Large deformability and high sensitivity is difficult to be realized simultaneously in flexible sensors. Herein, taking advantage of the permittivity highly active surfaces ultrasmall barium titanate nanoparticles (BT NPs) stretchability p(BA-GMA) elastomer matrix, we propose a high-performance soft stretchable sensor. The addition BT NPs can not only increase capacitance polyacrylate-matrix co...

We extend the algorithm for matching fixed-order tree-level matrix element generators with the Dipole Cascade Model in ARIADNE to apply to processes with incoming hadrons. We test the algoritm on for the process W+n jets at the Tevatron, and find that the results are fairly insensitive to the cutoff used to regularize the soft and collinear divergencies in the tree-level matrix elements. We als...

Abstract Objective The spheroid model provides a physiological platform to study cancer cell biology and drug sensitivity. Usage of bovine collagen I for assays is costly especially when experiments are conducted in 24-well plates, as high volume needed. aim the was downsize microfluidic 3D culture chip compare growth, invasion response drug/compound spheroids embedded plates. Results Spheroids...

Aim: Heart disease detection using machine learning methods has been an outstanding research topic as heart diseases continue to be a burden on healthcare systems around the world. Therefore, in this study, performances of for predictive classification coronary were compared.Material and Method: In three different models created with Random Forest (RF), Logistic Regression (LR), Support Vector ...

Symbol Name N = (nil) stoichiometric matrix W = (wli) regulation matrix s = (si) vector of stationary metabolite concentrations j = (jl) vector of stationary fluxes vl(·) kinetic law of reaction l k i energy constant for metabolite i k l velocity constant for reaction l k li reactant constant for reaction l and metabolite i k li activation constant for reaction l and metabolite i k li inhibitio...

New perturbation analyses are presented for the block Cholesky downdating problem U T U = R T R ? X T X. These show how changes in R and X alter the Cholesky factor U. There are two main cases for the perturbation matrix R in R: (1) R is a general matrix; (2))R is an upper triangular matrix. For both cases, rst order perturbation bounds for the downdated Cholesky factor U are given using two ap...

Matrix effects like signal enhancement or suppression can severely compromise quantitative analysis of environmental samples with liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS). Several operational options were studied to reduce such matrix effects in the determination of polar organic trace contaminants from water, like non-steroidal anti-inflammatory drugs, among ...

This paper reviews governing theorems in electrical impedance sensing for analysing the relationships of boundary voltages obtained from different sensing strategies. It reports that both the boundary voltage values and the associated sensitivity matrix of an alternative sensing strategy can be derived from a set of full independent measurements and sensitivity matrix obtained from other sensin...

Variability in population growth rate is thought to have negative consequences for organism fitness. Theory for matrix population models predicts that variance in population growth rate should be the sum of the variance in each matrix entry times the squared sensitivity term for that matrix entry. I analyzed the stage-specific demography of 30 field populations from 17 published studies for pat...

Abstract A new, analytical approach using the cumulant method is proposed for three-phase probabilistic power-flow (PPF) analysis. The to forming sensitivity matrix based on quantifying pseudo-inverse instead of inverse jacobian matrix, since it commonly singular in a distribution power network. results are compared with those obtained point-estimate (PEM) and Monte Carlo (MC) method, which use...