David Oberleitner Ph.D., Assistant Professor Psychology’s study, “Upright and Left Out: Poster Moderates the Effects of Social Exclusion on Mood and Threats to Basic Needs,” presented research findings on the relationship between social-exclusion experiences, the postures adopted during inclusion or exclusion, and how these factors impact basic needs such as sense of belonging and overall mood. Through the use of a computer-controlled game, “Cyberball,” Oberleitner and colleagues from Wayne State University, the University of Toledo, and Nipissing University examined participant reactions to elements of social inclusion or exclusion via the passing of the ball on the screen as well as by the posture that the participant was asked to hold for the duration of the game. When looking at the relationship between posture and exclusion status, both mood and needs were significantly impacted, with lowered moods being felt when holding a “dominant” posture compared to the “submissive” posture while being excluded.
Sharen McKay, Ph.D., Adjunct Professor of Psychology, collaborated with colleagues from Yale University to study “Stria Vascularis Dysfunction in a Mouse Model of Mitochondrial Hearing Loss.” The research was conducted across the departments of pathology, surgery, and genetics at Yale to identify the specific cellular and tissue based pathologies underlying maternally inherited deafness caused by the human A 1555G mtDNA mutation. McKay and team found that hair cell loss did not correspond to the hearing loss in the TFB1M transgenic mice, however they did find that patterns of altered gene expression revealed by microarray analysis of stria vascularis of the transgenic mice suggested several stress pathways that may mediate the hearing loss.
Recent trends in clinical and telemedicine applications have prompted research in automation for electrocardiogram (ECG) signal processing and heart beat classification. These trends inspired Miad Faezipour, Ph.D., Assistant Professor of Computer Science and Engineering, and Biomedical Engineering, to explore a new patient-adaptive cardiac profiling scheme using a repetition-detection concept. Faezipour employed an efficient wavelet-based beat-detection mechanism to extract precise fiducial ECG points, followed by a novel local ECG beat classifier depending on the physical condition and/or environment of the patient. One application of such a profiling scheme is to automatically raise an early warning flag for the abnormal cardiac behavior of any individual. Her research results on the MIT-BIH arrhythmia database show that our technique can detect the beats with 99.59% accuracy and can identify abnormalities with high classification accuracy of 97.42%. Her poster was titled, “A Patient-Adaptive Profiling Scheme for ECG Beat Classification.”
Congsheng Wu, Ph.D., Associate Professor of Finance, researched the Chinese A-Share IPO listings in the foreign Hong Kong and U.S. markets and why the listings often appeared in the foreign markets before the mainland Chinese market. Wu focused on the unique feature of cross-listed Chinese stocks and built his research around testing the conventional theories of IPO underpricing. Wu concluded, based on his results, that the homecoming IPOs from overseas markets are still substantially overpriced when compared to domestic A-share IPOs. Overall, his results suggest the importance of local market structures and norms as influential factors of IPO underpricing.