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Ceo Power And R&D Investment, Christine Naaman, Li Sun Jul 2021

Ceo Power And R&D Investment, Christine Naaman, Li Sun

Faculty & Staff Research and Creative Activity

Purpose

This study aims to examine whether and how the power of a chief executive officer (CEO) relates to firm-level research and development (R&D) investment.

Design/methodology/approach

The authors use clustered standard errors ordinary least squares regression using a large sample of US firms from 1994 to 2017.

Findings

The authors find a significant negative relation between CEO power and R&D investment, suggesting that firms with more powerful CEOs are less likely to invest in R&D activities. Besides, the study finds that this significant negative relation is largely driven by firms with weaker corporate governance.

Originality/value

This study contributes to the …


Medical School Watercooler Newsletter - July 16, 2021, Lindsey Lyle Jul 2021

Medical School Watercooler Newsletter - July 16, 2021, Lindsey Lyle

Watercooler Newsletter

This is the July 16, 2021 edition of the Frederick P. Whiddon College of Medicine's newsletter - Watercooler.

Contents include:

  • Neonatologist Bianca Vamesu, M.D. joins pediatrics faculty
  • Researchers recognized for article on effects of DHA exposure
  • Meet a Med Student: Rachel Emig


Simplification, Not “Tropicalization”, Of Temperate Marine Ecosystems Under Ocean Warming And Acidification, Sylvain Agostini, Ben P. Harvey, Marco Milazzo, Shigeki Wada, Koetsu Kon, Nicolas Floc’H, Kosei Komatsu, Mayumi Kuroyama, Jm Hall‐Spencer Jul 2021

Simplification, Not “Tropicalization”, Of Temperate Marine Ecosystems Under Ocean Warming And Acidification, Sylvain Agostini, Ben P. Harvey, Marco Milazzo, Shigeki Wada, Koetsu Kon, Nicolas Floc’H, Kosei Komatsu, Mayumi Kuroyama, Jm Hall‐Spencer

More Faculty of Science and Engineering Research

No abstract provided.


Th2/Th1 Cytokine Imbalance Is Associated With Higher Covid-19 Risk Mortality, Ana B. Pavel, Jacob W. Glickman, James R. Michels, Seunghee Kim-Schulze, Rachel L. Miller, Emma Guttman-Yassky Jul 2021

Th2/Th1 Cytokine Imbalance Is Associated With Higher Covid-19 Risk Mortality, Ana B. Pavel, Jacob W. Glickman, James R. Michels, Seunghee Kim-Schulze, Rachel L. Miller, Emma Guttman-Yassky

Faculty and Student Publications

A major component of COVID-19 severe respiratory syndrome is the patient’s immune response to the SARS-CoV-2 virus and the consequential multi-organ inflammatory response. Several studies suggested a potential role of CD4+ T cells in COVID-19 severe respiratory syndrome. We first hypothesized that there is a type 2 helper (Th2)/type 1 helper (Th1) imbalance in older age, male, asthma, smokers, and high ACE2 expression phenotype in the airway of non-infected patients. Next, we hypothesized that a Th2/Th1 imbalance may predict higher mortality in COVID-19 infected hospitalized patients with and without patient reported current asthma. We first analyzed publicly available gene expression …


Epoxy Curing: Paramount Or Trivial? A Cure Path Dependent Inquiry, Jared Bates Jul 2021

Epoxy Curing: Paramount Or Trivial? A Cure Path Dependent Inquiry, Jared Bates

Dissertations

The presented research delves into epoxy network formation corroborating reactant concentration profiles and physical property development throughout cure, providing an experimental basis for burgeoning molecular dynamics and coarse-grained simulation methodologies. Herein, three primary subjects were investigated: the first two examine neat and toughened epoxide/amine network formation with respect to various cure profiles aimed at altering reaction pathways, the final chapter intends to augment traditionally utilized activation energy (Ea) methodologies.

Neat and toughened epoxide/amine slurries were monitored in-situ throughout cure via near infrared (NIR) spectroscopy and rheological techniques. Functional group conversion and moduli development were related with specific attention …


Unsupervised Anomaly Instance Segmentation For Baggage Threat Recognition, Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi Jul 2021

Unsupervised Anomaly Instance Segmentation For Baggage Threat Recognition, Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi

Computer Vision Faculty Publications

Identifying potential threats concealed within the baggage is of prime concern for the security staff. Many researchers have developed frameworks that can automatically detect baggage threats from security X-ray scans. However, to the best of our knowledge, all of these frameworks require extensive training efforts on large-scale and well-annotated datasets, which are hard to procure in the real world, especially for the rarely seen contraband items. This paper presents a novel unsupervised anomaly instance segmentation framework that recognizes baggage threats, in X-ray scans, as anomalies without requiring any ground truth labels. Furthermore, thanks to its stylization capacity, the framework is …


Quo Vadis Lakes Azuei And Enriquillo: A Future Outlook For Two Of The Caribbean Basin's Largest Lakes, Mahrokh Moknatian, Michael Piasecki Jul 2021

Quo Vadis Lakes Azuei And Enriquillo: A Future Outlook For Two Of The Caribbean Basin's Largest Lakes, Mahrokh Moknatian, Michael Piasecki

Publications and Research

Lakes Azuei (LA) and Enriquillo (LE) on Hispaniola Island started expanding in 2005 and continued to do so until 2016. After inundating large swaths of arable land, submerging a small community, and threatening to swallow a significant trade route between the Dominican Republic and Haiti; worries persisted at how far this seemingly unstoppable expansion would go. The paper outlines the approach to a look forward to answer this question vis-à-vis climate change scenarios developed by the Intergovernmental Panel on Climate Change (IPCC). It uses numerical representations of the two lakes, and it examines how the lakes might evolve, deploying three …


Visualizing Amino Acid Substitutions In A Physicochemical Vector Space, Louis R. Nemzer Jul 2021

Visualizing Amino Acid Substitutions In A Physicochemical Vector Space, Louis R. Nemzer

Chemistry and Physics Faculty Articles

A three-dimensional representation of the twenty proteinogenic amino acids in a physicochemical space is presented. Vectors corresponding to amino acid substitutions are classified based on whether they are accessible via a single-nucleotide mutation. It is shown that the standard genetic code establishes a “choice architecture” that permits nearly independent tuning of the properties related with size and those related with hydrophobicity. This work sheds light on the metarules of evolvability that may have shaped the standard genetic code to increase the probability that adaptive point mutations will be generated. An illustration of the usefulness of visualizing amino acid substitutions in …


An Empirical Analysis Of Factors Affecting Autonomous Truck Adoption, Christopher Mondy Jul 2021

An Empirical Analysis Of Factors Affecting Autonomous Truck Adoption, Christopher Mondy

Dissertations

Autonomous vehicles have the potential to revolutionize the transportation industry. The segment of truck transportation is no exception. Autonomous vehicles have the potential to improve trucking safety, to increase shipping velocity, and to decrease costs. Additionally, autonomous trucks could be an important tool to help alleviate the ongoing driver shortage that the trucking industry is contending with.

Autonomous truck adoption is not guaranteed. Transportation equipment decisions are market-based, and autonomous trucks must present a compelling business case to transportation professionals. As such, it is imperative to understand the decision-making factors that drive transportation solution adoption, and how autonomous trucks could …


An Open Source Cyberinfrastructure For Collecting, Processing, Storing And Accessing High Temporal Resolution Residential Water Use Data, Camilo J. Bastidas Pacheco, Joseph C. Brewer, Jeffery S. Horsburgh, Juan Caraballo Jul 2021

An Open Source Cyberinfrastructure For Collecting, Processing, Storing And Accessing High Temporal Resolution Residential Water Use Data, Camilo J. Bastidas Pacheco, Joseph C. Brewer, Jeffery S. Horsburgh, Juan Caraballo

Publications

Collecting and managing high temporal resolution residential water use data is challenging due to cost and technical requirements associated with the volume and velocity of data collected. We developed an open-source, modular, generalized architecture called Cyberinfrastructure for Intelligent Water Supply (CIWS) to automate the process from data collection to analysis and presentation of high temporal residential water use data. A prototype implementation was built using existing open-source technologies, including smart meters, databases, and services. Two case studies were selected to test functionalities of CIWS, including push and pull data models within single family and multi-unit residential contexts, respectively. CIWS was …


Designing A Virtual Reality Experience To Reduce Anxiety Of Children With Chd During The Perioperative Period, Yang Zhang Jul 2021

Designing A Virtual Reality Experience To Reduce Anxiety Of Children With Chd During The Perioperative Period, Yang Zhang

Theses - ALL

Children with congenital heart disease (CHD) often need to bear great anxiety related to various invasive surgeries and medical procedures. In a study of virtual reality technology in the medical industry, I found that it has great development potential in reducing children's anxiety. Therefore, the goals of this thesis project were to use virtual reality technology to reduce anxiety for children with CHD. Using previous research of anxiety in children with CHD and the solutions to children's anxiety in various hospitals, this thesis summarizes the design directions. Then, through interviews with pediatric cardiologists, child development experts, and children with coronary …


Running With The Land: Racial Capitalism, Restrictive Covenants, And The Pre-Redlining Roots Of The Private Real Estate Market In Syracuse, New York, Michael Thomas Kelly Jul 2021

Running With The Land: Racial Capitalism, Restrictive Covenants, And The Pre-Redlining Roots Of The Private Real Estate Market In Syracuse, New York, Michael Thomas Kelly

Theses - ALL

This thesis locates the roots of the private U.S. real estate market, and racially segregated housing geographies, within a broader, multi-century project of establishing, racializing, and spatializing private property in land. Using archival methods, I examine and directly connect late 18th century land speculation and settlement, early 20th century real estate capitalist class formation, and the construction of all-white suburban sub-divisions based on racially restricted covenants. I investigate the city of Syracuse – a small, post-industrial city in Upstate New York on unceded Onondaga Nation land and one of the most racially segregated cities in the United States. I argue …


Computational Investigation Of Biological Membranes, Allyson Karmazyn Jul 2021

Computational Investigation Of Biological Membranes, Allyson Karmazyn

Theses - ALL

Lipids are the building blocks of biological membranes, and the types of lipids that compose these cellular envelopes influence the physicochemical properties of the chemicals that can enter or exit the cell across the membrane. This work focuses on the lipid membrane compositions of eukaryotic (red blood cells) and prokaryotic (Pseudomonas aeruginosa) membranes. By analyzing the lipid-lipid and lipid-protein interactions results of the computational simulations, insights into lipid aggregation, bilayer leaflet behavior, membrane asymmetry, and small molecule transport through protein channels were obtained. The differences between prokaryotic and eukaryotic cell membranes are qualitative known; however, this work provides these concepts …


Integrated Water Quality Monitoring Of Skaneateles Lake Tributaries, Mengyi Zhang Jul 2021

Integrated Water Quality Monitoring Of Skaneateles Lake Tributaries, Mengyi Zhang

Theses - ALL

Skaneateles Lake is the drinking water source for the City of Syracuse and surrounding areas. Harmful algal blooms (HABs) have been occurring in Skaneateles Lake every year since 2017 and posing a great threat to water quality and drinking water safety. Although the exact cause of the HABs is still unclear, sunlight, quiescent conditions, warm temperature, and elevated concentrations of nitrogen and phosphorus seem to favor the development of such blooms. In this study, a custom-built, low-cost, multi-parameter sensor unit was designed, built, and deployed on a third-order tributary. The unit collected high-frequency data for stage, temperature, pH, and dissolved …


A Dosimetric Evaluation Of Increasing Scalp Sparing Between Varied Energy Photon Beams And Mlc Blocking Techniques Among Whole-Brain Irradiation Patients, Addah Riebschleger Jul 2021

A Dosimetric Evaluation Of Increasing Scalp Sparing Between Varied Energy Photon Beams And Mlc Blocking Techniques Among Whole-Brain Irradiation Patients, Addah Riebschleger

Masters Projects

Introduction

Whole brain radiation therapy (WBRT) is one of the most effective ways to treat brain metastases. Whole brain radiation therapy is typically planned 3D conformal with a right lateral and left lateral beam arrangement using a 6 mega voltage (MV) beam energy. Lower energy photon beams distribute a greater dose at surface level compared to higher energy photon beams. Using a higher energy photon beam (15 MV) to treat WBRT patients may reduce dose to the scalp and improve the patient’s overall quality of life (QOL).

Methods

The study is a retrospective dosimetric analysis of 10 randomly selected whole …


Evaluating Irrigation Performance And Water Productivity Using Eeflux Et And Ndvi, Usha Poudel, Haroon Stephen, Sajjad Ahmad Jul 2021

Evaluating Irrigation Performance And Water Productivity Using Eeflux Et And Ndvi, Usha Poudel, Haroon Stephen, Sajjad Ahmad

Civil and Environmental Engineering and Construction Faculty Research

Southern California’s Imperial Valley (IV) faces serious water management concerns due to its semi-arid environment, water-intensive crops and limited water supply. Accurate and reliable irrigation system performance and water productivity information is required in order to assess and improve the current water management strategies. This study evaluates the spatially distributed irrigation equity, adequacy and crop water productivity (CWP) for two water-intensive crops, alfalfa and sugar beet, using remotely sensed data and a geographical information system for the 2018/2019 crop growing season. The actual crop evapotranspiration (ETa) was mapped in Google Earth Engine Evapotranspiration Flux, using the linear interpolation method in …


Evaluation Of Nurse Staffing, Engagement And Satisfaction In A South Carolina Rehabilitation Facility: Impact On Patient Outcomes, Eileen Klang Jul 2021

Evaluation Of Nurse Staffing, Engagement And Satisfaction In A South Carolina Rehabilitation Facility: Impact On Patient Outcomes, Eileen Klang

Doctor of Nursing Practice (DNP) Manuscripts

An acute care rehabilitation facility in Horry County, South Carolina was the setting for this program evaluation of nurse staffing, engagement and satisfaction and if those factors had any effect on patient outcomes in the facility. Nursing department staffing, engagement and patient outcome data was evaluated for trends and themes. Through stakeholder meetings, data was collected, a qualitative and quantitative satisfaction survey was administered to nursing staff. Evaluation of the data occurred and revealed multiple factors that led to nursing department turnover between 2018 and 2020. During the increase in turnover, it was noted that patient falls, and catheter associated …


Thermal And Mechanical Analysis Of Bombyx Mori Silk Nanofibers, Justin Busnot Jul 2021

Thermal And Mechanical Analysis Of Bombyx Mori Silk Nanofibers, Justin Busnot

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

This thesis presents a study on the thermomechanical properties of Bombyx Mori silk nanofibers. These nanofibers were obtained from silkworm cocoons which were degummed to separate the fibroin and the sericin, the two proteins that make up silk. The fibroin was then centrifuged to remove insoluble particles and stored and 4°C before the electrospinning process. A parametric study of the electrospinning process was carried out in order to identify the factors allowing to obtain optimal mechanical properties. The current as well as the flow rate applied, the diameter of the syringe, the distance separating the syringe from collector or even …


The Biodiversity Of Freshwater Crustaceans Revealed By Taxonomy And Mitochondrial Dna Barcodes, Adrian Amelio Vasquez, Brittany L. Bonnici, Donna R. Kashian, Jorge Trejo-Martinez, Carol J. Miller, Jeffrey L. Ram Jul 2021

The Biodiversity Of Freshwater Crustaceans Revealed By Taxonomy And Mitochondrial Dna Barcodes, Adrian Amelio Vasquez, Brittany L. Bonnici, Donna R. Kashian, Jorge Trejo-Martinez, Carol J. Miller, Jeffrey L. Ram

Physiology Faculty Research Publications

Cytochrome oxidase subunit I (COI) barcode sequences in this file were obtained from specimens collected by plankton net in western Lake Erie in 2012 & 2013, along with later specimens collected at various locations and times, including some collected in Belize in 2015. Methods and other details about these sequences are described in a paper by the same authors in a submitted publication (2021: URL to be given here when published). The right columns below contain additional notes on lengths of sequences, GenBank accession ID (when obtained), and annotation as to whether the sequence represents a new barcode for its …


A Multi-Stage Seir(D) Model Of The Covid-19 Epidemic In Korea, Hee-Young Shin Jul 2021

A Multi-Stage Seir(D) Model Of The Covid-19 Epidemic In Korea, Hee-Young Shin

Economics Faculty Publications

Background: This paper uses a SEIR(D) model to analyse the time-varying transmission dynamics of the COVID-19 epidemic in Korea throughout its multiple stages of development. This multi-stage estimation of the model parameters offers a better model fit compared to the whole period analysis and shows how the COVID-19's infection patterns change over time, primarily depending on the effectiveness of the public health authority's non-pharmaceutical interventions (NPIs). Methods: This paper uses the SEIR(D) compartment model to simulate and estimate the parameters for three distinctive stages of the COVID-19 epidemic in Korea, using a manually compiled COVID-19 epidemic dataset for the period …


Optical Printing Of Multiscale Hydrogel Structures, Zheng Xiong Jul 2021

Optical Printing Of Multiscale Hydrogel Structures, Zheng Xiong

Dissertations - ALL

Hydrogel has been a promising candidate to recapitulate the chemical, physical and mechanical properties of natural extracellular matrix (ECM), and they have been widely used for tissue engineering, lab on a chip and biophotonics applications. A range of optical fabrication technologies such as photolithography, digital projection stereolithography and laser direct writing have been used to shape hydrogels into structurally complex functional devices and constructs. However, it is still greatly challenging for researchers to design and fabricate multiscale hydrogel structures using a single fabrication technology.

To address this challenge, the goal of this work is the design and develop novel multimode …


Understanding The Time Course Of Bias In Simple Memorial Decisions, Ryan Andrew Curl Jul 2021

Understanding The Time Course Of Bias In Simple Memorial Decisions, Ryan Andrew Curl

Dissertations - ALL

Abstract

Decisions that are generally considered to be determined by memory (memorial decisions) are influenced by factors beyond just our memory. Our perceptions, desires, preconceived notions and our actual memory all influence how we utilize our memories in order make decisions and our general ability to navigate our world. For example, consider trying to identify former high school classmates at your high school reunion vs. at a random location outside your hometown. Your memory for the former high school classmates is the same between these two scenarios, but your expectations are not. Thus, it is intuitive to assume that your …


Comparing Effectiveness And Perceived Characteristics Of Active Learning Methods In Undergraduate Biology Education, Linda R. Pesciotta Jul 2021

Comparing Effectiveness And Perceived Characteristics Of Active Learning Methods In Undergraduate Biology Education, Linda R. Pesciotta

Dissertations - ALL

Although many undergraduates begin college as STEM majors, attrition rates from the field are high and numerous reports suggest that evidence-based teaching methods are critical for retention. Despite educators' research and near consensus that active learning is more effective than lecture, there are many types of active learning and the literature indicates their effects are not equivalent. The purpose of the current study was to directly compare different kinds of active learning by assessing their correlation with student performance (including learning gains) and understanding students' perceptions of them (including whether they contained Merrill's five principles of instruction and/or met three …


Mathematical Optimization Algorithms For Model Compression And Adversarial Learning In Deep Neural Networks, Tianyun Zhang Jul 2021

Mathematical Optimization Algorithms For Model Compression And Adversarial Learning In Deep Neural Networks, Tianyun Zhang

Dissertations - ALL

Large-scale deep neural networks (DNNs) have made breakthroughs in a variety of tasks, such as image recognition, speech recognition and self-driving cars. However, their large model size and computational requirements add a significant burden to state-of-the-art computing systems. Weight pruning is an effective approach to reduce the model size and computational requirements of DNNs. However, prior works in this area are mainly heuristic methods. As a result, the performance of a DNN cannot maintain for a high weight pruning ratio. To mitigate this limitation, we propose a systematic weight pruning framework for DNNs based on mathematical optimization. We first formulate …


Occasional Groups In Crowdsourcing Platforms, Mahboobeh Harandi Jul 2021

Occasional Groups In Crowdsourcing Platforms, Mahboobeh Harandi

Dissertations - ALL

Contributors to online crowdsourcing systems generally work independently on pieces of the product but in some cases, task interdependencies may require collaboration to develop a final product. These collaborations though take a distinctive form because of the nature of crowdsourced work. Collaboration may be implicit instead of explicit. Individuals engaged in a group conversation may not stay with the group for long, i.e., the group is an ``occasional group.'' Occasional group interactions are often not well supported by systems, as they are not designed for team work. This dissertation examines the characteristics and work of occasional groups in the Gravity …


Sharing Hearts: Buddhist Charity And Urbanization In Vietnam, Sara Ann Swenson Jul 2021

Sharing Hearts: Buddhist Charity And Urbanization In Vietnam, Sara Ann Swenson

Dissertations - ALL

My dissertation analyzes how and why volunteers joined or established grassroots Buddhist charities in Ho Chi Minh City. I spoke with approximately 400 members of 25 charities, focusing on seven main groups that shared an overlapping network of volunteers. My research includes perspectives from demographic groups often excluded from positions of authority in institutionalized Buddhism and, in turn, Buddhist studies scholarship, such as low-income day laborers, elderly women, Buddhist nuns at peri-urban temples, and a lay community of queer "same-gender-loving" [đồng tính] men. Despite their marginalization from formal leadership in Vietnam's state-managed National Buddhist Sangha, volunteers claimed social and moral …


Treadmill Assisted Circumvention Of Wearable Sensors-Based Gait Authentication, Rajesh Kumar Jul 2021

Treadmill Assisted Circumvention Of Wearable Sensors-Based Gait Authentication, Rajesh Kumar

Dissertations - ALL

Wearable sensor-based gait patterns are considered a promising means for future authentication systems. This dissertation examines whether circumvention of such systems can be accomplished by imitating sensor readings and providing external mechanical support. The specific machine that we used in the experiment was a digital treadmill, which provides a suitable platform for the human imitators to control, adjust and adapt several factors, such as speed, step-length, step-width, and thigh-lift that affect sensor readings. Moreover, it was easy for imitators to remember the gait factors' specific levels and repeat the learned pattern on-demand over a treadmill.

Two novel imitation-based attacks are …


Cultivating A New Transnational Elite: Parenting, Schooling, And Belonging In The Age Of Global It, Adrienne Lee Atterberry Jul 2021

Cultivating A New Transnational Elite: Parenting, Schooling, And Belonging In The Age Of Global It, Adrienne Lee Atterberry

Dissertations - ALL

Why do highly educated, affluent, and seemingly well-settled immigrants leave their country of migration and return to their country of origin? How do return migrants prepare their children to become the next generation of transnationally mobile professionals? As a result of their upbringing in two countries, how do transnationally mobile children and youth understand their ethnic identity and national belonging? I address these questions, and more, by analyzing 95 conversations with Indian and first-generation Indian American return migrants, their children, and Indian American alumni of local high schools who live in Bangalore, a city in South India known as 'Silicon …


Terrorism Hazard And Infrastructure Projects: The Moderating Role Of Home Experience And Institutions, Alfredo Jiménez, Nathaniel C. Lupton Jul 2021

Terrorism Hazard And Infrastructure Projects: The Moderating Role Of Home Experience And Institutions, Alfredo Jiménez, Nathaniel C. Lupton

Faculty Research, Scholarly, and Creative Activity

This paper analyzes the impact of terrorism hazard on the performance of private participation infrastructure projects. Applying transaction cost theory, we hypothesize that terrorism hazard has a negative relationship with infrastructure project completion, and that host government accountability and investor experience with terrorism hazard have opposing impacts on this relationship. Host government accountability, we argue, produces higher indirect costs of managing terrorism hazard, which reduces investor confidence, and reinforces the negative relationship between terrorism hazard and the probability of satisfactory project completion. Conversely, investor’s experience with terrorism hazard increases investor confidence and hence partially mitigates the negative consequences of terrorism …


Performance Analysis And Learning Algorithms In Advanced Wireless Networks, Xueyuan Wang Jul 2021

Performance Analysis And Learning Algorithms In Advanced Wireless Networks, Xueyuan Wang

Dissertations - ALL

Over the past decade, wireless data traffic has experienced an exponential growth, especially with multimedia traffic becoming the dominant traffic, and such growth is expected to continue in the near future. This unprecedented growth has led to an increasing demand for high-rate wireless communications.Key solutions for addressing such demand include extreme network densification with more small-cells, the utilization of high frequency bands, such as the millimeter wave (mmWave) bands and terahertz (THz) bands, where more bandwidth is available, and unmanned aerial vehicle (UAV)-enabled cellular networks. With this motivation, different types of advanced wireless networks are considered in this thesis. In …