Young People with Complex Needs as a Particular Challenge for the Education System by Špela Razpotnik, Matej Sande, Bojan Dekleva, Darja Tadič, Mija Marija Klemenčič Rozman, Jana Rapuš Pavel

“…The interviews with the selected participants are qualitatively analysed using content analysis based on a scheme of key social systems: school/education, family, peer networks, local community and other (formal) support services. …”
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Multimodal Model for Non-Invasive Detection of DRD2, SSTR2 and ESR1 Receptor Profiling in Pituitary Neuroendocrine Tumors: A Retrospective Study by Jianglong Lu MD, Xianpeng Wang MBBS, Jinghao Jin MBBS, Fanjie Xu MBBS, Runhua Tang MBBS, Cheng Han MD, Zerui Wu MD, Zhipeng Su PhD, Yuhang Guo PhD

“…Materials and Methods : A total of 186 patients with complete imaging data (coronal T1-weighted, T2-weighted, and contrast-enhanced T1-weighted MRI) were included for model construction (training set, n = 148; validation set, n = 38). …”
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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. …”
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Exploring VR and Neuroscience Methodologies in Interior Design: A Systematic Review by Yasemin Albayrak-Kutlay, Murat Bengisu

“…The findings highlight the critical role of IVR and biometric analysis in enhancing research validity. However, variability in data reliability and differences between self-assessed and neurophysiological outcomes, particularly in EEG studies, have been noted. …”
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Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back Working Memory Tasks by Zhenming Zhang, Yaojing Chen, Aidong Men, Zhuqing Jiang

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THE PROBLEM OF ENERGY EFFICIENCY OF SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE OF THE INTERNET OF THINGS (AIOT) by С. В. Войтко

“…It was determined that integrating artificial intelligence functionality into the IoT infrastructure provides the opportunity to store big data for processing using artificial intelligence elements capable of conducting predictive analysis to make informed management decisions. …”
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Technological capabilities of statistical indicators to support the educational policy of Russia by K. A. Avanesyan, M. A. Borovskaya, M. A. Masych, S. A. Kochkin

“…With reference to the above mentioned, the authors aim to form a methodological approach to the analysis of educational inequality through the prism of applied economic analysis based on micro data from statistical surveys and monitoring for their effective inclusion in educational policy. …”
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Correlations and comparisons of teacher expectations achievement motivation academic achievement and creativity by Jun Hu, Shan Qian

“…Achievement motivation was evaluated with the Achievement Motivation Scale, and creativity was measured using a standardized creativity assessment. Data were analyzed using analysis of variance (ANOVA), correlation analysis, and structural equation modeling (SEM).ResultsTeacher expectations had a significant positive effect on academic achievement. …”
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The Place of Global Issues in Foreign Language Classes from the Perspective of English Lecturers: A Critical Look by Kadriye Dimici

“…Method: This qualitative study adopts a case study design through interviews with 13 English lecturers from various universities in Türkiye. Data was analyzed using thematic analysis to identify common patterns in lecturers' approaches to global issue integration. …”
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The Relationship Between Metalinguistic Awareness & Linguistic Redundancy, Some Notes for Turkish Instructors by Alpaslan Okur, Seda Demir

“…The study was designed with a case study, which is a qualitative research design, and the data obtained in the research were subjected to content analysis and descriptive analysis. …”
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Cross-Encoder-Based Semantic Evaluation of Extractive and Generative Question Answering in Low-Resourced African Languages by Funebi Francis Ijebu, Yuanchao Liu, Chengjie Sun, Nobert Jere, Ibomoiye Domor Mienye, Udoinyang Godwin Inyang

“…Transfer learning with state-of-the-art models has been beneficial in this regard, but the performance of low-resource African languages with morphologically rich grammatical structures and unique typologies has shown deficiencies linkable to evaluation techniques and scarce training data. …”
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Levels of serum per- and polyfluoroalkyl substances and association with dyslipidemia in the Korean population by Kangyeon Park, Da-An Huh, Lita Kim, Yun-Hee Choi, Jiyoun Lee, Se Hyun Hwang, Hyeon Jeong Choi, Woohyun Lim, Kyong Whan Moon

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CCDC138 overexpression predicts poor prognosis and highlights ciliopathy-linked mechanisms in uterine corpus endometrial carcinoma by Aiping Wang, Fang Yang, Chunhua Zhang, Shi Li, Han Fu

“…Bioinformatics approaches, including weighted gene co-expression network analysis (WGCNA), singlesample gene set enrichment analysis (ssGSEA), machine learning, and survival analysis, were employed to assess CCDC138 expression and its functional relevance in UCEC. …”
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Integrative single-cell and exosomal multi-omics uncovers SCNN1A and EFNA1 as non-invasive biomarkers and drivers of ovarian cancer metastasis by Liping Tang, Dong Pang, Chengbang Wang, Jiali Lin, Shaohua Chen, Jiangchun Wu, Junqi Cui

“…We then applied ten machine learning algorithm to exosomal transcriptomic data to evaluate diagnostic performance and identify the optimal classifier. …”
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Nurses’ knowledge, attitudes, and behaviors of inadvertent perioperative hypothermia prevention in China: a multicenter, cross-sectional study by Lei Yang, Wenjuan Tang, Qingqing Du, Yingmin Liu, Zhen Wang, Xia Yang

“…General demographic information questionnaire, the knowledge, attitudes, and behaviors questionnaire, and the self-efficacy scale were used for data collection. Descriptive analysis, univariate analysis, correlation analysis, and multiple linear regression analysis were used for data analysis. …”
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Economic Evaluation of a Novel Lung Cancer Diagnostic in a Population of Patients with a Positive Low-Dose Computed Tomography Result by Michael J. Morris, Sheila A. Habib, Maggie L. Do Valle, John E. Schneider

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Causes of baseflow variation in an inland river watershed of Northwest China by Mengwei Song, Hailong Liu, Quanlong Wu, Aminjon Gulakhmadov, Firdavs Shaimuradov

“…Furthermore, the impacts of hydroclimatic variables and vegetation conditions on baseflow were quantitatively evaluated through explainable machine learning approaches, specifically Categorical Boosting (CatBoost) coupled with SHapley Additive exPlanations (SHAP) analysis. …”
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Compassion fatigue in helping professions: a scoping literature review by Amelia Mohd Noor, Dodi Suryana, Engku Mardiah Engku Kamarudin, Noor Banu Mahadir Naidu, Siti Rozaina Kamsani, Priyalatha Govindasamy

“…Methods A systematic search was conducted on electronic databases, namely ScienceDirect, PubMed, and Taylor and Francis. Data analysis was conducted using PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). …”
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Exploring genetic causal relationships between spinal cord injury and glioma: a Mendelian randomization study by Guangbiao Li, Jingquan Li, Chaoen Hua, Dachuan Pan, Yonghong Li, Huafang Hu, Gang Wu

“…Additionally, we analyzed gene expression patterns using RNA-sequencing data from TCGA and GEO databases, performed machine learning-based risk stratification, and validated our findings using single-cell RNA sequencing data from glioma patient tissues (GSE131928). …”
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Opportunities and Challenges: The Use of ChatGPT in Enabling Library Knowledge Services by Huaming LI

“…At the same time, the application focuses on the risks and challenges posed by technical limitations, intellectual property rights, user privacy, harmful information, data sources, academic integrity and other aspects. …”
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