Diseases of Cattle in Australasia: A Comprehensive Textbook

"Diseases in of Cattle in Australasia" provides cattle practitioners and veterinary students with an authoritative text on cattle diseases that may be encountered in the predominantly pasture-based environments in New Zealand and Australia. The cattle industry in Australasia is the largest animal industry in the region, and includes the dairy, pasture-fed beef, feedlot, and live-export sectors. The industry operates across a wide range of environments and production systems, and more than half of the produced dairy and beef commodities are exported. This textbook is arranged in 25 chapters, commencing with an overview of the dairy and beef industries in New Zealand and Australia and ending with a chapter on practical therapeutics, and comes with an extensive image library on CD-ROM. The text has been mainly co-authored by Tim Parkinson, Jos Vermunt and Jakob Malmo, with additional contributions from fifteen other authors. The book is written from the perspective of the veterinary practitioner encountering the diseases in cattle on a farm. The reader is provided with a detailed outline of the diagnostic methodology based on clinical examination of body systems, with confirmation by ancillary tests and responses to treatment. The principal authors are eminently qualified and experienced. Tim Parkinson is currently Professor of Farm Animal Reproduction and Health at Massey University in New Zealand, and a Diplomate of the European College of Animal Reproduction and Fellow of the Royal College of Veterinary Surgeons. Tim has extensive practical, academic and research experience with cattle in both the United Kingdom and New Zealand. Jos Vermunt is a registered veterinary specialist in cattle medicine and Fellow of the Australian College of Veterinary Scientists, and has combined cattle practice in (the Netherlands, Middle East, Canada, New Zealand and Australia, with academic teaching and research. Jakob Malmo is a registered veterinary specialist in cattle medicine and Fellow of the Australian College of Veterinary Scientists, and has combined a career in private practice while running two dairy farms, with teaching cattle medicine to undergraduate veterinary science students at the University of Melbourne, and supervising postgraduate students undertaking research projects in commercial dairy herds. Together, these principal authors bring a wealth of practical, academic and research experience to this text. This is the definitive textbook on diseases of cattle in Australasia. All of the important diseases of cattle are covered, with particular emphasis on clinical examination, diseases of the gastrointestinal tract, lameness, mastitis, and reproductive disorders. The textbook will be an essential reference for cattle practitioners throughout Australia and New Zealand, and will have application where cattle are kept under similar conditions in other countries. The chapter on practical therapeutics for the c1ttle veterinarian will be of great value for veterinary students, and for the young cattle veterinarian to have in the car for reference during on-farm consultations

Mixed mode data clustering: an approach based on tectrachoric correlations

In this paper we face the problem of clustering mixedmode data by assuming that the observed binary variables aregenerated from latent continuous variables. We perform a principalcomponents analysis on the matrix of tetrachoric correlations and wethen estimate the scores of each latent variable and construct adata matrix with continuous variables to be used in fully Guassianmixture models or in the k-means cluster analysis. The calculationof the expected a posteriori (EAP) estimates may proceed by simplyconsidering a limited number of quadrature points. Results on asimulation study and on a real data set are reported

Evolution of regulatory signatures in primate cortical neurons at cell-type resolution

The human cerebral cortex contains many cell types that likely underwent independent functional changes during evolution. However, cell-type-specific regulatory landscapes in the cortex remain largely unexplored. Here we report epigenomic and transcriptomic analyses of the two main cortical neuronal subtypes, glutamatergic projection neurons and GABAergic interneurons, in human, chimpanzee, and rhesus macaque. Using genome-wide profiling of the H3K27ac histone modification, we identify neuron-subtype-specific regulatory elements that previously went undetected in bulk brain tissue samples. Human-specific regulatory changes are uncovered in multiple genes, including those associated with language, autism spectrum disorder, and drug addiction. We observe preferential evolutionary divergence in neuron subtype-specific regulatory elements and show that a substantial fraction of pan-neuronal regulatory elements undergoes subtype-specific evolutionary changes. This study sheds light on the interplay between regulatory evolution and cell-type-dependent gene-expression programs, and provides a resource for further exploration of human brain evolution and function

ϒ production in p–Pb collisions at √sNN=8.16 TeV

ϒ production in p–Pb interactions is studied at the centre-of-mass energy per nucleon–nucleon collision √sNN = 8.16 TeV with the ALICE detector at the CERN LHC. The measurement is performed reconstructing bottomonium resonances via their dimuon decay channel, in the centre-of-mass rapidity intervals 2.03 < ycms < 3.53 and −4.46 < ycms < −2.96, down to zero transverse momentum. In this work, results on the ϒ(1S) production cross section as a function of rapidity and transverse momentum are presented. The corresponding nuclear modification factor shows a suppression of the ϒ(1S) yields with respect to pp collisions, both at forward and backward rapidity. This suppression is stronger in the low transverse momentum region and shows no significant dependence on the centrality of the interactions. Furthermore, the ϒ(2S) nuclear modification factor is evaluated, suggesting a suppression similar to that of the ϒ(1S). A first measurement of the ϒ(3S) has also been performed. Finally, results are compared with previous ALICE measurements in p–Pb collisions at √sNN = 5.02 TeV and with theoretical calculations.publishedVersio

(Anti-)deuteron production in pp collisions at 1as=13TeV

The study of (anti-)deuteron production in pp collisions has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high-energy hadronic collisions. In this paper the production of (anti-)deuterons is studied as a function of the charged particle multiplicity in inelastic pp collisions at s=13 TeV using the ALICE experiment. Thanks to the large number of accumulated minimum bias events, it has been possible to measure (anti-)deuteron production in pp collisions up to the same charged particle multiplicity (d Nch/ d \u3b7 3c 26) as measured in p\u2013Pb collisions at similar centre-of-mass energies. Within the uncertainties, the deuteron yield in pp collisions resembles the one in p\u2013Pb interactions, suggesting a common formation mechanism behind the production of light nuclei in hadronic interactions. In this context the measurements are compared with the expectations of coalescence and statistical hadronisation models (SHM)

Multiplicity dependence of inclusive J/psi production at midrapidity in pp collisions at root s=13 TeV

Measurements of the inclusive J/psi yield as a function of charged-particle pseudorapidity density dN(ch)/d eta in pp collisions at root s = 13 TeV with ALICE at the LHC are reported. The J/psi meson yield is measured at midrapidity (vertical bar y vertical bar <0.9) in the dielectron channel, for events selected based on the charged-particle multiplicity at midrapidity (vertical bar eta vertical bar <1) and at forward rapidity (-3.7 <eta <-1.7 and 2.8 <eta <5.1); both observables are normalized to their corresponding averages in minimum bias events. The increase of the normalized J/psi yield with normalized dN(ch)/d eta is significantly stronger than linear and dependent on the transverse momentum. The data are compared to theoretical predictions, which describe the observed trends well, albeit not always quantitatively. (C) 2020 European Organization for Nuclear Research. Published by Elsevier B.V.Peer reviewe