3,791 research outputs found
Petri nets for systems and synthetic biology
We give a description of a Petri net-based framework for
modelling and analysing biochemical pathways, which uni¯es the qualita-
tive, stochastic and continuous paradigms. Each perspective adds its con-
tribution to the understanding of the system, thus the three approaches
do not compete, but complement each other. We illustrate our approach
by applying it to an extended model of the three stage cascade, which
forms the core of the ERK signal transduction pathway. Consequently
our focus is on transient behaviour analysis. We demonstrate how quali-
tative descriptions are abstractions over stochastic or continuous descrip-
tions, and show that the stochastic and continuous models approximate
each other. Although our framework is based on Petri nets, it can be
applied more widely to other formalisms which are used to model and
analyse biochemical networks
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An introduction to Biomodel engineering, illustrated for signal transduction pathways
BioModel Engineering is the science of designing, constructing
and analyzing computational models of biological systems. It is inspired
by concepts from software engineering and computing science.
This paper illustrates a major theme in BioModel Engineering, namely
that identifying a quantitative model of a dynamic system means building
the structure, finding an initial state, and parameter fitting. In our
approach, the structure is obtained by piecewise construction of models
from modular parts, the initial state is obtained by analysis of the structure
and parameter fitting comprises determining the rate parameters of
the kinetic equations. We illustrate this with an example in the area of
intracellular signalling pathways
Nonlinear thermoelectric response due to energy-dependent transport properties of a quantum dot
Quantum dots are useful model systems for studying quantum thermoelectric
behavior because of their highly energy-dependent electron transport
properties, which are tunable by electrostatic gating. As a result of this
strong energy dependence, the thermoelectric response of quantum dots is
expected to be nonlinear with respect to an applied thermal bias. However,
until now this effect has been challenging to observe because, first, it is
experimentally difficult to apply a sufficiently large thermal bias at the
nanoscale and, second, it is difficult to distinguish thermal bias effects from
purely temperature-dependent effects due to overall heating of a device. Here
we take advantage of a novel thermal biasing technique and demonstrate a
nonlinear thermoelectric response in a quantum dot which is defined in a
heterostructured semiconductor nanowire. We also show that a theoretical model
based on the Master equations fully explains the observed nonlinear
thermoelectric response given the energy-dependent transport properties of the
quantum dot.Comment: Cite as: A. Svilans, et al., Physica E (2015),
http://dx.doi.org/10.1016/j.physe.2015.10.00
From Petri Nets to differential equations: An integrative approach for biochemical network analysis
We report on the results of an investigation into the integration
of Petri nets and ordinary differential equations (ODEs) for the
modelling and analysis of biochemical networks, and the application of
our approach to the model of the influence of the Raf Kinase Inhibitor
Protein (RKIP) on the Extracellular signal Regulated Kinase (ERK)
signalling pathway. We show that analysis based on a discrete Petri net
model of the system can be used to derive the sets of initial concentrations
required by the corresponding continuous ordinary differential
equation model, and no other initial concentrations produce meaningful
steady states. Altogether, this paper represents a tutorial in step-wise
modelling and analysis of larger models as well as in structured design
of ODEs
Realization of a feedback controlled flashing ratchet
A flashing ratchet transports diffusive particles using a time-dependent,
asymmetric potential. Particle speed is predicted to increase when a feedback
algorithm based on particle positions is used. We have experimentally realized
such a feedback ratchet using an optical line trap, and observed that use of
feedback increases velocity by up to an order of magnitude. We compare two
different feedback algorithms for small particle numbers, and find good
agreement with simulations. We also find that existing algorithms can be
improved to be more tolerant to feedback delay times
A dynamic 1/f noise protocol to assess visual attention without biasing perceptual processing
Psychophysical paradigms measure visual attention via localized test items to which observers must react or whose features have to be discriminated. These items, however, potentially interfere with the intended measurement, as they bias observers' spatial and temporal attention to their location and presentation time. Furthermore, visual sensitivity for conventional test items naturally decreases with retinal eccentricity, which prevents direct comparison of central and peripheral attention assessments. We developed a stimulus that overcomes these limitations. A brief oriented discrimination signal is seamlessly embedded into a continuously changing 1/f noise field, such that observers cannot anticipate potential test locations or times. Using our new protocol, we demonstrate that local orientation discrimination accuracy for 1/f filtered signals is largely independent of retinal eccentricity. Moreover, we show that items present in the visual field indeed shape the distribution of visual attention, suggesting that classical studies investigating the spatiotemporal dynamics of visual attention via localized test items may have obtained a biased measure. We recommend our protocol as an efficient method to evaluate the behavioral and neurophysiological correlates of attentional orienting across space and time
Using polymer electrolyte gates to set-and-freeze threshold voltage and local potential in nanowire-based devices and thermoelectrics
We use the strongly temperature-dependent ionic mobility in polymer
electrolytes to 'freeze in' specific ionic charge environments around a
nanowire using a local wrap-gate geometry. This enables us to set both the
threshold voltage for a conventional doped substrate gate and the local
disorder potential at temperatures below 200 Kelvin, which we characterize in
detail by combining conductance and thermovoltage measurements with modeling.
Our results demonstrate that local polymer electrolyte gates are compatible
with nanowire thermoelectrics, where they offer the advantage of a very low
thermal conductivity, and hold great potential towards setting the optimal
operating point for solid-state cooling applications.Comment: Published in Advanced Functional Materials. Includes colour versions
of figures and supplementary informatio
A quantum-dot heat engine operating close to the thermodynamic efficiency limits
Cyclical heat engines are a paradigm of classical thermodynamics, but are
impractical for miniaturization because they rely on moving parts. A more
recent concept is particle-exchange (PE) heat engines, which uses energy
filtering to control a thermally driven particle flow between two heat
reservoirs. As they do not require moving parts and can be realized in
solid-state materials, they are suitable for low-power applications and
miniaturization. It was predicted that PE engines could reach the same
thermodynamically ideal efficiency limits as those accessible to cyclical
engines, but this prediction has not been verified experimentally. Here, we
demonstrate a PE heat engine based on a quantum dot (QD) embedded into a
semiconductor nanowire. We directly measure the engine's steady-state electric
power output and combine it with the calculated electronic heat flow to
determine the electronic efficiency . We find that at the maximum power
conditions, is in agreement with the Curzon-Ahlborn efficiency and that
the overall maximum is in excess of 70 of the Carnot efficiency
while maintaining a finite power output. Our results demonstrate that
thermoelectric power conversion can, in principle, be achieved close to the
thermodynamic limits, with direct relevance for future hot-carrier
photovoltaics, on-chip coolers or energy harvesters for quantum technologies
The Language Awareness of Finnish and German EFL Senior High School Learners and Student Teachers Regarding English Grammar and Its Teaching
The aim of this study is to examine and contrast the language awareness of Finnish and German EFL senior high school students and student teachers regarding aspects of English grammar and its teaching. Data was collected from Finland and Germany during the academic school years of 2015–16 and 2016–17. It consists of the responses to twosurvey questions of 1st year EFL senior high school students (n = 200 from Finland, n = 200 from Germany) andstudent teachers (n = 118 from Finland, n = 118 from Germany). The study utilizes both qualitative (content analysis) and quantitative (frequencies, percentages, cross tabulation [χ2-test]) research methods. The results show that the subjects’ awareness of English grammar and its teaching was mainly based on intuitive, implicit knowledge. It was difficult for both senior high school learners and student teachers to build a cognitive understanding that would increase their awareness of English grammar, and, as a result of this, its teaching, and respectively their grammar-related didactical competences.The aim of this study is to examine and contrast the language awareness of Finnish and German EFL senior high school students and student teachers regarding aspects of English grammar and its teaching. Data was collected from Finland and Germany during the academic school years of 2015–16 and 2016–17. It consists of the responses to two survey questions of 1st year EFL senior high school students (n = 200 from Finland, n = 200 from Germany) and student teachers (n = 118 from Finland, n = 118 from Germany). The study utilizes both qualitative (content analysis) and quantitative (frequencies, percentages, cross tabulation [χ2-test]) research methods. The results show that the subjects’ awareness of English grammar and its teaching was mainly based on intuitive, implicit knowledge. It was difficult for both senior high school learners and student teachers to build a cognitive understanding that would increase their awareness of English grammar, and, as a result of this, its teaching, and respectively their grammar-related didactical competences.Peer reviewe
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