Dressing up posture: The interactive effects of posture and clothing on competency judgements

This is peer reviewed version of the following article: Daniel J. Gurney, Neil Howlett, Karen Pine, Megan Tracey, and Rachel Moggridge, ‘Dressing up posture: The interactive effects of posture and clothing on competency judgements’, British Journal of Psychology, first published 6 July 2016, which has been published in final form at DOI: 10.1111/bjop.12209 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Individuals often receive judgements from others based on their clothing and their posture. While both of these factors have been found to influence judgements of competency independently, their relative importance in impression formation are yet to be investigated. We address this by examining interactive effects of posture and clothing on four competency measures; confidence, professionalism, approachability, and likeliness of a high salary. Participants rated photographs of both male and female models pictured in different postures (strong, neutral, weak) in smart clothing (a suit for males; both a trouser suit and skirt suit for females) and casual clothing. We confirm that posture manipulations affected judgements of individuals differently according to the clothing they were pictured in. The nature of these interactions varied by gender and, for women, competency judgements differed according to attire type (trouser or skirt suit). The implications of these findings in relation to impression formation are discussed.Peer reviewe

Mantle flow in regions of complex tectonics: insights from Indonesia

Indonesia is arguably one of the tectonically most complex regions on Earth today due to its location at the junction of several major tectonic plates and its long history of collision and accretion. It is thus an ideal location to study the interaction between subducting plates and mantle convection. Seismic anisotropy can serve as a diagnostic tool for identifying various subsurface deformational processes, such as mantle flow, for example. Here, we present novel shear wave splitting results across the Indonesian region. Using three different shear phases (local S, SKS, and downgoing S) to improve spatial resolution of anisotropic fabrics allows us to distinguish several deformational features. For example, the block rotation history of Borneo is reflected in coast-parallel fast directions, which we attribute to fossil anisotropy. Furthermore, we are able to unravel the mantle flow pattern in the Sulawesi and Banda region: We detect toroidal flow around the Celebes Sea slab, oblique corner flow in the Banda wedge, and sub-slab mantle flow around the arcuate Banda slab. We present evidence for deep, sub-520 km anisotropy at the Java subduction zone. In the Sumatran backarc, we measure trench-perpendicular fast orientations, which we assume to be due to mantle flow beneath the overriding Eurasian plate. These observations will allow to test ideas of, for example, slab–mantle coupling in subduction regions

EGFR mutation status in tumour-derived DNA from pleural effusion fluid is a practical basis for predicting the response to gefitinib

Epidermal growth factor receptor (EGFR) mutations are strong determinants of tumour response to EGFR tyrosine kinase inhibitors in non-small-cell lung cancer (NSCLC). Pleural effusion is a common complication of lung cancer. In this study, we assessed the feasibility of detection of EGFR mutations in samples of pleural effusion fluid. We obtained 43 samples, which was the cell-free supernatant of pleural fluid, from Japanese NSCLC patients, and examined them for EGFR mutations. The epidermal growth factor receptor mutation status was determined by a direct sequencing method (exons 18–21 in EGFR). EGFR mutations were detected in 11 cases (E746_A750del in seven cases, E746_T751del insA in one case, L747_T751del in one case, and L858R in two cases). The EGFR mutations were observed more frequently in women and non-smokers. A comparison between the EGFR mutant status and the response to gefitinib in the 27 patients who received gefitinib revealed that all seven patients with partial response and one of the seven patients with stable disease had an EGFR mutation. No EGFR mutations were detected in the patients with progressive disease. The results suggest that DNA in pleural effusion fluid can be used to detect EGFR mutations and that the EGFR mutation status may be useful as a predictor of the response to gefitinib

STRUCTURING THE WEB TO COPE WITH DYNAMIC CHANGES

Abstract: The web structure yields significant insights into web algorithms for searching, structuring, discovering, mining, and revealing web information. We formalize our view of the web structure in terms of the integer linear programming that converts the web directed graph to the optimal hierarchical structure. The model represents a high level structure regardless of various measures such as the cosine similarity and tf-idf measure of the vector space model as well as the PageRank of Google. Another advantage for our approach is that the corresponding sensitivity analysis yields an allowable range for the optimal structure so that the model can be estimated even though dynamic changes take place in the web pages, links, and structures. Key words: web structuring, linear programming, VSM, tf-idf, PageRank 1

Editor's Note: Special Issue on Big Data and Smart Computing

11sciescopu

Refreshing Distributed Multiple View and Replicas

In this paper we prescribe a replication server scheme with an algorithm DRF (Differential Refresh File) to refresh multiple materialized views and replicas in distributed environments. Before sending relevant tuples in server sites to client sites, an effective tuple reduction scheme is developed as a preprocessor to reduce the transmission cost. Because it utilizes differential files without touching base relations, the DRF scheme can help to minimize the number of lucks, which enhances the system's performance

Dynamic Characteristics Prediction Model for Diesel Engine Valve Train Design Parameters Based on Deep Learning

This paper presents a comprehensive study on the utilization of machine learning and deep learning techniques to predict the dynamic characteristics of design parameters, exemplified by a diesel engine valve train. The research aims to address the challenging and time-consuming analysis required to optimize the performance and durability of valve train components, which are influenced by numerous factors. To this end, dynamic analyses data have been collected for diesel engine specifications and used to construct a regression prediction model using a gradient boosting regressor tree (GBRT), a deep neural network (DNN), a one-dimensional convolution neural network (1D-CNN), and long short-term memory (LSTM). The prediction model was utilized to estimate the force and valve seating velocity values of the valve train system. The dynamic characteristics of the case were evaluated by comparing the actual and predicted values. The results showed that the GBRT model had an R2 value of 0.90 for the valve train force and 0.97 for the valve seating velocity, while the 1D-CNN model had an R2 value of 0.89 for the valve train force and 0.98 for the valve seating velocity. The results of this study have important implications for advancing the design and development of efficient and reliable diesel engines

Structuring Web Sites Using Linear Programming

World Wide Web is nearly ubiquitous and the tremendous growing number of Web information strongly requires a structuring framework by which an overview visualization of Web sites has provided as a visual surrogate for the users. We have a viewpoint that the Web site is a directed graph with nodes and arcs where the nodes correspond to Web pages and the arcs correspond to hypertext links between the Web pages. In dealing with the WWW, the goal in this paper is not to derive a na¨ıve shortest path or a fast access method, but to generate an optimal structure based on the context centric weight. We modeled a Web site formally so that a linear programming model can be formulated. Even if changes such as modification of the query terms, the optimizedWeb site structure can be maintained in terms of sensitivity.This work was supported by Korea Science and Engineering Foundation(KOSEF) through Advanced Information Technology Research Center (AITrc)