Dynamic load response law and limit of pressure relief drilling for coal seam prevention and control of rock burst

The surrounding rock of the impact hazard roadway is often disturbed by external dynamic loads, which often leads to the occurrence of impact ground pressure. In order to explore the anti impact and pressure relief effects of large-diameter pre relief boreholes in coal seams under dynamic load disturbance conditions, a comprehensive method including theoretical analysis, laboratory experiments, and numerical simulations was used to study the dynamic load response law and limit of coal seam anti impact and pressure relief boreholes. The results indicate that the coal body in the pressure relief zone of large-diameter drilling forms a weak structure, increases the ability to attenuate dynamic loads, and reduces the possibility of impact. Under low dynamic load disturbance, the expansion of pores and cracks, and the cumulative acoustic emission events show an upward trend with the increase of disturbance period; Under higher dynamic load disturbances, the degree of damage and rupture of coal samples in boreholes intensifies, and acoustic emission events are mainly high-energy. As the dynamic load level and disturbance period increase, the distance between the stress concentration zone, elastic high-energy zone and the borehole shortens, the influence range increases, the rock movement trend strengthens, and the degree of elastic energy accumulation increases. Under low dynamic load level disturbances, drilling plays a role in energy dissipation, pressure relief, and anti-collision, which can maintain the stability of the surrounding rock. However, under high-energy dynamic load disturbances, the anti-collision of large-diameter drilling fails, and the drilling wall is prone to dynamic instability and damage, causing instability of the surrounding rock. Overall, large-diameter pressure relief boreholes have weakened structures that can dissipate energy, reduce impact, and lower the degree of dynamic load disturbance. However, under high-energy and high-frequency dynamic load disturbances, the movement trend of the surrounding rock of the pressure relief borehole increases, the degree of fracture response is severe, and the anti impact effectiveness is limited

Susceptibility Breakpoint for Enrofloxacin against Swine Salmonella spp

ABSTRACT Susceptibility breakpoints are crucial for prudent use of antimicrobials. This study has developed the first susceptibility breakpoint (MIC ≤ 0.25 μg/ml) for enrofloxacin against swine Salmonella spp. based on wild-type cutoff (CO WT ) and pharmacokinetic-pharmacodynamic (PK-PD) cutoff (CO PD ) values, consequently providing a criterion for susceptibility testing and clinical usage of enrofloxacin. </jats:p

A novel remaining useful life prediction framework for lithium-ion battery using grey model and particle filtering

An accurate remaining useful life (RUL) prediction method is significant to optimize the lithium-ion batteries' performances in an intelligent battery management system. Since the construction of battery models and the initialization of algorithms require a large amount of data, it is difficult for conventional methods to guarantee the RUL prediction accuracy when the available data are insufficient. To solve this problem, a synergy of sliding-window grey model (SGM) and particle filter (PF) is exploited to build an innovative framework for battery RUL prediction. The SGM is adopted to explore the modelling of battery capacity degradation, and it characterizes the capacity changes during the battery's life-time with a few data (eg, 8 data points). To promote the accuracy and traceability of prediction, the development coefficient of the SGM, which can dynamically reflect the capacity degradation, is extracted to update the state variables of state transition function in PF. Accordingly, the fusion of SGM and PF (SGM-PF) can extrapolate the changes of the capacity and realize RUL prediction using fewer data. Furthermore, the performances of SGM-PF are comprehensively validated using two types of batteries aged under different conditions. The RUL prediction results reveal that the SGM-PF framework can achieve precise and reliable predictions in different prediction horizons with as few as 8 data points, and it has prominent performance in accuracy and stability over contrastive methods, especially in long-term prognosis

Genome-Wide Characterization of Trichome Birefringence-Like Genes Provides Insights Into Fiber Yield Improvement

Cotton is an important fiber crop. The cotton fiber is an extremely long trichome that develops from the epidermis of an ovule. The trichome is a general and multi-function plant organ, and trichome birefringence-like (TBL) genes are related to trichome development. At the genome-wide scale, we identified TBLs in four cotton species, comprising two cultivated tetraploids (Gossypium hirsutum and G. barbadense) and two ancestral diploids (G. arboreum and G. raimondii). Phylogenetic analysis showed that the TBL genes clustered into six groups. We focused on GH_D02G1759 in group IV because it was located in a lint percentage-related quantitative trait locus. In addition, we used transcriptome profiling to characterize the role of TBLs in group IV in fiber development. The overexpression of GH_D02G1759 in Arabidopsis thaliana resulted in more trichomes on the stems, thereby confirming its function in fiber development. Moreover, the potential interaction network was constructed based on the co-expression network, and it was found that GH_D02G1759 may interact with several genes to regulate fiber development. These findings expand our knowledge of TBL family members and provide new insights for cotton molecular breeding

GWAS Analysis and QTL Identification of Fiber Quality Traits and Yield Components in Upland Cotton Using Enriched High-Density SNP Markers

It is of great importance to identify quantitative trait loci (QTL) controlling fiber quality traits and yield components for future marker-assisted selection (MAS) and candidate gene function identifications. In this study, two kinds of traits in 231 F6:8 recombinant inbred lines (RILs), derived from an intraspecific cross between Xinluzao24, a cultivar with elite fiber quality, and Lumianyan28, a cultivar with wide adaptability and high yield potential, were measured in nine environments. This RIL population was genotyped by 122 SSR and 4729 SNP markers, which were also used to construct the genetic map. The map covered 2477.99 cM of hirsutum genome, with an average marker interval of 0.51 cM between adjacent markers. As a result, a total of 134 QTLs for fiber quality traits and 122 QTLs for yield components were detected, with 2.18–24.45 and 1.68–28.27% proportions of the phenotypic variance explained by each QTL, respectively. Among these QTLs, 57 were detected in at least two environments, named stable QTLs. A total of 209 and 139 quantitative trait nucleotides (QTNs) were associated with fiber quality traits and yield components by four multilocus genome-wide association studies methods, respectively. Among these QTNs, 74 were detected by at least two algorithms or in two environments. The candidate genes harbored by 57 stable QTLs were compared with the ones associated with QTN, and 35 common candidate genes were found. Among these common candidate genes, four were possibly “pleiotropic.” This study provided important information for MAS and candidate gene functional studies