scholarly journals A computational framework for evaluating the role of mobility on the propagation of epidemics on point processes

2021 ◽  
Vol 84 (1-2) ◽  
Author(s):  
François Baccelli ◽  
Nithin Ramesan
Keyword(s):  
Point Processes ◽  
Computational Framework

Microstructural Size Dependency in Nonlinear Lateral Stability of Random Reinforced Microshells via Meshfree-Based Applied Mathematical Modeling

2021 ◽  
pp. 2150164
Author(s):  
Jie-Hua Sun ◽  
Zhi-Dong Zhou ◽  
Saeid Sahmani ◽  
Babak Safaei
Keyword(s):  
Research Work ◽  
Meshfree Method ◽  
Resin Matrix ◽  
Small Scale ◽  
Lateral Stability ◽  
Computational Framework ◽  
Probabilistic Technique ◽  
Prime Objective ◽  
Shear Deformable

The prime objective of this research work is to develop an efficient small scale-dependent computational framework incorporating microstructural tensors of dilatation gradient, rotation gradient, and deviatoric stretch gradient to analyze nonlinear lateral stability of cylindrical microshells. The numerical strategy is established based upon a mixed formation of the third-order shear deformable shell model and modified strain gradient continuum mechanics. The graphene nanoplatelet reinforcements are assumed to be randomly dispersed in a checkerboard scheme within the resin matrix. Accordingly, to extract the effective material properties, the Monte Carlo simulation together with a probabilistic technique are employed. The numerical solution for the microstructural-dependent nonlinear problem is carried out via the moving Kriging meshfree method having the capability to accommodate accurately the essential boundary conditions using proper moving Kriging shape function. It is represented that the role of the stiffening characters related to the effect of microstructural dilatation gradient, rotation gradient, and deviatoric stretch reduces continuously by going to deeper territory of the load-deflection stability path. Moreover, it is indicated that among various microstructural gradient tensors, the stiffening character of the rotation gradient is higher than deviatoric stretch gradient, and the stiffening character of the latter is more considerable than the dilatation gradient tensor.

scholarly journals The pervasive role of pragmatics in early language

2019 ◽  
Author(s):  
Manuel Bohn ◽  
Michael C. Frank
Keyword(s):  
Language Learning ◽  
Common Ground ◽  
Social Cues ◽  
Social Reasoning ◽  
Early Language ◽  
Computational Framework ◽  
Linguistic Pragmatics ◽  
Developmental Continuity ◽  
Pragmatic Reasoning

Language is a fundamentally social endeavor. Pragmatics is the study of how speakers and listeners use social reasoning to go beyond the literal meanings of words to interpret language in context. In this review, we take a pragmatic perspective on language development and argue for developmental continuity between early non-verbal communication, language learning, and linguistic pragmatics. We link phenomena from these different literatures by relating them to a computational framework (the rational speech act framework), which conceptualizes communication as fundamentally inferential and grounded in social cognition. The model specifies how different information sources (linguistic utterances, social cues, common ground) are combined when making pragmatic inferences. We present evidence in favor of this inferential view and review how pragmatic reasoning supports children’s learning, comprehension, and use of language.

scholarly journals Functional cross-talk between allosteric effects of activating and inhibiting ligands underlies PKM2 regulation

2018 ◽  
Author(s):  
Jamie A. Macpherson ◽  
Alina Theisen ◽  
Laura Masino ◽  
Louise Fets ◽  
Paul C. Driscoll ◽  
...  
Keyword(s):  
Enzymatic Activity ◽  
High Activity ◽  
Pyruvate Kinase ◽  
Cross Talk ◽  
Glycolytic Enzyme ◽  
Computational Framework ◽  
Allosteric Inhibitor ◽  
Fructose 1,6 Bisphosphate ◽  
Low Activity

ABSTRACTAllosteric regulation is central to the role of the glycolytic enzyme pyruvate kinase M2 (PKM2) in cellular metabolism. Multiple activating and inhibitory allosteric ligands regulate PKM2 activity by controlling the equilibrium between high activity tetramers and low activity dimers and monomers. However, it remains elusive how allosteric inputs upon simultaneous binding of different ligands are integrated to regulate PKM2 activity. Here, we show that, in the presence of the allosteric inhibitor L-phenylalanine (Phe), the activator fructose 1,6-bisphosphate (FBP) can induce PKM2 tetramerisation, but fails to maximally increase enzymatic activity. Guided by a new computational framework we developed to identify residues that mediate FBP-induced allostery, we generated two PKM2 mutants, A327S and C358A, in which activation by FBP remains intact but cannot be attenuated by Phe. Our findings demonstrate a role for residues involved in FBP-induced allostery in enabling the integration of allosteric input from Phe and reveal a mechanism that underlies the co-ordinate regulation of PKM2 activity by multiple allosteric ligands.

scholarly journals The Pervasive Role of Pragmatics in Early Language

2019 ◽  
Vol 1 (1) ◽  
pp. 223-249 ◽  
Author(s):  
Manuel Bohn ◽  
Michael C. Frank
Keyword(s):  
Language Learning ◽  
Common Ground ◽  
Social Cues ◽  
Social Reasoning ◽  
Early Language ◽  
Computational Framework ◽  
Linguistic Pragmatics ◽  
Developmental Continuity ◽  
Pragmatic Reasoning

Language is a fundamentally social endeavor. Pragmatics is the study of how speakers and listeners use social reasoning to go beyond the literal meanings of words to interpret language in context. In this article, we take a pragmatic perspective on language development and argue for developmental continuity between early nonverbal communication, language learning, and linguistic pragmatics. We link phenomena from these different literatures by relating them to a computational framework (the rational speech act framework), which conceptualizes communication as fundamentally inferential and grounded in social cognition. The model specifies how different information sources (linguistic utterances, social cues, common ground) are combined when making pragmatic inferences. We present evidence in favor of this inferential view and review how pragmatic reasoning supports children's learning, comprehension, and use of language.

Fluidic Deformation Under Hypervelocity Impacts

2014 ◽  
Author(s):  
Andrew Thurber ◽  
Javid Bayandor
Keyword(s):  
Hypervelocity Impact ◽  
Orbital Debris ◽  
Inertial Forces ◽  
Impact Event ◽  
Aerospace Materials ◽  
Computational Framework ◽  
Hypervelocity Impacts ◽  
Dramatic Rise ◽  
Impact Risk

The increased frequency of exploration into space has caused a dramatic rise in the density of debris in orbit. Orbital debris, both natural and man-made, poses an extreme impact risk to satellites and spacecraft. The relative velocities between orbital components and debris can exceed thousands of meters per second, giving rise to immense kinetic energies even for small objects. In such a hypervelocity impact event, the shock pressures exceed the strength of common aerospace materials, and brief shock-induced temperature rises cause melting and vaporization of most structural bodies. Under these extreme conditions, the failure and deformation of solids can resemble fluid flow. By using meshless Lagrangian models in an explicit computational framework, this work identifies analogous fluidic interactions and further quantifies the role of shear and inertial forces in hypervelocity impacts (HVI).

scholarly journals Diverse noncoding mutations contribute to deregulation of cis-regulatory landscape in pediatric cancers

2019 ◽  
Author(s):  
Bing He ◽  
Peng Gao ◽  
Yang-Yang Ding ◽  
Chia-Hui Chen ◽  
Gregory Chen ◽  
...  
Keyword(s):  
Joint Analysis ◽  
General Strategy ◽  
Expression Data ◽  
Full Spectrum ◽  
Computational Framework ◽  
Small Indels ◽  
Pediatric Cancers ◽  
Cancer Genomes ◽  
Regulatory Landscape

AbstractInterpreting the function of noncoding mutations in cancer genomes remains a major challenge. Here we developed a computational framework to identify risk noncoding mutations of all classes by joint analysis of mutation and gene expression data. We identified thousands of SNVs/small indels and structural variants as candidate risk mutations in five major pediatric cancers. We experimentally validated the oncogenic role of CHD4 overexpression via enhancer hijacking in B-ALL. We observed a general exclusivity of coding and noncoding mutations affecting the same genes and pathways. We showed that integrated mutation signatures can help define novel patient subtypes with different clinical outcomes. Our study introduces a general strategy to systematically identify and characterize the full spectrum of noncoding mutations in cancers.

scholarly journals A Teaching Resource for a Computational Framework of the Value of Information in Origin of Life

2018 ◽  
Author(s):  
soumya banerjee ◽  
joyeeta ghose
Keyword(s):  
Complex Systems ◽  
Origin Of Life ◽  
Value Of Information ◽  
Critical Role ◽  
Computational Framework ◽  
Teaching Resource ◽  
Processing Information ◽  
The Origin Of Life ◽  
Role Of Information

Information plays a critical role in complex biological systems. Complex systems like immune systems andant colonies co-ordinate heterogeneous components in a decentralized fashion. How do these distributeddecentralized systems function? One key component is how these complex systems efficiently processinformation. These complex systems have an architecture for integrating and processing information comingin from various sources and points to the value of information in the functioning of different complexbiological systems. This paper is a teaching resource that explains the role of information processing inquestions around the origin of life and suggests how computational simulations may yield insights intoquestions related to the origin of life.

scholarly journals RNAModR: Functional analysis of mRNA modifications in R

2016 ◽  
Author(s):  
Maurits Evers ◽  
Andrew Shafik ◽  
Ulrike Schumann ◽  
Thomas Preiss
Keyword(s):  
Statistical Evaluation ◽  
R Package ◽  
Wide Distribution ◽  
Messenger Rnas ◽  
Computational Framework ◽  
Site Distribution ◽  
Mrna Structure ◽  
Gene Level ◽  
Insight Into

AbstractMotivationResearch in the emerging field of epitranscriptomics is increasingly generating comprehensive maps of chemical modifications in messenger RNAs (mRNAs). A computational framework allowing a reproducible and standardised analysis of these mRNA modification data is missing, but will be crucial for reliable functional meta-gene analyses and cross-study comparisons.ResultsWe have developed RNAModR, an open-source and R-based set of methods, to analyse and visualise the transcriptome-wide distribution of mRNA modifications. RNAModR allows the statistical evaluation of the mRNA modification site distribution relative to null sites on a meta-gene level, providing insight into the functional role of these mRNA modifications on e.g. mRNA structure and stability.Availability and implementationRNAModR is available under the GNU General Public License (GPL) as an R-package from https://github.com/mevers/[email protected]

scholarly journals Diverse noncoding mutations contribute to deregulation of cis-regulatory landscape in pediatric cancers

2020 ◽  
Vol 6 (30) ◽  
pp. eaba3064
Author(s):  
Bing He ◽  
Peng Gao ◽  
Yang-Yang Ding ◽  
Chia-Hui Chen ◽  
Gregory Chen ◽  
...  
Keyword(s):  
Joint Analysis ◽  
General Strategy ◽  
Expression Data ◽  
Full Spectrum ◽  
Computational Framework ◽  
Small Indels ◽  
Pediatric Cancers ◽  
Cancer Genomes ◽  
Regulatory Landscape

Interpreting the function of noncoding mutations in cancer genomes remains a major challenge. Here, we developed a computational framework to identify putative causal noncoding mutations of all classes by joint analysis of mutation and gene expression data. We identified thousands of SNVs/small indels and structural variants as putative causal mutations in five major pediatric cancers. We experimentally validated the oncogenic role of CHD4 overexpression via enhancer hijacking in B-ALL. We observed a general exclusivity of coding and noncoding mutations affecting the same genes and pathways. We showed that integrated mutation profiles can help define novel patient subtypes with different clinical outcomes. Our study introduces a general strategy to systematically identify and characterize the full spectrum of noncoding mutations in cancers.

A limit theorem for point processes by applications

1978 ◽  
Vol 15 (04) ◽  
pp. 726-747
Author(s):  
Prem S. Puri
Keyword(s):  
Limit Theorem ◽  
Point Process ◽  
Random Vector ◽  
Arbitrary Function ◽  
Point Processes ◽  
Probability Generating Function ◽  
Mild Conditions ◽  
Dimensional Distribution ◽  
Image Position

Let 0 ≦ T 1 ≦ T 2 ≦ ·· · represent the epochs in time of occurrences of events of a point process N(t) with N(t) = sup{k : Tk ≦ t}, t ≧ 0. Besides certain mild conditions on the process N(t) (see Conditions (A1)– (A3) in the text) we assume that for every k ≧ 1, as t →∞, the vector (t – TN (t), t – TN (t)–1, · ··, t – TN (t)–k+1) converges in law to a k-dimensional distribution which coincides with that of a random vector ξ k = (ξ 1, · ··, ξ k ) necessarily satisfying P(0 ≦ ξ 1 ≦ ξ 2 ≦ ·· ·≦ ξ k) = 1. Let R(t) be an arbitrary function defined for t ≧ 0, satisfying 0 ≦ R(t) ≦ 1, ∀0 ≦ t <∞, and certain mild conditions (see Conditions (B1)– (B4) in the text). Then among other results, it is shown that The paper also deals with conditions under which the limit (∗) will be positive. The results are applied to several point processes and to the situations where the role of R(t) is taken over by an appropriate transform such as a probability generating function, where conditions are given under which the limit (∗) itself will be a transform of an honest distribution. Finally the results are applied to the study of certain characteristics of the GI/G/∞ queue apparently not studied before.

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