Crisis Text Line and Loris.ai Controversy Highlights the Complexity of Informed Consent on the Internet and Data-Sharing Ethics for Machine Learning and Research by Gunther Eysenbach

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Development of problem-based learning worksheets combined with the make a match cooperative model to enhance students' critical thinking skills in biology by Sari Putri Ramadani Tambunan, Khairuna Khairuna

“…This study aims to (1) produce Problem Based Learning-based Learning Worksheets combined with Make A Match which is feasible to use based on expert judgment assessment (2) to determine the effectiveness of Problem Based Learning-based Learning Worksheets combined with Make A Match and (3) to determine the practicality of Problem Based Learning-based Learning Worksheets in training students' critical thinking skills in the biology subject X-MIA virus material at MA Laboratorium Uinsu. …”
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Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images by Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang

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Pengembangan LKS Berbasis Inkuiri Terbimbing Berbantuan E-Learning Untuk Meningkatkan Pemahaman Konsep Pada Siswa kelas X SMA by Wimpi Calesta, Patricia H M Lubis, Sugiarti Sugiarti

“…Kata kunci : Pengembangan dan penelitian, LKS, inkuiri terbimbing, e-learning, pemahaman konsep   ABSTRACT   This research was aimed to produce worksheets that was valid, practical and have potential effects based on the guided inquiry learning model and assisted e-learning, namely the blogspot application. …”
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Discrete Train Speed Profile Optimization for Urban Rail Transit: A Data-Driven Model and Integrated Algorithms Based on Machine Learning by Kang Huang, Jianjun Wu, Xin Yang, Ziyou Gao, Feng Liu, Yuting Zhu

“…To fill this gap, according to the actual speed and energy data collected from the real-world urban rail system, this paper proposes a data-driven model and integrated heuristic algorithm based on machine learning to determine the optimal speed profile with minimum energy consumption. …”
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Learning through “Research Cognitive Theory”: A new framework for developing 21st century research skills in secondary school students by Noora J. Al-Thani, Zubair Ahmad

“…The RCT in the HSRCLP is grounded within Social Learning Theory (SLT) & Social Cognitive Theory (SCT), incorporating the principles of challenge-based learning (CBL) and blended problem & project-based learning (PBL + PjBL) pedagogical approaches. …”
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Deciphering the Immune Subtypes and Signature Genes: A Novel Approach Towards Diagnosing and Prognosticating Severe Asthma Through Interpretable Machine Learning by Yue Hu, Yating Lin, Bo Peng, Chunyan Xiang, Wei Tang

“…We employ single-sample gene set enrichment analysis (ssGSEA) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms to identify differentially expressed immune cells and utilize machine learning techniques, including Extreme Gradient Boosting (XGBoost) and random forest, to predict severe asthma outcomes and identify key genes associated with immune cells. …”
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Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

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Bringing Psychosocial Support to Headache Sufferers Using Information and Communication Technology: Lessons Learned from Asking Potential Users What they Want by Anna Huguet, Jennifer Stinson, Bonnie MacKay, Carolyn Watters, Michelle Tougas, Meghan White, Patrick J McGrath

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Corrections to “A Semi-Supervised Learning Approach to Quality-Based Web Service Classification” by Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari

“…Presents corrections to the paper, (Corrections to “A Semi-Supervised Learning Approach to Quality-Based Web Service Classification”).…”
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Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach by İlker Özgür Koska, Çağan Koska

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An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept studyResearch in context by Marirena Bafaloukou, Ann-Kathrin Schalkamp, Nan Fletcher-Lloyd, Alex Capstick, Chloe Walsh, Cynthia Sandor, Samaneh Kouchaki, Ramin Nilforooshan, Payam Barnaghi

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A bibliometric and content analysis of strategy-based instruction and self-regulated learning in second or foreign language teaching from 1994 to 2024 by Ruihua Chen, Xiao Wang, Kezhen Zhu

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Assessment of Learning Styles of First-year Medical Students’ using VARK 8.02 Model Questionnaire: A Cross-sectional Study by Senthil Ganesh P Kannappan, Ravichandran Doraisamy, Vijayakumar Jagadesan

“…Introduction: Students are constantly in search of additional and innovative ways to stimulate their attention in learning various subjects. Assessing medical students’ learning styles can help both teachers and students make informed decisions about teaching strategies. …”
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Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

“…This study suggested a machine learning method for predicting the CS of UHPC including support vector regression (SVR). …”
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Presenting a model for the diagnosis of heart failure using cumulative and deep learning algorithms: a case study of tehran heart center by Amir Hossein Hariri, Esmaeil Bagheri, Sayyed Mohammad Reza Davoodi

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Analyzing the impact of entrepreneurial, market, and learning orientations on business performance in batik enterprises: a path analysis study in East Java, Indonesia by Djoko Poernomo, Hari Karyadi, Yuslinda Dwi Handini, Dwi Windradini, Khamdan Rifa’i, Nurul Widyawati Islami Rahayu, Mohammad Sawir

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Effects of Adaptive, Organizational Learning and Absorbability and Their Impact on Marketing Capabilities and Business Performance: Unlocking the Potential of Indonesian Non-high-tech SMEs by Mukhammad Kholid Mawardi, Supriono

Subjects: “…indonesian smes; marketing capability; adaptive capability; organizational learning capability and absorptive capacity; and business performance…”
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Impact of communication anxiety on L2 WTC of middle school students: Mediating effects of growth language mindset and language learning motivation. by Juan Wang, Tongquan Zhou, Cunying Fan

“…The findings revealed that L2 WTC was negatively impacted by communication anxiety and growth language mindset, while positively influenced by language learning motivation. Additionally, communication anxiety had a negative effect on both growth language mindset and language learning motivation, whereas growth language mindset exerted a positive effect on language learning motivation. …”
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Finding a safe space for learning and exploration: A qualitative study of recently diagnosed men's experiences of peer support for HIV in Sweden. by Arielle N'Diaye, Tobias Herder, Anette Agardh

“…Latent and manifest qualitative content analysis produced the overarching theme of Finding a safe space for learning and exploration. Participants used peer support to access key information and skills and as a space to safely explore life with HIV. …”
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