Results 241 to 250 of about 1,567,635 (316)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Sustainable Phosphorylated Cellulose Nanocrystals: A Dual‐Affinity Platform for High‐Efficiency Enrichment of Intact Glycopeptides and Phosphopeptides

open access: yesAdvanced Science, EarlyView.
AAA ABSTRACT Protein glycosylation and phosphorylation are critical post‐translational modifications (PTMs) governing nearly all cellular functions, yet their analysis remains challenging due to reliance on costly and unsustainable enrichment materials.
Jiaying Li   +9 more
wiley   +1 more source

Multi‐Omics Insights Into the Mechanisms of Early Muscle Fiber Difference and Transformation Between Lean‐Type and Chinese Indigenous Pigs

open access: yesAdvanced Science, EarlyView.
Multi‐omics analyses uncover breed‐specific cis‐regulatory landscapes and higher‐order chromatin architectural differences that underlie early postnatal muscle fiber divergence in pigs. A super‐enhancer upstream of PPP3CB recruits MEF2C to activate PPP3CB transcription, while the PPP3CB–MEF2C positive feedback loop promotes oxidative muscle fiber ...
Shuailong Zheng   +8 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

Forest dynamics of the natural forest reserve Schiffwald

open access: yes
Veränderungen der Waldmerkmale, die in erster Linie durch natürliche Störungen beeinflusst werden, kennzeichnen die Walddynamik. Naturwaldreservate (NWR) bieten eine einzigartige Möglichkeit, die natürliche Walddynamik zu untersuchen, da sie von menschlicher Bewirtschaftung unbeeinflusst sind.
openaire  

Constraint of Lignin–Carbohydrate Complex Orchestrated on Polyphenol in Oil–Water Interface Targeting Ulcerative Colitis Therapy

open access: yesAdvanced Science, EarlyView.
This study constructed the W1/O/W2 emulsion–based targeted therapy delivery system for ulcerative colitis (UC) utilizing LCC as surfactant for the first time. This multifunctional emulsion offered certain therapeutic advantages for UC, including targeted colonic delivery of active compounds, synergistic modulation of gut microbiota through combined ...
Qian Wu   +9 more
wiley   +1 more source

Microstructure‐Resolved Modeling to Predicting and Regulating Lithium Plating‐Stripping Dynamics on Graphite Electrodes

open access: yesAdvanced Science, EarlyView.
ABSTRACT The lithium plating reaction in graphite electrodes acts as a root cause for the accelerated degradation and the internal short circuits in lithium‐ion batteries. Here, an electrochemical model based on multi‐scale microstructural images was established to identify lithium plating‐stripping processes, thereby supporting the predictive outcomes
Heng Huang   +9 more
wiley   +1 more source

Heterogeneous Wettability‐Based Construction of Two‐Phase Interfaces for Underwater Reversible Adhesion

open access: yesAdvanced Science, EarlyView.
The design employs heterogeneous wettability surfaces that construct stable oil‐water interfaces to achieve robust and rapid reversible adhesion. Linear enhancement of adhesion strength is realized through multi‐interface patterning. This adhesive enables rapid on‐demand detachment within five seconds via voltage‐induced electrolysis, offering a level ...
Xiaokai Li   +11 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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