The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry

We present the software system developed to implement the Locus Algorithm, a novel algorithm designed to maximise the performance of differential photometry systems by optimising the number and quality of reference stars in the Field of View with the target. Firstly, we state the design requirements, constraints and ambitions for the software system required to implement this algorithm. Then, a detailed software design is presented for the system in operation. Next, the data design including file structures used and the data environment required for the system are defined. Finally, we conclude by illustrating the scaling requirements which mandate a high-performance computing implementation of this system, which is discussed in the other papers in this series

The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry

This paper discusses the hardware and software components of the Grid Computing system used to implement the Locus Algorithm to identify optimum pointings for differential photometry of 61,662,376 stars and 23,799 quasars. The scale of the data, together with initial operational assessments demanded a High Performance Computing (HPC) system to complete the data analysis. Grid computing was chosen as the HPC solution as the optimum choice available within this project. The physical and logical structure of the National Grid computing Infrastructure informed the approach that was taken. That approach was one of layered separation of the different project components to enable maximum flexibility and extensibility

The Locus Algorithm IV: Performance metrics of a grid computing system used to create catalogues of optimised pointings

This paper discusses the requirements for and performance metrics of the the Grid Computing system used to implement the Locus Algorithm to identify optimum pointings for differential photometry of 61,662,376 stars and 23,779 quasars. Initial operational tests indicated a need for a software system to analyse the data and a High Performance Computing system to run that software in a scalable manner. Practical assessments of the performance of the software in a serial computing environment were used to provide a benchmark against which the performance metrics of the HPC solution could be compared, as well as to indicate any bottlenecks in performance. These performance metrics indicated a distinct split in the performance dictated more by differences in the input data than by differences in the design of the systems used. This indicates a need for experimental analysis of system performance, and suggests that algorithmic complexity analyses may lead to incorrect or naive conclusions, especially in systems with high data I/O overhead such as grid computing. Further, it implies that systems which reduce or eliminate this bottleneck such as in-memory processing could lead to a substantial increase in performance

Student Perceptions of Interactive Television Courses in Rural Northeast Nebraska High Schools

There is a rapidly growing acceptance for using distance learning to make courses and other learning opportunities available to students who ho not have easy access to courses taught in traditional classroom settings. The purpose of this study was to evaluate the effective use of Interactive Television (ITV) technology as perceived by 130 students in rural northeastern high schools in Nebraska. The study was a descriptive research study, representing 25 high schools in northeastern Nebraska. A survey procedure was utilized to explore the effectiveness of ITV technology as a teaching and learning tool as perceived by the students. Surveys were delivered to the site coordinators of the Eastern Nebraska Distance Learning Consortium (EN-DLC) and were completed by the students during the spring semester of the 2000-2001 school year. The intent of this survey study was to determine the overall effectiveness of ITV technology courses as perceived by the students. Six questions were identified by the researcher to help to determine program effectiveness. The results are summarized below

A catalogue of Locus Algorithm pointings for optimal differential photometry for 23 779 quasars

ABSTRACT This paper presents a catalogue of optimized pointings for differential photometry of 23 779 quasars extracted from the Sloan Digital Sky Survey (SDSS) Catalogue and a Score for each indicating the quality of the Field of View (FoV) associated with that pointing. Observation of millimagnitude variability on a time-scale of minutes typically requires differential observations with reference to an ensemble of reference stars. For optimal performance, these reference stars should have similar colour and magnitude to the target quasar. In addition, the greatest quantity and quality of suitable reference stars may be found by using a telescope pointing which offsets the target object from the centre of the FoV. By comparing each quasar with the stars which appear close to it on the sky in the SDSS Catalogue, an optimum pointing can be calculated, and a figure of merit, referred to as the ‘Score’ is calculated for that pointing. Highly flexible software has been developed to enable this process to be automated and implemented in a distributed computing paradigm, which enables the creation of catalogues of pointings given a set of input targets. Applying this technique to a sample of 40 000 targets from the fourth SDSS quasar catalogue resulted in the production of pointings and Scores for 23 779 quasars based on their magnitudes in the SDSS r-band. This catalogue is a useful resource for observers planning differential photometry studies and surveys of quasars to select those which have many suitable celestial neighbours for differential photometry

Electing Law Enforcement Leadership: Examining the Effects of Politics and Job-related Qualifications on Personnel Assessment and Decisions for Sheriff

Calls for police reform have become frequent in the United States. Efforts to enact meaningful organizational change will require support from senior law enforcement leadership. Personnel selection for several of these positions (e.g., Sheriff) occurs via local election. Little is known, however, about the factors that influence voters’ assessment of candidates for these positions and the extent to which decision-making for personnel selection via election is influenced by the same beliefs (e.g., person-job and person-organization fit) as more traditional approaches to hiring. This study explores the extent to which voters’ perceptions of two candidates for the position of Sheriff are affected by their job-related qualifications and political affiliations – and the extent to which these perceptions influence voter behavior. Results suggest that the combination of participants’ and candidates’ political affiliations accounted for substantial incremental variance in evaluations of the candidates’ person-job fit, person-organization fit, and overall suitability for employment above-and-beyond differences in their job-related qualifications; and that participants were approximately 39% more likely to vote for the candidate with lower job-related qualifications when that candidate shared their political affiliation. Reports about the extent to which republicans and democrats value/ support police practices provide insights as to why these effects were observed

In Vivo Targeting of Organic Calcium Sensors via Genetically Selected Peptides

AbstractA library of constrained peptides that form stable folded structures was screened for aptamers that bind with high affinity to the fluorescent dye Texas red. Two selected clones had binding constants to Texas red of 25 and 80 pM as phage and binding had minimal effects on the fluorescence of Texas red. The peptides interact with distinct but overlapping regions of Texas red. One peptide bound to X-rhod calcium sensors, which share the same core fluorophore as Texas red. These dyes retained calcium sensitivity when bound to the peptide. This peptide was used to label a fusion protein with X-rhod-5F in vivo, and X-rhod sensed changes in calcium locally. Thus, minimal, constrained peptides can functionally bind to environmentally sensitive dyes or other organic agents in biological contexts, suggesting tools for in vivo imaging and analysis