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Articles 1 - 30 of 551

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 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 ...


Intellect Models Used To Search For Data In Stochastic Information Environment In Data Systems, Bahodir Muminov, Ulug'bek Bekmurodov, Zarif Qodirov, Sunnat Hojiyev Apr 2021

Intellect Models Used To Search For Data In Stochastic Information Environment In Data Systems, Bahodir Muminov, Ulug'bek Bekmurodov, Zarif Qodirov, Sunnat Hojiyev

Bulletin of TUIT: Management and Communication Technologies

IDEF models of the method of forming a semantic connection through calculations of the relevance on the basis of the area with the zone and attributes, and the calculation of the most cost-effective value of g, the method of calculating the weight of the data frequency and the frequency with inverse data, based on the model of intellectual semantic search, the creation of the ISIDR in the SIS and for software.


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.


Vaccine Clinical Trials And Data Infrastructure, Ana Santos Rutschman Jan 2021

Vaccine Clinical Trials And Data Infrastructure, Ana Santos Rutschman

All Faculty Scholarship

We find ourselves at a momentous turn in the history of vaccines. The COVID-19 pandemic triggered a quasi-global vaccine race that not only compressed vaccine research and development (R&D) timelines, but also paved the way for the administration of a new type of vaccine technology – mRNA vaccines, which work in substantially different ways from the vaccines in use before the pandemic.

While the process of bringing emerging COVID-19 vaccines to market has taken place in an unusually short timeframe, it was largely predicated on the same scientific and regulatory processes that govern the development, approval and deployment of new ...


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 ...


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: 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: 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 ...


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

Data And Assessment Management In Collegiate Recreation, Jeana Carow

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.


Data, Stats, Go: Navigating The Intersections Of Cataloging, E-Resource, And Web Analytics Reporting, Rachel S. Evans, Wendy Moore, Jessica Pasquale, Andre Davison Jul 2020

Data, Stats, Go: Navigating The Intersections Of Cataloging, E-Resource, And Web Analytics Reporting, Rachel S. Evans, Wendy Moore, Jessica Pasquale, Andre Davison

Presentations

Do you trudge through gathering statistics at fiscal or calendar year-end? Do you wonder why you track certain things, thinking many seem outdated or irrelevant? Many places seem to keep counting certain statistics because "that's what they've always done." For e-resources, how do you integrate those with physical counts and reconcile the variations (updated e-resources versus re-cataloged physical items)? What about repository downloads and other web traffic? The quantity of stats that libraries track is staggering and keeps growing. This program will encourage attendees to stop and evaluate what and why they're gathering data and help identify ...


Methane Emission Estimated From Different Cattle Intake Data In Heifers Grazing A Tropical Pasture, José Augusto Imaz, O. Hernández, D. Dos Santos, A. Radrizzani, J. I. Arroquy May 2020

Methane Emission Estimated From Different Cattle Intake Data In Heifers Grazing A Tropical Pasture, José Augusto Imaz, O. Hernández, D. Dos Santos, A. Radrizzani, J. I. Arroquy

International Grassland Congress Proceedings

The quantification of methane (CH4) from enteric fermentation related to cattle diet is a useful tool to identify strategies to mitigate greenhouse gas emissions. This is even important in tropical and subtropical regions due to the lack of CH4 estimations in beef cattle, particularly from Bos Indicus breeds grazing tropical grasses (Kurihara et al., 1999). Several modelling approaches have been developed in order to predict CH4 emission. However, the use of these models has limitations associated with uncertainty information required such as feed intake (FI), composition of the selected diet and animal responses (Gonzalez et al., 2014 ...


Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou May 2020

Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou

International Journal of Geospatial and Environmental Research

This paper presents an exploratory spatial data analysis (ESDA) of road traffic crashes at different severity levels in West Virginia (WV). Although ESDA can support transportation safety decision-making by helping planners understand and summarize crash data, it is underutilized in practice. This paper describes the application of five representative easy-to-use method to identify crash patterns and high crash-risk counties in WV. Analysis of crash data from 2010 to 2015 indicated that traffic crashes in WV were not spatially correlated. However, crash severities were found to be positively correlated.


Rdc Data Alternatives: Conducting Research During Covid-19, Kristi Thompson, Elizabeth Hill Apr 2020

Rdc Data Alternatives: Conducting Research During Covid-19, Kristi Thompson, Elizabeth Hill

Western Libraries Presentations

Recent physical distancing protocols pertaining to the COVID-19 Pandemic have meant that RDC researchers need to find alternatives ways of carrying out their research. The Real Time Remote Access (RTRA) program offers one alternative way to access confidential Statistics Canada data. Other options include using the Statistics Canada public use files and analyzing data from other sources.

The presenters, data librarians from Western Libraries will discuss the differences between the data that can be accessed through the RTRA the RDC. RTRA data is a very useful option for some types of questions but also has some important limitations. We will ...


Context Aware Data Generation Through Domain Specific Language, Caleb Druckemiller Apr 2020

Context Aware Data Generation Through Domain Specific Language, Caleb Druckemiller

Other Student Works

No abstract provided.


Boom Or Bust: Examining The Relationship Between High School Recruiting Rankings And The Nfl Draft, Nicholas E. Tice Apr 2020

Boom Or Bust: Examining The Relationship Between High School Recruiting Rankings And The Nfl Draft, Nicholas E. Tice

Senior Theses

The goal of this thesis is to model the probability of a high school football player’s chance of being drafted based on information taken from their recruiting profile. The response variable is binary and defined as drafted (1) or undrafted (0). The independent variables were collected by scraping data from the recruiting websites including height, weight, position, hometown, recruiting grade and other socioeconomic factors based on the player’s high school. 247Sports and ESPN were the two recruiting services used and compared in this study. Because of the binary nature of the dependent variable, logistic regression and decision trees ...


Marine Carbonyl Sulfide (Ocs) And Carbon Disulfide (Cs2): A Compilation Of Measurements In Seawater And The Marine Boundary Layer, Sinikka T. Lennartz, Christa A. Marandino, Marc Von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory A. Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, Xiaobin Xu Mar 2020

Marine Carbonyl Sulfide (Ocs) And Carbon Disulfide (Cs2): A Compilation Of Measurements In Seawater And The Marine Boundary Layer, Sinikka T. Lennartz, Christa A. Marandino, Marc Von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory A. Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, Xiaobin Xu

OEAS Faculty Publications

Carbonyl sulfide (OCS) and carbon disulfide (CS2) are volatile sulfur gases that are naturally formed in seawater and exchanged with the atmosphere. OCS is the most abundant sulfur gas in the atmosphere, and CS2 is its most important precursor. They have attracted increased interest due to their direct (OCS) or indirect (CS2 via oxidation to OCS) contribution to the stratospheric sulfate aerosol layer. Furthermore, OCS serves as a proxy to constrain terrestrial CO2uptake by vegetation. Oceanic emissions of both gases contribute a major part to their atmospheric concentration. Here we present a database of previously ...


Art, Artfulness, Or Artifice?: A Review Of The Art Of Statistics: How To Learn From Data, By David Spiegelhalter, Jason Makansi Jan 2020

Art, Artfulness, Or Artifice?: A Review Of The Art Of Statistics: How To Learn From Data, By David Spiegelhalter, Jason Makansi

Numeracy

David Spiegelhalter. 2019. The Art of Statistics: How to Learn From Data. (London: The Penguin Group). 444 pp. ISBN 978-1541618510

The author successfully eases the reader away from the rigor of statistical methods and calculations and into the realm of statistical thinking. Despite an engaging style and attention-grabbing examples, the reader of The Art of Statistics will need more than a casual grounding in statistics to get what Spiegelhalter, I believe, intends from his book. It should be viewed as a companion to a more rigorous textbook on statistical methods but not necessarily a book that makes statistics any less ...


Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani Jan 2020

Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani

Statistics and Probability

No abstract provided.


Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani Jan 2020

Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani

Statistics and Probability

No abstract provided.


Equinox Ten Year Trend Analysis: Housing, Michelle Jones, Christopher Holguin Jan 2020

Equinox Ten Year Trend Analysis: Housing, Michelle Jones, Christopher Holguin

San Diego Regional Quality of Life Dashboard

This report was prepared for The Nonprofit Institute at the University of San Diego by the Center for Sustainable Energy. This is a ten year trend analysis (2010-2020) on housing in San Diego County.


Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez Jan 2020

Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez

SMART Infrastructure Facility - Papers

The Smart City and Internet-of-Things revolutions enable the collection of various types of data in real-time through sensors. This data can be used to improve the decision tools and simulations used by city planners. This paper presents a new framework for real-time traffic simulation integrating an agent-based methodology with live CCTV and other sensor data while respecting the privacy regulations. The framework simulates traffic flows of pedestrians, vehicles and bicycles and their interactions. The approach has been applied in Liverpool (NSW, Australia) showing promising preliminary results and can easily ingest additional sensor data, e.g. air quality.


Fy 2020 Umass Amherst Waste Management Report, Ezra Small Jan 2020

Fy 2020 Umass Amherst Waste Management Report, Ezra Small

Campus Data

Each year the Office of Waste Management publishes this report which totals recycling and refuse data for the campus.


A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos Jan 2020

A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos

Senior Projects Fall 2020

Segmentation is a well-studied area of research for speech, but the segmentation of music has typically been treated as a separate domain, even though the same acoustic cues that constitute information in speech (e.g., intensity, timbre, and rhythm) are present in music. This study aims to sew the gap in research of speech and music segmentation. Musicians can discern where musical phrases are segmented. In this study, these boundaries are predicted using an algorithmic, machine learning approach to audio processing of acoustic features. The acoustic features of musical sounds have localized patterns within sections of the music that create ...


Data Governance And The Emerging University, Michael J. Madison Jan 2020

Data Governance And The Emerging University, Michael J. Madison

Book Chapters

Knowledge and information governance questions are tractable primarily in institutional terms, rather than in terms of abstractions such as knowledge itself or individual or social interests. This chapter offers the modern research university as an example. Practices of data-intensive research by university-based researchers, sometimes reduced to the popular phrase “Big Data,” pose governance challenges for the university. The chapter situates those challenges in the traditional understanding of the university as an institution for understanding forms and flows of knowledge. At a broad level, the chapter argues that the new salience of data exposes emerging shifts in the social, cultural, and ...


2020 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2020

2020 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


2020 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2020

2020 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


2020 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science Jan 2020

2020 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science

Miscellaneous

No abstract provided.


A Data Analysis Of The World Happiness Index And Its Relation To The North-South Divide, Charles Alba Dec 2019

A Data Analysis Of The World Happiness Index And Its Relation To The North-South Divide, Charles Alba

Undergraduate Economic Review

In this document, we perform a detailed data analysis on the World Happiness Report with its relation to the socio-economic North-South Divide. In order to do so, we perform some extensive data cleaning and analysis before querying on the World Happiness Report. Our results based on Hypothesis Testing determines the happiness of the Global North is greater than that of the Global South. Furthermore, our queries show that the mean happiness score for the Global North significantly outweighing that of the South. Likewise, the 10 'Happiest' nations all belong to the Global North whereas the 10 'least happy' nations belong ...