Twinsol: A dual superconducting solenoid system for low-energy radioactive nuclear beam research

A unique type of apparatus is currently under construction as part of an upgrade to the radioactive ion beam facility at the University of Notre Dame Nuclear Structure Laboratory. The device will consist of a pair of large in-line superconducting solenoids (B0 = 6 tesla,B0=6tesla, bore=30 cmbore=30cm) which will be used to produce, collect, transport, focus and analyze both stable and radioactive nuclear beams. This apparatus in conjunction with the recently upgraded accelerators at Notre Dame is especially well suited for the production and utilization of intense (viz. >106/sec>106/sec), low-energy (1–10 MeV/u), stable and radioactive nuclear beams relevant to the study of reactions involved in astrophysical processes. These improvements will allow for the production of radioactive beams of greater intensity, higher purity and at both higher and lower energies than previously available at this facility. The first phase of construction and results of initial tests will be reported. © 1997 American Institute of Physics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87534/2/397_1.pd

PINT: A Modern Software Package for Pulsar Timing

Over the past few decades, the measurement precision of some pulsar-timing experiments has advanced from ~10 us to ~10 ns, revealing many subtle phenomena. Such high precision demands both careful data handling and sophisticated timing models to avoid systematic error. To achieve these goals, we present PINT (PINT Is Not Tempo3), a high-precision Python pulsar timing data analysis package, which is hosted on GitHub and available on Python Package Index (PyPI) as pint-pulsar. PINT is well-tested, validated, object-oriented, and modular, enabling interactive data analysis and providing an extensible and flexible development platform for timing applications. It utilizes well-debugged public Python packages (e.g., the NumPy and Astropy libraries) and modern software development schemes (e.g., version control and efficient development with git and GitHub) and a continually expanding test suite for improved reliability, accuracy, and reproducibility. PINT is developed and implemented without referring to, copying, or transcribing the code from other traditional pulsar timing software packages (e.g., TEMPO and TEMPO2) and therefore provides a robust tool for cross-checking timing analyses and simulating pulse arrival times. In this paper, we describe the design, usage, and validation of PINT, and we compare timing results between it and TEMPO and TEMPO2.Comment: Re-submitted to the Astrophysical Journal at December 31st, 202

Advancing employee engagement theory : a re-examination of the psychological conditions and antecedents of engagement

The engagement of employees has been a 'hot topic' among business and organizational behaviour researchers, consultants and human resource practitioners in recent years. Engagement is a motivational concept. In this study employee engagement (or job engagement) has been defined as an employee's full investment of oneself in one's work activities. The study nevertheless accepts that the field of engagement has been plagued with numerous terms, definitions, measures and theories. Although engagement research originated in the early 1990s, there is today a lack of consensus and consistency about important conceptual issues, such as definition and dimensionality. The current scholarly work sought to bring some clarity to the field by firstly recognising two broad streams for which the conceptualizing, theorising and operationalizing of engagement have differed markedly. The self-investment and anti-burnout engagement streams were named. Next, a domain for research focus was selected. The self-investment engagement stream, which offers the most unique, objective and encompassing meaning and theory of engagement, was identified. This stream recognises Kahn's 1990 work as the foundation of engagement study. The conceptualization of engagement as the full-investment of oneself, physically, cognitively and emotionally in one's work has been derived from this early contribution. The theory of engagement found within the self-investment stream, proposes that several antecedents influence three psychological conditions, which in turn predict engagement. in the current study, task-relevant job resources, socially relevant job resources and job demand characteristic were incorporated in the theoretical framework for evaluation. The job characteristic antecedents are task significance, skill variety, autonomy, feedback, internal interaction, work overload, friendship opportunity and managerial support. The psychological conditions of engagement are known as psychological meaningfulness, availability and safety. The study's results have supported the hypotheses that task significance and internal interaction are direct predictors of meaningfulness; autonomy, feedback, internal interaction and work overload are predictors of psychological availability; while, friendship opportunity and managerial support are significantly associated with psychological safety. The three psychological conditions were positively associated with engagement. It was found that psychological meaningfulness mediated the associations between the other two conditions and engagement. Then, skill variety showed a direct positive association with engagement, rather than an indirect association via one of the psychological conditions

Percent of gravid snails occurring in Core1 and 2 each week from 25 March 2012 through 30 March 2014 plotted against the maximum weekly temperature (dots).

<p>The heavy full line shows the predicted relationship based on logistic regression with 95% confidence limits (broken lines).</p

The dates and number of giant African snails collected from 22 locations (cores) located in Miami Dade County, Florida, USA.

<p>The dates and number of giant African snails collected from 22 locations (cores) located in Miami Dade County, Florida, USA.</p

Relationship between the size of gravid giant African snails and the number of eggs produced per snail.

<p>Dots: Observed values. Full line: Predicted relationship. Broken lines: 95% confidence limits.</p

Populations (cores) of Giant African Snail located in Miami-Dade County, Florida USA, studied from March 29, 2012 through April 1, 2014.

<p>Populations (cores) of Giant African Snail located in Miami-Dade County, Florida USA, studied from March 29, 2012 through April 1, 2014.</p

Factors affecting the abundance of snails from 25 March 2012 through 30 March 2014.

<p>A. Number of giant African snails (≥ 45 mm) in Core 1 and 2. B. Number of Giant African Snails (≥ 45 mm) in Core 4, 5, 10 and 12. Trend lines for the periods where snails were controlled by means of standard (full bold line) or metaldehyde (broken bold line) treatments are shown. The arrows mark the change from standard to metaldehyde treatments. Thin lines show the predicted number of snails using treatment, time and the average daily humidity (<i>mHumAvg</i>) for each week as predictor variables (Core 1 and 2 only).</p

Relationship between the size of giant African snails and (A) the percentage of reproductive snails, (B) the number of eggs per reproductive snail, and (C) the distributions of snails (left axis) and eggs (right axis) per size class.

<p>Data are grouped in size classes of 5 mm. Dots and vertical lines: Observed values with 95% confidence limits for the mean (for points where <i>n ></i> 1). Full and broken lines: predicted values with 95% confidence limits. Bars: Percentage of all snails (red) and reproductive snails (blue) in size class <i>S</i>.</p