Demonstration of safety characteristics and effects on gut microbiota of Lactobacillus gasseri HMV18

Human normal flora is a source of probiotics.The safety characteristics of a specific isolate determine its application in foods or drugs.The food-borne-pathogen antagonist strain Lactobacillus gasseri HMV18 is one of the isolates from normal human flora.In this work,we assessed the in vitro pH tolerance,bile tolerance,biogenic amine production,mucin utilization,and safety of in vivo administration to mice to evaluate general health,organ-body weight index,organ histopathological change,whether L.gasseri HMV18 can colonize in the gut or modulate the gut microbiota after oral administration.The results suggest that L.gasseri HMV18 can tolerate pH 3 for 2 h,3%bile for 3 h,biogenic amine negative,mucin usage negative,does not encode verified toxins,and cause no visible change in mice's organs.L.gasseri HMV18 might not colonize in mice's gut,but can significantly affect the structure of gut microbiota.A bibliographical survey suggested that there were as few as 8 opportunistic infection cases from 1984 to 2022 and that the possibility for L.gasseri to cause infection is relatively low.Therefore,this work provides a basis for the foods or drugs application of L.gasseri HMV18 and gives a map of experiments for the safety assessment of probiotics.

An Innovative Deep Architecture for Flight Safety Risk Assessment Based on Time Series Data

With the development of the integration of aviation safety and artificial intelligence,research on the combination of risk assessment and artificial intelligence is particularly important in the field of risk management,but searching for an efficient and accurate risk assessment algorithm has become a challenge for the civil aviation industry.Therefore,an improved risk assessment algorithm(PS-AE-LSTM)based on long short-term memory network(LSTM)with autoencoder(AE)is proposed for the various supervised deep learning algorithms in flight safety that cannot adequately address the problem of the quality on risk level labels.Firstly,based on the normal distribution characteristics of flight data,a probability severity(PS)model is established to enhance the quality of risk assessment labels.Secondly,autoencoder is introduced to reconstruct the flight parameter data to improve the data quality.Finally,utilizing the time-series nature of flight data,a long and short-termmemory network is used to classify the risk level and improve the accuracy of risk assessment.Thus,a risk assessment experimentwas conducted to analyze a fleet landing phase dataset using the PS-AE-LSTMalgorithm to assess the risk level associated with aircraft hard landing events.The results show that the proposed algorithm achieves an accuracy of 86.45%compared with seven baseline models and has excellent risk assessment capability.

Safety assessment of a novel marine multi-stress-tolerant yeast Meyerozyma guilliermondii GXDK6 according to phenotype and whole genome-sequencing analysis

The application of microorganisms as probiotics is limited due to lack of safety evaluation.Here,a novel multi-stress-tolerant yeast Meyerozyma guilliermondii GXDK6 with aroma-producing properties was identified from marine mangrove microorganisms.Its safety and probiotic properties were assessed in accordance with phenotype and whole-genome sequencing analysis.Results showed that the genes and phenotypic expression of related virulence,antibiotic resistance and retroelement were rarely found.Hyphal morphogenesis genes(SIT4,HOG1,SPA2,ERK1,ICL1,CST20,HSP104,TPS1,and RHO1)and phospholipase secretion gene(VPS4)were annotated.True hyphae and phospholipase were absent.Only one retroelement(Tad1-65_BG)was found.Major biogenic amines(BAs)encoding genes were absent,except for spermidine synthase(JA9_002594),spermine synthase(JA9_004690),and tyrosine decarboxylase(inx).The production of single BAs and total BAs was far below the food-defined thresholds.GXDK6 had no resistance to common antifungal drugs.Virulence enzymes,such as gelatinase,DNase,hemolytic,lecithinase,and thrombin were absent.Acute toxicity test with mice demonstrated that GXDK6 is safe.GXDK6 has a good reproduction ability in the simulation gastrointestinal tract.GXDK6 also has a strong antioxidant ability,β-glucosidase,and inulinase activity.To sum up,GXDK6 is considered as a safe probiotic for human consumption and food fermentation.

Risk identification and safety assessment of human-computer interaction in integrated avionics based on STAMP

To solve the problem of risk identification and quantitative assessment for human-computer interaction(HCI)in complex avionics systems,an HCI safety analysis framework based on system-theoretical process analysis(STPA)and cognitive reliability and error analysis method(CREAM)is proposed.STPACREAM can identify unsafe control actions and find the causal path during the interaction of avionics systems and pilot with the help of formal verification tools automatically.The common performance conditions(CPC)of avionics systems in the aviation environment is established and a quantitative analysis of human failure is carried out.Taking the head-up display(HUD)system interaction process as an example,a case analysis is carried out,the layered safety control structure and formal model of the HUD interaction process are established.For the interactive behavior“Pilots approaching with HUD”,four unsafe control actions and35 causal scenarios are identified and the impact of common performance conditions at different levels on the pilot decision model are analyzed.The results show that HUD's HCI level gradually improves as the scores of CPC increase,and the quality of crew member cooperation and time sufficiency of the task is the key to its HCI.Through case analysis,it is shown that STPACREAM can quantitatively assess the hazards in HCI and identify the key factors that impact safety.

A novel refined dynamic model of high-speed maglev train-bridge coupled system for random vibration and running safety assessment

Running safety assessment and tracking irregularity parametric sensitivity analysis of high-speed maglev train-bridge system are of great concern,especially need perfect refinement models in which all properties can be well characterized based on various stochastic excitations.A three-dimensional refined spatial random vibration analysis model of high-speed maglev train-bridge coupled system is established in this paper,in which multi-source uncertainty excitation can be considered simultaneously,and the probability density evolution method(PDEM)is adopted to reveal the system-specific uncertainty dynamic characteristic.The motion equation of the maglev vehicle model is composed of multi-rigid bodies with a total 210-degrees of freedom for each vehicle,and a refined electromagnetic force-air gap model is used to account for the interaction and coupling effect between the moving train and track beam bridges,which are directly established by using finite element method.The model is proven to be applicable by comparing with Monte Carlo simulation.By applying the proposed stochastic framework to the high maglev line,the random dynamic responses of maglev vehicles running on the bridges are studied for running safety and stability assessment.Moreover,the effects of track irregularity wavelength range under different amplitude and running speeds on the coupled system are investigated.The results show that the augmentation of train speed will move backward the sensitive wavelength interval,and track irregularity amplitude influences the response remarkably in the sensitive interval.

Reflection on methodology of the correlation between electromagnetic interference and safety in high-speed railway

Purpose – In the continuous development of high-speed railways, ensuring the safety of the operation controlsystem is crucial. Electromagnetic interference (EMI) faults in signaling equipment may cause transportationinterruptions, delays and even threaten the safety of train operations. Exploring the impact of disturbances onsignaling equipment and establishing evaluation methods for the correlation between EMI and safety isurgently needed.Design/methodology/approach – This paper elaborates on the necessity and significance of studying theimpact of EMI as an unavoidable and widespread risk factor in the external environment of high-speed railwayoperations and continuous development. The current status of research methods and achievements from theperspectives of standard systems, reliability analysis and safety assessment are examined layer by layer.Additionally, it provides prospects for innovative ideas for exploring the quantitative correlation between EMIand signaling safety.Findings – Despite certain innovative achievements in both domestic and international standard systems andrelated research for ensuring and evaluating railway signaling safety, there’s a lack of quantitative and strategic research on the degradation of safety performance in signaling equipment due to EMI. A quantitativecorrelation between EMI and safety has yet to be established. On this basis, this paper proposes considerationsfor research methods pertaining to the correlation between EMI and safety.Originality/value – This paper overviews a series of methods and outcomes derived from domestic andinternational studies regarding railway signaling safety, encompassing standard systems, reliability analysisand safety assessment. Recognizing the necessity for quantitatively describing and predicting the impact ofEMI on high-speed railway signaling safety, an innovative approach using risk assessment techniques as abridge to establish the correlation between EMI and signaling safety is proposed.

Seismic safety assessment with non-Gaussian random processes for train-bridge coupled systems

Extensive high-speed railway(HSR)network resembled the intricate vascular system of the human body,crisscrossing mainlands.Seismic events,known for their unpredictability,pose a significant threat to both trains and bridges,given the HSR’s extended operational duration.Therefore,ensuring the running safety of train-bridge coupled(TBC)system,primarily composed of simply supported beam bridges,is paramount.Traditional methods like the Monte Carlo method fall short in analyzing this intricate system efficiently.Instead,efficient algorithm like the new point estimate method combined with moment expansion approximation(NPEM-MEA)is applied to study random responses of numerical simulation TBC systems.Validation of the NPEM-MEA’s feasibility is conducted using the Monte Carlo method.Comparative analysis confirms the accuracy and efficiency of the method,with a recommended truncation order of four to six for the NPEM-MEA.Additionally,the influences of seismic magnitude and epicentral distance are discussed based on the random dynamic responses in the TBC system.This methodology not only facilitates seismic safety assessments for TBC systems but also contributes to standard-setting for these systems under earthquake conditions.

Analysis of Safety Assessment and Testing of Heavy Traffic Vehicles on Old Bridges Without Data

This article presents a real-life project that aimed to evaluate the safety of traffic vehicles on old bridges without any prior data.The project involved various safety inspections,including conventional,static,and dynamic load inspections and safety assessments.After conducting these tests,it was concluded that the structure of the old bridge is relatively safe,with only a few bumps.The bridge could function normally following appropriate treatment.The analysis provides valuable insights into the assessment of the quality and safety of such bridges to ensure the safe driving of heavy vehicles.

Safety Risk Assessment Analysis of Bridge Construction Using Backpropagation Neural Network

The evaluation of construction safety risks has become a crucial task with the increasing development of bridge construction.This paper aims to provide an overview of the application of backpropagation neural networks in assessing safety risks during bridge construction.It introduces the situation,principles,methods,and advantages,as well as the current status and future development directions of backpropagation-related research.

Formal management-specifying approach for model-based safety assessment

In the field of model-based system assessment,mathematical models are used to interpret the system behaviors.However,the industrial systems in this intelligent era will be more manageable.Various management operations will be dynamically set,and the system will be no longer static as it is initially designed.Thus,the static model generated by the traditional model-based safety assessment(MBSA)approach cannot be used to accurately assess the dependability.There mainly exists three problems.Complex:huge and complex behaviors make the modeling to be trivial manual;Dynamic:though there are thousands of states and transitions,the previous model must be resubmitted to assess whenever new management arrives;Unreusable:as for different systems,the model must be resubmitted by reconsidering both the management and the system itself at the same time though the management is the same.Motivated by solving the above problems,this research studies a formal management specifying approach with the advantages of agility modeling,dynamic modeling,and specification design that can be re-suable.Finally,three typical managements are specified in a series-parallel system as a demonstration to show the potential.

Needs and Challenges of Nigeria Petroleum Industry in Assessing Process Safety Cumulative Risk

A cross-sectional exploratory assessment of the needs and challenges of petroleum industry in Nigeria, in assessing process safety cumulative risk for major accidents prevention was investigated. A purposive cum random sampling technique was used in this study, among selected petroleum companies operating in Nigeria. Survey questionnaires were received from 216 participants made up of asset integrity engineers/operators, process safety experts, production safety professionals in the petroleum industry in Nigeria. Data analyses were carried out to cover descriptive and inferential statistics. Overall, the study recognized that assessing process safety cumulative risk is not a simple process due largely to the changing nature of safety critical barriers degradation data. The study result showed four main challenges faced by petroleum industries in Nigeria, in assessing process safety cumulative risk: 1) the study showed that 94% of the respondents agreed that there is limited accessibility to safety critical barriers degradation data (little automation). Also 2) 94% of the respondents accounted for poor knowledge of process safety cumulative risk is and agreed it to be of low rating. The result further showed that 3) 90% of the respondents demonstrated that there are no guidance and procedures in assessing process safety cumulative risk and finally 4) 92% of the respondents reported that there is no real-time risk visualization model/ tool. Addressing these issues and challenges by the petroleum industries in the study area, will lead to successful assessment of process safety cumulative risk, thereby reducing the risk of major accidents.

汽车安全性测评规程现状及趋势展望

在汽车产业电动化和智能化进程中,汽车安全测试评价技术也从单纯被动安全向主被动安全融合方向延伸和扩展。本文从车内乘员保护、车外弱势道路使用者保护与主动安全三方面,深入对比分析了全球主流汽车安全测评规程的差异,总结了针对各测评工况的车辆安全开发技术要点,探讨了新能源与智能网联汽车安全测评规程的发展趋势。研究认为,主流汽车安全测评规程在被动安全评价方面越来越严格,主动安全测评工况比重在逐步增加,未来测评规程的发展重心将集中于主被动安全融合及针对复杂工况的虚拟测评两方面。此外,针对新能源汽车的电池安全测试已相对完善,未来研究重点可向电控系统测试、底盘稳定性测试和充换电设施与配套设备统一标准化认证等方向拓展;而构建合理、可靠的智能网联汽车OTA(over the air)测试、HMI(human machine interface)安全性和舒适性等测评方法,在中长期内将成为行业关注的重难点问题,且可借助自动驾驶模拟器等工具搭建虚实结合的复合测评体系。

Potential Application of iRap for Road Safety Assessment under Mixed Traffic Condition Case Study: Le Van Viet Street in Ho Chi Minh City

Road transport safety policies have emphasized road infrastructure safety design and engineering as a core function.However,in developing countries like Vietnam,this approach has been slower to adopt,resulting in substandard roads.In-depth studies of accident locations indicate that road environment factors contribute significantly to road accidents in Vietnam and road design features are associated with specific accident types and hazards.Proactive and reactive approaches,such as road safety audit,inspection,assessment,and treatment of hazardous locations,are necessary to ensure that the road and its environment are safe.This paper provides an overview of road safety in Vietnam in general,and Ho Chi Minh in particular,including its factors and characteristics,as well as road infrastructure safety improvements.The iRap tool for road safety inspection and assessment is highlighted as a potential method for systematically analyzing road infrastructure deficiencies and providing targeted countermeasures to improve road safety under mixed traffic conditions.

On the Danger of Threats Underestimating and the Resulting Unreliable Assessment of Building Fire Safety

The paper gives an example showing that the utilization of prescriptive rules in some situations can lead to strong underestimation of the real risks and inadequate fire safety assessment of buildings.The issue seems to be very important as the prescriptive rules in many European countries are the only allowed and acceptable by the authority’s method of building fire safety assessment.The building presented in this paper is an exemplary bakery plant consisting of several premises of a different purpose and method of use,e.g.:technical facilities,production depot,distribution and storage spaces,long-term storage cool rooms,etc.The whole building that consists of single-story technological(production and storage)part and(located on two stories)office parts was approved as a singular fire zone with a total usable area of 6280 m2.The technological area includes production facilities,storage depots of raw materials,packages and finished products,as well as cold stores and a number of auxiliary function rooms.In the second(having two stories)part of the building some social rooms,administrative areas and offices are localized.The total height of the building(at the highest point)does not exceed 10.5 m.Due to the Polish regulations the parameters determining the fire-related requirements of individual structural elements of the building(especially in terms of their fire resistance)are the surface area,the average value of the fire-load density and the presence of the risk of possible explosion.The building was designed based on the assumption that the average fire-load density does not exceed the level of 1000 MJ/m2.The analysis and calculations carried out during the exploitation phase of the building confirmed the compatibility with the assumptions adopted,but the actual volume,estimated at the level of 974 MJ/m2 proved to be very close to the limit value.Exceeding of the limit value of 1000 MJ/m2-due to provisions given in a state regulations-would automatically double the formal requirements for the resistance of the structural elements from R30 to R60.When assessing the real risk,especially in case of the large-surface-area buildings with varying ways of use of the premises,the average values of fire-load density may not properly reflect the real threat of fire.This is confirmed in the present facility,where in approximately 47%of the total area of the building the fire-load density doesn’t exceed 100 MJ/m2.Surfaces for which the fire load density exceeds 4000 MJ/m2(in extreme cases,it’s 5644 MJ/m2)represent only about 11%of the total area.It is worth mentioning that the fire-load density exceeding 4000 MJ/m2 due to the national regulations and codes of design would increase the criterion of structural resistance to R240.A completely separate issue is the fact that the oldest part of the building was completed in violation of some basic technical and construction requirements,so that the structure of this part of the building currently does not meet any criteria for fire resistance.This prompted the owner to implement some solutions that will not only lead the property to become fully consistent with the state regulations but also raise the level of security over the required standards,especially in the areas particularly vulnerable to fire.Presented case study shows that the adopted method of determining the requirements for fire resistance,especially based on the average value of fire-load density,in selected cases can lead to significant underestimations and result in incorrect assessment of a building fire safety.

复杂城市低空无人机安全风险评估与三维路径规划

针对复杂城市环境内低空无人机飞行安全与效率亟待提升的问题,提出了复杂城市低空无人机安全风险评估与三维路径规划方法。首先,设计了无人机越界冲突率、缓冲空域占比指标,建立了无人机地理围栏安全缓冲间距优化模型,对最佳缓冲间距和栅格粒度进行了标定;然后,构建了由人口密度层、遮蔽层和障碍层构成的无人机风险地图,建立了弹道下降和失控滑行两种模式下的无人机对地风险评估模型,生成了精细化、组合化的城市低空概率风险地图;最后,综合利用地理围栏、概率风险地图和跳点搜索算法,对无人机三维路径进行了初始规划和优化重构。结果表明:弹道下降模式的伤亡风险是失控滑行下降模式的5~75倍;与A*算法相比,跳点搜索算法有效减少了飞行路径的转弯数量,缩短了求解时长,更适合规划无人机飞行路径;与不采用风险地图的方法相比,基于风险地图的无人机路径规划减少了50%的较高风险节点,相应的路径长度仅增加了7.2%和11.4%,整体路径节点的伤亡风险明显降低。研究成果可为复杂城市低空无人机飞行计划制定及安全运行监管提供理论依据和方法支撑。

Assessment of the Safety Impacts of a Pit Construction on the Neighboring Subway

In order to study the impact of pit excavation on the adjacent existing subway structure,the safety impact assessment of a project was carried out using project under construction near the subway as the engineering background.The results show that the new pit construction will produce some additional deformation on the existing subway interval structure,the deformation values are within the permissible range for safe operation.Through analysis of the results,the risk point rating of the pit adjacent to the interval is level 2.In general,the impacts of the pit construction on the neighboring subway structure are less than the specification limits.

行政法视角下的食品安全风险监测与评估

我国已经初步建立了食品安全风险监测与评估相关的法律制度,国家食品安全风险监测网也已经建成。该法律制度属于行政法范畴,具有行政法的属性。从行政法的视角分析,现行风险监测与评估机制在信息共享、风险预警、联合执法等方面还存在一些问题。为能够更好地保障食品安全,应该重构风险监测与评估法律制度,强化风险意识,改进程序设定,不断完善监测网络,促进食品安全风险监测和食品安全监督抽检系统并轨。科学高效的风险监测与评估有利于及时发现食品安全风险,引导制定食品安全标准,帮助监管部门对于食品安全进行分级管理,从而进一步规范我国的食品市场秩序,为人们提供放心满意的食品。

低空空域无人机运行安全保障技术研究综述

低空空域飞行活动日趋频繁,无人机类型多样且性能差异较大,飞行过程中易与建筑物或其他航空器发生飞行冲突。为实现低空空域的规范化、安全化、精细化和智慧化管控,需不断提升保障无人机运行安全的技术手段,例如冲突风险探测、安全风险评估等。文章从无人机的轨迹预测与意图识别、低空空域飞行冲突探测、低空空域风险评估及预警告警等3方面进行了研究。首先,总结了在无人机轨迹预测和意图识别方面的研究成果和面临的问题挑战;其次,基于低空空域冲突探测形式,分析不同探测方法的优缺点;随后,围绕低空空域风险评估及预警告警技术,分析当前研究需要解决的核心问题;最后,对无人机冲突探测和风险评估技术等方面进行了展望。

长距离调水工程安全风险综合评估

以某跨流域、跨多省市的长距离调水工程为例,分析工程安全面临的各类风险事件,确定两座节制闸之间的运行调度渠段为风险评估单元,发展基于层次分析法的风险综合评估模型;以一梁式输水渡槽为例,阐释建筑物风险因子识别、风险事件分析和风险等级标准划分的方法,描述风险评估过程;以该渡槽所在的运行调度渠段为评估单元,采用层次分析法进行风险综合评估;在此基础上,对其余运行调度渠段进行风险综合评估,讨论造成较大风险的主要原因。结果表明:提出的方法辨识出了较大风险的运行调度渠段,造成运行调度渠段工程安全风险综合评估结果为较大风险的因素可归结为左岸水库溃坝或超调水工程防洪标准泄洪导致的风险、交叉河道过流能力不足风险以及左排下游通道排水不畅风险等,进而有针对性地提出了风险管控措施。研究结果可为类似长距离调水工程安全风险综合评估和管控提供参考。

铁路隧道施工安全风险评估及趋势分析研究

为解决铁路隧道施工安全风险等级评定和趋势分析的问题,基于工程资料和相关文献,应用层次全息建模(Hierarchical Holographic Modeling,HHM)理论从自然环境、地质条件、施工技术、施工管理四个维度开展铁路隧道施工安全风险因素辨识工作。以相关技术规范为依据,结合专家经验构建铁路隧道安全风险评估指标体系。选用G1法、改进基于指标间相关性分析的权重确定法(Criteria Importance Through Intercriteria Correlation,CRITIC)、最小二乘法测算评估指标权重,运用集对分析理论建立铁路隧道施工安全风险评估模型,遵循级别特征值判别规则评定安全风险等级,基于偏联系数理论分析安全风险发展趋势,并成功应用于D隧道的安全风险等级评定和趋势分析,验证了评估方法的可行性和科学性,为铁路隧道施工安全风险评估提供了一种新方法,为铁路隧道施工安全风险管控提供理论支撑。