8,828 research outputs found

    Autism: A Function of Neurodiversity?

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    In a culture filled with changes and challenges, there is a need to support groups of people with differences. Neurodiversity is a concept where neurological differences are to be recognized and respected as any other human variation. It is truly a “brain thang”. This “brain thang” means that there are differences in the brain that cause a student to behave, respond, or react differently than a student who appears to function normally. Education should not be compartments in which one has only a mindset of “these are special education students” and “these are not special education students”. The mindset must be changed to “all students” and that they are all “our students”. The information presented in this paper will point to the fact that general education preservice educators need the concept of neurodiversity and its relationship with Autism. These preservice teachers are very likely to have students with special needs in their classrooms. They must be made aware of how to help them be successful. Indeed, oftentimes with minor modifications or adjustments, students with neurological differences can be successful in the general education classroom. It is incumbent upon the general education teacher to be knowledgeable of these strategies and willing to implement them

    Instilling Diet and Exercise Confidence: Influence of Nurse Body Size

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    This paper reports a research study focused on perspective of nurse body size and how it affects confidence in a nurses’ ability to provide education on diet and exercise. The study followed a descriptive method design guided by a cross-sectional survey with quantitative variables. Results show that there is increased confidence in a nurse’s ability to provide education and influence habits regarding diet and exercise when the nurse role models such behaviors. Other findings presented include respondents’ perception of their body mass index versus their actual body mass index, percentage of respondents with health care conditions related to obesity, and percentage of respondents who have received education on diet and exercise from a heath care professional. The results of the study will enhance nursing literature and will benefit registered nurses, advance practice nurses, and nurse educators. It will provide nurses with an increased understanding of how their body size can influence receptiveness to teaching on diet and exercise

    Shuttle Electrical Power Analysis Program (SEPAP); single string circuit analysis report

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    An evaluation is reported of the data obtained from an analysis of the distribution network characteristics of the shuttle during a spacelab mission. A description of the approach utilized in the development of the computer program and data base is provided and conclusions are drawn from the analysis of the data. Data sheets are provided for information to support the detailed discussion on each computer run

    Block Stanley Deompositions II. Greedy Algorithms, Applications and Open Problems

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    Stanley decompositions are used in applied mathematics (dynamical systems) and sl2 invariant theory as finite descriptsions of the set of standard monomials of a monomial ideal. The block notation for Stanley decompositions has proved itself in this context as a shorter notation and one that is useful in formulating algorithms such as the box product. Since the box product appears only in dynamical systems literature, we sketch its purpose and the role of block notation in this application. Then we present a greedy algorithm that produces incompressible block decompositions (called organized ) from the monomial ideal; these are desirable for their likely brevity. Several open problems are proposed. We also continue to simplify the statement of the Soleyman-Jahan condition for a Stanley decomposition to be prime (come from a prime filtration) and for a block decomposition to be subprime, and present a greedy algorithm to produce stacked decompositions, which are subprime

    Some Asymptotic Estimates for Higher-Order Averaging and a Comparison with Iterated Averaging

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    Asymptotic estimates for classical higher order averaging are obtained on intervals of length greater than 0(1/e) when some of the averages vanish. These results are compared with results of Persek using iterated averaging, and the classical methods are found to be more powerful

    A Revealed Preference Approach to the Measurement of Congestion in Travel Cost Models

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    Travel cost models are regularly used to determine the value of recreational sites or particular site characteristics, yet a key site attribute, congestion, is often excluded from such analyses. One of several reasons is that congestion (unlike many other site attributes) is determined in equilibrium by the process of individuals sorting across sites, and thus presents significant endogeneity problems. This paper illustrates this source of endogeneity, describes how previous research has dealt with it by way of stated preference techniques, and describes an instrumental variables approach to address it in a revealed preference context. We demonstrate that failing to address the endogeneity of congestion will likely lead to the understatement of its costs, and possibly to the mistaken recovery of agglomeration benefits. We apply our technique to the valuation of a large recreational fishing site in Wisconsin (Lake Winnebago) which, if eliminated, would induce significant re-sorting of anglers amongst remaining sites. In our application, ignoring congestion leads to an understatement of the lake’s value by more than 50 percent.Congestion, Random Utility Model, Site Valuation, Travel Cost, Discrete Choice, Instrumental Variables, Quantile Regression

    Review of Pertubation Methods for Engineers and Scientists

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    This is an introduction to perturbation methods, at the beginning graduate level, suitable for courses focusing on methods rather than justification. Boundary layers and fluid flow are emphasized much more than nonlinear oscillations, but given this constraint, this book may have some advantages over its nearest competitor, Nayfeh’s Introduction to Perturbation Techniques. The author introduces perturbation expansions with a few examples, such as motion with small friction, roots of polynomials, and integration by parts. This leads to a second chapter on order symbols, asymptotic expansions, and uniformity. The next four chapters are each devoted to one of the basic classes of perturbation methods for differential equations, strained coordinates, multiple scales, matching, and WKB. (Strained coordinates are handled mostly by renormalization, that is, computing a nonuniform straightforward expansion and then rendering it uniform by straining.) A final chapter concerns asymptotic evaluation of integrals. The chapters on strained coordinates, multiple scales, and matching each have lengthy sections treating a serious physical application at a depth that is unusual in an introductory book; for strained coordinates and matching, these concern fluid flow, while for multiple scales the application is to lubricated bearings
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