233 research outputs found
A gillespie algorithm for non-markovian stochastic processes
The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics modeled as interacting sequences of discrete events including systems of biochemical reactions or earthquake occurrences, networks of queuing processes or spiking neurons, and epidemic and opinion formation processes on social networks. Empirically, the inter-event times of various phenomena obey long-tailed distributions. The Gillespie algorithm and its variants either assume Poisson processes (i.e., exponentially distributed inter-event times), use particular functions for time courses of the event rate, or work for non-Poissonian renewal processes, including the case of long-tailed distributions of inter-event times, but at a high computational cost. In the present study, we propose an innovative Gillespie algorithm for renewal processes on the basis of the Laplace transform. The algorithm makes use of the fact that a class of point processes is represented as a mixture of Poisson processes with different event rates. The method is applicable to multivariate renewal processes whose survival function of inter-event times is completely monotone. It is an exact algorithm and works faster than a recently proposed Gillespie algorithm for general renewal processes, which is exact only in the limit of infinitely many processes. We also propose a method to generate sequences of event times with a tunable amount of positive correlation between inter-event times. We demonstrate our algorithm with exact simulations of epidemic processes on networks, finding that a realistic amount of positive correlation in inter-event times only slightly affects the epidemic dynamics
Parallel adaptive finite state automata
The interest on parallelism has grown in many areas of technology. Hardware development has evolved greatly in the last years, leaving to software developers the goal of building better tools and compilers for parallel computation.
Also, symbolic computation must take advantage of parallel computation. The proposal contained in this paper is to use functional languages as a tool to implement adaptive automata using the concepts of symbolic computationVII Workshop de Procesamiento Distribuido y Paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI
LaF3 core/shell nanoparticles for subcutaneous heating and thermal sensing in the second biological-window
We report on Ytterbium and Neodymium codoped LaF3 core/shell nanoparticles capable of simultaneous heating and thermal sensing under single beam infrared laser excitation. Efficient light-to-heat conversion is produced at the Neodymium highly doped shell due to non-radiative de-excitations. Thermal sensing is provided by the temperature dependent Nd3+ → Yb3+ energy transfer processes taking place at the core/shell interface. The potential application of these core/shell multifunctional nanoparticles for controlled photothermal subcutaneous treatments is also demonstratedThis work was supported by the Spanish Ministerio de Economıa y Competitividad (MAT2013-47395-C4-1-R), by Brazilian Agencies: FINEP (Financiadora de Estudos e Projetos) through the Grant Nos. INFRAPESQ-11 and INFRAPESQ-12; CNPq (Conselho Nacional de Desenvolvimento Cientıfico e Tecnologico) Grants INCT NANO(BIO)SIMES and Project Universal No. 483238/2013-9; CAPES (Coordenadoria de Aperfeiçoamento de Pessoal de Ensino Superior) by means of the Project PVE No. A077/2013. Erving C. Ximendes is supported by a Ph.D. scholarship from CNPq and currently by the PVE A077/2013 Project by means of a Ph.D. sandwich program developed at the Universidad Autonoma de Madrid, Spain. Prof. Dr. Daniel Jaque is the PVE (Pesquisador Visitante Especial) of the Project No. A077/2013. Dr. K. U. Kumar is a post-doctoral fellow of this Project. Dr. Ueslen Rocha is supported by a Post Doctoral Fellowship grant PDE/CAPES at the Universidad Autonoma de Madrid-Spain through the Project No. 2108-14-
Monitoring Single-point Dressers Using Fuzzy Models
AbstractGrinding causes progressive dulling and glazing of the grinding wheel grains and clogging of the voids on the wheel's surface with ground metal dust particles, which gradually increases the grinding forces. The condition of the grains at the periphery of a grinding wheel strongly influences the damage induced in a ground workpiece. Therefore, truing and dressing must be carried out frequently. Dressing is the process of conditioning the grinding wheel surface to reshape the wheel when it has lost its original shape through wear, giving the tool its original condition of efficiency. Despite the very broad range of dressing tools available today, the single-point diamond dresser is still the most widely used dressing tool due to its great versatility. The aim of this work is to predict the wear level of the single-point dresser based on acoustic emission and vibration signals used as input variables for fuzzy models. Experimental tests were performed with synthetic diamond dressers on a surface-grinding machine equipped with an aluminum oxide grinding wheel. Acoustic emission and vibration sensors were attached to the tool holder and the signals were captured at 2MHz. During the tests, the wear of the diamond tip was measured every 20 passes using a microscope with 10 to 100 X magnification. A study was conducted of the frequency content of the signals, choosing the frequency bands that best correlate with the diamond's wear. Digital band-pass filters were applied to the raw signals, after which two statistics were calculated to serve as the inputs for the fuzzy models. The results indicate that the fuzzy models using the aforementioned signal statistics are highly effective for predicting the wear level of the dresser
Parallel adaptive finite state automata
The interest on parallelism has grown in many areas of technology. Hardware development has evolved greatly in the last years, leaving to software developers the goal of building better tools and compilers for parallel computation.
Also, symbolic computation must take advantage of parallel computation. The proposal contained in this paper is to use functional languages as a tool to implement adaptive automata using the concepts of symbolic computationVII Workshop de Procesamiento Distribuido y Paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI
Energy Contents of Some Well-Known Solutions in Teleparallel Gravity
In the context of teleparallel equivalent to General Relativity, we study
energy and its relevant quantities for some well-known black hole solutions.
For this purpose, we use the Hamiltonian approach which gives reasonable and
interesting results. We find that our results of energy exactly coincide with
several prescriptions in General Relativity. This supports the claim that
different energy-momentum prescriptions can give identical results for a given
spacetime. We also evaluate energy-momentum flux of these solutions.Comment: 16 pages, accepted for publication in Astrophys. Space Sc
Dynamics of air transport networks: A review from a complex systems perspective
Air transport systems are highly dynamic at temporal scales from minutes to years. This dynamic behavior not only characterizes the evolution of the system but also affect the system's functioning. Understanding the evolutionary mechanisms is thus fundamental in order to better design optimal air transport networks that benefits companies, passengers and the environment. In this review, we briefly present and discuss the state-of-the-art on time-evolving air transport networks. We distinguish the structural analysis of sequences of network snapshots, ideal for long-term network evolution (e.g. annual evolution), and temporal paths, preferred for short-term dynamics (e.g. hourly evolution). We emphasize that most previous research focused on the first modeling approach (i.e. long-term) whereas only a few studies look at high-resolution temporal paths. We conclude the review highlighting that much research remains to be done, both to apply already available methods and to develop new measures for temporal paths on air transport networks. In particular, we identify that the study of delays, network resilience and optimization of resources (aircraft and crew) are critical topics
AVALIAÇÃO DOS EFEITOS DE DIFERENTES CONCENTRAÇÕES DE CLORO NA DESCAPSULAÇÃO E ECLOSÃO DE LARVAS DE ARTEMIA (Artemia sp.)
This paper was prepared in the Aquaculture Laboratory of the Federal University of the State of Parana, Brazil, with the purpose of determining the best sodium hypochloride (NaClO with 6% active ingredient) dosage to be employed in the artemia oocysts hatching process.The artemia oocysts were hydrated for 1 hour, filtered and submitted to a 10-minute chlorine treatment. The chlorine dosages tested were the following (NaClO - 6% sodium hypochloride): 0.38g, 0.75g, 1.50g, 3.00g and 6.00g of active ingredient per liter of water. Soon after chlorine application the oocysts were rinsed to eliminate the chlorine and immediately the oocysts were put into transparent plastic vials with water in the constant aeration and luminosity, where they remained for 53 hours. For the nauplii count one mililiter of the vial was put into a test tube with an interconnected aeration. Three counts were made for all repetitions and the threshold analysed was the number of hatched larvae per mililiter of hatching solution. The results were submitted to a normality test and it was determined that the hatching results did not show a normal pattern, therefore, it was not possible to use those averages as a comparison basis between treatments. Subsequently non-parametric tests were performed using the overall average as a comparison basis between treatments.Techically one can see the superiority of treatment with 1.50g of active chlorine, which resulted in the highest hatching-out counts, with 50% of the observed data presented 140 larvae hatched per milimiter.O presente trabalho foi realizado no Laboratório de Aqüicultura da Universidade Federal do Paraná (UFPR), com o objetivo de determinar a melhor dose de hipoclorito de sódio (NaClO com 6% de ingrediente ativo) a ser empregada na descapsulação de oocistos de artemia. Os oocistos de artemia foram hidratados durante 1 hora, filtrados e submetidos aos tratamentos com cloro durante 10 minutos. As dosagens de cloro testadas foram as seguintes (NaClO - hipoclorito de sódio 6%): 0,38g, 0,75g, 1,50g, 3,00g e 6,00g de ingrediente ativo por litro de água. Depois da aplicação do cloro fez-se a lavagem dos oocistos para eliminar o cloro aplicado e logo após os oocistos foram colocados na água em frascos plásticos transparentes com aeração e luminosidade constante onde ficaram durante 53 horas. Para contagem dos náuplios foi pipetado um mililitro do frasco com aeração ligada. Para todas as repetições foram feitas três contagens e o parâmetro analisado foi o número de larvas eclodidas por mililitro da solução de eclosão. Os resultados foram submetidos a um teste de normalidade e foi verificado que os resultados de eclosão não tinham distribuição normal, portanto as médias não puderam ser usadas como termo de comparação entre os tratamentos. Então foram realizados testes não-paramétricos que usam a mediana como parâmetro de comparação entre os tratamentos. Tecnicamente observa-se a superioridade do tratamento de 1,50g de cloro ativo que apresentou o ponto máximo de eclosão, tendo 50% dos dados de eclosão ao redor de 140 larvas eclodidas por mililitro
O157:H7 Shiga Toxin-Producing Escherichia coli Strains Associated with Sporadic Cases of Diarrhea in São Paulo, Brazil
Inst Adolfo Lutz Registro, Sao Paulo, BrazilLab Anal Clin Dr Joao Antonio Vozza, Campinas, SP, BrazilUniv Fed Sao Paulo, Escola Paulista Med, Sao Paulo, BrazilUniv Fed Sao Paulo, Escola Paulista Med, Sao Paulo, BrazilWeb of Scienc
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