Built to Last or Built Too Fast? Evaluating Prediction Models for Build Times

Automated builds are integral to the Continuous Integration (CI) software development practice. In CI, developers are encouraged to integrate early and often. However, long build times can be an issue when integrations are frequent. This research focuses on finding a balance between integrating often and keeping developers productive. We propose and analyze models that can predict the build time of a job. Such models can help developers to better manage their time and tasks. Also, project managers can explore different factors to determine the best setup for a build job that will keep the build wait time to an acceptable level. Software organizations transitioning to CI practices can use the predictive models to anticipate build times before CI is implemented. The research community can modify our predictive models to further understand the factors and relationships affecting build times.Comment: 4 paged version published in the Proceedings of the IEEE/ACM 14th International Conference on Mining Software Repositories (MSR) Pages 487-490. MSR 201

Tracking excited states in wave function optimization using density matrices and variational principles

We present a method for finding individual excited states' energy stationary points in complete active space self-consistent field theory that is compatible with standard optimization methods and highly effective at overcoming difficulties due to root flipping and near-degeneracies. Inspired by both the maximum overlap method and recent progress in excited state variational principles, our approach combines these ideas in order to track individual excited states throughout the orbital optimization process. In a series of tests involving root flipping, near-degeneracies, charge transfers, and double excitations, we show that this approach is more effective for state-specific optimization than either the naive selection of roots based on energy ordering or a more direct generalization of the maximum overlap method. Furthermore, we provide evidence that this state-specific approach improves the performance of complete active space perturbation theory. With a simple implementation, a low cost, and compatibility with large active space methods, the approach is designed to be useful in a wide range of excited state investigations.Comment: 13 pages, submitted to JCT

Producer Services: A Hub for STEM and an Engine for Job Growth

The producer services sector, which includes professional and technical services such as accounting, engineering, computer programming, advertising and consulting, is the fastest growing, high-wage segment of the U.S. economy. Producer services employment grew by 15 percent nationwide from 2008 through 2017 but only by 5 percent in Nebraska. Nebraska growth lagged the nation in part because the state has smaller metropolitan areas. Producer service businesses tend to congregate in larger cities. To grasp more opportunities in this growing, high wage sector, Nebraska needs to train more workers in STEM occupations, encourage the development of small businesses in the sector, and continue to improve the state\u27s quality of life

Improving excited state potential energy surfaces via optimal orbital shapes

We demonstrate that, rather than resorting to high-cost dynamic correlation methods, qualitative failures in excited-state potential energy surface predictions can often be remedied at no additional cost by ensuring that optimal molecular orbitals are used for each individual excited state. This approach also avoids the weighting choices required by state-averaging and dynamic weighting and obviates their need for expensive wave function response calculations when relaxing excited state geometries. Although multi-state approaches are of course preferred near conical intersections, other features of excited-state potential energy surfaces can benefit significantly from our single state approach. In three different systems, including a double bond dissociation, a biologically relevant amino hydrogen dissociation, and an amino-to-ring intramolecular charge transfer, we show that state-specific orbitals offer qualitative improvements over the state-averaged status quo.Comment: 6 pages, 6 figures, 1 tabl

Robust design of a passive wind turbine system

The effectiveness of full passive Wind Turbine (WT) systems has been recently demonstrated. Such low cost and reliable structures without active control and with a minimum number of sensors can be efficient only if the system design parameters are mutually adapted through an integrated optimal design approach. Even if there is a good agreement between theoretical design models and an experimental prototype, it is relevant to evaluate the WT efficiency with respect to design variable variations. Thus, this work is devoted more specifically to the sensitivity analysis of a passive WT system according to electrical variable variations of the Permanent Magnet Synchronous Generator (PMSG). It also investigates the interest of a robust design approach for reducing the sensitivity of the WT efficiency to specific variable variations

Low Cost Timing System for High Precision Particle Detection

The project goal was to find a way to make a low-cost high precision timing system. High precision timing systems are already on the market, however, at a high cost. Various particle research projects need a large number of timers, so a substantial budget is required. In order to bypass the need for a large enough budget, commercially available parts were used and tested. The timing system consisted of multiple parts with different low-cost microchips and counters. In order for the project to meet its goal, the timers need to work under 50 picoseconds. Although some tests showed the timers working under 50 picoseconds, most tests were over. Additional testing and research need to be done to improve on the work that was done

Modelling the emergence of shared attitudes from group dynamics using an agent-based model of social comparison theory

We propose a novel agent-based implementation of Festinger’s social comparison theory (SCT). The social comparison model (SCM) consists of connectionist networks that simu- late agent-level social comparison processes. Agent networks are combined into an adap- tive network structure that is shaped by social comparisons between individual agents. Simulations show how the SCM produces behavior consistent with the empirical litera- ture on group dynamics. In addition, experimental results are reported that show how the SCM can simulate how critical and conformist norms affect interpersonal processes and emergent attitudes. We conclude that the coupling of simulations and experiments, and the use of psychologically plausible agent models within adaptive network struc- tures, can provide new impetus to the development of models of individual and social cognition. An integrated framework such as the SCM allows investigating key theoretical predictions around the origin and maintenance of socially shared information through so- cial comparisons in fundamentally novel ways

Generic and configurable diagnosis function based on production data stored in Manufacturing Execution System

International audienceThe paper proposes a diagnosis approach corresponding to the specific MES level to provide information on the origins of a performance indicator degradation. Our key distribution is the proposal of a set of potential causes that may impact the successful completion of production operations, such as the operator stress, quality of material, equipment or recipe change and their characteristic parameters by exploiting MES historical database. We use Bayesian Network model to diagnose the potential failure causes and support effective human decisions on corrective actions (maintenance, human resource planning, recipe re-qualification, etc) by computing conditional probabilities for each suspected proposed causes

Prospective observational study of point-of-care creatinine in trauma.

Background:Patients with trauma are at risk for renal dysfunction from hypovolemia or urological injury. In austere environments, creatinine values are not available to guide resuscitation. A new portable device, the Stat Sensor Point-of-care (POC) Whole Blood Creatinine Analyzer, provides accurate results in <30 s and requires minimal training. This device has not been evaluated in trauma despite the theoretical benefit it provides. The purpose of this study is to determine the clinical impact of the POC device in trauma. Methods:40 patients with trauma were enrolled in a prospective observational study. One drop of blood was used for creatinine determination on the Statsensor POC device. POC creatinine results were compared to the laboratory. Turnaround time (TAT) for POC and laboratory methods was calculated as well as time elapsed to CT scan if applicable. Results:Patients (n=40) were enrolled between December 2014 and March 2015. POC creatinine values were similar to laboratory methods with a mean bias of 0.075±0.27 (p=0.08). Mean analytical TATs for the POC measurements were significantly faster than the laboratory method (11.6±10.0 min vs 78.1±27.9 min, n=40, p<0.0001). Mean elapsed time before arrival at the CT scanner was 52.9±34.2 min. Conclusions:The POC device reported similar creatinine values to the laboratory and provided significantly faster results. POC creatinine testing is a promising development for trauma practice in austere environments and workup of a subset of stable patients with trauma. Further study is warranted to determine clinical impact, both in hospital-based trauma and austere environments