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The photodegradation performance of ternary RGO/g-C3N4/LaCO3OH composite under visible light irradiation is enhanced by the construction of g-C3N4/LaCO3OH heterojunction and the introduction of RGO as a cocatalyst.

In this paper, we solve constructively the piston problem for one-dimensional isentropic Euler equations of modified Chaplygin gas. In solutions, we prove rigorously the global existence and uniqueness of a shock wave separating constant states ahead of the piston when the piston pushed forward into the gas. It is quite different from the results of Chaplygin gas or generalized Chaplygin gas in which a Radon measure solution is constructed to deal with concentration of mass on the piston. When the piston pulled back from the gas, we strictly confirm only the first family rarefaction wave exists in front of the piston and the concentration will never occur. In addition, by studying the limiting behavior, we show that the piston solutions of modified Chaplygin gas equations tend to the piston solutions of generalized or pure Chaplygin gas equations as a single parameter of pressure state function vanishes., Comment: 15 pages

The on-orbit operation and all-weather duty of spacecraft lead to the rapid increase of test data, which brings severe challenges to fault diagnosis. In recent years, deep learning has shown excellent performance in feature extraction and pattern recognition. More and more attentions have been paid to the application of deep learning in spacecraft fault diagnosis. However, the success of deep learning largely relies on sufficient labeled data. Due to the high reliability of spacecraft, the test data usually contains lots of normal sample points, while the faulty sample points are extremely scarce. Firstly, this paper designs a fault diagnosis model based on 1-D convolutional neural network, which directly processes the 1-D raw data and extracts features; then, for the first time, the transfer learning technology is introduced into the field of spacecraft fault diagnosis, and a domain adaptive deep transfer model is proposed. MMD is used to reduce the discrepancy of data probability distribution between the source and target domain. The results of the experiments show that the proposed model could accurately diagnose and identify the faults of spacecraft in different application scenarios.

The developmental pluripotency-associated 4 (Dppa4) gene serves critical roles in cell self-renewal, as well as in cancer development and progression. However, the regulatory role of Dppa4 in non-small-cell lung cancer (NSCLC) and its underlying mechanisms remain elusive. The aim of the present study was to investigate the biological function of Dppa4 in NSCLC and its underlying mechanism of action. Dppa4 expression was measured in NSCLC tissue samples and cell lines, and its effect on cell proliferation and the expression of glycolytic enzymes was determined. In addition, the underlying mechanisms of Dppa4-induced alterations in glycolysis were analyzed. Univariate and multivariate analyses were also performed to analyze the prognostic significance of clinicopathological characteristics. Dppa4 was found to be highly expressed in NSCLC tissues and cell lines. Furthermore, it was observed that Dppa4 was correlated with the degree of tumor differentiation and TNM stage. Univariate and multivariate analyses identified Dppa4 expression and clinical stage as prognostic factors for NSCLC patients. Kaplan-Meier analysis further revealed that patients with lower Dppa4 expression exhibited a better prognosis. In NSCLC cells, Dppa4 knockdown inhibited cell proliferation, while Dppa4 overexpression enhanced cell proliferation, which was likely mediated by glycolysis promotion. Dppa4 knockdown had no evident effect on the majority of enzymes examined; however, glucose transporter type 4 (GLUT-4) and pyruvate kinase isozyme M2 were significantly upregulated, and hexokinase II (HK-II) and lactate dehydrogenase B (LDHB) were downregulated following Dppa4 knockdown. By contrast, Dppa4 overexpression resulted in downregulation of GLUT-4, and upregulation of HK-II, enolase and LDHB, whereas it had no effect on other enzymes. Since the most evident effect was observed on LDHB, further functional experiments demonstrated that this enzyme reversed the promoting effects of Dppa4 in NSCLC. In conclusion, Dppa4 promotes NSCLC progression, partly through glycolysis by LDHB. Thus, the Dppa4-LDHB axis critically contributes to glycolysis in NSCLC cells, thereby promoting NSCLC development and progression.

The D816X (X = V, H, Y or F) missense mutation constitutively activates c-Kit kinase in gastrointestinal stromal tumor (GIST) and has been observed to cause acquired resistance against first-line and second-line kinase inhibitors. In the present study, the allosteric mechanism of D816X-induced c-Kit conformational change is investigated at molecular level. The Asp816 residue is located at the activation loop (A-loop) of c-Kit and the mutation can eliminate a negative formal charge from the loop region by substituting the acidic asparagic acid residue with neutral valine, histidine, tyrosine or phenylalanine. Here, we classify the c-Kit kinase into four states in terms of its mutation (wild type or mutant) and conformation (DFG-in or DFG-out). The wild-type kinase is electrostatically stabilized in inactive DFG-out conformation, whereas the D816X mutation can promote the conformational conversion to active DFG-in and then activate the kinase. Structural analysis reveals that the Asp816 residue in DFG-out is surrounded by a number of polar and positively charged residues within its first and second shells of protein context, and kinase conformational change to DFG-in brings this residue into a negative electrostatic potential environment. Dynamics simulation characterizes that the c-Kit conformational conversion from DFG-out to DFG-in can cause local unfavorable effect to type-II inhibitor, while the mutation-induced global structural rearrangement would participate in the favorable interaction of c-Kit with type-I inhibitor.