Results 151 to 160 of about 47,868,405 (301)

Impact of cumulative glucocorticoid exposure on vancomycin clearance in hospitalized children: A retrospective cohort study

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Prior glucocorticoid exposure is associated with modestly increased vancomycin clearance in hospitalized children, partly mediated by renal function and inflammation and may contribute to subtherapeutic early drug exposure. Abstract Introduction Augmented renal clearance (ARC) can lead to subtherapeutic vancomycin exposure in children.
Kouki Tomari   +6 more
wiley   +1 more source

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

open access: yesBiotechnology 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   +6 more
wiley   +1 more source

Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling

open access: yesBiotechnology and Bioengineering, EarlyView.
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro   +3 more
wiley   +1 more source

Discount curve estimation by monotonizing McCulloch Splines [PDF]

open access: yes
In this paper a new and very simple method for monotone estimation of discount curves is proposed. The main idea of this approach is a simple modification of the commonly used (unconstrained) Mc-Culloch Spline. We construct an integrated density estimate
Ziggel, Daniel, Dette, Holger
core  

Translating Blue Light Stimulation From Batch to Perfusion: Process and Intracellular Metabolic Analysis

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Improving cell‐specific productivity remains a central objective in biopharmaceutical manufacturing. In this study, the effect of blue light illumination on IgG1‐producing CHO DP‐12 cells was systematically evaluated across batch, fed‐batch, and perfusion cultivations in controlled 3 L bioreactor systems.
Stefanie Föller   +2 more
wiley   +1 more source

Spline Optimization : Spline optimization using genetic algorithm in AGV system

open access: yes, 2019
Splines are polynomial curves. They are used for example to model complicated shapes in computer programs and science. They can be also used to construct planes. Those planes can be used to easily model complicated surfaces. Splines are widely used also in 3D modeling, where models surfaces are defined with splines.
openaire   +1 more source

Decarbonization Boundary Choices and the Effectiveness of Stakeholder Engagement in Voluntary Climate Action Commitments: Evidence From Emerging Economies

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how stakeholder engagement, conceptualized as a boundary‐spanning organizational capability, interacts with firms' decarbonization strategies, in relation to climate action commitments (CACs) in voluntary initiatives.
David Tobón Orozco, Jose Pla‐Barber
wiley   +1 more source

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

open access: yesClinical 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   +13 more
wiley   +1 more source

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

open access: yesCereal 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   +7 more
wiley   +1 more source

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