DEVELOPING A RELIGIOUS MODERATION-BASED CURRICULUM MODULE FOR LABORATORY MADRASAH TSANAWIYAH IN ISLAMIC HIGHER EDUCATION by Muhammad Kosim, Martin Kustati, Wahida Raihan Sirait, Suryadi Fajri, Suci Ramadhanti Febriani, Mufti Mufti, David D Perrodin

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Acceptability of artificial intelligence in inclusive education: a TAM2-based study among preservice teachers by Houda Amouri, Samia Haroud, Lynda Ouchaouka, Nadia Saqri

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Physical health and cognitive ability factors in predicting retirement adjustment based on machine learning approach: results from the China Health and Retirement Longitudinal Stud... by Chenhong Cui, Bolin Zhou, Lin Gao, Dahua Wang, Angela C. Rowe, Bruna S. Nascimento, Hao Zhang, Xiancai Cao, Xiancai Cao, Xiancai Cao

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Prediction of cervical cancer lymph node metastasis based on multisequence magnetic resonance imaging radiomics and deep learning features: a dual-center study by Shigang Luo, Yan Guo, Yongqing Ye, Qinglin Mu, Wenguang Huang, Guangcai Tang

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Dual energy CT-derived quantitative parameters and hematological characteristics predict pathological complete response in neoadjuvant chemoradiotherapy esophageal squamous cell ca... by Miaomiao Li, Yongbin Cui, Yuanyuan Yan, Junfeng Zhao, Xinjun Lin, Qianyu Liu, Shushan Dong, Mingming Nie, Yong Huang, Baosheng Li, Yong Yin

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pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning by Shahid, Maqsood Hayat, Wajdi Alghamdi, Shahid Akbar, Ali Raza, Rabiah Abdul Kadir, Mahidur R. Sarker

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Ultrasound derived deep learning features for predicting axillary lymph node metastasis in breast cancer using graph convolutional networks in a multicenter study by Enock Adjei Agyekum, Wentao Kong, Doris Nti Agyekum, Eliasu Issaka, Xian Wang, Yong-zhen Ren, Gongxun Tan, Xuan Jiang, Xiangjun Shen, Xiaoqin Qian

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Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study by Eun-Tae Jeon, Heemoon Park, Jung-Kyu Lee, Eun Young Heo, Chang Hoon Lee, Deog Kyeom Kim, Dong Hyun Kim, Hyun Woo Lee

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Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study by Yuan Liu, Songyun Zhao, Wenyi Du, Wei Shen, Ning Zhou

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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

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Learning Curves in Laparoscopic Training: Comparative Analysis of Two Training Models by Layla Settaf-Cherif, Adam Ostrowski, Anmol Khan, Katarzyna Malinowska, Oliwia Kwiatkowska, Łukasz Paszylk, Jan Adamowicz, Tomasz Drewa

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Muscle-Driven prognostication in gastric cancer: A multicenter deep learning framework integrating Iliopsoas and erector spinae radiomics for 5-Year survival prediction by Yuan Hong, Peng Zhang, Zhijun Teng, Kang Cheng, Zimo Zhang, Yixian Cheng, Guodong Cao, Bo Chen

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An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China. by Hao Yang, Tianlong Wang, Nikita Igorevich Fomin, Shuoting Xiao, Liang Liu

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Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach. by Wei-Hsuan Lo-Ciganic, Julie M Donohue, Eric G Hulsey, Susan Barnes, Yuan Li, Courtney C Kuza, Qingnan Yang, Jeanine Buchanich, James L Huang, Christina Mair, Debbie L Wilson, Walid F Gellad

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A Self-Attention Enhanced Deep CNN-LSTM-Based Irregular Surface Recognition Approach for Integration Into Lower Limb Prosthesis Systems to Ensure Safety Through Predictive Walking by Norazian Subari, Kamarul Hawari Ghazali, Yuanfa Ji

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In search of knowledge and skills in the area of business models as social innovation in enterprise by Ludmiła Walaszczyk, Elmo de Aangelis, Mojca Vucovič, Gabriela Vlčkova, Evanthia BATZOGIANNI, Beata Belina

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SugarViT-Multi-objective regression of UAV images with Vision Transformers and Deep Label Distribution Learning demonstrated on disease severity prediction in sugar beet. by Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Barreto, Anne-Katrin Mahlein, Rafet Sifa, Christian Bauckhage

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High-accuracy prediction of mutations in nine genes in lung adenocarcinoma via two-stage multi-instance learning on large-scale whole-slide images by Lingyu Zhao, Na Zhao, Ruiqi Zhong, Yiru Niu, Ziyi Chang, Peng Su, Zhihui Wang, Lifang Cui, Bei Wang, Huang Chen, Xiaowen Wang, Xiangbing Kong, Baolin Du, Fei Ren, Dingrong Zhong

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RISKS AND VULNERABILITIES IN EDUCATION AS PRIORITY AREAS OF EDUCATIONAL POLICY by G. V. Stankevich

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Predicting Rolling Element Bearings’ Deterioration Vibration Trend based on Limited Historical Data for a Desired Confidence Level using Machine Learning Algorithms by Mohammad Reza Seif, Somaye Mohammadi, Parham Rahimi, Mehdi Behzad

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