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Understanding these phenomena is very important to choose the right location of sensitive components, like thermal sensors, in order to improve reliability.
In such situations material selection of sensitive components is perhaps one of the most challenging problems in the design of structural elements in some industries such as aerospace.
Smoke contamination even from small fires of sensitive components in telephone central offices (TCO) and semiconductor clean rooms has caused disastrous disruptions in services and excessive financial repercussions.
The Last Interglacial (LIG, ∼129-116 thousand years ago, ka) represents an excellent case study to investigate the response of sensitive components of the Earth System and mechanisms of high-latitude amplification to a climate warmer than present-day.
Condition monitoring (CM) methods applied to systems (e.g. vibration analysis, oil analysis, electric current analysis, bearing CM, electric motor CM, and so forth) are used to determine updated failure rate values of sensitive components.
The first is achieved by the shielding against microwave stray radiation, plasma radiation, thermal radiation and particle fluxes and by absorbing residual microwave stray radiation in the immediate vicinity of sensitive components.
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This may be due to a direct effect of superoxide on a signaling pathway between the nucleus and mitochondria, or may result from a decline in the function of oxidant sensitive components of the electron transport chain (such as Fe S containing proteins)—resulting in a metabolic imbalance that triggers mitochondrial-to-nuclear communication.
Recently, the thermal design of the detector arc is improved to secure maintenance of constant temperature of thermally sensitive components under changing environmental conditions.
Material selection of highly sensitive components is one of the most challenging issues in the design and development of structural elements in aerospace and nuclear industry.
This provides a cost-effective method of monitoring sensitive components in the environment, and of providing information about uranium levels to concerned local populations".
This work compares some of the most widely potential multi-criteria decision making models for addressing all the stages in solving a material selection problem of highly sensitive components involving conflicting as well as multiple design objectives.
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CEO of Professional Science Editing for Scientists @ prosciediting.com