Imaging characteristics of renal epithelioid angiomyolipoma and its correlation with risk stratification by Jin Zhou, Guo-chu Qin, Ting-ting Chen, Le Cheng, Li Zhu

“…We retrospectively reviewed the radiographic features and analyzed the differences between tumors with a cut-off diameter of 40 mm. …”
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Profiles of immune infiltration in colorectal cancer and their clinical significant: A gene expression‐based study by Yongfu Xiong, Kang Wang, He Zhou, Linglong Peng, Wenxian You, Zhongxue Fu

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Decoding the shadows: multi-modal identity profiling in darknet markets using latent behavior feature fusion by Xuan Zhang, Pengfei Li, Xin Tong, K. P. Chow, DeYu Yuan, Si Chen, Bo Jin

“…This framework uncovers subtle behavioral patterns, such as transaction-related features, vendor posting times, pricing strategies, and product categories, which are crucial for profiling vendors whose activities are often concealed. …”
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Relating natural image statistics to patterns of response covariability in macaque primary visual cortex by Amirhossein Farzmahdi, Adam Kohn, Ruben Coen-Cagli

“…Our study establishes a precise connection between V1 correlations and natural scene statistics, suggesting patterns of covariability are a feature of probabilistic representations of scenes.…”
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EEG dynamical features during variable-intensity cycling exercise in Parkinson’s disease by Zahra Alizadeh, Emad Arasteh, Maryam S. Mirian, Matthew A. Sacheli, Matthew A. Sacheli, Danielle Murray, Danielle Murray, Silke Appel-Cresswell, Silke Appel-Cresswell, Martin J. McKeown, Martin J. McKeown

“…Notably, PD patients exhibited more rigid, consistent response patterns compared to healthy controls (HC), who showed greater flexibility and variability in their neural adaptation across intensities.ConclusionThis study highlights the feasibility of using EEG-derived features to track exercise intensity in PD patients, identifying specific neural markers correlating with varying intensity levels. …”
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Co-occurrence patterns based fruit quality detection for hierarchical fruit image annotation by Sangita B. Nemade, Shefali P. Sonavane

“…The co-occurrence patterns are obtained based on the visual features of the selected fruit. …”
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Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios by Bedatri Moulik, Sanmukh Kaur, Muhammad Ijaz

“…In the approach, first, labels are defined based on statistical features related to speed followed by the creation of representative driving patterns (RDPs). …”
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Energy-based jamming pattern open set recognition via spiking wavelet transformer. by Xincheng Zhong, Junbiao Cui, Zhuangwei Ji

“…The framework begins by extracting high-resolution time-frequency features through the SWT, effectively capturing the intricate temporal and spectral patterns of jamming signals. …”
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Investigation of the Components of Patterns Providing Diversity in the Qur’an Numbered 487 in the Alanya Museum Inventory by Ummuhan Kaçar, Muhammet Bilgen

“…Factors of motifs visible in patterns such as form, size, frequency, variety, balance, spacing, etc., reflect unique features of artistic styles. …”
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Intelligent pattern design using 3D modelling technology for urban sculpture designing by Wei Wan

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Power Quality Coupling Assessment Based on Data-Driven under Multiple Pollution Patterns by Jian ZHANG, Hao YU, Jianquan LIANG, Yue WANG, Heqian LIU

“…And then, a pattern distance measurement method is developed to implement pattern matching on the pattern features and to analyze the coupling of disturbance time series among nodes under different pollution patterns, thereby determining the interplay of disturbance among nodes. …”
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Influence of Surface Textures and Patterns Produced by Laser Ablation on Blood Compatibility of Stainless Steel by Jialin Dong, Manuela Pacella, Yang Liu

“…Abstract Laser surface texturing (LST) is applied to modify the morphology of surface topographic features, inducing the corresponding effects on surface chemistry and wettability. …”
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Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks by Fubing Zhang, Qun Sun, Wenjun Huang, Youneng Su, Jingzhen Ma, Ruixing Xing

“…Current building pattern recognition methods are often based on a shape index that can only characterize shape features from one aspect, resulting in significant errors. …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…A pattern recognition method based on computer vision was developed for the identification of Daiqu large yellow croaker. …”
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Chest CT in Pulmonary Fibrosis: A Narrative Review of Imaging Patterns and Their Prognostic Significance by Mehrshad Dabbagh, Mohammad Amin Shajareh Pour Salavati, Yas Zeinaly Parizi

“…Characteristic HRCT findings, such as honeycombing, reticulation, ground-glass opacities, and traction bronchiectasis, were analyzed in the context of usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP) patterns. UIP pattern on HRCT is strongly associated with IPF and confers a worse prognosis compared to NSIP or other non-UIP patterns. …”
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Effects of attention on the asymmetric serial dependences between form and motion patterns and their computational processes by Qian Sun, Qian Sun, Si-Yu Wang, Meng-Ying Sun, Fan-Huan You, Ping Ran, Qi Sun, Qi Sun

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Determining the suitability of using eye wrinkle patterns for the accurate identification of individual black rhinos by Felix Patton, Martin Jones

“…Eye wrinkle patterns have received little attention but were found to be useful when separating a large number of photographs of 19 captive rhinos particularly for distinguishing individual sub-adults where other features such as horn length and shape were very similar. …”
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Method for recognizing abnormal operation patterns in hydraulic support machine-following and shifting control by MA Zhitao, FU Xiang, LI Haojie, NIU Penghao, JIA Yifan

“…The remaining four stroke-related features were input into the decision tree model to identify stroke anomaly patterns. …”
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Efficient Robot Localization Through Deep Learning-Based Natural Fiduciary Pattern Recognition by Ramón Alberto Mena-Almonte, Ekaitz Zulueta, Ismael Etxeberria-Agiriano, Unai Fernandez-Gamiz

“…This paper introduces an efficient localization algorithm for robotic systems, utilizing deep learning to identify and exploit natural fiduciary patterns within the environment. Diverging from conventional localization techniques that depend on artificial markers, this method capitalizes on the inherent environmental features to enhance both accuracy and computational efficiency. …”
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Spatial pattern evolution and driving forces of ecosystem service value in the Yellow River Basin by Yuan Li, Xiao Hui Wang, Yu Xuan Wan, Bin Xu

“…The Yellow River Basin is one of the basins characterized by China’s most complex geomorphological features. Investigating how the spatial pattern evolution of land types affects ecosystem service value (ESV) provides critical guidance for enhancing land resource management and ecological conservation in the Yellow River Basin. …”
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