Abstract
We perform a hierarchical Bayesian inference to investigate the population properties of the coalescing compact binaries involving at least one neutron star (NS). With the current ...gravitational-wave (GW) observation data, we can rule out none of the double Gaussian, single Gaussian, and uniform NS mass distribution models, though a specific double Gaussian model inferred from the Galactic NSs is found to be slightly more preferred. The mass distribution of black holes (BHs) in the neutron star–black hole (NSBH) population is found to be similar to that in the Galactic X-ray binaries. Additionally, the ratio of the merger rate densities between NSBHs and BNSs is estimated to be ∼3:7. The spin properties of the binaries, though constrained relatively poorly, play a nontrivial role in reconstructing the mass distribution of NSs and BHs. We find that a perfectly aligned spin distribution can be ruled out, while a purely isotropic distribution of spin orientation is still allowed. To evaluate the feasibility of reliably determining the population properties of NSs in the coalescing compact binaries with upcoming GW observations, we perform simulations with a mock population. We find that with 100 detections (including BNSs and NSBHs) the mass distribution of NSs can be well determined, and the fraction of BNSs can also be accurately estimated.
Abstract
We develop a new method based on Gaussian processes to reconstruct the mass distribution of binary black holes (BBHs). Instead of prespecifying the formalisms of mass distribution, we ...introduce a more flexible and nonparametric model with which the distribution can be mainly determined by the observed data. We first test our method with simulated data and find that it can well recover the injected distribution. Then, we apply this method to analyze the data of BBHs’ observations from LIGO-Virgo Gravitational-Wave Transient Catalog 2. By reconstructing the chirp mass distribution, we find that there is a peak or a platform located at 20–30
M
⊙
rather than a single-power-law-like decrease from low mass to high mass. Moreover, one or two peaks in the chirp mass range of
<
20
M
⊙
may be favored by the data. Assuming a mass-independent mass ratio distribution of
p
(
q
) ∝
q
1.4
, we further obtain a distribution of primary mass and find that there is a feature located in the range of (30, 40)
M
⊙
, which can be related to
Broken Power Law
and
Power Law + Peak
distributions described in Collaboration et al. Besides, the merger rate of BBHs is estimated to be
=
26.29
−
8.96
+
14.21
Gpc
−
3
yr
−
1
, supposing that there is no redshift evolution.
The consensus recommendations in 2018 from The Chinese Society of Hematology (CSH) on indications, conditioning regimens and donor selection for allogeneic hematopoietic stem cell transplantation ...(allo-HSCT) facilitated the standardization of clinical practices of allo-HSCT in China and progressive integration with the world. There have been new developments since the initial publication. To integrate recent developments and further improve the consensus, a panel of experts from the CSH recently updated the consensus recommendations, which are summarized as follows: (1) there is a new algorithm for selecting appropriate donors for allo-HSCT candidates. Haploidentical donors (HIDs) are the preferred donor choice over matched sibling donors (MSDs) for patients with high-risk leukemia or elderly patients with young offspring donors in experienced centers. This replaces the previous algorithm for donor selection, which favored MSDs over HIDs. (2) Patients with refractory/relapsed lymphoblastic malignancies are now encouraged to undergo salvage treatment with novel immunotherapies prior to HSCT. (3) The consensus has been updated to reflect additional evidence for the application of allo-HSCT in specific groups of patients with hematological malignancies (intermediate-risk acute myeloid leukemia (AML), favorable-risk AML with positive minimal residual disease, and standard-risk acute lymphoblastic leukemia). (4) The consensus has been updated to reflect additional evidence for the application of HSCT in patients with nonmalignant diseases, such as severe aplastic anemia and inherited diseases. (5) The consensus has been updated to reflect additional evidence for the administration of anti-thymocyte globulin, granulocyte colony-stimulating factors and post-transplantation cyclophosphamide in HID-HSCT.
Gravitational-wave (GW) data can be used to test general relativity in the highly nonlinear and strong field regime. Modified gravity theories such as Einstein-dilation-Gauss-Bonnet and dynamical ...Chern-Simons can be tested with the additional GW signals detected in the first half of the third observing run of Advanced LIGO/Virgo. Specifically, we analyze gravitational-wave data of GW190412 and GW190814 to place constraints on the parameters of these two theories. Our results indicate that dynamical Chern-Simons gravity remains unconstrained. For Einstein-dilation-Gauss-Bonnet gravity, we find √ αEdGB≲ 0.40 km when considering GW190814 data, assuming it is a black hole binary. Such a constraint are improved by a factor of approximately 10 in comparison to that set by the first Gravitational-Wave Transient Catalog events.
Between 2008 and 2019, 58,914 hematopoietic stem cell transplantations (HSCTs) were reported to the Chinese Blood and Marrow Transplantation Registry Group (CBMTRG) throughout China. In this report, ...we focus on 2019 data and describe current trends in HSCT in China. There was continued growth in transplant activity in China, with a rapid increase in haploidentical HSCT. In 2019, a total of 12,323 cases of HSCT were reported from 149 transplant teams, 78% (9597 cases) were allogeneic HSCTs. Haploidentical donor (HID) HSCT accounted for 60% (5771 cases) of allogeneic HSCT. The most common indications for allogeneic HSCT for malignant disease were acute myeloid leukemia (AML) (37%) and acute lymphoblastic leukemia (ALL) (24%), and the largest proportion of non-malignant diseases comprised aplastic anemia (AA) (13%). Multiple stem cell source composed 70% of HID and 28% of MSD, which was typical in China. The BuCy based regimen (59%) was the most popular conditioning regimen for allogeneic HSCT, followed by the BuFlu based regimen (23%) and TBI-based regimen (12%). This survey clearly shows comprehensive information about the current state and recent trends for HSCT in China. Further efforts should be made to obtain detailed information.
Abstract In 2019, the Neutron star Interior Composition ExploreR (NICER) mission released its findings on the mass and radius of the isolated neutron star (INS) PSR J0030+0451, revealing a mass of ...approximately 1.4 solar masses ( M ⊙ ) and a radius near 13 km. However, the recent reanalysis by the NICER collaboration suggests that the available data primarily yield a precise inference of the compactness for this source while the resulting mass and radius are strongly model-dependent and diverse (the 68.3% credible regions just overlap slightly for the ST+PDT and PDT-U models). By integrating this compactness data with the equation of state (EOS) refined by our latest investigations, we have deduced the mass and radius for PSR J0030+0451, delivering estimates of M = 1.48 − 0.10 + 0.09 M ⊙ and R = 12.38 − 0.70 + 0.51 km for the compactness found in the ST+PDT model, alongside M = 1.47 − 0.20 + 0.14 M ⊙ and R = 12.37 − 0.69 + 0.50 km for the compactness in the PDT-U model. These two groups of results are well consistent with each other and the direct X-ray data inference within the ST+PDT model seems to be favored. Additionally, we have calculated the tidal deformability, moment of inertia, and gravitational binding energy for this neutron star. Furthermore, employing these refined EOS models, we have updated mass–radius estimates for three INSs with established gravitational redshifts.
Abstract
We introduce a new nonparametric representation of the neutron star (NS) equation of state (EOS) by using the variational autoencoder (VAE). As a deep neural network, the VAE is frequently ...used for dimensionality reduction since it can compress input data to a low-dimensional latent space using the encoder component and then reconstruct the data using the decoder component. Once a VAE is trained, one can take the decoder of the VAE as a generator. We employ 100,000 EOSs that are generated using the nonparametric representation method based on Han et al. as the training set and try different settings of the neural network, then we get an EOS generator (the trained VAE’s decoder) with four parameters. We use the mass–tidal-deformability data of binary NS merger event GW170817, the mass–radius data of PSR J0030+0451, PSR J0740+6620, PSR J0437-4715, and 4U 1702-429, and the nuclear constraints to perform the Bayesian inference. The overall results of the analysis that includes all the observations are
R
1.4
=
12.59
−
0.42
+
0.36
km
,
Λ
1.4
=
489
−
110
+
114
, and
M
max
=
2.20
−
0.19
+
0.37
M
⊙
(90% credible levels), where
R
1.4
/Λ
1.4
are the radius/tidal deformability of a canonical 1.4
M
⊙
NS, and
M
max
is the maximum mass of a nonrotating NS. The results indicate that the implementation of these VAE techniques can obtain reasonable results, while accelerating calculation by a factor of ∼3–10 or more, compared with the original method.
Abstract
DNA data storage is a rapidly developing technology with great potential due to its high density, long-term durability, and low maintenance cost. The major technical challenges include ...various errors, such as strand breaks, rearrangements, and indels that frequently arise during DNA synthesis, amplification, sequencing, and preservation. In this study, a de novo strand assembly algorithm (DBGPS) is developed using de Bruijn graph and greedy path search to meet these challenges. DBGPS shows substantial advantages in handling DNA breaks, rearrangements, and indels. The robustness of DBGPS is demonstrated by accelerated aging, multiple independent data retrievals, deep error-prone PCR, and large-scale simulations. Remarkably, 6.8 MB of data is accurately recovered from a severely corrupted sample that has been treated at 70 °C for 70 days. With DBGPS, we are able to achieve a logical density of 1.30 bits/cycle and a physical density of 295 PB/g.
Numerous studies have employed prompt learning structures to enhance dense prediction tasks by integrating additional semantic or geometric information. While the inclusion of extra information has ...shown improvements in performance, it also poses challenges for applications that cannot provide extra input. To address this issue, this study evaluates the performance of different prompts and introduces an additional-input-free method, called self-prompting perceptual edge learning (SPPEL), which extracts edge-embedded semantic prompts directly from the image feature itself using trainable handcrafted edge operators within a plug-and-play module. To obtain the edge features, our approach incorporates an adversarial structure that compares the similarity between two edge features generated by the Hog and Kirsch operators, where the edge features are measured using multiplication, finetuned through a trainable all-one embedding, and enhanced with channel-to-channel attention. We conduct extensive evaluations of SPPEL on 7 tasks, utilizing 7 different backbones and applying 5 distinct methods. Our experimental results demonstrate that SPPEL achieves strong competitiveness in various settings with an average improvement of 1.7% across all 7 tasks, including ADE20K, COCO (Instance Segmentation), COCO (Object Detection), Pascal VOC2012, STARE, CHASE DB1, and HRF, while incurring a parameter increase of less than 3% (the detailed computation analysis of parameters and Gflops are shown in different experimental tables). Code will be released at: https://github.com/chenhao-zju/sppel
In this work we parameterize the equation of state of dense neutron star (NS) matter with four pressure parameters of and then set the combined constraints with the data of GW170817 and the data of ...six low-mass X-ray binaries (LMXBs) with thermonuclear burst or alternatively the symmetry energy of the nuclear interaction. We find that the nuclear data effectively narrow down the possible range of , the gravitational-wave data plays the leading role in bounding , and the LMXB data as well as the lower bound on the maximal gravitational mass of non-rotating NSs govern the constraints on and . Using posterior samples of pressure parameters and some universal relations, we further investigate how the current data sets can advance our understanding of tidal deformability (Λ), moment of inertia (I), and binding energy (BE) of NSs. For a canonical mass of 1.4 M , we have , , , and if the constraints from the nuclear data and the gravitational-wave data have been jointly applied. For the joint analysis of gravitational-wave data and the LMXB data, we have , , , and . These results suggest that the current constraints on Λ and R still suffer from significant systematic uncertainties, while I1.4 and BE1.4 are better constrained.
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