Results 71 to 80 of about 246,303 (282)

Large deviations of the interference in the Ginibre network model

open access: yesStochastic Systems, 2014
Under different assumptions on the distribution of the fading random variables, we derive large deviation estimates for the tail of the interference in a wireless network model whose nodes are placed, over a bounded region of the plane, according to the ...
Giovanni Luca Torrisi, Emilio Leonardi
doaj   +1 more source

How Compressible are Innovation Processes?

open access: yes, 2018
The sparsity and compressibility of finite-dimensional signals are of great interest in fields such as compressed sensing. The notion of compressibility is also extended to infinite sequences of i.i.d.
Amini, Arash   +2 more
core   +1 more source

4D‐Printed Spin Crossover Metamaterials with Giant Programmable Positive or Negative Thermal Expansion

open access: yesAdvanced Materials, EarlyView.
Spin crossover composite filaments are implemented for the rational design of 4D‐printed mechanical metamaterials. The obtained bi‐material structures guided by a theoretical analysis based on analytical calculations and Finite Element Analysis simulations exhibit giant programmable positive or negative deformation with coefficients of thermal ...
Adelais Trapali   +7 more
wiley   +1 more source

Actuation of Cell Layers in Three Dimensions

open access: yesAdvanced Materials, EarlyView.
ABSTRACT The alignment of fibers and cells in living tissues affect their mechanical properties and functionality. In this context, one can draw an analogy between tissues and nematic liquid crystal elastomers. We explore this analogy by growing fibroblasts on 2D‐patterned substrates and observing the contraction of cell sheets upon detachment from the
Kirsten Endresen   +6 more
wiley   +1 more source

Propagation Models and Fitting Them for the Boolean Random Sets [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2010
In order to study the relationship between random Boolean sets and some explanatory variables, this paper introduces a Propagation model. This model can be applied when corresponding Poisson process of the Boolean model is related to explanatory ...
mojtaba Khazaei, Khalil Shafie
doaj  

Influence of multiplicative stochastic variation on translational elongation rates. [PDF]

open access: yesPLoS ONE, 2018
Experimental data indicate that stochastic effects exerted at the level of translation contribute substantially to the variation in abundance of proteins expressed at moderate to high levels.
Sandip Datta, Brian Seed
doaj   +1 more source

Wilson-Hilferty-type approximation for Poisson Random Variable

open access: yesAdvances in Science, Technology and Engineering Systems Journal, 2020
n ...
Giammatteo Paolo, Di Mascio Tania
openaire   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

open access: yesAdvanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang   +5 more
wiley   +1 more source

Statistical treatment of nuclear counting results [PDF]

open access: yesNuclear Technology and Radiation Protection, 2011
Since the exact time a specific nucleus undergoes radioactive decay cannot be specified, nor can showers caused by secondary cosmic rays be predicted, statistical laws play an important role in almost all cases of experimental nuclear physics.
Dolićanin Ćemal B.   +3 more
doaj   +1 more source

Bounds in Poisson Approximation for Random Sums of Bernoulli Random Variables

open access: yesJournal of Mathematics Research, 2012
Let $(X_n)$ be a sequence of Bernoulli random variables and $N$ a positive integer value random variable. Assume that $N, X_1, X_2,\ldots$ are independent. In this paper, we investigate uniform and non-uniform bounds in Poisson approximation for random sums $X_1+X_2+\cdots+X_N$.
Sasithorn Kongudomthrap   +1 more
openaire   +2 more sources

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