Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz by Cong Wang, Ke Che, Guanglei Zhang, Hao Yu, Junsong Wang

“….), a traditional Chinese herb, remains systematically unexplored. This study integrates metabolomics, machine learning, and ecological factor analysis to elucidate the geographical variation patterns and regulatory mechanisms of secondary metabolites in <i>T. chinense</i> Turcz. from Anhui, Henan, and Shanxi Provinces. …”
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A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach by Kanak N. Moharir, Chaitanya Baliram Pande, Rabin Chakrabortty, Malay Pramanik, Balamurugan Paneerselvam, Okan Mert Katipoğlu, Subodh Chandra Pal, Miklas Scholz, Krishna Kumar Yadav, Lamjed Mansour, Mohamed Elsahabi

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Patients Receiving Integrative Medicine Effectiveness Registry (PRIMIER) of the BraveNet practice-based research network: Results of the chronic pain cohort by Jeffery A. Dusek, Qi Gao, Ryung S. Kim, Donald I. Abrams, Benjamin Kligler, Natalie L. Dyer, Kathryn Hansen, Eric J. Roseen, M. Diane McKee

“…Our purpose was to conduct a multi-site prospective, practice-based, observational evaluation of patient reported outcomes in chronic pain patients. Methods: This study took place at seventeen BraveNet Practice Based Research Network integrative medicine clinics. …”
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Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation by Hao Peng, Sen Shen, Haichao Zhang, Fei Wang, Fawang Guo, Ruige Zhang

“…To overcome these limitations, this study proposes an enhanced Bayesian Deep Neural Network (BDNN) tailored for flood forecasting, effectively integrating Variational Inference (VI), Monte Carlo (MC) Dropout, and a Hierarchical Attention Mechanism. …”
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Construction of Carbon Functional Zone in the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta Based on Carbon Density Correction by Tian ZHANG, Zhen SHEN, Tingting SU, Daixin DAI

“…The objectives are to overcome the limitations of static carbon density assumptions inherent in traditional methodologies and to bridge the gap between theoretical carbon storage models and practical governance strategies, thereby identifying and providing a framework for regional carbon management.MethodsTo achieve these objectives, the research develops a novel carbon density correction method that integrates climatic factors and land use characteristics, overcoming the limitations of fixed carbon density values in traditional approaches. …”
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Spatiotemporal Evolution of Precipitation Concentration in the Yangtze River Basin (1960–2019): Associations with Extreme Heavy Precipitation and Validation Using GPM IMERG by Tao Jin, Yuliang Zhou, Ping Zhou, Ziling Zheng, Rongxing Zhou, Yanqi Wei, Yuliang Zhang, Juliang Jin

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Comparative and developmental anatomy of the fibularis brevis muscle: morphological variants and their clinical significance by Łukasz Olewnik, Łukasz Olewnik, Ingrid C. Landfald, Ingrid C. Landfald, Daria Domosławska, Daria Domosławska, Kacper Ruzik, Kacper Ruzik, George Triantafyllou, George Triantafyllou, Maria Piagkou, Maria Piagkou, Teresa Vázquez, Teresa Vázquez

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Global burden and trend of rheumatic heart disease among women of childbearing age, 1990–2021, with projection to 2040 by Yingyi Chen, Binjie Deng, Yeting Nie, Weijin Xian, Yubin Li, Shaojie Yang

“…Abstract Objectives This study aims to assess the global burden, trends, and regional variations of rheumatic heart disease (RHD) among women of childbearing age (WCBA), contributing to better-targeted prevention and management strategies. …”
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De novo KCNK4 variant caused epilepsy with febrile seizures plus, neurodevelopmental abnormalities, and hypertrichosis by Hong-Jun Yan, Wen-Hui Liu, Min-Xing Xu, Peng-Yu Wang, Yu-Jie Gu, Hua Li, Jing Guo, Sheng Luo

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Regional irrigation water quality index for the Old Brahmaputra River, Bangladesh: A multivariate and GIS-based spatiotemporal assessment by Md. Touhidul Islam, Akash, Mst. Rimi Khatun, Nusrat Jahan, Md. Rakibul Islam, Deboneel Kundu Partho, Mohammad Golam Kibria, A.K.M. Adham

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Screening and comparison of in vitro-induced resistant and clinically resistant Stenotrophomonas maltophilia strains for eravacycline resistance-related genes by Jie Wu, Jiarong Song, Junchang Cui

“…ObjectiveTo identify genes related to eravacycline resistance in Stenotrophomonas maltophilia (Sm) and to provide a theoretical basis for the study of eravacycline resistance mechanisms in Sm and the development of new antibiotics.MethodsThe study employed an integrated omics approach: (1) In vitro antimicrobial susceptibility profiling via broth microdilution to determine baseline MICs for eravacycline and comparator drugs; (2) Induction of resistance in clinical Sm isolates (WJ_4, WJ_14, WJ_18) with low eravacycline MICs through serial passage in escalating drug concentrations; (3) Transcriptome sequencing (RNA-seq) and whole-genome sequencing (WGS) of in vitro-induced resistant strains (WJ_4a, WJ_14a, WJ_18a) and a clinical high-MIC isolate (WJ_97); (4) Bioinformatics analyses, including differential gene expression screening (with |log2(fold change)| &gt; 2 and FDR-adjusted p &lt; 0.05), SNP detection via GATK, and copy number variation (CNV) quantification using CCNE-acc to identify and compare resistance-related genetic alterations.ResultsStable eravacycline-resistant strains were successfully induced, exhibiting 8- to 32-fold MIC increases. …”
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Stability Evaluation Method for Rock Slope-Anchorage Systems Based on Genetic Algorithms and Discrete Element Analysis by Peng Xia, Bowen Zeng, Yiheng Pan

“…Based on the results from discrete element analysis, the proposed method assesses the dynamic variation of multi-field data within the rock slope anchorage system, facilitating a comprehensive stability evaluation. …”
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A new method to improve the power quality of photovoltaic power generation based on 24 solar terms by Qingqing Li, Wangjie Pan, Wangwang Jin, Qian Li, Zede Liang, Yuan Li

“…It was validated that the proposed grid connection method increases power grid stability by 17.75%. The average grid connection method developed in this paper, which more accurately aligns with seasonal solar radiation variations, contributes to advancing grid-connected PV systems and provides a practical strategy for large-scale PV power integration.…”
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Ecosystem, spatial and trophic dimensions of niche partitioning among freshwater fish predators by Milan Říha, Lukáš Vejřík, Rubén Rabaneda-Bueno, Ivan Jarić, Marie Prchalová, Ivana Vejříková, Marek Šmejkal, Petr Blabolil, Martin Čech, Vladislav Draštík, Michaela Holubová, Tomáš Jůza, Karl Ø. Gjelland, Zuzana Sajdlová, Luboš Kočvara, Michal Tušer, Jiří Peterka

“…This study highlights the importance of integrating spatial and trophic analyses to understand predator interactions in aquatic ecosystems.…”
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YOLO-OHFD: A YOLO-Based Oriented Hair Follicle Detection Method for Robotic Hair Transplantation by Hui Wang, Xin Liu

“…YOLO-OHFD incorporates the ECA-Res2Block in its feature extraction network to manage occlusions and hair follicle orientation variations effectively. A Feature Alignment Module (FAM) is embedded within the feature fusion network to ensure precise multi-scale feature integration. …”
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Multi-Timescale Voltage Control Method Using Limited Measurable Information with Explainable Deep Reinforcement Learning by Fumiya Matsushima, Mutsumi Aoki, Yuta Nakamura, Suresh Chand Verma, Katsuhisa Ueda, Yusuke Imanishi

“…This study proposes a Machine Learning (ML)-based control method for sub-transmission grids, integrating long-term LRT tap-changing with short-term reactive power control of PCSs. …”
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Mapping Pressure Surge Source in Urban Water Networks: Integrating Low‐ and High‐Frequency Pressure Data With an Illustrative Real Case Study by S. Meniconi, A. Rubin, L. Tirello, A. Doro, B. Brunone, C. Capponi

“…This integrated approach aims to pinpoint the source and characterize potentially dangerous pressure variations. …”
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Integrated Improved Complete Ensemble Empirical Mode Decomposition and Continuous Wavelet Transform Approach for Enhanced Bearing Fault Diagnosis in Noisy Environments by Mahesh Kumar Janarthanan, Andrews Athisayam, Murali Karthick Krishna Moorthy, Gowtham Sivakumar, Saravanan Poornalingam

“…This paper portrays a unique method for bearing fault identification in high-noise environments by integrating Improved Complete Ensemble Empirical Mode Decomposition (ICEEMD) and Continuous Wavelet Transform (CWT). …”
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Enhanced Dynamic Control for Flux-Switching Permanent Magnet Machines Using Integrated Model Predictive Current Control and Sliding Mode Control by Mohammadreza Mamashli, Mohsin Jamil

“…Conventional Proportional Integral (PI) controllers within model predictive current control (MPCC) frameworks often struggle to meet the demands of rapid transient response and precise speed tracking, particularly under dynamic operating conditions. …”
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Self-Tuning Parameters of the Proposed Fuzzy Immune Integral Controller to Improve the Performance of the Standard P&#x0026;O-MPPT Strategy by Ramazan Ayaz

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