An investigation on the effect of driver style and driving events on energy demand of a PHEV

Environmental concerns, security of fuel supply and CO2 regulations are driving innovation in the automotive industry towards electric and hybrid electric vehicles. The fuel economy and emission performance of hybrid electric vehicles (HEVs) strongly depends on the energy management system (EMS). Prior knowledge of driving information could be used to enhance the performance of a HEV. However, how the necessary information can be obtained to use in EMS optimisation still remains a challenge. In this paper the effect of driver style and driving events like city and highway driving on plug in hybrid electric vehicle (PHEV) energy demand is studied. Using real world driving data from three drivers of very different driver style, a simulation has been exercised for a given route having city and highway driving. Driver style and driving events both affect vehicle energy demand. In both driving events considered, vehicle energy demand is different due to driver styles. The major part of city driving is reactive driving influenced by external factors and driver leading to variation in vehicle speed and hence energy demand. In free highway driving, the driver choice of cruise speed is the only factor affecting vehicle energy demand

Character Strengths as a Pathway to Obtaining and Maintaining Employment for Job Seekers with Disabilities: A Model for Building Job Seeker Hope and Self-Efficacy

Americans with disabilities experience low rates of employment and are more than twice as likely to live in poverty than their non-disabled peers. Job seekers with disabilities face a myriad of external barriers to employment: 1) lower education/skill attainment, 2) complex public benefit rules, 3) limited access to reliable transportation, 4) lack of work-related supports, and 5) persistent employer-bias. These challenges are compounded by internal barriers: 1) diminished self-efficacy and hope, 2) social role devaluation, and 3) extrinsic work motivations. Several theories within positive psychology offer new pathways to employment for people with disabilities. One such theory is character strengths. Character strengths offer a framework for understanding who we are at our core and how to leverage our strengths to improve outcomes in multiple areas of life. Research on character has led to the design of interventions to build hope and self-efficacy, and to foster goal achievement. This paper will review research on character strengths as a facilitator of employment for job seekers with disabilities and provide an outline for integrating character-based positive interventions into a national employment program for people with acquired physical disabilities

Efficient computation of the Shapley value for game-theoretic network centrality

The Shapley value—probably the most important normative payoff division scheme in coalitional games—has recently been advocated as a useful measure of centrality in networks. However, although this approach has a variety of real-world applications (including social and organisational networks, biological networks and communication networks), its computational properties have not been widely studied. To date, the only practicable approach to compute Shapley value-based centrality has been via Monte Carlo simulations which are computationally expensive and not guaranteed to give an exact answer. Against this background, this paper presents the first study of the computational aspects of the Shapley value for network centralities. Specifically, we develop exact analytical formulae for Shapley value-based centrality in both weighted and unweighted networks and develop efficient (polynomial time) and exact algorithms based on them. We empirically evaluate these algorithms on two real-life examples (an infrastructure network representing the topology of the Western States Power Grid and a collaboration network from the field of astrophysics) and demonstrate that they deliver significant speedups over the Monte Carlo approach. Fo

Modelling the relative velocities of isolated pairs of galaxies

We study the comoving relative velocities, v12, of model isolated galaxy pairs at z=0.5. For this purpose, we use the predictions from the GALFORM semi-analytical model of galaxy formation and evolution based on a Lambda cold dark matter cosmology consistent with the results from WMAP7. In real space, we find that isolated pairs of galaxies are predicted to form an angle t with the line-of-sight that is uniformily distributed as expected if the Universe is homogeneous and isotropic. We also find that isolated pairs of galaxies separated by a comoving distance between 1 and 3 Mpc/h are predicted to have =0. For galaxies in this regime, the distribution of the angle t is predicted to change minimally from real to redshift space, with a change smaller than 5% in . However, the distances defining the comoving regime strongly depends on the applied isolation criteria.Comment: 4 pages, 4 figures, SF2A 2013 Proceedin

Implementing pediatric inpatient asthma pathways.

ObjectivePathways are succinct, operational versions of evidence-based guidelines. Studies have demonstrated pathways improve quality of care for children hospitalized with asthma, but we have limited information on other key factors to guide hospital leaders and clinicians in pathway implementation efforts. Our objective was to evaluate the adoption, implementation, and reach of inpatient pediatric asthma pathways.MethodsThis was a mixed-methods study of hospitals participating in a national collaborative to implement pathways. Data sources included electronic surveys of implementation leaders and staff, field observations, and chart review of children ages 2-17 years admitted with a primary diagnosis of asthma. Outcomes included adoption by hospitals, pathway implementation factors, and reach of pathways to children hospitalized with asthma. Quantitative data were analyzed using descriptive statistics and multivariable regression. Qualitative data were analyzed using thematic content analysis.ResultsEighty-five hospitals enrolled; 68 (80%) adopted/completed the collaborative. These 68 hospitals implemented pathways with overall high fidelity, implementing a median of 5 of 5 core pathway components (Interquartile Range [IQR] 4-5) in a median of 5 months (IQR 3-9). Implementation teams reported a median time cost of 78 h (IQR: 40-120) for implementation. Implementation leaders reported the values of pathway implementation included improvements in care, enhanced interdisciplinary collaboration, and access to educational resources. Leaders reported barriers in modifying electronic health records (EHRs), and only 63% of children had electronic pathway orders placed.ConclusionsHospitals implemented pathways with high fidelity. Barriers in modifying EHRs may have limited the reach of pathways to children hospitalized with asthma

On Resilient Behaviors in Computational Systems and Environments

The present article introduces a reference framework for discussing resilience of computational systems. Rather than a property that may or may not be exhibited by a system, resilience is interpreted here as the emerging result of a dynamic process. Said process represents the dynamic interplay between the behaviors exercised by a system and those of the environment it is set to operate in. As a result of this interpretation, coherent definitions of several aspects of resilience can be derived and proposed, including elasticity, change tolerance, and antifragility. Definitions are also provided for measures of the risk of unresilience as well as for the optimal match of a given resilient design with respect to the current environmental conditions. Finally, a resilience strategy based on our model is exemplified through a simple scenario.Comment: The final publication is available at Springer via http://dx.doi.org/10.1007/s40860-015-0002-6 The paper considerably extends the results of two conference papers that are available at http://ow.ly/KWfkj and http://ow.ly/KWfgO. Text and formalism in those papers has been used or adapted in the herewith submitted pape

Tunable far infrared studies of molecular parameters in support of stratospheric measurements

Lab studies were made in support of far infrared spectroscopy of the stratosphere using the Tunable Far InfraRed (TuFIR) method of ultrahigh resolution spectroscopy and, more recently, spectroscopic and retrieval calculations performed in support of satellite-based atmospheric measurement programs: the Global Ozone Monitoring Experiment (GOME), and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY)