Physical Sciences and Mathematics Commons^™

Detecting Mental Distresses Using Social Behavior Analysis In The Context Of Covid-19: A Survey, Sahraoui Dhelim, Liming Chen, Sajal K. Das, Huansheng Ning, Chris Nugent, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White, Devin Michael Burns

Computer Science Faculty Research & Creative Works

Online social media provides a channel for monitoring people's social behaviors from which to infer and detect their mental distresses. During the COVID-19 pandemic, online social networks were increasingly used to express opinions, views, and moods due to the restrictions on physical activities and in-person meetings, leading to a significant amount of diverse user-generated social media content. This offers a unique opportunity to examine how COVID-19 changed global behaviors regarding its ramifications on mental well-being. In this article, we surveyed the literature on social media analysis for the detection of mental distress, with a special emphasis on the studies published …

Perceptions Of Violations By Artificial And Human Actors Across Moral Foundations, Timothy Maninger, Daniel Burton Shank

Psychological Science Faculty Research & Creative Works

Artificial agents such as robots, chatbots, and artificial intelligence systems can be the perpetrators of a range of moral violations traditionally limited to human actors. This paper explores how people perceive the same moral violations differently for artificial agent and human perpetrators by addressing three research questions: How wrong are moral foundation violations by artificial agents compared to human perpetrators? Which moral foundations do artificial agents violate compared to human perpetrators? What leads to increased blame for moral foundation violations by artificial agents compared to human perpetrators? We adapt 18 human-perpetrated moral violation scenarios that differ by the moral foundation …

Continuous And Discrete Models For Optimal Harvesting In Fisheries, Nagham Abbas Al Qubbanchee

Masters Theses

"This work focuses on the logistic growth model, where the Gordon-Schaefer model is considered in continuous time. We view the Gordon-Schaefer model as a bioeconomic equation involved in the fishing business, considering biological rates, carrying capacity, and total marginal costs and revenues. In [25], the authors illustrate the analytical solution of the Schaefer model using the integration by parts method and two theorems. The theorems have many assumptions with many different strategies. Due to the nature of the problem, the optimal control system involves many equations and functions, such as the second root of the equation. We concentrate on Theorem …

Reducing Kidney Discard With Artificial Intelligence Decision Support: The Need For A Transdisciplinary Systems Approach, Richard Threlkeld, Lirim Ashiku, Casey I. Canfield, Daniel Burton Shank, Mark A. Schnitzler, Krista L. Lentine, David A. Axelrod, Anil Choudary Reddy Battineni, Henry Randall, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Purpose of Review: A transdisciplinary systems approach to the design of an artificial intelligence (AI) decision support system can more effectively address the limitations of AI systems. By incorporating stakeholder input early in the process, the final product is more likely to improve decision-making and effectively reduce kidney discard.

Recent Findings: Kidney discard is a complex problem that will require increased coordination between transplant stakeholders. An AI decision support system has significant potential, but there are challenges associated with overfitting, poor explainability, and inadequate trust. A transdisciplinary approach provides a holistic perspective that incorporates expertise from engineering, social science, and …

Findings Report: Virtual Workshop On ‘Resilient Supply Of Critical Minerals’, Marek Locmelis, Angela D. Lueking, Michael S. Moats, Kwame Awuah-Offei, Lana Z. Alagha, Mark W. Fitch, Alanna Krolikowski, Shelby Clark

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Executive Summary
On August 2-3, 2021, the Thomas J. O’Keefe Institute for Sustainable Supply of Strategic Minerals at Missouri University of Science and Technology (Missouri S&T) hosted the NSF-funded virtual workshop ‘Resilient Supply of Critical Minerals’. The workshop was convened via Zoom and attracted 158 registrants, including 108 registrants from academia (61 students), 30 registrants from government agencies, and 20 registrants from the private sector. Four topical sessions were covered:

A. Mineral Exploration and Source Diversification.
B. Supply Chain and Policy Issues.
C. Improving Mineral Recycling and Reprocessing Technologies.
D. Technological Alternatives to Critical Minerals.

Each topical session was composed …

Concentrated Lunar Resources: Imminent Implications For Governance And Justice, Martin Elvis, Alanna Krolikowski, Tony Milligan

History and Political Science Faculty Research & Creative Works

Numerous missions planned for the next decade are likely to target a handful of small sites of interest on the Moon's surface, creating risks of crowding and interference at these locations. The Moon presents finite and scarce areas with rare topography or concentrations of resources of special value. Locations of interest to science, notably for astronomy, include the Peaks of Eternal Light, the coldest of the cold traps and smooth areas on the far side. Regions richest in physical resources could also be uniquely suited to settlement and commerce. Such sites of interest are both few and small. Typically, there …

Modeling Time Series With Conditional Heteroscedastic Structure, Ratnayake Mudiyanselage Isuru Panduka Ratnayake

Doctoral Dissertations

"Models with a conditional heteroscedastic variance structure play a vital role in many applications, including modeling financial volatility. In this dissertation several existing formulations, motivated by the Generalized Autoregressive Conditional Heteroscedastic model, are further generalized to provide more effective modeling of price range data well as count data. First, the Conditional Autoregressive Range (CARR) model is generalized by introducing a composite range-based multiplicative component formulation named the Composite CARR model. This formulation enables a more effective modeling of the long and short-term volatility components present in price range data. It treats the long-term volatility as a stochastic component that in …

Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The role of human-machine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decision-making. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating …

Predictive Geohazard Mapping Using Lidar And Satellite Imagery In Missouri And Oklahoma, Usa, Olufeyisayo B. Ilesanmi

Doctoral Dissertations

”Light Detection and Ranging (LiDAR) and satellite imagery have become the most utilized remote sensing technologies for compiling inventories of surficial geologic conditions. Point cloud data obtained from multi-spectral remote sensing methods provide a detailed characterization of the surface features, in particular, the detailed surface manifestations of underlying geologic structures. When combined, point clouds eliminate bias from visual inconsistencies and/or statistical values. This research explores the competence of point clouds derived from LiDAR and Unmanned Aerial Systems (UAS) as a predictive tool in evaluating various geohazards. It combines these data sets with other remote sensing techniques to evaluate the sensitivity …

Less Is More: Beating The Market With Recurrent Reinforcement Learning, Louis Kurt Bernhard Steinmeister

Masters Theses

"Multiple recurrent reinforcement learners were implemented to make trading decisions based on real and freely available macro-economic data. The learning algorithm and different reinforcement functions (the Differential Sharpe Ratio, Differential Downside Deviation Ratio and Returns) were revised and the performances were compared while transaction costs were taken into account. (This is important for practical implementations even though many publications ignore this consideration.) It was assumed that the traders make long-short decisions in the S&P500 with complementary 3-month treasury bill investments. Leveraged positions in the S&P500 were disallowed. Notably, the Differential Sharpe Ratio and the Differential Downside Deviation Ratio are risk …

Development Of A Variogram Approach To Spatial Outlier Detection Using A Supplemental Digital Elevation Model Dataset, Zane Daniel Helwig

Masters Theses

"When developing a ground water model, the quality of the dataset should first be evaluated. Spatial outliers can lead to predictions which are not representative of actual conditions. In order to isolate misrepresentative points, a method is presented which examines the experimental variogram of a ground water elevation dataset. To define a threshold variance between pairs of ground water elevation measures, ground elevation values from a digital elevation model (DEM) are used to determine a maximum reasonable variance expected to occur on the experimental variogram. To determine appropriate DEM parameters, a separate study was also done which observed characteristic behavior …

Cognition-Based Approaches For High-Precision Text Mining, George John Shannon

Doctoral Dissertations

"This research improves the precision of information extraction from free-form text via the use of cognitive-based approaches to natural language processing (NLP). Cognitive-based approaches are an important, and relatively new, area of research in NLP and search, as well as linguistics. Cognitive approaches enable significant improvements in both the breadth and depth of knowledge extracted from text. This research has made contributions in the areas of a cognitive approach to automated concept recognition in.

Cognitive approaches to search, also called concept-based search, have been shown to improve search precision. Given the tremendous amount of electronic text generated in our digital …

Managing Risks Of Market Price Uncertainty For A Microgrid Operation, Sriram Raghavan

Masters Theses

"After deregulation of electricity in the United States, the day-ahead and real-time markets allow load serving entities and generation companies to bid and purchase/sell energy under the supervision of the independent system operator (ISO). The electricity market prices are inherently uncertain, and can be highly volatile. The main objective of this thesis is to hedge against the risk from the uncertainty of the market prices when purchasing/selling energy from/to the market. The energy manager can also schedule distributed generators (DGs) and storage of the microgrid to meet the demand, in addition to energy transactions from the market. The risk measure …

A New Technique For Modeling The Geomorphology Of A Slow Moving, Soft-Slope Landslide Using Terrestrial Lidar, Nathan Bradley Rohrbaugh

Masters Theses

"Soft slope movement is a big problem whether it involves an engineered slope, one that is near infrastructure, or both. Active landslides that fail slowly sometimes allow ample time to affect remedial works. In order to plan effective remedial works, there needs to be a model of the entire geometry of the slide. This thesis describes a new approach to evaluate the morphology of slope geometry using Light Detection and Ranging (LiDAR) data obtained from simple targets strategically positioned on a slide body. The data was gathered in three-month intervals over a period of one year to allow enough time …

Proactive Search: Using Outcome-Based Dynamic Nearest-Neighbor Recommendation Algorithms To Improve Search Engine Efficacy, Christopher Shaun Wagner

Doctoral Dissertations

"The explosion of readily available electronic information has changed the focus of data processing from data generation to data discovery. The prevalent use of search engines has generated extensive research into improving the speed and accuracy of searches. The goal of this research is to accurately predict user behavior as a means to proactively improve speed, accuracy, and predictability of search engines. The proactive approach eliminates query entry time and hence reduces the overall processing time, improving speed. Assuming success, the user locates an electronic resource of interest, improving accuracy.

Algorithms that have been shown to predict many vastly different …

Conference Marketing Research For Rolla, Missouri Chamber Of Commerce, Rebecca Mcnally, Bonnie Bachman

Business and Information Technology Faculty Research & Creative Works

This paper is used to give recommendations to the Chamber of Commerce in Rolla, Missouri to help them to better attract conferences and events. A survey given to event planners was the main method used for analyzing what Rolla needs to change to gain more of a name as a conference destination. Although this paper is specific to Rolla, Missouri, the methods used can be imitated for any rural town wishing to attract more conferences.

2nd Annual Undergraduate Research Conference Abstract Book, University Of Missouri--Rolla

Undergraduate Research Conference at Missouri S&T

No abstract provided.

Electron Drift Velocities In Xenon, H. L. Brooks, M. C. Cornell, John L. Fletcher, Ian M. Littlewood, Kaare J. Nygaard

Psychological Science Faculty Research & Creative Works

The electron drift velocity has been measured in xenon over the range of reduced field strength 1 Td

Arkansas Wood Fuels: A Feasibility Study, Ralph O. Gunderson

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

This report presents estimates of quantities and location of logging residues in Arkansas. Six sites are determined as potential fuel use sites for these residues. Estimates of the demand for wood fuel at these sites are made. The supply and demand for wood fuels are studied to determine the feasibility of utilizing logging residue as a fuel at these six locations in Arkansas.

Cogeneration Of Ethanol From I.C. Engine Powerplants: An Economical And Convenient Method To Supply Process Energy For Ethanol Production, Randall Noon

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

I.C. engine power plants have significant and suitable waste heat for the production of ethanol. Such power plants are often located in conjunction with cattle and grain producing areas, two of the important ingredients for ethanol production. Cogeneration of ethanol from I.C. engines will afford significant production of ethanol without requiring more fuel than is currently used.

Full Food And Fiber Production, James D. Atwood

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

Included in the Natural Gas Policy Act of 1978 is a section which provides priority treatment for essential agricultural users. The applicability and importance of this Act in maintaining a viable agricultural base in this nation is developed.

Ratepayer Financing Of Solar Thermal Electric Commercial Demonstration Projects, Mark D. Jarmie, Jeff V. Conopask

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

Commercialization of a new energy supply technology requires demonstration of its feasibility to potential customers at each staqe of development. While small improvements of proven energy supply svstems are usually privately pioneered, larger or more uniaue research projects are often delaved as economic and technical concerns are assuaged through public sector R&D funding. For solar thermal central receivers, even though their technical viability has been tested on a small scale, acceptance by utilities will require full-scale field experiments and commercial-sized demonstration plants.

Wood Fuels In Power Generation, Yildirim Omurtag, Larry Wetzel, Michael Mcevilly

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

In order for wood to be considered a feasible energy source for power generation, it must prove to be economical, meet society's pollution criteria, and provide sufficient energy to meet its regional demand applications or requirements. This report looks at wood's availability, its potential as a fuel source, the different methods of energy conversion, and lastly, submits conclusions and recommendations concerning wood-fueled power generation.

The information and background was supplied and supported by actual application, government publications and documentations, and other sources. The availability report includes living biomass, wood residues, and potential biomass expansion. Once availability was determined, the portion …

Rate Of Return Regulatory Policy -- The Bane Of Electric Utilities?, Charles David Laderoute

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

In the past,rate of return regulation served to the advantage of electric utility stockholders. Today this is no longer the case. Furthermore, owners cannot assume that utility management can or will work totally in their behalf. As a result, this paper presents as its main thesis that utility stockholders should band together into advocacy groups to support their right to a fair rate of return.

Pipeline Gathering System Operations Model, Mark E. Ryan

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

A computer model to aid in the analysis of pipeline gathering system operations has been developed. The model simulates the actual daily operation of the gathering system, on a task by task basis, taking into account terrain, climate, and facility breakdowns. The model can be used to project operating requirements for new systems or analyze problems in existing systems.

Managing In An Energy Scarce Environment, John Amos

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

Present engineering management principles, operations research techniques, and economic theories were mainly developed dealing with only one scarce resource -- capital. Today, the engineer manager must consider another scarce resource -- energy. In the past, energy was never considered a major factor; i.e., equipment was considered a good investment if labor was reduced, regardless of energy cost. Many other managerial decisions are similar; therefore, the engineer manager must understand why many decisions based on traditional techniques may be misleading. The engineer manager must now utilize more complex engineering management techniques instead of evaluating only one factor or using rules of …

The Price Of Oil, R. W. Clack

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

An examination of major forces in the petroleum market with primary emphasis on the decade of the 1970s. The market force (s) responsible for the factor-of-ten increase in the price of crude oil is isolated, if not identified. The market's "message" is set forth for energy policy planners.

Amorphous Silicon Solar Cells: A Review, Robert D. Engelken, Patrick L. Cole

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

Recent developments in the production and study of the properties of amorphous silicon containing hydrogen and fluorine impurities are reviewed. Especially emphasized are the properties of the material in regard to its photovoltaic potential and the roles of hydrogen and fluorine in modifying such properties as band gap and mobility from those of the pure amorphous and crystalline material.

The Regulatory Nemesis, K. Daniel Hinkle

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

Energy sources are truly regulated from the bowels of the earth to the flame tip. Local, state and federal governments, whether by design or blind ineptitude, have created a maze of administrative regulations that affect the development of both current and future energy sources. Rather than discuss regulatory horror stories, it is the purpose of this paper to discuss the impacts of this maze of regulations on current and alternate energy sources.

The first section will review 16 federal acts that make up the regulatory nemesis. The second section will review an example of the maze in action on a …

Microprocessor Based Control For Wind Turbines, Mubde Absi, Curtis Dodd

UMR-MEC Conference on Energy / UMR-DNR Conference on Energy

This paper will discuss the design of a microprocessor based control system for a Vertical Axis Wind Turbine (VAWT). A control philosophy is developed and the reasons for a microprocessor control are discussed.