Effects of power variation on cycle performance during simulated hilly time-trials

It has previously been shown that cyclists are unable to maintain a constant power output during cycle time-trials on hilly courses. The purpose of the present study is therefore to quantify these effects of power variation using a mathematical model of cycling performance. A hypothetical cyclist (body mass: 70?kg, bicycle mass: 10?kg) was studied using a mathematical model of cycling, which included the effects of acceleration. Performance was modelled over three hypothetical 40-km courses, comprising repeated 2.5-km sections of uphill and downhill with gradients of 1%, 3%, and 6%, respectively. Amplitude (5–15%) and distance (0.31–20.00?km) of variation were modelled over a range of mean power outputs (200–600?W) and compared to sustaining a constant power. Power variation was typically detrimental to performance; these effects were augmented as the amplitude of variation and severity of gradient increased. Varying power every 1.25?km was most detrimental to performance; at a mean power of 200?W, performance was impaired by 43.90?s (±15% variation, 6% gradient). However at the steepest gradients, the effect of power variation was relatively independent of the distance of variation. In contrast, varying power in parallel with changes in gradient improved performance by 188.89?s (±15% variation, 6% gradient) at 200?W. The present data demonstrate that during hilly time-trials, power variation that does not occur in parallel with changes in gradient is detrimental to performance, especially at steeper gradients. These adverse effects are substantially larger than those previously observed during flat, windless time-trials.     

Beyond Heroes and Villains: Examining Explanatory Mechanisms Underlying Moral Disengagement

In recent years, theorizing regarding the role and importance of media entertainment in everyday life has garnered much serious attention by media effects scholars. The role of moral judgments, sanctions, and lack thereof are areas in which theoretical development has expanded. The present study examines narrative exposure, identification, and moral judgment as indicators of the degree to which individuals may morally disengage during mediated entertainment experiences. In addition, this study attempts to further expand disposition theory and theorizing about the role of moral disengagement by moving beyond conceptualizations of good, bad, and morally ambiguous characters to explore more subtle moral distinctions between characters as they exist within the same narrative and along a continuum. Results suggest that identification and moral judgment serve as important mediators predicting moral disengagement; however, the nature of these relationships are moderated by the perception of the character’s moral fortitude.     

Improved fast intra prediction algorithm of H.264/AVC

With advanced prediction modes of intra prediction, intra coding of H.264/AVC offers significant coding gains compared with previous video coding standards. It uses an important tool called Lagrangian rate-distortion optimization (RDO) technique to decide the best coding mode for a block, but the computational burden is extremely high. In this paper, we proposed an improved fast intra prediction algorithm including block type selection and mode decision algorithm based on analysis of edge feature of a block. Our algorithm filters out unlikely block type and candidate modes to reduce the RDO calculations. Experimental results showed that the proposed algorithm can reduce the computation complexity of intra prediction from 52.90% to 56.31%, with 0.04 dB PSNR degradation and 2% increase of bit rate.     

Evaluating the Instructional Sensitivity of Four States' Student Achievement Tests

As state tests of student achievement are used for an increasingly wide array of high- and low-stakes purposes, evaluating their instructional sensitivity is essential. This article uses data from the Bill and Melinda Gates Foundation's Measures of Effective Project to examine the instructional sensitivity of 4 states' mathematics and English language arts assessments to 5 measures of pedagogical quality. The results indicate modest overall levels of sensitivity, with some state assessments insensitive to most or all measures of pedagogical quality. Furthermore, there are sometimes substantial differences across states in the sensitivity of their assessments. The article calls for more research on what makes state tests instructionally sensitive and cautions against the use of insensitive assessments for consequential decisions.     

Curricular Differences and Unidimensionality of Achievement Test Data: An Exploratory Analysis

The purpose of this study was to investigate whether a linear factor analytic method commonly used to investigate violation of the item response theory (IRT) unidimensionality assumption is sensitive to measurable curricular differences within a school district and to examine the possibility of differential item performance for groups of students receiving different instruction. For grades 3 and 6 in reading and mathematics, personnel from two midwestern school systems that regularly administer standardized achievement tests identified the formal textbook series used and provided ratings of test-instructional match for each school building (classroom). For both districts, the factor analysis results suggested no differences in percentages of variance for large first factors and relatively small second factors across ratings or series groups. The IRT analyses indicated little, if any, differential item performance for curricular subgroups. Thus, the impact of factors that might be related to curricular differences was judged to be minor.     

Triadic interaction in clinical task-based interviews with mathematics teachers

A clinical task-based interview can be seen as a situation where the interviewer–interviewee interaction on a task is regulated by a system of explicit and implicit norms, values, and rules. This paper describes how documenting and mapping triadic interaction among the interviewer, the interviewee, and the knowledge negotiated can be used to increase procedural replicability of the interview and accuracy of drawn conclusions about the interviewee’s thinking process. Excerpts from interviews with 25 inservice mathematics teachers working on a task to make up a problem whose solution requires division of two fractions are discussed. The excerpts illustrate the relationship between methodological decisions taken by the interviewer during the interview and the applicability of the interview output to the research questions. A divergent analysis of the interviews with these teachers, which spanned over two years and were conducted by four interviewers, is used to offer a framework for analyzing data collected in clinical task-based interviews.     

Social Work Intervention with White Collared Employees and Their Families

This investigation presents a framework for understanding and also to test the efficacy of Social Work intervention on the well being of the white collared employee (industrial employee) and his/her family. A comprehensive and intensive personal- family exploration was done to uncover the relatedness of seemingly disparate areas of the clients lives. A total of 80 executives (industrial employees) served as subjects. A baseline assessment was done using structured, standardized interview-schedules/questionnaires. The results of the study can be enumerated as follows: After the Social Work intervention, the executives in occupational profile, there were significant changes in Role perception, overload, role conflict, low status and poor peer relations. In coping strategies there was significant improvement in sub-scales like problem solving and unproductive coping. Significant reduction was noticed in their proneness to heart disease, depression, inadequate mental mastery, and perceived ill health. There was significant improvement in their family group support, and in their expressiveness, achievement, orientation, active-recreational and organizational characteristics.     

基于核密度估计多样性采集的背景建模算法

1IntroductionBackground subtraction methods are extensively ex-ploited for moving object detection in videos in manyapplications ,such as traffic monitoring[1],human mo-tion capture[2]and video surveillance[3]. The centralidea behind such methods is to segment foreground ini mage sequences taken from a fixed camera by com-paring each newframe to a model of the scene back-ground . Therefore , correctly and efficiently modelingand updating the background model is one of the mostchallenging aspec…