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Obligatory, Optional and Contrastive Occurrences of KE Modern Persian
Jalal Rahimian
Jul 18, 2013
The function of particles like ke in modern Persian varies according to context. As a morphosyntactic element with a range of roles, it functions as a subordinator, an adverbial conjunction, a focus marker and an interrogative...
Published by: Atlantic Provinces Linguistic Association
Obligatory, Optional and Contrastive Occurrences of KE Modern Persian
Jalal Rahimian
Jul 18, 2013
The function of particles like ke in modern Persian varies according to context. As a morphosyntactic element with a range of roles, it functions as a subordinator, an adverbial conjunction, a focus marker and an interrogative...
Published by: Atlantic Provinces Linguistic Association
THE "INDIFFERENCE-ke CONSTRUCTION" IN MODERN CONVERSATIONAL PERSIAN
Nima Sadat-Tehrani
Aug 01, 2013
This paper deals with a construction in Persian called here the Indifference-ke
Construction (or IKC). This construction has the structure A ke B, where A is a clause (minimally a verb), ke is a particle, and B is a verb, a...
Published by: Atlantic Provinces Linguistic Association
THE "INDIFFERENCE-ke CONSTRUCTION" IN MODERN CONVERSATIONAL PERSIAN
Nima Sadat-Tehrani
Aug 01, 2013
This paper deals with a construction in Persian called here the Indifference-ke
Construction (or IKC). This construction has the structure A ke B, where A is a clause (minimally a verb), ke is a particle, and B is a verb, a...
Published by: Atlantic Provinces Linguistic Association
β-Hydroxybutyrate Oxidation in Exercise Is Impaired by Low-Carbohydrate and High-Fat Availability.
David J Dearlove, David Holdsworth, Tom Kirk, Leanne Hodson, Evelina Charidemou, Eline Kvalheim, Brianna Stubbs, Andrew Beevers, Julian L Griffin, Rhys Evans, Jeremy Robertson, Kieran Clarke, Pete J Cox
Jan 04, 2022
Purpose: In this study, we determined ketone oxidation rates in athletes under metabolic conditions of high and low carbohydrate (CHO) and fat availability. Methods: Six healthy male athletes completed 1 h of bicycle ergometer...
A Comment Aspect-Level User Preference Transfer Model for Cross-Domain Recommendations
Traditional cross-domain recommendation models make it difficult to deeply mine users' aspect-level preferences from comment information due to existing problems such as polysemy of comment text, sparse comment data, and user...
Published by: IGI Global Scientific Publishing
Unsupervised Image Restoration Using Partially Linear Denoisers.
Deep neural network based methods are the state of the art in various image restoration problems. Standard supervised learning frameworks require a set of noisy measurement and clean image pairs for which a distance between the...
A spatially-varying relaxation parameter Lattice Boltzmann Method (SVRP-LBM) for predicting the effective thermal conductivity of composite material
Functional filler-reinforced composite materials play critical roles in thermal management in various engineering applications. In this study, an in-house coded spatially-varying relaxation parameter Lattice Boltzmann Method...
composite materials Effective thermal conductivity Lattice Boltzmann Numerical prediction Spatially-varying relaxation parameters /dk/atira/pure/subjectarea/asjc/1700/1700 name=General Computer Science /dk/atira/pure/subjectarea/asjc/1600/1600 name=General Chemistry /dk/atira/pure/subjectarea/asjc/2500/2500 name=General Materials Science /dk/atira/pure/subjectarea/asjc/2200/2211 name=Mechanics of Materials /dk/atira/pure/subjectarea/asjc/3100/3100 name=General Physics and Astronomy /dk/atira/pure/subjectarea/asjc/2600/2605 name=Computational Mathematics
Assessing the suitability of alkali-activated metakaolin geopolymer for thermochemical heat storage
This study investigates the suitability and potentials of using alkali-activated metakaolin geopolymers as sustainable low-cost thermochemical heat storage materials via water sorption and/or hydration reactions. Four...
Alkali-activated geopolymer Dynamic water sorption Mesoporous aluminosilicate hydrates Thermochemical heat storage /dk/atira/pure/subjectarea/asjc/1600/1600 name=General Chemistry /dk/atira/pure/subjectarea/asjc/2500/2500 name=General Materials Science /dk/atira/pure/subjectarea/asjc/3100/3104 name=Condensed Matter Physics /dk/atira/pure/subjectarea/asjc/2200/2211 name=Mechanics of Materials
Indirect sampled-data control with sampling period adaptation
It is known that if a continuous-time feedback system is exponentially stable, then the corresponding sampled-data system obtained by sample-hold discretisation with constant sampling period is also exponentially stable...
Design Frameworks for Mobile Health Technology
The World Health Organization envisions that mobile health (mHealth) technologies will revolutionize healthcare to help people around the world. This review examined recent literature to assess the state-of-the-art of mHealth...
Published by: IGI Global Scientific Publishing
Assessing the suitability of alkali-activated metakaolin geopolymer for thermochemical heat storage
This study investigates the suitability and potentials of using alkali-activated metakaolin geopolymers as sustainable low-cost thermochemical heat storage materials via water sorption and/or hydration reactions. Four...
Alkali-activated geopolymer Dynamic water sorption Mesoporous aluminosilicate hydrates Thermochemical heat storage /dk/atira/pure/subjectarea/asjc/1600/1600 name=General Chemistry /dk/atira/pure/subjectarea/asjc/2500/2500 name=General Materials Science /dk/atira/pure/subjectarea/asjc/3100/3104 name=Condensed Matter Physics /dk/atira/pure/subjectarea/asjc/2200/2211 name=Mechanics of Materials
Adaptive sampled-data integral control of stable infinite-dimensional linear systems
In this paper, adaptive discrete-time low-gain integral control strategies are presented for tracking constant reference signals for infinite-dimensional discrete-time power-stable linear systems. The discrete-time results are...
Indirect sampled-data control with sampling period adaptation
It is known that if a continuous-time feedback system is exponentially stable, then the corresponding sampled-data system obtained by sample-hold discretisation with constant sampling period is also exponentially stable...
A ML framework to predict permeability of highly porous media based on PSD
Abstract
Using machine learning (ML) method to predict permeability of porous media has shown great potential in recent years. A current problem is the lack of effective models to...
Approximate tracking and disturbance rejection for stable infinite-dimensional systems using sampled-data low-gain control
In this paper we solve tracking and disturbance rejection problems for stable infinite-dimensional systems using a simple low-gain controller suggested by the internal model principle. For stable discrete-time systems, it is...
Multiple Fusion Strategies in Localization of Local Deformation Tampering
Tampering with images may involve the field of crime and also bring problems such as incorrect values to the public. Image local deformation is one of the most common image tampering methods, where the original texture features...
Published by: IGI Global Scientific Publishing
A Hotspot-Aware Personalized News Recommendation Mechanism Based on DistilBERT-TC-MA
Aiming at the problems of existing news recommendation methods, such as inadequate exploration of the semantic information of news, neglecting potential hotspot features of news, and challenging the balance between user...
Published by: IGI Global Scientific Publishing
A spatially-varying relaxation parameter Lattice Boltzmann Method (SVRP-LBM) for predicting the effective thermal conductivity of composite material
Functional filler-reinforced composite materials play critical roles in thermal management in various engineering applications. In this study, an in-house coded spatially-varying relaxation parameter Lattice Boltzmann Method...
composite materials Effective thermal conductivity Lattice Boltzmann Numerical prediction Spatially-varying relaxation parameters /dk/atira/pure/subjectarea/asjc/1700/1700 name=General Computer Science /dk/atira/pure/subjectarea/asjc/1600/1600 name=General Chemistry /dk/atira/pure/subjectarea/asjc/2500/2500 name=General Materials Science /dk/atira/pure/subjectarea/asjc/2200/2211 name=Mechanics of Materials /dk/atira/pure/subjectarea/asjc/3100/3100 name=General Physics and Astronomy /dk/atira/pure/subjectarea/asjc/2600/2605 name=Computational Mathematics
Coupling machine learning with thermodynamic modelling to develop a composition-property model for alkali-activated materials
Alkali-activation is one of the most promising routes for utilisation of versatile aluminosilicate resources. However, the variations of chemical compositions in these resources have increased the challenge of designing...
Alkali-activated materials Mechanical performances Sobol global sensitivity indices thermodynamic modelling Weighted Gaussian processes /dk/atira/pure/subjectarea/asjc/2500/2503 name=Ceramics and Composites /dk/atira/pure/subjectarea/asjc/2200/2211 name=Mechanics of Materials /dk/atira/pure/subjectarea/asjc/2200/2210 name=Mechanical Engineering /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering
Coupling machine learning with thermodynamic modelling to develop a composition-property model for alkali-activated materials
Alkali-activation is one of the most promising routes for utilisation of versatile aluminosilicate resources. However, the variations of chemical compositions in these resources have increased the challenge of designing...
Alkali-activated materials Mechanical performances Sobol global sensitivity indices thermodynamic modelling Weighted Gaussian processes /dk/atira/pure/subjectarea/asjc/2500/2503 name=Ceramics and Composites /dk/atira/pure/subjectarea/asjc/2200/2211 name=Mechanics of Materials /dk/atira/pure/subjectarea/asjc/2200/2210 name=Mechanical Engineering /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering
An Image-Text Matching Method for Multi-Modal Robots
With the rapid development of artificial intelligence and deep learning, image-text matching has gradually become an important research topic in cross-modal fields. Achieving correct image-text matching requires a strong...
Published by: IGI Global Scientific Publishing
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