Physical Sciences and Mathematics Commons^™

A Novel Nano-Energetic System Based On Bismuth Hydroxide, Mkhitar A. Hobosyan, Srbuhi A. Yolchinyan, Karen S. Martirosyan

Physics & Astronomy Faculty Publications

We report the first study of gas generation and thermal wave behavior during the performance of a novel nano-energetic system based on aluminum and bismuth hydroxide Al–Bi(OH)3. Thermodynamic calculations demonstrate that this system is comparable to one of the most powerful known nanothermite systems, Al–Bi2O3, in terms of energy capacity per initial charge mass, and may generate more than twice the gaseous products: 0.0087 mol g1 . Differential scanning calorimetry analysis shows that homogenization of the as-received powder using mechanical activation is an essential step to reduce the decomposition energy of bismuth hydroxide by 30%. This results in nano-thermite with …

Getting Students Excited About Science With High Altitude Ballooning, Charles F. Niederriter, Steven H. Mellema

2017 Academic High Altitude Conference

Many of us dream of exploring space, but there are not many ways to do so. Although it is difficult to get into deep space, near space is within our grasp. High altitude balloons are released into the stratosphere, generally reaching between 60,000 to 120,000 feet before they burst and their payload is returned to earth by parachute. Modern balloon systems generally contain electronic equipment such as radio transmitters, cameras, and GPS receivers, as well as a variety of scientific instruments. Not only is high altitude ballooning a great way to introduce the electronics and programming skills needed to collect …

Scalable Collaborative Targeted Learning For High-Dimensional Data, Cheng Ju, Susan Gruber, Samuel D. Lendle, Antoine Chambaz, Jessica M. Franklin, Richard Wyss, Sebastian Schneeweiss, Mark J. Van Der Laan

U.C. Berkeley Division of Biostatistics Working Paper Series

Robust inference of a low-dimensional parameter in a large semi-parametric model relies on external estimators of infinite-dimensional features of the distribution of the data. Typically, only one of the latter is optimized for the sake of constructing a well behaved estimator of the low-dimensional parameter of interest. Optimizing more than one of them for the sake of achieving a better bias-variance trade-off in the estimation of the parameter of interest is the core idea driving the C-TMLE procedure.

The original C-TMLE procedure can be presented as a greedy forward stepwise algorithm. It does not scale well when the number $p$ …

Monte Carlo Approaches To Parameterized Poker Squares, Todd W. Neller, Zuozhi Yang, Colin M. Messinger, Calin Anton, Karo Castro-Wunsch, William Maga, Steven Bogaerts, Robert Arrington, Clay Langely

Computer Science Faculty Publications

The paper summarized a variety of Monte Carlo approaches employed in the top three performing entries to the Parameterized Poker Squares NSG Challenge competition. In all cases AI players benefited from real-time machine learning and various Monte Carlo game-tree search techniques.

Model For Computing Kinetics Of The Graphene Edge Epitaxial Growth On Copper, Mikhail Khenner

Mathematics Faculty Publications

A basic kinetic model that incorporates a coupled dynamics of the carbon atoms and dimers ona copper surface is used to compute growth of a single-layer graphene island. The speed of theisland's edge advancement on Cu[111] and Cu[100] surfaces is computed as a function of the growthtemperature and pressure. Spatially resolved concentration pro les of the atoms and dimers aredetermined, and the contributions provided by these species to the growth speed are discussed.Island growth in the conditions of a thermal cycling is studied.

One View: Fire Fuels Regeneration In Eastern Sierra, Char Miller

Pomona Faculty Publications and Research

Sometimes it’s the small things that can best tell big stories.

Like the Marina Fire, which currently has burned a modest 800 acres to the north of Lee Vining, threatened but did not burn any structures, and whose greatest disruption has been periodically to shut down US 395. It hardly seems worth much attention.

Aggregation-Induced Emission Enhancement In Boron Difluoride Complexes Of 3-Cyanoformazanates, Ryan R. Maar, Joe Gilroy

Chemistry Publications

Boron difluoride (BF₂) complexes of 3-cyanoformazanates exhibit aggregation-induced emission enhancement in THF-water mixtures due to their severely twisted N-aryl substituents which restrict intramolecular motion and π stacking upon aggregation.

Extant Crinoidea (Echinodermata) Of Singapore, Charles Messing, Teresa S. Tay

Marine & Environmental Sciences Faculty Articles

The crinoid fauna of Singaporean waters now includes approximately 39 nominal species belonging to six families, all in Order Comatulida. Seventeen of the 22 species collected during the Singapore Strait Biodiversity Workshop (May-June 2013) were previously known from the area. Of the remaining five, Cenometra bella (Colobometridae) is definitely a new record for Singapore, while the taxonomic status of the other four is uncertain. Seventeen additional species, collected almost entirely in the nineteenth and early twentieth centuries, were not represented in the 2013 survey.

Impact Of Visualization On Engineers – A Survey, Dhaval Kashyap Shah

USF Tampa Graduate Theses and Dissertations

In the recent years, there has been a tremendous growth in data. Numerous research and technologies have been proposed and developed in the field of Visualization to cope with the associated data analytics. Despite these new technologies, the pace of people’s capacity to perform data analysis has not kept pace with the requirement. Past literature has hinted as to various reasons behind this disparity. The purpose of this research is to demonstrate specifically the usage of Visualization in the field of engineering. We conducted the research with the help of a survey identifying the places where Visualization educational shortcomings may …

Oversampling Methods For Imbalanced Dataset Classification And Their Application To Gynecological Disorder Diagnosis, Iman Nekooeimehr

USF Tampa Graduate Theses and Dissertations

In many applications, the dataset for classification may be highly imbalanced where most of the instances in the training set may belong to some of the classes (majority classes), while only a few instances are from the other classes (minority classes). Conventional classifiers will strongly favor the majority class and ignore the minority instances. The imbalance problem can occur in both binary data classification and also in ordinal regression. Ordinal regression is a supervised approach for learning the ordinal relationship between classes. Extensive research has been performed for addressing imbalanced datasets for binary classification; however, current methods do not address …

Enforcing Security Policies On Gpu Computing Through The Use Of Aspect-Oriented Programming Techniques, Bader Albassam

USF Tampa Graduate Theses and Dissertations

This thesis presents a new security policy enforcer designed for securing parallel computation on CUDA GPUs. We show how the very features that make a GPGPU desirable have already been utilized in existing exploits, fortifying the need for security protections on a GPGPU. An aspect weaver was designed for CUDA with the goal of utilizing aspect-oriented programming for security policy enforcement. Empirical testing verified the ability of our aspect weaver to enforce various policies. Furthermore, a performance analysis was performed to demonstrate that using this policy enforcer provides no significant performance impact over manual insertion of policy code. Finally, future …

Fast Computation On Processing Data Warehousing Queries On Gpu Devices, Sam Cyrus

USF Tampa Graduate Theses and Dissertations

Current database management systems use Graphic Processing Units (GPUs) as dedicated accelerators to process each individual query, which results in underutilization of GPU. When a single query data warehousing workload was run on an open source GPU query engine, the utilization of main GPU resources was found to be less than 25%. The low utilization then leads to low system throughput. To resolve this problem, this paper suggests a way to transfer all of the desired data into the global memory of GPU and keep it until all queries are executed as one batch. The PCIe transfer time from CPU …

Digital Integration, Jacob C. Boccio

USF Tampa Graduate Theses and Dissertations

Artificial intelligence is an emerging technology; something far beyond smartphones, cloud integration, or surgical microchip implantation. Utilizing the work of Ray Kurzweil, Nick Bostrom, and Steven Shaviro, this thesis investigates technology and artificial intelligence through the lens of the cinema. It does this by mapping contemporary concepts and the imagined worlds in film as an intersection of reality and fiction that examines issues of individual identity and alienation. I look at a non-linear timeline of films involving machine advancement, machine intelligence, and stages of post-human development; Elysium (2013) and Surrogates (2009) are about technology as an extension of the self, …

Quantum Random Number Generation Using A Quanta Image Sensor, Emna Amri, Yacine Felk, Damien Stucki, Jiaju Ma, Eric Fossum

Dartmouth Scholarship

A new quantum random number generation method is proposed. The method is based on the randomness of the photon emission process and the single photon counting capability of the Quanta Image Sensor (QIS). It has the potential to generate high-quality random numbers with remarkable data output rate. In this paper, the principle of photon statistics and theory of entropy are discussed. Sample data were collected with QIS jot device, and its randomness quality was analyzed. The randomness assessment method and results are discussed.

Decision Support Systems For Water Management: Investigating Stakeholder Perceptions Of System Use, Gabriella Balsam

USF Tampa Graduate Theses and Dissertations

Water resources are becoming increasingly important to protect, but doing so has proven challenging due to the complex nature of resource management. Many researchers have been trying to develop “usable science” to aid in this endeavor, and one method of this is the development of decision support systems. This has led to the employment of this method as a potential tool for decision makers, scientists, and the interested public to use; yet little literature is available on the success of their implementation. This study attempted to fill the gaps by gathering data through surveys and interviews from stakeholders who are …

Electrospinning Of Polymeric Solutions Using Opuntia Ficus-Indica Mucilage And Iron Oxide For Nanofiber Membranes For Treating Arsenic Contaminated Water, Venkatesh Eppili

USF Tampa Graduate Theses and Dissertations

Water is the essential part of every organism and it is also a vital constituent of healthy living and diet. Unfortunately water contamination over the past decade has increased dramatically leading to various diseases. As technology advances, we are detecting many pollutants at smaller levels of concentrations. Arsenic (As) is one of those major pollutants, and Arsenic poisoning is a condition caused due to excess levels of arsenic in the body. The main basis for Arsenic poisoning is from ground water which naturally contains high concentrations of arsenic. A case study from 2007 states that over 137 million people in …

Vector Competence Of Aedes Aegypti In Transmitting Chikungunya Virus: Effects And Implications Of Extrinsic Incubation Temperature On Dissemination And Infection Rates, Sophiah Mbaika, Joel Lutomiah, Edith Chepkorir, Francis Mulwa, Christopher Khayeka-Wandabwa, Caroline Tigoi, Elijah Oyoo-Okoth, James Mutisya, Zipporah Ng'ang'a, Rosemary Sang

All Peer-Reviewed Publications

Background: Aedes aegypti is a competent arthropod vector of chikungunya virus (CHIKV). The rate at which the virus disseminate in the vector is limited by temperature of their environment which can be an important determinant of geographical and seasonal limits to transmission by the arthropods in the tropics. This study investigated the vector competence of Ae. aegypti for CHIKV at ambient temperature of 32 and 26 °C (Coastal and Western Kenya respectively) reared at Extrinsic Incubation Temperature (EIT) of 32 and 26 °C that resembles those in the two regions. Methods: Ae. aegypti eggs were collected from coastal and Western …

Propensity Score Prediction For Electronic Healthcare Databases Using Super Learner And High-Dimensional Propensity Score Methods, Cheng Ju, Mary Combs, Samuel D. Lendle, Jessica M. Franklin, Richard Wyss, Sebastian Schneeweiss, Mark J. Van Der Laan

U.C. Berkeley Division of Biostatistics Working Paper Series

The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses cross-validation to select among a "library" of candidate prediction models. The SL is not restricted to a single prediction model, but uses the strengths of a variety of learning algorithms to adapt to different databases. While the SL has been shown to perform well in a number of settings, it has not been thoroughly evaluated in large electronic healthcare databases that are common in pharmacoepidemiology and comparative effectiveness research. In this study, we applied and evaluated …

U.S. Drought Monitor, June 28, 2016, Eric Luebehusen

United States Agricultural Commodities in Drought Archive

Drought map of U.S. for June 28, 2016 (6/28/16) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.

An Association Between A Cusk Eel (Bassozetus Sp.) And A Black Coral (Schizopathes Sp.) In The Deep Western Indian Ocean, Andrew R. Gates, Kirsty J. Morris, Daniel O. Jones, Kenneth J. Sulak

United States Geological Survey: Staff Publications

Detailed observations in the deep sea can reveal previously unknown behaviour, species interactions and fine-scale habitat heterogeneity. Here, the first in situ images of the black coral Schizopathes sp. (Anthozoa: Antipatharia) in the deep western Indian Ocean have been obtained from remotely operated vehicle video footage and time-lapse photography. In these images, there appears to be an association with the cusk eel Bassozetus (Family: Ophidiidae). In the primary observation, chance encounters revealed the fish interacted with the anitpatharian on multiple occasions over several days. Subsequent time-lapse camera footage showed the fish remained almost exclusively underneath the antipatharian for the duration …

Essays On Conflict And Organisation Theory., Dushyant Kumar Dr.

Doctoral Theses

Throughout the human civilization, domestic (intra country) conflicts have been present across societies, cultures and countries. These conflicts are extremely common as well as persistent. For the period 1960-2006, twenty percent of the countries have experienced at-least ten years of conflicts with more than 1000 casualties per year (Blattman and Miguel, 2010). It causes huge loss of human life, quantitatively, as well as qualitatively. It results in huge number of casualties, as well as damage to the existing output, resources and infrastructure. The persistent presence of such conflicts across the world means that a significant number of people as well …

Secure Communication Scheme In Smart Home Environment, Hari Krishna Jonnalagadda

USF Tampa Graduate Theses and Dissertations

Internet of Things, has started to mark its existence from past few years. Right from its inception with a coke machine at Carnegie Mellon University, it has come a long way, connecting billions of devices to internet. This journey is well supported by the advancements in networking, hardware miniaturization and sensing capabilities. Diverse nature of applications of Internet of Things, has cut the communication barriers between the varieties of fields ranging from manufacturing industry to health-care industry. Smart Home is one such application of Internet of Things. Connectivity of home appliances, to achieve automation in living, defines Smart Home. Out …

The Progress Of Order-Structured Membrane Electrode Assembly, Shang-Feng Jiang, Bao-Lian Yi

Journal of Electrochemistry

Performances of proton exchange membrane fuel cells (PEMFCs) have been recently improved. However, the cost and Pt loading must be further reduced for the commercialization of PEMFCs. Previous researches have proved that the order-structured electrode is beneficial to the effective utilization of Pt-based catalysts, decreasing the Pt loading and increasing the three-phase boundary for reaction. Especially, the nanostructure thin films (NSTFs) electrode, an ultra-thin catalytic layer developed by 3M Company, demonstrates high performance and durability. Besides, some other researchers have employed the high conductive carbon nanotube arrays or high stable metal oxide arrays as the order-structured catalyst supports for fundamental …

Recent Progress In Solid-State Nmr Study Of Electrode/Electrolyte Materials For Lithium/Sodium Ion Batteries, Gui-Ming Zhong, Zi-Geng Liu, Da-Wei Wang, Qi Li, Ri-Qiang Fu, Yong Yang

Journal of Electrochemistry

Solid state NMR technique is a powerful tool for characterizing the local structure and compositions of solid materials quantitatively. A comprehensive understanding of the structure evolution during the electrochemical reactions of the materials for lithium/sodium ion batteries will be obtained with the combination of solid state NMR, XRD, and XAS methods. Through analyzing solid state NMR spectra, we can obtain the compositions, local structures and ion diffusion dynamics of electrodes, electrolytes and surface layers for lithium/sodium ion batteries, providing an important theoretical support for the design and development of high-performance materials for batteries. In this paper, we review the recent …

Reduced Graphene Oxide (Rgo) Hollow Network Cages For High-Performance Electrochemical Energy Storage, Chi Zhang, Xu-Jun He, Gao-Ren Li

Journal of Electrochemistry

The reduced graphese oxide (RGO) hollow network cages were synthesized via zinc oxide (ZnO) template-assisted electrodeposition. The as-prepared RGO hollow network cages exhibited the multi-level architectures, from nano sheets, porous structures, networks, to 3D microscaled hollow cages, which can simultaneously optimize transport of electroactive species, utilization rate of electrode material, and super capacitive performance. Electrochemical measurements confirmed the superior performance of RGO hollow network cages for supercapacitors (SCs), such as high Csp (393 F⋅g^-1 at 1.0 A⋅g^-1), excellent rate capability (21.2% Csp loss from 1.0 to 20 A⋅g^-1), and superior cycling stability (< 1% Csp loss after 10000 cycles).

Electrochemical And In Situ X-Ray Absorption Fine Structure Study Of Li-Rich Cathode Materials, Meng-Yan Hou, Hong-Liang Bao, Ke Wang, Jian-Qiang Wang, Yong-Yao Xia

Journal of Electrochemistry

A series of the lithium-rich and manganese-based layered structure xLi₂MnO₃•(1-x)LiMn_1/3Ni_1/3Co_1/3O₂ (x = 0.3,0.5,0.7) materials were synthesized by a co-precipitation method, and followed by a solid-state reaction process. By comparing the first cycle efficiency, the reversible discharge capacity, the cycling stability and the voltage decay during the charge/discharge cycling process, the material with the composition of 0.5Li₂MnO₃•0.5LiMn_1/3Ni_1/3Co_1/3O₂was found to show the best electrochemical performance. The lithium storage mechanism and thermal stability of the de-lithiated compound were also investigated …

The Electrochemical Behavior Of Li+ In Lif-Baf2-Licl Molten Salt System, Shao-Hua Yang, Jun Wang, Xiao-Hui Lai, Hao-Ran Wang

Journal of Electrochemistry

The electrochemical reduction process and rate determining step of Li ion on a tungsten electrode at 1203 K in a LiF-BaF₂-LiCl molten system were studied by cyclic voltammetry, chronoamperometry and chronopotentiometry methods using a three-electrode system and electrochemical workstation AUTOLAB. The results showed that the reduction potential of Li ion was at around -1.0 V on a tungsten electrode as compared with a platinum electrode. The reduction process of Li ion on a tungsten electrode occurred in a single step with the exchange of one electron. Chronoamperograms indicated that the cathode process was controlled by the diffusion step …

Holographic Chern-Simons Defects, Mitsutoshi Fujita, Charles M. Melby-Thompson, René Meyer, Shigeki Sugimoto

Physics and Astronomy Faculty Publications

We study SU(N ) Yang-Mills-Chern-Simons theory in the presence of defects that shift the Chern-Simons level from a holographic point of view by embedding the system in string theory. The model is a D3-D7 system in Type IIB string theory, whose gravity dual is given by the AdS soliton background with probe D7 branes attaching to the AdS boundary along the defects. We holographically renormalize the free energy of the defect system with sources, from which we obtain the correlation functions for certain operators naturally associated to these defects. We find interesting phase transitions when the separation of the …

Environmental And Community Health In South San Diego County: A Behavior Analysis Of Recreational Ocean Users Along Imperial Beach, California, Trista Brophy

USF Tampa Graduate Theses and Dissertations

Garbage & sewage runoff into the Pacific Ocean at the shoreline along the U.S./Mexico Border region poses serious health and environmental threats. The purpose of this study was to analyze the current beach users’ behavioral factors that may be linked to illness prevalence from Coronado Island to the U.S./Mexico border at Imperial Beach in San Diego County. It is a continuation of a study completed by Wildcoast and Imperial Beach Clinic in 2011. The study tried to answer the following two major questions: How have the number of illnesses reported by users along South San Diego County beaches changed in …

Modeling And Satellite Remote Sensing Of The Meteorological Impacts Of Irrigation During The 2012 Central Plains Drought, Clint Aegerter

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

As irrigation is increasingly needed for agricultural production, it is becoming progressively more important to understand not only how irrigation impacts water availability, but how the introduction of this water into the soil impacts weather and climate through land-atmosphere interactions. In the summer of 2012, the Central Plains of the United States experienced one of its most severe droughts on record. This study examines the meteorological impacts of irrigation during this drought through observations and model simulations using the Community Land Model (CLM) coupled to the Weather Research and Forecasting (WRF) model. A simple parameterization of irrigation processes is added …