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Articles 1 - 30 of 241
Full-Text Articles in Physical Sciences and Mathematics
On The Exact Helium Wave Function Expansion, Ii, An Exponential Modulated Form, Carl W. David
On The Exact Helium Wave Function Expansion, Ii, An Exponential Modulated Form, Carl W. David
Chemistry Education Materials
A 11S wave function’s expansion for 2 electron atoms and ions is proposed employing an appropriate exponential factor and Fock’s logarithmic terms. The leading coefficient’s are presented.
Supporting Data For Figures In "Mixing Of The Connecticut River Plume During Ambient Flood Tides: Spatial Heterogeneity And Contributions Of Bottom-Generated And Interfacial Mixing", Michael M. Whitney
Department of Marine Sciences
This archive contains the supporting data for figures in the manuscript "Mixing of the Connecticut River plume during ambient flood tides: Spatial heterogeneity and contributions of bottom-generated and interfacial mixing" by Michael M. Whitney. The objectives of this modeling study are 1) characterizing the spatial heterogeneity of turbulent buoyancy fluxes, 2) partitioning turbulent buoyancy fluxes into bottom-generated and interfacial shear contributions, and 3) quantifying contributions to plume-integrated mixing within the tidal plume. Data are from the Regional Ocean Modeling System (ROMS) results for idealized model configurations. The Zip file (Figure_data.zip) contains MATLAB data files, which are named FigureXX_data.mat. Variable names …
Supporting Data For Figures In "Wind-Enhanced Separation Of Large-Scale River Plumes From Coastal Corners", Michael M. Whitney
Supporting Data For Figures In "Wind-Enhanced Separation Of Large-Scale River Plumes From Coastal Corners", Michael M. Whitney
Department of Marine Sciences
This archive contains the supporting data for figures in the manuscript "Wind-enhanced separation of large-scale river plumes from coastal corners" by Michael M. Whitney. This study analyzes idealized models to quantify how large-scale river plumes and wind-driven currents interact at perpendicular coastal corners. Data are from the Regional Ocean Modeling System (ROMS) results for idealized model configurations. The Zip file (Figure_data.zip) contains MATLAB data files, which are named FigureXX_data.mat. Variable names and units correspond to graphed data of each figure in manuscript. Full descriptions of research methods and results are included in manuscript.
Climate Justice In The Anthropocene And Its Relationship With Science And Technology: The Importance Of Ethics Of Responsibility, Paolo Davide Farah, Alessio Lo Giudice
Climate Justice In The Anthropocene And Its Relationship With Science And Technology: The Importance Of Ethics Of Responsibility, Paolo Davide Farah, Alessio Lo Giudice
Connecticut Law Review
Climate change is a global phenomenon. Therefore, globalization is the necessary hermeneutical horizon to develop an analysis of the metamorphosis climate change could cause at a political, social, and economic level. Within this horizon, this Article shows how the relationship between the concept of the Anthropocene epoch and the request for justice allows for framing a climate-justice and intergenerational equity–focused political interpretation of the effects of climate change. In order to avoid reducing such an interpretation to merely an ideological critique of capitalism, the conception of climate justice needs to be grounded in a rational, ethical model. This Article proposes …
Prioritizing Proximity In Phasing Out Oil And Gas Extraction, Wyatt G. Sassman
Prioritizing Proximity In Phasing Out Oil And Gas Extraction, Wyatt G. Sassman
Connecticut Law Review
To avoid the most catastrophic impacts of climate change, most of the world’s oil and gas reserves must remain in the ground. In the United States, this would require a dramatic phaseout of oil and gas extraction nationwide over the coming decades. How could we accomplish this? While recent legal scholarship emphasizes the importance of a just transition away from oil and gas extraction, little work has been done to navigate the legal, political, and equity hurdles associated with phasing out oil and gas extraction.
This Article seeks to start this conversation by offering one way to approach phaseouts of …
Automatic Identification Of Jetting Behavior In 3d Printing With Binary Classification And Anomaly Detection, Alexander Chandy
Automatic Identification Of Jetting Behavior In 3d Printing With Binary Classification And Anomaly Detection, Alexander Chandy
Honors Scholar Theses
Consistently jetting different materials from the print head of a 3D printer is a key, yet challenging task in manufacturing processes. By using active machine learning, we can efficiently predict complex diagrams that illustrate the region of printing conditions under which “desirable jetting”, “jetting”, and “no jetting” of ink occurs for different substances. However, labeling the images of printed ink droplets that are fed to the active learning model can be time intensive. Therefore, it is ideal to use computer vision to automate the classification of this image data. This classification can be broken down into two steps. In the …
Mapping Galactic Acceleration With Pulsar Timing, Abigail Moran
Mapping Galactic Acceleration With Pulsar Timing, Abigail Moran
University Scholar Projects
We have conducted a cross match of objects in Gaia Early Data Release 3 and millisecond pulsars (MSPs) in the International Pulsar Timing Array’s Data Release 2 (IPTA DR2) to identify binary systems. Gaia has parallax measurements for these optical companions, which we combine with pulsar timing based parallax measurements to calculate new combined MSP distances. Through this crossmatch with IPTA DR2 we improved five distance measurements and found the first parallax measurement for one MSP.
Using this Gaia crossmatch method now with a well-timed subset of the Australia Telescope National Facility’s database, we found three new pulsar distances. We …
Quantitative Analysis Of The Proteomic Selectivity Of Acidic Reductive Alkylation Of Peptides, Connor Jewell
Quantitative Analysis Of The Proteomic Selectivity Of Acidic Reductive Alkylation Of Peptides, Connor Jewell
Honors Scholar Theses
Proteome quantification is a complicated process which takes on many methods, usually involving peptide derivatization and complex mass spectral analysis. Scores of techniques have been utilized to address issues of incomplete quantification. The implementation of IPTL labeling, or isobaric peptide terminal labeling, is a recent addition to the literature, which exploits the supposedly selective labeling of N-termini of tryptic peptides from the C-termini of lysine residues due to differences in basicity. This method has been shown to improve quantitation by reducing spectral complexity and provide more accurate and reproducible results on peptide abundance. Investigations into the selectivity of terminal derivatization …
Uconn Baseball Batting Order Optimization, Gavin Rublewski, Gavin Rublewski
Uconn Baseball Batting Order Optimization, Gavin Rublewski, Gavin Rublewski
Honors Scholar Theses
Challenging conventional wisdom is at the very core of baseball analytics. Using data and statistical analysis, the sets of rules by which coaches make decisions can be justified, or possibly refuted. One of those sets of rules relates to the construction of a batting order. Through data collection, data adjustment, the construction of a baseball simulator, and the use of a Monte Carlo Simulation, I have assessed thousands of possible batting orders to determine the roster-specific strategies that lead to optimal run production for the 2023 UConn baseball team. This paper details a repeatable process in which basic player statistics …
Modeling Accuracy Matters: Aligning Molecular Dynamics With 2d Nmr Derived Noe Restraints, Milan Patel
Modeling Accuracy Matters: Aligning Molecular Dynamics With 2d Nmr Derived Noe Restraints, Milan Patel
Honors Scholar Theses
Among structural biology techniques, Nuclear Magnetic Resonance (NMR) provides a holistic view of structure that is close to protein structure in situ. Namely, NMR imaging allows for the solution state of the protein to be observed, derived from Nuclear Overhauser Effect restraints (NOEs). NOEs are a distance range in which hydrogen pairs are observed to stay within range of, and therefore experimental data which computational models can be compared against. To that end, we investigated the effects of adding the NOE restraints as distance restraints in Molecular Dynamics (MD) simulations on the 24 residue HP24stab derived villin headpiece subdomain to …
Fourier Acceleration In The Linear Sigma Model, Cameron Cianci
Fourier Acceleration In The Linear Sigma Model, Cameron Cianci
Honors Scholar Theses
The linear sigma model is a low energy effective model of Quantum Chromodynamics. This model mimics the breaking of chiral symmetry both spontaneously and explicitly through the quark condensate and pion mass matrix respectively. Fourier acceleration is a method that can be implemented in the Hybrid Monte-Carlo algorithm which decreases autocorrelations due to critical slowing down through tuning the mass parameters in the HMC algorithm. Fourier acceleration is applied to the linear sigma model with a novel mass estimation procedure, by assuming the modes behave approximately like simple harmonic oscillators. The masses are chosen by sampling the expectation values of …
Wrack Lines Volume 22, Number 2, Fall-Winter 2022-2023, Nancy C. Balcom, Juliana Barrett, Judy Benson, Ben Crnic, Sto Len
Wrack Lines Volume 22, Number 2, Fall-Winter 2022-2023, Nancy C. Balcom, Juliana Barrett, Judy Benson, Ben Crnic, Sto Len
Wrack Lines
With the theme, "Looking Ahead: People and Projects Shaping the Future," the Fall-Winter 2022-2023 leads with the first in what will be a series of articles about offshore wind development impacting Connecticut. That is followed by the inspiring story of how a dying forest was replanted for climate resilience. Next, a profile of longtime marine educator Tim Visel tells about his lasting impact on Connecticut schools and students. Lastly, the complex challenge of dealing with Contaminants of Emerging Concern is examined, with descriptions of how Sea Grant is involved and the particularly troublesome group of substances called PFAS.
Supporting Dataset For Observed And Projected Global Warming Pressure On Coastal Hypoxia, Michael M. Whitney
Supporting Dataset For Observed And Projected Global Warming Pressure On Coastal Hypoxia, Michael M. Whitney
Department of Marine Sciences
This archive contains the supporting dataset for the Biogeosciences article “Observed and projected global warming pressure on coastal hypoxia” by Michael M. Whitney. The main objective of the article is studying global patterns exacerbating coastal hypoxia by analyzing linear trends in SST, surface oxygen capacity (saturation concentration), and (vertical-minimum) oxygen concentration. Observations from a satellite-derived SST global climate dataset are analyzed to provide a context of coastal SST and oxygen-capacity trends observed over the last four decades. New analysis of 21st century projections from the Community Earth System Model (CESM) Large Ensemble Project is completed for coastal areas. Observed and …
On The Exact Helium Wave Function Expansion, Carl W. David
On The Exact Helium Wave Function Expansion, Carl W. David
Chemistry Education Materials
A 1S wave function’s expansion for 2 electron atoms and ions is obtained and the leading coefficients are reported.
A Machine Learning And Deep Learning Framework For Binary, Ternary, And Multiclass Emotion Classification Of Covid-19 Vaccine-Related Tweets, Aditya Dubey
Honors Scholar Theses
My research mines public emotion toward the Covid-19 vaccine based on Twitter data collected over the past 6-12 months. This project is centered around building and developing machine learning and deep learning models to perform natural language processing of short-form text, which in our case tweets. These tweets are all vaccine-related tweets and the goal of the classification task is for our models to accurately classify a tweet into one of four emotion groups: Apprehension/Anticipation, Sadness/Anger/Frustration, Joy/Humor/Sarcasm, and Gratitude/Relief. Given this data and the goal of the paper, we aim to answer the following questions: (1) Can a framework be …
Dimension Theory Of Conformal Iterated Function Systems, Sharon Sneha Spaulding
Dimension Theory Of Conformal Iterated Function Systems, Sharon Sneha Spaulding
Honors Scholar Theses
This thesis is an expository investigation of the conformal iterated function system (CIFS) approach to fractals and their dimension theory. Conformal maps distort regions, subject to certain constraints, in a controlled way. Let $\mathcal{S} = (X, E, \{\phi_e\}_{e \in E})$ be an iterated function system where $X$ is a compact metric space, $E$ is a countable index set, and $\{\phi_e\}_{e \in E}$ is a family of injective and uniformly contracting maps. If the family of maps $\{\phi_e\}_{e \in E}$ is also conformal and satisfies the open set condition, then the distortion properties of conformal maps can be extended to the …
Halodash: The Deep And Shallow History Of Aquatic Life's Passages Between Marine And Freshwater Habitats, Eric T. Schultz, Lisa Park Boush
Halodash: The Deep And Shallow History Of Aquatic Life's Passages Between Marine And Freshwater Habitats, Eric T. Schultz, Lisa Park Boush
EEB Articles
This series of papers highlights research into how biological exchanges between salty and freshwater habitats have transformed the biosphere. Life in the ocean and in freshwaters have long been intertwined; multiple major branches of the tree of life originated in the oceans and then adapted to and diversified in freshwaters. Similar exchanges continue to this day, including some species that continually migrate between marine and fresh waters. The series addresses key themes of transitions, transformations, and current threats with a series of questions: When did major colonizations of fresh waters happen? What physiographic changes facilitated transitions? What organismal characteristics facilitate …
Optimization Of Orbital Trajectories Using Neuroevolution Of Augmenting Topologies, Nathan Wetherell
Optimization Of Orbital Trajectories Using Neuroevolution Of Augmenting Topologies, Nathan Wetherell
University Scholar Projects
This project aims to determine the feasibility of using NeuroEvolution of Augmenting Topologies (NEAT), an advanced neural network evolution scheme, to optimize orbital transfer trajectories. More specifically, this project compares a genetically evolved neural network to a standard Hohmann transfer between Earth and Mars. To test these two methods, an N-body simulation environment was created to accurately determine the result of gravitational interactions on a theoretical spacecraft when combined with planned engine burns. Once created, this simulation environment was used to train the neural networks created using the NEAT Python module. A genetic algorithm was used to modify the topology …
Minimal Inscribed Polyforms, Jack Hanke
Minimal Inscribed Polyforms, Jack Hanke
Honors Scholar Theses
A polyomino of size n is constructed by joining n unit squares together by their edge to form a shape in the plane. This thesis will first examine the formal definition of a polyomino and the common equivalence classes polyominos are enumerated under. We then turn to polyomino families, and provide exact enumeration results for certain families, including the minimal inscribed polyominos. Next we will generalize polyominos to polyforms, and provide novel formulae for polyform analogues of minimal inscribed polyominos. Finally, we discuss some further questions concerning minimal inscribed polyforms.
Electromagnetic Detectability Of Binary Supermassive Black Holes, Kaylee Grace
Electromagnetic Detectability Of Binary Supermassive Black Holes, Kaylee Grace
Honors Scholar Theses
Supermassive black hole (SMBH) binaries can be produced by galaxy mergers and are important sources of gravitational waves. Although several binary candidates have been identified in previous work, none have yet been fully confirmed. These pairs are difficult to detect, since single accreting SMBHs can have pseudo-periodic lightcurves due to stochastic noise that can mimic the signature of binary SMBHs. The aforementioned lightcurves are the detections we classify as ”false-positive.” The Vera Rubin Observatory (VRO) will be a powerful new tool for detecting binary SMBHs. We determine the false-positive binary detection rate for VRO by attempting to recover sinusoidal binary …
On Misuses Of The Kolmogorov–Smirnov Test For One-Sample Goodness-Of-Fit, Anthony Zeimbekakis
On Misuses Of The Kolmogorov–Smirnov Test For One-Sample Goodness-Of-Fit, Anthony Zeimbekakis
Honors Scholar Theses
The Kolmogorov–Smirnov (KS) test is one of the most popular goodness-of-fit tests for comparing a sample with a hypothesized parametric distribution. Nevertheless, it has often been misused. The standard one-sample KS test applies to independent, continuous data with a hypothesized distribution that is completely specified. It is not uncommon, however, to see in the literature that it was applied to dependent, discrete, or rounded data, with hypothesized distributions containing estimated parameters. For example, it has been "discovered" multiple times that the test is too conservative when the parameters are estimated. We demonstrate misuses of the one-sample KS test in three …
Performance Improvements In Inner Product Encryption, Serena Riback
Performance Improvements In Inner Product Encryption, Serena Riback
Honors Scholar Theses
Consider a database that contains thousands of entries of the iris biometric. Each entry identifies an individual, so it is especially important that it remains secure. However, searching for entries among an encrypted database proves to be a security problem - how should one search encrypted data without leaking any information to a potential attacker? The proximity searchable encryption scheme, as discussed in the work by Cachet et al., uses the notions of inner product encryption developed by Kim et al.. In this paper, we will focus on the efficiency of these schemes. Specifically, how the symmetry of the bilinear …
The Phase Diagram Of A Non-Ideal Mixture’S P − V − X 2-Component Gas=Liquid Representation, Including Azeotropes, Carl W. David
The Phase Diagram Of A Non-Ideal Mixture’S P − V − X 2-Component Gas=Liquid Representation, Including Azeotropes, Carl W. David
Chemistry Education Materials
The liquid=vapor two phase p−v−x diagram is constructed for non-ideal solutions including azeotropes.
Connecticut Embayment Characteristics 2022, Jamie M.P. Vaudrey, James E. O'Donnell
Connecticut Embayment Characteristics 2022, Jamie M.P. Vaudrey, James E. O'Donnell
Department of Marine Sciences
Data on Connecticut embayment characteristics. This Excel file is the centerpiece for capturing embayment characteristics as presented in RESPEC (2022), developed specifically for this project. Some parameters such as watershed size, embayment size, and tidal range were pulled from other sources described in Appendix A of RESPEC (2022), but much of the data and indicators in the Excel file were developed for this project. Each parameter included in the spreadsheet is fully defined in Appendix A of RESPEC (2022). All data available in the spreadsheet are provided by embayment in Appendix C of RESPEC (2022), including the results of bathymetric …
The Van Der Waals Mixture Construct Of A P-X Two-Component Gas=Liquid Phase Diagram, Carl W. David
The Van Der Waals Mixture Construct Of A P-X Two-Component Gas=Liquid Phase Diagram, Carl W. David
Chemistry Education Materials
The van der Waals model, when applied to a mixture, is used to construct tie-line points on a liquid=vapor two phase p-x diagram.
Supporting Dataset For Observed And Forecasted Global Warming Pressure On Coastal Hypoxia, Michael M. Whitney
Supporting Dataset For Observed And Forecasted Global Warming Pressure On Coastal Hypoxia, Michael M. Whitney
Department of Marine Sciences
This archive contains the supporting dataset for the Biogeosciences manuscript “Observed and forecasted global warming pressure on coastal hypoxia” by Michael M. Whitney. The main objective of the manuscript is studying global patterns exacerbating coastal hypoxia by analyzing linear trends in SST, surface oxygen capacity, and (vertical-minimum) oxygen concentration. Observations from a satellite-derived SST global climate data are analyzed to provide context for coastal SST and oxygen-capacity trends over the last four decades. New analysis of 21st century forecasts from the Community Earth System Model (CESM) Large Ensemble Project is completed for coastal areas. Observed and forecasted coastal SST and …
Data Supporting The Figures In "Freshwater Composition And Connectivity Of The Connecticut River Plume During Ambient Flood Tides", Michael M. Whitney
Data Supporting The Figures In "Freshwater Composition And Connectivity Of The Connecticut River Plume During Ambient Flood Tides", Michael M. Whitney
Department of Marine Sciences
Supporting data for figures in "Freshwater composition and connectivity of the Connecticut River plume during ambient flood tides" by Michael M. Whitney, Yan Jia, Kelly L. Cole, Daniel G. MacDonald, Kimberly D. Huguenard. The scientific journal article is published in Frontiers in Marine Science (2021). The main objectives of this study on the Connecticut River plume formed during ambient flood tidal conditions are: 1) determining the contributions of river source waters from different parts of the tidal cycle and 2) quantifying the degree and spatial distribution of connectivity of these source waters with the bounding plume fronts. A high-resolution numerical …
Supporting Data For Figures In "Freshwater Composition And Connectivity Of The Connecticut River Plume During Ambient Flood Tides", Michael M. Whitney
Supporting Data For Figures In "Freshwater Composition And Connectivity Of The Connecticut River Plume During Ambient Flood Tides", Michael M. Whitney
Department of Marine Sciences
Supporting data for figures in "Freshwater composition and connectivity of the Connecticut River plume during ambient flood tides" by Michael M. Whitney, Yan Jia, Kelly L. Cole, Daniel G. MacDonald, Kimberly D. Huguenard. The scientific journal article is published in Frontiers in Marine Science (2021). The main objectives of this study on the Connecticut River plume formed during ambient flood tidal conditions are: 1) determining the contributions of river source waters from different parts of the tidal cycle and 2) quantifying the degree and spatial distribution of connectivity of these source waters with the bounding plume fronts. A high-resolution numerical …
Supporting Data For "Freshwater Composition And Connectivity Of The Connecticut River Plume During Ambient Flood Tides", Michael M. Whitney
Supporting Data For "Freshwater Composition And Connectivity Of The Connecticut River Plume During Ambient Flood Tides", Michael M. Whitney
Department of Marine Sciences
Supporting data for figures in "Freshwater composition and connectivity of the Connecticut River plume during ambient flood tides" by Michael M. Whitney, Yan Jia, Kelly L. Cole, Daniel G. MacDonald, Kimberly D. Huguenard. The scientific journal article is published in Frontiers in Marine Science (2021). The main objectives of this study on the Connecticut River plume formed during ambient flood tidal conditions are: 1) determining the contributions of river source waters from different parts of the tidal cycle and 2) quantifying the degree and spatial distribution of connectivity of these source waters with the bounding plume fronts. A high-resolution numerical …
Linking Human Activities To Water Quality In Coastal New England: Past And Present, Amelia Hurst
Linking Human Activities To Water Quality In Coastal New England: Past And Present, Amelia Hurst
University Scholar Projects
This project examines the timing and effect of direct and indirect anthropogenic and natural influences on the marine environment in embayments in southern New England over the past decades to century timescale. We investigated the effects of human land use from colonial through post-industrial times, determined baseline conditions and natural climatic variability, and analyzed the response of marine ecosystems to specific local management actions aimed to improve water quality. A coastal sediment core was taken in Mumford Cove, CT and was analyzed downcore for eutrophication markers (C: N, %C, %N, d15N, d13C) and metals (Hg, Pb, …