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Articles 1171 - 1200 of 2496
Full-Text Articles in Physical Sciences and Mathematics
Measuring The Performance Of Property Management Companies In Highriseflats, Daniel Chi Wing Ho, Ervi Liusman
Measuring The Performance Of Property Management Companies In Highriseflats, Daniel Chi Wing Ho, Ervi Liusman
Faculty of Design & Environment (THEi)
Purpose: The complex nature of multi-ownership, multi-storey buildings requires the services of property management companies (PMCs). Naturally, homeowners favor PMCs with good performance. Yet, their performances vary. The purpose of this paper is to measure the performance of PMCs in managing high-rise flats using the logic model as the contextual framework with its indicators adapted from the building quality index (BQI) scheme.
Design/Methodology/Approach: For this pilot study, the research was based on visual inspection and interviews with building management staff for the information concerning the output and outcome indicators. The authors also tested the relationship between outcomes and outputs and …
Analysis Of The Construction Waste Management Performance In Hongkong: The Public And Private Sectors Compared Using Big Data, Weisheng Lu, Xi Chen, Daniel Chi Wing Ho, Hongdi Wang
Analysis Of The Construction Waste Management Performance In Hongkong: The Public And Private Sectors Compared Using Big Data, Weisheng Lu, Xi Chen, Daniel Chi Wing Ho, Hongdi Wang
Faculty of Design & Environment (THEi)
There is an ongoing debate concerning the disparity between the public and private sectors in relation to construction waste management (CWM) performance: some argue that CWM performance between the two sectors should have no difference since they are under the governance of the same set of CWM related regulations, while others argue that public sector clients should perform better as they are subject to greater social scrutiny. Previous studies comparing CWM performance have suffered from insufficient quality data, leaving the debate on the CWM performance disparity largely inconclusive. Informed by the Coase Invariant Theorem, this research empirically compares CWM performance …
The Kretschmann Scalar, Charles G. Torre
The Kretschmann Scalar, Charles G. Torre
How to... in 10 minutes or less
On a pseudo-Riemannian manifold with metric g, the "Kretschmann scalar" is a quadratic scalar invariant of the Riemann R tensor of g, defined by contracting all indices with g. In this worksheet we show how to calculate the Kretschmann scalar from a metric.
Gis Data: Prince George County And The City Of Hopewell, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, David Stanhope, Karen Duhring, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: Prince George County And The City Of Hopewell, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie G. Bradshaw, David Stanhope, Karen Duhring, Jessica Hendricks, David Weiss, Carl Hershner
Data
The 2016 Tidal Marsh Inventory update for Prince George County and the City of Hopewell, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that …
Gis Data: Accomack County, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Kory Angstadt, Christine Tombleson, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: Accomack County, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Kory Angstadt, Christine Tombleson, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Data
The 2016 Tidal Marsh Inventory update for Accomack County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: Accomack County, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Kory Angstadt, Christine Tombleson, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl H. Hershner
Gis Data: Accomack County, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Kory Angstadt, Christine Tombleson, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl H. Hershner
Data
The 2016 Inventory for Accomack County was generated using on-screen, digitizing techniques in ArcGIS® - ArcMap v10.2.2 while viewing conditions observed in Bing high resolution oblique imagery, Google Earth, and 2013 imagery from the Virginia Base Mapping Program (VBMP). Four GIS shapefiles are developed. The first describes land use and bank conditions (AccomackCo_lubc_2016). The second portrays the presence of beaches (AccomackCo_beaches_2016). The third reports shoreline structures that are described as arcs or lines (e.g. riprap) (AccomackCo_sstru_2016). The final shapefile includes all structures that are represented as points (e.g. piers) (AccomackCo_astru_2016). The metadata file accompanies the shapefiles and defines attribute accuracy, …
Gis Data: Prince George County And The City Of Hopewell, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: Prince George County And The City Of Hopewell, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Jessica Hendricks, David Weiss, Carl Hershner
Data
The 2016 Inventory for Prince George County and the City of Hopewell was generated using on-screen, digitizing techniques in ArcGIS® - ArcMap v10.2.2 while viewing conditions observed in Bing high resolution oblique imagery, Google Earth, and 2013 imagery from the Virginia Base Mapping Program (VBMP). Four GIS shapefiles are developed. The first describes land use and bank conditions (PrinceGeorge_Hopewell _lubc_2016). The second portrays the presence of beaches (PrinceGeorge_Hopewell_beaches_2016). The third reports shoreline structures that are described as arcs or lines (e.g riprap) (PrinceGeorge_Hopewell _sstru_2016). The final shapefile includes all structures that are represented as points (e.g. piers) (PrinceGeorge_Hopewell_astru_2016). The metadata …
Gis Data: Accomack County Shoreline Management Model, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Kory Angstadt, Christine Tombleson, Karen A. Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: Accomack County Shoreline Management Model, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Kory Angstadt, Christine Tombleson, Karen A. Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Data
The Shoreline Management Model is a GIS spatial model that determines appropriate shoreline best management practices using available spatial data and decision tree logic. Available shoreline conditions used in the model include the presence or absence of tidal marshes, beaches, and forested riparian buffers, bank vegetation cover, bank height, wave exposure (fetch), nearshore water depth, and proximity of coastal development to the shoreline. The model output for shoreline best management practices is displayed in the locality Comprehensive Map Viewer. One GIS shapefile is developed that describes two arcs or lines representing practices in the upland area and practices at the …
Historical Processes And Contemporary Ocean Currents Drive Genetic Structure In The Seagrass Thalassia Hemprichii In The Indo-Australian Archipelago [Dataset], Udhi E. Hernawan, Kor-Jent Van Dijk, Gary A. Kendrick, Ming Feng, Edward Biffin, Paul Lavery, Kathryn Mcmahon
Historical Processes And Contemporary Ocean Currents Drive Genetic Structure In The Seagrass Thalassia Hemprichii In The Indo-Australian Archipelago [Dataset], Udhi E. Hernawan, Kor-Jent Van Dijk, Gary A. Kendrick, Ming Feng, Edward Biffin, Paul Lavery, Kathryn Mcmahon
Research Datasets
Understanding spatial patterns of gene flow and genetic structure is essential for the conservation of marine ecosystems. Contemporary ocean currents and historical isolation due to Pleistocene sea-level fluctuations have been predicted to influence the genetic structure in marine populations. In the Indo-Australian Archipelago (IAA), the world's hotspot of marine biodiversity, seagrasses are a vital component but population genetic information is very limited. Here, we reconstructed the phylogeography of the seagrass Thalassia hemprichii in the IAA based on single nucleotide polymorphisms (SNPs) and then characterised the genetic structure based on a panel of 16 microsatellite markers. We further examined the relative …
Data From: How Uncertainty In The Neutral Wind Limits The Accuracy Of Ionospheric Modeling And Forecasting, Michael David, Jan Sojka, Robert W. Schunk
Data From: How Uncertainty In The Neutral Wind Limits The Accuracy Of Ionospheric Modeling And Forecasting, Michael David, Jan Sojka, Robert W. Schunk
Browse all Datasets
Output files from runs of the TDIM ionospheric model used for the figures and calculations in the article in JGR Space Physics.
Gis Data: City Of Chesapeake Shoreline Management Model, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: City Of Chesapeake Shoreline Management Model, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Data
The Shoreline Management Model is a GIS spatial model that determines appropriate shoreline best management practices using available spatial data and decision tree logic. Available shoreline conditions used in the model include the presence or absence of tidal marshes, beaches, and forested riparian buffers, bank vegetation cover, bank height, wave exposure (fetch), nearshore water depth, and proximity of coastal development to the shoreline. The model output for shoreline best management practices is displayed in the locality Comprehensive Map Viewer. One GIS shapefile is developed that describes two arcs or lines representing practices in the upland area and practices at the …
Gis Data: City Of Chesapeake, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: City Of Chesapeake, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Data
The 2016 Tidal Marsh Inventory update for City of Chesapeake, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.
Gis Data: City Of Chesapeake, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon A. Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen A. Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: City Of Chesapeake, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon A. Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen A. Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner
Data
The 2016 Inventory for City of Chesapeake was generated using on-screen, digitizing techniques in ArcGIS® - ArcMap v10.2.2 while viewing conditions observed in Bing high resolution oblique imagery, Google Earth, and 2013 imagery from the Virginia Base Mapping Program (VBMP). Four GIS shapefiles are developed. The first describes land use and bank conditions (Chesapeake_lubc_2016). The second portrays the presence of beaches (Chesapeake_beaches_2016). The third reports shoreline structures that are described as arcs or lines (e.g. riprap) (Chesapeake_sstru_2016). The final shapefile includes all structures that are represented as points (e.g. piers) (Chesapeake_astru_2016). The metadata file accompanies the shapefiles and defines attribute …
Gis Data: Prince George County And The City Of Hopewell, Virginia Shoreline Management Model, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Jessica Hendricks, David Weiss, Carl Hershner
Gis Data: Prince George County And The City Of Hopewell, Virginia Shoreline Management Model, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, David Stanhope, Karen Duhring, Jessica Hendricks, David Weiss, Carl Hershner
Data
The Shoreline Management Model is a GIS spatial model that determines appropriate shoreline best management practices using available spatial data and decision tree logic. Available shoreline conditions used in the model include the presence or absence of tidal marshes, beaches, and forested riparian buffers, bank vegetation cover, bank height, wave exposure (fetch), nearshore water depth, and proximity of coastal development to the shoreline. The model output for shoreline best management practices is displayed in the locality Comprehensive Map Viewer. One GIS shapefile is developed that describes two arcs or lines representing practices in the upland area and practices at the …
Lefttailbounds.Zip, Iosif Pinelis
Lefttailbounds.Zip, Iosif Pinelis
Iosif Pinelis
Ckat Software, Debashis Ghosh, Xiang Zhan
Ckat Software, Debashis Ghosh, Xiang Zhan
Debashis Ghosh
Calculations.Zip, Iosif Pinelis
Calculations.Zip, Iosif Pinelis
Iosif Pinelis
The Separation And Analysis Of Symmetric And Asymmetric Dimethylarginine And Other Hydrophilic Isobaric Compounds Using Aqueous Normal Phase Chromatography, Seiichiro Watanabe
The Separation And Analysis Of Symmetric And Asymmetric Dimethylarginine And Other Hydrophilic Isobaric Compounds Using Aqueous Normal Phase Chromatography, Seiichiro Watanabe
Seiichiro Watanabe
2014 Chesapeake Bay Sav Coverage, Sav Data Administrator, Virginia Institute Of Marine Science
2014 Chesapeake Bay Sav Coverage, Sav Data Administrator, Virginia Institute Of Marine Science
Data
Abstract: The 2014 Chesapeake Bay SAV Coverage was mapped from 1:24,000 black and white aerial photography and digital multispectral imagery with a 25cm GSD to assess water quality in the Bay. Each area of SAV was interpreted from the rectified photography and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS fetaure class using the quality control procedures documented below. The dataset contains all SAV areas that were identified from the areas flown. Some areas that are presumed to contain no SAV were not flown. Some small beds, …
Calculus: An Integrated Approach, Matthew E. Cathey, Joseph A. Spivey
Calculus: An Integrated Approach, Matthew E. Cathey, Joseph A. Spivey
Faculty Books
This is a self-published digital textbook “Calculus: An Integrated Approach” by Matt Cathey and Joseph Spivey. The textbook covers a two-semester calculus sequence for Wofford College. The text is freely available for use under the terms of the creative commons copyright, found in the textbook file. The free software application Wolfram Player is required to read the textbook; it can be downloaded here: https://www.wolfram.com/player/.
Here is a video showing important features of the textbook: https://www.youtube.com/watch?v=lAPxqZP_LQg .
Here is a video helping Mac users troubleshoot the most common issues in installing and opening the textbook: https://www.youtube.com/watch?v=lAPxqZP_LQg .
The complete, up-to-date …
On The Construction Of Simply Connected Solvable Lie Groups, Mark E. Fels
On The Construction Of Simply Connected Solvable Lie Groups, Mark E. Fels
Research Vignettes
This worksheet contains the implementation of Theorems 4.2, 5.4 and 5.7 in the paper On the Construction of Solvable Lie Groups. All the examples in the paper are demonstrated here, along with one in Section 6 that was too long to include in the article.
Differentialgeometry In Brno, Ian M. Anderson
Differentialgeometry In Brno, Ian M. Anderson
Presentations
This page will provide files supporting Ian Anderson's presentations in Brno, December 2015. The files can be found and downloaded from "Additional Files", below.
The files include:
(1) DifferentialGeometryUSU.mla: This is the Maple Library Archive file which provides all the DifferentialGeometry functionality. Here are Installation Instructions.
(2) DifferentialGeometry.help : this is the latest version of the DifferentialGeometry documentation. Copy this file to the same directory used for DifferentialGeometryUSU.mla (from step (1)).
Classical Examples Of Bäcklund Transformations (Examples 3.1, 3.2, 5.1), Ian M. Anderson, Mark E. Fels
Classical Examples Of Bäcklund Transformations (Examples 3.1, 3.2, 5.1), Ian M. Anderson, Mark E. Fels
Research Vignettes
This worksheet contains the detailed calculations for Example 3.1, Example 3.2, and Example 5.1 in the paper Bäcklund Transformations for Darboux Integrable Differential Systems: Examples and Applications.
A Backlund Transformation For The A2 Toda System (Example 3.4), Ian M. Anderson, Mark E. Fels
A Backlund Transformation For The A2 Toda System (Example 3.4), Ian M. Anderson, Mark E. Fels
Research Vignettes
This worksheet amplifies results associated to example 3.4 in "Backlund Transformations for Darboux Integrable Differential Systems: Examples and Applications".
Backlund Transformation For 3 Rt + 1 = 0 (Example 3.4), Ian M. Anderson, Mark E. Fels
Backlund Transformation For 3 Rt + 1 = 0 (Example 3.4), Ian M. Anderson, Mark E. Fels
Research Vignettes
In this worksheet we give all the calculations for Example 3.4 in "Backlund Transformations for Darboux Integrable Differential Systems: Examples and Applications"
Tidal Flat Morphodynamics: A Synthesis, C. T. Friedrichs
Tidal Flat Morphodynamics: A Synthesis, C. T. Friedrichs
Presentations
No abstract provided.
Controls On Suspended Particle Properties And Water Clarity Along A Partially-Mixed Estuary, York River, Virginia, Usa, K. A. Fall, C. T. Friedrichs, G. M. Cartwright, D. G. Bowers
Controls On Suspended Particle Properties And Water Clarity Along A Partially-Mixed Estuary, York River, Virginia, Usa, K. A. Fall, C. T. Friedrichs, G. M. Cartwright, D. G. Bowers
Presentations
The Chesapeake Bay and its associated tidal tributaries, which together form one of the United States’ largest and most important estuaries, are among the many coastal systems where degraded water clarity is a major concern. Despite long-term decreases in sediment input, water clarity over the last 20 years has continued to deteriorate in the Bay and its tributaries (Williams et al., 2010). Analysis of long-term monitoring data (Wang et al., 2010) found that the concentration of total suspended solids (TSS), the regulatory indicator of ‘suspended sediment pollution’, is about as likely to be positively or negatively correlated to sediment loads …
Controls On Bed Erodibility In A Muddy, Partially-Mixed Estuary: York River, Virginia, Usa, Carl T. Friedrichs, Grace M. Cartwright, Patrick J. Dickhut, Kelsey A. Fall
Controls On Bed Erodibility In A Muddy, Partially-Mixed Estuary: York River, Virginia, Usa, Carl T. Friedrichs, Grace M. Cartwright, Patrick J. Dickhut, Kelsey A. Fall
Presentations
Appropriate parameterization of time-dependent erodibility of muddy seabeds is a significant barrier to improved understanding and accurate modelling of sediment dynamics in estuaries and other coastal regions. In an effort to better understand controls on muddy seabed erodibility, bed erodibility and associated bed sediment properties have been measured by our group on cores collected on dozens of cruises over the last decade in the York Estuary (e.g., Dickhudt et al., 2009, 2011; Kraatz, 2013). We have also inferred time-varying erodibility indirectly in the York Estuary over several years by vertically integrating observations of tidally-varying suspended sediment concentration (e.g. Friedrichs et …
Tidal Flat Morphodynamics: A Synthesis, Carl T. Friedrichs
Tidal Flat Morphodynamics: A Synthesis, Carl T. Friedrichs
Presentations
Tidal flats commonly occur along coasts where the tidal range is large relative to typical wave height. They can be found where hydrodynamic energy is high or low, where sediments are sandy or muddy, and where shorelines are prograding, retreating, or stable. The study of the morphology and evolution of tidal flats is particularly well suited in the context of morphodynamics since characteristics such as profile shape, bed slope, and grain size clearly and systematically vary as a function of sediment supply and wave and tidal forcing, and the nature of wave- and tide-induced velocities across tidal flats is, in …
Simulating And Animating The Spatial Dynamics Of Interacting Species Living On A Torus, Boyan Kostadinov
Simulating And Animating The Spatial Dynamics Of Interacting Species Living On A Torus, Boyan Kostadinov
Publications and Research
The goal of this talk is to present a student research project in computational population biology, which aims at creating a computer simulation and animation of the spatial dynamics of interactions between two kinds of species living on a torus-shaped universe. The habitat for spatial interactions is modeled by a 2D lattice with periodic boundary conditions, which wrap the rectangular grid into a torus. The spatial interactions between the species have two components: 1. Population dynamics modeled by the classical Nicholson-Bailey two-parameter family of models for coupled interactions between species, extended to incorporate space and 2. Two-parameter migration dynamics, modeled …