The diverse identities of biracial persons: Antecedent factors, well-being and multicultural effectiveness.

The purpose of the current study was to explore the diverse racial identities of biracial individuals; the relationship between identity and several individual, interpersonal, and structural factors; and the impact identity may have on psychological well-being and multicultural effectiveness. To examine the racial identity of biracial individuals in North America, 236 individuals living in Canada or the United States of White and non-White racial backgrounds completed an internet survey. Based on their indication of how they identified in their private thoughts, participants were placed in one of four private identity categories: single non-White identity (SNWI), single White identity (SWI), dual identity (DI), or non-racial identity (NRI). Based on their responses to three public identity questions, participants were placed in one of two public identity categories: inconsistent identity, or consistent identity. Compared to the other three identity groups, those with a SNWI had a more inconsistent identity, believed they look more like their non-White group, had greater cultural experience with their non-White group, had a greater non-White social network, and more strongly believed their society is closed to racial diversity. Private identity was not related to psychological well-being, but those who perceived their society as more closed to racial diversity had lower psychological well-being than those who believed their society was more open. Those with a SNWI were also more multiculturally effective than those with a SWI or NRI. As compared to those with a consistent identity, those with an inconsistent identity believed they looked less like their White group, had greater cultural experience with their non-White group, believed their society was more closed to racial diversity, were higher on measures of open-mindedness and cultural empathy, and lower on measures of emotional stability.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2006 .M68. Source: Dissertation Abstracts International, Volume: 67-07, Section: B, page: 4160. Thesis (Ph.D.)--University of Windsor (Canada), 2006

Object Segmentation in Images using EEG Signals

This paper explores the potential of brain-computer interfaces in segmenting objects from images. Our approach is centered around designing an effective method for displaying the image parts to the users such that they generate measurable brain reactions. When an image region, specifically a block of pixels, is displayed we estimate the probability of the block containing the object of interest using a score based on EEG activity. After several such blocks are displayed, the resulting probability map is binarized and combined with the GrabCut algorithm to segment the image into object and background regions. This study shows that BCI and simple EEG analysis are useful in locating object boundaries in images.Comment: This is a preprint version prior to submission for peer-review of the paper accepted to the 22nd ACM International Conference on Multimedia (November 3-7, 2014, Orlando, Florida, USA) for the High Risk High Reward session. 10 page

LLRF upgrade status at the KEK Photon Factory 2.5 GeV ring

In 2023, we are replacing the LLRF system for the KEK-PF 2.5 GeV ring. The new system is composed of digital boards such as eRTM, AMC, and {\mu}RTM, based on the MTCA.4 standard. In our system, we adopted the non-IQ direct sampling method for RF detection. We set the sampling frequency at 8/13 (307.75 MHz) of the RF frequency, where the denominator (13) is the divisor of the harmonic number (312) of the storage ring. This allows us to detect the transient variation of the cavity voltage that is synchronized with the beam revolution. We also plan to compensate for the voltage variation by implementing a feedforward technique. These functions will be useful in a double RF system for KEK future synchrotron light source. Production and installation of the new system were complete and the new system is under commissioning. In this presentation, we introduce our new system and report the upgrade status.Comment: Talk presented at LLRF Workshop 2023 (LLRF2023, arXiv: 2310.03199

Species Abundance Patterns in Complex Evolutionary Dynamics

An analytic theory of species abundance patterns (SAPs) in biological networks is presented. The theory is based on multispecies replicator dynamics equivalent to the Lotka-Volterra equation, with diverse interspecies interactions. Various SAPs observed in nature are derived from a single parameter. The abundance distribution is formed like a widely observed left-skewed lognormal distribution. As the model has a general form, the result can be applied to similar patterns in other complex biological networks, e.g. gene expression.Comment: 4 pages, 3 figures. Physical Review Letters, in pres