213 research outputs found
Coronal Diagnostics from Narrowband Images around 30.4 nm
Images taken in the band centered at 30.4 nm are routinely used to map the
radiance of the He II Ly alpha line on the solar disk. That line is one of the
strongest, if not the strongest, line in the EUV observed in the solar
spectrum, and one of the few lines in that wavelength range providing
information on the upper chromosphere or lower transition region. However, when
observing the off-limb corona the contribution from the nearby Si XI 30.3 nm
line can become significant. In this work we aim at estimating the relative
contribution of those two lines in the solar corona around the minimum of solar
activity. We combine measurements from CDS taken in August 2008 with
temperature and density profiles from semiempirical models of the corona to
compute the radiances of the two lines, and of other representative coronal
lines (e.g., Mg X 62.5 nm, Si XII 52.1 nm). Considering both diagnosed
quantities from line ratios (temperatures and densities) and line radiances in
absolute units, we obtain a good overall match between observations and models.
We find that the Si XI line dominates the He II line from just above the limb
up to ~2 R_Sun in streamers, while its contribution to narrowband imaging in
the 30.4 nm band is expected to become smaller, even negligible in the corona
beyond ~2 - 3 R_Sun, the precise value being strongly dependent on the coronal
temperature profile.Comment: 26 pages, 11 figures; to be published in: Solar Physic
Theoretical and technological building blocks for an innovation accelerator
The scientific system that we use today was devised centuries ago and is
inadequate for our current ICT-based society: the peer review system encourages
conservatism, journal publications are monolithic and slow, data is often not
available to other scientists, and the independent validation of results is
limited. Building on the Innovation Accelerator paper by Helbing and Balietti
(2011) this paper takes the initial global vision and reviews the theoretical
and technological building blocks that can be used for implementing an
innovation (in first place: science) accelerator platform driven by
re-imagining the science system. The envisioned platform would rest on four
pillars: (i) Redesign the incentive scheme to reduce behavior such as
conservatism, herding and hyping; (ii) Advance scientific publications by
breaking up the monolithic paper unit and introducing other building blocks
such as data, tools, experiment workflows, resources; (iii) Use machine
readable semantics for publications, debate structures, provenance etc. in
order to include the computer as a partner in the scientific process, and (iv)
Build an online platform for collaboration, including a network of trust and
reputation among the different types of stakeholders in the scientific system:
scientists, educators, funding agencies, policy makers, students and industrial
innovators among others. Any such improvements to the scientific system must
support the entire scientific process (unlike current tools that chop up the
scientific process into disconnected pieces), must facilitate and encourage
collaboration and interdisciplinarity (again unlike current tools), must
facilitate the inclusion of intelligent computing in the scientific process,
must facilitate not only the core scientific process, but also accommodate
other stakeholders such science policy makers, industrial innovators, and the
general public
Supplementation of dairy cows with propylene glycol during the periparturient period: effects on body condition score, milk yield, first estrus post-partum, beta-hydroxybutyrate, non-esterified fatty acids and glucose concentrations
Aplicação do conceito do Ãndice padronizado de precipitação à série decendial da diferença entre precipitação pluvial e evapotranspiração potencial
Observation of Events with an Energetic Forward Neutron in Deep Inelastic Scattering at HERA
In deep inelastic neutral current scattering of positrons and protons at the center of mass energy of 300 GeV, we observe, with the ZEUS detector, events with a high energy neutron produced at very small scattering angles with respect to the proton direction. The events constitute a fixed fraction of the deep inelastic, neutral current event sample independent of Bjorken x and Q2 in the range 3 · 10-4 \u3c xBJ \u3c 6 · 10-3 and 10 \u3c Q2 \u3c 100 GeV2
Cardiovascular responses to microinjections of GABA or anesthetics into the rostral ventrolateral medulla of conscious and anesthetized rats
A model for drug dispensing service based on the care process in the Brazilian health system
Whole-genome sequencing reveals host factors underlying critical COVID-19
Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease
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