Assessment of Dependent Performance Shaping Factors in SPAR-H Based on Pearson Correlation Coefficient

With the improvement of equipment reliability,human factors have become the most uncertain part in the system.The standardized Plant Analysis of Risk-Human Reliability Analysis(SPAR-H)method is a reliable method in the field of human reliability analysis(HRA)to evaluate human reliability and assess risk in large complex systems.However,the classical SPAR-H method does not consider the dependencies among performance shaping factors(PSFs),whichmay cause overestimation or underestimation of the risk of the actual situation.To address this issue,this paper proposes a new method to deal with the dependencies among PSFs in SPAR-H based on the Pearson correlation coefficient.First,the dependence between every two PSFs is measured by the Pearson correlation coefficient.Second,the weights of the PSFs are obtained by considering the total dependence degree.Finally,PSFs’multipliers are modified based on the weights of corresponding PSFs,and then used in the calculating of human error probability(HEP).A case study is used to illustrate the procedure and effectiveness of the proposed method.

An Improved CREAM Model Based on DS Evidence Theory and DEMATEL

Cognitive Reliability and Error Analysis Method(CREAM)is widely used in human reliability analysis(HRA).It defines nine common performance conditions(CPCs),which represent the factors thatmay affect human reliability and are used to modify the cognitive failure probability(CFP).However,the levels of CPCs are usually determined by domain experts,whichmay be subjective and uncertain.What’smore,the classicCREAMassumes that the CPCs are independent,which is unrealistic.Ignoring the dependence among CPCs will result in repeated calculations of the influence of the CPCs on CFP and lead to unreasonable reliability evaluation.To address the issue of uncertain information modeling and processing,this paper introduces evidence theory to evaluate the CPC levels in specific scenarios.To address the issue of dependence modeling,the Decision-Making Trial and Evaluation Laboratory(DEMATEL)method is used to process the dependence among CPCs and calculate the relative weights of each CPC,thus modifying the multiplier of the CPCs.The detailed process of the proposed method is illustrated in this paper and the CFP estimated by the proposed method is more reasonable.

Development and Validation of a HPLC Method for Determination of Flavone Glycoside-Camellianin B in Cephalotaxus Sinensis

A simple,rapid and sensitive method for the quantification of camellianin B in Cephalotaxus sinensis（C.sinensis）a natural plant with anti-hyperglycemic effect,was developed and validated by reversed phase liquid chromatography.Chromatographic separation was achieved on a C18 column and an isocratic elution was carried out at a flow-rate of 1.0 mL·min-1 with the acetonitrile-water containing0.1%formic acid（19∶81,v/v）.The detection wavelength was set at 330 nm.The calibration curve was linear over the concentration range of 0.25-50μg·mL-1 with correlation coefficients larger than0.999 5.The limit of detection and limit of quantification were 0.09μg·mL-1and 0.25μg·mL-1,respectively.The precisions and accuracy for all samples were acceptable.The validated method has been successfully applied for the quantification of camellianin B in C.sinensis harvested in different months and may also be used as the quality evaluation of this herb medicine.

Experiencing urban forests for mitigation of negative emotions of people exposed to seasonal PM_(2.5)in Northeast China

Experiencing urban green and blue spaces(GBSs)can be a nature-based solution to improve mental well-being and cope with negative moods for people exposed to PM2.5 pollution.In this study,a total of 1257 photos were collected to recognize their posted emotions of Sina Weibo users from 38 parks in 22 cities in Northeast China in 2021,when atmospheric PM_(2.5)and landscape metrics were evaluated for GBSs of each park.Autumn and winter had heavy atmospheric PM_(2.5)pollutions in resource-dependent cities of Liaoning.Net positive emotions(happy minus sad scores)decreased in larger green spaces.The perception of blue space countered the presentation of sadness only for a limited period over four seasons.High elevation decreased the level of happiness presented in winter.Overall,this study confirms that visiting large urban green spaces at low elevations can benefit the perception of positive sentiments for people exposed to PM_(2.5)in autumn.For planning urban forests in Northeast China,more green spaces should be constructed in cities in southern Jilin province to alleviate air PM_(2.5)pollution and gain better well-being of local people.

Failure Mode and Effects Analysis Based on Z-Numbers and the Graded Mean Integration Representation

Failuremode and effects analysis(FMEA)is a widely used safety assessmentmethod inmany fields.Z-number was previously applied in FMEA since it can take both possibility and reliability of information into consideration.However,the use of fuzzy weighted mean to integrate Z-valuations may have some drawbacks and is not suitable for some situations.In this paper,an improved method is proposed based on Z-numbers and the graded mean integration representation(GMIR)to deal with the uncertain information in FMEA.First,Z-numbers are constructed based on the evaluations of risk factors O,S,D for each failure mode by different experts.Second,weights of the three risk factors and experts are determined.Third,the integration representations of Z-numbers are obtained by a newmethod based on the GMIRmethod.Finally,risk priorities of the failure modes are derived considering the weights of experts and risk factors.Two examples and a case study are given to show the use of the proposed method and comparison with other methods.The results show that the proposed method is more reasonable,universal and simple in calculation.

Diagnostic and prognostic value of minor elevated cardiac troponin levels for percutaneous coronary intervention-related myocardial injury:a prospective,single-center and double-blind study

Cardiac troponin-I （cTnI） and -T （cTnT） are sensitive and specific markers of myocardial injury. However, the role of increased cTnI and cTnT in percutaneous coronary intervention （PCI）-related myocardial injury remains controversial. In this prospective, single-center and double-blind study, we aimed to determine the diagnostic and prognostic value of cTnI as well as cTnT （cTns） in PCI-related myocardial injury in a Chinese population. A total of 1,008 patients with stable angina pectoris and non-ST-segment elevation acute coronary syndrome were recruited. The levels of cTnI and cTnT were examined before and after PCI. All patients were followed up for 26± 9 months to observe the incidence of major adverse cardiac events （MACEs）. Our results showed that post- PCI cTnI and/or cTnT levels were increased to more than the 99^th percentile upper reference limit （URL） in 133 （13.2%） patients, among which 22 （2.2%） were more than 5 × 99^th percentile URL. By univariate analysis, an elevation in cTns after PCI was not an independent predictor of increased MACEs, HR 1.35 （P = 0.33, 95% CI： 0.74-2.46）. In conclusion, our data demonstrate that the incidence of PCI-related myocardial injury is not common in a Chinese population and minor elevated cTns levels may not be a sensitive prognostic marker for MACEs.

Efficacy of an adjusted treatment strategy on the management and in-hospital outcome of patients with STEMI during the COVID-19 pandemic

Dear Editor,The coronavirus disease 2019(COVID-19) broke out in early December 2019 in Wuhan, China~([1]), which put tremendous pressure on the medical system. A nationwide lockdown and strict quarantine measures proved effective in reducing the spread of the pandemic. However, it might have affected the management of time-dependent diseases such as STelevation myocardial infarction(STEMI)~([2]).

Template-Free Hydrothermal Synthesis of β-FeOOH Nanorods and Their Catalytic Activity in the Degradation of Methyl Orange by a Photo-Fenton-Like Process

The rod-shaped form of crystalline β-FeOOH (akaganeite) was prepared by the template-free hydrothermal method with urea as the homogeneous precipitant. X-ray diffraction, field-emission scanning electron microscope and Fourier transform infrared spectrum were used to characterize the resulting products. The degradation of methyl orange (MO) was studied using the prepared nanostructure materials in a photo-Fenton-like process. MO degradation was effectively achieved by hydroxyl radicals that were generated in the heterogeneous catalysis process. Specific surface area of the prepared β-FeOOH was an important factor affecting the efficiency of MO degradation, which depended on the synthesis conditions such as the reaction temperature, the initial concentration of urea and FeCl3.6H2O as well as the n(urea)/n(Fe3+) ratio. The photodegradation efficiencies slightly decreased with the increase of initial pH in the range of 4.5 - 9.5, which indicated the prepared β-FeOOH catalyst can well overcome the drawback of a narrow pH range of homogeneous Fenton reaction. β-FeOOH catalysts loading and H2O2 concentration also play important effect on the degradation efficiency of MO. The prepared β-FeOOH showed good ability of reuse for multiple trials.

植物促生芽孢杆菌中新型脂肪酸通过两组分调控系统OmpS/R和毒素转运蛋白介导的“嗜食同类”机制促进生物被膜的形成

当单细胞繁殖进入多细胞水平时,为了应对环境压力,细菌必须进化出维持其群体稳定的作用机制.“嗜食同类”是芽孢杆菌应对环境营养缺乏的一种策略,维持了芽孢杆菌的生存.作为芽孢杆菌的模式种群,枯草芽孢杆菌的“嗜食同类”行为已被广泛研究,但其他芽孢杆菌的“嗜食同类”机制仍然未知.生物被膜是一种被胞外基质包裹的多细胞群体,维持细菌在自然环境中的生存.本研究报道了由贝莱斯芽孢杆菌SQR9合成的新型次级代谢物杆菌酸(bacillunoic acids,BAs)介导的“嗜食同类”行为及机制,以及它对菌株SQR9生物被膜形成的促进作用.菌株SQR9细胞群体分化为两个亚群,一个亚群合成BAs并通过两组分调控系统OmpS-OmpR激活相应免疫基因bnaAB的表达,而不能合成BAs的亚群对该物质敏感.因而,群体中合成BAs的亚群通过该物质裂解部分不合成BAs的同类,由此释放的胞外DNA促进了生物被膜的形成.该研究结果阐明了菌株SQR9群体中的一些细胞如何牺牲自己,从而使群体中其它细胞有更好的机会在环境中存活下来.因此,菌株SQR9群体受益于“嗜食同类”系统.

Geriatric nursing competence of clinical nursing staff at different hospital levels in Chongqing,China:A cross-sectional study

Objectives:This study aimed to survey the geriatric nursing competencies of clinical nursing staff in Chongqing City,China,and provide suggestions to enhance these competencies.Methods:This study was conducted in 204 hospitals in Southwest China from December 24,2022 to January 7,2023.The“Geriatric Nursing Competence of Clinical Nurse Investigation Tool”was used to explore factors that influence geriatric nurses’competencies via stratified sampling.The survey was conducted by distributing and collecting questionnaires through the online platform Wenjuanxing.Results:A total of 10,692 nurses answered the questionnaires.Of these questionnaires,9,442 were valid.The total geriatric nursing competence score of the clinical nursing staff was 2.29±0.81,the secondary hospital score was 2.23±0.78,and the tertiary hospital’s overall mean score was 2.33±0.83.The factors that influenced secondary hospitals included the department of medicine,age of nurses and total length of career(P<0.05).The factors that influenced tertiary hospitals included the department of medicine,age of nurses,nurses’professional title,and geriatric practical advanced nurses’certification(P<0.05).Conclusions:Geriatric nursing competence among clinical nursing staff is imbalanced at a lower-middle level and is influenced by various factors.Thefindings highlight the need for further clinical training in geriatric nursing.The training of geriatric nurses should focus on necessary clinical skills and on preparing them to adequately manage comprehensive geriatric syndromes.