Range of Motion of the Upper Extremity in a Healthy Pediatric Population: Introduction to Normative Data.

Objective In the pediatric population traumatic injuries of the upper extremity are common. After therapy a decision has to be made if the mobility of the joint lies within a normal range. The purpose of this study was to give an introduction to normative data. We investigate if there is a significant difference in the range of motion (ROM) between male and female probands and furthermore, if an effect of the age can be detected. Methods We performed an institutional review board-approved study of healthy girls and boys aged between 2 and 16 years without any medical history of an upper extremity fracture. We investigated the active ROM of the elbow, wrist, metacarpophalangeal, and interphalangeal joints. Furthermore, age, handedness, weight, and height were recorded. A total of 171 adolescents with a mean age of 10.6 years were included and separated into four cohorts by age: 2 to 5, 6 to 10, 11 to 13, and 14 to 16 years. Results We found significant differences between the genders in the age group from 11 to 13 years for the flexion of the elbow, the pronation, the flexion of the interphalangeal joint of the thumb, as well as the flexion of the metacarpophalangeal joints of digitus II to V. Furthermore, a significant difference in the same joints except from the elbow flexion could be demonstrated between the genders. Conclusion Our study contributes normative data for upper extremity ROM in the pediatric population and presents a gender-related difference in certain joints. Clinical Relevance Normative data for the ROM of upper extremity joints in children is helpful for the evaluation of pediatric orthopedic patients and provides the framework for therapeutic resolution. Since a great number of traumatic injuries in children affect the upper extremity, this information may help the physician to estimate the impact of the injury and decide on the therapeutic management.

Yorkshire. An historical and topographical introduction to a knowledge of the ancient state of the wapentake of Strafford and Tickhill; with ample accounts of Doncaster and Conisbrough; and of the villages, hamlets, churches, antiquities, and other matters connected therewith.

Designed as an introduction to a more extended work.

Introduction to fractional linear systems. Part 1 : continuous-time case

IEE Proceedings - Vision, Image, and Signal Processing, Vol. 147, nº 1

Introduction to new staff Francince O'Malley, Isobel Anton-Solanas , Julie Cullen

An introduction to new members of academic staff working in the Faculty of Health Sciences

Sustaining Success Task: Week 3 Introduction to reflection

An introduction to a method of reflection. This task looks at the process of writing a short piece of reflection and provides a framework for that activity

Managing organizations for sustainable development in emerging countries: an introduction

This introduction article is for the special issue Managing organizations for sustainable development in emerging countries: natural resources, biodiversity, and climate change' in the International Journal of Sustainable Development & World Ecology and presents an introduction to the topics and summarizes accepted contributions in the special issue. The accepted works may contribute with organizational management in the search for more sustainable organizations. The works focus on the challenges of managing organizations in a context of degradation of natural resources, loss of biodiversity, and climate change. Accepted papers discuss these issues, based on the reality of emerging economies (e.g. Brazil, India, and China).

European Community Communications Law : An Introduction

The present article is an abridged version of a chapter to the book EC Electronic Communications and Competition Law (London: Cameron May, 2007). It provides an introduction to the rules at the European Community level governing the electronic communications sector (previously and more traditionally referred to as telecommunications). Such an introduction encompasses essentially an enquiry into the relevant competition law rules, of which here particular attention is paid to abuse of dominant position and the essential facilities doctrine, as well as an analysis of the EC sector specific regulatory framework, which has substantially evolved since the liberalisation of the telecommunications sector back in the beginning of the 1990s. It is the objective of the article to explore to what extent both regulatory tools could deal with the specificities of communications markets, and where they may fail to do so.

Pedagogical field experiences in teacher education: Introduction to the research area

Research on pre-service teacher internships has become a dynamic area of investigation in teacher education whose growth seems to correspond with increased activity at the institutional level over the past two decades. Introducing or expanding field experiences has been a common strategy in nearly all teacher education programs for the last twenty years, and reforming teacher education with a focus on its practical aspects still ranks near the top of education policy agendas. This article provides an introduction to the research field, addressing five basic issues: (1) precision in the definition of the construct, (2) main sources of research literature, (3) elaboration of the construct in terms of effects and mediating variables, (4) the methodological challenges of empirical research, and (5) major areas of future research. Emphasis is placed on the often ignored aspect that internships elicit both intended and unintended effects, including not only positive but also adverse side effects.

Introduction to E-Science

An introduction to computationally-enabled science, challenges, and opportunities.

Efficient algorithms for dynamic probabilistic safety assessment. An application to convex damage domain.

The design of nuclear power plant has to follow a number of regulations aimed at limiting the risks inherent in this type of installation. The goal is to prevent and to limit the consequences of any possible incident that might threaten the public or the environment. To verify that the safety requirements are met a safety assessment process is followed. Safety analysis is as key component of a safety assessment, which incorporates both probabilistic and deterministic approaches. The deterministic approach attempts to ensure that the various situations, and in particular accidents, that are considered to be plausible, have been taken into account, and that the monitoring systems and engineered safety and safeguard systems will be capable of ensuring the safety goals. On the other hand, probabilistic safety analysis tries to demonstrate that the safety requirements are met for potential accidents both within and beyond the design basis, thus identifying vulnerabilities not necessarily accessible through deterministic safety analysis alone. Probabilistic safety assessment (PSA) methodology is widely used in the nuclear industry and is especially effective in comprehensive assessment of the measures needed to prevent accidents with small probability but severe consequences. Still, the trend towards a risk informed regulation (RIR) demanded a more extended use of risk assessment techniques with a significant need to further extend PSA’s scope and quality. Here is where the theory of stimulated dynamics (TSD) intervenes, as it is the mathematical foundation of the integrated safety assessment (ISA) methodology developed by the CSN(Consejo de Seguridad Nuclear) branch of Modelling and Simulation (MOSI). Such methodology attempts to extend classical PSA including accident dynamic analysis, an assessment of the damage associated to the transients and a computation of the damage frequency. The application of this ISA methodology requires a computational framework called SCAIS (Simulation Code System for Integrated Safety Assessment). SCAIS provides accident dynamic analysis support through simulation of nuclear accident sequences and operating procedures. Furthermore, it includes probabilistic quantification of fault trees and sequences; and integration and statistic treatment of risk metrics. SCAIS comprehensively implies an intensive use of code coupling techniques to join typical thermal hydraulic analysis, severe accident and probability calculation codes. The integration of accident simulation in the risk assessment process and thus requiring the use of complex nuclear plant models is what makes it so powerful, yet at the cost of an enormous increase in complexity. As the complexity of the process is primarily focused on such accident simulation codes, the question of whether it is possible to reduce the number of required simulation arises, which will be the focus of the present work. This document presents the work done on the investigation of more efficient techniques applied to the process of risk assessment inside the mentioned ISA methodology. Therefore such techniques will have the primary goal of decreasing the number of simulation needed for an adequate estimation of the damage probability. As the methodology and tools are relatively recent, there is not much work done inside this line of investigation, making it a quite difficult but necessary task, and because of time limitations the scope of the work had to be reduced. Therefore, some assumptions were made to work in simplified scenarios best suited for an initial approximation to the problem. The following section tries to explain in detail the process followed to design and test the developed techniques. Then, the next section introduces the general concepts and formulae of the TSD theory which are at the core of the risk assessment process. Afterwards a description of the simulation framework requirements and design is given. Followed by an introduction to the developed techniques, giving full detail of its mathematical background and its procedures. Later, the test case used is described and result from the application of the techniques is shown. Finally the conclusions are presented and future lines of work are exposed.

The evolution of rural outreach from Package Library to Grateful Med: introduction to the symposium

Outreach is now a prevailing activity in health sciences libraries. As an introduction to a series of papers on current library outreach to rural communities, this paper traces the evolution of such activities by proponents in health sciences libraries from 1924 to 1992. Definitions of rural and outreach are followed by a consideration of the expanding audience groups. The evolution in approaches covers the package library and enhancements in extension service, library development, circuit librarianship, and self-service arrangements made possible by such programs as the Georgia Interactive Network (GaIN) and Grateful Med.

Introduction to contemporary civilization; a syllabus.

Seventh- ed., published by Columbia University Press, have title: An introduction to contemporary civilization in the West, a syllabus.

Global entrepreneurship and institutions:an introduction

This article is an introduction to the special issue from the 4th Global Entrepreneurship Monitor Research Conference held at Imperial College Business School, London, in 2010. The article has two objectives. The first is to summarize the history of the GEM consortium, some of the contributions that it has delivered, and some challenges and opportunities ahead. The second is to present a summary of the papers in the context of the utility of GEM data in comparative entrepreneurship research. © 2013 Springer Science+Business Media New York.

Introduction to Multi-Agent Simulation

When designing systems that are complex, dynamic and stochastic in nature, simulation is generally recognised as one of the best design support technologies, and a valuable aid in the strategic and tactical decision making process. A simulation model consists of a set of rules that define how a system changes over time, given its current state. Unlike analytical models, a simulation model is not solved but is run and the changes of system states can be observed at any point in time. This provides an insight into system dynamics rather than just predicting the output of a system based on specific inputs. Simulation is not a decision making tool but a decision support tool, allowing better informed decisions to be made. Due to the complexity of the real world, a simulation model can only be an approximation of the target system. The essence of the art of simulation modelling is abstraction and simplification. Only those characteristics that are important for the study and analysis of the target system should be included in the simulation model. The purpose of simulation is either to better understand the operation of a target system, or to make predictions about a target system’s performance. It can be viewed as an artificial white-room which allows one to gain insight but also to test new theories and practices without disrupting the daily routine of the focal organisation. What you can expect to gain from a simulation study is very well summarised by FIRMA (2000). His idea is that if the theory that has been framed about the target system holds, and if this theory has been adequately translated into a computer model this would allow you to answer some of the following questions: · Which kind of behaviour can be expected under arbitrarily given parameter combinations and initial conditions? · Which kind of behaviour will a given target system display in the future? · Which state will the target system reach in the future? The required accuracy of the simulation model very much depends on the type of question one is trying to answer. In order to be able to respond to the first question the simulation model needs to be an explanatory model. This requires less data accuracy. In comparison, the simulation model required to answer the latter two questions has to be predictive in nature and therefore needs highly accurate input data to achieve credible outputs. These predictions involve showing trends, rather than giving precise and absolute predictions of the target system performance. The numerical results of a simulation experiment on their own are most often not very useful and need to be rigorously analysed with statistical methods. These results then need to be considered in the context of the real system and interpreted in a qualitative way to make meaningful recommendations or compile best practice guidelines. One needs a good working knowledge about the behaviour of the real system to be able to fully exploit the understanding gained from simulation experiments. The goal of this chapter is to brace the newcomer to the topic of what we think is a valuable asset to the toolset of analysts and decision makers. We will give you a summary of information we have gathered from the literature and of the experiences that we have made first hand during the last five years, whilst obtaining a better understanding of this exciting technology. We hope that this will help you to avoid some pitfalls that we have unwittingly encountered. Section 2 is an introduction to the different types of simulation used in Operational Research and Management Science with a clear focus on agent-based simulation. In Section 3 we outline the theoretical background of multi-agent systems and their elements to prepare you for Section 4 where we discuss how to develop a multi-agent simulation model. Section 5 outlines a simple example of a multi-agent system. Section 6 provides a collection of resources for further studies and finally in Section 7 we will conclude the chapter with a short summary.

Introduction to EdShare

Presentation slides used in my online webinar session at ALTC 2016 Online Winter Conference. Providing an introduction to EdShare, the open source OER sharing platform from the University of Southampton. Discussion around its core features as well as the future development roadmap. Link to webinar recording will be added shortly.