Machine learning insights into scapular stabilization for alleviating shoulder pain in college students by Omar M. Mabrouk, Doaa A. Abdel Hady, Tarek Abd El-Hafeez

“…The study’s results serve as a crucial stepping stone in developing personalized rehabilitation programs for non-specific shoulder pain, emphasizing the importance of integrating machine learning methodologies in the assessment and treatment of musculoskeletal disorders among college students.…”
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Deep learning and georeferenced RGB-D imaging for hydroponic strawberry yield mapping by Camilo Pardo-Beainy, Carlos Parra, Leonardo Solaque, Won Suk Lee

“…The approach integrates pre-processing and post-processing steps, as well as 2D–3D image acquisition, georeferencing, and processing technologies, offering thus a novel solution for accurate and efficient hydroponic strawberry yield mapping.…”
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Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy by Guanmeng Gao, Zihan Wei, Fei Pei, Yajie Du, Beiying Liu

“…It can be used with a traditional microscope, does not interfere the pathologist’s perspective during routine slide diagnosis, and does not add extra steps or observation time for pathologists.…”
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Multimodal mobile brain and body imaging for quantification of dance motor sequence learning by Russell W. Chan, Victoria Lakomski, Johannes V.R. Pannermayr, Emma Wiechmann, Jan-Willem J.R. van ‘t Klooster, Willem B. Verwey

“…Understanding motor learning in naturalistic settings presents a key challenge in neuroscience. …”
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Machine learning for Internet of Things (IoT) device identification: a comparative study by Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang

“…As such, IoT device identification has garnered substantial attention and is regarded as an initial layer of cybersecurity. One of the major steps in distinguishing IoT devices involves leveraging machine learning (ML) techniques on device network flows known as device fingerprinting. …”
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Integrating Artificial Intelligence as an Advanced Learning Tool into Ukrainian Inclusive Educational Environment by Liliia Potapiuk, Alina Sasiuk

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Learning about Inclusion Health in undergraduate medical education: a scoping review by Andrea E Williamson, Lindsey M Pope, Amy M Russell, Gemma Ashwell

“…A charting table was developed to record key information from the 74 papers included. Quantitative steps of the analysis included frequency counts of the extent, nature and distribution of the studies; this was followed by basic qualitative content analysis.Results Most educational interventions were optional, or student led, with no longitudinal integration across curricula. …”
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Neurofind: using deep learning to make individualised inferences in brain-based disorders by S. Vieira, L. Baecker, W. H. L. Pinaya, R. Garcia-Dias, C. Scarpazza, V. Calhoun, A. Mechelli

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DEVELOPING INTERACTIVE MULTIMEDIA LEARNING FOR PSYCHOMOTOR DOMAIN TO STUDENTS OF VOCATIONAL HIGH SCHOOL by Chandra Adhitama Nugraha, Sugeng Bayu Wahyono

“…This research and development referred to the nine steps of Borg and Gall’s development model. This learning strategies using ASSURE model. …”
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Using deep learning for thyroid nodule risk stratification from ultrasound images by Yasaman Sharifi, Morteza Danay Ashgzari, Susan Shafiei, Seyed Rasoul Zakavi, Saeid Eslami

“…Our proposed automated method has four main steps: preprocessing and image augmentation, nodule detection, nodule classification on the basis of ACR-TIRADS, and risk-level stratification and treatment management. …”
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Integration of Artificial intelligence into Ukrainian inclusive educational environment as an advanced learning tool by Лілія Потапюк, Аліна Сасюк

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Blockchain framework with IoT device using federated learning for sustainable healthcare systems by B. Bhasker, P. Muralidhara Rao, P. Saraswathi, S. Gopal Krishna Patro, Javed Khan Bhutto, Saiful Islam, Mohammed Kareemullah, Addisu Frinjo Emma

“…Consolidating medical information into a singular repository to train a robust ML model engenders apprehensions around privacy, ownership, and adherence to regulatory standards due to increased concentration. Federated learning (FL) addresses previous challenges using a centralized aggregate server to distribute global learning models. …”
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Enhancing Students’ Learning and Satisfaction in Biochemistry Courses: The Impact of Flipped Classroom and Teamwork by Mohammad Amin Momeni-Moghaddam, Morteza Rostamian

“…The Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model was used to design the flipped classroom in a proper way so that all steps were synergistic. The recorded clips, along with the PowerPoints, were sent to the students in the Navid Learning Management System. …”
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The Robust Vessel Segmentation and Centerline Extraction: One-Stage Deep Learning Approach by Rostislav Epifanov, Yana Fedotova, Savely Dyachuk, Alexandr Gostev, Andrei Karpenko, Rustam Mullyadzhanov

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Electrocardiogram Abnormality Detection Using Machine Learning on Summary Data and Biometric Features by Kennette James Basco, Alana Singh, Daniel Nasef, Christina Hartnett, Michael Ruane, Jason Tagliarino, Michael Nizich, Milan Toma

“…<b>Methods:</b> The dataset included demographic and electrocardiogram-related biometric data. Preprocessing steps addressed class imbalance, outliers, feature scaling, and the encoding of categorical variables. …”
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Analysis of Learning Obstacles for Junior High School Students in Understanding SPLDV Concepts by Firda Luthfiatika Jannah, Neneng Aminah, Surya Amami Pramuditya, Cita Dwi Rosita, M. Subali Noto

“…Tujuan penelitian ini untuk melakukan eksplorasi mengenai learning obstacle yang dialami oleh siswa SMP ketika mereka mencoba memahami konsep SPLDV. …”
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Analysis of the Inquiry-Infusion learning model to develop students' critical thinking ability by Beni Asyhar

“…With the modifications in these two steps, it is hoped that students can independently learn to practice not to easily believe the information presented before knowing the truth of the information and it is hoped that students get used to finding out the truth of information before making conclusions on the problems at hand so as to maximize students' critical thinking skills. …”
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Machine Learning Prediction of Airfoil Aerodynamic Performance Using Neural Network Ensembles by Diana-Andreea Sterpu, Daniel Măriuța, Grigore Cican, Ciprian-Marius Larco, Lucian-Teodor Grigorie

“…In this study, a hybrid deep learning model is proposed, combining convolutional neural networks (CNNs) and operating directly on raw airfoil geometry, with parallel branches of fully connected deep neural networks (DNNs) that process operational parameters and engineered features. …”
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Interpretable Machine Learning Models and Symbolic Regressions Reveal Transfer of Per- and Polyfluoroalkyl Substances (PFASs) in Plants: A New Small-Data Machine Learning Method to... by Yuan Zhang, Yanting Li, Yang Li, Lin Zhao, Yongkui Yang

“…Machine learning (ML) techniques are becoming increasingly valuable for modeling the transport of pollutants in plant systems. …”
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Deep Learning Based Channel Estimation for UAVs: A Modified U-Net Approach by GUPTA, C., YADAV, S. S.

“…The proposed CE algorithm is a two-step process. The first step uses an especially developed deep neural network built on the U-Net model for denoising the signal received, followed by least squares (LS) estimation in the next step. …”
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