8,519 research outputs found

    Communicator, June 2018

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    Interview with Diana Chow

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    Diana Shu-Lian Chow, Ph.D., is an outstanding researcher at the University of Houston College of Pharmacy, where she began her career in 1981. She has authored or co-authored more than 50 peer-reviewed journal articles, three book chapters and more than 200 abstracts presented at national and international scientific conference or meetings. She is the editor of the British Journal of Pharmacology, editorial board member for the Journal of Drug Development and Industrial Pharmacy and a reviewer for more than a dozen journals. She holds more than 10 U.S. and international patents, and in 2009, the Houston Intellectual Property Law Association bestowed its “Inventor of the Year” Award to Dr. Chow. She has worked with collaborators across the Texas Medical Center and the world on drugs that fight cancer and strive to help those with spinal cord injuries. She has received the Outstanding Alumni Achievement Award from the National Taiwan University School of Pharmacy in Taipei, Taiwan, awards as a Faculty Scholar-Minority Serving Institution Awards from the American Association for Cancer Research, and the UHCOP Faculty Service Excellence Award. In 2016, she was inducted as a Fellow of the National Academy of Inventors at the U.S. Patent & Trademark Office headquarters in Washington, D.C. She is a demure woman who is hesitant to boast of her awards, but pursuing research that has an impact on patients’ lives has been her professional passion

    A2J Summit Collection Contributors

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    A compilation of biographies for the authors and participants in this Collection

    Curriculum Vitae

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    Curriculum Vitae of Dr. James Edward Osler I

    Criteria and Procedures for the Promotion and Tenure of Library Faculty

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    University of South Alabama College of Medicine Annual Report for 2017-2018

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    This Annual Report of the College of Medicine catalogues accomplishments of our faculty, students, residents, fellows and staff in teaching, research, scholarly and community service during the 2017-2018 fiscal year.https://jagworks.southalabama.edu/com_report/1002/thumbnail.jp

    Dr. Vish\u27 Named Outstanding Engineering Faculty of the Year

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    Electrical engineering chair and professor admired by students and colleague

    Analytical characterisation of the terahertz in-vivo nano-network in the presence of interference based on TS-OOK communication scheme

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    The envisioned dense nano-network inside the human body at terahertz (THz) frequency suffers a communication performance degradation among nano-devices. The reason for this performance limitation is not only the path loss and molecular absorption noise, but also the presence of multi-user interference and the interference caused by utilising any communication scheme, such as time spread ON—OFF keying (TS-OOK). In this paper, an interference model utilising TS-OOK as a communication scheme of the THz communication channel inside the human body has been developed and the probability distribution of signal-to-interference-plus-noise ratio (SINR) for THz communication within different human tissues, such as blood, skin, and fat, has been analyzed and presented. In addition, this paper evaluates the performance degradation by investigating the mean values of SINR under different node densities in the area and the probabilities of transmitting pulses. It results in the conclusion that the interference restrains the achievable communication distance to approximate 1 mm, and more specific range depends on the particular transmission circumstance. Results presented in this paper also show that by controlling the pulse transmission probability and node density, the system performance can be ameliorated. In particular, SINR of in vivo THz communication between the deterministic targeted transmitter and the receiver with random interfering nodes in the medium improves about 10 dB, when the node density decreases one order. The SINR increases approximate 5 and 2 dB, when the pulse transmitting probability drops from 0.5 to 0.1 and 0.9 to 0.5
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