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2020

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2020 Event Schedule, Illinois Mathematics And Science Academy Nov 2020

2020 Event Schedule, Illinois Mathematics And Science Academy

TEDxYouth@IMSA Documents

No abstract provided.


Measuring Research Contributions Of Prof. Anurag Kumar: A Scientometric Analysis, Suresh Balutagi, Sidlingappa M. Huded, K Nirmala Devi Nov 2020

Measuring Research Contributions Of Prof. Anurag Kumar: A Scientometric Analysis, Suresh Balutagi, Sidlingappa M. Huded, K Nirmala Devi

Library Philosophy and Practice (e-journal)

The present study aims to measure the contributions of Prof. Anurag Kumar, who served as the Director at the Indian Institute of Science (IISc) in Bengaluru between August 2014 to July 2020. He has contributed 181 publications during his 36 years of career. He has published his majority of publications 171 (94.48%) in collaboration; most active collaborators with Prof. Anurag Kumar are Altman E. with (17) publications, Kuri Joy (15), Anand (14), and Singh (12). His highest Collaboration Coefficient found is 0.73 in 2013, and the highest Modified Collaboration Coefficient is 1.33 in the year 2018. The highest degree of …


Reactions To A Pandemic: The Coronavirus Brings Mathematicians To The Front Line, Ami Radunskaya Nov 2020

Reactions To A Pandemic: The Coronavirus Brings Mathematicians To The Front Line, Ami Radunskaya

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Deformed Gaussian Operators On Weighted Q-Fock Spaces, Nobuhiro Asai, Hiroaki Yoshida Nov 2020

Deformed Gaussian Operators On Weighted Q-Fock Spaces, Nobuhiro Asai, Hiroaki Yoshida

Journal of Stochastic Analysis

No abstract provided.


Subproduct Systems And Cartesian Systems: New Results On Factorial Languages And Their Relations With Other Areas, Malte Gerhold, Michael Skeide Nov 2020

Subproduct Systems And Cartesian Systems: New Results On Factorial Languages And Their Relations With Other Areas, Malte Gerhold, Michael Skeide

Journal of Stochastic Analysis

No abstract provided.


Statistical Analysis Of The Research Journal Of Physical Education And Sports Sciences The Shield, Saeed Ullah Jan, Dr. Saeed Ullah Jan Nov 2020

Statistical Analysis Of The Research Journal Of Physical Education And Sports Sciences The Shield, Saeed Ullah Jan, Dr. Saeed Ullah Jan

Library Philosophy and Practice (e-journal)

This quantitative study was carried out in 2018 with the analysis of eleven published issues of “Research journal; The Shield” from 2006 to 2016. The authors attempted to find the numbers of articles per year, authorship pattern, length of articles, form of cited documents, the ranking of contributors and country-wise contribution of first authors. The printed version of Shield issues along with web-based issues was consulted for the analysis. The data were entered into Excel sheets for refinement and interpretation. Journal papers are the more cited documents as per the analysis of the research articles. The contribution of Pakistani scholars …


Working Toward Linguistically And Culturally Responsive Math Teaching Through A Year-Long Urban Teacher Training Program For English Learners, Kim Song, Sarah A. Coppersmith Nov 2020

Working Toward Linguistically And Culturally Responsive Math Teaching Through A Year-Long Urban Teacher Training Program For English Learners, Kim Song, Sarah A. Coppersmith

Educator Preparation & Leadership Faculty Works

This qualitative study examined how participating in-service teachers demonstrated linguistically and culturally responsive mathematical teaching (LCRMT) competences after they completed a year-long National Professional Development Program grant-funded project. A two-dimensional LCRMT framework was developed to measure participating teachers’ mathematical and mathematics-related competences. The qualitative data source was from three in-service teachers’ observations and interviews. The interview and observation data were analyzed using open and axial coding and activity systems. Three themes emerged: 1) mathematics-related content teaching practices, 2) tools to support mathematics learning, and 3) teachers’ mindsets and attitudes towards English Learner (EL) teaching. The researchers then compared verbatim examples …


Jim Bognet V. Secretary Commonwealth Of Pa Nov 2020

Jim Bognet V. Secretary Commonwealth Of Pa

2020 Decisions

USDC for the Western District of Pennsylvania


Usa V. Devon Sanders Nov 2020

Usa V. Devon Sanders

2020 Decisions

USDC for the Eastern District of Pennsylvania


Mental Health Literacy In A Diverse Sample Of Undergraduate Students: Demographic, Psychological, And Academic Correlates, Rona Miles, Laura Rabin, Anjali Krishnan, Evan Grandoit, Kamil Kloskowski Nov 2020

Mental Health Literacy In A Diverse Sample Of Undergraduate Students: Demographic, Psychological, And Academic Correlates, Rona Miles, Laura Rabin, Anjali Krishnan, Evan Grandoit, Kamil Kloskowski

Publications and Research

Background: Investigating variables associated with mental health literacy in the college-age population takes us one step closer to providing intervention for this vulnerable group, where growing rates of psychological disorders are a serious public concern. This study adds to the existing literature by incorporating, within a single model, multi-faceted variables (demographic, psychological, and academic) that contribute to mental health literacy in demographically and ethnically diverse college students.

Methods: Participants were undergraduate students enrolled at nine different colleges that are part of a large, urban, public university system. A total of 1213 respondents (62.0% female, 73.3% non-white) completed an in- person …


Ucc Minutes Nov 13, 2020, Undergraduate Curriculum Committee Nov 2020

Ucc Minutes Nov 13, 2020, Undergraduate Curriculum Committee

Undergraduate Currirculum Committee Minutes

No abstract provided.


A Reflection Of Real Time Educational, Within-Subjects Data In Diverse Classrooms: One-Way Anova As A Solution To Data With Nonignorable Missingness And Skew, Amilynn N. Campa Nov 2020

A Reflection Of Real Time Educational, Within-Subjects Data In Diverse Classrooms: One-Way Anova As A Solution To Data With Nonignorable Missingness And Skew, Amilynn N. Campa

Honors Program Theses and Research Projects

Schools across the United States and throughout the world administer tests to students to evaluate their academic performance. In many instances, however, especially in classrooms with higher populations of racial/ethnic minorities and low SES students, there are often missing scores, attributed to higher rates of absenteeism among these demographics (Callahan, 2019; Friedman-Krauss & Raver, 2015; Evans, 2004). When evaluating within subjects, longitudinal data, many will utilize a pre, post significance test such as a paired samples T test or a Repeated Measures ANOVA, however, due to the assumptions of these tests, missing data has posed a problem and requires data …


The Transition From Stochastic To Deterministic Bacterial Community Assembly During Permafrost Thaw Succession, Stacey J. Doherty, Robyn A. Barbato, A. Stuart Grandy, W. Kelley Thomas, Sylvain Monteux, Ellen Dorrepaal, Margareta Johansson, Jessica G. Ernakovich Nov 2020

The Transition From Stochastic To Deterministic Bacterial Community Assembly During Permafrost Thaw Succession, Stacey J. Doherty, Robyn A. Barbato, A. Stuart Grandy, W. Kelley Thomas, Sylvain Monteux, Ellen Dorrepaal, Margareta Johansson, Jessica G. Ernakovich

Faculty Publications

The Northern high latitudes are warming twice as fast as the global average, and permafrost has become vulnerable to thaw. Changes to the environment during thaw leads to shifts in microbial communities and their associated functions, such as greenhouse gas emissions. Understanding the ecological processes that structure the identity and abundance (i.e., assembly) of pre- and post-thaw communities may improve predictions of the functional outcomes of permafrost thaw. We characterized microbial community assembly during permafrost thaw using in situ observations and a laboratory incubation of soils from the Storflaket Mire in Abisko, Sweden, where permafrost thaw has occurred over the …


Ethoxylation And Polymerization Of Cardanol Derived Bifunctional Monomers, James Mgaya Nov 2020

Ethoxylation And Polymerization Of Cardanol Derived Bifunctional Monomers, James Mgaya

Journal of Humanities and Social Sciences

Cardanol and its derivative; 3-(non-8-enyl)phenol (obtained by ethenolysis reaction of cardanol) were ethoxylated via one-pot reaction with urea and ethylene glycol using Na2CO3/ZnO as co-catalysts. The ethoxylates were later methoxycarbonylated using a 1,2-bis(ditertbutylphosphinomethyl)benzene (DTBPMB) modified palladium catalyst to produce ethoxylated bifunctional monomers. Polymerization of these monomers by heating in the presence of a standard polymerization catalyst, Ti(OBu)4, formed oligomers that were plastic-like. Analysis of these oligomers by MALDI-TOF MS indicated the condensation of up to nine monomer units.


New Metal Based Saturable Absorber For Ultrashort Pulse Generation, Muhammad Taufiq Ahmad Nov 2020

New Metal Based Saturable Absorber For Ultrashort Pulse Generation, Muhammad Taufiq Ahmad

Student Works (2020-2029)

Cost-efficient, robust and flexible laser systems are vital for a wide-range of applications ranging from high-precision material processing to biomedicine. This thesis aims to explore pure silver and gold based saturable absorbers (SAs) as Q-switcher and mode-locker in various fibre laser cavities. The generations of Q-switched pulses in 1-,1.55-, and 2-micron regions have been successfully demonstrated using a pure gold, which was deposited using electron beam deposition onto a PVA thin-film as SA. For instance, a stable Q-switched thulium-doped fibre laser (TDFL) operating at 1949 nm was successfully demonstrated with the gold SA. The proposed laser generates Q switched pulses …


Identification Of Ecg Anomalies Through Deep Deterministic Learning, Uzair Iqbal Nov 2020

Identification Of Ecg Anomalies Through Deep Deterministic Learning, Uzair Iqbal

Student Works (2020-2029)

Electrocardiography (ECG) is a primary diagnostic tool for measuring the malfunctioning of the heart muscles in the context of morbidity of different cardiac diseases and arrhythmia. Different existing techniques and methods delivered accurate cardiac diseases myocardial infarction (heart stroke) and atrial fibrillation recognition. However, there are still some flaws in existing methods like recognition of special myocardial infarction situation flattened T wave in “Non-Specific ST-T Changes (nsst-t)” and reduction of computational cost in cardiac diseases recognition. Accurate recognition of cardiac diseases along with least computational complexity and feature analysis of flattened T wave in myocardial infarction remains an open job. …


Countermeasures Against Various Network Attacks Using Machine Learning Methods, Yi Li Nov 2020

Countermeasures Against Various Network Attacks Using Machine Learning Methods, Yi Li

USF Tampa Graduate Theses and Dissertations

With the rapid development of a computer network, our lives are already inseparable from it. Wireless Fidelity (Wi-Fi) is in use everywhere; more and more devices are connected to the Internet, and many companies and individuals tend to store their data and information online. Furthermore, it is now very convenient to communicate with each other through email and text messages. However, widespread networks also provide more attack surfaces for attackers. There are a variety of network attacks aimed at information theft. To better defend against those network attacks, one needs to have a broad knowledge of existing attacks. In this …


A Posteriori Error Estimates For Elliptic Eigenvalue Problems Using Auxiliary Subspace Techniques, Stefano Giani, Luka Grubišić, Harri Hakula, Jeffrey S. Ovall Nov 2020

A Posteriori Error Estimates For Elliptic Eigenvalue Problems Using Auxiliary Subspace Techniques, Stefano Giani, Luka Grubišić, Harri Hakula, Jeffrey S. Ovall

Mathematics and Statistics Faculty Publications and Presentations

We propose an a posteriori error estimator for high-order p- or hp-finite element discretizations of selfadjoint linear elliptic eigenvalue problems that is appropriate for estimating the error in the approximation of an eigenvalue cluster and the corresponding invariant subspace. The estimator is based on the computation of approximate error functions in a space that complements the one in which the approximate eigenvectors were computed. These error functions are used to construct estimates of collective measures of error, such as the Hausdorff distance between the true and approximate clusters of eigenvalues, and the subspace gap between the corresponding true and approximate …


Chimes: November 13, 2020, Calvin University Nov 2020

Chimes: November 13, 2020, Calvin University

Chimes

Profs plan to prevent cheating on online finals by Jamison Van Andel

Case spike traced to off-campus socializing, administration says by Alex Raycroft

Professor publishes book exploring public land, conservative politics by Ezra Craker

Social work intern organizes care package program for isolated students by Abigail Ham

Interim changes cause problems for engineering students by Katherine Benedict

Nursing prof recognized for outstanding work in reproductive health by Sarah Gibes

Thanksgiving brings tough choices for some, no options for others by Abigail Ham


System Support Of Concurrent Database Query Processing On A Gpu, Hao Li Nov 2020

System Support Of Concurrent Database Query Processing On A Gpu, Hao Li

USF Tampa Graduate Theses and Dissertations

The unrivaled computing capabilities of modern GPUs meet the demand of processing massive amounts of data seen in many application domains. While traditional HPC systems support applications as standalone entities that occupy the entire GPU, we propose a GPU-based DBMS (G-DBMS) that can run multiple tasks concurrently. To that end, system-level management mechanisms like resource allocation and buffer manager are needed to build such a concurrent database query processing system and fully unleash the GPUs’ computing power. However, CUDA does not provide enough OS-level functionalities to support it. Thus our research is focusing on implementing the optimization of resource allocation …


Development Of Next-Generation, Fast, Accurate, Transferable, And Polarizable Force-Fields For Heterogenous Material Simulations, Adam E. Hogan Nov 2020

Development Of Next-Generation, Fast, Accurate, Transferable, And Polarizable Force-Fields For Heterogenous Material Simulations, Adam E. Hogan

USF Tampa Graduate Theses and Dissertations

Theoretical modeling is extremely useful in guiding to experiment; however quantitatively accurate modeling of energy-relevant small molecule sorption at the heterogeneous interfaces present in metal-organic materials (MOMs) is currently challenging. MOMs are an emerging class of materials consisting of inorganic clusters and organic linkers that offer great potential in the areas of gas storage, gas separation, and catalysis due to the possibility of large surface areas, complex heterogeneous surfaces, and rational designability. Efficient chemical separations involving these materials could reduce the US’s total energy consumption by approximately 10 to 15%. In this dissertation, the parameterization of small molecules and metal …


Isolation Of Specific Phospholipids From Nannochloropsis Oculata Microalga For Cosmetic Applications, Ahmet Yener Manisali Nov 2020

Isolation Of Specific Phospholipids From Nannochloropsis Oculata Microalga For Cosmetic Applications, Ahmet Yener Manisali

USF Tampa Graduate Theses and Dissertations

Algae, photosynthetic aquatic organisms, have recently caught the attention of the food, cosmetic, pharmaceutical, and nutraceutical industries due to the variety of natural compounds in their cellular bodies such as carbohydrates, lipids, and proteins. Specifically, microalgae-derived natural compounds such as phospholipids are extensively utilized in cosmetics as part of liposome formers, emulsifiers, solubilizers, and wetting agents. Although phospholipids are currently extracted from food sources, this practice raises sustainability concerns. Hence, growing microalgae on the provision of macronutrients such as nitrates and phosphates will serve as a more sustainable source of the several specific phospholipids such as phosphatidylcholine (PC), phosphatidyl-ethanolamine (PE), …


Climate Change And Sustainable Development Within The Tourism Sector Of Small Island Developing States: A Case Study For The Bahamas, Arsum Pathak Nov 2020

Climate Change And Sustainable Development Within The Tourism Sector Of Small Island Developing States: A Case Study For The Bahamas, Arsum Pathak

USF Tampa Graduate Theses and Dissertations

The research literature suggests Small Island Developing States (SIDS) are vulnerable to climate change. Tourism in SIDS is sensitive to climate variations and dependence of the sector on natural resources (beaches, coral reefs) adds to their vulnerability. The purpose of this study is to assess climate impacts and adaptation within the tourism sector of a SIDS – The Bahamas that relies on tourism and faces climate vulnerabilities, as do other SIDS. Given the importance of tourism to their sustainable development by supporting economic growth and employment, this study identifies timely risks and adaptation planning for a tourism-based SIDS economy in …


Plio-Pleistocene Antarctic Ice-Ocean Interactions In The Ross Sea, Catherine Prunella Nov 2020

Plio-Pleistocene Antarctic Ice-Ocean Interactions In The Ross Sea, Catherine Prunella

USF Tampa Graduate Theses and Dissertations

Warm, intermediate-depth Southern Ocean waters are implicated in recent Antarctic ice mass loss. Direct observations of Antarctic Ice Sheet (AIS) retreat are temporally limited, necessitating paleoceanographic records of ocean-ice interactions during past warm climate intervals. Deepsea and ice-proximal sediments record orbitally-paced glacial-interglacial fluctuations in AIS volume during the Plio-Pleistocene (last 5 million years; Ma), but the total contribution of the AIS and the role of ocean heat in these fluctuations remain unresolved. To address the response of Antarctica’s ice sheets to changing ocean temperatures during the Plio-Pleistocene, International Ocean Discovery Program (IODP) Expedition 374 recovered sediments from the Ross Sea …


Corporate Brand Impact On Sales / Revenue Per Share, Brad A. Puckey Nov 2020

Corporate Brand Impact On Sales / Revenue Per Share, Brad A. Puckey

USF Tampa Graduate Theses and Dissertations

The purpose of this dissertation is to identify the linkage between the corporate brand and sales / revenue per share growth. Utilizing a unique database, the CoreBrand® Index, this study is a quantitative analysis of the interaction between the corporate brand and financial data. A relationship between corporate brand and financial data has been suspected by practitioners; however, it has never been proven. For the first time, quantitative analysis is conducted in this dissertation using this unique dataset.

This study is intended to help those responsible for managing corporate brands to better understand their impacts and benefits. The more that …


Modeling Early Life: Ontogenetic Growth And Behavior Affect Population Connectivity In Gulf Of Mexico Marine Fish, Kelly Vasbinder Nov 2020

Modeling Early Life: Ontogenetic Growth And Behavior Affect Population Connectivity In Gulf Of Mexico Marine Fish, Kelly Vasbinder

USF Tampa Graduate Theses and Dissertations

This dissertation is an examination of growth, behavior, and dispersal during the early life stages of marine fishes in the Gulf of Mexico. Understanding movements of early life stages is a key part of managing exploited fish populations. Position in the water column can impact larval dispersal, since it determines those currents to which larvae are exposed. First, I investigated the relationship between length and age in early life stages of marine fishes. I found that demersal fish taxa tend to be represented by exponential models, while pelagic fish tend to be represented by linear models. I suggest this may …


Characterizing Childhood And Diet In Migration Period Hungary, Kirsten A. Verostick Nov 2020

Characterizing Childhood And Diet In Migration Period Hungary, Kirsten A. Verostick

USF Tampa Graduate Theses and Dissertations

This project investigates children, childhood and diet of two different Migration Period (4th-8th century AD) populations, the Gepids and the Avars, in the Great Hungarian Plain. The main goal was to assess whether there are differences in treatment of children and differences in breastfeeding and weaning practices in these distinct sites and populations. Secondarily, this research also focused on characterizing diet for the Gepids and the Avars at four different sites from the Migration Period, to understand how the migration and settling into the region and the assimilation of other groups into the two populations affected their …


Conversion From Metal Oxide To Mof Thin Films As A Platform Of Chemical Sensing, Meng Chen Nov 2020

Conversion From Metal Oxide To Mof Thin Films As A Platform Of Chemical Sensing, Meng Chen

USF Tampa Graduate Theses and Dissertations

Chemical sensor is working as a widely used device which can be applied to the detection of specific chemicals that are existing in the environment especially in gas phase. The detection of combustible and toxic chemicals can be extremely important in the field of both industrial and civil activities. The chemical sensor is commonly operating by utilizing a chemical or physical interaction between the specific chemical compound and the sensing functional unit, to obtain an electronic signal caused by the property change and realize the chemical detection. Traditional chemical gas sensors such as catalytic gas sensor, thermal conductivity gas sensor, …


Fort Hays State University Tiger Weekly, November 13, 2020, University Relations Nov 2020

Fort Hays State University Tiger Weekly, November 13, 2020, University Relations

Tiger Weekly Newsletters

No abstract provided.


Proximity-Induced Magnetization In Graphene: Towards Efficient Spin Gating, Mihovil Bosnar, Ivor Lončarić, P. Lazić, Kirill Belashchenko, Igor Žutić Nov 2020

Proximity-Induced Magnetization In Graphene: Towards Efficient Spin Gating, Mihovil Bosnar, Ivor Lončarić, P. Lazić, Kirill Belashchenko, Igor Žutić

Kirill Belashchenko Publications

Gate-tunable spin-dependent properties could be induced in graphene at room temperature through the magnetic proximity effect by placing it in contact with a metallic ferromagnet. Because strong chemical bonding with the metallic substrate makes gating ineffective, an intervening passivation layer is needed. Previously considered passivation layers result in a large shift of the Dirac point away from the Fermi level, so that unrealistically large gate fields are required to tune the spin polarization in graphene (Gr). We show that a monolayer of Au or Pt used as the passivation layer between Co and graphene brings the Dirac point closer to …