Médiation, discursivité et compétence pragmatique by Florimond Rakotonoelina

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Discovery of novel diagnostic biomarkers of hepatocellular carcinoma associated with immune infiltration by Qiang Liu, Hua Zhang, Heng Xiao, Ao Ren, Ying Cai, Rui Liao, Huarong Yu, Zhongjun Wu, Zuotian Huang

“…Objective Diagnosis of hepatocellular carcinoma (HCC) remains challenging for clinicians. Machine learning approaches and big data analyses are viable strategies for identifying HCC diagnostic markers.Materials and methods In this study, we downloaded mRNA expression profiles of HCC from the GEO database and used random forest and machine learning algorithms, such as least absolute shrinkage and selection operator, to screen for reliable diagnostic genes. …”
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Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks by Yinjun Zhang, Lingzhi Wang

“…ABSTRACTAlzheimer's disease (AD) is a neurological condition that impairs the patient's cognitive function. The article presents a deep learning architecture using the implicit image from MRI to categories MRI scans and detect AD on time. …”
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Clinical and Histopathological Determinants for Kidney Allograft Survival in the Eurotransplant Senior Program (ESP) at the Time of Allocation by Tom N. Langer, Tom N. Langer, Thorsten Wiech, Thorsten Wiech, Mercedes Noriega, Sergey Biniaminov, Tobias B. Huber, Tobias B. Huber, Lutz Fischer, Lutz Fischer, Florian Grahammer, Florian Grahammer, Florian Grahammer, Malte A. Kluger, Malte A. Kluger

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Etude de la dynamique interne des communautés d’apprentissage professionnelles dans l’enseignement primaire au Sénégal. by Cyrielle Le Her

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A cooperative dynamic target search approach for multi-UAV systems utilizing the MAPPO algorithm by Peiyan Zhang, Guodong Li

“…This algorithm enables agents to share local observation information through communication, incorporates an attention mechanism to highlight important information, and introduces an exploration reward function. These enhancements allow agents to learn superior strategies in complex environments, significantly improving the efficiency and success rate of multi-UAV cooperative target search tasks. …”
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Big data in visual field testing for glaucoma by Alex T. Pham, Annabelle A. Pan, Jithin Yohannan

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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

“…In today’s information-driven era, machine learning is revolutionizing medicinal chemistry, offering a paradigm shift from traditional, intuition-based, and often bias-prone methods to the prediction of chemical properties without prior knowledge of the basic principles governing drug function. …”
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Large‐scale image‐based profiling of single‐cell phenotypes in arrayed CRISPR‐Cas9 gene perturbation screens by Reinoud de Groot, Joel Lüthi, Helen Lindsay, René Holtackers, Lucas Pelkmans

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PM2.5 prediction using population-based centrality weight by Hee Joon Choi, Won Kyung Lee, So Young Sohn

“…We propose to apply a population-based centrality weight to the cost function of the forecasting model, reflecting both of residential and changes in active populations. …”
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Enhancing cyber threat detection with an improved artificial neural network model by Toluwase Sunday Oyinloye, Micheal Olaolu Arowolo, Rajesh Prasad

“…Identifying cyberattacks that attempt to compromise digital systems is a critical function of intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and vulnerability to malicious data injections are only a few drawbacks of using machine learning algorithms for cybersecurity. …”
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Cohort protocol: risk assessment of maternal inflammation and early brain development in infants and young children based on multi-source data modeling by Xianghui Huang, Xianghui Huang, Cuimin Su, Ying Lin, Ying Lin, Tianyi Zhou, Ruming Ye, Ruming Ye, Dan Li, Dan Li, Miaoshuang Liu, Guanhong Wu, Wanting Li, Namei Xie, Xiaofang Deng, Nanxi Zhu, Shaohong Lin, Qin Li, Kai Yan, Deyi Zhuang, Deyi Zhuang

“…Children's cognitive, emotional, and linguistic development was evaluated, and blood samples were obtained for whole-exome sequencing and exposure-related biomarker analysis.ConclusionIn this study, we used deep learning artificial intelligence to construct an early risk assessment model for infant brain development based on the developmental trajectory and developmental results of early brain structure, function, and connections under the complex interaction of “gene-image-environment-behavior” multi-factors, which can improve the early identification and precise intervention of problems in this period, and improve infants cognitive learning and work performance in childhood, adolescence and even adulthood.Clinical trial registrationhttps://www.clinicaltrials.gov/; identifier [NCT05040542].…”
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Permanent education throughout life as the aim and result by Nadezhda N. Elhova, Evgeny V. Krotov, Raisa B. Rudakova

“…The article proposes a structural and functional model of education of the future, which provides everyone with the opportunity to choose an individual educational trajectory as an institutionalized support for learning and development throughout life.…”
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Reducing Uncertainty of Weak Supervised Signals via Mutual Information Techniques by Yichen Liu, Hanlin Feng, Xin Zhang

“…Weakly supervised learning (WSL) refers to training models using imperfect or noisy labels, which can significantly reduce the costs associated with manual labeling. …”
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Research on AGV Path Planning Based on Improved DQN Algorithm by Qian Xiao, Tengteng Pan, Kexin Wang, Shuoming Cui

“…Then, a refined multi-objective reward function is designed, combined with direction guidance, step punishment, and end point reward, to effectively guide the agent in learning an efficient path. …”
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A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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Intelligent garbage classification system based on improve MobileNetV3-Large by Yi Zhao, Hancheng Huang, Zhixiang Li, Huang Yiwang, Manjie Lu

“…The software module is based on WeChat applet and offers functions for image recognition, text recognition, speech recognition, points-based quiz and so on. …”
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An Augmented AutoEncoder With Multi-Head Attention for Tool Wear Prediction in Smart Manufacturing by Chunping Dong, Jiaqiang Zhao

“…Computer numerical control (CNC) machine tools play a crucial role in the manufacturing industry, and cutting tools, as key functional components, directly impact the quality of the machining process. …”
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DeepDoublet identifies neighboring cell-dependent gene expression by Linbu Liao, Junyoung Kim, Kanghee Cho, Junil Kim, Byung-Kwan Lim, Kyoung Jae Won

“…Abstract Cells interact with each other for proper function and homeostasis. Often, co-expression of ligand-receptor pairs from the single-cell RNAseq (scRNAseq) has been used to identify interacting cell types. …”
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Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery by Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi

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