Understanding Shame and Guilt in Chinese Culture

Research on shame and guilt has mainly been conducted in individualistic Western cultures. Some qualitative research, however, examined shame and guilt experiences in Chinese culture. Bedford (2004) identified 7 terms that represent emotional experiences of “shame” and “guilt.” We report 3 studies examining Mandarin Chinese speakers’ recalled experiences of negative self-conscious emotions and their related appraisals and motivations. Results reveal that instead of categorizing negative self-conscious emotion terms into 2 superordinate categories of “shame” and “guilt,” 3 clusters are more suitable based on their correlations and associated characteristics. Implications for cross-cultural studies on self-conscious emotions are discussed

Implementation of Cloth Simulation Using Parallel Computing on Mobile Device

Physically based modeling and simulation is an important technique for deformable object simulation, which is widely used to represent the realistic shape change and movement of objects for mobile game or 3D simulation. However, they require the high computational cost for representing the physical phenomenon on deformable objects when it applied on mobile device. In this paper, we designed and implemented the cloth simulation for deformable object simulation using the parallel technique on mobile device to optimize the computational burden. We especially applied GPU parallel technique for the integration solving process such as Euler, Midpoint, 4th-order Runge-Kutta method to estimate the particles' next status using positions and velocities. Also we applied multi-thread parallel technique for calculating the spring force. Then we compared the performance of each integration methods between under only CPU and CPU with GPU on mobile device. Also we compared the computing time of spring calculation between only CPU and using CPU multi-thread

VEHICLE SECURING SAFETY ASSESSMENTS OF A KOREAN COASTAL CAR FERRY ACCORDING TO ACCELERATION PREDICTION APPROACHES

The capsize and subsequent sinking of a coastal car ferry occurred along the Korean coast, resulting in hundreds of casualties. The rapid course change of the ship might have forced improperly secured cargoes to rush to one side and accelerated the capsizing event. This paper provides a comparative study of vehicle securing safety assessments composed of evaluations of the external inertia forces and lashing strengths for a car and a truck. The external inertia forces were evaluated based on the IMO CSS (CSS approach) and rule-based maximum motion angles (RULE approach). Being a car ferry as a target ship, the sea states were collected along the most frequent seagoing routes of the target ship. Frequency domain seakeeping analyses (FSA approach) were carried out and then the long-term motion components were derived using the collected sea state data. The long-term motion components were put forward based on time domain seakeeping analyses (TSA approach). The TSA approach estimated the most optimistic external forces, while the CSS approach provided the most conservative external forces. Assuming the vehicles were secured symmetrically with four steel wires, the lashing strengths were derived. More numbers of lashing cables were required for the heavy vehicles when the CSS approach was applied, while other approaches predicted sufficient lashing strengths compared to exerted forces

An arrhythmia classification algorithm using a dedicated wavelet adapted to different subjects

<p>Abstract</p> <p>Background</p> <p>Numerous studies have been conducted regarding a heartbeat classification algorithm over the past several decades. However, many algorithms have also been studied to acquire robust performance, as biosignals have a large amount of variation among individuals. Various methods have been proposed to reduce the differences coming from personal characteristics, but these expand the differences caused by arrhythmia.</p> <p>Methods</p> <p>In this paper, an arrhythmia classification algorithm using a dedicated wavelet adapted to individual subjects is proposed. We reduced the performance variation using dedicated wavelets, as in the ECG morphologies of the subjects. The proposed algorithm utilizes morphological filtering and a continuous wavelet transform with a dedicated wavelet. A principal component analysis and linear discriminant analysis were utilized to compress the morphological data transformed by the dedicated wavelets. An extreme learning machine was used as a classifier in the proposed algorithm.</p> <p>Results</p> <p>A performance evaluation was conducted with the MIT-BIH arrhythmia database. The results showed a high sensitivity of 97.51%, specificity of 85.07%, accuracy of 97.94%, and a positive predictive value of 97.26%.</p> <p>Conclusions</p> <p>The proposed algorithm achieves better accuracy than other state-of-the-art algorithms with no intrasubject between the training and evaluation datasets. And it significantly reduces the amount of intervention needed by physicians.</p

PROVIDING REFERENCE CLIENT PERSPECTIVE FOR ENHANCED RADIO FREQUENCY AND ASSURANCE FUNCTION

Techniques are described through which a sensor can provide a client Radio Frequency (RF) perspective to a wireless infrastructure. This enables establishing ultimate close-loop telemetry data for root cause analysis on Wi-Fi® problems through an assurance engine. Exchange methods and enhanced measurement reports provide a client perspective of the ever-changing RF conditions autonomously or on-demand basis to the wireless infrastructure

IRT5 Probiotics Changes Immune Modulatory Protein Expression in the Extraorbital Lacrimal Glands of an Autoimmune Dry Eye Mouse Model

PURPOSE. While the association between the gut microbiome and the immune system has been studied in autoimmune disorders, little is known about ocular disease. Previously we reported that IRT5, a mixture of five probiotic strains, could suppress autoimmune dry eye. In this study, we investigated the mechanism by which IRT5 performs its immunomodulatory function in a mouse model of autoimmune dry eye. METHODS. NOD.B10.H2b mice were used as an autoimmune dry eye model. Either IRT5 or PBS was gavaged orally for 3 weeks, with or without 5 days of antibiotic pretreatment. The effects on clinical features, extraorbital lacrimal gland and spleen proteins, and fecal microbiota were analyzed. RESULTS. The ocular staining score was lower, and tear secretion was higher, in the IRT5-treated groups than in the PBS-treated groups. After IRT5 treatment, the downregulated lacrimal gland proteins were enriched in the biological processes of defense response and immune system process. The relative abundances of 33 operational taxonomic units were higher, and 53 were lower, in the feces of the IRT5-treated groups than in those of the PBS-treated groups. IRT5 administration without antibiotic pretreatment also showed immunomodulatory functions with increases in the Lactobacillus helveticus group and Lactobacillus hamsteri. Additional proteomic assays revealed a decrease of proteins related to antigen-presenting processes in the CD11b(+) and CD11c(+) cells of spleen in the IRT5-treated groups. CONCLUSIONS. Changes in the gut microbiome after IRT5 treatment improved clinical manifestations in the autoimmune dry eye model via the downregulation of antigen-presenting processes in immune networks.11Ysciescopu