Chewing Gum for Intestinal Function Recovery after Colorectal Cancer Surgery: A Systematic Review and Meta-Analysis

Background. This meta-analysis was performed to assess the efficacy and safety of chewing gum in intestinal function recovery after colorectal cancer surgery. Methods. A systematic search was conducted in PubMed, Embase, Science Direct, and Cochrane library for relevant randomized controlled trials (RCTs) published until April 2017. Summary risk ratios or weighted mean differences with 95% confidence intervals were used for continuous and dichotomous outcomes, respectively. Results. 17 RCTs with a total number of 1845 patients were included. Gum chewing following colorectal cancer surgery significantly reduced the time to first passage of flatus (WMD −0.55; 95% CI −0.94 to −0.16; P=0.006), first bowel movement (WMD −0.60; 95% CI −0.87 to −0.33; P<0.0001), start feeding (WMD −1.32; 95% CI −2.18 to −0.46; P=0.003), and the length of postoperative hospital stay (WMD −0.88; 95% CI −1.59 to −0.17; P=0.01), but no obvious differences were found in postoperative nausea, vomiting, abdominal distention, pneumonia, and mortality, which were consistent with the findings of intention to treat analysis. Conclusions. Chewing gum could accelerate the recovery of intestinal function after colorectal cancer surgery. However, it confers no advantage in postoperative clinical complications. Further large-scale and high-quality RCTs should be conducted to confirm these results

Molecular and Celluar Mechanism Studies on Anticancer Effects of Chinese Medicines

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Evaluation of Chinese provincial ecological well-being performance based on the driving effect decomposition

The focus of this paper is three-fold. First, it recalculates the HDI and EFI, use the ratio of HDI and EF to build the EWP, then evaluate and analyze the EWP of China's provinces. Second, it develops a unique ecological well-being performance (EWP) model, which is divided into two driving effects: the well-being effect of economic growth and the ecological efficiency of economic growth. Third, using the Human Development Index (HDI), it measures the well-being effect and ecological efficiency of economic growth in 31 Chinese provinces. Based on the EWP results, it divides the Chinese provinces into five types from economic leading and upgrading to overall descending. The research results show that China's HDI has greatly improved from 2006 to 2016, displaying a trend of "Beijing, Tianjin and Shanghai take the lead in upgrading, and then the uprising trend expands from east to west". However, during the same period from 2006 to 2016, the growth rate of China's people’s well-being was significantly lower than that of per capita ecological footprint (EF), and the overall EWP declined. China's growth in people’s well-being is decoupled from economic growth, which indicates that China’s rapid economic growth was not followed by a similar progress in China’s people’s well-being. The above results suggest that China's total factor productivity (TFP) and green total factor productivity (GTFP) were improving but in different degrees during the above period. Other results show that, the carbon footprint has always been the largest component of China's EF, and the GTFP has always been lower than the TFP. According to the technology progress index and scale efficiency driving of change index, China’s provinces mainly focus on provincial TFP rather than GTFP. This paper suggests that the different types of provinces should adopt different strategies to improve their EWP in order to promote high-quality economic development

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

Hydrogen Sulfide Protects against Chemical Hypoxia-Induced Cytotoxicity and Inflammation in HaCaT Cells through Inhibition of ROS/NF-κB/COX-2 Pathway

Hydrogen sulfide (H2S) has been shown to protect against oxidative stress injury and inflammation in various hypoxia-induced insult models. However, it remains unknown whether H2S protects human skin keratinocytes (HaCaT cells) against chemical hypoxia-induced damage. In the current study, HaCaT cells were treated with cobalt chloride (CoCl2), a well known hypoxia mimetic agent, to establish a chemical hypoxia-induced cell injury model. Our findings showed that pretreatment of HaCaT cells with NaHS (a donor of H2S) for 30 min before exposure to CoCl2 for 24 h significantly attenuated CoCl2-induced injuries and inflammatory responses, evidenced by increases in cell viability and GSH level and decreases in ROS generation and secretions of IL-1β, IL-6 and IL-8. In addition, pretreatment with NaHS markedly reduced CoCl2-induced COX-2 overexpression and PGE2 secretion as well as intranuclear NF-κB p65 subunit accumulation (the central step of NF-κB activation). Similar to the protective effect of H2S, both NS-398 (a selective COX-2 inhibitor) and PDTC (a selective NF-κB inhibitor) depressed not only CoCl2-induced cytotoxicity, but also the secretions of IL-1β, IL-6 and IL-8. Importantly, PDTC obviously attenuated overexpression of COX-2 induced by CoCl2. Notably, NAC, a ROS scavenger, conferred a similar protective effect of H2S against CoCl2-induced insults and inflammatory responses. Taken together, the findings of the present study have demonstrated for the first time that H2S protects HaCaT cells against CoCl2-induced injuries and inflammatory responses through inhibition of ROS-activated NF-κB/COX-2 pathway

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

A Development and Validation of the Perceived Language Discrimination Scale

This study was conducted to develop the Perceived Language Discrimination (PLD) scale across three samples of international students. In Sample 1 (N ϭ 224), the seven items of the PLD were selected (␣ ϭ .94) through an exploratory factor analysis. In Sample 2, a confirmatory factor analysis (N ϭ 222) provided a cross-validation of the one-factor model. Validity was supported by moderate positive associations of perceived language discrimination with depression (r ϭ .35) and anxiety (r ϭ .36), as well as small negative associations of perceived language discrimination with self-esteem (r ϭ Ϫ.24) and life satisfaction (r ϭ Ϫ.26). Moreover, perceived language discrimination had a large positive association with perceived racial discrimination (r ϭ .62), a moderate negative association with perceived English proficiency (r ϭ Ϫ.49), and a relatively weak association with social desirability (r ϭ .14). Finally, perceived language discrimination added significant incremental variance in predicting depression and anxiety over and above perceived racial discrimination and perceived English proficiency, respectively. The results indicated measurement invariance and validity equivalency for the PLD between males and females as well as between the English and Non-English groups. In Sample 3, the estimated 2-week test-retest reliability (N ϭ 31) was .83