Results 71 to 80 of about 3,688,282 (260)
The Q-matrix Method of Fault-Tolerant Teaching in Knowledge Assessment and Data Mining
A major challenge for today's schools is to create individualized instruction in inexpensive, expandable ways. To achieve this goal, educational systems must adapt to each student, mining student data to determine what a student knows and does not know.
Barnes, Tiffany Michelle
core
White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram +3 more
wiley +1 more source
Location selection is a critical process in decision-making for projects that involve multiple criteria, such as urban planning, industrial site development, or green building projects.
Vimala Jayakumar +5 more
doaj +1 more source
On q-generalized hyperharmonic numbers with two parameters [PDF]
In this paper, we introduce q-generalized harmonic numbers with two parameters ω and ξ, H_{μ,λ,q}(ω,ξ) for integers μ, λ such that λ ≥ μ. With the help of these numbers, we define a new family of numbers which is called q-generalized hyperharmonic ...
Neşe Ömür, Sibel Koparal, Ömer Duran
doaj +1 more source
Optimal solution of the nearest correlation matrix problem by minimization of the maximum norm [PDF]
The nearest correlation matrix problem is to find a valid (positive semidefinite) correlation matrix, R(m,m), that is nearest to a given invalid (negative semidefinite) or pseudo-correlation matrix, Q(m,m); m larger than 2.
Mishra, SK
core
Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato +27 more
wiley +1 more source
Estimation of partially defined Q-matrix
We propose an estimation method for partially defined Q-matrix based on the likelihood of all possible q-vectors for each item. The algorithm chooses the q-vector with the smallest information criterion. Results indicate that it performs well in terms of
de la Torre, J, Liang, Q
core
The nonnegative Q−matrix completion problem [PDF]
In this paper, the nonnegative $Q$-matrix completion problem is studied. A real $n\times n$ matrix is a $Q$-matrix if for $k\in \{1,\ldots, n\}$, the sum of all $k \times k$ principal minors is positive.
Sinha, Kalyan, Sarma, Bhaba Kumar
core
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Q-mode varimax factor loadings matrix of benthic foraminifera assemblage of sediment core PS2564-3
Q-mode varimax factor loadings matrix of benthic foraminifera assemblage of sediment core PS2499-
Rudolph, Miriam +3 more
core +1 more source

