Diseases of the nervous system of cattle in Mato Grosso do Sul, Brazil : 1082 cases

Foi realizado um estudo retrospectivo de janeiro de 2008 a dezembro de 2012 com base nos laudos de necropsia do Laboratório de Anatomia Patológica (LAP) da Faculdade de Medicina Veterinária e Zootecnia (FAMEZ), Universidade Federal de Mato Grosso do Sul (UFMS), com o intuito de descrever quais as doenças que afetam o sistema nervoso de bovinos que ocorrem no Mato Grosso do Sul. Os casos consistiam de acompanhados por técnicos do LAP e encaminhados por médicos veterinários que atuam no campo (autônomos ou do serviço veterinário oficial). De 1082 materiais analisados, 588 apresentavam histórico de sinais clínicos neurológicos. Destes, 341 (53,75%) tiveram diagnóstico correspondente a doenças neurológicas e 247 (46,25%) tiveram diagnóstico inconclusivos. As fichas clínico epidemiológicas foram revisadas para determinar dados referentes a epidemiologia, aos sinais clínicos e às alterações macroscópicas e microscópicas. O botulismo (16,67%), a raiva (15,92%), a polioencefalomalacia (8,05%) e a encefalite por herpesvirus bovino (4,31%) foram as enfermidade de maior frequência. Outras doenças como meningoencefalite não supurativa (2,62%), meningoencefalite supurativa (1,50%), abscessos cerebrais e osteomielite por compressão medular (1,31%), tétano (1,12%), hipotermia (0,94%), babesiose cerebral (0,75%), febre catarral maligna (0,37%) e lesões sugestivas de intoxicação por oxalato (0,19%) foram ocasionalmente diagnosticadas. Em nenhum dos casos foram observadas lesões que pudessem sugerir encefalopatia espongiforme bovina.The aim of this study was to describe the types of diseases that affect the nervous system of cattle from the State of Mato Grosso do Sul, Brazil. A retrospective study from January 2008 to December 2012 was perfomed, based on reports of cattle autopsies autopsy carried out by the Laboratório de Anatomia Patológica (LAP), Faculdade de Medicina Veterinária e Zootecnia (FAMEZ), Universidade Federal de Mato Grosso do Sul (UFMS). The material came from cases attended and forwarded to LAP by practicing veterinarians autonomous and from the official veterinary service. From 1028 cases studied, 588 presented a history of neurological clinical signs, 341 (53.75%) of which were diagnosed as affected bytrue neurological disease, and 247 (46.25%) had inconclusive diagnosis. The clinical records were reviewed to determine epidemiology, clinical signs, and gross and histopathological features. The most frequent diseases were botulism (16.67%), rabies (15.92%), polioencephalomalacia (8.05%), and herpesviral meningoencephalitis (4.31%). Other conditions were diagnosed occasionally, and included non suppurative meningoencephalitis (2.62%), suppurative meningoencephalitis (1.50%), brain abscesses and osteomyelitis caused by spinal cord compression (1.31%), tetanus (1.12%), hypothermia (0.94%), cerebral babesiosis (0.75%), malignant catarrhal fever (0.37%), and cases suggestive of oxalate poisoning (0.19%). No cases with lesions that may suggest of bovine spongiform encephalopathy were observed

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Measurements of the differential cross sections of the production of Z + jets and γ + jets and of Z boson emission collinear with a jet in pp collisions at s \sqrt{s} = 13 TeV

Measurements of the differential cross sections of Z + jets and γ + jets production, and their ratio, are presented as a function of the boson transverse momentum. Measurements are also presented of the angular distribution between the Z boson and the closest jet. The analysis is based on pp collisions at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of 35.9 fb−1 recorded by the CMS experiment at the LHC. The results, corrected for detector effects, are compared with various theoretical predictions. In general, the predictions at higher orders in perturbation theory show better agreement with the measurements. This work provides the first measurement of the ratio of the differential cross sections of Z + jets and γ + jets production at 13 TeV, as well as the first direct measurement of Z bosons emitted collinearly with a jet

Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC

The performance is presented of the reconstruction and identification algorithms for electrons and photons with the CMS experiment at the LHC. The reported results are based on proton-proton collision data collected at a center-of-mass energy of 13 TeV and recorded in 2016-2018, corresponding to an integrated luminosity of 136 fb(-1). Results obtained from lead-lead collision data collected at root S-NN = 5.02 TeV are also presented. Innovative techniques are used to reconstruct the electron and photon signals in the detector and to optimize the energy resolution. Events with electrons and photons in the final state are used to measure the energy resolution and energy scale uncertainty in the recorded events. The measured energy resolution for electrons produced in Z boson decays in proton-proton collision data ranges from 2 to 5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material. The energy scale in the same range of energies is measured with an uncertainty smaller than 0.1 (0.3)% in the barrel (endcap) region in proton-proton collisions and better than 1(3)% in the barrel (endcap) region in heavy ion collisions. The timing resolution for electrons from Z boson decays with the full 2016-2018 proton-proton collision data set is measured to be 200 ps.Peer reviewe