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Where Law And Science (And Religion) Meet, David Faigman

Faculty Scholarship

No abstract provided.

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Interdisciplinary Research And Environmental Law, Dave Owen, Caroline Noblet

Faculty Scholarship

No abstract provided.

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Introduction Effort, Climate Matching And Species Traits As Predictors Of Global Establishment Success In Non-Native Reptiles, Peter J. Mahoney, Karen H. Beard, Andrew M. Durso, Aimee G. Tallian, Arin Lexine Long, Ryan J. Kindermann, Nicole E. Nolan, Daniel Kinka, Harrison E. Mohn

Biology Faculty Publications

Non-native reptiles are often detrimental to native communities and ecosystems and can be extremely difficult to manage once established. Thus, there is considerable interest in predicting the likelihood of establishment of nonnative reptiles. We assessed three hypotheses describing possible factors contributing to the successful establishment of introduced reptiles in an effort to better identify potential invaders.

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An Examination Of The Sources Of Resiliency Possessed By Teachers Of Students At-Risk Of Not Meeting Graduation Requirements, John H. Mayberry

Electronic Theses and Dissertations

Teacher shortages exist in the fields of special education and alternative education, particularly for students who suffer from behavioral and emotional disorders. Significant attrition, high stress levels and burnout indicates organizational cultures may not provide support for teachers' resiliency. There are teachers who find a way to survive and even thrive in less desirable environments with limited support (Patterson et al, 2004). Resiliency attributes include a personal sense of competence, belonging and optimism (Bernshausen and Cunningham, 2001). The lack of qualified teachers willing to work in alternative educational settings threatens the quality of education that students with behavioral and emotional …

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Prediction Of Discretization Error Using The Error Transport Equation, Don Roscoe Parsons Iii

Graduate Theses, Dissertations, and Problem Reports (ETD)

Since its conception, computational fluid dynamics (CFD) has had a role to play in both the industrial and the academic realm. Due to the availability of relatively cheap computer resources, CFD is now playing an increasingly critical role in the industry compared to experiments. It is also becoming increasingly important for the CFD analyst to have an in-depth understanding of the error inherently present in numeric and mathematical models. At a minimum, CFD simulation results should be accompanied by some analysis of the error including some type of grid convergence study and an estimation of the corresponding numerical uncertainty.;Error estimation …

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Characterization Of Activities Of Crumb Rubber In Interaction With Asphalt And Its Effect On Final Properties, Amir Ghavibazoo

Civil and Environmental Engineering

Recycling of millions of scrap tires produced everyday is crucial challenge encountered by waste management systems. Recycling tire rubbers in form of ground tire rubber, known as crumb rubber modifier (CRM), in asphalt industry was introduced in early 1960's and is proved as an effective recycling method. Interaction between CRM and asphalt is physical in nature which happens mainly due to exchange of components between CRM and asphalt and enhances the time temperature dependant properties of asphalt. In this work, the interaction between CRM and asphalt was evaluated through monitoring the evolutions of CRM in asphalt in macro and micro-level. …

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Short-Term Resource Allocation And Management, Denis Da Cruz Pinha

Graduate Theses, Dissertations, and Problem Reports (ETD)

Almost all sectors of the economy, such as, government, healthcare, education, ship repair, construction, and manufacturing require project management. A key component of project management deals with scheduling of tasks such that limited resources are utilized in an effective manner. Current research on resource constrained project-scheduling has been classified as: a) Single project with single mode for various tasks, b) Single project with multiple task modes, c) Multiple projects with single task mode, and d) Multiple projects with multiple task modes.;This work extends the current multi-project, multi-mode scheduling techniques. The resources can be renewable, and non-renewable. In addition, it focuses …

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A Simulation Model For The Procedure Of Psychiatric Patients' Diversion At William R. Sharpe, Jr. Hospital Using Flocking Algorithm For Input Modeling, Aida Rabiee Gohar

Graduate Theses, Dissertations, and Problem Reports (ETD)

The high rate of civil commitment in West Virginia indicates that the bureau of mental health in the state has been inefficient and unproductive at facilitating the procedures of mental health system delivery, to the point that the two state hospitals of West Virginia are often at their full capacity and incapable of admitting any new cases. This inadequacy at managing psychiatric emergencies causes frequent diversion of civil committed patients from the state psychiatric hospitals to other community psychiatric units, and ultimately costs the state an un-budgeted {dollar}4 million annually.;The main objective of this research is to contribute to the …

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The Application Of Electroanalytical Techniques To The Study Of Coating Systems, Kenneth James Croes

Coatings and Polymeric Materials

Electroanalytical techniques are often employed to augment standard practices utilized to study and characterize coating performance on metal substrates, yielding information that is not provided by standard coating analysis methods. Electrochemical impedance spectroscopy (EIS) was utilized to study epoxy-amine coatings incorporating oligomers and monomers of phenylenediamine in the coating structure; these results were compared to unusual EIS results obtained in previous studies of organic-inorganic hybrid sol-gel coatings attributed to the sol-gel structure. With a different coating structure, the unusual results were replicated in coatings containing phenylenediamine oligomers but not monomer. The results suggested the oligomers caused the coatings to act …

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Electrochemical Investigation Of Powder Coatings And Their Application To Magnesium-Rich Primers For Corrosion Protection, Casey Roy Orgon

Coatings and Polymeric Materials

Corrosion is the decomposition of metal and metal alloys which threatens the integrity of manmade structures. One of the more efficient methods of delaying the corrosion process in metals is by coatings. In this work, the durability of two polyester powder coatings were investigated for corrosion protection of AA-2024-T3. Polyester powder coatings crosslinked by either triglycidyl isocyanurate (TGIC) or β-hydroxyalkyl amide (HAA) compounds were prepared and investigated for barrier protection of metal substrates by electrochemical impedance spectroscopy (EIS). Polyester-TGIC coatings were found to provide better long-term protection, which can be attributed to the increased mechanical strength and higher concentration of …

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Quantitative Assessment Of The Discrimination Potential Of Class And Randomly Acquired Characteristics For Crime Scene Quality Shoeprints, Nicole Richetelli

Graduate Theses, Dissertations, and Problem Reports (ETD)

Footwear evidence has tremendous forensic value; it can focus a criminal investigation, link suspects to scenes, help reconstruct a series of events, or otherwise provide information vital to the successful resolution of a case. When considering the specific utility of a linkage, the strength of the connection between the source footwear and an impression left at the scene of a crime varies with the known rarity of the shoeprint itself, which is a function of the class characteristics, as well as the complexity, clarity, and quality of randomly acquired characteristics (RACs) available for analysis. To help elucidate the discrimination potential …

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The Effect Of Direct Instruction On Spanish Language Acquisition In A Preschool Free-Play Environment: A Single-Case Design, Lucy Rose Scotti

Graduate Theses, Dissertations, and Problem Reports (ETD)

The predicted increase in Spanish speakers within the United States brings to light a new direction for preschool curricula. There are multiple, on-going arguments about the best time for children to learn a second language and what role critical periods for brain development play in second language acquisition. Although there are individual differences in development, the current study demonstrates that children can learn Spanish vocabulary words with an average of 30 minutes of instruction per week. Using a combination of direct instruction with developmentally appropriate practices, hands-on, and engaging activities, the teaching of Spanish vocabulary, themed and age appropriate for …

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Ndsu Scholar: Application To Search Articles Relevant To A Research Problem, Rahul Sharma

Computer Science

Because of recent development in the field of computers, there has been substantial growth in the field of online education that varies from online tutors to electronic research papers. Now days, a student can find almost any resource on the internet on any topic they wish to choose from. This platform also assists students in doing their research on a particular topic by providing them a search interface where they can enter their query and get relevant results. Some examples of these search engines are Google Scholar, ASK etc. I have built an online search application that will help assist …

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Addressing Off-Nominal Behaviors In Requirements For Embedded Systems, Daniel Aceituna

Computer Science

System requirements are typically specified on the assumption that the system's operating environment will behave in what is considered to be an expected and nominal manner. When gathering requirements, one concern is whether the requirements are too ambiguous to account for every possible, unintended, Off-Nominal Behavior (ONB) that the operating environment can create, which results in an undesired system state. In this dissertation, we present two automated approaches which can expose, within a set of embedded requirements, whether an ONB can result in an undesired system state. Both approaches employ a modeling technique developed as part of this dissertation called …

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Sliding Window Based Technique To Obtain Correlation Between Field Variables, Harshada Chandrakant Chavan

Computer Science

In agriculture, finding correlation between field variables such as yield, NDVI, etc. is a classic problem. The most popular solution for finding correlation is to use regression analysis over complete field. In a field, there are numerous soil variables such as soil composition, water content, etc. that affect the correlation and it is not always possible to consider such factors in regression model. These factors adversely affect the accuracy of the correlation model. We demonstrate that it is incomplete and inaccurate to represent such correlation using single regression model for the complete field. We propose a novel technique- Sliding Window …

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Particle Swarm Optimization Algorithm: Variants And Comparisons, Sowjanya Mattaparthi

Computer Science

Since the introduction of Particle Swarm optimization by Dr. Eberhart and Dr. Kennedy, there have been many variations of the algorithm proposed by many researchers and various applications presented using the algorithm. In this paper, we applied variants of Particle swarm optimization on various benchmark functions in multiple dimensions, using the computational procedure to find the optimal solutions for those functions. We ran the variants of the algorithm 51 times on each of the 17-benchmark functions and computed the average, variance and standard deviation for 10, 30, and 50 dimensions. Using the results, we found the suitable variants of the …

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Region Based Data Mining On Agriculture Data, Babitha Battu

Computer Science

Spatial Data Mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. Most relationships in spatial datasets are regional and there is a great need for regional regression methods that derive regional reflects different spatial characteristics of different regions. A central challenge in spatial data mining is the efficiency of spatial data mining algorithms, due to the often huge amount of spatial data and the complexity of spatial data types and spatial accessing methods. This paper proposes a regional regression technique for regions that are defined by a categorical attribute, in particular …

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Partial Oxidation Of Hydrocarbons In A Segmented Bed Using Oxide-Based Catalysts And Oxygen-Conducting Supports, Mark W. Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

Two objectives for the catalytic reforming of hydrocarbons to produce synthesis gas are investigated herein: (1) the effect of oxygen-conducting supports with partially substituted mixed-metal oxide catalysts, and (2) a segmented bed approach using different catalyst configurations. Excess carbon deposition was the primary cause of catalyst deactivation, and was the focus of the experiments for both objectives. The formation and characterization of deposited carbon was examined after reaction for one of the selected catalysts to determine the quantity and location of the carbon on the catalyst surface leading to deactivation.;A nickel-substituted barium hexaaluminate (BNHA), with the formula BaAl 11.6Ni0.4O18.8, and …

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A Data Mining Approach For Identifying Pavement Distress Signatures, Megan Sue Bouret

Computer Science

This work introduces signature-based data mining of pavement distress data. The goal is to understand the factors that influence pavement distress. The presented approach maintains multiple types of flexible pavement distress scores throughout the analysis and considers them as signatures. The signatures are used to establish the relationship between distress score increases and overweight truck characteristics. Hierarchical clustering of pavement distress signatures provides insights into similarities among road segments. The use of signatures, rather than composite distress scores, is consistent with a data mining approach to the pavement distress problem. One set of experiments showed a relationship between the discovered …

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Implementation And Evaluation Of Cma-Es Algorithm, Srikanth Reddy Gagganapalli

Computer Science

Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical optimization methods lies in the fact that they require very little or no prior knowledge regarding differentiability or continuity of the objective function. The inspiration to learn evolutionary processes and emulate them on computer comes from varied directions, the most pertinent of which is the field of optimization. In most applications of EAs, computational complexity is a prohibiting factor. This computational complexity is due to number of …

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Understanding The Educational Experiences Of Science Teachers In A Five-Year Teacher Education Program: A Phenomenological Study, Nitin Srivastava

Graduate Theses, Dissertations, and Problem Reports (ETD)

This qualitative study provides an overview of educational experiences of six in-service and three pre-service secondary science teachers in the Benedum Collaborative Five-Year Teacher Education Program at a land-grant university. The researcher interviewed secondary science teachers on the experiences they found meaningful in various program components that influenced their teacher identity, beliefs about science pedagogy, and their sense of preparedness for teaching. Document analysis of teachers' journals and lesson plans supplemented the qualitative data in addition to the researcher's role and knowledge as an outsider (non-Benedum graduate) and insider (facilitator and instructor in the technology integration based classes for one …

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Building An Understanding: What Motivates Teachers To Use Science In Motion, Karen M. Spuck

Graduate Theses, Dissertations, and Problem Reports (ETD)

Science education reform documents call for instructional practices that include scientific equipment and materials. Often, these types of resources are inaccessible for schools, especially those which are rural and socio-economically challenged, due largely to budgetary considerations. Science outreach partnerships are able to bridge the gap between what is called for in science education reform documents and the realities of many schools. Science in Motion is a science outreach partnership project located in rural Northwestern Pennsylvania, supported by state funds, that provides equipment, curricular materials, and professional development free of charge for area science educators. Teacher participation in this project is …

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A Map Reduce Approach Of K-Means++ Algorithm With Initial Equidistant Centers, Krittika Bhattacharyya

Computer Science

Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the progress of technology, makes clustering of very large scale of data a challenging task. In order to deal with the problem, many researchers try to design efficient parallel clustering algorithms. In this paper, we propose a parallel k-means++ clustering algorithm based on MapReduce, which is simple like traditional K-means, yet more powerful because the initial centroid selection process is not random. It follows a formula to plot initial centroids at equal …

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Multi-Variate Attribute Selection For Agricultural Data, Xing John Xu

Computer Science

Farmers always have been concerned about the quantity of crops (yield) as well as the quality of crops (sugar content of the sugar beets). The quality and quantity of crops are affected by various attributes, some are natural elements (rain, sunshine etc) and some are not (the amount of fertilizer, seed type etc). Some techniques have been developed to discover attributes that are important to different crops’ yield. But within those selected attributes, how can we tell one attribute is more important than the other? The proposed algorithm is aimed to utilize the advantages of multiple response attributes to select …

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Design And Development Of The Wvu Advanced Technology Satellite For Optical Navigation, Miranda Straub

Graduate Theses, Dissertations, and Problem Reports (ETD)

In order to meet the demands of future space missions, it is beneficial for spacecraft to have the capability to support autonomous navigation. This is true for both crewed and uncrewed vehicles. For crewed vehicles, autonomous navigation would allow the crew to safely navigate home in the event of a communication system failure. For uncrewed missions, autonomous navigation reduces the demand on ground-based infrastructure and could allow for more flexible operation. One promising technique for achieving these goals is through optical navigation. To this end, the present work considers how camera images of the Earth's surface could enable autonomous navigation …

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Electricity Demand Prediction Using Artificial Neural Network Framework, Sowjanya Param

Computer Science

As the economy is growing, electricity usage has been growing and to meet the needs of energy market in providing the electricity without power outages, utility companies, distributors and investors need a powerful tool that can effectively predict electricity demand day ahead that can help them in making better decisions in inventory planning, power generation, and resource management. Historical data is a great source that can be used with artificial neural networks to predict electricity demand effectively with a decent error rate of 0.06.

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Role Of Interference And Computational Complexity In Modern Wireless Networks: Analysis, Optimization, And Design, Salvatore Talarico

Graduate Theses, Dissertations, and Problem Reports (ETD)

Owing to the popularity of smartphones, the recent widespread adoption of wireless broadband has resulted in a tremendous growth in the volume of mobile data traffic, and this growth is projected to continue unabated. In order to meet the needs of future systems, several novel technologies have been proposed, including cooperative communications, cloud radio access networks (RANs) and very densely deployed small-cell networks. For these novel networks, both interference and the limited availability of computational resources play a very important role. Therefore, the accurate modeling and analysis of interference and computation is essential to the understanding of these networks, and …

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Topics In Graph Compositions, Todd Tichenor

Graduate Theses, Dissertations, and Problem Reports (ETD)

For any discrete undirected graph G with vertex set V(G) and edge set E(G) (respectively), a graph composition of G is defined to be a partition of V(G) where every element of the partition yields a connected, induced subgraph of G. This dissertation is comprised of 5 chapters. The first is a general introduction to the concept of graph compositions and a survey of previously researched work; the second focuses on the composition number of deletions of specific graphs from complete graphs; the third focuses on establishing bounds for the composition number of general graphs and the Bell number coefficients …

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Design, Fabrication, And Testing Of A Multi-Cycle Pulse Detonation Engine, Eli M. Thorpe

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the constant drive to improve the efficiency of systems used to generate heat and work pulse detonation engines have been explored. Pulse detonation engines can be described by the Humphrey thermodynamic cycle which, in theory, has advantages over the Brayton, Otto, and Diesel cycles.;This work is concerned with the design, fabrication, and the initial tests of a pulse detonation laboratory test bed. The test bed was designed with modularity and ease of alteration in mind while ensuring that a wide range of detonable fuel and oxidizer mixtures where able to be utilized.;Initial testing with a methane and oxygen mixture …

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"Man Of The House": A Turning Point That Leads To Criminal Behavior?, Delia A. Trickett

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research study seeks to formally test a relationship between household structure, birth order and juvenile delinquency that was suggested as an onset to criminal behavior by men incarcerated in a maximum security facility. The focus of this study is on first born males due to the retrospective narratives given by the incarcerated men that being a first born male who has either lost a father-or father figure due to death, divorce and/or prison have felt a sense of responsibility as the "man of house" to be able to provide family stability which can include care of other siblings, maintaining …

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Full-Text Articles in Entire DC Network

Where Law And Science (And Religion) Meet, David Faigman

Faculty Scholarship

Interdisciplinary Research And Environmental Law, Dave Owen, Caroline Noblet

Faculty Scholarship

Introduction Effort, Climate Matching And Species Traits As Predictors Of Global Establishment Success In Non-Native Reptiles, Peter J. Mahoney, Karen H. Beard, Andrew M. Durso, Aimee G. Tallian, Arin Lexine Long, Ryan J. Kindermann, Nicole E. Nolan, Daniel Kinka, Harrison E. Mohn

Biology Faculty Publications

An Examination Of The Sources Of Resiliency Possessed By Teachers Of Students At-Risk Of Not Meeting Graduation Requirements, John H. Mayberry

Electronic Theses and Dissertations

Prediction Of Discretization Error Using The Error Transport Equation, Don Roscoe Parsons Iii

Graduate Theses, Dissertations, and Problem Reports (ETD)

Characterization Of Activities Of Crumb Rubber In Interaction With Asphalt And Its Effect On Final Properties, Amir Ghavibazoo

Civil and Environmental Engineering

Short-Term Resource Allocation And Management, Denis Da Cruz Pinha

Graduate Theses, Dissertations, and Problem Reports (ETD)

A Simulation Model For The Procedure Of Psychiatric Patients' Diversion At William R. Sharpe, Jr. Hospital Using Flocking Algorithm For Input Modeling, Aida Rabiee Gohar

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Application Of Electroanalytical Techniques To The Study Of Coating Systems, Kenneth James Croes

Coatings and Polymeric Materials

Electrochemical Investigation Of Powder Coatings And Their Application To Magnesium-Rich Primers For Corrosion Protection, Casey Roy Orgon

Coatings and Polymeric Materials

Quantitative Assessment Of The Discrimination Potential Of Class And Randomly Acquired Characteristics For Crime Scene Quality Shoeprints, Nicole Richetelli

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Effect Of Direct Instruction On Spanish Language Acquisition In A Preschool Free-Play Environment: A Single-Case Design, Lucy Rose Scotti

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ndsu Scholar: Application To Search Articles Relevant To A Research Problem, Rahul Sharma

Computer Science

Addressing Off-Nominal Behaviors In Requirements For Embedded Systems, Daniel Aceituna

Computer Science

Sliding Window Based Technique To Obtain Correlation Between Field Variables, Harshada Chandrakant Chavan

Computer Science

Particle Swarm Optimization Algorithm: Variants And Comparisons, Sowjanya Mattaparthi

Computer Science

Region Based Data Mining On Agriculture Data, Babitha Battu

Computer Science

Partial Oxidation Of Hydrocarbons In A Segmented Bed Using Oxide-Based Catalysts And Oxygen-Conducting Supports, Mark W. Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

A Data Mining Approach For Identifying Pavement Distress Signatures, Megan Sue Bouret

Computer Science

Implementation And Evaluation Of Cma-Es Algorithm, Srikanth Reddy Gagganapalli

Computer Science

Understanding The Educational Experiences Of Science Teachers In A Five-Year Teacher Education Program: A Phenomenological Study, Nitin Srivastava

Graduate Theses, Dissertations, and Problem Reports (ETD)

Building An Understanding: What Motivates Teachers To Use Science In Motion, Karen M. Spuck

Graduate Theses, Dissertations, and Problem Reports (ETD)

A Map Reduce Approach Of K-Means++ Algorithm With Initial Equidistant Centers, Krittika Bhattacharyya

Computer Science

Multi-Variate Attribute Selection For Agricultural Data, Xing John Xu

Computer Science

Design And Development Of The Wvu Advanced Technology Satellite For Optical Navigation, Miranda Straub

Graduate Theses, Dissertations, and Problem Reports (ETD)

Electricity Demand Prediction Using Artificial Neural Network Framework, Sowjanya Param

Computer Science

Role Of Interference And Computational Complexity In Modern Wireless Networks: Analysis, Optimization, And Design, Salvatore Talarico

Graduate Theses, Dissertations, and Problem Reports (ETD)

Topics In Graph Compositions, Todd Tichenor

Graduate Theses, Dissertations, and Problem Reports (ETD)

Design, Fabrication, And Testing Of A Multi-Cycle Pulse Detonation Engine, Eli M. Thorpe

Graduate Theses, Dissertations, and Problem Reports (ETD)

"Man Of The House": A Turning Point That Leads To Criminal Behavior?, Delia A. Trickett

Graduate Theses, Dissertations, and Problem Reports (ETD)