Physical Sciences and Mathematics Commons^™

Final 2021 Unreclaimed Sites Sampling Ur-33 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2021 Unreclaimed Sites Sampling Ur-24 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2021 Unreclaimed Sites Sampling Ur-35 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Proposed Meta-Reality Immersive Development Pipeline: Generative Ai Models And Extended Reality (Xr) Content For The Metaverse, Jay Ratican, James Hutson, Andrew Wright

Faculty Scholarship

The realization of an interoperable and scalable virtual platform, currently known as the “metaverse,” is inevitable, but many technological challenges need to be overcome first. With the metaverse still in a nascent phase, research currently indicates that building a new 3D social environment capable of interoperable avatars and digital transactions will represent most of the initial investment in time and capital. The return on investment, however, is worth the financial risk for firms like Meta, Google, and Apple. While the current virtual space of the metaverse is worth $6.30 billion, that is expected to grow to $84.09 billion by the …

A Critical Review On Water Overconsumption In Lignocellulosic Biomass Pretreatment For Ethanol Production Through Enzymic Hydrolysis And Fermentation, Jikai Zhao, Juhee Lee, Donghai Wang

School of Earth, Environmental, & Marine Sciences Faculty Publications

Global demand for renewable and sustainable energy fostered the considerable development of biomass-to-ethanol valorization strategies. Thermochemical pretreatment methods have been proposed to render biomass more amenable to enzymatic and microbial digestion. However, the efforts have not led to its industrial-scale worldwide realization. One of the obstacles to commercialization could be related to water overconsumption, as excessive water washing of the pretreated slurry is often performed to remove inhibitory compounds and residual chemicals after biomass pretreatment. Only increasing solid loading for biomass pretreatment results in ineffective pretreatment performance, more inhibitors formation, and high viscosity, which in turn necessitates the water washing …

Human Saliency-Driven Patch-Based Matching For Interpretable Post-Mortem Iris Recognition, Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin Bowyer, Adam Czajka

Computer Science: Faculty Publications and Other Works

Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in their efforts to identify deceased persons. As a machine learning-based technique in a predominantly human-controlled task, forensic recognition serves as “back-up” to human expertise in the task of post-mortem identification. As such, the machine learning model must be (a) interpretable, and (b) post-mortem-specific, to account for changes in decaying eye tissue. In this work, we propose a method that satisfies both requirements, and that approaches the creation of a post-mortem-specific feature extractor in …

Final 2021 Unreclaimed Sites Sampling Ur-36 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2021 Unreclaimed Sites Sampling Ur-05 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Impacts Of A Changing Climate And Human Activities On The Hydrology In High Mountain Asia, Fadji Z. Maina

Sustainability Seminar Series

High Mountain Asia (HMA), the third pole, encompasses Asia’s most prominent rivers such as the Ganges, the Indus, and the Yangtze. HMA, home to over a billion people, experiences warming at a rate that is double the global average making it one of the most vulnerable water towers on Earth in addition to a significant decline in groundwater due to anthropogenic activities and high vegetation greening rates. Understanding the changes in water budgets in HMA and their drivers is essential for water management and climate change mitigation strategies. We used remotely sensed datasets to represent the hydrology of the region …

Motif Mining: Finding And Summarizing Remixed Image Content, William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter Scheirer

Computer Science: Faculty Publications and Other Works

On the Internet, images are no longer static; they have become dynamic content. Thanks to the availability of smartphones with cameras and easy-to-use editing software, images can be remixed (i.e., redacted, edited, and re-combined with other content) on-the-fly, allowing a world-wide audience to repeat the process many times. From digital art to memes, the evolution of images through time is now an important topic of study for digital humanists, social scientists, and media forensics specialists. However, because typical data sets in computer vision are composed of static content, there has been limited development of automated algorithms for analyzing remixed content. …

Spatial Distribution Of Seawater Carbonate Chemistry And Hydrodynamic Controls In A Low-Inflow Estuary, Sarah E. Bartoloni, Ryan K. Walter, Sydney N. Wewerka, Jolie Higgins, Jennifer K. O'Leary, Emily E. Bockmon

Physics

Coastal and estuarine systems play an important role in the global carbon cycle and often have complex carbonate chemistry dynamics due to a multitude of biogeochemical and physical drivers. Compared to classic estuaries, mechanisms driving the distribution of carbonate parameters in low-inflow estuaries are understudied. The spatial distribution of carbonate chemistry and hydrodynamic parameters were characterized in Morro Bay, a short and seasonally hypersaline estuary on the Central California Coast, during the dry, low-inflow season to better understand in situ modifications. Sampling transects were completed in the main channel in June, August, and September of 2018, bracketing both a high …

Principles Of Chemistry-1, Rajnish Singh

KSU Distinguished Course Repository

Principles of Chemistry, chem 1211, is a 3 credit hour course, the first in a two-semester sequence covering the fundamental principles and applications of chemistry for science majors. Course content includes electronic structure of atoms and molecules, bonding fundamentals, fundamentals of chemical reactions, and gas laws. The course is taught asynchronously and the final exam being a national exam offered by the American chemical society, (ACS), that has to be taken in person.

Overcoming Uncertainties In Molecular Visualization, Thomas Wischgoll

Computer Science and Engineering Faculty Publications

Uncertainties are difficult if not impossible to avoid. Capturing data from the analog world almost always results in some form of uncertainty. The amount of uncertainty depends on the method of measurement and its accuracy. When visualizing data that has some associated uncertainty, it is essential to properly process and convey such uncertainty and especially the amount of uncertainty keeping in mind that additional processing steps can amplify the uncertainty. There are various sources of uncertainty, such as numerical limitations or limitations of the capture device. However, there are other sources of uncertainty. Some of these uncertainties stem from model …

Emotion Classification Of Indonesian Tweets Using Bidirectional Lstm, Aaron K. Glenn, Phillip M. Lacasse, Bruce A. Cox

Faculty Publications

Emotion classification can be a powerful tool to derive narratives from social media data. Traditional machine learning models that perform emotion classification on Indonesian Twitter data exist but rely on closed-source features. Recurrent neural networks can meet or exceed the performance of state-of-the-art traditional machine learning techniques using exclusively open-source data and models. Specifically, these results show that recurrent neural network variants can produce more than an 8% gain in accuracy in comparison with logistic regression and SVM techniques and a 15% gain over random forest when using FastText embeddings. This research found a statistical significance in the performance of …

Reliable Detection Of Location Spoofing And Variation Attacks, Chiho Kim, Sang-Yoon Chang, Dongeun Lee, Jinoh Kim

Faculty Publications

Location spoofing is a critical attack in mobile communications. While several previous studies investigated the detection of location spoofing attacks, they are limited in their performance and lack the consideration of emerging attack variations. In this paper, we present a data-driven methodology for the reliable detection of location spoofing and its variations. To enhance the performance, we introduce and utilize a new set of features, which is differential in nature and enables the checking of the mobility constraints and inconsistency. Our comparison study with the previous research shows that the presented scheme using the new features significantly improves the accuracy …

Emergenet: A Novel Deep-Learning Based Ensemble Segmentation Model For Emergence Timing Detection Of Coleoptile, Aankit Das, Sruti Das Choudhury, Amit Kumar Das, Ashok Samal, Tala Awada

School of Computing: Faculty Publications

The emergence timing of a plant, i.e., the time at which the plant is first visible from the surface of the soil, is an important phenotypic event and is an indicator of the successful establishment and growth of a plant. The paper introduces a novel deep-learning based model called EmergeNet with a customized loss function that adapts to plant growth for coleoptile (a rigid plant tissue that encloses the first leaves of a seedling) emergence timing detection. It can also track its growth from a time-lapse sequence of images with cluttered backgrounds and extreme variations in illumination. EmergeNet is a …

Decomposition Rate As An Emergent Property Of Optimal Microbial Foraging, Stefano Manzoni, Arjun Chakrawal, Glenn Ledder

Department of Mathematics: Faculty Publications

Decomposition kinetics are fundamental for quantifying carbon and nutrient cycling in terrestrial and aquatic ecosystems. Several theories have been proposed to construct process-based kinetics laws, but most of these theories do not consider that microbial decomposers can adapt to environmental conditions, thereby modulating decomposition. Starting from the assumption that a homogeneous microbial community maximizes its growth rate over the period of decomposition, we formalize decomposition as an optimal control problem where the decomposition rate is a control variable. When maintenance respiration is negligible, we find that the optimal decomposition kinetics scale as the square root of the substrate concentration, resulting …

Metal Contents In House Geckos (Squamata: Gekkonidae) From Industrial And Urban Areas Of Southern Tamaulipas, Mexico And Western Andalucía, Spain, May Reflect Airborne Metal Pollution, Luisiana Morales-Zamudio, Alejandro Fierro-Cabo, Md. Saydur Rahman, Miguel Antonio Dominguez-Crespo

School of Earth, Environmental, & Marine Sciences Faculty Publications

House geckos share living quarters with humans in the tropical and subtropical regions inhabited by these reptiles. Gecko behavior, biological traits, continuous exposure to suspended particulate matter 0 µm in diameter (PM10) and dust, as well as status as exotic species, motivated the choice of these species to examine environmental exposure to ambient air pollutants, in particular metals, and subsequent accumulation in these organisms. One part of the study was conducted in Tamaulipas (Mexico) where Hemydactylus frenatus is abundant in urban and industrial environments, the other part was conducted in Andalucia (Spain) where Tarentola mauritanica is found in similar environments. …

A Parameter Discovery Process For The Data Washing Machine Created For Unsupervised Data Curation, Kris E. Anderson

Theses and Dissertations

The Data Washing Machine (DWM) is a known and documented open-source Python Jupyter Notebook project that is the foundation for an Unsupervised Data Curation process. The DWM ingests reference data without a prior data cleansing activity and ultimately runs Entity Resolution (ER) on acceptable entity data to cluster duplicate references within the dataset. The DWM currently has 17 modifiable parameters that are used to help tokenize, cleanse, organize, link and cluster like references. With such a large number of parameters, some type of beginning settings as optimal as possible are needed for the DWM process for it to be useful …

Multimodal Image Retrieval Combining Image And Text, Md Imran Sarker

Theses and Dissertations

Retrieving visual or textual similarities from an image query and vice versa has drawn much interest in computer vision. With the growth of the E-commerce marketplace, image retrieval provides excellent competitive opportunities for vendors and customers through a robust recommendation system. Feature integration has always been an essential task for multimodal-based image retrieval approaches. However, different existing matching techniques have been used separately for visual and text similarity. Still, researchers are looking for new methods when it comes to multimodal Image Retrieval. In this paper, I study the image retrieval task, where the input query is an image plus text …

Fair4pghd: A Framework For Fair Implementation Over Pghd, Abdullahi Abubakar Kawu, Dympna O'Sullivan, Lucy Hederman, Mirjam Van Reisen

Articles

Patient Generated Health Data (PGHD) are being considered for integration with health facilities, however little is known about how such data can be made machine-actionable in a way that meets FAIR guidelines. This article proposes a 5-stage framework that can be used to achieve this.

Log-Optimal (D + 2)-Configurations In D–Dimensions, Peter D. Dragnev, Oleg R. Musin

School of Mathematical & Statistical Sciences Faculty Publications

We enumerate and classify all stationary logarithmic configurations of d + 2 points on the unit sphere in d–dimensions. In particular, we show that the logarithmic energy attains its local minima at configurations that consist of two orthogonal to each other regular simplexes of cardinality m and n. The global minimum occurs when m = n if d is even and m = n + 1 otherwise. This characterizes a new class of configurations that minimize the logarithmic energy on Sd−1 for all d. The other two classes known in the literature, the regular simplex (d + 1 points on …

Measurement Of The VE- Nucleus Charged-Current Double-Differential Cross Section At 〈EV⟩ = 2.4 Gev Using Nova, M. A. Acero, P. Adamson, L. Aliaga, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, A. Back, M. Biard, N. Balashov, P. Baldi, B. A. Bambah, S. Bashar, K. Bays, R. Bernstein, V. Bhatnagar, D. Bhattarai, B. Bhuyan, J. Bian, Roberto Petti, Et. Al.

Faculty Publications

The inclusive electron neutrino charged-current cross section is measured in the NOvA near detector using 8.02×10²⁰ protons-on-target in the NuMI beam. The sample of GeV electron neutrino interactions is the largest analyzed to date and is limited by ≃17% systematic rather than the ≃7.4% statistical uncertainties. The double-differential cross section in final-state electron energy and angle is presented for the first time, together with the single-differential dependence on Q² (squared four-momentum transfer) and energy, in the range 1  GeV≤E_νGENIE, GiBUU, NEUT, and NuWro neutrino event generators. The data do not strongly favor a model over the …

Current Scenario Of Solar Energy Applications In Bangladesh: Techno-Economic Perspective, Policy Implementation, And Possibility Of The Integration Of Artificial Intelligence, Monirul Islam Miskat, Protap Sarker, Hemal Chowdhury, Tamal Chowdhury, Md Salman Rahman, Nazia Hossain, Piyal Chowdhury, Sadiq M. Sait

School of Mathematical & Statistical Sciences Faculty Publications

Bangladesh is blessed with abundant solar resources. Solar power is considered the most desirable energy source to mitigate the high energy demand of this densely populated country. Although various articles deal with solar energy applications in Bangladesh, no detailed review can be found in the literature. Therefore, in this study, we report on the current scenario of renewable energy in Bangladesh and the most significant potential of solar energy’s contribution among multiple renewable energy resources in mitigating energy demand. One main objective of this analysis was to outline the overall view of solar energy applications in Bangladesh to date, as …

Rhino Conservation In Africa, Andrew N. Rowan

WellBeing News

The recovery of white rhinos from a small population of 20 animals in 1895 to tens of thousands today is a major conservation success story, but we are again facing a rapid decline in the numbers of both species of African rhinoceros due mainly to poaching. Demand for rhino horn, mainly from the Far East, has led to an epidemic of poaching. The healthy population of white rhinos in South Africa’s Kruger National Park has fallen from just under 12,000 individuals in 2010 to around 2,200 in 2022. At the current rate of decline, white rhinos will be eliminated from …

Have Underground Radiation Measurements Refuted The Orch Or Theory?: Comment On “At The Crossroad Of The Search For Spontaneous Radiation And The Orch Or Consciousness Theory”, Kelvin J. Mcqueen

Philosophy Faculty Articles and Research

"In [1] it is claimed that, based on radiation emission measurements described in [2], a certain 'variant' of the Orch OR theory has been refuted. I agree with this claim. However, the significance of this result for Orch OR per se is unclear. After all, the refuted 'variant' was never advocated by anyone, and it contradicts the views of Hameroff and Penrose (hereafter: HP) who invented Orch OR [3].

My aim is to get clear on this situation. I argue that it is indeed reasonable to speak of 'variants' here. Orch OR is not a complete model of reality but …

Online Test Administration Results In Students Selecting More Responses To Multiple-Choice-Multiple-Response Items, Alexis Olsho, Trevor Smith, Philip Eaton, Charlotte Zimmerman, Andrew Boudreaux, Suzanne White

College of Science & Mathematics Departmental Research

We developed the Physics Inventory of Quantitative Literacy (PIQL) to assess students' quantitative reasoning in introductory physics contexts. The PIQL includes several "multiple-choice-multiple-response"(MCMR) items (i.e., multiple-choice questions for which more than one response may be selected) as well as traditional single-response multiple-choice items. In this paper, we discuss differences in performance on MCMR items that seems to result from differences in administration method (paper versus online). In particular, we find a tendency for "clickiness"in online administration: students choose more responses to MCMR items when taking the electronic version of the assessment. Student performance on single-response multiple-choice items was not affected …

When Plaquing Is Not Possible: Computational Methods For Detecting Induced Phages, Taylor Miller-Ensminger, Genevieve Johnson, Swarnali Banerjee, Catherine Putonti

Mathematics and Statistics: Faculty Publications and Other Works

High-throughput sequencing of microbial communities has uncovered a large, diverse population of phages. Frequently, phages found are integrated into their bacterial host genome. Distinguishing between phages in their integrated (lysogenic) and unintegrated (lytic) stage can provide insight into how phages shape bacterial communities. Here we present the Prophage Induction Estimator (PIE) to identify induced phages in genomic and metagenomic sequences. PIE takes raw sequencing reads and phage sequence predictions, performs read quality control, read assembly, and calculation of phage and non-phage sequence abundance and completeness. The distribution of abundances for non-phage sequences is used to predict induced phages with statistical …

Bats Increased Foraging Activity At Experimental Prey Patches Near Hibernacula, Winifred F. Frick, Yvonne A. Dzal, Kristin A. Jonasson, Michael D. Whitby, Amanda M. Adams, Christen Long, John E. Depue, Christian M. Newman, Craig K. R. Willis, Tina L. Cheng

Nebraska Cooperative Fish and Wildlife Research Unit: Staff Publications

1. Emerging infectious diseases in wildlife can threaten vulnerable host populations. Actions targeting habitat improvements to aid population resilience and recovery may be beneficial long-term strategies, yet testing the efficacy of such strategies before major conservation investments are made can be challenging.

2. The disease white-nose syndrome (WNS) has caused severe declines in several species of North American hibernating bats. We tested a novel conservation approach targeted at improving foraging conditions near bat hibernacula by experimentally manipulating insect density in the pre-hibernation fattening period and spring emergence recovery period. We measured foraging (feeding buzzes) and echolocation activity of little brown bats Myotis …

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2023 February 2 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.