Prioritizing real estate enterprises based on credit risk assessment:an integrated multi‑criteria group decision support framework

Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness.In the context of real estate enterprises,credit risk assessment provides a basis for banks and other financial institutions to choose suitable investment objects.Additionally,it encourages real estate enterprises to abide by market norms and provide reliable information for the standardized management of the real estate industry.However,Chinese real estate companies are hesitant to disclose their actual operating data due to privacy concerns,making subjective evalu-ation approaches inevitable,occupying important roles in accomplishing Chinese real estate enterprise credit risk assessment tasks.To improve the normative and reliability of credit risk assessment for Chinese real estate enterprises,this study proposes an integrated multi-criteria group decision-making approach.First,a credit risk assessment index for Chinese real estate enterprises is established.Then,the proposed framework combines proportional hesitant fuzzy linguistic term sets and preference ranking organization method for enrichment evaluation II methods.This approach is suitable for processing large amounts of data with high uncertainty,which is often the case in credit risk assessment tasks of Chinese real estate enterprises involving massive subjec-tive evaluation information.Finally,the proposed model is validated through a case study accompanied by sensitivity and comparative analyses to verify its rationality and feasibility.This study contributes to the research on credit assessment for Chinese real estate enterprises and provides a revised paradigm for real estate enterprise credit risk assessment.

SRDAAR－QNPP：a computer code system for the real－time dose assessment of an accident release for Qinshan Nuclear Power Plant

The paper presents a computer code system 'SRDAAR- QNPP' for the real-time dose as-sessment of an accident release for Qinshan Nuclear Power Plant. It includes three parts:thereal-time data acquisition system, assessment computer. and the assessment operating code system. InSRDAAR-QNPP, the wind field of the surface and the lower levels are determined hourly by using amass consistent three-dimension diasnosis model with the topographic following coordinate system.A Lagrangin Puff model under changing meteorological condition is adopted for atmosphericdispersion, the correction for dry and wet depositions. physical decay and partial plume penetrationof the top inversion and the deviation of plume axis caused by complex terrain have been taken in-to account. The calculation domain areas include three square grid areas with the sideline 10 km, 40krn and 160 km and a grid interval 0.5 km, 2.0 km, 8.0 km respectively. Three exposure pathwaysare taken into account:the external exposure from immersion cloud and passing puff, the internalexposure from inhalation and the external exposure from contaminated ground. This system is ableto provide the results of concentration and dose distributions within 10 minutes after the data havebeen inputed.

Real-time Assessment of Cytosolic, Mitochondrial, and Nuclear Calcium Levels Change in Rat Pheochromocytoma Cells during Pulsed Microwave Exposure Using a Genetically Encoded Calcium Indicator

Little information is available about the effects of exposure to pulsed microwaves on neuronal Ca^2＋ signaling under non-thermal conditions. In this study, rat pheochromocytoma （PC12） cells were exposed to pulsed microwaves for 6 min at a specific absorption rate （SAR） of 4 W/kg to assess possible real-time effects. During microwave exposure, free calcium dynamics in the cytosol, mitochondria, and nucleus of cells were monitored by time-lapse microfluorimetry using a genetically encoded calcium indicator （ratiometric-pericam, ratiometric-10ericam-mt,

Cyber Resilience through Real-Time Threat Analysis in Information Security

This paper examines how cybersecurity is developing and how it relates to more conventional information security. Although information security and cyber security are sometimes used synonymously, this study contends that they are not the same. The concept of cyber security is explored, which goes beyond protecting information resources to include a wider variety of assets, including people [1]. Protecting information assets is the main goal of traditional information security, with consideration to the human element and how people fit into the security process. On the other hand, cyber security adds a new level of complexity, as people might unintentionally contribute to or become targets of cyberattacks. This aspect presents moral questions since it is becoming more widely accepted that society has a duty to protect weaker members of society, including children [1]. The study emphasizes how important cyber security is on a larger scale, with many countries creating plans and laws to counteract cyberattacks. Nevertheless, a lot of these sources frequently neglect to define the differences or the relationship between information security and cyber security [1]. The paper focus on differentiating between cybersecurity and information security on a larger scale. The study also highlights other areas of cybersecurity which includes defending people, social norms, and vital infrastructure from threats that arise from online in addition to information and technology protection. It contends that ethical issues and the human factor are becoming more and more important in protecting assets in the digital age, and that cyber security is a paradigm shift in this regard [1].

The recirculation flow after different cross-section shaped high-rise buildings with applications to ventilation assessment and drag parameterization

The building cross-section shape significantly affects the flow characteristics around buildings,especially the recirculation region behind the high-rise building.Eight generic building shapes including square,triangle,octagon,T-shaped,cross-shaped,#-shaped,H-shaped and L-shaped are examined to elucidate their effects on the flow patterns,recirculation length L and areas A using computational fluid dynamics(CFD)simulations with Reynolds-averaged Navier-Stokes(RANS)approach.The sizes and positions of the vortexes behind the buildings are found to be substantially affected by the building shapes and subsequently changing the recirculation flows.The recirculation length L is in the range of 1.6b-2.6b with an average of 2b.The maximum L is found for L-shaped building(2.6b)while the shortest behind octagon building(1.6b).The vertical recirculation area Av is in the range of 1.5b^(2)-3.2b^(2)and horizontal area Ah in 0.9b^(2)-2.2b^(2).The L,Av and Ah generally increase with increasing approaching frontal area when the wind direction changes but subject to the dent structures of the#-shaped and cross-shaped buildings.The area-averaged wind velocity ratio(AVR),which is proposed to assess the ventilation performance,is in the range of 0.05 and 0.14,which is around a three-fold difference among the different building shapes.The drag coefficient parameterized by Ah varies significantly,suggesting that previous models without accounting for building shape effect could result in large uncertainty in the drag predictions.These findings provide important reference for improving pedestrian wind environment and shed some light on refining the urban canopy parameterization by considering the building shape effect.

生猪生长环境舒适度实时监测系统设计与实现

为了提高猪舍环境舒适度评价的准确性,克服猪舍多环境因子相互耦合,避免采用单一环境因子评价猪舍内环境质量状况不准确问题。本研究根据猪舍环境养殖标准,构建了猪舍舒适度评价指标体系和权重,建立了温度、湿度、风速、CO_(2)、NH_(3)和H_(2)S各环境因子的隶属度函数,提出了基于层次分析-模糊理论的猪舍多环境因子综合评价方法,搭建了生猪生长环境舒适度实时监测系统。以育肥猪舍环境监测的24组数据为例对本文提出的猪舍舒适度模糊综合评价方法进行验证。结果表明,该系统建立的猪舍多环境因子舒适度模糊综合评价方法能准确反映猪舍空气质量状况,可为猪舍环境精准调控提供科学决策依据,具有一定的应用价值。

窄带成像放大内镜分级系统在慢性萎缩性胃炎实时诊断及危险分层中的价值研究

目的探讨窄带成像放大内镜(narrow band imaging magnification endoscopy,NBI-ME)分级系统在慢性萎缩性胃炎(chronic atrophic gastritis,CAG)实时诊断及危险分层中的价值。方法收集40岁以上接受NBI-ME检查患者的内镜和病理资料,评估NBI-ME分级系统和组织病理学金标准—OLGA/OLGIM(operative link for gastritis assessment/operative link for gastric intestinal metaplasia assessment)分期系统的相关性及一致性。结果共纳入63例患者,男41例,女22例,胃窦和胃体部的NBI-ME评分和组织学评分的一致性均为73.0%,总体一致性显著(Kappa=0.695,P<0.05;加权Kappa=0.907,P<0.05),其中胃窦的一致性良好(Kappa=0.604,P<0.05),胃体的一致性中等(Kappa=0.487,P<0.05);Cochran-Mantel-Haenszel分析表明,高危NBI-ME分级(Ⅱ~Ⅳ级)的患者诊断为高危OLGA/OLGIM分期的可能性更高(P<0.0001),NBI-ME分级诊断高危CAG/GIM的敏感性为81.8%(95%CI:59.7%~94.8%),特异性为95.1%(95%CI:83.5%~99.4%)。结论NBI-ME评分与组织病理学评分具有较高一致性,它是一种简便、经济并实时诊断CAG及识别胃癌高危人群的检查及随访方式。

基于多源信息融合的巡飞弹对地目标识别与毁伤评估

面向利用多枚巡飞弹对地面高防御移动目标进行打击的任务场景,提出一种基于多源信息融合的巡飞弹对地移动目标识别与毁伤评估方法。基于IoU判定实现红外图像与可见光图像的多源信息融合;提出一种基于YOLO-VGGNet的两阶段紧耦合的巡飞弹对地移动目标毁伤评估方法,利用卷积神经网络深度语义信息提取的优势,引入红外毁伤信息,实现对地面移动目标的在线实时毁伤评估。。实验结果表明:基于多源信息融合的目标识别算法有效提升了巡飞弹对地面移动目标识别的有效性;基于YOLO-VGGNet的在线实时毁伤等级评估方法较传统基于图像变化检测与基于两阶段卷积神经网络的方法评估准确率分别提升19%和10.25%。

安全大数据驱动的核电厂实时概率安全分析研究现状与发展前景

概率安全分析(PSA)是保障核电厂安全运行的关键方法之一,现有PSA方法多依靠有限的数据和专家经验开展静态的安全风险量化,难以精确反映核电厂运行阶段真实动态风险。核电厂运行过程中已实时收集并存储了大量可用来记录和描述系统安全状态的安全大数据,其信息提取和PSA融合需求迫切,本文对安全大数据在核电厂安全保障中的地位进行介绍,并分析总结安全大数据驱动的核电厂实时概率安全分析研究现状和发展前景。结果表明:安全大数据的应用有助于全面分析核电厂实时运行风险,将由安全大数据转换而来的安全信息与现有概率安全分析方法有机融合以实现准确可信的核电厂实时安全分析是未来重要方向。

网络安全风险评估方法研究综述

网络安全风险评估是构建网络空间安全体系的重要环节,可以有效保护个人和组织机构避免受到网络安全攻击。文中简要概述了网络安全风险评估理论,重点介绍了目前主流的网络安全风险评估方法,并根据不同的方法性质对现有方法进行分类和对比,分析了各方法的优缺点以及适用范围。在此基础上,文中归纳提取出对网络安全评估结果产生影响的因素并对网络安全评估领域未来的研究重点进行提议。分析结果表明,关联性和评估指标的不确定性以及评估过程的实时性这3个因素是影响风险评估效果的主要因素,并给未来的风险评估方法研究提供了参考依据。

基于深层级联残差图卷积的暂态稳定评估模型及其实际电网应用

目前,数据驱动的暂态功角稳定评估模型的研究和测试主要在小规模算例系统进行,在实际电网的应用检验不足,其内在原因是图深度学习中的局部信息提取特点与功角稳定全局性的矛盾尚未解决。为此,设计一种深层级联残差图卷积模型,利用含残差连接的深层级联结构,实现模型层数堆叠性能的有效提升。利用MinMaxPooling模块,使模型参数与系统规模解耦。该模型结构设计与节点数量无关,可以解决数据驱动模型应用于大规模实际电网的问题。在某5419个节点的实际区域电网进行测试,结果验证了所提模型的有效性和实用性。

基于数-物模型混合交互反馈的结构近实时震害评估理论框架

科学合理的结构震害评估对于提升城市抗震韧性与运维智慧具有重要意义。针对韧性城市构建现阶段的实际需求与重要难题,面向“全域、动态、实时”的结构震害评估新范式,以基于数模的多模态特征融合和基于物模的多层次数值仿真模拟为理论架构的两大基本要素,依托深度学习、数字孪生、数物融合等新技术,提出了基于数-物模型混合交互反馈的结构近实时震害评估理论框架,并对该框架中的主要研究内容与关键科学问题进行了详细阐述。所提出的理论架构有望提升结构震害评估的实时性与智能性,助力推进韧性城市构建以及城市系统的智慧运维。

基于迁移学习的嵌入式实时系统缺陷研究

为了减少环境变化对软件缺陷评估的影响,提出了一种基于迁移学习的嵌入式实时控制系统软件缺陷评估方法。首先,选择缺陷软件测量指标;在此基础上,利用特征聚类技术将相关的索引特征划分为同一个聚类;然后,根据两项间特征的分布相似性,找到相关特征,去除分布差异较大的特征;最后,从源项目中选择高质量的特征,构建训练数据集,通过权重调整,从源项目中选择更好的评价数据,实现对软件缺陷的准确评价。映射结果目标明确,设计方法的评价结果的错误率在8.7%以内,具有良好的评价效果。

虚实结合的职业技能测评在人体运动学教学效果中的探索

通过职业技能测评构建及内容的设计,对学生学习效果进行有效评价,切实提升康复治疗学专业医学生社会竞争能力,更加注重医学生康复实践技能培养,以期为康复治疗学专业学生形成有效测评模式在人体运动学教学中的实施提供参照。当前,医学生实践技能培养存在的主要问题主要体现为意识不足、课程设置不合理及氛围不够三个方面,借鉴国际医学教育组织医学生培养观点,从切实提升对实践技能的重视程度,树立以学生为中心的培养理念,创新教学方法,开展丰富多彩的实践技能培训活动,注重对新技术的应用,提出“虚实结合”构建医学生康复实践职业技能培养体系。

堰塞湖风险处置研究现状与展望

科学认知堰塞湖基本特征、高效评估堰塞湖风险以及提升堰塞湖应急处置技术是缓和堰塞湖威胁和降低堰塞湖灾损的关键。从堰塞湖分布、成因、蓄水库容、生命周期以及堰塞湖灾害特点等方面系统分析了堰塞湖基本特征,从定性、定量以及灾害链角度系统总结了堰塞湖危险性评估方法,并结合堰塞湖溃决机理系统分析当前堰塞湖溃决应急监测困境、引流槽除险技术水平和疏通开挖机械设备现状。基于当前研究的局限性,凝炼堰塞湖应急处置研究未来应重点关注的5个问题:①堰塞体堆积形态分区机制;②强非恒定流输沙理论;③大尺度堰塞湖溃决模型试验;④堰塞湖应急处置专用机械设备研制;⑤堰塞湖溃决洪峰动态追踪。研究成果可为高风险堰塞湖风险评估、应急处置及区域防灾减灾规划提供有益参考。

数字化实时评估系统在前牙牙体预备教学中的应用效果分析

目的 对比分析数字化实时评估系统与传统教学在前牙牙体预备教学中的应用效果。方法 选取2021年9月—2021年1月沈阳医学院40名2018级的五年制临床口腔本科大四下学期在读的学生为研究对象。以随机数字表法将学生分为观察组和对照组,各20名。对照组学生采用传统教学方式,观察组学生采用迪凯尔数字化实时评估系统的教学方式。比较两组的牙体预备质量等级评分以及提问次数。结果 观察组切端预备量、唇面预备量、舌面预备量、轴面光滑度的优良率均高于对照组学生,差异有统计学意义(P <0.05)。结论 在前牙牙体预备教学中的应用数字化实时评估系统可以明显提高临床前学生牙体预备的教学效果,加快学生对牙体预备的掌握速度。

基于空间计量模型的房地产价值评估研究综述

文章通过梳理国内外房地产价值评估中的空间计量模型的相关文献,总结了空间计量模型在房地产价值评估中的起源、国外对空间计量模型的理论和实证研究以及国内在空间计量模型上的研究现状等。通过文献梳理发现,国外房地产市场起步早,相应的理论都比较完善,但我国在空间计量模型的研究上已经比较贴切国内市场,在空间计量模型运用上也取得了一定成果。最后总结出我国实证研究尚存在问题,未来可能有需要改进的空间。

燃气轮机控制系统的实时监测与故障诊断方法研究

燃气轮机控制系统的可靠性和安全性对于电力系统的稳定运行至关重要。传统的定期检修和事后诊断方法难以满足燃气轮机日益复杂的控制需求,为此提出一种面向燃气轮机控制系统的实时监测与故障诊断方法。该方法综合利用数据采集、特征提取、状态评估和智能诊断等技术,全面监测和快速诊断燃气轮机控制系统。通过搭建实验平台,设计典型工况和故障场景,全面评估系统性能。实验结果表明,该方法能够准确识别燃气轮机控制系统的运行状态,及时发现和定位潜在故障,诊断精度高、响应速度快,为燃气轮机控制系统的安全运行提供了有力保障。

运营期盾构隧道结构健康安全评估方法研究

对隧道的健康状态进行安全评估,是确保隧道运营期安全平稳运行的关键。传统人工巡检记录的数据多以定性为主,且较为浅显,使得传统评价模型无法准确实时地评估隧道的健康状态,结合盾构隧道结构健康监测系统的实时数据对隧道进行安全评估则可克服这一问题。针对盾构隧道结构健康监测中常见传感器的布设形式,提出一种适用于盾构隧道安全评估的模糊综合评价模型,将该模型录入济南黄河隧道健康监测系统,实现对隧道西线后半段整体、各监测断面、不同监测部位的实时安全评估,通过对各级健康评价值的分析,确定控制盾构隧道健康状态的区域位于隧道最深覆土区域的拱顶处,在隧道运营过程中需对该区域加以重视。