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Effect of topical 0.05% cyclosporine A on the tear protein lacritin in a rat model of dry eye

International Journal of Ophthalmology(English edition) 2019年第2期12卷 189-193页

作者： fen-dui zhang Zhao-Qin Hao Wei Gao Yi-Qiao Xing Eye Center Renmin Hospital of Wuhan University Department of Ophthalmology Xi'an No.1 Hospital

AIM: To observe the effect of topical 0.05% cyclosporine A(CsA) on the ocular surface and tear protein lacritin in a botulinum B-induced dry eye rat model. METHODS: A total of 36 female SD rats were randomly divided into 3 groups, botulinum B was injected into the right lacrimal gland of all rats. Group A and group B were treated with 0.05% CsA and 0.1% sodium hyaluronate, respectively, 3 times daily. The control group was not treated. Basal tear flow, corneal epithelial defects, and lacritin levels were measured. RESULTS: Tear secretion in all rats was reduced on day 3 and was even lower on day 7 postoperation(P<0.05). Tear secretion in group A increased by day 14 and was at the preoperative level on day 42. Tear secretion in group B and control rats was lower on days 14 and 42 compared with preoperative level(P<0.05). Corneal fluorescein staining in group A was higher on day 3, peaked on day 7, and then decreased gradually from day 7 until day 14, returning to normal by day 42 post-procedure. However, in group B, corneal fluorescein staining had improved, but was not fully recovered by day 42. Corneal fluorescein staining was more intense than before the operation and then in the control group at all time points. Tear protein lacritin levels reached the lowest levels on day 7 in all groups. In group A, tear protein lacritin levels began to increase on day 14 and were normal on day 42. In group B, tear protein lacritin levels began to increase on day 14, but had not completely recovered on day 42. In the control group, tear protein lacritin levels remained low post-procedure. CONCLUSION: CsA 0.05% prompts tear protein lacritin expression in a rat model of dry eye and improves the signs and symptoms of dry eye disease.

关键词： 0.05% cyclosporine A tear protein lacritin dry eye

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雷珠单抗联合视网膜光凝治疗新生血管性青光眼的临床研究

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国际眼科杂志 2015年第5期15卷 898-899页

作者：张分队郑博高伟程燕吴洁中国陕西省西安市第一医院眼科 710002

目的:探讨雷珠单抗联合视网膜光凝治疗有视功能的新生血管性青光眼的临床疗效。方法:回顾性分析2012-10/2013-09就诊于我院30例36眼有视功能的新生血管性青光眼采用雷珠单抗联合视网膜光凝治疗前及治疗后1wk;1,3mo的视力、眼压、虹膜表... 详细信息

目的:探讨雷珠单抗联合视网膜光凝治疗有视功能的新生血管性青光眼的临床疗效。方法:回顾性分析2012-10/2013-09就诊于我院30例36眼有视功能的新生血管性青光眼采用雷珠单抗联合视网膜光凝治疗前及治疗后1wk;1,3mo的视力、眼压、虹膜表面新生血管消退情况及术中、术后并发症。结果:采用雷珠单抗玻璃体腔注射后5d,36眼的虹膜表面新生血管全部消退,平均消退时间3.7±1.4d;治疗前平均眼压30.5±3.6mm Hg,治疗后1wk;1,3mo的平均眼压分别是18.2±2.1,16.8±3.1,17.2±2.4mm Hg,差异具有统计学意义;视力较治疗前无下降或有不同程度提高。术中均无眼内出血,术后无眼内炎等并发症发生。结论:雷珠单抗联合视网膜光凝是治疗有视功能的新生血管性青光眼的一种安全、有效的方法。

关键词：雷珠单抗玻璃体腔注射视网膜光凝新生血管性青光眼

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共焦显微镜在复发性角膜上皮糜烂综合征治疗中应用

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国际眼科杂志 2015年第9期15卷 1629-1632页

作者：张分队王晶晶王双勇程燕程钰吴洁中国陕西省西安市第一医院眼科 710002 第四军医大学西京医院眼科中国陕西省西安市710032

目的:探讨共焦显微镜在指导长期配戴绷带式角膜接触镜治疗复发性角膜上皮糜烂综合征中的价值。方法:随机选取2014-03/09就诊于我院36例36眼复发性角膜上皮糜烂综合征患者配戴绷带式角膜接触镜,观察戴镜前,戴镜后2、4、8、12wk眼部疼痛... 详细信息

目的:探讨共焦显微镜在指导长期配戴绷带式角膜接触镜治疗复发性角膜上皮糜烂综合征中的价值。方法:随机选取2014-03/09就诊于我院36例36眼复发性角膜上皮糜烂综合征患者配戴绷带式角膜接触镜,观察戴镜前,戴镜后2、4、8、12wk眼部疼痛和刺激症状、角膜上皮愈合情况、共焦显微镜图像及不良反应情况。结果:患者在配戴绷带式角膜接触镜后30min眼部的疼痛与刺激症状均得到不同程度缓解,完全缓解者26眼(72%),明显缓解者10眼(28%);角膜上皮的平均愈合时间5.68±0.73d;2、4、8、12wk时共焦显微镜下基底细胞形态、排列,上皮下神经纤维密度、走形日渐趋于正常;临近角膜上皮基底细胞的前基质层炎细胞逐渐消退。观察期间未发现1例与配戴接触镜有关的并发症。结论:共焦显微镜指导下绷带式角膜接触镜治疗复发性角膜上皮糜烂综合征可以避免过早摘镜,使基底膜与前弹力层紧密粘连,减少复发,是一种简便、安全、有效方法。

关键词：共焦显微镜绷带式角膜接触镜复发性角膜上皮糜烂综合征

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维生素A棕榈酸酯眼用凝胶对烧伤后早期眼表修复的疗效观察

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国际眼科杂志 2015年第11期15卷 1949-1952页

作者：张分队王晶晶高伟朱海峰龙潭吴洁中国陕西省西安市第一医院眼科 710002 第四军医大学西京医院眼科中国陕西省西安市710032

目的:观察维生素A棕榈酸酯眼用凝胶对烧伤后早期眼表修复的临床疗效。方法:采用随机、双盲、阳性药物平行对照方法,将78例眼烧伤患者随机分为维生素A棕榈酸酯眼用凝胶治疗组(A组,40例),碱性成纤维细胞生长因子(b FGF)滴眼液治疗组(B组,3... 详细信息

目的:观察维生素A棕榈酸酯眼用凝胶对烧伤后早期眼表修复的临床疗效。方法:采用随机、双盲、阳性药物平行对照方法,将78例眼烧伤患者随机分为维生素A棕榈酸酯眼用凝胶治疗组(A组,40例),碱性成纤维细胞生长因子(b FGF)滴眼液治疗组(B组,38例)。维生素A棕榈酸酯眼用凝胶和b FGF滴眼液均点眼4次/d,疗程为14d,观察两组的角膜上皮修复情况、干眼检查结果、症状及体征评分等指标。结果:维生素A棕榈酸酯眼用凝胶治疗组痊愈31例,显效5例,痊愈率为76%,有效率90%;b FGF治疗组痊愈32例,显效3例,痊愈率为84%,有效率为92%,两组之间无统计学差异(P>0.05),但维生素A棕榈酸酯眼用凝胶治疗组的Schirmer实验结果、泪膜破裂时间(BUT)与b FGF治疗组相比,均延长,两组之间有统计学差异(P<0.05);而且维生素A棕榈酸酯眼用凝胶治疗组患者的眼干、涩以及异物感的症状减轻程度明显好于b FGF治疗组,两者之间有统计学差异(P<0.05)。结论:维生素A棕榈酸酯眼用凝胶对烧伤后早期眼表修复疗效确切、应用方便。

关键词：维生素A棕榈酸酯眼用凝胶眼烧伤眼表修复

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Method for Estimating the State of Health of Lithium-ion Batteries Based on Differential Thermal Voltammetry and Sparrow Search Algorithm-Elman Neural Network

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Energy Engineering 2025年第1期122卷 203-220页

作者： Yu zhang Daoyu zhang TiezhouWu School of Electrical and Electronic Engineering Hubei University of TechnologyWuhan430068China

Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery ***,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity ***,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model *** address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural ***,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity ***,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network *** validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging *** experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.

关键词： Lithium-ion battery state of health differential thermal voltammetry Sparrow Search Algorithm

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A Lightweight Multiscale Feature Fusion Network for Solar Cell Defect Detection

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Computers, Materials & Continua 2025年第1期82卷 521-542页

作者： Xiaoyun Chen Lanyao zhang Xiaoling Chen Yigang Cen Linna zhang Fugui zhang School of Mechanical Engineering Guizhou UniversityGuiyang550025China School of Computer Science and Technology Beijing Jiaotong UniversityBeijing100044China

Solar cell defect detection is crucial for quality inspection in photovoltaic power generation *** the production process,defect samples occur infrequently and exhibit random shapes and sizes,which makes it challenging to collect defective ***,the complex surface background of polysilicon cell wafers complicates the accurate identification and localization of defective *** paper proposes a novel Lightweight Multiscale Feature Fusion network(LMFF)to address these *** network comprises a feature extraction network,a multi-scale feature fusion module(MFF),and a segmentation ***,a feature extraction network is proposed to obtain multi-scale feature outputs,and a multi-scale feature fusion module(MFF)is used to fuse multi-scale feature information *** order to capture finer-grained multi-scale information from the fusion features,we propose a multi-scale attention module(MSA)in the segmentation network to enhance the network’s ability for small target ***,depthwise separable convolutions are introduced to construct depthwise separable residual blocks(DSR)to reduce the model’s parameter ***,to validate the proposed method’s defect segmentation and localization performance,we constructed three solar cell defect detection datasets:SolarCells,SolarCells-S,and *** and SolarCells-S are monocrystalline silicon datasets,and PVEL-S is a polycrystalline silicon *** results show that the IOU of our method on these three datasets can reach 68.5%,51.0%,and 92.7%,respectively,and the F1-Score can reach 81.3%,67.5%,and 96.2%,respectively,which surpasses other commonly usedmethods and verifies the effectiveness of our LMFF network.

关键词： Defect segmentation multi-scale feature fusion multi-scale attention depthwise separable residual block

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Bilevel Optimal Scheduling of Island Integrated Energy System Considering Multifactor Pricing

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Energy Engineering 2025年第1期122卷 349-378页

作者： Xin zhang Mingming Yao Daiwen He Jihong zhang Peihong Yang Xiaoming zhang School of Automation and Electrical Engineering Inner Mongolia University of Science and TechnologyBaotou014010China

In this paper,a bilevel optimization model of an integrated energy operator(IEO)–load aggregator(LA)is constructed to address the coordinate optimization challenge of multiple stakeholder island integrated energy system(IIES).The upper level represents the integrated energy operator,and the lower level is the electricity-heatgas load *** to the benefit conflict between the upper and lower levels of the IIES,a dynamic pricing mechanism for coordinating the interests of the upper and lower levels is proposed,combined with factors such as the carbon emissions of the IIES,as well as the lower load interruption *** price of selling energy can be dynamically adjusted to the lower LA in the mechanism,according to the information on carbon emissions and load interruption *** benefits and win-win situations are achieved between the upper and lower ***,CPLEX is used to iteratively solve the bilevel optimization *** optimal solution is selected according to the joint optimal discrimination *** results indicate that the sourceload coordinate operation can reduce the upper and lower operation *** the proposed pricingmechanism,the carbon emissions and load interruption power of IEO-LA are reduced by 9.78%and 70.19%,respectively,and the capture power of the carbon capture equipment is improved by 36.24%.The validity of the proposed model and method is verified.

关键词： Bilevel optimal scheduling load aggregator integrated energy operator carbon emission dynamic pricing mechanism

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Structural and microwave absorption properties of CoFe_(2)O_(4)/residual carbon composites

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 221-232页

作者： Yuanchun zhang Shengtao Gao Xingzhao zhang Dacheng Ma Chuanlei Zhu Jun He Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining Anhui University of Science and TechnologyHuainan 232001China School of Chemical and Blasting Engineering Anhui University of Science and TechnologyHuainan 232001China

Electromagnetic interference,which necessitates the rapid advancement of substances with exceptional capabilities for bsorbing electromagnetic waves,is of urgent concern in contemporary *** this work,CoFe_(2)O_(4)/residual carbon from coal gasification fine slag(CFO/RC)composites were created using a novel hydrothermal *** mechanisms for microwave absorption,including conductive loss,natural resonance,interfacial dipole polarization,and magnetic flux loss,are involved in these ***,compared with pure residual carbon materials,this composite offers superior capabilities in microwave *** 7.76GHz,the CFO/RC-2 composite achieves an impressive minimum reflection loss(RL_(min))of-43.99 dB with a thickness of 2.44 ***,CFO/RC-3 demonstrates an effective absorption bandwidth(EAB)of up to 4.16 GHz,accompanied by a thickness of *** study revealed the remarkable capability of the composite to diminish electromagnetic waves,providing a new generation method for microwave absorbing materials of superior quality.

关键词： coal gasification slag residual carbon hydrothermal method microwave absorption CoFe_(2)O_(4)

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DDoS Attack Autonomous Detection Model Based on Multi-Strategy Integrate Zebra Optimization Algorithm

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Computers, Materials & Continua 2025年第1期82卷 645-674页

作者： Chunhui Li Xiaoying Wang Qingjie zhang Jiaye Liang Aijing zhang School of Information Engineering Institute of Disaster PreventionLangfang065201China Langfang Key Laboratory of Network Emergency Protection and Network Security Langfang065201China

Previous studies have shown that deep learning is very effective in detecting known ***,when facing unknown attacks,models such as Deep Neural Networks(DNN)combined with Long Short-Term Memory(LSTM),Convolutional Neural Networks(CNN)combined with LSTM,and so on are built by simple stacking,which has the problems of feature loss,low efficiency,and low ***,this paper proposes an autonomous detectionmodel for Distributed Denial of Service attacks,Multi-Scale Convolutional Neural Network-Bidirectional Gated Recurrent Units-Single Headed Attention(MSCNN-BiGRU-SHA),which is based on a Multistrategy Integrated Zebra Optimization Algorithm(MI-ZOA).The model undergoes training and testing with the CICDDoS2019 dataset,and its performance is evaluated on a new GINKS2023 *** hyperparameters for Conv_filter and GRU_unit are optimized using the Multi-strategy Integrated Zebra Optimization Algorithm(MIZOA).The experimental results show that the test accuracy of the MSCNN-BiGRU-SHA model based on the MIZOA proposed in this paper is as high as 0.9971 in the CICDDoS 2019 *** evaluation accuracy of the new dataset GINKS2023 created in this paper is *** to the MSCNN-BiGRU-SHA model based on the Zebra Optimization Algorithm(ZOA),the detection accuracy on the GINKS2023 dataset has improved by 5.81%,precisionhas increasedby 1.35%,the recallhas improvedby 9%,and theF1scorehas increasedby 5.55%.Compared to the MSCNN-BiGRU-SHA models developed using Grid Search,Random Search,and Bayesian Optimization,the MSCNN-BiGRU-SHA model optimized with the MI-ZOA exhibits better performance in terms of accuracy,precision,recall,and F1 score.

关键词： Distributed denial of service attack intrusion detection deep learning zebra optimization algorithm multi-strategy integrated zebra optimization algorithm

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Integrated Equipment with Functions of Current Flow Control and Fault Isolation for Multiterminal DC Grids

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Energy Engineering 2025年第1期122卷 85-99页

作者： Shuo zhang Guibin Zou School of Electrical Engineering Shandong UniversityJinan250061China Suzhou Research Institute Shandong UniversitySuzhou215123China

The multi-terminal direct current(DC)grid has extinctive superiorities over the traditional alternating current system in integrating large-scale renewable *** the DC circuit breaker(DCCB)and the current flow controller(CFC)are demanded to ensure the multiterminal DC grid to operates reliably and ***,since the CFC and the DCCB are all based on fully controlled semiconductor switches(e.g.,insulated gate bipolar transistor,integrated gate commutated thyristor,etc.),their separation configuration in the multiterminal DC grid will lead to unaffordable implementation costs and conduction power *** solve these problems,integrated equipment with both current flow control and fault isolation abilities is proposed,which shares the expensive and duplicated components of CFCs and DCCBs among adjacent *** addition,the complicated coordination control of CFCs and DCCBs can be avoided by adopting the integrated equipment in themultiterminal DC *** order to examine the current flow control and fault isolation abilities of the integrated equipment,the simulation model of a specific meshed four-terminal DC grid is constructed in the PSCAD/EMTDC ***,the comparison between the integrated equipment and the separate solution is presented a specific result or conclusion needs to be added to the abstract.

关键词： Integrated equipment multiterminal direct current grid current flow control fault isolation

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