Students’ attitude towards physics: Its influence on their performance before and after the use of interactive simulations by Mhamed Ben Ouahi, Mohamed Droui, Elyazid Hida, Taoufik Hassouni, El Mehdi AL Ibrahmi

“…The results show that using interactive simulations based on the 5E in physics teaching and learning has a positive impact on students’ school performance and attitudes. …”
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Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer by Antonio J. Rodriguez-Almeida, Carmelo Betancort, Ana M. Wägner, Gustavo M. Callico, Himar Fabelo, on behalf of the WARIFA Consortium

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An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing imagesGosNIIASLEarning, VIsion and Remote sensing laboratory by Yanbo Sun, Wenxing Bao, Wei Feng, Kewen Qu, Xuan Ma, Xiaowu Zhang

“…Change detection (CD) is a meaningful and challenging task for remote sensing (RS) image analysis. Deep learning (DL) based methods have shown great potential in change detection tasks, there are still two problems with existing deep learning methods such as CNN and Transformer: (1) They do not target different depths to extract global semantics in the network; (2) The increase in network depth will lead to uncertainty in the edge pixels of changing targets and the absence of small targets. …”
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Detection of network intelligence features with the decision tree model by N. P. Sharaev, S. N. Petrov

“…The study was carried out to develop software module for detecting the features of network intelligence by machine learning methods.M e t h o d s . Analysis of open datasets of appropriate destination; formation of metrics characteristic of network intelligence; development of a dataset based on certain metrics; study of the effectiveness of machine learning methods for classification task.R e s u l t s .  …”
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Predicting Court Judgment in Criminal Cases by Text Mining Techniques by Mohammad Farhadishad, Mohammad Kazemifard, Zahra Rezaei

“…Then machine learning methods were used for modeling. BERT, TFIDF+Adaboost, and Skipgram+LSTM+CNN methods had the highest accuracy, respectively. …”
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DIRECTIONS FOR IMPROVING THE QUALITY OF POSTGRADUATE EDUCATION OF PHYSICIANS by Н. Каспрук, С. Батрановська, С. Мельничук, Т. Унгурян, Т. Копчук, А. Петрюк

“…To enhance training outcomes, a survey was conducted among 75 interns who had completed training over the previous two years. A total of 95% positively evaluated the use of interactive teaching methods and confirmed their suitability for postgraduate education. …”
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Association between the stress hyperglycemia ratio and all-cause mortality in patients with hemorrhagic stroke: a retrospective analysis based on MIMIC-IV database by Wei Zhu, Wei Zhu, Dingke Wen, Lijuan Duan, Lijuan Duan, Chaofeng Fan, Chaofeng Fan, Yan Jiang, Yan Jiang

“…Restricted cubic spline analysis demonstrated non-linear associations between SHR and all-cause mortality at 28 and 90 days (p-non-linear < 0.05), while the overall trend remained significantly positive. The machine learning models identified SHR as a key predictor, with area under the curves (AUC) of 0.771 (28-day), 0.778 (90-day), and 0.778 (365-day).ConclusionThis study revealed threshold-dependent associations between the SHR and short- and long-term all-cause mortality in patients with hemorrhagic stroke. …”
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A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial by Minha Kim, Meong Hi Son, Suhyeon Moon, Won Chul Cha, Ik Joon Jo, Hee Yoon

“… Abstract BackgroundUltrasound education is transitioning from in-person training to remote methods using mixed reality (MR) and 5G networks. …”
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Comparison of Dimensionality Reduction Approaches and Logistic Regression for ECG Classification by Simeon Lappa Tchoffo, Éloïse Soucy, Ismaila Baldé, Jalila Jbilou, Salah El Adlouni

“…While SR is considered normal, the other four represent types of cardiac arrhythmias. A range of methods is utilized, including the supervised learning technique K-Nearest Neighbors (KNNs), combined with dimensionality reduction approaches such as Principal Component Analysis (PCA) and Uniform Manifold Approximation and Projection (UMAP), a modern method based in Riemannian topology. …”
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The Role of Performance Metrics in Estimating Market Values of Footballers in Europe's Top Five Leagues by Murat Işık, Mehmet Ali Yalçınkaya

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Future directions: what LIES ahead for smart biochemical wearables in health monitoring? by S. Kharb

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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…Recent advances in deep learning demonstrate promising potential to improve diagnostic accuracy, reduce false positives/negatives, and alleviate radiologists’ workload, thereby enhancing clinical decision-making in breast cancer management.MethodsThis study trains and evaluates 14 deep learning models, including AlexNet, VGG16, InceptionV3, ResNet50, Densenet121, MobileNetV2, ResNeXt, RegNet, EfficientNet_B0, ConvNeXT, ViT, DINOV2, UNI, and GigaPath on the BreakHis v1 dataset. …”
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Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing by Yang Liu, Shujun Liu, Huajun Wang

“…In recent years, deep learning-based hyperspectral unmixing has increasingly incorporated spatial information to improve performance. …”
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Exploring single-head and multi-head CNN and LSTM-based models for road surface classification using on-board vehicle multi-IMU data by Luis A. Arce-Saenz, Javier Izquierdo-Reyes, Rogelio Bustamante-Bello

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A TRIZ-based algorithm for business model innovation in manufacturing SMEs: a systematic framework for strategic innovation integrated with the business model canvas by Juan G. Mejia-Duque, Andres Guerrero-Alvarado

“…The algorithm systematically transforms business models by applying TRIZ to all BMC components, addressing SMEs’ key challenges and positioning TRIZ as a strategic BMI tool rather than just a problem-solving method. …”
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DEVELOPMENT OF STUDENTS’ INTERCULTURAL COMMUNICATIVE TOLERANCE IN THE UNIVERSITY MULTILINGUAL EDUCATIONAL ENVIRONMENT by A. P. Beketova, T. V. Kuprina, A. Petrikova

“…Methodological framework of the publication is based on the key conceptions of communication-oriented learning. …”
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To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions by Pengyu Chen, Zhenwei Yang, Peigang Ning, Hao Yuan, Zuochao Qi, Qingshan Li, Bo Meng, Xianzhou Zhang, Haibo Yu

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Adapting amidst adversity: investigating medical educators’ attitudes towards change and resilience in the face of educational barriers during COVID-19 pandemic by Laleh Khojasteh, Zahra Karimian, Elham Nasiri, Reza Kafipour

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Phthalate Metabolites Were Related to the Risk of High-Frequency Hearing Loss: A Cross-Sectional Study of National Health and Nutrition Examination Survey by You LM, Zhang DC, Lin CS, Lan Q

“…This study aimed to investigate the relationship between phthalate metabolites and hearing loss.Methods: We conducted a cross-sectional study with 1713 participants based on the National Health and Nutrition Examination Survey 2015– 2018. …”
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Improving risk stratification of PI-RADS 3 + 1 lesions of the peripheral zone: expert lexicon of terms, multi-reader performance and contribution of artificial intelligence by Philip A. Glemser, Nils Netzer, Christian H. Ziener, Markus Wilhelm, Thomas Hielscher, Kevin Sun Zhang, Magdalena Görtz, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, David Bonekamp

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