Analysis on the Cause and Forecast Deviation of an Extreme Rainstorm in Changsha Urban Area

Using NCEP reanalysis data,high-altitude and ground observation data,numerical model data,satellite and radar data,formation cause and forecast deviation of an extreme rainstorm process in Changsha urban area at night on June 9,2020 were analyzed.The results showed that(1)the extreme rainstorm process developed near the surface convergence line,with strong localization,short duration and large hourly rainfall intensity.(2)Under the high temperature and high humidity environment,the low-level cold advection and the hot low-pressure system interacted,and the potential con-vective unstable energy was released,and a strong convective weather was formed.(3)The convergence of water vapor in the lower layer and the strong upward movement provided sufficient water vapor for the rainstorm.The low-centroid thunderstorm was the main reason for the extreme rainstorm.(4)The forecast deviation of the numerical model to the low-level shear line and the mesoscale convergence line was an important reason for the forecast deviation of the heavy rainfall area.

Effects of Nine Kinds of Household Vase Solutions on Fresh-keeping Effect of Lilium Cut Flowers

[Objective]The paper was to study the effects of nine kinds of household vase solutions on fresh-keeping effect of Lilium cut flowers.[Method]Using Lilium"Sorbonne"as the material,nine kinds of household vase solutions were prepared by edible white granulated sugar,white vinegar,akafen powder and vitamin C tablets,respectively.The morphological and physiological indexes of Lilium cut flowers,including vase life,ornamental grade,flower diameter,fresh weight of flower branches,water balance value,soluble protein content and MDA content of petals,were observed,and the effects of nine kinds of household vase solutions on fresh-keeping effect of Lilium cut flowers were studied.[Result]The household vase solution F8(20 g/L white granated sugar+1 packet/L acafen powder+2 tablets/L vitamin C tablets)had the best fresh-keeping effect on Lilium cut flowers,which was beneficial to prolong the vase life and improve the ornamental value of Lilium cut flowers.[Conclusion]The household vase solution of Lilium cut flowers is optimized,which is not only environmentally friendly but also convenient for ordinary families.

Different Fresh-keeping Effects of Sugar, Aspirin and Vc on Cut Rose Flowers

[Objectives] This study was conducted to develop environmentally-friendly effective vase solutions for cut rose flowers convenient for ordinary household use. [Methods] The vase life, flowering stage, flower diameter variation, petal water content, and soluble protein and malondialdehyde contents were determined on cut rose flowers regularly during the vase period, to study the fresh-keeping effects of the vase solutions prepared from such three components as sugar, aspirin and Vc according to L9(33) orthogonal table design on cut rose flowers during the vase period. [Results] 20 g/L white granulated sugar+460 mg/L aspirin+50 mg/L Vc was the best combination in this study. [Conclusions] This study provides a reference for the research on the fresh-keeping vase solutions of household cut rose flowers.

Smartphone-based rapid and visual pathological diagnosis of glioma using perovskite probes

Histopathology plays a great role in diagnosing various diseases,which is considered as a golden standard for tumor identification.The tissue constituents must be stained by visible labels for microscopic analysis by medical experts.However,this process is time-consuming,labor-intensive,and expensive,which requires rapid pathological approaches for diagnosis in the operating room.Here,we present an easy-to-process and high-performance perovskite biological probes for rapid and visual pathological diagnosis of glioma.Perovskite quantum dots can be encapsulated by the copolymer into nanocrystals(PNCs)with a diameter of 100 nm,which is modified with chlorotoxin to achieve the specific recognition of glioma.Benefiting from the super photoluminescence quantum yield(above 93%)of EVA@PNCs aqueous solution,the glioma can be clearly imaged and captured via a smartphone under the excitation of a handheld UV lamp.To demonstrate the visualization and efficiency of PNC probes,different malignant grades of brain tumor sections can be distinguished in no more than 5 min.This strategy provides a general auxiliary diagnosis platform for achieving the histopathology analysis near the operating bed,which is currently not feasible with standard histochemical staining methods.

Investigation of high-speed abrasion behavior of an abradable seal rubber in aero-engine fan application

Abradable seal rubber has been widely used in aero-engine fans to improve their efficiency by reducing the clearance between rotating and stationary components. To investigate the high-speed scraping behavior between a vulcanized silicone rubber and a Ti-6Al-4V fan blade and evaluate the abradable performance of seal rubber, abrasion tests were conducted at a blade tip velocity of 50–300 m/s with an incursion rate of 100 lm/s. The influences of the blade tip velocity on the wear mechanism and interaction forces were specially analyzed. It is shown that abrasive wear and pattern wear are the predominant wear mechanisms, and pattern wear can be seen as the emergence and propagation of cracks. With an increase of the blade tip velocity, both of the final incursion depth and wear mass loss of seal rubber exhibit growth trends. The gradual changes of rubbing forces with an increase of rubbing time are the characteristic of abrasive wear, and force curves with unstable mutations are a reflection of pattern wear. At a constant incursion rate of 100 lm/s, the maximum values of interaction forces decrease first and then grow with an increase of the blade tip velocity, and the blade tip velocity of 150 m/s becomes the cut-off point between abrasive wear and pattern wear.

Numerical modeling of the dynamic variation in multiphase CH_(4) during CO_(2) enhanced gas recovery from depleted shale reservoirs

Regarding CO_(2)enhanced shale gas recovery,this work focuses on changes in the multiphase(free/adsorbed)CH_(4)in the process of CO_(2)enhanced shale gas recovery,by utilizing a rigorous numerical model with real geological parameters.This work studies nine injection well(IW)and CH_(4)production well(PW)combinations of CO_(2)to determine the influence of IW and PW locations on the dynamic interaction of multiphase CH_(4)during 10000 d of CO_(2)injection.The results indicate that the content of both the adsorbed CH_(4)and free CH_(4)is strongly variable before(and during)the CO_(2)-CH_(4)displacement.In addition,during the simulation process,the proportion of the adsorbed CH_(4)among all extracted CH_(4)phases dynamically increases first and then tends to stabilize at 70%-80%.Moreover,the IW-PWs combinations signifi-cantly affect the outcomes of CO_(2)enhanced shale gas recovery-for both the proportion of adsorbed/free CH_(4)and the recovery efficiency.A longer IW-PW distance enables more adsorbed CH_(4)to be recovered but results in a lower efficiency of shale gas recovery.Basically,a shorter IW-PWs distance helps recover CH_(4)via CO_(2)injection if the IW targets the bottom layer of the Wufeng-Longmaxi shale formation.This numerical work expands the knowl-edge of CO_(2)enhanced gas recovery from depleted shale reservoirs.

PMTDS： a computational method based on genetic interaction networks for Precision Medicine Target-Drug Selection in cancer

Background： Precision medicine attempts to tailor the right therapy for the right patient. Recent progress in large- scale collection of patents＇ tumor molecular profiles in The Cancer Genome Atlas （TCGA） provides a foundation for systematic discovery of potential drug targets specific to different types of cancer. However, we still lack powerful computational methods to effectively integrate multiple omics data and protein-protein interaction network technology for an optimum target and drug recommendation for an individual patient. Methods： In this study, a computation method, Precision Medicine Target-Drug Selection （PMTDS） based on genetic interaction networks is developed to select the optimum targets and associated drugs for precision medicine style treatment of cancer. The PMTDS system includes three parts： a personalized medicine knowledgebase for each cancer type, a genetic interaction network-based algorithm and a single patient molecular profiles. The knowledgebase integrates cancer drugs, drug-target databases and gene biological pathway networks. The molecular profiles of each tumor consists of DNA copy number alteration, gene mutation, and tumor gene expression variation compared to its adjacent normal tissue. Results： The novel integrated PMTDS system is applied to select candidate target-drug pairs for 178 TCGA pancreatic adenocarcinoma （PDAC） tumors. The experiment results show known drug targets （EGFR, IGF1R, ERBB2, NRII2 and AKR1B1） of PDAC treatment are identified, which provides important evidence of the PMTDS algorithm＇s accuracy. Other potential targets PTK6, ATF, SYK are, also, recommended for PDAC. Further validation is provided by comparison of selected targets with, both, cell line molecular profiles from the Cancer Cell Line Encyclopedia （CCLE） and drug response data from the Cancer Therapeutics Response Portal （CTRP）. Results from experimental analysis of forty six individual pancreatic cancer samples show that drugs selected by PMTDS have more sample-specific efficacy than the current clinical PDAC therapies. Conclusions： A novelty target and drug priority algorithm PMTDS is developed to identify optimum target-drug pairs by integrating the knowledgebase base with a single patient＇s genomics. The PMTDS system provides an accurate and reliable source for target and off-label drug selection for precision cancer medicine.

Quantitative discrimination of surface adsorbed NOx species on CeO_(2) via spectrophotometry for SCR denitration investigation

CeO_(2)-based catalysts are widely investigated for selective catalytic reduction(SCR)of NO with NH3.Interaction of NO/O_(2) with CeO_(2) generally produces two surface species,i.e.,nitrates and nitrites.However,the explicit quantification of these two species is still unresolved.Herein,we reported that spectrophotometry characterization was effective in determining surface adsorbed NOx species on CeO_(2) by measuring the corresponding ions(NO_(2)-and NO_(3)^(-))dissolved in aqueous solution.Experimental results show that both nitrate(-NO_(3))and nitrite(-NO_(2))species can be quantitatively evaluated and the accuracy is verified by calibrating with NOx-TPD result.Exclusive transfer of adsorbed NOx from catalyst surface to aqueous solution is confirmed and the dissolution process can be accelerated by ultrasonic treatment.Moreover,useful information related to evolution of surface NOx species under various conditions(O_(2) treatment,different adsorption temperature and duration)and over different catalysts(Fe_(2)O_(3),MnO_(2) and MnOx—CeO_(2))are provided.The result of present study demonstrates the potential of spectrophotometry for quantitative discrimination of surface NOx species on CeO_(2) and other oxide-based materials,which is conducive to mechanism analysis of SCR reaction.