1,379 research outputs found
Fig. 3 in Predicting the global mammalian viral sharing network using phylogeography
No full textFig. 3 Taxonomic and geographic patterns of mean predicted viral sharing link numbers (degree centrality). Top row: all viral sharing links; middle row: viral sharing links with species in the same order; bottom row: viral sharing links with species in another order. a, c, e Average species-level viral sharing link numbers for mammalian orders in our dataset. Bars represent means; error bars represent standard errors. b, d, f Geographic distributions of mean viral sharing link numbers. Distributions were derived by summing the viral sharing link numbers of all species inhabiting a 25 km2 grid square and dividing them by the number of species inhabiting the grid square, giving mean degree number at the grid level.Published as part of Albery, Gregory F., Eskew, Evan A., Ross, Noam & Olival, Kevin J., 2020, Predicting the global mammalian viral sharing network using phylogeography, pp. 364001 in Nature Communications 11 (1) on page 5, DOI: 10.1038/s41467-020-16153-4, http://zenodo.org/record/381812
Fig. 1 Viral sharing GAMM outputs and data distribution. a in Predicting the global mammalian viral sharing network using phylogeography
No full textFig. 1 Viral sharing GAMM outputs and data distribution. a Predicted viral sharing probability increases with increasing phylogenetic relatedness; the different coloured lines represent different geographic overlap values. b Predicted viral sharing probability increases with increasing geographic overlap; the different coloured lines represent different phylogenetic relatedness values. c The geographic overlap:phylogenetic similarity interaction surface, where the darker colours represent increased probability of viral sharing. White contour lines denote 10% increments of sharing probability. Labels have been removed from some contours to avoid overplotting. d Hexagonal bin chart displaying the data distribution, which was highly aggregated at low values of phylogenetic similarity and especially of geographic overlap.Published as part of Albery, Gregory F., Eskew, Evan A., Ross, Noam & Olival, Kevin J., 2020, Predicting the global mammalian viral sharing network using phylogeography, pp. 364001 in Nature Communications 11 (1) on page 3, DOI: 10.1038/s41467-020-16153-4, http://zenodo.org/record/381812
Comparative Network Studies Database
No full textDataset containing information on all comparative social network studies used in the paper Comparative Approaches in Social Network Ecology. Dataset has 49 rows. Columns as follows: Title: The title of the study Author: Information on the authorship team ASNR: Whether or not the study used the animal social network repository (ASNR). Two-level variable (Y/N) Disease simulation?: Whether or not the study included epidemiological simulations. Two-level variable (Y/N) Number of networks: Number of distinct networks in study (where information is clear) Number of species: Number of species in study (where information is clear) Humans: Whether or not the study included humans. Two-level variable (Y/N) Research Topic: Research area of study. Free text. Research Field: Broad research field of study. (Beh=Behaviour; Dis=Disease; Wel=Welfare; Meth=Methodological; Dat=Dataset) Primates?: Whether or not the study included primates. Two-level variable (Y/N) Comments: Any additional information. Free text. Link: Link to the studySilk, Matthew; Albery, Gregory F. (2023). Comparative Network Studies Database. figshare. Dataset. https://doi.org/10.6084/m9.figshare.24552514.v
Predicting the global mammalian viral sharing network using phylogeography
No full textData and code to replicate the findings of Albery et al., 202
Spatiotemporal and individual drivers of variation in parasitism and immunity in wild red deer
No full textParasites are a ubiquitous presence in nature that can profoundly impact the
evolution and ecology of their hosts. Despite their longstanding interest for many
branches of mammalian biology, there are relatively few large-scale longitudinal
investigations of immunity and parasitism in large wild mammals. Furthermore, very
few studies take full advantage of longitudinal studies’ ability to examine
spatiotemporal variation, life history correlates, and fitness consequences of
immunity and parasitism simultaneously.
This thesis comprises the first parasitological and immunological investigation in the
individually-monitored study population of red deer (Cervus elaphus) on the Isle of
Rum in the Inner Hebrides, Scotland. Over the course of nine field seasons spanning
2016-2018, colleagues and I collected 2091 faecal samples from 447 identified
individuals. I examined these faecal samples for eggs and larvae of gastrointestinal
helminth parasites and protozoa. I particularly focussed on counts of three highly
prevalent helminth taxa: strongyle nematodes, the common liver fluke Fasciola
hepatica, and the tissue nematode Elaphostrongylus cervi. In addition, I adapted and
employed a method of faecal antibody quantification originally developed for use in
sheep. Samples were analysed for total immunoglobulin A (IgA) and anti-
Teladorsagia circumcincta-specific IgA, giving measures of both general and specific
immune allocation.
I used these immune and parasite measures in several analyses, making use of the
high-resolution life history, fitness, and behavioural data available for the Rum red
deer population, focussing mainly on samples collected from adult females. The
principal findings were:
1. The red deer were infected with multiple species of helminths and
protozoa, present at high prevalence but relatively low intensity. These
parasites showed seasonal patterns of infection with strong age and sex
biases, all of which varied between parasite taxa. Generally, younger
individuals had higher helminth intensities, and autumn and winter
seasons featured the lowest parasite intensities.
2. Parasite counts were repeatable within individuals. However, repeatability
varied according to the sampling timescale, with strongyle counts being
more similar within sampling trips than between trips. This implied
contrasting seasonal patterns in different individuals, so that sampling at
different times of year would give different impressions of patterns of
parasitism across the population.
3. Females that reproduced had lower antibody levels and higher parasite
intensities in the following year. However, different components of
reproduction had different costs for different immune and parasite
measures: gestation was associated with lower total IgA levels, while only
lactation resulted in increased parasite counts, implying an important role
of exposure in mediating reproduction-parasitism tradeoffs in this system.
4. I investigated the impact of reproduction, immunity, and parasitism on
fitness-related traits using path analysis. Parasite count in a given year was
found to correlate negatively with reproduction the following year,
indicating a possible cost of parasitism for multiple fitness-related traits,
above and beyond that accounted for by current reproductive status itself.
Increased anti-Teladorsagia circumcincta IgA was also found to be
associated with increased probability of reproduction, beyond any
association with strongyles themselves.
5. I quantified and controlled for spatial patterns of immunity and parasitism
using Integrated Nested Laplace Approximation (INLA) models. These
analyses revealed stark differences in the range and patterns of spatial
heterogeneity for different immune and parasite measures. However, fixed
effects remained largely unchanged by the incorporation of spatial effects,
indicating that spatial variation was unlikely to be confounding my earlier
findings.
I discuss these findings and their implications for longitudinal studies of immunity
and parasitism in wild animals and the further integration of spatiotemporal, life
history, immune, and parasite data
Predicting the global mammalian viral sharing network using phylogeography
No full textData and code to replicate the findings of Albery et al., 202
Fig. 2 in Predicting the global mammalian viral sharing network using phylogeography
No full textFig. 2 The predicted viral sharing network predicts observed trends in an independent dataset. In all figures, points are jittered along the x-axis according to a density function; the black points and associated error bars are means ± standard errors. a Species pairs with higher predicted viral sharing probability from our model were more likely to be observed sharing a virus in the independent EID2 dataset. This comparison excludes species pairs that were also present in our training data. b Species that hosted a zoonotic virus in our dataset had more viral sharing links in the predicted all-mammal network than those without zoonotic viruses. c Species that had never been observed with a virus have fewer links in the predicted network than species that were known to host viruses in the EID2 dataset only, in our training data only, or in both. The y-axis represents viral sharing link number, scaled to have a mean of 0 and a standard deviation of 1 within each order for clarity. Black points represent means; error bars represent standard errors. Supplementary Figure 5 displays these same data without the within-order scaling.Published as part of Albery, Gregory F., Eskew, Evan A., Ross, Noam & Olival, Kevin J., 2020, Predicting the global mammalian viral sharing network using phylogeography, pp. 364001 in Nature Communications 11 (1) on page 4, DOI: 10.1038/s41467-020-16153-4, http://zenodo.org/record/381812
Unwelcome And Unlawful: Sexual Harassment in the American Workplace
No full textNearly every American woman will, at some point during her working life, be sexually harassed, according to Raymond F. Gregory, a lawyer specializing in employment and discrimination law. This book provides information for those victims as well as for those suffering same sex harassment and for male victims of sexual harassment. Gregory analyzes sexual harassment from the perspective of existing federal law and describes the legal rights that may be asserted by victims of harassment to obtain either injunctive or monetary relief. By clarifying little understood aspects of the law barring sexual harassment, the author presents an indispensable resource for victims seeking to learn what to expect from the legal system if they contest the actions of their harassers in the courts
Gregory Antiochos on the "Crusade" of 1179
No full textThe author analyses the funeral oration given on January 20th, 1182 by Gregory Antiochos and tries to identify who were Manuel Komnenos's enemies referred to, as is usual in this literary genre, in a rather allusive, yet precise way. They may have included Louis VII King of France who gave up the leadership of the crusade due to illness and was replaced by Henri de Troyes, a relation of his, also referred to in the oration. The enemy in the East would be the Seljuk sultan Kilic Arslan allied with Louis VII against their common enemy, Saladin.REB 63, 2005, p. 151-166.
Andrew F. Stone, Gregory Antiochos on the «Crusade» of 1179. - En analysant l'oraison funèbre délivrée le 20 janvier 1181 par Grégoire Antiochos, l'auteur essaie d'identifier les ennemis de Manuel Comnène désignés, comme à l'habitude dans ce genre littéraire, de manière allusive, mais précise. On compterait parmi eux le roi de France, Louis VII, qui avait renoncé, en raison de sa maladie, à conduire une croisade dont il avait laissé le commandement à son parent, Henri de Troyes, aussi mentionné dans l'oraison. L'ennemi en Orient serait le sultan seldjoukide Kilidj Arslan qui se serait allié au roi Louis VII dans leur commune hostilité à Saladin.Stone Andrew F. Gregory Antiochos on the "Crusade" of 1179. In: Revue des études byzantines, tome 63, 2005. pp. 151-166
Coleman, Adkerson, Marszalek, and Gregory at program and book signing with author Donald L. Miller
No full textFrances Coleman, Dean of MSU Libraries; Richard C. Adkerson, President, CEO and Vice Chairman of Freeport-McMoRan Copper & Gold Inc.; Dr. John F. Marszalek, Executive Director & Managing Editor for U.S. Grant Association, and Kate Gregory, Assistant Professor/ Political Papers Archivist of MSU Libraries pose for a photo before the program
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