Participatory impact pathways analysis (PIPA) and research priority assessment.

2009 ◽  
pp. 8-24
Author(s):  
B. Douthwaite ◽  
S. Alvarez ◽  
J. D. H. Keatinge ◽  
R. Mackay ◽  
G. Thiele ◽  
...  
Keyword(s):  
Impact Pathways ◽  
Research Priority ◽  
Pathways Analysis ◽  
Priority Assessment

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 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.

Identifying Suicide Typologies Among Trauma-Exposed Veterans

Crisis ◽  
2020 ◽  
Vol 41 (4) ◽  
pp. 288-295 ◽  
Author(s):  
Nadia Bounoua ◽  
Jasmeet P. Hayes ◽  
Naomi Sadeh
Keyword(s):  
Latent Profile Analysis ◽  
Suicide Attempts ◽  
Clinical Symptoms ◽  
Profile Analysis ◽  
Risky Behaviors ◽  
Self Report ◽  
Cross Sectional ◽  
Research Priority ◽  
Self Harm ◽  
And Behaviors

Abstract. Background: Suicide among veterans has increased in recent years, making the identification of those at greatest risk for self-injurious behavior a high research priority. Aims: We investigated whether affective impulsivity and risky behaviors distinguished typologies of self-injurious thoughts and behaviors in a sample of trauma-exposed veterans. Method: A total of 95 trauma-exposed veterans (ages 21–55; 87% men) completed self-report measures of self-injurious thoughts and behaviors, impulsivity, and clinical symptoms. Results: A latent profile analysis produced three classes that differed in suicidal ideation, suicide attempts and nonsuicidal self-injury (NSSI): A low class that reported little to no self-injurious thoughts or behaviors; a self-injurious thoughts (ST) class that endorsed high levels of ideation but no self-harm behaviors; and a self-injurious thoughts and behaviors (STaB) class that reported ideation, suicide attempts and NSSI. Membership in the STaB class was associated with greater affective impulsivity, disinhibition, and distress/arousal than the other two classes. Limitations: Limitations include an overrepresentation of males in our sample, the cross-sectional nature of the data, and reliance on self-report measures. Conclusion: Findings point to affective impulsivity and risky behaviors as important characteristics of veterans who engage in self-injurious behaviors.

Controlling Through-Space and Through-Bond Exchange Pathways in Bis-Cobaltocenes for Molecular Spintronics

2019 ◽  
Author(s):  
Sarah Puhl ◽  
Torben Steenbock ◽  
Carmen Herrmann ◽  
Jürgen Heck
Keyword(s):  
Chemical Synthesis ◽  
First Principles ◽  
Information Transfer ◽  
Spin Coupling ◽  
Molecular Spintronics ◽  
Pathways Analysis ◽  
Chemical Strain

Pinching molecules via chemical strain suggests intuitive consequences, such as compression at the pinched site, and clothespin-like opening of other parts of the structure. If this opening affects two spin centers, it should result in reduced communication between them. We show that for a naphthalene-bridged biscobaltocenes with competing through-space and through-bond pathways, the consequences of pinching are far less intuitive: despite the known dominance of through-space interactions, the bridge plays a much larger role for exchange spin coupling than previously assumed. Based on a combination of chemical synthesis, structural, magnetic and redox characterization, and a newly developed first-principles theoretical pathways analysis, we can suggest a comprehensive explanation for this nonintuitive behavior. These results are of interest for molecular spintronics, as naphthalene-linked cobaltocenes can form wires on surfaces for potential spin-only information transfer.

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