Physical Sciences and Mathematics Commons^™

Search For A Dark Photon In Electroproduced E + E − Pairs With The Heavy Photon Search Experiment At Jlab, P. H. Adrian, N. A. Baltzell, M. Battaglieri, M. Bondí, S. Boyarinov, S. Bueltmann, G. Kalicy, H. Szumila-Vance, L. B. Weinstein, Heavy Photon Search Collaboration

Physics Faculty Publications

The Heavy Photon Search experiment took its first data in a 2015 engineering run using a 1.056 GeV, 50 nA electron beam provided by CEBAF at the Thomas Jefferson National Accelerator Facility, searching for a prompt, electroproduced dark photon with a mass between 19 and 81  MeV/c². A search for a resonance in the e⁺e⁻ invariant mass distribution, using 1.7 days (1170  nb⁻¹) of data, showed no evidence of dark photon decays above the large QED background, confirming earlier searches and demonstrating the full functionality of the experiment. Upper limits on the square …

Let's Take A Break: Analysis Of The Incubation Effect Among Students Using A Learning Game For Physics, May Marie P. Talandron-Felipe, Ma. Mercedes T. Rodrigo

Department of Information Systems & Computer Science Faculty Publications

This study continues prior work of the investigation and modeling of Incubation Effect, a phenomenon in which a momentary break helps the generation of a solution to a problem, among students using in a computer-based learning environment called Physics Playground. This paper attempts to improve the detection of IE-False by identifying notable features among instances of unsuccessful incubation by using a combination of t-SNE dimensionality reduction and x-means clustering techniques. We found that there are overlaps on some characteristics of IE-True and IE-False incidences but discovered features that do not make a break beneficial which are low success rate prior …

Development, Characterization And Application Of Multi-Detector Flow Injection Systems Based On A Serial Flow Configuration For Simultaneous Multianalyte Determination, Aisha Rashed Al Hameidi Yammahi

Chemistry Theses

Oxidase enzymes have been used successfully in the analysis of several biochemical species such as glucose, lactate, pyruvate, creatine, creatinine, amino acids, cholesterol and sialic acid, by generating - in a single or consecutive reaction -hydrogen peroxide (H₂O₂) as a signal molecule which is commonly detected amperometrically. Some approaches have been also reported to use more than one enzyme in a given system to achieve multi-analyte determination. This study aims to evaluate a novel approach for n-analyte determination based on n-enzyme reactors (each is loaded with one or more oxidase enzyme) as well as n-1 catalase immobilized …

Assessment Of Groundwater Quality In The Al Khatim And Remah Area Of The United Arab Emirates, Qasim Raza Khan

Civil and Environmental Theses

Groundwater constitutes an important part of the available water resources in arid areas. Knowledge of the quantitative and qualitative status of groundwater is a key aspect in optimal groundwater management. The chemical characteristics of groundwater in two neighboring areas (Remah and Al Khatim) have been used to identify the processes controlling groundwater chemistry in the sand aquifer of Abu Dhabi Emirate, United Arab Emirates. Furthermore, the suitability of the groundwater for agricultural purposes was assessed using a range of indices. Both areas showed elevated levels of nitrate, potassium and cadmium, indicating the impact of agricultural activities. The groundwater was found …

Development And Characterization Of A Portable Apparatus For Continuous Measurement Of Hydrogen Sulfide In Gas Streams, Bashar Yousef Abu Hattab

Chemistry Theses

A novel detection scheme for the hydrogen sulfide (H₂S) was described and patented recently by researchers at UAE University. This detection scheme and the described bench-scale analyzer offered the advantage of low-cost solution for real-time monitoring of percentile levels of H₂S with excellent signal stability. However, this previous work suffered from two major limitations, which are the relatively low sensitivity and slow response time, which mainly hindered its commercial utilization. Therefore, the aims of the present work were to enhance the detection sensitivity, decrease the response time, and develop a portable prototype of the H₂S analyzer based on the improved …

Feeding Behaviour Of The Reef Heron (Egretta Gularis Schistacea), Ahmed Abdalla Yousif Al-Ali

Biology Theses

Western Reef Heron (Egretta egularis) is a very common coastal resident bird species in the Arabian Gulf. In UAE, the subspecies “schistacea” also known as Indian Reef Heron occurs in mangroves inlets and other coastal and inland water bodies along the southern and eastern coast of the country. The present study aims to investigate the bird’s food, feeding behavior, morphs and its relationship with the habitat in Al-Zora Protected Area (Ajman - UAE) by establishing a feeding behavior ethogram and monitor its feeding frequency and its correlation with biotic and abiotic features of the study site. …

Development Of Hydroxyapatite-Polymer Sorbents For The Removal Of Heavy Metal Ions From Waste Waters, Eleanora Charnetskaya

Chemistry Theses

Water pollution due to the presence of soluble metal ions is one of the greatest challenges to environmental scientists. Different methods have been explored to the removal of these soluble ions. Among these methods, elimination by sorption into/onto solid materials has been considered one of the successful approaches. Sorbent materials usually chemically interact with soluble ions and eliminate them by bond formation between the ions and the sorbent molecules. On the other hand, soluble ions can be also exchanged with inorganic sorbents in which other environmentally friendly ions can exchange with the soluble metal ions. In the current study, the …

Healthcare Monitoring System Security Platform Using Software Defined Networking Paradigm, Mohamad Issam Khayat

Information Security Theses

This thesis studies the security and privacy concerns of Healthcare Monitoring System (HMS) and proposes a state-of-the-art Security Platform for HMS using the newly emerging Software Defined Network (SDN) paradigm. In this thesis, we investigate the existing HMS architecture and the relevant solutions proposed for both security and privacy concerns in the literature today. Moreover, we develop a new HMS Security Integration Framework, in the form of a security platform for securing HMS. Finally, we perform a comparison among existing architectures and our proposed framework to highlight the added value of our proposed architecture. Our proposed integration framework eliminates the …

Gender Differences In Identity-Based Social Influence: An Experimental Examination Of Software Piracy Behavior, Noura Eisa Jaber Al Khyeli

Information Security Theses

Software piracy is the unauthorized copying, sharing, or using the software. It can be a profitable endeavor for individuals and a tremendous loss for the industry. According to Gulf News, Software piracy losses in the Arabian Gulf states in 2015 was 897$ million (AED 3.29 billion). Therefore, it is critical to understand as much as possible about the phenomenon and investigate the factors that influence subjects’ piracy behavior. Driven by gaps in previously published literature, the study presented here is an experimental investigation into the gender differences in identity-based social influence. In essence, the study examined if males or females …

Sequestration Effect On The Open-Cyclic Switchable Property Of Warfarin Induced By Cyclodextrin: Time-Resolved Fluoresence Study, Naji Saleh Ahmed Al-Dubaili

Chemistry Theses

In this work, the photophysical properties of the fluorescent anticoagulant drug warfarin (W) were examined in water and inside methyl-β-cyclodextrins (Me-β- CD) through absorption and time-resolved fluorescence measurements at pH 3 and 9 and upon the selective excitation of different isomers of warfarin at 280 and 320 nm. The values of binding constants (2.9 × 103 M–1 and 4.2 × 102 M–1 for protonated and deprotonated forms, respectively) were extracted from the spectrophotometric data. Both absorption and time-resolved fluorescence results established that the interior of the macromolecular host binds preferentially the open protonated form, red shifts the maximum of its …

Statistical Investigation Of Road And Railway Hazardous Materials Transportation Safety, Amirfarrokh Iranitalab

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Transportation of hazardous materials (hazmat) in the United States (U.S.) constituted 22.8% of the total tonnage transported in 2012 with an estimated value of more than 2.3 billion dollars. As such, hazmat transportation is a significant economic activity in the U.S. However, hazmat transportation exposes people and environment to the infrequent but potentially severe consequences of incidents resulting in hazmat release. Trucks and trains carried 63.7% of the hazmat in the U.S. in 2012 and are the major foci of this dissertation. The main research objectives were 1) identification and quantification of the effects of different factors on occurrence and …

Investigation On The Rons And Bactericidal Effects Induced By He + O2 Cold Plasma Jets: In Open Air And In An Airtight Chamber, Han Xu, Dingxin Liu, Weitao Wang, Zhijie Liu, Li Guo, Mingzhe Rong, Michael G. Kong

Bioelectrics Publications

He + O₂ plasma jets in open air and in an airtight chamber are comparatively studied, with respect to their production of gaseous/aqueous reactive species and their antibacterial effects. Under the same discharge power, the plasma jet in open air has higher densities of gaseous reactive species and a higher concentration of aqueous H₂O₂ but lower concentrations of aqueous OH and O₂^-. In addition, the increase in the O₂ ratio in He in both plasma jets causes a linear decrease in the population of gaseous reactive species, except for O(3p⁵P) …

Spatial Factor Models For High-Dimensional And Large Spatial Data: An Application In Forest Variable Mapping, Daniel Taylor-Rodríguez, Andrew O. Finley, Abhirup Datta, Chad Babcock, Hans-Erik Andersen, Bruce D. Cook, Douglas C. Morton, Sudipto Banerjee

Mathematics and Statistics Faculty Publications and Presentations

Gathering information about forest variables is an expensive and arduous activity. As such, directly collecting the data required to produce high-resolution maps over large spatial domains is infeasible. Next generation collection initiatives of remotely sensed Light Detection and Ranging (LiDAR) data are specifically aimed at producing complete-coverage maps over large spatial domains. Given that LiDAR data and forest characteristics are often strongly correlated, it is possible to make use of the former to model, predict, and map forest variables over regions of interest. This entails dealing with the high-dimensional (∼10² ) spatially dependent LiDAR outcomes over a large number …

Mountaintop Neutrino Detection: A Nu(Tau) Concept, Caroline E. Paciaroni

Physics

High-energy neutrinos traveling from the distant universe produce detectable signals at radio frequencies after interacting with the earth or its atmosphere. This is the principle behind a new experiment, the BEamforming Elevated Array for COsmogenic Neutrinos, or BEACON. BEACON will be a high altitude array of antennas that is sensitive to up-going tau neutrinos ($\nu_{\tau}$). These elementary particles serve as sources of information about the extraordinarily high energy events in the universe that create them, and also the laws of particle physics that govern their behavior. This report details the construction of a transient detector used to characterize site locations …

Studying The Potential Of The [Oii] Emission Line As A Surrogate For Stellar Velocity Dispersion In Active Galactic Nuclei, Edward F. Donohue

Physics

We study the emission profiles of 80 active galaxies to find a surrogate for stellar velocity dispersion. We focus on the width of the emission line of once ionized oxygen, [OII], and compare our results to previous work that used [OIII]. In previous research, [OIII] was found to be a good candidate for a surrogate for stellar velocity dispersion, but analysis of the line was complicated by the presence of wings caused by gas infall and outflow in the region. Emission lines with lower ionization levels, like [OII], are known to have less artificial line-broadening from wings. The study of …

Validation Of The Thermal Work Limit (Twl) Against Known Heat Stress Exposures, Danielle L. Kapanowski

USF Tampa Graduate Theses and Dissertations

Workers are exposed to stressful thermal work environments in multiple industries every day. Methods for assessing heat stress often struggle to balance productivity without compromising the health of the workers. The Thermal Work Limit (TWL) is a method that has been adopted in areas outside of the United States as a viable method for heat assessment that combines health with productivity. TWL recommends a maximum metabolic rate for a given set of environmental conditions, clothing ensemble and acclimatization state. The purpose of this paper was to evaluate the validity of the TWL against a set of heat stress data known …

Writing In The Disciplines: How Math Fits Into The Equation [Post-Print], Madelyn W. Colonnese, Christina M. Amspaugh, Steven Lemay, Kyle Evans, Kathryn Field

Faculty Scholarship

© 2018 International Literacy Association Writing is an important mode of thinking and learning for elementary students. Consistent efforts have been made to encourage discipline-specific writing, yet defining qualities of elementary mathematical writing have historically been underdeveloped. This article offers educators a new framework that conceptualizes mathematical writing as writing to reason and to communicate mathematically. Specifically, the framework defines four types of elementary mathematical writing: exploratory, informative/explanatory, argumentative, and mathematically creative. The authors explain and explore these types and their associated purposes through classroom vignettes. Informed by existing practices in mathematics and writing, strategies are offered to support teachers …

Shay Gap Soil Survey: Investigating The Suitability Of Soils And Landforms For Irrigated Agriculture In The Western West Canning Basin, Paul Galloway, Dennis Van Gool, Justin Laycock, Karen Holmes, David Rowe

Resource management technical reports

This report describes the soil and land resources of the Shay Gap study area (SA), which is south of Wallal Downs Station, in unallocated Crown land in the Shire of East Pilbara. It assesses the study area’s capability for three types of irrigated agriculture and examines land resources to ensure any future irrigation developments are sustainable and do not degrade the environment.

The Shay Gap SA lies within the West Canning Basin, an area of about 3500 square kilometres at the western margin of the onshore Canning Basin. The West Canning Basin has a substantial groundwater resource that provides fresh …

Hydrological Hazard Assessment For Irrigated Agriculture In The Irwin Focus Area, Russell J. Speed, Adele L. Killen

Resource management technical reports

The Midlands groundwater and land assessment project aimed to identify 2000–3000 hectare precincts suitable to develop intensive irrigated horticulture. The primary focus area was at Irwin, where the Department of Water and Environmental Regulation investigated groundwater resources and the Department of Primary Industries and Regional Development undertook a multi-faceted site assessment. This report describes the hydrological hazards assessment for the Irwin focus area.

The Irwin focus area is located on fertile loam and clay flats associated with the Irwin River. In the east, it encompasses the Irwin River valley floor and the western boundary loops to the south of the …

Dsm: A Specification Mining Tool Using Recurrent Neural Network Based Language Model, Tien-Duy B. Le, Lingfeng Bao, David Lo

Research Collection School Of Computing and Information Systems

Formal specifications are important but often unavailable. Furthermore, writing these specifications is time-consuming and requires skills from developers. In this work, we present Deep Specification Miner (DSM), an automated tool that applies deep learning to mine finite-state automaton (FSA) based specifications. DSM accepts as input a set of execution traces to train a Recurrent Neural Network Language Model (RNNLM). From the input traces, DSM creates a Prefix Tree Acceptor (PTA) and leverages the inferred RNNLM to extract many features. These features are then forwarded to clustering algorithms for merging similar automata states in the PTA for assembling a number of …

Isar Autofocus Imaging Algorithm For Maneuvering Targets Based On Phase Retrieval And Gabor Wavelet Transform, Hongyin Shi, Ting Yang, Zhijun Qiao

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

The imaging issue of a rotating maneuvering target with a large angle and a high translational speed has been a challenging problem in the area of inverse synthetic aperture radar (ISAR) autofocus imaging, in particular when the target has both radial and angular accelerations. In this paper, on the basis of the phase retrieval algorithm and the Gabor wavelet transform (GWT), we propose a new method for phase error correction. The approach first performs the range compression on ISAR raw data to obtain range profiles, and then carries out the GWT transform as the time-frequency analysis tool for the rotational …

Child-Computer Interaction, Ubiquitous Technologies, And Big Data, Jerry Alan Fails

Computer Science Faculty Publications and Presentations

The children's technology landscape is changing quickly. The ubiquity of interactive technologies means children can access them just about anytime, anywhere. At the same time, these technologies constantly collect data from and about children, bringing them into the age of big data, voluntarily or not. These developments have the potential to significantly change children's relationship to technology and the long-term impact of technology use. To discuss these changes, the child-computer-interaction community held a special interest group (SIG) meeting during the CHI 2018 conference.

Imaginary People Representing Real Numbers: Generating Personas From Online Social Media Data, Jisun An, Haewoon Kwak, Soongyo Jung, Joni Salminen, M. Admad, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

We develop a methodology to automate creating imaginary people, referred to as personas, by processing complex behavioral and demographic data of social media audiences. From a popular social media account containing more than 30 million interactions by viewers from 198 countries engaging with more than 4,200 online videos produced by a global media corporation, we demonstrate that our methodology has several novel accomplishments, including: (a) identifying distinct user behavioral segments based on the user content consumption patterns; (b) identifying impactful demographics groupings; and (c) creating rich persona descriptions by automatically adding pertinent attributes, such as names, photos, and personal characteristics. …

Joint Representation Learning Of Cross-Lingual Words And Entities Via Attentive Distant Supervision, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong

Research Collection School Of Computing and Information Systems

Joint representation learning of words and entities benefits many NLP tasks, but has not been well explored in cross-lingual settings. In this paper, we propose a novel method for joint representation learning of cross-lingual words and entities. It captures mutually complementary knowledge, and enables cross-lingual inferences among knowledge bases and texts. Our method does not require parallel corpora, and automatically generates comparable data via distant supervision using multi-lingual knowledge bases. We utilize two types of regularizers to align cross-lingual words and entities, and design knowledge attention and crosslingual attention to further reduce noises. We conducted a series of experiments on …

Learning Generalized Video Memory For Automatic Video Captioning, Poo-Hee Chang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Recent video captioning methods have made great progress by deep learning approaches with convolutional neural networks (CNN) and recurrent neural networks (RNN). While there are techniques that use memory networks for sentence decoding, few work has leveraged on the memory component to learn and generalize the temporal structure in video. In this paper, we propose a new method, namely Generalized Video Memory (GVM), utilizing a memory model for enhancing video description generation. Based on a class of self-organizing neural networks, GVM’s model is able to learn new video features incrementally. The learned generalized memory is further exploited to decode the …

River: A Real-Time Influence Monitoring System On Social Media Stream, Mo Sha, Yuchen Li, Yanhao Wang, Wentian Guo, Kian-Lee Tan

Research Collection School Of Computing and Information Systems

Social networks generate a massive amount of interaction data among users in the form of streams. To facilitate social network users to consume the continuously generated stream and identify preferred viral social contents, we present a real-time monitoring system called River to track a small set of influential social contents from high-speed streams in this demo. River has four novel features which distinguish itself from existing social monitoring systems: (1) River extracts a set of contents which collectively have the most significant influence coverage while reducing the influence overlaps; (2) River is topic-based and monitors the contents which are relevant …

Heterogeneous Embedding Propagation For Large-Scale E-Commerce User Alignment, Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang

Research Collection School Of Computing and Information Systems

We study the important problem of user alignment in e-commerce: to predict whether two online user identities that access an e-commerce site from different devices belong to one real-world person. As input, we have a set of user activity logs from Taobao and some labeled user identity linkages. User activity logs can be modeled using a heterogeneous interaction graph (HIG), and subsequently the user alignment task can be formulated as a semi-supervised HIG embedding problem. HIG embedding is challenging for two reasons: its heterogeneous nature and the presence of edge features. To address the challenges, we propose a novel Heterogeneous …

Ten Years Of Hunting For Similar Code For Fun And Profit (Keynote), Stephane Glondu, Lingxiao Jiang, Zhendong Su

Research Collection School Of Computing and Information Systems

In 2007, the Deckard paper was published at ICSE. Since its publication, it has led to much follow-up research and applications. The paper made two core contributions: a novel vector embedding of structured code for fast similarity detection, and an application of the embedding for clone detection, resulting in the Deckard tool. The vector embedding is simple and easy to adapt. Similar code detection is also fundamental for a range of classical and emerging problems in software engineering, security, and computer science education (e.g., code reuse, refactoring, porting, translation, synthesis, program repair, malware detection, and feedback generation). Both have buttressed …

Is There Space For Violence?: A Data-Driven Approach To The Exploration Of Spatial-Temporal Dimensions Of Conflict, Tin Seong Kam, Vincent Zhi

Research Collection School Of Computing and Information Systems

With recent increases in incidences of political violence globally, the world has now become more uncertain and less predictable. Of particular concern is the case of violence against civilians, who are often caught in the crossfire between armed state or non-state actors. Classical methods of studying political violence and international relations need to be updated. Adopting the use of data analytic tools and techniques of studying big data would enable academics and policy makers to make sense of a rapidly changing world.

Aligning Technical Debt Prioritization With Business Objectives: A Multiple-Case Study, Rodrigo Rebouças De Almeida, Uirá Kulesza, Christoph Treude, D’Angellys Cavalcanti Feitosa, Aliandro Higino Guedes Lima

Research Collection School Of Computing and Information Systems

Technical debt (TD) is a metaphor to describe the trade-off between short-term workarounds and long-term goals in software development. Despite being widely used to explain technical issues in business terms, industry and academia still lack a proper way to manage technical debt while explicitly considering business priorities. In this paper, we report on a multiple-case study of how two big software development companies handle technical debt items, and we show how taking the business perspective into account can improve the decision making for the prioritization of technical debt. We also propose a first step toward an approach that uses business …