Results 81 to 90 of about 9,316 (295)
Applying a Dynamical Systems Model and Network Theory to Major Depressive Disorder
Frontiers in Psychology, 2019 Mental disorders like major depressive disorder can be modeled as complex dynamical systems. In this study we investigate the dynamic behavior of individuals to see whether or not we can expect a transition to another mood state.
Jolanda J. Kossakowski +3 more
doaj +1 more source
Stochastic transition model for pedestrian dynamics
, 2012 The proposed stochastic model for pedestrian dynamics is based on existing approaches using cellular automata, combined with substantial extensions, to compensate the deficiencies resulting of the discrete grid structure.
Schultz, Michael
core +1 more source
Advanced Healthcare Materials, EarlyView.We characterized the distribution of cargo proteins associated with extracellular vesicles using various exogenous loading methods. In all cases, single‐particle analysis revealed that the distribution of protein content per EV is heterogeneous, following an exponential decay function.
Karl Normak +6 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Transfer-matrix DMRG for stochastic models: The Domany-Kinzel cellular automaton
, 2001 We apply the transfer-matrix DMRG (TMRG) to a stochastic model, the Domany-Kinzel cellular automaton, which exhibits a non-equilibrium phase transition in the directed percolation universality class. Estimates for the stochastic time evolution, phase boundaries and critical exponents can be obtained with high precision.
Kemper, A. +2 more
openaire +2 more sources
Advanced Materials, EarlyView.Detecting proteins secreted by a single cell while retaining its viability remains challenging. A particles‐in‐particle (PiPs) system made by co‐encapsulating barcoded microparticles (BMPs) with a single cell inside an alginate hydrogel particle is introduced.
Félix Lussier +10 more
wiley +1 more source
PLoS Computational Biology, 2019 Quantification of the effect of spatial tumour sampling on the patterns of mutations detected in next-generation sequencing data is largely lacking. Here we use a spatial stochastic cellular automaton model of tumour growth that accounts for somatic ...
Ketevan Chkhaidze +7 more
doaj +1 more source
Stochastic Transition Model for Discrete Agent Movements
, 2010 We propose a calibrated two-dimensional cellular automaton model to simulate pedestrian motion behavior. It is a v=4 (3) model with exclusion statistics and random shuffled dynamics.
A. Johansson +7 more
core +1 more source
A Soft Microrobot for Single‐Cell Transport, Spheroid Assembly, and Dual‐Mode Drug Screening
Advanced Materials, EarlyView.A soft, untethered hydrogel microrobot enables precise single‐cell delivery, self‐assembly into 3D spheroids, and real‐time thermal actuation. Driven by light‐induced convection and embedded with gold nanorods and temperature sensors, the microrobot guides cells, modulates local microenvironments, and supports drug testing.
Philipp Harder +3 more
wiley +1 more source
Neighborhood Approximations for Non-Linear Voter Models
Entropy, 2015 Non-linear voter models assume that the opinion of an agent depends on the opinions of its neighbors in a non-linear manner. This allows for voting rules different from majority voting. While the linear voter model is known to reach consensus, non-linear
Frank Schweitzer, Laxmidhar Behera
doaj +1 more source