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Ciccolella, Peg Oral History Interview, Margaret E. Ciccolella, Gene Pearson

Emeriti Society Oral History Collection

Peg Ciccolella (1985-2024) Professor of Health and Exercise Science.

Health and Exercise Science program development and change, Pacific Legal Scholars program development, chairing of and involvement in Pacific committees, chairing of health and exercise science department, the law and application to health sciences, research and publishing at Pacific, WASC accreditation, change and application of Title IX.

Functionalizing Polyethersulfone Membranes: Using Nmr To Avoid Pitfalls When Using Uv-Induced Polymerization To 'Graft From' Surfaces, Priyanka Suresh, Megan M. Sibley, Amy C. Che, Christine E. Duval

Faculty Scholarship

For nearly 30 years, UV-induced free radical polymerization has been used to modify the surface chemistry of polyethersulfone (PES) membranes, films, and coatings. The initial mechanism for the grafting process was introduced in the 1990s and supported without direct evidence of covalent bond formation. Since then, claims of ‘grafting from’ membranes in the literature rely on similar evidence using a combination of gravimetry, attenuated total reflectance infrared spectroscopy, contact angle goniometry, water sorption, and/or water permeance. While these techniques provide evidence of the presence of a polymer coating, they do not provide direct evidence of covalent bond formation between the …

Robert Cason V. Middlesex County Prosecutors Office

2025 Decisions

USDC for the District of New Jersey

Experimentally Driven Numerical Model Of Carbon/Polyaniline-Based Glucose Monitoring Sensors: An Evaluation Using A New Figure Of Merit, Kyrillos Selim, Ziad Khalifa, Amira Ali, Sameh O. Abdellatif

Electrical Engineering

This study presents an experimentally driven numerical model for evaluating carbon/polyaniline (PANI)-based glucose monitoring sensors (GMSs), focusing on innovative configurations using graphene-PANI and carbon nanotube (CNT)-PANI composites. We performed a thorough analysis of the morphological, electrophysical, and electrical properties of these materials, ultimately leading to the extraction of key electrical parameters for integration into a finite element model (FEM). This model simulates the entire sensor, enabling the estimation of critical performance metrics such as sensitivity, limit of detection (LOD), linearity, and power consumption. Our findings demonstrate that the CNT-PANI configuration significantly outperforms the laser-induced graphene (LIG)-PANI electrode, achieving a figure …

Diagnostic Accuracy Of Nonword Repetition Tasks For Dual Language Learners And Monolingual Students, Elizabeth Hunt

Theses and Dissertations

Assessments for diagnosing language disorders (LD) can be biased for dual language learners (DLLs). Nonword repetition (NWR) tasks show potential as a less-biased language assessment measure for DLLs. This study explored the diagnostic accuracy of NWR tasks for diagnosing LD. There were 291 participants included in this study in first through fifth grades. Thirty-nine of the participants had LD and 86 of the participants were DLLs. Sixteen of the participants were DLLs and had LD. Monolingual participants were administered an English NWR task, and DLLs were administered both English and Spanish NWR tasks. These tasks were scored by percent phonemes …

"This Revolution Been Televised": Media As A Tool Of Justice And An Apparatus Of State Violence, Nahal Rastegarpour

Dissertations and Theses

This study utilizes case information from an online database called Fatal Encounters, which has over 30,000 incident reports of civilian deaths involving a police officer. From this larger population, a sample of 415 cases is used to run an additional mixed method research design, which integrates quantitative data analysis and qualitative content analyses. The quantitative analysis sample includes all 415 cases, and the qualitative content analysis uses a subsample of 34 cases. Using demographic data provided by Fatal Encounters, this study expands case information to create new data sets. Both quantitative and qualitative data are collected, developed, and then analyzed. …

Enhancing Consumer Trust In Displayed Information Through Digital Price Tags In Retail Marketing, Mark Yi-Cheon Yim, Sukki Yoon

Marketing Department Faculty Journal Articles

Although digital price tags have been widely adopted in many brick-and-mortar retailers, our understanding of their optimal use remains limited. Considering their ability to easily update prices and promotional messages remotely, concerns have emerged regarding consumer trust in the displayed information. This study examines the role of digital price tags in retail marketing, with a particular focus on their effectiveness in building consumer trust in displayed information. To explore this, three online experiments are conducted to investigate strategies for enhancing consumer trust in the use of digital price tags. Studies 1a and 1 b provide evidence that digital price tags …

Brandy Cuff V. Commonwealth Of Pennsylvania

2025 Decisions

USDC for the Middle District of Pennsylvania

Factors Impacting The Variability Of Post-Fire Forest Regeneration In Central European Pine Plantations, Florent Jouy, Maren Schüle, Yojana Adhikari, Anja Binder, Danica Clerc, Werner Gerwin, Thilo Heinken, Thomas Raab, Frank Repmann, Susanne Rönnefarth, Marina Schirrmacher, Marie-Therese Schmehl, Jens Schröder, Pierre L. Ibisch

Aspen Bibliography

Fire is increasingly posing a risk to forests and plantations, even in the temperate latitudes of central Europe. Little is known about fire ecology in this region, and therefore, appropriate approaches for the management and reforestation of burned sites are mostly lacking. In a Scots pine plantation region in Brandenburg (northeast Germany), the early tree regeneration of two nearby areas that burned 1 year apart was investigated. We observed that 3 years after the fire events, the forest in one study area showed a relatively high regeneration with a mean density of 7765 saplings/ha, clearly dominated by European aspen (93%); …

Unforeseen Implications Of Assisted Reproductive Technology Post-Dobbs, Isabele M. Castle

University of Dayton Law Review

No abstract provided.

Measuring And Improving The Efficiency Of Python Code Generated By Llms Using Cot Prompting And Fine-Tuning, Ramya Jonnala

Masters Theses (Archived)

With the advanced AI technologies, the role of Large Language Models (LLMs) has grown rapidly for software development with generating the code that is functionally correct, solving complex problems, and debugging existing code. However, LLMs often produce inefficient code with unnecessary logic, hallucinated content, and errors. This research measures the efficiency of Python code generated by GPT-4o-Mini, GPT-3.5-Turbo, and GPT-4-Turbo models using execution time, memory usage, and maximum memory usage while maintaining correctness. Using EffiBench datasets on Google’s Vertex AI Workbench with different machine configurations, the study uses the seed parameter for consistency and optimization techniques like Chain-of-Thought (CoT) prompting …

Evaluation Of Knowledge, Attitudes And Vaccine Hesitancy Towards Mmr Vaccine Among Parents In The United Arab Emirates, Kamel A. Samara, Hiba Jawdat Barqawi, Deema M. Alhayali, Samah Mohamed Kannas, Rim M. Elmorsy, Eman Abu-Gharbieh

Abington Jefferson Health Papers

BACKGROUND: The Measles, Mumps, and Rubella (MMR) vaccine is highly effective, but vaccine hesitancy (VH) is a key barrier to achieving herd immunity. This study aims to assess the general attitudes and knowledge of UAE parents regarding measles and the MMR vaccine while identifying determinants of VH.

METHODOLOGY: A cross-sectional study was done from 15th April 2024 and 5th June 2024. This study recruited 462 parents residing in the UAE using convenience sampling. Recruitment occurred through various social media platforms including WhatsApp, X, and Instagram, as well as in public by approaching parents in parks and malls. Information collected included …

Predicting Patient No-Show Rate In Healthcare To Improve Operational Excellence, Saeed Ahmed Al Wari

Theses

The challenge of integrating no-show predictive models into healthcare environments is complex and multifaceted, extending far beyond the distinct technical challenge of building accurate models. This thesis will discuss more on the subject of incorporating machine learning into healthcare. While algorithmic accuracy and model validation are critical, they are a mere sub-system of a much larger operational, technological, ethical, legal and human ecosystem. Predictive models face mass deployment in healthcare systems which are complex networks of stakeholders across strict regulatory frameworks and deeply embedded workflows (AlMuhaideb et al., 2019). However, for these models to result in long term and real …

Hybrid Sentiment Analysis Of Police Social Media: Managing Big Data Impact On Youth, Alunood Yousuf Alamiri

Theses

The pervasive influence of social media has reshaped public communication, particularly for institutions like law enforcement agencies that rely on these platforms to engage with the community. As police departments increasingly utilize social media to disseminate information, interact with the public, and manage public relations, the need for effective sentiment analysis becomes crucial. Understanding how police messages are received by the public, especially by the youth, who are among the most active and impressionable users of social media, is essential for maintaining public trust and ensuring effective communication. This thesis, seeks to develop a comprehensive solution for this challenge. The …

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

All Faculty Open Access Publications

Volatility forecasting for financial institutions plays a pivotal role across a wide range of domains, such as risk management, option pricing, and market making. For instance, banks can incorporate volatility forecasts into stress testing frameworks to ensure they are holding sufficient capital during extreme market conditions. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works show promising advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive assessment of current statistical and learning-based methods is lacking. Thus, this paper aims to …

Ruzieva V. Ldrisov

All Decisions

In this holdover proceeding, the tenant's oral motion to dismiss was granted due to the landlord's failure to properly complete service. The court found prejudice to the tenant as the affidavit of service was filed ten months after commencement, making service incomplete under RPAPL § 735(2)(b). Furthermore, the landlord failed to comply with RPAPL § 733(1) regarding the timeframe for service completion relative to the hearing date. Citing First and Second Department appellate authority, the court applied a strict compliance standard for service requirements, dismissing the petition without prejudice due to these jurisdictional defects.

Philosophy Of Natural Sciences (Phil 225) Syllabus, Ryan J. O'Loughlin

Open Educational Resources

This course explores the philosophy of science via a consideration of Indigenous ways of knowing. We begin by covering some major topics in philosophy of science—e.g., how to distinguish between science and pseudoscience, whether social and ethical values play a role in science, and others—and then we turn to the rich, place-based epistemologies of various Indigenous communities, examining how their worldviews, practices, and values offer unique perspectives on environmental stewardship, sustainability, and resilience.

By the end of this course, you will be able to:

• Synthesize information offered in a philosophical text, determine the author’s perspective & conclusion(s), and evaluate the …

Booked Or Buried In Texas: Risk Factors For Prebooking Suicide And Homicide Deaths Of Individuals With Sex Offenses, Nicole Moreira

Clinical Psychology Dissertations

Preventable deaths during law enforcement encounters, particularly those violent in nature, such as suicide and homicide deaths, are of considerable public concern. Prebooking, the law enforcement custody stage that includes arrest, serving warrants, wellness checks, traffic stops is often the most dangerous and fatal stage of custody. Despite being the most potentially dangerous and unpredictable of any custody stage, prebooking remains grossly understudied in comparison to jail and prison research, underscoring the need for focused research. To address this gap, the present study examines risk factors for suicide and homicide deaths among individuals with sex-related offenses during prebooking custody. Individuals …

Airfield Pavement Management Framework Using Advanced Modeling Techniques, Heena Dhasmana, Marwa Hassan, Elise Mansour

Publications

Airport authorities constantly collect pavement condition data and utilize life-cycle cost analysis to select construction and maintenance alternatives. The current Federal Aviation Administration (FAA) Advisory Circular 150/5380-7B recommends using Pavement Condition Index (PCI) to assess airfield pavement condition for planning of Maintenance and Rehabilitation (M&R) treatments. However, structural and functional performance might not be fairly represented by solely one indicator, the PCI. The latter might mask the root cause of the pavement deterioration and lead to inadequate M&R recommendations. Furthermore, the regression nature of the existing airfield pavement assessment models is not adequate for establishing pavement performance prediction as a …

Discrimination Of Sprat Species (Clupeonella Spp.) In The Caspian Sea And The Sea Of Marmara Using Otolith Shape Analysis, Mohammad Reza Shariati, Mohammad Sadegh Alavi-Yeganeh, Mehdi Ghanbarifardi, Gülşah Saç, Müfi̇t Özuluğ, Erdoğan Çi̇çek

Turkish Journal of Zoology

This study evaluates the discriminating power of sagittal otolith shape among three species of the genus Clupeonella endemic to the Caspian Sea (Clupeonella grimmi, Clupeonella caspia, and Clupeonella engrauliformis) and one species from the Sea of Marmara (Clupeonella Cultriventris). Identification of these species is challenging due to their morphological similarities, and the taxonomic validity of C. caspia and C. cultriventris remains ambiguous because of their resemblance. Scanning electron microscope (SEM) images were utilized to examine the morphological characteristics of otoliths. Stereomicroscope images were used to calculate six shape indices: rectangularity, roundness, ellipticity, circularity, aspect ratio, and form factor. The outline …

The Rise Of Nutrition Misinformation: Impact On The Credibility Of Registered Dietitians In Practice, Sarah Owens

Honors Theses

With the rise of social media usage, misinformation on health and nutrition has increased in the last decade. The consequences of this misinformation by social media users has been documented in research, although the effects of misinformation on registered dietitians (RDs) in the United States have not been extensively studied. This thesis examines how the credibility of RDs is affected by unregulated nutrition information and counseling on social media (e.g. by “wellness influencers") using a qualitative survey of twenty-seven RDs licensed and registered in the U.S. Data were analyzed using thematic analysis methods to determine recurring responses and themes among …

Prohibitive Factors Of Successful Completion In Rural Drug Courts: A Quantitative Study, Travis Zimmerman

Walden Dissertations and Doctoral Studies

Drug courts have been heralded as largely successful alternative sentencing programs for criminal drug offenders. While these programs demonstrate their ability to be effective with clients, little insight has been gained into the factors that impact client success and failure. The study utilized data from the Multi-site Adult Drug Court Evaluation (MADCE) to investigate the factors that lead to program failure for participants in drug court. Borrowing from the tenants of generalized strain theorists, the study batched together raw data into four “strain factors,” which were then analyzed to discern any corollary effect between the presence of these strains and …

Assessment Of Pyriproxyfen 0.5% (Juvenile Hormone Analog) Against Mosquito (Diptera: Culicidae) Larvae: A Multiscale Study From Laboratory To Field, Neetu Kachhwaha, Vinod Kumari, Rajbala Verma, Nirmala Sharma, Asif Khan, Mohit Singh, Sanyam Nimoria, Priyadarshini Sharma

Turkish Journal of Zoology

Vector control strategies increasingly focus on nonconventional chemicals with high insecticidal efficacy, persistence, and low toxicity to nontarget organisms. The present multiphase study, conducted in laboratory, semifield, and field conditions in Jaipur, Rajasthan, India, evaluated the efficacy of pyriproxyfen (0.5%) (juvenile hormone analog) in controlling mosquito emergence. Laboratory bioassays demonstrated significant susceptibility of Culex tritaeniorhynchus Giles, 1901 (Diptera: Culicidae) larvae, with the first and second instars exhibiting 100% mortality at 1 ppm and third and fourth instars showing emergence inhibition (IE) of 86.11% and 65.28%, respectively. Probit analysis determined lower LC₅₀, LC₉₀, and LC₉₉.₉ values for the first instar larvae …

Finite Volume Incompressible Lattice Boltzmann Framework For Non-Newtonian Flow Simulations In Complex Geometries, Akshay Dongre, John Ryan Murdock, Song Lin Yang

Michigan Tech Publications

Arterial diseases are a leading cause of morbidity worldwide, necessitating the development of robust simulation tools to understand their progression mechanisms. In this study, we present a finite volume solver based on the incompressible lattice Boltzmann method (iLBM) to model complex cardiovascular flows. Standard LBM suffers from compressibility errors and is constrained to uniform Cartesian meshes, limiting its applicability to realistic vascular geometries. To address these issues, we developed an incompressible LBM scheme that recovers the incompressible Navier–Stokes equations (NSEs) and integrated it into a finite volume (FV) framework to handle unstructured meshes while retaining the simplicity of the LBM …

Aerial Imagery And Surface Water And Ocean Topography For High-Resolution Mapping For Water Availability Assessments Of Small Waterbodies On The Coast, Cuizhen Wang, Charles Alex Pellett, Haofeng Tan, Tanner Arrington

Faculty Publications

Surface water is the primary freshwater supply for Earth. Small lakes and ponds provide important ecological and economic services to society but are often left undocumented, or their documentation is outdated, due to their small sizes and temporal dynamics. This study tested the feasibility of the new Surface Water and Ocean Topography (SWOT) mission regarding the 3D documentation of small waterbodies in a coastal area of South Carolina, USA. Via deep learning using a recent 15 cm aerial image, small waterbodies (>0.02 ha) were extracted at an average precision score of 0.81. The water surface elevation (WSE) of each …

The Effects Of Tulsa Remote On Inducing Moves To Tulsa: Estimates And Implications, Timothy J. Bartik

Upjohn Institute Technical Reports

Tulsa Remote is one of the largest of over 100 remote worker attraction programs in the United States. Since its beginning in 2018, the program has provided generous incentives ($10,000 for moving to Tulsa and staying one year), along with accompanying networking services and incentives to encourage entrepreneurship, to over 3,000 Tulsa Remote member households, selected out of tens of thousands of applicants. Tulsa Remote’s purpose is to promote economic development in Tulsa. Tulsa Remote members spend more locally and generate fiscal benefits, as well as start up businesses and help make Tulsa more attractive for high-tech job growth. These …

Honey Bee & Reward Loss: A Deep Dive Into The Alarm Pheromone, Citlalli Guadarrama

Masters Theses (Archived)

No abstract provided.

A Catalytic Pathway For The Formation Of Cyanobenzene In Nitrogen-Rich Environments And The Spectroscopy Of The Reactive Intermediates, Vincent J. Esposito, Silvia Alessandrini, David Dubois, Ryan Fortenberry

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The catalytic reaction of isocyanobenzene (C₆H₅NC) with NCN⁻ produces cyanobenzene (C₆H₅NC) through various highly stable reactive intermediate species. Nitrogen-rich environments such as Titan’s atmosphere serve as favorable locations to study reaction pathways involving nitrogenated species contributing to organic growth. Formation pathways of cyanobenzene have been characterized, but none with the contribution of anions or phenyl groups. In regions with a high abundance of nitrogen anions, such as Titan’s atmosphere, reactions with species such as NCN⁻ may play a role in the formation of cyanobenzene. Highly accurate computational methods are used …

Leveraging College Men’S Sports Betting Experiences To Inform Responsible Gambling: A Focus Group Study, Chance V. Dow, Matthew D. Andersland, Emily A. Velandia, Rory A. Pfund, James P. Whelan

UNLV Gaming Research & Review Journal

College students are especially vulnerable to the harms associated with sports betting. Responsible Gambling (RG) strategies aim to mitigate these harms. However, research on the relevance and adoption of RG strategies among college students is limited and lacks insight from consumer experiences. The current study conducted a qualitative investigation to examine the experiences of college men who sports bet to provide guidance on how these experiences can subsequently inform RG. Three online focus groups with college men who sports bet (n = 12) were conducted using a semi-structured interview guide. Discussions were recorded, transcribed, and analyzed using an open …

Detecting And Analyzing Frequency Events In Power Systems Using Tunable Parameters-Based Algorithms: Development, Optimization, And Analysis, Hussain A. Alghamdi

Dissertations and Theses

This dissertation addresses the challenge of detecting frequency events in diverse power systems by enhancing existing frequency event detection methods through detection process modifications and developing unique tunable parameters. Since system characteristics differ across regions, frequency event detection algorithms must be customized by domain experts for each balancing area using tunable parameters. By optimizing these parameters for specific power system, the algorithms can accurately detect frequency events and can also be used for further analysis to determine trends in frequency events over time, ensuring system stability.

This dissertation focuses on the enhancement and optimization of frequency event detection algorithms. These …