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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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

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IMPLEMENTASI MODUL IPA BERBASIS ETNOSAINS MASYARAKAT BENGKULU MATERI PENGUKURAN MELALUI DISCOVERY LEARNING UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS MAHASISWA by Indra Sakti, Aprina Defianti, Nirwana Nirwana

“…Keywords: Classroom Action Research, Module, Ethnoscience, Discovery Learning, Critical Thinking Skills.   …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…This study aimed to develop a convenience, efficient prediction model for AD risk using machine learning techniques.Design and setting We conducted a cross-sectional study with participants aged 60 and older from the National Alzheimer’s Coordinating Center. …”
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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…The main goals of this research are to identify the significant input parameters using supervised machine learning methods and investigate the relationship between the process, structure, and properties of components created using fused deposition modeling utilizing nylon aramid composite filaments. …”
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Analysis of graphene coatings on various metallic/oxide crystal/composite material substrates using machine learning for enhanced solar thermal energy conversion by Khaled Aliqab, Dhruvik Agravat, Shobhit K. Patel, Ammar Armghan, Naim Ben Ali, Meshari Alsharari

Subjects: “…Machine learning…”
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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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MINAT DAN HASIL BELAJAR FISIKA SISWA MELALU MODEL PEMBELAJARAN PROBLEM BASED LEARNING DENGAN PETA KONSEP PADA KONSEP SUHU by Niya Agustina, Connie Connie, Irwan Koto

“…Keywords: Problem Based Learning Learning Models, Concept Maps, Learning Interests, Learning Outcomes, Temperature Concept …”
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PENGEMBANGAN LKPD BERBASIS DISCOVERY LEARNING BERBANTUAN SOFTWARE TRACKER PADA MATERI GERAK MELINGKAR UNTUK MENINGKATKAN PEMAHAMAN KONSEP PESERTA DIDIK by Sindi Permata Sari, Patricia H M Lubis, Sugiarti Sugiarti

“…Keywords: LKPD, Discovery Learning, Software Tracker, Concept Understanding. …”
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VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations by Mingyuan Li, Duan Wang, Erick Purwanto, Thomas Selig, Qing Zhang, Hai-Ning Liang

“…With instructions structuring, novel response-based algorithm visualization, exercise design, VisualCodeMOOC provides a cohesive and supportive learning environment that promotes active learning. …”
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Optimization of Sample Size, Data Points, and Data Augmentation Stride in Vibration Signal Analysis for Deep Learning-Based Fault Diagnosis of Rotating Machines by Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen

“…In recent years, deep learning models have increasingly been employed for fault diagnosis in rotating machines, with remarkable results. …”
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UPAYA PENINGKATAN MOTIVASI BELAJAR DAN HASIL BELAJAR FISIKA MELALUI PENGGUNAAN MODEL DISCOVERY LEARNING BERBANTUAN LEMBAR KERJA PESERTA DIDIK by Wanti Marsila, Connie Connie, Eko Swistoro

“…Kata Kunci : Model Discovery Learning, Lembar Kerja Peserta Didik, Motivasi Belajar,  Hasil Belajar Fisika.  …”
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Library Facilities, Effective Teaching and Learning of Christian Religious Education in Selected Secondary Schools in Ny Akishenyi Sub-County Rukungiri District, Uganda. by Niwatuha, Jackline

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Impact of E-Learning on Pupils Academic Performance in Social Studies: A Case Study of Selected Schools in Ikumba Sub-County Rubanda District. by Tibekyinga, William

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Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook by Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, Souheil Hallit, Souheil Hallit, Diana Malaeb, Hassan Hosseini, Hassan Hosseini

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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers by Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic

Subjects: “…Ensemble learning…”
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Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches by Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Sawaran SinghSingh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif

“…Leveraging a meta learner-based stacked generalization ensemble strategy, this study integrates classical machine learning techniques with an optimized multi-feature stacked ensemble to predict antenna properties with greater accuracy. …”
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