Digital Commons Network^™

Delineation Of A Coal Combustion Residue Landfill And Underlying Karst Subsurface In Southwest Missouri Using Ert And Masw Surveys, Ruobai Zhao

Doctoral Dissertations

"The safe containment of coal combustion residual (CCR) in landfills was addressed by the U.S. Environment Protection Agency (EPA) CCR rule published in 2015. The new rule affects new and existing U.S. based CCR landfills in terms of implementing safeguard systems for safe disposal and contamination control. Electrical resistivity tomography (ERT) and multichannel analysis of surface waves (MASW) data were acquired across and in proximity to a CCR landfill in southwest Missouri, USA, with the intent to identify potential karst features and seepage pathways.

Electrical resistivity tomography data were acquired using an automated 8-channel resistivity meter and multichannel analysis of …

Cleaning Up The Industry: Improving Protections For Precarious And Child Domestic Workers, Meredith Mcbride

Fordham International Law Journal

No abstract provided.

International Legal Ethics: The Evolution Of A Field, Deborah L. Rhode

Fordham International Law Journal

No abstract provided.

The Impact Of International Lawyer Organizations On Lawyer Regulation, Leslie C. Levin, Lynn Mather, Leny De Groot-Van Leeuwen

Fordham International Law Journal

No abstract provided.

The Relevance Of Fatf's Recommendations And Fourth Round Of Mutual Evaluations To The Legal Profession, Laurel S. Terry, José Carlos Llerena Robles

Fordham International Law Journal

No abstract provided.

A Relationship Of Reciprocal Influence: Singapore Company Law And The Economy, Vincent Ooi, Cheng Han Tan

Research Collection Yong Pung How School Of Law

A strong reciprocal relationship has existed between Singapore Company Law (“SCL”) and the economy since Independence in 1965. Swift Parliamentary responses to economic events and successful implementation of Government policies has made it possible to clearly attribute cause and effect to statutory amendments and economic events in turn, proving the reciprocal relationship between the two. The first theme of this paper seeks to explain the fundamental characteristics of SCL that have resulted in such an unusually strong reciprocal relationship: the 1) Autochthonous nature of SCL; 2) Responsive nature of legislation; and 3) Government control at multiple levels of implementation. The …

Evaluation Of The Mechanical Properties, In Vitro Biodegradability And Cytocompatibility Of Natural Chitosan/Hydroxyapatite/Nano-Fe3o4 Composite, Fatemeh Heidari, Mehdi Razavi, Mohammad E. Bahrololoom, Mostafa Yazdimamaghani, Mohammadreza Tahriri, Hari Kotturi, Lobat Tayebi

Chemical and Biochemical Engineering Faculty Research & Creative Works

The main goal of this research was the preparation and evaluation of the mechanical properties, in vitro biodegradability and cytocompatibility, of natural chitosan/hydroxyapatite/nano magnetite (nano-Fe3O4) composite. Different ratios of these components were investigated, including chitosan/hydroxyapatite: 4/4 (S1), chitosan/hydroxyapatite: 4/6 (S2), and chitosan/hydroxyapatite: 6/4 (S3). Mechanical properties of fabricated composites were examined using bending and compression tests before immersion, and after 2 and 9 weeks of immersion in the Ringer's solution. Scanning electron microscope (SEM) was employed for observing the bending fracture surface and analyzing the degradation morphology. Human mesenchymal stem cells (hMSC) were also cultured on the samples in order …

Polar Gigantism And Sea Spiders: A Study Of Respiratory Scaling, Steven Joseph Lane

Graduate Student Theses, Dissertations, & Professional Papers

All animals must breathe to survive. The types of primary respiratory structures vary across the metazoa, and the overall size and components of these structures scale with body size. The scaling of respiratory structures has been well studied in vertebrate lungs and gills, but very few, if any studies, have looked at it in terms of cutaneous gas exchange, the process where oxygen moves across the outer integument via diffusion. My dissertation has sought to fill this gap in knowledge by studying animals that use cutaneous respiration, and my work has determined both how the components of their respiratory surfaces …

The Enduring Importance Of Wildness: Shepherding Wilderness Through The Anthropocene, Patrick Ram Kelly

Graduate Student Theses, Dissertations, & Professional Papers

Wilderness and wildness have long been essential values at the heart of American conservation. Both have played critical roles in the formation of environmental ethics, providing a conceptual foundation for the belief that the non-human natural world is valuable for its own sake (Nash, 2001). After grounding and inspiring much of 20th century environmentalism, their influence in the current century has grown increasingly tentative. The arrival of what some have called the “Anthropocene epoch” – a term meant to capture the planetary scale impacts of human activity – now threatens the continued viability and relevance of wilderness and wildness to …

The Effects Of Common Methods Of Soft Tissue Removal On Skeletal Remains: A Comparative Analysis, Emily Silverman

Graduate Student Theses, Dissertations, & Professional Papers

The removal of soft tissue from skeletal remains is a process familiar to a wide array of scientific fields and the methods used to perform it are likewise numerous yet inconsistent. In forensic investigations and crime labs across the country, there lacks a standardization for this process. This lack of standardization pairs with a distinct lack of literature on the potential benefits and risks associated with each method as well as basic information on the proper amount of additives, temperatures, or time estimations. In a forensic context, human remains may be the only evidence available, which makes any damage or …

The Effects Of Common Methods Of Soft Tissue Removal On Skeletal Remains: A Comparative Analysis, Emily Silverman

Graduate Student Theses, Dissertations, & Professional Papers

The removal of soft tissue from skeletal remains is a process familiar to a wide array of scientific fields and the methods used to perform it are likewise numerous yet inconsistent. In forensic investigations and crime labs across the country, there lacks a standardization for this process. This lack of standardization pairs with a distinct lack of literature on the potential benefits and risks associated with each method as well as basic information on the proper amount of additives, temperatures, or time estimations. In a forensic context, human remains may be the only evidence available, which makes any damage or …

Containment Control Of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach, Yongliang Yang, Shusen Cheng, Yixin Yin, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a distributed optimal model reference adaptive control approach for solving containment control of heterogeneous multi-agent systems (MASs) with non-autonomous leaders. First, a fully distributed adaptive observer is designed to provide for each agent the desired reference trajectory by estimating the convex hull spanned by leaders. The distributed observer dynamics serves as a reference model for each follower to synchronize. The global communication graph information or the leader dynamics is not required to design the observer. In contrast to existing model reference adaptive controllers (MRAC) for single-agent systems and containment control solutions for MASs, the proposed MRAC approach …

Ferrite Assisted Geometry-Conformal Magnetic Induction Antenna And Subsea Communications For Auvs, Debing Wei, Li Yan, Xuanheng Li, Jie Wang, Jiefu Chen, Miao Pan, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

This paper designs a novel geometry-conformal antenna for Magnetic Induction (MI)-based subsea wireless communications for autonomous underwater vehicles (AUV). The designed tri-directional antennas can be wrapped directly on the surface of AUVs, such that the AUVs fluid dynamics are well maintained to ensure power efficiency of the vehicles. In addition, ferrite materials are added between the MI antenna and the metallic body surface of the AUVs to overcome the shielding effect and enhance the MI signal strength. The designed MI communication system is implemented in hardware and the effectiveness of the geometry-conformal MI antenna is demonstrated through COMSOL simulations and …

Machine Learning Based Neural Network Solving Methods For The Fdtd Method, He Ming Yao, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, two novel computational processes are proposed to solve Finite-Difference Time-Domain (FDTD) based on machine learning deep neural networks. The field and boundary conditions are employed to establish recurrent neural network FDTD (RNN-FDTD) model and convolution neural network FDTD (CNN-FDTD) model respectively. Numerical examples from scalar wave equations are provided to benchmark the performance of the proposed methods. The results demonstrate that the newly proposed methods could solve FDTD steps with satisfactory accuracy. According to our knowledge, these are unreported new approaches for machine learning based FDTD solving methods.

Business Process Analytics And Big Data Systems: A Roadmap To Bridge The Gap, Sherif Sakr, Zakaria Maamar, Ahmed Awad, Boualem Benatallah, Wil M.P. Van Der Aalst

All Works

© 2013 IEEE. Business processes represent a cornerstone to the operation of any enterprise. They are the operational means for such organizations to fulfill their goals. Nowadays, enterprises are able to gather massive amounts of event data. These are generated as business processes are executed and stored in transaction logs, databases, e-mail correspondences, free form text on (enterprise) social media, and so on. Taping into these data, enterprises would like to weave data analytic techniques into their decision making capabilities. In recent years, the IT industry has witnessed significant advancements in the domain of Big Data analytics. Unfortunately, the business …

Wildlife As Pets: Reshaping Public Perceptions Through Targeted Communication, Rosanna M. Vail

Human–Wildlife Interactions

No abstract provided.

Subspace Clustering Using Ensembles Of K-Subspaces, John Lipor, David Hong, Yan Shuo Tan, Laura Balzano

Electrical and Computer Engineering Faculty Publications and Presentations

Subspace clustering is the unsupervised grouping of points lying near a union of low-dimensional linear subspaces. Algorithms based directly on geometric properties of such data tend to either provide poor empirical performance, lack theoretical guarantees, or depend heavily on their initialization. We present a novel geometric approach to the subspace clustering problem that leverages ensembles of the K-subspaces (KSS) algorithm via the evidence accumulation clustering framework. Our algorithm, referred to as ensemble K-subspaces (EKSS), forms a co-association matrix whose (i,j)th entry is the number of times points i and j are clustered together by several runs of KSS with random …

Interventions To Increase Safety Event Reporting By Unlicensed Patient Care Technicians, Jeannette Bronsord

DNP Scholarly Projects

Interventions to Increase Safety Event Reporting by Unlicensed Patient Care Technicians

Abstract

Background

Patient safety is an area of focus for healthcare providers, consumers, and regulatory agencies in the United States. To maintain a culture of safety and high reliability within the hospital setting all team members must engage in reporting safety events. Unlicensed patient care technicians (PCTs) are integral members of the care team however the frequency of reporting of safety events by these caregivers is less than other roles.

Purpose

The goal of this project was to increase the frequency of reporting by unlicensed patient care technicians by …

Applying Convolutional Neural Networks For The Source Reconstruction, He Ming Yao, Wei E.I. Sha, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel source reconstruction method (SRM) based on the convolutional neural network algorithm. The conventional SRM method usually requires the scattered field data oversampled compared to that of target object grids. To achieve higher accuracy, the conventional SRM numerical system is highly singular. To overcome these difficulties, we model the equivalent source reconstruction process using the machine learning. The equivalent sources of the target are constructed by a convolutional neural networks (ConvNets). It allows us to employ less scattered field samples or radar cross section (RCS) data. And the ill-conditioned numerical system is effectively avoided. Numerical examples …

Assessing Methanogenic Archaeal Community In Full Scale Anaerobic Sludge Digester Systems In Dubai, United Arab Emirates, Munawwar A. Khan, Poojabahen G. Patel, Arpitha G. Ganesh, Naushad Rais, Sultan M. Faheem, Shams T. Khan

All Works

© 2018 Khan et al. Introduction: Anaerobic digestion for methane production comprises of an exceptionally diverse microbial consortium, a profound understanding about which is still constrained. In this study, the methanogenic archaeal communities in three full-scale anaerobic digesters of a Municipal Wastewater Treatment Plant were analyzed by Fluorescence in situ hybridization and quantitative real-time Polymerase Chain Reaction (qPCR) technique. Methods & Materials: Fluorescence in situ hybridization (FISH) was performed to detect and quantify the methanogenic Archaea in the sludge samples whereas qPCR was carried out to support the FISH analysis. Multiple probes targeting domain archaea, different orders and families of …

Towards Designing Energy Efficient Symmetric Key Protocols, Sai Raghu Talluri

UNF Graduate Theses and Dissertations

Energy consumption by various modern symmetric key encryption protocols (DES,

3-DES, AES and, Blowfish) is studied from an algorithmic perspective. The work

is directed towards redesigning or modifying the underlying algorithms for these

protocols to make them consume less energy than they currently do. This research

takes the approach of reducing energy consumption by parallelizing the

consecutive memory accesses of symmetric key encryption algorithms. To achieve

parallelization, an existing energy complexity model is applied to symmetric key

encryption algorithms. Inspired by the popular DDR3 architecture, the model assumes

that main memory is divided into multiple banks, each of which can …

On The Effectiveness Of An Iot - Fog - Cloud Architecture For A Real-World Application, Nathan Wheeler

UNF Graduate Theses and Dissertations

Fog Computing is an emerging computing paradigm that shifts certain processing closer to the Edge of a network, generally within one network hop, where latency is minimized, and results can be obtained the quickest. However, not a lot of research has been done on the effectiveness of Fog in real-world applications. The aim of this research is to show the effectiveness of the Fog Computing paradigm as the middle layer in a 3-tier architecture between the Internet of Things (IoT) and the Cloud. Two applications were developed: one utilizing Fog in a 3-tier architecture and another application using IoT and …

The Past, Present, And Future Of The U.S. Patent System, Megan M. La Belle

Scholarly Articles

This essay discusses the evolution of the U.S. patent system over the past decade. It explains how various rules established by the U.S. Court of Appeals for the Federal Circuit, the appellate court with exclusive jurisdiction over patent cases, created an environment that heavily favored patent owners and disadvantaged accused infringers. In response, Congress and the courts set out to reform our patent system and implemented a host of changes, most notably the passage of comprehensive legislation known as the America Invents Act (AIA) in 2011. Since the AIA, the patent system in the U.S. has certainly changed. Indeed, some …

“Officers” In The Supreme Court: Lucia V. Sec, Jennifer L. Mascott

Scholarly Articles

This article appeared in the Cato Supreme Court Review addressing the Court's October Term 2017. The article addresses the Court's June 2018 opinion in Lucia v. SEC, which held that administrative law judges in the Securities and Exchange Commission are "Officers of the United States" within the meaning of the Constitution's Appointments Clause. Significant portions of this article are based on my earlier study of the original meaning of the Appointments Clause that the Stanford Law Review published in February 2018, see 73 Stan. L. Rev. 443 (2018).

The Utility Of Social Media For Teaching Information Has Value, Nora Belzowski, Kristi Bugajski

Library Faculty Publications

No abstract provided.

The Indecency And Injustice Of Section 230 Of The Communications Decency Act, Mary Graw Leary

Scholarly Articles

Section 230 of the Communications Decency Act is a 1996 law wholly inadequate to address 21^st Century problems. The most egregious example of this is online sex trafficking, which was allowed not only to exist, but also to thrive due, in large part, to §230. This Article examines the development of the jurisprudence regarding online advertising of sex-trafficking victims and juxtaposes the forces that created § 230 with those preventing its timely amendment. This Article argues that, although § 230 was never intended to create a regime of absolute immunity for defendant websites, a perverse interpretation of the non-sex …

A Bayesian Network Approach To Battery Aging In Electric Vehicle Transportation And Grid Integration, Mehdi Jafari

Dissertations, Master's Theses and Master's Reports

Nowadays, batteries in electric vehicles (EVs) are facing a variety of tasks in their connection to the power grid in addition to the main task, driving. All of these tasks play a very significant role in the battery aging, but they are highly variable due to the change in the driver behavior, grid connection availability and weather conditions. The effect of these external factors in the battery degradation have been studied in literature by mostly deterministic and some stochastic approaches, but limited to specific cases.

In this dissertation, first, a large-scale deterministic approach is implemented to evaluate the effect of …

An Injectable Thermosensitive Biodegradable Hydrogel Embedded With Snap Containing Plla Microparticles For Sustained Nitric Oxide (No) Delivery For Wound Healing, Nikhil Mittal

Dissertations, Master's Theses and Master's Reports

After injury, wound healing is a complex sequential cascade of events essential for the proper recovery of the wound without the scar formation. Nitric oxide (NO) is a small, endogenous free-radical gas with antimicrobial, vasodilating and growth factor stimulating properties. NO has wide biomedical application especially in wound healing however, its usability is hindered due its administration problem as it is highly unstable.

In this work, poly (l-lactic acid) microparticles encapsulated with NO donor S-nitroso-N-acetyl-D-penicillamine (SNAP) were prepared using water-in-oil-water double emulsion solvent evaporation method for controlled delivery for NO at the specific site. The NO release from SNAP-PLLA microparticles …

Oil Spills Detection By Means Of Uas And Inexpensive Airborne Thermal Sensors, Ausama Al Shammari

Dissertations, Master's Theses and Master's Reports

This thesis provides an overview of oil spill scenarios and the remote sensing methods used for detection and mapping the spills. It also discusses the different kinds of thermal sensors used in oil spills detection. As UAS is becoming an important player in the oil and gas industry for the low operating costs involved, this research involved working with a cheap thermal airborne sensor mounted on DJI Phantom 4 system. Data was collected in two scenarios, first scenario is collecting data in Michigan’s Upper Peninsula at a petroleum company location and the second scenario was an indoor experiment simulating an …

Testing Of Recursive And Non-Recursive Algorithms For Real-Time Phasor And Frequency Estimations In Power Systems, Dhruv Sharma

Dissertations, Master's Theses and Master's Reports

Steady-state performance of various recursive and non-recursive algorithms are tested in this report according to the test signals given in the IEEE Standard C37.118.1-2011. Phase magnitude and phase angle of the power grid signals have been estimated using Discrete Fourier Transform (non-recursive), Discrete Fourier Transform (recursive), Least Square, and Wavelet Transform Algorithms. Frequency estimation is performed using Discrete Fourier Transform, Weighted Least Square, and Zero Crossing methods. These algorithms are evaluated in LabView software and tested by generating test signals in a Simulink model. Furthermore, Total Vector Error (TVE) is calculated using dynamic test signals as per the IEEE Standard …