Results 211 to 220 of about 40,050 (303)

Machine Learning Models of Phase Contrast Images Predict Efficiency of Human Pluripotent Stem Cell Differentiation to Cardiomyocytes

Biotechnology and Bioengineering, EarlyView.
Human pluripotent stem cells were differentiated to cTnT+ cardiomyocytes and imaged throughout the process using phase contrast. We predicted differentiation efficiency (cTnT+ area) from phase contrast and compared model performance with a live‐cell cTnT‐GFP reporter.
Austin K. Feeney, Yaniv Ovadia, Aaron D. Simmons, Christian Elabd, Claire J. Peplinski, Frank Li, Sean P. Palecek   +6 more
wiley   +1 more source

A General Workflow for Tangential Flow Filtration Perfusion Scale‐Up

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Tangential flow filtration (TFF) perfusion using hollow‐fiber modules offers substantial advantages over other mammalian cell retention technologies. Recently, increased awareness of Starling flow has helped to enhance filtration performance to similar, or even higher levels compared to alternative technologies.
Patrick Romann, Ken Lee, Venkatesh Natarajan, Daniel Ley, Claes Nymand Nilsson, David Garcia‐Munzer, Dominik Schieman, Mahbod Hajighasemi, Alex Zaytsev, Jason Friedman, Loic Chappuis, Tobias Habicher, Colin Jaques, Alex Cohen, Matthew Gagnon, Edward Chan, Daniel J. Karst, Philip Giller, Antony Sibilia, Andrew L. Zydney, Thomas K. Villiger   +20 more
wiley   +1 more source

UNICORN TAVR in Native Complex Congenital Aortic Stenosis at High Risk of Coronary Obstruction. [PDF]

JACC Case Rep
Sharma H, Chadwick WJ, Franks R, Newton JD, Orchard E, Dawkins S, Cahill TJ.   +6 more
europepmc   +1 more source

GlycoMAC: A Multiscale Metabolic‐Glycosylation Framework for Predicting Glycosylation Across Conditions in Mammalian Cell Cultures

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, and macroscopic scales to predict how inputs shape bioprocess ...
Yuming Zeng, Sarah W. Harcum, Jinxiang Pei, Wei Xie   +3 more
wiley   +1 more source

Chorismate and isochorismate turnover reveal hidden dynamics of aromatic metabolism in Arabidopsis leaves. [PDF]

Plant Cell
Franks AE, Ford SA, Hu A, De Melo C, Evans SE, Bergman ME, Phillips MA.   +6 more
europepmc   +1 more source

pyFDRT: An open‐source Python tool for Fourier‐transform analysis of the distribution of relaxation times in electrochemical impedance spectra

Bulletin of the Korean Chemical Society, EarlyView.
pyFDRT is an open‐source tool that converts an impedance spectrum into a quantitative equivalent circuit. Its Fourier‐transform stage requires no discretization basis or regularization parameter, and the non‐negative refinement selects its own parameters, and an information criterion determines the relaxation process count.
Chung‐Yul Yoo, Jaeku Park, Jeongjin Kim   +2 more
wiley   +1 more source

Qualities of Effective Nutrition Education Interventions in Athletes: A Systematic Review and Meta-Analysis. [PDF]

Int J Exerc Sci
Boyum L, Gilmore B, Franks C, Kang M.
europepmc   +1 more source

Knowledge gaps and research directions in migration ecology for advancing the conservation of migratory songbirds

Biological Reviews, EarlyView.
ABSTRACT Understanding migration ecology is essential for effective conservation of migratory species. To achieve a comprehensive understanding of the ecology of migrating species, it is necessary to study how species react to the complex interplay of intrinsic and extrinsic conditions when optimizing their migratory journey in terms of survival ...
Daniel A. F. Bloche, Heiko Schmaljohann, Nir Sapir   +2 more
wiley   +1 more source

Influence of vapour pressure deficit and CO₂ on the thermal sensitivity of stomatal function in tropical trees. [PDF]

New Phytol
Cheesman AW, Cox P, Jones S, Middleby KB, Cernusak LA, Franks PJ.   +5 more
europepmc   +1 more source

Do Big Data Analytics and Artificial Intelligence Enhance Corporate Sustainability? The Moderating Roles of Regulation and Management Support

Business Strategy and the Environment, EarlyView.
ABSTRACT We examine the effects of big data analytics (BDA) and artificial intelligence (AI) on corporate sustainability performance, specifically investigating the influence of regulatory pressure and top management support. Utilizing hierarchical regression analysis on questionnaire data from 220 Chinese manufacturing firms, we find that both BDA and
Mandella Osei‐Assibey Bonsu, Li Kaodui, Linrong Zhang   +2 more
wiley   +1 more source