Results 71 to 80 of about 91,593 (205)
Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors
Advanced Science, EarlyView.A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos +6 more
wiley +1 more source
A Renal Clearable Probe for In Vivo Monoamine Oxidase (MAO) Detection
Advanced Science, EarlyView.A renal‐clearable Cy7‐based fluorogenic probe enables rapid and non‐invasive detection of monoamine oxidase (MAO) activity in vivo. Upon MAO‐mediated activation, the fluorescent product is efficiently excreted in urine, allowing direct quantification of enzyme overexpression.
Marcia Domínguez +13 more
wiley +1 more source
Advanced Science, EarlyView.The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Advanced Science, EarlyView.Fabrication‐induced variability remains a fundamental limitation in the scalable design of soft biomaterials. In this work, a stochastic machine learning approach based on Gaussian processes modeling is employed to establish quantitative links between biofabrication parameters, material properties, and their intrinsic variability.
Maria Alexaki +8 more
wiley +1 more source
Advanced Science, EarlyView.This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed +10 more
wiley +1 more source
Aging and Electrical Stability of DNTT Honey‐Gated OFETs
Advanced Electronic Materials, EarlyView.DNTT honey‐gated organic transistors were fabricated and evaluated to assess short‐ and long‐term stability under electrical stress and aging. Short‐term transfer measurements (five days, 40 sweeps/day) showed minimal parameter shift, while extended measurements revealed gradual degradation over weeks.
Douglas H. Vieira +8 more
wiley +1 more source
Advanced Energy Materials, EarlyView.This study presents a laser‐assisted glass‐frit encapsulation method for perovskite solar cells, comparing air‐, nitrogen‐, and CO2‐filled cavities. Results show that excluding oxygen and moisture significantly improves stability under illumination. The findings reveal the critical role of trapped gases in degradation, providing a pathway to durable ...
Marta Pereira +5 more
wiley +1 more source
Angewandte Chemie, EarlyView.Integrated structural analysis of N. vulgaris formate dehydrogenase AB, an enzyme with applications in climate change mitigation, is reported. The substrate/product diffusion pathways were fully mapped, and a retention site was identified that transiently holds substrates and has a key role in CO2‐reducing activity.
Guilherme Vilela‐Alves +8 more
wiley +2 more sources
Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source