Results 31 to 40 of about 71,004,447 (289)
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Assessment of a Teaching Module for Cardiac Auscultation of Horses by Veterinary Students
Auscultation of heart sounds is an important veterinary skill requiring an understanding of anatomy, physiology, pathophysiology and pattern recognition.
Alyse Wood +2 more
doaj +1 more source
Evolution and current state of research into E-learning
This article aims to undertake a bibliometric review along with a conceptual and intellectual analysis of research on distance learning and e-learning. The purpose of this study is to focus on several academic fields and offer a comprehensive approach on
Aitor Martinez-Garcia +2 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Unsupervised Learning by Examples: On-line versus Off-line [PDF]
We study both on-line and off-line unsupervised learning from p random patterns which are uniformly distributed on the N-sphere with the exception of a single symmetry breaking orientation $\mathit{B}$, along which they may be arbitrarily distributed. Supervised learning from the same kind of patterns is included as a special case. In the thermodynamic
Van den Broeck, C., Reimann, Peter
openaire +2 more sources
Structure‐forward targeting of claudins with synthetic binders
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
An Extended TopoART Network for the Stable On-Line Learning of Regression Functions [PDF]
Tscherepanow M. An Extended TopoART Network for the Stable On-Line Learning of Regression Functions. In: Lu B-L, Zhang L, Kwok J, eds. Neural Information Processing : 18th International Conference, ICONIP 2011, November 13-17, 2011, Proceedings, Part II.
Kwok, James +4 more
core +1 more source
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
The current acceleration of digital transformation requires the adaptability of schools, teachers, students, and school partner institutions, namely the industry.
Isnaini Sholihan Abdurrahman +4 more
doaj +1 more source

