2,109 research outputs found
The Different Environmental Dependencies of Star-formation for Giant and Dwarf Galaxies
We examine the origins of the bimodality observed in the global properties of
galaxies around a stellar mass of 3x10^10 M_sun by comparing the environmental
dependencies of star-formation for the giant and dwarf galaxy populations. The
Sloan Digital Sky Survey DR4 spectroscopic dataset is used to produce a sample
of galaxies in the vicinity of the supercluster centered on the cluster A2199
at z=0.03 that is ~90% complete to a magnitude limit of M*+3.3. From these we
measure global trends with environment for both giant (M_r<-20 mag) and dwarf
(-19<M_r<-17.8 mag) subsamples using the luminosity-weighted mean stellar age
and H_alpha emission as independent measures of star-formation history. The
fraction of giant galaxies classed as old (t>7 Gyr) or passive (EW[H_alpha]<4
A) falls gradually from ~80% in the cluster cores to ~40% in field regions
beyond 3-4 R_virial, as found in previous studies. In contrast, we find that
the dwarf galaxy population shows a sharp transition at ~1 R_virial, from being
predominantly old/passive within the cluster, to outside where virtually all
galaxies are forming stars and old/passive galaxies are only found as
satellites to more massive galaxies. These results imply fundamental
differences in the evolution of giant and dwarf galaxies: whereas the
star-formation histories of giant galaxies are determined primarily by their
merger history, star-formation in dwarf galaxies is much more resilient to the
effects of major mergers. Instead dwarf galaxies become passive only once they
become satellites within a more massive halo, by losing their halo gas
reservoir to the host halo, or through other environment-related processes such
as galaxy harassment and/or ram-pressure stripping.Comment: 4 pages, 4 figures, accepted for publication in ApJ
Robotic Team High Reliability Organization’s Communication Evaluation Tool
Multidisciplinary team communication in robotic surgery presents several safety considerations for the intraoperative surgical patient. It is an important consideration since the surgeon and the operating room team are geographically distanced with the surgeon at the console, and the other team members situated at the patient bedside. Scrubbed team members are performing such functions as positioning the robotic arms as well as exchanging instruments, while the remaining interprofessional team members are coordinating multiple patient care activities. It therefore becomes imperative that the recognition of the potential for miscommunication is of paramount importance, and strategies need to be generated that will provide data to keep our patients safe. A Robotic Team High Reliability Organization’s Communication Evaluation Tool was formulated by incorporating a previously purchased High Reliability Organization’s (HRO) program at a North-East Level 1 Trauma Center in New Jersey and combining and implementing a previously valid reliable Interpersonal and Cognitive Assessment for Robotic Surgery or ICARS tool to construct a communication program that would improve the robotic team’s safety culture. The project population sample included 11 gynecologic surgical residents and 12 robotic staff team members consisting of 2 surgical technicians, 5 nurses and 5 Registered Nurse First Assistants (RNFA’s). Each participant provided demographic data via a questionnaire, a 15-question multiple choice pretest, observed and participated in an educational power point presentation, completed a posttest which consisted of the same 15 question pretest, and was evaluated by both the DNP student and surgeon who scored the participants on an ICARS tool Likert scale by recording 28 components of observational data from a provided scenario. A t-test was run for both residents and staff to document aggregate pre/posttest documentation indicating a statistically significant improvement in mean scores for both populations. Reliability statistics provided high Cronbach’s Alpha scores for the Pre/posttest tool, and a high interrater reliability between the DNP student and surgeon evaluator. Paired samples t-test for the ICARS aggregate were split for staff robotic cases to compare the DNP student or Principal Investigator (PI) and the Surgeon Co-Principal Investigator (Co PI). The staff t-test that was run on number of robotic cases which indicated that the number of robotic cases completed by the staff was statistically significant since all staff completed 21 or more cases. A split t-test on the ICARS for the residents for years in program and number of robotic cases revealed a statistically significant difference. This was run on year two residents only due to number of cases. Since ICARS staff evaluation was performed first on a Wednesday and the residents on Friday by PI and Co-PI, results indicated improved interrater reliability between the testing of staff and residents. Thematic analysis revealed themes related to interprofessional teamwork and communication, safety measures unique to robotic surgery, and the importance of an HRO program. Limitations of the study included sample size, use of a simulated operating room (OR) rather than live surgery, only gynecologic surgical residents, all of the robotic OR staff who had participated in the project had been involved in 21 or more robotic cases, as opposed to the residents who had a varied number of cases, SPSS only analyzing residents in year 2 of the program, and finally, in the ICARS observational evaluation, an anesthesia provider was not part of the team participating in the study. The findings of the project supported instituting a formalized program on robotic team communication utilizing this project since it’s statistically significant data, along with evidence-based practice supporting education, has provided proactive solutions to eliminating communication barriers leading to best practices
A Critical Analysis of Payload Anomaly-Based Intrusion Detection Systems
Examining payload content is an important aspect of network security, particularly in today\u27s volatile computing environment. An Intrusion Detection System (IDS) that simply analyzes packet header information cannot adequately secure a network from malicious attacks. The alternative is to perform deep-packet analysis using n-gram language parsing and neural network technology. Self Organizing Map (SOM), PAYL over Self-Organizing Maps for Intrusion Detection (POSEIDON), Anomalous Payload-based Network Intrusion Detection (PAYL), and Anagram are next-generation unsupervised payload anomaly-based IDSs. This study examines the efficacy of each system using the design-science research methodology. A collection of quantitative data and qualitative features exposes their strengths and weaknesses
Egg numbers and fecundity traits in nine species of Mantella poison frogs from arid grasslands and rainforests of Madagascar (Anura: Mantellidae)
The body size and number of eggs in dissected females were
analysed in nine species of the Malagasy frog genus Mantella
basing upon preserved specimens. These species were distinguished in terms of habitat and grouped as ‘grassland
species’ (included M. betsileo, M. expectata, M. viridis), and ‘rainforest species’ (M. baroni, M. crocea, M. cowani, M. laevigata, M. nigricans, M. pulchra). The species with the lowest egg - number was M. cowani with a mean egg number of 37 ± 15, while the species with the highest egg-number was M. viridis with 115 ± 21 eggs. In general, the grassland species are characterised by a higher number of relatively small eggs. Moreover, their fecundity was positively and significantly correlated to female body size. Rainforest species were smaller in size and with a lower number of eggs. We interpreted these differences as possible consequences of habitat adaptations. Among the studied species, the Critically Endangered Mantella cowani is also featured by a low number and large size of eggs. This is likely correlated with the high elevation site of the central highlands where this species occurs
beta-Cu2V2O7: a spin-1/2 honeycomb lattice system
We report on band structure calculations and a microscopic model of the
low-dimensional magnet beta-Cu2V2O7. Magnetic properties of this compound can
be described by a spin-1/2 anisotropic honeycomb lattice model with the
averaged coupling \bar J1=60-66 K. The low symmetry of the crystal structure
leads to two inequivalent couplings J1 and J1', but this weak spatial
anisotropy does not affect the essential physics of the honeycomb spin lattice.
The structural realization of the honeycomb lattice is highly non-trivial: the
leading interactions J1 and J1' run via double bridges of VO4 tetrahedra
between spatially separated Cu atoms, while the interactions between structural
nearest neighbors are negligible. The non-negligible inter-plane coupling
Jperp~15 K gives rise to the long-range magnetic ordering at TN~26 K. Our model
simulations improve the fit of the magnetic susceptibility data, compared to
the previously assumed spin-chain models. Additionally, the simulated ordering
temperature of 27 K is in remarkable agreement with the experiment. Our study
evaluates beta-Cu2V2O7 as the best available experimental realization of the
spin-1/2 Heisenberg model on the honeycomb lattice. We also provide an
instructive comparison of different band structure codes and computational
approaches to the evaluation of exchange couplings in magnetic insulators.Comment: 11 pages, 10 figures, 2 tables: revised version, extended description
of simulation result
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Neurosyphilis: Old Disease, New Implications for Emergency Physicians
Recent epidemiologic data demonstrate increasing rates of neurosyphilis, particularly among those in the community of men who have sex with men and those coinfected with the human immunodeficiency virus (HIV). Here we discuss a case of early neurosyphilis and new HIV diagnosis in a 27-year-old previously-healthy trans woman presenting for the second time with progressive, ascending weakness and cranial nerve VI palsy. Emergency physicians should consider this rare but highly morbid diagnosis, given the rising prevalence of neurosyphilis among at-risk patients and those with new neurologic deficits
Quantification of finite-temperature effects on adsorption geometries of -conjugated molecules
The adsorption structure of the molecular switch azobenzene on Ag(111) is
investigated by a combination of normal incidence x-ray standing waves and
dispersion-corrected density functional theory. The inclusion of non-local
collective substrate response (screening) in the dispersion correction improves
the description of dense monolayers of azobenzene, which exhibit a substantial
torsion of the molecule. Nevertheless, for a quantitative agreement with
experiment explicit consideration of the effect of vibrational mode
anharmonicity on the adsorption geometry is crucial.Comment: 12 pages, 3 figure
Discovery of a faint, star-forming, multiply lensed, Lyman-alpha blob
We report the discovery of a multiply lensed Lyman- blob (LAB) behind
the galaxy cluster AS1063 using the Multi Unit Spectroscopic Explorer (MUSE) on
the Very Large Telescope (VLT). The background source is at 3.117 and is
intrinsically faint compared to almost all previously reported LABs. We used
our highly precise strong lensing model to reconstruct the source properties,
and we find an intrinsic luminosity of =
erg s, extending to 33 kpc. We find that the LAB is associated with a
group of galaxies, and possibly a protocluster, in agreement with previous
studies that find LABs in overdensities. In addition to Lyman-
(Ly) emission, we find \ion{C}{IV}, \ion{He}{II}, and \ion{O}{III}]
ultraviolet (UV) emission lines arising from the centre of the nebula. We used
the compactness of these lines in combination with the line ratios to conclude
that the \Lya nebula is likely powered by embedded star formation. Resonant
scattering of the \Lya photons then produces the extended shape of the
emission. Thanks to the combined power of MUSE and strong gravitational
lensing, we are now able to probe the circumgalatic medium of sub-
galaxies at .Comment: 7 pages, 7 figures; moderate changes to match the accepted A&A
versoi
Evolution of UV -- NIR Structural Properties of Cluster Galaxies
Structural parameters (half light radius r_e, mean surface brightness _e and Sersic index n) are derived for the galaxy cluster A 209, at z = 0.21, in UV and optical restframe, and for the cluster EIS 0048, at z = 0.64, in UV, optical and NIR restframe. This data set, together with previous optical and NIR measurements for the cluster AC 118 at z=0.31}, constitutes the first large sample (N~250) of cluster galaxies whose UV - NIR structure can be investigated up to a look-back time of ~6 Gyr (Omega_m=0.3, Omega_L=0.7 and H_0=70 Km/s/Mpc). The analysis is performed (1) by direct comparison of log r_e, and log n, in UV-OPT and OPT-NIR, and (2) by using the structural parameters to estimate UV-OPT and OPT-NIR internal colour gradients of galaxies. We classify the galaxies as spheroids or disks according to the shape of the optical light profile of galaxies, and investigate separately the evolution in the properties of both populations. On the average, we find that the bulk of spheroids and disks are more concentrated at longer wavelengths, having Delta(log r_e) > 0, and Delta(log n) < 0. The mean value of Delta(log n) in OPT-NIR seems to be the quantity more dependent on z, in the sense that it decreases at higher redshift. In particular, we find a strong decrease in the ratio of OPT to NIR Sersic indices for the disks at z~0.64. By comparing the estimated colour gradients (grad(UV-OPT) and grad(OPT-NIR)) with age and metallicity models, we find that, for the spheroids, both grad(UV-OPT) and grad(OPT-NIR) are weakly dependent on the redshift, confirming that metallicity is the primary effect to drive the gradients. For the disks, metallicity is not able at all to describe the observed range of colour gradients. Age or age+metallicity are responsible for the radial colour distribution of disk dominated galaxies
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