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Articles 61381 - 61410 of 302645

Full-Text Articles in Physical Sciences and Mathematics

Hydrogen-Bonded Clusters: A Study Of The Elusive Anisole-Ammonia And Anisole-Water 1:1 Complexes, John Lawrence Loman Apr 2021

Hydrogen-Bonded Clusters: A Study Of The Elusive Anisole-Ammonia And Anisole-Water 1:1 Complexes, John Lawrence Loman

Master's Theses (2009 -)

The hydrogen bond is one of the most important and versatile interactions found in most subsets of chemistry and biology. This interaction is responsible for reactions and characteristic properties of the systems in thereof. This interaction is just one of several available non-covalent interactions that can occur and over the past several decades of molecular spectroscopy studies, the definition of the hydrogen bond has become broader compared to the “classic” definition. To accurately study the hydrogen-bonding in these systems can be quite challenging due to the size and complexity of the molecules involved, as well as the other interactions that …


Auto-Grading Oct Images Diagnostic Tool For Retinal Disease Classification, Shiyu Tian Apr 2021

Auto-Grading Oct Images Diagnostic Tool For Retinal Disease Classification, Shiyu Tian

Master's Theses (2009 -)

Retinal eye disease is the most common reason for visual deterioration. Long-term management and follow-up are critical to detect the changes in symptoms. Optical Coherence Tomography (OCT) is a non-invasive diagnostic tool for diagnosing and managing various retinal eye diseases. With the increasing desire for OCT image, the clinicians are suffered from the burden of time on diagnoses and treatment. This thesis proposes an auto-grading diagnostic tool to divide the OCT image for retinal disease classification. In the tool, the classification model implements convolutional neural networks (CNNs), and the model training is based on denoised OCT images. The tool can …


Synthesis Of Composites From Cellulose, Chitosan, And Ciprofloxacin Hci Encapsulated In Sporopollenin Capsules, Mark Mitmoen Apr 2021

Synthesis Of Composites From Cellulose, Chitosan, And Ciprofloxacin Hci Encapsulated In Sporopollenin Capsules, Mark Mitmoen

Master's Theses (2009 -)

In order to be effective dressings for the treatment of infected wounds in the battlefield, it is essential that composite materials made from the biopolymers Cellulose and Chitosan contain broad-spectrum antibiotic drugs. These drugs must first be encapsulated into microcapsules in order to protect them from the manufacturing process, ensuring that they remain in a usable form in the final product. Here we demonstrate the successful encapsulation of Ciprofloxacin HCl into Sporopollenin Exine Capsules (SEC) to produce Cipro@SEC, followed by incorporation of Cipro@SEC into a polymer composite consisting of a mixture of Cellulose and Chitosan dissolved in 1-butylmethylimidazolium chloride, an …


Biochemical Analysis Of Dual T-Loop Rna Motifs That Perform Shape Recognition Of The Trna Elbow, John Aparicio Aguirre Apr 2021

Biochemical Analysis Of Dual T-Loop Rna Motifs That Perform Shape Recognition Of The Trna Elbow, John Aparicio Aguirre

Master's Theses (2009 -)

T-loops are highly abundant, structurally conserved five nucleotide motifs that facilitate long range intra- and intermolecular interactions and function to stabilize the tertiary fold of RNA. Interlocked or dual T-loop motifs provide additional thermodynamic stability and perform long-range docking of other RNA molecules. Dual T-loop RNA structures are present within the multi-turnover ribonuclease P-based ribozyme, the ribosome, and the bacterial tRNA-sensing riboswitch genetic element. In all three systems, a dual T-loop structure recognizes TYC/D-loop region of tRNA. Interestingly, sequence conservation at specific positions in the T-loops suggest a conserved interlocked RNA architecture. While X-ray crystallography provides insight into the putative …


Fact-Checking Of Claims From The English Wikipedia Using Evidence In The Wild, Aalok Sathe Apr 2021

Fact-Checking Of Claims From The English Wikipedia Using Evidence In The Wild, Aalok Sathe

Honors Theses

Automated fact checking is a task in the domain of Natural Language Processing that deals with the verification of claims using evidence. Fact checking is becoming increasingly important as large amounts of human-generated information accumulate online. In the recent past, our society has witnessed large-scale spread of disinformation via the internet that has time and again led to noticeable disruptions in the fabric of society. Fact-checking would help mitigate the spread of disinformation by allowing large magnitudes of content to be automatically evaluated for disinformation. In this work, we construe and tackle multiple subtasks of fact checking using labeled data …


Exploring Approaches To Equity In Environmental Education Access For Teens, Norah Cook Apr 2021

Exploring Approaches To Equity In Environmental Education Access For Teens, Norah Cook

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.


Examining Natural Resource Conservation: In The Classroom, Through Collaborative Conservation, And Across Public Communication Platforms, Shauni Seccombe Apr 2021

Examining Natural Resource Conservation: In The Classroom, Through Collaborative Conservation, And Across Public Communication Platforms, Shauni Seccombe

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.


Multi-Robot Coordination With Environmental Disturbances, Adem Coskun Apr 2021

Multi-Robot Coordination With Environmental Disturbances, Adem Coskun

Theses and Dissertations

Multi-robot systems are increasingly deployed in environments where they interact with humans. From the perspective of a robot, such interaction could be considered a disturbance that causes a well-planned trajectory to fail. This dissertation addresses the problem of multi-robot coordination in scenarios where the robots may experience unexpected delays in their movements.

Prior work by Čáp, Gregoire, and Frazzoli introduced a control law, called RMTRACK, which enables robots in such scenarios to execute pre-planned paths in spite of disturbances that affect the execution speed of each robot while guaranteeing that each robot can reach its goal without collisions and without …


Regularized Deep Network Learning For Multi-Label Visual Recognition, Hao Guo Apr 2021

Regularized Deep Network Learning For Multi-Label Visual Recognition, Hao Guo

Theses and Dissertations

This dissertation is focused on the task of multi-label visual recognition, a fundamental task of computer vision. It aims to tell the presence of multiple visual classes from the input image, where the visual classes, such as objects, scenes, attributes, etc., are usually defined as image labels. Due to the prosperous deep networks, this task has been widely studied and significantly improved in recent years. However, it remains a challenging task due to appearance complexity of multiple visual contents co-occurring in one image. This research explores to regularize the deep network learning for multi-label visual recognition.

First, an attention concentration …


The Rock 2021, School Of Engineering And Computer Science Apr 2021

The Rock 2021, School Of Engineering And Computer Science

The Rock

No abstract provided.


Determining The Number Of Communities In Degree-Corrected Stochastic Block Models, Shujie Ma, Liangjun Su, Yichong Zhang Apr 2021

Determining The Number Of Communities In Degree-Corrected Stochastic Block Models, Shujie Ma, Liangjun Su, Yichong Zhang

Research Collection School Of Economics

We propose to estimate the number of communities in degree-corrected stochastic block models based on a pseudo likelihood ratio. For estimation, we consider a spectral clustering together with binary segmentation method. This approach guarantees an upper bound for the pseudo likelihood ratio statistic when the model is over-fitted. We also derive its limiting distribution when the model is under-fitted. Based on these properties, we establish the consistency of our estimator for the true number of communities. Developing these theoretical properties require a mild condition on the average degree: growing at a rate faster than log(n), where n is the number …


Ecological Monitoring Program At Vims Esl : Annual Report 2020, Paige G. Ross, Richard A. Snyder Apr 2021

Ecological Monitoring Program At Vims Esl : Annual Report 2020, Paige G. Ross, Richard A. Snyder

Reports

An Ecological Monitoring Program (EMP) has been established at the Virginia Institute of Marine Science Eastern Shore Laboratory (VIMS ESL) for the coastal environment near the Wachapreague lab. The goals of the initiative are to 1) provide status and trends information to scientists who study and regulators who manage Virginia’s marine resources, 2) provide a scientific context for short-term research and grant proposals 3) provide pedagogical enrichment to educators for their classes, and 4) build capacity in staff expertise and training of interns and students at VIMS ESL.

The program formalizes and standardizes data collection for a long-term status and …


Investigation Of Trajectory And Control Designs For A Solar Sail To The Moon, Michelle Nadeau Apr 2021

Investigation Of Trajectory And Control Designs For A Solar Sail To The Moon, Michelle Nadeau

Doctoral Dissertations and Master's Theses

NASA’s Artemis program and other government and commercial projects are working toward establishing a sustainable human presence on the moon. This thesis investigates the technical feasibility of a solar sail-based spacecraft (sailcraft) as a low-cost method of delivering cargo or science instruments to the moon and demonstrates how this sailcraft could be controlled to change its orbit. The concept is a low-cost, commercial launch vehicle-deployable, CubeSat-based sailcraft with a square sail, assumed attitude control, and a small payload traversing from low-Earth orbit toward the moon with zero propellant use. In this thesis, methods for sailcraft to increase altitude, the trajectory …


Observational And Modeling Analysis Of Land-Atmosphere Interactions Over Adjacent Irrigated And Rainfed Cropland During The Grainex Field Campaign., Eric Rappin, Rezaul Mahmood, Udaysankar S. Nair, Roger A. Pielke Sr. Apr 2021

Observational And Modeling Analysis Of Land-Atmosphere Interactions Over Adjacent Irrigated And Rainfed Cropland During The Grainex Field Campaign., Eric Rappin, Rezaul Mahmood, Udaysankar S. Nair, Roger A. Pielke Sr.

School of Natural Resources: Faculty Publications

Continued scientific study has revealed that land use and land cover change play a key role in climate and that the application of irrigation is an important biogeophysical contributor to climate modification across spatial scales. The Great Plains Irrigation Experiment (GRAINEX) was conducted in the spring and summer of 2018 to investigate Land-Atmosphere interactions just prior to and through the growing season across adjacent, but distinctly unique, soil moisture regimes (contrasting irrigated and rainfed fields). GRAINEX was uniquely designed for the development and analysis of an extensive observational dataset for comprehensive process studies of Land-Atmosphere interactions, by focusing on irrigated …


Cyber Supply Chain Risk Management: Implications For The Sof Future Operating Environment, J. Philip Craiger, Laurie Lindamood-Craiger, Diane M. Zorri Apr 2021

Cyber Supply Chain Risk Management: Implications For The Sof Future Operating Environment, J. Philip Craiger, Laurie Lindamood-Craiger, Diane M. Zorri

Publications

The emerging Cyber Supply Chain Risk Management (C-SCRM) concept assists at all levels of the supply chain in managing and mitigating risks, and the authors define C-SCRM as the process of identifying, assessing, and mitigating the risks associated with the distributed and interconnected nature of information and operational technology products and service supply chains. As Special Operations Forces increasingly rely on sophisticated hardware and software products, this quick, well-researched monograph provides a detailed accounting of C-SCRM associated laws, regulations, instructions, tools, and strategies meant to mitigate vulnerabilities and risks—and how we might best manage the evolving and ever-changing array of …


Vaim For Solving Inverse Problems, Manal Almaeen, Yasir Alanazi, Michelle Kuchera, Nobuo Sato, Wally Melnitchouk, Yaohang Li Apr 2021

Vaim For Solving Inverse Problems, Manal Almaeen, Yasir Alanazi, Michelle Kuchera, Nobuo Sato, Wally Melnitchouk, Yaohang Li

College of Sciences Posters

In this work, we propose the Variational Autoencoder Inverse Mapper (VAIM) to solve inverse problems, where there is a demand to accurately restore hidden parameters from indirect observations. VAIM is an autoencoder-based neural network architecture. The encoder and decoder networks approximate the forward and backward mapping, respectively, and a variational latent layer is incorporated into VAIM to learn the posterior parameter distributions with respect to the given observables. VAIM shows promising results on several artificial inverse problems. VAIM further demonstrates preliminary effectiveness in constructing the inverse function mapping quantum correlation functions to observables in a quantum chromodynamics analysis of nucleon …


Defining The Environmental Niche Of The Two Main Clades Of Trichodesmium: A Study On The West Florida Shelf, Kristina Confesor, Corday Selden, Kimberly Powell, Angela Knapp, Kristen Buck, Laura Donahue, Dreux Chappell Apr 2021

Defining The Environmental Niche Of The Two Main Clades Of Trichodesmium: A Study On The West Florida Shelf, Kristina Confesor, Corday Selden, Kimberly Powell, Angela Knapp, Kristen Buck, Laura Donahue, Dreux Chappell

College of Sciences Posters

Dinitrogen (N2) fixation is the process of taking widely abundant but mostly biologically inaccessible N2 gas and converting it into more biologically accessible forms of the essential macronutrient nitrogen. Only a small fraction of organisms known as diazotrophs can perform biological N2 fixation. Trichodesmium is one such genus of N2-fixing marine cyanobacteria that is commonly observed in waters along the West Florida Shelf (WFS). We hypothesize that the two main Trichodesmium clades (T. erythraeum and T. thiebautii) occupy distinct environmental niches, one being more coastal and one being more oceanic. To test …


Nb3Sn Coating Of Complex Srf Cavity Structures, Jayendrika Tiskumara, Uttar Pudasaini, Grigory Eremeev, Charlie Reece, Jean Delayen Apr 2021

Nb3Sn Coating Of Complex Srf Cavity Structures, Jayendrika Tiskumara, Uttar Pudasaini, Grigory Eremeev, Charlie Reece, Jean Delayen

College of Sciences Posters

In the modern SRF research, Thin films coated niobium cavities are used for the low cost and increased quality factor. Among the potential thin film materials applied on the niobium, performances demonstrated by the Nb3Sn cavities makes this material attractive for SRF accelerator applications giving higher critical temperature and higher accelerating gradients. While the majority of research efforts are currently focused on the development of elliptical single-cell and multi-cell cavities, the potential of this material is evident to other cavity types, which may have complex geometries. We are working towards the development of Nb3Sn-coated Half-wave resonator and twin …


The Challenges Of Identifying Dangers Online And Predictors Of Victimization, Catherine D. Marcum Apr 2021

The Challenges Of Identifying Dangers Online And Predictors Of Victimization, Catherine D. Marcum

International Journal of Cybersecurity Intelligence & Cybercrime

This short paper will provide an overview of the impressive pieces included in this issue of the International Journal of Cybersecurity Intelligence and Cybercrime. This issue includes articles on the following pertinent topic, utilizing a range of approaches and methodologies: 1) online credibility; 2) cyberbullying; and 3) unauthorized access of information. An emphasis on the importance of policy development and better protection of potential victims is a common thread throughout the issue.


An Automated Framework For Connected Speech Evaluation Of Neurodegenerative Disease: A Case Study In Parkinson's Disease, Sai Bharadwaj Appakaya Apr 2021

An Automated Framework For Connected Speech Evaluation Of Neurodegenerative Disease: A Case Study In Parkinson's Disease, Sai Bharadwaj Appakaya

USF Tampa Graduate Theses and Dissertations

Neurodegenerative diseases affect millions of people around the world. The progressive degeneration worsens the symptoms, heavily impacting the quality of life of the patients as well as the caregivers. Speech production is one of the physiological processes affected by neurodegenerative diseases like Alzheimer’s disease, amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD). Speech is the most basic form of communication, and the effect of neurodegeneration degrades speech production, thereby reducing social interaction and mental well-being. PD is the second most common neurodegenerative disease affecting speech production in 90% of the diagnosed individuals. Speech analysis methods for PD in clinical methods …


Improving Failure Mode & Effect Analysis ( Fmea ) Method Using Discrete Event Simulation, Adil Abdukeyum Apr 2021

Improving Failure Mode & Effect Analysis ( Fmea ) Method Using Discrete Event Simulation, Adil Abdukeyum

Theses and Dissertations

To improve system performances and process dependability, analyzing the system accurately is an essential step but difficult to achieve and it is even more challenging if the system is complex and dynamic. A popular tool called FMEA has been widely used to analyze and improve systems. However, both academia and industry acknowledge its subjectivity and lack of cause-effect analysis capability. Therefore, in this research, the author presents a more objective and data-driven method called Discrete Event Simulation to improve FMEA’s analysis capability. Also, how the Discrete Event Simulation may enhance the FMEA by a step-by-step analysis approach is presented by …


The Salas Y Gómez And Nazca Ridges: A Review Of The Importance, Opportunities And Challenges For Protecting A Global Diversity Hotspot On The High Seas, Daniel Wagner, Liesbeth Van Der Meer, Matthias Gorny, Javier Sellanes, Carlos F. Gaymer, Eulogio H. Soto, Erin E. Easton, Alan M. Friedlander, Dhugal J. Lindsay, Tina N. Molodtsova Apr 2021

The Salas Y Gómez And Nazca Ridges: A Review Of The Importance, Opportunities And Challenges For Protecting A Global Diversity Hotspot On The High Seas, Daniel Wagner, Liesbeth Van Der Meer, Matthias Gorny, Javier Sellanes, Carlos F. Gaymer, Eulogio H. Soto, Erin E. Easton, Alan M. Friedlander, Dhugal J. Lindsay, Tina N. Molodtsova

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

The Salas y Gómez and Nazca ridges are two seamount chains of volcanic origin, which include over 110 seamounts that collectively stretch across over 2,900 km in the southeastern Pacific. Ecosystems in this region are isolated by the Atacama Trench, the Humboldt Current System, and an extreme oxygen minimum zone. This isolation has produced a unique biodiversity that is marked by one of the highest levels of marine endemism on Earth. These areas also provide important habitats and ecological stepping stones for whales, sea turtles, corals, and a multitude of other ecologically important species, including 82 species that are threatened …


Investigation Of Hurricane Irma Deposits, Big Pine Key, Florida, Youzhu Wang Apr 2021

Investigation Of Hurricane Irma Deposits, Big Pine Key, Florida, Youzhu Wang

USF Tampa Graduate Theses and Dissertations

Few paleotempestological studies have focused on coastal sinkholes, a common feature in Florida, which can receive and preserve storm overwash sediments. The major goal of this research is to improve our understanding of the characteristic signatures of storm sediments in sinkholes thereby determining reliability of these environments as proxies for hurricanes. Hurricane Irma as a Category 5 storm provides an excellent case study for characterizing storm deposits in sinkholes on Big Pine Key. I cored at four sinkholes along a 350 m transect normal to the shoreline. Core sediments were characterized using physical description, short-lived radioisotope dating, sediment grain size …


Learning And Simulation Algorithms For Constraint Physical Systems, Shuqi Yang Apr 2021

Learning And Simulation Algorithms For Constraint Physical Systems, Shuqi Yang

Dartmouth College Master’s Theses

This thesis explores two computational approaches to learn and simulate complex physical systems exhibiting constraint characteristics. The target applications encompass both solids and fluids. On the solid side, we proposed a new family of data-driven simulators to predict the behaviors of an unknown physical system by learning its underpinning constraints. We devised a neural projection operator facilitated by an embedded recursive neural network to interactively enforce the learned underpinning constraints and to predict its various physical behaviors. Our method can automatically uncover a broad range of constraints from observation point data, such as length, angle, bending, collision, boundary effects, and …


A Macro Analysis Of Illegal Hunting And Fishing Across Texas Counties: Using An Economic Structural Approach, Leo J. Genco Jr. Apr 2021

A Macro Analysis Of Illegal Hunting And Fishing Across Texas Counties: Using An Economic Structural Approach, Leo J. Genco Jr.

USF Tampa Graduate Theses and Dissertations

The purpose of this disseration is to examine the distribution of illegal hunting and fishing violations across Texas counties in respect to the economic structure. Illegal hunting plays a part in the extraction of resources that are overly withdrawn, and criminologists have ignored this form of deviancy that has large ramifications for the environment. To view this criminal phenomenon, the study uses the Treadmill of Production theory to determine economic structural factors and whether those factors explain the distribution of illegal hunting and fishing. Using regression analyses and SatScan, the findings suggested that while there are significant factors related to …


A Community Of Fear: Emotion And The Hydro-Social Cycle In East Porterville, California, Michael Egge, Idowu Ajibade Apr 2021

A Community Of Fear: Emotion And The Hydro-Social Cycle In East Porterville, California, Michael Egge, Idowu Ajibade

Geography Faculty Publications and Presentations

Broader governance challenges driving water insecurity globally are well documented in the literature, however the power-laden relationships and emotions that shape water access at the household and community levels are yet to be fully investigated, especially in the context of water consolidation projects. In this article, we examine the role of emotions in mediating access to water and in the production of resource struggles among marginalized communities, existing outside of conventional regulatory frameworks. We bring together two relational approaches – the hydro-social cycle and emotional political ecology – to examine water insecurity and how it manifests in the historically disadvantaged …


Gwtc-2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, Ligo Scientific Collaboration, Virgo Collaboration, Tiffany Z. Summerscales Apr 2021

Gwtc-2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, Ligo Scientific Collaboration, Virgo Collaboration, Tiffany Z. Summerscales

Faculty Publications

We report on gravitational-wave discoveries from compact binary coalescences detected by Advanced LIGO and Advanced Virgo in the first half of the third observing run (O3a) between 1 April 2019 15∶00 UTC and 1 October 2019 15∶00 UTC. By imposing a false-alarm-rate threshold of two per year in each of the four search pipelines that constitute our search, we present 39 candidate gravitational-wave events. At this threshold, we expect a contamination fraction of less than 10%. Of these, 26 candidate events were reported previously in near-real time through gamma-ray coordinates network notices and circulars; 13 are reported here for the …


Application Of Cycle-By-Cycle Analysis To Eeg Data From Individuals With Phelan-Mcdermid Syndrome, Naomi Miller Apr 2021

Application Of Cycle-By-Cycle Analysis To Eeg Data From Individuals With Phelan-Mcdermid Syndrome, Naomi Miller

ENGS 88 Honors Thesis (AB Students)

This study aimed to analyze a novel method of processing data from electroencephalography (EEG) recordings, which implements time-domain cycle-by-cycle analysis. This "bycycle" method, developed by the Cole & Voytek laboratory, was implemented on a EEG dataset of children with and without Phelan-McDermid Syndrome in the hopes of uncovering network-level explanations for the genetic disorder. A supplemental Python pipeline was developed to organize and visualize the data. This led to the discovery of group-level differences in measures of cycle symmetry in alpha band waves over the sensorimotor electrodes. Through the same pipeline, the bycycle tool was validated as a sound EEG …


A Review Of The Economics Of Regenerative Agriculture In Western Australia, Anne Bennett Apr 2021

A Review Of The Economics Of Regenerative Agriculture In Western Australia, Anne Bennett

All other publications

  • There is no published work detailing the economics of regenerative agriculture in Western Australia.
  • Of the work completed in other jurisdictions and nations captured in this review, the profitability of regenerative agriculture compared with conventional agriculture was variable, although generally lower.
  • The loss of income associated with the transition from conventional agriculture to regenerative agriculture is a significant barrier to adoption, although it is enterprise-sensitive.
  • Farmers who are operating regenerative agriculture systems self-report higher levels of wellbeing.
  • Conventional agriculture and regenerative agriculture are overlapping approaches.
  • The literature presented in this review is mostly based on small samples, case studies or …


A Comprehensive Mapping And Real-World Evaluation Of Multi-Object Tracking On Automated Vehicles, Alexander Bassett Apr 2021

A Comprehensive Mapping And Real-World Evaluation Of Multi-Object Tracking On Automated Vehicles, Alexander Bassett

Doctoral Dissertations and Master's Theses

Multi-Object Tracking (MOT) is a field critical to Automated Vehicle (AV) perception systems. However, it is large, complex, spans research fields, and lacks resources for integration with real sensors and implementation on AVs. Factors such those make it difficult for new researchers and practitioners to enter the field.

This thesis presents two main contributions: 1) a comprehensive mapping for the field of Multi-Object Trackers (MOTs) with a specific focus towards Automated Vehicles (AVs) and 2) a real-world evaluation of an MOT developed and tuned using COTS (Commercial Off-The-Shelf) software toolsets. The first contribution aims to give a comprehensive overview of …