Cost-effective compensation payments: A model based on Buying Green Cover to sustain ecological restoration

2012 ◽  
Vol 14 (1) ◽  
pp. 143-147 ◽  
Author(s):  
Cheng Gong ◽  
Chenguang Xu ◽  
Li Chen ◽  
Shixiong Cao
Keyword(s):  
Ecological Restoration ◽  
Cost Effective ◽  
Model Based ◽  
Green Cover ◽  
Compensation Payments

scholarly journals A model-based approach for designing cost-effective compensation payments for conservation of endangered species in real landscapes

2007 ◽  
Vol 140 (1-2) ◽  
pp. 174-186 ◽  
Author(s):  
Martin Drechsler ◽  
Frank Wätzold ◽  
Karin Johst ◽  
Holger Bergmann ◽  
Josef Settele
Keyword(s):  
Endangered Species ◽  
Cost Effective ◽  
Model Based ◽  
Conservation Of Endangered Species ◽  
Compensation Payments

scholarly journals A Reference Framework to Combine Model-Based Design and AR to Improve Social Sustainability

2021 ◽  
Vol 13 (4) ◽  
pp. 2031
Author(s):  
Fabio Grandi ◽  
Riccardo Karim Khamaisi ◽  
Margherita Peruzzini ◽  
Roberto Raffaeli ◽  
Marcello Pellicciari
Keyword(s):  
Positive Impact ◽  
Cost Effective ◽  
Digital Models ◽  
Model Based ◽  
Digital Contents ◽  
Recent Developments ◽  
Virtual Simulations ◽  
Product And Process ◽  
The Impact ◽  
Time Information

Product and process digitalization is pervading numerous areas in the industry to improve quality and reduce costs. In particular, digital models enable virtual simulations to predict product and process performances, as well as to generate digital contents to improve the general workflow. Digital models can also contain additional contents (e.g., model-based design (MBD)) to provide online and on-time information about process operations and management, as well as to support operator activities. The recent developments in augmented reality (AR) offer new specific interfaces to promote the great diffusion of digital contents into industrial processes, thanks to flexible and robust applications, as well as cost-effective devices. However, the impact of AR applications on sustainability is still poorly explored in research. In this direction, this paper proposed an innovative approach to exploit MBD and introduce AR interfaces in the industry to support human intensive processes. Indeed, in those processes, the human contribution is still crucial to guaranteeing the expected product quality (e.g., quality inspection). The paper also analyzed how this new concept can benefit sustainability and define a set of metrics to assess the positive impact on sustainability, focusing on social aspects.

scholarly journals P1.01-036 Lung Cancer Screening Program Is Cost Effective in French Setting: A Model Based Study

2017 ◽  
Vol 12 (1) ◽  
pp. S470-S471
Author(s):  
Christos Chouaid ◽  
Juliette Vella-Boucaud ◽  
Jean Claude Pairon ◽  
Anne Duburcq ◽  
Bruno Detournay ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
Screening Program ◽  
Lung Cancer Screening ◽  
Cost Effective ◽  
Model Based ◽  
Cancer Screening Program ◽  
Lung Cancer Screening Program

scholarly journals CoWWAn: Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis

2021 ◽  
Author(s):  
Daniele Proverbio ◽  
Françoise Kemp ◽  
Stefano Magni ◽  
Leslie Ogorzaly ◽  
Henry-Michel Cauchie ◽  
...  
Keyword(s):  
Viral Load ◽  
Real Time ◽  
Mechanistic Model ◽  
Cost Effective ◽  
Effective Alternative ◽  
Wastewater Analysis ◽  
Epidemic Dynamics ◽  
Model Based ◽  
Sampling Protocols ◽  
Cost Effective Alternative

We present COVID-19 Wastewater Analyser (CoWWAn) to reconstruct the epidemic dynamics from SARS-CoV-2 viral load in wastewater. As demonstrated for various regions and sampling protocols, this mechanistic model-based approach quantifies the case numbers, provides epidemic indicators and accurately infers future epidemic trends. In situations of reduced testing capacity, analysing wastewater data with CoWWAn is a robust and cost-effective alternative for real-time surveillance of local COVID-19 dynamics.

scholarly journals Is computer aided detection (CAD) cost effective in screening mammography? A model based on the CADET II study

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Carla Guerriero ◽  
Maureen GC Gillan ◽  
John Cairns ◽  
Matthew G Wallis ◽  
Fiona J Gilbert
Keyword(s):  
Cost Effective ◽  
Screening Mammography ◽  
Computer Aided Detection ◽  
Model Based ◽  
Computer Aided

Ensemble method: Community detection based on game theory

2014 ◽  
Vol 28 (30) ◽  
pp. 1450211 ◽  
Author(s):  
Xia Zhang ◽  
Zhengyou Xia ◽  
Shengwu Xu ◽  
J. D. Wang
Keyword(s):  
Game Theory ◽  
Social Network ◽  
Community Detection ◽  
Online Social Network ◽  
Cost Effective ◽  
Detection Algorithm ◽  
Research Area ◽  
Detection Model ◽  
Model Based ◽  
Active Research

Timely and cost-effective analytics over social network has emerged as a key ingredient for success in many businesses and government endeavors. Community detection is an active research area of relevance to analyze online social network. The problem of selecting a particular community detection algorithm is crucial if the aim is to unveil the community structure of a network. The choice of a given methodology could affect the outcome of the experiments because different algorithms have different advantages and depend on tuning specific parameters. In this paper, we propose a community division model based on the notion of game theory, which can combine advantages of previous algorithms effectively to get a better community classification result. By making experiments on some standard dataset, it verifies that our community detection model based on game theory is valid and better.

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