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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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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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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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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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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The Effects of Active Teaching and Learning Methods on The Pupils' Academic Performance in Four Selected Primary Schools in Bugamba Sub-County in Rwampara District. by Ampurire, Motion

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Pengaruh PjBL Terintegrasi Kearifan Lokal Tri Hita Karana untuk Meningkatkan Keterampilan Berkolaborasi Siswa Sekolah Dasar by I W. Heru Sanjaya, I Wayan Lasmawan, I Wayan Kertih

Subjects: “…project-based learning…”
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Strengthening teamwork and respect (STAR) in maternity units: developing a health system intervention in South Africa by Tanya Doherty, Ruwayda Petrus, Sandra Land, Christiane Horwood, Veronique Filippi, Lyn Haskins, Cleo Phewa, Sphindile Mapumulo, Silondile Luthuli, Vaughn M. John

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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

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A conceptual framework for the instructional design of a Moodle-based e-learning course for mainstreaming informal master’s education outcomes into ESP teaching in a formal non-linguistic setting by Larisa M. Galchuk

Subjects: “…informal learning…”
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Exploring the application of knowledge transfer to sports video data by Shahrokh Heidari, Gibran Zazueta, Riki Mitchell, David Arturo Soriano Valdez, Mitchell Rogers, Mitchell Rogers, Jiaxuan Wang, Ruigeng Wang, Marcel Noronha, Alfonso Gastelum Strozzi, Mengjie Zhang, Patrice Jean Delmas, Patrice Jean Delmas

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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

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School-Based 4-H Programming Series: Positive Youth Development (PYD) and Social Emotional Learning (SEL)—How They Complement Each Other by Vanessa Spero

“… Positive Youth Development (PYD) promotes building life skills, leadership, and relationships, and Social Emotional Learning (SEL) promotes knowledge, responsibility, and caring. …”
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Investigating the Impact of the Direct Observation of Procedural Skills Assessment on the Learning and Satisfaction of the Operating Room Students of Neyshabur University of Medical Sciences, Iran, in 2022 by Hassan Ebrahimpour-Sadagheyani, Seyede M. Saadati, Farin Tatari

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A Step-by-Step Guide for Automated Plant Canopy Delineation Using Deep Learning: An Example in Strawberry Using ArcGIS Pro Software by Amr Abd-Elrahman, Katie Britt, Vance Whitaker

“…Anyone with basic geographic information system analysis skills may follow along with the demonstration and learn to implement the Mask Region Convolutional Neural Networks model, a widely used model for object detection, to delineate strawberry canopies using ArcGIS Pro Image Analyst Extension in a simple workflow. …”
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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

Subjects: “…Machine learning…”
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Analisis Interaksi Aktivitas Pembelajaran Daring Berdasarkan Data Log Aktivitas pada Learning Managemefnt System (LMS) Menggunakan Educational Process Mining by Novriani Dewi Anwar, Nanang Yudi Setiawan, Welly Purnomo

Subjects: “…Learning Management System…”
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Correction: 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 PLOS One Staff

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Nanobody screening and machine learning guided identification of cross-variant anti-SARS-CoV-2 neutralizing heavy-chain only antibodies. by Peter R McIlroy, Le Thanh Mai Pham, Thomas Sheffield, Maxwell A Stefan, Christine E Thatcher, James Jaryenneh, Jennifer L Schwedler, Anupama Sinha, Christopher A Sumner, Iris K A Jones, Stephen Won, Ryan C Bruneau, Dina R Weilhammer, Zhuoming Liu, Sean Whelan, Oscar A Negrete, Kenneth L Sale, Brooke Harmon

“…In this study, we used a combination of high throughput screening and machine learning (ML) models to identify HCAbs with potent efficacy against SARS-CoV-2 viral variants of interest (VOIs) and concern (VOCs). …”
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A deep-learning approach to parameter fitting for a lithium metal battery cycling model, validated with experimental cell cycling time series by Maria Grazia Quarta, Ivonne Sgura, Elisa Emanuele, Jacopo Strada, Raquel Barreira, Benedetto Bozzini

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