Current Search:  Research Repository (x) » * (x) » Thesis (x) » Rivers of America. (x)

Search results

  • CSV Spreadsheet
(1 - 6 of 6)
Evaluating Semantic Relations In Neural Word Embeddings With Biomedical And General Domain Knowledge Bases (vol 18, 65, 2018)
Title
Evaluating Semantic Relations In Neural Word Embeddings With Biomedical And General Domain Knowledge Bases (vol 18, 65, 2018).
Creator
Chen, Zhiwei, He, Zhe, Liu, Xiuwen, Bian, Jiang
Date Issued
2018-08-22
Identifier
FSU_libsubv1_wos_000442465900001, 10.1186/s12911-018-0655-1
Format
Thesis
Metrics For The Evaluation Of The Southern Ocean In Coupled Climate Models And Earth System Models
Title
Metrics For The Evaluation Of The Southern Ocean In Coupled Climate Models And Earth System Models.
Creator
Russell, Joellen L., Kamenkovich, Igor, Bitz, Cecilia, Ferrari, Raffaele, Gille, Sarah T., Goodman, Paul J., Hallberg, Robert, Johnson, Kenneth, Khazmutdinova, Karina, Marinov,...
Show moreRussell, Joellen L., Kamenkovich, Igor, Bitz, Cecilia, Ferrari, Raffaele, Gille, Sarah T., Goodman, Paul J., Hallberg, Robert, Johnson, Kenneth, Khazmutdinova, Karina, Marinov, Irina, Mazloff, Matthew, Riser, Stephen, Sarmiento, Jorge L., Speer, Kevin, Talley, Lynne D., Wanninkhof, Rik
Show less
Abstract/Description
The Southern Ocean is central to the global climate and the global carbon cycle, and to the climate's response to increasing levels of atmospheric greenhouse gases, as it ventilates a large fraction of the global ocean volume. Global coupled climate models and earth system models, however, vary widely in their simulations of the Southern Ocean and its role in, and response to, the ongoing anthropogenic trend. Due to the region's complex water-mass structure and dynamics, Southern Ocean carbon...
Show moreThe Southern Ocean is central to the global climate and the global carbon cycle, and to the climate's response to increasing levels of atmospheric greenhouse gases, as it ventilates a large fraction of the global ocean volume. Global coupled climate models and earth system models, however, vary widely in their simulations of the Southern Ocean and its role in, and response to, the ongoing anthropogenic trend. Due to the region's complex water-mass structure and dynamics, Southern Ocean carbon and heat uptake depend on a combination of winds, eddies, mixing, buoyancy fluxes, and topography. Observationally based metrics are critical for discerning processes and mechanisms, and for validating and comparing climate and earth system models. New observations and understanding have allowed for progress in the creation of observationally based data/model metrics for the Southern Ocean. Metrics presented here provide a means to assess multiple simulations relative to the best available observations and observational products. Climate models that perform better according to these metrics also better simulate the uptake of heat and carbon by the Southern Ocean. This report is not strictly an intercomparison, but rather a distillation of key metrics that can reliably quantify the "accuracy" of a simulation against observed, or at least observable, quantities. One overall goal is to recommend standardization of observationally based benchmarks that the modeling community should aspire to meet in order to reduce uncertainties in climate projections, and especially uncertainties related to oceanic heat and carbon uptake. Plain Language Summary Observationally based metrics are essential for the standardized evaluation of climate and earth system models, and for reducing the uncertainty associated with future projections by those models.
Show less
Date Issued
2018-05-01
Identifier
FSU_libsubv1_wos_000436111400001, 10.1002/2017JC013461
Format
Thesis
Binary Response Panel Data Models With Sample Selection And Self-selection
Title
Binary Response Panel Data Models With Sample Selection And Self-selection.
Creator
Semykina, Anastasia, Wooldridge, Jeffrey M.
Abstract/Description
We consider estimating binary response models on an unbalanced panel, where the outcome of the dependent variable may be missing due to nonrandom selection, or there is self-selection into a treatment. In the present paper, we first consider estimation of sample selection models and treatment effects using a fully parametric approach, where the error distribution is assumed to be normal in both primary and selection equations. Arbitrary time dependence in errors is permitted. Estimation of...
Show moreWe consider estimating binary response models on an unbalanced panel, where the outcome of the dependent variable may be missing due to nonrandom selection, or there is self-selection into a treatment. In the present paper, we first consider estimation of sample selection models and treatment effects using a fully parametric approach, where the error distribution is assumed to be normal in both primary and selection equations. Arbitrary time dependence in errors is permitted. Estimation of both coefficients and partial effects, as well as tests for selection bias, are discussed. Furthermore, we consider a semiparametric estimator of binary response panel data models with sample selection that is robust to a variety of error distributions. The estimator employs a control function approach to account for endogenous selection and permits consistent estimation of scaled coefficients and relative effects.
Show less
Date Issued
2018-03
Identifier
FSU_libsubv1_wos_000427251200002, 10.1002/jae.2592
Format
Thesis
Enriching Consumer Health Vocabulary Through Mining A Social Q&a Site
Title
Enriching Consumer Health Vocabulary Through Mining A Social Q&a Site: A Similarity-based Approach.
Creator
He, Zhe, Chen, Zhiwei, Oh, Sanghee, Hou, Jinghui, Bian, Jiang
Abstract/Description
The widely known vocabulary gap between health consumers and healthcare professionals hinders information seeking and health dialogue of consumers on end-user health applications. The Open Access and Collaborative Consumer Health Vocabulary (OAC CHV), which contains health-related terms used by lay consumers, has been created to bridge such a gap. Specifically, the OAC CHV facilitates consumers' health information retrieval by enabling consumer-facing health applications to translate between...
Show moreThe widely known vocabulary gap between health consumers and healthcare professionals hinders information seeking and health dialogue of consumers on end-user health applications. The Open Access and Collaborative Consumer Health Vocabulary (OAC CHV), which contains health-related terms used by lay consumers, has been created to bridge such a gap. Specifically, the OAC CHV facilitates consumers' health information retrieval by enabling consumer-facing health applications to translate between professional language and consumer friendly language. To keep up with the constantly evolving medical knowledge and language use, new terms need to be identified and added to the OAC CHV. User-generated content on social media, including social question and answer (social Q&A) sites, afford us an enormous opportunity in mining consumer health terms. Existing methods of identifying new consumer terms from text typically use ad-hoc lexical syntactic patterns and human review. Our study extends an existing method by extracting n-grams from a social Q&A textual corpus and representing them with a rich set of contextual and syntactic features. Using K-means clustering, our method, simiTerm, was able to identify terms that are both contextually and syntactically similar to the existing OAC CHV terms. We tested our method on social Q&A corpora on two disease domains: diabetes and cancer. Our method outperformed three baseline ranking methods. A post-hoc qualitative evaluation by human experts further validated that our method can effectively identify meaningful new consumer terms on social Q&A. (C) 2017 Elsevier Inc. All rights reserved.
Show less
Date Issued
2017-05
Identifier
FSU_libsubv1_wos_000409395900008, 10.1016/j.jbi.2017.03.016
Format
Thesis
White Sand, Black Beach
Title
White Sand, Black Beach: Civil Rights, Public Space, And Miami's Virginia Key.
Creator
Mooney, Katherine
Date Issued
2017-05
Identifier
FSU_libsubv1_wos_000401785500013
Format
Thesis
Search for Quantum Black Hole Production in Proton-Proton Collisions at sqrt(s) = 13 TeV Requiring Two High Energy Photons
Title
A Search for Quantum Black Hole Production in Proton-Proton Collisions at sqrt(s) = 13 TeV Requiring Two High Energy Photons.
Creator
Tolbert, Steven William
Abstract/Description
This thesis searches for new physics at CMS in the form of microscopic black hole production at a minimum threshold of formation of 2.0 TeV. This analysis will examine data from Run II of the LHC with center-of-mass energy sqrt(s)=13 TeV, and an integrated luminosity of 12.9 +- 0.8 fb^-1. This is the first analysis to search for microscopic black hole production with the requirement of two high pT photons in the final state. After modeling backgrounds through low jet multiplicity control...
Show moreThis thesis searches for new physics at CMS in the form of microscopic black hole production at a minimum threshold of formation of 2.0 TeV. This analysis will examine data from Run II of the LHC with center-of-mass energy sqrt(s)=13 TeV, and an integrated luminosity of 12.9 +- 0.8 fb^-1. This is the first analysis to search for microscopic black hole production with the requirement of two high pT photons in the final state. After modeling backgrounds through low jet multiplicity control regions, no statistically significant excess is found in the signal region.
Show less
Date Issued
4/28/2017
Identifier
FSU_libsubv1_scholarship_submission_1493408195
Format
Thesis