11,794 research outputs found
Orienting Graphs to Optimize Reachability
The paper focuses on two problems: (i) how to orient the edges of an
undirected graph in order to maximize the number of ordered vertex pairs (x,y)
such that there is a directed path from x to y, and (ii) how to orient the
edges so as to minimize the number of such pairs. The paper describes a
quadratic-time algorithm for the first problem, and a proof that the second
problem is NP-hard to approximate within some constant 1+epsilon > 1. The
latter proof also shows that the second problem is equivalent to
``comparability graph completion''; neither problem was previously known to be
NP-hard
Neutrino Oscillations as a Probe of Dark Energy
We consider a class of theories in which neutrino masses depend significantly
on environment, as a result of interactions with the dark sector. Such theories
of mass varying neutrinos (MaVaNs) were recently introduced to explain the
origin of the cosmological dark energy density and why its magnitude is
apparently coincidental with that of neutrino mass splittings. In this Letter
we argue that in such theories neutrinos can exhibit different masses in matter
and in vacuum, dramatically affecting neutrino oscillations. Both long and
short baseline experiments are essential to test for these interactions. As an
example of modifications to the standard picture, we consider simple models
which may simultaneously account for the LSND anomaly, KamLAND, K2K and studies
of solar and atmospheric neutrinos, while providing motivation to continue to
search for neutrino oscillations in short baseline experiments such as BooNE.Comment: 5 pages, 1 figure, refs added, additional data considered, minor
change in conclusions about LSN
Star Formation and AGN in the Core of the Shapley Supercluster: A VLA Survey of A3556, A3558, SC1327-312, SC1329-313, and A3562
The core of the Shapley supercluster (A3556, A3558, SC1327-312, SC1329-313,
and A3562) is an ideal region in which to study the effects of cluster mergers
on the activity of individual galaxies. This paper presents the most
comprehensive radio continuum investigation of the region, relying on a
63-pointing mosaic obtained with the Very Large Array yielding an areal
coverage of nearly 7 square degrees. The mosaic provides a typical sensitivity
of about 80 uJy at a resolution of 16", enabling detection of galaxies with
star formation rates as low as 1 solar mass per year. The radio data are
complemented by optical imaging in B and R, producing a catalog of 210
radio-detected galaxies with m_R <= 17.36 (M_R <= -19). At least 104 of these
radio-detected galaxies are members of the supercluster on the basis of public
velocity measurements. Across the entire core of the supercluster, there
appears to be a significant deficit of radio galaxies at intermediate optical
magnitudes (M_R between -21 and -22). This deficit is offset somewhat by an
increase in the frequency with which brighter galaxies (M_R less than -22) host
radio sources. More dramatic is the highly significant increase in the
probability for fainter galaxies (M_R between -20 and -21) in the vicinity of
A3562 and SC1329-313 to be associated with radio emission. The radio and
optical data for these sources strongly suggest that these active galaxies are
powered by star formation. In conjunction with recent X-ray analysis, this is
interpreted as young starbursts related to the recent merger of SC1329-313 with
A3562 and the rest of the supercluster.Comment: Accepted by AJ; 50 pages, including 16 figures (for full resolution
PDF, see http://mywebpages.comcast.net/nealamiller2/Shapley_pp.pdf
Spacelab 3 flight experiment No. 3AFT23: Autogenic-feedback training as a preventive method for space adaptation syndrome
Space adaptation syndrome is a motion sickness-like disorder which affects up to 50 percent of all people exposed to microgravity in space. This experiment tested a physiological conditioning procedure (Autogenic-Feedback Training, AFT) as an alternative to pharmacological management. Four astronauts participated as subjects in this experiment. Crewmembers A and B served as treatment subjects. Both received preflight training for control of heart rate, respiration rate, peripheral blood volume, and skin conductance. Crewmembers C and D served as controls (i.e., did not receive training). Crewmember A showed reliable control of his own physiological responses, and a significant increase in motion sickness tolerance after training. Crewmember B, however, demonstrated much less control and only a moderate increase in motion sickness tolerance was observed after training. The inflight symptom reports and physiological data recordings revealed that Crewmember A did not experience any severe symptom episodes during the mission, while Crewmember B reported one severe symptom episode. Both control group subjects, C and D (who took antimotion sickness medication), reported multiple symptom episodes on mission day 0. Both inflight data and crew reports indicate that AFT may be an effective countermeasure. Additional data must be obtained inflight (a total of eight treatment and eight control subjects) before final evaluation of this treatment can be made
Spectro-temporal and Type I X-ray burst analysis of GX 31 using AstroSat observations
GX 31, an atoll type neutron star low-mass X-ray binary, was observed four
times by Soft X-ray Telescope and The Large Area X-ray Proportional Counters
on-board \textit{AstroSat} between October 5, 2017 and August 9, 2018. The
hardness-intensity-diagram of the source showed it to be in the soft spectral
state during all the four observations. The spectra of the source could be
adequately fit with a model consisting of blackbody () and
power-law () components. This yielded the blackbody radius
and mass accretion rate to be 8 km and 2
M y, respectively. In one of the observations, a Type I X-ray
burst having a rise and e-folding time of 0.6 and 5.6 s, respectively, was
detected. Time-resolved spectral analysis of the burst showed that the source
underwent a photospheric radius expansion. The radius of the emitting blackbody
in GX 31 and its distance were estimated to be 9.19
km and 10.17 kpc,
respectively. Temporal analysis of the burst yielded upper limits of the
fractional RMS amplitude of 7, 5 and 6 during burst start, burst
maximum and right after the radius expansion phase, respectively
NuSTAR and AstroSat observations of GX 91: Spectral and temporal studies
We have studied the spectro-temporal properties of the neutron star low mass
X-ray binary GX 91 using data from \textit{NuSTAR/FPM} and
\textit{AstroSat/SXT} and \textit{LAXPC}. The hardness-intensity diagram of the
source showed it to be in the soft spectral state during both observations.
\textit{NuSTAR} spectral analysis yielded an inclination angle ()
29 and inner disk radius () 19.01 km.
Assuming that the accretion disk was truncated at the Alfv\'en radius during
the observation, the upper limit of the magnetic dipole moment () and the
magnetic field strength () at the poles of the neutron star in GX 91 were
calculated to be 1.45 G cm and 2.08 G,
respectively (for 1). Flux resolved spectral analysis with
\textit{AstroSat} data showed the source to be in the soft spectral state
(/ 0.9) with a monotonic increase in mass accretion
rate () along the banana branch. The analysis also showed the presence
of absorption edges at 1.9 and 2.4 keV, likely due to Si XIII and S
XV, respectively. Temporal analysis with \textit{LAXPC-20} data in the 0.02
100 Hz range revealed the presence of noise components, which could be
characterized with broad Lorentzian components
Inferring the Origin Locations of Tweets with Quantitative Confidence
Social Internet content plays an increasingly critical role in many domains,
including public health, disaster management, and politics. However, its
utility is limited by missing geographic information; for example, fewer than
1.6% of Twitter messages (tweets) contain a geotag. We propose a scalable,
content-based approach to estimate the location of tweets using a novel yet
simple variant of gaussian mixture models. Further, because real-world
applications depend on quantified uncertainty for such estimates, we propose
novel metrics of accuracy, precision, and calibration, and we evaluate our
approach accordingly. Experiments on 13 million global, comprehensively
multi-lingual tweets show that our approach yields reliable, well-calibrated
results competitive with previous computationally intensive methods. We also
show that a relatively small number of training data are required for good
estimates (roughly 30,000 tweets) and models are quite time-invariant
(effective on tweets many weeks newer than the training set). Finally, we show
that toponyms and languages with small geographic footprint provide the most
useful location signals.Comment: 14 pages, 6 figures. Version 2: Move mathematics to appendix, 2 new
references, various other presentation improvements. Version 3: Various
presentation improvements, accepted at ACM CSCW 201
Autogenic-feedback training: A preventive method for space adaptation syndrome
The progress made to date on the reduction of data for Spacelab 3 Shuttle experiment, No. 3AFT23 is reported. Four astronauts participated as subjects in this experiment. Crewmen A and B served as treatment subjects (i.e., received preflight training for control of their own motion sickness symptoms) and Crewmen C and D served as control (i.e., did not receive training). A preliminary evaluation of Autogenic Feedback Training (AFT) was made from visual inspections of graphs that were generated from the preflight and inflight and inflight physiological data which included: (1) Baseline rotating chair tests for all crewmen; (2) Posttraining rotating chair tests of treatment groups subjects; (3) Preflight data from Joint Integrated Simulations for all crewmen; and (4) Flight data for all crewmen during mission days 0 through 4, and mission day 6 for treatment subjects only. A summary of the findings suggested by these data is outlined
The effects on clinical trial activity of direct funding and taxation policy interventions made by government: A systematic review
Context Governments have attempted to increase clinical trial activity in their jurisdictions using a range of methods including targeted direct funding and industry tax rebates. The effectiveness of the different approaches employed is unclear. Objective To systematically review the effects of direct government financing interventions by allowing companies to reduce their tax payable on clinical trial activity. Data sources Pub Med, Scopus, Sage, ProQuest, Google Scholar and Google were searched up to the 11th of April 2022. In addition, the reference lists of all potentially eligible documents were hand searched to identify additional reports. Following feedback from co-authors, information on a small number of additional interventions were specifically sought out and included. Data extraction Summary information about potentially eligible reports were reviewed independently by two researchers, followed by extraction of data into a structured spreadsheet for eligible studies. The primary outcomes of interest were the number of clinical trials and the expenditure on clinical trials but data about other evaluations were also collected. Results There were 1694 potentially eligible reports that were reviewed. Full text assessments were done for 304, and 30 reports that provided data on 43 interventions were included- 29 that deployed targeted direct funding and 14 that provided tax rebates or exemptions. There were data describing effects on a primary outcome for 25/41 of the interventions. The most common types of interventions were direct funding to researchers via special granting mechanisms and tax offsets to companies and research organisations. All 25 of the studies for which data were available reported a positive impact on numbers and/or expenditure on clinical trials though the robustness of evaluations was limited for many. Estimates of the magnitude of effects of interventions were reported inconsistently, varied substantially, and could not be synthesised quantitatively, though targeted direct funding interventions appeared to be associated with more immediate impact on clinical trial activity. Conclusion There is a high likelihood that governments can increase clinical trial activity with either direct or indirect fiscal mechanisms. Direct funding may provide a more immediate and tangible return on investment than tax rebates
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