bluuebunny/crossref_metadata_2025_split huggingface dataset:
KEAKTIFAN SISWA MELALUI METODE TANYA JAWAB DALAM PEMBELAJARAN JARAK JAUH SISWA SMA PADA PELAJARAN EKONOMI [STUDENTS' ACTIVENESS THROUGH QUESTION-AND-ANSWER METHOD IN DISTANCE LEARNING FOR HIGH SCHOOL STUDENTS IN ECONOMICS CLASS]
Authors: Purba Roni Kiliadi , Dwikristanto Yanuard Putro 
Published: January 2025

Students' activeness is one of the important factors in the success of learning. Students' activeness indicates that students are serious to participate in learning. However, the observations made by the author in distance learning classroom showed problems with students' activeness, such as: students only played a role as listeners, students hardly asked questions and rarely expressed their opinions. The author then used the question and answer method to solve the problems of student activeness. The purpose of this writing is to describe student activeness by the question and answer method in distance learning for high school students in economics. By using the question and answer method, it will stimulate students' thoughts and responses so as to generate student activeness in distance learning by answering or asking questions. The students' activeness will provide something valuable for students in terms of thinking, acting and behaving. The author suggests for Christian educators to make students active by using the question and answer method, thus that learning becomes fun for students.ABSTRAK BAHASA INDONESIA: Keaktifan siswa menjadi salah satu faktor penting dari keberhasilan sebuah pembelajaran. Keaktifan siswa menandakan bahwa siswa benar-benar serius dalam mengikuti pembelajaran. Akan tetapi, hasil observasi yang dilakukan penulis dalam pembelajaran jarak jauh memperlihatkan adanya sikap pasif siswa, yang menunjukkan bahwa terdapat masalah terhadap keaktifan siswa, seperti: siswa hanya berperan sebagai pendengar saja, siswa sangat jarang mengajukan pertanyaan dan sangat jarang dalam mengemukakan pendapat. Penulis kemudian memilih melalui metode tanya jawab untuk menyelesaikan masalah keaktifan siswa tersebut. Adapun tujuan penulisan ini adalah menggambarkan keaktifan siswa melalui metode tanya jawab dalam pembelajaran jarak jauh siswa SMA pada pelajaran ekonomi. Metode penelitian yang digunakan adalah metode kualitatif deskriptif. Keaktifan siswa dalam pembelajaran akan membantu siswa dalam mengembangkan pemikiran dan potensi yang dimiliki siswa, sebagaimana siswa adalah gambar dan rupa Allah yang memiliki rasio dan potensi. Melalui metode tanya jawab akan merangsang pemikiran dan respon siswa sehingga membangkitkan keaktifan siswa dalam pembelajaran jarak jauh dengan men Jawab pertanyaan penulis atau bertanya kepada penulis. Keaktifan siswa tersebut akan memberikan sesuatu yang bernilai bagi siswa dalam hal berpikir, bertindak dan bersikap. Penulis menyarankan bagi para pendidik Kristen untuk senantiasa membawa pembelajaran dengan menjadikan siswa aktif melalui metode tanya jawab, supaya pembelajaran menjadi menyenangkan bagi siswa.
TRILOGI PENDIDIKAN KI HAJAR DEWANTARA SEBAGAI KESELARASAN TANGGUNG JAWAB GURU KRISTEN [KI HAJAR DEWANTARA'S TRILOGY OF EDUCATION AS AN ALIGNMENT IN CHRISTIAN TEACHER'S RESPONSIBILITY]
Authors: Yuliantin Dita , Rahmadi Pitaya 
Published: January 2025

Teachers are responsible for guiding and directing students holistically. This means that teachers do not just teach knowledge, but all aspects that touch students' lives. However, in reality, there are plenty of teachers who only prioritize knowledge and leave other aspects behind. This paper aims to explain the responsibilities of teachers in Ki Hajar Dewantara's Trilogy of Education holistically in terms of Christian education through literature review. As a result, the holistic roles and responsibilities of teachers are able to shape students to excel in all aspects that can bring change to themselves and others. In conclusion, through holistic education students can realize their existence as the restored image and likeness of God thus students can live the splendor of all God's creations and use their knowledge ethically as Christ commanded. The suggestion that the author can give for the next writing is to extend the discussion on the responsibilities of teachers, especially the responsibilities of teachers in applying the concepts of ethics and aesthetics in learning based on Ki Hajar Dewantara's Trilogy of Education in terms of Christian education. ABSTRAK BAHASA INDONESIA: Guru harus membimbing dan mengarahkan siswa secara holistis. Artinya, guru tidak sekadar mengajarkan pengetahuan, melainkan seluruh aspek yang menyentuh kehidupan siswa. Realitas yang terjadi di lapangan, masih banyak ditemukan guru yang hanya mengedepankan pengetahuan dan meninggalkan aspek lainnya. Penulisan ini bertujuan memaparkan tanggung jawab guru dalam Trilogi Pendidikan Ki Hajar Dewantara secara holistis ditinjau dari pendidikan Kristen melalui kajian literatur. Hasilnya, peran dan tanggung jawab guru yang holistis mampu dalam membentuk siswa supaya unggul dalam semua aspek yang mampu membawa perubahan bagi dirinya sendiri maupun orang lain. Kesimpulannya, melalui pendidikan yang holistis siswa dapat menyadari eksistensinya sebagai gambar dan rupa Allah yang sudah dipulihkan sehingga siswa dapat menghidupi keindahan dari seluruh ciptaan Allah dan menggunakan pengetahuannya secara beretika sebagaimana yang Kristus perintahkan. Saran yang dapat penulis berikan untuk penulisan berikutnya adalah memperbanyak bahasan mengenai tanggung jawab guru, khususnya tanggung jawab guru dalam menerapkan konsep etika dan estetika di dalam pembelajaran berdasarkan Trilogi Pendidikan Ki Hajar Dewantara ditinjau dari pendidikan Kristen.
Perbedaan Penerapan Model-Model Pembelajaran pada Mata Kuliah Pembinaan Kompetensi Mengajar di Prodi S1 TP FIP UNJ
Authors: Mulyadi Mulyadi , Tjalla Awaluddin , Mahdiyah Mahdiyah 
Published: January 2025

Penelitian evaluasi pembelajaran ini bertujuan untuk membedakan penerapan model-model pembelajaran pada mata kuliah Pembinaan Kompetensi mengajar di Prodi TP FIP UNJ. Penelitian evaluasi ini mengacu pada model penelitian evaluasi formatif dan hasilnya dilakukan dengan analisis data kategorik menggunakan uji Friedman.. Adapun model pembelajaran yang diteliti adaalah Probelem Based Learning, Cooperative Learning, Contextual Teaching and Learning dan Discovery-Inquiry Learning. Penelitian ini dilkukan dengan melibatkan 15 mahasiswa S1 TP Fakultas Ilmu Pendidikan UNJ. Hasil penelitian tentang persepsi mahasiswa terhadap implementasi model-model pembelajaran dipero;eh hasil: model Problem Based Learning [PBL] mendapat skor tertimggi 1.299 [Rerata 86,6], model Cooperatif Learning [CL] mendapat skor 1.278 [rerata 85,2, model Contextual Teaching and Learning [CTL] mendapat skor 1.280 [rerata 85,3] dan model Discovery-Inquiry Learning [DIL] mendapat skor terendah 1.276 [rerata 85,1]. Berdasarkan hasil uji Friedman nilai c2r = 1,92 dan c2r table = 7,8 pada db = 3 dan a=5%, maka tidak terdapat perbedaan pengaruh perlakuan Model Pembelajaran Probelem Based Learning, Cooperative Learning, Contextual Teaching and Learning dan Discovery-Inquiry Learning. pada pembelajaran mata kuliah Pembinaan Kompetensi Mengajar. Dengan demikiian dapat disimpulkan bahwa Ho diterima dan H1 ditolak.
Efficient Contact Algorithm for 3D Finite Element Modeling of Bottomhole Assemblies: Validation and Application
Authors: Zhang He , Tian Kaixiao , Bhaidasna Ketan 
Published: January 2025

Summary
Static analysis of the lateral deformation of a bottomhole assembly (BHA) is essential for controlling borehole trajectories in directional drilling. A major technical challenge in static BHA modeling is efficiently determining the contact configuration between the BHA and the borehole wall. This configuration, including contact locations and orientations, is not known a priori and introduces nonlinearities into the analysis. Most algorithms addressing the contact problem in BHA modeling are proprietary and lack detailed descriptions. Explicit algorithms based on the Newton-Raphson iteration method and linear/nonlinear complementarity problem formulations have limitations, such as computational inefficiency and the need for predefined contact locations. In this paper, we derive governing differential equations for 3D BHA static deformation, incorporating nonlinear effects from borehole curvature, axial forces, and both discrete and continuous contacts. The finite element method (FEM) is used to solve these equations under appropriate boundary conditions. Within the finite element framework, the Lagrange multiplier method (LMM) is used to impose displacement constraints at contact points, while an innovative iterative process ensures the unilateral nature of the contacts. The algorithm typically converges in O(10) iterations, with each iteration involving the solution of approximately O(102) finite element equations, ensuring high computational efficiency. The algorithm, grounded in principles of structural mechanics, is robust across a wide range of conditions, and its accuracy is validated against a published algorithm. The proposed BHA model is further validated using downhole measurements. In one scenario, bending moment on bit (BOB) measurements from a BHA equipped with a rotary steerable system (RSS) shows strong agreement with the model results, both in magnitude and variation pattern, when a fixed displacement boundary condition is applied at the bit. In another scenario, the BHA model is integrated with a bit-rock interface law to predict borehole propagation trajectories, demonstrating alignment with survey data when the bit side-cutting efficiency is fine-tuned. Additional analyses, including an evaluation of whirling-induced downhole tool failure, are provided in the supplementary material. These validations underscore the versatility and accuracy of the proposed model across various stages of the drilling process. Its computational efficiency makes it suitable for both offline and real-time applications, including prejob BHA designs and the development of operational parameter roadmaps for borehole trajectory control and vibration suppression, real-time integration with downhole measurements to optimize drilling performance, and post-job analysis to diagnose the root causes of undesirable drilling dysfunctions.
Health Seeking Behaviour Among Rural Dwellers in Selected Areas in Benin-republic: a Cross Sectional Study
Authors: Adeyemo Sunday Charles 
Published: January 2025

Abstract

Objective
Health seeking behavior is a major, fundamental and crucial aspect of healthcare, as it determines how individuals perceive, seek, and utilize healthcare services. Understanding health seeking behavior is essential in promoting health outcomes and preventing diseases of any kind. The study aims to assess health seeking behavior and factors influencing decision to seek medical care among rural dwellers in Cotonou, Portnovo and Abomey-Calavi, Benin Republic.
Results
One hundred and seventeen (33.4%) respondents do not seek medical care when they feel unwell while only 13 (3.7%) seek health care immediately. Majority (269,76.9%) do not think medical attention can help when they are unwell and majority 260 (74.3%) are not aware of the consequences of not seeking medical attention. Majority of the respondents 244 (69.7%) chose cost of medical care and accessibility to the facility as factors that influences their decision to seek medical care.
Prediction of intraoperative haemorrhage in oral cancer reconstruction: A retrospective cohort study
Authors: Zhang Yanling , Long Kun , Zhang Yun , Li Zhijian , Dai Ruping , Zhang Shuiting 
Published: January 2025

Abstract

Background
Despite surgery is the recommended treatment for oral cancer patients, little is known about intraoperative blood loss in this population. This study sought to identify risk factors for intraoperative haemorrhage in oral cancer resection and free flap reconstruction surgery, and to develop a machine learning-based predictive model.
Methods
This retrospective cohort study included patients with oral cancer who underwent resection and fibular flap reconstruction at a tertiary hospital. Demographic and clinical parameters were selected using a Recursive Feature Elimination algorithm. The final model for further analysis was selected after considering precision, accuracy, and area under the curve.
Results
A total of 452 individuals who had surgery for oral cancer met the criteria, with 179 individuals (39.6%) experiencing intraoperative hemorrhage, which results in higher inpatient expenses and longer durations of stay. Subsequently, 11 of 47 variables were picked for machine learning model building. In comparison, Random Forest had the highest area under the curve (AUC) (0.835, 95% CI 0.773–0.898), precision, and accuracy. Further feature importance evaluation and Shapley additive explanation analysis revealed that hemoglobin, surgical duration, total bilirubin, leucocyte count, tumor size, albumin, and Charlson comorbidity index score were significant risk factors for intraoperative bleeding. A nomogram algorithm utilizing the factors listed above was used to interpret and predict the possibility of operative hemorrhage Individualized for patients undergoing oral cancer resection and free flap reconstructive surgery.
Conclusions
Hemoglobin, surgical duration, total bilirubin, leucocyte count, tumor size, albumin, and Charlson comorbidity index score proved to be significant predictors of intraoperative hemorrhage, and Random Forest can be applied to predict the possibility of bleed loss in oral cancer resection and free flap reconstruction surgery. This study helped provide a more adequate preoperative evaluation, blood preparation for patients, and optimal blood resource utilization.
Hysteresis and Thermomagnetic Characteristics of Soils and Rocks in Eastern Botswana
Authors: MOIDAKI Moikwathai. , RANGANAI Rubeni. T. , KING James. G. 
Published: January 2025

Abstract

Soil magnetic properties are important for many applications including palaeomagnetism and (plate) tectonics, geological interpretation, geoexploration, mining, forensics, geotechnical engineering, and industry. The results of this work are a continuation of previous work on magnetic susceptibilities of soils in eastern Botswana. The magnetic properties measured include Curie temperature (Tc) determined in nitrogen gas atmosphere and hysteresis parameters (Hc, Hcr, Mr, Ms). Thermomagnetic curves were measured from room temperature up to 700 oC, enabling determination of Curie temperature which has supported the classification of the magnetic granulometry and mineralogy.
The thermomagnetic curves revealed the existence of magnetic minerals such as hematite, magnetite and pyrrhotite, and their Curie temperatures were found to be 600 °C, 580 °C, and 200 °C, respectively. The presence of magnetic materials is also revealed by the hysteresis loops of some soil samples. The hysteresis and thermomagnetic curves both indicate that the main contribution comes from magnetite-like phases. Thermomagnetic curves of soil samples collected along the Ramatlabama to Ramokgwebana, which traverses through the Kaapvaal Craton, Limpopo belt and Zimbabwe Craton could be used to differentiate the boundaries of the cratons and the orogenic belt. Airborne magnetic data covering the study area are being interpreted with particular reference to some of the measured magnetic properties and determined soil characteristics thereby increasing confidence in the geological interpretation.
Development of a coding frame for context analysis in implementation: Insights from Sumamos Excelencia project
Authors: Bernués-Caudillo Leticia , Drury Amanda , Gonzalez-María Esther , Moreno-Casbas Mª Teresa 
Published: January 2025

Abstract

Background
The selection, application and reporting of theories, models, and frameworks in implementation science can be challenging, hindering study comparisons and the advancement of science. Context analysis is a critical but underdeveloped area in implementation research. Structured approaches, such as coding frames informed by implementation science, can enhance methodological rigor and transparency. This study, part of the Sumamos Excelencia project, addresses these challenges by applying implementation frameworks to assess implementation context developing a coding frame to analyze qualitative interviews conducted during the project. The project implemented evidence-based recommendations in Spanish healthcare units using a multifaceted implementation strategy.
Methods
A literature review guided theories, models, and frameworks selection, integrating the Consolidated Framework for Implementation Research, Tailored Implementation for Chronic Diseases checklist, Expert Recommendations for Implementing Change, and Exploration, Preparation, Implementation, Sustainment framework. A coding frame was developed adhering to the content-driven process phases of Schreier’s methodology (selecting, structuring and generating, revising and expanding) and considering its requirements for a coding frame (unidimensionality, mutual exclusiveness, exhaustiveness, and saturation).
Results
Each framework provided valuable insights into the coding frame, complementing each other and enabling a comprehensive analysis of the complexity and multi-level aspects of context and implementation process. The integration of the results of the data-driven and concept-driven strategies resulted in a coding frame composed of 4 levels, 11 sublevels, 16 categories, and 82 contextual factors. The levels include factors related to the individuals involved in the implementation, factors related to the characteristics of the unit (internal context), factors related to the external context of the unit and factors related to the project's global implementation strategy. The strategies and the temporal phases were also incorporated into the coding frame.
Conclusion
This coding frame systematically captures context complexity, integrating constructs from multiple theories, models, and frameworks. It supports rigorous, standardized context analysis that is applicable beyond this project. This framework also offers a practical tool for mixed-method implementation studies, enabling novice researchers and healthcare professionals to analyze context comprehensively. Future research should validate and refine this framework across diverse settings to enhance its utility in advancing implementation science.
Federated Learning and Explainable AI for Personalized Healthcare in Resource-Limited Settings
Authors: Rahmati Milad 
Published: January 2025

Abstract

Artificial Intelligence (AI) has transformed healthcare, significantly advancing diagnostic tools, treatment methodologies, and personalized care systems. Despite these advancements, the adoption of AI in resource-constrained environments faces persistent barriers, including data privacy concerns, limited computational resources, and the need for interpretable models. This paper introduces an innovative federated learning framework, integrated with Explainable AI (XAI), to tackle these challenges. The framework enables collaborative training across distributed healthcare institutions while safeguarding patient data privacy and offering clinical decision-making transparency. Additionally, it is optimized for low-resource environments and effectively processes multi-modal healthcare data. Experimental results indicate that the proposed model outperforms conventional AI systems in predictive accuracy, communication efficiency, and interpretability. This work emphasizes the importance of scalable, secure, and interpretable AI solutions in advancing personalized medicine globally, particularly for diverse and underserved populations.
Influence of carrier material and performance optimization of anammox process based on fixed bed method
Authors: Han Jie , Wang Youzhao , Du Rui , Zhu Yaonan , Li Xu , Ma Yongguang , Dang Xiaoyan , He Shumin , Yao Sai , Zhu Tong 
Published: January 2025

Abstract

Anaerobic ammonium oxidation (anammox) is currently recognized as the most cost-effective process for wastewater nitrogen removal. In this study, the effects of volcanic rock, polyurethane sponge, fiber balls, and nylon fibers as stationary carriers, as well as the composite packing consisting of polyurethane sponge and nylon fibers, were evaluated in lab-scale fixed-bed biofilm reactors. The overall performance of the fixed-bed reactors with four types of carriers from priority to inferiority was noticed as, polyurethane sponge, nylon fibers, volcanic rock and fiber balls, with the composite packing using polyurethane sponge and nylon fibers performing better overall than the single packing under the same packing ratio of 50 v%. The porous structure of the polyurethane sponge facilitated the attachment of anammox bacteria, which contributed to achieving a total nitrogen removal rate of 0.945 kg-N/(m3-d) in 52 days. The composite packing of polyurethane sponge and nylon fiber combines the advantages of the two types of packing, and is able to achieve an average [[EQUATION]] removal efficiency of 85.6% at HRT of 6 h. The dominant genus of anammox bacteria attached to polyurethane sponge was Candidatus_Kuenenia (24.3%), and the dominant genus of anammox bacteria attached to nylon fibers was Candidatus_Kuenenia (24.1%). In conclusion, the results provide strong evidence for the realization of efficient anammox process in a fixed-bed reactor with the composite packing using polyurethane sponge and nylon fibers, and would benefit towards accomplishing a stable partial nitritation-anammox process in the future.
Effects of Prenatal Substance Exposure on Longitudinal Tri-Ponderal Mass Index Trajectories from Pre- to Early Adolescence in the ABCD study
Authors: Li Ru , Wigley Isabella , Suuronen Ilkka , Jolly Ashmeet , Tuulari Jetro 
Published: January 2025

Abstract

Objectives
The long-term relationship between prenatal substance exposure (PSE) and obesity development remains inconclusive and poorly understood. This study aimed to explore the heterogeneity in adiposity developmental trajectories from pre- to early adolescence and investigate the influence of PSE on these patterns.
Methods
Five waves of data from 7 881 children enrolled in the Adolescent Brain Cognitive Development (ABCD) Study (Release 5.1) were analyzed. Tri-Ponderal Mass Index (TMI) was used to assess adiposity levels. PSE (e.g., tobacco, alcohol, caffeine, and marijuana) was collected via maternal self-report. Latent growth mixture modeling was conducted to identify TMI trajectories, followed by multinomial logistic regression to examine the role of PSE in TMI profiles, controlling for various factors.
Results
Three trajectories were identified: Stable TMI (86.6%), Increasing TMI (12.5%), and Decreasing TMI (0.9%). The risk of exhibiting an Increasing TMI was associated with prenatal exposure to tobacco (β = 1.53, 95% CI = 1.26–1.86, p < .001) and caffeine (daily use: β = 1.39, 95% CI = 1.16–1.68, p < .001; weekly use: β = 1.38, 95% CI = 1.13–1.69, p < .05), with dose-dependent effects. Notably, tobacco exposure both before (β = 1.55, 95% CI = 1.27–1.89, p < .001) and after awareness of pregnancy (β = 1.51, 95% CI = 1.10–2.08, p < .05) contributed to this risk, with no significant benefit from maternal cessation after pregnancy awareness. Multiple PSE substantially elevated the risk of increasing adiposity (β = 1.70, 95% CI = 1.27–2.27, p < .001).
Conclusions
Obesity risk can emerge long before adolescence, even during prenatal development. The findings regarding the long-term influence of prenatal substance exposure on adiposity development during adolescence highlight the importance of preconception and prenatal health interventions to mitigate the risk of obesity in offspring.