Sample records for kantasuwan rashad ramzan
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KDAC8 with High Basal Velocity Is Not Activated by N-Acetylthioureas
2016-01-08
Pingali, Tasha B. Toro, Thao P. Nguyen, Destane S. Garrett, Kyra A. Dodson, Kyara A. Nichols, Rashad A. Haynes , Florastina Payton-Stewart, Terry J...Nguyen, Destane S. Garrett, Kyra A. Dodson, Kyara A. Nichols, Rashad A. Haynes , Florastina Payton-Stewart, Terry J. Watt* Department of Chemistry...13. Howitz KT, Bitterman KJ, Cohen HY, Lamming DW, Lavu S, Wood JG, et al. Small molecule activators of sirtuins extend Saccharomyces cerevisiae
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Asthma in Children: MedlinePlus Health Topic
... and Research) Treating Asthma with Inhaled Steroids (Consumers Union of U.S.) - PDF What If My Child Doesn' ... Study Helps Jeff Long Battle Illness Outrunning Asthma: Football Player Rashad Jennings Battled Childhood Asthma with Exercise ...
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ERIC Educational Resources Information Center
Griffin, De'Onn N.
2012-01-01
"During the last twenty years, the status and performance of African American males in education has been one of the most consistently researched topics" (Rashad, 2010, p. 2). This research paper reports the results from a study conducted with African American Adolescent males at a local community center. The research evaluated the…
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Outrunning Asthma - Rashad Jennings | NIH MedlinePlus the Magazine
... More MedlinePlus: Asthma National Institute of Environmental Health Sciences National Institute of Allergy and Infectious Diseases National Heart, Lung, and Blood Institute NIBIB-Supported Study NHALES Study Allergy and Asthma Foundation of America Fall 2017 Issue: Volume 12 Number ...
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Youth alcohol use and risky sexual behavior: evidence from underage drunk driving laws.
Carpenter, Christopher
2005-05-01
Recent research calls into question previous methods for estimating the relationship between alcohol use and risky sexual behavior among youths [Rashad, I., Kaestner, R., 2004. Teenage sex, drugs and alcohol use: problems identifying the cause of risky behaviors. Journal of Health Economics 23, 493-503]. This paper provides new evidence on this question by using reductions in heavy alcohol use among underage males induced by state adoption of very strict age-targeted "Zero Tolerance" drunk driving laws. I estimate reduced form models of the effects of Zero Tolerance laws on state gonorrhea rates by age group and race over the period 1981-2000, controlling for state and year fixed effects and state-specific time trends. I find that adoption of a Zero Tolerance law was associated with a significant reduction in gonorrhea rates among 15-19-year-old white males, with no effect for slightly older males age 20-24 whose drinking behavior was unaffected by the tougher policies. I find mixed effects for white females and no significant effects for blacks. While not conclusive, these results suggest an important role for alcohol use in risky sexual behavior among young men.
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DOE Office of Scientific and Technical Information (OSTI.GOV)
Solis, John Hector
In this paper, we present a modular framework for constructing a secure and efficient program obfuscation scheme. Our approach, inspired by the obfuscation with respect to oracle machines model of [4], retains an interactive online protocol with an oracle, but relaxes the original computational and storage restrictions. We argue this is reasonable given the computational resources of modern personal devices. Furthermore, we relax the information-theoretic security requirement for computational security to utilize established cryptographic primitives. With this additional flexibility we are free to explore different cryptographic buildingblocks. Our approach combines authenticated encryption with private information retrieval to construct a securemore » program obfuscation framework. We give a formal specification of our framework, based on desired functionality and security properties, and provide an example instantiation. In particular, we implement AES in Galois/Counter Mode for authenticated encryption and the Gentry-Ramzan [13]constant communication-rate private information retrieval scheme. We present our implementation results and show that non-trivial sized programs can be realized, but scalability is quickly limited by computational overhead. Finally, we include a discussion on security considerations when instantiating specific modules.« less
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Dai, Hanjun; Umarov, Ramzan; Kuwahara, Hiroyuki; Li, Yu; Song, Le; Gao, Xin
2017-11-15
An accurate characterization of transcription factor (TF)-DNA affinity landscape is crucial to a quantitative understanding of the molecular mechanisms underpinning endogenous gene regulation. While recent advances in biotechnology have brought the opportunity for building binding affinity prediction methods, the accurate characterization of TF-DNA binding affinity landscape still remains a challenging problem. Here we propose a novel sequence embedding approach for modeling the transcription factor binding affinity landscape. Our method represents DNA binding sequences as a hidden Markov model which captures both position specific information and long-range dependency in the sequence. A cornerstone of our method is a novel message passing-like embedding algorithm, called Sequence2Vec, which maps these hidden Markov models into a common nonlinear feature space and uses these embedded features to build a predictive model. Our method is a novel combination of the strength of probabilistic graphical models, feature space embedding and deep learning. We conducted comprehensive experiments on over 90 large-scale TF-DNA datasets which were measured by different high-throughput experimental technologies. Sequence2Vec outperforms alternative machine learning methods as well as the state-of-the-art binding affinity prediction methods. Our program is freely available at https://github.com/ramzan1990/sequence2vec. xin.gao@kaust.edu.sa or lsong@cc.gatech.edu. Supplementary data are available at Bioinformatics online. © The Author(s) 2017. Published by Oxford University Press.