Digital Commons Network^™

Tales Out Of School: Delineating Student Speech Protections For The Digital Age, Jason Zenor

The University of New Hampshire Law Review

The way students communicate has also changed greatly over the last generation, but in the first two decades of 21st Century, the U.S. Supreme Court had yet to answers questions about the extent of power for school administrators to control off-campus speech on digital technologies. Then in the case of Mahanoy Area School District v. B.L (2021) the U.S. Supreme Court finally answered this question by holding that administrators do have the ability to control off-campus speech. The Court did give some specific scenarios in which administrators had power to regulate off-campus, but it did not give a bright-line rule. …

University Of Dayton Magazine, Winter 2023-24, University Of Dayton

University of Dayton Alumni Publications

The University of Dayton Magazine is published quarterly by the Office of University Marketing and Communications for alumni, parents, students, faculty/staff, trustees and other friends of UD.

Six Frames, Four Moves, One Habit: Finding Acrl’S Framework Within Sift, Allison I. Faix, Amy F. Fyn

Library Faculty Publications

The SIFT method of source evaluation, proposed in 2017 by educational technologist Mike Caulfield, was designed as a “practical approach to quick source and claim investigation.” At this time, academic librarians (including us) had already been questioning the effectiveness of popular source evaluation methods, especially checklist-based ones. Checklists seem too cursory and lack the flexibility and nuance needed to fully address the complex nature of internet sources. The number of librarian-proposed updates to checklist methods of source evaluation has accelerated in recent years, while SIFT has also emerged as a popular evaluation method with librarians. Because of SIFT’s popularity, and …

Enhancing The Classification Of Autism Spectrum Disorder From Rs-Fmri Functional Connectivity Data Using Temporal Information, Mihir Yashwant Ingole

Computer Science and Engineering Theses - Archive

Autism Spectrum Disorder (ASD) affects the patient’s cognitive development which leads to difficulties in social functioning, daily tasks, and independent living. This necessitates intervention at an early age to take preventive measures and provide vital care. Manual diagnosis methods like Autism Diagnostic Observation Schedule (ADOS) assessment adopts symptom-based criteria which typically manifest at a later age. To automate this process, correlations computed from BOLD (Blood Oxygen-level dependent) signals obtained through resting state functional magnetic resonance imaging (rs-fMRI) data of patients across sparse brain regions has been used recently as a measure of functional connectivity. The goal of this study is …

Hemln-Sd: Substructure Discovery In Heterogeneous Multilayer Networks, Kiran Bolaj

Computer Science and Engineering Theses - Archive

Graph mining analyzes the real-world graphs for finding core substructures in chemical compounds (e.g., Benzene), identify the structure that occurs frequently in a given graph or forest. These identified structures are important as they reveal an inherent feature or property in the given graph or forest. Substructures represent interesting and repeating patterns found within an application, offering insights into hidden regularities. Therefore, the process of finding these interesting and frequent patterns in an unsupervised manner is known as substructure discovery. SUBDUE was the first main-memory algorithm developed for substructure discovery. Since then, for scalability, the algorithm has been extended to …

Homln-Sd: Substructure Discovery In Homogeneous Multilayer Networks, Arshdeep Singh

Computer Science and Engineering Theses - Archive

Substructure discovery is a process in data analysis and data mining that involves identifying and extracting meaningful patterns, structures, or components within a larger dataset. These substructures can be of various types, such as frequent patterns, motifs, or any other relevant features within the data. The growth of the internet and the proliferation of mobile devices have led to the generation of enormous amounts of data. Companies like Facebook and Twitter can generate large datasets from user interactions on their websites, such as connections between users and user generated content. Moreover, advances in processing power and storage capacity have made …

Feasibility Study Of Off-The-Shelf Components On A Split-Cycle Motor And Esc Testbed, Hayden C. Lotspeich

Computer Science and Engineering Theses - Archive

This project aims to create a testbed for split-cycle flapping wing systems that allows for testing of different motors and ESC protocols to find a suitable set for a flapping wing system. In order for a flapping-wing drone to be able to maneuver, it has to be able to flap its wings at different speeds when flapping forward and flapping backwards. The arching back-and-forth motion is what the output wing would be connected to, so this system is used to calculate the maximum split-cycle time ratio that can be achieved when set up with different motors and ESC protocols.

Design Of Single Precision Floating Point Unit (32-Bit Numbers) According To Ieee 754 Standard Using Verilog, And Creation Of An Education Model For Advanced Digital Logic And Design Courses, Kartikey Sharan

Computer Science and Engineering Theses - Archive

In today’s day and age of arithmetic, Floating Point Arithmetic is by far the most industry sanctioned way of approximating real number arithmetic for making numerical calculations on all computers used by industries on an everyday basis. In the year 1985, IEEE 754 standard was established that defined a single universal standard for all different arithmetic formats [1]. Before this, for a long period each computer had a different arithmetic format and size for bases, significand, and exponents. This format allowed industries all around the world to compute floating point arithmetic in a universal way and facilitated open communication between …

Learning And Control For Complex Multiagent Systems, Vrushabh S. Donge

Electrical Engineering Dissertations - Archive

Complex multiagent systems (MASs) are pervasive in various fields, from power system networks, and autonomous robotics to traffic management, where groups of agents interact to achieve collective objectives. Effective coordination and control of such systems pose significant challenges due to their inherent complexity and the need for adaptive, efficient strategies. This dissertation explores combining data-driven approaches, reinforcement learning (RL), and control theory to address these challenges. We present novel methodologies for learning and controlling complex MASs, emphasizing the development of adaptive algorithms that can autonomously adapt to dynamic environments, collaborate with other agents, and optimize system-wide performance. Our findings offer …

Enhancing Biomedical Imaging With Ai: Compression, Prediction, And Multi-Modal Integration For Clinical Advancement, Mohammad Sadegh Nasr

Computer Science and Engineering Dissertations - Archive

This dissertation delves into the enhancement of biomedical image analysis through the deployment of artificial intelligence methodologies, focusing on the transition from theoretical innovation to practical clinical utility. Spanning four cornerstone projects, the work encapsulates the development of predictive models for spatial transcriptomics, efficient image compression for cancer pathology slides, and critical evaluations of histopathology slide search engines. The first project employs Random Forest Regression and spatial point processes to forecast cell distribution patterns, thereby offering a novel perspective on gene expression in embryogenesis at a single-molecule resolution. The second venture introduces a Variational Autoencoder (VAE) that sets a new …

Design And Demonstration Of An Inertial-Stabilized Single-Axis Headlamp For Mobile Systems, Thomas Avery Allsup

Mechanical and Aerospace Engineering Dissertations - Archive

The introduction of adaptive headlamps has added left and right movement of the headlamps to enhance the vision of the driver during a turn at night. Adaptive headlamps also allow up and down motion of headlamps in either two discrete positions with low and high beams based on vehicle speed and oncoming traffic lights or using the vehicle suspension measurement to adjust headlamp beam angles in any angle between low and high. Using the vehicle suspension ignores the roadway influence on where the headlamps should be positioned to illuminate the roadway for the driver. This dissertation develops governing equations and …

Optimizing Energy Efficiency And Performance In High-Performance Computing Through Advanced Direct-To-Chip Liquid Cooling And Labview-Based Monitoring And Analysis, Chandraprakash Ashok Hinge

Mechanical and Aerospace Engineering Dissertations - Archive

This research endeavors to significantly enhance energy efficiency and performance in the realm of high-performance computing (HPC). This goal is pursued through a synergistic approach that leverages advanced direct-to-chip liquid cooling systems and integrates LabVIEW for real-time monitoring and analysis within data centers. The primary aims of this study are manifold. First, it seeks to evaluate the effectiveness of different single-phase liquid coolants when employed in direct-to-chip cold plate cooling for HPC systems. Additionally, the research focuses on characterizing row manifolds, crucial elements in the design of efficient data centers. The study also endeavors to devise a strategic control mechanism …

Multiple Dipole Source Position And Orientation Estimation Using Non-Invasive Eeg-Like Signals, Saina Namazifard

Mechanical and Aerospace Engineering Dissertations - Archive

The human brain comprises of neurons that connect with each other via electrical signals. One can record and measure these activities using an electroencephalogram (EEG). An essential use of the EEG is in locating the generating source of these signals, usually approximated by dipoles. This is important because, in some particular circumstances, neurons may not function optimally and could make the equivalent dipole generate abnormal signals. This could be a result of seizures or other brain disorders. In order to isolate such disorders, the challenge is to find a non-invasive way to locate the anomalous source. This research aims to …

Lung Cancer Growth Forecasting And Classification Models By Machine Learning Using A Novel 2d Co-Culture High Throughput Device, Adam Adrien Germain

Bioengineering Dissertations - Archive

Co-culture devices have commonly been used during in vitro experimentation to create therapeutic testing devices for lung cancer that more closely mimic the in vivo environment to gain better insights into new therapies and the reasons for inconsistency for current therapies. Moreover, AI (artificial intelligence) in the form of convolutional neural networks (CNN) and convolutional long-short term memory neural networks (convLSTM) are being used to classify, diagnose, and predict drug outcomes from the visual data provided by clinical imaging modalities, such as CT-scans, MRIs, or histopathological slides among others, or from numerical and textual data gathered from the genetic testing …

Development Of Multiscale And Multidimensional Light Sheet Microscopy For Image-Based Modelling Of Organogenesis, Tanveer Ashwini Ashwini Teranikar

Bioengineering Dissertations - Archive

Behavioral analysis of individual cells, in the form of structural phenotypes arising in response to mechanical stimuli or genomic alterations as small molecule intermediates of disease, are instrumental for understanding organogenesis. In this regard, dynamic cell tracking or temporal changes in cell shape, area and size are vital for modelling tissue interactions. However, optical diffraction limits imposed by lenses, hinders high resolution volume reconstruction of microscale biological processes and subcellular organelles. Thereby, isotropic intensity is restricted to limited focal volumes, reducing imaging distance to less than 1 mm for high magnification. To combat this, Light Sheet Microscopes (LSM) have emerged …

Evaluation Of Vertical And Lateral Load Capacity Of Recycled Plastic Pin, Sehneela Sara Aurpa

Civil Engineering Dissertations - Archive

RPPs have been in use as a sustainable and effective technique to stabilize and reinforce weak ground for geotechnical purposes. Application of RPP in stabilization of slopes and improvement of load carrying capacity of foundation soil has yielded tremendous results. However, to facilitate the seamless integration of RPPs in design of foundation requires the load carrying capacity of RPP to be known. As RPP has been in use for both its vertical and lateral load carrying capacity, exploration of the load capacity of this material is essential. The objective of the study is to determine the load carrying capacity of …

Experimental And Numerical Analyses Of Coupled Thermo-Hydro-Mechanical Behavior In Unsaturated Soil Under One-Dimensional Heat Transfer, Nice Kaneza

Civil Engineering Dissertations - Archive

Comprehension of the behavior of unsaturated soil in response to thermal gradients, moisture gradients, and deformation is important in geotechnics. Thermal gradients control fluid density and viscosity and moisture gradients alter thermal properties of unsaturated soil. Similarly, thermal gradients affect the thermal strain of unsaturated soil and changes in porosity influence hydraulic properties of the soil. Thus, thermal, hydraulic, and mechanical properties of unsaturated soil interact with and influence each other; the combination of these interactions form a mechanism called coupled thermo-hydro-mechanical (THM) processes. Although the study of the behavior of coupled THM processes is essential in predicting the performance …

Determinants Of Delayed Emergency Caesarian Sections In Machakos County Referral Hospital, Kenya: A Retrospective Study, Anne Loko Mutiso

MSc in Advanced Practice Midwifery

Background: Labour to delivery is a natural process which begins and ends spontaneously. However, the need for an emergency caesarean section arises if the life of the mother or the foetus or both are in danger. Time is of essence and therefore a Decision to Delivery Interval of 30 minutes is considered the gold standard (NICE 2021).

Purpose: The purpose of this study was to establish hospital and client related factors that cause delay in emergency caesarean sections in Machakos County Referral Hospital.

Methodology: A Retrospective Descriptive study design was adopted whereby sample of 368 files of …

Determinants Of Poor Perinatal Outcomes Among Babies Born Of Mothers With Preeclampsia At Mama Lucky Kibaki Hospital, Nairobi County, Sarah Wambui Chege

MSc in Advanced Practice Midwifery

Background: Preeclampsia is a life-threatening pregnancy illness characterised by the onset of hypertension in a non-hypertensive woman after 20 weeks of pregnancy. Studies have connected preeclampsia to significant adverse effects on the mother and the newborn, a common obstetric emergency in Kenya. Determinants of poor perinatal outcomes in babies born to preeclamptic mothers have not been intensively investigated.

Objective: The study evaluated the determinants of perinatal outcomes among neonates born to mothers diagnosed with preeclampsia at Mama Lucy Kibaki Hospital between July 2021 and June 2022.

Methodology: A quantitative retrospective cross-sectional inquiry was conducted. Data reviewed comprised …

A 30-Year Dataset Of Co2 In Flowing Freshwaters In The United States, Timothy R. Toavs, Caleb T. Hasler, Cory D. Suski, Stephen R. Midway

Faculty Publications

Increasing atmospheric carbon dioxide (CO2) concentrations have been linked to effects in a wide range of ecosystems and organisms, with negative effects of elevated CO2 documented for marine organisms. Less is known about the dynamics of CO2 in freshwaters, but the potential exists for freshwater organisms to be challenged by elevated CO2. In flowing freshwaters CO2 exhibits more variability than in lakes or the ocean, yet spatiotemporally extensive direct measures of CO2 in freshwater are rare. However, CO2 can be estimated from pH, temperature, and alkalinity—commonly collected water quality metrics. We used data from the National Water Quality Monitoring Council …

Creelcat, A Catalog Of United States Inland Creel And Angler Survey Data, Nicholas A. Sievert, Abigail J. Lynch, Holly S. Embke, Ashley Robertson, Mitchel Lang, Anna L. Kaz, Matthew D. Robertson, Stephen R. Midway, Lyndsie Wszola, Craig P. Paukert

Faculty Publications

The United States Inland Creel and Angler Survey Catalog (CreelCat) contains a national compilation of angler and creel survey data collected by natural resource management agencies across the United States (including Washington, D.C. and Puerto Rico). These surveys are used to help inform the management of recreational fisheries, by collecting information about anglers including what they are catching and harvesting, the amount of effort they expend, their angling preferences, and demographic information. As of May 1, 2023, CreelCat houses over 14,729 surveys from 33 states, Puerto Rico, and Washington, D.C., comprising 235 data fields across 8 tables. These tables contain …

“Cancel Culture” And Criminal Justice, Steven Arrigg Koh

UC Law Journal

This Article explores the relationship between two normative systems in modern society: “cancel culture” and criminal justice. It argues that cancel culture—a ubiquitous phenomenon in contemporary life—may rectify deficiencies of over- and under-enforcement in the U.S. criminal justice system. However, the downsides of cancel culture’s structure—imprecise factfinding, potentially disproportionate sanctions leading to collateral consequences, a “thin” conception of the wrongdoer as beyond rehabilitation, and a broader cultural anxiety that “chills” certain human conduct—reflect problematic U.S. punitive impulses that characterize our era of mass incarceration. This Article thus argues that social media reform proposals obscure a deeper necessity: transcendence of blame …

Perturbation Based Decomposition For Motor Unit Number Estimation, Anna T. Pham

Master's Theses

Motor unit number estimation (MUNE) is of clinical significance because information associated with motor unit populations and the loss of motor units over time are crucial to the diagnosis and monitoring of neuromuscular disorders. The responses of individual motor units can be extracted through incremental stimulation of a muscle group of interest and further analyzed through various methods to compute the MUNE. In this work, the utility of the perturbation-based decomposition by Szlavik will be investigated for this application and compared to the original MUNE approach developed by McComas. Successful decomposition may suggest an alternative method for motor unit number …

Pastoral Liturgy 54 (1)

Pastoral Liturgy

No abstract provided.

Conference Report: Mystery & Mission – The Art Of Liturgical Celebration, Angela Mccarthy

Pastoral Liturgy

No abstract provided.

Imagination In An Age Of Crisis: Soundings From The Arts And Theology, Angela Mccarthy

Pastoral Liturgy

No abstract provided.

Developing Community-Engaged Learning In Chemistry To Address Food Insecurity And Nutrition With University Farms And Gardens, Douglas B. Collins, Mark Spiro

Faculty Contributions to Books

Adding context to educational environments has shown benefits in a variety of cases, but it can be difficult to generate relatable and relevant real-world materials with which students can engage meaningfully. Community engaged learning (CEL) is a high impact educational practice that delivers place-based context to course content through a partnership with community organizations. It has been demonstrated in the literature that CEL leads to improved academic outcomes for students, and there has been increasing interest in having CEL appear throughout the curriculum (across levels and disciplines). Introducing community engagement can be challenging for courses that traditionally have significant amounts …

Issue 38.1 Full Issue

Journal of Rural Social Sciences

No abstract provided.

Communication Through Social Media Strategy In College Athletics, Ashley Sutton

Undergraduate Honors Theses

Social media are providing a way for college athletic departments to specifically construct and have control over their communication messages via direct communication with their audiences. New ways of dealing with responsibilities such as recruiting new student-athletes, creating brand image, and developing internal athletic departments with creative resources, have emerged with the evolution of social media and collegiate sport communication. This project investigates the ways in which collegiate athletic communication departments are developing and executing their social media strategy. To collect information about social media strategies across colleges, I interviewed communication strategy staff at multiple NCAA Division I institutions of …

Stereochemical Engineering Yields A Multifunctional Peptide Macrocycle Inhibitor Of Akt2 By Fine-Tuning Macrocycle-Cell Membrane Interactions, Arundhati Nag, Amirhossein Mafi, Samir Das, Mary Beth Yu, Belen Alvarez-Villalonga, Soo-Kyung Kim, Yapeng Su, William A. Goddard, James R. Heath

Chemistry

Macrocycle peptides are promising constructs for imaging and inhibiting extracellular, and cell membrane proteins, but their use for targeting intracellular proteins is typically limited by poor cell penetration. We report the development of a cell-penetrant high-affinity peptide ligand targeted to the phosphorylated Ser474 epitope of the (active) Akt2 kinase. This peptide can function as an allosteric inhibitor, an immunoprecipitation reagent, and a live cell immunohistochemical staining reagent. Two cell penetrant stereoisomers were prepared and shown to exhibit similar target binding affinities and hydrophobic character but 2-3-fold different rates of cell penetration. Experimental and computational studies resolved that the ligands’ difference …