964 research outputs found
SPPS-Supplementary_Materials-Li - System Justification Enhances Life Satisfaction of High- and Low-Status People in China
No full textSPPS-Supplementary_Materials-Li for System Justification Enhances Life Satisfaction of High- and Low-Status People in China by Wenqi Li, Junhui Wu and Yu Kou in Social Psychological and Personality Science</p
Supplemental Material - Development of HEXACO Personality Traits and Their Relations With Socioeconomic Factors Among Chinese Adolescents: A Three-Wave Longitudinal Study
No full textSupplemental Material for Development of HEXACO Personality Traits and Their Relations With Socioeconomic Factors Among Chinese Adolescents: A Three-Wave Longitudinal Study by Wenqi Li, Junhui Wu, Zhen Guo, and Yu Kou in European Journal of Personality.</p
Kou_OnlineAppendix – Supplemental material for Testing the Status-Legitimacy Hypothesis in China: Objective and Subjective Socioeconomic Status Divergently Predict System Justification
No full textSupplemental material, Kou_OnlineAppendix for Testing the Status-Legitimacy Hypothesis in China: Objective and Subjective Socioeconomic Status Divergently Predict System Justification by Wenqi Li, Ying Yang, Junhui Wu and Yu Kou in Personality and Social Psychology Bulletin</p
sj-docx-1-jcc-10.1177_00220221211065108 – Supplemental material for Perceptions of Emotional Functionality: Similarities and Differences Among Dignity, Face, and Honor Cultures
No full textSupplemental material, sj-docx-1-jcc-10.1177_00220221211065108 for Perceptions of Emotional Functionality: Similarities and Differences Among Dignity, Face, and Honor Cultures by Angela T. Maitner, Jamie DeCoster, Per A. Andersson, Kimmo Eriksson, Sara Sherbaji, Roger Giner-Sorolla, Diane M. Mackie, Mark Aveyard, Heather M. Claypool, Richard J. Crisp, Vladimir Gritskov, Kristina Habjan, Andree Hartanto, Toko Kiyonari, Anna O. Kuzminska, Zoi Manesi, Catherine Molho, Anudhi Munasinghe, Leonard S. Peperkoorn, Victor Shiramizu, Rachel Smallman, Natalia Soboleva, Adam W. Stivers, Amy Summerville, Baopei Wu and Junhui Wu in Journal of Cross-Cultural Psychology</p
Social mindfulness and prosociality vary across the globe
No full textHumans are social animals, but not everyone will be mindful of others to the same extent. Individual differences have been found, but would social mindfulness also be shaped by one’s location in the world? Expecting cross-national differences to exist, we examined if and how social mindfulness differs across countries. At little to no material cost, social mindfulness typically entails small acts of attention or kindness. Even though fairly common, such low-cost cooperation has received little empirical attention. Measuring social mindfulness across 31 samples from industrialized countries and regions (n = 8,354), we found considerable variation. Among selected country-level variables, greater social mindfulness was most strongly associated with countries’ better general performance on environmental protection. Together, our findings contribute to the literature on prosociality by targeting the kind of everyday cooperation that is more focused on communicating benevolence than on providing material benefits.</p
Junhui Cai, Dan Yang, Linda Zhao and Wu Zhu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng
No full textIn the 1930s, Psychologists began developing Multiple-Factor Analysis to decompose multivariate data into a small number of interpretable factors without any a priori knowledge about those factors. In this form of factor analysis, the Varimax factor rotation redraws the axes through the multi-dimensional factors to make them sparse and thus make them more interpretable. Charles Spearman and many others objected to factor rotations because the factors seem to be rotationally invariant. Despite the controversy, factor rotations have remained widely popular among people analyzing data. Reversing nearly a century of statistical thinking on the topic, we show that the rotation makes the factors easier to interpret because the Varimax performs statistical inference; in particular, principal components analysis (PCA) with a Varimax rotation provides a unified spectral estimation strategy for a broad class of semi-parametric factor models, including the Stochastic Blockmodel and a natural variation of Latent Dirichlet Allocation. In addition, we show that Thurstone’s widely employed sparsity diagnostics implicitly assess a key leptokurtic condition that makes the axes statistically identifiable in these models. PCA with Varimax is fast, stable, and practical. Combined with Thurstone’s straightforward diagnostics, this vintage approach is suitable for a wide array of modern applications</p
The feasibility and microbial community dynamics of using down flow hanging sponges (DHS) reactor in treating high strength soft drink wastewater
No full textThe feasibility of using a standalone down-flow hanging sponge (DHS) reactor to treat high organic strength soft drink wastewater was investigated by operation over 700 days. At the same time, the microbial compositions were characterized and related to reactor performance. Synthetic wastewater at a concentration of 3000 mg/L chemical oxygen demand (COD) was directly fed to two identical DHS reactors operated in parallel. The effluent from these two reactors was then combined and fed to a third DHS reactor identical as the first two in physical scale. The first two DHS reactors were operated with a hydraulic retention time (HRT) of 15.3 hours and an organic loading rate of 4.9 kg COD/m3 sponge volume/day, and achieved > 90% organic matters removal efficiency. The third reactor consistently achieved a final effluent COD 60% of organic and nitrogen species contents were removed at the upper part of the reactor.
The microbial community analyses together with redundancy analysis revealed that the community structures could be distinguished based on the locations of individual sponges taken along the reactor. Also, microbial community structures were continuously shifted during the entire operation period and a feeding accident influenced the community structures significantly. In general, at the end of the operation period, OTUs in phylum Proteobacteria were more abundant in the reactor with good organic removal efficiency (>90%) than that with poor efficiency (<50%). In contract, OTUs related to Bacteroidetes was observed to be more abundant in the reactor with poor organic removal efficiency. OTUs closely related to Tolumonas auensis, and Rivicola pingtungensis had higher abundance in the upper part communities than middle and lower part of the reactor with good organic removal efficiency and these OTUs were likely targeting the major components in the feeding substrate. In addition, the lower abundance of these OTUs in the upper part of the reactor with poor organic removal efficiency than that with good efficiency might also indicate the importance of these OTUs in treating the soft drink wastewater tested in this study.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-08-01The student, Junhui Liao, accepted the attached license on 2016-06-22 at 15:30.The student, Junhui Liao, submitted this Thesis for approval on 2016-06-22 at 15:31.This Thesis was approved for publication on 2016-06-23 at 11:12.DSpace SAF Submission Ingestion Package generated from Vireo submission #9692 on 2016-11-10 at 12:19:31Made available in DSpace on 2016-11-10T18:27:30Z (GMT). No. of bitstreams: 2
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Previous issue date: 2016-06-23Embargo set by: Seth Robbins for item 95323
Lift date: 2018-11-10T18:28:02Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 95323 on 2018-11-11T10:15:32Z
Robust Kalman filters based on Gaussian scale mixture distributions with application to target tracking
No full textIn this paper, a new robust Kalman filtering framework for a linear system with non-Gaussian heavy-tailed and/or skewed state and measurement noises is proposed through modeling one-step prediction and likelihood probability density functions as Gaussian scale mixture (GSM) distributions. The state vector, mixing parameters, scale matrices, and shape parameters are simultaneously inferred utilizing standard variational Bayesian approach. As the implementations of the proposed method, several solutions corresponding to some special GSM distributions are derived. The proposed robust Kalman filters are tested in a manoeuvring target tracking example. Simulation results show that the proposed robust Kalman filters have a better estimation accuracy and smaller biases compared to the existing state-of-the-art Kalman filters.Yulong Huang, Yonggang Zhang, Peng Shi, Zhemin Wu, Junhui Qian, and Jonathon A. Chamber
Smart Flow Control Processes in Micro Scale
No full textIn recent years, microfluidic devices with a large surface-to-volume ratio have witnessed rapid development, allowing them to be successfully utilized in many engineering applications. A smart control process has been proposed for many years, while many new innovations and enabling technologies have been developed for smart flow control, especially concerning “smart flow control” at the microscale. This Special Issue aims to highlight the current research trends related to this topic, presenting a collection of 33 papers from leading scholars in this field. Among these include studies and demonstrations of flow characteristics in pumps or valves as well as dynamic performance in roiling mill systems or jet systems to the optimal design of special components in smart control systems
Yi fen zi dong li mo ni yan jiu cha er tong yi gou mei de xuan ze xing
No full textTung, Chun Fai = 以分子動力模擬研究查耳酮異構酶的選擇性 / 董俊暉.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 57-59).Abstracts also in Chinese.Title from PDF title page (viewed on 29, September, 2016).Tung, Chun Fai = Yi fen zi dong li mo ni yan jiu cha er tong yi gou mei de xuan ze xing / Dong Junhui
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