探索3E方法在教学实验室负面清单管理制度中的应用

高校化学教学实验室内存在很多危险因素,管理方法和技术手段采用不当会引起师生受伤,进而影响实验教学的正常进行。负面清单管理制度可简明扼要地将各种实验教学和实验室管理过程中发现的问题进行归纳总结,做好负面清单的整理和持续改进是强化高校化学实验教学实验室安全管理的有效方法之一。本文在总结现阶段高校化学实验教学实验室的各种影响因素的基础上,形成有针对性的负面清单,开展有针对性的实验室安全教育和培训E(education)、采取有效的实验室工程技术安全措施E(engineering)、强化实验室安全强制措施E(enforcement),形成了3E方法与负面清单管理制度相结合的化学教学实验室安全模式。该制度的可持续发展模式在化学教学实验室管理中收获良好效果,为高校化学教学实验室安全管理提供参考。

基于创新人才培养的国家级实验教学示范中心持续建设

化学国家级实验教学示范中心(兰州大学)作为兰州大学“双一流”建设化学学科的重要支撑平台,牢记为党育人初心使命,落实立德树人根本任务,以创新人才培养为目标,搭建出优质的实验教学资源共享平台,形成了“基础→综合→科研训练”三层次的实验教学体系。实验教学改革中强化科教融合、以赛促建,培养学生的创新能力,以高水平实验教学支撑了高质量创新型化学拔尖人才的培养,学生的实践和创新能力增强,综合素质优秀。在课程及教材建设、实验教学改革与研究、实验室建设等方面取得了良好进展,示范辐射作用显著。

Anticoagulation therapy for pulmonary embolism involving a myxoma mimicking, giant type C thrombus: A case report

Right heart thrombus(RHTh) with concurrent acute pulmonary embolism(PE) is rare and can seriously destabilize hemodynamics, leading to an emergency situation with high mortality. Diagnosis and treatment of RHTh with acute PE are not yet standardized. There are few reports of acute PE concurrent with RHTh and even less is known about patients with a right heart mural thrombus. For physicians, the diagnostic choice and treatment of these patients are particularly difficult due to the lack of knowledge. Here, we report a rare case of partial mural RHTh(type C RHTh) with acute PE. The mural mass in the right heart was initially diagnosed as atrial myxoma according to transthoracic echocardiography(TTE), and both pulmonary embolus and the mural mass were completely absorbed after administering Rivaroxiban. This case suggests that TTE alone is insufficient to identify and diagnoses a right heart mural mass such as this. However, novel oral anticoagulants may be effective at alleviating PE with type C RHTh.

Study on Vibration Characteristics of Stay Cable-Nonlinear Viscous Damper System

Tension cables are easily prone to generating varied vibrations under the action of external loads, which adversely affects the safety of bridges. Therefore, it is necessary to take effective measures to suppress the vibrations of tension cables. Cable end dampers are widely used in vibration reduction for cable-stayed bridges due to their convenient installation and low costs. However, the previous studies on the tension cable-viscous damper systems mostly adopt the linear method, and the weakening effect of the flexibility of mounting brackets on the damper vibration reduction is not sufficiently taken into account. Therefore, this paper adopts the improved Kelvin model to conduct the derivation, solution, and parametric analysis of vibration equations for the stay cable-nonlinear viscous damper systems. The results of parametric analysis show that the maximum modal damping ratio that can be obtained by cables and the corresponding optimal damping coefficient of dampers are correlated with the damping nonlinear coefficient α, stiffness nonlinear coefficient β, vibration order n, installation position a/L, and stiffness coefficient μ, etc.;among them, n damping nonlinear coefficient α and stiffness nonlinear coefficient β are the key parameters that affect the parameter design of dampers, where damping nonlinear coefficient α mainly controls the optimal damping coefficient and stiffness nonlinear coefficient β mainly controls the maximum damping ratio. Based on the parametric analysis, the design principles of dampers and value requirements of key parameters under different vibration suppression objectives are presented.

Biogeochemistry of sedimentary organic matter in the Yongjiang River estuary in the southern part of Hangzhou Bay,China,since the Late Pleistocene

A sediment core(YJK19-02)collected from the southern outlet of Hangzhou Bay near the Yongjiang River estuary in East China was analyzed for grain size,lignin,bulk elemental composition,stable carbon isotope,and rare earth elements(REEs)to determine the sources and diagenesis of sedimentary organic matter(OM)of the estuary and adjacent areas since the Late Pleistocene.δ^(13)C values(-24.80‰–-23.60‰),total organic carbon/total nitrogen(TOC/TN)molar ratios(8.00–12.14),and light rare earth element/heavy rare earth element ratios(LREE/HREE=8.34–8.91)revealed the predominance of terrestrial sources of OM,mainly from the Changjiang(Yangtze)River.The lignin parameters of syringyl/vanillyl(S/V=0.20–0.73)and cinnamyl/vanillyl(C/V=0.03–0.19)ratios indicate the predominance of nonwoody angiosperms,and the vanillic acid/vanillin ratios[(Ad/Al)_(V)=0.32–1.57]indicate medium to high degrees of lignin degradation.An increasing trend ofΛ(total lignin in mg/100-mg OC)values from ca.14500 a BP to ca.11000 a BP reflected the increase in temperature during the Late Pleistocene.However,a time lag effect of temperature on vegetation abundance was also revealed.The relatively higher and stableΛvalues correspond to the higher temperature during the mid-Holocene from ca.8500 a BP to ca.4500 a BP.Λvalues decreased from ca.4000 a BP to the present,corresponding to historical temperature fluctuations during this time.Our results show that the vegetation abundance in the Yongjiang River Basin since the Late Pleistocene was related to the temperature fluctuation duo to climate change.

3D printing encouraging desired in-situ polypyrrole seed-polymerization for ultra-high energy density supercapacitors

The tireless pursuit of supercapacitors with high energy density entails the parallel advancement of wellsuited electrode materials and elaborately engineered architectures.Polypyrrole(PPy)emerges as an exceedingly conductive polymer and a prospective pseudocapacitive materials for supercapacitors,yet the inferior cyclic stability and unpredictable polymerization patterns severely impede its real-world applicability.Here,for the first time,an innovative seed-induced in-situ polymerization assisted 3D printing strategy is proposed to fabricate PPy-reduced graphene oxide/poly(vinylidene difluoride-cohexafluoropropylene)(PVDF-HFP)(PPy-rGO/PH)electrodes with controllable polymerization behavior and exceptional areal mass loading.The preferred active sites uniformly pre-planted on the 3D-printed graphene substrates serve as reliable seeds to induce efficient polypyrrole deposition,achieving an impressive mass loading of 185.6 mg cm^(-2)(particularly 79.2 mg cm^(-2)for polypyrrole)and a superior areal capacitance of 25.2 F cm^(-2)at 2 mA cm^(-2)for a 12-layer electrode.In agreement with theses appealing features,an unprecedented areal energy density of 1.47 mW h cm^(-2)for a symmetrical device is registered,a rarely achieved value for other PPy/rGO-based supercapacitors.This work highlights a promising route to preparing high energy density energy storage modules for real-world applications.

Identification and characterization of genes related to m^(6)A modification in kiwifruit using RNA-seq and ATAC-seq

N6-methyladenosine(m^(6)A)RNA modification is a conserved mechanism that regulates the fate of RNA across eukaryotic organisms.Despite its significance,a comprehensive analysis of m^(6)A-related genes in non-model plants,such as kiwifruit,is lacking.Here,we identified 36 m^(6)A-related genes in the kiwifruit genome according to homology and phylogenetic inference.We performed bioinformatics and evolutionary analyses of the writer,eraser,and reader families of m^(6)A modification.Reanalysis of public RNA-seq data collected from samples under various biotic and abiotic stresses indicated that most m^(6)A-related genes were remarkably expressed under different conditions.Through construction of gene co-expression networks,we found significant correlations between several m^(6)A-related genes and transcription factors(TFs)as well as receptor-like genes during the development and ripening of kiwifruit.Furthermore,we performed ATAC-seq assays on diverse kiwifruit tissues to investigate the regulatory mechanisms of m^(6)A-related genes.We identified 10 common open chromatin regions that were present in at least two tissues,and these regions might serve as potential binding sites for MADS protein,C2H2 protein,and other predicted TFs.Our study offers comprehensive insights into the gene family of m^(6)A-related components in kiwifruit,which will lay foundation for exploring mechanisms of post-transcriptional regulation involved in development and adaptation of kiwifruit.

Estimating the grain size of microgranular material using laser-induced breakdown spectroscopy combined with machine learning algorithms

Recent work has validated a new method for estimating the grain size of microgranular materials in the range of tens to hundreds of micrometers using laser-induced breakdown spectroscopy(LIBS).In this situation,a piecewise univariate model must be constructed to estimate grain size due to the complex dependence of the plasma formation environment on grain size.In the present work,we tentatively construct a unified calibration model suitable for LIBS-based estimation of those grain sizes.Specifically,two unified multivariate calibration models are constructed based on back-propagation neural network(BPNN)algorithms using feature selection strategies with and without considering prior information.By detailed analysis of the performances of the two multivariate models,it was found that a unified calibration model can be successfully constructed based on BPNN algorithms for estimating the grain size in the range of tens to hundreds of micrometers.It was also found that the model constructed with a priorguided feature selection strategy had better prediction performance.This study has practical significance in developing the technology for material analysis using LIBS,especially when the LIBS signal exhibits a complex dependence on the material parameter to be estimated.

Numerical optimization for blades of Intermig impeller in solid-liquid stirred tank

The multiphase flow in the solid-liquid tank stirred with a new structure of Intermig impeller was analyzed by computational fluid dynamics(CFD).The Eulerian multiphase model and standard k-ε turbulence model were adopted to simulate the fluid flow,turbulent kinetic energy distribution,mixing performance and power consumption in a stirred tank.The simulation results were also verified by the water model experiments,and good agreement was achieved.The solid-liquid mixing performances of Intermig impeller with different blade structures were compared in detail.The results show that the improved Intermig impeller not only enhances the solid mixing and suspension,but also saves more than 20% power compared with the standard one.The inner blades have relatively little influence on power and the best angle of inner blades is 45°,while the outer blades affect greatly the power consumption and the optimized value is 45°.

Direct Growth of Graphene on Silicon by Metal-Free Chemical Vapor Deposition

The metal-free synthesis of graphene on singlecrystal silicon substrates, the most common commercial semiconductor, is of paramount significance for many technological applications. In this work, we report the growth of graphene directly on an upside-down placed,single-crystal silicon substrate using metal-free, ambientpressure chemical vapor deposition. By controlling the growth temperature, in-plane propagation, edge-propagation, and core-propagation, the process of graphene growth on silicon can be identified. This process produces atomically flat monolayer or bilayer graphene domains, concave bilayer graphene domains, and bulging few-layer graphene domains. This work would be a significant step toward the synthesis of large-area and layer-controlled, high-quality graphene on single-crystal silicon substrates.

Effects of Bio-organic Fertilizer with Antagonistic Bacteria against Tobacco Bacterial Wilt on Soil Microbial Communities and Disease Resistance of Tobacco

In this study, the effects of bio-organic fertilizer with antagonistic bacteria against tobacco bacterial wilt on soil microbial communities and disease resist- ance of tobacco were investigated by field experiment. The results showed that the incidence of tobacco bacterial wilt in bio-organic fertilizer treatments （T3 and T4） decreased remarkably among four treatments in the field. Compared with the local conventional fertilization group, the incidence of tobacco bacterial wilt was re- duced by 21.9% and 25.0% in T3 and T4, respectively ; the yield of flue-cured tobacco was improved by 5.7% and 5.3%, respectively ; the proportion of mid- high grade tobacco leaves increased by 2.3% and 2.6%, respectively. After application of bio-organie fertilizer with antagonistic bacteria against tobacco bacterial wilt, rhizosphere soil microbial communities exhibited vast amount and abundant species ; the amount of rhizosphere soil bacteria of infected tobacco plants was im- proved by 218.5% with fewer species. It could be concluded that the application of bio-organic fertilizer with antagonistic bacteria against tobacco bacterial wilt could improve the ecological environment of tobacco field, inhibit the growth of pathogenic bacteria, decrease the incidence of tobacco bacterial wilt, and enhance the quality of flue-cured tobacco. This study laid the foundation for further ecological prevention and control of soil-borne diseases of tobacco.

Biological mechanisms and clinical efficacy of sulforaphane for mental disorders

Current clinical management of major mental disorders,such as autism spectrum disorder,depression and schizophrenia,is less than optimal.Recent scientific advances have indicated that deficits in oxidative and inflammation systems are lessthanoptimal.Recentscientific advances have indicated extensively involved in the pathogenesis of these disorders. These findings have led to expanded considerations for treatment.Sulforaphane(SFN)is a dietary phytochemical extracted from cruciferous vegetables.It is an effective activator of the transcription factor nuclear erythroid-2 like factor-2,which can upregulate multiple antioxidants and protect neurons against various oxidative damages.On the other hand,it can also significantly reduce inflammatory response to pathological states and decrease the damage caused by the immune response via the nuclear factor-kB pathway and other pathways.In this review,we introduce the biological mechanisms of SFN and the pilot evidence from its clinical trials of major mental disorders,hoping to promote an increase in psychiatric clinical studies of SFN.

Study on Differences in Quality Indices of Peanut Oil Obtained by Different Oil-making Processes

[Objectives]The differences in indices of different peanut oil were found out by analyzing the quality of peanut oil obtained by different oil-making processes.[Methods]The effects of different oil-making processes on the quality of peanut oil were analyzed and compared through the determination of the main physicochemical indices,V_(E) contents and fatty acid compositions of peanut oil obtained by cold pressing,hot pressing and leaching and refining.[Results]The leached refined peanut oil had the lightest color and the lightest fragrance;the hot-pressed peanut oil had the highest V_(E) content;the refractive index,relative density and main fatty acid compositions of the three kinds of peanut oil had no significant differences;and there were trans-fatty acids in the leached refined peanut oil,and the trans-fatty acid contents in the leached refined fresh and aged peanut oil were 1.90%and 4.39%,respectively.The trans-fatty acid content is expected to be a characteristic index to distinguish pressed peanut oil from leached refined peanut oil.[Conclusions]This study can provide a theoretical basis for distinguishing and identifying peanut oil obtained from different oil-making processes.

A Note on a Kinetic Model for Rod-Like Particle Suspensions

A system, coupled by an incompressible Navier-Stokes and a Fokker-Planck equation, is investigated. The global weak solution with small initial data is obtained.

Research on Known Vulnerability Detection Method Based on Firmware Analysis

At present,the network security situation is becoming more and more serious.Malicious network attacks such as computer viruses,Trojans and hacker attacks are becoming more and more rampant.National and group network attacks such as network information war and network terrorism have a serious damage to the production and life of the whole society.At the same time,with the rapid development of Internet of Things and the arrival of 5G era,IoT devices as an important part of industrial Internet system,have become an important target of infiltration attacks by hostile forces.This paper describes the challenges facing firmware vulnerability detection at this stage,and introduces four automatic detection and utilization technologies in detail:based on patch comparison,based on control flow,based on data flow and ROP attack against buffer vulnerabilities.On the basis of clarifying its core idea,main steps and experimental results,the limitations of its method are proposed.Finally,combined with four automatic detection methods,this paper summarizes the known vulnerability detection steps based on firmware analysis,and looks forward to the follow-up work.

Process and Component Analysis on S-CO_(2)Cooling Wall in the Coal-fired Boiler Power System

The supercritical carbon dioxide(S-CO_(2))cooling wall in coal-fired boiler suffers from severe fragile crisis due to the high temperature of S-CO_(2).The analysis of both heat transfer at process scale and cooling wall arrangement at component scale were carried out in present work.At the process scale,the difference in heat transfer performance between the smooth tube and the rifled tube were identified,especially the location of maximum outer wall temperature of cooling wall.The 1-D mathematical model for thermal-hydraulic analysis of S-CO_(2)furnace cooling wall tubes was then developed.At the component scale,the coupled model of combustion and S-CO_(2)heat transfer is employed for studying the thermal-hydraulic performance of rifled-spiral(R-S)and smooth-spiral(S-S)cooling wall arrangements.The maximum outer wall temperature of R-S cooling wall is 16.38℃lower while the pressure drop increases by 2.33 times compared with the S-S cooling wall.Considering the pressure drop penalty on cycle efficiency of S-CO_(2)boiler power system,the R-S cooling wall is not recommended,while the S-S cooling wall should be carefully arranged in S-CO_(2)boilers.

镓改性的铜基疏水催化剂用于CO_(2)选择性加氢制二甲醚的研究

CO_(2)选择性加氢制二甲醚(DME)是实现CO_(2)资源化利用的重要途径之一.然而,该过程面临着多方面的挑战.比如,水分子会限制CO_(2)的高效转化并诱导铜颗粒的团聚,导致催化活性与稳定性不足.此外,沸石分子筛甲醇脱水催化剂的酸性过强容易造成甲醇过度脱水生成低碳烃,导致催化选择性不足.因此,开发高效稳定的CO_(2)加氢制DME催化剂十分必要.本文通过共水解法制备了一系列镓改性的疏水二氧化硅负载铜基催化剂,并通过优化疏水基团含量以及铜与镓的比例来进一步提高催化性能.通过X射线衍射、氢气程序升温还原、X射线光电子能谱和CO吸附红外光谱等方法进行表征,结果表明,镓物种对铜纳米颗粒的电子结构进行了调控,提升了催化剂上Cuδ+物种的含量,从而抑制了逆水煤气转换反应,实现了CO选择性的降低.此外,水蒸气等温吸附、水蒸气程序升温脱附和水滴接触角测试等结果表明,引入疏水甲基基团可以调控催化剂表面的浸润性,提升水分子的扩散速率并抑制其二次吸附.在镓改性和甲基基团疏水修饰的协同作用下,Cu/Ga-SiO_(2)-20Me催化剂上CO_(2)转化率从5.5%提升至9.7%,DME选择性达到59.3%,而CO选择性则从40%降至11.3%.在100h的长周期测试中,表现出较好的催化稳定性.通过研究CO_(2)加氢催化剂(Cu/SiO_(2)-20Me)和甲醇脱水催化剂(Ga/SiO_(2)-20Me)的混合方式,探讨了疏水环境下铜和镓物种之间的协同作用.结果表明,镓改性和疏水基团的协同作用有助于串联反应的同步进行,避免了甲醇中间体的气相扩散和二次吸附.对于物理混合催化剂,由于两种活性金属存在一定的空间距离,导致铜基催化剂上生成的甲醇必须气相扩散并二次吸附于镓催化剂表面以进行后续甲醇脱水生成二甲醚反应.然而,在疏水甲基基团的作用下,抑制了极性甲醇分子的二次吸附,导致了二甲醚选择性的降低.尽管如此,对于Cu/Ga-SiO_(2)-20Me复合催化剂,铜与镓物种的毗邻性实现了CO_(2)加氢制甲醇和甲醇脱水制二甲醚串联反应能够同步进行,成功避免了甲醇中间体的气相扩散和二次吸附.此外,疏水甲基基团可以加速反应生成水的扩散,促进反应平衡正向进行,实现高效催化.综上,本文研究结果为催化系统的空间分布控制提供了有益的见解,并为设计适用于疏水催化过程的新型串联催化剂提供了参考.此外,该理念为催化剂体系的设计提供了新的思路.

Flow and penetration behavior of submerged side-blown gas

To assess the widely used submerged side-blowing in pyrometallurgy,a high-speed camera-digital image processing-statistical approach was used to systematically investigate the effects of the gas flow rate,nozzle diameter,and inclination angle on the space-time distribution and penetration behavior of submerged side-blown gas in an air-water system.The results show that the gas motion gradually changes from a bubbling regime to a steady jetting regime and the formation of a complete jet structure as the flow rate increases.When the flow rate is low,a bubble area is formed by large bubbles in the area above the nozzle.When the flow rate and the nozzle diameter are significant,a bubble area is formed by tiny bubbles in the area above the nozzle.The increased inclination angle requires a more significant flow rate to form a complete jet structure.In the sampling time,the dimensionless horizontal and vertical penetration depths are Gaussian distributed.Decreasing the nozzle diameter and increasing the flow rate or inclination angle will increase the distribution range and discreteness.New correlations for a penetration depth with an error of±20%were obtained through dimensional analysis.The dimensionless horizontal penetration depth of an argon-melt system in a 120 t converter calculated by the correlation proposed by the current study is close to the result calculated by a correlation in the literature and a numerical simulation result in the literature.

Study on the Girder-End Displacement of a Suspension Bridge Based on Field Measurements

The load-response correlation is a great concern for the management and maintenance agency of bridges. Based on both the load test data and the long-term structural health monitoring data, this study aims to characterize the variation in the girder-end longitudinal displacement of a long-span suspension bridge, i.e., the Zhaoyun Bridge in Guangdong Province of China. The load test provides a valuable chance to investigate the structural deformation in high loading levels, while the structural health monitoring system records the real-time, in-site, and long-term measurements in the normal operational stage of bridges. During the load test, the movement direction of the main girder is found to depend on the relative position of the center of gravity of the girder and the loading vehicles. However, over the period of normal operation, the quasi-static displacement at the ends of the main girder along the bridge axis is dominated by the temperature variations, rather than the traffic loading. The temperature-induced deformation is considerable so it should be filtered out from the structural total responses to highlight the live load effects or the anomalies of the bridge. As a case study, the temperature-displacement baseline model of the Zhaoyun Bridge is established and then utilized to identify the erroneous measurements in the structural health monitoring system. This paper serves as a reference for the structural behavior interpretation and performance evaluation of similar bridges.

Comparative analysis of volatile compounds in different muskmelon cultivars in Xinjiang based on HS-SPME-GC-MS and transcriptomics

Volatile flavor has prompted a great amount of influence in acceptance and view points in fruit products.Melon(Pyrus communis)is an aromadense fruit,thus,the evaluation of volatile flavor is crucial to melon-breeding.The volatile compounds present in nine varieties of Xinjiang muskmelons were identified and analyzed using the headspace solid-phase microextraction and gas chromatography-mass spectrometry methods.In addition,transcriptomics were used to discover the differential genes in fatty acid degradation pathways.It was found that a total of 170 volatile substances,including 52 alcohols,41 esters,24 aldehydes,32 ketones,14 acids and seven phenols,were identified in the nine melons.Results of PCA showed that 3-nonanol,2-nonanol,bis(2-ethylhexyl)adipate,and 2-methylpropanal contributed more to the flavor of melon.It was verified that high activities of acyl-coenzyme A cholesterol acyltransferase(AAT)promoted the conversion of alcohols to esters,so that the melons have a high content of esters.Four genes of long-chain acyl-CoA synthetase were mainly responsible for the large difference in volatile substances.This practice may further undermine the primary rationale for the breeding and promotion in different cultivars of muskmelon.