Influence mechanism of contact surface mechanical properties on mechanical behavior of coal rock combination

The uniaxial compression test of coal and rock combination was carried out in order to clarify the influence mechanism of the contact surface mechanical properties on the rock-burst tendency of the coal rock combination, and the contact surfaces with four different mechanical properties were considered. The variation laws of strength, elastic modulus, strain softening phenomenon, acoustic emission characteristic signal, energy accumulation and dissipation characteristics, and impact tendency of coal rock combination were analyzed. The influence mechanism of end face effect caused by the bonding properties and failure of contact surface on local deformation characteristics and strength of coal and rock was studied. The results show that the mechanical properties of the contact surface have a certain influence on the mechanical properties of the coal rock combination. The complete contact surface enhances the strength and elastic modulus of the coal rock combination, improves the elastic energy accumulation ability, inhibits the sample fracture in the pre-peak stage, and weakens the strain softening stage after the peak. The failure of the contact surface reduces the influence of the end-face effect, improves the failure degree of the coal rock combination, prolongs the post-peak strain softening process, and the strain energy density in the pre-peak stage is mainly plastic dissipation. The mechanical indexes of unbonded coal rock combination samples are lower than that of others. The constitutive relationship of coal rock combination is established, and the strength estimation method considering the contact surface failure, and the determination method of contact surface fracture are proposed. The theoretical calculation results are consistent with the experimental results. With the improvement of mechanical properties of rock coal interface, the proportion of elastic energy of combined coal increases, and the proportion of plastic property decreases. The influence law of the mechanical properties of rock coal contact surface on the rock burst tendency of coal rock combination is clarified. It is considered that the relative mechanical properties between the contact surface and coal is an important factor which causes the conflict of various indexes of coal rock combination rock burst tendency

CYGNSS Ocean Altimetry: A Status Report

Comunicación expuesta online en el CYGNSS Science Team Summer Meeting celebrado del 27 al 29 de julio de 202

Hydrogen-rich water treatment improves fresh-cut Gastrodia elata quality by regulating reactive oxygen species metabolism and energy metabolism during low temperature storage

The application of hydrogen-rich water (HRW) can extend the shelf life of fruits and vegetables. This study aims to investigate the effects of HRW on the quality of fresh-cut Gastrodia elata during low-temperature (4°C) storage. The results indicate that HRW treatment inhibited the decrease in weight loss and the increase in respiration rate, and also slowed down the decrease in total acidity and total soluble solids. HRW treatment could reduce the generation of superoxide anions and hydrogen peroxide, enhance the activity and expression of antioxidant-related enzymes such as superoxide dismutase, catalase, ascorbate peroxidase, glutathione reductase, monodehydroascorbate reductase, and dehydroascorbate reductase, and increase the content of non-enzymatic antioxidant substances, ascorbic acid and glutathione, while decreasing the activity and expression of peroxidase and polyphenol oxidase. Furthermore, HRW treatment not only inhibited the reduction in ADP and ATP content and energy charge but also attenuated the increase in AMP content. It also slowed down the decrease in the activities of H+-ATPase, succinate dehydrogenase, Ca2+-ATPase, and cytochrome C oxidase. In conclusion, these results demonstrate that HRW treatment enhances the energy levels and effectively mitigates oxidative damage, thereby preserving postharvest quality of fresh-cut G. elata

MEIS2C and MEIS2D promote tumor progression via Wnt/β-catenin and hippo/YAP signaling in hepatocellular carcinoma

Abstract Background MEIS2 has been identified as one of the key transcription factors in the gene regulatory network in the development and pathogenesis of human cancers. Our study aims to identify the regulatory mechanisms of MEIS2 in hepatocellular carcinoma (HCC), which could be targeted to develop new therapeutic strategies. Methods The variation of MEIS2 levels were assayed in a cohort of HCC patients. The proliferation, clone-formation, migration, and invasion abilities of HCC cells were measured to analyze the effects of MEIS2C and MEIS2D (MEIS2C/D) knockdown with small hairpin RNAs in vitro and in vivo. Chromatin immunoprecipitation (ChIP) was performed to identify MEIS2 binding site. Immunoprecipitation and immunofluorescence assays were employed to detect proteins regulated by MEIS2. Results The expression of MEIS2C/D was increased in the HCC specimens when compared with the adjacent noncancerous liver (ANL) tissues. Moreover, MEIS2C/D expression negatively correlated with the prognosis of HCC patients. On the other hand, knockdown of MEIS2C/D could inhibit proliferation and diminish migration and invasion of hepatoma cells in vitro and in vivo. Mechanistically, MESI2C activated Wnt/β-catenin pathway in cooperation with Parafibromin (CDC73), while MEIS2D suppressed Hippo pathway by promoting YAP nuclear translocation via miR-1307-3p/LATS1 axis. Notably, CDC73 could directly either interact with MEIS2C/β-catenin or MEIS2D/YAP complex, depending on its tyrosine-phosphorylation status. Conclusions Our studies indicate that MEISC/D promote HCC development via Wnt/β-catenin and Hippo/YAP signaling pathways, highlighting the complex molecular network of MEIS2C/D in HCC pathogenesis. These results suggest that MEISC/D may serve as a potential novel therapeutic target for HCC.https://deepblue.lib.umich.edu/bitstream/2027.42/152244/1/13046_2019_Article_1417.pd

Tensorized multi-view subspace representation learning

Self-representation based subspace learning has shown its effectiveness in many applications. In this paper, we promote the traditional subspace representation learning by simultaneously taking advantages of multiple views and prior constraint. Accordingly, we establish a novel algorithm termed as Tensorized Multi-view Subspace Representation Learning. To exploit different views, the subspace representation matrices of different views are regarded as a low-rank tensor, which effectively models the high-order correlations of multi-view data. To incorporate prior information, a constraint matrix is devised to guide the subspace representation learning within a unified framework. The subspace representation tensor equipped with a low-rank constraint models elegantly the complementary information among different views, reduces redundancy of subspace representations, and then improves the accuracy of subsequent tasks. We formulate the model with a tensor nuclear norm minimization problem constrained with ℓ2,1-norm and linear equalities. The minimization problem is efficiently solved by using an Augmented Lagrangian Alternating Direction Minimization method. Extensive experimental results on diverse multi-view datasets demonstrate the effectiveness of our algorithm