scholarly journals Rural crisis and rural exodus? Local migration dynamics during the crisis of the 1840s in Flanders (Belgium)

2015 ◽  
Vol 56 ◽  
pp. 32-52 ◽  
Author(s):  
Nick Deschacht ◽  
Anne Winter
2019 ◽  
Vol 6 (1) ◽  
pp. 44-49
Author(s):  
Tania Muñoz Jiménez ◽  
Aurora Torres Soto ◽  
María Dolores Torres Soto

En este documento se describe el desarrollo e implementación de un modelo para simular computacionalmente la dinámica del crecimiento y migración del cáncer cervicouterino, considerando sus principales características: proliferación, migración y necrosis, así como sus etapas de desarrollo. El modelo se desarrolló mediante un autómata celular con enfoques paralelo y secuencial. El autómata celular se basó en el modelo de Gompertz para simular las etapas de desarrollo de este cáncer, el cual se dividió en tres etapas cada una con diferentes comportamientos durante la simulación. Se realizó un diseño experimental con parámetros de entrada que se seleccionaron a partir de la investigación literaria y su discusión con médicos expertos. Al final del proceso de investigación, se logró obtener un algoritmo computacional de simulación muy bueno comparado con el modelo médico de Gompertz y se encontraron los mejores parámetros para su ejecución mediante un diseño factorial soportado estadísticamente. This paper describes the development and implementation of a model to computationally simulate the growth and migration dynamics of cervical cancer, considering its main characteristics: proliferation, migration and necrosis, as well as its stages of development. The model was developed by means of a cellular automaton with parallel and sequential approaches. The cellular automaton was based on the model of Gompertz to simulate the stages of development of this cancer, which was divided into three stages, each with different behaviors during the simulation. An experimental design was carried out with input parameters that were selected from literary research and its discussion with expert physicians. At the end of the research process, a very good simulation algorithm was obtained compared to the Gompertz medical model and the best parameters for its execution were found by means of a statistically supported factorial design.


2019 ◽  
Vol 37 (3) ◽  
pp. 18
Author(s):  
Fernando González Laxe

The globalization of the economy encourages massive population displacements and inevitably generates a cosmopolitization of societies. This leads to concern, misunderstanding and rejection. The most vulnerable social groups in society can perceive the population as intruders and enemies in social competition. Undoubtedly, the extreme spatial instability of fishery resources is among the many factors affecting migration dynamics. Various reasons for the mobility of fishermen are relevant around this concept. These include aspect related to traditions, to the capitalisation of activity, to technological innovations, and to innovation exchanges concerning the location of fish stocks. This article reflects on spatial increase of fishermen’s. The analyse are part of the paradigm of the sustainable management of common renewable resources, in particular fishery resources. It presents three lines of analysis: the reason for mobility; the choice of destination; and are the integration into host units.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Diego F. Leal ◽  
Nicolas L. Harder

AbstractEvidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from network theory and Migration Systems Theory (MST) to develop a model to characterize the structure and evolution of international migration flows. Methodologically, the Stochastic Actor-oriented Model of network dynamics is used to jointly model the three types of flows under analysis. Results show that endogenous network effects at the monadic, dyadic, and triadic levels of analysis are relevant to understand the emergence and evolution of migration flows. The findings also show that a core set of non-network covariates, suggested by MST as key drivers of migration flows, does not always explain migration dynamics in the systems under analysis in a consistent fashion; thus, suggesting the existence of important levels of heterogeneity inherent to these three types of flows. Finally, evidence related to the role of political instability and countries’ care deficits is also discussed as part of the analysis. Overall, the results highlight the importance of analyzing flows across the globe beyond typically studied migratory corridors (e.g., North–South flows) or regions (e.g., Europe).


Author(s):  
Veronique Cortay ◽  
Delphine Delaunay ◽  
Dorothée Patti ◽  
Elodie Gautier ◽  
Nathalie Doerflinger ◽  
...  

NeuroImage ◽  
2010 ◽  
Vol 50 (2) ◽  
pp. 456-464 ◽  
Author(s):  
Brian J. Nieman ◽  
Jeffrey Y. Shyu ◽  
Joe J. Rodriguez ◽  
A. Denise Garcia ◽  
Alexandra L. Joyner ◽  
...  

Rural History ◽  
2010 ◽  
Vol 21 (2) ◽  
pp. 165-176 ◽  
Author(s):  
EDOUARD LYNCH

AbstractInterwar France saw itself as a rural nation. The First World War, won in the muddy earth of the trenches, elevated the image of the ‘peasant soldier’ to a symbolic height. But paradoxically, it was during this period that the urban population overtook the rural. Against this backdrop, references to the noxious consequences of rural migration increased in frequency and virulence. The condemnation of rural migration was part of the celebration of a French national identity rooted in the past, the earth and other key agrarian values, such as thrift, hard work and property ownership. French peasants are perceived to be the last bearers of this value set. In other European countries too, the same ideological debate was at play. In Italy and Germany, in particular, the regimes were faced with a similar dilemma, championing a racially pure, rural, identity rooted in the past, whilst embracing a modernising revolution. Their parallel attempts at aligning these two ideas are richly suggestive.


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