Digital Commons Network^™

Riemann's Development Of The Cauchy-Riemann Equations, Dave Ruch

Complex Variables

No abstract provided.

Sedimentological, Architectural, And Paleoenvironmental Analysis Of The Fluvial Upper Devonian Catskill Formation, North-Central Pennsylvania, Usa, Matylda Zaklicki

Honors Theses

During the Late Devonian time period, sediments eroded from the Acadian mountains were transported westward and deposited in fluvial environments, but the morphology of the rivers, avulsion style, and controls on basin infilling remain unclear. This study assesses the sedimentology, channel geometry, stratigraphic architecture, and avulsion style of the paleochannels and floodplains of the uppermost 80 meters of the Catskill Formation near Blossburg, Pennsylvania, using field-based lithofacies observations, high-resolution panoramic photographs, and terrestrial lidar scanning.

Upper Catskill Formation strata at Blossburg Middle consist of sandy channel and muddy floodplain deposits. Floodplain deposits were categorized into either proximal floodplain deposits or …

Ethics, Privacy And Data Collection: A Complex Intersection, Matthew S. Brown

Honors Theses

The technology around us enables incredible abilities such as high-resolution video calls and the ability to stay connected with everyone we care about through social media. This technology also comes with a hidden cost in the form of data collection.

This work explores what privacy means and how users understand what data social media companies collect and monetize. This thesis also proposes a more ethical business model that addresses privacy concerns from an individual perspective.

Linked-Cluster Expansions For Lattice Spin Models, Yuyi Wan

Honors Theses

Similar to various series expansions that are used to approximate mathematical func- tions, the linked-cluster expansion is an approximation method that allows us to approach the actual values of a very large physical system’s different physical quan- tities by systematically studying smaller systems embedded in this larger system. The main concept in linked-cluster expansion, weight, represents the additional con- tribution to a certain physical quantity by increasing the system size by one unit. These weights are used to eventually build up the result on a larger system. In our case, we focus on the partition function, a quantity that can …

Crystalline Architecture And Stratigraphy Of Coral Skeletal Density Banding: A Geobiological Record Of Changing Coral Reef Ecology, Kyle Fouke

Honors Theses

Coral skeletal density banding (CSDB), composed of alternating high density band (HDB) and low density band (LDB) layers that comprise the CaCO₃ (aragonite) skeleton of scleractinian corals, are used as chronometers for global paleoclimatic reconstructions of sea surface temperature (SST). Scleractinian coral skeletons have been intensively studied for centuries with detail analysis of the macro- and microscale skeletal structure to establish taxonomic and evolutionary relationships of coral species, mechanisms of biomineralization, and seafloor physical, chemical and biological alteration (diagenesis) of the skeleton. This study is the first to determine the crystalline architecture of HDBs and CSDB stratigraphic …

Fluvial Sedimentology And Architecture Of Two Latest Devonian Lower Huntley Mountain Formation Outcrops, North-Central Pennsylvania, Usa, Evan W. Filion

Honors Theses

Thick successions of river deposits accumulated in the north-central Pennsylvania region of the Appalachian foreland basin during Late Devonian time (~380-360 Ma). The properties and morphologies of these paleorivers are not well characterized. Latest Devonian tectonic, climatic, and eustatic controls on river dynamics and basin infilling also remain unclear. This study assesses the sedimentology, facies architecture, paleochannel depths, and grain size of a 133 m thick section of fluvial strata exposed across two outcrops, Blossburg South (older) and Blossburg West (younger), mapped as lower Huntley Mountain Formation near Blossburg, Pennsylvania. Field-based lithofacies observations, high-resolution panoramic photography, terrestrial lidar scanning, and …

A Brief History Of Saint Anne School In Castle Shannon, James K. Hanna

Gathered Fragments

No abstract provided.

Spider's Guide To Sustainable Living, Office For Sustainability

Guides

Thank you for checking out this guide to caring for our future and ourselves. We're glad you did, because we need you. From the climate emergency to emerging health crises to social unrest, the need for change is all around us. The UR Sustainability Plan envisions "a future where sustainability is woven into the fabric of the University" in which we cultivate a culture of caring for people and the natural world. Consider this your invitation to join the movement to make this vision a reality.

Throughout the Spiders Guide to Sustainable Living, we will point out actions you can …

Influence Of Capping Layer On Skyrmion And Domain-Wall Formation In Co/Pt(111), Caner Değer

Turkish Journal of Physics

In order to realize skyrmion-based next-generation logic and memory devices, investigating the impact of materialparametersonskyrmionformationisessential. Cappingmagneticthinlayersforthepurposesofbothpreventing oxidation and/or enhancing crystal structure has an influence on chiral spin texture of the layer. In this paper, we have carried out a systematic computational study on magnetic skyrmion and domain-wall formation in which 2-atomic layer of Co, deposited on Pt(111) substrate and capped by certain (Ta, Ir, and Pt) 5d elements with various thicknesses. We have determined the magnetic topography of the structures by simulations based on DFT-calculated parameters; micromagnetic Dzyaloshinskii-Moriya interaction, exchange interaction, and magnetic anisotropy coefficients. We have revealed the influence …

Dispersion Management For Optical Parametric Amplifiers In Midinfrared, Hüseyi̇n Çankaya

Turkish Journal of Physics

Midinfrared (MIR) is an attractive spectral region for many applications ranging from vibrational spectroscopy to attosecond physics. However, in this spectral region, the dispersion management techniques are not as mature as the ones in the near-infrared (NIR) or visible, which is a key ingredient of ultrafast laser technology. In this manuscript,thetransferofdispersionmanagementschemesforopticalparametric(chirpedpulse)amplifiers(OP(CP)As) from NIR to MIR is discussed. Among those, a scheme based on Martinez-type grating stretcher and a bulk compressor is proposed and numerically analyzed. As a case study, the proposed scheme is applied numerically to a 2-µm pumped two-stageopticalparametricamplifier(OPA)systemat4.06µm. InthemodelOPAsystem,theseedpulsesaregenerated by white-continuum in bulk crystal and then amplified via …

Unequal Liberty And A Right To Education, Helen Hershkoff, Nathan Yaffe

North Carolina Central Law Review

No abstract provided.

Bayesian Kinetic Modeling For Tracer-Based Metabolomic Data, Xu Zhang

Theses and Dissertations--Statistics

Kinetic modeling of the time dependence of metabolite concentrations including the unstable isotope labeled species is an important approach to simulate metabolic pathway dynamics. It is also essential for quantitative metabolic flux analysis using tracer data. However, as the metabolic networks are complex including extensive compartmentation and interconnections, the parameter estimation for enzymes that catalyze individual reactions needed for kinetic modeling is challenging. As the pa- rameter space is large and multi-dimensional while kinetic data are comparatively sparse, the estimation procedure (especially the point estimation methods) often en- counters multiple local maximum such that standard maximum likelihood methods may yield …

Statistical Intervals For Various Distributions Based On Different Inference Methods, Yixuan Zou

Theses and Dissertations--Statistics

Statistical intervals (e.g., confidence, prediction, or tolerance) are widely used to quantify uncertainty, but complex settings can create challenges to obtain such intervals that possess the desired properties. My thesis will address diverse data settings and approaches that are shown empirically to have good performance. We first introduce a focused treatment on using a single-layer bootstrap calibration to improve the coverage probabilities of two-sided parametric tolerance intervals for non-normal distributions. We then turn to zero-inflated data, which are commonly found in, among other areas, pharmaceutical and quality control applications. However, the inference problem often becomes difficult in the presence of …

Moment Kernels For T-Central Subspace, Weihang Ren

Theses and Dissertations--Statistics

The T-central subspace allows one to perform sufficient dimension reduction for any statistical functional of interest. We propose a general estimator using a third moment kernel to estimate the T-central subspace. In particular, in this dissertation we develop sufficient dimension reduction methods for the central mean subspace via the regression mean function and central subspace via Fourier transform, central quantile subspace via quantile estimator and central expectile subsapce via expectile estima- tor. Theoretical results are established and simulation studies show the advantages of our proposed methods.

Measuring Change: Prediction Of Early Onset Sepsis, Aric Schadler

Theses and Dissertations--Statistics

Sepsis occurs in a patient when an infection enters into the blood stream and spreads throughout the body causing a cascading response from the immune system. Sepsis is one of the leading causes of morbidity and mortality in today’s hospitals. This is despite published and accepted guidelines for timely and appropriate interventions for septic patients. The largest barrier to applying these interventions is the early identification of septic patients. Early identification and treatment leads to better outcomes, shorter lengths of stay, and financial savings for healthcare institutions. In order to increase the lead time in recognizing patients trending towards septicemia …

Simultaneous Tolerance Intervals For Response Surface And Mixture Designs Using The Adjusted Product Set Method, Aisaku Nakamura

Theses and Dissertations--Statistics

Various methods for constructing simultaneous tolerance intervals for regression models have been developed over the years, but all of them can be shown to be conservative. In this thesis, extensive simulations are conducted to evaluate the degree of conservatism with respect to their coverage probabilities. A new strategy to fit simultaneous tolerance intervals on linear models is proposed by modifying an existing method, which we call the adjusted product set (APS) method. The APS method will also be used to construct simultaneous tolerance bands on response surface and mixture designs.

Fir: A Close Up Look At Butler University’S Faculty-In-Residence Program, Sarah Braunstein

Undergraduate Honors Thesis Collection

This study examined the variety of perspectives of having a Faculty in Residence (FIR) program on campus. The research questions framing the study were as follows: (1) What effects does the FIR program have on faculty and their families? (2) How does having a FIR program on campus affect the dynamic of residence life? (3) In what ways does having a FIR program impact student experience? The study involved interviews with a variety of on-campus personnel including the Vice President of Student Affairs, Dr. Frank Ross III, University President James Danko, three resident assistants, and one FIR family. Additionally, this …

Using Preschool To Close The Socioeconomic Math Achievement Gap, Sydney King

Senior Honors Theses

Socioeconomic status (SES) heavily influences students’ academic performance, creating an achievement gap in core subjects like reading and mathematics. This thesis will describe the socioeconomic achievement gap as it relates to mathematics specifically, discuss the problem’s causes, and propose how preschool programs should be implemented more prevalently as a solution to close the gap. Children with low socioeconomic statuses enter school with lower math proficiency due to their limited math exposure in their early years and the quality of their home learning environments. This thesis will propose an expansion of preschool programs as a solution to this problem to help …

Joint Modeling Of Rayleigh Wave Dispersion And H/V Spectral Ratio Using Pareto-Basedmultiobjective Particle Swarm Optimization, Ersi̇n Büyük, Ekrem Zor, Abdullah Karaman

Turkish Journal of Earth Sciences

Estimating the shear wave velocity and thickness of geologic units in a sedimentary structure is important for quantifying the local site effect caused by an earthquake. Inversion of the Rayleigh wave dispersion alone is sensitive to the absolute average shear wave velocity, while the H/V spectral ratio is sensitive to velocity contrasts. The solution of these models in a joint system using conventional inversion techniques suffers from difficulties while evaluating partial derivatives, dependencies to the initial model that is sometimes difficult to estimate, and trapping at a local minimum. Herein, a joint model using the Pareto optimality technique with multiobjective …

2019-2020 Lynn University Common Data Set, Lynn University

Lynn University Common Data Set

2019-2020 Lynn University Common Data Set (CDS), prepared by Lynn University Office of Institutional Research, Planning and Assessment (AY2020)

Defending Data: Toward Ethical Protections And Comprehensive Data Governance, Elizabeth R. Pike

Emory Law Journal

The click of a mouse. The tap of a phone screen. Credit card purchases. Walking through an airport. Driving across a bridge. Our activities, both online and offline, are increasingly monitored, converted into data, and tracked. These troves of data—collected by entities invisible to us, stored in disparate databases—are then aggregated, disseminated, and analyzed. Data analytics—algorithms, machine learning, artificial intelligence—reveal “truths” about us; weaponize our data to influence what we buy or how we vote; and make decisions about everything from the mundane—which restaurant a search engine should recommend—to the significant—who should be hired, offered credit, granted parole. This Article …

Evaluation Of The Relationship Between Land Use And Water Quality In Kittitas County, Wa, Lindsay Schulz

All Master's Theses

Water in Kittitas County is extremely valuable since it supports farming, recreation, and cultural activities, as well as environmental processes and a diversity of biological life while providing many ecosystem services. However, land conversions required by agricultural and urban land uses can negatively impact water quality and the biological function of the stream. I studied how forested, agricultural, and urban land use affect six streams. Fourteen sites were sampled, once each in July, August, and September 2019. Land use was calculated as a percentage of forested, agricultural, and urban land use within a 100-m buffer of the stream, upstream of …

Glaciernet: A Deep-Learning Approach For Debris-Covered Glacier Mapping, Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Brennan W. Young, Michael P. Bishop, Jeffrey S. Kargel

Electrical and Computer Engineering Faculty Publications

Rising global temperatures over the past decades is directly affecting glacier dynamics. To understand glacier fluctuations and document regional glacier-state trends, glacier-boundary detection is necessary. Debris-covered glacier (DCG) mapping, however, is notoriously difficult using conventional geospatial technology methods. Therefore, in this research for automated DCG mapping, we evaluate the utility of a convolutional neural network (CNN), which is a deep learning feed-forward neural network. The CNN inputs include Landsat satellite images, an Advanced Land Observation Satellite (ALOS) digital elevation model (DEM) and DEM-derived land-surface parameters. Our CNN based deep-learning approach named GlacierNet was designed by appropriately choosing the type, number …

Mitosisnet: End-To-End Mitotic Cell Detection By Multi-Task Learning, Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, Tj Bowen, Vijayan K. Asari

Electrical and Computer Engineering Faculty Publications

Mitotic cell detection is one of the challenging problems in the field of computational pathology. Currently, mitotic cell detection and counting are one of the strongest prognostic markers for breast cancer diagnosis. The clinical visual inspection on histology slides is tedious, error prone, and time consuming for the pathologist. Thus, automatic mitotic cell detection approaches are highly demanded in clinical practice. In this paper, we propose an end-to-end multi-task learning system for mitosis detection from pathological images which is named"MitosisNet". MitosisNet consist of segmentation, detection, and classification models where the segmentation, and detection models are used for mitosis reference region …

Ai-Generated Fashion Designs: Who Or What Owns The Goods?, Caen A. Dennis

Fordham Intellectual Property, Media and Entertainment Law Journal

As artificial intelligence (“AI”) becomes an increasingly prevalent tool in a plethora of industries in today’s society, analyzing the potential legal implications attached to AI-generated works is becoming more popular. One of the industries impacted by AI is fashion. AI tools and devices are currently being used in the fashion industry to create fashion models, fabric designs, and clothing. An AI device’s ability to generate fashion designs raises the question of who will own the copyrights of the fashion designs. Will it be the fashion designer who hires or contracts with the AI device programmer? Will it be the programmer? …

Optimizing Ocean Import Minimum Quantity Commitment (Mqc) Fulfillment For North American Ports Of Discharge, Stephen D. Giarrusso

Master’s Theses - College of Engineering

"The objective of this thesis is to develop a mathematical model to minimize shipping costs within an international ocean supply chain while meeting Minimum Quantity Commitment (MQC) contracts and other constraints. This will be done by providing initial commitment allocations for the start of a contract year. Allocations are split amongst carrier in a shipping lane, and each carrier may be allocated 0 or n percent of the cargo to be carried along that shipping lane throughout the year. The model will be developed to accept certain factors and qualitative inputs that will influence the result and should aim to …

Analysis Of Flow Generated By Piezoelectric Actuator Driven Oscillating Beams, Ganesh Sharma

Master’s Theses - College of Engineering

"Piezoelectric fans are considered a more efficient solution for thermal management purposes with the recent development of small and compact electronics. Traditional axial fans are difficult to scale down and much less efficient when downsized. Particle Image Velocimetry (PIV) analysis is utilized in this thesis to investigate vortex for- mation around the trailing edge of a vibrating piezoelectric fan driven at varying power input range from 30V to 120V . The interference between pair of counter-rotating vortices and their impacts on velocity magnitude is also investigated. Vortex formation and detachment is found to occur at an accelerated rate with an …

2020-2021 Undergraduate Bulletin, Rochester Institute Of Technology

RIT Digital Archives

No abstract provided.

2020-2021 Graduate Bulletin, Rochester Institute Of Technology

RIT Digital Archives

No abstract provided.

It's A Small World After All: Exploring Mobile Dating Application Use And Sexual Partner Networks Among Black Men Who Have Sex With Men (Bmsm), Donovan Williams

Electronic Theses and Dissertations, 2020-2023

Research supports risky sexual behaviors are especially pervasive traits in high risk groups such as gay and bisexual men; and despite representing a mere 12% of the total LGBTQ population, Black men who have sex with men (BMSM) are at highest risk for transmitting and contracting HIV and other non-HIV sexually transmitted diseases. Even knowing this, the disparity of research coverage of BMSM compared to White MSM is staggering. Recent research has indicated MSM are at even greater risk than before since the advent of mobile dating apps. Online partnering via mobile apps has been linked to overlapping sexual partner …