Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

“…IDSs, classified as anomaly-based or signature-based, have increasingly incorporated deep learning models into their framework. …”
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Emancipatory Qur'anic Hadith Education in the Digital Age: A Critical Analysis of Learning Models in MTsN 1 Palangka Raya by Moh. Ali Muttaqo, Desi Erawati

“…Data collection techniques were conducted through observation, in-depth interviews and documentation, while data analysis used descriptive-critical techniques based on Freire's theory. The results show that although some teachers have realized the importance of a dialogical approach and started using digital technology, the learning model is still dominated by the banking education pattern. …”
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Effects of Computer-Assisted Working Memory Training Programme on Working Memory Ability and Mathematical Performance of Children at Risk of Mathematical Learning Difficulties by Kamyar Azimi, Manijeh Shehniyailagh, Alireza Hajiyakhchali, Maneli Shehni Karamzadeh

“…Most importantly, it is uncertain whether the positive effects observed in laboratory settings can be replicated in real-world learning environments. …”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…Objective This study aims to develop an Artificial Intelligence (AI) diagnostic scheme that improves the performance of identifying and categorizing pulmonary nodules using CT scans. Method The proposed deep learning framework used convolutional neural networks, and the image database totaled 1,056 3D-DICOM CT images. …”
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Understanding adaptations in a community-vetted COVID-19 testing program by Breanna J. Reyes, Stephenie Tinoco Calvillo, Angel Lomeli, Angel Lomeli, Arleth A. Escoto, Maria Linda Burola, Kelli L. Cain, Linda Salgin, Linda Salgin, Maria Balbuena-Bojorquez, Anne-Marie Engler, Marva Seifert, Louise C. Laurent, Nicole A. Stadnick, Nicole A. Stadnick, Nicole A. Stadnick, Borsika A. Rabin, Borsika A. Rabin

“…Here, we report processes used for tracking and evaluating adaptations made during the CO-CREATE project, which aimed to address COVID-19 testing disparities in the San Ysidro US/Mexico border community.MethodsThe study utilized a longitudinal, prospective, mixed methods approach to systematically document and assess adaptations across the pre-implementation, early and mid/late-implementation phases of the project. …”
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The effects of perceived distributed leadership on teacher professional development among primary school teachers: The mediating role of teacher professional learning community by Xiaomin Yang, Yuan-Cheng Chang

“…The research results indicate that both distributed leadership and teacher professional learning communities can positively predict teacher professional development, and distributed leadership can positively predict teacher professional learning communities; The teacher professional learning community plays a completely mediating role between distributed leadership and teacher professional development.…”
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Basic Research on the Development of an Automatic Heart Sound Diagnosis System - Analysis of Heart Sounds for Learning Policy and Experiment for the Prototype of the Auscultation P... by Hirotoshi Hishida, Koichi Tokuuye, Keiko Hishida, Hayato Tojo, Yasuhiro Hishida, Tomomi Koide

“…A design policy was established for a specific data flow and learning method for the automatic heart-sound diagnosis system under development. …”
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An enhanced machine learning approach with stacking ensemble learner for accurate liver cancer diagnosis using feature selection and gene expression data by Amena Mahmoud, Eiko Takaoka

“…The stacking ensemble achieved an accuracy of (97%), outperforming individual machine learning algorithms and traditional diagnostic methods. …”
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Machine Learning Unveils the Impacts of Key Elements and Their Interaction on the Ambient-Temperature Tensile Properties of Cast Titanium Aluminides Employing SHAP Analysis by Shiqiu Liu, Li Liang

“…This study facilitates the data-driven design of novel cast TiAl alloys by systematically investigating the critical elements and their interactions affecting room-temperature (RT) tensile properties by the machine learning method based on SHAP analysis. Comparative analysis of three algorithms within the training dataset proved the random forest regression (RFR) as the optimal modeling approach. …”
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Cimiciato defect detection in hazelnuts: CNN models applied on X-ray images by Andrea Vitale, Matteo Giaccone, Antonio Gaetano Napolitano, Flavia de Benedetta, Laura Gargiulo, Giacomo Mele

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Evaluation of the training program of the community medicine interns based on the Kirkpatrick model by Bahar Moarrab, Lida Jarahi, Seyed Masoud Hosseini, Ali Emadzadeh, Roya Moallem, Mojtaba Mousavi Bazaz

“…This study aimed to evaluate the educational programs of community medicine interns based on the Kirkpatrick model.Method: This descriptive-analytical research was conducted in the Community Medicine Department of the Medical Faculty of the Mashhad University of Medical Sciences from 2015 to 2018. …”
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The Development of Green Chemistry Teaching Material Based on Organic Compound Synthesis by Annisa Mustika Pertiwi, Deana Wahyuningrum

“…This research aims to produce context-based green chemistry teaching materials for senior high school students on the basis of experiments using an ionic liquid and microwave-assisted organic synthesis (MAOS) method in the synthesis of an organic compound named dehydrozingerone (DHZ) from vanillin and acetone. …”
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Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmatio... by Muqing Yan, Qiandong Zeng, Zhenxi Zhang, Patricia Okamoto, Stanley Letovsky, Angela Kenyon, Natalia Leach, Jennifer Reiner

“…Results WES variant calls from Genome in a Bottle (GIAB) cell lines and their associated quality features were used to train five different machine learning models to predict whether a variant was a true positive or false positive based on quality metrics. …”
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Automatic Recognition of Authors Identity in Persian based on Systemic Functional Grammar by Fatemeh Soltanzadeh, Azadeh Mirzaei, Mohammad Bahrani, Shahram Modarres Khiabani

“…Overall, while the function words-based method proved to be highly effective on its own, integrating it with SFG-based methods provided a more comprehensive approach, enhancing the accuracy of author identification.…”
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A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education by Mirella Veras, Joseph-Omer Dyer, Holly Shannon, Bryce J M Bogie, Morgan Ronney, Harmehr Sekhon, Derek Rutherford, Paulo Goberlânio Barros Silva, Dahlia Kairy

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The Need and Possibility of Bilingual Teaching of Computer Science in Universities of the Republic of Tuva by Dolana O. Kuular

“…In educational institutions of the national regions of the country, bilingual education can acquire an important meaning in ensuring the quality of the educational process. Bilingual subject learning and mastering of subject knowledge by students in a certain area based on the interconnected use of two languages (native and state) is of not only educational interest. …”
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AI-Based Diagnostic Systems for Special Endurance Monitoring in Football Players by Shermuxamedov Aziz, Shermuxamedova Nargiza, Akbarova Gulbaxor

“…Our results illustrate that from a physiological monitoring perspective, individualized feedback in training load adjustment is a key positive element of performance planning. The study furthers understanding of the implications from sensor-based metrics and AI analytics on training personalization. …”
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Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy by Yasuhiko Igarashi, Naoka Nagamura, Masahiro Sekine, Hirokazu Fukidome, Hideitsu Hino, Masato Okada

“…By reconstructing high-resolution images from multiple low-resolution ones, exposure time is minimized, reducing radiation effects, thermal drift, and sample degradation while preserving spatial resolution. Unlike deep learning-based superresolution methods, which overlook positional misalignment, our approach treats positional shifts as known control parameters, enhancing superresolution accuracy with a small, noisy dataset. …”
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A data-driven evaluation of the grant program for excellence in learning and teaching (PELT): AI-leveraged insights from faculty, students, and academic metrics by Ahmad Abdul-Wahhab Shahba, Ahmad Abdul-Wahhab Shahba, Saud Alkathiri, Saud Alkathiri, Elham Alsadoon, Elham Alsadoon, Walid Soufan, Walid Soufan

“…Textual feedback from faculty and students was subjected to AI-assisted thematic and sentiment analysis to uncover key themes and insights.ResultsThe PELT program showed a positive impact on faculty’s pedagogical skills, teaching methods, and perceptions of student learning. …”
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Factors associated with James Cook University medical students experiencing ‘high quality’ clinical learning on final-year rural placement by Brooke Mackie, Torres Woolley, Aaron Hollins, Leanne Hall

“…Conclusion: The study findings suggest the key to JCU medical students having 'high quality' clinical learning on rural placements is by developing supportive learning relationships with senior, permanently based rural doctors who are willing to teach and know their scope of practice and specific placement learning requirements; and experiencing a diverse roster across hospital, GP and outreach clinics but with significant placement time in the ED. …”
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