150 research outputs found
Some thoughts and suggestions on the practice of water prevention and control in coal mines
According to some hot spots such as exploration before excavation,difficulties like drainage mining under special conditions and contradictory while operating procedures in recent coal mining water prevention projects, confusions brought to production practice and safety supervision are analyzed, some opinions are also put forward. Firstly, the connation of “doubt will be prospected” is discussed in this paper. It is assured that “doubt will be explored” comes after “prediction and forecast”. The “prediction and forecast” are key factors to problems like types of water hazards, water pressure and positions of water, based on what water exploration and release can be designed. From the historical background and realistic conditions, the analysis shows that the exploration before excavation proposed in [2011] No.70 document formulated by Shanxi Province is implemented under specific conditions, with strong pertinence (ancient wells and cellar water). The type of water damage is clear, the space position of water pressure source is roughly known, and the design conditions of drilling hole are available. Therefore, design conditions of water exploration drillings are acquired and “exploration before excavation” is reasonable. However, the scope of “exploration before excavation” cannot be extended infinitely to other fields, otherwise it will be aimless, causing bumps in design, execution and supervision. Secondly, degradation of water on soft rocks is analyzed. Degradations like crumble, rock mud, expansion and floor heave can happen on complicated soft rocks which possess weak cementation, low altitude, high expansion and strong watery, limiting production efficiency. The purpose of pre-dredging weak aquifer under soft rock condition is to improve the production conditions and to increase production efficiency. It is suggested that the regulations should make principles constraints on such drainage holes, so as to facilitate enterprises to formulate construction technical measures in combination with the actual situations. Otherwise, there will be a difference in understanding between government regulators and enterprises. Finally, according to the definition in the procedure, the water-conducting fracture zone does not include the caving zone (above the caving zone); nevertheless, the empirical formula in the procedure and the attached drawings show that the water-conducting fracture zone includes the caving zone, which has inconsistency between the front and the back. For this case, two alternative revision suggestions are advanced. Through the analysis of this paper, some fuzzy concepts are clarified, which is convenient for the production unit to accurately implement the rules and regulations, conducive to the precise supervision of safety supervision department. Besides, dilemma between the supervision department and the enterprise can be avoided
Serum klotho as a novel biomarker for metabolic syndrome: findings from a large national cohort
BackgroundMetabolic syndrome is a cluster of metabolic abnormalities that significantly increase the risk of cardiovascular disease and mortality. The identification of novel biomarkers associated with mortality in patients with metabolic syndrome could facilitate early risk stratification and targeted interventions.MethodsWe conducted a large prospective cohort study using data from five cycles (2009-2016) of the National Health and Nutrition Examination Survey (NHANES) database, including a total of 40,439 participants. Logistic regression analysis was used to assess the association between serum klotho protein levels and metabolic syndrome, while Cox regression analysis was employed to examine the correlation between serum klotho levels and all-cause mortality. Mortality data were updated until December 31, 2019.ResultsAfter adjusting for demographic and socioeconomic confounders, the logistic regression model demonstrated that higher serum klotho levels were significantly associated with a decreased prevalence of metabolic syndrome (OR [95% CI] Highest vs. lowest quartile: 0.84 [0.70-0.99], P=0.038). In the Cox regression model, elevated klotho levels were found to significantly reduce the risk of all-cause mortality among individuals with metabolic syndrome (HR [95% CI] Highest vs. lowest quartile: 0.68 [0.51-0.90], P=0.006).ConclusionSerum klotho levels were found to be inversely associated with the prevalence of metabolic syndrome, independent of potential confounding factors such as demographics, socioeconomic status, and lifestyle factors. Furthermore, higher klotho levels strongly indicated a lower risk of all-cause mortality in individuals with metabolic syndrome
Cellular immunotherapy as maintenance therapy prolongs the survival of the patients with small cell lung cancer in extensive stage
AbstractBackgroundSmall cell lung cancer (SCLC) is the most devastating type of human lung cancer. Patients usually present with disseminated disease to many organs (extensive stage). This study was to investigate the efficacy and safety of cellular immunotherapy (CIT) with autologous natural killer (NK), γδT, and cytokine-induced killer (CIK) cells as maintenance therapy for extensive-stage SCLC (ES-SCLC) patients.MethodsA pilot prospective cohort study was conducted with ES-SCLC patients who had responded to initial chemotherapy. Patients received either CIT as maintenance therapy (CIT group), or no treatment (control group). Progression-free survival (PFS), overall survival (OS), and adverse effects were compared.ResultsForty-nine patients were recruited in this study, with 19 patients in the CIT group and 30 patients in the control group. The patient characteristics of the 2 groups were comparable except for age, as patients in the CIT group were older than those in the control group (P < 0.05). PFS in the CIT group was superior to the control group (5 vs. 3.1 months, P = 0.020; HR, 0.489, 95% CI, 0.264–0.909, P = 0.024). OS of the CIT group was also longer than that of the control group (13.3 vs. 8.2 months, P = 0.044; HR, 0.528, 95% CI, 0.280–0.996, P = 0.048, respectively). No significant adverse reactions occurred in patients undergoing CIT.ConclusionsCIT maintenance therapy in ES-SCLC prolonged survival with only minimal side effects. Integrating CIT into the current treatment may be a novel strategy for ES-SCLC patients, although further multi-center randomized trials are needed
ASXL1 interacts with the cohesin complex to maintain chromatid separation and gene expression for normal hematopoiesis
ASXL1 is frequently mutated in a spectrum of myeloid malignancies with poor prognosis. Loss of Asxl1 leads to myelodysplastic syndrome-like disease in mice; however, the underlying molecular mechanisms remain unclear. We report that ASXL1 interacts with the cohesin complex, which has been shown to guide sister chromatid segregation and regulate gene expression. Loss of Asxl1 impairs the cohesin function, as reflected by an impaired telophase chromatid disjunction in hematopoietic cells. Chromatin immunoprecipitation followed by DNA sequencing data revealed that ASXL1, RAD21, and SMC1A share 93% of genomic binding sites at promoter regions in Lin-cKit+ (LK) cells. We have shown that loss of Asxl1 reduces the genome binding of RAD21 and SMC1A and alters the expression of ASXL1/cohesin target genes in LK cells. Our study underscores the ASXL1-cohesin interaction as a novel means to maintain normal sister chromatid separation and regulate gene expression in hematopoietic cells
Whole genome sequencing of cyanobacterium Nostoc sp. CCCryo 231-06 using microfluidic single cell technology
The Nostoc sp. strain CCCryo 231-06 is a cyanobacterial strain capable of surviving under extreme conditions and thus is of great interest for the astrobiology community. The knowledge of its complete genome sequence would serve as a guide for further studies. However, a major concern has been placed on the effects of contamination on the quality of sequencing data without a reference genome. Here, we report the use of microfluidic technology combined with single cell sequencing and de novo assembly to minimize the contamination and recover the complete genome of the Nostoc strain CCCryo 231-06 with high quality. 100% of the whole genome was recovered with all contaminants removed and a strongly supported phylogenetic tree. The data reported can be useful for comparative genomics for phylogenetic and taxonomic studies. The method used in this work can be applied to studies that require high-quality assemblies of genomes of unknown microorganisms
Intrinsic Determinants of Aβ12–24 pH-Dependent Self-Assembly Revealed by Combined Computational and Experimental Studies
The propensity of amyloid- (A) peptide to self-assemble into highly ordered amyloid structures lies at the core of their accumulation in the brain during Alzheimer's disease. By using all-atom explicit solvent replica exchange molecular dynamics simulations, we elucidated at the atomic level the intrinsic determinants of the pH-dependent dimerization of the central hydrophobic segment A and related these with the propensity to form amyloid fibrils measured by experimental tools such as atomic force microscopy and fluorescence. The process of A dimerization was evaluated in terms of free energy landscape, side-chain two-dimensional contact probability maps, -sheet registries, potential mean force as a function of inter-chain distances, secondary structure development and radial solvation distributions. We showed that dimerization is a key event in A amyloid formation; it is highly prompted in the order of pH 5.02.98.4 and determines further amyloid growth. The dimerization is governed by a dynamic interplay of hydrophobic, electrostatic and solvation interactions permitting some variability of -sheets at each pH. These results provide atomistic insight into the complex process of molecular recognition detrimental for amyloid growth and pave the way for better understanding of the molecular basis of amyloid diseases
The global catalogue of microorganisms 10K type strain sequencing project: closing the genomic gaps for the validly published prokaryotic and fungi species
Genomic information is essential for taxonomic, phylogenetic and functional studies to comprehensively decipher the characteristics of microorganisms, to explore microbiomes through metagenomics, and to answer fundamental questions of nature and human life. However, large gaps remain in the available genomic sequencing information published for bacterial and archaeal species, and the gaps are even larger for fungal type strains. The Global Catalogue of Microorganisms (GCM) leads an internationally coordinated effort to sequence type strains and close gaps in the genomic maps of microbes. Hence, the GCM aims to promote research by deep-mining genomic data.This work was supported by the Strategic Priority Research Program
of the Chinese Academy of Sciences (grant XDA19050301),
the Bureau of International Cooperation of the Chinese
Academy of Sciences (grants 153211KYSB20160029 and
153211KYSB20150010), the National Key Research Program
of China (grants 2017YFC1201202, 2016YFC1201303, and
2016YFC0901702), the 13th Five-year Informatization Plan of
the Chinese Academy of Sciences (grant XXH13506), and the
National Science Foundation for Young Scientists of China
(grant 31701157).info:eu-repo/semantics/publishedVersio
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
Preparation of ZnO-GO nanocomposites and their properties
ZnO nanoparticles were prepared by hydrothermal method. The modified Hummer process was then used to prepare go. The ZnO-GO com posites were then mixed to produce different ratios of ZnO-GO, characteris ed and their photocatalytic properties were investigated using rhodamine B as the target degradation species. The results showed that the degradation r ates of rhodamine B were 41.96% and 84.42% for the nano-ZnO and ZnO-GO 7% composites, respectively, when illuminated with xenon light for 36 0 min. The improved photocatalytic activity of composite materials is prim arily due to the introduction of appropriate amount of GO, which could ra pidly capture and transfer to the photogenerated electrons, and could load more ZnO and prevent the agglomeration of ZnO particles, increasing the s pecific surface area of ZnO and its activation point, as well as increasing th e adsorption of pollutants on the ZnO surface and improving the photocatal ytic efficiency
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