32,188 research outputs found
DNA Immunization for HIV Vaccine Development
No full textDNA vaccination has been studied in the last 20 years for HIV vaccine research. Significant experience has been accumulated in vector design, antigen optimization, delivery approaches and the use of DNA immunization as part of a prime-boost HIV vaccination strategy. Key historical data and future outlook are presented. With better understanding on the potential of DNA immunization and recent progress in HIV vaccine research, it is anticipated that DNA immunization will play a more significant role in the future of HIV vaccine development
Chen Chen, 42nd Annual ODU Literary Festival
No full textChen Chen is the author of When I Grow Up I Want to Be a List of Further Possibilities (BOA Editions, 2017), which was long-listed for the National Book Award and won the Thom Gunn Award, among other honors. Bloodaxe Books published a UK edition in June. He is also the author of four chapbooks, most recently You MUST Use the Word Smoothie (Sundress Publications, 2019) and Gesundheit! (in collaboration with Sam Herschel Wein and forthcoming from Glass Poetry Press, fall 2019). His work appears in many publications, including Poem-a-Day, The Massachusetts Review, The Best American Poetry, and The Best American Nonrequired Reading. He has received a Pushcart Prize and fellowships from Kundiman and the National Endowment for the Arts. He holds an MFA from Syracuse University and a PhD from Texas Tech University. He teaches at Brandeis University as the Jacob Ziskind Poet-in-Residence and co-runs the journal, Underblong. He lives in Waltham, Massachusetts, with his partner, Jeff Gilbert, and their pug, Mr. Rupert Gile
Lecture 1: The power of nonconvex optimization in solving random quadratic systems of equations
No full textPresented on August 28, 2019 at 11:00 a.m. in the Groseclose Building, Room 402.Yuxin Chen is an Assistant Professor of Electrical Engineering at Princeton University. His research interests include high-dimensional estimation, machine learning, convex and nonconvex optimization, information theory, statistics, statistical signal processing, network science, and their applications in medical imaging and computational biology.Runtime: 56:28 minutesWe consider the fundamental problem of solving random quadratic systems of equations in n variables, which spans many applications ranging from the century-old phase retrieval problem to various latent-variable models in machine learning. A growing body of recent work has demonstrated the effectiveness of convex relaxation --- in particular, semidefinite programming --- for solving problems of this kind. However, the computational cost of such convex paradigms is often unsatisfactory, which limits applicability to large-dimensional data.
This talk follows another route: by formulating the problem into nonconvex programs, we attempt to optimize the nonconvex objectives directly. We demonstrate that for certain unstructured models of quadratic systems, nonconvex optimization algorithms return the correct solution in linear time, as soon as the ratio between the number of equations and unknowns exceeds a fixed numerical constant. We extend the theory to deal with noisy systems, and prove that our algorithms achieve a minimax optimal statistical accuracy. Numerical evidence suggests that the computational cost of our algorithm is about four times that of solving a least-squares problem of the same size.
This is joint work with Emmanuel Candes
Serum neutralizing activities from a Beijing homosexual male cohort infected with different subtypes of HIV-1 in China
No full textProtective antibodies play a critical role in an effective HIV vaccine; however, eliciting antibodies to block infection by viruses from diverse genetic subtypes remains a major challenge. As the world's most populous country, China has been under the threat of at least three major subtypes of circulating HIV-1 viruses. Understanding the cross reactivity and specificities of serum antibody responses that mediate broad neutralization of the virus in HIV-1 infected Chinese patients will provide valuable information for the design of vaccines to prevent HIV-1 transmission in China. Sera from a cohort of homosexual men, who have been managed by a major HIV clinical center in Beijing, China, were analyzed for cross-sectional neutralizing activities against pseudotyped viruses expressing Env antigens of the major subtype viruses (AE, BC and B subtypes) circulating in China. Neutralizing activities in infected patients' blood were most capable of neutralizing viruses in the homologous subtype; however, a subset of blood samples was able to achieve broad neutralizing activities across different subtypes. Such cross neutralizing activity took 1-2 years to develop and CD4 binding site antibodies were critical components in these blood samples. Our study confirmed the presence of broadly neutralizing sera in China's HIV-1 patient population. Understanding the specificity and breadth of these neutralizing activities can guide efforts for the development of HIV vaccines against major HIV-1 viruses in China
Supporting data used in the paper: Xi Chen, 2020, The LMARS based shallow-water dynamical core on generic gnomonic cubed-sphere geometry
No full text# Simulation results of the unstaggered shallow water model
This repository contains the supporting data used in the paper: Xi Chen, 2020, The LMARS based shallow‐water dynamical core on generic gnomonic cubed‐sphere geometry, DOI: 10.1029/2020MS002280
Organization of the repository:
The tar archive with this data submission has a:
doc directory contains a README.md with information regarding naming conventions to label the model configurations for a shallow water test simulation. Additional information can also be found in README.md. Table 4 in the paper provides additional details.
The data directory contains the supporting data files (NetCDF format).Disclaimer: "This was prepared by Xi Chen under award NA18OAR4320123 from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration, or the U.S. Department of Commerce.
Artimpaza brevilineata Tian & Chen, 2012 in Tian, Chen & Li 2012
No full textArtimpaza brevilineata Tian & Chen, 2012 in Tian, Chen & Li, 2012: 43, figs. 1–9. (Figs. 28a, b) Type locality: China, Yunnan, Pu’er City, Yutang. Gender: female. Date collected: 2011.V.25 (2010.V.25, in the original description, is incorrect). Collector: Li-Chao TIAN & Gui-Qiang HUANG. Paratypes: 1 female, China, Yunnan, Lincang City, 1980.VI.1, Fen LIU leg. Remarks: In the original description, the type locality is “ Yunnan, Jinghong” while it is “ Yunnan, Yutang” according to the label. “Yutang” is actually in Pu’er, not Jinghong. The first author described the type locality by mistake. In the original description, the collector was only listed as Li-Chao TIAN, which was a mistake.Published as part of Li, Zhu & Chen, Li, 2020, Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU), pp. 25-46 in Zootaxa 4718 (1) on page 33, DOI: 10.11646/zootaxa.4718.1.2, http://zenodo.org/record/360220
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