Impact of school closure during COVID-19 pandemic on school-going children in a rural population of Haryana: A qualitative study by Suprakash Mandal, Mohamed S. Hasan, Parul Berry, Sangeet, Saransh Verma, Suryansh, Vishwesh Bharadiya, Tejbeer Singh, MBBS Student Research Study Group, Rakesh Kumar, Kapil Yadav, Puneet Misra, Harshal Ramesh Salve

“…Methods This was a community-based qualitative study conducted in Faridabad District, Haryana, India, from January 2022 to February 2022. …”
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What kind of matching groups makes students benefit more? The role of reviewer expertise and document quality within-groups by Zheng Zong, Christian D. Schunn

“…In addition, educators and researchers should consider the roles of both providing and receiving feedback based on the ability of matching groups. Future research could use questionnaires or experimental methods to examine student motivation and further determine the causal relationship between the relative benefits/risks of different matching groups on learning outcomes.…”
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Enhancing Preschool Spatial Skills: A Comprehensive Intervention Using Digital Games and Hands-On Activities by Ashley E. Lewis Presser, Emily Braham, Regan Vidiksis

“…Evidence continues to accumulate that gaining spatial skills helps overall mathematics achievement and that learning resources are needed in this field. This mixed-methods study is the third in a series of investigations that leverage a design-based implementation research approach to develop preschool resources to support spatial orientation with both hands-on and technology-based experiences. …”
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Intervention strategies to prevent mental health problems and improve resilience in employed parents from conception until the child is 5 years of age: a scoping review by Neeltje Crombag, Bieke Bollen, Eline Vancoppenolle, Thomas Vandendriessche, Dagmar Versmissen, Martha Paisi, Jill Shawe, Susan Garthus-Niegel, Annick Bogaerts

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The Impact of Organizational and Managerial Factors on Integrated Resilience Engineering Indicators: A Case Study in a Petrochemical Complex Aimed at Enhancing Employee’s Health by Zahra KhosraviShapourAbadi, Zahra Naghavi-Konjin, Siavash Etemadinezhad, Jamshid Yazdani-Charati

“…Moreover, a statistically significant and positive correlation was observed between organizational factors and the learning culture indicator (β=0.499, R²=0.277). …”
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Is It About Speech or About Prediction? Testing Between Two Accounts of the Rhythm–Reading Link by Susana Silva, Ana Rita Batista, Nathércia Lima Torres, José Sousa, Aikaterini Liapi, Styliani Bairami, Vasiliki Folia

“…Methods: We compared beat versus duration perception for their associations with encoding and sequence learning (prediction-related) tasks, using both visual and auditory sequences. …”
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Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan. by Chuan-Sheng Hung, Chun-Hung Richard Lin, Jain-Shing Liu, Shi-Huang Chen, Tsung-Chi Hung, Chih-Min Tsai

“…However, KD is frequently misdiagnosed as a common fever in clinical settings, and the inherent data imbalance further complicates accurate prediction when using traditional machine learning and statistical methods. This paper introduces two advanced approaches to address these challenges, enhancing prediction accuracy and generalizability. …”
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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach by Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

“…Effective glioma, meningioma, and pituitary tumor diagnosis and treatment requires the precise differentiation of these tumors as well as non-tumors for improved clinical outcomes. <b>Methods:</b> Here, we present a new method to classify brain tumors based on the MobileNetV2 architecture with advanced preprocessing for high accuracy. …”
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Prevention and control practices of hand, foot, and mouth disease and related factors among teachers and child caregivers in childcare centres in Phitsanulok Province: a cross-sect... by Kulchayada Charoensiwarak, Nithra Kitreerawutiwong

“…Conclusions These findings emphasize the need for training programs designed using experiential-based learning (EBL) to increase positive attitudes and practices. …”
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Self-determination in secondary school students and their relationship with emotional intelligence and support for autonomy by Manuel Gómez-López, Daniel Mendoza-Castejón, Daniel Frías-López, David Manzano-Sánchez

“…This study focuses on physical education (PE) classes as a key space to positively influence students' motivation and emotional development, based on the Self-Determination Theory (SDT). …”
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Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

“…Electroencephalography is a widely used non-invasive method for monitoring brain electrical activity, critical for diagnosing and managing neurological disorders such as epilepsy. …”
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The relationship between depression and academic burnout among undergraduate students majoring in eldercare services: a moderated mediation model by Yingjie Lin, Siyu Pan, Jianyao He, Qi Cheng, Hongmin Wei, Li Zhao

“…The study employed questionnaires based on the Center for Epidemiological Studies Depression Scale, General Self-Efficacy Scale, Learning Burnout Scale, and Perceived Social Support Scale. …”
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Costs of colorectal cancer screening in Sweden: an observational, longitudinal cost description by Johannes Blom, Naimi Johansson, Camilla Nystrand

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SafePsych: improving patient safety by delivering high-impact simulation training on rare and complex scenarios in psychiatry by Bronwyn Reid-McDermott, Dara Byrne, Eimear McMahon, Anne M Doherty, Kezanne Tong

“…Introduction Despite an evidence base demonstrating simulation to be an effective medical education tool, it is not commonly used in postgraduate psychiatry training as it is in other medical specialties.Objective This paper outlines the development and effectiveness of a hybrid-virtual simulation-based workshop designed to improve patient care by improving clinical skills of non-consultant hospital doctors (NCHDs) in detecting and managing rare and complex psychiatric emergencies.Methods Three clinical vignettes based on near-miss psychiatric cases were developed by a multidisciplinary team of physicians and nurses in psychiatry and experts in simulation-based medical education. …”
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Interprofessional Education in Health and Dental Hygiene Fields in Korea: A Scoping Review by Eun-Mi Choi, Su-Kyung Park

“…Results: Most IPE programs adopted short- to mid-term interventions (1 day to 15 weeks) using team-based learning, simulations, and scenario-based education. …”

TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

“…Additionally, we validate the effectiveness of our adaptive filtering framework in both anchor-based and anchor-free methods. When implemented with YOLOv5 (anchor based), the framework reduces the candidate generation time by 48.36%, while the YOLOv8 (anchor-free) implementation achieves a 46.81% reduction, both with maintained detection accuracy.…”
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Prediction of Chlorophyll-a Concentration Distribution Using Generative Adversarial Network (GAN) Algorithm on Processed Remote Sensing Images by Wattaqwa Amira Zul’Ilmi, Jaya Indra, Iqbal Muhammad

“…The “Ocean Color” remote sensing technique for estimating chlorophyll-a concentration as a parameter of the water quality has several weaknesses, such as cloud obstruction, water depth, and wave reflections that obscure the image. Therefore, deep learning methods with Generative Adversarial Network (GAN), especially Pix2PixHD can be an alternative for predicting chlorophyll-a distribution. …”
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Prediction of Lubrication Performance of Hyaluronic Acid Aqueous Solutions Using a Bayesian-Optimized BP Network by Xia Li, Feng Guo

“…This framework can be used as a screening tool for HA-based lubricants. The integration of machine learning with biotribology may offer opportunities to improve data-driven approaches to analyzing complex fluid behavior, where traditional models have limitations.…”
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More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data by Yunus Emre Akdogan, Adem Anbar

“…Sentiment classification using a BERT model achieved 91% accuracy for positive and negative classes. Relationships between Twitter-obtained features and BIST indices were analyzed using machine learning methods such as linear regression, Lasso regression, random forest, and XGBoost. …”
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Effectiveness of virtual reality application technology for mathematical creativity by Flavia Aurelia Hidajat

“…Ninety-six students followed learning-based VR in mathematics education in Jakarta, Indonesia. …”
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