A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

“…While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they often lack geometric priors and global object information, limiting their accuracy in complex scenarios. Variational methods like active contours provide geometric priors and theoretical interpretability but require manual initialization and are sensitive to hyper-parameters. …”
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Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…For this purpose, a novel hybrid approach combined with multiscale dominant ingredient chaotic analysis, kernel extreme learning machine (KELM), and adaptive mutation grey wolf optimizer (AMGWO) is proposed. Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
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‘Nous fêterons’ or ‘On va fêter’? by Valerie Hekkel, Friederike Schulz, Marta Lupica Spagnolo

“…These findings highlight the potential and limitations of current LLMs in capturing age-specific variation while encouraging further integration of sociolinguistic methods into LLM research. …”
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Cost evaluation of acute ischemic stroke in Latin America: a multicentric studyResearch in context by Luiza Borba Dittrich, Ana Paula Beck da Silva Etges, Joana Siqueira de Souza, Miriam Allein Zago Marcolino, Eva Rocha, Pablo Amaya, Miguel A. Barboza, Andrés Gaye Saavedra, Gonzalo Pérez Hornos, Carlos Abanto, Ana Lucía Castillo-Soto, Natalia Llanos-Leyton, Virginia Pujol Lereis, María Soledad Rodriguez Pérez, Matías Alet, Victor Navia, Solange Lopez, Antonio Arauz, Fabiola Serrano, Bruna Chwal, Leonardo Augusto Carbonera, Raul Gomes Nogueira, Gustavo Saposnik, Carisi Anne Polanczyk, Sheila Cristina Ouriques Martins, Ana Cláudia de Souza

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Research on Climate Drivers of Ecosystem Services’ Value Loss Offset in the Qinghai–Tibet Plateau Based on Explainable Deep Learning by Wenshu Liu, Chang You, Jingbiao Yang

“…To address these challenges, this study focuses on the QTP and employs a modified ESV loss deviation model, integrated with explainable deep learning techniques (LSTM-SHAP), to quantify and analyze ESV loss deviations and their climate drivers from 1990 to 2030. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…To address this issue, we propose the high-resolution U-shaped mamba network (HRUMamba), which integrates multiple innovations to enhance segmentation performance under imbalanced conditions. …”
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Cryogels with controllable physico-chemical properties as advanced delivery systems for biomedical applications by Mucong Li, Xuyan Wei, Jiaqian You, Jian Feng, Xiuyu Liu, Jing Zhou, Qianju Wu, Yidi Zhang, Yanmin Zhou

“…Consequently, cryogels modify drug release dynamics via their unique structure and integrate multiple release control mechanisms, thereby achieving spatiotemporal controlled delivery. …”
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COMPARATIVE CHARACTERISTICS OF THE EFFECTIVENESS OF DIRECT AND INDIRECT RESTORATIONS ON TEETH WITH DISCOLORATION by I.V. Zhyvotovskyi, Yu.I. Sylenko, M.V. Khrebor

“…The obtained results were processed by the method of variational statistics using Student's test. …”
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Iterative Analysis of Nonlinear BBM Equations under Nonsingular Fractional Order Derivative by Gauhar Ali, Israr Ahmad, Kamal Shah, Thabet Abdeljawad

“…The concerned tool is formed when the Adomian decomposition method is coupled with some integral transform like Laplace. …”
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Selection and appointment of presidents of medical universities in Iran: Bridging reality and ideal through global and local evidence. by Leila Doshmangir, Mohammadhossein Somi, Sajad Lak, Neda Kabiri, Hossein Ebrahimipour, Omid Barati, Mohammadreza Amiresmaili, Mohammad Bazyar

“…Interviews conducted from September 2024 to November 2024, were carried out with stakeholders from a diverse range, including university presidents, health ministers, healthcare managers, decision-makers, faculty members and key planners within the academic sector, whom were selected using purposive sampling method with maximum variation. A question guide was used, the main question of which included: essential characteristics and competencies of university president, prioritized criteria for decision making, feasibility of evidence-based decision-making, the process of selecting and appointing university presidents, and the strengths and weaknesses of this process. …”
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A qualitative study of how clinicians reach agreement in perioperative pathway development: the Consensus Model for Standardising Healthcare by Lisa Pagano, Janet C. Long, Emilie Francis-Auton, Andrew Hirschhorn, Gaston Arnolda, Jeffrey Braithwaite, Mitchell N. Sarkies

“…Specifically, we 1) describe how local consensus discussions are operationalised; 2) identify what guides decision making and consensus between clinicians; and 3) formulate explanatory mechanisms and identify determinants that facilitate consensus discussions. Methods A qualitative, modified grounded theory study was conducted in one private hospital in metropolitan Sydney, Australia. …”
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Association between the postoperative glycemic variability and mortality after craniotomy: a retrospective cohort study and development of a mortality prediction model by Yuanshuo Ge, Guangdong Wang, Yun Huang, Yaxin Zhang

“…BackgroundGlycemic variability (GV), typically quantified by the coefficient of variation (CV) and the root mean square of successive differences (rMSSD), has been recognized as a potential predictor of poor outcomes in critically ill patients. …”
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Dysregulation of protein degradation and alteration of secretome in α-synuclein-exposed astrocytes: implications for dopaminergic neuronal dysfunction by Aishwarya Raj, Roon Banerjee, Vikram Holla, Nitish Kamble, Ravi Yadav, Pramod Kumar Pal, Indrani Datta

“…This study underscores the criticality of integrating astrocytes into treatment paradigms in synucleinopathies.…”
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Study on the Thermal Performance of Inner and Outer Wall Surfaces Based on FDM-ATSCM by Li Honglian, Cao Wenhui, Jiang Suwan, Sun Yinghao, Zhu Xinrong

“…Such models often struggle to handle dynamic wall temperature variations driven by solar radiation, ambient temperature, humidity, and wind speed. …”
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Uncovering intra-daily intertidal biofilm dynamics in a shorebird foraging hotspot with hourly UAV multispectral imagery acquisitions by Tristan J. Douglas, Nicholas C. Coops, Mark C. Drever, Brian P.V. Hunt, Tara G. Martin, Robert W. Elner

“…UAV-derived data were integrated with climate variables to model MPB variability and quantify diel biofilm patch dynamics. …”
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Automatic Endoscopic Navigation for Monocular Depth and Ego-Motion Estimation in Wireless Capsule Endoscopy Through Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…To address these issues, we introduce a novel self-supervised neural network framework that integrates a dual-attention mechanism within a modified ResNet. …”
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Constitutive model of metal rubber material considering plastic accumulation behavior by FENG Zhipeng, YANG Fang, FU Hailong, AI Shigang, WANG Yue, YUAN Liangyang

“…;In terms of theoretical modeling, this research innovatively integrates micro-unit spring theory with the Ludwik plasticity model to establish a constitutive model capable of precisely characterizing the nonlinear mechanical behavior of metal rubber. …”
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The Silent Risks of Sleepless Nights: Can short sleep duration be considered a significant risk factor for hypertension? - A literature review by Marcel Chudzikowski, Patryk Dudek, Klaudia Łuczak, Agnieszka Pawlik, Justyna Pięta, Agata Prokopiuk, Joanna Prus, Hanna Sitarek, Adrianna Tabeau, Wiktoria Ulicka

“…Summary Short sleep duration is a modifiable yet often overlooked risk factor for hypertension. …”
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Hypertension and Atrial Fibrillation: Bridging the Gap Between Mechanisms, Risk, and Therapy by Ibrahim Antoun, Georgia R. Layton, Ali Nizam, Joseph Barker, Ahmed Abdelrazik, Mahmoud Eldesouky, Abdulmalik Koya, Edward Y. M. Lau, Mustafa Zakkar, Riyaz Somani, Ghulam André Ng

“…<i>Material and Methods:</i> we conducted a literature search regarding the shared mechanisms, risks and treatments of hypertension and atrial fibrillation. …”
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Development of indicator system for early warning of clinical nursing critical values in general wards: a Delphi study by Weixin Xiong, Fenglan Xie, Qin Li, Ying Chen, Hongmei Yang, Jieli Wu, Jianying Li, Zhihao Chen, Xiaoqin Hu, Lijing Hu

“…There remains a lack of consensus regarding early warning systems for critical nursing values in general wards, along with a shortage of effective and practical quantitative indicators for nursing risk prevention. Methods This study employed an integrative research approach combining literature review, theoretical analysis, and qualitative methodology. …”
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