315 research outputs found
R Code and Data Supporting: Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities
No full textDetailed documentation in readme text file.This repository contains the R and JAGS code supporting results reported in: Johnson-Bice, S.M., J.M. Ferguson, J.D. Erb, T.D. Gable, S.K. Windels (2020). Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities. Ecological Applications [In Press].Minnesota Environment and Natural Resources Trust Fund, as recommended by the Legislative-Citizen Commission on Minnesota Resources (project M.L. 2016, Chp. 186, Sec. 2, Subd.03j)Minnesota Department of Natural ResourcesUniversity of Minnesota DuluthUniversity of Minnesota Twin CitiesJohnson-Bice, Sean M; Ferguson, Jake M; Erb, John D; Gable, Thomas D; Windels, Steve K. (2020). R Code and Data Supporting: Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/rwp5-6413
Data and R code to support: Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling
No full textThese files are the data and code needed to reproduce the analysis of the manuscript "Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling". The data include spatial coordinates of transects used to survey for zebra mussels in Lake Sylvia and Lake Burgan in the summer of 2017, the counts of zebra mussels on each transect, and environmental covariates collected along transects and at each detection. We also provide the R code needed to process and analyze these data following the distance survey approach described in the manuscript. We provide code for a straightforward distance survey, which doesn't include any spatial covariate information, as well as a more computationally intensive analysis that does include spatial covariates.Minnesota Environmental and Natural Resources Trust Fund, Minnesota Agricultural Experimental Station, McKnight FoundationFerguson, Jake M; Fieberg, John R; McCartney, Michael A.; Blinick, Naomi S.; Schroeder, Leslie. (2019). Data and R code to support: Estimating densities of zebra mussels (Dreissena polymorpha) in early invasions using distance sampling. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/d6hc-bw36
R Code and Data Supporting: A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha)
No full textContains data for three different survey methods (quadrat, removal, and distance-removal) in three central Minnesota Lakes. R code contains methods for formatting and estimating density in all three methods. See readme file for more information.This repository contains data and R code supporting Ferguson et al. A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha).Minnesota Aquatic Invasive Species Research CenterMinnesota Environmental and Natural Resources Trust FundFerguson, Jake M; Jimenez, Laura; Keyes, Aislyn A; Hilding, Austen; McCartney, Michael A; St. Clair, Katie; Johnson, Douglas H; Fieberg, John R. (2023). R Code and Data Supporting: A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha). Retrieved from the University Digital Conservancy, https://doi.org/10.13020/bjdp-p977
Supplemental_material – Supplemental material for Focal duodenal necrosis in chickens: attempts to reproduce the disease experimentally and diagnostic considerations
No full textSupplemental material, Supplemental_material for Focal duodenal necrosis in chickens: attempts to reproduce the disease experimentally and diagnostic considerations by Ana M. Villegas, Lisa Stabler, Robert J. Moore, Francisco A. Uzal, Jake A. Lacey, Charles Hofacre, Margie Lee, Naola Ferguson-Noel, Rosetta Barber, Claire-Sophie Rimet, Carmen Jerry, Woo Kyun Kim, Barquiesha Madison and Monique França in Journal of Veterinary Diagnostic Investigation</p
R Code and Output Supporting: Computational reproducibility in The Wildlife Society's flagship journals
No full textA full description of the data and code files is provided in the attached README.txt. Briefly, each html file uses the raw data (or processed data) to create results and figures for the manuscript. The script in 01_processing_data.html should be run first before any other subsequent scripts can be run. The zipped folder (item K) contains all of the Program R files (.R extension) for each of the html files.The goal of this study was to gauge the level of computational reproducibility, which is the ability to reach the same results using the same data and analysis methods, in the field of wildlife sciences. We randomly selected 80 papers published in the Journal of Wildlife Management and Wildlife Society Bulletin between 1 June 2016 and 1 June 2018. Of those for which we could obtain data, we attempted to reproduce their quantitative results using the original methods and data. The dataset shared in this repository is the de-identified results of our review, and the code provided here produces the results and figures in our published manuscript.Concordia College, Moorhead, Minnesota (Centennial Scholars Program)ArchMiller, Althea A; Johnson, Andrew D; Nolan, Jane; Edwards, Margaret; Elliot, Lisa H; Ferguson, Jake M; Iannarilli, Fabiola; Velez, Juliana; Vitense, Kelsey; Johnson, Douglas H; Fieberg, John R. (2019). R Code and Output Supporting: Computational reproducibility in The Wildlife Society's flagship journals. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/jny1-wy60
Poiesis and Obstruction in Art Practice
No full textThis PhD thesis examines the concept of poiesis, that is ‘calling into existence that which was not there before’, in the context of obstruction in studio practice. It poses the question ‘Is there a methodology that engages with obstruction which in turn calls new work’? In this thesis, the concept of poiesis emerging from the late Dr. Murray Cox’s ‘Aeolian Mode’, is analyzed alongside a concept of praxis, (a philosophical companion to poiesis), familiar to artistic practice. This thesis describes the orientation of the original idea, The Aeolian Mode, clinically developed by Dr. Murray Cox in Broadmoor Psychiatric Hospital. This PhD seeks to identify if there are similar ‘tenets of approach’ held within the methodology of ‘The Aeolian Mode’, that would be useful or are identifiable in artistic studio practice. This thesis draws on the work of the philosopher, Professor Richard Kearney, specifically Kearney’s ideas on the necessity of ‘the other’ for ‘radical possibility’ to occur. It maps a context of both Freudian and Jungian interpretations of art practice, identifying how these ideas have shaped the way art is seen today. Furthermore, it challenges the Freudian idea of ‘pathography’ and favours a Jungian approach of ‘individuation’ in the understanding of creative processes. It develops a ‘methodology of the conversation’, interviewing students, established artists, tutors about their approaches to obstruction/poiesis in art practice. Additionally, it examines my own obstruction to painting and identifies the methodology that released me from this obstruction. Conducting these interviews on art practice has enabled me to confirm my initial concerns about Freudian ‘pathography’ whilst validating the possibility of the Jungian concept of ‘individuation’ being of use to art practice. Finally, this PhD discusses the implications for further study and research, which have emerged during the ‘methodology of the conversation’ and the task of dissolving my obstruction to painting
The relationship between group size and population abundance in foraging birds and ungulates
No full textM.S
Using near misses to teach concepts to a human intelligence system
No full textThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (page 63).If we are to understand how we can build artificial intelligence machines that are able to organically process and acquire knowledge like humans do, we must first understand how to teach a human intelligence system to model and learn generic concepts without resorting to mechanistic hand-coding of such concepts. Such an achievement in human intelligence is an important stride towards the realization of Minsky's hypothetical "baby machine." Genesis is a story-understanding system that reads and analyzes stories in simple English, as humans do. Genesis can recognize certain sequences of events as particular manifestations of some user-defined concepts, such as revenge or physical retaliation. However, both the structure and definition of these high-level concepts must be explicitly provided by the user, and must be exactly matched using concept patterns against sequences of events in a story. I propose that this paradigm is unlike how humans learn such concepts, and instead, such concepts are learned by example, not by explicit definition. To introduce this organic, example-driven paradigm to Genesis, I have created STUDENT, a system that ingests a small series of positive and negative examples of concepts and builds an internal model for these concepts. By aligning similar examples of concepts together, I have constructed refined concept patterns which encompass multiple, different manifestations of the concepts, without requiring a human to explicitly define them. Adding this capability to Genesis enables it to learn concepts by example from a teacher. This behavior emulates how maturing humans learn concepts. Achieving this ability to emulate a human's learning process for a new idea brings us one step closer to modeling human intelligence and story understanding.by Jake A. Barnwell.M. Eng
Interactions between the invasive parasite, Philornis downsi, and its Darwin’s finch hosts: a matrix modeling approach
No full textSix StudioR codes elaborating Philornis downsi matrix models: (1) A parameterized Philornis downsi matrix model with associated eigenanalysis; (2) A parameterized Philornis downsi matrix model with population simulations in which density-independent egg mortality is varied; (3) A parameterized Philornis downsi matrix model with population simulations in which density-independent larval mortality is varied; (4) A parameterized Philornis downsi matrix model with population simulations in which density-independent pupal mortality is varied; (5) A parameterized Philornis downsi matrix model with population simulations in which density-independent mortality of reproductive adults (‘Adult2’) is varied; and (6) Simulation of a parameterized Philornis downsi matrix model with population simulations in which density-independent pupal mortality is varied and the survival of host nestling is assessed over 5 brood sizes.Philornis downsi, a parasitic fly native to mainland South America, has become invasive in the Galapagos Islands where it causes severe mortality in several species of Darwin’s finches. Female flies lay eggs in bird nests, and larvae feed on the blood of nestlings. Both the percentage of infested nests and the number of larvae per nest are higher in Galapagos than in the fly’s native range, resulting in high nestling mortality and raising serious conservation concerns. To better understand the factors limiting P. downsi population growth, we developed a stage-structured matrix model incorporating empirically estimated survivorship and duration for each life stage as well as two forms of density-dependent dynamics: (1) density-dependent oviposition behavior constrained by the maximum number of immature flies that finch nests can support, and (2) density-dependent mortality of P. downsi larvae due to competition among larvae. These additions provided ecological realism and allowed population simulation outcomes to be interpreted at per-nest scales. Finally, we introduced a range of density-independent mortality values for P. downsi eggs, larvae, pupae and adults to identify which life-stage mortality most strongly influences finch survival. Our comparison indicates that increasing pupal mortality has the strongest effect on the per-nest abundance of P. downsi (and thus finch survival), consistent with pupation occurring after larval density-dependent mortality. We discuss the implications of these effects for management of P. downsi, focusing on the potential importation of pupal parasitoids as biological control agents.US-Israel Binational Science Foundation (BSF #2016046)Rueda-Cediel, Pamela; Koop, Jennifer AH; Ferguson, Jake M; Jurkevitch, Edouard; Causton, Charlotte E; Heimpel, George E. (2026). Interactions between the invasive parasite, Philornis downsi, and its Darwin’s finch hosts: a matrix modeling approach. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://hdl.handle.net/11299/277915
The Need for Pet Fitness Facilities
No full textA business plan for a new pet fitness center and how these centers will help keep you and your pet fitFall 2013Accompanied by vide
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