Results 261 to 270 of about 3,211,049 (333)

Reciprocal Associations Between Parental Anxiety/Depression and Emotional/Behavioral Difficulties in Autistic Children Following Their Diagnosis

open access: yesAutism Research, EarlyView.
ABSTRACT Emotional and behavioral difficulties (EBD) are common in autistic children, while anxiety and depressive symptoms (ADS) are prevalent in their parents. However, the bidirectional relationship between the parents' and children's symptoms remains unclear, especially in the years following the child's autism diagnosis.
Maëva Monnier   +8 more
wiley   +1 more source

An open‐label, single‐arm, dose‐escalating concentration–QT study to investigate the cardiac effects and safety of paroxetine in healthy adults

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Paroxetine is a selective serotonin reuptake inhibitor (SSRI), approved for treatment of major depressive disorder and anxiety disorders. Some SSRIs are known to prolong the QT interval; however, clinical evidence to establish a lack of association between paroxetine and corrected QT interval (QTc) prolongation is limited. Therefore, this
Sven C. van Dijkman   +6 more
wiley   +1 more source

Pharmacokinetic modelling of intravenous immunoglobulin in children with primary immunodeficiencies and secondary antibody deficiencies

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Children with primary immunodeficiency (PID) and secondary antibody deficiency (SAD) often require immunoglobulin replacement therapy due to low plasma immunoglobulin G (IgG) levels and recurrent infections. Existing pharmacokinetic models for immunoglobulin in PID patients predominantly focus on adults, with limited attention to ...
Iek Leng Cheng   +4 more
wiley   +1 more source

Model‐informed drug development to support nemolizumab clinical development in adults and adolescents with moderate to severe atopic dermatitis

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Aims Population pharmacokinetic (popPK) and pharmacokinetic‐pharmacodynamic (PK/PD) models were developed to support clinical development of nemolizumab, a humanized monoclonal antibody targeting the IL‐31 receptor α, in adolescents and adults with moderate‐to‐severe atopic dermatitis (AD).
Floris Fauchet   +17 more
wiley   +1 more source

Population pharmacokinetic/pharmacodynamic modelling to evaluate favipiravir in combination with lopinavir–ritonavir in patients with COVID‐19

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims The repurposed use of favipiravir in COVID‐19 has been reported to have limited clinical efficacy, yet it has been widely used in some countries. Favipiravir causes mutagenesis in RNA viruses, and it is currently unknown whether it may have a measurable effect on the virus in humans.
Akosua A. Agyeman   +9 more
wiley   +1 more source

Covariance Matrix Estimation

, 2016
Covariance matrix estimation allows the adaptation of Gaussian-based mutation operators to local solution space characteristics.
Oliver Kramer
semanticscholar   +2 more sources

An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix?

Universe, 2022
We investigate the statistics of the available Pantheon+ dataset. Noticing that the χ2 value for the best-fit ΛCDM model to the real data is small, we quantify how significant its smallness is by calculating the distribution of χ2 values for the best-fit
R. Keeley, A. Shafieloo, B. L’Huillier
semanticscholar   +1 more source

Augmented Covariance Matrix Reconstruction for DOA Estimation Using Difference Coarray

IEEE Transactions on Signal Processing, 2021
As is well known, nonuniform linear arrays have significant advantages in array aperture and degrees of freedom over uniform linear arrays. Using their difference coarrays, subspace-based approaches can be utilized to perform underdetermined and high ...
Zhi Zheng   +3 more
semanticscholar   +1 more source

DoA Estimation Using Neural Network-Based Covariance Matrix Reconstruction

IEEE Signal Processing Letters, 2021
In this paper, we discuss a new approach to direction of arrival estimation for systems with subarray sampling. We propose to estimate the covariance matrix of the full array from the sample covariance matrices of the subarrays using a neural network ...
Andreas Barthelme, W. Utschick
semanticscholar   +1 more source

Variational Bayesian adaptation of process noise covariance matrix in Kalman filtering

Journal of the Franklin Institute, 2021
Adaptive Kalman filtering with unknown constant or varying process noise covariance matrix is studied. A resolution is proposed to directly estimate or tune the process noise covariance matrix in Kalman filtering using variational Bayesian technique.
G. Chang   +3 more
semanticscholar   +1 more source

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