Digital Commons Network^™

Beyond The Unknown: A Broad Framing For Preparedness For Emerging Infectious Threats, Rebecca C. Christofferson, Stephania A. Cormier

Division of Basic Science Faculty Publications

There have been multiple instances of novel pathogen emergence that have affected the health and security of the global community. To highlight that these novel pathogens presented a clear danger to public health, the WHO included “Disease X” on their list of priority pathogens in 2018. Indeed, since the emergence of SARS-CoV-2, Disease X has been pointed to as the looming threat of “the next big thing.” However, developing surveillance and preparedness plans with Disease X as the linchpin is too narrow and ignores a large swath of potential threats from already identified, often neglected diseases. We propose instead the …

The Trend Of Disruption In The Functional Brain Network Topology Of Alzheimer’S Disease, Alireza Fathian, Yousef Jamali, Mohammad Reza Raoufy, Michael W. Weiner, Norbert Schuf, Howard J. Rosen, Bruce L. Miller, Thomas Neylan, Jacqueline Hayes, Shannon Finley, Paul Aisen, Zaven Khachaturian, Ronald G. Thomas, Michael Donohue, Sarah Walter, Devon Gessert, Tamie Sather, Gus Jiminez, Leon Thal, James Brewer, Helen Vanderswag, Adam Fleisher, Melissa Davis, Rosemary Morrison, Ronald Petersen, Cliford R. Jack, Matthew Bernstein, Bret Borowski, Jef Gunter, Matt Senjem, Prashanthi Vemuri, David Jones, Kejal Kantarci, Chad Ward

Clinical Research Faculty Publications

Alzheimer’s disease (AD) is a progressive disorder associated with cognitive dysfunction that alters the brain’s functional connectivity. Assessing these alterations has become a topic of increasing interest. However, a few studies have examined different stages of AD from a complex network perspective that cover different topological scales. This study used resting state fMRI data to analyze the trend of functional connectivity alterations from a cognitively normal (CN) state through early and late mild cognitive impairment (EMCI and LMCI) and to Alzheimer’s disease. The analyses had been done at the local (hubs and activated links and areas), meso (clustering, assortativity, and …

Non-Destructive Quality Evaluation Of Tropical Fruit (Mango And Mangosteen) Purée Using Near-Infrared Spectroscopy Combined With Partial Least Squares Regression, Pimpen Pornchaloempong, Sneha Sharma, Thitima Phanomsophon, Kraisuwit Srisawat, Wasan Inta, Panmanas Sirisomboon, Witoon Prinyawiwatkul, Natrapee Nakawajana, Ravipat Lapcharoensuk, Sontisuk Teerachaichayut

Faculty Publications

Mango and mangosteen are commercially important tropical fruits with a short shelf life. Fruit processing is one of the alternatives to extend the shelf life of these fruits. Purée is one of the processed products of fresh fruit. In this research, the quality of mango and mangosteen purée was analyzed. Titratable acidity (TA) and total soluble solids (TSS) were predicted using non-destructive near-infrared (NIR) spectroscopy. A partial least squares regression (PLSR) model was developed based on the NIR spectra with a wavelength ranging from 800 to 2500 nm. The PLSR model returned a coefficient of determination (r2) and a ratio …

Improving Customer Satisfaction For Smes In Emerging Countries: A Comparative Study Of Hungary And Indonesia, Santi Setyaningsih, Peter Kelle

Faculty Publications

Improving Customer Satisfaction (CS) is a key strategical goal for companies, especially for Small and Medium-Sized Enterprises (SMEs). The objective of this research is to find and rank the major factors supporting CS. We focus on SMEs in two emerging markets located in two countries with different geographical and supply chain environments. We test a conceptual framework that includes several factors supporting CS. The data were collected from Hungarian and Indonesian SMEs by online questionnaire. We used statistical analysis such as Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Model (SEM) to test our model and hypothesis. …

Angles Between Subspaces And Nearly Optimal Approximation In Gfem, Robert Lipton, Paul Sinz, Michael Stuebner

Faculty Publications

The Generalized Finite Element Methods (GFEM) are known for accurately resolving local features in heterogeneous media. Recent numerical experiments have shown that the use of local bases made from A-harmonic extensions of well chosen boundary data have nearly optimal approximation properties. In this paper we show that the explanation is geometric and given by the angle between any finite dimensional approximation space and the optimal finite dimensional approximation space introduced in (Babǔska and Lipton, 2011). The effect of the angle is quantified by an upper bound on the convergence rate. This rate is seen in the numerical simulations where local …

Nuclear Forces For Precision Nuclear Physics: A Collection Of Perspectives, Ingo Tews, Zohreh Davoudi, Andreas Ekström, Jason D. Holt, Kevin Becker, Raúl Briceño, David J. Dean, William Detmold, Christian Drischler, Thomas Duguet, Evgeny Epelbaum, Ashot Gasparyan, Jambul Gegelia, Jeremy R. Green, Harald W. Grießhammer, Andrew D. Hanlon, Matthias Heinz, Heiko Hergert, Martin Hoferichter, Marc Illa, David Kekejian, Alejandro Kievsky, Sebastian König, Hermann Krebs, Kristina D. Launey, Dean Lee, Petr Navrátil, Amy Nicholson, Assumpta Parreño, Daniel R. Phillips, Marek Płoszajczak, Xiu Lei Ren, Thomas R. Richardson

Faculty Publications

This is a collection of perspective pieces contributed by the participants of the Institute for Nuclear Theory’s Program on Nuclear Physics for Precision Nuclear Physics which was held virtually from April 19 to May 7, 2021. The collection represents the reflections of a vibrant and engaged community of researchers on the status of theoretical research in low-energy nuclear physics, the challenges ahead, and new ideas and strategies to make progress in nuclear structure and reaction physics, effective field theory, lattice QCD, quantum information, and quantum computing. The contributed pieces solely reflect the perspectives of the respective authors and do not …

Smart Quantum Statistical Imaging Beyond The Abbe-Rayleigh Criterion, Narayan Bhusal, Mingyuan Hong, Ashe Miller, Mario A. Quiroz-Juárez, Roberto De J. León-Montiel, Chenglong You, Omar S. Magaña-Loaiza

Faculty Publications

The wave nature of light imposes limits on the resolution of optical imaging systems. For over a century, the Abbe-Rayleigh criterion has been utilized to assess the spatial resolution limits of imaging instruments. Recently, there has been interest in using spatial projective measurements to enhance the resolution of imaging systems. Unfortunately, these schemes require a priori information regarding the coherence properties of “unknown” light beams and impose stringent alignment conditions. Here, we introduce a smart quantum camera for superresolving imaging that exploits the self-learning features of artificial intelligence to identify the statistical fluctuations of unknown mixtures of light sources at …

Environment And Sustainability: December 2022, Environment And Sustainability, Office Of The President

Environment and Sustainability Archives

• Recently installed solar panels in Nairobi;

• Upcoming “Meatless Mangal” campaign;

• Engagement of leaders and employees in sustainability workshops;

• Closing of President’s Challenge for Climate Solutions;

• Plastic bag phase-out at BASIC shop;

• And much more…

Disease Recognition In X-Ray Images With Doctor Consultation-Inspired Model, Kim Anh Phung, Thuan Trong Nguyen, Nileshkumar Wangad, Samah Baraheem, Nguyen D. Vo, Khang Nguyen

Computer Science Faculty Publications

The application of chest X-ray imaging for early disease screening is attracting interest from the computer vision and deep learning community. To date, various deep learning models have been applied in X-ray image analysis. However, models perform inconsistently depending on the dataset. In this paper, we consider each individual model as a medical doctor. We then propose a doctor consultation-inspired method that fuses multiple models. In particular, we consider both early and late fusion mechanisms for consultation. The early fusion mechanism combines the deep learned features from multiple models, whereas the late fusion method combines the confidence scores of all …

Smce Model For Commercial Areas Suitability In Serang City, Salsa Muafiroh, Adi Wibowo

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Commercial areas refer to specific zones designated for business activities, such as trade, retail, and industry, which play a critical role in supporting regional economic development. In the case of Serang City, the government has planned its development as a hub for commerce and industry. However, selecting an optimal location for commercial areas involves addressing challenges related to multiple criteria and alternative options, each with varying advantages and trade-offs, which often complicates the decision-making process. This research aims to analyze spatial modeling using simulations based on the Spatial Multi-Criteria Evaluation (SMCE) method, supported by ILWIS software to determine the most …

The Pacifican December 2022, University Of The Pacific

All Issues - Student Newspaper, The Pacifican, Pacific Weekly

No abstract provided.

Assessment Of Blood Pressure And Postural Control Mechanisms In Parkinson’S Disease During An Orthostatic Challenge, Rabie Fadil

Theses and Dissertations

Upon standing, 500–1000 mL of blood shifts from the central body compartments to the lower extremities and splanchnic circulation, leading to a decreased venous return to the heart, reduced cardiac output, and a consequent decline in blood pressure. In healthy individuals, the drop in blood pressure is quickly compensated via regulatory mechanisms. On the other hand, people with Parkinson’s disease may experience impaired reflex responses and a persistent drop in blood pressure (orthostatic hypotension, OH), leading to visual disturbances, loss of consciousness, postural instability, and fainting. Parkinson’s disease patients have impaired balance and gait control as a symptom of the …

Optical Control System For Atmospheric Turbulence Mitigation, Martyn Lemon

All Theses

Propagation of laser light is distorted in the presence of atmospheric turbulence. This poses an issue for sensing, free-space optical communications, and transmission of power. With an ever-increasing demand for high-speed data communications, particularly between satellites, unmanned vehicles, and other systems that benefit from a point-to-point link, this issue is critical for the field. A variety of methods have been proposed to circumvent this issue. Some major categories include the manipulation of the light’s structure, an adaptive scheme at the optical receiver, scanning mirror systems, or a transmission of simultaneous signals with a goal to improve robustness.

There is an …

The Relationship Among Learners’ At-Risk Indicators And Ninth Grade Algebra I Achievement, Sara E. Tudon

Theses and Dissertations

The purpose of this research is to examine the relationship between at-risk indicators including socioeconomic status, English language learners (ELL), and gender to student performance in the Algebra I End of Course assessment. The research questions presented in the non-experimental quantitative research design were: (1) What is the impact of socioeconomic status on the Algebra I EOC exam? (2) What is the success rate of ninth grade students identified as English Language Learners (ELL) compared to non-identified ninth grade students in Algebra I? and (3) What is the difference in ninth grade Algebra I achievement between males and females? (4) …

Reccurent Neural Network For The Detection Of Odontocetes, Christopher Michael Foster

Master's Theses and Capstones

This research project explores the ability of a Recurrent Neural Network to detect Odontocetecalls. With the current degree of climate change impacting the planet, being able to better track and locate highly mobile endangered species is imperative. An example of such a species is the Sperm Whale, which is listed as endangered under the United States Endangered Species Act, that migrate annually and have a range that extends through all the world’s oceans. Current methods of detection require a great deal of manual interaction and skill on behalf of the identifier. Automating this process would enable easier tracking and aid …

Spf-R Online User Guide, Eric Green, Paul Ross, Christopher Blackden, William Staats, Reginald Souleyrette

Kentucky Transportation Center Research Report

SPF-R Online greatly improves and simplifies the SPF development process. Building on the original SPF-R script, the online tool eliminates many of the technical barriers associated with the original process, allowing for a much larger audience to take advantage of SPF-R’s capabilities. Like the original SPF-R script, SPF-R Online lets users quickly explore the effect of roadway network heterogeneity on SPF development, compare CURE plots , and compare goodness-of-fit measures to decide which SPF is most appropriate for a given dataset.

Bevers: A General, Simple, And Performant Framework For Automatic Fact Verification, Mitchell Dehaven

School of Computing: Dissertations, Theses, and Student Research

Fact verification has become an important process, primarily done manually by humans, to verify the authenticity of claims and statements made online. Increasingly, social media companies have utilized human effort to debunk false claims on their platforms, opting to either tag the content as misleading or false, or removing it entirely to combat misinformation on their sites. In tandem, the field of automatic fact verification has become a subject of focus among the natural language processing (NLP) community, spawning new datasets and research. The most popular dataset is the Fact Extraction and VERification (FEVER) dataset. In this thesis an end-to-end …

Teachers Productivity In Nigerian Primary Schools: A Critical Analysis In The 21st Century, Ugochukwu Mercy Prince-Ifoh

Young African Leaders Journal of Development

Teacher productivity is a nagging issue in education. The teacher – as the most important factor in the business of teaching and learning – shapes the direction and influences, to a great extent, other educational inputs to achieve the stated goals of the education industry. All over the globe today, we have continued to see National Development being intricately tied to educational development – and the teacher is the critical element. Many countries of the world have realised this critical role of teachers in the educational process, and have started investing hugely on the teacher and fine-tuning his/her skills and …

Analysis Of Precipitation Reversals Over The State Of Arkansas, Mallory Hoff

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

Recent studies have examined hydroclimate precipitation reversals, but because it is a newly defined concept, there is minimal research available on how reversals are changing, and it has not been widely investigated. Precipitation reversal is the rapid switch between wet and dry periods or “precipitation extremes and the opposite” (McKay, 2018), based on precipitation measurements in this case. A single reversal is the immediate transition from a wet to a dry period or from a dry to a wet period. Changes in reversals have not been thoroughly reported and this gap in research creates a risk of unpredictable conditions that …

En’S Adventure: Exploring Modern Design Mechanics In Retro Adventure Games, Frank Fasola

Theses

This project focuses creating a small game prototype that can be used to build a full game around. The primary focus is to create a short experience to establish the mechanics and gameplay of the game. Games made in the style of retro games are released every year, but most of these games strive to provide the same experience from the late 1980s. The project is a top down 2D retro adventure game made using modern techniques and learning from game development in the 30 years since these games were released.

The Rise Of Terrorism In Africa And What It Means For U.S. Policymakers, Bridget Mary Hughes

Master's Theses

This thesis utilizes three case studies to measure the rise of terrorism in Africa. This qualitative data leads the reader to one ultimate question: what does the rise in terrorism in Africa mean for the United States (U.S.) and U.S. policymakers, National Security academia, students in National Security, if anything at all? The answer is: if civilian and military compounds are being targeted by these violent extremists, as these three case studies demonstrate, it is my recommendation that U.S. policymakers cease sending troops to the African theater and, instead, allocate funding to the citizens and nonprofits of the countries whom …

Put Down The Phone! The Standard For Witness Interviews Is In-Person, Face-To-Face, One-On-One, Sean D. O'Brien, Quinn C. O'Brien, Dana Cook

Hofstra Law Review

The article focuses on professional standards for investigative interviews, the social science supporting the in-person, face-to-face interview standard. It mentions standards that apply to capital mitigation work, the problems created by remote witness interviews are not unique to death penalty work. It also mentions police officers, social workers, parole officers, and defense investigators knock on doors and mental health experts investigated prevailing standards of performance.

Watching The Watchmen: An Ethical Evaluation Of The Behavior Of Modern Software Applications, Joshua Graves

University Honors Program Senior Projects

Software has become a ubiquitous element of modern life around the world. An unprecedented amount of power is bestowed upon the companies that own and operate that software. The obvious question arises: “Do these companies operate in an ethical manner regarding their software?” We derive an ethical code via synthesizing the ethical codes of both the IEEE and the ACM, disregarding principles that cannot be examined by an outside observer. We utilize this ethical code to examine five leaders in the software industry, namely Facebook, Google, Microsoft, Twitter, and Amazon. For each company, we examine four incidents in which they …

Minutes, Faculty Research And Development Committee Meeting, Thursday, December 1, 2022, Faculty Research And Development Committee

Faculty Research and Development Committee Minutes

No abstract provided.

Characterization Of An Amine-Thiol Cosolvent System : Ethylenediamine And Mercaptoethanol, Fernanda Giongo Fernandes

Legacy Theses & Dissertations (2009 - 2024)

Since its introduction, the amine-thiol cosolvent system has been successfully utilized for the deposition of various thin-film devices, but its mechanism of action is still uncertain. Herein, we have attempted to dissect some of the chemical characteristics of amine-thiol cosolvents, with a special interest taken towards a mixture of ethylenediamine (en) and mercaptoethanol (ME). Conductivity was measured for multiple amine-thiol combinations at different ratios to determine extent of ionization in solution, with en-ME having one of the highest solution conductivities. Exposing the solution to air for several days was found to decrease the conductivity of en-ME, indicating the formation of …

Probability Distributions Of The Scalar Potential, Candace Mathews

Legacy Theses & Dissertations (2009 - 2024)

In the study of cosmological inflation, string theory and supersymmetry have motivated a wide range of possible inflationary models. These models can be parameterized by a scalar potential V, which is a function of N scalar fields, and determines cosmological parameters such as the vacuum stability and energy density. In principle, we can determine V through high energy physics, such as string theory. In practice, though we may not know the details of V we might have clues about a distribution of plausible V’s, which we can build statistics on to further analyze. The purpose of this thesis defense is …

Maker Programs In Prek-12 School Libraries : Identifying The Drivers And Consequences, Shannon Mersand

Legacy Theses & Dissertations (2009 - 2024)

In 2005, Dale Dougherty and O’Reilly Media founded Make Magazine, and coined the term Makerspace, which is broadly defined as a community workspace where people come together to solve problems using materials and tools they might otherwise not have access to (Dougherty, 2012). Recently, schools have allocated funding and resources into creating and maintaining maker programs in classrooms and libraries. Despite the overwhelming discussion of making and makerspaces in library practitioner-oriented publications, there is little scholarly discussion of maker programs in PreK-12 school libraries. This research addresses that gap by examining makerspaces in libraries in PreK-12 public schools in New …

Improving Detection And Classification Of Steady-State Visual Evoked Potentials In Brain-Computer Interfaces, Hadi Habibzadeh

Legacy Theses & Dissertations (2009 - 2024)

Brain-computer interfaces (BCIs) provide an alternative communication channel to send computer commands without requiring any voluntary muscle control. They benefit people with limited communication capabilities due to motor function deficits, spinal cord injuries, and neurological disorders. They may also have applications for healthy individuals.

Motion Planning Under Uncertainties, Sourav Dutta

Legacy Theses & Dissertations (2009 - 2024)

A robot is an agent that can bring some changes to the environment around it. Motion planning is the problem of carrying out specialized tasks by a robot by either moving itself or some other object (usually called \textit{payload}) from one place to another. In a real-world scenario, a robot is faced with constraints such as momentum, friction, sensor inaccuracies, etc., that can affect its decision-making while performing specialized tasks. These constraints are identified as uncertainties, and successful planning involves making provisions for such uncertainties. In this work, we present methods like stochastic processes, sequential inference, and pattern recognition to …

The Simulated Sensitivity Of The North American Monsoon At Convection-Permitting Scales, Brendan Wallace

Legacy Theses & Dissertations (2009 - 2024)

The North American Monsoon (NAM) is a major contributor to annual rainfall for large portions of the North American Southwest. Much of the prior work examining the NAM using numerical models has been done at scales exceeding 20-km grid spacing. At these coarse scales, unresolved processes and poorly resolved geographic features can impact model performance. This can present a problem when simulating the NAM particularly with regard to orographic precipitation, precipitation on sub-daily timescales, and land surface-atmosphere interactions. This dissertation seeks to better understand the NAM through examination of several sets of convection-permitting regional climate model output. The primary goal …