1,654 research outputs found

    An Integer Linear Programming Solution to the Telescope Network Scheduling Problem

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    Telescope networks are gaining traction due to their promise of higher resource utilization than single telescopes and as enablers of novel astronomical observation modes. However, as telescope network sizes increase, the possibility of scheduling them completely or even semi-manually disappears. In an earlier paper, a step towards software telescope scheduling was made with the specification of the Reservation formalism, through the use of which astronomers can express their complex observation needs and preferences. In this paper we build on that work. We present a solution to the discretized version of the problem of scheduling a telescope network. We derive a solvable integer linear programming (ILP) model based on the Reservation formalism. We show computational results verifying its correctness, and confirm that our Gurobi-based implementation can address problems of realistic size. Finally, we extend the ILP model to also handle the novel observation requests that can be specified using the more advanced Compound Reservation formalism.Comment: Accepted for publication in the refereed conference proceedings of the International Conference on Operations Research and Enterprise Systems (ICORES 2015

    CS 214-01: Visual Basic Programming

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    This course will cover the fundamentals of object-oriented computer programming; with an emphasis on design, structure, debugging, and testing. Visual Basic 2010 will be used for developing programs

    Effects of Physical Education and Athletics Enrollment on Student Achievement

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    The purpose of this dissertation was to add to the existing research concerning the effects of physical activity on academic achievement. The effects by gender of students enrolled in two or more physical activity classes in grades 9-11 versus less than two on academic achievement as measured by the overall composite, English, Math, Reading and Science scores on the ACT for eleventh-grade students were analyzed. This quantitative, causal comparative study was performed in a rural high school in Arkansas. The high school had an approximate 800 student population of which 20% were categorized as free and/or reduced lunch. The Universal ACT, given to all eleventh graders, was used as the instrument to measure academic achievement. All categories (Composite, English, Math, Reading, and Science) were used for evaluation. Included in the sample were all eleventh grade students over a two-year period. Approximately 460 students comprised the sample. The students were classified according to their gender and the number of physical activity classes they had taken during their ninth-twelfth grade years. The two categories of the number of physical activity classes were those with fewer than 2 semesters of physical education classes and those with two or more. Since the requirement for physical education courses was one semester, the split divided the students into groups of those who went above the minimum requirement and those who did not. Five 2 x 2 factorial ANOVAs were used to analyze the data for all hypotheses. No significant interaction effects were observed between students enrolling in two or more physical activity classes and those who did not by gender except in the area of Science. Further, simple effects analysis showed among the students with fewer than two semesters of physical activity, males scored significantly higher on the ACT Science than did females. No significant main effects were observed of number of physical activity courses enrolled through the hypotheses

    LCOGT Network Observatory Operations

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    We describe the operational capabilities of the Las Cumbres Observatory Global Telescope Network. We summarize our hardware and software for maintaining and monitoring network health. We focus on methodologies to utilize the automated system to monitor availability of sites, instruments and telescopes, to monitor performance, permit automatic recovery, and provide automatic error reporting. The same jTCS control system is used on telescopes of apertures 0.4m, 0.8m, 1m and 2m, and for multiple instruments on each. We describe our network operational model, including workloads, and illustrate our current tools, and operational performance indicators, including telemetry and metrics reporting from on-site reductions. The system was conceived and designed to establish effective, reliable autonomous operations, with automatic monitoring and recovery - minimizing human intervention while maintaining quality. We illustrate how far we have been able to achieve that.Comment: 13 pages, 9 figure

    Tesseract CubeSat Bus with Deployable Solar Panels

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    This project will aim to create a new CubeSat satellite structure that incorporates new subsystems to increase the manufacturability and versatility of PolySat’s standard satellite architecture. This new structure will incorporate deployable solar panels into the system, increasing power generation for the satellite. The structure of the CubeSat is vital to the overall system’s performance, and developing a standard high-performance system will allow for the integration of various payloads while minimizing the need for mission-specific customizations. This project will also allow for a majority of the structure to be manufactured in-house in the Cal Poly machine shops, allowing for the direct application of learn-by-doing. The integration of deployable solar panels will also involve design and fabrication of circuit boards. To complete these goals, we will leverage experience that we have had with the design and construction of previous CubeSats. Moreover, students have a chance to incorporate design processes that they have learned in various Cal Poly courses. This new structure will allow us to push the limits on what we can do with our already powerful CubeSat design. The design will allow us to provide higher performance to possible project sponsors, thus increasing the chance of winning future project proposals. Winning project proposals not only brings in funding for PolySat research projects, but also facilitates campus-wide development by bringing in additional funds for the university

    Gene expression patterns that predict sensitivity to epidermal growth factor receptor tyrosine kinase inhibitors in lung cancer cell lines and human lung tumors

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    BACKGROUND: Increased focus surrounds identifying patients with advanced non-small cell lung cancer (NSCLC) who will benefit from treatment with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI). EGFR mutation, gene copy number, coexpression of ErbB proteins and ligands, and epithelial to mesenchymal transition markers all correlate with EGFR TKI sensitivity, and while prediction of sensitivity using any one of the markers does identify responders, individual markers do not encompass all potential responders due to high levels of inter-patient and inter-tumor variability. We hypothesized that a multivariate predictor of EGFR TKI sensitivity based on gene expression data would offer a clinically useful method of accounting for the increased variability inherent in predicting response to EGFR TKI and for elucidation of mechanisms of aberrant EGFR signalling. Furthermore, we anticipated that this methodology would result in improved predictions compared to single parameters alone both in vitro and in vivo. RESULTS: Gene expression data derived from cell lines that demonstrate differential sensitivity to EGFR TKI, such as erlotinib, were used to generate models for a priori prediction of response. The gene expression signature of EGFR TKI sensitivity displays significant biological relevance in lung cancer biology in that pertinent signalling molecules and downstream effector molecules are present in the signature. Diagonal linear discriminant analysis using this gene signature was highly effective in classifying out-of-sample cancer cell lines by sensitivity to EGFR inhibition, and was more accurate than classifying by mutational status alone. Using the same predictor, we classified human lung adenocarcinomas and captured the majority of tumors with high levels of EGFR activation as well as those harbouring activating mutations in the kinase domain. We have demonstrated that predictive models of EGFR TKI sensitivity can classify both out-of-sample cell lines and lung adenocarcinomas. CONCLUSION: These data suggest that multivariate predictors of response to EGFR TKI have potential for clinical use and likely provide a robust and accurate predictor of EGFR TKI sensitivity that is not achieved with single biomarkers or clinical characteristics in non-small cell lung cancers

    First-line trifluridine/tipiracil + bevacizumab in patients with unresectable metastatic colorectal cancer: final survival analysis in the TASCO1 study

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    Colorectal cancerCàncer de còlonCáncer de colonBackground Therapeutic options are limited in patients with unresectable metastatic colorectal cancer (mCRC) ineligible for intensive chemotherapy. The use of trifluridine/tipiracil plus bevacizumab (TT-B) in this setting was evaluated in the TASCO1 trial; here, we present the final overall survival (OS) results. Methods TASCO1 was an open-label, non-comparative phase II trial. Patients (n = 153) were randomised 1:1 to TT-B (trifluridine/tipiracil 35 mg/m2 orally twice daily on days 1–5 and 8–12, and bevacizumab intravenously 5 mg/kg on days 1 and 15 of each 28-day cycle) or capecitabine plus bevacizumab (C-B; capecitabine, 1250 mg/m2 orally twice daily on days 1–14 and bevacizumab 7.5 mg/kg intravenously on day 1 of each 21-day cycle). Final OS was analysed when all patients had either died or withdrawn from the study. Adjusted multivariate regression was used to investigate the effects of pre-specified variables on OS. Results At 1 September 2020, median OS was 22.3 months (95% CI: 18.0–23.7) with TT-B and 17.7 months (95% CI: 12.6–19.8) with C-B (adjusted HR 0.78; 95% CI: 0.55–1.10). No variables negatively affected OS with TT-B. Safety results were consistent with prior findings. Conclusions TT-B is a promising therapeutic regimen in mCRC patients ineligible for intensive chemotherapy.This study was funded by Servier and Taiho
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