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2021

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Articles 195601 - 195630 of 195842

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Ossabow Island Chronology, Ossabaw Island Foundation. Jan 2021

Ossabow Island Chronology, Ossabaw Island Foundation.

Guarding Ossabaw Island: History and Archaeology of the 47th N.Y.V.I. Camp

A chronology on the history of Ossabaw Island by the Ossabaw Island Foundation.

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The Ethiopian Staple Food Crop Enset (Ensete Ventricosum) Assessed For The First Time For Resistance Against The Root-Lesion Nematode Pratylenchus Goodeyi, Selamawit A. Kidane, Beira H. Meressa, Solveig Haukeland, Anne Kathrine Hvoslef-Eide, Danny L. Coyne Jan 2021

The Ethiopian Staple Food Crop Enset (Ensete Ventricosum) Assessed For The First Time For Resistance Against The Root-Lesion Nematode Pratylenchus Goodeyi, Selamawit A. Kidane, Beira H. Meressa, Solveig Haukeland, Anne Kathrine Hvoslef-Eide, Danny L. Coyne

All Peer-Reviewed Publications

Summary – Pratylenchus goodeyi appears to be the most prevalent nematode pest of enset in Ethiopia, where it can occur in extremely high densities. However, the damage to yield or how different enset cultivars react to the nematode has yet to be determined. The current study therefore sought to establish a first assessment of these reactions by enset to P. goodeyi infection. Determining pest-resistant cultivars is an important task in developing management strategies. Our study evaluated nine enset cultivars to establish host response and identify potential sources of resistance. In addition, the pathogenicity of P. goodeyi was assessed on three …

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Precursor B- Cell Lymphoblastic Lymphoma, Saloni Goyal Do, Chun Siu Do, Robert V. Decker Md, Mini G. Abraham Md, Rayna Abraham, Savitri Skandan Md Jan 2021

Precursor B- Cell Lymphoblastic Lymphoma, Saloni Goyal Do, Chun Siu Do, Robert V. Decker Md, Mini G. Abraham Md, Rayna Abraham, Savitri Skandan Md

Department of Medicine

No abstract provided.

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Radical Rattlers: A Narrative Of Latino Students At St. Mary’S University In The 1960’S, Edgar Velazquez Reynald Jan 2021

Radical Rattlers: A Narrative Of Latino Students At St. Mary’S University In The 1960’S, Edgar Velazquez Reynald

Capstone Projects

In the 1960s, St. Mary’s University saw an increase in Latino enrollment and a shift in student political attitudes from confidence in established politics in the early 1960s to radical activism at the end of the decade. The transition occurred as students engaged with the Civil Rights movement and then the Chicano movement. St. Mary’s distanced itself from radical forms of protest, as best exemplified by the formation off campus of the Mexican American Youth Organization (MAYO) off campus, arguably the lynchpin of the Chicano movement in San Antonio. Attempting a reconciliation, St. Mary’s declared the 1969-1970 school year The …

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Filmcasters, Antonio Coffee Jan 2021

Filmcasters, Antonio Coffee

Capstone Projects

In this project I cohost a podcast with Nicolas McKay and Christopher de La Rosa about movies and history. We are exploring what we can learn from movies and providing another way for the public to engage with history. Throughout our first eight episodes we have analyzed seven different movies and had one interview with a historian doing working with similar themes. Through these first seven episodes we have been able to talk about the Texas Borderlands, the history of Broadway, the Cold War, P. T. Barnum, Japanese response to nuclear testing, Hollywood censorship laws, and Rudyard Kipling. While exploring …

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The Cobalt Oral History Project:Reflections On A Near-Century Of Archaeology, Glory Turnbull Jan 2021

The Cobalt Oral History Project:Reflections On A Near-Century Of Archaeology, Glory Turnbull

Capstone Projects

The CoBALT (Coastal Bend Archaeological Logistics Team) Oral History Project is a series of interviews conducted by Glory Turnbull featuring CoBALT members Bill Birmingham, Ben McReynolds, Frank Condron, Jud Austin, and Rickey Ramseur. CoBALT is a group of citizen archaeologists that protect archaeological sites and excavate in the Coastal Bend of Texas, primarily in the town of Victoria. CoBALT’s history is previously unrecorded, but features heavily in these interviews, in addition to information about Coastal Bend archaeology from the 1950s to present. The members of CoBALT have excavated, surveyed, or collected at nearly all of the archaeological sites in Victoria …

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Development Of A Unique Screening Tool For Acute Care Occupational Therapy Services In Patients Following Total Joint Replacement Surgery, Stephanie Hack Pt, Dpt, Stacy Wentz Ms, Otr/L Jan 2021

Development Of A Unique Screening Tool For Acute Care Occupational Therapy Services In Patients Following Total Joint Replacement Surgery, Stephanie Hack Pt, Dpt, Stacy Wentz Ms, Otr/L

Department of Medicine

No abstract provided.

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Journal Of Ecology 2021 Global Rainfall-Seagrass Resilience-Swan River, Chanelle L. Webster, Kathryn M. Mcmahon, Paul S. Lavery, Simone Strydom, Marta Sánchez Alarcón, Kieryn L. Kilminster, Katherine Bennet, Sian Mcnamara Jan 2021

Journal Of Ecology 2021 Global Rainfall-Seagrass Resilience-Swan River, Chanelle L. Webster, Kathryn M. Mcmahon, Paul S. Lavery, Simone Strydom, Marta Sánchez Alarcón, Kieryn L. Kilminster, Katherine Bennet, Sian Mcnamara

Research Datasets

The excel file contains: summary of daily maximum precipitation from global rainfall analysis, monthly change in seagrass indicators (biomass, leaf density etc); water quality data including salinity, temperature and light data. There are also .nc files containing precipitation data from 1979-2019.

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Supplementary Table 11: Regional Zotu Table (Data As Relative Abundances), Charlie M. Phelps, Kathryn Mcmahon, Andrew Bissett, Rachele Bernasconi, Peter D. Steinberg, Torsten Thomas, Ezequiel M. Marzinelli, Megan J. Huggett Jan 2021

Supplementary Table 11: Regional Zotu Table (Data As Relative Abundances), Charlie M. Phelps, Kathryn Mcmahon, Andrew Bissett, Rachele Bernasconi, Peter D. Steinberg, Torsten Thomas, Ezequiel M. Marzinelli, Megan J. Huggett

Research Datasets

This zOTU table is the relative abundances for the whole regional (combined WA and NSW) dataset.

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The Impact Of Voluntariness Of Apologies On Victims’ Responses In Restorative Justice: Findings Of A Quantitative Study, Alfred Allan, Justine De Mott, Isolde Larkins, Laura Turnbull, Tracey Warwick, Lacey Willett, Maria M. Allan Jan 2021

The Impact Of Voluntariness Of Apologies On Victims’ Responses In Restorative Justice: Findings Of A Quantitative Study, Alfred Allan, Justine De Mott, Isolde Larkins, Laura Turnbull, Tracey Warwick, Lacey Willett, Maria M. Allan

Research Datasets

Combined data of three studies (N=164; 121 and 236 respectively) that investigated whether the voluntariness of apologies influenced recipients’ perception of the sincerity of apologies; acceptance of apologies; willingness to forgive offenders; and intended retributive behavior towards offenders.

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Kissing, Grabbing And Grinding: Young Australians’ Personal And Social Norms Regarding Nightlife Sex, Aimee-Rose Wrightson-Hester, Alfred Allan, Maria M. Allan Jan 2021

Kissing, Grabbing And Grinding: Young Australians’ Personal And Social Norms Regarding Nightlife Sex, Aimee-Rose Wrightson-Hester, Alfred Allan, Maria M. Allan

Research Datasets

Excel spreadsheet with responses from 117 women and 80 men. Participants provided descriptive, personal and injunctive norm ratings for three sexual behaviours that commonly occur in nightlife settings. Key provided in excel file.

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Data Supporting Development And Validation Of Liquid Chromatography Tandem Mass Spectrometry Method For The Quantitative Determination Of Bile Acids In Feces, Armaghan Shafaei, Joanna Rees, Claus Christophersen, Amanda Devine, David Broadhurst, Mary C. Boyce Jan 2021

Data Supporting Development And Validation Of Liquid Chromatography Tandem Mass Spectrometry Method For The Quantitative Determination Of Bile Acids In Feces, Armaghan Shafaei, Joanna Rees, Claus Christophersen, Amanda Devine, David Broadhurst, Mary C. Boyce

Research Datasets

The data presented here support the optimization of feces sample extraction for sensitive quantification of bile acids in human feces using LC-MS/MS. The dataset includes: Comparison between recovery of bile acids from (a) dried feces, (b) dried feces spiked with deuterated internal standards prior to drying, and (c) wet feces Short-term stability data for bile acids standard solutions and fecal extracts containing bile acids after 24 h storage at room temperature and at 6°C, Data for multiple freeze-thaw cycles on bile acids recovery in both standard solutions and fecal samples, Bile acids recovery from cold and warm extractions data.

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Act45+: Work Accommodations For Older Workers Aged 45 And Over, Alessia Negrini, Marc Corbière, Jessica Dubé Jan 2021

Act45+: Work Accommodations For Older Workers Aged 45 And Over, Alessia Negrini, Marc Corbière, Jessica Dubé

Fiches

No abstract provided.

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Attitudes And Knowledge Of Autism Spectrum Disorder Among Australian Undergraduate Psychology Students, Tiffany Williamson Jan 2021

Attitudes And Knowledge Of Autism Spectrum Disorder Among Australian Undergraduate Psychology Students, Tiffany Williamson

Research Datasets

Autism Spectrum Disorder (ASD) has generated much research interest in recent times due to a soaring increase in diagnosis rates and a movement to recognise ASD as a cognitive style, rather than a cognitive deficit. Psychologists are responsible for the timely and accurate diagnosis of ASD and supporting clients on the spectrum with general mental health care. Undergraduate psychology students may go on to further study to become registered psychologists or choose to pursue other careers in mental health care and support work in which they will likely have contact with members of the autistic community. However, little research into …

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Breeding And Feeding Habitat Selection By An Island Endemic Bird May Increase Its Vulnerability To Climate Change, Paul Radley, Eddie Van Etten, David Blake, Robert Davis Jan 2021

Breeding And Feeding Habitat Selection By An Island Endemic Bird May Increase Its Vulnerability To Climate Change, Paul Radley, Eddie Van Etten, David Blake, Robert Davis

Research Datasets

Characterising patterns of habitat use is an important first step for effective conservation planning. Species restricted to low-lying islands are at greatest risk from climate change-related sea level rise, and requirements for breeding and foraging habitat may determine their risk from tidal inundation. The endangered Micronesian Scrubfowl (Megapodius laperouse senex) is a model species for understanding these impacts. This species faces the cumulative challenges of tourist visitation, invasive species, and rising sea levels, yet little is understood about its habitat use in the Rock Islands Southern Lagoon Conservation Area (RISL) of Palau. We studied the habitat requirements of …

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Fmri Feature Extraction Model For Adhd Classification Using Convolutional Neural Network, Senuri De Silva, Sanuwani Udara Dayarathna, Gangani Ariyarathne, Dulani Meedeniya, Sampath Jayarathna Jan 2021

Fmri Feature Extraction Model For Adhd Classification Using Convolutional Neural Network, Senuri De Silva, Sanuwani Udara Dayarathna, Gangani Ariyarathne, Dulani Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

Biomedical intelligence provides a predictive mechanism for the automatic diagnosis of diseases and disorders. With the advancements of computational biology, neuroimaging techniques have been used extensively in clinical data analysis. Attention deficit hyperactivity disorder (ADHD) is a psychiatric disorder, with the symptomology of inattention, impulsivity, and hyperactivity, in which early diagnosis is crucial to prevent unwelcome outcomes. This study addresses ADHD identification using functional magnetic resonance imaging (fMRI) data for the resting state brain by evaluating multiple feature extraction methods. The features of seed-based correlation (SBC), fractional amplitude of low-frequency fluctuation (fALFF), and regional homogeneity (ReHo) are comparatively applied to …

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Automated Filtering Of Eye Movements Using Dynamic Aoi In Multiple Granularity Levels, Gavindya Jayawardena, Sampath Jayarathna Jan 2021

Automated Filtering Of Eye Movements Using Dynamic Aoi In Multiple Granularity Levels, Gavindya Jayawardena, Sampath Jayarathna

Computer Science Faculty Publications

Eye-tracking experiments involve areas of interest (AOIs) for the analysis of eye gaze data. While there are tools to delineate AOIs to extract eye movement data, they may require users to manually draw boundaries of AOIs on eye tracking stimuli or use markers to define AOIs. This paper introduces two novel techniques to dynamically filter eye movement data from AOIs for the analysis of eye metrics from multiple levels of granularity. The authors incorporate pre-trained object detectors and object instance segmentation models for offline detection of dynamic AOIs in video streams. This research presents the implementation and evaluation of object …

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De Novo Prediction Of Drug–Target Interactions Using Laplacian Regularized Schatten P-Norm Minimization, Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang Jan 2021

De Novo Prediction Of Drug–Target Interactions Using Laplacian Regularized Schatten P-Norm Minimization, Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

In pharmaceutical sciences, a crucial step of the drug discovery is the identification of drug–target interactions (DTIs). However, only a small portion of the DTIs have been experimentally validated. Moreover, it is an extremely laborious, expensive, and time-consuming procedure to capture new interactions between drugs and targets through traditional biochemical experiments. Therefore, designing computational methods for predicting potential interactions to guide the experimental verification is of practical significance, especially for de novo situation. In this article, we propose a new algorithm, namely Laplacian regularized Schatten p-norm minimization (LRSpNM), to predict potential target proteins for novel drugs and potential drugs for …

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A Survey Of Enabling Technologies For Smart Communities, Amna Iqbal, Stephan Olariu Jan 2021

A Survey Of Enabling Technologies For Smart Communities, Amna Iqbal, Stephan Olariu

Computer Science Faculty Publications

In 2016, the Japanese Government publicized an initiative and a call to action for the implementation of a "Super Smart Society" announced as Society 5.0. The stated goal of Society 5.0 is to meet the various needs of the members of society through the provisioning of goods and services to those who require them, when they are required and in the amount required, thus enabling the citizens to live an active and comfortable life. In spite of its genuine appeal, details of a feasible path to Society 5.0 are conspicuously missing. The first main goal of this survey is to …

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Vehicular Crowdsourcing For Congestion Support In Smart Cities, Stephan Olariu Jan 2021

Vehicular Crowdsourcing For Congestion Support In Smart Cities, Stephan Olariu

Computer Science Faculty Publications

Under present-day practices, the vehicles on our roadways and city streets are mere spectators that witness traffic-related events without being able to participate in the mitigation of their effect. This paper lays the theoretical foundations of a framework for harnessing the on-board computational resources in vehicles stuck in urban congestion in order to assist transportation agencies with preventing or dissipating congestion through large-scale signal re-timing. Our framework is called VACCS: Vehicular Crowdsourcing for Congestion Support in Smart Cities. What makes this framework unique is that we suggest that in such situations the vehicles have the potential to cooperate with various …

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Smart Parking Systems: Reviewing The Literature, Architecture And Ways Forward, Can Biyik, Zaheer Allam, Gabriele Pieri, Davide Moroni, Muftah O' Fraifer, Eoin O' Connell, Stephan Olariu, Muhammad Khalid Jan 2021

Smart Parking Systems: Reviewing The Literature, Architecture And Ways Forward, Can Biyik, Zaheer Allam, Gabriele Pieri, Davide Moroni, Muftah O' Fraifer, Eoin O' Connell, Stephan Olariu, Muhammad Khalid

Computer Science Faculty Publications

The Internet of Things (IoT) has come of age, and complex solutions can now be implemented seamlessly within urban governance and management frameworks and processes. For cities, growing rates of car ownership are rendering parking availability a challenge and lowering the quality of life through increased carbon emissions. The development of smart parking solutions is thus necessary to reduce the time spent looking for parking and to reduce greenhouse gas emissions. The principal role of this research paper is to analyze smart parking solutions from a technical perspective, underlining the systems and sensors that are available, as documented in the …

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Large Scale Subject Category Classification Of Scholarly Papers With Deep Attentive Neural Networks, Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles Jan 2021

Large Scale Subject Category Classification Of Scholarly Papers With Deep Attentive Neural Networks, Bharath Kandimalla, Shaurya Rohatgi, Jian Wu, C. Lee Giles

Computer Science Faculty Publications

Subject categories of scholarly papers generally refer to the knowledge domain(s) to which the papers belong, examples being computer science or physics. Subject category classification is a prerequisite for bibliometric studies, organizing scientific publications for domain knowledge extraction, and facilitating faceted searches for digital library search engines. Unfortunately, many academic papers do not have such information as part of their metadata. Most existing methods for solving this task focus on unsupervised learning that often relies on citation networks. However, a complete list of papers citing the current paper may not be readily available. In particular, new papers that have few …

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Understanding The Impact Of Encrypted Dns On Internet Censorship, Lin Jin, Shuai Hao, Haining Wang, Chase Cotton Jan 2021

Understanding The Impact Of Encrypted Dns On Internet Censorship, Lin Jin, Shuai Hao, Haining Wang, Chase Cotton

Computer Science Faculty Publications

DNS traffic is transmitted in plaintext, resulting in privacy leakage. To combat this problem, secure protocols have been used to encrypt DNS messages. Existing studies have investigated the performance overhead and privacy benefits of encrypted DNS communications, yet little has been done from the perspective of censorship. In this paper, we study the impact of the encrypted DNS on Internet censorship in two aspects. On one hand, we explore the severity of DNS manipulation, which could be leveraged for Internet censorship, given the use of encrypted DNS resolvers. In particular, we perform 7.4 million DNS lookup measurements on 3,813 DoT …

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Ranked List Fusion And Re-Ranking With Pre-Trained Transformers For Arqmath Lab, Shaurya Rohatgi, Jian Wu, C. Lee Giles Jan 2021

Ranked List Fusion And Re-Ranking With Pre-Trained Transformers For Arqmath Lab, Shaurya Rohatgi, Jian Wu, C. Lee Giles

Computer Science Faculty Publications

This paper elaborates on our submission to the ARQMath track at CLEF 2021. For our submission this year we use a collection of methods to retrieve and re-rank the answers in Math Stack Exchange in addition to our two-stage model which was comparable to the best model last year in terms of NDCG’. We also provide a detailed analysis of what the transformers are learning and why is it hard to train a math language model using transformers. This year’s submission to Task-1 includes summarizing long question-answer pairs to augment and index documents, using byte-pair encoding to tokenize formula and …

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Parallel Anisotropic Unstructured Grid Adaptation, Christos Tsolakis, Nikos Chrisochoides, Michael A. Park, Adrien Loseille, Todd Michal Jan 2021

Parallel Anisotropic Unstructured Grid Adaptation, Christos Tsolakis, Nikos Chrisochoides, Michael A. Park, Adrien Loseille, Todd Michal

Computer Science Faculty Publications

Computational fluid dynamics (CFD) has become critical to the design and analysis of aerospace vehicles. Parallel grid adaptation that resolves multiple scales with anisotropy is identified as one of the challenges in the CFD Vision 2030 Study to increase the capacity and capability of CFD simulation. The study also cautions that computer architectures are undergoing a radical change, and dramatic increases in algorithm concurrency will be required to exploit full performance. This paper reviews four different methods to parallel anisotropic grid adaptation. They cover both ends of the spectrum: 1) using existing state-of-the-art software optimized for a single core and …

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Combining Cryo-Em Density Map And Residue Contact For Protein Secondary Structure Topologies, Maytha Alshammari, Jing He Jan 2021

Combining Cryo-Em Density Map And Residue Contact For Protein Secondary Structure Topologies, Maytha Alshammari, Jing He

Computer Science Faculty Publications

Although atomic structures have been determined directly from cryo-EM density maps with high resolutions, current structure determination methods for medium resolution (5 to 10 Å) cryo-EM maps are limited by the availability of structure templates. Secondary structure traces are lines detected from a cryo-EM density map for α-helices and β-strands of a protein. A topology of secondary structures defines the mapping between a set of sequence segments and a set of traces of secondary structures in three-dimensional space. In order to enhance accuracy in ranking secondary structure topologies, we explored a method that combines three sources of information: a set …

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See-Trend: Secure Traffic-Related Event Detection In Smart Communities, Stephan Olariu, Dimitrie C. Popescu Jan 2021

See-Trend: Secure Traffic-Related Event Detection In Smart Communities, Stephan Olariu, Dimitrie C. Popescu

Computer Science Faculty Publications

It has been widely recognized that one of the critical services provided by Smart Cities and Smart Communities is Smart Mobility. This paper lays the theoretical foundations of SEE-TREND, a system for Secure Early Traffic-Related EveNt Detection in Smart Cities and Smart Communities. SEE-TREND promotes Smart Mobility by implementing an anonymous, probabilistic collection of traffic-related data from passing vehicles. The collected data are then aggregated and used by its inference engine to build beliefs about the state of the traffic, to detect traffic trends, and to disseminate relevant traffic-related information along the roadway to help the driving public make informed …

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Adaptive Physics-Based Non-Rigid Registration For Immersive Image-Guided Neuronavigation Systems, Fotis Drakopoulos, Christos Tsolakis, Angelos Angelopoulos, Yixun Liu, Chengjun Yao, Kyriaki Rafailia Kavazidi, Nikolaos Foroglou, Andrey Fedorov, Sarah Frisken, Ron Kikinis, Alexandra Golby, Nikos Chrisochoides Jan 2021

Adaptive Physics-Based Non-Rigid Registration For Immersive Image-Guided Neuronavigation Systems, Fotis Drakopoulos, Christos Tsolakis, Angelos Angelopoulos, Yixun Liu, Chengjun Yao, Kyriaki Rafailia Kavazidi, Nikolaos Foroglou, Andrey Fedorov, Sarah Frisken, Ron Kikinis, Alexandra Golby, Nikos Chrisochoides

Computer Science Faculty Publications

Objective: In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tensor imaging can be used to facilitate a safe resection of brain tumors in eloquent areas of the brain. However, the brain deforms during surgery, particularly in the presence of tumor resection. Non-Rigid Registration (NRR) of the preoperative image data can be used to create a registered image that captures the deformation in the intraoperative image while maintaining the quality of the preoperative image. Using clinical data, this paper reports the results of a comparison of the accuracy and performance among several non-rigid registration methods for handling brain deformation. A …

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Extraction And Evaluation Of Statistical Information From Social And Behavioral Science Papers, Sree Sai Teja Lanka, Sarah Rajtmajer, Jian Wu, C. Lee Giles Jan 2021

Extraction And Evaluation Of Statistical Information From Social And Behavioral Science Papers, Sree Sai Teja Lanka, Sarah Rajtmajer, Jian Wu, C. Lee Giles

Computer Science Faculty Publications

With substantial and continuing increases in the number of published papers across the scientific literature, development of reliable approaches for automated discovery and assessment of published findings is increasingly urgent. Tools which can extract critical information from scientific papers and metadata can support representation and reasoning over existing findings, and offer insights into replicability, robustness and generalizability of specific claims. In this work, we present a pipeline for the extraction of statistical information (p-values, sample size, number of hypotheses tested) from full-text scientific documents. We validate our approach on 300 papers selected from the social and behavioral science literatures, and …

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A Tool For Segmentation Of Secondary Structures In 3d Cryo-Em Density Map Components Using Deep Convolutional Neural Networks, Yongcheng Mu, Salim Sazzed, Maytha Alshammari, Jiangwen Sun, Jing He Jan 2021

A Tool For Segmentation Of Secondary Structures In 3d Cryo-Em Density Map Components Using Deep Convolutional Neural Networks, Yongcheng Mu, Salim Sazzed, Maytha Alshammari, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Although cryo-electron microscopy (cryo-EM) has been successfully used to derive atomic structures for many proteins, it is still challenging to derive atomic structures when the resolution of cryo-EM density maps is in the medium resolution range, such as 5–10 Å. Detection of protein secondary structures, such as helices and β-sheets, from cryo-EM density maps provides constraints for deriving atomic structures from such maps. As more deep learning methodologies are being developed for solving various molecular problems, effective tools are needed for users to access them. We have developed an effective software bundle, DeepSSETracer, for the detection of protein secondary structure …

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