Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature by Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim

“…Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. …”
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PPARγ Expression and Function in Mycobacterial Infection: Roles in Lipid Metabolism, Immunity, and Bacterial Killing by Patricia E. Almeida, Alan Brito Carneiro, Adriana R. Silva, Patricia T. Bozza

“…Current evidence indicates that mycobacterial infection causes a time-dependent increase in PPARγ expression through mechanisms that involve pattern recognition receptor activation. Mycobacterial triggered increased PPARγ expression and activation lead to increased lipid droplet formation and downmodulation of macrophage response, suggesting that PPARγ expression might aid the mycobacteria in circumventing the host response acting as an escape mechanism. …”
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Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks by Hanae Loutfi, Ahmed Bernatchou, Younès Raoui, Rachid Tadili

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Confirmation of Thermal Images and Vibration Signals for Intelligent Machine Fault Diagnostics by Achmad Widodo, Djoeli Satrijo, Toni Prahasto, Gang-Min Lim, Byeong-Keun Choi

“…Following the SOM training, machine fault diagnostics is performed by using the pattern recognition technique of machine conditions. The data used in this work are thermal images and vibration signals, which were acquired from machine fault simulator (MFS). …”
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification by Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang

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Systematic review of machine learning applications using nonoptical motion tracking in surgery by Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic

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Towards pen‐holding hand pose recognition: A new benchmark and a coarse‐to‐fine PHHP recognition network by Pingping Wu, Lunke Fei, Shuyi Li, Shuping Zhao, Xiaozhao Fang, Shaohua Teng

“…Abstract Hand pose recognition has been one of the most fundamental tasks in computer vision and pattern recognition, and substantial effort has been devoted to this field. …”
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Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach by Luc J. W. Evers, Yordan P. Raykov, Tom M. Heskes, Jesse H. Krijthe, Bastiaan R. Bloem, Max A. Little

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Gut Microbiome and Inflammation: A Study of Diabetic Inflammasome-Knockout Mice by Roma Pahwa, Miriam Balderas, Ishwarlal Jialal, Xinpu Chen, Ruth Ann Luna, Sridevi Devaraj

“…Diabetes is a proinflammatory state, evidenced by increased pattern recognition receptors and the inflammasome (NOD-like receptor family pyrin domain (NLRP)) complex. …”
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Effect of complexation with lanthanide metal ions on the photochromism of (1,3,3-trimethyl-<mml:math alttext="$5'$"> <mml:msup> <mml:mn>5</mml:mn> <mml:mo>&#x2032;</mml:mo...

“…Moreover, luminescence mappings for pattern recognition analysis have been obtained from which the nature of the solvent and/or the ligand is clearly identified.…”
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À la recherche des points-clefs de Gilbert Simondon autour d’un système d’information géographique by Stephan Kowal

“…In an effort to link digital cartography to architectural design, this article exemplifies the transition from representations based on the human eye, developed since the Renaissance, to the use of remote sensing devices and computer-generated imageries, pattern recognition, influencing decision-making and design, with the system’s capacity to generate new knowledge with the overlay and combination processes of point elements. …”
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Effects of Microbes on Insect Host Physiology and Behavior Mediated by the Host Immune System by Shan Zhang, Zhengyan Wang, Qiong Luo, Lizhen Zhou, Xin Du, Yonglin Ren

“…Insects recognize environmental pathogens through pattern recognition receptors, thus activating the innate immune system to eliminate pathogens. …”
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Regulating Immune Responses Induced by PEGylated Messenger RNA–Lipid Nanoparticle Vaccine by Hyein Jo, Jaewhoon Jeoung, Wonho Kim, Dooil Jeoung

“…After an mRNA-LNP vaccine enters a cell via an endosome, mRNA is translated into an antigen, which can activate adaptive immunity. mRNAs can bind to various pattern recognition receptors (PRRs), including toll-like receptors (TLRs), and increase the production of inflammatory cytokines. …”
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Comprehensive analysis of ionomic profiling in Chlorella exposed to chlorpyrifos by Qing-Qing Yu, Yulong Zhang, Shiyuan Zhao, Min Pang, Pei Jiang, Pei Qu

“…However, little is known about the toxicological mechanism of CPF on marine microalgae, which is the main primary producer in the marine ecosystem.MethodsThis study explored the ion changes of microalgae Chlorella vulgaris under the stress of CPF through Inductively Coupled Plasma Mass Spectrometry (ICP-MS).ResultsSignificant disparities in ionomics among control and treatment group were observed through pattern recognition analysis (principal component analysis, PCA; orthogonal partial least squares discriminant analysis, OPLS-DA), indicating that CPF may impede their growth by disrupting the homeostasis of crucial elements within algal cells.DiscussionThis study elucidated the inhibitory impact of CPF on green algae growth and its potential mechanism of toxicity through ICP-MS, providing crucial insights for a comprehensive understanding of the influence of organophosphorus pesticides on aquatic ecosystems.…”
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Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization by Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan

“…Nonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. It has been widely used and studied in the multi-view clustering tasks because of its effectiveness. …”
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Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning by Mikhail Petrov, Nadezhda Makarova, Amir Monemian, Jean Pham, Małgorzata Lekka, Igor Sokolov

“…Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by analyzing cells extracted from urine. …”
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Levamisole, as a viral vaccine adjuvant, induces robust host defense through the modulation of innate and adaptive immune responses by Gang Sik Kim, Dong Yun Kwak, Hyeong Won Kim, Seokwon Shin, Mi-Kyeong Ko, Seong Yun Hwang, So Hui Park, Dong Hyeon Kim, Jong-Hyeon Park, Su-Mi Kim, Min Ja Lee

“…By activating downstream signaling pathways of various pattern-recognition receptors, levamisole stimulated the expression of multiple cytokines and costimulatory molecules. …”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

“…However, recent advancements in artificial intelligence, particularly deep learning, have demonstrated superior pattern recognition capabilities compared to humans in complex scenarios. …”
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Pseudomonas evades immune recognition of flagellin in both mammals and plants. by Bart W Bardoel, Sjoerd van der Ent, Michiel J C Pel, Jan Tommassen, Corné M J Pieterse, Kok P M van Kessel, Jos A G van Strijp

“…Recognition of flagellin monomers occurs by flagellin-specific pattern-recognition receptors, such as Toll-like receptor 5 (TLR5) in mammals and flagellin-sensitive 2 (FLS2) in plants. …”
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ECT Image Recognition of Pipe Plugging Flow Patterns Based on Broad Learning System in Mining Filling by Xuebin Qin, ChenChen Ji, Yutong Shen, Pai Wang, Mingqiao Li, Junle Zhang

“…This conclusion indicates the effectiveness of BLS to predict different two-phase flow patterns; it also provides a new solution for the pattern recognition of the flow pattern in the mining filling pipeline.…”
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