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Development of embed floors with BMP-2 within a revising environment : connection between local and also wide spread bisphosphonate.
Conclusion miR-223-3p regulates the occurrence and development of liver cancer cells by targeted down-regulating the expression of FAT1.The objective of this paper is to analyze the inclusion of one or more random parameters into the deterministic Lighthill-Whitham-Richards traffic flow model and use a semi-intrusive approach to quantify uncertainty propagation. To verify the validity of the method, we test it against real data coming from vehicle embedded GPS systems, provided by Autoroutes Trafic.The present research envisages a method for the robotic grasping based on the improved Gaussian mixture model. The improved Gaussian mixture model is a method proposed by incorporating Bayesian ideas into the Gaussian model. It will use the Gaussian model to perform grasping training in a certain area which we called trained area. The improved Gaussian models utilized the trained Gaussian models as prior models. The proposed method improved the cumulative updates and the evaluation results of the improved models to make robots more adaptable to grasp in the untrained areas. The self-taught learning ability of the robot about grasping was semi-supervised. Firstly, the observable variables of objects were determined by a camera. Then, we dragged the robot to grasp object. The relationship between the variables and robot's joint angles were mapped. We obtained new samples in the close untrained area to improve the Gaussian model. With these new observable variables, the robot grasped it successfully. Finally, the effectiveness of the method was verified by experiments and comparative tests on grasping of real objects and grasping simulation of the improved Gaussian models through the virtual robot experimentation platform.Barreto et al. (2017) showed that the genotypic cyclic competition model with three phenotypes appearing as three morphs of male lizards' throats had the same equilibrium but a wider stability region as the corresponding phenotypic model. In this paper we re-examine stability conditions under the symmetric choice of parameters for the phenotypic model so we can set the same internal equilibrium densities for all three phenotypes. In this setting we compare the stability regions of cyclic allele dominance rule. Next we consider the dynamics on a two-dimensional square lattice space and then show the effect of this spatial structure on the stability of phenotypic model. We obtain the following results (i) Cyclic allele dominance rule in a genotypic model gives a wider stable region of internal equilibrium than the allele dominance rule observed in lizards; and (ii) spatial structure drastically changes dynamical behavior, especially when all three phenotypes coexist in almost all the parameter spaces when both competition and dispersal occur locally.In this paper, an age-structured within-host viral infection model with cell-to-cell transmission and general humoral immune response is investigated. We give a rigorous mathematical analysis on some necessary technical materials, including the relative compactness and persistence of the solution semiflow, and existence of a global attractor. By subtle construction and estimates of a Lyapunov functional, we show that the global dynamics is determined by two sharp thresholds, namely, basic reproduction number $Re_0$ and immune-response reproduction number $Re_1$. When $Re_01$, the immune-activated infection steady state exists and is globally asymptotically stable. Numerical simulations are given to support our theoretical results.Recently, it has been proved that for the diffusive viral infection model with cell-to-cell infection, the virus-free steady state E0 is globally attractive when the basic reproduction number R0 1. However, the global stability analysis in the critical case of R0 = 1 is not given due to a technical difficulty. For the diffusive viral infection model including a single equation with diffusion term, global stability analysis in the critical case has been performed by constructing Lyapunov functions. Unfortunately, this method is not applicable for two or more equations with diffusion terms, which was left it as an open problem. The present study is devoted to solving this open problem and shows that E0 is globally asymptotically stable when R0 = 1 for three equations with diffusion terms by means of Gronwall's inequality, comparison theorem and the properties of semigroup.Objective This study aimed to explore the regulatory mechanism of miR-139-5p on the biological characteristics of breast cancer cells by targeting Collagen type XI alpha 1 chain (COL11A1). Method GEO2R was used to identify the differentially expressed genes (DEGs) of breast cancer in GEO database. read more miRDB, miRanda and TargetScan databases were used to predict the miRNAs that regulate COL11A1. qRT-PCR was used to detect the expressions of COL11A1 and miR-139-5p in breast cancer cells, and western blot was used to detect the protein level of COL11A1. RNA binding protein immunoprecipitation assay was employed to test the targeted relationship between miR-139-5p and COL11A1, which was further verified by dual-luciferase reporter gene assay. CCK-8 assay was performed to detect the cell proliferation, and flow cytometry was carried out to examine the cell apoptosis. Moreover, western blot was used for the detection of caspase-3, Bax and Bcl-2 protein levels. Results A total of five DEGs were screened from the GEO database, of which COL11A1 was the only highly expressed in breast cancer. According to the database analysis, we predicted that miR-139-5p was much likely to target the expression of COL11A1. MiR-139-5p was poorly expressed in breast cancer cells and targeted inhibited COL11A1. Silencing COL11A1 or overexpressing miR-139-5p both could inhibit the proliferation and promote the apoptosis, while overexpressing the two factors simultaneously could reverse such effect. Conclusion Overexpression of miR-139-5p inhibits the proliferation and promotes the apoptosis of breast cancer cells by inhibiting the expression of COL11A1.We present an analytic framework where biological pest control can be simulated. Control is enforced through the choice of a time and space dependent function representing the deployment of a species of predators that feed on pests. A sample of different strategies aimed at reducing the presence of pests is considered, evaluated and compared. The strategies explicitly taken into account range, for instance, from the uniform deployment of predators on all the available area over a short/long time interval, to the alternated insertion of predators in different specific regions, to the release of predators in suitably selected regions. The effect of each strategy is measured through a suitably defined cost, essentially representing the total amount of prey present over a given time interval over all the considered region, but the variation in time of the total amount of pests is also evaluated. The analytic framework is provided by an integro-differential hyperbolic-parabolic system of partial differential equations.
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