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Articles 31 - 43 of 43
Full-Text Articles in Physical Sciences and Mathematics
Time Will Tell : Temporal Reasoning In Clinical Narratives And Beyond, Weiyi Sun
Time Will Tell : Temporal Reasoning In Clinical Narratives And Beyond, Weiyi Sun
Legacy Theses & Dissertations (2009 - 2024)
Temporal reasoning in natural language refers to the extraction and understanding of time-related information conveyed in free text. A clinical narrative temporal reasoning component can enable a spectrum of medical natural language processing (NLP) applications that directly improve patient care documentation efficiency, accessibility and accountability. This dissertation contributes in three subtasks under temporal reasoning: temporal annotation, temporal expression extraction and temporal relation inferences. The temporal annotation work described in the dissertation produced one of the first publicly available clinical narratives. We published one of the first sets of temporal
Exploratory Study Of Student Instructional Choice In Online Learning, Andrew Hurd
Exploratory Study Of Student Instructional Choice In Online Learning, Andrew Hurd
Legacy Theses & Dissertations (2009 - 2024)
This exploratory study considers choice theory, decision theory, and the constructivist theory of education to explore college-level computer science learners' behavior when presented with multiple instructional modes (instructional methods for the presentation of course content, such as video, text, audio, animation, etc.) in an online learning environment.
A Stochastic Volatility Model With Leverage Effect And Regime Switching, Hong Jiang
A Stochastic Volatility Model With Leverage Effect And Regime Switching, Hong Jiang
Legacy Theses & Dissertations (2009 - 2024)
Modeling the volatility of asset returns is a very important study in financial economics. Among the time-varying volatility models, the Stochastic Volatility (SV) models are argued to have advantages over the autoregressive conditional heteroskedasticity (ARCH) models. The purpose of this article is to put forward a generalized and flexible Stochastic Volatility model, the Stochastic Volatility Model with Leverage Effect and Regime Switching (SVLR model), which could capture the complex features of financial time series to the most extent.
A Study Of Habitat Selection By Blanding's Turtles (Emydoidea Blandingii) In Dutchess County, New York, Shannon Rauch
A Study Of Habitat Selection By Blanding's Turtles (Emydoidea Blandingii) In Dutchess County, New York, Shannon Rauch
Legacy Theses & Dissertations (2009 - 2024)
The Blanding's turtle (Emydoidea blandingii) is a New York State-listed threatened species with several disjunct populations located throughout the state. Blanding's turtles require a variety of habitat types including ponds, wetlands, vernal pools, and the surrounding uplands. Preserving these habitat complexes is necessary to ensure the persistence of Blanding's turtle populations, but this is becoming increasingly challenging in some locations due to significant development pressure. Key components of habitat protection are identifying preferred habitat types and gaining a better understanding of the variables that influence habitat selection. Previous landscape-level studies of turtles have found that land cover type, wetland type, …
Evaluating Drought In The United States Using The Emissivity Difference Vegetation Index, Hanisha Hirani
Evaluating Drought In The United States Using The Emissivity Difference Vegetation Index, Hanisha Hirani
Legacy Theses & Dissertations (2009 - 2024)
As monitoring vegetation and crops becomes increasingly important due to climate change, there arises the need for a monitoring scheme that places more weight on water availability as an indication of vegetation health and vitality. The Emissivity Difference Vegetation Index (EDVI) is the first step towards that type of monitoring scheme. With the potential for diurnal studies, there are applications towards agriculture monitoring, wildfire monitoring, and much more. EDVI is a synergetic product retrieved from microwave, visible, and infrared satellite measurements, as well as reanalysis. Since microwave measurements are more sensitive to vegetation water content, EDVI has the potential to …
Compression Of Gps Trajectory Data : Benchmarking Framework And New Approach, Jonathan Muckell
Compression Of Gps Trajectory Data : Benchmarking Framework And New Approach, Jonathan Muckell
Legacy Theses & Dissertations (2009 - 2024)
GPS-equipped mobile devices such as smart phones and in-car navigation units are collecting enormous amounts of spatial and temporal information that traces a moving object's path. The exponential increase in the amount of such trajectory data has caused three major problems. First, transmission of large amounts of data is expensive and time-consuming. Second, queries on large amounts of trajectory data require computationally expensive operations to extract useful patterns and information. Third, GPS trajectories often contain large amounts of redundant data that waste storage and cause increased disk I/O time. These issues can be addressed by algorithms that reduce the size …
Remote Sensing Of Cloud Properties Using Oxygen A-Band Spectral Measurements, Siwei Li
Remote Sensing Of Cloud Properties Using Oxygen A-Band Spectral Measurements, Siwei Li
Legacy Theses & Dissertations (2009 - 2024)
Clouds play an important role in the climate system through their radiative effects and their vital link in the hydrological cycle. Detailed knowledge of the three dimensional (3-D) distribution of cloud macrophysical and microphysical properties is crucial to properly characterize radiative forcing by clouds and to quantify the response of the climate. In this study, a multi-layer cloud detection algorithm is developed by utilizing photon path length distributions retrieved from oxygen A-band spectral measurements. Case studies from measurements at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site demonstrate that this photon path length method can detect multi-layer clouds …
The Analytic Reconciliation Of Classic Mayan Elite Pottery : Squaring Pottery Function With Form, Adornment, And Residual Contents, Jennifer Ann Loughmiller-Newman
The Analytic Reconciliation Of Classic Mayan Elite Pottery : Squaring Pottery Function With Form, Adornment, And Residual Contents, Jennifer Ann Loughmiller-Newman
Legacy Theses & Dissertations (2009 - 2024)
This dissertation presents a multidisciplinary means of determining the actual content (foodstuff, non-foodstuff, or lack of contents) of Classic Mayan (A.D. 250-900) vessels. Based on previous studies that have identified the residues of foodstuffs named in hieroglyphic texts (e.g. cacao), this study is designed to further investigate foodstuff residues in the elite vessels indicated by text or image to contain those residues, and the methods employed for residue characterization. Prior to studies utilizing residue analysis, the content of Classic Maya vessels largely had long been inferred largely by ethnographic analogy, associating specific vessel forms with specific uses based on ethnographic …
Modeling For Policy Change : A Feedback Perspective On Improving The Effectiveness Of Coastal And Marine Management, Donald David Robadue Jr.
Modeling For Policy Change : A Feedback Perspective On Improving The Effectiveness Of Coastal And Marine Management, Donald David Robadue Jr.
Legacy Theses & Dissertations (2009 - 2024)
Those advocating for effective management of the use of coastal areas and ecosystems have long aspired for an approach to governance that includes information systems with the capability to predict the end results of various courses of action, monitor the impacts of decisions and compare results with those predicted by computer models in order to suggest alterations in the actions needed if the goals are not being achieved. This dissertation draws on system dynamics modeling, content analysis and professional experience to explore four decades of experience in the United States as well as international cases to reveal lessons and strategies …
Toward A Policy Framework For The Design Of Economic Information Packages, Andrew Whitmore
Toward A Policy Framework For The Design Of Economic Information Packages, Andrew Whitmore
Legacy Theses & Dissertations (2009 - 2024)
The emergence of product certifications such as "organic," "fair trade" and "shade grown" has gone far to introduce non-price related product information back into the consumer decision making process thereby reducing information asymmetries and improving market outcomes. Recently, these certifications have been supplemented by the emergence of several web-based consumer decision support systems that are designed to disseminate non-price product information to consumers. Like printed product labels, these new web-based systems present the same informational cues to each consumer regardless of his or her preference for the information and they rate products with fixed weights that are not customized to …
Toward A Theory-Based Natural Language Capability In Robots And Other Embodied Agents : Evaluating Hausser's Slim Theory And Database Semantics, Robin Kowalchuk Burk
Toward A Theory-Based Natural Language Capability In Robots And Other Embodied Agents : Evaluating Hausser's Slim Theory And Database Semantics, Robin Kowalchuk Burk
Legacy Theses & Dissertations (2009 - 2024)
Computational natural language understanding and generation have been a goal of artificial intelligence since McCarthy, Minsky, Rochester and Shannon first proposed to spend the summer of 1956 studying this and related problems. Although statistical approaches dominate current natural language applications, two current research trends bring renewed focus on this goal. The nascent field of artificial general intelligence (AGI) seeks to evolve intelligent agents whose multi-subagent architectures are motivated by neuroscience insights into the modular functional structure of the brain and by cognitive science insights into human learning processes. Rapid advances in cognitive robotics also entail multi-agent software architectures that attempt …
Modeling Peer Influence And Peer Selection As Processes, Bob Edward Vasquez
Modeling Peer Influence And Peer Selection As Processes, Bob Edward Vasquez
Legacy Theses & Dissertations (2009 - 2024)
Behavioral scientists are aware of the strong and persistent correlation between peer and individual behavior. Evidence suggests selection and socialization effects explain the correlation, but the processes, or the details of the ways in which these effects operate in an empirical model, remain relatively unexamined.
Computer Science: A Guide To Selected Resources On The Internet., Michael Knee
Computer Science: A Guide To Selected Resources On The Internet., Michael Knee
University Libraries Faculty Scholarship
No abstract provided.