273 research outputs found
Reduction in interhemispheric functional connectivity in the dorsal visual pathway in unilateral acute open globe injury patients: a resting-state fMRI study
This study investigated the changes in interhemispheric functional connectivity (FC) of the whole brain in open globe injury (OGI) patients, using voxel-mirrored homotopic connectivity (VMHC), and their relationships with clinical features. Totally, 16 male and 2 female acute OGI patients and 18 sex, age, and education-matched healthy volunteers were enrolled in the study. All subjects were scanned through functional magnetic resonance imaging (fMRI). Receiver operating characteristic (ROC) curves analyses had been used to identify the VMHC in these brain areas could be used as biomarkers to distinguish OGI and from healthy control (HC). The mean VMHC values in multiple brain areas and clinical OGI manifestations were evaluated with a Pearson correlation analysis. OGI patients had significantly decreased VMHC in the bilateral calcarine/lingual/cuneus (BA18, 19, 30) and middle occipital gyrus (BA18, 19). The OGI patients had abnormal interhemispheric FC in the dorsal visual pathway, which may represent the pathophysiological mechanism that underlies acute vision loss after OGI
Search for Quasi-Periodical Oscillations in Precursors of Short and Long Gamma Ray Bursts
The precursors of short and long Gamma Ray Bursts (SGRBs and LGRBs) can serve
as probes of their progenitors, as well as shedding light on the physical
processes of mergers or core-collapse supernovae. Some models predict the
possible existence of Quasi-Periodically Oscillations (QPO) in the precursors
of SGRBs. Although many previous studies have performed QPO search in the main
emission of SGRBs and LGRBs, so far there was no systematic QPO search in their
precursors. In this work, we perform a detailed QPO search in the precursors of
SGRBs and LGRBs detected by Fermi/GBM from 2008 to 2019 using the power density
spectrum (PDS) in frequency domain and Gaussian processes (GP) in time domain.
We do not find any convinced QPO signal with significance above 3 ,
possibly due to the low fluxes of precursors. Finally, the PDS continuum
properties of both the precursors and main emissions are also studied for the
first time, and no significant difference is found in the distributions of the
PDS slope for precursors and main emissions in both SGRBs and LGRBs.Comment: submitte
Calibration of the Timing Performance of GECAM-C
As a new member of the Gravitational wave high-energy Electromagnetic
Counterpart All-sky Monitor (GECAM) after GECAM-A and GECAM-B, GECAM-C
(originally called HEBS), which was launched on board the SATech-01 satellite
on July 27, 2022, aims to monitor and localize X-ray and gamma-ray transients
from 6 keV to 6 MeV. GECAM-C utilizes a similar design to GECAM but
operates in a more complex orbital environment. In this work, we utilize the
secondary particles simultaneously produced by the cosmic-ray events on orbit
and recorded by multiple detectors, to calibrate the relative timing accuracy
between all detectors of GECAM-C. We find the result is 0.1 , which
is the highest time resolution among all GRB detectors ever flown and very
helpful in timing analyses such as minimum variable timescale and spectral
lags, as well as in time delay localization. Besides, we calibrate the absolute
time accuracy using the one-year Crab pulsar data observed by GECAM-C and
Fermi/GBM, as well as GECAM-C and GECAM-B. The results are and , respectively. Finally, we investigate the
spectral lag between the different energy bands of Crab pulsar observed by
GECAM and GBM, which is .Comment: submitte
Prediction model of ocular metastasis from primary liver cancer: Machine learning‐based development and interpretation study
Background: Ocular metastasis (OM) is a rare metastatic site of primary liver cancer (PLC). The purpose of this study was to establish a clinical predictive model of OM in PLC patients based on machine learning (ML). Methods: We retrospectively collected the clinical data of 1540 PLC patients and divided it into a training set and an internal test set in a 7:3 proportion. PLC patients were divided into OM and non‐ocular metastasis (NOM) groups, and univariate logistic regression analysis was performed between the two groups. The variables with univariate logistic analysis p < 0.05 were selected for the ML model. We constructed six ML models, which were internally verified by 10‐fold cross‐validation. The prediction performance of each ML model was evaluated by receiver operating characteristic curves (ROCs). We also constructed a web calculator based on the optimal performance ML model to personalize the risk probability for OM. Results: Six variables were selected for the ML model. The extreme gradient boost (XGB) ML model achieved the optimal differential diagnosis ability, with an area under the curve (AUC) = 0.993, accuracy = 0.992, sensitivity = 0.998, and specificity = 0.984. Based on these results, an online web calculator was constructed by using the XGB ML model to help clinicians diagnose and treat the risk probability of OM in PLC patients. Finally, the Shapley additive explanations (SHAP) library was used to obtain the six most important risk factors for OM in PLC patients: CA125, ALP, AFP, TG, CA199, and CEA. Conclusion: We used the XGB model to establish a risk prediction model of OM in PLC patients. The predictive model can help identify PLC patients with a high risk of OM, provide early and personalized diagnosis and treatment, reduce the poor prognosis of OM patients, and improve the quality of life of PLC patients
Quality assessment metric of stereo images considering cyclopean integration and visual saliency
This paper was accepted for publication in the journal Information Sciences and the definitive published version is available at http://dx.doi.org/10.1016/j.ins.2016.09.004.In recent years, there has been great progress in the wider use of three-dimensional (3D) technologies. With increasing sources of 3D content, a useful tool is needed to evaluate the perceived quality of the 3D videos/images. This paper puts forward a framework to evaluate the quality of stereoscopic images contaminated by possible symmetric or asymmetric distortions. Human visual system (HVS) studies reveal that binocular combination models and visual saliency are the two key factors for the stereoscopic image quality assessment (SIQA) metric. Therefore inspired by such findings in HVS, this paper proposes a novel saliency map in SIQA metric for the cyclopean image called “cyclopean saliency”, which avoids complex calculations and produces good results in detecting saliency regions. Moreover, experimental results show that our metric significantly outperforms conventional 2D quality metrics and yields higher correlations with human subjective judgment than the state-of-art SIQA metrics. 3D saliency performance is also compared with “cyclopean saliency” in SIQA. It is noticed that the proposed metric is applicable to both symmetric and asymmetric distortions. It can thus be concluded that the proposed SIQA metric can provide an effective evaluation tool to assess stereoscopic image quality
The Minimum Variation Timescales of X-ray bursts from SGR J1935+2154
The minimum variation timescale (MVT) of soft gamma-ray repeaters can be an
important probe to estimate the emission region in pulsar-like models, as well
as the Lorentz factor and radius of the possible relativistic jet in gamma-ray
burst (GRB)-like models, thus revealing their progenitors and physical
mechanisms. In this work, we systematically study the MVTs of hundreds of X-ray
bursts (XRBs) from SGR J1935+2154 observed by {\it Insight}-HXMT, GECAM and
Fermi/GBM from July 2014 to Jan 2022 through the Bayesian Block algorithm. We
find that the MVTs peak at 2 ms, corresponding to a light travel time
size of about 600 km, which supports the magnetospheric origin in pulsar-like
models. The shock radius and the Lorentz factor of the jet are also constrained
in GRB-like models. Interestingly, the MVT of the XRB associated with FRB
200428 is 70 ms, which is longer than that of most bursts and implies
its special radiation mechanism. Besides, the median of MVTs is 7 ms, shorter
than the median MVTs of 40 ms and 480 ms for short GRBs or long GRBs,
respectively. However, the MVT is independent of duration, similar to GRBs.
Finally, we investigate the energy dependence of MVT and suggest that there is
a marginal evidence for a power-law relationship like GRBs but the rate of
variation is at least about an order of magnitude smaller. These features may
provide an approach to identify bursts with a magnetar origin.Comment: accepted for publication in ApJ
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