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Introduction To Robotics Systems Assignment 2, Tarek Elderini

AI Assignment Library

An assignment was reformatted with respect to TILT using both Claude 3 and ChatGPT. One of the problems is that whatever pics in the file will not be added to the reformatted file. Also, I asked ChatGPT and Claude 3 to make a comparison between the two created assignments showing the pros and cons for each at the end. It was funny that both agreed that ChatGPT was more professional from the aspect of an engineering assignment. This document contains the original file, the 2 formatted assignments, and the comparison at the end.

Assessing Prevalence Of Blood Parasites And Ranaviruses In Hong Kong Freshwater Turtles, Julia Leung

Lingnan Theses (MPhil & PhD)

Blood parasites and ranaviruses are pathogens that impact freshwater turtles worldwide. Given that native turtle species in Hong Kong are already at a high risk of extinction, their survival becomes even more threatened in the event of a disease outbreak. However, prevalence of these pathogens among the native population in Hong Kong remains unstudied.

In this study, I aim to (1) obtain baseline prevalence data of blood parasites and ranaviruses in Hong Kong freshwater turtles, (2) compare different methods for detecting blood parasites and ranaviruses, (3) evaluate the applicability of using blood parasites as a wildlife forensic tool, assess and …

The Effects Of Intraindividual Factors On Distracted Car Following Behavior In Newly Licensed Teen Drivers, Gabriela Marie Sherrod

All ETDs from UAB

Rear-ending a stopped lead vehicle is the most common motor vehicle crash (MVC) scenario among all drivers. However, novice teen drivers experience a higher rate of rear-end MVCs relative to experienced adults. Given that MVC risk among novice teen drivers is at its highest during the first three months of licensure, it is especially relevant to better understand car following behaviors of novice teen drivers during this critical developmental window, as well as factors that may affect a teen’s attentional capabilities. The present study examined how recently-licensed teens negotiated a simulated car following task with and without cellular phone distractions. …

Optimization And Machine Learning Techniques For Analyzing Spatiotemporal Dynamics, Dipak Prasad Dulal

All ETDs from UAB

In a numerical context, the tensor CP decomposition challenge can be reformulated into a series of least squares subproblems, which can be addressed using the renowned Alternating Least Square algorithm (ALS). The ALS algorithm is often characterized by a 'swamp phenomenon' that slows down its convergence, especially when dealing with extensive data structures. One of the goals of our research is to find ways to speed up the convergence of the ALS algorithm. This thesis discusses the use of Canonical Polyadic decomposition techniques and machine learning models in various data-driven domains, such as COVID-19, higher-order images and videos (e.g. RGB …

Non-Invasive Pet Imaging Probes For Immune Activation And Fibrosis In Cancer And Pulmonary Fibrosis, Yujun Zhang

All ETDs from UAB

Immune activation plays an important role in the development and treatment of tumor and fibrotic diseases. Granzyme B is a serine protease granzymes secreted by cytotoxic T cells or natural killer (NK) cells, which induces target cell apoptosis. Measuring granzyme B level is a way to quantify immune activation non-invasively. [68Ga]-NOTA-GZP PET imaging was applied in 4T1 breast cancer mouse model and LLC non-small cell lung cancer mouse model after treated with combination of 12 Gy irradiation and dual checkpoint inhibitors. There was a tumor growth and metastasis inhibition in the combination treatment group. The uptake of [68Ga]-NOTA-GZP on day …

Effect Of Correlation Boundaries On Collinearity And Bias In Ordinary Least Square Regression, Yumo Xue

All ETDs from UAB

Linear regression (LM) stands as one of the prevailing methods used to assess the association between a dependent variable and independent variables, typically estimated using ordinary least squares. However, this approach frequently faces obstacles when applied to biomedical data, due to the issue of correlated independent variables (collinearity). Collinearity is a potential issue in observational studies, where researchers might omit less significant correlated variables from their model. This is often guided by the rule of thumb that a Variance Inflation Factor (VIF) of 10 indicates severe collinearity. Our hypothesis is that relying on this rule of thumb is arbitrary, and …

Biochemical Characterization Of Rna Polymerases Across The Domains Of Life, Stephanie Lois Cooper

All ETDs from UAB

RNA polymerases perform the essential function of RNA synthesis from a DNA template. This process, known as transcription, is critical for all living species and a key point for regulation of gene expression. The function of RNA polymerases allow species from all domains of life to not only survive, but also respond to environmental changes such as heat and nutrient deprivation. In biological taxonomy, the highest classification is domain. The three domains are Eukarya, Bacteria, and Archaea. The domain Eukarya contains all eukaryotic organisms, ranging from yeast, to plants, to metazoans. Bacteria and Archaea are both prokaryotic domains, the species …

Elucidating The Nanoscale Architecture Of The Desmosome, William F. Dean

All ETDs from UAB

Desmosomes are intercellular anchoring junctions that are crucial for maintaining the mechanical integrity of tissues routinely subjected to large forces, such as epithelia and cardiac muscle. Adhesion in desmosomes is mediated by a specialized class of transmembrane glycoproteins known as the desmosomal cadherins (DCs). Defects in desmosomal adhesion are associated with severe disease of the heart and skin and are frequently linked to mutations in the DCs. It is therefore important to understand the relationship between DC architecture and desmosome function. Accordingly, several groups have attempted to elucidate DC architecture—primarily using electron tomography (ET). However, ET studies of the desmosome …

Elementary Cone Photoreceptor Signals In V1 Neurons, Cyril Nyankerh

All ETDs from UAB

Daylight vision is initiated by the activation of cone photoreceptors in the retina in response to light, thereby generating spatial and temporal patterns of photoreceptor signals. Subsequent to this, the signals are combined and processed in downstream neural circuits, ultimately contributing to the formation of receptive fields of neurons in primary visual cortex (V1). Recent advances in adaptive optics (AO) have enabled imaging of the retina with near diffraction limited resolution, allowing for the probing of the visual system's processing at the resolution of individual cones. The central theme of this dissertation characterizes quantitively and qualitatively the physiological responses of …

Symmetric Laminations Of Degree D And Identity Return Triangles In Degree 3, Thomas Sirna

All ETDs from UAB

Laminations of the unit disc were introduced by Thurston in the 1980s as a tool to study the Julia sets and the parameter spaces of complex polynomials. In general, a lamination will be the unit disc D (considered as a subset of the complex plane C, with the boundary of D denoted by S) along with a collection of chords in D that can only intersect at their endpoints on S. We call the chords of a lamination leaves. In most situations we also consider a map σd : S → S on the endpoints of the leaves defined by …

Use Of Molecular Dynamics Simulations To Characterize Structural Interactions Of Protein And Drug In Antiviral Drug Discovery, Caitlin Joan Smith

All ETDs from UAB

Since 2019, the novel coronavirus SARS-CoV-2 the etiological cause of the COVID-19 pandemic has led researchers and physicians to look for effective antiviral treatments as interventions in mitigating COVID-19 disease. The severity of the disease and the limitations of current treatments have led to antiviral drug research beyond currently approved antiviral drugs. Many antivirals exist and are currently approved by the Food and Drug Administration (FDA) for other viral illnesses, yet currently only remdesivir and nirmatrelvir/ritonivir are approved for COVID-19 (October 2020, May 2023, respectively), while molnupiravir is still under emergency FDA use authorization [1, 2, 3]. Here, we have …

Reduced Order Modeling (Rom) Using Machine Learning Techniques For Analyzing Fluid Flow Around A Ground Vehicle, Emmanuel Ong'aro Ramogi

All ETDs from UAB

Predicting wind and temperature fields around military vehicles during extended missions is crucial to avoid detectability by infrared (IR) devices. Also, the abrupt shifting of wind direction can have a significant impact on vehicle stability. This is a challenging task due to the vehicles' geometric complexity and the unpredictable nature of wind direction, which can shift abruptly. Computational Fluid Dynamics (CFD) is routinely used for calculating the flow fields around ground vehicles. However, this requires extensive computational time and memory, making it unsuitable for real-time analysis. To address these challenges, this research focuses on machine learning (ML) techniques for accurate …

A Visual Guide To Balancing Latency And Bandwidth In Mpi All-To-All, Naeris Netterville

All ETDs from UAB

The complex nature of parallel algorithms in the Message Passing Interface (MPI) standard challenges the ability of trivially visualizing them. Within MPI libaries (e.g., MPICH, Open-MPI), there are many collectives that offer different solutions for communicating data between processes. The collective MPI_Alltoall uses various techniques such as the spread-out and Bruck algorithms to have processes transfer data between all processes. Each technique within MPI_Alltoall is best suited for different scenarios. The spread-out algorithm uses a linear number of iterations, in process count P, while the Bruck algorithm is logarithmic. The Bruck algorithm transfers more data overall, but with fewer communication …

Radiotherapy Dose Calculation Algorithm Sensitivity To High-Density Artifacts, Kylie Blue

All ETDs from UAB

Radiotherapy planning can be adversely affected by inaccurate dose calculations due to the presence of high-density objects. High-density objects, such as surgical clips, produce artifacts in CT images which can result in errors in dose calculation. Manual correction of voxels containing incorrect information is recommended to prevent calculation errors, but this process can be cumbersome and sometimes results in planners compromising with crude corrections to save time. In this study we aim to determine the significance of small high-density objects and the artifacts they cause in radiotherapy treatment plans. To evaluate the impact of density overrides on calculations, a phantom …

The Rider (2024-09-09), Natalie Lapsley

The Rider Archives

Vol.10 No.3

Training Robust T1-Weighted Magnetic Resonance Imaging Liver Segmentation Models Using Ensembles Of Datasets With Different Contrast Protocols And Liver Disease Etiologies, Nihil Patel, Adrian Celaya, Mohamed Eltaher, Rachel Glenn, Kari Brewer Savannah, Kristy K Brock, Jessica I Sanchez, Tiffany L Calderone, Darrel Cleere, Ahmed Elsaiey, Matthew Cagley, Nakul Gupta, David Victor, Laura Beretta, Eugene J Koay, Tucker J Netherton, David T Fuentes

Faculty, Staff and Student Publications

Image segmentation of the liver is an important step in treatment planning for liver cancer. However, manual segmentation at a large scale is not practical, leading to increasing reliance on deep learning models to automatically segment the liver. This manuscript develops a generalizable deep learning model to segment the liver on T1-weighted MR images. In particular, three distinct deep learning architectures (nnUNet, PocketNet, Swin UNETR) were considered using data gathered from six geographically different institutions. A total of 819 T1-weighted MR images were gathered from both public and internal sources. Our experiments compared each architecture's testing performance when trained both …

Domain-Based Nucleic-Acid Minimum Free Energy: Algorithmic Hardness And Parameterized Bounds, Erik D. Demaine, Elize Grizzell, Jayson Lynch, Ahmed Shalaby, Timothy Gomez, Markus Hecher, Robert Schweller, Damien Woods

Computer Science Faculty Publications

Molecular programmers and nanostructure engineers use domain-level design to abstract away messy DNA/RNA sequence, chemical and geometric details. Such domain-level abstractions are enforced by sequence design principles and provide a key principle that allows scaling up of complex multistranded DNA/RNA programs and structures. Determining the most favoured secondary structure, or Minimum Free Energy (MFE), of a set of strands, is typically studied at the sequence level but has seen limited domain-level work. We analyse the computational complexity of MFE for multistranded systems in a simple setting were we allow only 1 or 2 domains per strand. On the one hand, …

Designing Organizational Systems To Support Achievement Of Performance Goals In Student Mental Health, Maritza Prieto Rodriguez

Walden Dissertations and Doctoral Studies

Delivering first-rate services that addresses the needs of high school students is crucial to the structural sustainability for a counseling department within a high school setting. A well-planned improvement of the structural profile of a counseling department which supports students seeking mental health assistance will become an important part in capacity building. The focus of this study was to recognize the necessity for creating a specific and successful plan that will support both counselors and students within a high school counseling center. The Baldrige Excellence Framework was used to direct this case study of a behavioral health organization in the …

Analyzing Student Prompts And Their Effect On Chatgpt’S Performance, Ghadeer Sawalha, Imran Taj, Abdulhadi Shoufan

All Works

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link between these strategies and the model’s response accuracy, the existence of individual prompting tendencies, and the impact of gender in this context. Our students used ChatGPT to solve five problems related to embedded systems and provided the solutions and the conversations with this model. We analyzed the …

A Case Demonstration Of The Open Health Natural Language Processing Toolkit From The National Covid-19 Cohort Collaborative And The Researching Covid To Enhance Recovery Programs For A Natural Language Processing System For Covid-19 Or Postacute Sequelae Of Sars Cov-2 Infection: Algorithm Development And Validation, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Sijia Liu, David A Hanauer, Daniel R Harris, Ramakanth Kavuluru, Rui Zhang, Karthik Natarajan, Nishanth P Pavinkurve, Janos Hajagos, Sritha Rajupet, Veena Lingam, Mary Saltz, Corey Elowsky, Richard A Moffitt, Farrukh M Koraishy, Matvey B Palchuk, Jordan Donovan, Lora Lingrey, Garo Stone-Derhagopian, Robert T Miller, Andrew E Williams, Peter J Leese, Paul I Kovach, Emily R Pfaff, Mikhail Zemmel, Robert D Pates, Nick Guthe, Melissa A Haendel, Christopher G Chute, Hongfang Liu, National Covid Cohort Collaborative, Recover Initiative

Faculty, Staff and Student Publications

BACKGROUND: A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in clinical natural language processing (NLP). While a multitude of approaches to NLP exist, current algorithm development approaches have limitations that can slow the development process. These limitations are exacerbated when the task is emergent, as is the case currently for NLP extraction of signs and symptoms of COVID-19 and postacute sequelae of SARS-CoV-2 infection (PASC).

OBJECTIVE: This study aims to highlight the current limitations of existing NLP algorithm development approaches that are exacerbated by NLP tasks surrounding emergent clinical concepts and …

Integrated Environmental Vulnerability Assessment And Adaptation Strategies For Coastal Areas Under Sustainable Development, Lien-Kwei Chien, Yu-Chi Li, Chia-Feng Hsu

Journal of Marine Science and Technology–Taiwan

This research focuses on the holistic management and environmental vulnerability of coastal areas in Taiwan within the framework of sustainable development. With economic and social growth gravitating towards coastal regions, the strain on the natural environment is increasing. Therefore, discovering a balance between economic progress and environmental conservation is paramount. To decipher the vulnerability of Taiwan's coastal zones, this study first defines ‘Integrated Environmental Vulnerability of Coastal Areas.’Key vulnerability factors were identified across environmental, social, and economic dimensions. Seven core determinants were determined using the Fuzzy Delphi method: biodiversity, coastal erosion, water pollution, population density, population aging, land utilization, and …

Evalution Of The Ability To Infer Tilt Angle And Size Distributions Of Fish Using A Broadband Scientific Echosounder Based On Simulation, Jing Liu

Journal of Marine Science and Technology–Taiwan

The biological information, such as species, size, and tilt angle, is crucial for converting the echo data into biomass information in acoustic surveys. Typically, the information can be obtained through trawl net sampling or underwater camera observations. However, both methods have some limitations. To overcome these limitations, scientists have utilized inversion methods with multi-frequency and broadband echosounders to derive biological information about fish, plankton, and krill. However, evaluating the reliability and accuracy of these inversion methods has been challenging due to the difficulty in obtaining accurate biological information. In this study, a numerical simulation method was used to generate fish …

Models Of Adaptive Behaviour: An Approach Based On State (Review), Raymond J. O'Connor

The Auk

No abstract provided.

How Many Baskets? Clutch Sizes That Maximize Annual Fecundity Of Multiple-Brooded Birds, George L. Farnsworth, Theodore R. Simons

The Auk

No abstract provided.

Energetics Of Toucans, A Barbet, And A Hornbill: Implications For Avian Frugivory, Brian K. Mcnab

The Auk

No abstract provided.

A Manual For Wildlife Radio Tagging, Joshua J. Millspaugh

The Auk

No abstract provided.

Short-Term Effects Of Timber Harvest On Abundance, Territory Characteristics, And Pairing Success Of Ovenbirds In Riparian Buffer Strips, J. Daniel Lambert, Susan J. Hannon

The Auk

No abstract provided.

Fundamentals Of Molecular Evolution, 2nd Edition, Andrew W. Douglas

The Auk

No abstract provided.

Bull's Birds Of New York State, Wayne R. Petersen

The Auk

No abstract provided.

The Evolution Of Avian Breeding Systems, Tamas Szekely

The Auk

No abstract provided.