Gut microbiota: a novel target for exercise-mediated regulation of NLRP3 inflammasome activation by Jun Chen, Shaohui Jia, Xinxuan Xue, Chenggeng Guo, Kunwei Dong

“…The NOD-like receptor family pyrin domain-containing 3 (NLRP3) is a key pattern recognition receptor in the innate immune system. …”
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Nuclear Alarmin Cytokines in Inflammation by Lili Jiang, Yijia Shao, Yao Tian, Changsheng Ouyang, Xiaohua Wang

“…Pathogen-associated molecular patterns (PAMPs) are some nonspecific and highly conserved molecular structures of exogenous specific microbial pathogens, whose products can be recognized by pattern recognition receptor (PRR) on innate immune cells and induce an inflammatory response. …”
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Optofluidic paper-based analytical device for discriminative detection of organic substances via digital color coding by Jinsol Choi, Chi Yeung Oh, Gong Qian, Tae Soup Shim, Heon-Ho Jeong

“…The optofluidic PADs clearly distinguish 11 organic chemicals with digital readout of pattern recognition from colorimetric signals. We believe that our optofluidic coding strategy mimicking the olfactory system opens up a wide range of potential applications in colorimetric monitoring of chemicals observed in environment.…”
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Laser Desorption-Ion Mobility Spectrometry of Explosives for Forensic and Security Applications by Giorgio Felizzato, Martin Sabo, Matej Petrìk, Francesco Saverio Romolo

“…Chemometric approaches, including multivariate data analysis, were utilised for data processing and interpretation, including pre-processing of raw IMS plasmagrams and various pattern recognition techniques, such as linear discriminant analysis (LDA) and support vector machines (SVMs). …”
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Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence by L. Subha, Atul Sharma, Anita Misra

“…It explores AI-driven advancements in image analysis, pattern recognition, and ML techniques for individualized treatment plans, early diagnosis, and categorization. …”
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Bio‐Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics by Elvis K. Boahen, Hyukmin Kweon, Hayoung Oh, Ji Hong Kim, Hayoung Lim, Do Hwan Kim

“…This study explores the latest advancements in artificial synaptic properties triggered by various stimuli, including optical, auditory, mechanical, and chemical inputs, and their subsequent processing through artificial neural networks for applications in image recognition and multimodal pattern recognition. The discussion extends to the emulation of biological perception via artificial synapses and concludes with future perspectives and challenges in neuromorphic system development, emphasizing the need for a deeper understanding of neural network processing to innovate and refine these complex systems.…”
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Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks by A. Stephen Sagayaraj, T. Kalavathi Devi

“…Among the classifiers tested, Neural Network-based Pattern Recognition (NNPR) achieved the highest accuracy of 99.6%, sensitivity of 99.64%, specificity of 99.64%, F1-Score of 99.6, and a Kappa score of 0.99, demonstrating its superior performance. …”
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Research on multi-source microstructure image recognition of foam ceramics using convolutional network combine with frequency domain by Yi Yin, Jianwei Pan, Fang Wang, Peihang Li, Zhen Cai, Xin Xu

“…This research aims to advance the application of foam ceramic microstructure image analysis by improving recognition accuracy, particularly in multi-source microscopic image feature learning and pattern recognition.…”
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Detection of Prosthetic Knee Movement Phases via In-Socket Sensors: A Feasibility Study by Amr M. El-Sayed, Nur Azah Hamzaid, Kenneth Y. S. Tan, Noor Azuan Abu Osman

“…This paper presents an approach of identifying prosthetic knee movements through pattern recognition of mechanical responses at the internal socket’s wall. …”
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Configuration of the Operation Modes for a Scintillating Fiber Sub-Detector in LHCb Experiment by Tomás Sierra-Polanco, Diego Milanés, Carlos E. Vera

“…It will emphasize the Scintillating Fibers detector (SciFi), one of LHCb's future sub-detectors in charge of the trace pattern recognition based on the hits occurred on this sub-detector and the recording of significant events in the data transmission. …”
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Arabic Sign Language Recognition System for Alphabets Using Machine Learning Techniques by Gamal Tharwat, Abdelmoty M. Ahmed, Belgacem Bouallegue

“…In recent years, the role of pattern recognition in systems based on human computer interaction (HCI) has spread in terms of computer vision applications and machine learning, and one of the most important of these applications is to recognize the hand gestures used in dealing with deaf people, in particular to recognize the dashed letters in surahs of the Quran. …”
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Traffic Control of Bacteria-Derived Molecules: A New System of Host-Bacterial Crosstalk by Hiroaki Konishi, Mikihiro Fujiya, Yutaka Kohgo

“…Virulent microorganisms, such as pathogenic bacteria and viruses, are recognized by pattern recognition receptors (PRRs), including toll-like receptors (TLRs) and nucleotide-binding oligomerization-domain proteins (NODs), and induce inflammatory responses in mammalian hosts. …”
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Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details by Andreas Fieselmann, Markus Kowarschik, Arundhuti Ganguly, Joachim Hornegger, Rebecca Fahrig

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Imaging in connective tissue disease-associated interstitial lung disease by Praveen P G. Rao, Kushal Joshi, Sidath Liyanage, Daniel Dalili, Gouri Koduri

“…Interpretation of HRCT in ILD is often challenging, but an emphasis on pattern recognition in the clinical context should lead to prompt diagnosis and management. …”
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The Mechanisms of Systemic Inflammatory and Immunosuppressive Acute-on-Chronic Liver Failure and Application Prospect of Single-Cell Sequencing by Kai Kou, Xiaodong Sun, Guangyao Tian, Yao Zhi, Zhongqi Fan, Guoyue Lv

“…Liver inflammation begins when innate immune cells (such as Kupffer cells (KCs)) are activated by binding of pathogen-associated molecular patterns (PAMPs) from pathogenic microorganisms or damage-associated molecular patterns (DAMPs) of host origin to their pattern recognition receptors (PRRs). Activated KCs can secrete inflammatory factors as well as chemokines and recruit bone marrow-derived cells such as neutrophils and monocytes to the liver to enhance the inflammatory process. …”
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A Review of Brain–Computer Interface-Based Language Decoding: From Signal Interpretation to Intelligent Communication by Yingyi Qiu, Han Liu, Mengyuan Zhao

“…Our analysis reveals the field’s evolution from basic signal interpretation through dynamic communication to intelligent interaction, marked by three key transitions: from single-channel to multimodal processing, from traditional pattern recognition to deep learning architectures, and from generic systems to personalized platforms. …”
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Analysis of Marketing Prediction Model Based on Genetic Neural Network: Taking Clothing Marketing as an Example by Hua Peng, Luxiao Dong, Yi Sun, Yanfang Jiang

“…With the development of genetic neural network technology, this technology has been more and more widely used in signal processing, pattern recognition and other application fields. This article discusses a marketing forecasting model based on genetic neural network, predicting model parameters based on historical data of actual sales, and then carrying out experimental analysis. …”
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Identification and Characterization of a Novel Rat MAVS Variant Modulating NFκB Signaling by Ihsan Nalkiran, Hatice Sevim Nalkiran

“…The innate immune response serves as the primary defense against viral infections, with the recognition of viral nucleic acids by pattern recognition receptors (PRRs) initiating antiviral responses. …”
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Power Load Prediction Algorithm Based on Wavelet Transform by Xu Chen, Haomiao Zhang, Chao Zhang, Zhiqiang Cheng, Yinzhe Xu

“…This achievement is attributed to the powerful signal processing capabilities of the discrete wavelet transform, advanced pattern recognition and prediction capabilities of these three deep learning network algorithms, and the intelligence of digital twin technology. …”
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Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins by Lu Xu, Qiong Shi, Si-Min Yan, Hai-Yan Fu, Shunping Xie, Daowang Lu

“…The feasibility of combining elemental fingerprints and chemical pattern recognition methods for authentication of the geographical origins of a Chinese herb, Gastrodia elata BI. …”
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