scholarly journals Prediction of population with Alzheimer's disease in the European Union using a system dynamics model

2016 ◽  
Vol Volume 12 ◽  
pp. 1589-1598 ◽  
Author(s):  
Kamil Kuca ◽  
Jitka Kuhnova ◽  
Richard Cimler ◽  
Ondrej Dolezal ◽  
Hana Tomaskova
2021 ◽  
Author(s):  
◽  
Armands Grāvelsiņš

European Union has set ambitious decarbonization goals under Green Deal, therefore, Latvia needs to search for solutions on how to move towards reaching the said goals. Although renewable energy share in Latvia is one of the highest among the European Union countries, it is mostly due to historic heritage, not as the result of implementing meaningful policies. Essential high renewable energy share in power sector comes from three large hydroelectric stations on Daugava, which is heritage from the Soviet Union times. Steady increase in renewable energy share can be observed in District Heating, however it is based on increased utilization of biomass, and that most likely is not a sustainable solution. Considering that bioeconomy will experience significant growth in the future, utilization of wood resource for production of products with low added value will steadily phase out. For energy sector it means the necessity to look for other alternatives to replace fossil fuels. If in other European countries (Denmark, Germany, the Netherlands, Lithuania, Estonia, et al.) solar and wind technology capacity have significantly increased over last decade, in Latvia this increase is negligible. Only in the last few years significant increase in installed solar capacities can be observed, but total capacity is still low. Latvia needs to seek solutions on how to increase the introduction rate of renewable energy technologies in order to move towards carbon neutrality in 2050. The aim of the Thesis is to develop a comprehensive system dynamics model which can be used to analyze energy sector at both national and local scale. It should include both heating and power sectors and be able to evaluate the possibility of sector coupling and its influence on the total system. Specific objectives are set to reach the aim: to develop a system dynamics model structure for heating system development; to analyze the heating system at local and national scale; to assess the importance of power sector flexibility on system development; to implement the elements of sector coupling in energy system; to analyze sector coupling as a flexibility increase measure for national scale and local systems.


2010 ◽  
Vol 20 (2) ◽  
pp. 59-62
Author(s):  
Patrick Einzinger ◽  
Günther Zauner ◽  
G. Ganjeizadeh-Rouhani

Systems ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 56
Author(s):  
Urmila Basu Mallick ◽  
Marja H. Bakermans ◽  
Khalid Saeed

Using Indian free-ranging dogs (FRD) as a case study, we propose a novel intervention of social integration alongside previously proposed methods for dealing with FRD populations. Our study subsumes population dynamics, funding avenues, and innovative strategies to maintain FRD welfare and provide societal benefits. We develop a comprehensive system dynamics model, featuring identifiable parameters customizable for any management context and imperative for successfully planning a widescale FRD population intervention. We examine policy resistance and simulate conventional interventions alongside the proposed social integration effort to compare monetary and social rewards, as well as costs and unintended consequences. For challenging socioeconomic ecological contexts, policy resistance is best overcome by shifting priority strategically between social integration and conventional techniques. The results suggest that social integration can financially support a long-term FRD intervention, while transforming a “pest” population into a resource for animal-assisted health interventions, law enforcement, and conservation efforts.


Urban Science ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 19
Author(s):  
Robert Dare

This article presents a customized system dynamics model to facilitate the informed development of policy for urban heat island mitigation within the context of future climate change, and with special emphasis on the reduction of heat-related mortality. The model incorporates a variety of components (incl.: the urban heat island effect; population dynamics; climate change impacts on temperature; and heat-related mortality) and is intended to provide urban planning and related professionals with: a facilitated means of understanding the risk of heat-related mortality within the urban heat island; and location-specific information to support the development of reasoned and targeted urban heat island mitigation policy.


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