Results 21 to 30 of about 2,377 (167)

Initial data for gravity coupled to scalar, electromagnetic and Yang-Mills fields [PDF]

open access: yes, 1998
We give ansatze for solving classically the initial value constraints of general relativity minimally coupled to a scalar field, electromagnetism or Yang-Mills theory. The results include both time-symmetric and asymmetric data.
A. Gullstrand   +29 more
core   +2 more sources

Bistability in the Tunnelling Current through a Ring of $N$ Coupled Quantum Dots

open access: yes, 2012
We study bistability in the electron transport through a ring of N coupled quantum dots with two orbitals in each dot. One orbital is localized (called b orbital) and coupling of the b orbitals in any two dots is negligible; the other is delocalized in ...
Alexandrov A. S.   +38 more
core   +1 more source

A Graph-Based Semantics Workbench for Concurrent Asynchronous Programs [PDF]

open access: yes, 2016
A number of novel programming languages and libraries have been proposed that offer simpler-to-use models of concurrency than threads. It is challenging, however, to devise execution models that successfully realise their abstractions without forfeiting ...
A Corradini   +23 more
core   +3 more sources

Levy statistics and anomalous transport in quantum-dot arrays

open access: yes, 2005
A novel model of transport is proposed to explain power law current transients and memory phenomena observed in partially ordered arrays of semiconducting nanocrystals.
A. Y. Khintchine   +11 more
core   +1 more source

Hydrological controls on river network connectivity [PDF]

open access: yes, 2019
This study proposes a probabilistic approach for the quantitative assessment of reach- and network-scale hydrological connectivity as dictated by river flow space–time variability. Spatial dynamics of daily streamflows are estimated based on climatic and
Botter, Gianluca   +3 more
core   +1 more source

Making teaching an attractive profession: What are the challenges and opportunities for minority ethnic teachers in England?

open access: yesBritish Educational Research Journal, EarlyView.
Abstract This paper explores the challenges and opportunities surrounding the recruitment and retention of minority ethnic teachers in England. Drawing on interview data from 33 teachers and school leaders of diverse ethnic backgrounds, it investigates whether racialised barriers identified in earlier research have shifted in the current context of ...
Antonina Tereshchenko   +5 more
wiley   +1 more source

Partonic quasi-distributions of the pion in chiral quark models

open access: yes, 2017
The evaluation of partonic distributions presents a challenge for QCD, and in particular for its Euclidean lattice realization. Recently, objects called quasi-distributions (which become standard distributions in a limit of the longitudinal momentum of ...
Arriola, Enrique Ruiz   +1 more
core   +1 more source

Reuse of Water as Part of a Water Sustainability Strategy: Experiences of Germany and Poland

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Wastewater can provide an alternative supply of scarce water resources, particularly for operations that do not require high‐quality water. The uptake in wastewater usage is likely to be driven by a combination of public and private sector actors via internal actions and external collaborations.
Jonathan Morris   +5 more
wiley   +1 more source

Reflecting on the Future of QDA Software: Special Issue of The Qualitative Report [PDF]

open access: yes, 2018
This article introduces the special issue of The Qualitative Report, which brings together five papers exploring the scope, depth, history and future of Qualitative Data Analysis software (QDAS), originally presented at a conference in Rotterdam in 2016.
de Jong, Franciska   +2 more
core   +4 more sources

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy