Physical Sciences and Mathematics Commons^™

Uncertainty Quantification For Results Of Ai-Based Data Processing: Towards More Feasible Algorithms, Christoph Q. Lauter, Martine Ceberio, Vladik Kreinovich, Olga Kosheleva

Departmental Technical Reports (CS)

AI techniques have been actively and successfully used in data processing. This tendency started with fuzzy techniques, now neural network techniques are actively used. With each new technique comes the need for the corresponding uncertainty quantification (UQ). In principle, for both fuzzy and neural techniques, we can use the usual UQ methods -- however, these techniques often require an unrealistic amount of computation time. In this paper, we show that in both cases, we can use specific features of the corresponding techniques to drastically speed up the corresponding computations.

Interaction Of ΒL- And Γ-Crystallin With Phospholipid Membrane Using Atomic Force Microscopy, Nawal K. Khadka, Preston Hazen, Dieter Haemmerle, Laxman Mainali

Physics Faculty Publications and Presentations

Highly concentrated lens proteins, mostly β- and γ-crystallin, are responsible for maintaining the structure and refractivity of the eye lens. However, with aging and cataract formation, β- and γ-crystallin are associated with the lens membrane or other lens proteins forming high-molecular-weight proteins, which further associate with the lens membrane, leading to light scattering and cataract development. The mechanism by which β- and γ-crystallin are associated with the lens membrane is unknown. This work aims to study the interaction of β- and γ-crystallin with the phospholipid membrane with and without cholesterol (Chol) with the overall goal of understanding the role of …

Identification Of Significant Gene Expression Changes Incorporating Heterogeneity In Perturbation Experiments, Katharine Cross

Honors Projects in Biological and Biomedical Sciences

Machine learning methods have been widely applied to the field of genomics and bioinformatics. Specifically utilizing novel machine learning algorithms to study gene-drug interactions has the potential to make a major positive impact on new drug discovery. It is possible that heterogeneity may exist within Vorinostat drug perturbation experiments due to the effects of the perturbations on the gene expressions. Thus, the challenge is to identify the most important genes in a high-dimensional setting while first identifying subpopulations to address population heterogeneity. In this work, clustering techniques are applied to first identify group sub-population structures in the gene expression changes …

Correlation Between Scores On The Assessment And Learning In Knowledge Spaces Placement, Preparation, And Learning Test And General Chemistry Course Outcomes For Undergraduate Students At A Public Midsize Master's University, Crystal Kaye Keso

All NMU Master's Theses

This study examined the problem of gateway courses in Science, Technology, Engineering, and Mathematics (STEM), specifically, high-enrollment introductory chemistry courses with high rates of D, F, withdrawal, or incomplete grades. Previous research revealed a correlation between students’ prior mathematics knowledge and introductory chemistry course outcomes. Reports using the Assessment and Learning in Knowledge Spaces Placement, Preparation, and Learning (ALEKS PPL) test were limited in number. This study conducted a non-experimental retrospective correlational analysis between undergraduate students’ ALEKS PPL test scores and introductory chemistry course grades. The study’s theoretical framework was grounded in prerequisite and placement testing theories. The major findings …

Usually, Either Left And Right Brains Are Equally Active Or Only One Of Them Is Active: First-Principles Explanation, Julio C. Urenda, Vladik Kreinovich

Departmental Technical Reports (CS)

It is known that in most practical situations, either both left and right brains are equally active, or only one of them is active. A recent paper showed that this empirical phenomenon can be explained by a realistic model of the brain effectiveness. In this paper, we show that this conclusion can be made without any specific assumptions about the brain, based on first principles.

Which Random-Set Representation Of A Fuzzy Set Is The Simplest?, Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen

Departmental Technical Reports (CS)

One of the ways to elicit membership degrees is by polling. For example, we ask a group of people how many believe that 30 C is hot. If 8 out of ten say that it is hot, we assign the degree 8/10 to the statement "30 C is hot". In precise mathematical terms, polling can be described via so-called random sets. It is known that every fuzzy set can be obtained this way, i.e., that every fuzzy set can be represented by an appropriate random set. Moreover, it is known that for many fuzzy sets, there are several different random-set …

Impact Of Common Face Mask Regeneration Processes On The Structure, Morphology And Aerosol Filtration Efficiency Of Porous Flat Sheet Polysulfone Membranes Fabricated Via Nonsolvent-Induced Phase Separation (Nips), Ebuka A. Ogbuoji, Anastasia Myers, Amber Haycraft, Isabel Escobar

UK CARES Faculty Publications

The potential of flat sheet polymeric membranes as a sustainable solution for reusable facemask filters was investigated by analyzing the effect of common face mask regeneration processes on polysulfone (PSf) membranes’ structure, morphology, and aerosol filtration efficiency. The impact of regeneration processes, such as isopropanol (IPA), detergent and bleach washes, and ultraviolet light exposure, was for the first time compared between surgical masks, N95 masks and flat sheet PSf membranes. The PSf membranes were fabricated via non- solvent induced phase separation (NIPS), and demonstrated a higher particulate filtration efficiency (99.06 ± 1.38%) for PM0.3 i.e., particulate matter of 0.3 μm …

2023 - The Fourth Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2023 Symposium of Student Scholars, held in November 2023. Includes abstracts from the presentations and posters.

Limitations And Possibilities Of Digital Restoration Techniques Using Generative Ai Tools: Reconstituting Antoine François Callet’S Achilles Dragging Hector’S Body Past The Walls Of Troy, Charles O'Brien, James Hutson, Trent Olsen, Jay Ratican

Faculty Scholarship

Digital restoration offers new avenues for conserving historical artworks, yet presents unique challenges. This research delves into the balance between traditional restoration methods and the use of generative artificial intelligence (AI) tools, using Antoine François Callet’s portrayal of Achilles Dragging Hector’s Body Past the Walls of Troy as a case study. The application of Easy Diffusion and Stable Diffusion 2.1 technologies provides insights into AI-driven restoration methods such as inpainting and colorization. Results indicate that while AI can streamline the restoration process, repeated inpainting can compromise the painting’s color quality and detailed features. Furthermore, the AI approach occasionally introduces unintended …

Chain Conformation And Exciton Delocalization In A Push-Pull Conjugated Polymer, Yulong Zheng, Rahul Venkatesh, Connor P. Callaway, Campbell Viersen, Kehinde H. Fagbohungbe, Aaron L. Liu, Chad Risko, Elsa Reichmanis, Carlos Silva-AcuñA

UK CARES Faculty Publications

Linear and nonlinear optical line shapes reveal details of excitonic structure in polymer semiconductors. We implement absorption, photoluminescence, and transient absorption spectroscopies in DPP-DTT, an electron push−pull copolymer, to explore the relationship between their spectral line shapes and chain conformation, deduced from resonance Raman spectroscopy and from ab initio calculations. The viscosity of precursor polymer solutions before film casting displays a transition that suggests gel formation above a critical concentration. Upon crossing this viscosity deflection concentration, the line shape analysis of the absorption spectra within a photophysical aggregate model reveals a gradual increase in interchain excitonic coupling. We also observe …

Development Of Poly(Acrylamide)-Based Hydrogel Composites With Powdered Activated Carbon For Controlled Sorption Of Pfoa And Pfos In Aqueous Systems, Maria Victoria X. Klaus, Angela M. Gutierrez, J. Zach Hilt

UK CARES Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are anthropogenic compounds developed for various applications; some are connected to adverse health impacts including immunosuppression and higher susceptibility to some cancers. Current PFAS remediation treatments from aqueous sources include granular activated carbon (GAC) adsorption, membrane separation, and anion- exchange resin (AER) removal. Each has specific disadvantages, hence the need for a new and efficient technology. Herein, acrylamide-based hydrogel composites were synthesized with powdered activated carbon (PAC) and characterized to determine their affinity for PFAS. Physicochemical characterization included Fourier-Transform infrared spectroscopy (FTIR) to identify chemical composition, thermogravimetric analysis (TGA) to confirm PAC loading percentage, and …

Novus Ex Machina: Realise Your Organisation’S Creative Potential With Ai, Adam Tatarynowicz, Utz Claassen

Asian Management Insights

Innovation managers must learn how to harness AI’s transformative potential.

Reimagining Sustainable Urban Communities In Hong Kong, Jeroen Van Ameijde, Sifan Cheng, Junwei Li

Asian Management Insights

Using environmental and social urban design principles to create future new towns. Hong Kong began building New Towns in the 1970s in response to a post-war period of rapid population growth.

Healthaichain: Improving Security And Safety Using Blockchain Technology Applications In Ai-Based Healthcare Systems, Naresh Kshetri, James Hutson, Revathy G

Faculty Scholarship

Blockchain as a digital ledger for keeping records of digital transactions and other information, it is secure and decentralized technology. The globally growing number of digital population every day possesses a significant threat to online data including the medical and patients’ data. After bitcoin, blockchain technology has emerged into a general-purpose technology with applications in medical industries and healthcare. Blockchain can promote highly configurable openness while retaining the highest security standards for critical data of medical patients. Referred to as distributed record keeping for healthcare systems which makes digital assets unalterable and transparent via a cryptographic hash and decentralized network. …

U–Pb Zircon Ages, Mapping, And Biostratigraphy Of The Payette Formation And Idaho Group North Of The Western Snake River Plain, Idaho: Implications For Hydrocarbon System Correlation, Renee L. Love, Reed S. Lewis, Spencer H. Wood, Dennis M. Feeney, Mark D. Schmitz

Geosciences Faculty Publications and Presentations

Sedimentary deposits north of the western Snake River Plain host Idaho’s first and only producing oil and gas field. They consist of the lower to middle Miocene Payette Formation, the middle to upper Miocene Poison Creek and Chalk Hills Formations, and the Pliocene to lower Pleistocene Glenns Ferry Formation. Using new geochronology, palynomorph biostratigraphy, and geologic mapping, we connect updip surface features to subsurface petroleum play elements. The Payette Formation is a likely main source of the hydrocarbons, and acts as one of the reservoirs in the unnamed basin. Here, we redefine the Payette Formation as 0 to ~3,500 ft …

Smartphone Based Object Detection For Shark Spotting, Darrick W. Oliver

Master's Theses

Given concern over shark attacks in coastal regions, the recent use of unmanned aerial vehicles (UAVs), or drones, has increased to ensure the safety of beachgoers. However, much of city officials' process remains manual, with drone operation and review of footage still playing a significant role. In pursuit of a more automated solution, researchers have turned to the usage of neural networks to perform detection of sharks and other marine life. For on-device solutions, this has historically required assembling individual hardware components to form an embedded system to utilize the machine learning model. This means that the camera, neural processing …

2023 November - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Kgs Joint Data, Steven L. Martin

Research Data--KGS

Joint orientation measurements collected by KGS personnel at rock exposures from 2009 to 2024. New joint data was collected using a Brunton compass. This data set is a compilation of joints measured by Steve Martin. There are three worksheets related to data structure. The joint location and joint measurement worksheets show a 1-to-many relationship. The 1to1 worksheet shows a 1-to-1 relationship between joint locations and measurements.

Version 2 uploaded December 2024, adding new data to existing set.

Kentucky Karst Dye Trace Database, Sarah M. Arpin, Benjamin W. Tobin, Maaz Fareedi, Adam Link, James C. Currens

Research Data--KGS

This dataset provides the geographical locations of karst groundwater basins, groundwater flowpaths, and dye injection/recovery points in Kentucky. Dye tracing is a common method used for understanding groundwater movement. Dye is poured (or injected) into a sinking stream, well, sinkhole, or body of water, where it is carried down-gradient by flowing water. The locations at which dye is recovered (typically at artesian springs) indicates a connection from injection to recovery site. This connection is refered to as a groundwater flowpath. Conducting multiple dye traces across an area allows for the interpretation of regional groundwater flow by assessing where flowpaths either …

Astronomical And Tectonic Influences On Climate And Deposition Revealed Through Radioisotopic Geochronology And Bayesian Age-Depth Modeling Of The Early Eocene Green River Formation, Wyoming, Usa, Benjamin T. Bruck, Brad S. Singer, Mark D. Schmitz, Alan R. Carroll, Stephen Meyers, Andrew P. Walters, Brian R. Jicha

Geosciences Faculty Publications and Presentations

The Wilkins Peak Member (WPM) of the Green River Formation in Wyoming, USA, comprises alternating lacustrine and alluvial strata that preserve a record of terrestrial climate during the early Eocene climatic optimum. We use a Bayesian framework to develop age-depth models for three sites, based on new ⁴⁰Ar/³⁹Ar sanidine and ²⁰⁶Pb/²³⁸U zircon ages from seven tuffs. The new models provide two- to ten-fold increases in temporal resolution compared to previous radioisotopic age models, confirming eccentricity-scale pacing of WPM facies, and permitting their direct comparison to astronomical solutions. Starting at ca. 51 Ma, the median …

Designing Secure Mental Healthcare Chatbots For Older Adults, Aishwarya Surani

Electronic Theses and Dissertations

The landscape of mental health support has evolved as a result of the rising demand for digital mental healthcare services. Users now have an opportunity to seek mental health support online due to the growth of digital platforms. For those looking for mental health treatments, chatbots have evolved as user-friendly, accessible platforms that provide remote access and convenience. However, for chatbots to be effective, users must divulge personal and sensitive information, such as demographics, insurance information, and a history of mental illness. While chatbots offer services to a variety of demographic users, older adults face unique challenges related to usability, …

Optimizing E-Payment Applications For Older Adults: User-Centered Solutions To Improve Security, Privacy, Usability, And Accessibility, Urvashi Kishnani

Electronic Theses and Dissertations

In an increasingly digital world, older adults are rapidly becoming a vital demographic in the realm of electronic financial transactions. It is imperative to address their unique needs and challenges to ensure their financial well-being. Older adults can be more vulnerable to various online threats, making security and privacy paramount. As they adapt to the digital age, understanding their specific privacy concerns and preferences is crucial for creating trustworthy e-payment systems. Moreover, enhancing the usability of e-payment applications for older adults promotes financial independence and inclusion, contributing to their overall quality of life. By focusing on these critical dimensions, we …

Chapter 4.1: Visualizing The Solubility Of Salts Via 3-D Topo Surfaces: Pyramids With Ridges And Plateaus, Garon C. Smith, Md Mainul Hossain

Water Topos: A 3-D Trend Surface Approach to Viewing and Teaching Aqueous Equilibrium Chemistry

A new 3-D graphical representation for the solubility of sparingly soluble salts in aqueous solutions has been developed utilizing a new composition grid. In this case, the x-axis carries the concentration of the salt’s cation (usually a metal) and the y-axis holds the concentration of the salt’s anion. Plotted above the grid are a salt’s solubility, individual species concentrations or distribution coefficients. Three levels of sophistication in the descriptive chemistry are discussed. In Case 1, the only dissolved species included are the cation and anion present in the salt’s solubility product expression, the K_sp. Case 2 …

Evidence Of Transboundary Movement Of Chemicals From Mexico To The U.S. In Tijuana River Estuary Sediments, Flannery Mclamb, Kesten Bozinovic, Zuying Feng, Damian Shea, Miguel F. Vasquez, Chris Stransky, Richard M. Gersberg, Goran Bozinovic, Multiple Additional Authors

Center for Life in Extreme Environments Publications

The Tijuana River Estuary (TRE) has been a public health hazard and point of contention between the United States and Mexico for decades, with sources of pollution on both sides of the border. The goal of our study is to determine the presence and dynamics of chemical contamination in the TRE. We sampled sediment from four TRE locations in the U.S. during stable dry conditions and immediately after a wet weather period. Organic chemicals were initially screened with non-targeted analysis using gas chromatography high-resolution mass spectrometry (GC/HRMS) that tentatively identified 6978 chemicals in the NIST 20 database. These tentative identifications …

Promoting Data Harmonization To Evaluate Vaccine Hesitancy In Lmics: Approach And Applications, Ryan Rego, Yuri Zhukov, Kyrani Reneau, Amy Pienta, Kristina L. Rice, Patrick Brady, Geoffrey Siwo, Peninah Wachira, Amina Abubakar, Ken Kollman

Institute for Human Development, East Africa

Background: Factors influencing the health of populations are subjects of interdisciplinary study. However, datasets relevant to public health often lack interdisciplinary breath. It is difficult to combine data on health outcomes with datasets on potentially important contextual factors, like political violence or development, due to incompatible levels of geographic support; differing data formats and structures; differences in sampling procedures and wording; and the stability of temporal trends. We present a computational package to combine spatially misaligned datasets, and provide an illustrative analysis of multi-dimensional factors in health outcomes.

Methods: We rely on a new software toolkit, Sub-National Geospatial Data Archive …

Flying To Net Zero With Sustainable Atos; Changing Cultures​, Eva Maleviti

Publications

What is Sustainability?

• World Commission on Environment and Development’s (WCED) 1987 Brundtland Report ‘’Our Common Future’’.
• Help world nations towards sustainable development.

17 Sustainable Development Goals

• The start of all industries are the 17 SDGs
• Aviation can address the 15 SDGs
• Net zero target suggest reduction of aviation emissions up to 21.2 Gt CO2

The Trifluoromethyltetrafluoro-Λ6-Sulfanyl Group In Organic And Polymer Chemistry, Muqian Deng

Legacy Theses & Dissertations (2009 - 2024)

Fluorine atom was widely applied in the organic chemistry and medicinal chemistry due to its strong electronegativity and lipophilicity. Fluorine atom, trifluoromethyl (CF3) moiety, trifluoromethyl sulfenyl (CF3S) moiety, pentafluoromethylsulfenyl (SF5) moiety have already been applied in the medicinal chemistry. These fluorinated groups brought the good chemical stability, oral stability, low toxicity, and longer half-life compared with the analogs. Fluorine containing compounds can be synthesized via radical reaction, electrophilic fluorinated source as well as nucleophilic sources. Additionally, the fluorinated compounds can also be synthesized via chlorofluoro-oxidation and SN2 reactions. In our lab, we introduced the super fluorine rich moiety (trans-CF3SF4 group) …

Hiking Trail Generation In Infinite Landscapes, Matthew Jensen

MS in Computer Science Project Reports

This project procedurally generates an infinite wilderness populated with deterministic hiking trails. Our approach recognizes that hiking trails depend on contextual information beyond the location of the path itself. To address this, we implemented a layered procedural system that orchestrates the generation process. This helps ensure the availability of contextual data at each stage. The first layer handles terrain generation, establishing the foundational landscape upon which trails will traverse. Subsequent layers handle point of interest identification and selection, trail network optimization through proximity graphs, and efficient pathfinding across the terrain. A notable feature of our approach is the deterministic nature …

Quality Assurance Project Plan, 2024 Butte Mine Flooding Operable Unit, Butte Priority Soils Operable Unit And Montana Pole And Treatment Plant Npl Site Private Well Monitoring Program, Montana Bureau Of Mines And Geology

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) - Silver Bow Montessori School, Environmental Resource Management (Erm)

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.