New Platform Technology for Comprehensive Serological Diagnostics of Autoimmune Diseases by Annika Willitzki, Rico Hiemann, Vanessa Peters, Ulrich Sack, Peter Schierack, Stefan Rödiger, Ursula Anderer, Karsten Conrad, Dimitrios P. Bogdanos, Dirk Reinhold, Dirk Roggenbuck

“…To address the limitations of IIF and to meet the demand for cost-efficient autoantibody screening, automated IIF methods employing novel pattern recognition algorithms for image analysis have been introduced recently. …”
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IL-34 Suppresses Candida albicans Induced TNFα Production in M1 Macrophages by Downregulating Expression of Dectin-1 and TLR2 by Rong Xu, Hong-Fan Sun, David W. Williams, Adam V. Jones, Ali Al-Hussaini, Bing Song, Xiao-Qing Wei

“…The molecular mechanism of IL-34 mediated suppression of HKC induced TNFα production by M1 macrophages was by the inhibition of M1 macrophage expression of key C. albicans pattern recognition receptors (PPRs), namely, Toll-like receptor (TLR) 2 and Dectin-1. …”
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Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells by Jörn Voigt, Christopher Krause, Edda Rohwäder, Sandra Saschenbrecker, Melanie Hahn, Maick Danckwardt, Christian Feirer, Konstantin Ens, Kai Fechner, Erhardt Barth, Thomas Martinetz, Winfried Stöcker

“…In this study, the automated pattern recognition was compared to conventional visual interpretation in a total of 351 sera. …”
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Pathogenetic Substantiation of the Therapeutic Impact on Microbiota in Irritable Bowel Syndrome by Yu. O. Shulpekova, G. H. Babaeva, V. Yu. Rusyaev

“…An important aspect of the interaction of intestinal bacteria with the “host” cells is their contact with pattern recognition receptors of enterocytes, dendritic cell receptors, as well as a transcellular transport of antigens in the region of Peyer’s patches. …”
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Single Nucleotide Polymorphisms in TLR4 Affect Susceptibility to Tuberculosis in Mexican Population from the State of Veracruz by Enrique Ortega, Sujhey Hernández-Bazán, Beatriz Sánchez-Hernández, Ileana Licona-Limón, Javier Fuentes-Dominguez

“…Toll-like receptors (TLRs) are pattern recognition receptors that play a central role in the initiation and shaping of adaptive immune responses, and several TLRs have been shown to recognize mycobacterial components. …”
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Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks by Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang

“…In recent years, as a powerful technique for big data, deep learning has gained a central position in machine learning circles for its great advantages in feature representation and pattern recognition. This article presents a comprehensive overview of studies that employ deep learning methods to deal with clinical data. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

“…The subsequent data processing stage involved the application of an ANN algorithm for pattern recognition to analyze and classify the acquired data, identifying patterns associated with the replicated fault conditions. …”
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The Calicophoron daubneyi genome provides new insight into mechanisms of feeding, eggshell synthesis and parasite-microbe interactions by Shauna M. Clancy, Mark Whitehead, Nicola A. M. Oliver, Kathryn M. Huson, Jake Kyle, Daniel Demartini, Allister Irvine, Fernanda Godoy Santos, Paul-Emile Kajugu, Robert E. B. Hanna, Sharon A. Huws, Russell M. Morphew, J. Herbert Waite, Sam Haldenby, Mark W. Robinson

“…Results Several gene families have undergone specific expansion in C. daubneyi, including the peptidoglycan-recognition proteins (PGRPs) and DM9 domain-containing proteins, which function as pattern-recognition receptors, as well as the saposin-like proteins with putative antibacterial properties, and are upregulated upon arrival of the fluke in the microbe-rich rumen. …”
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Rapid and Efficient Purification of Functional Collectin-12 and Its Opsonic Activity against Fungal Pathogens by Jie Zhang, Anna Li, Chang-qing Yang, Peter Garred, Ying Jie Ma

“…Collectin-12 (collectin placenta 1, CL-P1, or CL-12) is a newly identified pattern recognition molecule of the innate immune system. …”
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Functional connectome gradient of prefrontal cortex as biomarkers of high risk for internet gaming disorder by Xinwen Wen, Lirong Yue, Zhe Du, Jiahao Zhao, Mengjiao Ge, Cunfeng Yuan, Hongmei Wang, Qinghua He, Kai Yuan

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Simultaneous Recognition of Species, Quality Grades, and Multivariate Calibration of Antioxidant Activities for 12 Famous Green Teas Using Mid- and Near-Infrared Spectroscopy Coupl... by Haiyan Fu, Ou Hu, Lu Xu, Yao Fan, Qiong Shi, Xiaoming Guo, Wei Lan, Tianming Yang, Shunping Xie, Yuanbin She

“…In this paper, mid- and near-infrared spectroscopy fingerprints were combined to simultaneously discriminate 12 famous green teas and quantitatively characterize their antioxidant activities using chemometrics. A supervised pattern recognition method based on partial least square discriminant analysis (PLSDA) was adopted to classify the 12 famous green teas with different species and quality grades, and then optimized sample-weighted least-squares support vector machine (OSWLS-SVM) based on particle swarm optimization was employed to investigate the quantitative relationship between their antioxidant activities and the spectral fingerprints. …”
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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

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Klasifikasi Tenun Timor Menggunakan Metode SVM Berdasarkan Speeded Up Robust Features by Yoseph P.K. Kelen, Budiman Baso

“…Abstract This research was conducted as an effort to preserve Timor woven fabrics in the field of information technology, especially in the field of digital image processing, namely pattern recognition which is a solution to recognize weaving images automatically. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”
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Diagnostic Decision-Making Variability Between Novice and Expert Optometrists for Glaucoma: Comparative Analysis to Inform AI System Design by Faisal Ghaffar, Nadine M. Furtado, Imad Ali, Catherine Burns

“… BackgroundWhile expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. …”
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The Voltage-Ear – An Anomaly in Photovoltaic Systems With Undersized Inverters by Ernst Wittmann, Claudia Buerhop-Lutz, Vincent Christlein, Jens Hauch, Christoph J. Brabec, Ian Marius Peters

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Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning by Paul A. Constable, Javier O. Pinzon-Arenas, Luis Roberto Mercado Diaz, Irene O. Lee, Fernando Marmolejo-Ramos, Lynne Loh, Aleksei Zhdanov, Mikhail Kulyabin, Marek Brabec, David H. Skuse, Dorothy A. Thompson, Hugo Posada-Quintero

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Phantom motor execution as a treatment for phantom limb pain: protocol of an international, double-blind, randomised controlled clinical trial by Brian E McGuire, Lina Bunketorp-Käll, Eva Lendaro, Liselotte Hermansson, Helena Burger, Corry K Van der Sluis, Monika Pilch, Katarzyna Kulbacka-Ortiz, Ingrid Rignér, Anita Stockselius, Lena Gudmundson, Cathrine Widehammar, Wendy Hill, Sybille Geers, Max Ortiz-Catalan

“…Preliminary investigations have shown that decoding motor volition using myoelectric pattern recognition, while providing real-time feedback via virtual and augmented reality (VR-AR), facilitates phantom motor execution (PME) and reduces PLP. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…Machine learning (ML) techniques, with their advanced data analysis and pattern recognition capabilities, are highly effective for addressing the complexities of organic solid waste (OSW) treatment and resource recovery. …”
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Automated Video Assistant Referee in Lead Climbing by Eliane Künzler, David Roder, Urs Stöcker, Peter Wolf

“…RTMO: Towards high-performance one-stage real-time multi-person pose estimation. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1491–1500. https://doi.org/10.1109/CVPR52733.2024.00148 …”
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