A Self‐Recognition Separator for Ion Management to Customize Selective Zn2+ Channels Toward Dendrite‐Free Zinc Metal Anodes by Yingbo Shao, Wen Lu, Tianyu Zhang, Bowen Yin, Bin‐Bin Xie, Jiqiang Ning, Yong Hu

“…The GF@CAU‐17 has self‐recognition behavior to customize selective Zn2+ channels, effectively repelling SO42– and H2O, but facilitating Zn2+ conduction. The inherent properties of CAU‐17 result in the repulsion of SO42– ions while disrupting the hydrogen bond network among free H2O molecules, restraining side reactions and by‐products. …”
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Harnessing the synergy of Urochloa brizantha and Amazonian Dark Earth microbiomes for enhanced pasture recovery by Anderson Santos de Freitas, Luís Felipe Guandalin Zagatto, Gabriel Silvestre Rocha, Franciele Muchalak, Guilherme Lucio Martins, Solange dos Santos Silva-Zagatto, Rogério Eiji Hanada, Aleksander Westphal Muniz, Siu Mui Tsai

“…This research provided valuable insights into the intricate dynamics of plant-soil feedback, emphasizing the potential for complementary interactions between specific plant species and unique soil environments like ADEs. …”
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Probabilistic machine learning-based phytoplankton abundance using hyperspectral remote sensing by Do Hyuck Kwon, Jung Min Ahn, Jong Cheol Pyo, Jiye Lee, Ather Abbas, Sanghyun Park, Kyunghyun Kim, Hyuk Lee, Kyung Hwa Cho

“…Airborne monitoring was conducted to comprehensively capture the spatiotemporal features of algal dynamics from 2016 to 2022, complemented by concurrent in situ assessments of phytoplankton concentration, including Cyanobacteria, diatom, and Green algae. …”
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Self-management dilemmas and influencing factors of patients during the waiting period for heart transplantation in China based on the social ecosystem: a qualitative study by Juan Chen, Fei Li, Shan-Shan Liu, Xiao-Min Zhang, Yu-Hong Chen, Si-Yu Liu

“…These issues manifested as limited caregiving capacity within families, increased financial burdens on households, insufficient educational resources and guidance provided by medical staff, a lack of continuity in care across different settings and the absence of supportive social networks. At the macro level, systemic challenges such as the unequal distribution of medical resources and the absence of a comprehensive long-term follow-up mechanism were identified as significant barriers to effective patient management.Conclusion The dynamic interaction among the micro, meso and macro systems significantly influenced patients’ motivation and capacity for self-management, thereby ultimately affecting the progression of their disease and their overall quality of life. …”
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Analyzing research trends in glioblastoma metabolism: a bibliometric review by Jiaxin Dai, Jiaxin Dai, Siyun Song, Pengyu Chen, Pengyu Chen, Qixuan Huang, Qixuan Huang, Hubin Duan, Hubin Duan

“…BackgroundA bibliometric and visual analysis of articles related to glioblastoma metabolism was conducted to reveal the dynamics of scientific development and to assist researchers in gaining a global perspective when exploring hotspots and trends.MethodsThe Web of Science Core Collection (WoSCC) was employed to search, screen, and download articles about glioblastoma metabolism published between 2014 and 2024. …”
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Experimental study on the role and biomarker potential of CX3CR1 in osteoarthritis by Junpu Huang, Xifan Zheng, Jinzhi Meng, Hongtao Wang, Lingyun Chen, Jun Yao

“…Differentially expressed genes (DEGs) correlated with CX3CR1 were subsequently subjected to Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and immune infiltration analyses. A ceRNA regulatory network was also constructed. Vali-dation of CX3CR1 expression was conducted through qRT-PCR, Western blotting, and immunohistochemistry.Results CX3CR1 emerged as a candidate gene significantly associated with OA, exhibiting regulatory roles primarily in lipid metabolism-related and extra-cellular matrix-related biological processes and signaling cascades. …”
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Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods by Sisi Li, Sheng Hu, Lin Wang, Fanyu Zhang, Ninglian Wang, Songbai Wu, Xingang Wang, Zongda Jiang

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Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

“…In this study, 64 coarse-grained soil (CGS) samples were designed using a negative exponential gradation equation (NEGE), and computational fluid dynamics–discrete element method (CFD-DEM) coupled seepage simulations were conducted to generate a permeability coefficient (k) dataset comprising 256 entries under varying porosity and gradation conditions. …”
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General practitioners’ decision-making strategies in the pharmacological treatment of musculoskeletal pain: A qualitative interview study by Nele Kornder, Victoria Jessica Hill, Sophia Naomi Groffebert, Annette Becker, Annika Viniol, Nicole Lindner

“…Participants were purposively recruited via a regional practice network. Interviews were analysed using Braun and Clarke’s thematic analysis, applying a combined deductive–inductive approach.Results Five major themes emerged: (1) prescribing approaches, (2) medication preferences, (3) doctor–patient relationship, (4) addressing psychosomatic factors, and (5) support needs. …”
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A parameter centric service discovery framework for social digital twins in smart City by Farhan Amin, Salabat Khan, Gyu Sang Choi, Muhammad Ali Abid, Isabel de la Torre, Elisabeth Caro Montero, Irene Delgado Noya

“…Abstract In the contemporary digital era, the Internet of Things (IoT) and its applications have proliferated extensively, particularly within smart city environments, resulting in increased network traffic and raising the significance of efficient service discovery (SD) mechanisms. …”
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Knowledge Reasoning- and Progressive Distillation-Integrated Detection of Electrical Construction Violations by Bin Ma, Gang Liang, Yufei Rao, Wei Guo, Wenjie Zheng, Qianming Wang

“…These triplets are embedded into the model using an adaptive connection network, which dynamically weights the relevance of external knowledge to enhance detection accuracy. …”
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Baicalein inhibits PRRSV through direct binding, targeting EGFR, and enhancing immune response by Jing Wu, Qi Lu, Jing Hou, Yueqin Qiu, Min Tian, Li Wang, Kaiguo Gao, Xuefen Yang, Zongyong Jiang

“…Additionally, both in vitro (EC50 = 10.20 μg/mL) and in vivo (2.41 mg/kg) experiments were conducted to assess the effectiveness of baicalein against PRRSV. …”
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The role of RCCE-IM in the mpox response: A qualitative reflection process with experts and civil society in three European countries by Ruth Kutalek, Paul Grohma, Anna Christina Maukner, Silvia Wojczewski, Leo Palumbo, Cristiana Salvi

“…Methods: We used an exploratory qualitative research design and conducted semi-structured interviews with people actively involved in the mpox response in their country. …”
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Patient engagement in the development of best practices for transitions from hospital to home: a scoping review by Karen Okrainec, Grace Zhao, Carol Kennedy, Gracia Mabaya

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Differences in emotional expression among college students: a study on integrating psychometric methods and algorithm optimization by Xiaozhu Chen

“…However, traditional research on emotional expression often relies on a single measurement method, which has problems such as single data dimensions, limited analysis methods, and lack of real-time dynamism and personalization. To overcome these limitations, this study conducted a comprehensive analysis using psychometric methods and algorithm optimization techniques. …”
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Hypothetical acceptability of hospital-based post-mortem pediatric minimally invasive tissue sampling in Malawi: The role of complex social relationships. by Sarah Lawrence, Dave Namusanya, Andrew Hamuza, Cornelius Huwa, Dennis Chasweka, Maureen Kelley, Sassy Molyneux, Wieger Voskuijl, Donna M Denno, Nicola Desmond

“…"MITS in Malawi" is a sub-study of the Childhood Acute Illness & Nutrition (CHAIN) Network, which aims to identify biological and socioeconomic mortality risk factors among young children hospitalized for acute illness or undernutrition. …”
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A comparative study and simple baseline for travel time prediction by Chuang-Chieh Lin, Ming-Chu Ho, Chih-Chieh Hung, Hui-Huang Hsu

“…Based on these insights, we propose a baseline that fuses the complementary strengths of XGBoost and LSTM via a gating network. This approach dynamically allocates weights, guided by key statistical features, to each model, enabling the model to robustly adapt to both stable and volatile traffic conditions and achieve superior prediction accuracy compared to existing methods. …”
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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study by Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

“…Within a data-driven, clinical domain–guided framework to select the best set of features among cancer treatments, chronic health conditions, and socioenvironmental factors, we developed a 2-stage feature selection algorithm, that is, a multimetric, majority-voting filter and a deep dropout neural network, to dynamically and automatically select the best set of features for each behavioral outcome. …”
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Mapping the Global Research on Drug–Drug Interactions: A Multidecadal Evolution Through AI-Driven Terminology Standardization by Andrei-Flavius Radu, Ada Radu, Delia Mirela Tit, Gabriela Bungau, Paul Andrei Negru

“…The present study addresses this gap by conducting a high-resolution, multidimensional bibliometric and network analysis of 19,151 DDI publications indexed in the Web of Science Core Collection (1975–2025). …”
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Global Reaction Route Mapping of C₃H₂O: Isomerization Pathways, Dissociation Channels, and Bimolecular Reaction with a Water Molecule by Dapeng Zhang, Naoki Kishimoto

“…A comprehensive theoretical investigation of the C₃H₂O potential energy surface (PES) was conducted, revealing 30 equilibrium structures (EQs), 128 transition state structures (TSs), and 35 direct dissociation channels (DCs), establishing a global reaction network comprising 101 isomerization pathways and dissociation channels. …”
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