Results 251 to 260 of about 153,833 (307)

Perceptions of Large Wood in River Corridors: Visual Cues, Risk, and Management Expectations in Brazil. [PDF]

Environ Manage
Abatti BH, Fagundes MR, Michel GP, Poeppl RE, Vanelli FM, Zanandrea F, Campagnolo K, Paul LR, Kobiyama M.   +8 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced 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, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Non-wood dissolving pulp from <i>Hibiscus rosasinensis</i> for sustainable viscose fibre production. [PDF]

RSC Adv
Pawar SP, Bhoir SR, Khare RA, Mhaske ST.
europepmc   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

The Role of Forage Quantity and Quality in the Migration and Diet of a Northern Ungulate During Their Neonatal Period. [PDF]

Ecol Evol
Gutierrez SB, Hecker LJ, Bork EW, Edwards MA, Nielsen SE.   +4 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Screw Withdrawal Resistance from WPC Profiles Used in Door Frame Production. [PDF]

Materials (Basel)
Potok Z, Kwidziński Z, Pędzik M, Wiaderek K, Prałat B, Rogoziński T.   +5 more
europepmc   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

Advanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu, Linggang Zhu, Jian Zhou, Zhimei Sun   +3 more
wiley   +1 more source

Prehabilitation in degenerative cervical myelopathy: An underexplored opportunity to optimize outcomes. [PDF]

Brain Spine
Fortin M, Chauhan RV, Boerger TF, Montpetit C, Kobaisi A, Lantz JM, Kumar V, Plener J, Demetriades AK, Wood L, Dastagir O, Treanor C, Toumbas G, Ammendolia C, Wilson N, Anderson DB, RECODE-DCM Perioperative Rehabilitation Incubator.   +16 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source