Results 31 to 40 of about 763,038 (282)
Incompressible viscous flow near the leading edge of a flat plate admitting slip [PDF]
The shear stress at the leading edge, calculated on basis of the Navier-Stokes equations and the no-slip boundary condition, approaches infinity. However, taking into account the mean free path of the molecules, which implies admitting a certain slip ...
A. E. P. Veldman +6 more
core +1 more source
Background Vascular endothelial cells (ECs) are subject to continuous shear stress due to blood circulation. Mechanical stress due to high shear flow can also cause arteriovenous malformation (AVM) when ECs respond hyper-sensitively to shear flow.
Jeong Yeop Ryu +12 more
doaj +1 more source
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
A non-monotonic constitutive model is not necessary to obtain shear banding phenomena in entangled polymer solutions [PDF]
In 1975 Doi and Edwards predicted that entangled polymer melts and solutions can have a constitutive instability, signified by a decreasing stress for shear rates greater than the inverse of the reptation time.
J. M. Adams, M. Doi, P. D. Olmsted
core +3 more sources
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
A machine learning-based method for predicting the shear behaviors of rock joints
In this study, machine learning prediction models (MLPMs), including artificial neural network (ANN), support vector regression (SVR), K-nearest neighbors (KNN), and random forest (RF) algorithms, were developed to predict the peak shear stress values ...
Liu He +4 more
doaj +1 more source
Mechanical properties of a coiled tubing blowout preventer ram in the shearing process
A shear ram is of great significance to ensuring the safe operation of oil/gas well drilling and production, but the mechanical properties of the ram itself in the shearing process are rarely researched.
Bing Liu +5 more
doaj +1 more source
A simple model for heterogeneous flows of yield stress fluids
Various experiments evidence spatial heterogeneities in sheared yield stress fluids. To account for heterogeneities in the velocity gradient direction, we use a simple model corresponding to a non-monotonous local constitutive curve and study a simple ...
Ajdari, A. +3 more
core +2 more sources
The influence of consolidation on shear test results [PDF]
Measurements of the yield behaviour of a cohesive bulk solid in the Jenike shear tester are normally done in two steps. First, pre-shearing to a steady state yielding, and secondly, shearing under a lower normal stress to establish the shear stress at ...
Haaker, G.
core +2 more sources
IqgC is a RasGAP from Dictyostelium discoideum. IqgC binds RasG via its RasGAP domain and deactivates it on macroendocytic cups, thereby suppressing the uptake of fluid and particles. IqgC has a positive effect on cell‐substratum adhesion, and its RGCt domain is required for recruitment to ventral foci.
Vedrana Filić +3 more
wiley +1 more source

