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Spiking neural p systems with neuron division and budding

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Science China(Information Sciences) 2011年第8期54卷 1596-1607页

作者： p■UN Gheorghe prez-j.mnez mario j. Department of Computer Science and Artificial Intelligence University of Sevilla Avda Reina mercedes s/n 41012 Sevilla Spain Institute of mathematics of the Romanian Academy pO Box 1-764 014700 Bucuresti Romania

Spiking neural p systems are a class of distributed and parallel computing models inspired by spiking *** this work,the features of neuron division and neuron budding are introduced into the framework of spiking neural p systems,which are processes inspired by neural stem cell division. With neuron division and neuron budding,a spiking neural p system can generate exponential work space in polynomial time as the case for p systems with active *** this way,spiking neural p systems can efficiently solve computationally hard problems by means of a space-time tradeoff,which is illustrated with an efficient solution to SAT problem.

关键词： natural computing membrane computing spiking neural p system neuron division

A Fault Diagnosis method of power Systems Based on an Improved Adaptive Fuzzy Spiking Neural p Systems and pSO Algorithms

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Chinese j.urnal of Electronics 2016年第2期25卷 320-327页

作者： WANG j.n pENG Hong TU min prez-j.mnez j. mario SHI peng School of Electrical and Information Engineering Xihua University Neij.ang power Supply Company 5. Department of Computer Science and Artificial Intelligence University of Seville 6. School of Electrical and Electronic Engineeringthe University of Adelaide Sichuan province Key Laboratory of power Electronics Energy-saving Technologies and Equipment Center for Radio Administration and Technology Development Xihua University

A new fault diagnosis method based on improved Adaptive fuzzy spiking neural p systems(in short,AFSN p systems) and particle swarm optimization(pSO)algorithm is presented to improve the efficiency and accuracy of diagnosis for power systems in this paper. AFSN p systems are a novel kind of computing models with parallel computing and learning ability. Based on our previous works, this paper focuses on AFSN p systems inference algorithms and learning algorithms and builds the fault diagnosis model using improved AFSN p systems for diagnosing effectively. The process of diagnosis based on AFSN p systems is expressed by matrix successfully to improve the rate of diagnosis eminently. Furthermore, particle swarm optimization algorithm is introduced into the learning algorithm of AFSN p systems, thus the convergence speed of diagnosis has a big progress. An example of 4-node system is given to verify the effectiveness of this method. Compared with the existing methods, this method has faster diagnosis speed, higher accuracy and strong ability to adapt to the grid topology changes.

关键词： Fault diagnosis power systems member Computing AFSN p systems particle swarm optimization algorithm

Cellular modelling using p systems and process algebra

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progress in Natural Science:materials International 2007年第4期17卷 375-383页

作者： Francisco j. Romero-Campero marian Gheorghe Gabriel Ciobanu j.hn m. Auld mario j. pérez-j.ménez Research Group on Natural Computing Department of Computer Science and Artificial IntelligenceUniversity of SevilleAvda.Reina Mercedes41012 SevillaSpain Department of Computer Science The University of Sheffield Regent CourtPortobello StreetSheffield S1 4DPUK Romanian Academy Institute of Computer ScienceBlvd. Carol I nr. 11700505IasiRomania

In this paper various molecular chemical interactions are modelled under different computational paradigms. p systems andπ-calculus are used to describe intra-cellular reactions like protein-protein interactions and ... 详细信息

关键词： cellular modelling p systems process algebra.

Simulating FAS-induced apoptosis by using p systems

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progress in Natural Science:materials International 2007年第4期17卷 424-431页

作者： Smitha Cheruku Andrei pǎun Francisco j. Romero-Campero mario j. pérez-j.ménez Oscar H. Ibarra Department of Computer Science/Ifm Louisiana Tech UniversityP.O. Box 10348RustonLA 71272USA Department of Computer Science and Artificial Intelligence University of SevilleAvda. Reina Mercedes s/n 41012SevillaSpain Department of Computer Science University of California-Santa BarbaraSanta BarbaraCA 93106USA

In contrast to differential equations, p systems are an unconventional model of computation which takes into consideration the discrete character of the quantity of components and the inherent randomness that exists in biological phenomena. The key feature of p systems is their compartmentalised structure which represents the heterogeneity of the structural organisation of the cells, and where one can take into account the role played by membranes in the functioning of the system, for example signalling at the cell surface, selective uptake of substances from the media, diffusion across different compartments, etc. We show here that p systems can be a reliable tool for Systems Biology and could even outperform in some cases the current simulation techniques based on differential equations. We will also use a strategy based on the well known Gillespie algorithm but running on more than one compartment called multi-compartmental Gillespie Algorithm.

关键词： FAS-induced apoptosis p systems deterministic waiting times algorithm multi-compartmental Gillespie algorithm.

How to express tumours using membrane systems

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progress in Natural Science:materials International 2007年第4期17卷 449-457页

作者： miguel A. Gutiérrez-Naranj. mario j. pérez-j.ménez Agustín Riscos-Núez Francisco j. Romero-Campero Department of Computer Science and Artificial Intelligence University of Seville Avda. Reina Mercedes s/n41012SevillaSpain

In this paper we discuss the potential usefulness of membrane systems as tools for modelling tumours. The approach is followed both from a macroscopic and a microscopic point of view. In the first case, one considers the tumour as a growing mass of cells, focusing on its external shape. In the second case, one descends to the microscopic level, studying molecular signalling pathways that are crucial to determine if a cell is cancerous or not. In each of these approaches we work with appropriate variants of membrane systems.

关键词： tumour membrane system modeling.

Brain-penetrating neurotrophic factor mimetics: HER-096 as a disease-modifying therapy for parkinson’s disease

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Neural Regeneration Research 2025年第4期20卷 1094-1095页

作者： Natalia Kulesskaya Kira m.Holmström Henri j.Huttunen Herantis pharma plc EspooFinland

Neurotrophic factors as a therapeutic approach in neurodegenerative diseases:A maj.r unmet need in the field of central nervous system diseases is disease-modifying *** for decades there have been various symptomatic treatments available to alleviate the symptoms of the disease,disease-modification,*** that stop,significantly delay,or reverse the progression of the disease,has been turned out to a difficult goal to achieve.

关键词： diseases treatment therapeutic

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monodirectional evolutional symport tissue p systems with channel states and cell division

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Science China(Information Sciences) 2023年第3期66卷 293-294页

作者： Bosheng SONG Kenli LI Xiangxiang ZENG mario j.pérez-j.ménez Claudio ZANDRON College of Computer Science and Electronic Engineering Hunan University Department of Computer Science and Artificial Intelligence Universidad de Sevilla Dipartimento di Informatica Sistemistica e Comunicazione Università degli Studi di Milano-Bicocca

Bioinspired computing is a research framework that solves computer science problems based on the principles of biology and the natural world, including DNA and membrane computing. membrane computing(mC), an active subfield of bioinspired computing based on the biological cell structure,emerged as an unconventional computational paradigm and has generated an extensive fundamental research scope in theoretical computer science [1].

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Europium recovery process by means of polymeric nanoparticles functionalized with acrylic acid,curcumin and fumaramide

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j.urnal of Rare Earths 2024年第10期42卷 1950-1959页

作者： p.A.martínez-montoya j.m del Río A.de j.morales-Ramirez m.Corea Escuela Superior de Ingeniería Química e Industrias Extractivas ESIQIE-IPNDepartamento de Ingeniería Metalúrgica UPALM S/N Col.LindavistaGustao A.MaderoCDMXC.P.07738Mexico Escuela Superior de Ingenieria Química e Industrias Extractivas ESIQIE-IPNLaboratorio de Investigación en Polímeros y NanomaterialesUPALM S/N Col.LindavistaGustavoA.MaderoCDMXC.P.07738Mexico Centra de Investigación e Innovación Tecnológica CIITEC-IPNCda.de CECATIs/nSanta CatarinaAzcapotzalcoC.P.02250CDMXMexico

polymeric nanoparticles of poly(methyl methacrylate)were obtained by emulsion polymerization techniques in a proce ss of two *** particles were functionalized with acrylic acid,curcumin,and fumaramide and three series of polymeric particles were *** incorporation of functional groups was confirmed by Fourier transform-infrared spectrosocopy(FT-IR)and ultraviolet-visible(UV-Vis)*** spherical morphology of particles with an average diameter of 100 nm was observed by scartning electron microscopy(SEm).The polymeric materials were used for recovery of[Eu]from synthetic *** nanoparticles show excellent chelation capacity to trap rare-earth ions,because they recover more than 85%of[Eu]at pH of *** images of SEm after extraction process show arrays between particles with larger average particle sizes to 1.5 *** addition,the particles have a good stripping capacity,exceeding 50%of it,maintaining their homogeneity in morphology and good stability in dispersion for the recovery and stripping processes.A pseudo-second model order is obtained for the extraction and stripping processes while the best results of stripping process are obtained at pH of 6.

关键词： [Eu]recovery Chelating effect Extraction process Stripping process Emulsion polymerization Rare earths

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Apples to oranges:environmentally derived,dynamic regulation of serotonin neuron subpopulations in adulthood?

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Neural Regeneration Research 2025年第9期20卷 2596-2597页

作者： Christopher j.O’Connell matthew j.Robson Department of Genetics College of MedicineHarvard UniversityBostonMAUSA j.mes L.Winkle College of pharmacy Division of Pharmaceutical SciencesUniversity of CincinnatiCincinnatiOHUSA Neuroscience Graduate program College of MedicineUniversity of CincinnatiCincinnatiOHUSA

Traumatic brain inj.ry(TBI)is a public health problem with an undue economic burden that impacts nearly every age,ethnic,and gender group across the globe(Capizzi et al.,2020).TBIs are often sustained during a dynamic range of exposures to energetic environmental forces and as such outcomes are typically heterogeneous regarding severity and pathology(Capizzi et al.,2020).

关键词： sustained orange dynamic

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