Results 201 to 210 of about 1,199,930 (336)

Decoupling Redox Potentials and Excited State Energies in Substituted Chromium(III) Chromophores

open access: yesChemistry – A European Journal, EarlyView.
Redox and excited state properties of organic and precious metal CT photocatalysts are strongly entangled. In contrast, redox potentials of polypyridine chromium(III) complexes, that feature purely metal‐centered SF states, are selectively tuned by incremental substituent effects of the CF3 group, while excited state energies and lifetimes remain ...
Steven Sittel   +6 more
wiley   +1 more source

Application of influence diagrams to multi‐objective allocation of firefighting resources in process plants

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Identification of firefighting strategies (i.e., which endangered units to suppress or cool first) in chemical and process plants falls under the domain of multi‐objective decision‐making (MODM), where not only the safety and integrity of the affected process plant but also the safety of on‐site and off‐site vulnerable targets matter.
Sina Khakzad, Nima Khakzad
wiley   +1 more source

Native Bacterial Communities of Two Italian Salso-Bromo-Jodic and Sulphurous Natural Mineral Waters. [PDF]

open access: yesMicroorganisms
Kuka A   +7 more
europepmc   +1 more source

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

DESERT RESORT

open access: yesJournal of critical reviews, 2020
openaire   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

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