Social networking is becoming a more powerful tool for students for communication, information sharing, and discussions. This paper presents a study, based on a survey questionnaire, which aims to investigate to what extent and...
INTRODUCTION: Down syndrome (DS), a genetic variant of early onset Alzheimer's disease (AD), lacks a suitable outcome measure for prevention trials targeting pre-dementia stages. METHODS: We used cognitive test data collected in...
Down syndrome (DS), a genetic variant of early onset Alzheimer's disease (AD), lacks a suitable outcome measure for prevention trials targeting pre-dementia stages.
Collagen is the most abundant protein in the human body and serves many functions, from mechanical stability and elasticity in tendons and bone, to optical properties, such as transparency and a fine tuned refractive index in...
This study applied an adoption model, inspired by the Technology Acceptance Model (TAM) and Multipurpose Information Appliances Adoption Model (MIAAM), to compare key variables explaining adoption patterns of a mobile coaching...
The clonal complexity of adult stem cell pools is progressively lost during homeostatic turnover in several tissues, suggesting a decrease in the number of stem cells with distinct clonal origins. The functional impact of...
GMRES is one of the most popular iterative methods for the solution of large linear systems of equations that arise from the discretization of linear well-posed problems, such as boundary value problems for elliptic partial...
GMRES is one of the most popular iterative methods for the solution of large linear systems of equations that arise from the discretization of linear well-posed problems, such as boundary value problems for elliptic partial...
This article is part of the research project titled “Digital Teaching Materials in Early Childhood Education: Analysis and Proposals for Use at School and at Home (INFANCI@ DIGIT@L).” The fundamental objective was to analyse the...
Motivated by the need to better understand the ongoing role of artificial intelligence in businesses and to shift the focus from a purely technological and algorithmic perspective to one that encompasses human-computer...
Constrained least squares problems arise in a variety of applications, and many iterative methods are already available to compute their solutions. This paper proposes a new efficient approach to solve nonnegative linear least...
This paper surveys animportant class of methods that combine iterative projection methods and variational regularization methods for large-scale inverse problems. Iterative methods such as Krylov subspace methods are invaluable...
This paper is concerned with the regularization of large-scale discrete inverse problems by means of inexact Krylov methods. Specifically, we derive two new inexact Krylov methods that can be efficiently applied to unregularized...
Constrained least squares problems arise in a variety of applications, and many iterative methods are already available to compute their solutions. This paper proposes a new efficient approach to solve nonnegative linear least...
In this paper we develop flexible Krylov methods for efficiently computing regularized solutions to large-scale linear inverse problems with an `2 fit-to-data term and an `p penalization term, for p ≥ 1. First we approximate the...
During development, the emergence of different cell fates and their patterning into tissues and organs requires spatio-temporal coordination that controls the relative number of different cell types. Genetic analyses in...
Haematopoietic stem cells (HSC) are situated at the apex of the haematopoietic differentiation hierarchy, ensuring the life-long supply of mature haematopoietic cells and forming a reservoir to replenish the haematopoietic...
During development, the emergence of different cell fates and their patterning into tissues and organs requires spatio-temporal coordination that controls the relative number of different cell types. Genetic analyses in...
This paper introduces and analyzes an original class of Krylov subspace methods that provide an efficient alternative to many well-known conjugate-gradient-like (CG-like) Krylov solvers for square nonsymmetric linear systems...
This paper introduces and analyzes an original class of Krylov subspace methods that provide an efficient alternative to many well-known conjugate-gradient-like (CG-like) Krylov solvers for square nonsymmetric linear systems...
In this paper we develop flexible Krylov methods for efficiently computing regularized solutions to large-scale linear inverse problems with an `2 fit-to-data term and an `p penalization term, for p ≥ 1. First we approximate the...
A compelling issue for organizations and societies at large is to ensure external employability of the workforce across workers’ entire work-life span. Using the frameworks of age norms, stereotyping and age meta-stereotypes, we...