Network Defense Decision-Making Based on Deep Reinforcement Learning and Dynamic Game Theory

Existing researches on cyber attackdefense analysis have typically adopted stochastic game theory to model the problem for solutions,but the assumption of complete rationality is used in modeling,ignoring the information opacity in practical attack and defense scenarios,and the model and method lack accuracy.To such problem,we investigate network defense policy methods under finite rationality constraints and propose network defense policy selection algorithm based on deep reinforcement learning.Based on graph theoretical methods,we transform the decision-making problem into a path optimization problem,and use a compression method based on service node to map the network state.On this basis,we improve the A3C algorithm and design the DefenseA3C defense policy selection algorithm with online learning capability.The experimental results show that the model and method proposed in this paper can stably converge to a better network state after training,which is faster and more stable than the original A3C algorithm.Compared with the existing typical approaches,Defense-A3C is verified its advancement.

Detection of ARV-Resistant Mutants in HIV-1-Infected Individuals in a Context of Systematic Switching to an Association Based on Dolutegravir in Abidjan, Côte d’Ivoire

The emergence of antiretroviral resistance mutations represents a major threat to the achievement of national and global goals for the elimination of HIV-1 infection. The global strategy in 2019 in Cte d'Ivoire is a new national policy for the management of people living with HIV with the administration of dolutegravir (DTG)-based fixed-dose combination. The aim of our study was to evaluate HIV-1 resistance to antiretrovirals (ARVs) in infected adult subjects in Cte d’Ivoire in the context of a systematic switch to a DTG-based combination. Between February 2022 and October 2023, a cross-sectional survey with random sampling was conducted in 06 services caring for people living with HIV. A total of 139 participants were included in the study. Adults with a viral load ≥ 1000 copies/mL were tested for HIV-1 ARV resistance mutations. Molecular analyses were performed using protocol of ANRS-MIE (National Agency for Research on AIDS and emerging infectious diseases). The interpretation is performed by HIVGRAD (https://www.hiv-grade.de/cms/grade/). The frequencies of HIV-1 resistance to non-nucleotide reverse transcriptase inhibitors (NNRTIs), nucleotide reverse transcriptase inhibitors (NRTIs), integrase inhibitors (IINTs) and protease inhibitors (PIs) were 82%, 73%, 19% and 11% respectively. The main mutations observed in the different classes were K103N (45%), M184V (64%), E157Q (19%) and L10V/M46I/A71V/I54V (6%) respectively. This study reveals the emergence of resistance to DTG-based fixed-dose combinations, favored by high rates of resistance to NRTIs and NNRTIs. This finding underlines the need for enhanced viral load monitoring and HIV-1 genotyping tests to guide the choice of NRTIs for combination therapy. In addition, monitoring for mutations to second-generation NRTIs is essential, given the scale-up of DTG-based regimens currently underway in Cte d’Ivoire.

Innovative Teaching Research on Literary Theory and Criticism

As a core compulsory course for English majors majoring in teacher education,Literary Theory and Criticism plays an important role in enhancing text understanding,cultivating critical thinking,and shaping correct values in the future development of students.Influenced by traditional teaching ideas,students have many difficulties when learning this course,such as insufficient theoretical understanding,inadequate ability improvement,and not enough investment in course learning.In response to the above issues,this course focuses closely on the fundamental task of“cultivating virtue and nurturing people”,relying on modern information technology and introducing research methods of digital humanities.This course uses“7C”teaching mode under the“three-level integration”,in which“teaching”and“education”are carried out synchronously,and“teacher”and“student”are developed together,in order to greatly enhance students’learning participation and course satisfaction.

The construction and practice of humanistic care teaching model based on 5C care theory

Objective:To construct a scientific and feasible teaching mode based on 5C caring theory and evaluate it,so as to provide a reference basis for future study about nursing humanistic quality education.Methods:Based on the 5C caring theory,the teaching design and teaching content were revising and implementing in the intervention group.Before and after the implementation of the course,a questionnaire survey was conducted using the Caring Ability Inventory(CAI).The results of the surveys were collected,and the data were statistically analysis using SPSS.Results:After the implementation of the course,the cognitive dimension,patience dimension,and humanistic caring ability scores of the nursing students in the intervention group improved compared with those before the implementation of the course(P<0.05).There were no significant difference in the control group(P>0.05).Conclusion:The humanistic caring teaching model based on 5C caring theory has a positive effect on improving nursing students'humanistic caring ability.In the future nursing teaching,the modules with the characteristics of humanistic caring ability can be increased,and carry out the educational reform throughout the humanistic caring ability.Actively guiding nursing students to establish the awareness of humanistic caring,so as to lay a solid foundation for high-quality clinical nursing work.

Sequential Analysis in the Identification of 3rd Order System Tract in the Abidjan Margin

The use of sequential stratigraphy concept, based on well logs, sedimentology, and biostratigraphy, has shed light on the complex mechanisms controlling sedimentary accumulations. Consequently, identifying these mechanisms allows us to predict the hydrocarbon generation potential of source rocks. In the Ivorian offshore sedimentary basin, certain studies have contributed to understanding and characterizing the petroleum system. However, these previous works did not integrate biostratigraphic data to highlight sedimentary facies. This study, conducted on two wells in the Abidjan margin, is crucial as it helps us comprehend the geometry of fossil sediments in relation to sea level variations. It will also aid in reconstructing the basin-filling history and predicting the distribution of rocks capable of trapping oil, determining lowstand systems tracts (reservoir rocks), transgressive systems tracts, and highstand systems tracts (cap rocks). Lithological analysis revealed predominantly clayey sedimentation with sandy layers. Well log data facilitated the delineation of formation boundaries and highlighted reservoirs consisting of sands, sandstones, limestones, and occasionally intercalated shales. Integrating these analysis results with biostratigraphic interpretations based on foraminifera and palynomorphs revealed that the traversed formations were deposited in a transitional environment ranging from Coniacian to Maastrichtian ages. Applying sequential stratigraphy concept from well logging resolved dating issues encountered in microfossil-poor or microfossil-free zones. The results of the Coniacian-Maastrichtian age sequential subdivision were aligned with the chart.

Resource Allocation in D2D-Aided High-Speed Railway Wireless Communication Systems： A Matching Theory Approach

With the rapid deployment of high speed railway(HSR) worldwide,both safety operation and comfort experience can be desired to evolve into a future era of intelligent transportation system.To eliminate boredom and provide entertainment for passengers,an intranet for internal communications among passengers named as onboard social network system(SNS) is needed.In this paper,the latest progress in HSR network architectures and technology building blocks are discussed to enable the implementation of the SNS.Meanwhile,based on the device-to-device(D2 D) communication technology for proximal information interaction,SNS can be efficiently facilitated.A dynamic resource allocation algorithm is proposed to maximize the total utility of the onboard SNS,which is solved with the matching theory method.Simulation results verify the convergence and efficiency of the proposed algorithm.

Fault Isolation of Light Rail Vehicle Suspension System Based on D-S Evidence Theory and Improvement Application Case

This paper presents an innovative approach for the fault isolation of Light Rail Vehicle (LRV) suspension system based on the Dempster-Shafer (D-S) evidence theory and its improvement application case. The considered LRV has three rolling stocks and each one equips three sensors for monitoring the suspension system. A Kalman filter is applied to generate the residuals for fault diagnosis. For the purpose of fault isolation, a fault feature database is built in advance. The Eros and the norm distance between the fault feature of the new occurred fault and the one in the feature database are applied to measure the similarity of the feature which is the basis for the basic belief assignment to the fault, respectively. After the basic belief assignments are obtained, they are fused by using the D-S evidence theory. The fusion of the basic belief assignments increases the isolation accuracy significantly. The efficiency of the proposed method is demonstrated by two case studies.

桂东北D/C界线沉积特征及对台盆相间演化的启示

台盆相间是桂东北泥盆纪和石炭纪沉积的重要特色,而D/C界线又是台盆相间沉积最突出的一个时段之一。文章回顾并评述了桂东北D/C界线的研究历程、相序划分、主要代表剖面,认为桂东北D/C界线可划分为碎屑岩相序和碳酸盐岩相序以及它们的过渡类型。通过对20条典型剖面的岩性组合特征对比,恢复了桂东北D/C界线海平面相对下降期的岩相古地理,结果显示桂东北在该时期主要存在柳州、桂林两大台地以及多个小型台地,台地间普遍发育快速相变的台沟、盆地沉积,石炭纪初期海水变浅,台地分布范围显著扩大,江南古陆供给增强,台盆相间格局迅速发展。为了进一步探讨桂东北D/C界线的演化过程和背后的控制因素,文章分析了广西整体的台盆相间演化的阶段性、同沉积构造作用以及海平面变化的影响,梳理了台盆相间演化过程中沉积环境分异与构造运动-海平面的关系,认为在滇黔桂裂谷盆地在持续断陷发展的前提下,桂东北D/C界线沉积分异的主要原因可能是受冈瓦纳大陆冰川形成与消融导致的海平面异常波动,以及柳江运动引发的局部同沉积断陷强度差异变动影响,且构造和沉积要素在D/C界线的耦合作用达到最强,最终促进桂东北台盆相间格局在D/C界线达到鼎盛。在此模式下,可以将台盆相间的演化划分为4个阶段,早泥盆世中期—晚期为台盆相间格局的孕育期,早泥盆世晚期—中泥盆世晚期沉积开始分异,为台盆相间格局的发展期,晩泥盆世—早石炭世台-盆出现强烈分割,海平面异常下降和柳江运动同时作用于沉积,为台盆相间格局的鼎盛期,早石炭世之后,台盆相间沉积维持了一定时期的强度,晚石炭世开始海水逐步恢复正常后台盆相间逐渐减弱,为台盆相间格局的衰退期。

2型糖尿病患者血清25-羟维生素D水平与代谢指标的相关性

目的分析2型糖尿病患者25-羟维生素D[25(OH)D]水平,初步了解血清25(OH)D水平与2型糖尿病患者糖化血红蛋白(HbA1c)、胰岛功能等代谢指标的相关性。方法选择新乡市第一人民医院内分泌科2020年1月至2020年12月收治的459例2型糖尿病患者为研究对象。收集患者的临床资料,包括性别、年龄、血清25(OH)D、空腹胰岛素、C肽、HbA1c、空腹血糖、餐后血糖、尿微量白蛋白、尿白蛋白肌酐比值、血钙、血尿酸(UA)、三酰甘油(TG)、总胆固醇(TCH)、低密度脂蛋白(LDL)、高密度脂蛋白(HDL)等。根据血清25(OH)D水平将患者分为充足组[n=20,25(OH)D≥30μg·L^(-1)]、不足组[n=95,20μg·L^(-1)≤25(OH)D<30μg·L^(-1)]、缺乏组[n=231,10μg·L^(-1)≤25(OH)D<20μg·L^(-1)]、严重缺乏组[n=113,25(OH)D<10μg·L^(-1)]。比较4组患者各代谢指标的差异,采用Pearson相关分析25(OH)D与各代谢指标的相关性。结果2型糖尿病患者血清25(OH)D水平为3.00~46.59(15.75±0.35)μg·L^(-1),男性患者的血清25(OH)D水平显著高于女性患者(P<0.05)。2型糖尿病患者25(OH)D缺乏的患病率为74.9%(344/459),25(OH)D缺乏主要发生在1、2、3、4、11、12月份。不足组、缺乏组和严重缺乏组患者HbA1c显著高于充足组(P<0.05),缺乏组和严重缺乏组患者HbA1c显著高于不足组(P<0.05);缺乏组和严重缺乏组患者HbA1c比较差异无统计学意义(P>0.05)。充足组与不足组、缺乏组与严重缺乏组患者空腹血糖比较差异无统计学意义(P>0.05);缺乏组和严重缺乏组患者空腹血糖显著高于充足组、不足组(P<0.05)。充足组、不足组、缺乏组患者空腹胰岛素、尿微量白蛋白、日尿白蛋白总量、尿白蛋白肌酐比值比较差异无统计学意义(P>0.05);严重缺乏组患者空腹胰岛素显著低于充足组、不足组和缺乏组,尿微量白蛋白、日尿白蛋白总量、尿白蛋白肌酐比值显著高于充足组、不足组和缺乏组(P<0.05)。4组患者的稳态模型评估的胰岛素抵抗指数(HOMA-IR)、血清白蛋白、血肌酐、餐后1 h血糖、餐后2 h血糖、餐后3 h血糖、空腹C肽、餐后1 h C肽、餐后2 h C肽、餐后3 h C肽、TG、TCH、LDL、HDL、血UA、血钙比较差异均无统计学意义(P>0.05)。Pearson相关性分析结果显示,2型糖尿病患者血清25(OH)D水平与HbA1c、尿微量白蛋白、尿白蛋白肌酐比值呈负相关(r=-0.093、-0.166、-0.157,P<0.05),与空腹胰岛素呈正相关(r=0.089,P<0.05)。2型糖尿病患者血清25(OH)D水平与空腹血糖、HOMA-IR、血清白蛋白、血肌酐、餐后1 h血糖、餐后2 h血糖、餐后3 h血糖、空腹C肽、餐后1 h C肽、餐后2 h C肽、餐后3 h C肽、TG、TCH、LDL、HDL、血UA、血钙等无相关性(P>0.05)。结论2型糖尿病患者25(OH)D缺乏与不足普遍存在,女性患者缺乏更明显。2型糖尿病患者25(OH)D水平与空腹胰岛素呈正相关,与HbA1c、尿微量白蛋白、尿白蛋白肌酐比值呈负相关,25(OH)D缺乏的2型糖尿病患者主要分布在1、2、3、4、11、12月份。

基于D-S证据理论的岩爆预测方法研究

为了有效预测岩爆,提出基于D-S证据理论的岩爆预测方法.首先,选取与岩爆发生相关的6个指标因素作为证据体,并通过模糊物元框架和正态型隶属度函数构建证据体的基本概率分配.然后,利用K均值将证据体分类,并提出簇内证据用传统方式融合而簇间证据用权重方式融合的组合融合规则,以减轻高冲突证据融合的不利影响.最后,将模型应用在秦岭终南山公路隧道2号竖井工程,且与经验方法对比.为了分析预测过程的不确定性和估计岩爆发生概率,采用蒙特卡洛模拟进行抽样仿真,并通过Spearman秩相关系数衡量输入指标的全局敏感性.研究结果表明:输入指标在不同的岩爆案例的影响程度差异较大且方向不同;5个岩爆案例的发生概率在40.8%~70.1%之间.该模型表现出优异的预测分类性能,可为深埋地下工程岩爆预测提供参考.

基于多元数据的夏季鸡舍环境质量评价及其对产蛋性能的影响

蛋鸡舍环境质量直接影响蛋鸡产蛋性能。为探究夏季蛋鸡舍环境质量及其对产蛋性能的影响,研究提出基于多元数据的分析方法,首先采集鸡舍内7类关键环境因子数据,按照热环境、光环境和气体环境分组,再根据改进D-S证据理论规则进行迭代融合,得到蛋鸡舍各检测点环境质量的综合评价结果,进而分析其对产蛋性能的影响。以夏季八层层叠式蛋鸡舍为试验鸡舍开展试验。结果显示:八层层叠式蛋鸡舍下四层的环境质量和平均产蛋率的最优位置均处于鸡舍前端;平均产蛋率最差的位置处于鸡舍中端,该位置环境质量综合评价结果为一般;上四层平均产蛋率最优位置为鸡舍中端,该位置环境质量综合评价结果为适宜;平均产蛋率最差位置和环境质量最差位置均为鸡舍后端(靠近风机端)。在试验鸡舍所有检测点中,平均产蛋率高于86%的检测点,环境质量综合评价结果大都为适宜,平均产蛋率低于86%的检测点,环境质量综合评价结果为一般或差,鸡舍内各检测点环境质量综合评价结果与平均产蛋率的变化趋势高度一致。该研究为准确评价蛋鸡舍环境质量,揭示蛋鸡舍环境质量对产蛋性能的影响提供了一种行之有效的方法。

2型糖尿病患者维生素D水平与血清CRP、自身免疫抗体及甲状腺功能的相关性

目的研究2型糖尿病患者维生素D水平与血清C反应蛋白(CRP)、自身免疫抗体及甲状腺功能的相关性。方法选取2018年1月至2019年1月于信阳职业技术学院附属医院就诊的150例2型糖尿病患者为研究组,同期选取50例健康体检者作为对照组。检测血清CRP、血清25-羟维生素D[25(OH)D]、胰岛自身免疫抗体和甲状腺功能指标水平并比较两组差异;按血清25(OH)D水平将研究组分为正常组(34例)、不足组(37例)、缺乏组(39例)和严重缺乏组(40例)4个亚组,比较组间血清CRP、胰岛自身免疫抗体阳性率和甲状腺功能指标水平差异;对血清25(OH)D与CRP、胰岛自身免疫抗体阳性率及甲状腺功能指标水平的相关性进行Pearson和Spearman相关性分析;随访3 a,统计甲状腺功能障碍发生率,并绘制受试者工作特征(ROC)曲线分析2型糖尿病患者血清25(OH)D对甲状腺功能障碍的预测效能。结果与对照组比较,研究组血清25(OH)D、TSH水平较低,CRP水平和胰岛自身免疫抗体阳性率较高(P<0.05)。正常组、不足组、缺乏组和严重缺乏组的血清CRP、胰岛自身免疫抗体阳性率和TSH水平比较差异有统计学意义,其中血清CRP、TSH水平逐渐上升(P<0.05)。2型糖尿病患者血清25(OH)D水平与CRP(r=-0.714)、胰岛自身免疫抗体阳性率(r=-0.397)和TSH(r=-0.410)水平均呈负相关(P<0.001)。2型糖尿病患者甲状腺功能障碍发生率为25.33%(38/150),绘制ROC曲线分析血清25(OH)D预测甲状腺功能障碍发生的AUC为0.916。结论2型糖尿病患者血清维生素D与CRP、自身免疫抗体阳性率以及甲状腺功能指标水平存在负相关关系,且对甲状腺功能障碍的发生有一定预测价值。

D-二聚体与C反应蛋白对Stanford A型主动脉夹层动脉瘤患者术后远期预后的预测价值

目的分析D-二聚体(D-D)与C反应蛋白(CRP)在Stanford A型主动脉夹层动脉瘤(ADA)患者术后远期预后中的预测价值。方法选取76例胸痛患者为研究对象,所有患者均行心脏超声或主动脉CT血管成像检查,将45例Stanford A型ADA患者纳入观察组,均行手术治疗;非Stanford A型ADA的31例患者纳入对照组。对比2组发生胸痛72 h内的D-D与CRP水平。术后对观察组随访3年,按临床结局分成死亡组(n=10)与存活组(n=35),对比2组D-D与CRP水平;另绘制受试者工作曲线(ROC),分析D-D、CRP单独与联合预测Stanford A型ADA患者的远期预后临床价值。结果观察组的D-D[(1.31±0.35)mg/L]与CRP[(16.59±2.34)mg/L]水平高于对照组[(0.68±0.13)mg/L、(7.53±1.26)mg/L],差异有统计学意义(P<0.05);ADA患者中死亡组的D-D[(1.78±0.49)mg/L]与CRP[(30.46±4.77)mg/L]水平高于存活组[(1.03±0.26)mg/L、(13.59±2.36)mg/L],差异有统计学意义(P<0.05)。ROC结果显示,D-D与CRP联合检测预测Stanford A型ADA患者远期预后的曲线下面积(AUC)[0.909(95%CI:0.823~0.994)]高于D-D与CRP单独预测[0.806(95%CI:0.680~0.931)、0.840(95%CI:0.727~0.953)]。结论Stanford A型ADA患者血清内的D-D与CRP水平呈高表达,且表达水平越高,患者预后越差,两项指标联合可有效预测患者的远期预后,临床应用价值较高。

董事高管责任保险与企业社会责任:监督激励抑或机会主义

基于沪深A股上市公司2006—2020年的数据,考察董事高管责任保险对企业社会责任承担的影响效果及其作用机制。研究发现,引入董责险能够显著提升企业履行社会责任的意愿和水平;董责险引入的时间越长,企业履行社会责任的意愿和水平越高;投保董责险的责任限额越高,企业履行社会责任的意愿和水平也越高;上述结论在一系列稳健性检验和内生性处理之后依然成立。机制分析发现,董责险通过吸引具有海外经历背景的优秀人才加盟董事会而促进了企业社会责任承担。鉴于董责险已经成为当前资本市场的重要市场化治理工具,建议监管机构积极推广董责险,以此完善公司治理,督促上市公司积极履行社会责任.

新生儿GBS感染所致化脓性脑膜炎中血清维生素D和炎性细胞因子的表达及意义

目的检测新生儿B族链球菌(group B streptococcus,GBS)感染所致化脓性脑膜炎(purulent meningitis,PM)血清中维生素D、白细胞介素(interleukin,IL)-6、IL-10、肿瘤坏死因子-α(tumor necrosis factor-α,TNF-α)和C反应蛋白(c-reactive protein,CRP)的表达水平,并探讨其临床价值。方法选取2017年5月至2020年5月在秦皇岛市第一医院出生的59例GBS感染的PM新生儿纳入观察组,同期59例非GBS感染的PM新生儿(晚发败血症)纳入对照组。检测所有受试者血清维生素D、CRP、IL-6、IL-10和TNF-α水平,并进行Pearson相关性分析;利用受试者操作特征(receiver operating characteristic,ROC)曲线分析血清维生素D和炎性细胞因子对新生儿GBS感染所致PM的诊断价值。统计学方法采用t检验、χ^(2)检验和Pearson相关性分析。结果观察组与对照组孕产妇胎膜早破[47.5%(28/59)与5.1%(3/59),χ^(2)=27.345]、产时窒息[52.5%(31/59)与18.6%(11/59),χ^(2)=14.787]和产褥感染[(44.1%(26/59)与(22.0%(13/59)),χ^(2)=6.473]的发生率比较,观察组明显高于对照组(P<0.05)。观察组血清维生素D水平显著低于对照组[(13.3±2.1)μg/L与(21.1±5.0)μg/L,t=11.345],IL-6[(87.1±14.5)μg/L与(63.9±11.9)μg/L,t=9.507]、IL-10[(49.6±15.2)μg/L与(29.3±10.0)μg/L,t=8.596]、TNF-α[(76.8±19.0)μg/L与(50.0±10.8)μg/L,t=9.410]和CRP[(21.5±5.0)μg/L与(13.7±3.7)μg/L,t=9.702]水平显著高于对照组(P值均<0.05)。Pearson相关性分析结果显示,观察组血清维生素D水平分别与IL-6、IL-10、TNF-α和CRP水平呈负相关(r=-0.662、-0.644、-0.564、-0.643,P<0.05);血清维生素D、IL-6、IL-10、TNF-α和CRP单独诊断GBS感染新生儿PM的曲线下面积(area under the curve,AUC)分别为0.831(95%CI:0.757~0.904)、0.887(95%CI:0.830~0.944)、0.859(95%CI:0.793~0.925)、0.888(95%CI:0.821~0.955)、0.879(95%CI:0.820~0.938),5项联合检测的AUC为0.991(95%CI:0.978~1.000)。结论GBS感染所致的PM新生儿血清中维生素D水平降低,炎性细胞因子水平增加,对于GBS感染所致的PM具有一定的辅助诊断价值。

基于OBE理论的案例引导式C语言程序设计实验课程教学改革研究

为了突破C语言程序设计实验教学的难点,基于成果导向教育(OBE)理论对C语言程序设计实验课程进行了教学改革:通过实验教学的模式改革,加强实验教学的结果导向,突出实验教学的学生主体作用,完善实验教学的组织方式;通过引导案例的设计、引导案例与实验项目的耦合以及引导案例在实验教学中的应用,实现实验教学方法的改革与实验教学内容的更新。实践结果表明,C语言程序设计实验课程的教学改革,优化了实验课程的教学目标,强化了计算机程序设计类实验课程教学创新的理论基础,提高了实验课程的教学质量。

多模态数据融合的加工作业动态手势识别方法

为了解决单模态数据所提供的特征信息缺乏而导致的识别准确率难以提高、模型鲁棒性较低等问题,提出了面向人机交互的加工作业多模态数据融合动态手势识别策略。首先,采用C3D网络模型并在视频的空间维度和时间维度对深度图像和彩色图像两种模态数据进行特征提取;其次,将两种模态数据识别结果在决策层按最大值规则进行融合,同时,将原模型使用的Relu激活函数替换为Mish激活函数优化梯度特性;最后,通过3组对比实验得到6种动态手势的平均识别准确率为96.8%。结果表明:所提方法实现了加工作业中动态手势识别的高准确率和高鲁棒性的目标,对人机交互技术在实际生产场景中的应用起到推动作用。

基于视频的托辊异常检测方法研究

针对托辊卡死、阻塞、轴承故障等托辊异常现象检测准确率低及人工检测耗时长的问题,提出基于视频的托辊异常检测方法,对运动托辊进行实时异常检测和报警。分析异常托辊产生的原因,提出基于视频的异常托辊检测方案并设计托辊异常检测网络;实验测得异常托辊检测准确率89.53%,检测速度103帧每秒;使用五个评价标准分析了方案的优劣。相比与基于声音信号的托辊异常检测方案,基于视频的检测方法降低了传感器安装和维护难度,将卡死托辊检测准确率提高至94.57%,确定异常托辊的位置,降低了工人维修时二次定位异常托辊的难度和工作量。

感染性肺炎新生儿的血清25-羟基维生素D与炎症因子的相关性分析

目的分析感染性肺炎新生儿的血清25-羟基维生素D[25-hydroxyvitamin D,25(OH)D]与炎症因子干扰素-γ(infectious pneumonia-γ,IFN-γ)、C-反应蛋白(C-reactive protein,CRP)、白细胞介素-2(interleukin-2,IL-2)水平的相关性。方法选取河北省秦皇岛市第一医院2018年12月至2020年12月收治的100例感染性肺炎新生儿,根据血清25(OH)D水平分为缺乏组(≤15.0μg/L,18例)、不足组(15.1~20.0μg/L,42例)、充足组(>20.0μg/L,40例)。统计3组性别、胎龄、血清25(OH)D水平、出生体重、分娩方式等一般资料和临床资料,比较3组IFN-γ、CRP及IL-2水平,分析新生儿血清25(OH)D水平与IFN-γ、CRP、IL-2水平的相关性。结果3组胎龄、性别、出生体质量、分娩方式比较差异无统计学意义(P>0.05);缺乏组、不足组、充足组新生儿的血清25(OH)D水平逐渐升高,差异有统计学意义(P<0.05)。缺乏组IFN-γ、CRP及IL-2水平均高于不足组、充足组(P<0.05),不足组IFN-γ、CRP及IL-2水平高于充足组(P<0.05)。经Pearson相关分析,感染性肺炎新生儿血清25(OH)D水平与IFN-γ、CRP、IL-2水平呈负相关(P<0.05)。结论新生儿血清25(OH)D越低,维生素D越缺乏,IFN-γ、CRP及IL-2水平越高,感染性肺炎的风险越高。