Reflexões sobre o sistema punitivo brasileiro: prisão, direito à não-autoincriminação e presunção de inocência

O objetivo do artigo é explorar o funcionamento do sistema penal brasileiro, apresentando críticas e possíveis pontos de aprimoramento. Ao longo do texto, os autores tratam de medidas voltadas a evitar a incidência do direito penal, dos desequilíbrios punitivos e das consequências da corrupção crônica. Também examinam direitos e garantias penais previstos na Constituição de 1988, assim como na jurisprudência do STF, percorrendo: as distintas modalidades de prisão, o direito à não autoincriminação e à presunção de inocência. Em conclusão, afirmam a ineficiência do sistema penal brasileiro, por ser incapaz de prevenir, de ressocializar, de retribuir adequadamente. E defendem a necessária renovação da política criminal brasileira, a partir de um esforço conjunto dos Poderes Legislativo, Executivo e Judiciário, de modo a alcançar um direito penal subsidiário, moderado, republicano e eficiente

Operational Performance of an AnaerobicAnoxic-Aerobic Treatment System

Um sistema anaeróbio (UASB) - híbrido aeróbio (lodo ativado com biomassa suspensa e aderidaligado) foi avaliado na remoção de matéria orgânica, sólidos e nitrogênio após sua fase pré-operacional. As análises foram feitas semanalmente com base em amostras compostas, preparadas por amostras individuais coletadas a cada quatro horas, durante o ciclo de 24 horas, ponderadas pela vazão, em cada ponto de monitoramento (esgoto bruto, UASB, câmara anóxica, reatores aeróbios, linha de recirculação de lodo decantadores secundários e efluente final). A ETE apresentou uma vazão média de 908 m3/h com picos entre 10 e 14 h. A DBO foi removida em 86 % (310 para 41 mg/L), sendo a maior parcela nos reatores UASB (70 %) e a remoção de sólidos suspensos totais atingiu 63 % (190 a 94 mg/L). A remoção média de TKN (71 %) e Amônia (77 %) foi superior ao valor predito pelo projeto e, provavelmente, o processo de nitrificação-desnitrificação não foi a rota dominante.An anaerobic (UASB) – hybrid aerobic (suspended and attached growth activated sludge) wastewater treatment system was evaluated on the removal of organic matter, solids and nitrogen following its pre-operational phase. Analysis were made weekly based on composite samples, prepared by grab samples taken every four hours, during 24-hour cycle, weighted by flow rate, on each monitoring point (raw sewage, UASB, anoxic chamber, aerobic reactors, return sludge from secondary decanters and final effluent). The plant presented an average flow rate of 908 m3/h with peaks from 10 to 14 h. BOD was removed by 86 % (310 to 41 mg/L) being the highest parcel accounted by UASB reactors (70 %) and removal of total suspended solids reached 63 % (190 to 94 mg/L). Mean removals of TKN (71 %) and Ammonium (77 %) were above the value predicted by design and, probably the nitrification-denitrification process was not the dominant route

Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data

Tropical savanna ecosystems play a major role in the seasonality of the global carbon cycle. However, their ability to store and sequester carbon is uncertain due to combined and intermingling effects of anthropogenic activities and climate change, which impact wildfire regimes and vegetation dynamics. Accurate measurements of tropical savanna vegetation aboveground biomass (AGB) over broad spatial scales are crucial to achieve effective carbon emission mitigation strategies. UAV-lidar is a new remote sensing technology that can enable rapid 3-D mapping of structure and related AGB in tropical savanna ecosystems. This study aimed to assess the capability of high-density UAV-lidar to estimate and map total (tree, shrubs, and surface layers) aboveground biomass density (AGBt) in the Brazilian Savanna (Cerrado). Five ordinary least square regression models esti-mating AGBt were adjusted using 50 field sample plots (30 m × 30 m). The best model was selected under Akaike Information Criterion, adjusted coefficient of determination (adj.R2), absolute and relative root mean square error (RMSE), and used to map AGBt from UAV-lidar data collected over 1,854 ha spanning the three major vegetation formations (forest, savanna, and grassland) in Cerrado. The model using vegetation height and cover was the most effective, with an overall model adj-R2 of 0.79 and a leave-one-out cross-validated RMSE of 19.11 Mg/ha (33.40%). The uncertainty and errors of our estimations were assessed for each vegetation formation separately, resulting in RMSEs of 27.08 Mg/ha (25.99%) for forests, 17.76 Mg/ha (43.96%) for savannas, and 7.72 Mg/ha (44.92%) for grasslands. These results prove the feasibility and potential of the UAV-lidar technology in Cerrado but also emphasize the need for further developing the estimation of biomass in grasslands, of high importance in the characterization of the global carbon balance and for supporting integrated fire management activities in tropical savanna ecosystems. Our results serve as a benchmark for future studies aiming to generate accurate biomass maps and provide baseline data for efficient management of fire and predicted climate change impacts on tropical savanna ecosystems

Consultas neurológicas e diagnósticos em um grande hospital universitário dedicado a COVID-19

Background: More than one-third of COVID-19 patients present neurological symptomsranging from anosmia to stroke and encephalopathy. Furthermore, pre-existingneurological conditions may require special treatment and may be associated with worseoutcomes. Notwithstanding, the role of neurologists in COVID-19 is probablyunderrecognized. Objective: The aim of this study was to report the reasons forrequesting neurological consultations by internists and intensivists in a COVID-19-dedicated hospital. Methods: This retrospective study was carried out at Hospital dasClínicas da Faculdade de Medicina da Universidade de São Paulo, Brazil, a 900-bedCOVID-19 dedicated center (including 300 intensive care unit beds). COVID-19 diagnosiswas confirmed by SARS-CoV-2-RT-PCR in nasal swabs. All inpatient neurologyconsultations between March 23rd and May 23rd, 2020 were analyzed. Neurologistsperformed the neurological exam, assessed all available data to diagnose theneurological condition, and requested additional tests deemed necessary. Difficultdiagnoses were established in consensus meetings. After diagnosis, neurologists wereinvolved in the treatment. Results: Neurological consultations were requested for 89 outof 1,208 (7.4%) inpatient COVID admissions during that period. Main neurologicaldiagnoses included: encephalopathy (44.4%), stroke (16.7%), previous neurologicaldiseases (9.0%), seizures (9.0%), neuromuscular disorders (5.6%), other acute brainlesions (3.4%), and other mild nonspecific symptoms (11.2%). Conclusions: Mostneurological consultations in a COVID-19-dedicated hospital were requested for severeconditions that could have an impact on the outcome. First-line doctors should be able torecognize neurological symptoms; neurologists are important members of the medicalteam in COVID-19 hospital care.Introdução: Mais de um terço dos pacientes com COVID-19 apresentam sintomasneurológicos que variam de anosmia a AVC e encefalopatia. Além disso, doençasneurológicas prévias podem exigir tratamento especial e estar associadas a pioresdesfechos. Não obstante, o papel dos neurologistas na COVID-19 é provavelmentepouco reconhecido. Objetivo: O objetivo deste estudo foi relatar os motivos para solicitarconsultas neurológicas por clínicos e intensivistas em um hospital dedicado à COVID-19. Métodos: Estudo retrospectivo realizado no Hospital das Clínicas da Faculdade deMedicina da Universidade de São Paulo, Brasil, um centro dedicado à COVID-19 com900 leitos (incluindo 300 leitos para unidades de terapia intensiva). O diagnóstico deCOVID-19 foi confirmado por SARS-CoV-2-RT-PCR em swabs nasais. Todas asinterconsultas de neurologia hospitalar entre 23 de março e 23 de maio de 2020 foramanalisadas. Os neurologistas realizaram o exame neurológico, avaliaram todos os dadosdisponíveis para diagnosticar a patologia neurológica e solicitaram exames adicionaisconforme necessidade. Diagnósticos difíceis foram estabelecidos em reuniões deconsenso. Após o diagnóstico, os neurologistas participaram da condução dos casos.Resultados: Foram solicitadas consultas neurológicas para 89 de 1.208 (7,4%) empacientes internados por COVID-19 durante o período. Os principais diagnósticosneurológicos incluíram: encefalopatia (44,4%), acidente vascular cerebral (16,7%),doenças neurológicas prévias (9,0%), crises epilépticas (9,0%), transtornosneuromusculares (5,6%), outras lesões encefálicas agudas (3,4%) e outros sintomasleves inespecíficos (11,2%). Conclusões: A maioria das consultas neurológicas em umhospital dedicado à COVID-19 foi solicitada para condições graves que poderiam afetaro desfecho clínico. Os médicos na linha de frente devem ser capazes de reconhecersintomas neurológicos. Os neurologistas são membros importantes da equipe médica noatendimento hospitalar à COVID-19

A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area

Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of “Parque Nacional do Caparaó” (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states

Particle-flow reconstruction and global event description with the CMS detector

The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic tau decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8 TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions

Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated $\mathrm{t}\overline{\mathrm{t}}$ events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV)

Search for heavy resonances decaying to a top quark and a bottom quark in the lepton+jets final state in proton–proton collisions at 13 TeV

info:eu-repo/semantics/publishe

Evidence for the Higgs boson decay to a bottom quark–antiquark pair

info:eu-repo/semantics/publishe