Parameter Solving of Probability Integral Method Based on Improved Genetic Algorithm

The probability integral method (PIM) is the main method for mining subsidence prediction in China. Parameter errors and model errors are the main sources of error in the application of the probability integral method. There are many surface subsidence problems caused by coal mining. In order to improve the accuracy and operating efficiency of the genetic algorithm (GA) in calculating the parameters of the PIM, this paper proposes an improved genetic algorithm (IGA) by adding the dynamic crossover and mutation rate to the traditional GA. Made improvements to the shortcomings of random crossover and mutation rate of all individuals in the population in the original algorithm.Through simulation experiments, it is confirmed that the IGA improves the calculation efficiency and accuracy of the traditional GA under the same conditions.The IGA has higher accuracy, reliability, resistance to gross interference and resistance to missing observation points. This method is obviously superior to direct inversion and conventional optimization inversion algorithms, and effectively avoids the dependence on the initial value of the probabilistic integral method parameter

Deep Planar Parallax for Monocular Depth Estimation

Recent research has highlighted the utility of Planar Parallax Geometry in monocular depth estimation. However, its potential has yet to be fully realized because networks rely heavily on appearance for depth prediction. Our in-depth analysis reveals that utilizing flow-pretrain can optimize the network's usage of consecutive frame modeling, leading to substantial performance enhancement. Additionally, we propose Planar Position Embedding (PPE) to handle dynamic objects that defy static scene assumptions and to tackle slope variations that are challenging to differentiate. Comprehensive experiments on autonomous driving datasets, namely KITTI and the Waymo Open Dataset (WOD), prove that our Planar Parallax Network (PPNet) significantly surpasses existing learning-based methods in performance

A high selective fluorescent sensor for Ni(II) ion in acetonitrile

In this paper, a high selective fluorescent sensor for nickel ion based on boron-dipyrromethene (BODIPY) has been studied. Upon addition of Ni(II) ion, the fluorescence of sensor (compound 1) would be quenched, and the selectivity towards Ni(II) ion over Ag(I), Cd(II), Cu(II), Fe(III), Hg(II), Pb(II), and Zn(II)is good in acetonitrile, there is almost no interference from other heavy metal ions. The stoichiometry of complexation for compound 1 with Ni(II) ion is 1:1, and the quenching process could be reversed by triethanolamine

Transplantation of artificial gelatin-co-bletillastriata gelatin/Salvia miltiorrhiza Corium promotes dermal repair in rats

Purpose: To evaluate the growth of the composite corium (constructed with fibroblast cells and gelatinco- Bletillastriata gelatin/Salvia miltiorrhiza materials) on rats.Methods: The composite artificial corium was constructed by culturing fibroblast cells in gelatin-co- Bletillastriata gelatin/Salvia miltiorrhiza materials. Full-thickness area of skin was excised from the mice and subsequently, the composite corium was transplanted on the wound. Thereafter, the growth difference of the composite artificial corium and natural corium were compared. In addition, real-time fluorogenic reverse transcription polymerase chain reaction (qRT-PCR) and western blot were performed to determine vascular endothelial growth factor (VEGF) expression at gene and protein levels.Results: The composite artificial corium showed significant repair promoting effect on the skin, and the structure of the repaired skin was similar to that of natural corium. Interestingly, PCR and western blot results showed that the expressions of VEGF were higher in composite artificial corium than in natural corium on days 3 and 7 post-transplantation.Conclusion: The composite artificial corium has some clinical prospects for use in the treatment of wounds on large areas of skin.Keywords: Tissue engineering, Corium, Gelatin-co-Bletillastriata, Gelatin, Salvia miltiorrhiza, Vascularization, Vascular endothelial growth factor, VEGF

Linezolid and Rifampicin Combination to Combat cfr-Positive Multidrug-Resistant MRSA in Murine Models of Bacteremia and Skin and Skin Structure Infection.

Linezolid resistance mediated by the cfr gene in MRSA represents a global concern. We investigated relevant phenotype differences between cfr-positive and -negative MRSA that contribute to pathogenesis, and the efficacy of linezolid-based combination therapies in murine models of bacteremia and skin and skin structure infection (SSSI). As a group, cfr-positive MRSA exhibited significantly reduced susceptibilities to the host defense peptides tPMPs, human neutrophil peptide-1 (hNP-1), and cathelicidin LL-37 (P < 0.01). In addition, increased binding to fibronectin (FN) and endothelial cells paralleled robust biofilm formation in cfr-positive vs. -negative MRSA. In vitro phenotypes of cfr-positive MRSA translated into poor outcomes of linezolid monotherapy in vivo in murine bacteremia and SSSI models. Importantly, rifampicin showed synergistic activity as a combinatorial partner with linezolid, and the EC50 of linezolid decreased 6-fold in the presence of rifampicin. Furthermore, this combination therapy displayed efficacy against cfr-positive MRSA at clinically relevant doses. Altogether, these data suggest that the use of linezolid in combination with rifampicin poses a viable therapeutic alternative for bacteremia and SSSI caused by cfr-positive multidrug resistant MRSA

A COMPUTER SIMULATION OF KINETICS IN LANDING OF GYMNASTICS VAULTING

Gymnasts suffer from high impact loadings during landing and/or dismounts, and injuries are not unusual. The aims of this work were to develop a method for measuring or calculating the landing GRFs, which can be applied in practice and/or competitions, and to get loadings upon lower limbs during vaulting landings. A multi-body model with 19 segments and 52 freedoms was developed on the biomechanical simulation platform, software MSC.ADAMS / LifeMod. In order to test the validity of the model, the kinematics and simulation upon a university student’s drop jump were studied. The differences of maximum GRFs obtained from simulation studies and a force plate were less than 2.0% of the maximum GRF got by the force platform. After that, a vault performed by an elite gymnast was simulated and GRFs and net joint reaction forces and torques at ankle, knee, and hip were obtained