Results 111 to 120 of about 29,215 (262)

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

Caffeine intake and late dry age-related macular degeneration: tea’s protective role—insights from NHANES and Mendelian randomization

International Journal of Retina and Vitreous
Background Although caffeine is widely consumed and has demonstrated neuroprotective effects, its role in age-related macular degeneration (AMD) remains unclear, particularly across disease subtypes and dietary sources such as tea and coffee.
Hongli Yang, Boshi Liu, Yunxi Zhang, Zhanhe Zhang, Huang Tan, Xiaorong Li   +5 more
doaj   +1 more source

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

Biotechnology 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, José Luis Checa‐Barrera, Juan A. Moreno‐Cid, Eoin Casey   +3 more
wiley   +1 more source

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

Business 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

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

When CSR Gaps Become Competitive Signals: How CEO Motivation Shapes Competitive Dissimilarity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Prior research has primarily examined corporate social responsibility (CSR) directed toward stakeholders such as investors, consumers, and regulators, signaling trustworthiness and positive moral character. However, nonmarket strategies such as CSR may also be interpreted by firms in relation to competitors, suggesting that CSR may influence ...
Sascha P. Klein
wiley   +1 more source

Mapping Corporate Environment, Social, and Governance Discourses: Analysis of Korean Companies' Sustainability Reports (2014–2024)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee, Sinjae Kang, Dian Wahyu Utami, Bohae Na   +3 more
wiley   +1 more source