Digital Commons Network^™

Improving Basic Cadet Training For Changing Environment: Case Study At The Korea Air Force Academy, Yoojin Kwon

Electronic Theses and Dissertations, 2020-2023

Increasing uncertainty, such as Covid-19 and weather changes, threatens BCT (Basic Cadet Training) at ROKAFA (Republic of Korea Air Force Academy). In preparation for the changing and adverse environment, this study carried out the following steps to propose a system improvement utilizing LVC (Live, Virtual, Constructive) in BCT system at ROKAFA; 1) Researching the examples of BCT and LVC by advanced countries, 2) Analyzing BCT (ROKAFA) through systems approach (document analysis, survey of 140 cadets and officers, written interviews with military experts), 3) Applying LVC to BCT. BCT is a vital step in the transition from civilian to military status …

Planeswalking: Magic: The Gathering Across Analog And Digital Platforms, Jack Murray

Electronic Theses and Dissertations, 2020-2023

This dissertation analyzes the relationship between Wizards of the Coast's trading card game Magic: The Gathering and its digital adaptations. I used critical technocultural, ludic discourse analysis, and ludic textual analysis to examine the analog trading card game and digital adaptations. I examined an archive of paratextual media including trade magazines, developer blogs, game reviews, and player guides. I chose Magic for its long history, impact on the analog game industry, and the sheer number of adaptations that have been produced. This analysis begins by introducing a method for describing analog to digital adaptations called Adaptation Mapping. Adaptation mapping describes …

A Study On Robustness And Semantic Understanding Of Visual Models, Madeline Chantry

Electronic Theses and Dissertations, 2020-2023

Vision models have improved in popularity and performance on many tasks since the emergence of large-scale datasets, improved access to computational resources, and new model architectures like the transformer. However, it is still not well understood if these models can be deployed in the real world. Because these models are "blackbox" architectures, we do not fully understand what these models are truly learning. An understanding of what models learn "underneath the hood" would result in better improvements for real-world scenarios. Motivated by this, we benchmark these impressive visual models using newly proposed datasets and tasks on their robustness and their …

Stochastic Modeling Of Physical Drag Coefficient – Its Impact On Orbit Prediction And Space Traffic Management, Smriti Nandan Paul, Phillip Logan Sheridan, Richard J. Licata, Piyush M. Mehta

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Ambitious satellite constellation projects by commercial entities and the ease of access to space in recent times have led to a dramatic proliferation of low-Earth space traffic. It jeopardizes space safety and long-term sustainability, necessitating better space domain awareness (SDA). Correct modeling of uncertainties in force models and orbital states, among other things, is an essential part of SDA. For objects in the low-Earth orbit (LEO) region, the uncertainty in the orbital dynamics mainly emanate from limited knowledge of the atmospheric drag-related parameters and variables. In this paper, which extends the work by Paul et al. (2021), we develop a …

Optimization Of Alternative Mask Absorber Materials For Euv Lithography, Rajiv Naresh Sejpal

Theses

In efforts to continuously scale feature dimensions in semiconductor manufacturing, the industry has moved from refractive optical lithography to reflective extreme ultra-violet lithography (EUVL). The latter provides a significant improvement in the resolution by illuminating mask patterns using 13.5nm source wavelength at oblique chief ray angles (CRA). A typical EUVL mask consists of a multilayer Bragg mirror topped with a 55-70nm Tantalum-based (Ta-based) absorber stack to obtain layout patterns. This current three-dimensional (3D) mask architecture in combination with a small source wavelength and oblique illumination angles results in mask 3D (M3D) effects such light shadowing, pitch dependent best focus variations, …

Electron Beam Lithography And Dimensional Metrology For Fin And Nanowire Devices On Ge, Sige And Geoi Substrates, Nikolay Petkov, Margarita Georgieva, Sinan Bugu, Ray Duffy, Brendan Mccarthy, Maksym Myronov, Ann-Marie Kelleher, Graeme Maxwell, Giorgos Fagas

Physical Sciences Publications

Until now there is no systematic study on the effect of the substrate type on the hydrogen silsesquioxane (HSQ) electron beam lithography (EBL) patterning process. We investigate arrays of line structures with varying width and spacing, starting at 10 nm, exposed at varying dose, and developed by salty NaOH and TMAH developers on group IV semiconductor substrates. We demonstrate that the HSQ EBL process on Ge is much more limited in achieving the smallest obtainable features, having optimal uniformity and fidelity, in comparison to Si. Monte-Carlo simulations of the e-beam/substrate interactions for “pure” Si and Ge substrates, and varying content …

Industries Based On The Petrochemical Industry In Iraq-Plastics Industry As A Model, Farah Mohammed Abdel Rahman, Faris Kareem Buraihi

Journal of Economics and Administrative Sciences

This study came to discuss the subject of industries dependent on petrochemical industries in Iraq (plastic as a model) during the period 2005–2020, and the study concluded that the plastic industries contribute to areas of advancement and progress and opportunities to deal efficiently with the challenges posed by the new variables, the most important of which is the information revolution. communications and trade liberalization, and this is what contributes to the competitiveness of these industries. And because the petrochemical industry in Iraq has an active role in establishing plastic industrial clusters and clusters of micro, small, and medium industries by …

Power Packet Networks For Wave Energy Converter Arrays, David G. Wilson, Raymond H. Byrne, Steven F. Glover, Tu Anh Nguyen, Rush Robinett, Wayne Weaver, Et. Al

Michigan Tech Patents

One of the biggest challenges for all renewable energy sources (RES) is that they are variable power generators which will require reactive power or energy storage systems (ESS) to provide reliable power quality (ideally power factor of one) at the power grid generation side. The present invention is directed to a power packet network (PPN) for integrating wave energy converter (WEC) arrays into microgrids. Specifically, an array of WECs can be physically positioned such that the incoming regular waves will produce an output emulating an N-phase AC system such that the PPN output power is constant. ESS requirements are thereby …

Hydrogen, Carbon Dioxide, And Methane Adsorption Potential On Jordanian Organic-Rich Source Rocks: Implications For Underground H2 Storage And Retrieval, Amer Alanazi, Hussein Rasool Abid, Muhammad Usman, Muhammad Ali, Alireza Keshavarz, Volker Vahrenkamp, Stefan Iglauer, Hussein Hoteit

Research outputs 2022 to 2026

Hydrogen (H₂) storage in geological formations offers a potential large-scale solution suitable for an industrial-scale hydrogen economy. However, the presence of organic residuals can significantly influence the H₂ storage efficiency, as well as cushion gas performance, such as CO₂ and CH₄, injected to maintain healthy reservoir pressure. Thus, the H₂ storage efficiency and cushion gas selectivity were thoroughly investigated in this work based on H₂, CO₂, and CH₄ adsorption measurements using, for the first time, actual organic-rich carbonate-rich Jordanian source rock samples (TOC = 13 % to 18 …

Performance Comparison Of Low-Cost Sensors Across Six Cities Of Continental United States, Md Hasibul Hasan

Electronic Theses and Dissertations, 2020-2023

In the field of air quality measurement, low-cost sensors have been extensively used for capturing high-resolution spatial and temporal pollutant concentrations. However, data accuracy and the impact of environmental conditions particularly temperature and relative humidity, remain a significant issue. Careful sensor calibrations against reference instruments are necessary for ensuring data accuracy and validity. This study investigated the effectiveness of multiple calibration methodologies (linear calibration, 3rd order polynomial calibration, and Random Forest, RF) for low-cost air quality sensor calibration across six cities (Atlanta, Portland, Riverside, Sacramento, New York City, and Phoenix) in the United States. The data for this study is …

Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti

Electronic Theses and Dissertations, 2020-2023

This dissertation seeks to design an optimization algorithm, based on naturalistic flight data, with emphasis on safety to perform a benefits' analysis when sequencing and scheduling aircraft at the runway. The viability of creating a decision-support tool to aid air traffic controllers in sequencing and optimizing airport operations is evaluated through the benefits' analysis. Air traffic control is a complex and critical system that ensures the safe and efficient movement of aircraft within the airspace. This is particularly true in the immediate vicinity of an airport. Unlike in en-route or terminal area airspace where aircraft usually traverse well established routes …

Impact Of Geroscience On Therapeutic Strategies For Older Adults With Cardiovascular Disease: Jacc Scientific Statement, James L Kirkland, Elena Volpi, George E Taffet, Nir Barzilai, Ambarish Pandey, Dalane W Kitzman, Peter Libby, Luigi Ferrucci

Faculty, Staff and Students Publications

Geroscience posits that cardiovascular disease (CVD) and other chronic diseases result from progressive erosion of the effectiveness of homeostatic mechanisms that oppose age-related accumulation of molecular damage. This hypothetical common root to chronic diseases explains why patients with CVD are often affected by multimorbidity and frailty and why older age negatively affects CVD prognosis and treatment response. Gerotherapeutics enhance resilience mechanisms that counter age-related molecular damage to prevent chronic diseases, frailty, and disability, thereby extending healthspan. Here, we describe the main resilience mechanisms of mammalian aging, with a focus on how they can affect CVD pathophysiology. We next present novel …

The Impact Of Organizational Innovation Climate On Sustainable Competitive Advantage- Empirical Study, Ibrahim Saleh Hassan, Feras Mohammed Ismaeel

Journal of Economics and Administrative Sciences

The problem of the research is that some companies lack the mechanisms and policies that to enhance the loyalty of these valuable resources, which led to difficulties in generating knowledge, producing, storing, investing and investing information to achieve a sustainable competitive advantage. In addition, companies are still working with the traditional wage system (monthly salaries), which makes people not think about adding value to work. The research aims to determine the level of variables for researchers to clarify the impact of the organizational innovation climate on sustainable competitive advantage. The Qualitative approach is used based on research. The research was …

Estimating Demand For Imported Food Categories In Iraq, Yaser Yaseen Abdullah, Rezgar Mostafa Mohammed

Journal of Economics and Administrative Sciences

Iraq is highly dependent on international markets to provide food for its residents. As imported food prices are highly dependent on crude oil prices in global markets, any shock in oil prices will have an impact on food consumption in the country. As a result, it is essential to study the demand for imported food at every time period. To the best of our knowledge as researchers, as not even a single study is available in the literature, this paper is considered the first to study the demand for imported food groups in Iraq. Therefore, the main objective of this …

A Neural-Network-Based Landscape Search Engine: Lse Wisconsin, Matthew Haffner, Matthew Dewitte, Papia F. Rozario, Gustavo A. Ovando-Montejo

Environment and Society Faculty Publications

The task of image retrieval is common in the world of data science and deep learning, but it has received less attention in the field of remote sensing. The authors seek to fill this gap in research through the presentation of a web-based landscape search engine for the US state of Wisconsin. The application allows users to select a location on the map and to find similar locations based on terrain and vegetation characteristics. It utilizes three neural network models—VGG16, ResNet-50, and NasNet—on digital elevation model data, and uses the NDVI mean and standard deviation for comparing vegetation data. The …

Enhancing Local Hydrological Services With The Geoglows Ecmwf Global Hydrologic Model, Jorge Luis Sanchez Lozano

Theses and Dissertations

Global hydrological models can fill crucial gaps for providing essential information on water resources management, flood and drought forecasting, and assessing the impacts of climate change. However, these models face several challenges that must be addressed to ensure their applicability at local scales. These challenges include effectively managing Big Data, proper communication, adoption, and achieving accuracy in their results. Achieving accuracy in global hydrological models is critical for acceptance in decision-making, but poses the most significant challenge due to the extensive amount of observed data required and the complexity of obtaining and preparing such data for model evaluation. In this …

Machine Learning Techniques For Analyzing Survival Data Of Breast Cancer Patients In Baghdad, Noor Ayad Mohammed, Entsar Arebe Fadam

Journal of Economics and Administrative Sciences

The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three …

Graph Modeling For Openflow Switch Monitoring, Ali Malik, Ruairí De Fréin

Articles

Network monitoring allows network administrators to facilitate network activities and to resolve issues in a timely fashion. Monitoring techniques in software-defined networks are either (i) active, where probing packets are sent periodically, or (ii) passive, where traffic statistics are collected from the network forwarding elements. The centralized nature of software-defined networking implies the implementation of monitoring techniques imposes additional overhead on the network controller. We propose Graph Modeling for OpenFlow Switch Monitoring (GMSM), which is a lightweight monitoring technique. GMSM constructs a flow-graph overview using two types of asynchronous OpenFlow messages: packet-in and flow-removed, which improve monitoring and decision making. …

Analyzing The System Features, Usability, And Performance Of A Containerized Application On Cloud Computing Systems, Anoop Abraham

Masters Theses (Archived)

This study analyzed the system features, usability, and performance of three serverless cloud computing platforms: Google Cloud’s Cloud Run, Amazon Web Service’s App Runner, and Microsoft Azure’s Container Apps. The analysis was conducted on a containerized mobile application designed to track real-time bus locations for San Antonio public buses on specific routes and provide estimated arrival times for selected bus stops. The study evaluated various system-related features, including service configuration, pricing, and memory & CPU capacity, along with performance metrics such as container latency, Distance Matrix API response time, and CPU utilization for each service. Easy-to-use usability was also evaluated …

Development Of A Group Contribution Method To Predict The Aqueous-Phase Reactivities Of Hydrated Electrons With Organic Compounds, Rose Daily, Daisuke Minakata

Michigan Tech Publications, Part 1

Hydrated electrons produced in aqueous-phase advanced reduction processes (ARPs) effectively destroy oxidized forms of environmentally relevant organic contaminants, including alkyl halides. Although the rate constants of hydrated electrons with various organic compounds have been experimentally measured and compiled in the literature, no mechanistic prediction tools have been developed. Given that numerous organic compounds are used in commercial production, a prediction tool for the fate of organic compounds in the aqueous-phase ARPs will be useful. This study focused on developing a group contribution method for hydrated electrons (GCMe) to predict the second-order rate constants with aliphatic and aromatic compounds. The GCMe …

Nanoformulations Of Essential Oils Extracted From Pistacia Lentiscus And Boswellia Sacra And Investigation Of Their Anticancer, Antimicrobial, And Antioxidant Activities., Obaydah Abd Alkader Alabrahim

Theses and Dissertations

Essential oils (EOs) obtained from natural sources have shown promising biological and therapeutical properties such as anticancer, antimicrobial, and antioxidant activities, attributing to their high content of a variety of bioactive components. However, EOs’ therapeutic properties are limited by their low stability, poor bioavailability, high volatility, and low targeting ability. Therefore, the encapsulation and nanoformulation of EOs can maximize their therapeutical efficiency and physicochemical properties while overcoming their undesirable side effects and drawbacks. EOs extracted from the resins of Pistacia Lentiscus var. Chia (P.oil) and Boswellia Sacra (B.oil) are two promising EOs that have shown great therapeutic potential. P.oil was …

Effect Of Feeding Frequency On Growth, Fecundity, And Meat Quality Of Abant Trout (Salmo Abanticus Tortonese, 1954) Broodstock, Mehmet Zeki̇ Alkan, Nadi̇r Başçinar

Turkish Journal of Veterinary & Animal Sciences

This study was carried out to investigate the growth data, egg production and changes in the biochemical structure of meat of Abant trout depending on feeding frequency (once a day, twice a day, three times a day, four times a day) in order to contribute to the economy through the private sector. All fish in the groups were planned to be of similar weight at the beginning of the study. Individual fish weights were measured at the beginning of the study, and the average was found to be 224.87 ± 0.69 g. At the end of the study, the weights …

Use Of Smartphone For Access To Digital Information Resources And Services By University Academics: A Survey Of Faculty Members Of Modibbo Adama University, Yola, Nigeria, Babangida Umar Babayi, Murtala Aliyu

Library Philosophy and Practice (e-journal)

The study investigates the use of Smartphone for Digital Information Resources and Services Access by University Academics: A Survey of Faculty Members of Modibbo Adama University, Yola Nigeria. The study was guided by six objectives, six research questions and three hypothesises were tested at 0.05 level of significance. The study adopted survey research method. Questionnaire was used as the method of data collection. The population for this study is 648 academics. The study adopted simple random sampling techniques. The collected data was analysed by inferential statistics, and hypothesis was tested at 0.05 level of significance, the study among others revealed …

A Review Of Literature On Use Of Public Libraries In Preparation For Competitive Examinations In Karnataka, Shivaraja O, Padmamma S

Library Philosophy and Practice (e-journal)

The education system in India is fast developing; educational institutes and various government departments conduct different types of exams in India to select the ideal candidates. Millions of students attend these exams every year to get jobs. The aspirants are required to use essential information resources to prepare for competitive examinations. In recent years, public libraries have become the primary source of resources for students, job seekers, and the general public. As a result, the current study examines the use of public libraries in the preparation for competitive examinations through a comprehensive evaluation of academic research papers. This research article …

Placebo Effects Of Transcranial Direct Current Stimulation On Motor Skill Acquisition, Nicole K. Haikalis, Andrew Hooyman, Peiyuan Wang, Ayoub Daliri, Sydney Y. Schaefer

Physical Therapy Faculty Articles and Research

Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique used in neurorehabilitation to enhance motor training. However, its benefits to motor training can be difficult to reproduce across research studies. It is possible that the observed benefits of tDCS are not directly related to the intervention itself but rather to the brain-mind responses elicited by the treatment context, commonly known as a placebo effect. This study investigated the presence of a placebo effect of tDCS on motor training and explored potential underlying factors. Sixty-eight participants who were right-handed were randomly assigned to active tDCS, sham tDCS, or a …

Compass: Joint Copy Number And Mutation Phylogeny Reconstruction From Amplicon Single-Cell Sequencing Data, Etienne Sollier, Jack Kuipers, Koichi Takahashi, Niko Beerenwinkel, Katharina Jahn

Faculty, Staff and Student Publications

Reconstructing the history of somatic DNA alterations can help understand the evolution of a tumor and predict its resistance to treatment. Single-cell DNA sequencing (scDNAseq) can be used to investigate clonal heterogeneity and to inform phylogeny reconstruction. However, most existing phylogenetic methods for scDNAseq data are designed either for single nucleotide variants (SNVs) or for large copy number alterations (CNAs), or are not applicable to targeted sequencing. Here, we develop COMPASS, a computational method for inferring the joint phylogeny of SNVs and CNAs from targeted scDNAseq data. We evaluate COMPASS on simulated data and apply it to several datasets including …

A Multidimensional Connectomics- And Radiomics-Based Advanced Machine-Learning Framework To Distinguish Radiation Necrosis From True Progression In Brain Metastases, Kristin J Redmond, Lawrence R Kleinberg

Faculty, Staff and Student Publications

We introduce tumor connectomics, a novel MRI-based complex graph theory framework that describes the intricate network of relationships within the tumor and surrounding tissue, and combine this with multiparametric radiomics (mpRad) in a machine-learning approach to distinguish radiation necrosis (RN) from true progression (TP). Pathologically confirmed cases of RN vs. TP in brain metastases treated with SRS were included from a single institution. The region of interest was manually segmented as the single largest diameter of the T1 post-contrast (T1C) lesion plus the corresponding area of T2 FLAIR hyperintensity. There were 40 mpRad features and 6 connectomics features extracted, as …

Latitudinal Variation In The Potential Activity Of Atlantic Ocean Bacterioplankton Revealed Through 16s Rrna And 16s Rrna Gene Metabarcoding, Ro Allen, Kimberley E. Bird, J. Colin Murrell, Michael Cunliffe

School of Biological and Marine Sciences

The activities of bacterioplankton sustain open ocean biogeochemical and ecological processes, however, little is known about the activity of specific bacterioplankton, especially related to their biogeography across oceanic scales. The Atlantic is the second largest of the world’s oceans and has an essential role in the global carbon cycle. Here, we show congruence in the structure of 16S rRNA and 16S rRNA gene derived bacterioplankton communities throughout the Atlantic Ocean from temperate to tropical regions. We used 16S rRNA:16S rRNA gene ratios as a phylogenetically resolved proxy for potential activity, demonstrating ocean-scale patterns of putative oligotrophy and copiotrophy in major …

Discovery And Targeting Of A Noncanonical Mechanism Of Sarcoma Resistance To Adi-Peg20 Mediated By The Microenvironment, Leonard C Rogers, Jeff C Kremer, Caitlyn B Brashears, Zongtao Lin, Alliny C S Bastos, Adriana Baker, Nicole Fettig, Dong Zhou, Kooresh I Shoghi, Carina A Dehner, John S A Chrisinger, Benjamin A Garcia, Toshinao Oyama, Brian A Van Tine, Et Al.

2020-Current year OA Pubs

PURPOSE: Many cancers lack argininosuccinate synthetase 1 (ASS1), the rate-limiting enzyme of arginine biosynthesis. This deficiency causes arginine auxotrophy, targetable by extracellular arginine-degrading enzymes such as ADI-PEG20. Long-term tumor resistance has thus far been attributed solely to ASS1 reexpression. This study examines the role of ASS1 silencing on tumor growth and initiation and identifies a noncanonical mechanism of resistance, aiming to improve clinical responses to ADI-PEG20.

EXPERIMENTAL DESIGN: Tumor initiation and growth rates were measured for a spontaneous Ass1 knockout (KO) murine sarcoma model. Tumor cell lines were generated, and resistance to arginine deprivation therapy was studied in vitro and …

Policy Formulation For Managing Ship-Generated Plastic Waste Via Improved Port Reception Facility Governance, Rika Kurniaty, Setyo Widagdo, Yasniar Rachmawati Madjid, Rafly Reyhan Al Kharji, Arsella Imanda Putri

Indonesian Journal of International Law

Plastic is a significant portion of marine debris, ranging from 60% to 80%. Historically, ships have been a major contributor to plastic pollution in the ocean, followed by Indonesia, which is acknowledged as the second-largest originator. Global efforts to combat marine pollution, including plastic waste, have been undertaken through international agreements like MARPOL Annex V. This agreement has mandated countries to establish suitable port facilities for ship-generated wastes. However, an assessment of Indonesian ports indicated insufficient compliance with environmental management standards, particularly in waste handling. The current direct fee policy for waste disposal may disincentivize proper waste disposal by ship …