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Full-Text Articles in Physical Sciences and Mathematics

Development Of A Land Cover Characteristics Data Base For The Conterminous U.S., Thomas R. Loveland, James W. Merchant, Donald O. Ohlen, Jesslyn F. Brown Jan 9999

Development Of A Land Cover Characteristics Data Base For The Conterminous U.S., Thomas R. Loveland, James W. Merchant, Donald O. Ohlen, Jesslyn F. Brown

Conservation and Survey Division

No abstract provided.


How Blockchain Solutions Enable Better Decision Making Through Blockchain Analytics, Sammy Ter Haar May 2022

How Blockchain Solutions Enable Better Decision Making Through Blockchain Analytics, Sammy Ter Haar

Information Systems Undergraduate Honors Theses

Since the founding of computers, data scientists have been able to engineer devices that increase individuals’ opportunities to communicate with each other. In the 1990s, the internet took over with many people not understanding its utility. Flash forward 30 years, and we cannot live without our connection to the internet. The internet of information is what we called early adopters with individuals posting blogs for others to read, this was known as Web 1.0. As we progress, platforms became social allowing individuals in different areas to communicate and engage with each other, this was known as Web 2.0 ...


Meas: Exploring Links Between Implementation And Standards Mastery, Noah Silver Apr 2022

Meas: Exploring Links Between Implementation And Standards Mastery, Noah Silver

Honors Projects

In order to effectively enhance a student’s mathematical understanding and development in the field of mathematics, students need to engage in problem solving. Model eliciting activities, or MEAs, provide students with tasks that promote higher level thinking and the ability to utilize mathematics outside of the classroom; they also align and promote the utilization of the Common Core State Standards and Standards for Mathematical Practice. Research suggests that the language and motivation promoted by MEAs enriches engagement and increases student ability and performance of traditional and real-world mathematics. Use of technology further supports these goals. Through the analysis of ...


Building Capacity For Data-Driven Scholarship, Jamie Rogers Mar 2022

Building Capacity For Data-Driven Scholarship, Jamie Rogers

Works of the FIU Libraries

This talk provides an overview of "dLOC as Data: A Thematic Approach to Caribbean Newspapers," an initiative developed to increase access to digitized Caribbean newspaper text for bulk download, facilitating computational analysis. Capacity building for future research in Caribbean Studies being a crucial aspect of this initiative, a thematic toolkit was developed to facilitate use of the project data as well as provide replicable processes. The toolkit includes sample text analysis projects, as well as tutorials and detailed project documentation. While the toolkit focuses on the history of hurricanes and tropical cyclones of the region, the methodologies and tools used ...


Blockchain: Key Principles, Nadezda Chikurova Feb 2022

Blockchain: Key Principles, Nadezda Chikurova

Dissertations, Theses, and Capstone Projects

“Blockchain: Key Principles” is an interactive visual project that explains the importance of data privacy and security, decentralized computing, and open-source software in the modern digital world through the history of the underlying principles of blockchain technology. Some of these key concepts have their roots in the time before the Information Age. By explaining the history of these principles, I want to present the fact that over the past centuries, humanity has been fighting for their privacy, security, and the ability to efficiently express themselves one way or another. Blockchain technology, which was introduced to the public in 2008 through ...


2022 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2022

2022 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


2022 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2022

2022 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


2022 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2022

2022 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


2022 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2022

2022 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


“Transitioning Organisations From A Data Quagmire To Knowledge Nirvana Through The Digital Thread”, David Twohig, Barry Heavey Dec 2021

“Transitioning Organisations From A Data Quagmire To Knowledge Nirvana Through The Digital Thread”, David Twohig, Barry Heavey

Level 3

Historically, organisations have managed product data in a combination of Microsoft Office, Sharepoint and Document Management Systems. In this paper, we explore how different technologies can be leveraged to create digital product profiles, and in doing so structure data to enable effective knowledge management.


The Temple Of Immensity: For Choir And Electronics, Steven Naylor Dec 2021

The Temple Of Immensity: For Choir And Electronics, Steven Naylor

Honors Projects

the temple of immensity is a composition for 16-part choir and fixed media electronics composed by Steven Naylor using astronomical data concerning the stars nearest to Earth and their properties. “The temple of immensity” is an archaic and rarely used term, defined as “the universe or the complete overhead expanse of the heavens, especially as conceived as an object of religious reverence.” This piece seeks to convey feelings of wonder and awe for outer space through the setting of an original self-composed poem and through the use of star data to determine musical aspects. The resulting 28-minute composition blends voices ...


Priority Areas For Action And Research On Pastoralism And Rangelands In Eastern Africa, M. O. Odhiambo Oct 2021

Priority Areas For Action And Research On Pastoralism And Rangelands In Eastern Africa, M. O. Odhiambo

International Grassland Congress Proceedings

There is an element of irony around pastoralism and research in Eastern Africa. While it is one of the most researched production and livelihood systems, pastoralism is also the least understood by policymakers and development actors, with discussions about its importance characterized by significant gaps in knowledge. What is more, policy actors have difficulties accessing empirical data specific to pastoralism and rangelands in a form that allows well-founded decision-making on policy and action. Most available data tend to be out of date and not disaggregated with reference to pastoralism and rangelands. As a result, much of the discourse around pastoralism ...


Accurate And Integrative Detection Of Copy Number Variants With High-Throughput Data, Xizhi Luo Jul 2021

Accurate And Integrative Detection Of Copy Number Variants With High-Throughput Data, Xizhi Luo

Theses and Dissertations

Copy number variation, as a major source of genetic variation in the human genome, are gains or losses of the DNA segments. Copy number variation has gained considerable interest as it plays important roles in human complex diseases. Therefore, accurate detection of CNVs with data generated by modern genotyping technologies, such as SNP array and whole-exome sequencing (WES), comprises a critical step toward a better understanding of disease etiology. However, current statistical methodologies for CNV detection still face analytical challenges due to numerous genetic and technological factors that may lead to spurious findings. First, existing methods assume the independent observations ...


Data Analysis And Visualization To Dismantle Gender Discrimination In The Field Of Technology, Quinn Bolewicki Jun 2021

Data Analysis And Visualization To Dismantle Gender Discrimination In The Field Of Technology, Quinn Bolewicki

Dissertations, Theses, and Capstone Projects

In the United States, a significant population is facing an uphill battle trying to thrive in an industry that has seen exponential growth in recent years. Women, who account for approximately 50.8% of the U.S. population are statistically underpaid and underrepresented in science, technology, engineering, and mathematics (STEM). Despite women-led technology teams establishing a 21% greater return on investment than teams who don’t, and young women largely outperforming men in math according to a 2015 study, there are only three fortune 500 companies led by women, and they comprise only 10% of internet entrepreneurs. Research generates hundreds ...


Counting On The News: Data And Sentimentality. A 40-Year Text Analysis Of The New York Times., Angela J. Schmitt May 2021

Counting On The News: Data And Sentimentality. A 40-Year Text Analysis Of The New York Times., Angela J. Schmitt

Joseph Wharton Scholars

This paper set out to analyze trends in data usage within mainstream American news. Analyzing a sample of over 60,000 New York Times articles from 1981 to 2021, data usage, article subjectivity, and article polarity were measured. The purpose of this analysis was to test whether the prevailing narrative that the past 20 years is the ‘data age’ and that data usage is bigger than ever was true within the context of print journalism. Overall, current public confidence in mainstream newspapers is low and readership is decreasing. Thus, the value of journalists as collectors, interpreters, and presenters of data ...


How Risk-Related Statistics, As Reported In News And Social Media, Are Linked To The Use Of The Public Transit System, Prashiddhi Pokhrel Apr 2021

How Risk-Related Statistics, As Reported In News And Social Media, Are Linked To The Use Of The Public Transit System, Prashiddhi Pokhrel

Thinking Matters Symposium

Due to the pandemic, people have started relying more on televisions, news, social media, and other news outlets for guidance. Moreover, with the increasing amount of news, data, and information there is also an increase in the amount of misleading statistics. People’s opinions and decisions significantly depend on the data, statistics, and information that they are exposed to, as well as their sources. For this project, we want to look at how information and its sources are affecting the decision made by the general public for the usage of the Portland Transit System. It is very important to know ...


Security Against Data Falsification Attacks In Smart City Applications, Venkata Praveen Kumar Madhavarapu Jan 2021

Security Against Data Falsification Attacks In Smart City Applications, Venkata Praveen Kumar Madhavarapu

Doctoral Dissertations

Smart city applications like smart grid, smart transportation, healthcare deal with very important data collected from IoT devices. False reporting of data consumption from device failures or by organized adversaries may have drastic consequences on the quality of operations. To deal with this, we propose a coarse grained and a fine grained anomaly based security event detection technique that uses indicators such as deviation and directional change in the time series of the proposed anomaly detection metrics to detect different attacks. We also built a trust scoring metric to filter out the malicious devices. Another challenging problem is injection of ...


2021 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2021

2021 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


2021 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2021

2021 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


Law Library Blog (January 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law Jan 2021

Law Library Blog (January 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.


2021 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2021

2021 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


2021 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2021

2021 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


Gis Data: Calvert County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Calvert County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

These shoreline inventory files have been generated to support the application of the Living Shoreline Suitability Model (LSSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes all the features needed as inputs to run the LSSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the ...


Gis Data: Talbot County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Talbot County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

These shoreline inventory files have been generated to support the application of the Living Shoreline Suitability Model (LSSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes all the features needed as inputs to run the LSSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the ...


Gis Data: Dorchester County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Dorchester County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

These shoreline inventory files have been generated to support the application of the Living Shoreline Suitability Model (LSSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes all the features needed as inputs to run the LSSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the ...


Gis Data: Anne Arundel County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Anne Arundel County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

These shoreline inventory files have been generated to support the application of the Living Shoreline Suitability Model (LSSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes all the features needed as inputs to run the LSSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the ...


Public Interest Technology – Exploring Covid-19 Health Data, Sarah Zelikovitz Jan 2021

Public Interest Technology – Exploring Covid-19 Health Data, Sarah Zelikovitz

Open Educational Resources

This module is part of a Introduction to Data Science course that covers the different parts of the data science process: data acquisition, cleaning, exploratory data analysis, and modeling. The COVID-19 pandemic has created much interest in public health data, as well as interest in visualization of all types of data. Public health data has a set of challenges that is unique to health data, with HIPAA laws, and real time collection of data. With COVID-19, the challenges are particularly amplified, as data collection and statistics collected are constantly changing in response to feedback from labs, hospitals, drug companies, and ...


A Data-Based Guiding Framework For Digital Transformation, Zakaria Maamar, Saoussen Cheikhrouhou, Said Elnaffar Jan 2021

A Data-Based Guiding Framework For Digital Transformation, Zakaria Maamar, Saoussen Cheikhrouhou, Said Elnaffar

All Works

This paper presents a framework for guiding organizations initiate and sustain digital transformation initiatives. Digital transformation is a long-term journey that an organization embarks on when it decides to question its practices in light of management, operation, and technology challenges. The guiding framework stresses out the importance of data in any digital transformation initiative by suggesting 4 stages referred to as collection, processing, storage, and dissemination. Because digital transformation could impact different areas of an organization for instance, business processes and business models, each stage suggests techniques to expose data. 2 case studies are adopted in the paper to illustrate ...


Data And Assessment Management In Collegiate Recreation, Jeana Carow Dec 2020

Data And Assessment Management In Collegiate Recreation, Jeana Carow

Graduate Theses and Dissertations

Collegiate recreation programs and centers typically provide traditional programming space in addition to a range of physical activity spaces and resources, as a valuable part of the student experience. The external pressures of identifying and communicating departmental value and impact on the campus community has resulted in collegiate recreation departments’ use of data to communicate the effectiveness and impact of their work. The purpose of the study was to identify the data collection and assessment management practices of collegiate recreation departments, particularly focusing on the organization of data and assessment strategies as well as data collection, storage, reporting, analyzing, and ...


Logistic Regression Under Sparse Data Conditions, David A. Walker, Thomas J. Smith Sep 2020

Logistic Regression Under Sparse Data Conditions, David A. Walker, Thomas J. Smith

Journal of Modern Applied Statistical Methods

The impact of sparse data conditions was examined among one or more predictor variables in logistic regression and assessed the effectiveness of the Firth (1993) procedure in reducing potential parameter estimation bias. Results indicated sparseness in binary predictors introduces bias that is substantial with small sample sizes, and the Firth procedure can effectively correct this bias.