Results 101 to 110 of about 4,127 (270)

New craniodental materials of Falcarius utahensis (Theropoda: Therizinosauria) reveal patterns of intraspecific variation and cranial evolution in early coelurosaurians

The Anatomical Record, EarlyView.
Abstract Despite documented ecomorphological shifts toward an herbivorous diet in several coelurosaurian lineages, the evolutionary tempo and mode of these changes remain poorly understood, hampered by sparse cranial materials for early representatives of major clades. This is particularly true for Therizinosauria, with representative crania best known
William J. Freimuth, Lindsay E. Zanno
wiley   +1 more source

Glyoxylic‐Acetal‐Based Gel‐Polymer Electrolytes for Lithium‐Ion Batteries

Batteries &Supercaps, Volume 8, Issue 3, March 2025.
A safe electrolyte based on tetraethoxyglyoxal (LE) is combined with a methacrylate polymer matrix. The resulting gel‐polymer electrolyte (GPE) exhibits an increased flash point, suitable ionic conductivity, and a stable performance in lithium‐ion battery cells.
Christian Leibing, Simon Muench, Juan Luis Gómez Urbano, Ulrich S. Schubert, Andrea Balducci   +4 more
wiley   +1 more source

Investigating the Cytoskeleton of DRGs Using Cryo‐Electron Microscopy and Deep Learning

Cytoskeleton, EarlyView.
ABSTRACT We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using cryogenic electron microscopy (cryo‐EM). Cryo‐EM reveals the dimensions, proximity, and overall organization of biological specimens in a near‐native state, avoiding artifacts of fixation and ...
M. Neal Waxham, Mihir Relan, Matthew T. Swulius, Andrea K. H. Stavoe   +3 more
wiley   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

Multi‐Dimensional Conductive Nanocomposites for Flexible Electronics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Multi‐dimensional conductive nanocomposites integrate 0D, 1D, and 2D nanomaterials through spatial structure regulation and interface engineering, achieving “1 + 1 > 2” synergistic effects. By leveraging 0D filling to reduce contact resistance, 1D bridging to construct continuous conductive paths, and 2D supporting to enhance mechanical stability ...
Tianyu Wang, Ruimin Cai, Abbas Ali, Lizhe Li, Li Yang, Hulin Zhang, Xuge Fan, Yumin Xia, Wenyong Lai, Linmao Qian, Tiehu Li, Guosheng Shao, Liang Tian   +12 more
wiley   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Industry Portfolio Volatility Connections and Industry Portfolio Returns

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington, Michalis Stamatogiannis, Yawen Zheng   +2 more
wiley   +1 more source

Discovery and validation of a urinary extracellular vesicle protein signature for the diagnosis of renal allograft fibrosis

Interdisciplinary Medicine, EarlyView.
Discovery and validation of a urinary extracellular vesicle protein signature for the diagnosis of renal allograft fibrosis. Abstract Interstitial fibrosis is the best indicator of irreversible or ongoing renal injury after kidney transplantation and faces considerable diagnostic challenges.
Wenxuan Zhao, Yang Xu, Yuewen Wang, Shihao Jin, Wenhui Wang, Zeming Yu, Yanwen Zhang, Yuxin Zhang, Deling Kong, Bing Wang, Zhenzhou Wu, Jie Zhao, Yuebing Wang   +12 more
wiley   +1 more source

Toxicol Pathol [PDF]

Multiwalled carbon nanotube (MWCNT) toxicity after inhalation has been associated with size, aspect ratio, rigidity, surface modification, and reactive oxygen species production.

core  

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, EarlyView.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source