MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

“…The 3D-ResNet component utilizes 3D convolutions and residual connections for pattern recognition, complemented by Bidirectional Long Short-Term Memory (BiLSTM) for enhanced long-term dependency learning by processing data arrangements in forward and backward directions. …”
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Predictive Policing and Enhancing Security Performance through Artificial Intelligence Applications by Bensalem Kheira

“…The application of AI in predictive policing extends beyond pattern recognition. Advanced algorithms adapt to the dynamic nature of criminal activities, addressing evolving trends and innovative methodologies employed by offenders. …”
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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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Male-assisted training and injury patterns: hypergraph-enhanced analysis of injuries in women’s water polo by Xuehui Feng, Xuehui Feng, Zhibin Wang, Zhibin Wang, Zheng Wang, Zheng Wang, Chen He, Chen He, Hongxing Xun, Yuanfa Chen, Jie Ding, Jie Ding, Gen Chen, Gen Chen, Zhe Liu, Zhe Liu

“…Additionally, we introduced graph structure regularization to improve classification accuracy and prevent overfitting in the relatively small dataset, enhancing our ability to identify critical factors affecting injury types.ResultsThe analysis revealed significant differences in injury patterns before and after the MAFT program, with specific influencing factors being identified through both pattern recognition and classification techniques. The classification models, supported by graph structure regularization, achieved improved accuracy in distinguishing key features that contributed to changes in injury types.DiscussionThese findings provide insights into the critical factors influencing injury patterns in female water polo players and highlight the effectiveness of the MAFT program in mitigating certain injury risks. …”
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Forecasting Türkiye's Paper and Paper Products Sector Import Using Artificial Neural Networks by Kamil Abdullah Eşidir, Yunus Emre Gür

“…By leveraging the advanced computational power and pattern recognition capabilities of ANNs, the study aims to enhance the strategic planning processes in the paper and paper products industry. …”
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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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Identification of ALEKSIN as a novel multi-IRF inhibitor of IRF- and STAT-mediated transcription in vascular inflammation and atherosclerosis by Aleksandra Antonczyk, Katarzyna Kluzek, Natalia Herbich, Mahdi Eskandarian Boroujeni, Bart Krist, Dorota Wronka, Anna Karlik, Lukasz Przybyl, Adam Plewinski, Joanna Wesoly, Hans A. R. Bluyssen

“…The key factors contributing to the onset and progression of atherosclerosis include the pro-inflammatory cytokines interferon (IFN)α and IFNγ and the pattern recognition receptor (PRR) Toll-like receptor 4 (TLR4). …”
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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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Single-cell profiling reveals a reduced epithelial defense system, decreased immune responses and the immune regulatory roles of different fibroblast subpopulations in chronic atro... by Lin Lin, Tingxuan Huang, Lizhi Li, Yang Lin, Feng Chen, Ziyi Zheng, Jie Zhou, Yizhe Wang, Weihao You, Yujie Duan, Yawen An, Shiwei He, Weimin Ye

“…C1Q + macrophages exhibited reduced phagocytosis, downregulated expression of pattern recognition receptors and decreased metabolic activity. …”
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The two-component system ArlRS is essential for wall teichoic acid glycoswitching in Staphylococcus aureus by Marieke M. Kuijk, Emma Tusveld, Esther Lehmann, Rob van Dalen, Iñigo Lasa, Hanne Ingmer, Yvonne Pannekoek, Nina M. van Sorge

“…Importantly, WTA glycosylation patterns show variation depending on environmental conditions, thereby impacting phage binding and interaction with host factors, such as antibodies and innate pattern-recognition receptors. Here, we show that the two-component system ArlRS is involved in the regulation of WTA glycosylation by responding to environmental changes in Mg2+ concentration. …”
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Unraveling the impact of SARS-CoV-2 mutations on immunity: insights from innate immune recognition to antibody and T cell responses by Rafael Bayarri-Olmos, Rafael Bayarri-Olmos, Adrian Sutta, Adrian Sutta, Anne Rosbjerg, Anne Rosbjerg, Mie Mandal Mortensen, Charlotte Helgstrand, Per Franklin Nielsen, Laura Pérez-Alós, Beatriz González-García, Laust Bruun Johnsen, Finn Matthiesen, Thomas Egebjerg, Cecilie Bo Hansen, Alessandro Sette, Alessandro Sette, Alba Grifoni, Ricardo da Silva Antunes, Peter Garred, Peter Garred

“…Delta and Omicron variants had 3–5 times higher binding affinities to ACE-2 than the ancestral strain (KDwt = 23.4 nM, KDDelta = 8.08 nM, KDBA.1 = 4.77 nM, KDBA.2 = 4.47 nM). The pattern recognition molecule mannose-binding lectin (MBL) has been shown to recognize the spike protein. …”
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Global glucose metabolism rate as diagnostic marker for disorder of consciousness of patients: quantitative FDG-PET study by Dongsheng Liu, Dongsheng Liu, Dongsheng Liu, Nan Wang, Nan Wang, Nan Wang, Ming Song, Ming Song, Ming Song, Xiaoke Chai, Xiaoke Chai, Qiheng He, Tianqing Cao, Dawei Kong, Zhuhuan Song, Guangming Zhang, Lei Liu, Xiaosong Wang, Guoqiang Chen, Shaoya Yin, Shaoya Yin, Shaoya Yin, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Yi Yang, Jizong Zhao, Jizong Zhao

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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

“…The importance of Dimensionality Reduction technology lies in several fields, including “data processing, patterns recognition, machine learning, and data mining”. …”
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