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 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.

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 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.

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.

scholarly journals High expression of DNA damage-inducible transcript 4 (DDIT4) is associated with advanced pathological features in the patients with colorectal cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fahimeh Fattahi ◽  
Leili Saeednejad Zanjani ◽  
Zohreh Habibi Shams ◽  
Jafar Kiani ◽  
Mitra Mehrazma ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Damage ◽  
Prognostic Significance ◽  
Tissue Microarrays ◽  
Survival Outcomes ◽  
Hub Genes ◽  
Kegg Pathways ◽  
Normal Tissues ◽  
Nuclear Expression ◽  
Pathways Analysis

AbstractDNA damage-inducible transcript 4 (DDIT4) is induced in various cellular stress conditions. This study was conducted to investigate expression and prognostic significance of DDIT4 protein as a biomarker in the patients with colorectal cancer (CRC). PPI network and KEGG pathway analysis were applied to identify hub genes among obtained differentially expressed genes in CRC tissues from three GEO Series. In clinical, expression of DDIT4 as one of hub genes in three subcellular locations was evaluated in 198 CRC tissues using immunohistochemistry method on tissue microarrays. The association between DDIT4 expression and clinicopathological features as well as survival outcomes were analyzed. Results of bioinformatics analysis indicated 14 hub genes enriched in significant pathways according to KEGG pathways analysis among which DDIT4 was selected to evaluate CRC tissues. Overexpression of nuclear DDIT4 protein was found in CRC tissues compared to adjacent normal tissues (P = 0.003). Furthermore, higher nuclear expression of DDIT4 was found to be significantly associated with the reduced tumor differentiation and advanced TNM stages (all, P = 0.009). No significant association was observed between survival outcomes and nuclear expression of DDIT4 in CRC cases. Our findings indicated higher nuclear expression of DDIT4 was significantly associated with more aggressive tumor behavior and more advanced stage of disease in the patients with CRC.

scholarly journals Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jie Huang ◽  
Zhandong Sun ◽  
Wenying Yan ◽  
Yujie Zhu ◽  
Yuxin Lin ◽  
...  
Keyword(s):  
Regulatory Network ◽  
Expression Profiles ◽  
Delayed Diagnosis ◽  
Interaction Network ◽  
High Sensitivity ◽  
Regulate Gene Expression ◽  
Protein Protein Interaction ◽  
Small Noncoding Rnas ◽  
Mirna Expression Profiles ◽  
Pathways Analysis

Sepsis is regarded as arising from an unusual systemic response to infection but the physiopathology of sepsis remains elusive. At present, sepsis is still a fatal condition with delayed diagnosis and a poor outcome. Many biomarkers have been reported in clinical application for patients with sepsis, and claimed to improve the diagnosis and treatment. Because of the difficulty in the interpreting of clinical features of sepsis, some biomarkers do not show high sensitivity and specificity. MicroRNAs (miRNAs) are small noncoding RNAs which pair the sites in mRNAs to regulate gene expression in eukaryotes. They play a key role in inflammatory response, and have been validated to be potential sepsis biomarker recently. In the present work, we apply a miRNA regulatory network based method to identify novel microRNA biomarkers associated with the early diagnosis of sepsis. By analyzing the miRNA expression profiles and the miRNA regulatory network, we obtained novel miRNAs associated with sepsis. Pathways analysis, disease ontology analysis, and protein-protein interaction network (PIN) analysis, as well as ROC curve, were exploited to testify the reliability of the predicted miRNAs. We finally identified 8 novel miRNAs which have the potential to be sepsis biomarkers.

scholarly journals Das internationale Forschungsvorhaben Becoming Breastfeeding Friendly. Untersuchung von Rahmenbedingungen zur Stillförderung

2018 ◽  
Vol 61 (8) ◽  
pp. 1012-1021
Author(s):  
Maria Flothkötter ◽  
Julia Kunath ◽  
Stephanie Lücke ◽  
Katharina Reiss ◽  
Juliane Menzel ◽  
...  
Keyword(s):  
Becoming Breastfeeding Friendly
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