Results 211 to 220 of about 343,323 (262)

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

open access: yesAdvanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi   +6 more
wiley   +1 more source

Decoupling Quasi‐Solid‐State Sulfur Conversion Mechanisms in Weakly Solvating and Locally High Concentration Electrolytes

open access: yesAdvanced Energy Materials, EarlyView.
Weakly solvating CME–TTE and localized high‐concentration G2–TTE electrolytes redirect lithium–sulfur chemistry toward quasi‐solid‐state conversion through distinct coordination environments. Molecular dynamics and multimodal electrochemical and spectroscopic measurements show that G2–TTE couples multidentate solvent coordination, anion participation ...
Boyi Pang   +12 more
wiley   +1 more source

Chloride‐Mediated Activation of Aluminum‐Alloyed Liquid Metal Anodes for Stretchable Asymmetric Energy Storage

open access: yesAdvanced Energy Materials, EarlyView.
A gallium‐centered cell pairs an aluminum‐alloyed GaIn anode with a GaOOH cathode in a chloride‐rich water‐in‐ionic‐liquid electrolyte. Chlorogallate ions dissolve the native oxide that normally seals the liquid metal, and preferentially reduce indium seeds to oxide‐free clusters on which gallium plates and strips reversibly.
Adit Gupta   +3 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong   +5 more
wiley   +1 more source

Longitudinal quantitative streamline tractography: Robust estimation of white matter connectivity differences. [PDF]

open access: yesImaging Neurosci (Camb)
Pruckner P   +6 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

An IscS Persulfide Donates the Sulfur for Ribosomal Protein uL16 Thioamidation

open access: yesAngewandte Chemie, EarlyView.
YcaO‐catalyzed thioamidation of the ribosomal subunit protein uL16 is widespread in Pseudomonadota bacteria. We identify the iron–sulfur cluster cysteine desulfurase IscS as the sulfur donor via an IscS persulfide and observe direct IscS–uL16 interactions.
Yanqing Xue   +2 more
wiley   +2 more sources

AI‐Based Mitochondrial Network Characterization as a Biomarker for DNM1L‐Related Disease Diagnosis

open access: yesAdvanced Intelligent Systems, EarlyView.
This work provides proof‐of‐concept that AI‐based analysis of mitochondrial network morphology in patient‐derived fibroblasts can identify a phenotypic signature associated with DNM1L deficiency. This automated approach may ultimately provide a complementary functional readout for the interpretation of novel DNM1L variants following genetic testing ...
Uliana Musokhranova   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy