28,353 research outputs found
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
A new species of Tamiops (Rodentia, Sciuridae) from Sichuan, China
No full textLiu, Shaoying, Tang, Mingkun, Murphy, Robert W., Liu, Yinxun, Wang, Xuming, Wan, Tao, Liao, Rui, Tang, Keyi, Qing, Jiao, Chen, Shunde, Li, Song (2022): A new species of Tamiops (Rodentia, Sciuridae) from Sichuan, China. Zootaxa 5116 (3): 301-333, DOI: 10.11646/zootaxa.5116.3.
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
sj-docx-1-tpp-10.1177_20451253241243292 – Supplemental material for Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic
No full textSupplemental material, sj-docx-1-tpp-10.1177_20451253241243292 for Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic by Hui Ouyang, Lili Wu, Wenjie Yan, Keyi Si, Hongli Lv, Jingye Zhan, Jing Wang, Yanpu Jia, Zhilei Shang, Wenfang Chen and Weizhi Liu in Therapeutic Advances in Psychopharmacology</p
sj-docx-2-tpp-10.1177_20451253241243292 – Supplemental material for Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic
No full textSupplemental material, sj-docx-2-tpp-10.1177_20451253241243292 for Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic by Hui Ouyang, Lili Wu, Wenjie Yan, Keyi Si, Hongli Lv, Jingye Zhan, Jing Wang, Yanpu Jia, Zhilei Shang, Wenfang Chen and Weizhi Liu in Therapeutic Advances in Psychopharmacology</p
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Optimal experimental design for large-scale Bayesian inverse problems
No full textBayesian optimal experimental design (BOED)—including active learning, Bayesian optimization, and sensor placement—provides a probabilistic framework to maximize the expected information gain (EIG) or mutual information (MI) for uncertain parameters or quantities of interest with limited experimental data. However, evaluating the EIG remains prohibitive for largescale complex models due to the need to compute double integrals with respect to both the parameter and data distributions. In this work, we develop a fast and scalable computational framework to solve Bayesian optimal experimental design (OED) problems governed by partial differential equations (PDEs) with application to optimal sensor placement by maximizing the EIG. We (1) exploit the low-rank structure of the Jacobian of the parameter-to-observable map to extract the intrinsic low-dimensional data-informed subspace, and (2) employ a series of approximations of the EIG that reduce the number of PDE solves while retaining a high correlation with the true EIG. This allows us to propose an efficient offline–online decomposition for the optimization problem, using a new swapping greedy algorithm for both OED problems and goal-oriented linear OED problems. The offline stage dominates the cost and entails precomputing all components requiring PDE solusion. The online stage optimizes sensor placement and does not require any PDE solves. We provide a detailed error analysis with an upper bound for the approximation error in evaluating the EIG for OED and goal-oriented OED linear cases. Finally, we evaluate the EIG with a derivative-informed projected neural network (DIPNet) surrogate for parameter-to-observable maps. With this surrogate, no further PDE solves are required to solve the optimization problem. We provided an analysis of the error propagated from the DIPNet approximation to the approximation of the normalization constant and the EIG under suitable assumptions. We demonstrate the efficiency and scalability of the proposed methods for both linear inverse problems, in which one seeks to infer the initial condition for an advection–diffusion equation, and nonlinear inverse problems, in which one seeks to infer coefficients for a Poisson problem, an acoustic Helmholtz problem and an advection–diffusion–reaction problem. This dissertation is based on the following articles: A fast and scalable computational framework for large-scale and high-dimensional Bayesian optimal experimental design by Keyi Wu, Peng Chen, and Omar Ghattas [88]; An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placement by Keyi Wu, Peng Chen, and Omar Ghattas [89]; and Derivative-informed projected neural network for large-scale Bayesian optimal experimental design by Keyi Wu, Thomas O’Leary-Roseberry, Peng Chen, and Omar Ghattas [90]. This material is based upon work partially funded by DOE ASCR DE-SC0019303 and DESC0021239, DOD MURI FA9550-21-1-0084, and NSF DMS-2012453.Mathematic
Author contributions
No full textPlease browse the "Files" tag to access the appendix specifying the author - Chen Hsi Tsai's contributions to the seven papers included in the thesis
FIGURE 3 in Molecular phylogenetics and diversity of the Himalayan shrew (Soriculus nigrescens Gray, 1842) (Eulipotyphla, Soricidae) in Southwest China
No full textFIGURE 3: A: Plot showing JK values for different K values tested. The K with the highest JK value is most likely to represent the true number of clusters; B: The linear relationship between LnP(D) and the number of clusters. C: Bayesian clustering results at K = 3 from the structure analysis.Published as part of Jiang, Haijun, Fu, Changkun, Tang, Keyi, Li, Fengjun, Faiz, Abu Ul Hassan, Guo, Keji, Liu, Shaoying & Chen, Shunde, 2023, Molecular phylogenetics and diversity of the Himalayan shrew (Soriculus nigrescens Gray, 1842) (Eulipotyphla, Soricidae) in Southwest China, pp. 61-78 in Zootaxa 5263 (1) on page 66, DOI: 10.11646/zootaxa.5263.1.3, http://zenodo.org/record/779780
Ying Chen\u27s Impressions of Summer
No full textChapbook of narrative/personal poems by Ying Chen originally published by Finishing Line Press in 2013. Translated from the French by Peter Schulman, ODU Professor of French and International Studies.https://digitalcommons.odu.edu/worldlanguages_books/1016/thumbnail.jp
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