2,011 research outputs found
GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy
Online adaptive radiation therapy (ART) has great promise to significantly
reduce normal tissue toxicity and/or improve tumor control through real-time
treatment adaptations based on the current patient anatomy. However, the major
technical obstacle for clinical realization of online ART, namely the inability
to achieve real-time efficiency in treatment re-planning, has yet to be solved.
To overcome this challenge, this paper presents our work on the implementation
of an intensity modulated radiation therapy (IMRT) direct aperture optimization
(DAO) algorithm on graphics processing unit (GPU) based on our previous work on
CPU. We formulate the DAO problem as a large-scale convex programming problem,
and use an exact method called column generation approach to deal with its
extremely large dimensionality on GPU. Five 9-field prostate and five 5-field
head-and-neck IMRT clinical cases with 5\times5 mm2 beamlet size and
2.5\times2.5\times2.5 mm3 voxel size were used to evaluate our algorithm on
GPU. It takes only 0.7~2.5 seconds for our implementation to generate optimal
treatment plans using 50 MLC apertures on an NVIDIA Tesla C1060 GPU card. Our
work has therefore solved a major problem in developing ultra-fast
(re-)planning technologies for online ART
Shorter gate sequences for quantum computing by mixing unitaries
Fault-tolerant quantum computers compose elements of a discrete gate set in order to approximate a target unitary. The problem of minimizing the number of gates is known as gate synthesis. The approximation error is a form of coherent noise, which can be significantly more damaging than comparable incoherent noise. We show how mixing over different gate sequences can convert this coherent noise into an incoherent form. As measured by diamond distance, the postmixing noise is quadratically smaller than before mixing, without increasing resource cost upper bounds. Equivalently, we can look for shorter gate sequences that achieve the same precision as unitary gate synthesis. For a broad class of problems this gives a factor 1/2reduction in worst-case resource costs
The effects of LIGO detector noise on a 15-dimensional Markov-chain Monte-Carlo analysis of gravitational-wave signals
Gravitational-wave signals from inspirals of binary compact objects (black
holes and neutron stars) are primary targets of the ongoing searches by
ground-based gravitational-wave (GW) interferometers (LIGO, Virgo, and
GEO-600). We present parameter-estimation results from our Markov-chain
Monte-Carlo code SPINspiral on signals from binaries with precessing spins. Two
data sets are created by injecting simulated GW signals into either synthetic
Gaussian noise or into LIGO detector data. We compute the 15-dimensional
probability-density functions (PDFs) for both data sets, as well as for a data
set containing LIGO data with a known, loud artefact ("glitch"). We show that
the analysis of the signal in detector noise yields accuracies similar to those
obtained using simulated Gaussian noise. We also find that while the Markov
chains from the glitch do not converge, the PDFs would look consistent with a
GW signal present in the data. While our parameter-estimation results are
encouraging, further investigations into how to differentiate an actual GW
signal from noise are necessary.Comment: 11 pages, 2 figures, NRDA09 proceeding
Soluble AXL is a novel blood marker for early detection of pancreatic ductal adenocarcinoma and differential diagnosis from chronic pancreatitis
Background: Early diagnosis is crucial for patients with pancreatic ductal adenocarcinoma (PDAC). The AXL receptor tyrosine kinase is proteolytically processed releasing a soluble form (sAXL) into the blood stream. Here we explore the use of sAXL as a biomarker for PDAC. Methods: AXL was analysed by immunohistochemistry in human pancreatic tissue samples. RNA expression analysis was performed using TCGA/GTEx databases. The plasma concentrations of sAXL, its ligand GAS6, and CA19-9 were studied in two independent cohorts, the HMar cohort (n = 59) and the HClinic cohort (n = 142), including healthy controls, chronic pancreatitis (CP) or PDAC patients, and in a familial PDAC cohort (n = 68). AXL expression and sAXL release were studied in PDAC cell lines and murine models. Findings: AXL is increased in PDAC and precursor lesions as compared to CP or controls. sAXL determined in plasma from two independent cohorts was significantly increased in the PDAC group as compared to healthy controls or CP patients. Patients with high levels of AXL have a lower overall survival. ROC analysis of the plasma levels of sAXL, GAS6, or CA19-9 in our cohorts revealed that sAXL outperformed CA19-9 for discriminating between CP and PDAC. Using both sAXL and CA19-9 increased the diagnostic value. These results were validated in murine models, showing increased sAXL specifically in animals developing PDAC but not those with precursor lesions or acinar tumours. Interpretation: sAXL appears as a biomarker for early detection of PDAC and PDAC–CP discrimination that could accelerate treatment and improve its dismal prognosis. Funding: This work was supported by grants PI20/00625 (PN), RTI2018-095672-B-I00 (AM and PGF), PI20/01696 (MG) and PI18/01034 (AC) from MICINN-FEDER and grant 2017/SGR/225 (PN) from Generalitat de Catalunya. © 2021 The Author(s
Anthromes dispaying evidence of weekly cycles in active fire data cover 70% of the global land surface
Across the globe, human activities have been gaining importance relatively to climate and ecology as
the main controls on fire regimes and consequently human activity became an important driver of the
frequency, extent and intensity of vegetation burning worldwide. Our objective in the present study
is to look for weekly cycles in vegetation fire activity at global scale as evidence of human agency,
relying on the original MODIS active fire detections at 1 km spatial resolution (MCD14ML) and using
novel statistical methodologies to detect significant periodicities in time series data. We tested the
hypotheses that global fire activity displays weekly cycles and that the weekday with the fewest fires
is Sunday. We also assessed the effect of land use and land cover on weekly fire cycle significance
by testing those hypotheses separately for the Villages, Settlements, Croplands, Rangelands,
Seminatural, and Wildlands anthromes. Based on a preliminary data analysis of the daily global active
fire counts periodogram, we developed an harmonic regression model for the mean function of daily
fire activity and assumed a linear model for the de-seasonalized time series. For inference purposes,
we used a Bayesian methodology and constructed a simultaneous 95% credible band for the mean
function. The hypothesis of a Sunday weekly minimum was directly investigated by computing the
probabilities that the mean functions of every weekday (Monday to Saturday) are inside the credible
band corresponding to mean Sunday fire activity. Since these probabilities are small, there is statistical
evidence of significantly fewer fires on Sunday than on the other days of the week. Cropland, rangeland,
and seminatural anthromes, which cover 70% of the global land area and account for 94% of the active
fires analysed, display weekly cycles in fire activity. Due to lower land management intensity and less
strict control over fire size and duration, weekly cycles in Rangelands and Seminatural anthromes,
which jointly account for 53.46% of all fires, although statistically significant are weaker than those
detected in Croplandsinfo:eu-repo/semantics/publishedVersio
Characterization of humoral and SARS-CoV-2 specific T cell responses in people living with HIV
There is an urgent need to understand the nature of immune responses against SARS-CoV-2, to inform risk-mitigation strategies for people living with HIV (PLWH). Here we show that the majority of PLWH with ART suppressed HIV viral load, mount a detectable adaptive immune response to SARS-CoV-2. Humoral and SARS-CoV-2-specific T cell responses are comparable between HIV-positive and negative subjects and persist 5-7 months following predominately mild COVID-19 disease. T cell responses against Spike, Membrane and Nucleoprotein are the most prominent, with SARS-CoV-2-specific CD4 T cells outnumbering CD8 T cells. We further show that the overall magnitude of SARS-CoV-2-specific T cell responses relates to the size of the naive CD4 T cell pool and the CD4:CD8 ratio in PLWH. These findings suggest that inadequate immune reconstitution on ART, could hinder immune responses to SARS-CoV-2 with implications for the individual management and vaccine effectiveness in PLWH
Constraints on Neutrino Oscillations Using 1258 Days of Super-Kamiokande Solar Neutrino Data
We report the result of a search for neutrino oscillations using precise
measurements of the recoil electron energy spectrum and zenith angle variations
of the solar neutrino flux from 1258 days of neutrino-electron scattering data
in Super-Kamiokande. The absence of significant zenith angle variation and
spectrum distortion places strong constraints on neutrino mixing and mass
difference in a flux-independent way. Using the Super-Kamiokande flux
measurement in addition, two allowed regions at large mixing are found.Comment: 6 pages, 4 figures, submitted to PR
Solar 8B and hep Neutrino Measurements from 1258 Days of Super-Kamiokande Data
Solar neutrino measurements from 1258 days of data from the Super-Kamiokande
detector are presented. The measurements are based on recoil electrons in the
energy range 5.0-20.0MeV. The measured solar neutrino flux is 2.32 +-
0.03(stat.) +0.08-0.07(sys.)*10^6cm^{-2}s^{-1}, which is
45.1+-0.5(stat.)+1.6-1.4(sys.)% of that predicted by the BP2000 SSM. The day vs
night flux asymmetry is 0.033+-0.022(stat.)+0.013-0.012(sys.). The recoil
electron energy spectrum is consistent with no spectral distortion
(\chi^2/d.o.f. = 19.0/18). The seasonal variation of the flux is consistent
with that expected from the eccentricity of the Earth's orbit (\chi^2/d.o.f. =
3.7/7). For the hep neutrino flux, we set a 90% C.L. upper limit of 40
*10^3cm^{-2}s^{-1}, which is 4.3 times the BP2000 SSM prediction.Comment: 7 pages, 5 figures, submitted to PRL (part of this paper
- …