Results 141 to 150 of about 777,330 (303)
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su +7 more
wiley +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
The work examines the electrochemical and interfacial behaviors of crystalline NaAlCl4 and amorphous Na–Al–oxychloride solid electrolytes with NaNi0.5Mn0.5O2 cathodes. Operando gas evolution and ToF‐SIMS analyses highlight that pure chloride solid electrolytes offer greater interfacial stability and safety compared to the oxychloride solid electrolytes
Erick Ruoff +2 more
wiley +1 more source
Reverberation suppression in cochlear implants using a blind channel-selection strategy. [PDF]
Hazrati O, Loizou PC.
europepmc +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Redirecting Excited‐State Proton Transfer Through Supramolecular Polymerization in Nanoconfinement
Supramolecular confinement redirects the excited‐state proton transfer pathway of an amphoteric emitter. In water, the molecule undergoes ESPD, whereas co‐assembly with γ‐cyclodextrin forms nanotubes that template slip‐stacked emitter pairs and enable ESIMPT. Structural and photophysical characterization of the assemblies shows that the preorganization
Luis C. Pantaleone +8 more
wiley +2 more sources
Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil +2 more
wiley +1 more source
Color‐pure all‐organic emitters, i.e., with narrow spectral characteristics, are intensively studied for high‐definition organic LEDs and multi‐color bioimaging. In order to guide targeted materials design, this educative review discusses spectral characteristics, proper definitions and units, and the physical basis of spectral broadening, to distill ...
Johannes Gierschner +6 more
wiley +2 more sources
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source

