Results 101 to 110 of about 391 (240)

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

open access: yesIET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang   +6 more
wiley   +1 more source

Universal Entanglement and an Information‐Complete Quantum Theory

open access: yesAdvanced Physics Research, EarlyView.
This Perspective summarize an informationcomplete quantum theory which describes a fully quantum world without any classical systems and concepts. Here spacetime/gravity, having to be a physical quantum system, universally entangles matter (matter fermions and their gauge fields) as an indivisible trinity, and encodes information‐complete physical ...
Zeng‐Bing Chen
wiley   +1 more source

A critical reappraisal of the carotid sinus and carotid bulb: Distinguishing neurohistological function from vascular geometry

open access: yesThe Anatomical Record, EarlyView.
This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose   +2 more
wiley   +1 more source

Efficacy and safety of empagliflozin for treating neutropenia and neutrophil dysfunction in paediatric patients with glycogen storage disease type Ib: A systematic review and meta‐analysis

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims Glycogen storage disease type Ib (GSD‐Ib) is a rare genetic disorder causing neutropenia and neutrophil dysfunction in children. G‐CSF has been the primary treatment, but emerging data support the potential of empagliflozin, an SGLT2 inhibitor, as a promising investigational option.
Elizabeth Iwasyk   +5 more
wiley   +1 more source

To protect and preserve? Explaining the gap between structural and superficial racial equality regimes in North Atlantic Rim universities

open access: yesBritish Educational Research Journal, EarlyView.
Abstract This article examines how UK and US universities manage racial equality regimes through governance structures that prioritise institutional reputation over substantive racial justice reform. Drawing on Bourdieu's field, habitus and capital theory, the study demonstrates how universities neutralise racial justice efforts through bureaucratic ...
David Roberts
wiley   +1 more source

Computational and Machine‐Learning Studies of Ethylene Oligomerization

open access: yesCarbon and Hydrogen, EarlyView.
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin   +3 more
wiley   +1 more source

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