Results 71 to 80 of about 32,647 (196)

Adverse Childhood Experiences in Autistic and Neurotypical Girls

Autism Research, EarlyView.
ABSTRACT Adverse childhood experiences (ACEs) are potentially traumatic, life‐altering events that occur in childhood with long‐term negative physical and/or mental health outcomes. Previous research, while limited and largely focused on males, suggests children with autism spectrum disorder (ASD) are at higher risk of experiencing ACEs than typically ...
Jon Ebert, Rachael A. Muscatello, Trey McGonigle, Simon Vandekar, Blythe A. Corbett   +4 more
wiley   +1 more source

Completion vs. early discontinuation of chemotherapy and the impact on 5‐year all‐cause mortality in women treated for early‐stage breast cancer from 2015 to 2020: A cohort study using a target trial emulation approach

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim Chemotherapy is given for early‐stage breast cancer; however, some patients discontinue before completing all planned cycles. This study investigated the impact of early chemotherapy discontinuation on treatment outcomes. Methods This retrospective cohort study used a target trial emulation framework to conduct a causal analysis of the all‐
Luke Steventon, Chengsheng Ju, Kenneth K. C. Man, Rebecca Roylance, Diego Ottaviani, Chiara Creed, Michal Sladkowski, Alec Wisner, Li Wei, Pinkie Chambers   +9 more
wiley   +1 more source

Influence of Zn2+ and Oxygen Supply on Malic Acid Production and Growth of Aspergillus oryzae

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Malic acid is a valuable platform chemical traditionally derived from fossil‐based resources. Microbial cultivation with Aspergillus oryzae offers a sustainable alternative based on renewable feedstocks. In this study, a well‐established minimal medium for malic acid production, commonly used in previous research to ensure reproducibility, was
Lukas Hartmann, Anke Neumann, Dirk Holtmann, Katrin Ochsenreither   +3 more
wiley   +1 more source

On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal products (ATMPs). However, the reliance on suboptimal batch and/or fed‐batch processes, as well as the diversity and increasing complexity of plasmid constructs pose significant challenges during
Nikolaos Stratis, Massimo Morbidelli, Alexandros Kiparissides   +2 more
wiley   +1 more source

Impact of Agitation Power Input on Aspergillus oryzae Metabolism: Application of Multi‐Omics on an Industrial Enzyme Fermentation

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The agitation power input substantially impacts the oxygen transfer rate in aerobic fermentation processes. Furthermore, in a carbon‐limited process where the substrate feed rate is controlled by the concentration of dissolved oxygen, the power input will consequently govern the feed rate.
Mariana Albino, Jean‐Marie Mouillon, Gisela Nadal‐Rey, Carina L. Gargalo, Ulrich Krühne, Krist V. Gernaey, Mads O. Albæk   +6 more
wiley   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

Clinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko   +13 more
wiley   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
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

Edge Fluid Turbulence Simulations of Stellarators With GRILLIX

Contributions to Plasma Physics, EarlyView.
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir, Christoph Pitzal, Barnabas Csillag, Miguel Madeira, Marion Finkbeiner   +4 more
wiley   +1 more source