Results 191 to 200 of about 15,918 (289)

Refining Tree‐Decompositions so That They Display the k‐Blocks

open access: yesJournal of Graph Theory, EarlyView.
ABSTRACT Carmesin and Gollin proved that every finite graph has a canonical tree‐decomposition (T , V ) $(T,{\mathscr{V}})$ of adhesion less than k $k$ that efficiently distinguishes every two distinct k $k$‐profiles, and which has the further property that every separable k $k$‐block is equal to the unique part of (T , V ) $(T,{\mathscr{V}})$ in which
Sandra Albrechtsen
wiley   +1 more source

Reliability analysis of subsea pipeline system based on fuzzy polymorphic bayesian network. [PDF]

open access: yesSci Rep
Liu C   +9 more
europepmc   +1 more source

Influence of Multiband Technique on Temporal Diffusion Spectroscopy and Its Diagnostic Value in Breast Tumors

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
Background Temporal diffusion spectroscopy (TDS) is a noninvasive diffusion imaging technique used to characterizing cellular microstructures. The influence of multiband (MB) on TDS, particularly in breast tumor imaging remain unknown. Purpose To investigate the influence of MB on TDS in terms of scanning time, image quality, and quantitative ...
Jie Ding   +9 more
wiley   +1 more source

Not Even Remotely Close: How Co‐Location Imbalance Affects Subgroup Formation in Hybrid Teams

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Despite the substantial proliferation of hybrid work, little has been done to reconcile extant individual‐ and team‐level perspectives. This is problematic because it does not acknowledge how individuals' hybrid work practices constrain team‐level interactions and subsequent outcomes.
Lisa Handke   +3 more
wiley   +1 more source

Coherence Awareness in Diffractive Neural Networks

open access: yesLaser &Photonics Reviews, EarlyView.
It is demonstrated that spatial coherence significantly impacts all‐optical diffractive neural networks, unlike imaging systems. A general framework is proposed for training diffractive networks for any specified degree of spatial and temporal coherence. Coherence‐blind networks are further introduced, which are resilient to illumination changes. These
Matan Kleiner   +2 more
wiley   +1 more source

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