Digital Commons Network^™

Analysis On Unesco Development Trends In Science And Technology Research, Wang Juanle, Li Yang, Wang Shuqiang, Liu Chang, Yuan Yuelei, Ma Yingchen, Zhang Ye, Fang Ying

Bulletin of Chinese Academy of Sciences (Chinese Version)

The United Nations Educational, Scientific and Cultural Organization (UNESCO) is committed to promoting cooperation and exchanges in education, science and culture, and has established a number of Category Ⅱ centers in China. Following the development of UNESCO has reference and guidance significance for promoting the international cooperation and exchange between Chinese institutions and UNESCO in the fields of science, technology, engineering, culture, etc. Sourced from the Web of Science, this paper presents a study of 4 936 UNESCO academic papers from 2010 to 2019 to obtain the development trend of science and technology through the perspectives of the output of …

Analysis And Review On Gene Editing, Song Xiufang, Wei Xuemei, Zheng Lili, Zhao Yajuan, Zhang Kexin, Liu Chunguang, Xu Weihua

Bulletin of Chinese Academy of Sciences (Chinese Version)

Gene editing technology is a very important bioengineering technology, which is widely used in biomedicine, biological environmental protection, and agricultural production. Based on the analysis of patents and articles related to gene editing, this study reveals the development status and trend of gene editing technology from the following aspects: Patent application and publication of major global institutions, overview of CRISPR technology patents, cooperation among patent inventors in various countries, analysis of technology flow direction, technology composition, and status of main innovation subjects. Countermeasures and suggestions on the original technology innovation, industrialization process, and international collaboration are put forward for researchers …

Comparing Greedy Constructive Heuristic Subtour Elimination Methods For The Traveling Salesman Problem, Petar Jackovich, Bruce A. Cox, Raymond R. Hill

Faculty Publications

Purpose — This paper aims to define the class of fragment constructive heuristics used to compute feasible solutions for the traveling salesman problem (TSP) into edge-greedy and vertex-greedy subclasses. As these subclasses of heuristics can create subtours, two known methodologies for subtour elimination on symmetric instances are reviewed and are expanded to cover asymmetric problem instances. This paper introduces a third novel subtour elimination methodology, the greedy tracker (GT), and compares it to both known methodologies. Design/methodology/approach — Computational results for all three subtour elimination methodologies are generated across 17 symmetric instances ranging in size from 29 vertices to 5,934 …

Efficient And Mild Four-Component Process For The Synthesis Of Highly Substituted Dihydro-2-Oxopyrroles Using Zrocl2∙8h2o As An Environmental-Ly Friendly Catalyst, Farzaneh Mohamadpour

Makara Journal of Science

This study investigated the catalytic ability of ZrOCl₂∙8H₂O as a mild, environmentally benign nature, and economical catalyst for the multi-component efficient synthesis of biologically active highly substituted dihydro-2-oxopyrrole derivatives with excellent yields and short reaction times. This procedure has several advantages, including use of mild, nontoxic, and inexpensive catalysts, one-pot synthesis, environmentally benign nature, simple operational procedure, and highly efficient conditions.

Effect Of Surfactant Addition On The Dispersion And Antioxidant Performance Of Pyrogallol In Biodiesel, Silvya Yusri, Mohammad Nasikin, Hery Sutanto

Makara Journal of Science

Biodiesel is one of the most feasible energy sources that can be used as a replacement for fossil fuel. Biodiesel has several advantages over conventional fuels because of its availability, renewability, and high combustion efficiency. However, biodiesel that contains unsaturated fatty acid methyl esters is prone to oxidation during the blending process and storage period. The complete oxidation reaction of biodiesel produces insoluble gums that could potentially plug the fuel engines. This reaction has become the main barrier for biodiesel to compete with other biofuels. Among several methods, the addition of antioxidants is the most cost-effective method to prevent the …

Effect Of Applied Pressure During Sintering On The Densification And Mechanical Properties Of Sicf/Sic Composites Prepared By Electrophoretic Infiltration, Alfian Noviyanto

Makara Journal of Science

SiC-fiber-reinforced SiC matrix ceramic (SiC_f/SiC) composites were successfully fabricated by electrophoretic infiltration and sintering at various applied pressures. The effect of applied pressure (i.e., 5, 10, and 20 MPa) was thoroughly examined, and applied pressure appears to influence the densification and mechanical properties of SiC_f/SiC composites. The densities of SiC_f/SiC composites prepared at applied pressure of 5, 10, and 20 MPa were 2.99, 3.10, and 3.16 g/cm³, respectively. All samples showed dense microstructures in their matrix areas; however, many closed pores were found with increasing pressure. Pressure induced densification in the fiber …

A Bibliometric Study On Open Access Library And Information Science Journals In Doaj, Selvam M, Amudha G

Library Philosophy and Practice (e-journal)

Open Access is a form of practice through which academic publications are shared publicly online. Open Access enables Books, Journals, Research articles, Thesis and all other educational resources that shared online with peer reviewed or set of quality metrics. Open Access Journals provide an unlimited access of scholarly published articles to the user. It also facilitates the users to enrich their knowledge on various disciplines with no cost. Open Access Journals promotes unbiased information dissemination and maintains high transparency in publishing contents with international standards. The aim of the present study is to analyze the open access Library and Information …

Malware Classification With Gaussian Mixture Model-Hidden Markov Models, Jing Zhao

Master's Projects

Discrete hidden Markov models (HMM) are often applied to the malware detection and classification problems. However, the continuous analog of discrete HMMs, that is, Gaussian mixture model-HMMs (GMM-HMM), are rarely considered in the field of cybersecurity. In this study, we apply GMM-HMMs to the malware classification problem and we compare our results to those obtained using discrete HMMs. As features, we consider opcode sequences and entropy-based sequences. For our opcode features, GMM-HMMs produce results that are comparable to those obtained using discrete HMMs, whereas for our entropy-based features, GMM-HMMs generally improve on the classification results that we can attain with …

Modified C-17 Taxi Procedures: A Fuel Cost Savings Exploration, Michael Wells, Michael Krester, Benjamin Hazen, Jeffery D. Weir

Faculty Publications

Purpose — This study aims to explore the viability of using C-17 reduced-engine taxi procedures from a cost savings and capability perspective. Design/methodology/approach — This study model expected engine fuel flow based on the number of operational engines, aircraft gross weight (GW) and average aircraft groundspeed. Using this model, the research executes a cost savings simulation estimating the expected annual savings produced by the proposed taxi methodology. Operational and safety risks are also considered. Findings — The results indicate that significant fuel and costs savings are available via the employment of reduced-engine taxi procedures. On an annual basis, the mobility …

Figurations Of Timely Extraction, H Pritchard, J Rocha, F Snelting

School of Art, Design and Architecture

During recent years, geocomputation has become increasingly entangled with so-called 4D visualization. The contemporary infrastructure of fossil fuel extraction depends on these software tools for geological data handling, interpretation and modelling of subterranea. This paper makes use of the contaminated and contaminating practice of figuration to plot stories that highlight some of the milestones of deadly collaboration, of optimised acceleration, and of sedimented damage. It engages with three figurations of timely extraction (Consortium, Borehole and Amalgam), to tell stories that provide a way to make present the time-space complexities that emerge from the connections between extractivism, computation and semiotic-material values. …

Investigating The Information Seeking Behaviour Of Academic Lawyers Of Kurukshetra University Kurukshetra (Haryana) And Chaudhary Devi Lal University, Sirsa (Haryana): A Comparative, Ravinder Kumar Dr., Anil Kumar Dr.

Library Philosophy and Practice (e-journal)

This comparative study investigated the information seeking behavior of academic lawyers of Kurukshetra University, Kurukshetra and Chaudhary Devi Lal University, Sirsa. The aim of the study was to determine the law students and faculty member’s academic information needs and information seeking behavior and to find out the utility of e-resources and legal databases. Further the aim of the study was also to identify the problems faced by the academic lawyers in the process of information seeking and suggest different approaches and strategies to overcome the hurdles in the way of information seeking behavior. A questionnaire was the basic method to …

Advanced Thermal Characterization And Temperature Control To Enable The Next Generation Of Micro-Electronic Technologies, Assaad El Helou

Mechanical Engineering Research Theses and Dissertations

In the electronics world, self-heating is an inevitable by-product of electrical activation that has a major impact on device performance and reliability. Thermal technologies have been in constant development to effectively dissipate the generated heat and keep device operation temperatures within reliable limits. Moreover, thermal characterization technologies have been implemented to understand the thermal performance within microelectronic sys- tems, but not without facing experimental and numerical challenges. This work presents ad- vanced thermal investigations, both experimental and numerical, that are adapted and most suited for emerging micro-electronic technologies. Initially, the main experimental and numerical modeling challenges faced in the thermal …

Microparticle Propulsion For In Vivo Navigation, Louis Rogowski

Mechanical Engineering Research Theses and Dissertations

Microscale propulsion impacts a diverse array of fields, with simplistic microrobots allowing for novel innovations in microscale surgery and drug delivery. Propulsion at the microscale is constrained by physics, with time-reversal and geometric symmetries limiting available propulsion mechanisms. However, certain fluid environments and surface coatings allow for the propulsion of microparticles through externally applied magnetic fields. Presented here is a detailed analysis of microparticles propelling using spontaneous symmetry breaking, flagella surface coatings, and multi-modal actuation mechanisms. Spontaneous symmetry breaking in nonlinearly viscoelastic fluids is presented for the first time in literature, with two equal and opposite propulsion states existing along …

The Effect Of Surface Air Entrapment On Oscillating Fin Flow At Intermediate Reynolds Number, Nicholas Davis

Mechanical Engineering Research Theses and Dissertations

Oscillating fin flow has been a subject of study due to its simplicity and similarity to aquatic propulsion methods found in nature. At intermediate Reynolds numbers, in the range of 10 to 1000, drag tends to have a larger impact than at higher Reynolds numbers and the boundary layer thickness on the fin surface tends to be larger, which can alter the vortices shed during oscillation. To attempt to reduce these effects, an apparent slip condition may be placed on the surface of the fin. In this investigation, entrapment of pneumatically supplied air at a perforated fin surface was used …

Analyzing Performance, Energy Consumption, And Reliability Of Mobile Applications, Osama Barack

Computer Science and Engineering Theses and Dissertations

Mobile applications have become a high priority for software developers. Researchers and practitioners are working toward improving and optimizing the energy efficiency and performance of mobile applications due to the capacity limitation of mobile device processors and batteries. In addition, mobile applications have become popular among end-users, developers have introduced a wide range of features that increase the complexity of application code.

To improve and enhance the maintainability, extensibility, and understandability of application code, refactoring techniques were introduced. However, implementing such techniques to mobile applications affects energy efficiency and performance. To evaluate and categorize software implementation and optimization efficiency, several …

Deep Neural Network Based Student Response Modeling With Uncertainty, Multimodality And Attention, Xinyi Ding

Computer Science and Engineering Theses and Dissertations

In this thesis, I investigate deep neural network based student response modeling, more specifically Knowledge Tracing (KT). Knowledge Tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep neural network based knowledge tracing models like Deep Knowledge Tracing (DKT) and Dynamic Key-Value Memory Network (DKVMN) have achieved significant improvements compared with conventional probabilistic models. There are mainly two goals in this thesis: 1) To have a better understanding of existing deep neural network based models and their predictions through visualization and through incorporating uncertainties. 2) To improve the performance of …

Bayesian Semi-Supervised Keyphrase Extraction And Jackknife Empirical Likelihood For Assessing Heterogeneity In Meta-Analysis, Guanshen Wang

Statistical Science Theses and Dissertations

This dissertation investigates: (1) A Bayesian Semi-supervised Approach to Keyphrase Extraction with Only Positive and Unlabeled Data, (2) Jackknife Empirical Likelihood Confidence Intervals for Assessing Heterogeneity in Meta-analysis of Rare Binary Events.

In the big data era, people are blessed with a huge amount of information. However, the availability of information may also pose great challenges. One big challenge is how to extract useful yet succinct information in an automated fashion. As one of the first few efforts, keyphrase extraction methods summarize an article by identifying a list of keyphrases. Many existing keyphrase extraction methods focus on the unsupervised setting, …

Examining Multiple Imputation For Measurement Error Correction In Count Data With Excess Zeros, Shalima Zalsha

Statistical Science Theses and Dissertations

Measurement error and missing data are two common problems in wildlife population surveys. These data are collected from the environment and may be missing or measured with error when the observer’s ability to see the animal is obscured. Methods such as video transects for estimating red snapper abundance and aerial surveys for estimating moose population sizes are highly affected by these problems since total abundance will be underestimated if missing/mismeasured counts are ignored. We shall refer to this problem as visibility bias; it occurs when the true counts are observed when visibility is high, partially observed when visibility is low …

Responsible Energy Storage For A Renewable Electrical Grid, Matt Longacre

Seattle Journal of Technology, Environmental, & Innovation Law

The United States economy, its national security, and even the health and safety of its citizens depend on reliably available electricity. Electricity is largely available through the grid – more than 9,200 generating units, capable of generating more than one terawatt of electricity, connected to more than 600,000 miles of wire. The grid extends to nearly everything: from charging cellphones to cellphone towers, from light emitting diodes to street lights, and from parking meters to electric cars; the grid has become ubiquitous.

The current grid infrastructure has been valued at two trillion dollars, but much of it is aging to …

The Ftc And Ai Governance: A Regulatory Proposal, Michael Spiro

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

On The Basis Of Gender: Discrimination Against Transgender People In The Hiring Process, Aaron N. Baillargeon

Senior Honors Projects, 2020-current

The study investigated the effect of a job applicant’s gender identity (male or female) and gender history (cisgender or transgender) on the evaluated quality of the applicant and the likelihood of the applicant being hired for a vacant software engineer position. Participants from the worker pool of Amazon’s Mechanical Turk evaluated the quality of a fictitious job applicant based on a mock resume and background check created for the purposes of this study, then completed the Social Dominance Orientation. There was no significant effect of gender identity or gender history on the evaluated quality of the job applicant or on …

Alumnus Hopes To Help Students Avoid His Mistakes, David Magee

University of Mississippi News

No abstract provided.

Analysis Of Github Pull Requests, Canon Ellis

Computer Science and Engineering Theses and Dissertations

The popularity of the software repository site GitHub has created a rise in the Pull Based Development Models' use. An essential portion of pull-based development is the creation of Pull Requests. Pull Requests often have to be reviewed by an individual to be approved and accepted into the Master branch of a software repository. The reviewing process can often be time-consuming and introduce a relatively high level of lost development time. This paper examines thousands of pull requests to understand the most valuable metadata of pull requests. We then introduce metrics in comparing the metadata of pull requests to understand …

Detection Of Nucleotides In Hydrated Ssdna Via 2-D H-Bn Nanopore With Ionic-Liquid/Salt-Water Interface, Jungsoo Lee

Multidisciplinary Studies Theses and Dissertations

Accomplishing slow translocation speed with high sensitivity has been the greatest mission for solid-state nanopore (SSN) to electrically detect nucleobases in single-stranded DNA (ssDNA). In this study, a method to detect nucleobases in ssDNA using a SSN is introduced by considerably slowing down the translocation speed and effectively increasing its sensitivity. The ultra-thin titanium dioxide (TiO₂) coated hexagonal boron nitride (h-BN) nanopore was fabricated, along with an ionic-liquid [bmim][PF₆]/2.0 M KCl aqueous (cis/trans) interfacial system, to increase both the spatial and the temporal resolutions. As the ssDNA molecules entered the nanopore, a …

It's Not All About Me, Eric F. Spina

President's Blog: From the Heart

"I urge the Class of 2020 to use your education to serve others in ways that will change the narrative of our times," University of Dayton President Eric F. Spina told the Class of 2020 at the December commencement ceremony.

Published Research Documents In Nuclear And High Energy Physics From 1996-2019: A Bibliometric Analysis Of Leading Countries In Comparison With India, Ishwar Dutt Sharma Dr

Library Philosophy and Practice (e-journal)

A bibliometric analysis of scientific research production of the top five most productive countries in comparison with India in nuclear and high energy physics is presented during the period 1996-2019 using Scopus-linked SCImago electronic database. To validate the present study, some selected bibliometric indicators such as published documents, their citations and citations per document has been studied. In total, 769180 research documents were published worldwide in journal, conference proceedings and in book series. United States (16.47%), Germany(8.64%), Japan (6.65%), China (6.41%) and Russian Federation (5.89%) were the top most productive countries rankwise, whereas India ranked 10^th with 21157 research …

Multigrid For The Nonlinear Power Flow Equations, Enrique Pereira Batista

Mathematics Theses and Dissertations

The continuously changing structure of power systems and the inclusion of renewable
energy sources are leading to changes in the dynamics of modern power grid,
which have brought renewed attention to the solution of the AC power flow equations.
In particular, development of fast and robust solvers for the power flow problem
continues to be actively investigated. A novel multigrid technique for coarse-graining
dynamic power grid models has been developed recently. This technique uses an
algebraic multigrid (AMG) coarsening strategy applied to the weighted
graph Laplacian that arises from the power network's topology for the construction
of coarse-grain approximations to …

Modeling Fluid Phenomena In The Context Of The Constrained Vapor Bubble System, James Barrett

Mathematics Theses and Dissertations

This thesis focuses on the fluid phenomena observed within what is known as the constrained vapor bubble system. The constrained vapor bubble system is a closed system consisting of a quartz cuvette partially filled with liquid and used as a coolant device. Heat is applied to the heater end which causes the liquid to evaporate and condense on the cooled end of the cuvette. Liquid travels back to the heated end via capillary flow in the corners. A pure vapor bubble is formed in the center of the cuvette giving rise to the name of the experiment. The constrained vapor …

College 101: Sharing Experiences And Stories For Transformative Change, Christine Robinson

Journal of College Access

College 101 is powerful Pre-College Opportunity Program (PCoP) designed to expose at-risk high school students to the benefits of post-secondary education, to motivate them to stay in school, and to help them envision a future that includes post-secondary education. The unique features of College 101 include that it is grounded in the pedagogical approach of Real Talk (Hernandez, 2015), and that it is led mainly by College Positive Volunteers (CPVs). The goal of this study was to explore the experiences of at-risk high school students who engaged in the program at a mid-sized research university located in the Midwest. An …

Improving A Wireless Localization System Via Machine Learning Techniques And Security Protocols, Zachary Yorio

Masters Theses, 2020-current

The recent advancements made in Internet of Things (IoT) devices have brought forth new opportunities for technologies and systems to be integrated into our everyday life. In this work, we investigate how edge nodes can effectively utilize 802.11 wireless beacon frames being broadcast from pre-existing access points in a building to achieve room-level localization. We explain the needed hardware and software for this system and demonstrate a proof of concept with experimental data analysis. Improvements to localization accuracy are shown via machine learning by implementing the random forest algorithm. Using this algorithm, historical data can train the model and make …