scholarly journals Participatory Impact Pathways Analysis: a practical method for project planning and evaluation

2010 ◽  
Vol 20 (8) ◽  
pp. 946-958 ◽  
Author(s):  
Sophie Alvarez ◽  
Boru Douthwaite ◽  
Graham Thiele ◽  
Ronald Mackay ◽  
Diana Córdoba ◽  
...  
Keyword(s):  
Practical Method ◽  
Project Planning ◽  
Impact Pathways ◽  
Pathways Analysis

scholarly journals A Practical Method for Assessing the Energy Consumption & CO2 Emissions of Mass Haulers

2016 ◽  
Author(s):  
Hassanean Jassim ◽  
Weizhuo Lu ◽  
Thomas Olofsson
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Performance ◽  
Construction Projects ◽  
Practical Method ◽  
Project Planning ◽  
Planning Program ◽  
Detailed Model ◽  
Proposed Model

Mass hauling operations play central roles in construction projects. They typically use many haulers that consume large amounts of energy and emit significant quantities of CO2. However, practical methods for estimating the energy consumption and CO2 emissions of such operations during project planning are lacking. This paper presents a detailed model for estimating the energy consumption and CO2 emissions of mass haulers that integrates the mass hauling plan with a set of predictive equations. The mass hauling plan is generated using a planning program such as DynaRoad in conjunction with data on the productivity of selected haulers and the amount of material to be hauled during cutting, filling, borrowing, and disposal operations. This plan is then used as input for estimating the energy consumption and CO2 emissions of the selected hauling fleet. The proposed model will help planners to assess the energy and environmental performance of mass hauling plans, and to select hauler and fleet configurations that will minimize these quantities. The model was applied in a case study, demonstrating that it can reliably predict energy consumption, CO2 emissions, and hauler productivity as functions of the hauling distance for individual haulers and entire hauling fleets.

scholarly journals Re-analysis of SARS-CoV-2 infected host cell proteomics time-course data by impact pathway analysis and network analysis. A potential link with inflammatory response

2020 ◽  
Author(s):  
Ignacio Ortea ◽  
Jens-Ole Bock
Keyword(s):  
Network Analysis ◽  
Inflammatory Response ◽  
Host Cell ◽  
Time Course ◽  
Treatment Options ◽  
Proteomics Data ◽  
Impact Pathways ◽  
Pathways Analysis ◽  
Potential Link

AbstractThe disease known as coronavirus disease 19 (COVID-19), potentially caused by an outbreak of the severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) in Wuhan, China, has hit the world hard, and has led to an unprecedent health and economic crisis. In order to develop treatment options able to stop or ameliorate SARS-CoV-2 effects, we need to understand the biology of the virus inside cells, but this kind of studies are still scarce. A recent study investigated translatome and proteome host cell changes induced in vitro by SARS-CoV-2. In the present study, we use the publicly available proteomics data from this study to re-analyze the mechanisms altered by the virus infection by impact pathways analysis and network analysis. Proteins linked to inflammatory response, but also proteins related to chromosome segregation during mitosis, were found to be regulated. The up-regulation of the inflammatory-related proteins observed could be linked to the propagation of inflammatory reaction and lung injury that is observed in advanced stages of COVID-19 patients.

scholarly journals How does “Becoming Breastfeeding Friendly” work? A Programme Impact Pathways Analysis

2019 ◽  
Vol 15 (3) ◽  
Author(s):  
Gabriela Buccini ◽  
Kassandra L. Harding ◽  
Amber Hromi‐Fiedler ◽  
Rafael Pérez‐Escamilla
Keyword(s):  
Impact Pathways ◽  
Pathways Analysis ◽  
Becoming Breastfeeding Friendly

scholarly journals Decision-Making Heuristics for Managing Climate-Related Risks: Introducing Equity to the FREE Framework

2021 ◽  
pp. 57-76
Author(s):  
Camilla Audia ◽  
Emma Visman ◽  
Gino Fox ◽  
Emmah Mwangi ◽  
Mary Kilavi ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Ecological Data ◽  
Climate Change Risk ◽  
Policy Makers ◽  
Impact Pathways ◽  
Pathways Analysis ◽  
Development And Validation ◽  
Impact Models ◽  
Previous Scholarship

AbstractManaging climate-related risks is clouded in differing levels of uncertainty that are magnified when trying to understand their potential impacts on socio-ecological systems. The ‘cascade of uncertainty’ is particularly apparent in Africa where socio-ecological data are sparse, and the development and validation of impact models are at varying stages. In this context, using heuristics may serve as an effective way for policy makers to incorporate climate change knowledge into decision-making. Previous scholarship has identified the principles of Flexibility, Robustness and Economic low/no regrets in decision-making under uncertainty. In this chapter, we first make the case for adding Equity to these heuristics, where equity involves ensuring that reducing the climate change risk for one cohort of society does not result in its increase for another. Second, we describe how these principles have been applied under two DFID/NERC funded projects: ForPAc and AMMA-2050 through the use of Participatory Impact Pathways Analysis tools.

The role of differential phase contrast in electron microscopy

1978 ◽  
Vol 36 (1) ◽  
pp. 176-177
Author(s):  
E.M. Waddell ◽  
J.N. Chapman ◽  
R.P. Ferrier
Keyword(s):  
Phase Contrast ◽  
Practical Method ◽  
Position Vector ◽  
Differential Phase ◽  
Pure Phase ◽  
Differential Phase Contrast ◽  
The Difference ◽  
Image Position ◽  
First Moment

Dekkers and de Lang (1977) have discussed a practical method of realising differential phase contrast in a STEM. The method involves taking the difference signal from two semi-circular detectors placed symmetrically about the optic axis and subtending the same angle (2α) at the specimen as that of the cone of illumination. Such a system, or an obvious generalisation of it, namely a quadrant detector, has the characteristic of responding to the gradient of the phase of the specimen transmittance. In this paper we shall compare the performance of this type of system with that of a first moment detector (Waddell et al.1977).For a first moment detector the response function R(k) is of the form R(k) = ck where c is a constant, k is a position vector in the detector plane and the vector nature of R(k)indicates that two signals are produced. This type of system would produce an image signal given bywhere the specimen transmittance is given by a (r) exp (iϕ (r), r is a position vector in object space, ro the position of the probe, ⊛ represents a convolution integral and it has been assumed that we have a coherent probe, with a complex disturbance of the form b(r-ro) exp (iζ (r-ro)). Thus the image signal for a pure phase object imaged in a STEM using a first moment detector is b2 ⊛ ▽ø. Note that this puts no restrictions on the magnitude of the variation of the phase function, but does assume an infinite detector.

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