Assessment of iris volume in glaucoma patients with type 2 diabetes mellitus by AS-OCT

AIM:To examine the change of iris volume measured by CASIA2 anterior segment optical coherence tomography(ASOCT)in glaucoma patients with or without type 2 diabetes mellitus(T2DM)and explore if there is a correlation between hemoglobin A1c(HbA1c)level and iris volume.METHODS:In a cross-sectional study,72 patients(115 eyes)were divided into two groups:primary open angle glaucoma(POAG)group(55 eyes)and primary angle-closure glaucoma(PACG)group(60 eyes).Patients in each group were separately classified into patients with or without T2DM.Iris volume and glycosylated HbA1c level were measured and analyzed.RESULTS:In the PACG group,diabetic patients'iris volume was significantly lower than those of non-diabetics(P=0.02),and there was a significant correlation between iris volume and HbA1c level in the PACG group(r=-0.26,P=0.04).However,diabetic POAG patients'iris volume was noticeably higher than those of non-diabetics(P=0.01),and there was a significant correlation between HbA1c level and iris volume(r=0.32,P=0.02).CONCLUSION:Diabetes mellitus impact iris volume size,as seen by increased iris volume in the POAG group and decreased iris volume in the PACG group.In addition,iris volume is significantly correlated with HbA1c level in glaucoma patients.These findings imply that T2DM may compromise iris ultrastructure in glaucoma patients.

ISO 22163:2023新版标准变化点解析与IRIS认证的实施

ISO22163:2023是轨道交通行业领域新发布的质量管理体系国际标准,本文从标准的范围、术语定义、过程方法和重要内容变化点、其他优化完善等方面分析了国际标准ISO22163:2023与其升级前的版本ISO/TS22163:2017的主要内容差异,包括产品安全、社会责任、能力要求、外部供方评估、RAMS/LCC、FAI、软件工具以及其他优化完善等,总结了IRIS认证变化点,主要涵盖评估过程、认证实施和认证绩效等级的变化,并提出了IRIS认证标准转版的时间节点、风险评估和体系文件策划的相关建议,以期为更好理解和实施该标准提供借鉴。

IRIS模式促进STEAM教学区域均衡发展

当今世界对创新能力的呼唤为STEAM教育提供了时代土壤。当下,农村学校由于受师资、实践装备数量与质量的困扰,造成STEAM教学区域均衡发展困难。在农村信息科技教学中,我们可以尝试采用IRIS模式,促进STEAM教学区域均衡发展。

基于IRIS和Python平台的人脸识别技术研究

IRIS数据平台以高效的性能进行实时获取、处理数据而广泛得到应用,Python是一种功能强大、简单易学的编程语言,其具有简洁的语法和丰富的第三方库支持,特别适合用于开发人工智能应用程序。文章详细介绍了IRIS与Python数据交互的方法,并且以人脸识别为例,在Python平台和IRIS平台实现了基于OpenCV的局部二进制模式直方图(LocalBinaryPatternHistogram,LBPH)算法,对比分析了LBPH算法在不同平台上的执行效率,为人脸识别技术的研究提供了更多理论依据。

从“BLACK IRISH”商标案看欧盟与中国对于商标绝对性驳回理由审查的异同

欧盟“BLACK IRISH”商标申请案情介绍2020年1月29日,申请人LOTION LLC向欧盟知识产权局申请注册了“BLACK IRISH”商标,指定商品包括:第30类:热巧克力;咖啡;第32类:啤酒;黑啤酒和波特啤酒;第33类:含有威士忌,奶油利口酒和/或卜丁酒的咖啡酒精饮料。

Exogenous addition of nitrate nitrogen regulates the uptake and translocation of lead (Pb) by Iris lacteal Pall. var. chinensis (Fisch.) Koidz.

Since Pb is a non-biodegradable inorganic pollutant and a non-essential metal,its long-term presence in soil poses a great threat to the environment.Iris lactea Pall.var.chinensis(Fisch.)Koidz.,a perennial dense bush herb with high resistance of Pb and wide adaptability,was used in pot experiments to study the effects of exogenous nitrate N(NO_(3)^(–)-N)on the absorption and transportation of Pb and plant growth under different Pb concentrations.Then,the mechanism of NO_(3)^(-)-N affecting Pb and nutrient uptake and transport was explored.The concentration of Pb in the experiment ranged from 0 to 1600 mg/kg,and the added concentration of NO_(3)^(-)-N was 0.0–0.3 g/kg.The results showed that I.lactea was highly tolerant to Pb,and the shoot fraction was more sensitive to varied Pb concentrations in the soil than the root fraction.This protective function became more pronounced under the condition of raised Pb concentration in the soil.When the concentration of Pb in the soil reached 800 mg/kg,the highest Pb content of I.lactea was found under the condition of 0.1 g/kg of NO–3-N addition.When Pb concentration in the soil increased to 1600 mg/kg,the increase in NO_(3)^(-)-N addition promoted Pb uptake by the root.To ensure the well growth of I.lactea and the effect of remediation of Pb-contaminated soil,the recommended concentration of NO–3-N in the soil is 0.1 g/kg.This result provides a theoretical basis for exogenous N regulation of phytoremediation of Pb-contaminated soil.

Iris Liveness Detection Using Fragmental Energy of Haar Transformed Iris Images Using Ensemble of Machine Learning Classifiers

Contactless verification is possible with iris biometric identification,which helps prevent infections like COVID-19 from spreading.Biometric systems have grown unsteady and dangerous as a result of spoofing assaults employing contact lenses,replayed the video,and print attacks.The work demonstrates an iris liveness detection approach by utilizing fragmental coefficients of Haar transformed Iris images as signatures to prevent spoofing attacks for the very first time in the identification of iris liveness.Seven assorted feature creation ways are studied in the presented solutions,and these created features are explored for the training of eight distinct machine learning classifiers and ensembles.The predicted iris liveness identification variants are evaluated using recall,F-measure,precision,accuracy,APCER,BPCER,and ACER.Three standard datasets were used in the investigation.The main contribution of our study is achieving a good accuracy of 99.18%with a smaller feature vector.The fragmental coefficients of Haar transformed iris image of size 8∗8 utilizing random forest algorithm showed superior iris liveness detection with reduced featured vector size(64 features).Random forest gave 99.18%accuracy.Additionally,conduct an extensive experiment on cross datasets for detailed analysis.The results of our experiments showthat the iris biometric template is decreased in size tomake the proposed framework suitable for algorithmic verification in real-time environments and settings.

Iris metastasis from clear cell renal cell carcinoma: A case report

BACKGROUND Clear cell renal cell carcinoma(ccRCC)is a common type of tumor that can metastasize to any organs and sites.However,it is extremely rare for ccRCC to metastasize to the iris.Here,we describe a rare case of iris metastasis from ccRCC with a history of left nephrectomy in 2010.CASE SUMMARY A 62-year-old male was admitted to the hospital due to blurred vision and red eyes,and a mass was found on the iris in the right eye.B-scan ultrasonography revealed a well-bounded high-density lesion at the corner of the anterior chamber at the 3-4 o’clock position.Phacoemulsification with simultaneous intraocular lens implantation and iridocyclectomy was performed in the right eye.The lesion was confirmed to be metastatic ccRCC by histological and immunohistochemical analyses.The patient was still alive at 9 mo after surgical treatment.Ocular metastasis can be an initial sign with a poor prognosis.Timely detection and treatment may improve survival.Clinicians should pay attention to similar metastatic diseases to prevent misdiagnosis leading to missed treatment oppor-tunities.CONCLUSION This report of the characteristics and successful management of a rare case of iris metastasis from ccRCC highlights the importance of a comprehensive medical history,histopathology,immunohistochemistry,and clinical manifestation for successful disease diagnosis.

An Optimised Defensive Technique to Recognize Adversarial Iris Images Using Curvelet Transform

Deep Learning is one of the most popular computer science techniques,with applications in natural language processing,image processing,pattern iden-tification,and various otherfields.Despite the success of these deep learning algorithms in multiple scenarios,such as spam detection,malware detection,object detection and tracking,face recognition,and automatic driving,these algo-rithms and their associated training data are rather vulnerable to numerous security threats.These threats ultimately result in significant performance degradation.Moreover,the supervised based learning models are affected by manipulated data known as adversarial examples,which are images with a particular level of noise that is invisible to humans.Adversarial inputs are introduced to purposefully confuse a neural network,restricting its use in sensitive application areas such as bio-metrics applications.In this paper,an optimized defending approach is proposed to recognize the adversarial iris examples efficiently.The Curvelet Transform Denoising method is used in this defense strategy,which examines every sub-band of the adversarial images and reproduces the image that has been changed by the attacker.The salient iris features are retrieved from the reconstructed iris image by using a pretrained Convolutional Neural Network model(VGG 16)followed by Multiclass classification.The classification is performed by using Support Vector Machine(SVM)which uses Particle Swarm Optimization method(PSO-SVM).The proposed system is tested when classifying the adversarial iris images affected by various adversarial attacks such as FGSM,iGSM,and Deep-fool methods.An experimental result on benchmark iris dataset,namely IITD,produces excellent outcomes with the highest accuracy of 95.8%on average.

A Novel Fusion System Based on Iris and Ear Biometrics for E-exams

With the rapid spread of the coronavirus epidemic all over the world,educational and other institutions are heading towards digitization.In the era of digitization,identifying educational e-platform users using ear and iris based multi-modal biometric systems constitutes an urgent and interesting research topic to pre-serve enterprise security,particularly with wearing a face mask as a precaution against the new coronavirus epidemic.This study proposes a multimodal system based on ear and iris biometrics at the feature fusion level to identify students in electronic examinations(E-exams)during the COVID-19 pandemic.The proposed system comprises four steps.Thefirst step is image preprocessing,which includes enhancing,segmenting,and extracting the regions of interest.The second step is feature extraction,where the Haralick texture and shape methods are used to extract the features of ear images,whereas Tamura texture and color histogram methods are used to extract the features of iris images.The third step is feature fusion,where the extracted features of the ear and iris images are combined into one sequential fused vector.The fourth step is the matching,which is executed using the City Block Dis-tance(CTB)for student identification.Thefindings of the study indicate that the system’s recognition accuracy is 97%,with a 2%False Acceptance Rate(FAR),a 4%False Rejection Rate(FRR),a 94%Correct Recognition Rate(CRR),and a 96%Genuine Acceptance Rate(GAR).In addition,the proposed recognition sys-tem achieved higher accuracy than other related systems.

Morroniside ameliorates lipopolysaccharide-induced inflammatory damage in iris pigment epithelial cells through inhibition of TLR4/JAK2/STAT3 pathway

AIM:To investigate the effect of morroniside(Mor)on lipopolysaccharide(LPS)-treated iris pigment epithelial cells(IPE).METHODS:IPE cells were induced by LPS and treated with Mor.Cell proliferation was detected by cell counting kit(CCK)-8,apoptosis was detected by flow cytometry,the levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-6,and IL-8 were measured by enzyme-linked immunosorbent assay(ELISA)kits,and the protein expression of TLR4,JAK2,p-JAK2,STAT3,and p-STAT3 was analyzed by Western blotting.In addition,overexpression of TLR4 and Mor treatment of LPS-stimulated IPE cells were also tested for the above indices.RESULTS:Mor effectively promoted the proliferation and inhibited the apoptosis of LPS-treated IPE cells.In addition,Mor significantly reduced the levels of TNF-α,IL-6,and IL-8 and significantly inhibited the expression of TLR4,p-JAK2,and p-STAT3 in LPS-treated IPE cells.The effect of Mor on LPS-treated IPE cells was markedly attenuated after overexpression of TLR4.CONCLUSION:These findings suggest that Mor may ameliorate LPS-induced inflammatory damage and apoptosis in IPE through inhibition of TLR4/JAK2/STAT3 pathway.

IRIS配置管理在铁路信号工程项目中的实践与应用

结合铁路项目实践,阐述I R I S配置管理在铁路信号工程项目上的实践与应用。通过运用I R I S配置管理的相关技术管理手段,在项目生命周期内对保证产品的可追溯性、安全性和可靠性,起到非常重要的支撑作用。

IRIS技术在省煤器翅片管腐蚀检测中的试验研究

省煤器翅片管是电站锅炉中的常见承压构件之一,由于省煤器常年在含硫高温工况下运行,因此每个锅炉内检周期都必须对省煤器管部位进行仔细地宏观检查。某台热电联产电站锅炉中的省煤器翅片管经宏观检查发现出现泄漏,对泄漏部位做了割管处理,常用的无损检测手段对于省煤器带翅片管几乎无法做到精确定量检测,采用IRIS手段对出现泄漏管段部位附近管子进行抽查检测,结果显示采用IRIS技术能够对管子内部腐蚀情况进行精确测量,是一种值得推荐的腐蚀检测手段。

马蔺花器官表型特征及色素分析

为分析马蔺(Iris lactea var.chinensis)种质花器官表型性状,明确马蔺花瓣的色素成分,以中国6个省市不同生境条件下22份马蔺种质资源为试验材料,对花冠这一重要观赏部位的表型特征及花色素进行系统研究。采用RHSCC比色和色差仪测色方法描述了马蔺种质花器官表型性状,并通过亚硝酸钠-硝酸铝显色法和pH示差法等方法测定了马蔺花色素质量分数,分析不同色系马蔺花色素表达差异。结果表明:22份马蔺种质花瓣花色可分为浅蓝色、浅蓝紫色、深蓝紫色和紫罗兰色4大色系,垂瓣和旗瓣明度(L^(*))与a^(*)呈负相关,与b^(*)呈正相关,与彩度(c^(*))呈负相关。不同色系马蔺花器官表型特征不同,4大色系中紫罗兰色花瓣最大、花葶最高、垂瓣花斑最小,浅蓝色花瓣最小、花葶最低、垂瓣花斑最大,说明花瓣颜色越深,花瓣越大,垂瓣花斑则越小;不同色系马蔺花瓣中色素质量分数差异显著,浅蓝色花瓣中类胡萝卜素质量分数显著高于紫罗兰色,而紫罗兰色花瓣中的类黄酮质量分数和花色苷质量分数显著高于浅蓝色。随花瓣颜色加深,类胡萝卜素质量分数降低,类黄酮和花色苷质量分数相应增加。相关性分析表明,类胡萝卜素质量分数与垂旗瓣L^(*)均呈显著正相关(P<0.05),与垂旗瓣a^(*)、c^(*)均呈显著负相关(P<0.05)。类黄酮质量分数与垂旗瓣L^(*)、b^(*)均呈极显著负相关(P<0.01),与垂旗瓣a^(*)呈极显著正相关(P<0.01),与垂旗瓣c^(*)呈显著正相关(P<0.05)。花色苷质量分数与测色参数相关性的结果与类黄酮相似,表明类黄酮和花色苷质量分数对马蔺花呈色具有重要作用。

基于射线追踪方法的电离层点对点传播问题研究

短波通信和电离层斜向探测本质上都属于点对点传播问题,即固定收发站之间的传播问题,而点对点传播问题的本质是在发射点搜索出合适的仰角和方位角来实现射线的自动导引。射线追踪一直是研究高频波传播现象的工具,基于射线追踪的自导引技术可以实现点对点传播,但不同电离层模型对点对点传播的轨迹和精度会有影响。本文将基于数值射线追踪,利用牛顿自导引技术构建点对点传播模型,研究在分段准抛物(quasi parabolic segments,QPS)电离层模型以及国际参考电离层(International Reference Ionosphere,IRI)模型这两种不同电离层模型下点对点传播算法的稳健性和精确性问题。结果表明,在两种模型下本文算法均有较高的稳健性,但是QPS电离层模型下具有更快的运行速度,而IRI模型下有更高的精确性。

CyberKnife中Fixed/Iris准直器对肝癌患者治疗计划的影响及评价

目的:探讨及评价不同准直器(Fixed/Iris)的选择对治疗计划剂量学特点的影响。方法:选取12例肝癌患者影像数据,统一给予靶区剂量50 Gy/5 F,在相同条件下分别对每例患者选择Fixed与Iris准直器进行治疗计划设计,通过靶区适形度指数(CI)、均匀性指数(HI)、梯度指数(GI)、正常肝脏平均受量以及治疗时间等参数,分析评估计划优化质量及实施效率。结果:Iris组计划执行的平均治疗时间明显优于Fix组[(48.33±1.92)min vs(51.50±1.88)min,t=4.23,P=0.001],而CI(0.79±0.07 vs 0.80±0.08,t=0.52,P=0.613)、HI(0.42±0.14 vs 0.41±0.14,t=0.35,P=0.733)、GI(3.66±0.61 vs 3.60±0.50,t=1.15,P=0.273)、处方剂量归一值[(76.92±6.55)%vs(77.00±6.34)%,t=0.18,P=0.857]以及正常肝脏平均受量[(5.15±1.25)Gy vs(5.16±1.27)Gy,t=0.63,P=0.542]则无统计学差异。结论:CyberKnife系统中使用Iris相对Fixed准直器而言,除治疗时间明显缩短外,没有显著的剂量学差异。而对于其他部位肿瘤患者的治疗计划有无差异,还需进一步探讨和研究。

一种基于模式匹配法的窄带Iris波导滤波器设计

提出了一种基于模式匹配法的窄带Iris波导滤波器设计方法,通过引入Matlab优化使滤波器设计周期缩短了约1/3。设计的窄带滤波器相对带宽小于3%,且较好的克服了毫米波频段滤波器高频端带外抑制较差的难题。测试结果表明,该带通滤波器插入损耗小于0.8 d B,驻波比小于1.2,中心频率34.86 GHz,带外抑制52 d B@36.5 GHz,已被成功应用于某毫米波雷达通信系统中。

IRIS虚拟科学探究实验室的设计与应用

IR IS虚拟科学探究实验室是为将虚拟实验在小学科学教育中进行普及而做,其光盘软件基于UbuntuLinux系统定制,并遵循自由软件版权协议在网上公开发行。本文介绍了光盘的内容结构、适应虚拟实验课程设计的IR IS(鸢尾花)模式及其变式、课程案例,及效果评价等。

IRIS DMC的数据服务

介绍了IRISDMC的数据来源、数据服务内容和数据请求工具,这对于较好地使用其数据资源及做好中国的地震数据服务工作有一定的意义。

基于IRIS4007的高频高压开关电源设计

介绍了智能开关电源集成电路IRIS4007的结构,分析了其基本工作原理,给出了单片开关电源的实用电路及主要单元电路的设计方法。对电路进行了实验测试,验证了该单片开关电源的稳定性和可靠性。