practical tool for maintaining clean floors with minimal human intervention.

machine learning for smarter navigation performance enhancements, are also explored. This project contributes to the growing field

of home automation by providing a reliable

solution for automated household cleaning, making it an ideal tool for modern residential environment.

The integration of smart technology allows users to control and monitor the robot remotely via mobile applications. the Wall Cleaning Robot represents a significant step forward in robotic automation, improving cleanliness standards.

Keywords: Compact design, ESP32, wall cleaning robot, home automation, robotics.
Road Handling Priority Analysis Using Provincial/District Roads Management System Application and Analytical Hierarchy Process Method
Authors: Farida Nur Aini , Nugroho Laksono Djoko , Muhammadun Haris 
Published: February 2025

This study aims to determine the priority of road handling in East Java Province by integrating the Provincial/District Roads Management System (PKRMS) application and the Analytical Hierarchy Process (AHP) method. Road condition data is obtained from PKRMS, including the physical condition of the road, traffic volume, and other parameters. The main criteria used in the AHP analysis are road condition, volume capacity ratio (VCR), connectivity, land use and priority areas of East Java Province. Each criterion was assessed and weighted based on its level of importance to produce road handling priorities. The results showed that the integration of PKRMS and AHP was able to produce a more accurate order of road handling priorities in accordance with strategic needs. In the UPT PJJ Surabaya Road Section, road improvement priorities are arranged based on the Triggered Priority Index (TPI) value obtained from the combined analysis. This research also provides cost estimates for each road section, which helps with more efficient budget planning. With this approach, it is expected that road management in East Java Province can be carried out more effectively, support inter-regional connectivity, and have a positive impact on economic growth.
Road Infrastructure Condition Analysis in Terms of Road Quality in Bengkulu City
Authors: Pujiyono Sugeng , Nugroho Laksono Djoko , Muhammadun Haris 
Published: February 2025

The purpose of this research is to explain the analysis of road infrastructure conditions, in terms of road quality in Bengkulu City. The research method uses descriptive with qualitative approach, Research Subjects, are people and government institutions, key informants are all people or officials related to road infrastructure policy makers, traffic density and road quality, such as traffic police, transportation department, PUPR department, BPS Bengkulu City. The results of the study explain that the level of traffic density in Bengkulu City is categorized as moderate (26 vehicles / km), the population density of Bengkulu City is known to be categorized as moderate, in accordance with the demographic situation (population density) calculated per square kilometer (Km²) in 2024 is 2,600 people / km², the quality of roads in Bengkulu City is well qualified, although there are several road sections that experience cracking. The occurrence of road cracks is found on 15 (fifteen) road sections amounting to 2.340%. The data shows that cracking does not significantly reduce road quality as there are still 97.660% of roads with good quality.
THE MESSAGE OF CORPORATE GOVERNANCE TO SHAREHOLDERS IN ENHANCING FIRM FINANCIAL PERFORMANCE
Authors: Hossian Ibrahum Ali 
Published: February 2025

The current study highlighted the importance of corporate governance in improving a company's financial performance and increasing shareholder value. Shareholders buying shares show their trust in a company's management and future outlook, emphasizing the significant impact of corporate governance structures. This study examines how corporate governance mechanisms address shareholder concerns and impact a company's financial success by aligning company goals with shareholder interests. It aims to determine how corporate governance mechanisms can be adjusted to ensure shareholders are properly rewarded while also protecting the company's long-term objectives. The study addresses both the theoretical and practical aspects of corporate governance mechanisms, assessing their impact on shareholder value through transparent communication and accountability. It stresses the importance of clearly defining company goals and strategic plans to establish a solid governance framework that can meet shareholder expectations. The study compares the broader role of corporate governance with a detailed analysis of principles that prioritize shareholder interests and needs. This study tries to underline the efficacy of corporate governance tools at leveraging financial performance and guaranteeing value for stockholders. These conceptual frameworks and practical evidence go a long way in giving insight into how corporate governance tools are supposed to make a difference toward success.
The Influence of Organizational Citizenship Behavior, Learning Organization and Transactional Leadership on Competence, Training Education (Diklat) and Employee Performance in the Youth Culture and Sports and Tourism Office of Surabaya City
Authors: Nurhayati Dewi , Riyadi Slamet , Sumiati Sumiati 
Published: February 2025

This study aims to analyze and prove the effect of Organizational Citizenship Behavior, Learning organization and Transactional Leadership on Competence, Training Education and Employee Performance at the Surabaya City Culture, Youth and Sports and Tourism Office. In this study, the method used was a simple random sample. Determination of the number of samples using the Slovin formula with a sample size of 60 people. The type of research conducted in this study is using explanatory research, namely research that explains the causes and effects of existing problems with the help of SEM PLS. The results of this study indicate that Organizational Citizenship Behavior has a positive but insignificant effect on employee performance at the Surabaya City Culture, Youth and Sports and Tourism Office. In contrast, Learning Organization behavior and Transactional Leadership both have a positive and significant effect on employee performance. Organizational Citizenship Behavior also has a positive and significant effect on employee competence, as well as Learning Organization and Transactional Leadership, both of which also have a positive and significant effect on employee competence. Meanwhile, Learning Organization has a positive and significant effect on education and training, but Transactional Leadership has no significant effect on education and training in the agency.
Analisis Kapabilitas Quality Control Mutu Minyak Kelapa Sawit di PT. BGR Jambi
Authors: Chandra Dewi Diana , Rahayu Erna , Mulyadipa Suratno Danang 
Published: February 2025

Kegiatan pengendalian kualitas (quality control) diharapkan dapat membantu perusahaan mempertahankan dan meningkatkan kualitas produknya dengan melakukan pengendalian terhadap tingkat kecacatan produk (product defect) sampai pada tingkat kecacatan nol (zero defect). PT. BGR merupakan perusahaan yang bergerak dibidang industri kelapa sawit,berdiri pada Tahun 1986 dan telah melakukan commissioning pada tanggal 25 juni 2018 dengan kapasitas pengolahan 30 Ton/jam. Perusahan ini memiliki tenaga yang berpengalaman dan professional untuk menghasilkan produk yang sesuai dengan standar dimulai dari awal proses sampai produk akhir dari pabrik minyak kelapa sawit, pelaksanaan dan pengendalian pekerjaan dengan system management yang efektif, effisiensi dan professional, serta memperhatikan standart K3 (Keselamatan Kesehatan Kerja) dan lingkungan kerja. Faktor-faktor yang mempengaruhi mutu CPO. Rendahnya mutu minyak kelapa sawit sangat ditentukan oleh banyak faktor dalam hal ini syarat mutu di ukur berdasarkan spesifikasi standar mutu dari PT BGR yang meliputi kadar air 0,25%, kadar kotoran 0,020% dan kadar asam lemak bebas (ALB) 4,90%
Pengembangan Aplikasi Laporan Keuangan FINANCENICE Berbasis Excel Sederhana Tepat Guna Untuk Usaha Mikro dan Kecil di Palangka Raya
Authors: Amelia Verra Rizki , Fuanni Fuanni , Diarta Anggy , Umbing Golda Belladona , Yuni Sri 
Published: February 2025

Peningkatan jumlah usaha mikro dan kecil sektor makanan dan minuman di Kota Palangka Raya membutuhkan dukungan baik dalam bentuk pemodalan maupun pendampingan pengembangan produk dan pelaporan administratif. Penting bagi Perguruan Tinggi turut serta dalam mendukung pendampingan pengembangan usaha dan juga administratif. Fenomena usaha kecil dan mikro saat ini administratif dalam bentuk laporan keuangan kurang dimiliki. Hal ini disebabkan oleh kurangnya pengetahuan dan keterampilan dalam menyusun laporan keuangan yang mengakibatkan kesulitan dalam mengakses pembiayaan tambahan dan menjalin kerja sama dengan pemasok atau mitra bisnis. FINANCENICE merupakan aplikasi berbasis Excel sederhana yang dirancang dan dikembangkan oleh Mahasiswa Universitas Palangka Raya. Dengan tujuan memenuhi unsur ease of use dan usefullness pengembangan FINANCENICE melibatkan dosen, mahasiswa, dan pelaku usaha dalam prosesnya. Aplikasi ini telah di uji cobakan dalam program PKM di Asmin Seafood Cafe, Palangka Raya berupa pra-test review dan post test review.
Community Empowerment and Sustainable Economic Development in Karang Tunggal Village, East Kalimantan
Authors: I Putu Gede Didik Widiarta  , Dinar Anindyasari  , Cori Qamara  , Dede Aprylasari  
Published: February 2025

Community service was conducted to socialize green marketing techniques to goat farmers. A total of 65 participants consisting of farmers and local officials actively took part in discussions, workshops, and group work with an interactive participatory approach to increase knowledge on sustainable marketing. The methodology used covered the needs of the farmers through field observations and discussions with the community. The results of these discussions showed a 75% increase in knowledge of green marketing concepts and identified competitive advantages in promoting the environmental benefits of their products. There was a change in perception as now was the time to attract environmentally conscious consumers. Therefore, it is important to advance the economic resilience of villages by providing sustainable marketing. Equipping farmers with sustainable marketing knowledge and instruments helps Karang Tunggal Village become an example for other villages in improving market competitiveness.