scholarly journals Zebrafish Aging Models and Possible Interventions

2018 ◽  
Author(s):  
Dilan Celebi-Birand ◽  
Begun Erbaba ◽  
Ahmet Tugrul Ozdemir ◽  
Hulusi Kafaligonul ◽  
Michelle Adams
Keyword(s):  
Aging Models

scholarly journals Cellular systems and aging models

1985 ◽  
Vol 11 (1-3) ◽  
pp. 283-291 ◽  
Author(s):  
G. Adomian ◽  
G.E. Adomian
Keyword(s):  
Cellular Systems ◽  
Aging Models

Capacity fade and aging models for electric batteries and optimal charging strategy for electric vehicles

Energy ◽  
2013 ◽  
Vol 60 ◽  
pp. 35-43 ◽  
Author(s):  
I.J. Fernández ◽  
C.F. Calvillo ◽  
A. Sánchez-Miralles ◽  
J. Boal
Keyword(s):  
Electric Vehicles ◽  
Capacity Fade ◽  
Aging Models ◽  
Charging Strategy

Zebrafish as Aging Models

2006 ◽  
pp. 317-338 ◽  
Author(s):  
Shuji Kishi
Keyword(s):  
Aging Models

Comparative Reliability Prediction Using Physics of Failure Models

2011 ◽  
Vol 2011 (HITEN) ◽  
pp. 000189-000195
Author(s):  
Milton Watts ◽  
K. Rob Harker
Keyword(s):  
Circuit Complexity ◽  
High Impact ◽  
Reliability Prediction ◽  
Life Test ◽  
Physics Of Failure ◽  
Failure Models ◽  
The Individual ◽  
Aging Models ◽  
Device Test

Quartzdyne Electronics has invested millions of device test hours in life testing of circuits in both powered and un-powered tests. In addition to time at temperature, these tests include thermal cycling and high impact drop testing. Recent projects have required the use of larger packages and components as we have expanded the variety of circuits that we build. It is desirable to predict the effects of these changes on long-term reliability before investing in tooling. In this study we will compare a new design which contains these larger components to the simpler, smaller designs for which we have extensive life-test data. Using a physics-of-failure approach, component mounting stresses will be analyzed using finite element modeling. These results will be compared to pre and post-aging shear strengths of actual components of varying sizes. Aging models will then be developed to predict the reliability of the new design based on the comparative stress margins of the individual components coupled with circuit complexity. Once validated, the aging models will enable reliability prediction and trade-off analysis for future designs.

scholarly journals Accelerated Aging Characterization of Lithium-ion Cells: Using Sensitivity Analysis to Identify the Stress Factors Relevant to Cyclic Aging

Batteries ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 6 ◽  
Author(s):  
Tanja Gewald ◽  
Adrian Candussio ◽  
Leo Wildfeuer ◽  
Dirk Lehmkuhl ◽  
Alexander Hahn ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Accelerated Aging ◽  
Lithium Ion ◽  
Simulation Models ◽  
Cell Types ◽  
Stress Factors ◽  
Worst Case ◽  
Lithium Ion Cells ◽  
Aging Models ◽  
Semi Empirical

As storage technology in electric vehicles, lithium-ion cells are subject to a continuous aging process during their service life that, in the worst case, can lead to a premature system failure. Battery manufacturers thus have an interest in the aging prediction during the early design phase, for which semi-empirical aging models are often used. The progress of aging is dependent on the application-specific load profile, more precisely on the aging-relevant stress factors. Still, a literature review reveals a controversy on the aging-relevant stress factors to use as input parameters for the simulation models. It shows that, at present, a systematic and efficient procedure for stress factor selection is missing, as the aging characteristic is cell-specific. In this study, an accelerated sensitivity analysis as a prior step to aging modeling is proposed, which is transferable and allows to determine the actual aging-relevant stress factors for a specific lithium-ion cell. For the assessment of this accelerated approach, two test series with different acceleration levels and cell types are performed and evaluated. The results show that a certain amount of charge throughput, 100 equivalent full cycles in this case, is necessary to conduct a statistically significant sensitivity analysis.

scholarly journals Synthesis of Kisspeptin-Mimicking Fragments and Investigation of their Skin Anti-Aging Effects

2020 ◽  
Vol 21 (22) ◽  
pp. 8439
Author(s):  
Kyung-Eun Lee ◽  
Sugyeong Jeong ◽  
Seok Kyun Yun ◽  
Seoyeon Kyung ◽  
Abadie Sophie ◽  
...  
Keyword(s):  
Skin Aging ◽  
Dermal Fibroblasts ◽  
Biologically Active ◽  
Type I ◽  
Aging Effects ◽  
Type I Procollagen ◽  
Reproductive Axis ◽  
Stress Related Genes ◽  
Active Fragments ◽  
Aging Models

In recent years, a number of active materials have been developed to provide anti-aging benefits for skin and, among them, peptides have been considered the most promising candidate due to their remarkable and long-lasting anti-wrinkle activity. Recent studies have begun to elucidate the relationship between the secretion of emotion-related hormones and skin aging. Kisspeptin, a neuropeptide encoded by the KISS1 gene, has gained attention in reproductive endocrinology since it stimulates the reproductive axis in the hypothalamus; however, the effects of Kisspeptin on skin have not been studied yet. In this study, we synthesized Kisspeptin-10 and Kisspeptin-E, which are biologically active fragments, to mimic the action of Kisspeptin. Next, we demonstrated the anti-aging effects of the Kisspeptin-mimicking fragments using UV-induced skin aging models, such as UV-induced human dermal fibroblasts (Hs68) and human skin explants. Kisspeptin-E suppressed UV-induced 11 beta-hydroxysteroid dehydrogenase type 1 (11β-HSD1) stimulation leading to a regulation of skin aging related genes, including type I procollagen, matrix metalloproteinases-1 (MMP-1), interleukin-6 (IL-6), and IL-8, and rescued the skin integrity. Taken together, these results suggest that Kisspeptin-E could be useful to improve UV-induced skin aging by modulating expression of stress related genes, such as 11β-HSD1.

Aging Models

2005 ◽  
Author(s):  
Hans-Georg M��ller
Keyword(s):  
Aging Models
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