Columbus Technical College

Abstract: A clustered system is provided for querying large amounts of data at fast speed allowing for variable sampling and speculation to speed up subsequent queries. An API using actor messages is provided to the user to be able to send SQL queries, the desired sample rater and the cube schema in which the user believes all queries in this session should fit. The underlying data store is agnostic and can utilize any system that supports aggregation.

Abstract: The main function of an exhaust system is to control the noise and to funnel exhaust fumes. The catalytic converter is designed to reduce the amount of harmful emissions products by transforming pollutants into water vapor and less harmful gases. Converter’s modal parameters such as frequency, damping and mode shapes play a significant role in functioning of an exhaust system. The influence of the thermal expansion unit of the close coupled catalytic converter on the exhaust system and experimental modal analysis of catalytic converter is presented. It is observed that there is good correlation between the calculation results based on finite element analysis and the results obtained from experimental modal analysis.

Abstract: Background Cumulative evidence suggests that long non-coding RNAs (lncRNAs) play an important role in tumorigenesis. This study aims to identify lncRNAs that can serve as new biomarkers for breast cancer diagnosis or screening. Methods First, the linear fitting method was used to identify differentially expressed genes from the breast cancer RNA expression profiles in The Cancer Genome Atlas (TCGA). Next, the diagnostic value of all differentially expressed lncRNAs was evaluated using a receiver operating characteristic (ROC) curve. Then, the top ten lncRNAs with the highest diagnostic value were selected as core genes for clinical characteristics and prognosis analysis. Furthermore, core lncRNA-mRNA co-expression networks based on weighted gene co-expression network analysis (WGCNA) were constructed, and functional enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID). The differential expression level and diagnostic value of core lncRNAs were further evaluated by using independent data set from Gene Expression Omnibus (GEO). Finally, the expression status and prognostic value of core lncRNAs in various tumors were analyzed based on Gene Expression Profiling Interactive Analysis (GEPIA). Results Seven core lncRNAs (LINC00478, PGM5-AS1, AL035610.1, MIR143HG, RP11-175K6.1, AC005550.4, and MIR497HG) have good single-factor diagnostic value for breast cancer. AC093850.2 has a prognostic value for breast cancer. AC005550.4 and MIR497HG can better distinguish breast cancer patients in early-stage from the advanced-stage. Low expression of MAGI2-AS3, LINC00478, AL035610.1, MIR143HG, and MIR145 may be associated with lymph node metastasis in breast cancer. Conclusion Our study provides candidate biomarkers for the diagnosis and prognosis of breast cancer, as well as a bioinformatics basis for the further elucidation of the molecular pathological mechanism of breast cancer.

Abstract: The Suomi National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) has successfully operated for more than three years since its launch in October 2011. Fifteen of the 22 VIIRS spectral bands are in the reflective solar spectral region, covering wavelengths from 0.41 to 2.3 $\mu\mbox{m}$ . Similar to its heritage sensor, i.e., Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA Terra and Aqua spacecraft, the measurements of these spectral bands are routinely calibrated on orbit by a solar diffuser (SD) and an SD stability monitor (SDSM) system. In addition, lunar observations are regularly scheduled and implemented, allowing the reflective solar band (RSB) calibration stability to be independently monitored. This paper provides an overview of VIIRS RSB on-orbit calibration activities and methodologies, with a focus on the approaches and strategies developed for the lunar calibration. Results derived from VIIRS lunar observations are used to assess its RSB on-orbit performance and to compare with that derived from the SD measurements. Also discussed in this paper are issues identified since launch through comparisons of VIIRS SD and lunar calibration, remaining challenges, and future improvements. Specifically, potential impacts due to degradation caused by the telescope mirror coating contamination on both SD and lunar calibration are assessed. As demonstrated in this paper, VIIRS lunar calibration activities have been successfully planned and executed, in support of its RSB on-orbit calibration. Overall, the long-term response trending derived from lunar calibrations has been consistent with that derived from SD observations. In addition to small features in SD measurements, noticeable seasonal variations, on the order of 1%, between the lunar measurements and the model have been identified. These variations are likely due to the effect of different lunar viewing angles on the lunar irradiance reference model. Future improvements to the sensor's lunar response trending could be achieved with an improved lunar irradiance model.