Digital Commons Network^™

Cfd Dem Analysis Of A Dry Powder Inhaler, Antara Badhan

Open Access Theses & Dissertations

Dry powder inhalers (DPIs), used as a means for pulmonary drug delivery, typically contains a combination of an Active Pharmaceutical Ingredient (API) and significantly larger carrier particles. The micro-sized drug particles - which have a strong propensity to aggregate and a poor aerosolization performance - are mixed with significantly large carrier particles that are unable to penetrate the mouth-throat region to deagglomerate and entrain the smaller API particles in the inhaled airflow. The performance of a DPI, therefore, depends on entrainment the carrier-API combination particles and the time and thoroughness of the deagglomeration of the individual API particles from the …

Low-Valent Synthons Of Titanium : Investigations On Structure-Reactivity Relationships, Rolando Aguilar

Open Access Theses & Dissertations

Strategies for the functionalization of abundant, small molecules into products with added value provide a powerful approach to address environmental sustainability issues. Dinitrogen (N2), and carbon oxides (CO, CO2), are examples of the ample, yet, underutilized atmospheric feedstock of nitrogen and carbon building blocks to produce a variety of chemicals. Although, potentially valuable, small molecules are inert under most conditions, and as such, their industrial activation often requires heterogeneous catalysts operated under high pressures (200 atm) and temperatures (450-600 ºC).

To this end, great efforts in synthetic inorganic chemistry have been devoted to the generation of well-defined and highly reactive …

Robust Statistical Inference For The Gaussian Distribution, Andrews Tawiah Anum

Open Access Theses & Dissertations

The aim of robust statistics is to develop statistical procedures which are not unduly influenced by outliers or observations that are not representative of the underlying "true" data generating process. This thesis focuses on an estimator with this characteristic. The divergence function is introduced in Chapter 2 with the sole aim of taking the function f to be the univariate normal distribution and α - [0, 1]. The estimator fails when we rely on the classic Newton's method to converge to the minimum of the density power divergence (MDPD) function. There is a tendency of such estimator never to approach …

The Augmenting Effects Of Artificial Intelligence On Marketing Performance, Jing Chen

Open Access Theses & Dissertations

This study explores the antecedents and consequences of firm's artificial intelligence (AI) adoption. Based on technology-organization-environment (TOE) framework and institutional theory, I propose that technological opportunism, top management support, customer orientation, and normative pressure are the main antecedents lead to firm's AI adoption. According to firm's different strategic types, this study added that prospectors are most likely to adopt AI, followed that analyzers, defenders, and reactors. In addition, enlightened by dynamic capability theory, I further propose that the intensity of AI adoption will enhance firm's marketing performance through improved dynamic selling capability, dynamic pricing capability, dynamic new product development capability, …

A Coupled Modeling Framework For Allocation Design In Land-Use And Land-Cover Changes To Optimize Biofuel Feedstock Production, Ana C. Cram

Open Access Theses & Dissertations

Environmental awareness has increased the demand for renewable energy. Notably, the production of biofuels from feedstock is gaining interest as a viable measure to reduce fossil fuels consumption. Nevertheless, it is crucial to identify the trade-offs between bioenergy crop cultivation and the environmental impact on land, water, and atmosphere.

Intensifying biofuel cultivation trigger effects associated with Land Use and Land-use-change, which are complex to assess. While hydrological models had been used to investigate the environmental impacts of land-use changes on water and soil quality, their quantitative assessment is often incomplete. Changes in land use and agricultural activities also contribute to …

Novel Maximum Entrophy Method For The Average Survival Time Differences Between Two Groups, Joscelyne Guzman - Gonzalez

Open Access Theses & Dissertations

We suggest a Maximum Likelihood estimator for the Average Survival Time Difference between two groups, based on the extra time in which should be added to one group to produce the maximum entropy of the result. The estimator is calculated only from time to event data, does not assume hazard proportionality and provides directly the magnitude of the clinical differences between the groups. Our Monte Carlo simulations show that, even at low sample numbers the estimator is a reliable predictor for the clinical differences between the groups, and therefore can be used to estimate from preliminary data whether or not …

Study Of Blinking Statistics In Silver Coated Cobalt Ferrite Single Nanoprticle Using Two-Photon Fluorescence Microscopy, Rajen Kumar Goutam

Open Access Theses & Dissertations

Two-photon fluorescence microscopy is a powerful tool to study the molecular and cellular interactions. This technology is a non-invasive approach with the advantage of three-dimensional imaging up to submicron resolution. Two-photon excitation process is the result of simultaneous absorption of two photons that has special features of reduced photodamaged and elongated penetration depth on samples. In this work, blinking statistics of silver-coated Cobalt ferrite (CoFe2O4) single nanocrystal is studied using two-photon fluorescence microscopy. By defining the intensity threshold, the observed fluorescence is divided into two distinct stages: OFF and ON states. Both of these states followed the inverse power law. …

Computational Study Of Disease Related Proteins Form Electrostatic Point Of View, Chitra Bahadur Karki

Open Access Theses & Dissertations

In the last three decades, many giant DNA viruses have been discovered. The giant viruses present a unique and essential research frontier for the study of self-assembly and regulation of supramolecular assemblies. The question on how these giant DNA viruses assemble thousands of proteins so accurately to form their protein shell, the capsids, remains largely unanswered. Revealing the mechanisms of giant virus assembly will help to discover the mysteries of many self-assembly biology problems. Paramecium Bursaria Chlorella Virus 1 (PBCV-1) is one of the most intensively studied giant viruses. Based on the high-resolution structure of PBCV-1, we implemented a multi-scale …

Interactions Of Bacterial Communities With Hydrous Sulfate Minerals In Water-Restricted Gypsic Environments: A Case Study Based In The White Sands National Monument, Brandon Nicholas Lajoie

Open Access Theses & Dissertations

Microbial communities have been commonly found to survive and thrive in arid to hyper-arid gypsic environments that are considered hostile to most other forms of life. The mechanisms through which microbes have conquered these harsh environments remain poorly understood. Here I hypothesize that the microbial communities in water-restricted gypsic settings could benefit in terms of energy and water sources via their interactions with the abundant hydrous sulfate minerals [i.e., gypsum (CaSO4·2H2O)] that build up these niches. Gypsum is of high bio-relevance because its sulfate component may be used as electron acceptor by sulfate-reducing bacteria and the crystallization water may be …

Forecasting Crashes, Credit Card Default, And Imputation Analysis On Missing Values By The Use Of Neural Networks, Jazmin Quezada

Open Access Theses & Dissertations

A neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain. Neural networks,- also called Artificial Neural Networks - are a variety of deep learning technology, which also falls under the umbrella of artificial intelligence, or AI. Recent studies shows that Artificial Neural Network has the highest coefficient of determination (i.e. measure to assess how well a model explains and predicts future outcomes.) in comparison to the K-nearest neighbor classifiers, logistic regression, discriminant analysis, naive Bayesian classifier, and classification trees. In this work, the theoretical description of the neural network methodology …

On The Performance Of Variable Selection And Classification Via Rank-Based Classifier, Md Showaib Rahman None Sarker

Open Access Theses & Dissertations

In high-dimensional gene expression data analysis, the accuracy and reliability of cancer classification and selection of important genes play a very crucial role. To identify these important genes and predict future outcomes (tumor vs. non-tumor), various methods have been proposed in the literature. But only few of them take into account correlation patterns and grouping effects among the genes. In this article, we propose a rank-based modification of the popular penalized logistic regression procedure based on a combination of l1 and l2 penalties capable of handling possible correlation among genes in different groups. While the l1 penalty maintains sparsity, the …

A Quantitative Assessment Of Trace Metals In Subsurface Soils And Groundwater In Agricultural Fields Of El Paso, Texas, Emmanuel Sosa

Open Access Theses & Dissertations

Intensive agricultural practices such as irrigation, application of pesticides and the use of fertilizers, as well as contamination from urban settings and industrial activities contribute to the input of trace metals onto soils and groundwater. Consequentially, biological uptake and accumulation concentrate these toxic metals in fruits, vegetables, and grains that will be used for human consumption. In southern New Mexico and western Texas, cropland is developed along the Rio Grande valley. These farmers are concerned about the quality of their irrigation water and soils in order to produce adequate crops and maintain healthy soils to maximize revenue. To evaluate loading …

“It’S Making Me A Better Teacher.” Transforming Latinx Teacher Candidates Clinical Field Experiences In A Hispanic Serving Institution, Sandra I. Musanti, Alma D. Rodríguez, Patricia Alvarez Mchatton

Bilingual and Literacy Studies Faculty Publications

This manuscript explores the outcomes of a university-district partnership that provides Latinx teacher candidates with a yearlong clinical experience as the culmination of their teacher preparation. Qualitative data collected as part of a mixed methods study were analyzed to determine how Latinx teacher candidates and cooperating teachers understand learning to teach, and perceptions of the partnership. Results show an emphasis on mastering routines, learning to teach through observation, and reciprocal growth derived from their mentoring relationship. Salient is the tendency to homogenize Latinx students and a reductionist vision of diversity. The authors explore the positionality of culture and language in …

Working Group 6 Summary: Spin And 3d Structure, Oleg Eyser, Bakur Parsamyan, Ted Rogers

Physics Faculty Publications

The spin and 3D structure session of the DIS2019 conference focused on recent efforts to understand nucleon structure using collinear factorization theorems, transverse momentum dependent correlation functions (TMDs), generalized parton distribution (GPDs) and similar objects. A large amount of progress in both theoretical and experimental directions was reported. We summarize some of the highlights here.

School Principal's Leadership Style And Teacher's Self-Efficacy In High And Low Achieving Schools In Chikankata, Zambia, Pardon Mwansa

Dissertations

Problem and Purpose

Much research has been done in past years on the topic of student achievement, with most of those studies focusing on factors that contribute to student achievement. Little, or no research has been done, especially in the country of Zambia, that has focused on the relationship between leadership style, teacher self-efficacy, and the extent to which these constructs impact student achievement. This study explored the school principals' leadership style, teacher self-efficacy, and the extent to which these factors contribute to student achievement in Chikankata District, Zambia. The Ministry of Education in Zambia and other educators, especially those …

Growing South Dakota (Winter 2019), College Of Agriculture, Food And Environmental Sciences

Growing South Dakota (Publication of the College of Agriculture, Food and Environmental Sciences)

This is issue contains the South Dakota Agricultural Experiment Station 2018 Annual Report, and the SDSU Extension 2018 Annual Report.

[Page] 2 Setting Into role as Dean
[Page] 4 Raven Precision Ag Center Groundbreaking Ceremony
[Page] 10 Collaborating for Research-Based Solutions
[Page] 12 From the SDSU Extension Director
[Page] 14 Empowering South Dakotans Through Training and Certifications
[Page] 18 Mental Health and Opioid Education
[Page] 21 Science of Agriculture
[Page] 23 Community Gardens Bring Hope to Pine Ridge Indian Reservation
[Page] 26 Energize! Conference
[Page} 28 Disaster Preparedness Training
[Page] 30 Bush Foundation Change Network
[Page] 32 SDSU to Participate …

Archaeological Backgrounds Of The Sanctuary: A Search For Egyptian Cultural Influence In The Construction Of The Hebrew Tent-Sanctuary, Leslie Scott Baker Jr

Dissertations

Problem

Although the documented description of the construction of the tent-sanctuary appears to give it an Egyptian context in terms of the materials used and the culture of the artisans, in three distinct spheres (sacred, royal-domestic, and military), very little work has been done in comparing the descriptions in the text with the recovered archaeological fabric from Egypt and no study has, as yet, taken the next step of quantifying that comparison through a potentially-repeatable statistical analysis in an effort to determine, in an unbiased manner, the nature of the relationship.

Method

Design and frequency data of the appearing materials …

Working Memory And Attention As Predictors Of Processing Speed In Elementary School Students: A Developmental Study, Monih Alshehri

Dissertations

Problem

Many studies suggest that Processing Speed (PS), Attention, and Working Memory (WM) are major cognitive functions that collaborate to achieve a coherent cognitive system. The aim of the current study was to improve the conception of how these cognitive functions interrelate. The study addressed two main questions: the first, whether PS can be predicted by WM (visual, verbal, and the central executive) and attention of elementary students in first and fifth grade; the second, whether there are gender differences in the rate of change in WM and PS from first to fifth grade.

Method

The participants were taken from …

A Multi-Scale Analysis Of Jaguar (Panthera Onca) And Puma (Puma Concolor) Habitat Selection And Conservation In The Narrowest Section Of Panama., Kimberly A. Craighead

Antioch University Dissertations & Theses

Over the past two centuries, large terrestrial carnivores have suffered extreme population declines and range contractions resulting from the synergistic anthropogenic threats of land-use change and indirect effects of climate change. In Panama, rapid land use conversion coupled with climate change is predicted to negatively impact jaguar (Panthera onca) and puma (Puma concolor). This dissertation examined the environmental variables and scales influencing jaguar and puma habitat selection by season (annual, wet, and dry), using multi-scale optimized habitat suitability models and a machine-learning algorithm (Random Forests), in the narrowest section of Panama. The models derived from the data of an intensive …

Divergent Trophic Responses Of Sympatric Penguin Species To Historic Anthropogenic Exploitation And Recent Climate Change, Kelton Mcmahon, Chantel I. Michelson, Tom Hart, Matthew D. Mccarthy, William P.P. Patterson, Michael J. Polito

Graduate School of Oceanography Faculty Publications

The Southern Ocean is in an era of significant change. Historic overharvesting of marine mammals and recent climatic warming have cascading impacts on resource availability and, in turn, ecosystem structure and function. We examined trophic responses of sympatric chinstrap (Pygoscelis antarctica) and gentoo (Pygoscelis papua) penguins to nearly 100 y of shared environmental change in the Antarctic Peninsula region using compound-specific stable isotope analyses of museum specimens. A century ago, gentoo penguins fed almost exclusively on low-trophic level prey, such as krill, during the peak of historic overexploitation of marine mammals, which was hypothesized to have …

Microstructure Evolution Of Chalcogenide Materials Via Molecular Dynamics, Sharmin Abdullah

Open Access Theses & Dissertations

The properties of a material are defined by its granular microstructure which is determined by its grain evolution and the types of grain boundaries present in the structure. For example, the performance of Cadmium Sulfide/Cadmium Telluride (CdS/CdTe) solar cells can be affected by the presence of grain boundaries which makes the study of grain structure evolution a very important part of solar cell performance optimization. Grain boundary mobilities are important properties in material science and engineering as they determine grain structures under given processing and operating conditions.

In this thesis, several computational tools were used to analyze the formation and …

Confidence Intervals For The Expected P-Value, Emmanuel Kofi Abrefa

Open Access Theses & Dissertations

The p-value is widely used in many application fields. In common practice, a scientific finding is deemed statistically significant if its resultant p-value is less than a pre-specified significance level, for example α = 0.05, albeit many statistically significant results are not reproducible in new studies. Mixed reasons including misuses, abuses, misunderstanding and misinterpretation arouse intensive debates and conservatives around the p-value from time to time over the years. Yet no reasonable solutions have been proposed. In this research, we make efforts to close the gap by advocating the use of confidence level for the expected p-value p0. This allows …

Earthquake Magnitude Prediction Using Support Vector Machine And Convolutional Neural Network, Esther Amfo

Open Access Theses & Dissertations

A deep learning-based method Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for earthquake prediction is proposed. Large-magnitude earthquakes triggered by earthquakes can kill thousands of people and cause millions of dollars worth of economic losses. The accurate prediction of large-magnitude earthquakes is a worldwide problem.

In recent years, deep learning technology that can automatically extract features from mass data has been applied in image recognition, natural language processing, object recognition, etc., with great success. We explore to apply deep learning technology to earthquake prediction, we propose a deep learning method for continuous earthquake prediction using historical seismic events. …

Ethical Leadership, David A. Armstrong

Intercultural Human Rights Law Review

Our world is in desperate need of Ethical Leaders. In turmoil, it tumbles toward the abyss of hatred, violence, and anarchy. The cry for leaders with an authentic ethical agenda dedicated to the common good rises, and it assumes increasing urgency. This contribution is meant to honor John and June Mary Makdisi, intellectual and moral leaders of the academy. Their upcoming retirement provides the welcome occasion to reflect on responsible leadership in the necessarily joint universe of law and morality. This essay undertakes to delimit the proper understanding of ethical leadership, provides historical examples, and explores the question as to …

Exploring Paths For Water Services And Human Capabilities In U.S.-Mexico Border Colonias, Chilton Tippin

Open Access Theses & Dissertations

This Thesis examines causes and consequences of water insecurity in colonias on the U.S.-Mexico border and explores potential pathways for improving situations wherein low-income households lack reliable access to water and sewer services. Colonias are low-income, rural and/or semi-rural communities that lack basic services, such as paved streets, water, and sewer. Through in-depth interviews, surveys, and ethnographic observations, the research presented here describes needs, desires, and capabilities of residents in two high-needs Texas colonias. First, findings elucidate the lived experiences of water insecurity in colonias households, leading to an argument that lacking water access constitutes a nexus, wherein water insecurity …

Study Of Multielectron Redox Chemistry In Bimetallic Complexes And Metal-Free Macrocycles, Nancy Rodriguez Lopez

Open Access Theses & Dissertations

Multielectron redox chemistry is fundamental for the activation of small molecules (e.g. H2O, CO2, CO, N2). Although these processes are of great importance, they are not well understood. Unravelling the mechanisms of electron transfer and its principles is essential for the design and development of efficient catalysts. Our approach towards the understanding of multielectron redox chemistry includes theoretical study of mechanistic pathways in the hydrogen evolution reaction (HER) by metal-free porphyrinoids, the study of electronic communication in non-symmetric multimetallic two-state models (D–B–A) and the tuning of the electronic properties of bimetallic systems (Mo, and Au) by ligand control.

In Chapter …

Dust Storms And The Dispersal Of Aquatic Invertebrates In The Chihuahuan Desert Ecoregion, Jose Rivas Jr.

Open Access Theses & Dissertations

The Chihuahuan Desert surrounding El Paso, Texas is one of the most intense sources of dust in the Western Hemisphere. Within this vast desert are ephemeral wetlands with micrometazoan propagules contained within their sediment egg banks. Dispersal of aquatic microinvertebrates between habitats is vital for the success of their populations. Passive dispersal of the propagules provides an escape mechanism from unfavorable conditions. Upon desiccation of these habitats, windstorms can potentially transport propagules mixed within entrained sediments across regional scales. To study this process, I collected falling sediment from 91 windstorms, with 59 samples collected at the University of Texas at …

Near Room Temperature Magnetocaloric Materials For Magnetic Refrigeration, Eduardo Martinez Teran

Open Access Theses & Dissertations

Magnetic refrigeration (MR) is a cooling process based on the magnetocaloric effect (MCE) that is present to some extent in all magnetic materials, and the ones in which this effect is more appreciable are called magnetocaloric materials (MCM). The implementation of new designs and materials for the construction of cooling systems is a must do, being essential that these improved designs will reduce the environmental impact and increase the efficiency of their predecessors. In this thesis, the magnetocaloric effect theory is presented from a thermodynamic point of view and also the synthesis and study to a new Heusler alloy (MnFe2Ga) …

Towards Analytical Techniques For Systems Engineering Applications, Griselda Valdepeñas Acosta

Open Access Theses & Dissertations

One of the main objectives of systems engineering is to design, maintain, and analyze systems that help the users. To design an appropriate system for an application domain, we need to know: what are the users' desires and preferences (so that we know in what direction we should aim to change this domain), what is the current state and what is the dynamics of this application domain, and how to use all this information to select the best alternatives for the system design and maintenance. Designing a system includes selecting numerical values for many of the parameters describing the corresponding …

Bayesian Analysis Of Ordinal Outcomes Through Latent Variable Approach, Benard Owusu Dechi

Open Access Theses & Dissertations

Modeling and predicting of ordinal outcomes have become essential study to many statisticians due to the numerous forms of data encountered in real life, which has such format. Many authors have proposed variant methods in modeling these type of data either in classical approaches (McCullagh, 1980a) or from the Bayesian perspective (Albert and Chib, 1993) (Cowles et al., 1996). A commonly adopted way of modeling ordinal data is via an underlying continuous latent variable. That is to say that the observed ordinal outcomes have a correspondence with the latent variable through some set of cutoff points. Thus, it can be …