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Articles 14821 - 14850 of 302433

Full-Text Articles in Physical Sciences and Mathematics

Brown Carbon From Photo-Oxidation Of Glyoxal And So2 In Aqueous Aerosol, David O. De Haan, Lelia N. Hawkins, Praveen D. Wickremasinghe, Alyssa D. Andretta, Juliette R. Dignum, Audrey C. De Haan, Hannah G. Welsh, Elyse A. Pennington, Tianqu Cui, Jason D. Surratt, Mathieu Cazaunau, Edouard Pangui, Jean-François Doussin Apr 2023

Brown Carbon From Photo-Oxidation Of Glyoxal And So2 In Aqueous Aerosol, David O. De Haan, Lelia N. Hawkins, Praveen D. Wickremasinghe, Alyssa D. Andretta, Juliette R. Dignum, Audrey C. De Haan, Hannah G. Welsh, Elyse A. Pennington, Tianqu Cui, Jason D. Surratt, Mathieu Cazaunau, Edouard Pangui, Jean-François Doussin

Chemistry and Biochemistry: Faculty Scholarship

Aqueous-phase dark reactions during the co-oxidation of glyoxal and S(IV) were recently identified as a potential source of brown carbon (BrC). Here, we explore the effects of sunlight and oxidants on aqueous solutions of glyoxal and S(IV), and on aqueous aerosol exposed to glyoxal and SO2. We find that BrC is able to form in sunlit, bulk-phase, sulfite-containing solutions, albeit more slowly than in the dark. In more atmospherically relevant chamber experiments where suspended aqueous aerosol particles are exposed to gas-phase glyoxal and SO2, the formation of detectable amounts of BrC requires an OH radical source …

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The Role Of Sars-Cov-2 Orf8 Protein Arks Motif On Novobiocin Binding, Si Chun Chiu, My T. Nguyen Apr 2023

The Role Of Sars-Cov-2 Orf8 Protein Arks Motif On Novobiocin Binding, Si Chun Chiu, My T. Nguyen

Celebrating Scholarship and Creativity Day (2018-)

The discovery of the SARS-CoV-2 virus during the COVID-19 pandemic required scientists to develop medical solutions to reduce infectivity, severity of symptoms, and death. Although vaccines and drugs provided urgent assistance, the need to continue developing better drugs is necessary long term, and understanding the structure of the virus and finding potential inhibitors would prove vital to discovering solutions to this worldwide health problem. This experimental project focuses on targeting the unique accessory protein, Open Reading Frame 8 (ORF8) in SARS-CoV-2 through studying its interactions with a repurposable drug, novobiocin. Importantly, ORF8 specializes in helping evade immune system checks by …

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Optimizing A Passive Tracking Solar Panel System, Carsten Johnson Apr 2023

Optimizing A Passive Tracking Solar Panel System, Carsten Johnson

Scholars Day Conference

Renewable energy has been gaining attention from individuals to government agencies as the negative effects of fossil fuel usage has been realized. Solar power is a reliable and green alternative to fossil fuels. Solar power is harnessed through the direct absorption of rays from the sun. In this experiment, a passive sun-tracking system using a shape memory alloy (SMA), gears, and a fresnel lens rotated a solar panel to face the sun throughout the day. At the end of the day the system rotates the solar panel back to the east in preparation for the next day’s cycle to begin. …

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Fostering Geometric Thinking, Brock Bivens Apr 2023

Fostering Geometric Thinking, Brock Bivens

Scholars Day Conference

Fostering Geometric Thinking is a learning process that guides critical thinkers in the problem solving process. In the book, Fostering Geometric Thinking, by Mark Driscoll. Driscoll describes four different geometric habits of mind that are essential to Fostering Geometric Thinking.

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Dynamically Finding Optimal Kernel Launch Parameters For Cuda Programs, Taabish Jeshani Apr 2023

Dynamically Finding Optimal Kernel Launch Parameters For Cuda Programs, Taabish Jeshani

Electronic Thesis and Dissertation Repository

In this thesis, we present KLARAPTOR (Kernel LAunch parameters RAtional Program estimaTOR), a freely available tool to dynamically determine the values of kernel launch parameters of a CUDA kernel. We describe a technique for building a helper program, at the compile-time of a CUDA program, that is used at run-time to determine near-optimal kernel launch parameters for the kernels of that CUDA program. This technique leverages the MWP-CWP performance prediction model, runtime data parameters, and runtime hardware parameters to dynamically determine the launch parameters for each kernel invocation. This technique is implemented within the KLARAPTOR tool, utilizing the LLVM Pass …

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Chemically Responsive Hydrogels, Properties, Pharmaceuticals, And Agricultural Applications: A Review, Mohammad Alrbaihat, Qusay Abu-Afifeh, Firas Al-Zeidaneen Apr 2023

Chemically Responsive Hydrogels, Properties, Pharmaceuticals, And Agricultural Applications: A Review, Mohammad Alrbaihat, Qusay Abu-Afifeh, Firas Al-Zeidaneen

Al-Bahir Journal for Engineering and Pure Sciences

A review of the literature on chemically responsive hydrogels about the selection of selectivity based on classification, properties, and application is presented in this article. Chemically responsive hydrogels are a type of hydrogel that undergo changes in their properties in response to specific stimuli. These hydrogels have attracted significant attention due to their potential applications in various fields, including pharmaceuticals and agriculture. Chemically crosslinked hydrogels are synthesized by covalent crosslinking of end-functionalized macromeres. Currently, a great deal of research is being conducted on hydrogel networks, also known as smart networks or hungry networks. This is owing to their potential use …

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The State Of Sustainability At Wcu: Key Insights From Wcu’S First Sustainability Census, Aliza Richman Apr 2023

The State Of Sustainability At Wcu: Key Insights From Wcu’S First Sustainability Census, Aliza Richman

Sustainability Research & Practice Seminar Presentations

Professor Aliza Richman, Sociology - The State of Sustainability at WCU: Key Insights from WCU’s First Sustainability Census

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219 - Developing A Portable System Of Environmental Dna (Edna) Surveillance To Monitor Fish Population Dynamics And Detect Invasive Species In Conesus Lake And The Philippine Seas, Karina Mirza, Micah Ford, Morgan Comstock Apr 2023

219 - Developing A Portable System Of Environmental Dna (Edna) Surveillance To Monitor Fish Population Dynamics And Detect Invasive Species In Conesus Lake And The Philippine Seas, Karina Mirza, Micah Ford, Morgan Comstock

GREAT Day Posters

Climate change is an increasing threat to many ecosystems worldwide. Due to global warming, many species are under threat of extinction while others are forced into unusual patterns of migration. In the Philippines, the fish Round Scad is a cheap source of protein in the diet of common citizens. Alarmingly, it is rapidly declining in both population and body size. In this project, we aim to develop a cheap, rapid, and sensitive method of monitoring the population dynamics of this fish in the wild. Recently, a new method called environmental DNA (eDNA) metabarcoding has been developed as a cost-effective way …

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221 - Angkorian Temples In Mainland Southeast Asia: Cambodia, Laos, Thailand & Vietnam 9th - 15th Century, Sophuth Phon Apr 2023

221 - Angkorian Temples In Mainland Southeast Asia: Cambodia, Laos, Thailand & Vietnam 9th - 15th Century, Sophuth Phon

GREAT Day Posters

The Angkorian Era of the Khmer Empire (9th - 15th AD) is notable for its construction of numerous temples of high architectural heritage value, yet those temples have not been studied in depth. The spatial distribution of those temples, and their various historical characteristics, are also yet to be analyzed or mapped out. The purpose of this project is to spatially map the temple and discern if locations correlate to the region’s geography. This project compiled primary data on 70 major Angkorian temples in mainland Southeast Asia using various sources but primarily Google Earth Pro and Humanitarian Data Exchange (HDX). …

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187 - Modeling The Dynamics Of Chromosomal Alteration Progression In Cervical Cancer: A Computational Model, Mike Mascitti Apr 2023

187 - Modeling The Dynamics Of Chromosomal Alteration Progression In Cervical Cancer: A Computational Model, Mike Mascitti

GREAT Day Posters

Cervical cancer is a complex disease characterized by unpredictable genetic alterations of cells. Computational modeling may be applied to simulate the growth and behavior of cervical cancer within a tissue and the progression of the disease throughout the body. In our computational model, individual cells have the ability to transform behavior between the following states: healthy, precursor lesion (CN1, CN2, CN3), and cancer. Each cell state has a different mutation rate, reproductive rate, and cell life span. Our model simulates the transformation of cells into these different states. The data from our computational model shows the day-to-day growth of cancer …

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Co-Designing Assistive Technology With And For Persons Living With Dementia, Dympna O'Sullivan, Jonathan Turner, Siobhan O'Neill, Micheal Wilson, Julie Doyle Apr 2023

Co-Designing Assistive Technology With And For Persons Living With Dementia, Dympna O'Sullivan, Jonathan Turner, Siobhan O'Neill, Micheal Wilson, Julie Doyle

Conference papers

Dementia is a chronic and progressive neurodegenerative illness, which can lead to significant difficulties in a person’s capacity to perform activities of daily living (ADLs) and engage in meaningful activities. There is an acute need, which digital health technologies can potentially fulfil, to provide proactive support for persons living with dementia (PLwD) and their caregivers. However, there is limited involvement of PLwD in the design of technology that could be used to support their personal plans for independent living at home. In this paper, we describe how we are employing a co-design methodology to support engagement in an assistive technology …

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195 - Targeting Telomeric And C-Myc G4 Dna As An Anticancer Approach, Alexander Michaels, Sameela Haidari, Courtney Fetzer Apr 2023

195 - Targeting Telomeric And C-Myc G4 Dna As An Anticancer Approach, Alexander Michaels, Sameela Haidari, Courtney Fetzer

GREAT Day Posters

G-quadruplex (G4) DNA are non-canonical higher order DNA structures formed from guanine rich sequences, made up of stacked G-tetrads stabilized by non-Watson-Crick (Hoogsteen) base pairing and K+ ions. Early interests in G4 DNA were spurred on by the revelation that G4 was formed in telomeric DNA sequences at the end of our chromosomes. This was particularly promising given that G4 structures formed in telomeric DNA were also found to inhibit an enzyme known as telomerase, which is overexpressed (>90%) in cancer cells. Cancer cells require telomerase activity for survival and "immortality", therefore stabilization of telomeric G4 can inhibit …

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263 - Housing And Integrating Bats Into The Suny Geneseo Campus Ecosystem., Hailey Cullen, Gabrielle Joseph Apr 2023

263 - Housing And Integrating Bats Into The Suny Geneseo Campus Ecosystem., Hailey Cullen, Gabrielle Joseph

GREAT Day Posters

This presentation centers on research conducted on building a sustainable prototype design of a bat box. We focused on configuring the implementation of bat boxes around the SUNY Geneseo campus as well as the optimal materials to use in the building of this prototype. The primary species targeted in our research and design development is the big brown bat.

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Time Series Analysis Of Longitudinally Collected Standard Autoperimetry Data In Glaucoma Patients, Carlyn Childress Apr 2023

Time Series Analysis Of Longitudinally Collected Standard Autoperimetry Data In Glaucoma Patients, Carlyn Childress

Honors College Theses

Glaucoma is a group of eye diseases in which damage gradually occurs to the optic nerve, which often leads to partial or complete loss of vision. As the second leading cause of blindness, there is no cure for glaucoma. Early detection and the tracking of its progression is key to managing the effects of glaucoma. Ordinary Least Squares Regression (OLSR), the most commonly used methodology for tracking glaucoma progression, is inappropriate as the longitudinally collected perimetry data from the glaucoma patients appears to be temporally correlated. Time series models, that account for temporal correlation, are better methods to analyze Mean …

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339 - Snowvember 2.0: Mapping Lake-Effect Snowfall In The Buffalo, New York Area During The November 2022 Extreme Snowfall Event, Gabrielle Puente Apr 2023

339 - Snowvember 2.0: Mapping Lake-Effect Snowfall In The Buffalo, New York Area During The November 2022 Extreme Snowfall Event, Gabrielle Puente

GREAT Day Posters

The City of Buffalo, New York is located in western New York State near two Great Lakes: Lake Ontario to the north, and Lake Erie to the west. The Great Lakes region that includes Buffalo experiences a weather phenomenon known as lake-effect snow, where surface buoyant instability and upward moisture movement from the Great Lakes can cause extreme snowfall in localized bands. The purpose of this project is to analyze the total amount of snowfall that occurred on a specific lake-effect snowfall even in November 2022, termed "Snowvember 2.0" (or November 2022 Great Lakes Winter Storm.) Snowfall data was obtained …

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Characterization Of Extended Uncertainty Principle Black Holes, Juan Uribe, Jonas Mureika Apr 2023

Characterization Of Extended Uncertainty Principle Black Holes, Juan Uribe, Jonas Mureika

Honors Thesis

Black Holes are special objects as they are at the intersection of Quantum Mechanics and General Relativity. A central tenant of quantum mechanics is the Uncertainty Principle that dictates we cannot know with complete certainty position and momentum at the same time. The Extended Uncertainty Principle introduces a position-related uncertainty correction L_* to account for General Relativity. In a previous paper, a black hole metric associated with the Extended Uncertainty Principle was derived, by modifying the metric function of a Schwarzschild black hole. This metric introduces near-horizon structures that should produce observable effects, such as love numbers, gravitational wave echoes, …

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The Influence Of The Substrate On The Functionality Of Spin Crossover Molecular Materials, Saeed Yazdani, Jared Phillips, Thilini K. Ekanayaka, Ruihua Cheng, Peter A. Dowben Apr 2023

The Influence Of The Substrate On The Functionality Of Spin Crossover Molecular Materials, Saeed Yazdani, Jared Phillips, Thilini K. Ekanayaka, Ruihua Cheng, Peter A. Dowben

Department of Physics and Astronomy: Faculty Publications

Spin crossover complexes are a route toward designing molecular devices with a facile readout due to the change in conductance that accompanies the change in spin state. Because substrate effects are important for any molecular device, there are increased efforts to characterize the influence of the substrate on the spin state transition. Several classes of spin crossover molecules deposited on different types of surface, including metallic and non-metallic substrates, are comprehensively reviewed here. While some non-metallic substrates like graphite seem to be promising from experimental measurements, theoretical and experimental studies indicate that 2D semiconductor surfaces will have minimum interaction with …

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On Cox Proportional Hazards Model Performance Under Different Sampling Schemes, Hani Samawi, Lili Yu, Jingjing Yin Apr 2023

On Cox Proportional Hazards Model Performance Under Different Sampling Schemes, Hani Samawi, Lili Yu, Jingjing Yin

Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Publications

Cox’s proportional hazards model (PH) is an acceptable model for survival data analysis. This work investigates PH models’ performance under different efficient sampling schemes for analyzing time to event data (survival data). We will compare a modified Extreme, and Double Extreme Ranked Set Sampling (ERSS, and DERSS) schemes with a simple random sampling scheme. Observations are assumed to be selected based on an easy-to-evaluate baseline available variable associated with the survival time. Through intensive simulations, we show that these modified approaches (ERSS and DERSS) provide more powerful testing procedures and more efficient estimates of hazard ratio than those based on …

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Popr: Probabilistic Offline Policy Ranking With Expert Data, Trevor F. Schwantes Apr 2023

Popr: Probabilistic Offline Policy Ranking With Expert Data, Trevor F. Schwantes

Theses and Dissertations

While existing off-policy evaluation (OPE) methods typically estimate the value of a policy, in real-world applications, OPE is often used to compare and rank policies before deploying them in the real world. This is also known as the offline policy ranking problem. While one can rank the policies based on point estimates from OPE, it is beneficial to estimate the full distribution of outcomes for policy ranking and selection. This paper introduces Probabilistic Offline Policy Ranking that works with expert trajectories. It introduces rigorous statistical inference capabilities to offline evaluation, which facilitates probabilistic comparisons of candidate policies before they are …

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Blind Fighter – A Video Game For The Visually Impaired, Avery Wayne Harrah Apr 2023

Blind Fighter – A Video Game For The Visually Impaired, Avery Wayne Harrah

ATU Research Symposium

Blind Fighter is a video game made to be playable by anyone, regardless of any visual impairments the player may have. The game relies on auditory queues to allow players to understand what is happening in the game without ever having to see the screen. The project’s goal is to serve as a proof of concept that video games can be made inclusive with a few additions during development, without sacrificing overall quality. To do this, the game features full graphics in addition to testing many strategies for visually impaired players, including direction-based audio, unique sound effects for each game …

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Crime Prediction Using Machine Learning: The Case Of The City Of Little Rock, Zurab Sabakhtarishvili, Sijan Panday, Clayton Jensen Apr 2023

Crime Prediction Using Machine Learning: The Case Of The City Of Little Rock, Zurab Sabakhtarishvili, Sijan Panday, Clayton Jensen

ATU Research Symposium

Crime is a severe problem in the city of Little Rock, Arkansas. In this study, we aim to develop a machine-learning model to predict criminal activities in the city and provide insights into crime patterns. We will analyze publicly available crime datasets from Little Rock Police Department from January 2017 to March 2023 to identify trends and patterns in crime occurrence. We used data cleaning and exploratory data analysis techniques, such as figured-based visualizations, to prepare the data for machine learning. We will employ the Neural Prophet, a time-series machine learning model, to predict daily crime counts. The model will …

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Reworking Of The Arkansas Tech Human Resources Employee Records Software, Dalton J. George, Brayan Bonilla-Chavez, John Modica, Angelina Das Apr 2023

Reworking Of The Arkansas Tech Human Resources Employee Records Software, Dalton J. George, Brayan Bonilla-Chavez, John Modica, Angelina Das

ATU Research Symposium

Evisions Argos is a real-time reporting tool used by Arkansas Tech in many record-keeping departments. Reworking HR's software using this tool, security and database access concerns were negated, as Argos is already connected to the University's backend. Using Argos, we have made ATU HR's employee records software more user friendly and built a system that can be pushed to production for use by the university. As a secondary portion to this final project, we developed a proof-of-concept web application using the MEAN (Mongo, Express, Angular, Node) stack. This gave us the opportunity to produce a full-stack application from scratch as …

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The Ozark Getaway, Houston Barber, Marcus Gasca, Evan Reece Matlock, Avery Wayne Harrah Apr 2023

The Ozark Getaway, Houston Barber, Marcus Gasca, Evan Reece Matlock, Avery Wayne Harrah

ATU Research Symposium

Website designed for usage of renting AirBnb houses outside of the original website under the specific owner.

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Arkavalley Liquor: Simplifying Restaurant Alcohol Orders, Isaiah A. Kitts, Dayton Drilling, Bradlee Treece, Cameron Lumpkin Apr 2023

Arkavalley Liquor: Simplifying Restaurant Alcohol Orders, Isaiah A. Kitts, Dayton Drilling, Bradlee Treece, Cameron Lumpkin

ATU Research Symposium

The ArkaValley Liquor system is a web-based ordering platform designed to simplify the process of ordering alcohol for local restaurants. Currently, restaurants place orders by emailing the store, which makes it difficult to maintain a paper trail and track order details. With the ArkaValley Liquor system, the ordering process is automated, and all order details are saved in one central location. Each restaurant will have a login, ensuring only authorized individuals can place orders. The system will also provide a record of each restaurant's most recent order, making it easy to reorder if necessary. By using the ArkaValley Liquor system, …

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Premium Wireless, Dakota Burkhart, Andrew Clark, Garrett Kenney, Brandon Monroe Apr 2023

Premium Wireless, Dakota Burkhart, Andrew Clark, Garrett Kenney, Brandon Monroe

ATU Research Symposium

Our work implements an inventory system and appointment system for the Premium Wireless phone company. It includes separate views for employees to manage inventory and view appointments for the day and the near future and allows customers to view all current inventory and set an appointment.

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Electron Charge To Mass Ratio, Tori Freeman, Quinlin Reynolds Apr 2023

Electron Charge To Mass Ratio, Tori Freeman, Quinlin Reynolds

ATU Research Symposium

The purpose of this experiment is to confirm the e/m ratio and charge of an electron discovered initially by J.J. Thomson. We use an electron beam generated inside an e/m tube and Helmholtz coils that generate a magnetic field which deflects the path of the electrons. The radius of the path can be measured and from there the magnitude of the magnetic field and the charge-to-mass ratio can be found. This experiment was successful in confirming the results found by J.J. Thomson and his cathode ray experiments. The results of this experiment had a 0.5% error with the accepted e/m …

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Investigating Properties Of Commercially Available Ir Detector Technology, Ethan Taylor Apr 2023

Investigating Properties Of Commercially Available Ir Detector Technology, Ethan Taylor

ATU Research Symposium

With the ability to transcode valuable information from light emitting objects, infrared (IR) detector technology has begun to find recreational use in the form of non-contact thermometers and home insulation tools. Research and industry have long been using IR technology in the form of high-altitude balloons, CubeSats, and UAV cameras, but the technology remains a niche market, and thus, a burdensome financial investment. As such, given general consumer products recently introduced as more economically viable, we sought to design an affordable IR camera capable of effective and meaningful data collection. To do so, we utilized a Raspberry Pi 4 and …

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Analysis Of Honeypots In Detecting Tactics, Techniques, And Procedure (Ttp) Changes In Threat Actors Based On Source Ip Address, Carson Reynolds, Andy Green Apr 2023

Analysis Of Honeypots In Detecting Tactics, Techniques, And Procedure (Ttp) Changes In Threat Actors Based On Source Ip Address, Carson Reynolds, Andy Green

Symposium of Student Scholars

The financial and national security impacts of cybercrime globally are well documented. According to the 2020 FBI Internet Crime Report, financially motivated threat actors committed 86% of reported breaches, resulting in a total loss of approximately $4.1 billion in the United States alone. In order to combat this, our research seeks to determine if threat actors change their tactics, techniques, and procedures (TTPs) based on the geolocation of their target’s IP address. We will construct a honeypot network distributed across multiple continents to collect attack data from geographically separate locations concurrently to answer this research question. We will configure the …

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Probing The Effect Of Nitrogen And Boron Doping On Structures, Properties, And Stability Of C20 Clusters, Ramsay Revennaugh, Martina Kaledin Apr 2023

Probing The Effect Of Nitrogen And Boron Doping On Structures, Properties, And Stability Of C20 Clusters, Ramsay Revennaugh, Martina Kaledin

Symposium of Student Scholars

Fullerenes are carbon molecules arranged in a closed hollow shell to form spherical-like structures. These clusters exist in various sizes, Cn, with the smallest being C20. C20, often when doped with other elements, has shown promise in creating new materials as a catalyst and as energy storage material. Here, we look at the existence of C20 doped with nitrogen or boron atoms using density functional theory (DFT). C20 is doped with one to three boron or nitrogen atoms, respectively, including the five different C18N2 / C18B2 …

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Ab Initio Calculations Of Vibrational Spectra Of Model Peptides, Katheryn Foust, Martina Kaledin Apr 2023

Ab Initio Calculations Of Vibrational Spectra Of Model Peptides, Katheryn Foust, Martina Kaledin

Symposium of Student Scholars

The function of biological molecules is closely related to their spatial structure and conformational dynamics. Therefore, understanding the structure and functions of small peptides contributes to gaining insight into the behavior of more complex systems. The peptide bond (-CO-NH-) is among the very important binding patterns in biochemistry. It links amino acids together, specifies rigidity to the protein backbone, and includes the two essential docking sites for hydrogen-bond-mediated protein folding and protein aggregation, namely, the C=O acceptor and the N-H donor parts. Therefore, the C=O (amide-I) and N-H (amide-A) vibrations provide sensitive and widely used probes into the structure of …

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