Physical Sciences and Mathematics Commons^™

Re-Crosslinking Particle Gel For Co2 Compliance Control And Co2 Filtration Blocking, Yifu Long, Baojun Bai, Thomas P. Schuman

Patents

The present invention generally relates to the composition of particle gels for CO2 - EOR and CO2 storage . More particularly , CO2 resistant particle gels are provided that can re - crosslink at subterranean conditions . These particle gels can be deployed to improve the conformance of CO , flooding , CO , huff - puff , or Water - Alternative - Gas ( WAG ) . The applications may also involve CO2 storage , such as the blocking of CO2 leakage and similar CO2 processing .

Fiber Assisted Re-Cross-Linkable Polymer Gel And Preformed Particle Gels For Fluid Loss And Conformance Control, Baojun Bai, Ze Wang, Zhe Sun, Jingyang Pu, Thomas P. Schuman

Patents

Described herein are compositions useful for controlling fluid flow, for example in a target zone of a subterranean environment, and methods of forming and using the same. The composition generally comprises a quantity of fibers and a quantity of swellable particles, which may be dispersed in a carrier fluid. The composition may be synthesized in the form of a bulk gel or may be gelatinated during use. The fibers in the compositions provide improved performance as compared to prior PPG and RPPG particle containing compositions. Specifically, the compositions reinforce the re-cross-linked/re-associated hydrogel plug in underground features and support proper rehydration …

Proton Radius: A Puzzle Or A Solution!?, Ulrich D. Jentschura

Physics Faculty Research & Creative Works

The proton radius puzzle is known as the discrepancy of the proton radius, obtained from muonic hydrogen spectroscopy (obtained as being roughly equal to 0.84 fm), and the proton radius obtained from (ordinary) hydrogen spectroscopy where a number of measurements involving highly excited states have traditionally favored a value of about 0.88 fm. Recently, a number of measurements of hydrogen transitions by the Munich (Garching) groups (notably, several hyperfine-resolved sublevels of the 2S-4P) and by the group at the University of Toronto (2S-2P 1/2) have led to transition frequency data consistent with the smaller proton radius of about 0.84 fm. …

Patient Generated Health Data And Electronic Health Record Integration, Governance And Socio-Technical Issues: A Narrative Review, Abdullahi Abubakar Kawu, Lucy Hederman, Julie Doyle, Dympna O'Sullivan

Articles

Patients’ health records have the potential to include patient generated health data (PGHD), which can aid in the provision of personalized care. Access to these data can allow healthcare professionals to receive additional information that will assist in decision-making and the provision of additional support. Given the diverse sources of PGHD, this review aims to provide evidence on PGHD integration with electronic health records (EHR), models and standards for PGHD exchange with EHR, and PGHD-EHR policy design and development. The review also addresses governance and socio-technical considerations in PGHD management. Databases used for the review include PubMed, Scopus, ScienceDirect, IEEE …

Investigating How Speech And Animation Realism Influence The Perceived Personality Of Virtual Characters And Agents, Sean A. Thomas, Ylva Ferstl, Rachel Mcdonnell, Cathy Ennis

Articles

The portrayed personality of virtual characters and agents is understood to influence how we perceive and engage with digital applications. Understanding how the features of speech and animation drive portrayed personality allows us to intentionally design characters to be more personalized and engaging. In this study, we use performance capture data of unscripted conversations from a variety of actors to explore the perceptual outcomes associated with the modalities of speech and motion. Specifically, we contrast full performance-driven characters to those portrayed by generated gestures and synthesized speech, analysing how the features of each influence portrayed personality according to the Big …

A Core–Shell Au@Tio2 And Multi-Walled Carbon Nanotube-Based Sensor For The Electroanalytical Determination Of H2o2 In Human Blood Serum And Saliva, Ayman Ali Saeed, Mohammed Nooredeen Abbas, Waheed Fathi El-Hawary, Yousry Moustafa Issa, Baljit Singh

Articles

A hydrogen peroxide (H2O2) sensor was developed based on core–shell gold@ titanium dioxide nanoparticles and multi-walled carbon nanotubes modified glassy carbon electrode (Au@TiO2/MWCNTs/GCE). Core–shell Au@TiO2 material was prepared and characterized using a scanning electron microscopy and energy dispersive X-ray analysis (SEM/EDX), transmission electron microscopy (TEM), atomic force microscopy (AFM), Raman spectroscopy, X-ray diffraction (XRD) and Zeta-potential analyzer. The proposed sensor (Au@TiO2/MWCNTs/GCE) was investigated electrochemically using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The analytical performance of the sensor was evaluated towards H2O2 using differential pulse voltammetry (DPV). The proposed sensor exhibited excellent stability and sensitivity with a linear concentration …

A Systematic, Holistic And Transdisciplinary Energy Management Framework To Promote Environmentally Sustainable Shipyards, Seyedvahid Vakili

World Maritime University Ph.D. Dissertations

Shipbuilding is an energy-intensive industry and has negative environmental impacts. Given the contribution of the production phase to ships' air emissions throughout their life cycle, there is no international regulation to monitor, control or reduce air emissions during this phase. However, it may be covered by State’s Nationally Determined Contributions (NDC) under the Paris Agreement. Achieving a zero-emission shipping industry requires a broader, holistic, systematic and "cradle to grave" approach that takes into account the life cycle of the ship, from production to scrapping.

The aim of the study is to develop to a holistic and systematic approach to reducing …

M-Cubes: An Efficient And Portable Implementation Of Multi-Dimensional Integration For Gpus, Ioannis Sakiotis, Kamesh Arumugam, Marc Paterno, Desh Ranjan, Balŝa Terzić, Mohammad Zubair

Computer Science Faculty Publications

The task of multi-dimensional numerical integration is frequently encountered in physics and other scientific fields, e.g., in modeling the effects of systematic uncertainties in physical systems and in Bayesian parameter estimation. Multi-dimensional integration is often time-prohibitive on CPUs. Efficient implementation on many-core architectures is challenging as the workload across the integration space cannot be predicted a priori. We propose m-Cubes, a novel implementation of the well-known Vegas algorithm for execution on GPUs. Vegas transforms integration variables followed by calculation of a Monte Carlo integral estimate using adaptive partitioning of the resulting space. mCubes improves performance on GPUs by maintaining relatively …

Camouflaged Poisoning Attack On Graph Neural Networks, Chao Jiang, Yi He, Richard Chapman, Hongyi Wu

Computer Science Faculty Publications

Graph neural networks (GNNs) have enabled the automation of many web applications that entail node classification on graphs, such as scam detection in social media and event prediction in service networks. Nevertheless, recent studies revealed that the GNNs are vulnerable to adversarial attacks, where feeding GNNs with poisoned data at training time can lead them to yield catastrophically devastative test accuracy. This finding heats up the frontier of attacks and defenses against GNNs. However, the prior studies mainly posit that the adversaries can enjoy free access to manipulate the original graph, while obtaining such access could be too costly in …

Testing The Efficiency Of The Nfl Betting Market, Ryan Earl Oswald

Honors Program Theses

This paper seeks to investigate the NFL betting market, using statistical and economic tests to challenge the Efficient Market Hypothesis’ claim that it is efficient and no strategy can be expected to make a profit. Specifically, this paper studies the spread, over-under, and money line markets to see if each is efficient on their own and as a collective. In looking to see how these lines can influence the outcomes of each other, this paper finds a number of strategies that were profitable over the timeframe of the data. This shows that the NFL betting market was not completely efficient …

An Exploration On Apts In Biocybersecurity And Cyberbiosecurity, Xavier-Lewis Palmer, Lucas Potter, Saltuk Karahan

School of Cybersecurity Faculty Publications

Novel and complex digital threats that are increasingly interwoven with means and products of biology that can affect society. Much work in Biocybersecurity/Cyberbiosecurity (BCS/CBS) discuss vulnerabilities, but few deeply address malicious actor varieties as attacks at this intersection are new. The path to those attacks remains mostly theoretical, presenting considerable difficulty to accomplish in practical scenarios. In terms of advanced persistent threats (APTs) this of course needs to change as biomanufacturing facilities are at risk, considering Covid-19 and other potential pandemics. Further attacks are not out of reach and thus we must start to imagine how BCS APTs may appear. …

Predictive Models In Software Engineering: Challenges And Opportunities, Yanming Yang, Xin Xia, David Lo, Tingting Bi, John C. Grundy, Xiaohu Yang

Research Collection School Of Computing and Information Systems

Predictive models are one of the most important techniques that are widely applied in many areas of software engineering. There have been a large number of primary studies that apply predictive models and that present well-performed studies in various research domains, including software requirements, software design and development, testing and debugging, and software maintenance. This article is a first attempt to systematically organize knowledge in this area by surveying a body of 421 papers on predictive models published between 2009 and 2020. We describe the key models and approaches used, classify the different models, summarize the range of key application …

Github Discussions: An Exploratory Study Of Early Adoption, Hideaki Hata, Nicole Novielli, Sebastian Baltes, Raula Kula, Christoph Treude

Research Collection School Of Computing and Information Systems

Discussions is a new feature of GitHub for asking questions or discussing topics outside of specific Issues or Pull Requests. Before being available to all projects in December 2020, it had been tested on selected open source software projects. To understand how developers use this novel feature, how they perceive it, and how it impacts the development processes, we conducted a mixed-methods study based on early adopters of GitHub discussions from January until July 2020. We found that: (1) errors, unexpected behavior, and code reviews are prevalent discussion categories; (2) there is a positive relationship between project member involvement and …

Contextualized Knowledge-Aware Attentive Neural Network: Enhancing Answer Selection With Knowledge, Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen

Research Collection School Of Computing and Information Systems

Answer selection, which is involved in many natural language processing applications, such as dialog systems and question answering (QA), is an important yet challenging task in practice, since conventional methods typically suffer from the issues of ignoring diverse real-world background knowledge. In this article, we extensively investigate approaches to enhancing the answer selection model with external knowledge from knowledge graph (KG). First, we present a context-knowledge interaction learning framework, Knowledge-aware Neural Network, which learns the QA sentence representations by considering a tight interaction with the external knowledge from KG and the textual information. Then, we develop two kinds of knowledge-aware …

Comparing Molecular Methods To Estimate Fish Stomach Contents And Gastric Evacuation Rates: Implications For Measuring The Impacts Of Predation On Central Valley Chinook Salmon, Cory M. Dick

Cal Poly Humboldt theses and projects

Juvenile Chinook Salmon (Oncorhynchus tshawytscha) migrating through the Sacramento – San Joaquin Delta (the Delta) in central California have higher mortality rates than salmonids migrating through other west coast estuaries. Some hypotheses for high mortality rates include entrainment into water export facilities, physical alterations of the river system, and predation. Of these factors, predation is considered the least understood but may have the largest impact. Predation from large populations of non-native piscivorous fishes in the Delta is believed to effect abundances of Central Valley Chinook salmon, however sufficient data supporting this hypothesis is scarce. In this study, I …

Cyber Whistleblowers: The Black Sheep Of Whistleblowing?, Andrew Wisniewski Jr.

Cybersecurity Undergraduate Research Showcase

From the Introduction:

Contrary to popular belief, this paper argues that cyber whistleblowing can contribute to a greater cyber security posture. However, this requires the development of clearer legal obligations and protections for cyber whistleblowers. This paper will explore the psychology behind whistleblowing, the effectiveness of whistleblowing in a cybersecurity context, how to create a safer and more transparent environment for whistleblowers and companies, and how current laws contribute to cyber whistleblowing.

Digital Forensic Investigation, Dejuan Green

Cybersecurity Undergraduate Research Showcase

Finding, acquiring, processing, analyzing, and reporting data on electronically stored data is the main goal of the forensic science discipline known as "digital forensics." Nearly all illegal acts include the use of electronic evidence, making digital forensics support essential for law enforcement investigations. Furthermore, digital forensics is very important to cases aiding in many cases and can lead to saving lives/ victims and locking up criminals. A wide range of devices, including laptops, cellphones, remote storage, unmanned aerial systems, shipborne equipment, and more, can be used to gather electronic evidence. [2] Digital forensics' major objective is to take data from …

Ransombuster Iot: A Intrusion Detection And Dataset Creation Tool For Ransomware Attacks Within Iot Networks, Jackson M. Walker

Cybersecurity Undergraduate Research Showcase

The proposed research follows the design-science guidelines(Hevner, 2004). This paper uses these design-science methods for developing the guidelines for the implementation of the proposed architecture, understanding previous research contributions, and evaluating of research. This paper proposes a network artifact for studying ransomware IoT intrusion detection techniques and offers a proposed network architecture to serve as a framework for creating a publicly available dataset for IoT research on ransomware.

Understanding The Effectivity And Increased Reliance Of Credit Risk Machine Learning Models In Banking, Grishma Baruah

Cybersecurity Undergraduate Research Showcase

Credit risk analysis and making accurate investment and lending decisions has been a challenge for the financial industry for many years, as can be seen with the 2008 financial crisis. However, with the rise of machine learning models and predictive analytics, there has been a shift to increased reliance on technology for determining credit risk. This transition to machine learning comes with both advantages, such as potentially eliminating human error and assumptions from lending decisions, and disadvantages, such as time constraints, data usage inabilities, and lack of understanding nuances in machine learning models. In this paper, I look at four …

Mitigation Of Algorithmic Bias To Improve Ai Fairness, Kathy Wang

Cybersecurity Undergraduate Research Showcase

As artificial intelligence continues to evolve rapidly with emerging innovations, mass-scale digitization could be disrupted due to unfair algorithms with historically biased data. With the rising concerns of algorithmic bias, detecting biases is essential in mitigating and implementing an algorithm that promotes inclusive representation. The spread of ubiquitous artificial intelligence means that improving modeling robustness is at its most crucial point. This paper examines the omnipotence of artificial intelligence and its resulting bias, examples of AI bias in different groups, and a potential framework and mitigation strategies to improve AI fairness and remove AI bias from modeling techniques.

Exploratory Analysis Of Password And Login Security Methods, Sofia Huang

Cybersecurity Undergraduate Research Showcase

In 2022, the average cost of a data breach is $4.35 million. Passwords are the first line of defense against unauthorized access to accounts and important data. Ensuring that accounts are secure is vital to protect personal and corporate information. Although big tech companies are researching ways to implement password-free authentication systems, they will likely not be replaced by new technology all of a sudden. Therefore, methods to strengthen passwords and optimize security must be used until more advanced options are easily accessible. In this paper, common forms of password attacks and various methods of password security evaluation and login …

Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii

Walden Dissertations and Doctoral Studies

Supply chain inflexibility results in reduced efficiency and profitability. Without supply chain flexibility, supply chain managers in manufacturing firms risk the loss of competitive advantage due to reduced efficiency and profitability. Grounded in business process engineering conceptual framework, the purpose of this qualitative multiple case study was to explore strategies supply chain leaders in manufacturing organizations use to achieve supply chain flexibility. The participants were five supply chain leaders in the manufacturing industry in the midwestern United States and successfully implemented innovative solutions to achieve supply chain flexibility. Data were collected using semistructured interviews and a review of company documents …

Healthcare Management Strategies For Achieving Sustainable Departmental Productivity Improvements, Timothy Hargrove

Walden Dissertations and Doctoral Studies

Healthcare organizations’ leaders' lack of strategies to effectively deploy and monitor departments’ productivity goals affect overall organizations’ performance. Healthcare leaders who fail to deploy and monitor departmental productivity strategies effectively are limited to enhancing healthcare organizations’ performance outcomes. Grounded in transformational leadership theory, the purpose of this qualitative multiple case study was to explore strategies healthcare organizations’ leaders use to effectively identify, deploy, and monitor departments’ goals for improving their overall organization's performance. The participants were 20 healthcare leaders who successfully demonstrated success in improving their organizations’ departmental-specific productivity performance. Data were collected using semistructured interviews and a review of …

Effects Of Indoor Air Pollutants On Childhood Asthma: African American Parents’ Perspective, Marcia Maureen Haughton Lewis

Walden Dissertations and Doctoral Studies

AbstractIndoor air pollution has been implicated in many chronic health conditions, including childhood asthma, which is more prevalent among African American children. Children are more susceptible than adults to the effects of exposure to indoor air pollution; however, many parents may not be aware of the polluting impacts of products in their homes and are inadvertently placing their families at risk for adverse health outcomes. Understanding parents’ perceptions and experiences is essential for planning and developing educational programs and interventions for improving indoor environment management as part of asthma management in children. This descriptive phenomenological study aimed to explore parents’ …

Middle School Teacher Perceptions On Implementation Of The Math Workshop Model, Donna Mack

Walden Dissertations and Doctoral Studies

Mathematics achievement levels in the middle school grades have reportedly been below proficiency for students in the United States. The math workshop model has been identified as a possible approach to increase student achievement in mathematics. The purpose of this generic qualitative study, guided by Mezirow’s transformative learning theory, focused on understanding middle school teacher perceptions of the implementation of the math workshop model. The five research questions addressed middle school teacher perceptions of the implementation and influence of the math workshop and how it had transformed their understanding of teaching mathematics. Data were collected through semistructured interviews with nine …

Length Of Stay In A Homeless Shelter And Mitigating Homelessness, Uwemedimo S. Etteyit

Walden Dissertations and Doctoral Studies

AbstractHomelessness is a major public health issue in the United States. Every night, thousands of people have no residence to call their own. Most homeless persons turn to homeless shelters for help. Despite the homeless shelters, the problem of homelessness persists. This study examined the concept that the length of time spent at a homeless shelter is related to the homeless persons mitigating their homelessness through home placement, jobs, and healthcare access. Homelessness was examined using the socioecological model with its attendant levels of influence. On the intrapersonal level, socioeconomic status, education, old age, veteran status, and disability were factors. …

Examination Of Strategies To Implementing Chip-And-Personal Identification Number Credit Card Authentication Infrastructures, Neville Arthur Gallimore

Walden Dissertations and Doctoral Studies

Chip-and-Personal Identification Number (PIN) technology is seen as a game changer in many e-commerce industries and a transformational technology in the 21st century. However, security concerns have made chip-and-PIN adoption relatively slow. Massive unauthorized card payment transactions in the United States (U.S.) cost victims an estimate totaling billions of dollars. Information Technology (IT) managers are concerned with credit card fraud's financial loss and liability cost. Grounded in Rogers’s diffusion of innovation theory, the purpose of this qualitative pragmatic study was to explore strategies used by IT managers to transition their e-commerce organizations to chip-and-PIN credit card authentication infrastructures. The participants …

Strategies To Secure A Voice Over Internet Protocol Telephone System, Sherese Bernard

Walden Dissertations and Doctoral Studies

Voice over internet protocol (VoIP) provides cost-effective phone service over a broadband internet connection rather than analog telephone services. While VoIP is a fast-growing technology, there are issues with intercepting and misusing transmissions, which are security concerns within telecommunication organizations and for customers. Grounded in the routine activity theory, the purpose of this multiple case study was to explore strategies information technology (IT) security managers used to secure VoIP telephone systems in telecommunication organizations. The participants consisted of nine IT security managers from three telecommunication organizations in New York who possessed the knowledge and expertise to secure a VoIP telephone …

Security Strategies Of Electronic Health Record Systems, Benjamin Gerke

Walden Dissertations and Doctoral Studies

Users of electronic health record (EHR) systems lack data security mechanisms and are at risk of patient data breaches. Grounded in routine activities theory, the purpose of this qualitative case study was to explore strategies information technology security managers in the health care industry use to minimize electronic health record data breaches. The participants were nine information security managers of large, medium, and small health care organizations in the Midwest United States. Data collection included semistructured interviews and organizational documents. Through methodological triangulation, three themes emerged: (a) requirements based on government and organizational regulations, (b) implementation of best practice industry-standard …