Results 41 to 50 of about 81,708 (237)
A Systematic Review and Meta‐Analysis of the Recurrence of Autoimmune Encephalitis
ABSTRACT Objective Autoimmune encephalitis (AE) is a disease with a potential for recurrence, and patients receive immunotherapy to prevent it. However, there is no consensus on the duration of immunotherapy. This study aimed to determine the recurrence rate and identify the risk factors for AE to provide guidance on the duration of immunotherapy ...
Shangkai Bai +5 more
wiley +1 more source
Data concerning statistical relation between obliquity and Dansgaard–Oeschger events
Data presented are related to the research article entitled “Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity” (J. Deng et al., 2018). The datasets in Deng et al.
Jia Deng +5 more
doaj +1 more source
In this work, a magnetic core‐shell catalyst (HOF‐on‐Fe3O4/ZIF‐67) is successfully synthesized, consisting of a metal–organic framework (ZIF‐67) with magnetic Fe3O4 as the core and a porous hydrogen‐bonded organic framework (HOF) as the shell. The catalyst efficiently activated peroxymonosulfate, resulting in rapid and effective removal of water ...
Yingying Du +4 more
wiley +1 more source
A new weighting factor in combining belief function. [PDF]
Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the problem of counter-intuitive outcomes by using classical Dempster-Shafer combination rule is still an open issue while fusing the conflicting evidences ...
Deyun Zhou +6 more
doaj +1 more source
In IoT environments, voluminous amounts of data are produced every single second. Due to multiple factors, these data are prone to various imperfections, they could be uncertain, conflicting, or even incorrect leading to wrong decisions. Multisensor data
Nour El Imane Hamda +2 more
doaj +1 more source
Finite-Temperature Gutzwiller Approximation from Time-Dependent Variational Principle
We develop an extension of the Gutzwiller approximation to finite temperatures based on the Dirac-Frenkel variational principle. Our method does not rely on any entropy inequality, and is substantially more accurate than the approaches proposed in ...
Deng, Xiaoyu +2 more
core +1 more source
2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit +5 more
wiley +1 more source
Zero-Shot Learning for Semantic Utterance Classification [PDF]
We propose a novel zero-shot learning method for semantic utterance classification (SUC). It learns a classifier $f: X \to Y$ for problems where none of the semantic categories $Y$ are present in the training set.
Dauphin, Yann N. +3 more
core +1 more source
Overshooting by convective settling
We study a process of slow mixing in stars with convective envelopes, which is driven by the settling of cool downward plumes below the base of the convection zone.
Andrássy, R., Spruit, H. C.
core +1 more source
Mechanochromism of Glassy Polymers Enabled by a Loop‐Forming Supramolecular Mechanophore
The supramolecular mechanophore LOOP is covalently introduced into glassy polymers, capable of reporting force‐induced pre‐failure damage and local fracture events in polymer glasses. Under different mechanical deformation modes, including grinding, tensile stretching, and scratching, LOOP probes irreversible events in polymer glasses through a ...
Linlin Deng +6 more
wiley +1 more source

