Results 151 to 160 of about 320,618 (297)

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

Selection and parameter optimization of bogie locking mechanism for variable gauge locomotives

机车电传动
Variable gauge locomotives require bogie locking mechanisms that are both structurally simple and reliable. This paper presents a locking mechanism that leverages the gravity of the wheelsets for unlocking and supports two locking modes: spline and flat ...
CHEN Bingshuo, HUANG Zhihui, YANG Chenglong, LI Zhihua, PENG Yueyang, TANG Jiacheng   +5 more
doaj  

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

Isogeometric suitable coupling methods for partitioned multiphysics simulation with application to fluid-structure interaction. [PDF]

Eng Comput
Li JY, Verhelst HM, den Besten H, Möller M.   +3 more
europepmc   +1 more source

Synergistic Effects of Normal‐Range Serum Sodium and Potassium on Mortality: The Modifying Role of Inflammation From a NHANES Cohort Analysis

Chronic Diseases and Translational Medicine, EarlyView.
Nonlinear associations of serum sodium levels with cardiovascular (A) and all‐cause mortality (B)among 32,837 adults. Nonlinear associations of serum potassium levels with cardiovascular (C) and all‐cause mortality (D) among 32,837 adults. ABSTRACT Background This study aimed to investigate the associations of serum sodium and potassium levels within ...
Haofeng Zhang, Fudong He, Zhenger Fang, Guangjun Zheng, Biying Zhou, Xia Chen, Mingliang Liu, Guang Hao   +7 more
wiley   +1 more source

TEMPORAL MODELS FOR ESTIMATION AND SHORT-TERM FORECASTING OF NEONATAL MORTALITY RATES IN SUB-SAHARAN AFRICA. [PDF]

Ann Appl Stat
Paulson KR, Fuglstad GA, Li ZR, Wakefield J.   +3 more
europepmc   +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

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model. [PDF]

Elife
Kong L, Zottig X, Elferich J, Grigorieff N.   +3 more
europepmc   +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