Development of safety performance functions for SafetyAnalyst applications in Florida

In 2010, the American Association of State Highway and Transportation Officials (AASHTO) released a safety analysis software system known as SafetyAnalyst. SafetyAnalyst implements the empirical Bayes (EB) method, which requires the use of Safety Performance Functions (SPFs). The system is equipped with a set of national default SPFs, and the software calibrates the default SPFs to represent the agency's safety performance. However, it is recommended that agencies generate agency-specific SPFs whenever possible. Many investigators support the view that the agency-specific SPFs represent the agency data better than the national default SPFs calibrated to agency data. Furthermore, it is believed that the crash trends in Florida are different from the states whose data were used to develop the national default SPFs. In this dissertation, Florida-specific SPFs were developed using the 2008 Roadway Characteristics Inventory (RCI) data and crash and traffic data from 2007-2010 for both total and fatal and injury (FI) crashes. The data were randomly divided into two sets, one for calibration (70% of the data) and another for validation (30% of the data). The negative binomial (NB) model was used to develop the Florida-specific SPFs for each of the subtypes of roadway segments, intersections and ramps, using the calibration data. Statistical goodness-of-fit tests were performed on the calibrated models, which were then validated using the validation data set. The results were compared in order to assess the transferability of the Florida-specific SPF models. The default SafetyAnalyst SPFs were calibrated to Florida data by adjusting the national default SPFs with local calibration factors. The performance of the Florida-specific SPFs and SafetyAnalyst default SPFs calibrated to Florida data were then compared using a number of methods, including visual plots and statistical goodness-of-fit tests. The plots of SPFs against the observed crash data were used to compare the prediction performance of the two models. Three goodness-of-fit tests, represented by the mean absolute deviance (MAD), the mean square prediction error (MSPE), and Freeman-Tukey R2 (R2FT), were also used for comparison in order to identify the better-fitting model. The results showed that Florida-specific SPFs yielded better prediction performance than the national default SPFs calibrated to Florida data. The performance of Florida-specific SPFs was further compared with that of the full SPFs, which include both traffic and geometric variables, in two major applications of SPFs, i.e., crash prediction and identification of high crash locations. The results showed that both SPF models yielded very similar performance in both applications. These empirical results support the use of the flow-only SPF models adopted in SafetyAnalyst, which require much less effort to develop compared to full SPFs.

In Favor of Hospitality-Management Education

Despite the almost one-hundred-year history of hospitality-management education; the hundreds of well-established two-year, four-year, and graduate programs worldwide; and the hundreds of thousands of graduates those programs have prepared for careers in the industry, hospitality-management education’s merit and place in higher education are still questioned at times, to the dismay of hospitality educators the world over. This article delineates several features of hospitality management that make these programs valuable and unique and provides compelling arguments in its favor. The arguments include: 1) courses tailored to the hospitality industry, the world’s largest industry; 2) focus on small-business management as well as corporate enterprises; 3) emphasis on services and service management, not manufacturing; 4) programs and coursework focused on people management, which it at the core of the hospitality businesses; 5) unique focus on the specific issues of food and beverage management, the largest component of the hospitality industry; and 6) transferability of graduates’ knowledge and skill sets, which are in high demand among other service industries. While business programs focus on the fundamentals of management and production, hospitality- management programs prepare graduates who are aware of general management principles and are particularly well-versed in managing the guest experience and employees in a service environment.

Diversity of Vancomycin Genes in Sub-tropical Soils

With the increased antibiotic exposure from anthropogenic sources, soil microbes are an ever-increasing ecological pool of resistant bacteria. This is the case with bacterial resistance to vancomycin through transfer of van-resistance genes by transposons. Studies show that bacterial species other than enteroccoci harbor genetic-like elements such as the Tn1546 transposon containing vancomycin-resistant genes. Overuse and misuse of antibiotics in hospital settings and agricultural practices have led to an increase in transferability of vancomycin-resistant genes among microbes. The objective of this project is to analyze the diversity of these genes found in the soil microbes from Miami-Dade County. Bacterial isolates were Gram-stained and the Kirby-Bauer antibiotic disk diffusion test was performed to determine the degree of resistance. Results showed that all bacterial isolates were resistant to penicillin at the 10 µg concentration and most were susceptible to varying vancomycin concentrations (10 µg, 20 µg, and 30 µg). A 1465 bp fragment was amplified from the 16S rDNA gene using 27F and 1492R universal primers from the multi-antibiotic resistant bacteria and sequenced to identify the isolates. Three Gram-negative bacteria genera were identified with the closest phylogenetic match to: Pseudomonas sp., Stenotrophomonas sp., Xanthomonas sp., as well as two Gram-positive bacteria genera: Bacillus sp. and Brevibacillus sp. The isolates’ vanA and vanB genes were amplified using the respective primers. Ongoing work is underway to sequence and compare these known van resistant genes, with the goal of revealing intrinsic vancomycin resistance present in soil bacteria.

Active Energy: Three Mills - open workshop

On 14th May, as part of National Mills Weekend, an open workshop was held outside the 18th century House Mill in Bromley by Bow, the world's largest tidal mill. Members of the Geezers Club in Bow worked in the open air with an engineer to construct the stream wheel, which is being developed in ‘flat pack’ format to maximize transferability. The wheel will be installed in the River Lea later this year.

Simulation of Oil Shale Semi-Coke Particle Cold Transportation in a Spouted Bed Using CPFD Method

The spouted bed was widely used due to its good mixing of particles and effective phase transferability between the gas and solid phase. In this paper, the transportation process of particles in a 3D spouted bed was studied using the Computational Particle Fluid Dynamics (CPFD) numerical method. Experiments were conducted to verify the validity of the simulation results. Distributions of the pressure, velocities and particle concentration of transportation devices were investigated. The motion state and characteristics of multiphase flows in the transportation device were demonstrated under various operating conditions. The results showed that a good consistency was obtained between the simulated results and the experimental results. The motion characteristics of the gas-solid two-phase flow in the device was effectively predicted, which could assist the optimal operating condition estimation for the spouted transportation process.

Learning from one another: evaluating the impact of horizontal knowledge exchange for environmental management and governance

There is increasing advocacy for inclusive community-based approaches to environmental management, and growing evidence that involving communities improves the sustainability of social-ecological systems. Most community-based approaches rely on partnerships and knowledge exchange between communities, civil society organizations, and professionals such as practitioners and/or scientists. However, few models have actively integrated more horizontal knowledge exchange from community to community. We reflect on the transferability of community owned solutions between indigenous communities by exploring challenges and achievements of community peer-to-peer knowledge exchange as a way of empowering communities to face up to local environmental and social challenges. Using participatory visual methods, indigenous communities of the North Rupununi (Guyana) identified and documented their community owned solutions through films and photostories. Indigenous researchers from this community then shared their solutions with six other communities that faced similar challenges within Guyana, Suriname, Venezuela, Colombia, French Guiana, and Brazil. They were supported by in-country civil society organizations and academics. We analyzed the impact of the knowledge exchange through interviews, field reports, and observations. Our results show that indigenous community members were significantly more receptive to solutions emerging from, and communicated by, other indigenous peoples, and that this approach was a significant motivating force for galvanizing communities to make changes in their community. We identified a range of enabling factors, such as building capacity for a shared conceptual and technical understanding, that strengthens the exchange between communities and contributes to a lasting impact. With national and international policy-makers mobilizing significant financial resources for biodiversity conservation and climate change mitigation, we argue that the promotion of community owned solutions through community peer-to-peer exchange may deliver more long-lasting, socially and ecologically integrated, and investment-effective strategies compared to top-down, expert led, and/or foreign-led initiatives.

A guideline to improve qualitative social science publishing in ecology and conservation journals

A rise in qualitative social science manuscripts published in ecology and conservation journals speaks to the growing awareness of the importance of the human dimension in maintaining and improving Earth’s ecosystems. Given the rise in the quantity of qualitative social science research published in ecology and conservation journals, it is worthwhile quantifying the extent to which this research is meeting established criteria for research design, conduct, and interpretation. Through a comprehensive review of this literature, we aimed to gather and assess data on the nature and extent of information presented on research design published qualitative research articles, which could be used to judge research quality. Our review was based on 146 studies from across nine ecology and conservation journals. We reviewed and summarized elements of quality that could be used by reviewers and readers to evaluate qualitative research (dependability, credibility, confirmability, and transferability); assessed the prevalence of these elements in research published in ecology and conservation journals; and explored the implications of sound qualitative research reporting for applying research findings. We found that dependability and credibility were reasonably well reported, albeit poorly evolved in relation to critical aspects of qualitative social science such as methodology and triangulation, including reflexivity. Confirmability was, on average, inadequately accounted for, particularly with respect to researchers’ ontology, epistemology, or philosophical perspective and their choice of methodology. Transferability was often poorly developed in terms of triangulation methods and the suitability of the sample for answering the research question/s. Based on these findings, we provide a guideline that may be used to evaluate qualitative research presented in ecology and conservation journals to help secure the role of qualitative research and its application to decision making.

Herança genética e marcadores moleculares associados à resistência de Euphorbia heterophylla L. aos herbicidas inibidores da ALS e PROTOX

This study aimed to assess the genetic inheritance, determine the better DNA isolation protocol for this species and to identify molecular markers associated with the Wild Poinsettia (Euphorbia heterophylla L.) resistance ALS- and PROTOX- inhibiting herbicides and. The genetic inheritance of resistance was determined from crosses between E. heterophylla biotypes susceptible (S) and resistant (R), backcrosses and F2 generation. The complete dominance of resistance was confirmed with dose response curves. Ten adjusted methods for DNA isolation described in the literature were tested. The specific primers for ALS and PROTOX genes were designed from the consensus DNA sequence of these genes, obtained by aligning the gene sequences of the species Manihot esculenta and Ricinus communis L. Additionally, it was assessed the transferability of twenty SSR (simple sequence repeat) markers designed for Manihot esculenta, because among the species of Euphorbiaceae with more developed SSRs markers, because it is the closest relative phylogenetic species of E. heterophylla. Regarding genetic inheritance, the frequencies observed in the F1, F2, RCs and RCr did not differ significantly from the expected frequencies for a trait controlled by two dominant genes for multiple resistance and a single dominant gene for simple resistance to ALS- and PROTOX-inhibiting herbicides. The similar levels of resistance to dosage up to 2000 g i.a. ha-1 of fomesafen and dosage up to 800 g i.a. ha-1 of imazethapyr observed in F1 (heterozygous) and homozygous R biotype confirm the complete dominance of resistance to PROTOX- and ALS-inhibiting herbicides, respectively. The 0.2%BME protocol allowed the isolation of 7,083 ng μL-1 DNA, significantly (P=0.05) higher than other methods. Co-isolation of phenolic compounds was observed in FENOL and 3%BME+TB methods, but the addition of polyvinylpyrrolidone (PVP40) in the protocol extraction buffer 3%BME+TA solved this problem. The primers designed for ALS and PROTOX genes amplified but not showed no visible polymorphism in agarose gel between the S and R biotypes of E. heterophylla. Regarding the SSR transferability, ten markers were transferred to E. heterophylla, however, these six primers showed polymorphism among S and R biotypes.

Promoting Investment and Increasing Employment among the Economically Inactive - A Review of Best Practice.

Final report to the Department of Enterprise, Trade and Investment, Northern Ireland. This report sets out the findings from a study into strategies that link the promotion of investment and the employment of economically inactive groups. The aim is to ascertain current practice in 10 relevant countries (Australia; Belgium; Denmark; Finland; Germany; the Netherlands; New Zealand; Slovenia; Spain; USA plus Great Britain) and their transferability to the Northern Ireland (NI) policy and labour market context. The study was carried out by the Employment Research Institute at Edinburgh Napier University on behalf of the Department of Trade, Enterprise and Investment in NI (DETI). The study describes cases of good practice in securing investment in areas, sectors and occupations that provide accessible entry-level positions for economically inactive groups. It seeks to identify the ‘critical success factors’ common to effective strategies, drawing out lessons for future Northern Ireland policy. In this study ‘Investment’ includes foreign direct investment (FDI) and private investment that expands the ‘export’ capacity of the NI economy (i.e. excluding investment aimed at the NI market). ‘Economically inactive’ people are those excluded or seriously at risk of exclusion from the labour market.

STATISTICAL METHODS FOR ADVANCED ECONOMETRIC MODELS WITH APPLICATIONS TO VEHICLE HOLDING AND SPEED QUANTILES DISTRIBUTION

This dissertation proposes statistical methods to formulate, estimate and apply complex transportation models. Two main problems are part of the analyses conducted and presented in this dissertation. The first method solves an econometric problem and is concerned with the joint estimation of models that contain both discrete and continuous decision variables. The use of ordered models along with a regression is proposed and their effectiveness is evaluated with respect to unordered models. Procedure to calculate and optimize the log-likelihood functions of both discrete-continuous approaches are derived, and difficulties associated with the estimation of unordered models explained. Numerical approximation methods based on the Genz algortithm are implemented in order to solve the multidimensional integral associated with the unordered modeling structure. The problems deriving from the lack of smoothness of the probit model around the maximum of the log-likelihood function, which makes the optimization and the calculation of standard deviations very difficult, are carefully analyzed. A methodology to perform out-of-sample validation in the context of a joint model is proposed. Comprehensive numerical experiments have been conducted on both simulated and real data. In particular, the discrete-continuous models are estimated and applied to vehicle ownership and use models on data extracted from the 2009 National Household Travel Survey. The second part of this work offers a comprehensive statistical analysis of free-flow speed distribution; the method is applied to data collected on a sample of roads in Italy. A linear mixed model that includes speed quantiles in its predictors is estimated. Results show that there is no road effect in the analysis of free-flow speeds, which is particularly important for model transferability. A very general framework to predict random effects with few observations and incomplete access to model covariates is formulated and applied to predict the distribution of free-flow speed quantiles. The speed distribution of most road sections is successfully predicted; jack-knife estimates are calculated and used to explain why some sections are poorly predicted. Eventually, this work contributes to the literature in transportation modeling by proposing econometric model formulations for discrete-continuous variables, more efficient methods for the calculation of multivariate normal probabilities, and random effects models for free-flow speed estimation that takes into account the survey design. All methods are rigorously validated on both real and simulated data.

An idiotypic immune network as a short-term learning architecture for mobile robots

A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments. The LTL consists of rapid simulations that use a Genetic Algorithm to derive diverse sets of behaviours. These sets are then transferred to an idiotypic Artificial Immune System (AIS), which forms the STL phase, and the system is said to be seeded. The combined LTL-STL approach is compared with using STL only, and with using a handdesigned controller. In addition, the STL phase is tested when the idiotypic mechanism is turned off. The results provide substantial evidence that the best option is the seeded idiotypic system, i.e. the architecture that merges LTL with an idiotypic AIS for the STL. They also show that structurally different environments can be used for the two phases without compromising transferability.

High Precision Plasma Etch for Pattern Transfer: Towards Fluorocarbon Based Atomic Layer Etching

A basic requirement of a plasma etching process is fidelity of the patterned organic materials. In photolithography, a He plasma pretreatment (PPT) based on high ultraviolet and vacuum ultraviolet (UV/VUV) exposure was shown to be successful for roughness reduction of 193nm photoresist (PR). Typical multilayer masks consist of many other organic masking materials in addition to 193nm PR. These materials vary significantly in UV/VUV sensitivity and show, therefore, a different response to the He PPT. A delamination of the nanometer-thin, ion-induced dense amorphous carbon (DAC) layer was observed. Extensive He PPT exposure produces volatile species through UV/VUV induced scissioning. These species are trapped underneath the DAC layer in a subsequent plasma etch (PE), causing a loss of adhesion. Next to stabilizing organic materials, the major goals of this work included to establish and evaluate a cyclic fluorocarbon (FC) based approach for atomic layer etching (ALE) of SiO2 and Si; to characterize the mechanisms involved; and to evaluate the impact of processing parameters. Periodic, short precursor injections allow precise deposition of thin FC films. These films limit the amount of available chemical etchant during subsequent low energy, plasma-based Ar+ ion bombardment, resulting in strongly time-dependent etch rates. In situ ellipsometry showcased the self-limited etching. X-ray photoelectron spectroscopy (XPS) confirms FC film deposition and mixing with the substrate. The cyclic ALE approach is also able to precisely etch Si substrates. A reduced time-dependent etching is seen for Si, likely based on a lower physical sputtering energy threshold. A fluorinated, oxidized surface layer is present during ALE of Si and greatly influences the etch behavior. A reaction of the precursor with the fluorinated substrate upon precursor injection was observed and characterized. The cyclic ALE approach is transferred to a manufacturing scale reactor at IBM Research. Ensuring the transferability to industrial device patterning is crucial for the application of ALE. In addition to device patterning, the cyclic ALE process is employed for oxide removal from Si and SiGe surfaces with the goal of minimal substrate damage and surface residues. The ALE process developed for SiO2 and Si etching did not remove native oxide at the level required. Optimizing the process enabled strong O removal from the surface. Subsequent 90% H2/Ar plasma allow for removal of C and F residues.

How relevant is the origin of human capital for immigrant wages? Evidence from Spain

The objective of this article is to analyse the role played by the different components of human capital in the wage determination of immigrants in the Spanish labour market. Using microdata from the Encuesta Nacional de Inmigrantes, we find that human capital of immigrants acquired in Spain presents higher returns than human capital obtained in home countries, reflecting the limited international transferability of the latter. This result is reinforced by the strong heterogeneity observed in wage returns to different kinds of human capital across immigrants from different origins and, in particular, by the fact that immigrants with the higher returns to human capital acquired in their home countries are those coming from other developed countries and Latin America, the two regions more similar to Spain in terms of development and/or culture.

Can the direct medical cost of chronic disease be transferred across different countries? Using cost-of-illness studies on type 2 diabetes, epilepsy and schizophrenia as examples

OBJECTIVES: To systematically review cost of illness studies for schizophrenia (SC), epilepsy (EP) and type 2 diabetes mellitus (T2DM) and explore the transferability of direct medical cost across countries.

METHODS: A comprehensive literature search was performed to yield studies that estimated direct medical costs. A generalized linear model (GLM) with gamma distribution and log link was utilized to explore the variation in costs that accounted by the included factors. Both parametric (Random-effects model) and non-parametric (Boot-strapping) meta-analyses were performed to pool the converted raw cost data (expressed as percentage of GDP/capita of the country where the study was conducted).

RESULTS: In total, 93 articles were included (40 studies were for T2DM, 34 studies for EP and 19 studies for SC). Significant variances were detected inter- and intra-disease classes for the direct medical costs. Multivariate analysis identified that GDP/capita (p<0.05) was a significant factor contributing to the large variance in the cost results. Bootstrapping meta-analysis generated more conservative estimations with slightly wider 95% confidence intervals (CI) than the parametric meta-analysis, yielding a mean (95%CI) of 16.43% (11.32, 21.54) for T2DM, 36.17% (22.34, 50.00) for SC and 10.49% (7.86, 13.41) for EP.

CONCLUSIONS: Converting the raw cost data into percentage of GDP/capita of individual country was demonstrated to be a feasible approach to transfer the direct medical cost across countries. The approach from our study to obtain an estimated direct cost value along with the size of specific disease population from each jurisdiction could be used for a quick check on the economic burden of particular disease for countries without such data.

Exploration of a reflective practice rubric

Work integrated learning (WIL) educators using reflective practice to facilitate student learning require a set ofstandards that works within the traditional assessment frame of Higher Education, to ascertain the level at which reflective practice has been demonstrated. However, there is a paucity of tested assessment instruments that provide guidance for measuring student demonstrations of reflective learning in WIL. This paper provides a preliminary exploration (pilot) of the reliability and validity of a WIL placement rubric for grading reflective practice across an alternate WIL placement-like context, for the purpose of testing the potential transferability of the rubric. The study supports earlier research that suggests that inter-assessor shared understanding of standards are crucial for achieving reliable and valid results. The rubric’s value is in providing a foundation set of standards that can support WIL educators to expedite discussions for developing and using assessment tools grounded in reflective practice theory for grading student achievement across a range of WIL placement-like learning contexts.