Results 31 to 40 of about 185,145 (291)
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
A COMPARATIVE STUDY OF THE APPLICATION OF DIFFERENT TCD IN CRANKSHAFT FATIGUE PROPERTY PREDICTION
This paper,focus on the crankshaft bending fatigue property prediction research,first analyzes the stress distribution fitting approach based on a stress gradient approach,then the fatigue property of the crankshaft with the same material but different ...
SUN SongSong, WAN MaoSong, XU XiaoMei
doaj
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
Pre-Service Teachers’ Academic Identity and their Lived Experiences in Remote Learning: The New Normal in Curriculum Practice [PDF]
Research ArticleThe Ministry of Tertiary Institutions of South Africa charged post-secondary institutions to implement measures to achieve the government's social distancing policy.
Mphuthi, Mochina, Tshelane, Molaodi
core +1 more source
The theory of critical distances applied to problems in fracture and fatigue of bone
The theory of critical distances (TCD) has been applied to predict notch-based fracture and fatigue in a wide range of materials and components. The present paper describes a series of projects in which we applied this approach to human bone. Using experimental data from the literature, combined with finite element analysis, we showed that the TCD was ...
Taylor, David +2 more
openaire +6 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Internal consistency reliability and construct validity of the Attitude toward Muslim Proximity Index (AMPI): a measure of social distance [PDF]
The Attitude toward Muslim Proximity Index (AMPI) is a six-item scale that uses tolerance to different degrees of social distance to assess prejudice towards Muslims. It was tested on 1777 teenage school children from northern England who indicated their
Village, Andrew +2 more
core +1 more source
Simulating stochastic fluid dynamics [PDF]
We present simulations of the real time dynamics of a fluid in the vicinity of a critical endpoint in the phase diagram. The relevant hydrodynamic theory is known as model H, and it is expected to describe the long-distance dynamics of QCD matter in the ...
Chattopadhyay Chandrodoy +3 more
doaj +1 more source
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

