Computer program for calculation of oxygen uptake

A description and operational precedures are presented for a computer program, written in Super Basic, that calculates oxygen uptake, carbon dioxide production, and related ventilation parameters. Program features include: (1) the option of entering slope and intercept values of calibration curves for the O2 and CO2 and analyzers; (2) calculation of expired water vapor pressure; and (3) the option of entering inspured O2 and CO2 concentrations. The program is easily adaptable for programmable laboratory calculators

How To Pick The Best Regression Equation: A Review And Comparison Of Model Selection Algorithms

This paper reviews and compares twenty-one different model selection algorithms (MSAs) representing a diversity of approaches, including (i) information criteria such as AIC and SIC; (ii) selection of a “portfolio” or best subset of models; (iii) general-to-specific algorithms, (iv) forward-stepwise regression approaches; (v) Bayesian Model Averaging; and (vi) inclusion of all variables. We use coefficient unconditional mean-squared error (UMSE) as the basis for our measure of MSA performance. Our main goal is to identify the factors that determine MSA performance. Towards this end, we conduct Monte Carlo experiments across a variety of data environments. Our experiments show that MSAs differ substantially with respect to their performance on relevant and irrelevant variables. We relate this to their associated penalty functions, and a bias-variance tradeoff in coefficient estimates. It follows that no MSA will dominate under all conditions. However, when we restrict our analysis to conditions where automatic variable selection is likely to be of greatest value, we find that two general-to-specific MSAs, Autometrics, do as well or better than all others in over 90% of the experiments.Model selection algorithms; Information Criteria; General-to-Specific modeling; Bayesian Model Averaging; Portfolio Models; AIC; SIC; AICc; SICc; Monte Carlo Analysis; Autometrics

Telecommunications Technologies Used by Employees who are Deaf

Employees who have a hearing loss can use much of the same technology for telephone communication that is available for other employees in the workplace, eg., computers, electronic mail, fax, pagers, and cellular phones. Combining special deafness- related devices, strategies or services with these new technologies may allow employees who are deaf or severely hard of hearing to demonstrate their efficiency and productivity. The various telecommunication technology used by eight employees are described. Appendixes provide a listing of telecommunication equipment, strategies, and services useful for employees with a hearing loss, and educational resources used to hearing co-workers

Castle’s competition model for building confidence and competence in action

Introduction: Previously, Castle (2017) proposed a model of effective learning in competition that encouraged teachers to plan more effectively to introduce competition as a pedagogical tool within their lessons. Far too often competition is seen as an end product, something to do at the end of the learning process to promote what has been accomplished. Yet Castle’s model for effective learning in competition promotes how competition could be used as part of the teaching and learning process. One of the four main aims of the National Curriculum in England (DfE, 2013) focuses on competition being key - ‘taking part in competitive sports’, highlighting the importance of this research. In 2017-2018, the researchers are extending Castle’s competition theoretical model to investigate the application of the model to current teaching practice, within two, two-form entry primary (elementary) school so to investigate if the model can be used as a tool to build confidence and competence of children learning physical through competition.. Both schools have achieved School Games Gold awards and are considered by Ofsted as outstanding in their provision of Physical Education and School Sport. Methods: This paper will report on the comparison between the two schools and the application of the Castle competition model to physical activity challenges designed around fundamental movement skills. It will consider how competition can foster improvement in performance, what types of competition generates the most confidence and competence in Physical Education lessons, the type that children engage in most and the preference of the different types of competition. Results and Conclusion: The data is currently in collection, it will analyse the children’s performance and scores within the physical activity challenges. The children’s improvement and engagement will be assessed to evaluate the Castle competition model and if confidence and competence can be enhanced

Body water compartments during bed rest: Evaluation of analytical methods

Nine healthy young men were studied to determine the reproducibility and interchangeability of the use of radio-iodinated human serum albumin and Evans Blue dye for estimating plasma volume, sodium bromide for extracellular fluid volume, and deuterium oxide for total body water volume. All subjects were tested in a semibasal condition and allowed to rest for at least 30 min. after arriving at the laboratory. The results indicate that there was uniform distribution of I131 and Evans Blue dye 10 min. after injection and of NaBr and D2O 3 hours after oral ingestion; the buildup of residual tracer did not interfere appreciably with the measurement of either or Evans Blue spaces when they are administered at equal intervals, and the buildup of background tracer after ingestion of NaBr and D2O once per week for three consecutive weeks did not affect the accuracy of the measurement. It was found that I131 and Evans Blue may be used interchangeably for estimating plasma volume; for estimating bromide and D2O spaces, one 3-hour equilibrium blood sample gives results similar to the extrapolation of multiple samples

Low empathizing and high systemizing tendencies in Higher Education computing students: The affordances of virtual worlds in their education

Background. The increasing societal reliance on emerging technology is demanding much more of those planning a career in the computing profession than technical ability alone. Many contemporary roles require business contact and therefore soft skills are an essential component of capability. However, the association between those who are inherently drawn to a career in computing and low empathizing, high systemizing (LEHS) tendencies could impair their future performance. Therefore, it is important for higher education to both recognize this need and devise strategies to ensure that the required soft skills are developed as early as possible.Aim. To evaluate the ability of virtual world technology, through its characteristics of immersion, identity and interaction, to foster the soft skills identified as presenting the most difficulty for those with a LEHS disposition as part of their higher education experience.Method. A variety of virtual world activities were introduced to an undergraduate applied computing programme in order to target the following areas: coping with changes in routine, verbal and non-verbal communication, the application of play/imagination and the development of social relationships. The study was guided by the students’ position on the Autism Quotient continuum and a range of quantitative/qualitative methods were applied to assess student performance, as well as their perception of the intervention.Result. It was found that achievement was generally improved for all students in areas that involved virtual world activities. Although the soft skills attainment appeared to be delayed in those with LEHS tendencies, it was seen as being more significant than those below the average AQ threshold, with a noticeable impact in areas of extreme difficulty.Conclusion. The achievement, apparent in all computing students, was expedient in terms of educational practicality. However, the study suggests that VW activities could be used as an engaging device to provide a technical solution to the acquisition of non-technical skills, particularly for those exhibiting LEHS traits

Parallel Deterministic and Stochastic Global Minimization of Functions with Very Many Minima

The optimization of three problems with high dimensionality and many local minima are investigated under five different optimization algorithms: DIRECT, simulated annealing, Spall’s SPSA algorithm, the KNITRO package, and QNSTOP, a new algorithm developed at Indiana University