Random division of an interval

The well-known relation between random division of an interval and the Poisson process is interpreted as a Laplace transformation. With the use of this interpretation a number of (in part known) results is derived very easily

Prevalence of sexual harassment among Norwegian female elite athletes in relation to sport type

Although it is often assumed that the prevalence of sexual harassment is different in different sports, this assumption has not been empirically tested. This study considers whether the experience of sexual harassment varies by sport. The female elite athletes (N = 553) in the study participated in 56 different sport disciplines. These were grouped as follows :1) team or individual sports; 2) extent to which clothing required for competition is revealing ; 3) gender structure (male-or female dominated membership statistics); and 4) gender culture (masculine, gender-neutral, or feminine). The data show that sexual harassment occurs in every sport group. Female elite athletes who participated in ‘masculine’ sports appear to experience more harassment than women in the other groups. We conclude that, when it comes to female athletes’ experiences of sexual harassment, sport type matters far less than sport participation per se

Exploring the impact of employee engagement and patient safety

BACKGROUND: Health service administrators are continually investigating new ways to improve the safety and quality of health services. A positive and powerful relationship between employee engagement and patient safety has been suggested in the research literature, and steps can be taken by employers to enhance engagement to improve the safety of health services, particularly considering the coronavirus disease 2019 (COVID-19) pandemic. OBJECTIVE: The aim of this review was to explore the current literature on the impact of employee engagement on patient safety. METHODS: A review of peer-reviewed literature relating to the impact of employee engagement on patient safety within health services between January 2015 and May 2021 was conducted using Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline Complete, Scopus, Health Business Elite and Business Source Ultimate databases. A search of grey literature using the Bielefeld Academic Search Engine database was also completed. RESULTS: Of relevant articles, 3693 were identified, of which 15 studies were included in this review. Ten articles measured employee engagement using existing, validated tools, whereas patient safety was most frequently assessed through surveys seeking staff member's perceptions of safety or the quality of care they provide. Overall, there appeared to be a positive correlation between employee engagement and patient safety, but the strength of the relationship varied. CONCLUSION: Anecdotal accounts of improving employee engagement and improving patient safety abound, and the evidence reviewed appears in agreement. However, research into the impact of employee engagement on patient safety is in its early stages. As health service managers consider the best use of funding to support safe and high-quality care, evidence to support the positive impact employee engagement has on patient safety may be useful in managing the fallout from the COVID-19 pandemic

Prevalence of childhood disability and the characteristics and circumstances of disabled children in the UK : secondary analysis of the Family Resources Survey

Background: Robust data on the prevalence of childhood disability and the circumstances and characteristics of disabled children is crucial to understanding the relationship between impairment and social disadvantage. It is also crucial for public policy development aimed at reducing the prevalence of childhood disability and providing appropriate and timely service provision. This paper reports prevalence rates for childhood disability in the United Kingdom (UK) and describes the social and household circumstances of disabled children, comparing these where appropriate to those of non-disabled children. Methods: Data were generated from secondary analysis of the Family Resources Survey, a national UK cross-sectional survey, (2004/5) which had data on 16,012 children aged 0-18 years. Children were defined as disabled if they met the Disability Discrimination Act (DDA) definition (1995 and 2005). Frequency distributions and cross-tabulations were run to establish prevalence estimates, and describe the circumstances of disabled children. To establish the association between individual social and material factors and childhood disability when other factors were controlled for, logistic regression models were fitted on the dependent variable 'DDA defined disability'. Results: 7.3% (CI 6.9, 7.7) of UK children were reported by as disabled according to the DDA definition. Patterns of disability differed between sexes with boys having a higher rate overall and more likely than girls to experience difficulties with physical coordination; memory, concentration and learning; communication. Disabled children lived in different personal situations from their non-disabled counterparts, and were more likely to live with low-income, deprivation, debt and poor housing. This was particularly the case for disabled children from black/minority ethnic/ mixed parentage groups and lone-parent households. Childhood disability was associated with lone parenthood and parental disability and these associations persisted when social disadvantage was controlled for. Conclusion: These analyses suggest that UK disabled children experience higher levels of poverty and personal and social disadvantage than other children. Further research is required to establish accurate prevalence estimates of childhood disability among different black and minority ethnic groups and to understand the associations between childhood disability and lone parenthood and the higher rates of sibling and parental disability in households with disabled children

A simple genetic algorithm for calibration of stochastic rock discontinuity networks

Este artículo propone un método para llevar a cabo la calibración de las familias de discontinuidades en macizos rocosos. We present a novel approach for calibration of stochastic discontinuity network parameters based on genetic algorithms (GAs). To validate the approach, examples of application of the method to cases with known parameters of the original Poisson discontinuity network are presented. Parameters of the model are encoded as chromosomes using a binary representation, and such chromosomes evolve as successive generations of a randomly generated initial population, subjected to GA operations of selection, crossover and mutation. Such back-calculated parameters are employed to make assessments about the inference capabilities of the model using different objective functions with different probabilities of crossover and mutation. Results show that the predictive capabilities of GAs significantly depend on the type of objective function considered; and they also show that the calibration capabilities of the genetic algorithm can be acceptable for practical engineering applications, since in most cases they can be expected to provide parameter estimates with relatively small errors for those parameters of the network (such as intensity and mean size of discontinuities) that have the strongest influence on many engineering applications

Is a previous unplanned pregnancy a risk factor for a subsequent unplanned pregnancy?

Objective: The objective of the study was to determine whether a history of unplanned pregnancy was a risk factor for a subsequent unplanned pregnancy. Study Design: We analyzed 542 women aged 14-35 years, enrolled in Project PROTECT, a randomized clinical trial to promote dual-method contraception use to prevent sexually transmitted diseases and unplanned pregnancy. Predictors of unplanned pregnancy were assessed by comparing women with and without a history of unplanned pregnancy. Results: More than 1 in 5 women (22.5%) experienced an unintended pregnancy. History of an unintended pregnancy was a predictor of unintended pregnancy (adjusted odds ratio, 1.91; 95% confidence interval, 1.09-3.34). Other factors that were significantly associated with unplanned pregnancy included young age and low educational status. Conclusions: Future efforts should focus on bridging the gap between identifying risk factors for unplanned pregnancy and interventions aimed at reducing the incidence in high-risk groups

Fifth-graders’ social interactions in a student-designed games unit

Student-designed games (SDG) are a student-centred approach that motivates students to work together while designing and playing their own games based on their ability level. The purpose of this study was to investigate students’ social interactions during 11 lessons of SDG focused on target games. Participants were 27 fifth-graders. Lessons were based on Hastie (2010) [Student-designed games. Champaign, IL: Human Kinetics]. Five-Step SDG implementation process. Field notes and post-intervention interviews transcriptions were analysed through a systematic process of inductive analysis. Two themes were generated based on field note observations and students’ focus interviews: (a) who is the leader and (b) leadership dispute. The results showed that within coeducational groups, girls took the leadership roles. It was found that during intra-group interactions, leaders who took a more democratic approach motivated students engagement, and promoted opportunities for compromising during decision-making process

FracPaQ: A MATLAB™ toolbox for the quantification of fracture patterns

The patterns of fractures in deformed rocks are rarely uniform or random. Fracture orientations, sizes, and spatial distributions often exhibit some kind of order. In detail, relationships may exist among the different fracture attributes, e.g. small fractures dominated by one orientation, larger fractures by another. These relationships are important because the mechanical (e.g. strength, anisotropy) and transport (e.g. fluids, heat) properties of rock depend on these fracture attributes and patterns. This paper describes FracPaQ, a new open source, cross-platform toolbox to quantify fracture patterns, including distributions in fracture attributes and their spatial variation. Software has been developed to quantify fracture patterns from 2-D digital images, such as thin section micrographs, geological maps, outcrop or aerial photographs or satellite images. The toolbox comprises a suite of MATLAB™ scripts based on previously published quantitative methods for the analysis of fracture attributes: orientations, lengths, intensity, density and connectivity.An estimate of permeability in 2-D is made using a parallel plate model. The software provides an objective and consistent methodology for quantifying fracture patterns and their variations in 2-D across a wide range of length scales, rock types and tectonic settings. The implemented methods presented are inherently scale independent, and a key task where applicable is analysing and integrating quantitative fracture pattern data from micro-to macro-scales. The toolbox was developed in MATLAB™ and the source code is publicly available on GitHub™ and the Mathworks™ FileExchange. The code runs on any computer with MATLAB installed, including PCs with Microsoft Windows, Apple Macs with Mac OS X, and machines running different flavours of Linux. The application, source code and sample input files are available in open repositories in the hope that other developers and researchers will optimise and extend the functionality for the benefit of the wider community