BRD4 Inhibitor Inhibits Colorectal Cancer Growth and Metastasis

Post-translational modifications have been identified to be of great importance in cancers and lysine acetylation, which can attract the multifunctional transcription factor BRD4, has been identified as a potential therapeutic target. In this paper, we identify that BRD4 has an important role in colorectal cancer; and that its inhibition substantially wipes out tumor cells. Treatment with inhibitor MS417 potently affects cancer cells, although such effects were not always outright necrosis or apoptosis. We report that BRD4 inhibition also limits distal metastasis by regulating several key proteins in the progression of epithelial-to-mesenchymal transition (EMT). This effect of BRD4 inhibitor is demonstrated via liver metastasis in animal model as well as migration and invasion experiments in vitro. Together, our results demonstrate a new application of BRD4 inhibitor that may be of clinical use by virtue of its ability to limit metastasis while also being tumorcidal

VLBI observations of 10 CSO candidates: expansion velocities of hot spots

Observations of ten Compact Symmetric Objects ({\rm CSO}) candidates have been made with the Very Long Baseline Array at 8.4 GHz in 2005 and with a combined Chinese and European VLBI array at 8.4 GHz in 2009. The 2009 observations incorporate for the first time the two new Chinese telescopes at Miyun and Kunming for international astrophysical observations. The observational data, in combination with archival VLBA data from previous epochs, have been used to derive the proper motions of the VLBI components. Because of the long time baseline of $\sim$16 years of the VLBI data sets, the expansion velocities of the hot spots can be measured at an accuracy as high as $\sim$1.3 $\mu$as yr$^{-1}$. Six of the ten sources are identified as CSOs with a typical double or triple morphology on the basis of both spectral index maps and their mirror-symmetry of proper motions of the terminal hot spots. The compact double source J1324+4048 is also identified as a CSO candidate. Among the three remaining sources, J1756+5748 and J2312+3847 are identified as core-jet sources with proper motions of their jet components relating to systemic source expansion. The third source J0017+5312 is likely also a core-jet source, but a robust detection of a core is needed for an unambiguous identification. The kinematic ages of the CSOs derived from proper motions range from 300 to 2500 years. The kinematic age distribution of the CSOs confirm an overabundance of compact young CSOs with ages less than 500 years. CSOs with known kinematic ages may be used to study the dynamical evolution of extragalactic radio sources at early stages.Comment: 20 pages, 11 figures, accepted for publication in The Astrophysical Journal Supplemen

Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite

As China's first X-ray astronomical satellite, the Hard X-ray Modulation Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15, 2017, is a wide-band (1-250 keV) slat-collimator-based X-ray astronomy satellite with the capability of all-sky monitoring in 0.2-3 MeV. It was designed to perform pointing, scanning and gamma-ray burst (GRB) observations and, based on the Direct Demodulation Method (DDM), the image of the scanned sky region can be reconstructed. Here we give an overview of the mission and its progresses, including payload, core sciences, ground calibration/facility, ground segment, data archive, software, in-orbit performance, calibration, background model, observations and some preliminary results.Comment: 29 pages, 40 figures, 6 tables, to appear in Sci. China-Phys. Mech. Astron. arXiv admin note: text overlap with arXiv:1910.0443

A survey of image semantics-based visual simultaneous localization and mapping: Application-oriented solutions to autonomous navigation of mobile robots

© The Author(s) 2020. As one of the typical application-oriented solutions to robot autonomous navigation, visual simultaneous localization and mapping is essentially restricted to simplex environmental understanding based on geometric features of images. By contrast, the semantic simultaneous localization and mapping that is characterized by high-level environmental perception has apparently opened the door to apply image semantics to efficiently estimate poses, detect loop closures, build 3D maps, and so on. This article presents a detailed review of recent advances in semantic simultaneous localization and mapping, which mainly covers the treatments in terms of perception, robustness, and accuracy. Specifically, the concept of “semantic extractor” and the framework of “modern visual simultaneous localization and mapping” are initially presented. As the challenges associated with perception, robustness, and accuracy are being stated, we further discuss some open problems from a macroscopic view and attempt to find answers. We argue that multiscaled map representation, object simultaneous localization and mapping system, and deep neural network-based simultaneous localization and mapping pipeline design could be effective solutions to image semantics-fused visual simultaneous localization and mapping

A clutter suppression algorithm via subspace‐weighted mixed‐norm minimisation

Abstract Space‐time adaptive processing (STAP) struggles to effectively suppress clutter in the heterogeneous clutter environment due to the lack of training samples. In order to enhance clutter suppression performance of STAP, a subspace‐weighted mixed‐norm minimisation approach is given. First, a roughly estimated clutter subspace is obtained using the subspace augment (SA) approach. The weight vector is then designed using the association between the dictionary matrix and the noise subspace, allowing the algorithm to penalise sparse coefficients democratically. Finally, in order to solve the subspace‐weighted mixed‐norm minimisation problem, we derive a fast algorithm based on the alternating direction multiplier method (ADMM) framework. The proposed algorithm does not require iteratively updating the weight vector in contrast to the iterative re‐weighted l1 ${l}_{1}$ (IRL1) algorithm. The simulation results demonstrate the effectiveness of the proposed algorithm in terms of computational efficiency and clutter suppression performance

Research on Early Warning of Non-performing Loans of Small and Medium-sized Micro-enterprises Under the Background of COVID-19 -- Taking XX Branch of N Bank as an Example

In recent years, in order to solve the problem of small and medium-sized micro enterprises\u27 loan difficulty, the major banks have developed some very relaxed microloan businesses under the guidance of the policy. These businesses help the vigorous development of small and micro enterprises, but also bring the problem of non-performing loan ratio increasing year by year. In 2020, due to the influence of COVID-19, this problem became particularly acute. The sharp increase in the non-performing loan rate posed new challenges to the credit risk management of banks. Do these enterprises have some warning features when they apply for loans before the epidemic? This problem is worthy of further exploration. Therefore, this paper used the LAD method to analyze the approval data of small and medium-sized micro enterprises (SMEs) approved for online loans in XX Branch of N bank in 2019, excavated the pattern characteristics of SMEs with non-performing loans after the epidemic, help banks with similar problems to improve the credit risk assessment mechanism, improve their early warning ability against the epidemic and other force majeure factors, and reduce the systemic financial risk Insurance, maintain financial stability

Cellulose bridged carbonate hydroxyapatite nanoparticles as novel adsorbents for efficient Cr(VI) removal

Removal of Cr(VI) from aquatic environment is crucial due to its bioaccumulation, high mobility and strong toxicity. In this work, a novel nano-adsorbent consisting of carbonate hydroxyapatite (CHAP) and carboxymethyl cellulose (CMC) was designed and successfully synthesized by a simple route for the uptake of Cr(VI). The synthetic CMC bridged CHAP (CMC-CHAP) material exhibited higher surface area (122.90 m2/g) and adsorption capacity for Cr(VI) (13.45 mg/g) than other apatite based adsorbents. The adsorption process of Cr(VI) by CMC-CHAP was in line with the Langmuir isotherm model and pseudo-second-order kinetic model. The calculated thermodynamic parameters showed that the adsorption of Cr(VI) on CMC-CHAP was a spontaneously endothermic process. In addition, CMC-CHAP had good ability to remove Cr(VI) under the interference of coexisting ions, and possessed remarkable reusability. Based on the pH-effect experiment and x-ray photoelectron spectroscopy characterization, the removal of Cr(VI) by CMC-CHAP was considered to be synergistic processes of electrostatic attraction, reduction reaction and chelation. This work provided new insights into performance optimization and application potential of CMC-CHAP on Cr(VI) removal from water.</p

Table_1_What makes helpful online mental health information? Empirical evidence on the effects of information quality and responders’ effort.XLSX

Although online health communities are popular in supporting mental health, factors leading to the helpfulness of mental health information are still under-investigated. Based on the elaboration likelihood model and motivation theory, we incorporate two types of health information-related constructs, i.e., information quality (central route) and responders’ effort (peripheral route), and adopt reputation as an extrinsic motivation to build our model. We crawl data from a Chinese online mental health community and extract 11 key variables, and then analyze the model with negative binomial regression. The empirical results indicate that the effect of the length of health information on its helpfulness votes is positively significant, while the effect of readability of health information on its helpfulness votes is relatively negative. In terms of responders’ effort, both the timelines of the response and interactive feedback have a significant positive impact on helpfulness of health information votes, while these effects are negatively moderated by the online reputation of responders. This study contributes to the literature on information evaluation mechanisms in online health communities.</p