Results 191 to 200 of about 428,031 (297)

Association of high sensitivity C-reactive protein-triglyceride glucose index and chronic kidney disease: a cross-sectional study. [PDF]

Front Endocrinol (Lausanne)
Zhang F, Wang Z, Zhang H.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Investigating non-linear volume-outcome relationships in total knee arthroplasty based on a sample of more than 60,000 hospital cases from Germany, 2020-2023. [PDF]

Sci Rep
Roessler M, Bobeth C, Schulte C, Wende D.   +3 more
europepmc   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Shorter sleep, higher odds: a nationally representative analysis of the dose-dependent link to depression among 48.8 million U.S. youth. [PDF]

Front Pediatr
Cheng W, Zhang S, Shi M, Chen Y, Shi Y, Xu J.   +5 more
europepmc   +1 more source

A Novel Approach Based on Acceptor–Donor–Acceptor Type Molecules Enhances the Therapeutic Efficacy and Safety of Photothermal Therapy for Osteosarcoma

Advanced Science, EarlyView.
Jin et al. developed IEICO‐F nanoparticles with enhanced photothermal conversion efficiency via optimized push‐pull effect. Under 808 nm laser, these nanoparticles effectively generated heat to kill osteosarcoma cells and exhibited significant tumor suppression in vivo. Therefore, this novel A‐D‐A type molecule‐based photothermal therapy strategy holds
Zhijian Jin, Hongru Wang, Yi Yang, Yuhang Xie, Yuan Zhang, Zhiye Du, Yi Huang, Wei Guo, Yang Li, Shidong Wang   +9 more
wiley   +1 more source

Testosterone modifies U-Shaped association of eGFR with all-cause mortality in Chinese female centenarians: a prospective cohort study. [PDF]

Reprod Biol Endocrinol
Zhang Z, Cheng X, Qu Z, Niu Y, Feng Z, Zhang W, Sun D, Li H, Wang Q, Liu M, Zhao Y, He Y, Cai G, Chen X, Wang B, Chen Y.   +15 more
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

A New Customizable Surfactant LLPS Strategy for Sustainable and Highly Efficient Radioactive Metal Ion Separation

Advanced Science, EarlyView.
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan, Yifu Hu, Wentao Wang, Zhi Cao, Meiwen Cao, Weifang Zheng, Guoan Ye, Taihong Yan   +7 more
wiley   +1 more source

A machine learning framework for predicting fuel consumption and CO2 emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation. [PDF]

PLoS One
Ibrahim RA, Zakzouk NE.
europepmc   +1 more source