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The increase in wind power penetration leads to the risk of energy supply interruption in integrated electricity‐heat energy systems (IHES). This paper presents an analytical‐based approach for the efficient operational reliability evaluation of the IHES. The wind power distribution characteristic model considering correlation is constructed based on Hidden Markov Model (HMM). To reduce computational complexity, a critical system state identification (CSSI) method is proposed that characterises both random device failures and wind power uncertainty. Under each critical system state, the analytical function relationship between the reliability index and the uncertainty factors is established based on the virtual stochastic response surface (VSRS) method. The analytical function can directly calculate the reliability index when the wind power output varies, avoiding a large number of repeated calculations of the optimal load‐shedding model of the system and reducing the time required for reliability assessment. This allows the operator to evaluate the operational reliability of the integrated energy system in real‐time. The numerical simulation of the test system combining the IEEE 33‐node distribution system and the existing 28‐node heating system proves the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Cotton fuzz fibers, like Arabidopsis trichomes, are elongated unicells. It is postulated that a transcriptional complex of GLABRA1 (GL1), GLABRA3 (GL3), and TRANSPARENT TESTAGLABRA1 (TTG1) might be in existence in Arabidopsis as evidenced by their physical interaction in yeast, and the complex regulates expression of GLABRA2 ( GL2) controlling trichome cell differentiation; it is also assumed that TRIPTYCHON (TRY) and CAPRICE (CPC) counteract the complex formation in neighboring cells. Here, the homologs GaMYB23 (a homolog of GL1), GaDEL65 (a homolog of GL3), GaTTG1, GaCPC and GaTRY were identified in Gossypium arboreum. We show that GaMYB23 can bind to and activate the promoters of GaCPC, GaGL2 and GaTRY, and that GaMYB23, GaTRY and GaTTG1 could interact with GaDEL65 in yeast and in planta. In situ analysis showed that GaMYB23, GaGL2, GaDEL65, and GaTRY were predominantly expressed in fuzz fiber, but GaTRY proteins were primarily found in undeveloped epidermal cells. A G. arboreum fuzzless mutant with consistently high level GaMYB23 transcript has lost the detectable GaMYB23-promoter of GaGL2 complex, corresponding to sharply reduced transcription of GaGL2. Our results support that cotton homologs to the genetic molecules regulating Arabidopsis trichome differentiation interacted in the epidermis of ovules and the redundant GaMYB23 serves as a negative regulator in fuzz-fiber patterning. [ABSTRACT FROM AUTHOR]

With 1 figure and 8 tables Abstract The genetic effects and heterosis of the colour and quality of brown fibres were analysed in this paper through the complete 5 × 5 diallel crossing among two brown cotton cultivars and three white cotton cultivars in upland cotton ( Gossypium hirsutum). Parents and F1 were arranged in a randomized block design in three locations. The results showed that the inheritability for all the traits has exceeded 50%, with significant dominance effect at the 0.01 level. The additive effect of fibre colour, lint percentage, elongation and strength was also significant at the 0.01 level, reaching 85.6%, 29.7%, 16.1% and 19.1%, respectively. The ratio of residual variance of lint percentage and fibre qualities was 29.5 - 45.9%, that of colour was only 1.1%. Fibre colour had significant negative correlation with lint percentage, fibre length, uniformity, elongation and strength. The mid-parent heterosis of fibre colour was negative, which was −0.7%; those of lint percentage, fibre length, uniformity and strength were 3.5%, 4.2%, 1.7% and 2.6%, respectively, reaching the significant level. The simple correlation coefficient between heterosis of fibre length and strength and SSR genetic distance was 0.718 and 0.724, respectively, with a significant level. For the heterosis utilizing, the fibre quality of F1 could be predicted via the mean value of the fibre qualities of parents or the SSR genetic difference among varieties (lines). Selection among the early hybrid generations was suggested. Regional planning could be applied to improve lint percentage and fibre qualities by taking advantage of environmental variation. [ABSTRACT FROM AUTHOR]