Physical Sciences and Mathematics Commons^™

Toronto Canada - 1990

World Data - North America

Relevant Publications

Environmental Science & Technology Publication (1995)

Currents Publication (1991)

Copper Selenide As Multifunctional Non-Enzymatic Glucose And Dopamine Sensor, Harish Singh, Jillian Bernabe, Justin Chern, Manashi Nath

Chemistry Faculty Research & Creative Works

Cu₂Se, synthesized through one-pot hydrothermal synthesis, was identified as highly efficient bifunctional sensor for co-detection of glucose and dopamine with high selectivity. As-synthesized copper selenide could electro-oxidize glucose and dopamine at different applied potentials. Glucose oxidation was observed at 0.35 V while dopamine oxidized at 0.2 V. This copper selenide-based non-enzymatic sensor showed high sensitivity for both glucose (15.341 mA mM^-1 cm^-2) and dopamine (12.43 μA μM^-1 cm^-2) with low limit of detection (0.26 μM and 84 nM). Such high sensitivity and low LOD makes this sensor attractive for possible detection of …

Targeting Of Glut5 For Transporter-Mediated Drug-Delivery Is Contingent Upon Substrate Hydrophilicity, Nazanin Nahrjou, Avik Ghosh, Marina Tanasova

Michigan Tech Publications

Specific link between high fructose uptake and cancer development and progression highlighted fructose transporters as potential means to achieve GLUT-mediated discrimination between normal and cancer cells. The gained expression of fructose-specific transporter GLUT5 in various cancers offers a possibility for developing cancer-specific imaging and bioactive agents. Herein, we explore the feasibility of delivering a bioactive agent through cancer-relevant fructose-specific transporter GLUT5. We employed specific targeting of GLUT5 by 2,5-anhydro-D-mannitol and investigated several drug conjugates for their ability to induce cancer-specific cytotoxicity. The proof-of-concept analysis was carried out for conjugates of chlorambucil (CLB) in GLUT5-positive breast cancer cells and normal breast …

Active Layer Thickness As A Function Of Soil Water Content, Leah K. Clayton, Kevin Schaefer, Michael Battaglia, Laura Bourgeau-Chavez, Jingyi Chen, Richard H. Chen, Albert Chen, Kazem Bakian-Dogaheh, Sarah L. Grelik, Elchin Jafarov, Lin Liu, Roger John Michaelides, Mahta Moghaddam, Andrew D. Parsekian, Adrian V. Rocha, Sean R. Schaefer, Taylor Sullivan, Alireza Tabatabaeenejad, Kang Wang, Cathy J. Wilson, Howard A. Zebker, Tingjun Zhang, Yuhuan Zhao

Michigan Tech Publications

Active layer thickness (ALT) is a critical metric for monitoring permafrost. How soil moisture influences ALT depends on two competing hypotheses: (a) increased soil moisture increases the latent heat of fusion for thaw, resulting in shallower active layers, and (b) increased soil moisture increases soil thermal conductivity, resulting in deeper active layers. To investigate their relative influence on thaw depth, we analyzed the Field Measurements of Soil Moisture and Active Layer Thickness (SMALT) in Alaska and Canada dataset, consisting of thousands of measurements of thaw depth and soil moisture collected at dozens of sites across Alaska and Canada as part …

Management Intensive Grazing On New England Dairy Farms Enhances Soil Nitrogen Stocks And Elevates Soil Nitrous Oxide Emissions Without Increasing Soil Carbon, Alexandra R. Contosta, Kyle A. Arndt, Eleanor E. Campbell, A. Stuart Grandy, Apryl L. Perry, Ruth K. Varner

Faculty Publications

Management intensive grazing (MIG), also known as rotational grazing or multi-paddock grazing, is purported to sequester carbon (C) in soils compared to other agricultural management systems. Prior research examining the potential for MIG to enhance soil C has been inconclusive, and past investigations have not addressed whether higher nitrous oxide (N2O) emissions may accompany increases in soil C stocks. Here we examined linkages among MIG, soil C accumulation, and N2O emissions in cool-season, organic pastures of the northeastern United States. We found that pastures under MIG increased soil C concentrations by 11% from 0–15 cm depth but that soil C …

Ieee Access Special Section Editorial: Software-Defined Networks For Energy Internet And Smart Grid Communication, Mubashir Husain Rehmani, Alan Davy, Brendan Jennings, Zeeshan Kaleem, Akhilesh S. Thyagaturu, Hassnaa Moustafa, Al-Sakib Khan Pathan

Publications

A new network paradigm of software-defined networks (SDNs) is being widely adapted to efficiently monitor and manage the communication networks with a global perspective. SDN has a key networking feature that separates control and data plane. Today, due to its inherent benefits, SDN has been widely applied to various networking domains, including data centers, 5G Access and Core network functions, wide area network (WAN), enterprise, optical networks, underwater sensor networks (UWSNs), energy Internet (EI), and smart grid (SG).

We’Re Here To Get You There: A Statistical Analysis Of Bridgewater State University’S Transit System, Abigail Adams

Honors Program Theses and Projects

Bridgewater State University first established its on-campus transportation service in January of 1984. While it began only running as an on-campus service for students throughout the day, the service grew to expand by offering an off-campus connection to the neighboring city of Brockton and absorbed the night service system from the campus safety team. As BSU Transit continues to grow, the organization is seeking ways to improve their overall service and better prepare their fleet and driver pool to accommodate this growth. The purpose of this research is to analyze trends among the data collected by BSU Transit and assist …

A Survey On Long-Range Wide-Area Network Technology Optimizations, Felipe S. Dantas Silva, Emidio P. Neto, Helder Oliveira, Denis Rosário, Eduardo Cerqueira, Cristiano Both, Sherali Zeadally, Augusto V. Neto

Information Science Faculty Publications

Long-Range Wide-Area Network (LoRaWAN) enables flexible long-range service communications with low power consumption which is suitable for many IoT applications. The densification of LoRaWAN, which is needed to meet a wide range of IoT networking requirements, poses further challenges. For instance, the deployment of gateways and IoT devices are widely deployed in urban areas, which leads to interference caused by concurrent transmissions on the same channel. In this context, it is crucial to understand aspects such as the coexistence of IoT devices and applications, resource allocation, Media Access Control (MAC) layer, network planning, and mobility support, that directly affect LoRaWAN’s …

Guidelines For Regression Analysis In Sas And R: A Case Study, Sarah Milligan

Honors Program Theses and Projects

When a player is a free agent, an individual who is able to sign to any team, one wonders what their best option is. Will signing with Team A or Team B provide them with the largest salary? What factors will affect their salary the most? Does last year’s statistics have a strong impact on next year’s salary? These questions can be answered by performing a regression analysis on previous years data. The primary focus of this project is to determine the most important variables related to an NBA salary. Likewise, the statistical programs SAS and R will be compared …

A Study On Differing Generational Values And Expectations In Corporate America, Abigail Grella

Honors Program Theses and Projects

This paper examines the most common factors that lead to voluntary employee turnover, and the implications employee turnover has on an organization. Additionally, this paper will consider the varying values and workplace expectations of different demographic groups such as Millennials, Generation X, Generation Y, and Baby Boomers and how such factors could influence voluntary turnover. A study is conducted from survey results gathered across a large span of generations that are currently employed. Using statistical analysis employing t-tests and a Mood’s Median test, the results show that different generations have differently weighing values for specific organizational offerings. The results show …

Lisbon Portugal - 1994

World Data - Europe

Relevant Publications

Environmental Science & Technology Publication (1995)

Melbourne - 1992

World Data - Australia

Relevant Publications

Environmental Science & Technology Publication (1995)

Final Report

Tidal Deformability Of Strange Stars And The Gw170817 Event, Odilon Lourenço, Cesar H. Lenzi, Mariana Dutra, Efrain J. Ferrer, Vivian De La Incera, Laura Paulucci, J. E. Horvath

Physics and Astronomy Faculty Publications and Presentations

In this work we consider strange stars formed by quark matter in the color-flavor-locked (CFL) phase of color superconductivity. The CFL phase is described by a Nambu-Jona-Lasinio model with four-fermion vector and diquark interaction channels. The effect of the color superconducting medium on the gluons are incorporated into the model by including the gluon self-energy in the thermodynamic potential. We construct parametrizations of the model by varying the vector coupling GV and comparing the results to the data on tidal deformability from the GW170817 event, the observational data on maximum masses from massive pulsars such as the MSP J0740+6620, and …

Differences In Effectiveness And Use Of Laparoscopic Surgery In Locally Advanced Colon Cancer Patients, M. Schootman, Matthew Mutch, T. Loux, Jan M. Eberth Ph.D., N. O. Davidson

Faculty Publications

Patients with locally advanced colon cancer have worse outcomes. Guidelines of various organizations are conflicting about the use of laparoscopic colectomy (LC) in locally advanced colon cancer. We determined whether patient outcomes of LC and open colectomy (OC) for locally advanced (T4) colon cancer are comparable in all colon cancer patients, T4a versus T4b patients, obese versus non-obese patients, and tumors located in the ascending, descending, and transverse colon. We used data from the 2013–2015 American College of Surgeons’ National Surgical Quality Improvement Program. Patients were diagnosed with nonmetastatic pT4 colon cancer, with or without obstruction, and underwent LC (n …

Fungal Community Response To Long-Term Soil Warming With Potential Implications For Soil Carbon Dynamics, Gregory J. Pec, Linda T. A. Van Diepen, Melissa A. Knorr, A. Stuart Grandy, Jerry M. Melillo, Kristen M. Deangelis, Jeffrey L. Blanchard, Serita D. Frey

Faculty Publications

The direction and magnitude of climate warming effects on ecosystem processes such as carbon cycling remain uncertain. Soil fungi are central to these processes due to their roles as decomposers of soil organic matter, as mycorrhizal symbionts, and as determinants of plant diversity. Yet despite their importance to ecosystem functioning, we lack a clear understanding of the long-term response of soil fungal communities to warming. Toward this goal, we characterized soil fungal communities in two replicated soil warming experiments at the Harvard Forest (Petersham, Massachusetts, USA) which had experienced 5°C above ambient soil temperatures for 5 and 20 yr at …

Mixed Generalized Fractional Brownian Motion, Shaykhah Alajmi, Ezzedine Mliki

Journal of Stochastic Analysis

No abstract provided.

How Can Collaborative Engagement Improve Water Quality? An On-The-Ground Perspective From The Musconetcong River, Alan R. Hunt

Sustainability Seminar Series

Partnerships are instrumental to improving water quality, especially difficult challenges like addressing non-point source pollution. Hear how over a thirty year timespan local residents worked to improve water quality, first through protecting the Musconetcong River as a National Wild and Scenic River, and then using that status to work collaboratively with federal and state agencies, non-governmental organizations, and local land owners to reduce pollution from farms and remove abandoned dams.

Analysis Of Individual Player Performances And Their Effect On Winning In College Soccer, Angelo Bravo, Thomas Karba, Sean Mcwhirter, Billy Nayden

SMU Data Science Review

This study describes the process of modernizing the approach of the Southern Methodist University (SMU) Men's Soccer coaching staff through the use of location and tracking data from their matches in the 2019 season. This study utilizes a variety of modeling and analysis techniques to explore and categorize the data and use it to evaluate the types of plays that are most often correlated with victories. This study's contribution to college soccer analytics includes the implementation of a model to determine individual players' performance, the production of team-level metrics, and visualizations to increase the efficiency of the coaching staff's efforts. …

Machine Learning In The Health Industry: Predicting Congestive Heart Failure And Impactors, Alexandra Norman, James Harding, Daria Zhukova

SMU Data Science Review

Cardiovascular diseases, Congestive Heart Failure in particular, are a leading cause of deaths worldwide. Congestive Heart Failure has high mortality and morbidity rates. The key to decreasing the morbidity and mortality rates associated with Congestive Heart Failure is determining a method to detect high-risk individuals prior to the development of this often-fatal disease. Providing high-risk individuals with advanced knowledge of risk factors that could potentially lead to Congestive Heart Failure, enhances the likelihood of preventing the disease through implementation of lifestyle changes for healthy living. When dealing with healthcare and patient data, there are restrictions that led to difficulties accessing …

Generating And Smoothing Handwriting With Long Short-Term Memory Networks, Muchigi Kimari, Edward Fry, Ikenna Nwaogu, Yumei Bennett, John Santerre

SMU Data Science Review

This project explores the different neural network methods to generate synthetic handwriting text. The goal is to offer an AI tool that generates handwriting, while maintaining an individual’s style, to people suffering with Dysgraphia. As part of this project, an application development framework is setup on GitHub, in such a way that others can continue to explore and improve the AI tool.

A Machine Learning Method Of Determining Causal Inference Applied To Shifts In Voting Preferences Between 2012-2016, Jaclyn A. Coate, Reagan Meagher, Megan Riley, John Santerre

SMU Data Science Review

This research investigates the application of machine learning techniques to assist in the execution of a synthetic control model. This model was performed to analyze counties within the United States that showed a voter shift from a majority of Democratic voter share to Republican between the 2012 and 2016 election cycles. The following study applies two steps of machine learning analysis. The first, which is the treatment discovery process, leverages a Random Forest to evaluate feature importance. The second step was the execution of the synthetic control model with two predictor variable lists. The first was the parametric method: …

Automated Analysis Of Rfps Using Natural Language Processing (Nlp) For The Technology Domain, Sterling Beason, William Hinton, Yousri A. Salamah, Jordan Salsman

SMU Data Science Review

Much progress has been made in text analysis, specifically within the statistical domain of Term Frequency (TF) and Inverse Document Frequency (IDF). However, there is much room for improvement especially within the area of discovering Emerging Trends. Emerging Trend Detection Systems (ETDS) depend on ingesting a collection of textual data and TF/IDF to identify new or up-trending topics within the Corpus. However, the tremendous rate of change and the amount of digital information presents a challenge that makes it almost impossible for a human expert to spot emerging trends without relying on an automated ETD system. Since the U.S. Government …

Electron Yield Decay Curves For Analysis Of Sample Charging And Neutralization, Matthew Robertson

Utah Space Grant Consortium

Excess charge on a material will affect the electron yield of the material. Electron yield is an attribute of materials which describe how the material behaves when irradiated with electrons. It is the ratio of the number of electrons going into the material over the number of electrons leaving the material. Understanding how a sample charges is important in both how it affects the electron yield and how it can be neutralized.

Comparing P-11b To D-3he Fusion For Direct Drive Fusion Rockets, Christopher Hooper

Utah Space Grant Consortium

Direct Fusion Drive (DFD) is a theoretical configuration that uses a magnetically confined fusing plasma to provide thrust for a rocket. In the words of the original authors, Princeton Satellite Systems (PSS) and Razinet al., it is “...a compact, anuetronic fusion engine [which] will enable more challenging exploration missions in the solar system.” DFD is proposed as a theoretical alternative to chemical and ion propulsion rockets – as seen in Table 1, it has clear advantages over both in exhaust velocity (specific impulse) and mass ratio, and a large advantage over ion propulsion in thrust and thrust-to-weight ratio. Despite being …

Air Quality Measurements In Ephraim, Ut, Alex Allred

Utah Space Grant Consortium

Standard Air Quality indicators: NO, NOx, SO2, CO, O3 and PM2.5 were measured in Ephraim, Sanpete county, Utah from Dec 16, 2020 -Mar 6, 2021. The Air quailty monitoring station was installed in December 2020 and is currently operating. Ephraim is located in a high mountain valley at 5541 feet elevation. Events of interest were evaluated using back trajectories and wind rose analysis.

Evaluating Gallium As A Catalyst For Silicon Nanodot Synthesis, Rylan Woods

Utah Space Grant Consortium

Silicon nanostructures, such as silicon nanowires and silicon nanodots, exhibit notably different thermoelectric, electric, and optical properties from bulk silicon. These nanostructures are ideal for utilization in a variety of electronic and optical devices ranging from batteries to solar panels. While various synthesis methods and catalysts exist for making silicon nanowires, gallium exhibits unique nanowire shapes compared to other catalyst metals such as gold or silver. This experiment uses gallium as a catalyst to form silicon nanostructures onoriented silicon substrate at temperatures of 0, 850, and 900ºC. Analyzing dosed samples via SEM resulted in several samples showing possible evidence of …

A Study Of Oxidation In Thin-Film Uranium-Niobium Alloys, Logan C. Page

Utah Space Grant Consortium

Uranium, a nuclear fuel material, can oxidize and degrade in reactor conditions. Previous studies have shown oxidation resistance in a uranium-niobium alloy, U-6Nb (six weight percent niobium in uranium). The nature of the oxides that form on sputtered U-6Nb thin films after long exposure to air was previously explored using neutron diffraction at Los Alamos National Laboratory. In the present work, we deposited thin films of uranium-niobium alloys for oxidation studies. We used ellipsometry to quantify the oxide growth over time as a function of niobium content. We found that the oxide thickness increases linearly with the logarithmic of time. …

Comparison Of Rayleigh-Scatter Lidar Temperature Climatologies In The Mesosphere And Lower Thermosphere Between The Traditional Reduction Method And The New Optimal Estimation Method, Jonathan Price

Utah Space Grant Consortium

An optimal estimation method (OEM) was used to obtain all-night temperature profiles from Rayleigh-scatter lidar (RSL) observations obtained by the original and updated lidar systems at Utah State University (USU). These data were used to produce annual climatologies of temperatures above USU. The climatology of temperatures from the original lidar, which operated from late 1993 through 2004, was compared with the climatology produced using the widely used Hauchecorne-Chanin method (HC). This comparison highlights the similarities at lower altitudes and differences, which start between 70 km and 80 km and extend to the top altitudes with the OEM temperatures warmer on …

Seeking The Origin Of Electromagnetic Signatures Of Black Holes, Alexandra B. Chanson

Utah Space Grant Consortium

Relativistic-jet formation in astrophysical black holes lacks a rigorously understood mechanism of energy extraction in the high-energy regime although, in recent years, progress has been made in extending the non-linear equations of Force-Free Electrodynamics (FFE) into the high-spin regime. In particular, M. J. Rodriguez and A. Strominger were able to show, using the Near Horizon Extremal Kerr spacetime, that the near horizon FFE solutions have an additional scaling symmetry which allows the construction of a pseudo-analytical infinite tower of solutions. These families of solutions stand in stark contrast to the relatively few full Kerr solutions found analytically: this tension can …

13c Chemical Shift Concentration Dependence Of Phenol, Anisole, And Their Sulfur Analogs As A Probe Into Anomalous Reactivity In Electrophilic Aromatic Substitution Reactions, Braxton Lowers, Adam Reed

The Pegasus Review: UCF Undergraduate Research Journal

The ¹³C chemical shift concentration dependence of phenol, anisole, thiophenol, and thioanisole in CDCl₃ was acquired and analyzed over various concentration ranges and reported with the intention of observing the effect of hydrogen bonding on the electron density around aromatic nuclei. Of the para carbon chemical shift concentration dependences observed, phenol exhibited the most significant concentration dependence. Attempts were made to determine the functions describing concentration dependence of the ¹³C chemical shifts observed. Notably, CDCl₃ was found to exhibit relatively nonlinear concentration dependence in the same range as the compounds observed, suggesting that trace impurity and …