Assessing the Intellectual Structure of the Evolving Knowledge Base on ChatGPT in the Field of Education and Health by Murat Demirkol and Nedim Malkoc

“…The current study was conducted with the purpose of exploring the scientific landscape of the evolving knowledge base related to the use of ChatGPT in the field of education and health through science mapping analysis of published research. Materials/methods – Data were retrieved from Web of Science and Scopus, and a comparative, period-based science mapping analysis was conducted using the SciMAT software. …”
Get full text

DETERMINING THE DENSITY AND MOLAR MASS OF AIR IN A HOME EXPERIMENT by Serhii Podlasov

“…Experimental research is an integral part of physics education. During distance learning, students can carry out hands-on experiments only at home. …”
Get full text

Application of artificial intelligence-based stemness index in cancer by Liyuan Liu, Qin Pei, Javeria Qadir, Yiyu Chen, Jingyuan Li, Yanan Luo, Jiawen Xian, Rongrong Du, Ting Ye

“…With the advancements in artificial intelligence (AI), particularly in data analysis and machine learning, the identification and understanding of CSCs’ stemness characteristics have improved. …”
Get full text

Mass spectrometry is a new approach to diagnosing adenomyosis and cancer of the corpus uteri by A. V. Sorokina, V. E. Radzinsky, E. A. Mustafina, V. V. Barinov, L. I. Bokina, G. P. Arapidi, R. Kh. Ziganshin

“…Sera from 60 apparently healthy women (mean age 40 years; a control group), 40 patients with a verified diagnosis of adenomyosis (mean age 41 years) and 42 patients with uterine corpus cancer (UCC) (mean age 58 years) were fractionated on magnetic beads with weak cation exchange surface, followed by an examination of the obtained fractions by time-of-flight mass spectroscopy (MS) with ma- trix-activated laser desorption/ionization. MS data analysis using classification algorithms, such as a genetic algorithm and a learning neural network, made it possible to construct mathematical models that were able to differentiate MS profiles of the above sample groups with a high specificity and a high sensitivity. …”
Get full text

The impact of migrant work experience on the adoption behavior of green production technologies among new professional farmers: evidence from Jiangxi and Guangdong provinces, China by Xian Kai Lei, Xian Kai Lei, Wen Li Zhao, Gui Hua Zhang, Yong Xin Chen

“…Third, heterogeneity analysis reveals differentiated effects: Migrant work experience exhibits stronger promotion effects on the adoption of water-saving technologies compared to energy-saving and environmental protection technologies, a disparity linked to variations in application costs, technical barriers, and learning curves across technology types. …”
Get full text

Artistic Negotiation of Emma and Lucy Annual Drama The Musical Jekyll & Hyde: A Performance Quadrilogue View by Rachel Mediana Untung, Purwanti Kusumaningtyas

“…This study positioned artistic elements as its study object instead of drama as a media of English learning. These two domains are discussed to sharpen on the construction of the female figure in the artistic perspective of feminist analysis. …”
Get full text

Suicide prevention for the veterinary profession—a preliminary investigation to explore veterinarians’ perceptions of ASIST training for their profession by Judith Smith, Jacinta Hawgood

“…Participants were females (87.5%) and males (12.5%) aged 30 to 66 years (M = 45, SD = 12.37) who engaged in individual interviews. Thematic analysis identified common and important patterns of meaning within the data.ResultsThree main themes and associated sub-themes were identified: Impactful workshop delivery and learning environment; Relevance of ASIST training for the veterinary profession; and Unique challenges and needs for suicide prevention in the veterinary profession. …”
Get full text

Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…In this study, advanced compositional models were developed using a broad range of machine learning (ML) techniques to predict Rs efficiently and reliably. …”
Get full text

Medical students' and educators' opinions of teleconsultation in practice and undergraduate education: A UK-based mixed-methods study. by Lisa-Christin Wetzlmair-Kephart, Andrew O'Malley, Veronica O'Carroll

“…Descriptive and correlation analyses and a thematic analysis were conducted.<h4>Results</h4>A total of 248 participants completed the questionnaire and 23 interviews were conducted. …”
Get full text

Understanding the Relationship Between Safety Satisfaction and Total Recordable Incident Rate (TRIR), and Their Relevant Processes Through Self-Determination Theory by Kritsada Khun-anod, Tsunemi Watanabe, Satoshi Tsuchiya

“…Correlation analysis showed a weak correlation and non-significant link between satisfaction and TRIR, challenging common assumptions. …”
Get full text

The Influence of the Independent Teaching Platform on Teachers' Ability In Managing The Pancasila Student Profile Strengthening Project (P5) by Putriana, Edi Waluyo

“…Research data was taken by distributing questionnaires. Then, the research results were processed using normality tests, nonparametric tests, regression analysis, and coefficient of determination. …”
Get full text

A robust multiplex-DIA workflow profiles protein turnover regulations associated with cisplatin resistance and aneuploidy by Barbora Salovska, Wenxue Li, Oliver M. Bernhardt, Pierre-Luc Germain, Qinyue Wang, Tejas Gandhi, Lukas Reiter, Yansheng Liu

“…We also introduce KdeggeR, a data analysis tool optimized for pSILAC-DIA experiments, which determines and visualizes peptide and protein degradation profiles. …”
Get full text

MINI SOLAR PANEL PROPS WITH GUIDED INQUIRY MODEL TO IMPROVE SCIENCE LITERACY by Andini Pertiwi, Maryati Maryati, Sarina Sarina, Jumadi Jumadi, Insih Wilujeng, Laifa Rahmawati

“…The instrument used was a science literacy test, while data analysis was conducted using descriptive and inferential statistics. …”
Get full text

A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…The results highlight LIHA’s potential to advance early geological hazard identification and mitigation, particularly when integrated with machine learning for future applications. This work bridges signal processing and geospatial analysis, offering a reproducible framework for high-precision terrain feature extraction in complex environments.…”
Get full text

Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network by Hang Thi Phuong Nguyen, Hieyong Jeong

“…The analysis of nail-fold anatomy can effectively evaluate microcirculation and diagnose vascular-related diseases. …”
Get full text

Medical and Social Characteristics of Living Conditions, Lifestyle, and Motivation to Become a Doctor among Students and Residents of Medical University by D. P. Derbenev, E. N. Sergeeva

“…The research was based on the data of a medical and sociological analysis carried out from 2020 to 2023. …”
Get full text

Comparison of pre-trained models for domain-specific entity extraction from student report documents by Antonina V. Melnikova, Marina S. Vorobeva, Anna V. Glazkova

“…Extracting domain-specific entities from student report documents is a relevant task since the obtained data can be used for various purposes, ranging from the formation of project teams to the personalization of learning pathways. …”
Get full text

Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…In order to assess the effectiveness of the proposed neural network in predicting the dynamics of inflammation, a comparative analysis was carried out using a number of conventional methods, such as exponential smoothing, moving average, least squares and group data handling.Conclusion.The proposed neural network based on approximation and extrapolation of variations in the patient’s medi‑ cal history over fixed time window segments (within the ‘sliding time window’) can be successfully used for forecasting the development and outcome of erysipelas.…”
Get full text

HOW IS ARTIFICIAL INTELLIGENCE CHANGING HR? ADAPTIVE MANAGEMENT FOR THE NEW ENVIRONMENT by Dmytro Antoniuk, Bjoern Sven Ivens, Olexandr Kolyada

“…The study uses a mixed approach, combining literature review, empirical data collection based on interviews with companies of different sizes, and correlation analysis. …”
Get full text

University students’ lived experiences of blogging as a tool for writing: A hermeneutic phenomenological exploration in the Bangladeshi context by Easir Arafat, Nashrah Sharfuddin, John Paul Shimanto Sarkar, Tarannum Fatema Chowdhury

“…This study employed the Social Cognitive Theory as its theoretical framework and data analysis was guided by the hermeneutic circle, investigator triangulation, and thematic analysis. …”
Get full text