Classification of Wetlands in the Liaohe Estuary Based on MRMR-RF-CV Feature Preference of Multisource Remote Sensing Images by Lina Ke, Shilin Zhang, Yao Lu, Nan Lei, Changkun Yin, Qin Tan, Lei Wang, Daqi Liu, Quanming Wang

“…This study utilized the Google Earth Engine cloud platform alongside Sentinel-1 synthetic aperture radar data, Sentinel-2 multispectral data, digital elevation model data, and unmanned aerial vehicle data to develop a feature preference algorithm integrating the minimum redundancy maximum relevance (MRMR) and random forest (RF) methods. …”
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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…This transformation improves feature extraction by capturing more discriminative patterns, leading to superior performance compared to conventional methods. …”
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Transcriptional features of autoimmune diabetes: differentially expressed genes in CD4+ and CD8+ subpopulations of blood T cells by I. I. Golodnikov, E. S. Podshivalova, V. I. Chechekhin, A. V. Zubritsky, A. A. Matrosova, Y. V. Dvoryanchikov, M. D. Samsonova, E. K. Markelova, Y. A. Medvedeva, T. V. Nikonova, E. V. Bondarenko, S. V. Popov, I. R. Minniakhmetov, M. V. Shestakova

“…However, the molecular mechanisms underlying its unique clinical and pathogenetic features remain insufficiently studied. Identifying differentially expressed genes (DEGs) in LADA compared to T1DM is essential for developing more personalized diagnostic and therapeutic approaches.OBJECTIVE: To identify DEGs in peripheral blood mononuclear cells (PBMCs) of patients with LADA compared to those with T1DM, and to evaluate differences in DEGs between these patient groups and healthy volunteers.MATERIALS AND METHODS: The study included 60 participants (23 T1DM patients with disease duration of up to 1 year, 15 LADA patients with disease duration of up to 5 years, and 22 healthy volunteers). …”
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A neuromorphic model of active vision shows how spatiotemporal encoding in lobula neurons can aid pattern recognition in bees by HaDi MaBouDi, Mark Roper, Marie-Geneviève Guiraud, Mikko Juusola, Lars Chittka, James AR Marshall

“…The model demonstrates robust performance in pattern recognition, implying a similar encoding mechanism in insects. …”
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Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma by Zhichao Zuo, Jinqiu Deng, Wu Ge, Yinjun Zhou, Haibo Liu, Wei Zhang, Ying Zeng

“…Abstract Background This study aims to quantify intratumoral heterogeneity (ITH) using preoperative CT image and evaluate its ability to predict pathological high-grade patterns, specifically micropapillary and/or solid components (MP/S), in patients diagnosed with clinical stage I solid lung adenocarcinoma (LADC). …”
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Quantifying regional differentiation of yardang groups using terrain texture indices by Haoyang Jiao, Jianhua Cheng, Fayuan Li, Junfei Ma, Xinyu Xu, Xin Yang, Guoan Tang, Hong Wei

“…With yardang research advancing into Earth system science and deep space exploration, there is increasing demand for studies on large-scale spatial patterns. Although texture analysis techniques effectively characterize terrain textures of macro-scale landforms with waveform features, such techniques do not fully capture yardang terrain textures with distinctive surface features. …”
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An overview of GabRat edge disruption and its new extensions for unbiased quantification of disruptive camouflaging patterns using randomization technique. by Masahiko Tanahashi, Min-Chen Lin, Chung-Ping Lin

“…Disruptive colorations are camouflaging patterns that use contrasting colorations to interrupt the continuity of object's edge and disturb the observer's visual recognition. …”
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Structural Fingerprinting of Crystalline Materials from XRD Patterns Using Atomic Cluster Expansion Neural Network and Atomic Cluster Expansion by Xiao Zhang, Xitao Wang, Shunbo Hu

“…By integrating E3NN with atomic cluster expansion (ACE) techniques, a dual-tower contrastive learning model has been developed, mapping crystal structures and XRD patterns to a continuous embedding space. …”
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Delineating Mixed Urban “Jobs-Housing” Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery by Yao Yao, Chen Qian, Ye Hong, Qingfeng Guan, Jingmin Chen, Liangyang Dai, Zhangwei Jiang, Xun Liang

“…The spatial distribution pattern of jobs and housing plays a vital role in urban planning and traffic construction. …”
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Assessment of future water availability and seasonal patterns of dry seasons under climate change in Cidanau Watershed Banten Province, Indonesia by Septian Fauzi Dwi Saputra, Budi Indra Setiawan, Chusnul Arif, Satyanto Krido Saptomo, Atiqotun Fitriyah, Tasuku Kato

“…This study highlights the anticipated decline in water availability and shifting dry season pattern, supporting decision-maker in developing adaptive and mitigation strategies for future climate challenges.…”
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Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

“…For data analysis in the MATLAB, the software for automated evaluation of electromyographic and biomechanical motion patterns was developed. The algorithm allows one to calculate time, spatial and spatial-to-time parameters of motion, symmetry of movements of the left and right limbs, and also stability of repetition of biomechanical movement pattern. …”
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A Multiscale Approach to Identifying Vernacular Landscape Pattern Characteristics in River Basins: A Case Study of the Liuxi River, Guangzhou by Nanxi Wang, Yan Zha, Zhongxiao Lin

“…Focusing on two scales, “basin” and “vernacular unit”, this study proposes a framework for identifying vernacular landscape patterns. This framework includes scale definition, pattern identification, feature description, and factor analysis. …”
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Effectiveness and quality of mobile applications for pregnancy monitoring: A systematic review by restu pangestuti, Adi Heru Sutomo, Prima Dhewi Ratrikaningtyas

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Incidence rate and clinical characteristics of seasonal affective disorders in senior medical students by I. I. Ukraintsev, E. D. Schastnyy, N. A. Bokhan

“…To study the incidence rate, clinical features, and prognosis of seasonal affective disorder (SAD) in senior (6th-year) medical students.Materials and methods. …”
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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

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Longitudinal transcriptome analysis reveals distinct gene expression patterns in traditional Chinese medicine syndromes of upper respiratory tract infections by Hao Zou, Hao Zou, Changrui Huang, Changrui Huang, Qinqi Feng, Qinqi Feng, Bang Yu, Bang Yu, Jian Liu, Xinyang Shu, Xiaolu Nie, Hongchun Zhang, Xiaohui Zou

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METHOD OF SURGICAL GUIDE MANUFACTURING FOR DENTAL IMPLANTATION by І.V. Pavlish, V.М. Dvornik, N.О. Riabushko

“… • Lead through of computed tomography with scan- pattern. • Installation of guiding shells in-to the template. …”
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The optimized Maxent model reveals the pattern of distribution and changes in the suitable cultivation areas for Reaumuria songarica being driven by climate change by Xinyou Wang, Zhengsheng Li, Lijun Zhang, Yanlong Wang, Ying Liu, Yushou Ma

“…Results show that setting parameters to RM (regulation multiplier) = 4 and FC (feature combination) = LQHPT yields a model with good accuracy and high reliability. …”
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Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada by Xi Wang, Xiaomei Li, Jinming Sha, Hao Zhang, Eshetu Shifaw, Xulin Guo, Shuhui Lai, Jinliang Wang

“…This study aims to compare the characteristics of PLE spatial patterns and the trade-offs & synergies of PLE spaces between Fuzhou city, China and Saskatoon, Canada for developing the eco-city models. …”
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STEERABLE TOROIDAL BIFOCAL LENS-ARRAY ANTENNA IN 57–64 GHZ RANGE by Alexander A. Maltsev, Valentin M. Seleznev, Alexander S. Rulkov, Olesya V. Bolkhovskaya

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