Conceptual Change Inquiry Curriculum and Traditional Lecture Approach: Preservice Teacher’s Perceptions of Learning by Lloyd Mataka, Rex Taibu

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La collection de vases grecs du marquis de Northampton (1790-1851). Entre archéologie et sciences de la nature by Marie-Amélie Bernard

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Problem-Based Learning Research in Anesthesia Teaching: Current Status and Future Perspective by G. Chilkoti, M. Mohta, R. Wadhwa, A. K. Saxena

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Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images by Penghan Yang, Wujie Zhou, Yuanyuan Liu

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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

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Reviewing the Impact of Generative AI on ‎Language Learning and Teaching: A Synthesis of Potentials and Pitfalls by Hewa Fouad Ali, Zahra Abdulmutalib Muhammed

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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

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IMPLEMENTASI METODE CONCEPT MAPPING UNTUK MENINGKATKAN HASIL BELAJAR SAINS DAN KREATIVITAS SISWA KELAS VI SDN BENER 01 TAHUN PELAJARAN 2017/2018 by Sudjinah Sudjinah

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Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health by Vladislav Kaverinsky, Dmytro Vakulenko, Liudmyla Vakulenko, Kyrylo Malakhov

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GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

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Third Grade Manatee Curriculum—Lesson 1: Starting to Learn about Manatees by Heather Maness, Ruth Francis-Floyd, Maia McGuire

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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

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Transfer learning for non-image data in clinical research: A scoping review. by Andreas Ebbehoj, Mette Østergaard Thunbo, Ole Emil Andersen, Michala Vilstrup Glindtvad, Adam Hulman

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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

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Implementing essential diagnostics-learning from essential medicines: A scoping review. by Moriasi Nyanchoka, Mercy Mulaku, Bruce Nyagol, Eddy Johnson Owino, Simon Kariuki, Eleanor Ochodo

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A recurrence model for non-puerperal mastitis patients based on machine learning. by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

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STEAM approach in project-based learning to develop mathematical literacy and students' character by In In Supianti, Poppy Yaniawati, Ebenezer Bonyah, Astri Widiastuti Hasbiah, Nisrina Rozalini

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WEB-BASED LEARNING AND STUDENTS' SCHOLASTIC ACCOMPLISHMENT AT NATIONAL OPEN UNIVERSITY OF NIGERIA by Taofeek Gbolahan Muibi

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Integrating Dilemma Stories into Chemistry Learning: Analyzing Students’ Critical Thinking Skills by Tritiyatma Hadinugrahaningsih, Yuli Rahmawati, Rika Siti Syaadah, Fitri Sumalia Dewi, Shakira Az-Zahra, Fitri Tamarani

“…The study was conducted at SMAN 77 Jakarta with 36 students from Class X Mathematics and Natural Science 2. A qualitative approach was used, with data collected through observations, reflective journals, interviews, and critical thinking tests. …”
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