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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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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Advanced Differential E-Module: Integrating Case-Based and Visual Exploration by Bertu Rianto Takaendengan, Agusyarif Rezka Nuha, Taulia Damayanti, Asriadi, Miftahul Janna, Fitriana Anggraini

“…Students responded positively to its use, especially because of its case-based and visual nature. …”
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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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Determinants of academic performance of healthcare professional students in a medical university, Ajman, United Arab Emirates by Shahnaz Mohamed Wazil, Sathyapriya Nandagopal, Afreen Abdul Rahim Sanaullah, Liju Susan Mathew, Nermine Nosseir, Jayadevan Sreedharan, Jayadevan Sreedharan, Anusha Sreejith, Anusha Sreejith, Latifa Nabeel Alsaad, Latifa Nabeel Alsaad, Jayakumary Muttappallymyalil, Jayakumary Muttappallymyalil

“…Key factors such as mental health status, home-based learning environments, and peer/family support were also significantly associated with higher academic performance.ConclusionMultiple factors, including learning styles, study techniques, learning environments, and personal and social influences—can positively or negatively affect the academic performance of healthcare professional students. …”
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection by Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Ester Zumpano, Eugenio Vocaturo, Eugenio Vocaturo

“…The techniques discussed in the literature are based on convolutional neural networks, Linformer models, or transformer models for deepfake detection, each with its advantages and disadvantages.MethodsIn this manuscript, a hybrid architecture combining transformer and Linformer models is proposed for deepfake detection. …”
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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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Robust Network Traffic Classification Based on Information Bottleneck Neural Network by Wei Lin, Yu Chen

“…Network Traffic Classification (NTC) plays a critical role in modern network security and management, used in various applications such as performance monitoring, anomaly detection, and bandwidth management. Traditional methods like port-based identification and deep packet inspection (DPI) face limitations due to evolving encryption techniques and dynamic port usage. …”
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A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…This supervision of the heatmap fitting process is based on the classification results. Simultaneously, a certain number of outer-point heatmaps are produced in the initial training rounds, and the model’s learning process is constrained through the positional information between outer points and keypoints. …”
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Fine-Tuning Quadcopter Control Parameters via Deep Actor-Critic Learning Framework: An Exploration of Nonlinear Stability Analysis and Intelligent Gain Tuning by Hassan Moin, Umer Hameed Shah, Muhammad Jawad Khan, Hasan Sajid

“…This study implements an optimal gain self-tuning framework for the altitude, attitude, and position controllers of a 6 degrees-of-freedom nonlinear drone system using a deep reinforcement learning algorithm with continuous observation and action spaces. …”
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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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Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications by Minh Long Hoang, Guido Matrella, Dalila Giannetto, Paolo Craparo, Paolo Ciampolini

“…This research presents a comparative analysis of sleep position recognition using two distinct approaches: image-based deep learning and accelerometer-based classification. …”
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Detection of surface defects on conveyor belts based on adversarial repair networks by YANG Zelin, YANG Liqing, HAO Bin

“…In response to the challenges of acquiring and labeling defect data on conveyor belts, as well as the low accuracy of deep learning-based conveyor belt defect detection methods due to unstable factors and data fluctuations in working environments, this study proposed a surface defect detection model based on adversarial repair networks. …”
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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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Schizoanalytic pedagogical framework: A rhizomatic approach to teaching languages by Daisy Gohain, David Paul

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Developing an effective teaching model in order to improve the educational level of schools by Mehdi Mohammadi, fardin Abdollahy, Rafigh Hasani

“…Based on the results of the interviews, 11 themes in the form of 4 concepts of personal and scientific characteristics of teachers (social status of teachers, individual character of teachers, and empowerment of teachers), optimal management of the classroom and educational environment (use of educational technology, classroom management and effective educational implementation, and appropriate educational tools and equipment), active and motivating teaching (use of active teaching methods and motivational levers), and targeted teaching (objectification of teaching (meaningful learning), targeted research) were identified. …”
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The effect of peer coaching on teachers’ digital storytelling based teaching practices by Mustafa Emrullah Akbaba, Esma Genç

“…The research aims to explore the influence of peer coaching on the lesson planning and implementation processes based on the digital storytelling method. The case-study research involved 12 week peer coaching initiative focused on lesson planning and implementation based on the digital storytelling method with two teachers. …”
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AHP-MOORA framework for longitudinal evaluation of Pharm.D program learning outcomes: a tool for Saudi pharmacy programs accreditation and curriculum enhancement by Sultan M. Alshahrani

“…IntroductionAs pharmacy education in Saudi Arabia progresses in accordance with Saudi Vision 2030 and international competency-based standards, the necessity for systematic evaluation of Program Learning Outcomes (PLOs) has become essential. …”
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Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

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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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