Results 71 to 80 of about 63,942 (286)
Stochastic High-level Petri Nets and Applications
A class of stochastic Petri nets called stochastic high-level Petri nets (SHLPNs) is proposed. SHLPNs are high-level Petri nets augmented with exponentially distributed firing times. SHLPNs generally lead to models with a smaller state space. A computer marking concept is introduced that allows a considerable reduction of the number of states and ...
Lin, Chuang, Marinescu, Dana Cristian
openaire +3 more sources
Our data show that suppressing IRF2, genetically or by siRNA, modulates PD‐L1 and MHC‐I levels. This induced immune‐evasive state critically underlies the significantly prolonged survival of cardiac allografts, revealing a novel therapeutic avenue.
Li Tian +5 more
wiley +1 more source
A new graphical framework, Abridged Petri Nets (APNs) is introduced for bottom-up modeling of complex stochastic systems. APNs are similar to Stochastic Petri Nets (SPNs) in as much as they both rely on component-based representation of system state ...
Volovoi, Vitali
core
Survivability model for reconfigurable service carrying network based on the stochastic Petri net
Aiming at the defect that the security attribute of RSCN couldn't be described with measurement,a survivabil-ity model for RSCN was proposed based on the stochastic Petri net.Firstly,a non-Markovian stochastic Petri net for RSCN was proposed,and then the
Liang ZHAO, Hong ZOU, Xiao-hui ZHANG
doaj +2 more sources
ABSTRACT Policy subsystems are comprised of competing advocacy coalitions, in which public and private political actors with shared belief systems learn from each other and coordinate their strategies in the pursuit of influencing policy making in their favor.
Kristijan Garic, Philip Leifeld
wiley +1 more source
Computational models for inferring biochemical networks [PDF]
Biochemical networks are of great practical importance. The interaction of biological compounds in cells has been enforced to a proper understanding by the numerous bioinformatics projects, which contributed to a vast amount of biological information ...
Crina Grosan +20 more
core +1 more source
Alignment of the Starlings: Learning With Generative AI
ABSTRACT I will argue that answers to normative questions concerning the place of generative AI in learning rest on answers to ontological questions regarding (1) precisely what is happening when a human ‘interacts’ with generative AI and (2) What is distinctive about organic learning as opposed to currently existing ‘machine learning’ (3) What is the ...
Sean Watson
wiley +1 more source
About Dynamical Systems Appearing in the Microscopic Traffic Modeling [PDF]
Motivated by microscopic traffic modeling, we analyze dynamical systems which have a piecewise linear concave dynamics not necessarily monotonic. We introduce a deterministic Petri net extension where edges may have negative weights.
Farhi, Nadir +2 more
core
Soft Micromanipulation Robot for Real‐Time Adaptive Multimodal Operation
This manuscript proposes a soft micromanipulator robot (SMR) for “full‐angle” precision biomedical operations. Bio‐inspired SMR achieves omnidirectional motion, micrometer precision, and multimodal capabilities including aspiration, transfer, rotation, assembly, injection, and cutting.
Zhuowei Li +8 more
wiley +1 more source
VHSV and IHNV molecular detection in environmental samples was tested in controlled infection trials. We show that, in water, detected viral eRNA copies correlate with infectious particle numbers. After comparison of viral concentration methods from water, we demonstrate the feasibility of filter‐based eRNA detection in IHNV‐positive aquaculture farms.
Giulia Zarantonello +5 more
wiley +1 more source

