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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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

“…While deep learning methods have demonstrated exceptional performance in time series prediction through advanced feature extraction and pattern recognition, they encounter significant limitations when applied to scenarios with sparse data, especially in flood forecasting. …”
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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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Alarmins and their pivotal role in the pathogenesis of spontaneous abortion: insights for therapeutic intervention by Qiqi Zhang, Dandan Yang, Xingxing Han, Yu Ren, Yongqi Fan, Chao Zhang, Lei Sun, Tingting Ye, Qiushuang Wang, Youhao Ban, Yunxia Cao, Huijuan Zou, Zhiguo Zhang

“…These molecules regulate the immune response by interacting with pattern recognition receptors (PRRs) and play important roles in inflammatory response, tissue repair, infection defense, and cancer treatment. …”
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An Automated Compliance Framework for Critical Infrastructure Security Through Artificial Intelligence by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Rafi Us Shan

“…Machine learning (ML) is highly effective in signifying cybersecurity standards, leveraging large-scale data analysis, pattern recognition, and adaptability to emerging threats. …”
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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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Airborne radiometric data for digital soil mapping of peat at broad and local scales by Dave O’Leary, Colin Brown, Jim Hodgson, John Connolly, Louis Gilet, Patrick Tuohy, Owen Fenton, Eve Daly

“…For the present study in Ireland, the supervised classification of gridded airborne radiometric data, acquired over multiple years, is performed using neural network pattern recognition to identify areas of peat and non-peat soils. …”
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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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ZBP1 senses Brucella abortus DNA triggering type I interferon signaling pathway and unfolded protein response activation by Marco Túlio R. Gomes, Erika S. Guimarães, Erika S. Guimarães, Sergio C. Oliveira, Sergio C. Oliveira, Sergio C. Oliveira

“…The innate immune system promptly detects and responds to invading pathogens, with a key role played by the recognition of bacterial-derived DNA through pattern recognition receptors. The Z-DNA binding protein 1 (ZBP1) functions as a DNA sensor inducing type I interferon (IFN) production, innate immune responses and also inflammatory cell death. …”
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Multifunctional 2D FETs exploiting incipient ferroelectricity in freestanding SrTiO3 nanomembranes at sub-ambient temperatures by Dipanjan Sen, Harikrishnan Ravichandran, Mayukh Das, Pranavram Venkatram, Sooho Choo, Shivasheesh Varshney, Zhiyu Zhang, Yongwen Sun, Jay Shah, Shiva Subbulakshmi Radhakrishnan, Akash Saha, Sankalpa Hazra, Chen Chen, Joan M. Redwing, K. Andre Mkhoyan, Venkatraman Gopalan, Yang Yang, Bharat Jalan, Saptarshi Das

“…Additionally, we exploit room-temperature weak polarization switching, a feature of incipient ferroelectricity, to construct a physical reservoir for pattern recognition. Our results showcase the potential of utilizing perovskite material properties enabled by advancements in freestanding film growth and heterogeneous integration, for diverse functional applications. …”
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Immunomodulatory effects of thymol and cinnamaldehyde in chicken cell lines by C. Shen, L.G. Christensen, S.Y. Bak, N. Christensen, K. Kragh

“…The expression of cytokines, chemokines and pattern recognition receptors by HD-11 monocytes/macrophages was measured by RT-PCR and by proteomic analysis. …”
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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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Où étiez-vous le 11 septembre 2001 ? by Jean-François LEGAULT

“…», Alan Jackson’s country song « Where Were You (When the World Stopped Turning) », the Wherewereyou.org website and various occurrences in anthologies of fiction and poetry (Ulrich Beck’s 110 Stories and William Heyen’s September 11, 2001 : American Writers Respond), as well as novels (William Gibson’s Pattern Recognition). I will demonstrate how the « Where were you when » is a particular type of memory, inscribed in a tension between the micro and macroscopic scales of the event, and how it imposes itself in the background of the whole cultural production linked with 9/11.…”
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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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