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Social and Behavioral Sciences Commons™
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Articles 13531 - 13560 of 21220
Full-Text Articles in Social and Behavioral Sciences
Slides: The Role Of Groundwater Sampling/Monitoring: Cogcc Proposed Rule 609, Gene Florentino
Slides: The Role Of Groundwater Sampling/Monitoring: Cogcc Proposed Rule 609, Gene Florentino
Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)
Presenter: Gene Florentino, PG, Walsh Environmental Scientists and Engineers
14 slides
Slides: Colorado’S Groundwater Protection Program, Andrew Ross
Slides: Colorado’S Groundwater Protection Program, Andrew Ross
Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)
Presenter: Andrew Ross, Colorado Department of Public Health and Environment
22 slides
Slides: Research On Ground Water Monitoring, Matt Samelson
Slides: Research On Ground Water Monitoring, Matt Samelson
Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)
Presenter: Matt Samelson, Natural Resources Law Center and the Donnell-Kay Foundation
12 slides
Slides: Proposed Statewide Baseline Groundwater Sampling And Monitoring Rules, University Of Colorado Boulder. Natural Resources Law Center, Colorado. Oil And Gas Conservation Commission
Slides: Proposed Statewide Baseline Groundwater Sampling And Monitoring Rules, University Of Colorado Boulder. Natural Resources Law Center, Colorado. Oil And Gas Conservation Commission
Monitoring and Protecting Groundwater During Oil and Gas Development (November 26)
Presenter: Kathryn Mutz, Natural Resources Law Center, University of Colorado Law School
16 slides
Forum Notes: Infrastructure And Utilities Breakout, Hr Adaptation Forum
Forum Notes: Infrastructure And Utilities Breakout, Hr Adaptation Forum
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Forum Notes: Morning Plenary, Hr Adaptation Forum
Forum Notes: Morning Plenary, Hr Adaptation Forum
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Agenda, Hr Adaptation Forum
Agenda, Hr Adaptation Forum
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Climate Change Up Close And Personal: Impacts On Hampton Roads Region, Russell De Young
Climate Change Up Close And Personal: Impacts On Hampton Roads Region, Russell De Young
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Forum Notes: Land Use And Planning Breakout Group, Hr Adaptation Forum
Forum Notes: Land Use And Planning Breakout Group, Hr Adaptation Forum
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Forum Notes: Emergency Management, Hr Adaptation Forum
Forum Notes: Emergency Management, Hr Adaptation Forum
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Adaptation Practices And Lessons Learned, Molly Mitchell
Adaptation Practices And Lessons Learned, Molly Mitchell
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Sea Level Rise (Slr) Acceleration In The Hampton Roads: A Scientific Perspective, Tal Ezer, Larry Atkinson
Sea Level Rise (Slr) Acceleration In The Hampton Roads: A Scientific Perspective, Tal Ezer, Larry Atkinson
November 16, 2012: Best Practices for Adapting to Sea Level Rise and Flooding
No abstract provided.
Nonprofit Funding Agencies’ Review Of Grant Recipients, Siobain Mcilvain
Nonprofit Funding Agencies’ Review Of Grant Recipients, Siobain Mcilvain
Honors Theses - Providence Campus
Nonprofits need to be just as responsible as public corporations. Nonprofit funding agencies have the responsibility for evaluating the organizations they fund to make sure that they are operating with high integrity, maintaining strong internal controls, remaining financially stable, and overall being good stewards of the funds received. This paper will explain the criteria that a funding agency should follow in order to affect this process, as well as how a recipient nonprofit will benefit from following the criteria.
Do Low-Mercury Terrestrial Resources Subsidize Low-Mercury Growth Of Stream Fish? Differences Between Species Along A Productivity Gradient, Darren M. Ward, Keith H. Nislow, Carol L. Folt
Do Low-Mercury Terrestrial Resources Subsidize Low-Mercury Growth Of Stream Fish? Differences Between Species Along A Productivity Gradient, Darren M. Ward, Keith H. Nislow, Carol L. Folt
Dartmouth Scholarship
Low productivity in aquatic ecosystems is associated with reduced individual growth of fish and increased concentrations of methylmercury (MeHg) in fish and their prey. However, many stream-dwelling fish species can use terrestrially-derived food resources, potentially subsidizing growth at low-productivity sites, and, because terrestrial resources have lower MeHg concentrations than aquatic resources, preventing an increase in diet-borne MeHg accumulation. We used a large-scale field study to evaluate relationships among terrestrial subsidy use, growth, and MeHg concentrations in two stream-dwelling fish species across an in-stream productivity gradient. We sampled young-of-the-year brook trout ( Salvelinus fontinalis ) and Atlantic salmon ( Salmo salar …
Demonstration: Dynamic Sensor Registration And Semantic Processing For Ad-Hoc Mobile Environments (Semmob), Pramod Anantharam, Gary Alan Smith, Josh Pschorr, Krishnaprasad Thirunarayan, Amit P. Sheth
Demonstration: Dynamic Sensor Registration And Semantic Processing For Ad-Hoc Mobile Environments (Semmob), Pramod Anantharam, Gary Alan Smith, Josh Pschorr, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
SemMOB enables dynamic registration of sensors via mobile devices, search, and near real-time inference over sensor observations in ad-hoc mobile environments (e.g., fire fighting). We demonstrate SemMOB in the context of an emergency response use case that requires automatic and dynamic registrations of sensor devices and annotation of sensor observations, decoding of latitude-longitude information in terms of human sensible names, fusion and abstraction of sensor values using background knowledge, and their visualization using mash-up.
Using Social Influence To Predict Subscriber Churn, Derek Doran, Veena Mendiratta, Chitra Phadke, Dan Kushnir, Huseyin Uzunalioglu
Using Social Influence To Predict Subscriber Churn, Derek Doran, Veena Mendiratta, Chitra Phadke, Dan Kushnir, Huseyin Uzunalioglu
Kno.e.sis Publications
The saturation of mobile phone markets has resulted in rising costs for operators to obtain new customers. These operators thus focus their energies on identifying users that will churn so they can be targeted for retention campaigns. Typical churn prediction algorithms identify churners based on service usage metrics, network performance indicators, and demographic information. Social and peer-influence to churn, however, is usually not considered. In this paper, we describe a new churn prediction algorithm that incorporates the influence churners spread to their social peers. Using data from a major service provider, we show that social influence improves churn prediction and …
Understanding User Triads On Facebook, Derek Doran, Alberta De La Rosa Algarin, Swapna S. Gokhale
Understanding User Triads On Facebook, Derek Doran, Alberta De La Rosa Algarin, Swapna S. Gokhale
Kno.e.sis Publications
Contemporary approaches that analyze user behavior on online social networks only consider interactions among dyads, which are pairs of directly connected users. A large body of sociological work, however, suggests that mutual connections among users can influence their activities, leading to differences between two- and three-way interactions. This paper explores the dynamics of triads among Facebook users based on the wall posts from the New Orleans regional network. Initially, each connection is categorized as a close friendship or an acquiantance, contingent on the number of wall posts exchanged. Subsequently, the impact of different types of connections comprising triads is examined …
Using Landscape Pattern Metrics To Characterize Ecoregions, Martha Isabel Posada Posada
Using Landscape Pattern Metrics To Characterize Ecoregions, Martha Isabel Posada Posada
School of Natural Resources: Dissertations, Theses, and Student Research
Ecological regions, or ecoregions, are areas that exhibit “relative homogeneity in ecosystems”. The principal objective of this research was to determine if and how landscape structure (quantified by landscape pattern metrics) may be related to ecoregions defined using Omernik’s approach to ecoregionalization. Nine key landscape pattern metrics (number or LULC classes and the proportion of each class, number of patches, mean patch size and area-weighted fractal dimension, perimeter-area fractal dimension, contagion, mean Euclidean nearest neighbor distance and interspersion and juxtaposition index) where used to asses landscape structure in a sample of 26 Omernik Level III ecoregions located in the central …
A Historical Review And Assessment Of Urban Heat Island Research In Singapore, Matthias Roth, Winston T. L. Chow
A Historical Review And Assessment Of Urban Heat Island Research In Singapore, Matthias Roth, Winston T. L. Chow
Research Collection School of Social Sciences
This historical review of 20 studies since the 1960s examines the influence of urban development on the thermal environment in Singapore, a fast growing tropical island city-state. Past observations are critically assessed with regard to experimental controls and station metadata. Given the availability of historical climate and developmental data spanning almost 50 years, changes in urban heat island (UHI) intensity and spatial coverage can be traced temporally. Rapid urban expansion in Singapore is clearly reflected in spatially and temporally changing air and surface temperature patterns. The nocturnal canopy-layer UHI intensity – measured as the difference between the commercial urban core …
Linked Data Demystified: Practical Efforts To Transform Contentdm Metadata For The Linked Data Cloud, Silvia B. Southwick, Cory K. Lampert
Linked Data Demystified: Practical Efforts To Transform Contentdm Metadata For The Linked Data Cloud, Silvia B. Southwick, Cory K. Lampert
Library Faculty Presentations
The library literature and events like the ALA Annual Conference have been inundated with presentations and articles on linked data. At UNLV Libraries, we understand the importance of linked data in helping to better service our users. We have designed and initiated a pilot project to apply linked data concepts to the practical task of transforming a sample set of our CONTENTdm digital collections data into future-oriented linked data. This presentation will outline rationale for beginning work in linked data and detail the phases we will undertake in the proof of concept project. We hope through this research experiment to …
How I Would Like Semantic Web To Be, For My Children., Raghava Mutharaju
How I Would Like Semantic Web To Be, For My Children., Raghava Mutharaju
Kno.e.sis Publications
Semantic Web, since its inception, has gone through lot of developments in its relatively nascent existence; right from people's perception, to the standards and to its adoption by the industry and more importantly by the scientific community. This impressive growth only seems to increase. In this paper, we project this growth to the next 10 years and highlight some of the facets on which Semantic Web could have a major impact on. We also present the challenges that Semantic Web and its community has to deal with in order to get there.
Selection Of Mixed Sampling Plan With Qss-1(N; CN, CT) Plan As Attribute Plan Indexed Through Mapd And Lql, R. Sampath Kumar, M. Indra, R. Radhakrishnan
Selection Of Mixed Sampling Plan With Qss-1(N; CN, CT) Plan As Attribute Plan Indexed Through Mapd And Lql, R. Sampath Kumar, M. Indra, R. Radhakrishnan
Journal of Modern Applied Statistical Methods
A procedure for the construction and selection of the mixed sampling plan using MAPD as a quality standard with the QSS-1 (n; cN, cT) plan as an attribute plan is presented. The plans indexed through MAPD and LQL are constructed and compared for efficiency. Tables are provided for selection of an appropriate sampling plan.
On Some Negative Integer Moments Of Quasi-Negative-Binomial Distribution, Anwar Hassan, Sheikh Bilal
On Some Negative Integer Moments Of Quasi-Negative-Binomial Distribution, Anwar Hassan, Sheikh Bilal
Journal of Modern Applied Statistical Methods
Negative integer moments of the quasi-negative-binomial distribution (QNBD) are investigated. This distribution includes recurrence relations which are helpful in the solution of many applied statistical problems, particularly in life testing and survey sampling, where ratio estimators are useful. Results study show the negative-binomial distribution when the parameter θ2 is zero and also indicate the mean of the QNBD model when its parameters are changed.
On Some Properties And Estimation Of Size-Biased Polya-Eggenberger Distribution, Anwar Hassan, Sheikh Bilal, Imtiyaz Ahmad Shah
On Some Properties And Estimation Of Size-Biased Polya-Eggenberger Distribution, Anwar Hassan, Sheikh Bilal, Imtiyaz Ahmad Shah
Journal of Modern Applied Statistical Methods
A size-biased version of Polya-Eggenberger distribution is introduced explicitly and by a mixture model. The proposed distribution is unimodal with positive integer moments. The recurrence relation between moments (about the origin) of the proposed distribution is established and its relationship with other distributions is discussed. Different estimation techniques are proposed to estimate the parameters of the distribution.
Regression Split By Levels Of The Dependent Variable, Stan Lipovetsky
Regression Split By Levels Of The Dependent Variable, Stan Lipovetsky
Journal of Modern Applied Statistical Methods
Multiple regression coefficients split by the levels of the dependent variable are examined. The decomposition of the coefficients can be defined by points on the ordinal scale or by levels in the numerical response using the Gifi system of binary variables. This approach permits consideration of specific values of the coefficients at each layer of the response variable. Numerical results illustrate how to identify levels of interpretable regression coefficients.
Extreme Value Charts And Analysis Of Means (Anom) Based On The Log Logistic Distribution, B. Srinivasa Rao, J. Pratapa Reddy, G. Sarath Babu
Extreme Value Charts And Analysis Of Means (Anom) Based On The Log Logistic Distribution, B. Srinivasa Rao, J. Pratapa Reddy, G. Sarath Babu
Journal of Modern Applied Statistical Methods
A probability model of a quality characteristic is assumed to follow a log logistic distribution. This article proposes variable control charts, termed extreme value charts, based on the extreme values of each subgroup. The control chart constants depend on the probability model of the extreme order statistics and the size of each subgroup. The analysis of means (ANOM) technique for a skewed population is applied with respect to log logistic distribution. Results are illustrated using examples based on real data.
Examining Growth With Statistical Shape Analysis And Comparison Of Growth Models, Deniz Sigirli, Ilker Ercan
Examining Growth With Statistical Shape Analysis And Comparison Of Growth Models, Deniz Sigirli, Ilker Ercan
Journal of Modern Applied Statistical Methods
Growth curves have been widely used in the fields of biology, zoology and medicine for assessing some measurable trait of an organism, such as height, weight, area or volume. In statistical shape analysis, a size measure is obtained using the geometrical information of an object as opposed to linear measurements. The performances of commonly used non-linear growth curves are compared by using centroid size as a size measure in a simulation study. An example is provided on the relationship between centroid size of the cerebellum and disease duration in multiple sclerosis patients.
Examining Multiple Comparison Procedures According To Error Rate, Power Type And False Discovery Rate, Guven Ozkaya, Ilker Ercan
Examining Multiple Comparison Procedures According To Error Rate, Power Type And False Discovery Rate, Guven Ozkaya, Ilker Ercan
Journal of Modern Applied Statistical Methods
Examining pairwise differences between means is a common practice of applied researchers, and the selection of an appropriate multiple comparison procedure (MCP) is important for analyzing pairwise comparisons. This study examines the performance of MCPs under the assumption of homogeneity of variances for various numbers of groups with equal and unequal sample sizes via a simulation study. MCPs are compared according to type I error rate, power type and false discovery rate (FDR). Results show that the LSD and Duncan procedures have high error rates and Scheffe’s procedure has low power; no remarkable differences between the other procedures considered were …
Class(Es) Of Factor-Type Estimator(S) In Presence Of Measurement Error, Diwakar Shukla, Sharad Pathak, Narendra Singh Thakur
Class(Es) Of Factor-Type Estimator(S) In Presence Of Measurement Error, Diwakar Shukla, Sharad Pathak, Narendra Singh Thakur
Journal of Modern Applied Statistical Methods
When data is collected via sample survey it is assumed whatever is reported by a respondent is correct. However, given the issues of prestige bias, personal respect and honor, respondents’ self-reported data often produces over- or under- estimated values as opposed to true values regarding the variables under question. This causes measurement error to be present in sample values. This article considers the factortype estimator as an estimation tool and examines its performance under a measurement error model. Expressions of optimization are derived and theoretical results are supported by numerical examples.
Exact Logistic Regression For A Matched Pairs Case-Control Design With Polytomous Exposure Variables, Shyam S. Ganguly
Exact Logistic Regression For A Matched Pairs Case-Control Design With Polytomous Exposure Variables, Shyam S. Ganguly
Journal of Modern Applied Statistical Methods
Logistic regression methods are useful in estimating odds ratios under matched pairs case-control designs when the exposure variable of interest is binary or polytomous in nature. Analysis is typically performed using large sample approximation techniques. When conducting the analysis with polytomous exposure variable, situations where the numbers of discordant pairs in the resulting cells are small or the data structure is sparse can be encountered. In such situations, the asymptotic method of analysis is questionable, thus an exact method of analysis may be more suitable. A method is presented that performs exact inference in the case of pair-wise matched case-control …