4,386 research outputs found
Roman Signer
A sole-authored book commissioned by Dumont/Flick Collection; with English and German editions published Spring 2007, launched Autumn 2007 alongside a major solo show of Signer at the Rieckshalle, Hamburger Bahnhof, Berlin. Only two illustrated critical surveys of this artist's work exist (the other: Roman Signer, Phaidon 2006).
This commission arose from a two-hour sound interview conducted on the occasion of the artist's 2003 retrospective at Hauser and Wirth, St Gallen (extract in Audio Arts magazine, 2004). Signer was the subject of an Artforum International review by Withers (October 2003 pp.198-199) and commented on Signer's work in the review: Liverpool Biennial I in Nu, The Nordic Art Review (December 1999 p.79). These ideas were subsequently developed for the book.
The monograph includes a 25,000-word interview edited from material recorded in Signer's studio in St Gallen, Switzerland, over seven days in 2005. The most extensive Signer interview in print, it contains much previously undocumented information and commentary by the artist. The book comprises a 25,000 word interview edited from material recorded in Signer’s studio in St Gallen Switzerland over seven days in 2005; and a 16,000-word essay considering the interrelationship of temporality with themes of catastrophe, ecology and humour in Signer's work. The text in part responds to Paul Good's philosophical study of Signer's work, Time Sculpture. It contrasts the time-theories of Henri Bergson, Gaston Bachelard and Cornelius Castoriadis and argues that a necessarily spilt consciousness of time underpins the temporality of Signer's 'time-sculptures'. New links are made between Signer's work and the contested chronotypes of the twentieth century ecological movement. New comparisons are made between Signer's humour and Buster Keaton's films
R Code and Output Supporting: A 'How-to' Guide for Interpreting Parameters in Habitat-Selection Analyses
See uploaded readme file.This repository contains data and R code (along with associated output from running the code) supporting all results reported in: Fieberg, J., Signer, J. 2021. A 'How-to' Guide for Interpreting Parameters in Habitat-Selection Analyses. Journal of Animal Ecology. The code demonstrates how to correctly interpret parameters in habitat- and step-selection functions and methods for implementing integrated step-selection analyses using the amt package.Fieberg, John R; Signer, Johannes; Smith, Brian; Avgar, Tal. (2021). R Code and Output Supporting: A 'How-to' Guide for Interpreting Parameters in Habitat-Selection Analyses. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/2q0q-yq05
Visitation of artificial watering points by the red fox (Vulpes vulpes) in semiarid Australia
Abstract The introduced red fox (Vulpes vulpes) now occupies most of the Australian continent outside the tropics, including arid and semiarid ecosystems. Information on the water requirements of foxes is scant, but free water is not thought to be required if adequate moisture‐containing food is available. The frequency and duration of visits by foxes fitted with GPS collars to known artificial watering points in semiarid Australia were recorded for 22 individual foxes across four austral seasons between October 2015 and November 2017, providing >93,000 location fixes. We modeled home range and the distance traveled by range‐resident foxes beyond their home range to reach known water sources. We used recurse analysis to determine the frequency of visitation and step‐selection functions to model the speed and directionality of movement inside and outside the home range. Our study demonstrates that some foxes in this semiarid environment utilize free‐standing water. The findings suggest that artificial watering points can be used as a focal point for conducting strategic fox control in arid and semiarid environments. Additionally, strategies that restrict access to water by foxes may reduce their duration of occupancy and/or long‐term abundance in parts of the landscape, thus providing benefits for conservation and agriculture
SEEHEAR: signer diarisation and a new dataset
In this work, we propose a framework to collect a large-scale, diverse sign language dataset that can be used to train automatic sign language recognition models.The first contribution of this work is SDTrack, a generic method for signer tracking and diarisation in the wild. Our second contribution is SeeHear, a dataset of 90 hours of British Sign Language (BSL) content featuring more than 1000 signers, and including interviews, monologues and debates. Using SDTrack, the SeeHear dataset is annotated with 35K active signing tracks, with corresponding signer identities and subtitles, and 40K automatically localised sign labels. As a third contribution, we provide benchmarks for signer diarisation and sign recognition on SeeHear
A fresh look at an old concept: home-range estimation in a tidy world
A rich set of statistical techniques has been developed over the last several decades to estimate the spatial extent of animal home ranges from telemetry data, and new methods to estimate home ranges continue to be developed. Here we investigate home-range estimation from a computational point of view and aim to provide a general framework for computing home ranges, independent of specific estimators. We show how such a workflow can help to make home-range estimation easier and more intuitive, and we provide a series of examples illustrating how different estimators can be compared easily. This allows one to perform a sensitivity analysis to determine the degree to which the choice of estimator influences qualitative and quantitative conclusions. By providing a standardized implementation of home-range estimators, we hope to equip researchers with the tools needed to explore how estimator choice influences answers to biologically meaningful questions
Signer\u27s Gift – Rudolf Signer and DNA
In early May 1950, Bern chemistry professor Rudolf Signer traveled to a meeting of the Faraday Society in London with a few grams of DNA to report on his success in the isolation of nucleic acids from calf thymus glands. After the meeting, he distributed his DNA samples to interested
parties amongst those present. One of the recipients was Maurice Wilkins, who worked intensively with nucleic acids at King\u27s College in London. The outstanding quality of Signer\u27s DNA – unique at that time – enabled Maurice Wilkins\u27 colleague Rosalind Franklin to make the famous
X-ray fiber diagrams that were a decisive pre-requisite for the discovery of the DNA double helix by James Watson and Francis Crick in the year 1953. Rudolf Signer, however, had already measured the physical characteristics of native DNA in the late thirties. In an oft-quoted work which he
published in Nature in 1938, he described the thymonucleic acid as a long, thread-like molecule with a molecular weight of 500,000 to 1,000,000, in which the base rings lie in planes perpendicular to the long axis of the molecule. Signer\u27s achievements and contributions to DNA research have,
however, been forgotten even in Switzerland
Detecting the influence of environmental covariates on animal movement: a semivariance approach
Movements of organisms are influenced by environmental variation. For example, the movement rates of animals in unsuitable habitats are often different from movement rates of animals foraging in high-quality habitats. Different statistical methods to detect such effects exist, but they often rely on complete and regularly sampled data or require the formulation of an explicit movement model. We propose an extension to a recently introduced semivariance framework to identify the effects of environmental or other kinds of covariates on animal movement. Our extension also applies to sparse and irregularly sampled data, and it does not require the formulation of an explicit movement model. Within this extension of the semivariance framework, the observed movement rates at different time lags are modelled as a linear regression of the environmental covariates. To account for the inherent autocorrelation in semivariance data, we test for the statistical significance of the influence of covariates using a permutation approach. Our approach correctly identified covariates that influenced or did not influence movement rates in a simulation study. In a case study based on tracking data of a single female red deer (Cervus elaphus) individual from southern Austria, an application of the method showed that movement rates peaked during periods of intermediate temperature, but they do not co-vary with altitude and precipitation
): A new, user‐friendly R package for analyses of wildlife telemetry data
Analyzing wildlife tracking data frequently involves the estimation of home ranges. However, home range studies frequently lack important analytical steps, or only insufficiently report results. This makes it difficult for other researchers to evaluate, compare, and reproduce results from published home-range studies. To facilitate more thorough home-range analyses and reporting of analytical details, we developed a package for the statistical software package R that offers a user-friendly platform for comprehensive home-range analyses. Importantly, the package automatically generates a summary report that contains all analytical parameters used during analyses, and lists the main findings. To improve usability of the package, we also provide a graphical user interface that can be called from R without any programming skills. We currently implemented the calculation of site fidelity, time to statistical independence, minimum convex polygon, kernel density estimation, Brownian Bridge Movement Model, Jennrich-Turner Ellipses, local convex hull, estimation of home range asymptote, and area-independent core-area estimation. (C) 2015 The Wildlife Society
Signer and Message Ambiguity from a Variety of Keys
A signer and message ambiguous signature enables a recipient to request a signer to sign a sensible message such that the signer cannot guess what message he signed and the receiver cannot deduce the signer\u27s identity. In this work, we formalize this type of signature, introduce the corresponding security requirements and describe two instantions. The first one assumes that the signer hides his identity in independently generated public keys, while the second one assumes that all public keys share the same public parameters
SEEHEAR: SIGNER DIARISATION AND A NEW DATASET
In this work, we propose a framework to collect a large-scale, diverse sign language dataset that can be used to train automatic sign language recognition models. The first contribution of this work is SDTRACK, a generic method for signer tracking and diarisation in the wild. Our second contribution is SEEHEAR, a dataset of 90 hours of British Sign Language (BSL) content featuring a wide range of signers, and including interviews, monologues and debates. Using SDTRACK, the SEEHEAR dataset is annotated with 35K active signing tracks, with corresponding signer identities and subtitles, and 40K automatically localised sign labels. As a third contribution, we provide benchmarks for signer diarisation and sign recognition on SEEHEA
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