38 research outputs found
On the radial linear stability of nonrelativistic -boson stars
We study the linear stability of nonrelativistic -boson stars,
describing static, spherically symmetric configurations of the
Schr\"odinger-Poisson system with multiple wave functions having the same value
of the angular momentum . In this work we restrict our analysis to
time-dependent perturbations of the radial profiles of the wave
functions, keeping their angular dependency fixed. Based on a combination of
analytic and numerical methods, we find that for each , the ground state
is linearly stable, whereas the 'th excited states possess unstable
(exponentially in time growing) modes. Our results also indicate that all
excited states correspond to saddle points of the conserved energy functional
of the theory.Comment: 21+1 pages, 7 figures, 5 table
Are nonrelativistic ground state -boson stars only stable for and ?
In previous work we analyzed the linear stability of non-relativistic
-boson stars with respect to radial modes and showed that ground state
configurations are stable with respect to these modes, whereas excited states
are unstable. In this work we extend the analysis to non-spherical linear mode
perturbations. To this purpose, we expand the wave function in terms of tensor
spherical harmonics which allows us to decouple the perturbation equations into
a family of radial problems. By using a combination of analytic and numerical
methods, we show that ground state configurations with possess
exponentially in time growing non-radial modes, whereas only oscillating modes
are found for and . This leads us to conjecture that
nonrelativistic -boson stars in their ground state are stable for
as well as , while ground state and excited configurations
with are unstable.Comment: 21 pages, 5 figures, 2 table
Light bending near non-asymptotically flat black holes
The gravitational deflection of light is a crucial test for modified gravity.
A few years ago, Gibbons and Werner introduced a definition of the deflection
angle based on the Gauss-Bonnet theorem. A related idea was proposed by Arakida
for defining the deflection angle in non-asymptotically flat spacetimes We
revisit this idea in the Kottler geometry and in a non-asymptotically flat
solution to Horndeski gravity. Our analytic and numerical calculations show
that a triangular array of laser beams can be designed so that the proposed
definition of deflection angle is sensitive to a cosmological constant, whose
contribution is amplified by the black hole mass. Moreover, we find that near
the photon sphere, the deflection angle in the Horndeski solution is similar to
its Schwarzschild counterpart, and we confirm that the shadows seen by a static
observer would be identical. Our results offer insights that could be useful
for designing future theoretical or experimental investigations aimed to detect
sources of curvature in the universe.Comment: 32+1 pages, 6 figures, 2 table
Strong lensing by DHOST black holes
The deflection of light in the strong field limit is an important test for
alternative theories of gravity. However, solutions for the metric that allow for analytic
computations are not always available. We implement a hybrid analytic-numerical
approximation to determine the deflection angle in static, spherically symmetric
spacetimes. We apply this to a set of numerical black hole solutions within the class
of theories known as Degenerate Higher Order Scalar-tensor Theories. Comparing
our results to a more time consuming full numerical integration, we find that we can
accurately describe the deflection angle for light rays passing at arbitrary distances
from the photon sphere with a combination of two analytic-numerical approximations.
Furthermore, we find a range of parameters where our DHOST black holes predict
strong lensing effects whose size is comparable with the uncertainty in the properties of
the supermassive black hole in M87 reported by the Event Horizon Telescope, showing
that strong lensing is a viable alternative to put constraints on these models
Prevalence of anti-sperm antibodies, risk factors associated and their impact on spermatobioscopy in infertile men
Background: The first immunological correlation with male infertility was reported in 1954 by Wilson and Rumke with the identification of anti-sperm antibodies. The prevalence of anti-sperm antibodies in infertile men varies from 9%-36%, the main cause being the loss of the blood-testicular barrier and otherwise the association with chronic inflammation. It has been shown that immune infertility is found in 15% of patients with varicocele.Methods: A transversal comparative study was carried out with 360 infertile men who were tested for anti-sperm antibodies between January 2011 and July 2018. Two groups were integrated; Group 1, infertile men with positive anti-sperm antibodies >50%, group 2, infertile men with negative anti-sperm <50%. Seminogram parameters were evaluated according to the WHO 5th edition and associated risk factors with anti-sperm antibodies.Results: 360 infertile men were evaluated during the study, 42 were excluded because they did not meet the inclusion criteria, the prevalence of anti-sperm antibodies was 14.5%. Group 1; n=46 (14.5%) and group 2, n=272 (85.5%), the clinical characteristics and the hormonal profile were compared at study admission without significant difference. There was a significant decrease in progressive motility in group 1 (38.7±23.8) vs group 2 (50.1±18.9) p=0.03. Analyzing the risk factors, varicocele was found to be significant 23.7%, OR 2.14 (1.27-3.61) p=0.004 as well as retractable testicle 26.4%, OR 2.13 (1.23-3.70) p= 0.008.Conclusions: The affectation of motility was confirmed, which leads to the suspect varicocele and retractable testicle as risk factors
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Effect of extraction type on bioactive compounds and antioxidant activity of Moringa oleifera Lam. leaves
The objective of this study was to determine the extraction yield, the content of bioactive compounds and in vitro antioxidant activity of different extracts from Moringa oleifera (MO) leaves, and their potential use as a natural feed additive for ruminant diets. For the preparation of MO extracts, three treatments were used: (1) MO extract in distilled water (MOEW, 0%), (2) ethanol-water (MOEEW, 50%) and (3) absolute ethanol (MOEE, 100%). The extraction yield and the antioxidant activity measured with the DPPH assay in the MO extracts were higher for MOEW and MOEEW. From all treatments, MOEEW had the highest antioxidant activity evaluated with the ABTS assay and showed a higher content of bioactive compounds. On the other hand, the principal component analysis showed that the first two principal components explained 96.5% of the variability of the data. The variables that contributed to the greatest variation were condensed tannins (CT), total phenolic compounds (TPC), total flavonoids (TF), and extraction yield. A high correlation (p ≤ 0.001) was observed between TPC and extraction yield with r2 = 0.989. The content of bioactive compounds and antioxidant activity was higher in the MOEEW extract; therefore, its inclusion in ruminant diets can be suggested to potentially improve their productivity and product quality
MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal
Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio
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