Traditional games as a tool for improving psychosocial development: a comparative study of structured and progressive learning models by Rekha Ratri Julianti, Adang Suherman, Amung Ma'mun, Dian Budiana, Eka Fitri Novita Sari

“…Research Objectives: The aim is to determine the difference in the influence of a deliberately structured psychosocial learning model and a deliberately structured progressive learning model through traditional games on psychosocial development. …”
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Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression by Joseph M. Josephides, Chun-Long Chen

“…Here, we develop MnM, an efficient machine learning-based tool that allows disentangling scRT profiles from heterogenous samples. …”
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Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation. by Iran Sarafraz, Hamed Agahi, Azar Mahmoodzadeh

“…., size, length, and width of the filter in each layer along with the type of pooling functions with a reinforcement learning approach and an LA model are determined. These LA models determine the optimal configuration for the CNN model by using DICE and ASD segmentation quality evaluation criteria, so that the segmentation quality can be maximized based on the goal criteria. …”
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Beyond high hopes: A scoping review of the 2019-2021 scientific discourse on machine learning in medical imaging. by Vasileios Nittas, Paola Daniore, Constantin Landers, Felix Gille, Julia Amann, Shannon Hubbs, Milo Alan Puhan, Effy Vayena, Alessandro Blasimme

“…Machine learning has become a key driver of the digital health revolution. …”
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Shuffle-PG: Lightweight feature extraction model for retrieving images of plant diseases and pests with deep metric learning by Dong Jin, Helin Yin, Yeong Hyeon Gu

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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

Subjects: “…distributed generation, learning vector quantitation, power, entropy, total harmonic distortion.…”
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Design of a Process Control Laboratory Curriculum Incorporating Simulation Modules and Hands-On Training for Enhanced Learning Experience by Serene Sow Mun Lock, Irene Sow Mei Lock, Lam Ghai Lim

“…Advanced Bloom's Taxonomy and the Five Es Inquiry-Based Learning model were key components, allowing students to design their own labs and explore foundational control principles. …”
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La formación del maestro 2.0: el aprendizaje por tareas en entornos b-learning by Manuel Area, José F. Borrás, Belén Sannicolás

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Maternal exposure to deltamethrin during pregnancy and lactation impairs hippocampal learning and memory function of male offspring by ferroptosis by Shasha Huang, Wanqi Li, Dengke Wang, Huiwen Feng, Bo Wang, Xinyu Dong, Wei Zhao, Dan Liu, Yuan Wang

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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia by Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Abdelmgeid A. Ali, Abdu Gumaei, Mabrook Al-Rakhami

“…This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. …”
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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

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New Science Curriculum Based on Inquiry Based Learning - A Model of Modern Educational System in Republic of Macedonia by Natalija Aceska

“…Students will easily learn that natural sciences are important and can help them in solving everyday life’s problems according to the principles of education for sustainable development. …”
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Visual Perceptions Skills and its Association with Written Mathematical Communication Skills among Learning Disabilities Students in Jordan by Saida Aladwan, Worud Awamleh, Mona Qutaifan Ershed Alfayez, Hassan Rafi’ Ali Shaheen, Muna Saleem Taha Abutaha

“…# Aim The present research sought at investigating the association between visual perception skills and written mathematical communication skills among a sample of students with learning disabilities in mathematics in Jordan. # Method This was a cross-sectional correlational study that included a sample of 90 primary-stage students who were diagnosed as having learning disabilities in mathematics. …”
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High-Accuracy Fault Location Detection in Double-Circuit Transmission Lines Utilizing Extreme Learning Machine Algorithm by Muhammad Hammad Saeed

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Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition by Tao Zhen, Jian-lei Kong, Lei Yan

“…However, current deep-learning methods that extract spatial and the isolated temporal features can easily ignore the correlation that may exist in the high-dimensional space, which limits the recognition effect of a single model. …”
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Possibilities of using immersive learning based on abstract highly formalized mathematical models for training future mathematics teachers by Valentina A. Matveeva, Olga Yu. Zaslavskaya

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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…Normally, the human eye can easily distinguish between the foreground and background of an image, but computers need learning to distinguish between the two. Image segmentation is one of the fields in computer vision that discusses how computers learn and recognize segments of an image according to specified labels. …”
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Retracted: Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing by Journal of Food Quality

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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

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Retracted: The Design of Critical Care Information System Supporting Clinical Decision Based on Deep Learning Recognition Method by International Transactions on Electrical Energy Systems

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