Index Catalog // ScholarsArchive@OSU

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

Creator:: Harper, Lisa, Campbell, Jacqueline, Cannon, Steve, Carson, James, Condon, Bradford, Cooper, Laurel, Dunn, Nathan, Elsik, Christine G., Farmer, Andrew, Ficklin, Stephen P., Grant, David, Grau, Emily, Cannon, Ethalinda K. S., Herndon, Nic, Hu, Zhi-Liang, Humann, Jodi, Jaiswal, Pankaj, Jonquet, Clement, Laporte, Marie-Angelique, Larmande, Pierre, Lazo, Gerard, McCarthy, Fiona, Menda, Naama, Jung, Sook, Mungall, Christopher J., Munoz-Torres, Monica C., Naithani, Sushma, Nelson, Rex, Nesdill, Daureen, Park, Carissa, Reecy, James, Reiser, Leonore, Sanderson, Lacey-Anne, Sen, Taner Z., Poelchau, Monica, Staton, Margaret, Subramaniam, Sabarinath, Tello-Ruiz, Marcela Karey, Unda, Victor, Unni, Deepak, Wang, Liya, Ware, Doreen, Wegrzyn, Jill, Williams, Jason, Woodhouse, Margaret, Walls, Ramona, Yu, Jing, Main, Doreen, Andorf, Carson, Arnaud, Elizabeth, Berardini, Tanya Z., and Birkett, Clayton
Abstract:: The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require datamanagement plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated...
Resource Type:: Article
Full Text:: , Taner Z. Sen19, Margaret Staton10, Sabarinath Subramaniam7, Marcela Karey Tello-Ruiz25, Victor Unda3

Maize Metabolic Network Construction and Transcriptome Analysis

Creator:: Monaco, Marcela K., Sen, Taner Z., Dharmawardhana, Palitha D., Ren, Liya, Schaeffer, Mary, Naithani, Sushma, Amarasinghe, Vindhya, Thomason, Jim, Harper, Lisa, Gardiner, Jack, Cannon, Ethalinda K.S., Lawrence, Carolyn J., Ware, Doreen, and Jaiswal, Pankaj
Abstract:: A framework for understanding the synthesis and catalysis of metabolites and other biochemicals by proteins is crucial for unraveling the physiology of cells. To create such a framework for Zea mays L. subsp. mays (maize), we developed MaizeCyc, a metabolic network of enzyme catalysts, proteins, carbohydrates, lipids, amino acids, secondary...
Resource Type:: Article
Full Text:: Marcela K. Monaco, Taner Z. Sen, Palitha D. Dharmawardhana, Liya Ren, Mary Schaeffer, Sushma Naithani

Assessing the Feasibility of Utilizing UAS-Based Point Clouds for Pavement Smoothness/Roughness Quantification

Creator:: Sen, Fatih
Abstract:: Transportation agencies continuously strive to improve driving quality and highway safety, which are both highly correlated with the level of smoothness of the road. The International Roughness Index (IRI) is a widely adopted, standardized metric calculated from longitudinal profile data collected on the road. Inertial profilers are devices mounted to...
Resource Type:: Masters Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Fatih Sen for

Bionomics of the hop cyst nematode, Heterodera humuli Filipjev, 1934 (Nematoda : Heteroderidae)

Creator:: Sen, Arun Kumar
Abstract:: The hop cyst nematode, Heterodera humuli Filipjev, 1934 was first reported from Europe in 1894, however, very little is known with respect to the biology and economic importance of this pest. Abundant material from Oregon hop yards provided an excellent opportunity to add additional details concerning the bionomics of this...
Resource Type:: Dissertation
Full Text:: Filipjev, 1934 (Nematoda : Heteroderidae) AN ABSTRACT OF THE THESIS OF ARUN KUMAR SEN for the DOCTOR OF

A method of solving nonlinear simultaneous equations without using Jacobian

Creator:: Sen, Angelina Siu-Hung
Abstract:: In this thesis some methods for solving systems of nonlinear equations are described, which do not require calculation of the Jacobian matrix. One of these methods is programmed to solve a parametrized system with possible singularities. The efficiency of this method and a modified Newton's method are compared using experimental...
Resource Type:: Masters Thesis
Full Text:: without using Jacobian AN ABSTRACT OF THE THESIS OF ANGELINA SIU-HUNG SEN for the MASTER OF SCIENCE

Learning with Limited Labeled Data in Natural Language Processing

Creator:: Obeidat, Rasha
Abstract:: The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
Resource Type:: Dissertation
Full Text:: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 4.1 Typing noise introduced by distance supervision: the mention Alen in all sen- tences are

Knowledge Base Completion Leveraging Natural Language Data

Creator:: Shahbazi, Hamed
Abstract:: Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
Resource Type:: Dissertation
Full Text:: Base Completion Leveraging Natural Language Data Abstract approved: Xiaoli Z. Fern Information about

Improving and Understanding Deep Models for Natural Language Comprehension

Creator:: Ghaeini, Reza
Abstract:: Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will ﬁrst introduce several deep models...
Resource Type:: Dissertation
Full Text:: : Improving and Understanding Deep Models for Natural Language Comprehension Abstract approved: Xiaoli Z

The higher classification of the Hesperiidae (Lepidoptera: Hesperioidea)

Creator:: Warren, Andrew D.
Abstract:: A comprehensive tribal-level classification for the world's subfamilies of Hesperiidae, the skipper butterflies, is proposed for the first time. Phylogenetic relationships between tribes and subfamilies are inferred using DNA sequence data from three gene regions: 943 bp of cytochrome oxidase subunit I (COI) (in the mitochondrial genome), 739 bp of...
Resource Type:: Dissertation
Full Text:: Classification of the Hesperiidae (Lepidoptera: Hesperioidea) Abstract approved: Andrew V. Z. Brower A

Morphodynamics of 3D Migrating Cancer Cells

Creator:: Eddy, Christopher Z.
Abstract:: At the intersection of basic science research and clinical relevance, cancer metastasis and cell invasion is a multifaceted problem that has been investigated for the past several decades. Importantly, cancer cell plasticity, the ability of a single cell to change its phenotype without genetic mutations in response to environmental cues,...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Christopher Z. Eddy for

ScholarsArchive@OSU

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture

Maize Metabolic Network Construction and Transcriptome Analysis

Assessing the Feasibility of Utilizing UAS-Based Point Clouds for Pavement Smoothness/Roughness Quantification

Bionomics of the hop cyst nematode, Heterodera humuli Filipjev, 1934 (Nematoda : Heteroderidae)

A method of solving nonlinear simultaneous equations without using Jacobian

Learning with Limited Labeled Data in Natural Language Processing

Knowledge Base Completion Leveraging Natural Language Data

Improving and Understanding Deep Models for Natural Language Comprehension

The higher classification of the Hesperiidae (Lepidoptera: Hesperioidea)

Morphodynamics of 3D Migrating Cancer Cells

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