bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Materials for Manufacturing Electrodes Designed for Long-Term Registration of Electrocardiogram
Authors: Veriga M. E. , Lemeshko Ye. V. , Vasyukevich S. N.
Published: February 2025

Electrocardiography is an important diagnostic method that allows assessing the electrical activity of the heart. Its use allows diagnosing cardiovascular diseases at early stages, preventing their progression and development of complications. However, not all pathologies can be detected during a short-term study. If the presence of such dis eases is suspected, a method of long-term recording of the electrocardiogram is used. The quality of its recording during long-term recording largely depends on the electrodes used. Today, the most common are electrodes with silver chloride coating, showing good results for a short time. However, their use for more than 24 hours leads to signal distortion and irritation of the patient’s skin due to dehydration and surface degradation. The article pre sents the results of studies of materials intended for the manufacture of dry electrodes, their properties and influence on the indicators obtained during the examination.
A Method for Detecting Distinctive Patterns of Real Patients in Generated Images
Authors: Kovalev V. A.
Published: February 2025

Generative diffusion models are a well-established method for generating high-quality images. However, there are studies that show that diffusion models are less privacy-friendly than generative models, such as generative adversarial networks and a growing family of their modifications. The discovered vulnerabilities require in-depth study of various security aspects. This is especially important for sensitive areas such as medical image analysis tasks and their practical applications. The paper describes a method for detecting image patterns presented in generated images that can potentially be identified in real CT images of patients with pulmonary tuberculosis. The method includes the following main procedures: correlation of pairs of generated and real images to pre-select pairs that involve further analysis; calculation of correlation statistics using direct and inverse Fisher transforms; performing affine image registration and calculating pairwise similarity scores; nonlinear (elastic) image registration and recalculation of similarity scores to highlight the most similar/dissimilar image areas.
Modeling the Effects of Directed Contact Diathermy on Biological Tissue
Authors: Navitskaya H. Y. , Kamlach P. V. , Likhacheuski D. V. , Bandaryk V. M. , Davydov M. V.
Published: February 2025

Directional contact diathermy is one of the most promising methods of physiotherapy. To study it, biophysical modeling of the effect of capacitive-resistive energy transfer (TEKAR therapy, or TR therapy) on biological tissue was carried out in the COMSOL Multiphysics environment using the finite difference method. A model of a biological object exposed to TR therapy was created. The visualization of the distribution of temperature and electric potential in the volume of the model is carried out. The dependence of the heating intensity on the frequency of alternating current is determined. The dynamics of temperature changes in each layer of biological tissue is shown.
Methodology for Studying Neural Network Descriptors in Solving the Problem of Finding Anatomical Layers in Computed Tomography Images of the Lungs
Authors: Kosareva A. A.
Published: February 2025

The search for anatomical layers in lung CT images will simplify the task of diagnosis and treatment planning, as well as automate the process of image partitioning when preparing a training sample. The paper proposes a methodology for comparison of neural network descriptors and selection of an optimal neural network method for searching for similar anatomical regions. Neural network approaches are compared with traditional methods and a hybrid search algorithm based on the joint use of traditional and neural network methods is proposed. Using the proposed algorithm, the neural network search result for anatomical patterns, expressed in mm to the searched layer, was improved by 47 % for the first ten heart-class images found and by 18 % for images with positions from 10 to 100. The final anatomical region search result was improved over using traditional approaches by 9.7 % for retrieved images with positions from 10 to 100 and by 2 % for the first ten retrieved images.
Oxide Films with Built-in Electric Charge for Regulation of Hemostasis Processes
Authors: Lazarouk S. K. , Kupreeva O. V. , Tomashevich L. P. , Utkina E. A. , Zhyhulin D. V. , Gorbacheu F. A. , Lastovka A. S.
Published: February 2025

The formation of films of valve metal oxides of the aluminum, zirconium, titanium, tantalum, niobium series with a thickness of about 100 nm by electrochemical anodization in an electrolyte based on a 1 % aqueous solution of citric acid is considered. The effect of films of anodic oxides of valve metals with a built-in electret charge on the process of blood hemostasis when it contacts the surface of oxide films is studied. It is found that films of oxides with a negative electric charge (oxides of aluminum and zirconium) slow down the process of blood hemostasis, and films of anodic oxides with a positive electric charge (oxides of niobium and tantalum) accelerate it. Recommendations are given for the use of coatings with a negative electric charge as implant coatings to ensure a thromboresistant effect. Positively charged valve metal oxides can be used in wound treatment to stop bleeding.
Multi-Branch Convolutional Neural Network Architecture for Glaucoma Diagnosis Using Optical Coherence Tomography Biomarkers and Synthetic Image Simulation
Authors: Usenko Ph. V. , Prudnik A. M.
Published: February 2025

This paper presents a multi-branch convolutional neural network designed for glaucoma diagnosis using optical coherence tomography biomarkers and synthetic image simulations. The network includes six branches, each targeting key anatomical features. Trained on a synthetic dataset, the model achieved a validation accuracy of 94.2 % and a training loss of 0.162, demonstrating effectiveness in distinguishing between different glaucoma types. The results also highlight the potential for further accuracy improvement, particularly in reducing classification errors between closely related conditions.
Perbandingan Status Karies Gigi pada Pralansia dan Lansia Peserta Prolanis Puskesmas Welahan 1 Jepara
Authors: Hafidz Muhammad L. , Isniya Nosartika  , Ngestiningsih Dwi
Published: February 2025

Abstract: Elderly undergoes changes that begin at pre elderly age. This condition causes health problems, including in the oral cavity such as dental caries. Dental caries in pre-elderly and elderly is associated with the changes of the oral cavity condition due to aging and chronic diseases such as diabetes mellitus (DM) and hypertension. This study aimed to analyze the difference in dental caries status of pre-elderly and elderly patients with DM, hypertension, and DM plus hypertension. The results obtained 67 pre-elderly and elderly members of Prolanis (chronic disease management program) Puskesmas Welahan 1 as subjects, divided into three groups, as follows: DM group (27 patients), DM plus hypertension group (21 patients), and hypertension group (19 patients). Data were analyzed using the one-way ANOVA parametric test. The average score of DMFT in all subjects was 13.40. The highest score (13.76) was found in DM plus hypertension group, followed by DM group (13.26), and hypertension group (13.21). The one-way ANOVA obtained a p-value of 0.973 meaning that there was no significant difference in mean score of DMFT among the three groups. In conclusion, dental caries status of the three groups is in very high category without any significant difference.
Keywords: caries status; pre elderly; elderly; diabetes mellitus; hypertension.
 
 Abstrak: Lanjut usia (lansia) mengalami perubahan kondisi tubuh yang telah dimulai sejak masa pralansia. Kondisi tersebut menyebabkan masalah kesehatan, termasuk pada rongga mulut seperti karies gigi. Karies gigi pada pralansia-lansia berhubungan dengan perubahan kondisi rongga mulut akibat penuaan maupun penyakit seperti diabetes melitus (DM), dan hipertensi. Penelitian ini bertujuan untuk menganalisis perbandingan status karies gigi pasien pralansia-lansia penyandang DM, hipertensi, dan DM disertai hipertensi. Subjek penelitian ialah pasien pralansia-lansia peserta Prolanis Puskesmas Welahan 1 Kabupaten Jepara. Uji statistik menggunakan uji parametrik analisis variansi satu arah. Hasil penelitian mendapatkan 67 pasien pralansia dan lansia peserta Prolanis Puskesmas Welahan 1 yang terbagi atas tiga kelompok yaitu kelompok DM (27 pasien), kelompok DM disertai hipertensi (21 pasien), dan kelompok hipertensi (21 pasien). Status karies berdasarkan rerata skor DMFT pada seluruh subjek penelitian ialah 13,40. Kelompok dengan rerata skor tertinggi ialah pralansia-lansia dengan DM disertai hipertensi (13,76), diikuti kelompok DM (13,26), dan kelompok hipertensi (13,21). Hasil uji ANOVA satu arah mendapatkan nilai p=0,973 yang menunjukkan tidak terdapat perbedaan bermakna dari rerata skor DMFT ketiga kelompok. Simpulan penelitian ini ialah status karies pada ketiga kelompok sama-sama dalam kategori sangat tinggi dan tidak terdapat perbedaan bermakna dari status karies antar kelompok.
Kata kunci: status karies; pralansia; lansia; diabetes melitus; hipertensi
Pengaruh Kemampuan Literasi Hard Skill dan Soft Skill terhadap Self Efficacy Mahasiswa pada Pengguna Platform Digital Job Seeker (Study Kasus Mahasiswa Aktif dan Alumni Universitas Pancasakti Tegal)
Authors: Faiz Irsyad Prasetyo  , Deddy Prihadi  , Dewi Indriasih  , Febri Yoga Sapta Raharjo  , Elsa Kholifatul Nur Rachmadani
Published: February 2025

The market in the current digital era is very broad, which can be seen from the many Job Seeker-based platforms or applications. Universities are actually one of the largest producers of competent workforce, of course they need to create a strong character. Higher education can be a forum for the creation of Hard Skills and Soft Skills which can produce high Self Efficacy so that links and matches can be created in the labor market. This research aims to find out whether Hard Skills and Soft Skills have a positive effect on Self Efficacy among job seeker platform users. This research uses the explanatory type. The sampling method used is non-probability sampling with a convenience sampling approach which is distributed online via Google form. A total of 80 active students and alumni of Pancasakti University Tegal using the Job Seeker Platform were used as research samples with a measurement scale using a Likert scale. The data analysis and processing used in this research uses descriptive analysis and Structural Equation Modeling (SEM) analysis using the Partial Least Square (PLS) method. The results of this research show that Hard Skills and Soft Skills influence Self Efficacy.
AI-Driven Risk Assessment and Mitigation Strategies for Optimizing Project Success
Authors: Kumari Nageeta , Khan Misbah Ullah , Haq Zahoor Ul , Ali Tanveer , haq Muhammad Inam ul , Saeed Hina , Rasool Mujahid , Rehman Habib Ur
Published: February 2025

In this paper, we present a predictive analytics framework for risk assessment and mitigation in software development projects, aimed at enhancing project quality and success rates. Software projects often face challenges due to their dynamic and complex nature, making early risk detection crucial. To address this, we collected data from developers, project managers, and QA engineers using targeted sampling techniques. The dataset underwent preprocessing, including extensive cleaning and transformation, before being analyzed using supervised machine learning models: K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees, and Logistic Regression. These models were evaluated for their predictive accuracy and integrated into a real-time Stream lit application for live risk assessment and decision support. The results demonstrate the effectiveness of predictive analytics in identifying correlations between project parameters and potential quality risks, enabling proactive measures to address them. Among the models, Support Vector Machines exhibited superior performance, effectively handling high-dimensional project datasets. The developed Stream lit application allows project teams to visualize risk predictions, supporting informed and immediate decision-making. This research contributes to advancing software project management by introducing a proactive, data-driven approach to quality assurance and risk mitigation. Future research can explore integrating additional machine learning models and expanding datasets to further validate and optimize predictive performance.
Prevention, Diagnosis, and Treatment of Dengue Fever with Post Partum Hemorrhage
Authors: Bhuiyan Md. Omar Faruq , Siraj Rummana , Komol Ruhi , Hossain Imran , Shariyar Md. Rased , Akter Sume , Bhattacharjee Swapna
Published: February 2025

Background: The concurrent presentation of dengue fever and postpartum hemorrhage poses unique clinical challenges, yet systematic research examining their combined management remains limited. This study analyzes prevention strategies, diagnostic approaches, and treatment outcomes in 100 cases of dengue fever complicated by postpartum hemorrhage. Methods: A prospective observational study was conducted at Department of Medicine, Mugda Medical College and Hospital, Dhaka, Bangladesh from January 2023 to December 2023. We enrolled 100 consecutive cases of laboratory-confirmed dengue infection in postpartum women who developed primary postpartum hemorrhage. Patients were monitored for clinical manifestations, laboratory parameters, transfusion requirements, and maternal outcomes. Standardized protocols for prevention, diagnosis, and treatment were implemented and evaluated. Results: Among the study population (mean age 27.3±4.8 years), 45% presented with dengue without warning signs, 38% with warning signs, and 17% developed severe dengue. The median blood loss was 750mL (IQR: 600-950mL) for vaginal deliveries and 1200mL (IQR: 1000-1450mL) for cesarean sections. Platelet counts reached their nadir (mean 45,000±18,000/μL) on day 3 postpartum. Transfusion requirements increased significantly with dengue severity, with severe cases requiring a mean of 4.8±1.6 units of PRBCs. The maternal mortality rate was 2%, with all deaths occurring in the severe dengue category. Multivariate analysis identified platelet count <50,000/μL (OR: 3.8, 95% CI: 2.1-6.9) and blood loss >1500mL (OR: 4.2, 95% CI: 2.3-7.6) as significant predictors of adverse outcomes. Conclusions: The convergence of dengue infection and postpartum hemorrhage significantly impacts maternal outcomes, requiring modified management protocols and intensive monitoring. Early recognition of risk factors, particularly severe thrombocytopenia and excessive blood loss, is crucial for optimizing outcomes. Our findings ...
Impact of Soil Salinity on Wheat Growth and Yield: Challenges, Mechanisms, and Management Strategies
Authors: Rehman Shafiq Ur , Sarwar Nimra , Din Muhammad Sami ul , Tahir Ariba , Iftikhar Minahal , Ali Nosheen , Hassan Alina , Perveen Saima , Shamas Laiba
Published: February 2025

The development and productivity of wheat (Triticum aestivum) are severely hampered by soil salinity, a key abiotic stressor that poses a significant threat to world food security. Osmotic stress, ionic toxicity, and oxidative damage in wheat plants are caused by excessive salt buildup in the soil, which also interferes with water absorption, ion homeostasis, and nutrient balance. Grain yield, photosynthetic efficiency, root and shoot growth, and germination are all hampered by these stresses. Developing successful management techniques for wheat requires understanding the physiological, pharmacological, and molecular factors behind salt tolerance. To lessen salinity-induced stress's effects, plants use various adaptive responses, including ion compartmentalization, antioxidant defense mechanisms, osmoprotectant accumulation, and hormone modulation. Breeding and biotechnological developments, including genome editing, transgenics, and marker-assisted selection, have demonstrated promise in enhancing wheat's resistance to salt. Furthermore, reducing the negative impacts of salinity requires using agronomic treatments such as soil amendments, biofertilizers, and adequate irrigation techniques. The role of precision farming, an innovative solution that enhances wheat's resistance to salty conditions, is not just a solution but an inspiring example of how technological advancements can revolutionize agriculture. This paper thoroughly examines the difficulties caused by soil salinity, clarifies the fundamental principles of tolerance, and investigates creative management techniques to maintain wheat yields in the face of salt stress.
جهود البنك الاسلامي للتنمية ومؤسساته في تمويل القطاع المالي النيجيري وانعكاساته على التنمية الاقتصادية
Authors: مبارك إبراهيم مرافا مبارك إبراهيم مرافا
Published: February 2025

تتناول هذه الدراسة تحليل مشاريع القطاع المالي في نيجيريا وتأثيرها على التنمية الاقتصادية، مع التركيز علىالمصرفية الإسلامية والمصارف التقليدية والبنك الصناعي. وتعتمد الدراسة على البيانات المتاحة من تقارير البنوك والمؤسسات المالية المعنية، إلى جانب مراجعة الأدبيات السابقة. وتقدم الدراسة نتائج شاملة توضح كيفية مساهمة كل قطاع في التنمية الاقتصادية وخلق فرص العمل. المقدمة: تُعتبر نيجيريا من بين الدول التي شهدت تحولاً ملحوظًا في بنية القطاع المالي خلال العقدين الماضيين، نتيجةً لجهود الإصلاح والتوسع في النظم المصرفية الإسلامية والتقليدية على حد سواء. ومع زيادة الاهتمام بدور التمويل الإسلامي في تحقيق التنمية المستدامة، أصبح من الضروري تقييم مساهمة هذا القطاع بالمقارنة مع المصرفية الاسلامية وغيرها من المصارف التقليدية. تهدف هذه الدراسة إلى تقييم أثر تمويل القطاع المالي على التنمية الاقتصادية في نيجيريا، من خلال استعراض وتحليل أداءالمصرفية الإسلاميةوالمصارف التقليدية و والبنك الصناعي.
Test of antidiabetic effectiveness of nano herbal and ethanol extract of toppaspara leaves (Mikania micrantha Kunth.) on male white rats (Rattus Norvegicus) induced by streptozotocin
Authors: Indah Setyarini Putri Ayu , Gunawan Muhammad , Safriana Safriana , Fatimah Cut
Published: February 2025

Diabetes mellitus is a metabolic disease characterised by hyperglycemia caused by insufficient insulin production, insulin resistance, or both. The use of natural ingredients as a treatment option for diabetes mellitus can be developed as an alternative treatment, one of which is the toppaspara plant (Mikania micrantha Kunth.). The very small particle size in nano form is used to increase antidiabetic activity. Toppaspara leaves (Mikania micrantha Kunth.) have been empirically used as an antidiabetic, but this has not been scientifically proven. This research aims to determine the effectiveness of nanoherbal and ethanol extract of toppaspara leaves. This research was carried out experimentally, including the manufacture of simplicia, characterisation of simplicia, characterisation of nanoherbals and testing of antidiabetic effectiveness. Male white mice were induced with 2.5% streptozotocin intraperitoneally. Administration of 0.5% CMC suspension, nanoherbal and ethanol extract of toppaspara leaves at 50 mg/kgBB, 100 mg/kgBB, 200 mg/kgBB, metformin 45 mg/kgBB. The number of decreases in blood glucose levels is calculated; from the number of decreases in blood glucose levels, the percentage decrease in blood glucose levels is calculated. This analysis test uses One-way ANOVA followed by the Tukey test. The results of phytochemical screening of fresh leaves, simplicia ethanol extract and nano herbal toppaspara leaves contain secondary metabolite compounds such as alkaloids, tannins, flavonoids, saponins, steroids and glycosides. The results of the One Way ANOVA test and the Tukey test showed that nanoherbal 100 mg/kgBW and ethanol extract of toppaspara leaves 200 mg/kgBW were the best as antidiabetics and were not significantly different from metformin 45 mg/kgBW as a comparison.
PENGENALAN BAHAN AJAR BERBASI INKUIRI TERBIMBING BERBANTUAN VIRTUAL LABORATORY SEBAGAI SALAH SATU BAHAN AJAR FISIKA DI SMA
Authors: Hardianti Tuti , Syahwin Syahwin , Fitriana Sheila , Rizaldi Rachmat
Published: February 2025

Pengabdian masyarakat dalam bentuk kegiatan pengenalan bahan ajar berbasis inkuiri berbantuan virtual laboratory ini diharapkan dapat menambah wawasan dan pengalaman para guru di SMA/sederajat di Kota Medan dalam mengatasi beberapa persoalan seperti permasalahan kurangnya alat praktikum dan dapat meminimalisir pemanfaatan waktu praktikum menjadi lebih efisien. Kegiatan pengabdian kepada masyarakat ini menggunakan metode pendampingan. Langkah-langkah yang dilakukan dalam kegiatan pengabdian meliputi, (1) Tahap persiapan, (2) Tahap pelaksanaan dan, (3) Tahap evaluasi. Analisis kepuasan yang dilakukan pada saat pengabdian mendapatkan respon positif dari peserta dengan rata-rata yang menjawab sangat puas sebesar 85,62 % dan rata-rata yang menjawab puas sebesar 14,38 %. Hal ini  menunjukkan bahwa kegiatan ini telah dilaksanakan dan berjalan dengan baik dan dapat memberikan manfaat bagi peserta pengabdian.
PELATIHAN KOMPETENSI GURU MATEMATIKA SMP MELALUI PENYUSUNAN SOAL-SOAL NUMERASI KONTEKS KOTA PRABUMULIH DALAM PEMBELAJARAN BERBASIS PMRI
Authors: Zulkardi Zulkardi , Putri Ratu Ilma Indra , Sari Novita , Ramadhan M. Hasbi
Published: February 2025

Kompetensi guru matematika dalam menyusun soal numerasi saat ini penting untuk dilatih dan dikembangkan mengingat masih rendahnya hasil PISA peserta didik Indonesia. PMRI merupakan salah satu pendekatan yang dapat diterapkan dalam pembelajaran matematika untuk melatih numerasi peserta didik. Salah satu upaya yang dilakukan adalah melakukan pelatihan dan pengembangan penyusunan soal-soal numerasi dalam pembelajaran berbasis PMRI. Tujuan kegiatan ini adalah untuk menguatkan kompetensi guru dalam menyusun soal numerasi dalam pembelajaran berbasis PMRI dan mengetahui respon peserta terhadap kegiatan pelatihan dan pengabdian. Metode kegiatan menggunakan mode sinkronus dan asinkronus meliputi tahap persiapan, pelatihan dan pendampingan, dan evaluasi. Sebanyak 37 peserta yakni para guru matematika SMP dari 13 sekolah negeri dan 7 sekolah swasta yang tersebar di Kota Prabumulih, Sumateras Selatan, mengikuti kegiatan ini. Melalui pelatihan dan penguatan ini, didapatkan bahwa guru memiliki kompetensi yang baik ditandai dengan sebanyak 73% guru berhasil menyusun soal-soal numerasi dan respon peserta sangat baik terhadap kegiatan ini dengan skor 89,06.
A critical analysis of The Royal College of Physicians and Surgeons of Canada examination experience
Authors: MacFarlane Malcolm M
Published: February 2025

The Royal College of Physicians and Surgeons of Canada (RCPSC) plays a leading role in specialty and subspecialty post graduate medical education (PGME) in Canada. As the RCPSC accredits PGME programs, these programs are structured to meet the RCPSC Competence by Design model and their CanMEDS roles. RCPSC Certification is required by Medical Regulatory Agencies (MRAs) across Canada as a condition of entry to independent practice. The RCPSC relies heavily on the use of high-stakes subject examinations as a key component of its Certification process. Recently, questions have been raised regarding the usefulness of such high-stakes examinations. If such examinations are to be fair and equitable, they must be designed and implemented in accordance with best practices for educational testing and the processes for implementation and grading must be transparent and fair. This paper reviews the recent literature on high-stakes examinations and best practices in examination construction, references the findings of a survey of RCPSC examination experiences conducted by the Society for Canadians Studying Medicine Abroad exploring the perception of respondents, and raises concerns regarding RCPSC examinations related to validity, reliability, and fairness. The paper concludes by recommending closer scrutiny of RCPSC examination processes by interested stakeholders and by provincial MRA's who delegate entry to practice decisions to the RCPSC.
Mathematics and art: Ideas to use in teacher education
Authors: Vale Isabel , Barbosa Ana
Published: February 2025

Throughout history, there have always been connections between mathematics and various forms of art, such as music, dance, painting, sculpture, and architecture, which can be effectively used in mathematics classes with highly positive implications for students’ learning. In particular, geometry emerges as a central field in this relationship. These connections not only motivate students and promote mathematical learning but also foster creative thinking and an esthetic sense, both of which are intrinsic to many mathematical concepts. Furthermore, they enable students to recognize and understand the mathematics embedded in numerous visual artistic works. While art provides an esthetic experience for those who study mathematics, it also establishes a connection between thought and emotion, giving deeper meaning to what we perceive. However, this relationship is not always immediately visible. Therefore, both mathematics and art teachers need to use various connections to develop both the student’s “geometric eye” and “artistic eye”. This manuscript aims to discuss ideas about this connection between mathematics/geometry and art. In addition, it presents examples of tasks implemented during the initial training of elementary school teachers, along with some of the works produced by these future teachers.
Efeito das perturbações antrópicas sobre a biodiversidade de liquens em uma floresta ripária na Amazônia Oriental
Authors: Silva Barros Raul César , Da Silva Chaves Murilo Gabriel , De Almeida Alves Joane , Silva do Nascimento Albuquerque Eduardo , De Siqueira Pimentel Lucas Mariano , Dos Santos da Silva Anna Catharina , Alves Nava André Vinicius , Araújo dos Santos Flávia Karoliny , Da Silva Siqueira Felipe Fernando
Published: February 2025

As perturbações antrópicas ocasionam redução na diversidade da fauna e flora, nos serviços ecossistêmicos e mudanças na qualidade ambiental (atmosfera, solo e aquática). Os liquens são reconhecidos por serem bioindicadores de qualidade ambiental. Alterações na estrutura da comunidade liquênica como frequência, cobertura, diversidade e vitalidade das espécies estão relacionadas com a concentração de poluentes na atmosfera. O objetivo deste estudo é analisar a abundância e diversidade de liquens em uma área de floresta ripária na Amazônia Oriental. Para as análises, foram designadas três áreas com diferentes níveis de estresse ecológico (desmatamento), caracterizadas como: alta, média e baixa perturbação antrópica. Para cada habitat foram utilizados três pontos quadrantes com um intervalo de 20 m de distância. A amostragem ocorreu no tronco das árvores em uma área igual a 1 m dentro de cada quadrante. Na área com alta perturbação foram encontrados 205 liquens e 4 morfotipos, enquanto na área de média perturbação 407 liquens e 5 morfotipos. Por fim, na área de menor perturbação foram encontrados 906 liquens com 8 morfotipos. O morfotipo mais frequente nas três áreas foi o crostoso verde. A área de baixa perturbação antrópica apresentou maior abundância de liquens. Não foi encontrada diferença entre a riqueza de morfotipos, apenas entre as composições dos morfotipos nas comunidades. Portanto, conclui-se que a área de baixa perturbação apresentou a maior abundância de liquens, sendo indicativo de área de alta qualidade ambiental.
Tinjauan Literasi Budaya Papua dan Kewargaan Siswa SMA Kota Jayapura
Authors: Ode Jamal  , Kristina Edowai
Published: February 2025

Cultural and civic literacy are two important aspects of education that are closely related to students' identity and social participation. This study aims to assess Papuan cultural and civic literacy among high school students in Jayapura City. The method in this study is a survey through a quantitative approach, involving 200 students as a sample from a total population of 1,500 high school students in Jayapura City. The results showed that Papuan cultural literacy among students is still low, while understanding of citizenship is good. This research is expected to provide insights for curriculum development that is more relevant to the local cultural context.
Penggunaan Media Short Movie dalam Pembelajaran Kata Baku Bahasa Indonesia Siswa Kelas IV Sekolah Dasar Tri Guna Bhakti Surabaya
Authors: Ramadhan Ilyas Dwi , Pance Mariati  , Rudi Umar Susanto  , Syamsul Ghufron
Published: February 2025

The factor that causes students' low understanding of standard words is the lack of application of media carried out in learning about standard words. Teachers usually only use LKS or thematic books in delivering learning materials, especially standard word materials. At this time Indonesian is sometimes pronounced well and correctly. Caused by the surrounding environment that is difficult to apply in everyday life. Indonesian is very important in everyday life for pronunciation and writing. The purpose of this study is todescribe the use of Short Movie media in learning standard words grade IV SD Tri Guna Bhakti and describestudents' mastery of standard words after learning using Short Movie learning media. The object of this study was grade IV students at SD Tri Guna Bhakti Surabaya totaling 28 students. This research method uses qualitative descriptive research methods. Research with this approach aims to provide a detailed, thorough, and contextual picture of the phenomenon under study. The data collection method used by the author is observation and interview. Based on the results of the research conducted, it was concluded that by using Short Movie media in learning standard words Indonesian, grade 4 students at SD Tri Guna Bhakti Surabaya can be actively involved, visualize the use of standard words in relevant contexts, and develop understanding and application of standard words in everyday life.
Pengunaaan Model Student Team Achievement Division terhadap Kemampuan Penalaran dan Pemecahan Masalah Matematis Siswa Kelas 1 SD
Authors: Shela Ayu Nadyarta  , Moh Hadanil Atqo  , Wido Rahayu Gondoarum  , Muhammad Zidan Fakihani  , Diana Ermawati
Published: February 2025

Some grade 1 students still have difficulty counting without using an abacus. Many students who were creative and critical became apathetic because the learning atmosphere in the classroom was less supportive. Learning styles that are less democratic, less collaborative result in students being less active in learning activities in class. The aim of applying the STAD model is to improve the reasoning and mathematical solving abilities of elementary school students in low grades. This research uses a quantitative experimental method, the instruments used in this research are pre-test and post-test questions. Data collection techniques, researchers used observation, interviews, question sheets, and documentation. The data analysis technique that we use is parametric test with paired t-test. The results of the analysis show that the value of Sig. (2-tailed) is 0.000 <0.05, then Ho is rejected and Ha is accepted with a mean paired difference of -17.25000. This value shows the difference between the average pre-test learning outcomes and the average post-test learning outcomes, or 81.25-64.00 = -17.25000. So it can be concluded that there is an average difference between the learning outcomes of the Pre Test and Post Test, which means that there is an effect of using the STAD Learning model on increasing reasoning abilities and solving mathematical problems in 1st grade students of Elementary School.
Citra Perempuan Soviet dalam Cerita Pendek Вера/Vera Karya Evgeniya Nekrasova
Authors: Elliane Adara Baelicia Panggabean  , Thera Widyastuti
Published: February 2025

This research discusses the image of Russian women in the short story entitled Вера/Vera by Evgeniya Nekrasova. The aim of this research is to determine the image of Russian women in the Soviet era through analysis of the characters in the short story. This research uses descriptive analytical methods. Then it is complemented by an approach to intrinsic and extrinsic elements. The theories used are character-characterization and existentialist feminism. The author sees that the short story entitled Вера/Vera by Evgeniya Nekrasova presents a new view regarding how the younger generation of Russians view the image of Russian women in the Soviet era. Thus, this research shows the image of Soviet women through the female characters in the short story Вера/Vera, namely Vera and Tonya who are intelligent, hardworking, strong, adaptive, firm, disciplined, and caring in getting through the conflicts in their lives that occurred during the Soviet era.
Impact of Management Control Systems on Managerial Job Satisfaction and Stress in Local Government: The Mediating Role of Organizational Commitment
Authors: Silaban Adanan , Siagian Nalom , Sitorus Sunday Ade , Medrofa Daud
Published: February 2025

Management Control Systems (MCS) are an important part of the operations of public sector organizations. However, the implementation of MSS can have consequences on the well-being of public managers such as job satisfaction and stress. One important dimension of MSS is the clarity of the public manager's role. The role of public managers is a very important part of the organization, because public managers have the task of planning, organizing, directing and controlling organizational activities. These tasks require role clarity, where public managers must provide accurate, complete, clear and relevant information to their users. Therefore, the clarity of the role of public managers is thought to have an effect on the job satisfaction and stress of public managers. This research is important to do considering that SPM is a tool used in achieving organizational goals, and therefore it is also necessary to gain knowledge of its consequences on the welfare of public managers. Empirical evidence on this subject is still very limited, especially in public sector organizations in Indonesia. This study aims to empirically examine the effect of role clarity on job satisfaction and stress of public managers and the mediation of organizational commitment in public sector organizations. The results of this study are useful theoretically and practically. Theoretically, it enriches the SPM literature on the effect of management control in the form of the impact of role clarity on job satisfaction and stress levels of public public managers. Practically, the results of this study can be used as guidelines in the design of SPM that can increase public managers' job satisfaction and stress and organizational commitment.  The research was conducted using a survey method to public managers at the Regional Apparatus Organization (ODP) of Medan City Government.
Reduced Loss Tristate SEPIC
Authors: Himmelstoss Felix A.
Published: February 2025

The Sepic is a very well-known DC/DC converter topology. A tristate converter extends the circuit by an additional electronic switch and a diode. Three modes follow each other within one switching period. During the first mode M1, both transistors are on and both diodes are off. In the second mode M2 only the second switch is on and the first diode is conducting, and in mode M3 only the second diode is conducting. The voltage transformation ratio is a function of the duty cycles of the two electronic switches. In a typical tristate converter, the current flows through the second switch during the first two modes. In the converter treated here, the current is flowing through the second switch only during the second mode, so the losses are reduced compared to the normal tristate converter. The function of the converter is described in the steady state by the voltages across and the currents through the components. The large and the small signal models are derived. When the duty cycle of the second switch is held constant and the duty cycle of the first switch is used as a variable, the voltage transformation ratio is linearized, and additionally, the converter operates as a phase minimum system. The calculation of the transfer functions is explained and further possible modifications are shown. The start-up and the reaction of a short-circuit are investigated. The considerations are proved by simulations with the help of LTSpice.
A Quantitative Determination at the Health Risk Assessment of Fluoride Content: Turkey, Ceyhan Basin Case Study
Authors: Yeşi̇lbudak Burcu
Published: February 2025

The increase in fluoride content in surface water causes negative effects on health. For this reason, it is important to routinely perform health risk analyses and update fluoride data. This study aims to compare the fluoride content in some surface waters used for drinking and irrigation purposes in the Ceyhan basin, located in the Mediterranean region of Türkiye, and to assess the potential health risk of fluoride intake in age groups (men, women, children, and infants). Quantitative determination of fluoride content in water was determined on a spectrophotometer following the SPADNS colorimetric method. Health risk assessments of age groups were calculated for each region. In general, fluoride concentrations were found to be between 0.04 and 1.91 mg/l, with an average of 0.715 mg/l. The mean estimated daily intake (EDI) was calculated for the four age groups as 0.033, 0.038, 0.039, and 0.269 for men, women, children, and infants, respectively. While the non-carcinogenic health risk value for infants is greater than 1, this value poses a moderate risk for children. It may be important in the future to take various precautions against the consumption of water specified in these age groups with high metabolic rates.
Earthquake Risk Scenario Simulation at the Dam and Hydropower Plant Vidraru from Romania and Its Consequences on Energy and National Security
Authors: Fita Nicolae Daniel , Radu Sorin Mihai , Stanila Sorina Daniela , Obretenova Mila Ilieva , Nicola Aurelian
Published: February 2025

A disaster-type event manifested by an earthquake at a dam and a high power hydropower plant, has a very low manifestation likelihood, but the gravity can be catastrophic with a powerful impact over the flood of the area followed by human lives loss, changing and altering the environment hence losing the facility of producing electricity. Such an event can bring extreme damage for the population, society and the state by losing the involved infrastructures, generating extreme prejudice for the energetic and national security. For this reason, the authors have simulated an 8 magnitude on Richter scale earthquake risk scenario at the dam and hydropower plant Vidraru with an impact over the installations of the strategic energy purpose. The final purpose of the paper is to find ways to protect the population in case of the dam-breaking situations, flooding of the downstream areas, and damaging the infrastructures and to allow the intervention for the evacuation in safety conditions and return to a normal state (resilience).
Analyzing Tobacco Smoking Dynamics: Fractional and Fractal- Fractional Approaches
Authors: Chauhan Ram Pratap , Kumar Sunil , Thota Srinivasarao
Published: February 2025

This work aims to contribute insights into the dynamics of tobacco smoking models concerning snuffing users, and to assess the efficacy of different operators namely the Atangana-Baleanu fractional and fractal-fractional (FF) operators. We utilized fixed-point results to evaluate the existence and uniqueness of solutions for the model. Subsequently, we introduced a novel fractal-fractional concept by incorporating the AB fractional operator into the tobacco smoking model. Two numerical techniques are employed to address both the fractional and FF models. Graphical representations of numerical results are provided for the model encompassing a broad spectrum of fractional order values. Furthermore, we conducted a comparative analysis of the operators utilizing numerical schemes, accommodating diverse fractional order values.
Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study
Authors: Xiong Fei-Xiang , Sun Lei , Zhang Xue-Jie , Chen Jia-Liang , Zhou Yang , Ji Xiao-Min , Meng Pei-Pei , Wu Tong , Wang Xian-Bo , Hou Yi-Xin
Published: February 2025

BACKGROUND

The global prevalence of non-alcoholic steatohepatitis (NASH) and its associated risk of adverse outcomes, particularly in patients with advanced liver fibrosis, underscores the importance of early and accurate diagnosis.

AIM

To develop a machine learning-based diagnostic model for advanced liver fibrosis in NASH patients.

METHODS

A total of 749 patients who underwent liver biopsy at Beijing Ditan Hospital, Capital Medical University, between January 2010 and January 2020 were included. Patients were randomly divided into training (n = 522) and validation (n = 224) cohorts. Five machine learning models were applied to predict advanced liver fibrosis, with feature selection based on Shapley Additive Explanations (SHAP). The diagnostic performance of these models was compared to traditional scores such as the aspartate aminotransferase to platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4), using metrics including the area under the receiver operating characteristic curve (AUROC), decision curve analysis (DCA), and calibration curves.

RESULTS

The Extreme Gradient Boosting (XGBoost) model outperformed all other machine learning models, achieving an AUROC of 0.934 (95%CI: 0.914-0.955) in the training cohort and 0.917 (95%CI: 0.880-0.953) in the validation cohort (P < 0.001). Incorporating liver stiffness measurement into the model further improved its performance, with an AUROC of 0.977 (95%CI: 0.966-0.980) in the training cohort and 0.970 (95%CI: 0.950-0.990) in the validation cohort, significantly surpassing APRI and FIB-4 scores (P < 0.001). The XGBoost model also demonstrated superior clinical utility, as evidenced by DCA and calibration curve analysis in both cohorts.

CONCLUSION

The XGBoost model provides a highly accurate, non-invasive diagnosis of advanced liver fibrosis in NASH patients, outperforming traditional methods. An online tool based on this model has been developed to assist clinicians in evaluating the risk of advanced liver fibrosis.
Имитационное моделирование технологических процессов лесозаготовки
Authors:   Volga State University of Technology, Rukomojnikov Konstantin P. , Sergeeva Tatiana V. , Gilyazova Tatiana A. , Tsarev Evgeny М. , Komisar Vera P.
Published: February 2025

The history of the development of simulation modeling in the field of operation of forest felling machines is described, the main leaders in the development of computer support systems for managerial decision-making are named, and the advantages and disadvantages of various approaches to simulation modeling of the production process in the forest are listed. The aim of the research has been to evaluate achievements in this field and find ways to increase their effectiveness and improvement. It has been noted that the simulation approach eliminates fluctuations in results due to uncontrollable factors such as operator exposure and weather conditions, and rare non-cyclical working elements and delays of various types can be excluded from the simulation model. This facilitates comparison of the performance of alternative machine systems and technologies under ideal conditions. The conducted review makes it possible to focus the attention of scientists on the lack of knowledge of the functioning of machines for felling trees in conditions of non-continuous logging; the need to increase the number of analyzed factors that improve the accuracy of modeling; maximum use in models of modern technological recommendations for the work of forest machine operators; the importance of creating mathematical dependencies taking into account factors affecting labour efficiency. It has been concluded that the existing models are promising, but still leave a large field for further modernization and new research. The review clearly demonstrates a significant increase in the number of analyzed indicators of the natural production process in simulation modeling compared to mathematical one and a reduction in labour and material costs compared to the research of technological processes in production conditions. Simulation modeling of machine felling allows taking into account the influence of random environmental factors, as well as factors of interaction between logging equipment. The widespread introduction of such computer systems in timber harvesting will increase the efficiency of technological maps for the development of forest plots and the substantiation of standard machine performance indicators.
Запасы углерода в почвах по материалам государственной инвентаризации лесов
Authors:   All-Russian Research Institute for Silviculture and Mechanization of Forestry, Malysheva Nataliya V. , Zolina Tatiana A. , Filipchuk Andrey N.
Published: February 2025

The main organic carbon stocks in the predominantly boreal forests of Russia are contained in the soil pool. Quantitative estimates of soil pool carbon stocks vary considerably. This is due to the high temporal and spatial variability of the organic carbon content in soils, the lack of empirical data for a number of regions, the difference in approaches to assessing soil carbon and the density of soil horizons, the thickness of the soil layer taken into account, the inclusion of forest litter carbon stocks, the peat layer, etc. In 2020, the 1st cycle of the State Forest Inventory in Russia was completed using a selective statistical method. Forest inventory characteristics, environmental indicators and information on forest growth conditions have been obtained for 69.1 thousand permanent sample plots. The limited availability of field descriptions of soils necessitates the testing of an integrated approach to using the State Forest Inventory data in the software environment of geographic information systems in combination with open-access digital resources to assess carbon stocks in the soil pool. A methodology for quantitative assessment of carbon stocks in the forest soil pool has been developed and experimentally tested. The proposed methodology includes: 1) geo-referencing of sample plots; 2) bringing the initial data of the State Forest Inventory on soil types to a standard classification; 3) using the digital resources of the World Data Center for Soils (SoilGrids) to obtain reference average carbon stocks on the network of sample plots surveyed during the State Forest Inventory; 4) calculating the total carbon stock in the soil pool of forest lands based on the average carbon stocks of SoilGrids and areas of standard soil types based on the data of the State Forest Inventory. The experimental testing has been carried out using the Republic of Karelia as an example. The sample size has been 667 permanent sample plots. According to the results of the study, the predominant complex of soil types – illuvial-ferruginous and illuvial-humus podzols (without division), illuvial low- and high-humus podzols – covers an area of 7.28 mln ha. The total carbon stock in the 0–30 cm soil layer for the forest lands of the Republic of Karelia is estimated at 773.9 Mt C with an average of 79.1 t C/ha.