Universal Nonthermal Power-law Distribution Functions from the Self-consistent Evolution of Collisionless Electrostatic Plasmas by Uddipan Banik, Amitava Bhattacharjee, Wrick Sengupta

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Acoustic emission characteristics and damage evolution of coal gasification slag-based geopolymer cement grouting materials by Wenyue QI, Yanli HUANG, Qingxin ZHAO, Xiaotian LIU, Yongji HAN

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Integrating SAM priors with U-Net for enhanced multiclass cell detection in digital pathology by Zheng Wu, Ji-Yun Yang, Chang-Bao Yan, Cheng-Gui Zhang, Hai-Chao Yang

“…Extensive experiments on public datasets reveal that the proposed method significantly surpasses both standalone U-Net and approaches that merely augment inputs by overlaying prior features onto color channels. This advancement not only enhances the utility of large models in medical applications but also lays the groundwork for the evolution of intelligent pathological diagnostic technologies.…”
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Langerhans-Cell Histiocytoses - Epidemiology, Classification, Clinical Features, Diagnosis, Complications, Treatment and Prognosis by Vera Papochieva, Dimitrinka Miteva, Penka Perenovska, Guergana Petrova

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SPECIFIC FEATURES OF PEEP ADJUSTMENT IN THE PATIENTS WITH ACUTE RESPIRATORY DISTRESS SYNDROME AND INTRACRANIAL HYPERTENSION by A. V. Oshorov, A. A. Polupan, A. S. Busankin, N. Yu. Tarasova

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An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification by Hang Xu, Bing Xue, Mengjie Zhang

“…Abstract Evolutionary algorithms have become a widely-used approach for solving multi-objective optimization problems over the last decades, while feature selection in classification is also a discrete bi-objective optimization problem that aims at simultaneously minimizing the classification error and the number of selected features. …”
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The significance of follow-up in patients with dysmorphic features: a case from clinical practice by Mariya Levkova, Milena Stoyanova, Mari Hachmeriyan

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AI-based tool wear prediction with feature selection from sound signal analysis by Viet Q. Vu, Tien-Ninh Bui, Minh-Quang Tran

“…One of the core elements of this evolution is tool wear monitoring. In automated production systems, the condition of tools greatly influences production efficiency, cutting stability, and the quality of machined surfaces. …”
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Can Implicit Solvation Methods Capture Temperature Effects on the Infrared Features of Astrophysical Ices? by Daniel A. B. Oliveira, Víctor S. A. Bonfim, Felipe Fantuzzi, Sergio Pilling

“…We investigate the ability of implicit solvation approaches to capture temperature-dependent infrared spectral features of CO₂ molecules embedded in astrophysical ice analogues, comparing their performance to that of explicit ice models and experimental data. …”
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CB-MTE: Social Bot Detection via Multi-Source Heterogeneous Feature Fusion by Meng Cheng, Yuzhi Xiao, Tao Huang, Chao Lei, Chuang Zhang

“…Traditional bot detection methods, constrained by single-source features, often fail to capture the complete behavioral and contextual characteristics of social bots, especially their dynamic behavioral evolution and group coordination tactics, resulting in feature incompleteness and reduced detection performance. …”
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A complex network perspective on spatiotemporal evolution of extreme precipitation over the middle and lower reaches of the Yangtze river by Ziyi Hu, Aixia Feng, Changgui Gu, Peng Zhao, Qiguang Wang

“…Traditional statistical analyses to study extreme precipitation often tend to separate temporal and spatial features, and spatial features are often studied based on complex networks, with few studies conducted from a combined temporal and spatial perspective. …”
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Impact of Novel Nozzles on Atomization Flow Field and Particle Features: Simulation and Experimental Validation by Kai Wang, Zhongliang Zhou, Wenhai Sun, Yanhui Zhang, Suode Zhang, Jianqiang Wang

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The functional-semantic features of phraseological units containing words with the etymon god- in the Russian language by Yu.K. Lukoyanova

“…The purpose of the research is to trace the semantic transformations of lexemes with the etymon god-, as part of phraseological units, and to study the features of using phraseological units with the specified words. …”
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Correlation Between Macroscopic Features of Ischemic Skin Injury and Subdermal Plexus Damage in Lipoabdominoplasty by Giuliano B. Borille, MD, Gustavo A. Pereira Filho, MSc, Mariana Zancanaro, MD, Vinicius Ribeiro, MD, Renato Giannini, MD

“…Until now, these ischemic lesions have not been classified from a pathological macroscopic perspective, nor have their distinct patterns of presentation and evolution been described. This lack of classification has made understanding and appropriate management more challenging. …”
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Integrating SNP data to reveal the adaptive selection features of goat populations in extreme environments by Wannian Wang, Ke Cai, Mengdan Fan, Zhixu Pang, Yangyang Pan, Lifen Cheng, Liying Qiao, Ruizhen Wang, Wenzhong Liu, Jianhua Liu

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Spectral Features of the Energy-containing Range and the Inertial Range in Fast Solar Wind Turbulence by Honghong Wu, Shiyong Huang, Liping Yang, Jiansen He, Zhigang Yuan

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Scale-Dependent Inverse Temperature Features Associated With Crashes in the US and Japanese Stock Markets by Peter Tsung-Wen Yen, Siew Ann Cheong

“…In the dynamics of β, the most prominent features are peaks at various times. We identified five esoteric and seven characteristic peaks and studied how they change with scale ϵ. …”
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Constraining the timing and processes of pediment formation and dissection: implications for long-term evolution in the Western Cape, South Africa by J. C. Richardson, V. Vanacker, D. M. Hodgson, M. Christl, A. Lang

“…<p>Pediment surfaces are a widespread feature of the southern African landscape and have long been regarded as ancient landforms. …”
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Data Analysis of Globular Cluster Harris Catalogue in View of the King Models and Their Dynamical Evolution. II. Observational Evidences by Marco Merafina, Daniele Vitantoni

“…We summarize some observational comparison concerning the features of globular clusters (GCs) population in connection to the evolution of King models. …”
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Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation by Soyul Han, Jaejin Seo, Sunmook Choi, Taein Kang, Sanghyeok Chung, Seungeun Lee, Seoyoung Park, Seungsang Oh, Il-Youp Kwak

“…To address this issue, we propose a data augmentation technique called Frequency Feature Masking (FFM), which randomly masks frequency bands. …”
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