1,055 research outputs found
A Color Mutation Model of Soft Interaction in High Energy Hadronic Collisions
A comprehensive model, called ECOMB, is proposed to describe multiparticle
production by soft interaction. It incorporates the eikonal formalism, parton
model, color mutation, branching and recombination. The physics is conceptually
opposite to the dynamics that underlies the fragmentation of a string. The
partons are present initially in a hadronic collision; they form a single,
large, color-neutral cluster until color mutation of the quarks leads to a
fission of the cluster into two color-neutral subclusters. The mutation and
branching processes continue until only pairs are left in each small
cluster. The model contains self-similar dynamics and exhibits scaling behavior
in the factorial moments. It can satisfactorily reproduce the intermittency
data that no other model has been able to fit.Comment: 24 pages including 11 figures in revtex epsf styl
Robust avoidance of edge-localized modes alongside gradient formation in the negative triangularity tokamak edge
In a series of high performance diverted discharges on DIII-D, we demonstrate
that strong negative triangularity (NT) shaping robustly suppresses all
edge-localized mode (ELM) activity over a wide range of plasma conditions:
m, MW and
T, corresponding to
. The full dataset is consistent with the
theoretical prediction that magnetic shear in the NT edge inhibits access to
ELMing H-mode regimes; all experimental pressure profiles are found to be at or
below the infinite- ballooning stability limit. Importantly, we also report
enhanced edge pressure gradients at strong NT that are significantly steeper
than in traditional ELM-free L-mode plasmas and provide significant promise for
NT reactor integration.Comment: 5 pages, 5 figure
Seizure Detection, Seizure Prediction, and Closed-Loop Warning Systems in Epilepsy
Nearly one-third of patients with epilepsy continue to have seizures despite optimal medication management. Systems employed to detect seizures may have the potential to improve outcomes in these patients by allowing more tailored therapies and might, additionally, have a role in accident and SUDEP prevention. Automated seizure detection and prediction require algorithms which employ feature computation and subsequent classification. Over the last few decades, methods have been developed to detect seizures utilizing scalp and intracranial EEG, electrocardiography, accelerometry and motion sensors, electrodermal activity, and audio/video captures. To date, it is unclear which combination of detection technologies yields the best results, and approaches may ultimately need to be individualized. This review presents an overview of seizure detection and related prediction methods and discusses their potential uses in closed-loop warning systems in epilepsy
W+jets Matrix Elements and the Dipole Cascade
We extend the algorithm for matching fixed-order tree-level matrix element
generators with the Dipole Cascade Model in Ariadne to apply to processes with
incoming hadrons. We test the algoritm on for the process W+n jets at the
Tevatron, and find that the results are fairly insensitive to the cutoff used
to regularize the soft and collinear divergencies in the tree-level matrix
elements. We also investigate a few observables to check the sensitivity to the
matrix element correction
High-content screen in human pluripotent cells identifies miRNA-regulated pathways controlling pluripotency and differentiation
Background: By post-transcriptionally regulating multiple target transcripts, microRNAs (miRNAs or miR) play important biological functions. H1 embryonic stem cells (hESCs) and NTera-2 embryonal carcinoma cells (ECCs) are two of the most widely used human pluripotent model cell lines, sharing several characteristics, including the expression of miRNAs associated to the pluripotent state or with differentiation. However, how each of these miRNAs functionally impacts the biological properties of these cells has not been systematically evaluated. Methods: We investigated the effects of 31 miRNAs on NTera-2 and H1 hESCs, by transfecting miRNA mimics. Following 3-4 days of culture, cells were stained for the pluripotency marker OCT4 and the G2 cell-cycle marker Cyclin B1, and nuclei and cytoplasm were co-stained with Hoechst and Cell Mask Blue, respectively. By using automated quantitative fluorescence microscopy (i.e., high-content screening (HCS)), we obtained several morphological and marker intensity measurements, in both cell compartments, allowing the generation of a multiparametric miR-induced phenotypic profile describing changes related to proliferation, cell cycle, pluripotency, and differentiation. Results: Despite the overall similarities between both cell types, some miRNAs elicited cell-specific effects, while some related miRNAs induced contrasting effects in the same cell. By identifying transcripts predicted to be commonly targeted by miRNAs inducing similar effects (profiles grouped by hierarchical clustering), we were able to uncover potentially modulated signaling pathways and biological processes, likely mediating the effects of the microRNAs on the distinct groups identified. Specifically, we show that miR-363 contributes to pluripotency maintenance, at least in part, by targeting NOTCH1 and PSEN1 and inhibiting Notch-induced differentiation, a mechanism that could be implicated in na\uefve and primed pluripotent states. Conclusions: We present the first multiparametric high-content microRNA functional screening in human pluripotent cells. Integration of this type of data with similar data obtained from siRNA screenings (using the same HCS assay) could provide a large-scale functional approach to identify and validate microRNA-mediated regulatory mechanisms controlling pluripotency and differentiation
Associations between health-related quality of life, physical function and fear of falling in older fallers receiving home care
Falls and injuries in older adults have significant consequences and costs, both personal and to society. Although having a high incidence of falls, high prevalence of fear of falling and a lower quality of life, older adults receiving home care are underrepresented in research on older fallers. The objective of this study is to determine the associations between health-related quality of life (HRQOL), fear of falling and physical function in older fallers receiving home care
Eudor-a: a Naturalistic, European Multi-centre Clinical Study of Edor Test in Adult Patients with Primary Depression
Introduction: Previous findings suggested that electrodermal hyporeactivity has a high sensitivity (up to 97%)
and high raw specificity (up to 98%) for suicide.
Aim: To evaluate prevalence, sensitivity and specificity of electrodermal hyporeactivity for suicide
and suicide attempt, with and without death intent and with violent method or not, in adult patients
with a primary diagnosis of depression.
Methods: At each study site at least 100 patients with a primary diagnosis of depression, also in remission,
will be recruited. Depressive symptomatology will be evaluated through the Montgomery-Asberg Depression
Scale. Previous suicide attempts will be registered and the death intent of the worst attempt will be rated
according to the first eight items of the Beck Suicide Intent Scale. The risk of suicide will be assessed
according to rules and traditions at the centre. The EDOR Test (ElectroDermal Orienting Reactivity) will be
performed. Two fingers are put on gold electrodes. Through headphones a moderately strong tone is
presented now and then during the test. Sensors located within the electrodes are able to register the
electrodermal response to those tones, measuring the skin conductance (i.e. electrodermal activity from
sweat gland activity). Each patient will be followed up for one year for actions of intentional self-harm that
require medical care and for suicide. The death intent will also be rated.
Expected results: It is expected that the EDOR test detects a previously unknown neuropsychological
dysfunction that is independent of the depressive state and can predict suicidality with a high sensitivity and
specificit
A search for resonant production of pairs in $4.8\ \rm{fb}^{-1}p\bar{p}\sqrt{s}=1.96\ \rm{TeV}$
We search for resonant production of tt pairs in 4.8 fb^{-1} integrated
luminosity of ppbar collision data at sqrt{s}=1.96 TeV in the lepton+jets decay
channel, where one top quark decays leptonically and the other hadronically. A
matrix element reconstruction technique is used; for each event a probability
density function (pdf) of the ttbar candidate invariant mass is sampled. These
pdfs are used to construct a likelihood function, whereby the cross section for
resonant ttbar production is estimated, given a hypothetical resonance mass and
width. The data indicate no evidence of resonant production of ttbar pairs. A
benchmark model of leptophobic Z \rightarrow ttbar is excluded with m_{Z'} <
900 GeV at 95% confidence level.Comment: accepted for publication in Physical Review D Sep 21, 201
Precision Top-Quark Mass Measurements at CDF
We present a precision measurement of the top-quark mass using the full
sample of Tevatron TeV proton-antiproton collisions collected
by the CDF II detector, corresponding to an integrated luminosity of 8.7
. Using a sample of candidate events decaying into the
lepton+jets channel, we obtain distributions of the top-quark masses and the
invariant mass of two jets from the boson decays from data. We then compare
these distributions to templates derived from signal and background samples to
extract the top-quark mass and the energy scale of the calorimeter jets with
{\it in situ} calibration. The likelihood fit of the templates from signal and
background events to the data yields the single most-precise measurement of the
top-quark mass, \mtop = 172.85 \pm\pmComment: submitted to Phys. Rev. Let
- …