Results 251 to 260 of about 6,509,129 (322)

Characteristics of soil organic carbon and its components under long-term different crop rotation patterns. [PDF]

PLoS One
Zhang X, Liu C, Wang B, Xu D, Shi X, Zhang S, Yang B, Wang W, Meng X.   +8 more
europepmc   +1 more source

Trisferrocenyltrithiophosphite-Copper(I) Bromide Composites for Electrochemical CO₂ Reduction. [PDF]

Int J Mol Sci
Khrizanforov M, Bezkishko I, Samorodnova A, Shekurov R, Gainullin R, Kholin K, Yanilkin I, Gubaidullin A, Galushko A, Miluykov V.   +9 more
europepmc   +1 more source

Decision, Inference, and Information: Formal Equivalences Under Active Inference. [PDF]

Entropy (Basel)
Sweeney P, Ruiz-Serra J, Harré MS.
europepmc   +1 more source

Scientific Opinion on the application of physiologically based kinetic (PBK) modelling for the quantitative in vitro to in vivo extrapolation (QIVIVE) of developmental neurotoxicity in vitro battery (DNT IVB) data for pesticide active substances. [PDF]

EFSA J
EFSA Panel on Plant Protection Products and their Residues (PPR), Coja T, Adriaanse P, Choi J, Finizio A, Giraudo M, Kuhl T, McVey E, Metruccio F, Paparella M, Pieper S, Scanziani E, Teodorovic I, Van der Brink P, Wilks M, Darney K, Hernandez-Jerez A, Kramer N, Testai E, Louisse J.   +19 more
europepmc   +1 more source

A synergistic strategy of crosslinking and filler toughening enabling stretchable organic photovoltaics for wearable applications. [PDF]

Nat Commun
Luo X, Liu X, Yang W, Li Y, Yang Z, Huang W, Wu J, Zhang X, Li Z, Ma D, Zhong W, Li N, Ying L.   +12 more
europepmc   +1 more source

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Risk-Based Active Distribution System Planning for Resilience Against Extreme Weather Events

IEEE Transactions on Sustainable Energy, 2023
Enhancing the resilience of power distribution systems to extreme weather events is of critical concern. Upgrading the distribution system infrastructure by system hardening and investing in smart grid technologies effectively enhances grid resilience ...
Abodh Poudyal, Shiva Poudel, A. Dubey
semanticscholar   +1 more source

Probabilistic Physics-Informed Graph Convolutional Network for Active Distribution System Voltage Prediction

IEEE Transactions on Power Systems, 2023
This letter proposes a novel data-driven probabilistic physics-informed graph convolutional network (GCN) for active distribution system voltage prediction with PVs and EVs.
Tong Su, Junbo Zhao, Yansong Pei, Fei Ding   +3 more
semanticscholar   +1 more source