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Martian dust storms have a profound impact on atmospheric structure, pose multiple risks to Mars landers, and greatly affect the accuracy of sounders. This makes the accurate short-term prediction of dust storms extremely important for future Mars exploration missions. However, traditional statistical analyses fail to accurately capture the variation patterns of dust. Here, we show that the ConvGRU-Seq2Seq model can fully utilize the data to achieve a 12-h forecast of global dust. We found that considering multiple interconnected meteorological elements, particularly the wind field, and accounting for seasonal variations can enhance forecast accuracy. The addition of the Seq2Seq structure reduced the mean squared error (MSE) by 85.3% and the mean absolute error (MAE) by 75.07%, compared with the original ConvGRU model. Among the six models compared, the ConvGRU-Seq2Seq model exhibited the best test performance, with MSE, MAE, and R2 values of 8.73×10−4, 13.48×10−3, and 98.12×10−2, respectively. The model exhibited stable and reliable prediction performance and a more concentrated and accurate spatial distribution of errors. We achieved a rapidly changing dust activity forecast within 12 h with

Abstract The Martian atmospheric waves perturbation Datasets (MAWPD) version 2.0 is the first observation-based climatology dataset of Martian atmospheric waves. It contains climatology-gridded temperature, gravity waves, and tides spanning the whole Martian year. MAWPD uses the Data INterpolating Empirical Orthogonal Functions method (DINEOF) reconstruction method for data assimilation with the observational data from the Mars Global Surveyor (MGS), Mars Reconnaissance Orbiter (MRO), Mars Atmosphere and Volatile EvolutioN (MAVEN), Mars Pathfinder (MP), Mars Phoenix Lander (MPL), Mars Exploration Rover (MER) and Mars Express (MEX) temperature retrievals. The dataset includes gridded fields of temperature (Level 1 data) as well as the physical quantities of GWs (Level 2 data, amplitude, and potential energies), SPWs and tides (Level 2 data, amplitude, and phase). The MAWPD, based entirely on multiple reliable observations, provides climatological background atmospheric information of temperature and wave disturbances on Mars. The dataset is not only useful for observation-based scientific studies concerning Martian atmospheric waves, e.g., circulation, dust storms, and wave excitation mechanism, but also for cross-validating with model-based datasets or model results.

Background and objective GRP75, a member of HSPs which is overexpressed in some resistant cancer cells, is a molecular chaperone mainly located in mitochondrial membrane. The aim of this study is to investigate the role of GRP75 on the resistant mechanisms of cancer cells by downregulating GRP75 expreesion via RNAi approach. Methods Cisplatin-resistant cell A549/CDDP was established from their parental human lung adenocarcinoma cell line A549 by combining gradually increasing concentrations of cisplatin with high dosage impact. The shRNA for GRP75 was transfected into A549 and A549/CDDP cells by lentivirus. Western blot and methyl thiazolyl tetrazolium (MTT) assay were applied to detect the influence of silencing GRP75 expression on sensitivity of the cells to cisplatin. Results The infection rate of six groups were all over 90%. After infection, the level of expression of GRP75 in both A549 and A549/CDDP were down-regulated (P < 0.05); the level of expression of p53 in A549/CDDP was up-regulated (P < 0.05) and the level of expression of bcl-2 of A549/CDDP was down-regulated (P < 0.05). The resistance index of A549/CDDP before and after infection were 21.52 and 4.14 respectively. Conclusion Cisplatin resistance of lung cancer cells is associated with overexpression of GRP75 gene, which could regulate the expressions of p53 and bcl-2.

MicroRNA (miRNA) is a type of small non-coding RNA molecule that has important roles in cancer initiation, promotion and progression by negatively regulating gene expression. In this study, we explored the role of miRNAs in the prognosis of patients with non-small cell lung cancer (NSCLC). The miRNA expression profiles were determined in 5 pairs of NSCLC and paracancerous tissues (3 adenocarcinomas and 2 squamous cell carcinomas). Aberrantly expressed miRNAs were validated by quantitative real-time PCR (qRT-PCR) in 61 pairs of NSCLC and paracancerous tissues. Differentially expressed miRNAs were further analyzed in sera from 94 healthy subjects and 94 advanced NSCLC patients receiving platinum-based chemotherapy. Three miRNAs (miR-19b, miR-146a, and miR-223) were significantly dysregulated in NSCLC tissues (P < 0.05). High miR-19b and low miR-146a expression in NSCLC tissues were associated with higher TNM stage, lymph node metastasis and poorer survival (P < 0.05). The serum levels of miR-19b in NSCLC patients were significantly higher (P < 0.001), whereas serum levels of miR-146a were significantly lower (P < 0.001), compared with those in controls. Serum levels of miR-19b and miR-146a were associated with overall survival of NSCLC patients (P < 0.05). Patients with low serum level of miR-19b and high serum level of miR-146a achieved a higher overall response rate and longer survival time (P < 0.05). These data suggest that miR-19b and miR-146a are potential biomarkers for the prediction of survival and response to chemotherapy in NSCLC. [ABSTRACT FROM AUTHOR]