Results 191 to 200 of about 30,739 (257)

Identifiable learning of dissipative dynamics. [PDF]

Nat Commun
Zhu A, Soh BW, Pavliotis GA, Li Q.
europepmc   +1 more source

Multi‐Dimensional Physical‐Layer Security via Digitally Mediated Space–Time Modulation

Advanced Science, EarlyView.
Digitally mediated space–time modulation moves radiation control beyond hardware‐bound switching. Multiple information‐bearing and masking waveforms are jointly synthesized at baseband and coherently coupled to simple periodic time modulation, enabling programmable, independently directed multi‐beam radiation without increasing switching‐state ...
Kejin Chen, Heng Mao, Feng Yang, Gengbo Wu, Lei Zhang, Yikai Chen, Shi‐Wei Qu, Jun Hu, Shiwen Yang   +8 more
wiley   +1 more source

Joint Self-Calibration of Receiver Geometry, Timing, and Target Positions for Multistatic Radar Autofocus. [PDF]

Sensors (Basel)
Weiss AJ, Eliyahu G, Maor AM, Zamir E, Richman O.   +4 more
europepmc   +1 more source

Engineering Borophene Band Structure Through Thickness

Advanced Science, EarlyView.
Borophene grown on W(110) shows a thickness‐dependent evolution of its structural and electronic properties. Surface microscopy, diffraction, XPS, and ARPES reveal distinct monolayer and bilayer phases. The formation of the second layer is accompanied by structural reconstruction, changes in chemical properties, and new ARPES features, demonstrating ...
Matteo Jugovac, Marcin Szpytma, Tevfik Onur Menteş, Andrea Locatelli, Iulia Cojocariu   +4 more
wiley   +1 more source

Raman-guided sample subset selection for cost-efficient offline calibration in bioprocesses. [PDF]

Bioprocess Biosyst Eng
Wilms T, Schwenke F, King R, Knorn S.
europepmc   +1 more source

Pathological Signal‐Responsive Nanoplatforms for Sepsis: Integrating Biomarker Sensing With Spatiotemporal Drug Delivery and Immunomodulation

Advanced Science, EarlyView.
Biomarker‐triggered nanoplatforms transform sepsis therapy by coupling pathological sensing with precision drug release. This review reveals how microenvironment‐responsive nanomedicines enable stage‐specific intervention, improve therapeutic efficacy, and minimize systemic toxicity, while highlighting emerging opportunities for AI‐assisted and ...
Yukun Liu, Kang Wang, Kwet Kyawl Yan, Zhikai Xu, Xuan Zhao, Xiangjun Bai, Zhanfei Li, Yuchang Wang   +7 more
wiley   +1 more source

Resolving parameter uncertainty in SIR models through population-level serological surveillance: A synthetic study. [PDF]

Infect Dis Model
Pant B, Levine ME, Nande A, Garcia RG, Dewey G, Link NB, Santillana M.   +6 more
europepmc   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

A dependent and censored first hitting-time model with compound Poisson processes. [PDF]

Lifetime Data Anal
Escobar-Bach M, Popier A, Sahin M.
europepmc   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source