Digital Commons Network^™

Eeg Eye Blink Artifacts Removal With Wavelet Denoising And Bandpass Filtering, Ebtesam N. Alshemmary, Bushra K. Hilal, Azmi Sh. Abdulbaqi, Mohammed A. Ahmed, Zhentai Lu

Baghdad Science Journal

Many data sources can be analyzed using Wavelet Transforms (WT), a mathematical technique frequently used for extracting information from them. Although WT was effective at Blind Source Separation (BSS), it had some limitations, such as signal loss. The problem has been addressed with the introduction of a joint algorithm that combines WT with Frequency Domain Filtering (BPF). Wavelet Denoising Technique (WDT) and Band-Pass Filtering (BPF) are employed in this research to propose an innovative algorithm for combining advanced wavelet transform methods. Combining these two techniques helps reduce eye flutter in electroencephalograms (EEGs).FP1 signals produced by eye movement are filtered out …

Estimation Of Copula Density Using The Wavelet Transform, Fatimah Hashim Falhi, Munaf Yousif Hmood

Baghdad Science Journal

This paper proposes a new method to estimate the copula density function using wavelet decomposition as a nonparametric method, to obtain more accurate results and address the issue of boundary effects that nonparametric estimation methods suffer from. The wavelet method is an automatic method for dealing with boundary effects because it does not take into Consideration whether the time series is stationary or nonstationary. To estimate the copula density function, simulation was used to generate data using five different copula functions, such as Gaussian, Frank, Tawn, Rotation Tawn, and Joe copulas. With five different sample sizes at three positive correlation …

Adverse Childhood Experiences And Hiv-Related Stigma: A Quantitative Survey Of Tanzanian Men, June 2019, Amandeep Kaur, Monique J. Brown Ph.D., Mph, Geoffrey K. Kangogo, Xiaoming Li Ph.D., Ivan E. Teri, Gaspar Mbita, Aima A. Ahonkhai, Donaldson F. Conserve

Faculty Publications

Experiencing adverse childhood experiences (ACEs) may impact personal opinions, attitudes, and judgments, which can further result in HIV-related stigma. HIV-related stigma consequentially may impact HIV preventive measures such as HIV testing, pre-exposure prophylaxis uptake, and condom use. The extent to which ACEs influence HIV-related stigma perception has not been well studied. Therefore, the study aimed to examine the association between ACEs and perceived and interpersonal HIV-related stigma among Tanzanian HIV-negative men. Quantitative survey data were obtained from the Tanzania STEP (Self-Testing Education and Promotion) project established in four wards: Mabibo, Manzese, Tandale, and Mwanyanamala. A total of 507 men responded …

Charting The Unknown: First Passage Time Probabilities For Pearson Diffusion Process And Application To Options Risk Management, Saswat Patra, Malay Bhattacharyya

American Business Review

The first passage time probabilities have applications in many fields, including Finance, Marketing, Economics, Physics, and Statistics. In this paper, we study the first passage time probabilities for a Pearson diffusion process and obtain the lower and upper bounds of the first passage time density. We show that the density may be approximated by the upper bound with an error of approximately five percent. We present an application by modelling the profit and loss function of the S&P 500, FTSE 100 and DAX 40 index options using a Pearson diffusion process. Further, we establish the relation between first passage time …

The Epistemic Role Of Ai Decision Support Systems: Neither Superiors, Nor Inferiors, Nor Peers, Rand Hirmiz

Research Collection School of Social Sciences

Despite the importance of discussions over the epistemic role that artificially intelligent decision support systems ought to play, there is currently a lack of these discussions in both the AI literature and the epistemology literature. My goal in this paper is to rectify this by proposing an account of the epistemic role of AI decision support systems in medicine and discussing what this epistemic role means with regard to how these systems ought to be utilized. In particular, I argue that AI decision support systems are not epistemic superiors, inferiors, or peers. Instead, I recommend that they be classified in …

Against The Substitutive Approach To Ai In Healthcare, Rand Hirmiz

Research Collection School of Social Sciences

Paul Bloom has famously argued against the need for empathy in clinicians, while Sally Dalton-Brown has argued that AI need not be capable of empathy to be a good carer. In this paper, the capacity for AI to substitute for human clinicians is assessed from a bioethical perspective, primarily through the evaluation of the arguments put forth by Dalton-Brown and Bloom concerning empathy in healthcare. In opposition to both Bloom and Dalton-Brown, this paper argues that (1) empathy is essential to providing good care or deep care (that is, care that goes beyond the mere fulfilment of medical tasks), (2) …

Product Perspective From Fuzzy To Neutrosophic Graph Extension- A Review Of Literature, G. Vetrivel, M. Mullai, G. Rajchakit

Neutrosophic Systems with Applications

This review article consolidates and tabulates research on the product operations done in fuzzy, intuitionistic fuzzy, and neutrosophic graphs. This article encompasses the previous product discussions on fuzzy graphs and their extensions. This article aims to list the origin, structural properties, applications, etc. done by the researchers and academicians using the product behavior of two graphs on the fuzzified environment. This review provides a clear understanding of enhancements of product approach on graphs from fuzzy to neutrosophic kind.

A Neutrosophic Model For Measuring Evolution, Involution, And Indeterminacy In Species: Integrating Common And Uncommon Traits In Environmental Adaptation, Antonios Paraskevas, Michael Madas

Neutrosophic Systems with Applications

In 2017, Professor F. Smarandache introduced the Neutrosophic Theory of Evolution, Involution, and Indeterminacy (or Neutrality) (NToEIaI). He concluded that every theory of evolution is characterized by a certain degree of truth, indeterminacy, and untruth, as in neutrosophic logic. In this perspective, he raised several open questions on evolution, neutrality, and involution that required further research effort. Very recently, in 2024, Smarandache conducted research, from a soft sciences/philosophical viewpoint, on identifying and studying common parts in uncommon things and uncommon parts in common things emphasizing the complexity and interconnectedness of concepts within the context of neutrosophy. In this article, we …

Some Similarity Measures On Generalized Interval-Valued Intuitionistic Fuzzy Soft Expert Sets And Their Applications In Medical Diagnosis, Afshan Qayyum, Noreen Mushtaq, Tanzeela Shaheen, Wajid Ali, Florentin Smarandache

Neutrosophic Systems with Applications

In recent years, the application of fuzzy sets has gained significant attraction in various fields, including medical diagnosis, due to their ability to manage uncertainties and imprecise information. This paper focuses on the comparative analysis of similarity measures within the realm of Generalized Interval-Valued Intuitionistic Fuzzy Soft Expert Sets (GIVIFSESs) and explores their application in the domain of medical diagnosis. Most of the important topics in fuzzy set theory are the similarity measures between the generalizations of fuzzy set theory. Similarity measures are a crucial tool which was used in data science. In this process, we measure how much the …

The Long Unwind: British Columbia Court Of Appeal Litigation Activity 1995–2022, Donald J. Netolitzky

UBC Law Review

No abstract provided.

An Overview Of Ancillary Services Provided By Vehicle-To-Grid Systems, Fazel Mohammadi, Mahmood Mirhashemi

Electrical & Computer Engineering and Computer Science Faculty Publications

Vehicle-to-Grid (V2G) systems are emerging as a pivotal technology in modern power systems, offering a range of ancillary services that enhance the stability and reliability of power systems. This paper provides an overview of the key ancillary services provided by V2G systems, highlighting their role in grid modernization. Technical challenges, economic implications, and policy considerations associated with the deployment of V2G systems are explored to assess their potential impact on advancing a more resilient and sustainable energy infrastructure.

Learning Problems Related To Stochastic Differential Equations, Jinpu Zhou

LSU Doctoral Dissertations

Stochastic differential equations (SDEs) are essential for modeling systems influenced by both deterministic dynamics and random fluctuations, with applications in a wide variety of disciplines. This thesis develops a Bayesian framework for nonparametric learning in SDEs, addressing key challenges in inference, particularly when dealing with complex systems and incomplete data. The thesis begins by establishing a theoretical foundation in optimization over Hilbert spaces, including a generalized representer theorem to address infinite-dimensional optimization problems encountered in nonparametric inference. Building on this, we introduce a Bayesian framework with shrinkage priors to learn drift functions from high-frequency data. Bayesian approach incorporates low-cost sparse …

Analysis Of Multivariable Sensor Responses To Multi-Analyte Gas Samples In The Presence Of Interferents And Humidity, Sakin Sarwar Satter, Florian Bender, Nicholas Post, Antonio J. Ricco, Fabien Josse

Electrical and Computer Engineering Faculty Research and Publications

This work presents an adaptive sensor signal-processing approach to enable quantification, using a single gas sensor or a small sensor array, of multianalyte mixtures of aromatic hydrocarbons in the presence of various interferents and humidity for environmental-monitoring applications. Dynamic sensor responses are analyzed by extracting multivariable sensing parameters to provide necessary sensitivity and selectivity. This is achieved by integrating the Levenberg–Marquardt-modified, exponentially weighted, recursive-least-squares-estimation (LM-modified EW-RLSE) algorithm and principal-component analysis (PCA). Achieving measured detection limits as low as 3 μg/L (≤1 ppm by volume) for 6 target analytes, the system exhibits excellent PCA cluster separation for all analytes in the …

Dna Methylation Classes Of Stage Ii And Iii Primary Melanomas And Their Clinical And Prognostic Significance, Kathleen Conway, Sharon N Edmiston, Amanda Vondras, Allison Reiner, David L Corcoran, Ronglai Shen, Eloise A Parrish, Honglin Hao, Lan Lin, Jessica M Kenney, Gbemisola Ilelaboye, Caroline E Kostrzewa, Pei Fen Kuan, Klaus J Busam, Cecilia Lezcano, Tim K Lee, Eva Hernando, Paul B Googe, David W Ollila, Stergios Moschos, Ivan Gorlov, Christopher I Amos, Marc S Ernstoff, Anne E Cust, James S Wilmott, Richard A Scolyer, Graham J Mann, Ismael A Vergara, Jennifer Ko, Judy R Rees, Shaofeng Yan, Eduardo Nagore, Marcus Bosenberg, Bonnie Gould Rothberg, Iman Osman, Jeffrey E Lee, Yvonne Saenger, Paul Bogner, Cheryl L Thompson, Meg Gerstenblith, Sheri L Holmen, Pauline Funchain, Elise Brunsgaard, Natalie D Depcik-Smith, Li Luo, Tawny Boyce, Irene Orlow, Colin B Begg, Marianne Berwick, Nancy E Thomas

Faculty, Staff and Students Publications

Purpose: Patients with stage II and III cutaneous primary melanoma vary considerably in their risk of melanoma-related death. We explore the ability of methylation profiling to distinguish primary melanoma methylation classes and their associations with clinicopathologic characteristics and survival.

Materials and methods: InterMEL is a retrospective case-control study that assembled primary cutaneous melanomas from American Joint Committee on Cancer (AJCC) 8th edition stage II and III patients diagnosed between 1998 and 2015 in the United States and Australia. Cases are patients who died of melanoma within 5 years from original diagnosis. Controls survived longer than 5 years without evidence of …

Search For An Ev-Scale Sterile Neutrino Using Improved High-Energy 𝜈𝜇 Event Reconstruction In Icecube, Karen Andeen

Physics Faculty Research and Publications

This Letter presents the result of a 3+1 sterile neutrino search using 10.7 yr of IceCube data. We analyze atmospheric muon neutrinos that traverse the Earth with energies ranging from 0.5 to 100 TeV, incorporating significant improvements in modeling neutrino flux and detector response compared to earlier studies. Notably, for the first time, we categorize data into starting and throughgoing events, distinguishing neutrino interactions with vertices inside or outside the instrumented volume, to improve energy resolution. The best-fit point for a 3+1 model is found to be at sin2⁡(2⁢𝜃24)=0.16 and Δ⁢𝑚241 =3.5  eV2, which agrees with previous iterations of this …

The Novel Estrogen Receptor Beta Agonist Egx358 And Apoe Genotype Influence Memory, Vasomotor, And Anxiety Outcomes In An Alzheimer’S Mouse Model, M. R. Schwabe, A. W. Fleischer, R. K. Kuehn, S. Chaudhury, J. M. York, D. S. Sem, William A. Donaldson, M. J. Ladu, K. M. Frick

Chemistry Faculty Research and Publications

Introduction: Alzheimer’s disease (AD) prevalence and severity are associated with increased age, female sex, and apolipoprotein E4 (APOE4) genotype. Although estrogen therapy (ET) effectively reduces symptoms of menopause including hot flashes and anxiety, and can reduce dementia risk, it is associated with increased risks of breast and uterine cancer due to estrogen receptor alpha (ERα)-mediated increases in cancer cell proliferation. Because ERβ activation reduces this cell proliferation, selective targeting of ERβ may provide a safer method of improving memory and reducing hot flashes in menopausal women, including those with AD. APOE genotype influences the response to ET, although it is …

Fractionated Photoimmunotherapy Stimulates An Anti-Tumour Immune Response: An Integrated Mathematical And In Vitro Study, Mohammad U Zahid, Matthew Waguespack, Rebecca C Harman, Eric M Kercher, Shubhankar Nath, Tayyaba Hasan, Imran Rizvi, Bryan Q Spring, Heiko Enderling

Faculty, Staff and Student Publications

Background: Advanced epithelial ovarian cancer (EOC) has high recurrence rates due to disseminated initial disease presentation. Cytotoxic phototherapies, such as photodynamic therapy (PDT) and photoimmunotherapy (PIT, cell-targeted PDT), have the potential to treat disseminated malignancies due to safe intraperitoneal delivery.

Methods: We use in vitro measurements of EOC tumour cell and T cell responses to chemotherapy, PDT, and epidermal growth factor receptor targeted PIT as inputs to a mathematical model of non-linear tumour and immune effector cell interaction. The model outputs were used to calculate how photoimmunotherapy could be utilised for tumour control.

Results: In vitro measurements of PIT dose …

A Site-Wise Reliability Analysis Of The Abcd Diffusion Fractional Anisotropy And Cortical Thickness: Impact Of Scanner Platforms, Yezhi Pan, L Elliot Hong, Ashley Acheson, Paul M Thompson, Neda Jahanshad, Alyssa H Zhu, Jiaao Yu, Chixiang Chen, Tianzhou Ma, Ho-Ling Liu, Jelle Veraart, Els Fieremans, Nicole R Karcher, Peter Kochunov, Shuo Chen

Faculty, Staff and Student Publications

The Adolescent Brain and Cognitive Development (ABCD) project is the largest study of adolescent brain development. ABCD longitudinally tracks 11,868 participants aged 9-10 years from 21 sites using standardized protocols for multi-site MRI data collection and analysis. While the multi-site and multi-scanner study design enhances the robustness and generalizability of analysis results, it may also introduce nonbiological variances including scanner-related variations, subject motion, and deviations from protocols. ABCD imaging data were collected biennially within a period of ongoing maturation in cortical thickness and integrity of cerebral white matter. These changes can bias the classical test-retest methodologies, such as intraclass correlation …

On Spatiotemporal Trends In Meter-Scale Gris Surface Roughness And The Development Of An On-Ice Laser Distance Meter, Jamie C. Good

Dartmouth College Master’s Theses

Surface roughness is a critical component of the energy and mass balance of the Greenland Ice Sheet (GrIS). However, roughness is often oversimplified in predictive models due to its inherent scale dependency. Accurate quantification of roughness, including its recent changes and driving factors, is critically important for understanding and predicting GrIS surface dynamics. Using multi- and single-scale methods of roughness analysis, I assess spatiotemporal trends in GrIS meter-scale surface roughness from 2009 to 2019 with Operation IceBridge’s Airborne Topographic Mapper ILATM2 product. Additionally, with data from on-ice automated weather stations, I employ machine learning techniques to identify primary climatic controls …

Connecting Compassion: Empathy's Role In Stem And Literacy Integration, Leah R. Cheek, Vinson Carter, Michael K. Daugherty, Christian Goering

Curriculum and Instruction Faculty Publications and Presentations

Empathy, an unsung, yet critical element of learning, can be strategically interlaced with literacy instruction and engineering design to create a rich and authentic learning experience for students. Integrated STEM education rests on the promise of engaging students and providing deep understandings through the intentional practice of delivering science and math content through the application of technology and engineering skills. Using children's literature to activate empathy and design thinking can help students become better problem-solvers, critical thinkers, and caring members of society. Empathy facilitates a deeper connection to the human experience, ensuring that solutions not only meet the design requirements, …

Health Literacy And Perceived Control: Intermediary Factors In The Relationship Between Race And Cardiovascular Disease Risk In Incarcerated Men In The United States, Jennifer L. Miller, Misook L. Chung, Lovoria B. Williams, Alison R. Connell, Zyad T. Saleh, Abdullah S. Alhurani, Alison L. Bailey, Mary Kay Rayens, Debra K. Moser

UK CARES Faculty Publications

Background: Black race, inadequate health literacy, and poor perceived control are predictors of increased cardiovascular disease (CVD) risk. The purpose of this study was to explore the relationships among race, health literacy, perceived control, and CVD risk while controlling for known risk factors in incarcerated men. Methods: We included data from 349 incarcerated men to examine race and CVD risk (Framingham Risk Score) using a serial mediation model with health literacy and perceived control using 95% confidence intervals (CIs) from 5000 bootstrap samples. Results: Of the participants (age, 36 ± 10; education, 12 ± 2; body mass index, 28.3 ± …

Navigating Non-Orthogonality: Exploring Latent Mean Differences In Unbalanced Conditions, Jay B. Jeffries

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Researchers understand that conducting numerous pairwise comparisons between group means increases the Type I error rate, prompting the use of planned contrasts like orthogonal contrast sets. Implicit to orthogonal contrast sets is the principal assumption that groups are balanced in size. Further, when dealing with complex variables like latent constructs, specialized modeling is necessary. Understanding how violations of the assumptions of an orthogonal contrast set and the latent variable model approach can help identify variation in the accuracy of group mean difference. However, hindrances to the accuracy of latent mean orthogonal comparisons when this assumption is untenable remains unsettled. This …

State Of The Fisheries: Status Reports Of The Fisheries And Aquatic Resources Of Western Australia 2023/24, Stephen J. Newman, Jenny Moore, Daniel J. Gaughan

Status Reports of the Fisheries and Aquatic Resources

This edition of the “State of the fisheries” continues the tradition of annually reporting on the status of exploited fish and their habitats in Western Australia. Critically, the reports provide overviews of the science outcomes that underpin management of fishing across the state.

Scientifically assessing the status of fish resources and potential impacts on ecosystems is inherently challenging; I acknowledge and thank the dedicated fisheries science teams and various support staff for again producing outstanding, robust scientific results that are summarised herein. I similarly acknowledge (i) the fisheries management team who use the science outcomes in policy development and to …

Bridging Human And Machine Intelligence: Reverse-Engineering Radiologist Intentions For Clinical Trust And Adoption, Akash Awasthi, Ngan Le, Zhigang Deng, Rishi Agrawal, Carol C. Hu, Hien Van Nguyen

Computer Science and Computer Engineering Faculty Publications and Presentations

In the rapidly evolving landscape of medical imaging, the integration of artificial intelligence (AI) with clinical expertise offers unprecedented opportunities to enhance diagnostic precision and accuracy. Yet, the "black box" nature of AI models often limits their integration into clinical practice, where transparency and interpretability are important. This paper presents a novel system leveraging the Large Multimodal Model (LMM) to bridge the gap between AI predictions and the cognitive processes of radiologists. This system consists of two core modules, Temporally Grounded Intention Detection (TGID) and Region Extraction (RE). The TGID module predicts the radiologist's intentions by analyzing eye gaze fixation …

Exploring The Human Side Of Math, Mike Janssen

Faculty Work Comprehensive List

"Abstract mathematics is an important way to better understand and marvel at the beauty and intricacy of God’s creation."

Posting about ­­­­­­­­experiences in math research from In All Things, an online hub that offers insight into maintaining and faithful and orthodox Reformed Christian worldview while fearlessly engaging in every aspect of contemporary life – until all is made new.

Exploring the Human Side of Math

Genie: Enhancing Information Management In The Restaurant Industry Through Ai-Powered Chatbot, Megha Gupta, Venkatasai Dheekonda, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

In the dynamic restaurant industry, we introduce "Genie," an AI-powered chatbot, represents an advancement in customer service efficiency through technological innovation. Designed to enhance restaurant operations including order processing, reservations, and FAQs management, Genie leverages advanced Natural Language Processing (NLP) techniques. By converting input queries into word embeddings and applying a sophisticated tag classification system, Genie precisely interprets customer intents and generates accurate responses, thereby markedly improving the dining experience. Our thorough examination of various word embeddings and classifiers—Word2Vec, Glove, BERT, Gaussian Naive Bayes, XGB, Artificial Neural Networks (ANN), and Recurrent Neural Networks—revealed that the combination of Word2Vec and ANN …

Chasing The Albino Pygmy Giraffe, Charles H. Haddad

School of Communication and Journalism Faculty Publications

It's never a good sign when someone is knocking on the door of your hotel room at seven in the morning. That's especially true if you have been schlepping eight college students across Western China, as I had been for the past week. I now heard in this soft rapping the death knell of my fledgling professorial career. Wrapping a ratty, threadbare pillow around my head, I tried to shut out the insistent rapping. Of course, that didn't work. Bad news has a way of butting in.

So begins my novel “Chasing the Albino Pygmy Giraffe.” It is a laugh-aloud …

Ai And Data Science For Public Policy, Kenneth Benoit

Research Collection School of Social Sciences

Artificial intelligence (AI) and data science are reshaping public policy by enabling more data-driven, predictive, and responsive governance, while at the same time producing profound changes in knowledge production and education in the social and policy sciences. These advancements come with ethical and epistemological challenges surrounding issues of bias, transparency, privacy, and accountability. This special issue explores the opportunities and risks of integrating AI into public policy, offering theoretical frameworks and empirical analyses to help policymakers navigate these complexities. The contributions explore how AI can enhance decision-making in areas such as healthcare, justice, and public services, while emphasising the need …

Contrasting Association Pattern Of Plasma Low-Density Lipoprotein With White Matter Integrity In Apoe4 Carriers Versus Non-Carriers, Zhenyao Ye, Yezhi Pan, Rozalina G Mccoy, Chuan Bi, Chen Mo, Li Feng, Jiaao Yu, Tong Lu, Song Liu, J Carson Smith, Minxi Duan, Si Gao, Yizhou Ma, Chixiang Chen, Braxton D Mitchell, Paul M Thompson, L Elliot Hong, Peter Kochunov, Tianzhou Ma, Shuo Chen

Faculty, Staff and Student Publications

Apolipoprotein E ε4 (APOE4) is a strong genetic risk factor of Alzheimer’s disease and metabolic dysfunction. However, whether APOE4 and markers of metabolic dysfunction synergistically impact the deterioration of white matter (WM) integrity in older adults remains unknown.

In the UK Biobank data, we conducted a multivariate analysis to investigate the interactions between APOE4 and 249 plasma metabolites (measured using nuclear magnetic resonance spectroscopy) with whole-brain WM integrity (measured by diffusion-weighted magnetic resonance imaging) in a cohort of 1,917 older adults (aged 65.0–81.0 years; 52.4% female).

Although no main association was observed between either APOE4 or metabolites with …

The Divergent Responses Of Salinity Generalists To Hyposaline Stress Provide Insights Into The Colonisation Of Freshwaters By Diatoms, Kathryn J. Judy, Eveline Pinseel, Kala M. Downey, Jeffrey A. Lewis, Andrew J. Alverson

Biological Sciences Faculty Publications and Presentations

Environmental transitions, such as the salinity divide separating marine and fresh waters, shape biodiversity over both shallow and deep timescales, opening up new niches and creating opportunities for accelerated speciation and adaptive radiation. Understanding the genetics of environmental adaptation is central to understanding how organisms colonise and subsequently diversify in new habitats. We used time-resolved transcriptomics to contrast the hyposalinity stress responses of two diatoms. Skeletonema marinoi has deep marine ancestry but has recently invaded brackish waters. Cyclotella cryptica has deep freshwater ancestry and can withstand a much broader salinity range. Skeletonema marinoi is less adept at mitigating even mild …