Expression pattern and clinical significance of MerTK on circulating NK cells in systemic lupus erythematosus by Jianping Guo, Yin Su, Xiao Han, Yin Zhu, Haojie Xu, Ranran Yao, Ziye Wang, Ruyu Liang, Wenwen Pei, Renge Liang

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The Effect of Impactor Geometry on the Damage Patterns Generated by Low-Velocity Impacts on Composite Pressure Vessels by Shiva Rezaei Akbarieh, Dayou Ma, Claudio Sbarufatti, Andrea Manes

“…The research then analyzes how the shape and size of impactors influence damage patterns in the curved vessel, aiming to establish a relationship between impactor geometry features and damage, which is crucial for the design and applications of carbon fiber composites in such an engineering application.…”
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The Application of Digital Holographic Speckle Pattern Interferometry to the Structural Condition Study of a Plaster Sample by Kyriaki Kosma, Vivi Tornari

“…The fringe patterns in the interferometric images reveal features and characteristics of the interior of the material, with the experimental method and the post-process analysis adopted in this work offering accuracy, sensitivity and full-field diagnosis, in a completely non-destructive manner, without the need of sampling.…”
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Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

“…In this paper, a neutrosophic CLBP (completed local binary pattern) based grasshopper species classification framework is proposed. …”
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The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns by Lianne Grin, Sieglinde Bogaert, Saskia Wijnands, Arnold Besselaar, Marieke van der Steen, Jesse Davis, Benedicte Vanwanseele

“…A relapsed clubfoot typically involves a combination of deformities affecting a child’s movement pattern across multiple joint levels, formed by a complex kinematic chain. …”
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Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

“…Moreover, representative file access patterns, including temporal, spatial, length, and frequency patterns, are identified for individual files, directories, and file formats, and used as features. …”
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AI‐Driven Defecation Analysis by Smart Healthcare Toilet: Exploring Biometric Patterns and Eu‐Tenesmus by Zhiquan Song, TaeHyung Kwon, Jeung Lee, Daeyoun D. Won, Brian J. Lee, Hyuk Soon Choi, Joseph C. Liao, Walter G. Park, Irene Sonu, Stephan Rogalla, Michael J. Rosen, David L. Hu, Jonathan Kuang Ziyang, Sunny Hei Wong, Bong Hyun Jun, Soh Kim, Seung‐min Park

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Frequency and Patterns of Congenital Heart Defects in Neonates of Diabetic Mothers at a Tertiary Care Hospital by Fazal Rehman, Shahnaz Anwer, Anwar Ul Haq, Iftikhar Ahmad, Muhammad Adnan Zafar, Umar Shafiq

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Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

“…As the climate continues to warm, the thawing of ice-rich permafrost leads to changes in the polygonal patterned ground (PPG) landscape, exhibiting an array of spatial heterogeneity in trough patterns, governing permafrost stability and hydrological and ecosystem dynamics. …”
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Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States by Donghui Li, Yanan Chen, Lingqi Lyu, Ximing Cai

“…The analysis further shows the module application transition patterns featuring operation dynamics for reservoirs of different operation purposes, sizes, and locations. …”
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Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung by Jing Shen, Shaobin Wang, Hui Guan, Mingyi Di, Zhikai Liu, Qi Chen, Mei Li, Jie Shen, Ke Hu, Fuquan Zhang

“…An AI-driven image segmentation system segmented the initial CTV, evaluating 110 clinical parameters. The recursive feature elimination method selected pertinent features, and a random forest-based recursive prediction model was developed to establish a clinically viable recurrence prediction model.Results1. …”
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A Clinical–Radiomics Nomogram for the Preoperative Prediction of Aggressive Micropapillary and a Solid Pattern in Lung Adenocarcinoma by Xiangyu Xie, Lei Chen, Kun Li, Liang Shi, Lei Zhang, Liang Zheng

“…<b>Conclusions:</b> Integrating clinical and radiomics features significantly improves the preoperative identification of aggressive NSCLC patterns. …”
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Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network by Ge Gao, Xu Zhang, Xiang Chen, Zhang Chen

“…The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mitigate the concurrent interference of electrode shift and loosening, thereby improving the practicality of MPR-based gestural interfaces towards intelligent control. …”
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Identifying AC Control Patterns From a Massive Longitudinal Log Dataset Using Deep Clustering by Seunghwan Bae, Donghee Kim, Seokhwan Seong, Jaeyeon Jang, Young-Kyoon Suh, Honghyun Kim, Dongwoo Han, Inuk Jung

“…The feature patterns of the actively controlled group significantly differed from those of the inactively controlled group. …”
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Detection of Cardiac Function Abnormality from MRI Images Using Normalized Wall Thickness Temporal Patterns by Mai Wael, El-Sayed H. Ibrahim, Ahmed S. Fahmy

“…Purpose. To develop a method for identifying abnormal myocardial function based on studying the normalized wall motion pattern during the cardiac cycle. …”
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Efficacy of Mepolizumab in the Treatment of Severe Asthma with a Mixed Granulocytic Pattern of Airway Inflammation (Case Report) by A. M. Gubareva, S. V. Fedosenko, D. A. Vinokurova, S. V. Nesterovich, E. S. Kulikov, D. V. Polyakova, E. A. Starovoitova

“…The most common mixed granulocytic pattern of severe asthma occurs in comorbid pathology, in particular, when it is combined with chronic obstructive pulmonary disease (COPD) or bronchiectasis.In the presented observations, both patients had an experience of smoking, a late manifestation of bronchial asthma with the development of centrilobular emphysema and an irreversible decrease in the FEV/FVC ratio as part of the development of COPD. …”
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Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity by Yibo Jiang, Wen Li, Lihao Zheng, Nan Ba

“…Results indicated shared molecular patterns between CSU and MDD, with 26 key genes in the total population, 6 in males and 7 in females. …”
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Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning by Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

“…Our findings suggest that these approaches may contribute to enhancing accuracy and reliability in the development of pattern identification tools.…”
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Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network by Mengjuan Xu, Xiang Chen, Yuwen Ruan, Xu Zhang

“…With the goal of promoting the development of myoelectric control technology, this paper focuses on exploring graph neural network (GNN) based robust electromyography (EMG) pattern recognition solutions. …”
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Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy by Jing Zhang, Lulu Cheng, Shan Jiang, Duosheng Zhu

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