Age trends and suggestibility : the effects of social influence

The present study explored how the source of suggestive information affected children\u27s memory for a witnessed event as a function of age. Children and adolescents ranging from 7 to 17 years of age watched a 10-minute video and were then interviewed twice about the witnessed event: once immediately after watching the video and again 1 week later. During the second interview the source of social influence (peer vs. adult) and suggestive information accuracy (correct-leading vs. incorrect-leading) were manipulated. Findings indicate that adults were the most influential source and peers were the least influential source, regardless of age. The data also suggest an age trend in suggestibility such that younger children are more influenced by incorrect information attributed to an adult source than older children

Mathematical Modeling and Computation of Channel Flow over Discrete Structures

In this paper mathematical modeling and computation of channel flow over small discrete structures are carried out under some reasonable conditions. A mathematical model for such a flow problem, which is based on a relevant system of partial differential equations and Fourier analysis, is studied using perturbation and nonlinear stability methods, and the resulting flow solutions over two types of discrete structures are computed under both stable and unstable conditions. It was found, in particular, that for a subcritical domain with the Reynolds number R slightly less than its critical value Rc, which is defined as the value below which no disturbances are linearly unstable, the structure leads to a stable steady flow whose modal representations have horizontal scale(s) that are due to those of the structure. On the limiting boundary between the stable and unstable flow, the flow is oscillatory with length scales due to the structure and the critical flow. Larger height of the structure affects the flow more significantly by reducing the subcritical domain for the induced steady flow

Mathematical Modeling and Computation of Channel Flow over Discrete Structures

In this paper mathematical modeling and computation of channel flow over small discrete structures are carried out under some reasonable conditions. A mathematical model for such a flow problem, which is based on a relevant system of partial differential equations and Fourier analysis, is studied using perturbation and nonlinear stability methods, and the resulting flow solutions over two types of discrete structures are computed under both stable and unstable conditions. It was found, in particular, that for a subcritical domain with the Reynolds number R slightly less than its critical value Rc, which is defined as the value below which no disturbances are linearly unstable, the structure leads to a stable steady flow whose modal representations have horizontal scale(s) that are due to those of the structure. On the limiting boundary between the stable and unstable flow, the flow is oscillatory with length scales due to the structure and the critical flow. Larger height of the structure affects the flow more significantly by reducing the subcritical domain for the induced steady flow

Numerical validation of the incremental launching method of a steel bridge through a small-scale experimental study

The final publication is available at Springer via http://dx.doi.org/10.1007/s40799-016-0037-5 This article presents an experimental and a numerical study of an incremental launching process of a steel bridge. The former is deployed in a scale-reduced laboratory,whereas the latter is performed using the finite elementmethod. The numerical simulation is based upon realistic transient boundary conditions and accurately reproduces the elastic response of the steel bridge during launching. This numerical approach is validated experimentally with the scale-reduced test performed at the laboratory. The properly validated numerical model is subsequently systematically employed as a simulation tool of the process. The proposed simulation protocol might be useful for design and monitoring purposes of steel bridges to be launched. Results concerning strains, stresses, and displacements might be inferred from the model and thus compared to field measurements obtained in situ. The conditions presented at the end of the article are potentially useful for researchers and practice engineers alike

(R1510) A Special Case of Rodriguez-Lallena and Ubeda-Flores Copula Based on Ruschendorf Method

Measure of dependence is a particular way of looking at the association between random variables, and one way to capture stochastic dependence is through the use of copula. In this study, a Rushendorf Method was applied to a bivariate function to obtain a copula through the use of a special case of Rodriguez-Lallena and Ubeda-Flores (RLUF) copula. Properties of the RLUF copula such as the density, measures of dependence, and lower and upper tail dependence were studied. In particular, measures of dependence such as Spearman’s rho, Kendall’s tau and Blomqvist’s beta of RLUF copula are given. Moreover, the Root-Mean-Square Error (RMSE), Sum-Square Error (SSE), Mean Absolute Error (MAE), Mean Square Error (MSE), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used in deriving the best joint distribution between monthly precipitation and temperature in the Philippines from 1974 to 2013. The results showed that considering the monthly precipitation and temperature datas, RLUF copula outperformed the other existing bivariate copulas such as Ali-Mikhail-Haq (AHM), Farlie-Gumbel-Morgenstern (FGM), and Clayton copulas

New Active Cooling System to Prevent an Overheating on the Vehicle Disc Brake

The brake is a major and vital component to slow down and stop a vehicle. If the brake malfunctions, it can cause a fatal accident or seriously injure either passenger or other road users. That is one reason why research is conducted to improve the capability and reliability of vehicle braking systems. The thermo-mechanical properties of the material for better disc brake components have been investigated. Some geometrics of the disc brake design models have also been studied to determine the heat distribution that occurs during braking. However, brake failure cases still occur frequently. Most of the brake failures are preceded by the occurrence of overheating when the vehicle is braked continuously on a declining road. This indicates that the heat dissipation system during braking does not work well. This study focuses on designing an unconventional brake system, that uses an active cooling system. Under conditions of large braking loads, the brake system will actively cool down by spraying water on the caliper so the brakes will not experience overheating. The design of this system consists of temperature sensors mounted on the caliper, an over-temperature control unit and also a cooling unit. The design is implemented on a four-wheel vehicle brake model. The increase of caliper temperature at the time of braking is simulated by putting the temperature sensor on the Bunsen burner. The results of this study shows that at various levels of temperature increases the system works very well

A Geometric Representation for the Proca Model

The Proca model is quantized in an open-path dependent representation that generalizes the Loop Representation of gauge theories. The starting point is a gauge invariant Lagrangian that reduces to the Proca Lagrangian when certain gauge is selected.Comment: 10 pages, Late

ORGANIZATIONAL TRUST, TEACHERS' SELF-EFFICACY AND SCHOOL CULTURE: A STRUCTURAL EQUATION MODEL ON PROFESSIONAL LEARNING COMMUNITIES AMONG PUBLIC ELEMENTARY SCHOOLS IN REGION XI

This research journey attempted to investigate the impact of organizational trust, teachers’ self-efficacy, and school culture on professional learning communities in public elementary schools using Structural Equation Modeling (SEM) to 400 elementary school teachers in Davao Region, Philippines. Findings revealed very high levels of Organizational Trust, Teacher Self-Efficacy, School Culture, and Professional Learning Communities. There were significant correlations between Organizational Trust, Teacher Self-Efficacy, School Culture, and Professional Learning Organization. Further, results showed that the best fit model was model 3 showing the direct causal relationships of Organizational Trust, Teacher Self-efficacy, and School Culture on Professional Learning Communities. Furthermore, structure modifications revealed that Professional Learning Communities were defined by their retained indicators, namely: Collective Learning and Application, and Supportive Conditions – Relationships. On the other hand, Organizational Trust was described by its domains: Affect-Based Trust, and Cognition-Based Trust while Teacher Self-Efficacy was determined by its retained indicators, namely: Classroom Management and Student Engagement. Finally, School Culture was measured by its domains: Affiliative Collegiality and Professional Collaboration. The findings of the study could be a significant baseline for faculty development programs of educational institutions.  Article visualizations