5,082 research outputs found
Learning to Teach in Mixed-Reality Simulated Virtual Environments at a Hispanic Serving Institution (HSI)
As a result of the COVID-19 pandemic, faculty at a Hispanic serving institution shifted from face-to-face to totally online teaching. The authors describe two assignments for teacher candidates that required them to design and deliver lessons that focused on practicing two high-leverage practices utilizing Mursion, a mixed-reality simulation (MRS) software and platform. MRS sessions were delivered through Zoom video conferencing and were delivered asynchronously. Benefits, challenges, and limitations of using MRS in conjunction with Zoom in online courses were identified and discussed. Detailed logistics for planning, preparing, and executing MRS effectively were provided. The authors describe implications for remote learning as it related to teaching at an HSI located in one of the poorest areas of the U.S., with one of the most vulnerable populations
Assessing the effects of variables and background selection on the capture of the tick climate niche
Background: Modelling the environmental niche and spatial distribution of pathogen-transmitting arthropods involves various quality and methodological concerns related to using climate data to capture the environmental niche. This study tested the potential of MODIS remotely sensed and interpolated gridded covariates to estimate the climate niche of the medically important ticks Ixodes ricinus and Hyalomma marginatum. We also assessed model inflation resulting from spatial autocorrelation (SA) and collinearity (CO) of covariates used as time series of data (monthly values of variables), principal components analysis (PCA), and a discrete Fourier transformation. Performance of the models was measured using area under the curve (AUC), autocorrelation by Moran's I, and collinearity by the variance inflation factor (VIF).Results: The covariate spatial resolution slightly affected the final AUC. Consistently, models for H. marginatum performed better than models for I. ricinus, likely because of a species-derived rather than covariate effect because the former occupies a more limited niche. Monthly series of interpolated climate always better captured the climate niche of the ticks, but the SA was around 2 times higher and the maximum VIF between covariates around 30 times higher in interpolated than in MODIS-derived covariates. Interpolated or remotely sensed monthly series of covariates always had higher SA and CO than their transformations by PCA or Fourier. Regarding the effects of background point selection on AUC, we found that selection based on a set of rules for the distance to the core distribution and the heterogeneity of the landscape influenced model outcomes. The best selection relied on a random selection of points as close as possible to the target organism area of distribution, but effects are variable according to the species modelled.Conclusion: Testing for effects of SA and CO is necessary before incorporating these covariates into algorithms building a climate envelope. Results support a higher SA and CO in an interpolated climate dataset than in remotely sensed covariates. Satellite-derived information has fewer drawbacks compared to interpolated climate for modelling tick relationships with environmental niche. Removal of SA and CO by a harmonic regression seems most promising because it retains both biological and statistical meaning.Peer reviewedVeterinary Pathobiolog
Rejection of the name Borreliella gen. nov. and all proposed species comb. nov. placed therein. Request for an opinion
Rejection (nomen rejiciendum) of the name Borreliella gen. nov. and all new combinations therein is being requested on grounds of risk to human health and patient safety (Principle 1, subprinciple 2 and Rule 56a) and violation to aim for stability of names, avoid useless creation of names (Principle 1, subprinciple 1 and 3) and that names should not be changed without sufficient reason (Principle 9 of the Code)
A review of the systematics of the tick family Argasidae (Ixodida)
The tick family Argasidae is a complex and diverse assemblage of about 190 species. Taxa within the Family Ixodidae had received considerable attention by contemporary researchers, but currently there is no consensus about the relevant morphological features for the determination of argasid species nor there is consensus on the appropriate genus for about 130 species. As a result, many species of Argasidae have not been yet adequately described. The generic and subgeneric arrangements are still a matter of discussion and currently there is no strict description of supraspecific systematics of this group. In this review, we introduce the competing proposals for the systematics of the family Argasidae, together with an overview of prominent morphological, ecological and behavioural features, which are of interest in a synthesis of the family. Special attention is paid to previous attempts to systematize the group based on cladistic analysis, outlining the possible pros and cons of such a method. We also present the largest phylogenetic tree of the family in terms of the number of species resolved by molecular biology based on 16S rDNA. This tree provides support for some of the previously proposed systematic arrangements based on morphology alone, and shows no basic differences with other previously published trees using either nuclear or mitochondrial, coding or non-coding genes. Our main conclusion is that we are still far from an accurate view of the main evolutionary lines of the family. There is thus an urgent need to obtain additional material to, first, explore the relative position of the different species in the phylogenetic arrangement of the family, and second, to capture adequate morphological features which could support a systematic key, necessary for any kind of faunistic or epidemiological studies.Fil: Estrada Pena, Agustín. Universidad de Zaragoza; EspañaFil: Mangold, Atilio Jose. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Santa Fe. Estacion Experimental Agropecuaria Rafaela. Agencia de Extension Rural Rafaela; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Nava, Santiago. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Santa Fe. Estacion Experimental Agropecuaria Rafaela. Agencia de Extension Rural Rafaela; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Venzal, José M.. Universidad de la República; UruguayFil: Labruna, Marcelo. Universidade de Sao Paulo; BrasilFil: Guglielmone, Alberto Alejandro. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Santa Fe. Estacion Experimental Agropecuaria Rafaela. Agencia de Extension Rural Rafaela; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
International Network for Capacity Building for the Control of Emerging Viral Vector-Borne Zoonotic Diseases: Arbo-Zoonet
Arboviruses are arthropod-borne viruses, which include West Nile fever virus (WNFV), a mosquito-borne virus, Rift Valley fever virus (RVFV), a mosquito-borne virus, and Crimean-Congo haemorrhagic fever virus (CCHFV), a tick-borne virus. These arthropod-borne viruses can cause disease in different domestic and wild animals and in humans, posing a threat to public health because of their epidemic and zoonotic potential. In recent decades, the geographical distribution of these diseases has expanded. Outbreaks of WNF have already occurred in Europe, especially in the Mediterranean basin. Moreover, CCHF is endemic in many European countries and serious outbreaks have occurred, particularly in the Balkans, Turkey and Southern Federal Districts of Russia. In 2000, RVF was reported for the first time outside the African continent, with cases being confirmed in Saudi Arabia and Yemen. This spread was probably caused by ruminant trade and highlights that there is a threat of expansion of the virus into other parts of Asia and Europe. In the light of global warming and globalisation of trade and travel, public interest in emerging zoonotic diseases has increased. This is especially evident regarding the geographical spread of vector-borne diseases. A multi-disciplinary approach is now imperative, and groups need to collaborate in an integrated manner that includes vector control, vaccination programmes, improved therapy strategies, diagnostic tools and surveillance, public awareness, capacity building and improvement of infrastructure in endemic regions
Contributions to the morphology and phylogeny of the newly discovered bat tick species, Ixodes ariadnae in comparison with I. vespertilionis and I. simplex
Background: Recently a new hard tick species, Ixodes ariadnae has been discovered, adding to the two known ixodid tick species (I. vespertilionis and I. simplex) of bats in Europe. Findings: Scanning electron microscopic comparison of adult females of these species shows morphological differences concerning the palps, the scutum, the Haller's organ, the coxae, as well as the arrangement and fine structure of setae. Molecular analysis of 10 geographically different isolates revealed 90-95% sequence homology in the 12S and 16S rDNA genes of bat tick species. Based on 12S rDNA sequences, genotypes of I. ariadnae clustered closest to I. simplex, whereas according to their 16S rDNA gene they were closest to I. vespertilionis. The subolesin gene of I. ariadnae had only 91% sequence homology with that of I. ricinus, and is the longest known among hard tick species. Conclusions: The present study illustrates the morphology and clarifies the phylogenetic relationships of the three known bat tick species that occur in Europe. According to its subolesin gene I. ariadnae may have a long evolutionary history
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