INNOVATIVE METHODS OF TEACHING HISTORY AT MODERN UNIVERSITIES by A. Yu. Suslov, M. V. Salimgareev, Sh. S. Khammatov

“…Students, for their part, have to demonstrate high motivation and activity, to find independently required data, to process and analyze information including historical original sources.Practical significance. …”
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Construction of a predictive model for cognitive impairment among older adults in Northwest China by Yu Wang, Ni Wang, Yanjie Zhao, Xiaoyan Wang, Yuqin Nie, Liping Ding

“…The participants and data included in this study were from the National Key Research and Development Project “Intelligent Elderly Disability Monitoring and Early Warning Network System Construction.” …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…Innovations in machine learning, particularly those involving Bidirectional Encoder Representations From Transformers (BERT)–based deep learning and large language models, have significantly advanced NER capabilities. …”
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Transparent and Robust Artificial Intelligence-Driven Electrocardiogram Model for Left Ventricular Systolic Dysfunction by Min Sung Lee, Jong-Hwan Jang, Sora Kang, Ga In Han, Ah-Hyun Yoo, Yong-Yeon Jo, Jeong Min Son, Joon-myoung Kwon, Sooyeon Lee, Ji Sung Lee, Hak Seung Lee, Kyung-Hee Kim

“…Recent advances in deep learning offer new opportunities to identify left ventricular systolic dysfunction (LVSD), a key indicator of HF, from ECG data. …”
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Identification of Specific Abnormal Brain Functional Activity and Connectivity in Cancer Pain Patients: A Preliminary Resting-State fMRI Study by Hua Y, Geng Y, Liu S, Xia S, Liu Y, Cheng S, Chen C, Pang C, Zhao Z, Peng B, Dai Y, Ji J, Wu D

“…Through statistical analysis, differences in brain functional activity and connectivity between the cancer pain group and the healthy control group were investigated, followed by machine learning classification.Results: The results showed that compared to the normal group, reductions in the ALFF were primarily observed in the bilateral inferior temporal gyrus; ReHo increased in the right middle temporal gyrus and decreased in the left cerebellum Crus2. …”
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Clustered Rainfall-Induced Landslides in Jiangwan Town, Guangdong, China During April 2024: Characteristics and Controlling Factors by Ruizeng Wei, Yunfeng Shan, Lei Wang, Dawei Peng, Ge Qu, Jiasong Qin, Guoqing He, Luzhen Fan, Weile Li

“…This study provides an effective methodology and data support for rapid rainfall-induced landslide identification and deep learning-based susceptibility assessment.…”
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Bioinformatics-based screening and validation of PANoptosis-related biomarkers in periodontitis by Qing Sun, Qing Sun, JinYue Hu, JinYue Hu, RuYue Wang, RuYue Wang, ShuiXiang Guo, ShuiXiang Guo, GeGe Zhang, GeGe Zhang, Ao Lu, Ao Lu, Xue Yang, Xue Yang, LiNa Wang, LiNa Wang

“…Functional enrichment analysis was performed for these key genes. Machine learning algorithms were then applied to screen for potential biomarkers. …”
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Multicultural values: meeting point of two forces in developing Islamic education by Dwi Mariyono

“…Design/methodology/approach – This study adopts a qualitative research approach, using literature review and analysis of empirical data to explore the intersection of entrepreneurial spirit and multicultural values in Islamic education. …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Recent development of graph neural networks (GNNs) has demonstrated unsupervised modeling power on road network data, which learn the embedded vector representation of road networks through spatial feature induction and topology-based neighbor aggregation. …”
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PENGEMBANGAN KIT PRAKTIKUM ELEKTRONIKA DASAR II BERBASIS SIMULATOR PROTEUS UNTUK MENINGKATKAN KEMAMPUAN MAHASISWA DALAM PEMECAHAN MASALAH by Suwardi Suwardi, Erik Ayatullah, Haidul Haidul

“…Whereas the Proteus simulator can help in observing symptoms that cannot be observed directly and as comparative data. This research is a type of research and development with stages are needs analysis, initial product development, expert validation, field testing and product revision. …”
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Development of a rigorous mathematical thinking-based textbook in the house of worship context to enhance conceptual understanding by Fatrima Santri Syafri, Agus Susanta, Irwan Koto

“…These findings highlight its potential as an effective resource for mathematics learning in PGMI contexts.…”
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Management of Teachers’ Spiritual Competence In The Perspective of Qur’an: A Study of Surah Taha Verses 9-47 In The Perspective of Muhammad Ali Ash-Shabuni by Ariyanto Slamet, Makruf Imam

“…The literature review was conducted using the libarry research method to obtain relevant data. The analysis showed that the planning and organization phase consists of five main parts, namely: 1) in verses 9-13, Allah SWT has chosen us, particulary the teachers, to carry on the message of Prophet Muhammad, just as Musa was selected as a prophet; 2) in verses 14-23, the text emphasizes the importance of worshipping Alalh SWT, believing in the Day of Judgment and accepting death as inevitable, acknowledging that all creations are the mercy of Allah SWT, and trusting only Him; 3) verses 24-36 underline the value of mutual cooperation and assistance when the need arises; 4) in verses 37-40, recall Allah’s blessings and favors, which inspire devotion and worship to Him; 5) subsequently, in verses 41-47, the teacher should prioritize ongoing learning. …”
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Methodology Based on Critical Reflective Dialogue to Optimize Educational Leadership by Sofía Gamarra-Mendoza, José Gregorio Brito-Garcías

“…The methodology follows a mixed approach, with a sample of 136 teachers and 16 key informants, using a validated questionnaire and an in-depth interview as instruments. Data analysis showed low interaction between educational leaders and the community, a disconnect with the curricula, and a low sense of responsibility and commitment, reflected only in administrative compliance. …”
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CNN-LSTM Model Optimized by Bayesian Optimization for Predicting Single-Well Production in Water Flooding Reservoir by Lei Zhang, Hongen Dou, Kun Zhang, Ruijie Huang, Xia Lin, Shuhong Wu, Rui Zhang, Chenjun Zhang, Shaojing Zheng

“…This study is considering more than 60 dynamic and static factors that affect the changes of oil well production, introduce water injection parameters into data set, select 11 main control factors, and then, build a CNN-LSTM model optimized by Bayesian optimization. …”
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The Impact of Work Environment and Teacher Attributes on Teacher Job Satisfaction by Hsiang-Wei Ker, Ying-Haur Lee, Shu-Meei Ho

“… Background/purpose – Teachers play a critical role in student learning processes and in their academic success, and as such their job satisfaction directly impacts upon their teaching efficacy and lecture quality. …”
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Development of Mobile Exam Application to Prevent Student Exam Cheating on High School Computational Thinking Informatics Materials by Mukhamad Khasan Tiarani, Triana Rejekiningsih, Sri Sumaryati

“…The research follows the 4D development model (Define, Design, Develop, Disseminate) and collects data through questionnaires, observations, pre-test and post-test in control and experimental classes. …”
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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…The HAM10000 dataset with data augmentation is considered to assess the performance of the proposed method. …”
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English language education in Chinese primary schools: exploring EFL teachers’ attitudes, self-efficacy, and perceived school environment by Jie Song, Jahirul Mullick, Tao Jiang

“…A questionnaire comprising four scales was administered to a randomly chosen sample of EFL teachers (n = 861) from Zhejiang province in China. Data analysis was conducted using SPSS 26.0, employing descriptive statistics and inferential statistics, including ANOVA and linear regression. …”
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Pediatric Long COVID Subphenotypes: An EHR-based study from the RECOVER program. by Vitaly Lorman, L Charles Bailey, Xing Song, Suchitra Rao, Mady Hornig, Levon Utidjian, Hanieh Razzaghi, Asuncion Mejias, John Erik Leikauf, Seuli Bose Brill, Andrea Allen, H Timothy Bunnell, Cara Reedy, Abu Saleh Mohammad Mosa, Benjamin D Horne, Carol Reynolds Geary, Cynthia H Chuang, David A Williams, Dimitri A Christakis, Elizabeth A Chrischilles, Eneida A Mendonca, Lindsay G Cowell, Lisa McCorkell, Mei Liu, Mollie R Cummins, Ravi Jhaveri, Saul Blecker, Christopher B Forrest, RECOVER Consortium

“…In this exploratory analysis, we identified a cohort of pediatric (age <21) patients with evidence of Long COVID and no pre-existing complex chronic conditions using electronic health record data from 38 institutions and used an unsupervised machine learning-based approach to identify subphenotypes. …”
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Understanding university students' experiences of sitting while studying at home: A qualitative study. by Hannah Clare Wood, Sanjana Prabhakar, Rebecca Upsher, Myanna Duncan, Eleanor J Dommett, Benjamin Gardner

“…Fourteen UK undergraduates (10 female; mean age = 20 years) participated in semi-structured interviews that explored their experiences, beliefs, and attitudes regarding sitting while studying at home. Data were analysed using Reflexive Thematic Analysis. …”
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