Analysis Use Motivation Study Student in Islamic Religious Education Learning Using the PAKEM Method in Senior High Schools by Abu Warasy Batula, Achmad Faqihuddin, Haris Munandar, Zakaria

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Quantitative Analysis of the Acceptance and Learning Success Instead of Flipped Classroom Teaching in a Caries Diagnosis Course for Undergraduate Students by Mozhgan Bizhang, Stefan Zimmer, Jan P. Ehlers

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ANALISIS SENTIMEN DATA TWITTER TERKAIT CHATGPT MENGGUNAKAN ORANGE DATA MINING by Tri Yuli Pahtoni, Handaru Jati

“…Tanggapan positif, negatif dan netral diolah menggunakan perangkat lunak orange data mining, yaitu tools machine learning, data mining, dan visualisasi data. …”
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Digital Literacy, Motivation, Self-Regulation, Interest, and Task Difficulty as Predictors of Performance in Online Learning: A Path Analysis by Betty Essuman, Harry Barton Essel, Rudolf Steiner, Aaron Daniel Akuteye, Albert Benjamin Essuman

“…The study investigated how digital literacy, motivation, self-regulation, course interest, and task difficulty predict academic performance in an online learning context. Data were collected via a structured questionnaire from 148 students in Ghana. …”
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Comparative analysis of machine learning models for predicting river water quality: a case study of the Zayandeh Rood River by Elham Fazel Najafabadi, Paria Shojaei, Mojgan Askarizadeh

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Machine-learning meta-analysis reveals ethylene as a central component of the molecular core in abiotic stress responses in Arabidopsis by Raul Sanchez-Munoz, Thomas Depaepe, Marketa Samalova, Jan Hejatko, Isiah Zaplana, Dominique Van Der Straeten

“…To provide a comprehensive picture of stress-mitigation mechanisms, an exhaustive analysis of publicly available stress-related transcriptomic data has been conducted. …”
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Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning by Suranjana V. Mayani, Hessan Mohammad, Soumya V. Menon, Rishabh Thakur, Abdulqader Faris Abdulqader, S. Supriya, Prabhat Kumar Sahu, Kamal Kant Joshi

“…Mass transfer was evaluated using CFD and machine learning performed numerical simulations. A membrane contactor was employed for the separation and mass transfer analysis for the removal of organic molecules from water. …”
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Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance by Madiha Jabeen Abbasi, Rashid Abbasi, ShuPeng Wu, Md Belal Bin Heyat, Ding Xianfeng, Huijie Jia, Aiwen Zheng

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Using Machine Learning for Arabic Sentiment Analysis in Higher Education: Investigating the Impact of Utilizing the ChatGPT and Bard Google by Salah AL-Hagree, Ghaleb Al-Gaphari, Fuaad Hasan Abdulrazzak, Maher Al-Sanabani, Ahmed Al-Shalabi

“…This paper presents a machine learning (ML) based approach to sentiment analysis on students’ evaluation of higher education institutions. …”
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Mobile Application and Machine Learning-Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors by Huaiyan Jiang, Han Wang, Ting Pan, Yuhang Liu, Peiguang Jing, Yu Liu

“…This study introduces an innovative approach to diabetes management by integrating a mobile application and machine learning. We designed and implemented an intelligent application capable of collecting comprehensive data from diabetic patients, creating a novel diabetes dataset named DiabMini with 127 features of 88 instances, including medical information, personal information, and detailed nutrient intake and lifestyle. …”
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Analysis of Game-Based Learning Models in the Motor Development Students 12th Grade Vocational High School in Surakarta by Rifa'i Abdul Karim, Basori Basori, Kurniasari Kurniasari

“…The research method applied is qualitative, with qualitatively descriptive techniques involving the investigation of the motor development of the learners in the application of Game-Based Learning. Data collection on this research uses observation and interview.  …”
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Identification of a deubiquitinating gene-related signature in ovarian cancer using integrated transcriptomic analysis and machine learning framework by Suwan Hu, Mengting Wang

“…Methods We conducted an integrated analysis of single-cell RNA sequencing and bulk transcriptome data from public databases. …”
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Smart Insole-Based Plantar Pressure Analysis for Healthy and Diabetic Feet Classification: Statistical vs. Machine Learning Approaches by Dipak Kumar Agrawal, Watcharin Jongpinit, Soodkhet Pojprapai, Wipawee Usaha, Pattra Wattanapan, Pornthep Tangkanjanavelukul, Timporn Vitoonpong

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The effectiveness of guided inquiry learning based on Anderson’s sketch analysis on students’ higher order thinking skills in reaction rate by Herunata Herunata, Ibnatullatiefah Ibnatullatiefah, Habiddin Habiddin, Hayuni Retno Widarti, Munzil Munzil, Putri Nanda Fauziah

“…This study investigates the effectiveness of guided inquiry learning based on Anderson’s learning sketch analysis in enhancing HOTs. …”
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Predicting tensile and fracture parameters in polypropylene-based nanocomposites using machine learning with sensitivity analysis and feature impact evaluation by Pouya Rajaee, Faramarz Ashenai Ghasemi, Amir Hossein Rabiee, Mohammad Fasihi, Behnam Kakeh, Alireza Sadeghi

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Analysis on the Ductility of One-Part Geopolymer-Stabilized Soil with PET Fibers: A Deep Learning Neural Network Approach by Guo Hu, Junyi Zhang, Ying Tang, Jun Wu

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Brand visibility in packaging: a deep learning approach for logo detection, saliency-map prediction, and logo placement analysis by Alireza Hosseini, Kiana Hooshanfar, Pouria Omrani, Reza Toosi, Ramin Toosi, Zahra Ebrahimian, Mohammad Ali Akhaee

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Revealing Potential Diagnostic Gene Biomarkers Associated with Immune Infiltration in Patients with Renal Fibrosis Based on Machine Learning Analysis by Yu-Chao Sun, Zhen-Zhen Qiu, Fu-Li Wen, Jin-Quan Yin, Hao Zhou

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Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis by Zheng Bi, Jinju Li, Qiongyi Liu, Zhaohui Fang, Zhaohui Fang

“…The meta-analysis revealed a pooled sensitivity of 1.88 (95% CI: 1.45-2.44) and a pooled specificity of 1.33 (95% CI: 0.97-1.84) for the detection of DR using deep learning models. …”
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Integrated bioinformatics analysis and machine learning approach for the identification of immune-related genes in the diagnosis of aortic valve calcification with periodontitis by Duolikun Mutailifu, Abudousaimi Aini, Abudunaibi Maimaitiaili

“…Our investigation sought to uncover immune-specific molecular indicators for AVC in patients with periodontitis using bioinformatics and machine learning. Methods: Gene expression data for AVC (utilizing datasets GSE153555, GSE148219, GSE51472) and periodontitis (from dataset GSE16134) underwent analysis. …”
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