Analyzing the compressive performance of lightweight foamcrete and parameter interdependencies using machine intelligence strategies by Wang Guoyuan, Fan Wenbo, Shi Qingbin, Luo Yingqi

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Modalités de collaboration entre étudiants et constitution d'une communauté dans une activité à distance by Charlotte Dejean-Thircuir

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Research on Curriculum System for Academic Doctoral Training in Teacher Education: A Case Study of Michigan State University by ZHAO Ying, LIU Yanren

“…To achieve this goal, the program constructed a high-quality "4+1" modular curriculum system. …”
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從工具示能性與關係行動主體之觀點 探討偏鄉教育系統賦能策略之研究 Investigating the Construction of Empowerment Action Models in Remote Educational Systems Through the Lenses of Tool Affordance and Relational Age... by 陳佩英 Peiying Chen, 洪琴雯 Chin-Wen Hung

“…This was the practical and creative value of tools and the key cognition for the team’s continuous professional learning. Continuous Inquiry Cycles Were an Effective Way to Construct Rural Education System Empowerment Due to the Complex and Rapidly Changing Nature of Rural Education Systems Learning from feedback in practice and ongoing discussion was particularly important. …”
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Research on Reservoir Identification of Gas Hydrates with Well Logging Data Based on Machine Learning in Marine Areas: A Case Study from IODP Expedition 311 by Xudong Hu, Wangfeng Leng, Kun Xiao, Guo Song, Yiming Wei, Changchun Zou

“…This study explores the logging identification method of marine GHRs based on machine learning (ML) according to the logging data of the International Ocean Drilling Program (IODP) Expedition 311. …”
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Pretreatment CT-Based Machine Learning Radiomics Model Predicts Response in Inoperable Stage III NSCLC Treated with Concurrent Radiochemotherapy Plus PD-1 Inhibitors by Ya Li Bachelor, Min Zhang Bachelor, Yong Hu MM, Bo Du Bachelor, Youlong Mo Bachelor, Tianchu He MM, Mingdan Zhao Bachelor, Benlan Li Bachelor, Ji Xia Bachelor, Zhongjun Huang Bachelor, Fangyang Lu MD, Zhen Huang Bachelor, Bing Lu MD, Jie Peng MD

“…Results Based on the performance of radiomics models constructed by various machine learning algorithms in the prospective validation set, the LR with the highest AUC value (AUC: 90.00%) was finally selected, which also performed well in the independent test set (AUC: 84.96%). …”
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MRI-based deep learning and radiomics for predicting the efficacy of PD-1 inhibitor combined with induction chemotherapy in advanced nasopharyngeal carcinoma: A prospective cohort... by Yiru Wang, Fuli Chen, Zhechen Ouyang, Siyi He, Xinling Qin, Xian Liang, Weimei Huang, Rensheng Wang, Kai Hu

“…Aim: To establish and evaluate a model for predicting the efficacy of programmed death-1 (PD-1) inhibitor combined with GP (gemcitabine and cisplatin) induction chemotherapy based on deep learning features (DLFs) and radiomic features. …”
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Arabic Language Curriculum as a Foundation for Strengthening Religious Education in Public Higher Education by Abd Aziz Rekan, Hafeezur Rahman Howell, Muhamad Nasir Mohamad Salleh, Nurhasfirah Rosin, Tabrani ZA, Muhammad Anas Ma`arif, Mohamad Azrien Mohamed Adnan

“…These findings were used to construct a quantitative questionnaire, which was then administered in the second phase to 184 respondents. …”
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Pedagogical education of parents in conditions of destructive influence of values and meanings of mass culture via an informational and educational platform by V. V. Kulishov, O. A. Mosina

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Alternative educational pathways for higher certificate in information technology graduates at a South African university of technology by Dina Moloja, Moretlo Tlale-Mkhize, Bekithemba Dube

“…The paper uses the lens of constructivist theory to explore how alternative educational pathways can be designed to support these graduates by promoting active, experiential learning and enabling them to construct knowledge in practical, real-world contexts. …”
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Lesson learned from implementation of green building concepts towards sustainable development: A case study of a state-owned enterprises (BUMN) head office in Cilacap by Vitriana Vitriana, Hermawan Ferry, Kurniati Rina

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Land Cover Transformations in Mining-Influenced Areas Using PlanetScope Imagery, Spectral Indices, and Machine Learning: A Case Study in the Hinterlands de Pernambuco, Brazil by Admilson da Penha Pacheco, João Alexandre Silva do Nascimento, Antonio Miguel Ruiz-Armenteros, Ubiratan Joaquim da Silva Junior, Juarez Antonio da Silva Junior, Leidjane Maria Maciel de Oliveira, Sylvana Melo dos Santos, Fernando Dacal Reis Filho, Carlos Alberto Pessoa Mello Galdino

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Assessment of digital literacy and use of smart phones among Central Indian dental students by Payal Saxena, Saurabh Kumar Gupta, Divya Mehrotra, Shivam Kamthan, Husain Sabir, Pratibha Katiyar, S.V. Sai Prasad

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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

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Antipatterns in Database Design by S. M. Shcherbakov, K. K. Kalugyan, A. V. Abramova, V. Y. Grechkina

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Explainable deep learning algorithm for identifying cerebral venous sinus thrombosis-related hemorrhage (CVST-ICH) from spontaneous intracerebral hemorrhage using computed tomograp... by Kai-Cheng Yang, Yunzhi Xu, Qing Lin, Li-Li Tang, Jia-wei Zhong, Hong-Na An, Yan-Qin Zeng, Ke Jia, Yujia Jin, Guoshen Yu, Feng Gao, Li Zhao, Lu-Sha Tong

“…The study aimed to develop an explainable deep learning model to quickly identify ICH caused by CVST based on non-contrast computed tomography (NCCT). …”
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Rethinking Attention in Online Asynchronous Study: A Postphenomenological Perspective by Tina Postalian

“… As universities incorporate an asynchronous provision as part of online programmes appealing to the possibility of learning anytime, anywhere, the topic of attention in online study is both important and relevant in education today. …”
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Arabic Teaching Curriculum for Indonesian General Educational Stages in the Society Era 5.0 by Rodhy Harisca, Ahmad Bukhari Muslim, Abdulahi Hussein Moalim Shariif

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SpectralEarth: Training Hyperspectral Foundation Models at Scale by Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu

“…In tandem, we construct nine downstream datasets for land-cover, crop-type mapping, and tree-species classification, providing benchmarks for model evaluation. …”
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The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime by Brian C. Brown, Aimee H. Fullerton, Darin Kopp, Flavia Tromboni, Arial J. Shogren, J. Angus Webb, Claire Ruffing, Matthew Heaton, Lenka Kuglerová, Daniel C. Allen, Lillian McGill, Jay P. Zarnetske, Matt R. Whiles, Jeremy B. Jones Jr., Benjamin W. Abbott

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