Contextual factors impact on relationship satisfaction in young adult life-cycle stage

2012 ◽  
Author(s):  
Maria Coutinho ◽  
Ana Pego
Keyword(s):  
Life Cycle ◽  
Young Adult ◽  
Relationship Satisfaction ◽  
Contextual Factors ◽  
Adult Life ◽  
Life Cycle Stage

scholarly journals Association of Serum Interleukin 6 and C-Reactive Protein in Childhood With Depression and Psychosis in Young Adult Life

2014 ◽  
Vol 71 (10) ◽  
pp. 1121 ◽  
Author(s):  
Golam M. Khandaker ◽  
Rebecca M. Pearson ◽  
Stanley Zammit ◽  
Glyn Lewis ◽  
Peter B. Jones
Keyword(s):  
Young Adult ◽  
Interleukin 6 ◽  
Adult Life ◽  
C Reactive Protein ◽  
Reactive Protein

Identification of asset life cycle stage: case study in heavy-duty truck fleet

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oscar Daniel Rivera Baena ◽  
Maria Valentina Clavijo Mesa ◽  
Carmen Elena Patino Rodriguez ◽  
Fernando Jesus Guevara Carazas
Keyword(s):  
Life Cycle ◽  
Design Methodology ◽  
Life Cycle Stage ◽  
Waste Collection ◽  
Content Type ◽  
Heavy Duty Truck ◽  
Maintenance Work ◽  
Operational Decision Making ◽  
The Moment

PurposeThis paper aims to determine the stage of the life cycle where the trucks of a waste collection fleet from a Colombian city are located through a reliability approach. The reliability analysis and the evaluation of curve of operational costs allow to know the moment in which it is necessary to make decisions regarding an asset, its maintenance or possible replacement.Design/methodology/approachFor a dataset presented as maintenance work orders, the time to failures (TTFs) for each vehicle in the fleet were calculated. Then, a probability density function for those TTFs was fitted to locate each vehicle in a region of the bathtub curve and to calculate the reliability of the whole fleet. A general functional analysis was also developed to understand the function of the vehicles.FindingsIt was possible to determine that the largest proportion of the fleet was in the final stage of the life cycle, in this sense, the entire fleet represent critical assets which in most of cases could be worth replacement or overhaul.Originality/valueIn this study, an address is exposed for the identification of critical equipment by reliability and statistical analysis. This analysis is also integrated with the maintenance management process. This is a broadly interested topic since it allows to support the maintenance and operational decision-making process, indicating the focus of resource allocation all over the entire asset life cycle.

Developmental gene expression in Leishmania donovani: differential cloning and analysis of an amastigote-stage-specific gene

1994 ◽  
Vol 14 (5) ◽  
pp. 2975-2984
Author(s):  
H Charest ◽  
G Matlashewski
Keyword(s):  
Life Cycle ◽  
Leishmania Donovani ◽  
Repetitive Sequences ◽  
Protozoan Parasite ◽  
Life Cycle Stage ◽  
Immune Serum ◽  
Sand Fly ◽  
Specific Gene ◽  
Reading Frame ◽  
Developmental Gene Expression

Leishmania protozoans are the causative agents of leishmaniasis, a major parasitic disease in humans. During their life cycle, Leishmania protozoans exist as flagellated promastigotes in the sand fly vector and as nonmotile amastigotes in the mammalian hosts. The promastigote-to-amastigote transformation occurs in the phagolysosomal compartment of the macrophage cell and is a critical step for the establishment of the infection. To study this cytodifferentiation process, we differentially screened an amastigote cDNA library with life cycle stage-specific cDNA probes and isolated seven cDNAs representing amastigote-specific transcripts. Five of these were closely related (A2 series) and recognized, by Northern (RNA) blot analyses, a 3.5-kb transcript in amastigotes and in amastigote-infected macrophages. Expression of the amastigote-specific A2 gene was induced in promastigotes when they were transferred from culture medium at 26 degrees C and pH 7.4 to medium at 37 degrees C and pH 4.5, conditions which mimic the macrophage phagolysosomal environment. A2 genes are clustered in tandem arrays, and a 6-kb fragment corresponding to a unit of the cluster was cloned and partially sequenced. An open reading frame found within the A2-transcribed region potentially encoded a 22-kDa protein containing repetitive sequences. The recombinant A2 protein produced in Escherichia coli cells was specifically recognized by immune serum from a patient with visceral leishmaniasis. The A2 protein repetitive element has strong homology with an S antigen of Plasmodium falciparum, the protozoan parasite responsible for malaria. Both the A2 protein of Leishmania donovani and the S antigen of P. falciparum are stage specific and developmentally expressed in mammalian hosts.

scholarly journals Effects of silver nanoparticles on the freshwater snailPhysa acuta: The role of test media and snails’ life cycle stage

2016 ◽  
Vol 36 (1) ◽  
pp. 243-253 ◽  
Author(s):  
Sandra F. Gonçalves ◽  
Maria D. Pavlaki ◽  
Rafael Lopes ◽  
Julia Hammes ◽  
Julián Alberto Gallego-Urrea ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Life Cycle ◽  
Life Cycle Stage

scholarly journals Environmental and Social Impact Assessment of Optimized Post-Tensioned Concrete Road Bridges

2020 ◽  
Vol 12 (10) ◽  
pp. 4265 ◽  
Author(s):  
Vicent Penadés-Plà ◽  
David Martínez-Muñoz ◽  
Tatiana García-Segura ◽  
Ignacio J. Navarro ◽  
Víctor Yepes
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Social Impact ◽  
Sustainability Assessment ◽  
Life Cycle Stage ◽  
Social Impact Assessment ◽  
Weighting Method ◽  
Ecoinvent Database ◽  
The Social ◽  
Post Tensioned

Most of the definitions of sustainability include three basic pillars: economic, environmental, and social. The economic pillar has always been evaluated but not necessarily in the sense of economic sustainability. On the other hand, the environmental pillar is increasingly being considered, while the social pillar is weakly developed. Focusing on the environmental and social pillars, the use of methodologies to allow a wide assessment of these pillars and the integration of the assessment in a few understandable indicators is crucial. This article is structured into two parts. In the first part, a review of life cycle impact assessment methods, which allow a comprehensive assessment of the environmental and social pillars, is carried out. In the second part, a complete environmental and social sustainability assessment is made using the ecoinvent database and ReCiPe method, for the environmental pillar, and SOCA database and simple Social Impact Weighting method, for the social pillar. This methodology was used to compare three optimized bridges: two box-section post-tensioned concrete road bridges with a variety of initial and maintenance characteristics, and a pre-stressed concrete precast bridge. The results show that there is a high interrelation between the environmental and social impact for each life cycle stage.

scholarly journals The Open Innovation Model of Coaching Interaction in Organisations for Sustainable Performance within the Life Cycle

2018 ◽  
Vol 10 (10) ◽  
pp. 3516 ◽  
Author(s):  
Angelina Roša (Rosha) ◽  
Natalja Lace
Keyword(s):  
Life Cycle ◽  
Open Innovation ◽  
Growth And Development ◽  
Driving Forces ◽  
Life Cycle Stage ◽  
Sustainable Growth ◽  
Business World ◽  
Sustainable Performance ◽  
Life Cycle Stages ◽  
Innovation Model

Organizations need innovation to be competitive and sustainable on their marketplace. Sustainable performance is an important precondition for growth and development. In spite of a body of literature, non-financial factors of sustainable performance remain an open issue. Coaching has gained considerable attention in the business world for its impact on sustainable performance. The current research investigates the use of coaching interaction to facilitate organizational sustainable growth and development in the context of Miller and Friesen’s five stage life-cycle model. The expert opinion survey is chosen as a central method of research. The questionnaire is developed on the literature review that is focused on the drivers for sustainable development throughout the life cycle, and the features of coaching that accelerate these driving forces. Fifteen experts took part in the survey conducted from November 2017 to January 2018. The results are estimated by considering the competence coefficient for each expert. The findings led to creation of an open innovation model, which displays relationships between the appropriate coaching forms and types and the organizational life cycle stages. The developed model enables choosing the optimal way of coaching delivery at any life cycle stage. This model is particularly valuable for the coaching support programs.

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