IMPLEMENTASI MEDIA CARD SORTING UNTUK MEMBENTUK SIKAP KERJASAMA SISWA DALAM PEMBELAJARAN IPA DI MI by aulia_ainur_rofiq, Nur Khosiah

“…The findings indicate that the use of card sorting media in science learning at MI Nurul Islam positively impacts students, particularly by enhancing their collaboration and active involvement. …”
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FireCLIP: Enhancing Forest Fire Detection with Multimodal Prompt Tuning and Vision-Language Understanding by Shanjunxia Wu, Yuming Qiao, Sen He, Jiahao Zhou, Zhi Wang, Xin Li, Fei Wang

“…To address these challenges, we explore the use of visual language models to differentiate between true alarms and false alarms. Additionally, our method incorporates a prompt tuning strategy which helps to improve performance by at least 12.45% in zero-shot learning tasks and also enhances performance in few-shot learning tasks, demonstrating enhanced regional generalization compared to baselines.…”
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Does continuing learning help middle-aged and elderly people find employment in China? A propensity score matching analysis. by Yuan Tao, Kexin Ren

“…This result was verified through multiple matching methods.<h4>Conclusion</h4>The findings underscore the importance of continuing learning in facilitating the employment prospects of middle-aged and elderly individuals.…”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…NLP methods enhance the performance of learning-based models by combining the syntactic and semantic features of the text. …”
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Development of an online psychological intervention to prevent depression in patients with atrial fibrillation: lessons learned in a user-centered design study by Charlotte Helmark, Robert Ahm, Axel Brandes, Søren J. Skovbakke, Jens Cosedis Nielsen, Lisbeth Frostholm, Rod S. Taylor, Susanne S. Pedersen

“…Primary lessons learned were (1) engaging patients from the start to ensure the intervention becomes meaningful; (2) using positive phrasing in all patient-related materials to promote motivation; (3) incorporating patients’ choice of preference where possible to personalize the intervention. …”
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Reduced Order Probabilistic Emulation for Physics‐Based Thermosphere Models by Richard J. Licata, Piyush M. Mehta

“…In response, this work aims to employ a probabilistic machine learning (ML) method to create an efficient surrogate for the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE‐GCM), a physics‐based thermosphere model. …”
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A Cross-sectional Study on Stature Estimation from Arm Lengths among North Indian Population using Machine Learning by Arunima Dutta, Gyamar Anya

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How digital therapeutic alliances influence the perceived helpfulness of online mental health Q&A: An explainable machine learning approach by Yinghui Huang, Hui Liu, Maomao Chi, Sujie Meng, Weijun Wang

“…Results The machine learning-based model for predicting perceived helpfulness demonstrated strong performance, achieving an root mean square error of 0.8234 and a mean absolute percentage error of 22.7288%. …”
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Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model by Bihua Yao, Xingyu Yu, Liannv Qiu, Er-min Gu, Siyu Mao, Lei Jiang, Jijun Tong, Jianguo Wu

“…This study seeks to design and validate an interpretable machine learning model based on routine laboratory data to enable noninvasive and rapid TPE diagnosis. …”
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Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms by Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang

“…Context Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).Objective This study explored the most suitable classification algorithm for PMN identification, and to provide data reference for PMN diagnosis research.Methods A total of 500 patients were referred to Luo-he Central Hospital from 2019 to 2021. …”
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Transfer learning drives automatic HER2 scoring on HE-stained WSIs for breast cancer: a multi-cohort study by Xiaoping Li, Zhiquan Lin, Chaoran Qiu, Yiwen Zhang, Chuqian Lei, Shaofei Shen, Weibin Zhang, Chan Lai, Weiwen Li, Hui Huang, Tian Qiu

“…Each WSI underwent adaptive scale cropping. The transfer-learning-based probabilistic aggregation (TL-PA) model and multi-instance learning (MIL)-based models were compared, both of which were trained on Cohort A and validated on Cohorts B–D. …”
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MS2Lipid: A Lipid Subclass Prediction Program Using Machine Learning and Curated Tandem Mass Spectral Data by Nami Sakamoto, Takaki Oka, Yuki Matsuzawa, Kozo Nishida, Jayashankar Jayaprakash, Aya Hori, Makoto Arita, Hiroshi Tsugawa

“…However, annotation confidence still relies on manual curation by analytical chemists, despite the development of various software tools for automatic spectral processing based on rule-based fragment annotations. <b>Methods</b>: In this study, we present a novel machine learning model, MS2Lipid, for the prediction of known lipid subclasses from MS/MS queries, providing an orthogonal approach to existing lipidomics software programs in determining the lipid subclass of ion features. …”
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Does self-paced learning in mobile flood protection unit construction in virtual reality have advantages over traditional measures? by Patrick Querl, Raymond Leonardo Chandra, Djamel Berkaoui, Koen Castermans, Heribert Nacken

“…It aims to investigate the potential of an immersive virtual lab employing self-paced learning for teaching complex tasks. The focus is on the construction of a Mobile Flood Protection Unit (MFPU), traditionally taught through written instructions or video tutorials.MethodsAn experiment was conducted involving 48 students who were divided into two groups. …”
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Presenting the conceptual model of organizational democracy with an emphasis on the development of employees' psychological capital by Sattar jahantabi neghad, Foad Makvandi, ezat allah Kiani, ghanbar Amirnegad, Vahid Chenari

“…Belasi et al, (2023) conducted a study titled Comparing Organizational Democracy in Norway and Mondragon: Lessons Learned for Other Countries. Based on the results obtained, it was found that organizational democracy in Norway and Mondragon differ from each other in terms of ownership and profit sharing, participation and employee ownership. …”
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Machine learning-assisted source identification and probabilistic ecological-health risk assessment of heavy metal(loid)s in urban park soils by Jun Li, Xu Li, Xi-Sheng Tai, Xin-Ying Tuo, Fa-Yuan Zhou, Yi-Jing Rong, Fei Zang

“…This study combines multivariate statistical methods, machine learning techniques, and positive matrix factorization (PMF) with Monte Carlo simulation to investigate HM sources, probabilistic pollution levels, source-based ecological risks, and population-specific health hazards in seven urban parks in a nickel-based mining city in China. …”
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AI-Driven Comprehensive SERS-LFIA System: Improving Virus Automated Diagnostics Through SERS Image Recognition and Deep Learning by Shuai Zhao, Meimei Xu, Chenglong Lin, Weida Zhang, Dan Li, Yusi Peng, Masaki Tanemura, Yong Yang

“…On this basis, a negative–positive discrimination method combining SERS scanning imaging with a deep learning model (ResNet-18) was developed to analyze probe distribution patterns near the T line. …”
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Enhancing nursing education through e-portfolios: evaluating the impact on learning effectiveness, self-efficacy, and job satisfaction of NPGY trainees by Fang-Chun Wei, Li-Ju Kao, Chia-Ting Chang, Jui-Yuan Chung

“…Abstract Background Traditionally, learning was documented using paper-based systems, leading to challenges in tracking and evaluating progress. …”
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Learning factors influencing second language proficiency: a cross-cultural comparative study of English and Chinese L2 learners by Xuancheng Wu, Xin Wen, Juan Lu, Weizhi Liu

“…However, group-based learning styles positively influenced CSL proficiency. …”
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Building a triadic model of technology, motivation, and engagement: a mixed-methods study of AI teaching assistants in design theory education by Anlan Wang, Xingting Wu

“…This study contributes to education and AI research by showing that chatbots must support both psychological needs and task alignment to foster meaningful engagement. It positions AI not just as an information tool, but as a partner in reflective and autonomous learning.…”
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A Novel Spatio&#x2013;Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data by Mussadiq Abdul Rahim, Sultan Daud Khan, Salabat Khan, Muhammad Rashid, Rafi Ullah, Hanan Tariq, Stanislaw Czapp

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