Molecular and Celluar Mechanism Studies on Anticancer Effects of Chinese Medicines

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Concept for a Future Super Proton-Proton Collider

Following the discovery of the Higgs boson at LHC, new large colliders are being studied by the international high-energy community to explore Higgs physics in detail and new physics beyond the Standard Model. In China, a two-stage circular collider project CEPC-SPPC is proposed, with the first stage CEPC (Circular Electron Positron Collier, a so-called Higgs factory) focused on Higgs physics, and the second stage SPPC (Super Proton-Proton Collider) focused on new physics beyond the Standard Model. This paper discusses this second stage.Comment: 34 pages, 8 figures, 5 table

Potential of Core-Collapse Supernova Neutrino Detection at JUNO

JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve

Detection of the Diffuse Supernova Neutrino Background with JUNO

As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO

Mir-23a involves in the anti-cancer effect of CRAE and berberine in human hepatocellular carcinoma cells

published_or_final_versionChinese MedicineMasterMaster of Philosoph

Evaluation and Analysis of Urban Power Grid Operation Status Based on Online Sequence Extreme Learning Machine and Self-Coding Network

The study aims to improve the accuracy and speed of the operating state assessment of urban power grids. The hierarchical analysis and self-coding network are combined to reduce the model input, and the improved online sequence limit learning machine (OSELM) algorithm is adopted to improve the real-time response ability of the model to dynamic data. The results show that the prediction accuracy of the weighted online sequence limit learning machine algorithm is significant, and the prediction average of 0.0994 is similar to the actual value of 0.0991, and better than the prediction value of 0.0946 and the standard 0.0986 algorithm. Moreover, the experimental weighted online sequence limit learning machine algorithm converges faster and improves the prediction accuracy than the traditional support vector machine algorithm after 450 iterations. It can be found that this study confirmed that the accuracy of urban power grid status assessment can be effectively improved by the combination of dimension reduction technology and dynamic update learning mechanism. This research provides a new technical scheme for the real-time monitoring and fault prediction of the operation status of the urban power grid, which is of great significance to ensure the safe operation of the power grid

Social participation and acceptance of disability in young and middle-aged breast cancer patients after surgery: A 6-month follow-up study

Objective: To describe the social participation and acceptance of disability (AOD) in young and middle-aged patients with breast cancer after surgery and their dynamic trajectories and to explore the critical factors associated with social participation. Methods: 212 young and middle-aged patients with breast cancer after surgery were recruited for a 6-month follow-up study, and 158 of whom completed four surveys. Participants were asked to complete questionnaires including a general information questionnaire, Social Dysfunction Screening Scale, and Adaptation of Disability Scale Revised at baseline, and at 1, 3, and 6 months. T-test and chi-square test were used to analyze the difference in baseline data. Linear generalized estimating equations were used to analyze the dynamic trend and influencing factors. The Cochran-Armitage trend test was used to analyze the trend of the incidence of social function defects. Results: The status of social participation in patients after breast cancer surgery was poor, and 77.9%, 59.3%, 45.9%, and 29.1% had social function defects, respectively. The AOD was at a moderate level. Both social participation and AOD showed a trend of dynamic improvement. Age (P ​= ​0.044), residence (P ​= ​0.007), surgery type (P ​= ​0.043), postoperative chemotherapy (P ​= ​0.003), and AOD (P < 0.001) were the key factors associated with social participation. Conclusions: Medical staff should focus on elderly patients, who lived outside the provincial capital city, received total mastectomy, or modified radical mastectomy and postoperative chemotherapy. AOD might be an important potential avenue for improving the social participation level of young and middle-aged patients with breast cancer after surgery

Up-regulation of TIMP-1 by genipin inhibits MMP-2 activities and suppresses the metastatic potential of human hepatocellular carcinoma.

Hepatocellular carcinoma is one of the most malignant human cancers with high metastatic potential. The aim of this study is to investigate the anti-metastatic effect of genipin and its underlying mechanism.The anti-metastatic potential of genipin was evaluated by both cell and animal model. Wound healing and invasion chamber assays were introduced to examine the anti-migration and anti-invasion action of genipin in human hepatocellular carcinoma cell HepG2 and MHCC97L; orthotopical implantation model was used for in vivo evaluation. Gelatin Zymography, Immunoblotting, quantitative real-time polymerase chain reaction and ELISA assays were used to study the mechanisms underlying genipin's anti-metastatic effect.Genipin suppresses the motility and invasiveness of HepG2 and MHCC97L at non-toxic doses, which may be correlated to the inhibition of genipin on MMP-2 activities in the cells. No significant reduced expression of MMP-2 was observed either at mRNA or at protein level. Furthermore, genipin could specifically up-regulate the expression of TIMP-1, the endogenous inhibitor of MMP-2 activities. Silencing of TIMP-1 by RNA interference abolishes genipin's anti-metastaic effect. Activation of p38 MAPK signaling was observed in genipin-treated cells, which is responsible for the TIMP-1 overexpression and MMP-2 inhibition. Presence of SB202190, the p38 MAPK inhibitor, attenuates the anti-metastatic potential of genipin in hepatocellular carcinoma. Orthotopical implantation model showed that genipin could suppress the intrahepatic metastatic as well as tumor expansion in liver without exhibiting potent toxicity.Our findings demonstrated the potential of genipin in suppressing hepatocellular carcinoma metastasis, and p38/TIMP-1/MMP-2 pathway may be involved as the key mechanism of its anti-metastasis effect