The variability of the results generally decreased with increasing compressive stress level, and at highest stress variability was lower than under variable force/stress.
Thus, stress variability can be characterised in any convenient coordinate system.
Key parameters are the local minimum horizontal stress, variability of the tensile strengths of the layers of a sedimentary sequence and the thickness of the beds.
To correctly incorporate stress variability in the increasingly widespread application of probabilistic‑related rock mechanics analyses, a robust approach for random stress tensor generation is essential.
We explore the impact of mechanical stress induced variability in inverters with multi-fingered devices and derive relationship between the logical effort (LE) and number of fingers (NFs).
We discuss why stress tensor variability can be sufficiently and appropriately characterised by its distinct tensor components in a multivariate manner, and demonstrate that the proposed statistical model gives consistent results under coordinate system transformation.
Within riparian corridors, biotic-abiotic feedback mechanisms occur between woody vegetation strongly influenced by hydrogeomorphic constraints (e.g., sediment transport and deposition, shear stress, hydrological variability), fluvial landforms, and morphodynamics, which in turn are modulated by the established vegetation.
It can be concluded that the IRTI analysis is a high-throughput constructive screening tool along with RS ratio, RWC, HI and other drought tolerance indices to define the drought stress tolerance variability within lentil plants.
Given the complexity of in vivo oxidative stress and variability in the intrinsic ROS resistance of different proteins, it is not surprising that some proteins may show differential levels of sensitivity to oxidative modification at middle age.
The genes associated with these terms may be important in the strategies involved with coping with stress, and variability in their sequences (e.g. exonic, intronic, or regulatory region SNPs) and/or timing and magnitude of mRNA expression (i.e. expression profiles) could reveal markers for increased resistance to thermal and other stressors (research ongoing).
This study has shown that female-headed households, households with experience of less than 5 years in the area, household heads with no primary level of education and households headed by divorced and widowed persons, with no access to extension services and early warning information, in particular, are disproportionately likely to be affected by climate stresses and variability.
