L’éducation populaire et coopérative à l’épreuve du philosopher by Sylvain Connac

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A Color-Based Multispectral Imaging Approach for a Human Detection Camera by Shuji Ono

“…In contrast, we treat clothing detection as a proxy for human detection and construct a lightweight machine learning model (multi-layer perceptron) based on these four wavelengths. …”
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ENHANCING CRITICAL THINKING ON CLIMATE CHANGE: TPACK IMPLEMENTATION IN PBL WITH DIGITAL POSTERS by Shelly Efwinda, Irma Puspita, Puardmi Damayanti, Abdul Hakim, Muliati Syam

“…These results also show the importance of integrating technology in learning to support the development of student's critical thinking skills, especially in understanding complex topics.…”
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High Precision Infant Facial Expression Recognition by Improved YOLOv8 by Shiwei Ren, Meng Sun, Bin Wang, Manyi Liu, Shaoyang Men

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A Proof of Concept for Improving Estimates of Ungauged Basin Streamflow via an LSTM‐Based Synthetic Network Simulation Approach by A. A. Ramírez Molina, J. M. Frame, J. Halgren, J. Gong

“…Abstract This study introduces a machine learning approach to address the critical challenge of limited real‐time flow data in river basins, particularly for calibrating large‐scale hydrologic models. …”
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IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network by Yuexu Jiang, Manish Sridhar Immadi, Duolin Wang, Shuai Zeng, Yen On Chan, Jing Zhou, Dong Xu, Trupti Joshi

“…Our goal is to introduce a novel deep-learning method to predict ICI treatment responses in cancer patients. …”
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MFAN: Multi-Feature Attention Network for Breast Cancer Classification by Inzamam Mashood Nasir, Masad A. Alrasheedi, Nasser Aedh Alreshidi

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A novel RFE-GRU model for diabetes classification using PIMA Indian dataset by Mahmoud Y. Shams, Zahraa Tarek, Ahmed M. Elshewey

“…Diabetes requires the most machine learning help to diagnose diabetes illness at an early stage, as it cannot be treated and adds significant complications to our health-care system. …”
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When Two are Better Than One: Synthesizing Heavily Unbalanced Data by Francisco Ferreira, Nuno Lourenco, Bruno Cabral, Joao Paulo Fernandes

“…Nowadays, data is king and if treated and used properly it promises to give organizations a competitive edge over rivals by enabling them to develop and design Intelligent Systems to improve their services. …”
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The Impact of Low-Fidelity Three-Dimensional-Printed Models of the Equine Distal Limb and the Canine Forelimb in Teaching Veterinary Anatomy in Practical Classes by Rebecca Schirone, Maximiliane Schmedding, Janet Weigner, Martin Werner, Giuliano Mario Corte, Jan Peter Ehlers, Luise Grace Klass, Mahtab Bahramsoltani

“…Limited cadaver availability and health risks from formaldehyde-treated cadavers have increased the need for alternative learning materials in veterinary anatomy education. …”
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Predictors of frontline doublet or triplet regimen initiation in transplant-ineligible newly diagnosed multiple myeloma by Matthew J. Pianko, Niodita Gupta-Werner, Bruno Emond, Patrick Lefebvre, Marie-Hélène Lafeuille, Annelore Cortoos, Shuchita Kaila

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Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis by Yan Wu, Jianhong Wang, Jianhong Wang, Bo Chen, Yuxue Guo, Yuxue Guo, Ping Gan, Yanbing Han

“…All six genes were found to be upregulated in EAE microglia compared to phosphate-buffered saline (PBS) treated mice. These genes are primarily involved in immune-related pathways, including Toll-like receptor (TLR) signaling, and interact with MS therapeutics such as teriflunomide. …”
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Immunohistochemical Subtype and Parameters of International Prognostic Index in the New Prognostic Model of Diffuse Large B-Cell Lymphoma by SV Samarina, AS Luchinin, NV Minaeva, IV Paramonov, DA D’yakonov, EV Vaneeva, VA Rosin, VA Rosin

“…Median age was 58 years (range 23–83). All patients were treated with R-СНОР. The creation of overall survival (OS) prognostic model for DLBCL patients was based on machine learning with classification and regression trees. …”
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Utilizing Podocyte Foot Process Morphology for the Identification of Diabetic Nephropathy with or without Minimal Change Disease: Establishment of an Artificial Intelligence-Assist... by Li X, Zhang P, Jiang S, Shang S, Zhang J, Liu J, Li C, Gao Y, Zhang H, Li W

“…Xiangmeng Li,1– 4 Peihua Zhang,5 Shimin Jiang,1 Shunlai Shang,1 Jiao Zhang,6 Jinyu Liu,7 Chenchen Li,3,4 Yan Gao,3,4 Haisong Zhang,3,4 Wenge Li1,2,6,7 1Department of Nephrology, China-Japan Friendship Hospital, Beijing, People’s Republic of China; 2China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China; 3Key Laboratory of Bone Metabolism and Physiology in Chronic Kidney Disease of Hebei Province, Affiliated Hospital of Hebei University, Baoding, Hebei, People’s Republic of China; 4Department of Nephrology, Affiliated Hospital of Hebei University, Baoding, Hebei, People’s Republic of China; 5School of Big Data Science, Hebei Finance University, Baoding, Hebei, People’s Republic of China; 6Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 7Graduate School, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Wenge Li, Department of Nephrology, China-Japan Friendship Hospital, Beijing, People’s Republic of China, Email liwenge@pumc.edu.cn Haisong Zhang, Department of Nephrology, Affiliated Hospital of Hebei University, Baoding, Hebei, People’s Republic of China, Email yxyzhanghaisong@hbu.edu.cnBackground: This study aimed to differentiate whether diabetic nephropathy (DN) is complicated by minimal change disease (MCD) through the differences in podocyte foot process morphology, and subsequently establish an Artificial Intelligence-Assisted (AI-assisted) Diagnostic Model through machine learning of renal tissue electron microscopy images.Methods: Patients diagnosed with DN with nephrotic syndrome and treated in our hospital from January 2014 to December 2023 were selected. …”
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Development of an RGB-GE Data Generation and XAI-Based On-Site Classification System for Differentiating <i>Zizyphus jujuba</i> and <i>Zizyphus mauritiana</i> in Herbal Medicine Ap... by So Jin Park, Hyein Lee, Yu-Jin Jeon, Da Hyun Woo, Ho-Youn Kim, Jung-Ok Kim, Dae-Hyun Jung

“…<i>Zizyphus jujuba</i> Mill. var. spinosa, used in Korea for treating insomnia, is often confused with <i>Zizyphus mauritiana</i> Lam., which has unverified medicinal properties yet is sold at premium prices. …”
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Development and Validation of a Novel Nomogram Risk Prediction Model for In-Hospital Death Following Extended Aortic Arch Repair for Acute Type A Aortic Dissection by Qiyi Chen, Yulin Wang, Yixiao Zhang, Fangyu Liu, Kejie Shao, Hao Lai, Chunsheng Wang, Qiang Ji

“…Background: Extended aortic arch repair (EAR) is increasingly adopted for treating acute type A aortic dissection (ATAAD). However, existing prediction models may not be suitable for assessing the in-hospital death risk in ATAAD patients undergoing EAR. …”
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Optimizing blood-brain barrier permeability in KRAS inhibitors: A structure-constrained molecular generation approach by Xia Sheng, Yike Gui, Jie Yu, Yitian Wang, Zhenghao Li, Xiaoya Zhang, Yuxin Xing, Yuqing Wang, Zhaojun Li, Mingyue Zheng, Liquan Yang, Xutong Li

“…To support this, we incorporate a specialized KRAS BBB predictor based on active learning and an affinity predictor employing comparative learning models. …”
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Nursing consultation and diabetes: an educational and transformative process for primary health care by Silvana de Oliveira Silva, Andréa Carvalho Araújo Moreira, Alexa Pupiara Flores Coelho Centenaro, Nara Marilene Oliveira Girardon-Perlini, Teresinha Heck Weiller, Maria Denise Schimith

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SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation by Maria Nancy A, K. Sathyarajasekaran

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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…If left untreated, this illness can be lethal to a person. Diabetes can be treated and a good life can be led with early diagnosis. …”
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