Assessing the Impact of Game Day Schedule and Opponents on Travel Patterns and Route Choice using Big Data Analytics

The transportation system is crucial for transferring people and goods from point A to point B. However, its reliability can be decreased by unanticipated congestion resulting from planned special events. For example, sporting events collect large crowds of people at specific venues on game days and disrupt normal traffic patterns. The goal of this study was to understand issues related to road traffic management during major sporting events by using widely available INRIX data to compare travel patterns and behaviors on game days against those on normal days. A comprehensive analysis was conducted on the impact of all Nebraska Cornhuskers football games over five years on traffic congestion on five major routes in Nebraska. We attempted to identify hotspots, the unusually high-risk zones in a spatiotemporal space containing traffic congestion that occur on almost all game days. For hotspot detection, we utilized a method called Multi-EigenSpot, which is able to detect multiple hotspots in a spatiotemporal space. With this algorithm, we were able to detect traffic hotspot clusters on the five chosen routes in Nebraska. After detecting the hotspots, we identified the factors affecting the sizes of hotspots and other parameters. The start time of the game and the Cornhuskers’ opponent for a given game are two important factors affecting the number of people coming to Lincoln, Nebraska, on game days. Finally, the Dynamic Bayesian Networks (DBN) approach was applied to forecast the start times and locations of hotspot clusters in 2018 with a weighted mean absolute percentage error (WMAPE) of 13.8%

Research on Visualization of Multi-Dimensional Real-Time Traffic Data Stream Based on Cloud Computing

AbstractBased on efficient continuous parallel query series algorithm supporting multi-objective optimization, by using visual graphics technology for traffic data streams for efficient real-time graphical visualization, it improve human-computer interaction, to realize real-time and visual data analysis and to improve efficiency and accuracy of the analysis. This paper employs data mining processing and statistical analysis on real-time traffic data stream, based on the parameters standards of various data mining algorithms, and by using computer graphics and image processing technology, converts graphics or images and make them displayed on the screen according to the system requirements, in order to track, forecast and maintain the operating condition of all traffic service systems effectively

Systematic review of studies of mental health nurses' experience of anger and of its relationships with their attitudes and practice

IntroductionEmotional regulation is important in mental health nursing practice but individual emotions may require different regulation strategies. There is ample evidence that nurses experience anger specifically during their work, for example when experiencing patient aggression. It is, therefore, important to consolidate what is known about how anger manifests in mental health nursing practice.AimWe aimed to systematically identify, evaluate, and synthesise results from studies about mental health nurses and anger, where anger was measured objectively.MethodsSystematic literature review based on PRISMA guidelines.Results.We identified 12 studies. A range of validated and non-validated instruments were used. Mental health nurses may have lower levels of anger than normative samples but anger is commonly reported as an issue for them. Anger was studied in relation to its links with i) clinical management of patients, notably violence containment; and ii) employment issues more generally, notably job motivation. Anger is related to nurses’ attitudes about the acceptability of coercion but there is no evidence that it results in more coercion.Implications for practiceNurses should be aware of the potential influence of anger on their practice. Anger, specifically, should be considered when supporting mental health nurses, for example in clinical supervision. Emotional regulation training should target anger

Redefining A in RGBA: Towards a Standard for Graphical 3D Printing

Advances in multimaterial 3D printing have the potential to reproduce various visual appearance attributes of an object in addition to its shape. Since many existing 3D file formats encode color and translucency by RGBA textures mapped to 3D shapes, RGBA information is particularly important for practical applications. In contrast to color (encoded by RGB), which is specified by the object's reflectance, selected viewing conditions and a standard observer, translucency (encoded by A) is neither linked to any measurable physical nor perceptual quantity. Thus, reproducing translucency encoded by A is open for interpretation. In this paper, we propose a rigorous definition for A suitable for use in graphical 3D printing, which is independent of the 3D printing hardware and software, and which links both optical material properties and perceptual uniformity for human observers. By deriving our definition from the absorption and scattering coefficients of virtual homogeneous reference materials with an isotropic phase function, we achieve two important properties. First, a simple adjustment of A is possible, which preserves the translucency appearance if an object is re-scaled for printing. Second, determining the value of A for a real (potentially non-homogeneous) material, can be achieved by minimizing a distance function between light transport measurements of this material and simulated measurements of the reference materials. Such measurements can be conducted by commercial spectrophotometers used in graphic arts. Finally, we conduct visual experiments employing the method of constant stimuli, and derive from them an embedding of A into a nearly perceptually uniform scale of translucency for the reference materials.Comment: 20 pages (incl. appendices), 20 figures. Version with higher quality images: https://cloud-ext.igd.fraunhofer.de/s/pAMH67XjstaNcrF (main article) and https://cloud-ext.igd.fraunhofer.de/s/4rR5bH3FMfNsS5q (appendix). Supplemental material including code: https://cloud-ext.igd.fraunhofer.de/s/9BrZaj5Uh5d0cOU/downloa

Innovative Public Service Delivery: How to assess the new relationship between public agencies and society?

One of the major challenges faced by the Public Administration is how to create more value for both citizens and firms, mainly because of the increasing budgetary constraints and challenging demands from society. In fact, over the past two decades there has been a general movement of public reform in most developed countries, and for this reason it is essential to understand how users assess public services’ quality. This paper aims at understanding the determinants of public services’ quality. Due to the nature of the research problem, we have adopted a case-study methodology. The research involved an extensive qualitative and quantitative data collection with managers, citizens and front and back-office public servants, by means of interviews, questionnaires and focus groups. The paper presents the case of Citizen Shops in Portugal, a recent and innovative channel of public services’ delivery, within a strong relationship perspective. Firstly, it explores the kind of relationships that are developed during the public service encounter between the citizen, the public organization and society. Secondly, both citizen’s satisfaction and dissatisfaction with public services are investigated. The basic premise is that these two concepts are not opposite but have different determinants instead. Furthermore, the paper also explores the existence of a zone of tolerance and emphasizes the importance of managing emotions in the public service encounter. Finally, it is discussed that public services’ quality assessment should also take into consideration the implications on the value to society.Public services; citizen shops; quality determinants; satisfaction; dissatisfaction

Assessing the Quality of Public Services: A Conceptual Model

One of the major challenges faced by Public Administration is how to create more value for both citizens and firms, mainly because of the increasing budgetary constraints and challenging demands from society. In fact, over the past two decades there has been a general movement of public reform in most developed countries, and for this reason it is essential to understand how users assess the quality of public services. The aim of this paper is to clarify the determinants of public service quality. Due to the nature of the research problem, we have adopted a case-study methodology. The research involved extensive qualitative and quantitative data collection with managers, citizens and front and back-office public servants by means of interviews, questionnaires and focus groups. The paper presents the case of Public Service Citizens’ Shops (Loja do Cidadão) in Portugal, a recent and innovative channel for the delivery of public services. Firstly, it explores the kind of relationships that develop during the public service encounter between the citizen, the public organization and society. Secondly, citizen satisfaction and dissatisfaction with public services are both investigated. The basic premise is that these two concepts are not opposite but have different determinants. Furthermore, the paper also explores the nature of tolerance and emphasizes the importance of managing emotions in the public service encounter. Finally, it also considers how the quality assessment of public services should also take into account implications regarding value to society.public services; quality determinants; satisfaction; dissatisfaction; zone of tolerance; emotions; citizens’ shops

A randomised controlled pilot study: the effectiveness of narrative exposure therapy with adult survivors of the Sichuan earthquake

Background: Post-Traumatic Stress Disorder (PTSD) is a common psychological reaction after large-scale natural disasters. Given the number of people involved and shortage of resources in any major disaster, brief, pragmatic and easily trainable interventions are needed. The aim of this study is to evaluate the efficacy of Narrative Exposure Therapy (NET) as a short-term treatment for PTSD using Chinese earthquake survivors. Methods: A randomized waiting-list control pilot study was conducted between December 2009 and March 2010, at the site of the Sichuan earthquake in Beichuan County, China. Adult participants with newly diagnosed Post Traumatic Stress Disorder (PTSD) were randomly allocated to Narrative Exposure Therapy (NET) or a Waiting-List (WL) condition. The latter received NET treatment after a two-week waiting period. To compare the effectiveness of NET in traumatised earthquake survivors, both groups were assessed on PTSD symptoms, general mental health, anxiety and depression, social support, coping style and posttraumatic change before and after treatment and two months post treatment. Results: Adult participants (n=22) were randomly allocated to receive NET (n=11) or WL (n=11). Twenty two participants (11 in NET group, 11 in WL) were included in the analysis of primary outcomes. Compared with WL, NET showed significant reductions in PTSD symptoms, anxiety and depression, general mental stress and increased posttraumatic growth. The WL group later showed similar improvements after treatment. These changes remained stable for a two-month follow-up. Measures of social support and coping showed no stable effects. Conclusions: NET is effective in treating post-earthquake traumatic symptoms in adult Chinese earthquake survivors. The findings help advance current knowledge in the management of PTSD after natural disasters and inform future research. Larger sample sizes are needed to extend the present findings