In Search of an Integrative Method to Study Unconscious Processing: An Application of Bayesian and General Recognition Theory Models to the Processing of Hierarchical Patterns in t... by Antonio Prieto, Pedro R. Montoro, Mikel Jimenez, José Antonio Hinojosa

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Peptidoglycan recognition protein PGRP-5 is involved in immune defence and neuro-behavioral disorders in zebrafish embryos. by Xi Li, Guanghua Xiong, Manni Luo, Siwan Mao, Ruiying Zhang, Ziwei Meng, Juan Li, Xinjun Liao

“…Peptidoglycan recognition proteins (PGRPs) are the evolutionarily highly conserved class of pattern recognition receptors, however, their functions on the innate immune system and neuro-inflammatory response in aquatic organism are still poorly understood. …”
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Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

“…For the facial expression recognition task, we studied the coordination patterns of seven muscles, expressed as three muscle synergies extracted through non-negative matrix factorization, during the execution of six basic facial expressions. …”
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Application of deep learning models on single-cell RNA sequencing analysis uncovers novel markers of double negative T cells by Tian Xu, Qin Xu, Ran Lu, David N. Oakland, Song Li, Liwu Li, Christopher M. Reilly, Xin M. Luo

“…They have increasingly gained recognition for their novel roles in the immune system, especially under autoimmune conditions. …”
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Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…Existing methods struggle with flexibility in varying conditions; thus, the Trans-Lucent-Rich Reprise Pattern recognition algorithm for precise identification of infected areas is introduced. …”
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Catastrophic and violent tornadoes: a detailed review of physical-mathematical models by Sergey A. Arsen’yev, Lev V. Eppelbaum

“…A method for nonstochastic long-term forecasting using the pattern recognition theory and Fourier analysis has recently been developed. …”
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MsCL-P1: A multifunctional C-type lectin from largemouth bass (Micropterus salmoides) with broad microbe binding and agglutination activities by Siyi She, Ying Ye, Fengyao Guo, Shun Yang, Mengmeng Huang, Hui Fei

“…C-type lectins are a family of calcium-dependent carbohydrate-recognition domain (CRD) containing proteins that play a pivotal role in innate immunity. …”
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Exploring Core Genes Associated with Sepsis and Systemic Inflammatory Response Syndrome Using Single-Cell Sequencing Technology by Shen Y, Leng L, Hu Y

“…The frequency of occurrence is on the rise, but there is a lack of certain indicators for the timely detection and recognition of illnesses.Methods: By virtue of scRNA-seq, this research has analyzed single-cell transcriptome data from samples taken from groups with septic death and systemic inflammatory response syndrome so as to identify the unique markers and patterns in immune response.Results: By revealing the status of twelve cell clusters of four major cell types in blood samples through UMAP cell clustering and the differences of major cell populations between the dead and SIRS patients, the results have elucidated the components of different cells and their marker genes in two disease states, and the response mechanism beneficial to disease diagnosis in blood samples.Conclusion: By establishing a theoretical framework centered on cellular and molecular regulation, the study has introduced a novel approach for diagnosing and treating sepsis death group and SIRS patients early, as well as differentiating and preventing these conditions.Keywords: sepsis, SIRS, single cell sequencing, biomarkers, single cell transcriptome…”
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