Physical Sciences and Mathematics Commons^™

Modified Method For Assessing The Required Expenditures And Estimated Time Of Hard Coal Mine Liquidation, Andrzej Chmiela, Małgorzata Wysocka, Adam Smoliński

Journal of Sustainable Mining

The restructuring of hard coal mining requires significant budgetary expenditures. A comprehensive scientific approach may facilitate the rationalisation and minimisation of mine closure costs. This study proposes a method for the preliminary estimation of the costs and time required for the potential liquidation of a hard coal mine. In addition to a literature review, a statistical analysis and a case study, personal interviews were conducted with individuals with direct management over the restructuring, reclamation and liquidation processes pertaining to mines undergoing closure.

The assessment method is based on an analysis of the mine liquidation costs, divided into successive years of …

Water-Energy-Food Linkages In Community Smallholder Irrigation Schemes: Center Pivot Irrigation In Rwanda, Ankit Chandra, Derek M. Heeren, Lameck O. Odhiambo, N. Brozovic

Daugherty Water for Food Global Institute: Faculty Publications

Water, energy, and food are linked in intricate ways in irrigated agriculture and understanding the interplay of these components is crucial for sustainable and profitable crop production, particularly in smallholder setting such as in sub-Saharan Africa. This study evaluates water-energy-food linkages, engineering and economic performance, irrigation decision making, and challenges faced around water management in a community-based mechanized irrigation scheme in Rwanda. The research is the first to analyze such as scheme, which uses technology typically used by large farmers in a smallholder setting. The study investigates the variation in water requirements and the relationship and impacts of this variability …

Feed Planning - Methods Used By “Expert” Farmers, D. I. Gray, W. J. Parker, E. A. Kemp, P. D. Kemp, I. M. Brookes, D. J. Horne, Paul R. Kenyon, C. Matthew, S. T. Morris, J. I. Reid, I. Valentine

IGC Proceedings (1997-2023)

Although formal feed planning has been heavily promoted in New Zealand, relatively few farmers have adopted this approach (Nuthall & Bishop-Hurley, 1999). Reasons for non-adoption have been identified, but little is known about how farmers manage their pastoral farms in the absence of formal feed planning. To this end, the feed management processes used by three successful (expert) farmers were investigated.

Management Of Pasture Quality For Sheep On New Zealand Hill Country, D. I. Gray, J. I. Reid, P. D. Kemp, I. M. Brookes, D. Horne, Paul R. Kenyon, C. Matthew, S. T. Morris, I. Valentine

IGC Proceedings (1997-2023)

The control of pasture quality over spring is central to the achievement of high levels of sheep performance on hill country. Despite this, with the exception of the work of Lambert et al. (2000), little is known about how farmers actually manage pasture quality. The purpose of this research was to describe how a high performing hill country farmer manages pasture quality on their sheep area over spring and from this develop a framework that will assist other farmers improve their pasture management.

Decision Support System For Grassland-Based Sheep Production In The Chilean Patagonia, R. R. Vera, S. Morales, C. Aguilar

IGC Proceedings (1997-2023)

Temporal decision-making in sheep production systems of the Chilean Patagonia is influenced by forage availability in existing paddocks, which in turn is determined by previous use, localisation, climate and soil. Also, production strategies are evolving, with a trend towards fat lamb production, introduction of new breeds and a reduction in the importance of wool production. The objective of this study was to develop an initial version of a spatial empirical simulation model based on extremely limited information, to predict forage growth and sheep production so that decision-makers can assess alternative production strategies.

The Effectiveness Of Visualization Techniques For Supporting Decision-Making, Cansu Yalim, Holly A. H. Handley

Modeling, Simulation and Visualization Student Capstone Conference

Although visualization is beneficial for evaluating and communicating data, the efficiency of various visualization approaches for different data types is not always evident. This research aims to address this issue by investigating the usefulness of several visualization techniques for various data kinds, including continuous, categorical, and time-series data. The qualitative appraisal of each technique's strengths, weaknesses, and interpretation of the dataset is investigated. The research questions include: which visualization approaches perform best for different data types, and what factors impact their usefulness? The absence of clear directions for both researchers and practitioners on how to identify the most effective visualization …

Decision Support For Grassland Systems In Developing Countries, P. K. Thornton

IGC Proceedings (1997-2023)

Key points

1. Information flows in complex systems are often themselves highly complex, and decision support approaches based on linear input-output processes may have only limited impact.

2. How decisions are made, and how they can be appropriately supported, is often incompletely understood, in part because of inadequate understanding of the objectives and attitudes of all the decision makers involved.

3. Much of the developing world faces daunting problems in the coming 30 years, and appropriate information could play a critical role in dealing with these.

4. System complexity, household variability, and institutional intricacies have to be embraced rather than …

Management Of Pasture Quality For Sheep On New Zealand Hill Country, D. I. Gray, J. I. Reid, P. D. Kemp, I. M. Brookes, D. Horne, P. R. Kenyon, C. Matthew, S. T. Morris, I. Valentine

IGC Proceedings (1997-2023)

The control of pasture quality over spring is central to the achievement of high levels of sheep performance on hill country. Despite this, with the exception of the work of Lambert et al. (2000), little is known about how farmers actually manage pasture quality. The purpose of this research was to describe how a high performing hill country farmer manages pasture quality on their sheep area over spring and from this develop a framework that will assist other farmers improve their pasture management.

A Probabilistic Formalisation Of Contextual Bias: From Forensic Analysis To Systemic Bias In The Criminal Justice System, M. Cuellar, J. Mauro, Amanda Luby

Mathematics & Statistics Faculty Works

Researchers have found evidence of contextual bias in forensic science, but the discussion of contextual bias is currently qualitative. We formalise existing empirical research and show quantitatively how biases can be propagated throughout the legal system, all the way up to the final determination of guilt in a criminal trial. We provide a probabilistic framework for describing how information is updated in a forensic analysis setting by using the ratio form of Bayes’ rule. We analyse results from empirical studies using this framework and employ simulations to demonstrate how bias can be compounded where experiments do not exist. We find …

Decision Support For Grassland Systems In Developing Countries, P. K. Thornton

IGC Proceedings (1997-2023)

Key points

1. Information flows in complex systems are often themselves highly complex, and decision support approaches based on linear input-output processes may have only limited impact.

2. How decisions are made, and how they can be appropriately supported, is often incompletely understood, in part because of inadequate understanding of the objectives and attitudes of all the decision makers involved.

3. Much of the developing world faces daunting problems in the coming 30 years, and appropriate information could play a critical role in dealing with these.

4. System complexity, household variability, and institutional intricacies have to be embraced rather than …

Chemical Disease Relation Extraction Through The Combination Of Multiple Mention Levels: Relscan+, Stanley Chika Onye, Nazi̇fe Di̇mi̇li̇ler, Ari̇f Akkeleş

Turkish Journal of Electrical Engineering and Computer Sciences

Chemical-induced disease (CID) relation extraction has been pivotal in the understanding of biological processes. A CID relation between a chemical and disease entity may be extracted either from a single sentence or from two or more adjacent sentences. We use `intrasentence level' to refer to the mention of the desired entities in the same sentence and `intersentence level? to refer to the mention of these entities in two or more adjacent sentences. This study proposes a three-phase architecture for extracting CID relations from biomedical literature by considering both sentence levels and additionally the combination of these two sentence levels which …

An Agent-Based Exploration Of The Hurricane Forecast-Evacuation System Dynamics, Austin Reed Harris

Theses and Dissertations

In the mainland US, the hurricane-forecast-evacuation system is uncertain, dynamic, and complex. As a result, it is difficult to know whether to issue warnings, implement evacuation management strategies, or how to make forecasts more useful for evacuations. This dissertation helps address these needs, by holistically exploring the system’s complex dynamics from a new perspective. Specifically, by developing – and using – an empirically informed, agent-based modeling framework called FLEE (Forecasting Laboratory for Exploring the Evacuation-system). The framework represents the key, interwoven elements to hurricane evacuations: the natural hazard (hurricane), the human system (information flow, evacuation decisions), the built environment (road …

I'M Special But A.I. Doesn't Get It, Huei Huei Laurel Teo

Dissertations and Theses Collection (Open Access)

A growing body of management research on artificial intelligence (AI) has consistently shown that people innately distrust decisions made by AI and find such decision processes simply less fair compared to decisions made by humans. My dissertation adopts a different perspective to propose that aside from fairness concerns, AI decision methods trigger perceptions in people that their individual uniqueness has not be adequately considered and this has negative consequences for their psychological or subjective well-being.

By combining theories of uniqueness, individuality, power, and well-being, I develop five studies to provide empirical evidence that aversion to AI-mediated decisions also operates through …

A Nematode Community-Based Integrated Productivity Efficiency (Ipe) Model That Identifies Sustainable Soil Health Outcomes: A Case Of Compost Application In Carrot Production, A. Habteweld, A. Kravchencko, Parwinder Grewal, H. Melakeberhan

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

Percent soil organic matter (SOM), pH and crop yield are among the biophysicochemical process-driven soil health indicators (SHIs). However, identifying sustainable soil health conditions using these SHIs is limited due to the lack of Integrated Productivity Efficiency (IPE) models. We define IPE as a concept that identifies best-to-worst-case soil health outcomes by assessing the effect of agronomic practices on weighted abundance of functional guilds (WAFG) of beneficial soil organisms and SHIs simultaneously. Expressing WAFG of all beneficial nematodes (x-axis) and SHIs (y-axis) as a percent of untreated control and regression of x and y reveals four quadrants describing worst-to-best-case outcomes …

The Cleaned Approach For Flagging And Addressing Environmental Issues, A. Notenbaert, B. Paul, R. Van Der Hoek, J. Mukiri

IGC Proceedings (1997-2023)

While livestock presents an important livelihood strategy for many smallholders, it is also held responsible for important environmental impacts. In this paper, we used an online survey to identify the perceptions of global livestock experts on environmental impacts of livestock and how these might be tackled. We then explored how the CLEANED environmental ex-ante assessment tool (Comprehensive Livestock Environmental Assessment for improved Nutrition, a secured Environment and sustainable Development = CLEANED) responds to this and how it can be used to influence decision making towards more environmentally-friendly livestock production.

According to the survey, there was general agreement between researchers, development …

Application Of Entropy Method For Estimating Factor Weights In Mining-Method Selection For Development Of Novel Mining-Method Selection System, Elsa Pansilvania Andre Manjate, Mahdi Saadat, Hisatoshi Toriya, Fumiaki Inagaki, Youhei Kawamura

Journal of Sustainable Mining

Mining-method selection (MMS) is one of the most critical and complex decisionmaking processes in mine planning. Therefore, it has been a subject of several studies for many years culminating with the development of different systems. However, there is still more to be done to improve and/or create more efficient systems and deal with the complexity caused by many influencing factors. This study introduces the application of the entropy method for feature selection, i.e., select the most critical factors in MMS. The entropy method is applied to assess the relative importance of the factors influencing MMS by estimating their objective weights …

Using Critical Integrative Argumentation To Assess Socioscientific Argumentation Across Decision-Making Contexts, R. Sparks, P. C. Jimenez, C. Kirby, J. Dauer

School of Natural Resources: Faculty Publications

No abstract provided.

Using A Structured Decision-Making Tool In The Classroom To Promote Information Literacy In The Context Of Decision-Making, J. Dauer, A. Sorensen, P. Jimenez

School of Natural Resources: Faculty Publications

No abstract provided.

Beyond The Green Iron Cage: Exploring The Macro And Micro-Level Influences On Executive Decisions About Sustainability Investments In Small And Medium Size Firms, Igor Estraykh

Theses and Dissertations

Although research on corporate environmental sustainability has shed light on different aspects of organizational and individual level factors that influence corporate decisions, it does not fully account for how individual executives within firms react to these forces and make decisions, specifically within small to medium size enterprises (SMEs). This study used a grounded theory approach to interview 19 SME executives from 13 different industries to explore how organizational and individual level factors influence their ability to evaluate and make decisions related to sustainability initiatives. The study found that SME executives faced isomorphic pressures for sustainability, individual agency pressures, significant resource …

Exercise, Cognition, And Cannabis Use In Adolescents, Ileana Pacheco-Colón

FIU Electronic Theses and Dissertations

Heavy and/or chronic cannabis use has been associated with neurocognitive impairment and decline, often in domains such as memory and executive functioning. On the other hand, exercise has been linked to positive effects on brain and cognitive health across the lifespan, as well as to better substance use outcomes. Despite this, little is known about the ways in which exercise could help prevent or ameliorate adverse cannabis-related outcomes among adolescents.

Through three separate studies, the current dissertation examines interrelations among exercise, cognition, and cannabis use in children and adolescents in an effort to determine whether exercise can prevent or ameliorate …

Computational Modeling For Decision-Making Under Climate Change Uncertainty: Reservoir Simulation Game, Julianne Quinn

All ECSTATIC Materials

Almost every decision you make is under uncertainty. Will I need a rain jacket in the afternoon? Will they say yes if I ask them out? Is 1 hour enough time to finish this assignment? Oftentimes, we can use computational modeling to simulate different scenarios of what might happen in the future to inform what decisions are best on average, or what decisions minimize the worst case outcome. For example, you could decide what player to draft for your Fantasy Football team by simulating player performance. In this activity, we will simulate how much water to release from a dam …

Soft $\Beta$-Rough Sets And Their Application To Determine Covid-19, Mostafa K. El Bably, Abd El Fattah A. El Atik

Turkish Journal of Mathematics

Soft rough set theory has been presented as a basic mathematical model for decision-making for many real-life data. However, soft rough sets are based on a possible fusion of rough sets and soft sets which were proposed by Feng et al. [20]. The main contribution of the present article is to introduce a modification and a generalization for Feng's approximations, namely, soft $\beta$-rough approximations, and some of their properties will be studied. A comparison between the suggested approximations and the previous one [20] will be discussed. Some examples are prepared to display the validness of these proposals. Finally, we put …

Administrative Law In The Automated State, Cary Coglianese

All Faculty Scholarship

In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …

Seasonal Grassland Productivity Forecast For The U.S. Great Plains Using Grass-Cast, Melannie D. Hartman, William J. Parton, Justin D. Derner, Darin K. Schulte, William K. Smith, Dannele E. Peck, Ken A. Day, Stephen J. Del Grosso, Susan Lutz, Brian Fuchs, Maosi Chen, Wei Gao

Drought Mitigation Center: Faculty Publications

Every spring, ranchers in the drought-prone U.S. Great Plains face the same difficult challenge —trying to estimate how much forage will be available for livestock to graze during the upcoming summer grazing season. To reduce this uncertainty in predicting forage availability, we developed an innovative new grassland productivity forecast system, named Grass-Cast, to provide science-informed estimates of growing season aboveground net primary production (ANPP). Grass-Cast uses over 30 yr of historical data including weather and the satellite-derived normalized vegetation difference index (NDVI)—combined with ecosystem modeling and seasonal precipitation forecasts—to predict if rangelands in individual counties are likely to produce below-normal, …

Creating A Culture Of Data-Driven Decision-Making, Kevin Bryan Rogers

Doctoral Dissertations and Projects

Researchers have consistently shown that a supportive culture is one of the most crucial success factors in the implementation of any big data solution. Creating a culture that supports data-driven decision-making is a difficult but ultimately required step in transforming an organization into one that can readily and successfully adopt business intelligence technologies. The purpose of this qualitative case study was to understand the ways in which organizations can foster a culture of smarter decision-making and accountability so that businesses can improve operational metrics and ultimately profitability. Participants identified three major themes that drive the adoption of a data-driven culture. …

Model And Simulation Of Traffic Flow Evolutionary Based On Individual Travel Decision Analysis, Zhuojun Li, Xingguang Chen

Journal of System Simulation

Abstract: Travel choice behavior decision-making mechanism was analyzed at first. On this basis, a traffic evolutionary model was present and the relations between the evolutionary process of traffic flow under the route choice behavior, user individual travels decision-making characteristic parameters and external traffic information were investigated by employing simulation platform. Some significant inspiration and meaningful implications are concluded, i.e., the influential effects of individual travel decision-making parameters for flow evolution are quite complicated. The travel service information should be released and used combined with appropriate travelers to maximize the effect of traffic information. These conclusions will help to deepen understanding …

Wiftcpn Formalized Decision-Making For Auv Formation System Under Uncertainty, Lili Hao, Gu Hao, Fengju Kang, Huizhen Yang

Journal of System Simulation

Abstract: Usually the acquired target information is not sufficient and certain enough due to inaccurate measurements, inconsistent granularity and noise, which results in the AUV formation decision-making system having some characteristics, such as discrete, time delay, hierarchical, fuzzy, inconsistencies. Therefore, an integrated formal approach of modeling, simulation and verification based on weighted intuitionistic fuzzy timed colored petri net (WIFTCPN) was proposed. The mapping relationship between WIFTCPN and fuzzy time, time delay and intuition fuzzy inference rules were established. Furthermore, corresponding reasoning decision simulation model under uncertain information was built by using CPN Tools. The properties including liveness, home and fairness …

Integrated Simulation Test Platform For Environment Perception And Planning Decision Of Intelligent Vehicle, Sun Jian, Runhan Huang, Li Lin, Qiyuan Liu, Yudi Li

Journal of System Simulation

Abstract: The simplicity of testing modules and the lack of high-fidelity and high-density traffic scenes are the primary issues in the intelligent vehicle' simulation test. To solve these problems, a "software in the loop" integration test platform is built. The environmental perception module is integrated on the basis of the PreScan, the planning decision-making module designed by MATLAB/Simulink and the virtual traffic flow environment from Vissim. Based on this platform, high-fidelity traffic flow scenes can be generated rapidly to support the test of environment perception and decision-making integratedly and effectively. Moreover, the intelligent vehicle's influence on the traffic flow …

Understanding Factors Related To Undergraduate Student Decision-Making About A Complex Socio-Scientific Issue: Mountain Lion Management, Ashley Alred, Jenny Dauer

School of Natural Resources: Faculty Publications

We outline an instructional strategy for supporting students’ science literacy skills using a structured decision-making tool in an interdisciplinary undergraduate course. Instructional tools support basing complex socioscientific issues decisions on a reasoned analysis of tradeoffs among multiple conflicting values rather than heuristics, such as social norms. We explored the factors related to students’ decision-making about mountain lion management by examining if students’ value orientations, identity, or knowledge predicted their management decisions before, during, and after engaging in structured decision-making where they performed a tradeoffs analysis. We found that student decision-making may align more closely to students’ value orientations and identity …

Development And Initial Evaluation Of A Reinforced Cue Detection Model To Assess Situation Awareness In Commercial Aircraft Cockpits, Aysen K. Taylor

Engineering Management & Systems Engineering Theses & Dissertations

Commercial transport aircraft of today vary greatly from early aircraft with regards to how the aircraft are controlled and the feedback provided from the machine to the human operator. Over time, as avionics systems became more automated, pilots had less direct control over their aircraft. Much research exists in the literature about automation issues, and several major accidents over the last twenty years spurred interest about how to maintain the benefits of automation while improving the overall human-machine interaction as the pilot is considered the last line of defense.

An important reason for maintaining or even improving overall pilot situation …