Digital Commons Network^™

Regulatory Fit As A Predictor For Sexual Consent Attitude Change, Zuleyka Hernandez

UNF Graduate Theses and Dissertations

Previous research indicates a gap in the knowledge regarding the situations in which regulatory fit or non-fit is most effective. Prior research has also demonstrated a gap in tools for encouraging the establishment of sexual consent and a generally negative attitude toward consent by college students regardless of its recognized importance in the college population. Regulatory non-fit (Messages that do not match the chronic regulatory focus of the audience) has also been shown to increase initially negative attitudes (Fridman et al., 2016; Avent et al., 2013). Our hypothesis was that a message of regulatory non-fit, designed to encourage direct, verbal …

Gender And Collaborative Learning Approaches In Engineering Education: A Phenomenological Analysis, Shannon M. Chance, S. I. Cruz Moreno

Research Outputs: 2025-Present

No abstract provided.

Crime, Risk And Resilience In The Countryside: Governing Rural Security, Artur Pytlarz

Doctoral

A consequence of globalisation is a growing transport infrastructure which exposes rural communities to a greater risk of crime and increased insecurity. This is compounded by the withdrawal of both market and state in policing, banking, hospitals and postal services leaving rural citizens with what seems to be ontological insecurity. This project is set in Ireland but addresses global themes such as late modernity, risk and globalization and undertakes an intensive qualitative sociological study of how communities build the capacity to manage these changes. These capacities, it is hypothesised, can be found in nascent forms of local informal crime control …

Characterization Of Biochar As A Carbon Regulator In Manure And Environmental Management Applications, Josephine Getz

Doctoral

Biochar is a product of pyrolysis, which is the thermal decomposition of materials at elevated temperatures (300 - 900 °C) in an oxygen-limited atmosphere. Biochar has been recognized as a potentially vital tool to help reduce the climate change impact. It has been used in the agricultural sector as an addition to reduce greenhouse gas emissions in several animal husbandry settings. The application in the animal sector is an important point to reduce the overall amount of greenhouse gases released as this sector produces many greenhouse gases. Though not in every case a reduction of emissions was the result of …

Don't Abolish Employee Noncompete Agreements, Alan J. Meese

Faculty Publications

For over three centuries, Anglo-American courts have assessed employee noncompete agreements under a Rule of Reason. Despite long-standing precedent, some now advocate banning all such agreements. These advocates contend that employers use superior bargaining power to impose such "contracts of adhesion," preventing employees from selling their labor to the highest bidder and reducing wages. Abolitionists also contend that such agreements cannot produce cognizable benefits and that employers could achieve any benefits via less restrictive alternatives without limiting employee autonomy.

This Article critiques the Abolitionist position. Arguments for banning noncompete agreements echo hostile critiques of other nonstandard contracts during antitrust law's …

Dataset Of Parent-Child Hyperscanning Functional Near-Infrared Spectroscopy Recordings, Andrea Bizzego, Giulio Gabrieli, Atiqah Azhari, Mengyu Lim, Gianluca Esposito

Research Outputs: 2025-Present

The term “hyperscanning” refers to the simultaneous recording of multiple individuals’ brain activity. As a methodology, hyperscanning allows the investigation of brain-to-brain synchrony. Despite being a promising technique, there is a limited number of publicly available functional Near-infrared Spectroscopy (fNIRS) hyperscanning recordings. In this paper, we report a dataset of fNIRS recordings from the prefrontal cortical (PFC) activity of 33 mother-child dyads and 29 father-child dyads. Data was recorded while the parent-child dyads participated in an experiment with two sessions: a passive video attention task and a free play session. Dyadic metadata, parental psychological traits, behavioural annotations of the play …

Habilitation Of Sleep Problems Among Mothers And Their Children With Autism Spectrum Disorder: Insights From Multi-Level Exploratory Dyadic Analyses, Wasmiah Bin Eid, Mengyu Lim, Giulio Gabrieli, Melanie Kölbel, Elizabeth Halstead, Gianluca Esposito, Dagmara Dimitriou

Research Outputs: 2025-Present

Few habilitation strategies for children with autism spectrum disorder (ASD) consider their sleep-related problems. Together with the fact that caregivers of children with ASD also face issues with sleep, there may be yet-to-be uncovered relationships between caregiver-child sleep patterns and sleep quality, offering a key opportunity for clinicians to consider the needs of both child and caregiver in terms of sleep. 29 dyads of mothers and their children with ASD were recruited for this cohort study and both subjective (self-report questionnaires and sleep diaries) and objective (cortisol samples and actigraphy) measures of sleep were collected to investigate significant predictors of …

Modelling And Design Of Holographic Optical Elements For Beam-Coupling Applications For A Range Of Incident Beam Angles, Dipanjan Chakraborty, Rosen Georgiev, Sinéad Aspell, Vincent Toal, Izabela Naydenova, Dervil Cody, Suzanne Martin

Articles

Theoretical modelling has been used to calculate the holographic recording beam angles required in air (at any recording wavelength) to produce a Volume Holographic Optical Element (VHOE) for any defined input and output beam angles. The approach is used to facilitate the design and fabrication of diffractive coupling elements through a holographic process that avoids the use of coupling prisms during recording and will help in the design of recording arrangements that better suit the mass production of low-cost elements, especially those designed for non-normal incidence. In this study, the recording angles needed for a range of recording wavelengths were …

Application Of Advanced Non-Linear Spectral Decomposition And Regression Methods For Spectroscopic Analysis Of Targeted And Non-Targeted Irradiation Effects In An In-Vitro Model, Ciara Slattery, Khanh Nguyen, Laura Shields, Isabel Vega Carrascal, Sean Singleton, Fiona Lyng, Brendan Mcclean, Aidan Meade

Articles

Irradiation of the tumour site during treatment for cancer with external-beam ionising radiation results in a complex and dynamic series of effects in both the tumour itself and the normal tissue which surrounds it. The development of a spectral model of the effect of each exposure and interaction mode between these tissues would enable label free assessment of the effect of radiotherapeutic treatment in practice. In this study Fourier transform Infrared microspectroscopic imaging was employed to analyse an in-vitro model of radiotherapeutic treatment for prostate cancer, in which a normal cell line (PNT1A) was exposed to low-dose X-ray radiation from …

Biomolecular Corona Stability In Association With Plasma Cholesterol Level, Duong N. Trinh, Meda Radlinskaite, Jack Cheeseman, Gunther Kuhnle, Helen M.I. Osborn, Paula Meleady, Daniel I.R. Spencer, Marco P. Monopoli

Articles

Biomolecular corona is spontaneously formed on the surface of nanoparticles (NPs) when they are in contact with biological fluids. It plays an important role in the colloidal stability of NPs, which is of importance for most of their medical applications and toxicity assessment. While typical studies use either blood plasma or serum from a pooled biobank, it is unclear whether differences in the media, such as cholesterol level or protein concentration, might affect the NP colloidal stability and corona composition. In this study, the silica corona was prepared at particularly low plasma concentrations (3%, v/v–1.98 mg/mL) to identify the critical …

Classification Of Cytological Samples From Oral Potentially Malignant Lesions Through Raman Spectroscopy: A Pilot Study, Isha Behl, Genecy Calado, Anika Vishwakarma, Damien Traynor, Stephen Flint, Sheila Galvin, Claire M. Healy, Marina Leite Pimentel, Alison Malkin, Hugh J. Byrne, Fiona M. Lyng

Articles

The potential of Raman microspectroscopy of exfoliated cells has been demonstrated for oral cancer diagnosis. In this study, brush biopsies were collected from the buccal mucosa/tongue of healthy donors (n = 31) and from oral mucosal dysplastic lesions (n = 31 patients). Raman spectra were acquired and subjected to partial least squares-discriminant analysis (PLS-DA). The patient samples could be differentiated from healthy donor samples with 96% sensitivity and 95% specificity. Furthermore, PLS-DA models were developed based on cytopathological and histopathological assessment. Low and high grade dysplasia could be discriminated with 64% sensitivity and 65% specificity based on cytopathological assessment, while …

Infrared Spectroscopy Is Suitable For Objective Assessment Of Articular Cartilage Health, V. Virtanen, V. Tafintseva, R. Shaikh, E. Nippolainen, J. Haas, I. O. Afara, J. Töyräs, H. Kröger, J. Solheim, B. Zimmermann, A. Kohler, B. Mizaikoff, M. Finnilä, L. Rieppo, S. Saarakkala

Articles

Objective: To evaluate the feasibility of Fourier transform infrared attenuated total reflectance (FTIR-ATR) spectroscopy to detect cartilage degradation due to osteoarthritis and to validate the methodology with osteochondral human cartilage samples for future development towards clinical use. Design: Cylindrical (d ​= ​4 ​mm) osteochondral samples (n ​= ​349) were prepared from nine human cadavers and measured with FTIR-ATR spectroscopy. Afterwards, the samples were assessed with Osteoarthritis Research Society International (OARSI) osteoarthritis cartilage histopathology assessment system and divided into two groups: 1) healthy (OARSI 0–2) and 2) osteoarthritic (OARSI 2.5–6). The classification was done with partial least squares discriminant analysis model …

Preclassification Of Broadband And Sparse Infrared Data By Multiplicative Signal Correction Approach, Hafeez Ur Rehman, Valeria Tafintseva, Boris Zimmermann, Johanne Heitmann Solheim, Vesa Virtanen, Rubina Shaikh, Ervin Nippolainen, Isaac Afara, Simo Saarakkala, Lassi Rieppo, Patrick Krebs, Polina Fomina, Boris Mizaikoff, Achim Kohler

Articles

Preclassification of raw infrared spectra has often been neglected in scientific literature. Separating spectra of low spectral quality, due to low signal-to-noise ratio, presence of artifacts, and low analyte presence, is crucial for accurate model development. Furthermore, it is very important for sparse data, where it becomes challenging to visually inspect spectra of different natures. Hence, a preclassification approach to separate infrared spectra for sparse data is needed. In this study, we propose a preclassification approach based on Multiplicative Signal Correction (MSC). The MSC approach was applied on human and the bovine knee cartilage broadband Fourier Transform Infrared (FTIR) spectra …

Near-Infrared Spectroscopy Enables Arthroscopic Histologic Grading Of Human Knee Articular Cartilage, Jaakko K. Sarin, Mithilesh Prakash, Rubina Shaikh, Jari Torniainen, Antti Joukainen, Heikki Kröger, Isaac O. Afara, Juha Töyräs

Articles

Purpose: To develop the means to estimate cartilage histologic grades and proteoglycan content in ex vivo arthroscopy using near-infrared spectroscopy (NIRS). Methods: In this experimental study, arthroscopic NIR spectral measurements were performed on both knees of 9 human cadavers, followed by osteochondral block extraction and in vitro measurements: reacquisition of spectra and reference measurements (proteoglycan content, and three histologic scores). A hybrid model, combining principal component analysis and linear mixed-effects model (PCA-LME), was trained for each reference to investigate its relationship with in vitro NIR spectra. The performance of the PCA-LME model was validated with ex vivo spectra before and …

Onlife Harms: Uber And Sexual Violence, Amanda Turnbull

Canadian Journal of Law and Technology

Uber markets itself as a technology company that is managed primarily by ML algorithms with the support of human engineers. Yet, in its 2019 Report, the role that its technology played in relation to sexual violence is, for all intents and purposes, absent. Likewise, solutions dealing specifically with the role of technology in facilitating gender-based violence are also missing from the series of initiatives in which Uber has invested that are aimed at preventing sexual violence. Uber was not sufficiently rigorous in defining the problem it was trying to solve. It was a missed opportunity that has resulted in continued …

Bringing Section 8 Home: An Argument For Recognizing A Reasonable Expectation Of Privacy In Metadata Collected From Smart Home Devices, Ana Qarri

Canadian Journal of Law and Technology

Internet of Things devices (also known as smart home devices) are a fast-growing trend in consumer home electronics. The information collected from these devices could prove very useful to law enforcement investigations. These individual pieces of metadata — the collection of which might appear harmless on its face — can be highly revealing when combined with other metadata or information otherwise available to law enforcement. This article builds an argument in favour of recognizing a reasonable expectation of privacy in metadata collected from smart home devices under section 8 of the Canadian Charter of Rights and Freedoms. This article presents …

Let The Machines Do The Dirty Work: Social Media, Machine Learning Technology And The Iteration Of Racialized Surveillance, Subhah Wadhawan

Canadian Journal of Law and Technology

Post 9/11, where the current social and cultural temperature has constructed Islam as interchangeable with terrorism, digital intermediaries have responded with increased censorship of speech related to, emerging from, or advocating Islamic ideology. At the heart of this paper is the argument that digital intermediaries have relied on the opaqueness of machine learning technology (‘‘MLT”) to realize racialized surveillance, whereby speech concerning Islamic content has been disproportionally censored. This paper maps out how inherent biases concerning the ideology of Islam have been interwoven into the coding and machine learning used by the major tech giants. As a result of the …

Principal Professional Learning: Exploring Personal And Contextual Barriers And Facilitators Of Change, Jennifer M. Shepard

UNF Graduate Theses and Dissertations

Principals are regularly expected to navigate and lead in contexts of complex change. While professional learning is often seen as a key lever for change, there is minimal research regarding principal professional learning in change contexts and even fewer studies making explicit connections between professional learning and change. This qualitative multi-case study of four principals actively engaged in a district designed and facilitated yearlong professional learning program explores the experiences of principals within the program and identifies critical connection points between professional learning and change. Through a series of semi-structured interviews and document analyses, findings emerged indicating that principals had …

Are High Levels Of Educator Bias Associated With The Disproportionate Discipline Of Black Students?, Melissa Ann Ramos

UNF Graduate Theses and Dissertations

Data on school discipline inequities have shown disproportionate numbers of Black students suspended and expelled compared to their non-Black counterparts. Despite the implementation of evidence-based solutions such as positive behavior supports and intervention, educator professional development, and restorative practices aimed at closing the racial discipline gap, little to no change has occurred. Critical Race Theory is used as a lens for viewing racial hierarchies as a socially constructed tool to oppress people of color. This oppression can be seen in various aspects of society and in education, especially in school discipline. It is fueled by biases, both implicit and explicit. …

Analysis Of Shared Micromobility Related Crashes: Case Study Of Florida, Enock E. Mwambeleko

UNF Graduate Theses and Dissertations

United States cities have adopted shared micromobility systems to mitigate problems facing the transportation industry. The State of Florida has at least 13 established shared micromobility systems. Identifying the factors influencing the injury severity is critical for improving the safe operations of micromobility devices. This study investigates the leading factors affecting the injury severity for micromobility related crashes in Florida. The study investigates 463 crashes involving e-scooters or e-bikes between 2018 and 2022 in Florida, extracted by the Text-Mining approach from the SignalFour Analytics database. Analyses consisted of exploratory data analysis to discover trends and patterns. First, using the Pedestrian …

A Quasi-Experimental Correlational Study Of Knowledge, Attitude, Behavior Of Nutrition Paraprofessionals Receiving An Online Nutrition Education Training. A Framework For Training Nutrition Paraprofessionals In Northwest Georgia Wic, Cicely Clarisse Thomas

UNF Graduate Theses and Dissertations

Background In 1998, Georgia Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) adopted the Florida Department of Public Health WIC Nutrition Training Guide. The purpose of adopting the course was to use it as a resource to properly educate and train nutrition paraprofessionals to conduct low risk education to Georgia WIC participants.¹ The Georgia WIC policy requires that each nutrition paraprofessional complete the approved nutrition training prior to educating WIC participants. The current resource for training nutrition paraprofessionals in Georgia WIC is outdated. Last updated in 2007, the formal training no longer accurately trains paraprofessional staff to …

Hosting A Community-Based Local Electricity Market In A Residential Network, Aziz Saif, Shafi K. Khadem, Michael Conlon, Brian Norton

Articles

This paper presents the potential of building a local electricity market (LEM) to boost the deployment of the local energy communities, centred around active customers with distributed energy resources (DERs). To conduct a comprehensive and detailed study on different cases with reduced computational burdens, this paper adopts a simplified modelling approach where the market and network model simulations are performed in a cascaded, decoupled fashion. This allows achieving the optimal LEM output for the energy community with different DER assets that are not bounded by the network constraints. The investigation involves quantifying the benefits brought by LEM to energy communities …

Two Mechanisms For Formation Of Ferronematic Phase Studied By Dielectric Spectroscopy, Neelam Yadav, Yuri Panarin, J.K. Vij, Wanhe Jiang, Georg H. Mehl

Articles

A non-chiral ferroelectric nematic compound DIO was studied by dielectric spectroscopy in the frequency range 0.01 Hz to 10 MHz over a wide range of temperatures. The compound exhibits three nematic phases on cooling from the isotropic phase, viz. the ordinary paraelectric nematic N; intermediate nematic NX and ferroelectric NF phases. The lower frequency relaxation process P1 is similar to those observed in other ferronematic compounds. It is a continuation of the molecular flip-flop mode in the isotropic phase and corresponds to the collective movement of dipoles which are strongly coupled with splay fluctuations in the nematic phases. In addition …

Spontaneous Symmetry Breaking And Linear Electrooptic Response In The Achiral Ferronematic Compound, Neelam Yadav, Yuri Panarin, Wanhe Jiang, Georg H. Mehl, J.K. Vij

Articles

A compound with the constituent non-chiral molecules, DIO, known to exhibit three nematic subphases namely N, Nx and NF, is studied by polarizing microscopy as function of the alignment layers on one of the substrates, no alignment on any of the substrates, alignment layer on both substrates with parallel and antiparallel rubbing, different cell spacings. The cell with one alignment layer is also studied by electro-optics. N is found to be a conventional nematic phase, but it shows two additional unusual features: chiral domains of opposite chirality and the linear EO response to the applied signal under certain experimental conditions. …

Optimal Design Of Photovoltaic, Biomass, Fuel Cell, Hydrogen Tank Units And Electrolyzer Hybrid System For A Remote Area In Egypt, Hoda Abd El-Sattar, Salah Kamel, Hamdy M. Sultan, Hossam Zawbaa, Francisco Jurado

Articles

In this paper, a new isolated hybrid system is simulated and analyzed to obtain the optimal sizing and meet the electricity demand with cost improvement for servicing a small remote area with a peak load of 420 kW. The major configuration of this hybrid system is Photovoltaic (PV) modules, Biomass gasifier (BG), Electrolyzer units, Hydrogen Tank units (HT), and Fuel Cell (FC) system. A recent optimization algorithm, namely Mayfly Optimization Algorithm (MOA) is utilized to ensure that all load demand is met at the lowest energy cost (EC) and minimize the greenhouse gas (GHG) emissions of the proposed system. The …

A Hybrid Machine Learning Technique For Feature Optimization In Object-Based Classification Of Debris-Covered Glaciers, Shikha Sharda, Mohit Srivastava, Hemendra Singh Gusain, Naveen Kumar Sharma, Kamaljit Singh Bhatia, Mohit Bajaj, Harsimrat Kaur, Hossam Zawbaa, Salah Kamel

Articles

Object-based features like spectral, topographic, and textural are supportive to determine debris-covered glacier classes. The original feature space includes relevant and irrelevant features. The inclusion of all these features increases the complexity and renders the classifier’s performance. Therefore, feature space optimization is requisite for the classification process. Previous studies have shown a rigorous exercise in manually selecting the best combination of features to define the target class and proven to be a time consuming task. The present study proposed a hybrid feature selection technique to automate the selection of the best suitable features. This study aimed to reduce the classifier’s …

Generalized Regression Neural Network And Fitness Dependent Optimization: Application To Energy Harvesting Of Centralized Teg Systems, Adeel Feroz Mirza, Syed Kamran Haider, Abbas Ahmed, Ateeq Ur Rehman, Muhammad Shafiq, Mohit Bajaj, Hossam Zawbaa, Pawel Szczepankowski, Salah Kamel

Articles

The thermoelectric generator (TEG) system has attracted extensive attention because of its applications in centralized solar heat utilization and recoverable heat energy. The operating efficiency of the TEG system is highly affected by operating conditions. In a series-parallel structure, due to diverse temperature differences, the TEG modules show non-linear performance. Due to the non-uniform temperature distribution (NUTD) condition, several maximum power points (MPPs) appear on the P/V curve. In multiple MPPs, the true global maximum power points (GMPP) are very important for optimum action. The existing conventional technologies have slow tracking speed, low productivity, and unwanted fluctuations in voltage curves. …

Dynamic Effect Of Disintegrated Energy Consumption And Economic Complexity On Environmental Degradation In Top Economic Complexity Economies, Tomiwa Sunday Adebayo, Mehmet Altuntaş, Sanjar Goyibnazarov, Ephraim Bonah Agyekum, Hossam Zawbaa, Salah Kamel

Articles

The current paper explores the influence of disintegrated energy and economic complexity on CO2 emissions (CO2) in the top economic complexity economies. The model also incorporates other drivers of CO2, such as technological innovation and economic growth. The current research utilizes data stretching from 1993 to 2018. The research employed Westerlund cointegration, fully modified OLS (FMOLS), dynamic OLS (DOLS), and method of moments quantile regression (MMQR) to evaluate these interconnections. The outcomes of the slope heterogeneity and cross-sectional dependence affirmed the use of second-generation techniques. The study confirmed the long-run association between CO2 and the regressors. The results of the …

Prospects Of Biogas And Evaluation Of Unseen Livestock Based Resource Potential As Distributed Generation In India, Gagandeep Kaur, Naveen Kumar Sharma, Jaspreet Kaur, Mohit Bajaj, Hossam Zawbaa, Rania A. Turky, Salah Kamel

Articles

The power sector of developing countries is the backbone of the economy, and robust implementation of energy policies can play a significant role in its expansion. India is blessed to have ample natural resources; the only necessity is to identify these unseen resources comprehensively. India is an agricultural country with plenty of livestock generated biomass, which is renewable and easily accessible in rural India. The paper estimated the potential of electrical energy through biogas production from livestock generated dung in all states of India. Estimation of biogas from the gross livestock dung generation from all states and largely populated livestock …

Optimal Allocation Of Distributed Generation With The Presence Of Photovoltaic And Battery Energy Storage System Using Improved Barnacles Mating Optimizer, Ali Selim, Salah Kamel, Hossam Zawbaa, Baseem Khan, Francisco Jurado

Articles

This paper proposes an improved version of Barnacles mating optimizer (BMO) for solving the optimal allocation problem of distribution generator (DGs) in radial distribution systems (RDSs). BMO is a recent bioinspired optimization algorithm that mimics the intelligence behavior of Barnacles' mating. However, like with any metaheuristic optimization approach, it may face issues such as local optima trapping and low convergence rate. Hence, an improved BMO is adopted based on the quasi oppositional (QOBMO) and the chaos maps theories (CQOBMO). The two improvement methods are applied to increase the convergence performance of the conventional BMO. To prove the efficiency of the …