Academic literature on the topic 'Processi evolutivi'
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Journal articles on the topic "Processi evolutivi"
Salerno, Alessandra, and Monica Tosto. "Processi di parenting e di adattamento al ruolo genitoriale in adolescenza." TERAPIA FAMILIARE, no. 99 (August 2012): 55–73. http://dx.doi.org/10.3280/tf2012-099003.
Full textLiverani, Antonella, Teresa Ilaria Ercolanese, and Enrico Valletta. "Adolescenti nella nicchia." Medico e Bambino 40, no. 6 (June 25, 2021): 401–4. http://dx.doi.org/10.53126/meb40401.
Full textCappotto, Claudio. "Coming out in famiglia. Omosessualità e relazioni familiari: vissuti, processi evolutivi e nuove prospettive." MINORIGIUSTIZIA, no. 3 (January 2021): 176–82. http://dx.doi.org/10.3280/mg2020-003018.
Full textSpagnuolo Lobb, Margherita. "I processi evolutivi in psicoterapia: lo sguardo terapeutico tra passato, presente e futuro." QUADERNI DI GESTALT, no. 2 (April 2013): 5–8. http://dx.doi.org/10.3280/gest2012-002001.
Full textTebaldi, Mauro. "Perché le politiche cambiano: il caso dei trasporti." Italian Political Science Review/Rivista Italiana di Scienza Politica 29, no. 1 (April 1999): 121–55. http://dx.doi.org/10.1017/s0048840200026514.
Full textMichela Schenetti and Cristina Li Pera. "Riscoprire il gioco all’aperto per innovare i servizi educativi e le competenze professionali degli adulti." IUL Research 2, no. 4 (December 20, 2021): 120–32. http://dx.doi.org/10.57568/iulres.v2i4.187.
Full textFancello, Luciana. "Lo sviluppo polifonico dei domini. Processi evolutivi: psicoterapia della Gestalt in dialogo Milano, 13-14 settembre 2013." QUADERNI DI GESTALT, no. 2 (February 2014): 115–17. http://dx.doi.org/10.3280/gest2013-002015.
Full textCorsi, Carla. "Among Us. L'estraneità in una famiglia adottiva con figli adolescenti nel corso di una psicoterapia familiare online." INTERAZIONI, no. 1 (April 2021): 125–36. http://dx.doi.org/10.3280/int2021-001010.
Full textJournals, FrancoAngeli, and Massimiliano Grava. "Dalle fabbriche ai nuovi spazi dell' innovazione: transizioni socio-economiche e mutamenti dei paesaggi della produzione." RIVISTA GEOGRAFICA ITALIANA, no. 4 (December 2021): 45–72. http://dx.doi.org/10.3280/rgioa4-2021oa12959.
Full textS. Muthumariammal, and A. S. Deepa. "An Overview on Evolution, Application, Suggested Process for HDRI." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 02, no. 01 (February 10, 2014): 07–12. http://dx.doi.org/10.9756/sijcsea/v2i1/0106600202.
Full textDissertations / Theses on the topic "Processi evolutivi"
Bickel, David R. (David Robert). "The Fractal Stochastic Point Process Model of Molecular Evolution and the Multiplicative Evolution Statistical Hypothesis." Thesis, University of North Texas, 1997. https://digital.library.unt.edu/ark:/67531/metadc277827/.
Full textReis, Carla Alessandra Lima. "Uma abordagem flexível para execução de processos de software evolutivos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2003. http://hdl.handle.net/10183/8960.
Full textSoftware Engineering evolved to increase software quality through the definition of tools to support both development and management processes. However, the existing technology to provide automated support for human activity coordination - mainly represented by Workflow Management Systems and Process-Centered Software Engineering Environments (PSEEs) - has some limitations. One of the most important limitations is related to the low level of flexibility provided by current tools. Existing technologies provide limited support for some important software process characteristics, which includes, for example, the humanistic aspect of software processes, the difficult to completely prescribe the process model in advance, and the lack of adequate support for dynamic changes on enacting processes. Besides, the construction of a PSEE demand an adequate formal approach for its specification, which can improve its understandability and analysis, while constitutes a basis for comparison with similar proposals. This work presents and discusses a conceptual model and mechanisms which jointly aim to increase the level of flexibility and automation provided for software processes enactment. In order to reach this goal, a software-based architecture is proposed, named APSEE, which provides a unified meta-model that integrates organizational and management information, along with software artifact and tool support. The proposed meta-model rigorously defines its components. Therefore, resource and people properties are formally described in order to allow better allocation through an automated process instantiation mechanism. In addition, a visual software process modeling language is provided which is, in turn, related to the underlying meta-model. Finally, a flexible process enactment mechanism was specified to support dynamic changes on process models that work together with consistency check and monitoring mechanisms. The required software components for the proposed meta-model were specified using algebraic specification and graph grammar-based techniques which, in turn, were used to build prototypes for the Java-PROSOFT environment. This implementation was also useful to evaluate the feasibility of using APSEE as an integration platform for a number of process management services developed by PROSOFT research group. Finally, it is discussed how this proposal relates to the current technological state-ofthe- art, the critical elements that can influence its applicability and effectiveness, and the expected future activities.
Martins, Cleide. "A improvisação em dança: um processo sistêmico e evolutivo." Pontifícia Universidade Católica de São Paulo, 1999. https://tede2.pucsp.br/handle/handle/5100.
Full textCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
Este trabalho utiliza informações teóricas provindas da filosofiae da ciência para falar da improvisação em dança, quase sempre considerada apenas como um recurso da arte da dança. A literatura sobre o tema é escassa, se tivermos como expectativa reflexões sobre o que é a improvisação e não apenas sobre a sua prática. Este trabalho procura trazer uma reflexão mais abrangente da improvisação, vista não apenascomoum recurso,mascomoa própria dança realizada no instante de sua execução (em oposição à dança planejada anteriormente). Para tanto, toma-se necessário partir de uma visão ontológica de mundo em que se considera que a realidade é formada por sistemas e que a dança pode ser vista como um sistema complexo, formado pela relação dos subsistemas: movimento,corpo+cultura. Os subsistemas movimento e corpo+cultura,que compõem o sistema dança, podem ser estudados, atualmente, por hipóteses evolucionistas neodarwinistas utilizadas pela biogenética e neurociência). A improvisação, por sua vez, pode ser definida como a processualidade que ocorre no sistema dança, ou seja, onde a relação dos subsistemas movimento, corpo+cultura, ao longo do tempo, vai sofrendo modificações estocásticas de suas propriedades, produzindo estados que se sucedem em cadeias. Este processo, quando cresce em complexidade, apresenta parâmetros que acompanham o jogo evolutivo, que vão em busca de uma organização. Com o parâmetro de integralidade, o processo de improvisação adquire uma gramática formada a partir do(s) repertório(s), ou seja, dos tipos de movimentos adquiridos pelo corpo do dançarino + as leis e regras (da física, anatomofisiológicas e de atuação pessoal). As tendências das combinações dos movimentos configuram o grau de gramaticalidade do processo de improvisação. As aspirações do processo de improvisação são: a baixa gramaticalidade e o novo
Blitz, David. "Emergent evolution : the problem of qualitative novelty in the evolutionary process." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75862.
Full textMéléard, Sylvie, and Sylvie Roelly. "Evolutive two-level population process and large population approximations." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6460/.
Full textSilva, Gabriel Lucas Cantanhede da. "Aplicação de algoritmos genéticos em mineração de processos não estruturados." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-02072018-215453/.
Full textProcess mining is a new field of research that links data mining and business process management. Process mining follows the premise that there is an unknown process in a given context, and by analyzing the traces of its behavior, with the help of data mining, the process model can be discovered. However, realistic business processes are difficult to mine because of excessive behavior recorded in the logs. These unstructured processes, despite being complex, hold great potential for improvement, and the current process mining approaches for that context yet provide little support for management. This masters research project aims to apply evolutionary computational techniques in process mining, using genetic algorithms to automatically discover unstructured process models in order to support process management in organizations. A literature review was carried out to support the proposition of a new approach focused on the discovery of unstructured process models. The proposed approach introduces new formulas for calculating completeness and precision metrics, based on the information of transitions between activities that are reorganized through a matrix structure created in this work. The approach also introduces the use of genetic operators and evolutionary flow strategies not yet implemented in the literature regarding genetic algorithms in process discovery. Analyzes of the parameterization of the proposed approach, as well as the resulting process models, indicate that the approach is effective in mining better process models from samples of a unstructured log
SILVA, Sharlene Neuma Henrique da. "Processo de renovação generalizado para análise de sistemas reparáveis baseado na distribuição q–Exponencial." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18597.
Full textMade available in DSpace on 2017-04-19T18:10:57Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_Versão Final.pdf: 1475057 bytes, checksum: 12f4f23219e2dd8cfd695075bb204ac4 (MD5) Previous issue date: 2016-08-23
CAPES
Este trabalho trata de sistemas reparáveis que sofrem reparo imperfeito, utilizando uma classe de modelos de processos estocásticos conhecida como Processo de Renovação Generalizado (PRG), que é um modelo de idade virtual que determina a classificação do reparo de acordo com o grau de redução que este proporciona sob a idade real do equipamento, mensurada através de um parâmetro de rejuvenescimento, , e este modelo permite inserir uma maior flexibilidade quanto ao tratamento de dados de falhas. Foi proposto um modelo PRG com base na distribuição -Exponencial ( -PRG), onde o sucesso da Exponencial deve-se, em parte, à sua capacidade de exposições a caudas pesadas e fenômenos de lei de potência. Os estimadores de máxima verossimilhança não apresentaram expressões analíticas e, então, a estimação dos parâmetros -PRG foi realizada por meio do algoritmo evolucionário Differential Evolution (DE), que é algoritmo estocástico para resolver problemas de otimização global de funções não lineares, ou seja, é um método para minimizar funções não lineares e não diferenciáveis em um espaço contínuo de busca. Com base no método DE, foram realizadas simulações a partir de dados de falha extraídos da literatura. A partir das simulações executadas utilizando o método bootstrap paramétrico, mesmo existindo valores discrepantes, o processo de simulação manteve as características dos dados iniciais, de modo que informações sobre as falhas não foram perdidas. Com as simulações, concluiu-se que para tamanhos amostrais maiores, as abordagens bootstrap utilizadas tendem a fornecer estimativas intervalares semelhantes para os parâmetros -PRG. Além disso, foi possível obter alguns resultados estatísticos para os estimadores como a ausência de normalidade e estimar o parâmetro de rejuvenescimento do PRG.
This work deals with repairable systems that undergo imperfect repair, using a class of stochastic process models known as Generalized Renewal Process (GRP), which is a virtual age model that determines the classification of the repair according to the degree of reduction that This provides, under the real age of the equipment, measured through a rejuvenation parameter, , and this model allows to insert a greater flexibility in the treatment of data of failures. A GRP model was proposed based on the -Exponential distribution ( -GRP), where -Exponential success is due, in part, to its ability to expose heavy tails and power law phenomena. The maximum likelihood estimators did not present analytical expressions and, therefore, the estimation of the -GRP parameters was performed using the evolutionary algorithm Differential Evolution (DE), which is a stochastic algorithm to solve problems of global optimization of non-linear functions, that is, is a method to minimize non-linear and non-differentiable functions in a continuous search space. Based on the DE method, simulations were performed based on fault data extracted from the literature. From the simulations performed using the parametric bootstrap method, even if there were discrepant values, the simulation process maintained the characteristics of the initial data, so that information about the failures was not lost. With the simulations, it was concluded that for larger sample sizes, the bootstrap approaches used tend to provide similar interval estimates for the -GRP parameters. In addition, it was possible to obtain some statistical results for the estimators such as the absence of normality and to estimate the GRP rejuvenation parameter.
Benzenberg, Elizabeth Marie Acox. "Exploring Design Process Evolution in Architecture and Interior Design Firms." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1313341550.
Full textDelaney, Nigel Francis. "Processes and Rates of Bacterial Evolution." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10732.
Full textKim, Kwanlae. "Domain evolution processes in ferroelectric ceramics." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:abd786e3-8461-4e75-ae99-2620d08099b1.
Full textBooks on the topic "Processi evolutivi"
I processi formativi ed evolutivi della città in area adriatica. Oxford: Archaeopress, 2012.
Find full textCini, Marcello. Un paradiso perduto: Dall'universo delle leggi naturali al mondo dei processi evolutivi. 2nd ed. Milano: Feltrinelli, 1994.
Find full textL'economia del lodigiano tra fine '800 e primo dopoguerra: Processi evolutivi prima della grande crisi. Lodi: PMP Edizioni, 2015.
Find full textPeter, Dodson, ed. Evolution: Process and product. 3rd ed. Boston: Prindle, Weber & Schmidt, 1985.
Find full textKuhrmann, Marco, Jürgen Münch, Ita Richardson, Andreas Rausch, and He Zhang, eds. Managing Software Process Evolution. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31545-4.
Full textOchoa, Camargo Gonçalo, ed. O processo evolutivo da pessoa bororo. Campo Grande: Missão Salesiana de Mato Grosso, 2001.
Find full textHergarten, Stefan, and Horst J. Neugebauer, eds. Process Modelling and Landform Evolution. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0009716.
Full textOtto, Jan-Christoph, and Richard Dikau, eds. Landform - Structure, Evolution, Process Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-75761-0.
Full text1964-, Hergarten Stefan, and Neugebauer Horst J. 1939-, eds. Process modelling and landform evolution. Berlin: Springer, 1999.
Find full textBook chapters on the topic "Processi evolutivi"
Jefferies, Brian. "Evolution Processes." In Evolution Processes and the Feynman-Kac Formula, 25–58. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8660-3_3.
Full textHolopainen, Timo, Jukka Rantala, Mandi Virtanen, and Tuula Korhonen. "Sales Process Evolution." In Advances in Intelligent Systems and Computing, 174–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50791-6_22.
Full textDay, Martin J., and Robert V. Miller. "Generating Intracellular Processes." In Microbial Evolution, 102–7. Washington, DC, USA: ASM Press, 2014. http://dx.doi.org/10.1128/9781555817749.ch6.
Full textFrench, Laurence Armand. "Due Process." In The Evolution of Ethics in America, 9–24. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003224426-2.
Full textCunin, Pierre-Yves. "Process instance evolution — PIE." In Software Process Technology, 155. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64956-5_24.
Full textDori, Dov. "System Lifecycle and Evolution." In Object-Process Methodology, 289–309. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56209-9_11.
Full textKumar, Akhil. "Evolution of Process Thinking." In Business Process Management, 1–11. First Edition. | New York: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315646749-1.
Full textKondrashov, Alexey S. "Measuring spontaneous deleterious mutation process." In Mutation and Evolution, 183–97. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5210-5_16.
Full textYeshchenko, Anton, Dina Bayomie, Steven Gross, and Jan Mendling. "Visualizing Business Process Evolution." In Enterprise, Business-Process and Information Systems Modeling, 185–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49418-6_12.
Full textPoizat, Pascal, Gwen Salaün, and Ajay Krishna. "Checking Business Process Evolution." In Formal Aspects of Component Software, 36–53. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57666-4_4.
Full textConference papers on the topic "Processi evolutivi"
Maccarrone, Maria. "Paesaggi costieri modificati da mezzi nautici a fine vita." In International Conference Virtual City and Territory. Roma: Centre de Política de Sòl i Valoracions, 2014. http://dx.doi.org/10.5821/ctv.7997.
Full textLi, Yao, Cheng Gao, and Chein-I. Chang. "Progressive band processing of automatic target generation process." In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2015. http://dx.doi.org/10.1109/whispers.2015.8075507.
Full textSun, Peng. "QCD Evolution for the Collins Asymmetries in Hard Process." In QCD Evolution 2015. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.249.0031.
Full textDai, Fei, and Tong Li. "Tailoring Software Evolution Process." In Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007). IEEE, 2007. http://dx.doi.org/10.1109/snpd.2007.25.
Full textV. G. da Rocha, Marcos, Kaike Sa T. R. Alves, Michel B. Hell, Fernando L. C. Oliveira, and Eduardo P. de Aguiar. "Modelagem Térmica de Transformadores de Potência Baseada em um Sistema Fuzzy Evolutivo Set-Membership Gaussiano Multivariado." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1024.
Full textGoldstein, Gary R., and Simonetta Liuti. "Generalized Parton Distributions in Deeply Virtual Lepton Scattering Processes." In QCD Evolution 2016. Trieste, Italy: Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.284.0017.
Full textGuedes, Thaylon, Kary Ocaña, and Daniel De Oliveira. "SciPhyloMiner: um Workflow para Mineração de Dados Filogemônicos de Protozoários." In XI Brazilian e-Science Workshop. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/bresci.2017.9924.
Full textBoehm, Barry. "An initial process decision table and a process evolution process." In the 2014 International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2600821.2600849.
Full textLiuti, Simonetta. "Orbital Angular Momentum in QCD and its Observability through Deep Inelastic Processes." In QCD Evolution 2015. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.249.0019.
Full textDai, Fei, Tong Li, Na Zhao, Yong Yu, and Bi Huang. "Evolution Process Component Composition Based on Process Architecture." In 2008 International Symposium on Intelligent Information Technology Application Workshops (IITAW). IEEE, 2008. http://dx.doi.org/10.1109/iita.workshops.2008.153.
Full textReports on the topic "Processi evolutivi"
Kaiser, Gail E., Israel Z. Ben-Shaul, George T. Heineman, John K. Hinsdale, and Wilfredo Marrero. Process Evolution for the MARVEL Environment. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada267813.
Full textBurwell, David W. Logical Evolution of the Military Decision Making Process. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada394290.
Full textScacchi, Walt. Models of Software Evolution: Life Cycle and Process. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada236120.
Full textBrodie, Katherine, Margaret Palmsten, and Nicholas Spore. Coastal foredune evolution, Part 1 : environmental factors and forcing processes affecting morphological evolution. Coastal and Hydraulics Laboratory (U.S.), February 2017. http://dx.doi.org/10.21079/11681/21468.
Full textTaylor, Richard N., and David Redmiles. Open Technology for Software Evolution: Hyperware, Architecture, and Process. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada387902.
Full textGalor, Oded, and Stelios Michalopoulos. Evolution and the Growth Process: Natural Selection of Entrepreneurial Traits. Cambridge, MA: National Bureau of Economic Research, May 2011. http://dx.doi.org/10.3386/w17075.
Full textP, Bedrossian, M. Caturla, Diaz de la Rubia, T, and M. Johnson. Surface morphology evolution in silicon during ion beam processing. Office of Scientific and Technical Information (OSTI), August 1999. http://dx.doi.org/10.2172/13856.
Full textSlavtchova-Bojkova, Marussia, and Kaloyan Vitanov. Modelling Cancer Evolution by Multi-type Agedependent Branching Processes. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, October 2018. http://dx.doi.org/10.7546/crabs.2018.10.01.
Full textWu, Ching-Yen. Shape evolution in neutron-rich nuclei near the r-process path. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1226934.
Full textMarsh, Terence L. Monitoring Uranium Transformations Determined by the Evolution of Biogeochemical Processes. Office of Scientific and Technical Information (OSTI), July 2013. http://dx.doi.org/10.2172/1088863.
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