Results 141 to 150 of about 97,629 (266)

RxMap: an LLM-assisted tool for medication normalization. [PDF]

JAMIA Open
Korpela E, Rubin LH, Dastgheyb RM, Xu Y.
europepmc   +1 more source

Breaking the Bottleneck in Limit of Detection of Surface Refractive Index Sensing by Harnessing Meta‐Waveguide Microring Resonators

Advanced Science, EarlyView.
Mode splitting in meta‐waveguide microring resonators (MWMRs) effectively suppresses baseline drift and measurement noise while maintaining high refractive‐index sensitivity. This reflection‐induced mode splitting strategy enables quantitative detection of ultra‐weak surface perturbations and establishes MWMRs as a robust, drift‐immune platform for ...
Wanxin Li, Jiewen Li, Rui Li, Gina Jinna Chen, Perry Ping Shum, Yi Zou, Ray T. Chen, Yongkang Dong, Xiaochuan Xu   +8 more
wiley   +1 more source

Topology‐Enriched Toughness Enhancement in Quasi‐Periodic Metastructures Featuring Tailorable Strong‐Weak Network

Advanced Science, EarlyView.
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao, Genda Wang, Jiabao Bai, Kai Liu   +3 more
wiley   +1 more source

An Inverse Generalized Conversion Filter for State Estimation in Nonlinear Adversarial Sensing Systems. [PDF]

Sensors (Basel)
Xi YA, Dong XH, Wu SY.
europepmc   +1 more source

Tailoring Successive Magnetic‐Dielectric Synergy for Enhancing Electromagnetic Absorption in Ultralong Heterostructure Chains Assisted by High Static Magnetic Field

Advanced Science, EarlyView.
This work proposes a high static magnetic field (HSMF) driven dual‐low‐dimension strategy for fabricating magnetic‐dielectric heterostructure (Fe3O4@MoS2) chains with programmable lengths. The constructed successive magnetic‐dielectric synergy, arising from uniaxial anisotropy‐enhanced magnetic response and abundant heterointerfaces that boost ...
Zhuolin Li, Meilong Feng, Wenbo Gao, Tianxiang Zheng, Wenhao Lin, Yunbo Zhong   +5 more
wiley   +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

Deterministic or probabilistic tractography? Choosing the appropriate approach in clinical neurosurgery and neuroradiology practice. [PDF]

Pol J Radiol
Kierońska-Siwak S, Rudaś M, Meder G, Baumgart M, Grzonkowska M, Grzanka D.   +5 more
europepmc   +1 more source

Microsphere‐Modulated Sensing‐in‐Energy Supercapacitor With Self‐Filtering Ultra‐Large Signal Under High‐g Shocks

Advanced Science, EarlyView.
To overcome severe signal oscillation under extreme impact conditions, this work presents a Sensing‐in‐Energy microdevice which integrates a MEMS inertial structure directly within a supercapacitor electrolyte cavity. Utilizing shock‐driven transient contact and electrolyte damping for signal self‐filtering, it achieves weak‐oscillation, large ...
Zhihao Zheng, Yiqun Wang, Kaiyou Liu, Shancheng Luan, Yajiang Yin, Xiaofeng Wang, Keren Dai, Zheng You   +7 more
wiley   +1 more source

Deterministic Overlapping Multimorbidity Phenotypes for Leakage-Safe EHR Modeling of Incident Cognitive Impairment in All of Us. [PDF]

J Interdiscip Res Appl Med
Rahemi Z, Omidi M.
europepmc   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source