Effect of Rainfall Pattern and Crack on the Stability of a Red Bed Slope: A Case Study in Yunnan Province by Zhenping Zhang, Xiaodong Fu, Qian Sheng, Dawei Yin, Yongqiang Zhou, Juehao Huang

“…The historic rainfall data of Mengla County from July to September in 2016 was utilized as the flux boundary in analyzing the seepage variation features and the stability of the engineering slope in the rainy season. …”
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The histological growth patterns in liver metastases from colorectal cancer display differences in lymphoid, myeloid, and mesenchymal cells by Gemma Garcia‐Vicién, Núria Ruiz, Patrick Micke, José Carlos Ruffinelli, Kristel Mils, María Bañuls, Natalia Molina, Miguel A. Pardo, Laura Lladó, Artur Mezheyeuski, David G. Molleví

“…Abstract Colorectal liver metastases grow following different histologic growth patterns (HGPs), classified as desmoplastic and nondesmoplastic (dHGP, non‐dHGP), being the latter associated with worst prognosis. …”
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Leveraging Diverse Cell-Death Patterns to Decipher the Interactive Relation of Unfavorable Outcome and Tumor Microenvironment in Breast Cancer by Yue Li, Ting Ding, Tong Zhang, Shuangyu Liu, Jinhua Wang, Xiaoyan Zhou, Zeqi Guo, Qian He, Shuqun Zhang

“…We investigated 13 PCD patterns to decipher their prognostic impact and mechanistic links to TME-driven outcomes. …”
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DNA methylation patterns in breast cancer, paired benign tissue from ipsilateral and contralateral breast, and healthy controls by Saya R. Dennis, Takahiro Tsukioki, Gannon Cottone, Wanding Zhou, Patricia A. Ganz, Mary E. Sehl, Yuan Luo, Seema A. Khan, Susan Clare

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The enigmatic diploid Chenopodium ucrainicum (Chenopodiaceae / Amaranthaceae s. l.): geographical, ecological, and phytosociological patterns as clues to its origin by Shynder O.I., Pashkevych N.A., Kharytonova I.P., Holovko O.V., Mandák B., Mosyakin S.L.

“…This study provides a detailed account of its presently known geographical distribution, ecological preferences, and phytosociological features, plus some further information of its morphology, based on field surveys conducted during 2021–2024 across central and western regions of Ukraine. …”
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Real‐World Analysis of Treatment Patterns in Limited‐Stage Small Cell Lung Cancer: Implications for Clinical Practice by Siyuan Yu, Xiaoyi Feng, Shengjie Li, Xiaoyan Liu, Xiaoxing Gao, Minjiang Chen, Jing Zhao, Wei Zhong, Yan Xu, Mengzhao Wang

“…Information was collected on clinicopathological features, cancer‐related treatments, laboratory test results, and clinical and prognostic data. …”
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The heterogeneity of genomic alterations, metastatic patterns and immune microenvironment in metastatic ovarian cancer originating from colorectal cancer by Chao Chen, Chao Chen, Jian Wang, Binjie Sun, Yuyan Zheng, Yuyan Zheng, Xiaoxu Ge, Xiaoxu Ge, Zhiyuan Gong, Zhiyuan Gong, Haochen Gu, Zhiwei Zhang, Zhiwei Zhang, Akao Zhu, Yingkuan Shao, Yeting Hu, Lijia Ma, Yini Li, Kefeng Ding, Kefeng Ding, Da Wang, Lifeng Sun

“…According to COSMIC signatures features, the CRCOM patients were divided into two groups, which are different in overall survival (OS) (median OS, 720 days vs 360 days, P = 0.074) and genetic alterations. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Then, the tensor decomposition and reconstruction algorithms are performed based on extracted feature variables to analyze their influence on travel patterns. …”
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Direct Pixel-Level Tightly Coupled Navigation Design With Dual-Pattern LED Markers for Spacecraft Proximity Operation by Jiyeon Lee, Sangkyung Sung

“…Additionally, a dual-pattern LED marker configuration is employed to overcome the limited field of view of the camera. …”
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Profiling urban water consumption patterns in Ho Chi Minh City using time series clustering method by Minh Trang Nguyen Thi, Minh Nguyet Nguyen, Quoc Thang Truong Tan, Le Ngoc Thien

“…By applying feature extraction and K-Means clustering, an unsupervised learning technique, this research identifies distinct water consumption patterns among 36 district metering areas in the study region. …”
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Design of a Microstrip Line Fed SIW Ring Antenna With Sixth-Order Circular Polarized Conical Pattern by Umar Fayyaz, Shahab Ahmad Niazi, Khaled Al-Jaloud, Waqar Ahmad Malik, Abdul Aziz, Rifaqat Hussain, Ali H. Alqahtani, Akram Alomainy

“…The dual feed single port mechanism successfully radiates the desired radiation pattern at 6.55 GHz, making the design suitable for satellite communication applications. …”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

“…Additionally, the use of Complete Local Binary Pattern (CLBP) technology for texture feature extraction, combined with VQGAN technology for accurate flame identification through sample reconstruction, underscores our innovative approach. …”
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Association Between Dietary Patterns and All-Cause Mortality in Individuals with Hypertension and Osteoporosis: A Retrospective Cohort Study by Guan J, Ding L, Wang Y, Zhu Z, Pan M, Du L, Yin N

“…The MeDS and AHEI-2010 were linked to overall mortality in adults without OS and HTN.Conclusion: The impacts of different dietary patterns were differences in multi-feature population. …”
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DriftShield: Autonomous Fraud Detection via Actor-Critic Reinforcement Learning With Dynamic Feature Reweighting by Jialei Cao, Wenxia Zheng, Yao Ge, Jiyuan Wang

“…This article presents DriftShield, a novel adaptive fraud detection framework that addresses these limitations through four key technical innovations: (1) the first application of Soft Actor-Critic (SAC) reinforcement learning with continuous action spaces to fraud detection, enabling simultaneous fine-grained optimization of detection thresholds and feature importance weights; (2) a dynamic feature reweighting mechanism that automatically adapts to evolving fraud patterns while providing interpretable insights into changing fraud strategies; (3) an adaptive experience replay buffer combining sliding windows with prioritized sampling to balance catastrophic forgetting prevention with rapid concept drift adaptation; and (4) an entropy-driven exploration framework with automatic temperature tuning that intelligently balances exploitation of known fraud patterns with discovery of emerging threats. …”
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Unsupervised learning of temporal features for word categorization in a spiking neural network model of the auditory brain. by Irina Higgins, Simon Stringer, Jan Schnupp

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Segmentalized amplitude normalization in feature extraction technique for diagnostics enhancement of bearing deterioration under varying speeds by Tian-Yau Wu, Yo-Sen Lin

“…In this paper, the research focuses on conducting an in-depth analysis of signal signatures, followed by providing a physical insight into feature extraction. Consequently, it enables the application of simple machine learning methods to accurately diagnose various bearing defects, even when dealing with significantly different patterns in training and testing data due to varying rotation speeds. …”
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Magnetic resonance imaging features of intrahepatic bile duct adenoma: a 10-year retrospective study by Ge Sun, Jiamei Yao, Huai Chen, Mengsu Zeng, Mingliang Wang

“…Conclusion The MRI features of BDA included small lesions near the liver capsule, characterized by distinct morphology and enhancement patterns, alongside elevated ADC values that distinguish them from malignant hepatic lesions. …”
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Integrating the Prior Shape Knowledge Into Deep Model and Feature Fusion for Topologically Effective Brain Tumor Segmentation by Salma Asif, Ahmad Raza Shahid, Kiran Aftab, Syed Ather Enam

“…By incorporating prior shape information, our proposed model guides the segmentation process, resulting in more precise delineation of tumor regions and mitigating the effect of fragmented structures or patchy patterns. The proposed technique leverages the strength of ConvNeXt to capture the local features and multi-headed self-attention to capture the global features without using the entire transformer encoder to keep the model less complex. …”
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Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph by Imam Dad, JianFeng He, Zulqarnain Baloch

“…Our methodology leverages Gray-Level Co-occurrence Matrix (GLCM) features to quantify tissue texture, constructs a Sparse Cosine Similarity Matrix (SCSM) to model spatial relationships, and employs DeepWalk embeddings to capture topological patterns. …”
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On the local features of the Sargatka Culture settlements in the Tobol River basin (based on pottery complex of the Rafailovo settlement) by Prokonova M.M., Matveeva N.P.

“…The ware of the eastern area features carved ornamentation; in particular, the ornamentation of the early complexes is characterized by vessels with “pearls”, alien to other areas, probably dating back to the late Irmene tradition, and the later sites demonstrate an increasing proportion of vessels with dimpled and pricked patterns, possibly originating from the Bogochanovo Culture. …”
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