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An In-Depth Analysis Of Domain Adaptation In Computer And Robotic Vision, Muhammad Hassan Tanveer, Zainab Fatima, Shehnila Zardari, David A. Guerra-Zubiaga

Faculty Articles

This review article comprehensively delves into the rapidly evolving field of domain adaptation in computer and robotic vision. It offers a detailed technical analysis of the opportunities and challenges associated with this topic. Domain adaptation methods play a pivotal role in facilitating seamless knowledge transfer and enhancing the generalization capabilities of computer and robotic vision systems. Our methodology involves systematic data collection and preparation, followed by the application of diverse assessment metrics to evaluate the efficacy of domain adaptation strategies. This study assesses the effectiveness and versatility of conventional, deep learning-based, and hybrid domain adaptation techniques within the domains of …

The Staying Power Of Asbestos Hazards: A Critical Environmental Justice Case Analysis, Emily Qian

Sociology Between the Gaps: Forgotten and Neglected Topics

No abstract provided.

Examining Factors Associated With Covid-19 Full Vaccination Rates Among Healthcare Workers, Carrie Jeanne Vanzant

Walden Dissertations and Doctoral Studies

No abstract provided.

Validation Of Machine Vision And Action Sport Cameras For 3d Motion Analysis Model Reconstruction, John David Johnson, Michael Hales, Randy Emert

Faculty Articles

The study investigated the feasibility of using action sport cameras for motion analysis research. Data acquired from two different marker-based motion capture systems and six different camera combinations were analyzed for motion reconstruction accuracy. Two different calibration procedures were used to determine the influence on marker position reconstruction. Static and dynamic calibration mean merit score differences between the reference and experimental camera systems were 0.4 mm and 1.3 mm, respectively. Angular displacement difference between the reference and experimental camera systems range between 0.1 and 2.0 degrees. A systematic bias (− 0.54 to 0.19 degrees) was determined between the reference and …

An Exploratory Analysis Of Temporal And Spatial Patterns Of Autonomous Vehicle Collisions, Sharareh Kermanshachi, Ronik Ketankumar Patel, Sai Sneha Channamallu, Muhammad Arif Khan, Apurva Pamidimukkala

SAGE Open Access Agreement Publications-Archive

Recent advancements in autonomous vehicle (AV) technology have the potential to reduce road accidents caused by human error. However, to enhance their safety and performance, it is crucial to understand the patterns of AV collisions. This study examines AV collisions by analyzing their temporal and spatial patterns. Based on reports from the California DMV between 2014 and 2022, the analysis reveals that rear-end collisions are the most common type, while incidents involving pedestrians and overturned vehicles are rare. The majority of collisions involve mid-sized vehicles, and AVs are responsible for a minority of accidents. The study also identifies clusters of …

Towards Sustainable Equine Welfare: Comparative Analysis Of Machine Learning Techniques In Predicting Horse Survival, Mahmoud Ismail

Sustainable Machine Intelligence Journal

Promoting sustainable equine welfare is pivotal in ensuring the well-being of horses, particularly concerning their survival based on past medical conditions. This study presents a comprehensive comparative analysis of various machine learning techniques employed to predict the survival prospects of horses using historical medical data. By leveraging a dataset encompassing diverse medical attributes and survival outcomes, this research assesses the efficacy and comparative performance of distinct machine learning algorithms. The study delves into the application of supervised learning models, including but not limited to decision trees, random forests, support vector machines, and neural networks, in predicting equine survival. Evaluative metrics …

The Zircon, November 29, 2023 [Spoof Issue], Dordt University

Dordt Diamond

No abstract provided.

Advancements In Molten Salt Physical Property Measurement: Archimedean Density, Couette Viscometer, And Flibe-Te Solution Penetration Analysis, Kent Powell Detrick

Theses and Dissertations

This work primarily centers on measuring the physical properties of molten salts. It's dedicated to outlining the methodology, enhancing measurement methods, and scrutinizing data to uncover insights regarding the interaction between molten salt and solid structures in the context of designing and generating electrical energy in molten salt reactors. The initial phase of this research involved collaborating with Brigham Young University's molecular dynamics simulation group to create an Archimedean density measurement device. This endeavor was primarily geared towards generating empirical data for the purpose of enhancing molecular dynamics simulation data. The tasks encompassed designing and validating the experimental setup, with …

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2024 Update, Butte Mine Flooding Operable Unit, Quality Assurance Project Plan, Ver 3, And Crosswalk, Ted Duaime

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Strategies For Optimizing Plasmonic Grating Couplers With A Topology-Based Inverse Design, Michael Efseaff, Mark C. Harrison

Engineering Faculty Articles and Research

Numerical simulations have become a cornerstone technology in the development of nanophotonic devices. Specifically, 3D finite-difference time domain (FDTD) simulations are widely used due to their flexibility and powerful design capabilities. More recently, FDTD simulations in conjunction with a design methodology called inverse design has become a popular way to optimize device topology, reducing a device’s footprint and increasing performance. We implement a commercial inverse design tool to generate complex grating couplers and explore a variety of grating coupler design methodologies. We compare the conventionally designed grating couplers to those generated by the inverse design tool. Finally, we discuss the …

Loss Of The Methylarginine Reader Function Of Snd1 Confers Resistance To Hepatocellular Carcinoma, Tanner Wright, Yalong Wang, Sabrina A Stratton, Manu Sebastian, Bin Liu, David G Johnson, Mark T Bedford

Faculty, Staff and Student Publications

Staphylococcal nuclease Tudor domain containing 1 (SND1) protein is an oncogene that 'reads' methylarginine marks through its Tudor domain. Specifically, it recognizes methylation marks deposited by protein arginine methyltransferase 5 (PRMT5), which is also known to promote tumorigenesis. Although SND1 can drive hepatocellular carcinoma (HCC), it is unclear whether the SND1 Tudor domain is needed to promote HCC. We sought to identify the biological role of the SND1 Tudor domain in normal and tumorigenic settings by developing two genetically engineered SND1 mouse models, an Snd1 knockout (Snd1 KO) and an Snd1 Tudor domain-mutated (Snd1 KI) mouse, whose mutant SND1 can …

Functional Analysis Of Recurrent Cdc20 Promoter Variants In Human Melanoma, Paula M Godoy, Abimbola Oyedeji, Jacqueline L Mudd, Vasilios A Morikis, Anna P Zarov, Gregory D Longmore, Ryan C Fields, Charles K Kaufman

2020-Current year OA Pubs

Small nucleotide variants in non-coding regions of the genome can alter transcriptional regulation, leading to changes in gene expression which can activate oncogenic gene regulatory networks. Melanoma is heavily burdened by non-coding variants, representing over 99% of total genetic variation, including the well-characterized TERT promoter mutation. However, the compendium of regulatory non-coding variants is likely still functionally under-characterized. We developed a pipeline to identify hotspots, i.e. recurrently mutated regions, in melanoma containing putatively functional non-coding somatic variants that are located within predicted melanoma-specific regulatory regions. We identified hundreds of statistically significant hotspots, including the hotspot containing the TERT promoter variants, …

Blobcut: A Contrastive Learning Method To Support Small Blob Detection In Medical Imaging, Teng Li, Yanzhe Xu, Teresa Wu, Jennifer R Charlton, Kevin M Bennett, Firas Al-Hindawi

2020-Current year OA Pubs

Medical imaging-based biomarkers derived from small objects (e.g., cell nuclei) play a crucial role in medical applications. However, detecting and segmenting small objects (a.k.a. blobs) remains a challenging task. In this research, we propose a novel 3D small blob detector called BlobCUT. BlobCUT is an unpaired image-to-image (I2I) translation model that falls under the Contrastive Unpaired Translation paradigm. It employs a blob synthesis module to generate synthetic 3D blobs with corresponding masks. This is incorporated into the iterative model training as the ground truth. The I2I translation process is designed with two constraints: (1) a convexity consistency constraint that relies …

Renewable Energy Integration Strategy Development For Dubai South, Oshba Almheiri

Theses

Dubai South is an aerotropolis city, a global aviation and logistics hub, home to the world’s largest airport, Al Maktoum International Airport (DWC). Along with such growth, a high demand of energy is expected therefore in response to address such need for the implementation of sustainable energy practices in Dubai South’s aviation, logistics, and residential districts. The development of an integrated renewable energy strategy for the region is the subject of this capstone project. The project relies on three pillars; first environmental impact to battle climate change, secondly alignment with local and international standards like as the UN Sustainable Development …

Viability Of Rental Chillers For The Gcc Region By Using Uae As A Baseline, Kenaz Thomas George

Theses

The HVAC industry in the UAE is a lucrative business, with five companies operating in the UAE, two of which are major players in the market. COMPANY-X, is one of two and it is a multi-million-dollar company headquartered in the USA. The company has franchises in Dubai and Abu Dhabi, along with several dealerships across the country. Despite considering entering the rental market for the past six years, however, it remained just an idea until the outbreak of the COVID-19 pandemic in 2022. The pandemic resulted in a surge in demand for rental services, specifically in the testing and vaccination …

Study Of Radon Concentrations In Some Of Public Ground Water Wells, Sana'a - Yemen, Ahmed Khalid Abdul-Rahim, Najwa Ahmed Al-Maqtari

Hadhramout University Journal of Natural & Applied Sciences

This study aims to assess radon-222 concentration levels in public ground water wells in Sana'a city, Yemen. Forty-three well water samples were collected from the study area. The alpha spectroscopy method was used to measure the samples using a RAD7 detector. The radon concentrations were in the range from 0.82 ± 0.38 Bq/L to 38.73 ± 2.98 Bq/L. A moderate correlation of radon levels with aquifer type was observed. Also, weak correlations of radon levels with electric conductivity, pH, and temperature, and no correlation with measured heavy metals were observed. Annual effective dose rates () were calculated and were found …

Urgensi Perlindungan Data Pribadi Pada Sistem Elektronik Untuk Anak Di Bawah Umur Di Indonesia Serta Perbandingan Regulasi Dengan Uni Eropa (General Data Protection Regulation), Dzikrina Laili Kusumadewi, Akhmad Budi Cahyono

Lex Patrimonium

Childrens are inseparable from using technology. Using this technology also has a negative impact, which is misuse of one's personal data. This threat is quite troublesome, especially for children, in the eyes of the law, that are considered as incompetent individuals. Unfortunately, Regulation Number 27/2022 concerning Personal Data Protection does not regulate and explain in detail the protections that children can get for the security of their personal data. Therefore, this research will discuss child regulations, sanctions, and compensation in protecting personal data; child rights provisions; and the comparison. The aim is to provide an explanation of what provisions have …

Spatial And Temporal Variations Of Microplastics Within Humboldt Bay, California, Isabelle M. Marcus, Tamara B. Barriquand, Rebecca M. Thompson, Bennett C. Hosselkus, Cole T. Hutson, Michael Jacobs, Connor Mcneil, Leah Newton, Stephanie M. Olivarez, Jeffrey Abell

CSU Journal of Sustainability and Climate Change

This study aimed to quantify microplastic (MP) concentration and analyze the spatial and temporal variabilities of the concentrations during the tidal cycle in Humboldt Bay, California. To get an approximation of MP concentration, both water and sediment samples were taken at five different stations, twice during one tidal cycle. Sampling was conducted during two different cruises, on the 19th and 21st of September 2020. The samples were processed in the lab using a density separation procedure and filtration. MP concentrations in the different samples were determined using an average optical microscopy count. Comparison of the water column MP concentrations during …

Science And Solutions For A Warming World, Kim Cobb

Sustainability Seminar Series

Kim Cobb, Director, Institute at Brown for Environment and Society and Professor, Dept of Earth, Environmental, and Planetary Sciences & Environment and Society, Brown University, presents this week's seminar.

The Negative Stigma Surrounding Mathematics, Marissa A. Greisen

PSU McNair Scholars Online Journal

There is a negative stigma that surrounds mathematics in our education system. It is important to bring notice to this for the benefit of future students. There is a lot of research claiming that math is looked down on, but they do not answer why, or what we can do to fix it. Why is there a greater negative stigma around math and not other subjects? What roles to teachers, parents, and peers play in this stigma? In this article, I created a survey for people to answer questions regarding their opinion on math, who they believe typically does well …

Contemporary Library Censorship Tactics: Reviewing The Literature, Lex Faller

PSU McNair Scholars Online Journal

Library censorship efforts in the U.S. have broken records annually since 2021, spurred by social, technological, and political developments. These censorship efforts most frequently target diverse media representing Black, Indigenous, and people of color (BIPOC) and/or lesbian, gay, bisexual+, trans+, queer, intersex, and asexual+ (LGBTQIA+) communities in and at libraries. The current surge in attempts to censor library materials constitutes part of a greater conservative political strategy in the contemporary culture wars. This literature review analyzes the academic and professional literature alongside the gray literature regarding these censorship efforts to make sense of these trends. By investigating bodies of knowledge …

E-Vehicles Emergency Volumetric Flow Pump With Wheel Speed/E-Machine Speed For Towing Function, Konrad Hirschbeck

Defensive Publications Series

No abstract provided.

Continual Learning System With Sentence Embeddings, Anonymous

Defensive Publications Series

Recent improvements in computing power and ambient technologies have opened up new perspectives in ambient intelligence and proactive software systems. The need emerges for an ambient and supportive system that deeply understands the user's needs and preferences under the current context. In this work, we propose a recommendation system that aggregates and understands the current situation and continuously learns from the user’s decision history. To leverage a rich pool of contextual data, the system dynamically changes the strategy and scope for contextualization and encodes multimodal data into unified embeddings. A contextual similarity database consisting of these embeddings is leveraged for …

The Level Of Job Security Among Public School Teachers In The Bani Obaid District, Raya Gharram, Nouwar Al-Hamad

Jordan Journal of Applied Science-Humanities Series

This study aimed to identify the level of job security among public school teachers in the Bani Obeid District from their perspective. The descriptive survey method was utilized due to its relevance to the study's objectives, and a sample of 357 male and female teachers was chosen using the simple random method. To achieve the study's objectives, a questionnaire consisting of 24 items was developed to measure the level of job security among teachers. The results indicated that the level of job security for public school teachers in the Bani Obeid District was high. Additionally, the results showed no statistically …

The Degree Of Using Cloud Computing Applications In The E-Learning Environment And Its Obstacles For Secondary School Students In The Capital Amman Governorate From The Viewpoint Of Their Teachers, Rehab Ibrahim, Fawaz Shehadeh

Jordan Journal of Applied Science-Humanities Series

This study aimed to reveal the extent of cloud computing application usage in the e-learning environment and the obstacles faced by secondary school students in the Capital Governorate of Amman from the perspective of their teachers. The study adopted a descriptive survey method, and a questionnaire, comprising 30 items, was developed to collect data. This questionnaire consisted of two parts: the first to measure the extent of cloud computing application usage in the e-learning environment for secondary school students in the Amman governorate, and the second to identify obstacles related to cloud computing applications in the e-learning environment. The validity …

The Effect Of Employing Artificial Intelligence Tools In Dry Laboratories On Laboratory Performance Skills And Anxiety Levels From The Perspective Of Secondary School Students, Osamah Al-Dalalah

Jordan Journal of Applied Science-Humanities Series

This study aimed to identify the effect of employing artificial intelligence tools in dry laboratories on laboratory performance skills and anxiety levels from the perspective of secondary school students. The study sample consisted of 104 secondary school students in Madinah, and it included two types of variables: An independent variable, which is the use of artificial intelligence tools in dry laboratories, and dependent variables, which are laboratory performance skills and laboratory performance anxiety. The results showed a significant impact of employing artificial intelligence tools in dry laboratories on developing laboratory performance skills and reducing the level of laboratory performance anxiety. …

Offenseval 2023: Offensive Language Identification In The Age Of Large Language Models, Marcos Zampieri, Sara Rosenthal, Preslav Nakov, Alphaeus Dmonte, Tharindu Ranasinghe

Natural Language Processing Faculty Publications

The OffensEval shared tasks organized as part of SemEval-2019-2020 were very popular, attracting over 1300 participating teams. The two editions of the shared task helped advance the state of the art in offensive language identification by providing the community with benchmark datasets in Arabic, Danish, English, Greek, and Turkish. The datasets were annotated using the OLID hierarchical taxonomy, which since then has become the de facto standard in general offensive language identification research and was widely used beyond OffensEval. We present a survey of OffensEval and related competitions, and we discuss the main lessons learned. We further evaluate the performance …

Chapin Church Council Minutes 2014, Chapin United Methodist Church

Methodist Local Church Records

No abstract provided.

Chapin Church Council Minutes 2015, Chapin United Methodist Church

Methodist Local Church Records

No abstract provided.