2,680 research outputs found
Hidden source of high-energy neutrinos in collapsing galactic nucleus
We propose the model of a short-lived very powerful source of high energy
neutrinos. It is formed as a result of the dynamical evolution of a galactic
nucleus prior to its collapse into a massive black hole and formation of
high-luminosity AGN. This stage can be referred to as ``pre-AGN''. A dense
central stellar cluster in the galactic nucleus on the late stage of evolution
consists of compact stars (neutron stars and stellar mass black holes). This
cluster is sunk deep into massive gas envelope produced by destructive
collisions of a primary stellar population. Frequent collisions of neutron
stars in a central stellar cluster are accompanied by the generation of
ultrarelativistic fireballs and shock waves. These repeating fireballs result
in a formation of the expanding rarefied cavity inside the envelope. The
charged particles are effectively accelerated in the cavity and, due to
pp-collisions in the gas envelope, they produce high energy neutrinos. All high
energy particles, except neutrinos, are absorbed in the thick envelope.
Duration of this pre-AGN phase is about 10 yr, the number of the sources can be
\~ 10 per cosmological horizon. High energy neutrino signal can be detected by
underground neutrino telescope with effective area ~1 km^2.Comment: small changes, to be published in Astroparticle Physic
Swift J164449.3+573451 event: generation in the collapsing star cluster?
We discuss the multiband energy release in a model of a collapsing galactic
nucleus, and we try to interpret the unique super-long cosmic gamma-ray event
Swift J164449.3+573451 (GRB 110328A by early classification) in this scenario.
Neutron stars and stellar-mass black holes can form evolutionary a compact
self-gravitating subsystem in the galactic center. Collisions and merges of
these stellar remnants during an avalanche contraction and collapse of the
cluster core can produce powerful events in different bands due to several
mechanisms. Collisions of neutron stars and stellar-mass black holes can
generate gamma-ray bursts (GRBs) similar to the ordinary models of short GRB
origin. The bright peaks during the first two days may also be a consequence of
multiple matter supply (due to matter release in the collisions) and accretion
onto the forming supermassive black hole. Numerous smaller peaks and later
quasi-steady radiation can arise from gravitational lensing, late accretion of
gas onto the supermassive black hole, and from particle acceleration by shock
waves. Even if this model will not reproduce exactly all the Swift
J164449.3+573451 properties in future observations, such collapses of galactic
nuclei can be available for detection in other events.Comment: 7 pages, replaced by the final versio
Far-Term Exploration of Advanced Single-Aisle Subsonic Transport Aircraft Concepts
Far-term single-aisle class aircraft concepts for potential entry-into-service of 2045 were investigated using an Interactive Reconfigurable Matrix of Alternatives (IRMA) approach. The configurations identified through this design space exploration were then distilled into three advanced aircraft concepts best characterizing the prominent features identified through the IRMA exploration. These three aircraft concepts were then configured and sized for a 150-passenger capacity and a 3,500 nautical mile design mission. Mission block fuel burn was estimated and compared to a far-term conventional configuration baseline concept and a 2005 l. These comparisons suggest considerable potential improvements in fuel efficiency from the investigated advanced concepts
Inherited cataracts: molecular genetics, clinical features, disease mechanisms and novel therapeutic approaches
Cataract is the most common cause of blindness in the world; during infancy and early childhood, it frequently results in visual impairment. Congenital cataracts are phenotypically and genotypically heterogeneous and can occur in isolation or in association with other systemic disorders. Significant progress has been made in identifying the molecular genetic basis of cataract; 115 genes to date have been found to be associated with syndromic and non-syndromic cataract and 38 disease-causing genes have been identified to date to be associated with isolated cataract. In this review, we briefly discuss lens development and cataractogenesis, detail the variable cataract phenotypes and molecular mechanisms, including genotype-phenotype correlations, and explore future novel therapeutic avenues including cellular therapies and pharmacological treatments
Pathogenic variants in the CYP21A2 gene cause isolated autosomal dominant congenital posterior polar cataracts
Background:
Congenital cataracts are the most common cause of visual impairment worldwide. Inherited cataract is a clinically and genetically heterogeneous disease. Here we report disease-causing variants in a novel gene, CYP21A2, causing autosomal dominant posterior polar cataract. Variants in this gene are known to cause autosomal recessive congenital adrenal hyperplasia (CAH). /
Methods:
Using whole-exome sequencing (WES), we have identified disease-causing sequence variants in two families of British and Irish origin, and in two isolated cases of Asian-Indian and British origin. Bioinformatics analysis confirmed these variants as rare with damaging pathogenicity scores. Segregation was tested within the families using direct Sanger sequencing. /
Results:
A nonsense variant NM_000500.9 c.955 C > T; p.Q319* was identified in CYP21A2 in two families with posterior polar cataract and in an isolated case with unspecified congenital cataract phenotype. This is the same variant previously linked to CAH and identified as Q318* in the literature. We have also identified a rare missense variant NM_000500.9 c.770 T > C; p.M257T in an isolated case with unspecified congenital cataract phenotype. /
Conclusion:
This is the first report of separate sequence variants in CYP21A2 associated with congenital cataract. Our findings extend the genetic basis for congenital cataract and add to the phenotypic spectrum of CYP21A2 variants and particularly the CAH associated Q318* variant. CYP21A2 has a significant role in mineralo- and gluco-corticoid biosynthesis. These findings suggest that CYP21A2 may be important for extra-adrenal biosynthesis of aldosterone and cortisol in the eye lens
High-energy neutrinos as observational signature of massive black hole formation
We describe the formation of a seed massive black hole (MBH) inside a
supermassive star (SMS) in a distant galactic nucleus. The short-lived SMS is
naturally formed due to collision destructions of normal stars in the evolving
galactic nucleus. The neutron stars (NSs) and stellar-mass black holes form a
compact self-gravitating subsystem deep inside a SMS. This subsystem is
short-lived in comparison with a host SMS and collapses finally into the MBH.
Just before gravitational collapse of compact subsystem the frequent NS
collisions are accompanied by the generation of numerous ultra-relativistic
fireballs. A combined ram pressure of multiple coexisting fireballs produces a
quasi-stationary rarefied cavity in the central part of SMS. The protons are
accelerated in the fireballs and by relativistic shocks in the cavity. All
secondary particles, produced in collisions, except the high-energy neutrinos
are absorbed in the SMS interiors. An estimated high-energy neutrino signal
from this hidden source can be detected by the neutrino telescope with an
effective area 1 km^2 providing the evidence for MBH formation in a distant
galactic nucleus. A corresponding lifetime of this high-energy hidden neutrino
source is ~0.1-1 yr.Comment: 8 page
Determining appropriate approaches for using data in feature selection
Feature selection is increasingly important in data analysis and machine learning in big data era. However, how to use the data in feature selection, i.e. using either ALL or PART of a dataset, has become a serious and tricky issue. Whilst the conventional practice of using all the data in feature selection may lead to selection bias, using part of the data may, on the other hand, lead to underestimating the relevant features under some conditions. This paper investigates these two strategies systematically in terms of reliability and effectiveness, and then determines their suitability for datasets with different characteristics. The reliability is measured by the Average Tanimoto Index and the Inter-method Average Tanimoto Index, and the effectiveness is measured by the mean generalisation accuracy of classification. The computational experiments are carried out on ten real-world benchmark datasets and fourteen synthetic datasets. The synthetic datasets are generated with a pre-set number of relevant features and varied numbers of irrelevant features and instances, and added with different levels of noise. The results indicate that the PART approach is more effective in reducing the bias when the size of a dataset is small but starts to lose its advantage as the dataset size increases
Association of excessive precipitation and agricultural land use with honey bee colony performance
Context From landscape variables to weather, multiple environmental factors affect honey bees and other pollinators. Detailed honey bee colony assessments in a variety of landscape and weather conditions offer the opportunity to develop a mechanistic understanding of how landscape composition, configuration, and weather are associated with colony nutrition, demography, and productivity.
Objectives Our objective was to test if weather and landscape characteristics (e.g., agricultural versus forested land use) are associated with different honey bee colony outcomes (foraged nectar mass, foraged pollen mass, pupal population size, and adult population size change).
Methods We collected detailed colony measurements on over 450 honey bee colonies over four years across an agricultural-to-forested land use gradient in Michigan, USA.
Results We found that higher than normal precipitation in the preceding spring and fall was negatively correlated with colony size change and with foraged nectar mass, respectively. Sites surrounded by less agricultural land and more forested land also had fewer pupae by the end of summer.
Conclusions These inter-dependent colony metrics offer insights into environmental-plant-pollinator dynamics. Our finding that extreme weather events, associated with climate change, are negatively correlated with colony performance point to likely lagged effects of weather on pollinator floral resources. Landscapes managed with climate-resilient, temporally continuous floral resources are likely to support pollinators. Capturing extreme weather phenomena in field studies is a valuable way to investigate the associations between land use, climate change and biological systems. However, caution should be taken in overinterpreting observational studies, so further research is needed
Supernovae - Optical Precursors of Short Gamma-Ray Bursts
The probability of observing "supernova - gamma-ray burst" (GRB) pair events
and recurrent GRBs from one galaxy in a time interval of several years has been
estimated. Supernova explosions in binary systems accompanied by the formation
of a short-lived pair of compact objects can be the sources of such events. If
a short GRB is generated during the collision of a pair, then approximately
each of ~300 short GRBs with redshift z must have an optical precursor - a
supernova in the observer's time interval <2(1+z)yr. If the supernova explosion
has the pattern of a hypernova, then a successive observation of long and short
GRBs is possible. The scenario for the generation of multiple GRBs in
collapsing galactic nuclei is also discussed.Comment: 12 pages, 1 figure; this paper has the e-precursor arXiv:1101.3298
[astro-ph.HE
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