Results 41 to 50 of about 541 (254)
Brain Health, EarlyView.ABSTRACT Introduction Residential environments have been linked to brain structure, particularly in children, older adults, and clinical populations. However, little is known about how different dimensions of the housing environment relate to brain white matter microstructure in healthy adults, or whether specific environmental factors show stronger ...
Keisuke Kokubun +3 more
wiley +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
Occupational Context Moderates the Association Between Agreeableness and Brain Structure
Brain Health, EarlyView.ABSTRACT Background Previous research on associations between personality traits and brain structure has yielded inconsistent findings, suggesting that such relationships may depend on contextual factors. Methods This study examined whether occupational context moderates the association between agreeableness and gray matter volume (GMV). Structural MRI
Keisuke Kokubun +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study provides an exploratory, descriptive analysis of how knowledge management (KM) research engages with responsible sustainability from a strategic perspective. Using bibliometric science mapping, we analyse 97 Web of Science publications to identify dominant thematic patterns, relative emphases and conceptual blind spots shaping the ...
Jaime J. González‐Masip
wiley +1 more source
A‐optimal model‐based design of experiments for processes with uncertain inputs
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori +3 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
The centre of quantum sl_n at a root of unity
, 2006 It is proved that the centre Z of the simply connected quantised universal enveloping algebra over C, U_{?,P}(sl_n), ? a primitive l-th root of unity, l an odd integer >1, has a rational field of fractions.
Tange, R.H., Tange, Rudolf
core +1 more source
An overview of free nilpotent Lie algebras [PDF]
, 2014 summary:Any nilpotent Lie algebra is a quotient of a free nilpotent Lie algebra of the same nilindex and type. In this paper we review some nice features of the class of free nilpotent Lie algebras.
de-la-Concepción, Daniel +3 more
core +1 more source
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source