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Articles 1171 - 1200 of 25682
Full-Text Articles in Entire DC Network
Correction: Spatio-Temporal Variability Of Processes Across Antarctic Ice-Bed-Ocean Interfaces (Nature Communications Doi: 10.1038/S41467-018-04583-0), Florence Colleoni, Laura De Santis, Christine S. Siddoway, Andrea Bergamasco, Nicholas R. Golledge, Gerrit Lohmann, Sandra Passchier, Martin J. Siegert
Correction: Spatio-Temporal Variability Of Processes Across Antarctic Ice-Bed-Ocean Interfaces (Nature Communications Doi: 10.1038/S41467-018-04583-0), Florence Colleoni, Laura De Santis, Christine S. Siddoway, Andrea Bergamasco, Nicholas R. Golledge, Gerrit Lohmann, Sandra Passchier, Martin J. Siegert
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
The original version of this Article contained an error in the spelling of the author Florence Colleoni, which was incorrectly given as Florence Colloni. This has been corrected in both the PDF and HTML versions of the Article.
Ucc Minutes, December 2018, University Curriculum Council
Ucc Minutes, December 2018, University Curriculum Council
UCC Agendas/Minutes
No abstract provided.
Universal Design For Transition: A Conceptual Framework For Blending Academics And Transition Instruction, Laron A. Scott, Lauren Bruno
Universal Design For Transition: A Conceptual Framework For Blending Academics And Transition Instruction, Laron A. Scott, Lauren Bruno
The Journal of Special Education Apprenticeship
This theoretical paper comprised the development of a conceptual framework for blending academic and transition content to help members of the special education field meet both the academic and transition needs of students with disabilities, including students with intellectual and developmental disabilities (IDD). The current conceptual framework was used to explain how the components from Universal Design for Learning (UDL) and transition are blended to create the Universal Design for Transition (UDT) framework, which is a guide for implementing and promoting barrier-free transitions. In the current study, the final conceptual framework included multiple components that use the following UDL academic …
Shelter Cove, Ca Fishing Community Sustainability Plan, Lisa Wise Consulting, Inc., Humboldt State University
Shelter Cove, Ca Fishing Community Sustainability Plan, Lisa Wise Consulting, Inc., Humboldt State University
Local Reports and Publications
The Shelter Cove Fishing Community Sustainability Plan (FCSP) is the product of a strong collaborative partnership among the fishing community, Humboldt State University, civic leaders, elected officials, and local business owners and operators. The project was funded by a generous grant from Saltonstall-Kennedy Grant Program, awarded in September of 2016.
The FCSP is a powerful example of the Shelter Cove fishing community’s capacity to establish key partnerships, identify opportunities and constraints, procure funding and engage in strategic planning. The FCSP culminates with a list of Recommendations which reflect the highest priorities needs aimed at the success and resilience of the …
Geological And Environmental Sciences - 2018
Geological And Environmental Sciences - 2018
Geological and Environmental Sciences News
- Greetings from the Chair
- Faculty Updates
- Welcome to Dinosaur Park - New modules and upcoming additions to the park
- Hydrogeology Field Course
- CoreKids
- Field Course in Marquette
- Advisory Council
- Alumni Achievement Award
- MGRRE (Michigan Geological Repository for Research and Education)
- Michigan Geological Survey
- Student updates - SEG, AAPG, Geology club, Welcome new graduate students
- Department Achievements - Grants, Donors, Awards, and Publications
Procedurally Generating Biologically Driven Bird And Non-Avian Dinosaur Feathers, Jessica Renee Baron
Procedurally Generating Biologically Driven Bird And Non-Avian Dinosaur Feathers, Jessica Renee Baron
All Theses
A key element in computer-graphics research is representing the world around us, and immense inspiration may be found in nature. Algorithms and procedural models may be developed that can describe the three-dimensional shape of objects and how they interact with light. This thesis focuses particularly on bird and other dinosaur feathers and their structure. More specifically, it addresses the problem of procedurally generating biologically driven geometry for modeling feathers in computer graphics. As opposed to previously published methods for generated feather geometry, data is derived from a myriad of real-world specimens of feathers and used in creating graphical models of …
A Study On Possible Sizes Of Matrix Factorizations, Andrew Soto-Levins
A Study On Possible Sizes Of Matrix Factorizations, Andrew Soto-Levins
McNair Scholars Research Journal
No abstract provided.
Notes From The Director, The Mcnair Team
Notes From The Director, The Mcnair Team
McNair Scholars Research Journal
No abstract provided.
Principles Of State Discovery In Decision Making, Mariah Ochoa
Principles Of State Discovery In Decision Making, Mariah Ochoa
McNair Scholars Research Journal
No abstract provided.
2018 December - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
2018 December - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Monthly Reports
No abstract provided.
Effective Engineering Video Tutorials, Luke Lee, Hector Estrada, Mehdi Khazaeli
Effective Engineering Video Tutorials, Luke Lee, Hector Estrada, Mehdi Khazaeli
All Faculty Articles - School of Engineering and Computer Science
Increasing technological development, particularly wide accessibility of online video publishing platforms, such as YouTube, has resulted in a corresponding increase in the production and integration of online video content. In this paper we specifically discuss the use of screencast tutorials in higher education courses. Screencast tutorials are being used to provide and supplement instruction at all grade levels, from K thru college, using various delivery approaches from completely online to blended learning environments. The results presented in this paper specifically focus on engineering fundamentals content. The predominant use of online videos by engineering students has been to seek out specific …
Review: Canids Of The World: Wolves, Wild Dogs, Foxes, Jackals, Coyotes, And Their Relatives. José R. Castelló., Jonathan (Jon) Way
Review: Canids Of The World: Wolves, Wild Dogs, Foxes, Jackals, Coyotes, And Their Relatives. José R. Castelló., Jonathan (Jon) Way
The Prairie Naturalist
Canids of the World is one of those reads where just when you think that something cannot be beat, this book comes out. What I mean by that is that I have read many works on wolves and other canids, most recently Nate Blakeslee’s American Wolf (Way 2017), and I have enjoyed and been enthralled with many of them. But Canids of the World may take the cake for being the most impressive book available on canids. For a modest price of just under $30.00, you can own a book that has over 600 amazing high-resolution glossy photographs of every …
New Breeding Record And Location For Wilson’S Phalarope (Phalaropus Tricolor) In The Nebraska Great Plains, Usa, Madison O. Sutton, Nico Arcilla
New Breeding Record And Location For Wilson’S Phalarope (Phalaropus Tricolor) In The Nebraska Great Plains, Usa, Madison O. Sutton, Nico Arcilla
The Prairie Naturalist
Wilson’s phalarope (Phalaropus tricolor; Scolopacidae) is a migratory shorebird that relies on interior wetlands for foraging and breeding (Colwell and Jehl 1994, van Gils et al. 2018). Its global population status is unclear (Colwell and Jehl 1994, Lesterhuis and Clay 2010), and is variously listed as declining (Morrison et al. 2006, van Gils et al. 2018), increasing (Andres 2009, BirdLife International 2018), and exhibiting a long-term decline but recent stability (Sauer et al. 2011, Andres et al. 2012). Its global population estimate of 1.5 million birds has not been updated for 30 years, since 1988 (Colwell and Jehl 1994, Lesterhuis …
Review: Behavior Of The Golden Eagle: An Illustrated Ethogram. David H. Ellis (Illustrated By N. John Schmitt)., Jeremy E. Guinn
Review: Behavior Of The Golden Eagle: An Illustrated Ethogram. David H. Ellis (Illustrated By N. John Schmitt)., Jeremy E. Guinn
The Prairie Naturalist
Author David H. Ellis and illustrator N. John Schmitt deliver precisely what is promised in Behavior of the Golden Eagle: An Illustrated Ethogram. This “little volume,” as the author coins it, represents a single source for defining, identifying, and describing behaviors of the Golden Eagle (Aquila chrysaetos). With the inclusion of Schmitt’s exceptional drawings, the book is a piece of art, as well as the most useful manual describing Golden Eagle behaviors. Nearly four decades earlier, Ellis (1979) authored the very first Golden Eagle ethogram—the set of repeated standard behaviors for a species called action patterns—and in his new book, …
Review: Edges And Rushes Of Minnesota: The Complete Guide To Species Identification, Welby R. Smith; Photography By Richard Haug, Edward S. Dekeyser
Review: Edges And Rushes Of Minnesota: The Complete Guide To Species Identification, Welby R. Smith; Photography By Richard Haug, Edward S. Dekeyser
The Prairie Naturalist
Even the most seasoned individual with a plant identification background can relate to the difficulty of identifying sedges and rushes to the species level. Historically, one has had to rely on dichotomous keys to identify a sedge or rush species in the field. After hours of frustration, a person ends up collecting the plant and, if lucky, bringing the collection back to a herbarium where it can be compared to known specimens. I have been collecting and identifying sedge and rush species for over 25 years, and author Welby Smith along with photographer Richard Haug have published what I believe …
Red-Bellied Snake (Storeria Occipitomaculata) Copulation In South Dakota, Drew R. Davis
Red-Bellied Snake (Storeria Occipitomaculata) Copulation In South Dakota, Drew R. Davis
The Prairie Naturalist
Storeria occipitomaculata is a small, terrestrial species of snake that occurs across much of eastern North America (Ernst and Barbour 1989, Ernst 2002, Ernst and Ernst 2003). Due to this widespread distribution, S. occipitomaculata faces varied climates that likely result in regional differences in reproductive phenology. Much of what is known about the reproductive ecology of S. occipitomaculata has been documented from the southeastern portion of its range in North America (South Carolina: Semlitsch and Moran 1984, North Carolina: Willson and Dorcas 2004), though Blanchard (1937) studied a population from northern Michigan. The exact reproductive timing in this …
Testfordep: An R Package For Modern Distribution-Free Tests And Visualization Tools For Independence, Jeffrey C. Miecznikowski, En-Shuo Hsu, Yanhua Chen, Albert Vexler
Testfordep: An R Package For Modern Distribution-Free Tests And Visualization Tools For Independence, Jeffrey C. Miecznikowski, En-Shuo Hsu, Yanhua Chen, Albert Vexler
The R Journal
This article introduces testforDEP, a portmanteau R package implementing for the first time several modern tests and visualization tools for independence between two variables. While classical tests for independence are in the base R packages, there have been several recently developed tests for independence that are not available in R. This new package combines the classical tests including Pearson’s product moment correlation coefficient method, Kendall’s τ rank correlation coefficient method and Spearman’s ρ rank correlation coefficient method with modern tests consisting of an empirical likelihood based test, a density-based empirical likelihood ratio test, Kallenberg data-driven test, maximal information coefficient …
Smm: An R Package For Estimation And Simulation Of Discrete-Time Semi-Markov Models, Vlad Stefan Barbu, Caroline Bérard, Dominique Cellier, Mathilde Sautreuil, Nicolas Vergne
Smm: An R Package For Estimation And Simulation Of Discrete-Time Semi-Markov Models, Vlad Stefan Barbu, Caroline Bérard, Dominique Cellier, Mathilde Sautreuil, Nicolas Vergne
The R Journal
Semi-Markov models, independently introduced by Lévy (1954), Smith (1955) and Takacs (1954), are a generalization of the well-known Markov models. For semi-Markov models, sojourn times can be arbitrarily distributed, while sojourn times of Markov models are constrained to be exponentially distributed (in continuous time) or geometrically distributed (in discrete time). The aim of this paper is to present the R package SMM, devoted to the simulation and estimation of discrete-time multi-state semi-Markov and Markov models. For the semi-Markov case we have considered: parametric and non-parametric estimation; with and without censoring at the beginning and/or at the end of sample …
Fica: Fastica Algorithms And Their Improved Variants, Jari Miettinen, Klaus Nordhausen, Sara Taskinen
Fica: Fastica Algorithms And Their Improved Variants, Jari Miettinen, Klaus Nordhausen, Sara Taskinen
The R Journal
In independent component analysis (ICA) one searches for mutually independent nongaussian latent variables when the components of the multivariate data are assumed to be linear combinations of them. Arguably, the most popular method to perform ICA is FastICA. There are two classical versions, the deflation-based FastICA where the components are found one by one, and the symmetric FastICA where the components are found simultaneously. These methods have been implemented previously in two R packages, fastICA and ica. We present the R package fICA and compare it to the other packages. Additional features in fICA include optimization of the extraction order …
Snowboot: Bootstrap Methods For Network Inference, Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
Snowboot: Bootstrap Methods For Network Inference, Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Kusha Nezafati
The R Journal
Complex networks are used to describe a broad range of disparate social systems and natural phenomena, from power grids to customer segmentation to human brain connectome. Challenges of parametric model specification and validation inspire a search for more data-driven and flexible nonparametric approaches for inference of complex networks. In this paper we discuss methodology and R implementation of two bootstrap procedures on random networks, that is, patchwork bootstrap of Thompson et al. (2016) and Gel et al. (2017) and vertex bootstrap of Snijders and Borgatti (1999). To our knowledge, the new R package snowboot is the first implementation of the …
Addhaz: Contribution Of Chronic Diseases To The Disability Burden Using R, Renata Tiene De Carvalho Yokota, Caspar Wn Looman, Wilma Johanna Nusselder, Herman Van Oyen, Geert Molenberghs
Addhaz: Contribution Of Chronic Diseases To The Disability Burden Using R, Renata Tiene De Carvalho Yokota, Caspar Wn Looman, Wilma Johanna Nusselder, Herman Van Oyen, Geert Molenberghs
The R Journal
The increase in life expectancy followed by the burden of chronic diseases contributes to disability at older ages. The estimation of how much chronic conditions contribute to disability can be useful to develop public health strategies to reduce the burden. This paper introduces the R package addhaz, which is based on the attribution method (Nusselder and Looman, 2004) to partition disability into the additive contributions of diseases using cross-sectional data. The R package includes tools to fit the additive hazard model, the core of the attribution method, to binary and multinomial outcomes. The models are fitted by maximizing the …
Stplanr: A Package For Transport Planning, Robin Lovelace, Richard Ellison
Stplanr: A Package For Transport Planning, Robin Lovelace, Richard Ellison
The R Journal
Tools for transport planning should be flexible, scalable, and transparent. The stplanr package demonstrates and provides a home for such tools, with an emphasis on spatial transport data and non-motorized modes. The stplanr package facilitates common transport planning tasks including: downloading and cleaning transport datasets; creating geographic “desire lines” from origin-destination (OD) data; route assignment, locally and interfaces to routing services such as CycleStreets.net; calculation of route segment attributes such as bearing and aggregate flow; and ‘travel watershed’ analysis. This paper demonstrates this functionality using reproducible examples on real transport datasets. More broadly, the experience of developing and using R …
Changes In R, R Core Team
Conference Report: Why R? 2018, Michał Burdukiewicz, Marta Karas, Leon Eyrich Jessen, Marcin KosińSki, Bernd Bischl, Stefan Rödiger
Conference Report: Why R? 2018, Michał Burdukiewicz, Marta Karas, Leon Eyrich Jessen, Marcin KosińSki, Bernd Bischl, Stefan Rödiger
The R Journal
The primary purpose of the Why R? 2018 conference was to provide R programming language enthusiasts with an opportunity to meet and discuss experiences in R software development and analysis applications, for both academia and industry professionals. The event was held 2-5 August, 2018 in a city of Wroclaw, a strong academic and business center of Poland. The total of approximately 250 people from 6 countries attended the main conference event. Additionally, approximately 540 R users attended the pre-meetings in eleven cities across Europe (Figure 2).
Conference Report: Latinr 2018, Laura Acion, Natalia Da Silva, Riva Quiroga
Conference Report: Latinr 2018, Laura Acion, Natalia Da Silva, Riva Quiroga
The R Journal
LatinR <- Latin American Conference about the Use of R in Research + Development (LatinR) was an international conference whose goal was bringing together the Latin Ameri can R community. The inagural LatinR took place at the Universidad de Palermo in Buenos Aires, Argentina, on September 3 to 5, 2018. About 100 participants from more than 10 differ ent countries (e.g., Argentina, Uruguay, Chile, Peru, Ecuador, Brazil, Costa Rica, Venezuela, Spain, United States, Canada) attended LatinR.
LatinR will be an annual meeting that will rotate among different countries in Latin America. LatinR 2019 will be hosted by the Universidad Católica de Chile in Santiago de Chile on September 25 to 27
Shinyitemanalysis For Teaching Psychometrics And To Enforce Routine Analysis Of Educational Tests, Patrícia Martinková, Adéla Drabinová
Shinyitemanalysis For Teaching Psychometrics And To Enforce Routine Analysis Of Educational Tests, Patrícia Martinková, Adéla Drabinová
The R Journal
This work introduces ShinyItemAnalysis, an R package and an online shiny application for psychometric analysis of educational tests and items. ShinyItemAnalysis covers a broad range of psychometric methods and offers data examples, model equations, parameter estimates, interpretation of results, together with a selected R code, and is therefore suitable for teaching psychometric concepts with R. Furthermore, the application aspires to be an easy-to-use tool for analysis of educational tests by allowing the users to upload and analyze their own data and to automatically generate analysis reports in PDF or HTML. We argue that psychometric analysis should be a routine …
Bnclassify: Learning Bayesian Network Classifiers, Bojan Mihaljević, Concha Bielza, Pedro Larrañaga
Bnclassify: Learning Bayesian Network Classifiers, Bojan Mihaljević, Concha Bielza, Pedro Larrañaga
The R Journal
The bnclassify package provides state-of-the art algorithms for learning Bayesian network classifiers from data. For structure learning it provides variants of the greedy hill-climbing search, a well-known adaptation of the Chow-Liu algorithm and averaged one-dependence estimators. It provides Bayesian and maximum likelihood parameter estimation, as well as three naive-Bayes specific methods based on discriminative score optimization and Bayesian model averaging. The implementation is efficient enough to allow for time-consuming discriminative scores on medium sized data sets. The bnclassify package provides utilities for model evaluation, such as cross-validated accuracy and penalized log-likelihood scores, and analysis of the underlying networks, including network …
Networktoolbox: Methods And Measures For Brain, Cognitive, And Psychometric Network Analysis In R, Alexander P. Christensen
Networktoolbox: Methods And Measures For Brain, Cognitive, And Psychometric Network Analysis In R, Alexander P. Christensen
The R Journal
This article introduces the NetworkToolbox package for R. Network analysis offers an intuitive perspective on complex phenomena via models depicted by nodes (variables) and edges (correlations). The ability of networks to model complexity has made them the standard approach for modeling the intricate interactions in the brain. Similarly, networks have become an increasingly attractive model for studying the complexity of psychological and psychopathological phenomena. NetworkToolbox aims to provide researchers with state-of-the-art methods and measures for estimating and analyzing brain, cognitive, and psychometric networks. In this article, I introduce NetworkToolbox and provide a tutorial for applying some the package’s functions to …
Dynamic Simulation And Testing For Single-Equation Cointegrating And Stationary Autoregressive Distributed Lag Models, Soren Jordan, Andrew Q. Philips
Dynamic Simulation And Testing For Single-Equation Cointegrating And Stationary Autoregressive Distributed Lag Models, Soren Jordan, Andrew Q. Philips
The R Journal
While autoregressive distributed lag models allow for extremely flexible dynamics, interpreting the substantive significance of complex lag structures remains difficult. In this paper we discuss dynamac (dynamic autoregressive and cointegrating models), an R package designed to assist users in estimating, dynamically simulating, and plotting the results of a variety of autoregressive distributed lag models. It also contains a number of post-estimation diagnostics, including a test for cointegration for when researchers are estimating the error-correction variant of the autoregressive distributed lag model.
Bnsp: An R Package For Fitting Bayesian Semiparametric Regression Models And Variable Selection, Georgios Papageorgiou
Bnsp: An R Package For Fitting Bayesian Semiparametric Regression Models And Variable Selection, Georgios Papageorgiou
The R Journal
The R package BNSP provides a unified framework for semiparametric location-scale regression and stochastic search variable selection. The statistical methodology that the package is built upon utilizes basis function expansions to represent semiparametric covariate effects in the mean and variance functions, and spike-slab priors to perform selection and regularization of the estimated effects. In addition to the main function that performs posterior sampling, the package includes functions for assessing convergence of the sampler, summarizing model fits, visualizing covariate effects and obtaining predictions for new responses or their means given feature/covariate vectors.