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Articles 41401 - 41430 of 715199
Full-Text Articles in Entire DC Network
Research On Ship Track Prediction Based On Ipso-Cnn, Xiangen Bai, Nuo Chen, Xiaofeng Xu
Research On Ship Track Prediction Based On Ipso-Cnn, Xiangen Bai, Nuo Chen, Xiaofeng Xu
Journal of Marine Science and Technology–Taiwan
With the rapid development of the global economy, international imports and exports have become increasingly important. Timely and effective tracking and prediction of ship trajectories are important in the face of complex maritime traffic. Based on AIS data, this study establishes a ship trajectory prediction model combining improved particle swarm optimization (IPSO) and a convolutional neural network (CNN) that uses the ship's historical navigation trajectory data to predict the future navigation trajectory. The historical ship trajectory data of the Port of Ningbo-Zhoushan were selected for the experiment, and the IPSO-CNN model experiment results were compared with those of other models. …
Using Secreted Biomarkers In The Development Of The Detection Of Advanced Cancer Screening System, Elaine Vanterpool
Using Secreted Biomarkers In The Development Of The Detection Of Advanced Cancer Screening System, Elaine Vanterpool
Student Posters
An estimated 20 million people globally develop cancer every year. Furthermore, over 9.7 million people die from cancer. The best prognosis of cancer occurs when detected early. Cancer, in its early stages, usually does not display clinical symptoms and is usually not detectable by symptoms and is diagnosed later. The goal of the D.A.C.S. is to provide a screen that can detect cancer. It is hypothesized that developing a cancer detection system/technology, named D.A.C.S. (Detection of Advanced Cancer Screening) system, can help with early cancer detection, while still being affordable for the general public.
Automated Sponge Segmentation With Mask R-Cnn On Arms Plate Images For Reef Monitoring, Mrunali Abhijit Thokadiwala
Automated Sponge Segmentation With Mask R-Cnn On Arms Plate Images For Reef Monitoring, Mrunali Abhijit Thokadiwala
Master's Projects
Climate change-driven ocean warming and acidification are disrupting the ecological balance of coral reefs. Notably, these oceanic conditions are undermining coral health and accelerating their decline which is favoring some sponge species in outcompeting them for dominance. Although functional, these altered reefs destabilize the reef architecture, hinder nutrient cycling, and support fewer marine species. Thus, monitoring the growth and abundance of various sponges and understanding their roles at different stages of ecological succession in coral reefs is vital. Autonomous reef monitoring structures (ARMS) are often used for this purpose, but manual taxonomic analysis using their images is time-consuming, inconsistent and …
Comparative Analysis Of Embedding Techniques With Clustering Algorithms For Malware Opcodes, Ayush Koul
Comparative Analysis Of Embedding Techniques With Clustering Algorithms For Malware Opcodes, Ayush Koul
Master's Projects
Malware detection and classification remain critical challenges in cybersecurity, especially as malicious software becomes increasingly sophisticated and prevalent. While much of the work involving embeddings has traditionally relied on supervised learning approaches, there is significant potential in leveraging unsupervised learning techniques to discern hidden structures in malware data. By employing embedding techniques to convert malware samples into high-dimensional vector representations, we can capture the subtle and complex patterns inherent in malicious code without relying on pre-labeled data. This unsupervised approach helps categorize malware into predefined malware families, greatly aiding in developing cybersecurity solutions. In contrast to traditional supervised models that …
Gen Ai For Malicious Network Data, Aneesh Maturu
Gen Ai For Malicious Network Data, Aneesh Maturu
Master's Projects
Though botnet attacks are on the rise, they also have become sophisticated and difficult to detect. Such a rising threat demands more and more sophisticated cybersecurity that leverages machine learning technology. Nevertheless, one of the biggest bottlenecks remains the unavailability of large and well-balanced datasets, particularly for malicious traffic, which hampers the efficacy of detection models. In an attempt to address this issue, our research utilizes Generative Adversarial Networks (GANs) to produce synthetic samples of botnet traffic from the CTU-13 dataset. While the majority of generative models have been targeting image data, we use GANs for a new application: generating …
A Geometric Characterization Of N-Graded Manifolds And The Frobenius Theorem, Henrique Bursztyn, Miquel Cueca, Rajan Amit Mehta
A Geometric Characterization Of N-Graded Manifolds And The Frobenius Theorem, Henrique Bursztyn, Miquel Cueca, Rajan Amit Mehta
Mathematics Sciences: Faculty Publications
This paper studies graded manifolds with local coordinates concentrated in non-negative degrees. We provide a canonical description of these objects in terms of classical geometric data and, building on this geometric viewpoint, we prove the Frobenius theorem for distributions in this graded setting.
40 Years Passing By In (A) “Heartbeat”, Christopher Janney
40 Years Passing By In (A) “Heartbeat”, Christopher Janney
Monsoon: South Asian Studies Association Journal
This article outlines the forty-year history go Christopher Janney’s iconic performance work “HeartBeat.” Trained as an architect and jazz musician, Janney combines these two disciplines to create large interactive light/sound installations and performances. On the one hand, he attempts to make architecture more like music, more “alive” using real-time sensing devices as on his “Harmonic Convergence” installation on the Miami International Airport. On the other hand, he attempts to make music more like architecture, more physical more visual. In his “HeartBeat” performance, a dancer wears a heartbeat device that amplifies his/her heartbeat in “real time.” Over this pulse, live musicians …
Yoga Sūtra Book Four And The Yogabindu, Christopher Key Chapple
Yoga Sūtra Book Four And The Yogabindu, Christopher Key Chapple
Monsoon: South Asian Studies Association Journal
Four themes from the fourth pāda of Patañjali’s Yoga Sūtra are examined here: karma (IV:2-13), individuality (IV:16), humility (IV:20-22), and freedom (IV:29-34). Affirmations and variant interpretations of these four are provided from Haribhadra Virahāṅka’s Yogabindu, most likely composed a century or two later.
Collective Karma: From The Yogasūtra To Taylor Swift, Zoë Slatoff
Collective Karma: From The Yogasūtra To Taylor Swift, Zoë Slatoff
Monsoon: South Asian Studies Association Journal
The Indian knowledge traditions speak at length about karma, which is divided into three categories—accumulated (saṃcita), ripe (prārabdha), and future (kriyamāṇa). While much is said about our individual karma and how it affects our repeated reincarnation in cyclic existence, how does this affect others and how do others affect us? In other words, as this paper explores, what is our reciprocal and collective karma?
Painting Liberation: A Visual Ontology Of The Interplay Of Mind And Consciousness In Book Four Of The Yoga Sūtras, Melissa Townsend
Painting Liberation: A Visual Ontology Of The Interplay Of Mind And Consciousness In Book Four Of The Yoga Sūtras, Melissa Townsend
Monsoon: South Asian Studies Association Journal
This presentation explores how artistic practice can illuminate philosophical questions about the nature of mind, consciousness, and liberation as articulated in Book Four of the Yoga Sūtras of Patañjali. Through a series of paintings that visually translate these sūtras, I propose that art offers a unique, experiential means of engaging with the complex relationship between citta (mind) and puruṣa (consciousness).
The paintings function as a form of “visual ontology,” inviting viewers to engage with abstract philosophical concepts in a sensory, tangible way. By depicting the interplay between the mutable processes of the mind and the unchanging awareness of consciousness, these …
Runner Locating With Multiple Probes, Kola Akinrele, Axel Brandt, Elizabeth Breen, Catherine Erbes, Matthew Lee, Patrick O’Doherty, Weston Rainer
Runner Locating With Multiple Probes, Kola Akinrele, Axel Brandt, Elizabeth Breen, Catherine Erbes, Matthew Lee, Patrick O’Doherty, Weston Rainer
2025 Faculty Bibliography
In the runner locating variation of cops and robbers on a graph, a chaser attempts to locate an invisible runner by probing a single vertex v each turn, from which the chaser learns the runner’s distance. The runner is then permitted to stay at his current vertex or move to an adjacent vertex other than v. A graph is locatable if the chaser is able to locate the runner in a finite number of turns, and the location number of a graph is the minimum number of turns necessary to determine the runner’s location regardless of the runner’s evasion strategy. …
Elucidating Non-Canonical Interactions Of Mcl1 With The P53 Family Of Tumor Suppressors, Alexus Marie Acton
Elucidating Non-Canonical Interactions Of Mcl1 With The P53 Family Of Tumor Suppressors, Alexus Marie Acton
All ETDs from UAB
Various signaling mechanisms contribute to a cancers cell’s ability to survive through the stressors of tumorigenesis. Canonically, when a cell is exposed to irreversible stress, the induction to apoptosis is regulated by the Bcl-2 family of apoptotic regulators. However, to accommodate for the stressors of tumor progression, many solid tumors over express one of the pro-survival proteins (e.g., BCL2, BCLxL, MCL1) allowing for persistent growth without the induction to cell death. Over the past 10 years, researchers have investigated how over expression of these pro-survival proteins contribute to chemoresistance to standard of care therapies. To sensitize cells to these apoptotic …
Therapeutic Implications Of Fractionated Radiotherapy And Marcks’ Regulation Of Tunneling Nanotubes In Glioblastoma, Lauren Catherine Nassour-Caswell
Therapeutic Implications Of Fractionated Radiotherapy And Marcks’ Regulation Of Tunneling Nanotubes In Glioblastoma, Lauren Catherine Nassour-Caswell
All ETDs from UAB
Glioblastoma (GBM) is the most common primary brain malignancy in adults and the gradual development of treatment resistance prevents patients from achieving remission. A primary objective in the field is to devise strategies to overcome this. We predicted this could be achieved by improving existing therapies, creating better models to study GBM, and by identifying a potential therapeutic target. Fractionated radiotherapy (RT) has been used in GBM standard of care for over a century but does not account for GBM heterogeneity. We first hypothesized that in silico mathematical modeling would be a useful tool for cytotoxicity prediction. While this model …
Investigating Risk Of Suboptimal Hiv Treatment Outcomes (Treatment Failure And Disengagement) Among Pregnant And Postpartum Women Living With Hiv, Kevin Owuor
All ETDs from UAB
The joint United Nations Programme on HIV/AIDS (UNAIDS) has set targets to end the HIV epidemic by improving HIV diagnosis, treatment, and viral suppression to reduce new infections and improve health outcomes for people living with HIV (PLHIV), including pregnant and postpartum women living with HIV (PPWH). After diagnosis, linking PPWH to antiretroviral (ART) treatment is critical to suppress the virus and prevent mother-to-child transmission (MTCT) of HIV. Continuous engagement in care is essential for achieving and maintaining virologic suppression in the peripartum and postpartum period for PPWH, both for their own health and the health of their family. Disengagement …
Radioactive Seed Localization For The Resection Of Nonpalpable Breast Lesions, Katherine Ward
Radioactive Seed Localization For The Resection Of Nonpalpable Breast Lesions, Katherine Ward
All ETDs from UAB
Accurate localization of malignant tissues is critical in breast cancer treatment to ensure effective therapy while minimizing damage to surrounding healthy tissues. Radioactive seed localization, specifically using Iodine-125 (I-125), is a prominent method due to its precision and minimally invasive nature. However, this technique poses a risk of radiation exposure to adjacent healthy tissues. This study aims to quantify the radiation dose to healthy breast tissue from I-125 seed implantation by employing two distinct computational approaches: a hemisphere breast model in MATLAB and Monte Carlo simulations in Mathematica. The American Association of Physicists in Medicine (AAPM) Task Group 43 (TG- …
Atomic Physics For Everyone: An Introduction To Atomic Physics, Quantum Mechanics, And Precision Spectroscopy With No College-Level Prerequisites, Will Raven
Open Educational Resources: Textbooks
This open access textbook introduces beginning undergraduate students and high school students to the world of quantum mechanics and atomic spectroscopy. Requiring no previous knowledge of physics and no math beyond basic algebra and sines and cosines, this book focuses on concepts to make the excitement of atomic physics more accessible for learners than ever before. It comes replete with learning goals, exercises and solutions, and an optional experimental component, making this text readily adoptable for both the classroom and the undergraduate lab. The book takes the reader on a lively and engaging tour through topics at the forefront of …
Learning And Belonging In A Museum-School Environmental Stewardship Partnership, Joanna K. Garner, Mel Kuhn, Andrea M. Rocchio, Grace Friedenreich
Learning And Belonging In A Museum-School Environmental Stewardship Partnership, Joanna K. Garner, Mel Kuhn, Andrea M. Rocchio, Grace Friedenreich
Center for Educational Partnerships Publications
Students in urban, low-income communities can lack access to environmental science outreach in natural settings. As a result, they may face barriers to applying course content to real-world contexts and developing an agentic, hopeful stance towards environmental stewardship. In this paper, we describe a partnership between a maritime museum and park, an urban school district, and ecology experts. The project aimed to increase students’ knowledge of aquatic ecosystems, develop awareness of stewardship-related actions and career pathways, and support a sense of belonging to the museum. Activities included classroom visits by experts, field trips to plant classroom-grown grasses in the museum’s …
Computer Science For Middle School (Cs4ms), Melani Loney, Lisa Steffian, Tancy J. Vandecar-Burdin
Computer Science For Middle School (Cs4ms), Melani Loney, Lisa Steffian, Tancy J. Vandecar-Burdin
Center for Educational Partnerships Publications
This session will discuss the project Computer Science for Middle School and the associated findings. This Virginia Department of Education funded project provides computer science Professional Development opportunities for in-service teachers, located in Southeastern Virginia, who instruct students in middle school grades 6- 8. Participating teachers learn to integrate computer science standards into core and elective content through online, asynchronous microcredentials and in-person Summer Workshops. The presentation will include project findings and next steps including teacher efficacy for implementing the computer science standards before and after completing the microcredentials and their students’ attitudes about computer science.
Editorial: Invention Education And Stem: Perspectives And Possibilities, Joanna K. Garner, Shiri D. Gandhi, Adam V. Maltese
Editorial: Invention Education And Stem: Perspectives And Possibilities, Joanna K. Garner, Shiri D. Gandhi, Adam V. Maltese
Center for Educational Partnerships Publications
[Introduction] Generating solutions for society's complex problems requires a diverse workforce dedicated to technological and social innovation, and sustained efforts toward invention: the process of creating new, novel, and useful products to overcome challenges that affect quality of life and productivity (Couch et al. 2019). Historically, opportunities for K-12 students to develop inventive acumen have been rare and inequitably distributed, partly because educators were expected to provide such experiences without the support of professional development, curricular materials, and instructional examples. These issues have become the focus of an emergent field called Invention Education (IvE). IvE uses trans-disciplinary, equity-oriented …
Rings With Q-Torsionfree Canonical Modules, Naoki William Endo, Laura P. Ghezzi, Shiro S. Goto, Jooyoun Hong Phd, Shin-Ichiro Iai, Toshinori Kobayashi, Naoyuki Matsuoka, Ryo Takahashi
Rings With Q-Torsionfree Canonical Modules, Naoki William Endo, Laura P. Ghezzi, Shiro S. Goto, Jooyoun Hong Phd, Shin-Ichiro Iai, Toshinori Kobayashi, Naoyuki Matsuoka, Ryo Takahashi
Publications and Research
Let A be a Noetherian local ring with canonical module K A . We characterize A when K A is a torsionless, reflexive, or q-torsionfree module for an integer q ≥ 3 . If A is a Cohen–Macaulay ring, H.-B. Foxby proved in 1974 that the A-module K A is q-torsionfree if and only if the ring A is q-Gorenstein. With mild assumptions, we provide a generalization of Foxby’s result to arbitrary Noetherian local rings admitting the canonical module. In particular, since the reflexivity of the canonical module is closely related to the ring being Gorenstein …
Clarification Of Public Health Pathways Toward Clinical Careers: A Pilot Study Describing A Benchmark Analysis Project, Elizabeth A. Brown, Melissa Feliciano, Daniel Martinez
Clarification Of Public Health Pathways Toward Clinical Careers: A Pilot Study Describing A Benchmark Analysis Project, Elizabeth A. Brown, Melissa Feliciano, Daniel Martinez
Health Behavior, Policy & Management Faculty Publications
Introduction: Undergraduate public health programs have adapted the required basic sciences based on medical and technological advances and the needs of the public health workforce. We aim to demonstrate how a benchmark analysis project was used to improve curriculum and develop a model where basic sciences in public health can be used to build pathways to clinical graduate programs like medicine, pharmacy, physician assistant, etc.
Methods: Authors conducted a benchmark analysis of Bachelor of Science in Public Health (BSPH) Degrees (or public health-related degrees) in the southern region of the United States (US) to explore required basic sciences. Authors searched …
Disparities Between Reported And Actual Study Habits And Perceptions Among First Year Occupational Therapy Graduate Students, Melisa P. Kaye, Marcella Mccollum, Sydney Hanzalik
Disparities Between Reported And Actual Study Habits And Perceptions Among First Year Occupational Therapy Graduate Students, Melisa P. Kaye, Marcella Mccollum, Sydney Hanzalik
Journal of Occupational Therapy Education
Studying for exams forms a significant part of the occupational therapy graduate school experience. While successful completion of exams is a central focus for students, little time is devoted to explicitly teaching new graduate students how to most effectively study. Instead, when they enter their occupational therapy programs, students experience a steep learning curve, and often rely on previous habits or trial and error to discover the most efficacious study strategies. The purpose of this study was to examine the study behaviors, habits, and beliefs of new graduate students to gain insight into the prevalence of use of various study …
Error In The Loop: How Human Mistakes Can Improve Algorithmic Learning, Ryan W. Copus, Cait Spackman, Hannah Laqueur
Error In The Loop: How Human Mistakes Can Improve Algorithmic Learning, Ryan W. Copus, Cait Spackman, Hannah Laqueur
Faculty Works
Algorithms often outperform humans in making decisions, in large part because they are more consistent. Despite this, there remains widespread demand to keep a “human in the loop” to address concerns about fairness and transparency. Although evidence suggests that most human overrides are errors, we argue these errors can provide value: they generate new data from which algorithms can learn. To remain accurate, algorithms must be updated over time, but data generated solely from algorithmic decisions is biased, including only cases selected by the algorithm (e.g., individuals released on parole). Training on this algorithmically selected data can significantly reduce predictive …
Using A Token Economy In A First-Grade Classroom To Increase On-Task Behavior, Ana Kesler, Emma Preston, Milad Najafichaghabouri, Kristen R. Rolf
Using A Token Economy In A First-Grade Classroom To Increase On-Task Behavior, Ana Kesler, Emma Preston, Milad Najafichaghabouri, Kristen R. Rolf
Special Education and Rehabilitation Counseling Faculty Publications
Token economies are an adaptable intervention used effectively in many settings to improve behavior, including schools. When used in schools, students are often given a board or chart on which to collect tokens (i.e., small items or marks) for desired behavior(s). Tokens are then exchanged for students’ preferred rewards. This chapter presents a case study of token economies implemented with five students who were unresponsive to class-wide (Tier 1) strategies in a general education first-grade classroom. The intervention was designed and implemented by a paraeducator who worked collaboratively with the classroom teacher to select students, develop intervention procedures, collect and …
Implementing Reading Mastery As A Component Of Tiered Literacy Instruction, Kristen R. Rolf, Peter Ehlen, Teresa Buttars
Implementing Reading Mastery As A Component Of Tiered Literacy Instruction, Kristen R. Rolf, Peter Ehlen, Teresa Buttars
Special Education and Rehabilitation Counseling Faculty Publications
Despite attempts at reform over the decades, many students with and without disabilities in the United States struggle to learn to read. Bear River Charter School is a K-6 public charter school in Utah that has effectively used Reading Mastery Signature Edition to teach most students to read at grade-level by the end of third grade. Data from the 2022-2023 school year show that over 80% of students in kindergarten, over 70% of students in Grades 1 and 2, and over 90% of students in Grade 3 met grade-level reading benchmarks by the end of the year. This chapter describes …
Between Prompt And Page: Writing, Reflection, And The Rise Of A.I. Collaboration, Mallory Bowen
Between Prompt And Page: Writing, Reflection, And The Rise Of A.I. Collaboration, Mallory Bowen
Master's Projects
This Capstone examines how generative AI reshapes the act of writing by treating co-writing itself as a site of inquiry. Using an autoethnographic method, I document my collaboration with ChatGPT across months of drafting, tracing how the model’s predictions influence tone, syntax, and rhetorical choice. The project argues that large language models are not neutral tools but participants in a shared writing process shaped by the linguistic hierarchies embedded in their training data. Through examples of prompting, revision, and negotiation, I show how AI leans toward standardized English, simplifies sentence structure, and reproduces dominant linguistic norms, often in ways that …
Influence Of Multi-Species Data On Gene-Disease Associations In Substance Use Disorder Using Random Walk With Restart Models, Erich J. Baker, Everest U. Castaneda, Sharon Moore, Jason A. Bubier, Stephen K. Grady, Michael A. Langston, Elissa J. Chessler
Influence Of Multi-Species Data On Gene-Disease Associations In Substance Use Disorder Using Random Walk With Restart Models, Erich J. Baker, Everest U. Castaneda, Sharon Moore, Jason A. Bubier, Stephen K. Grady, Michael A. Langston, Elissa J. Chessler
Funded Scholarship
A major challenge lies in discovering, emphasizing, and characterizing human gene-disease and gene-gene associations. The limitations of data on the role of human gene products in substance use disorder (SUD) makes it challenging to transition from genetic associations to actionable insights. The integration of data from multiple diverse sources, including information-dense studies in model organisms, has the potential to address this gap. We demonstrate a modified performance of the Random Walk with Restart algorithm when multi-species data is integrated in the heterogeneous network within the context of SUD. Additionally, our approach distinguishes among disparate pathways derived from the Kyoto Encyclopedia …
Variation In Maternal Alkaloid Provisioning And Its Effects On Antimicrobial Defense In Tadpoles Of The Poison Frog Oophaga Pumilio, Erica Berent
Masters Theses
No abstract provided.
Contemporary Pain Neuroscience Knowledge And Attitudes Among Students: A Cross-Sectional Study, Sue F. Curfman, William J. Best, Molly T. Williams, Kathryn Schmidt, Amy Rasmussen, Gary P. Austin
Contemporary Pain Neuroscience Knowledge And Attitudes Among Students: A Cross-Sectional Study, Sue F. Curfman, William J. Best, Molly T. Williams, Kathryn Schmidt, Amy Rasmussen, Gary P. Austin
Funded Scholarship
Purpose: Healthcare education programs often provide limited training in contemporary pain neuroscience, leaving future professionals ill-prepared to address the pervasive and biopsychosocial problem of chronic pain. Exploration of the level of understanding of contemporary pain neuroscience and the attitudes toward people in pain among university students may help educators identify appropriate roles for students in pain-related interprofessional education. This study assessed and compared knowledge of contemporary pain neuroscience and attitudes and beliefs toward individuals experiencing pain among university students.
Design: Cross-sectional observational study. Methods: 284 undergraduate and graduate, healthcare and non-healthcare students completed the revised Neurophysiology of Pain Questionnaire and …
Genetic Influences On Individual Variability In Western Lowland Gorilla (Gorilla Gorilla Gorilla) Social Behavior, Hadley Mueller-Hill
Genetic Influences On Individual Variability In Western Lowland Gorilla (Gorilla Gorilla Gorilla) Social Behavior, Hadley Mueller-Hill
Master's Theses
While primates are considered highly social animals, the evolutionary origins and mechanisms underlying their social behaviors remain unclear. Not only do they exhibit an extensive range of behaviors, but individuals within the same species can also vary widely in their social interactions. Genetics play a significant role in shaping these individual variations in behavior; multiple genetic variants have been associated with differences in social behavior in mammals. Examples of these include MAOA and OXTR genes, which influence the expression of behaviors associated with antisocial and prosocial temperaments. Genetic polymorphisms affect primate interactions, impacting an individual’s ability to maintain its status …