Passive Matrix Organic Electroluminescent Display for 3G Cellular Phone

The major features of the display technologies for 3G cellular phone are reviewed. The comparison between their potential candidates for 3G cellular phone is given, and a detailed discussion is made on passive matrix organic electroluminescent display technology. A novel method to improve display contrast ratio is presented. Finally several 3G phone set prototypes with OLED display panels are given as well as the market forecast.

Linear matrix inequality approach for synchronization control of fuzzy cellular neural networks with mixed time delays

Fuzzy cellular neural networks （FCNNs） are special kinds of cellular neural networks （CNNs）. Each cell in an FCNN contains fuzzy operating abilities. The entire network is governed by cellular computing laws. The design of FCNNs is based on fuzzy local rules. In this paper, a linear matrix inequality （LMI） approach for synchronization control of FCNNs with mixed delays is investigated. Mixed delays include discrete time-varying delays and unbounded distributed delays. A dynamic control scheme is proposed to achieve the synchronization between a drive network and a response network. By constructing the Lyapunov-Krasovskii functional which contains a triple-integral term and the free-weighting matrices method an improved delay-dependent stability criterion is derived in terms of LMIs. The controller can be easily obtained by solving the derived LMIs. A numerical example and its simulations are presented to illustrate the effectiveness of the proposed method.

N×N Clos Digital Cross-Connect Switch Using Quantum Dot Cellular Automata(QCA)

Quantum dot cellular automata(QCA)technology is emerging as a future technology which designs the digital circuits at quantum levels.The tech-nology has gained popularity in terms of designing digital circuits,which occupy very less area and less power dissipation in comparison to the present comple-mentary metal oxide semiconductor(CMOS)technology.For designing the rou-ters at quantum levels with non-blocking capabilities various multi-stage networks have been proposed.This manuscript presents the design of the N×NClos switch matrix as a multistage interconnecting network using quantum-dot cellular automata technology.The design of the Clos switch matrix presented in the article uses three input majority gates(MG).To design the 4×4 Clos switch matrix,a basic 2×2 switch architecture has been proposed as a basic mod-ule.The 2×2 switching matrix(SM)design presented in the manuscript utilizes three input majority gates.Also,the 2×2 SM has been proposed usingfive input majority gates.Two different approaches(1&2)have been presented for designing 2×2 SM usingfive input majority gates.The 2×2 SM design based on three input majority gate utilizes four zone clocking scheme to allow signal transmis-sion.Although,the clocking scheme used in 2×2 SM using three input MG and in 2×2 SM approach 1 usingfive input MG is conventional.The 2×2 SM approach 2 design,utilizes the clocking scheme in which clocks can be applied by electricfield generators easily and in turn the switch element becomes physically realizable.The simulation results conclude that the 2×2 SM is suitable for designing a 4×4 Clos network.A higher order of input-output switching matrix,supporting more number of users can utilize the proposed designs.

家畜子宫内膜纤维化的细胞分子机制研究进展

子宫内膜纤维化是子宫内膜受到持续损伤刺激导致其修复障碍引发的,以细胞外基质过度沉积为特征,可能导致子宫内膜结构破坏和功能障碍甚至衰竭,影响家畜繁殖力和生殖质量。因此,解析子宫内膜纤维化的形成机制对提高家畜繁殖力具有一定意义。本文阐述了纤维化发生的触发因素,形成的细胞分子机制及细胞代谢调节与细胞外基质之间的关系,并探讨了纤维化的治疗策略和未来研究方向,旨在为家畜子宫内膜纤维化的研究提供参考。

Biological scaffold as potential platforms for stem cells:Current development and applications in wound healing

Wound repair is a complex challenge for both clinical practitioners and researchers.Conventional approaches for wound repair have several limitations.Stem cell-based therapy has emerged as a novel strategy to address this issue,exhibiting significant potential for enhancing wound healing rates,improving wound quality,and promoting skin regeneration.However,the use of stem cells in skin regeneration presents several challenges.Recently,stem cells and biomaterials have been identified as crucial components of the wound-healing process.Combination therapy involving the development of biocompatible scaffolds,accompanying cells,multiple biological factors,and structures resembling the natural extracellular matrix(ECM)has gained considerable attention.Biological scaffolds encompass a range of biomaterials that serve as platforms for seeding stem cells,providing them with an environment conducive to growth,similar to that of the ECM.These scaffolds facilitate the delivery and application of stem cells for tissue regeneration and wound healing.This article provides a comprehensive review of the current developments and applications of biological scaffolds for stem cells in wound healing,emphasizing their capacity to facilitate stem cell adhesion,proliferation,differentiation,and paracrine functions.Additionally,we identify the pivotal characteristics of the scaffolds that contribute to enhanced cellular activity.

Anti-windup compensation design for a class of distributed time-delayed cellular neural networks

Both time-delays and anti-windup(AW)problems are conventional problems in system design,which are scarcely discussed in cellular neural networks(CNNs).This paper discusses stabilization for a class of distributed time-delayed CNNs with input saturation.Based on the Lyapunov theory and the Schur complement principle,a bilinear matrix inequality(BMI)criterion is designed to stabilize the system with input saturation.By matrix congruent transformation,the BMI control criterion can be changed into linear matrix inequality(LMI)criterion,then it can be easily solved by the computer.It is a one-step AW strategy that the feedback compensator and the AW compensator can be determined simultaneously.The attraction domain and its optimization are also discussed.The structure of CNNs with both constant timedelays and distribute time-delays is more general.This method is simple and systematic,allowing dealing with a large class of such systems whose excitation satisfies the Lipschitz condition.The simulation results verify the effectiveness and feasibility of the proposed method.

Generalized LMI-based approach to global asymptotic stability of cellular neural networks with delay

A global asymptotic stability problem of cellular neural networks with delay is investigated. A new stability condition is presented based on the Lyapunov-Krasovskii method, which is dependent on the amount of delay. A result is given in the form of a linear matrix inequality, and the admitted upper bound of the delay can be easily obtained. The time delay dependent and independent results can be obtained, which include some previously published results. A numerical example is given to show the effectiveness of the main results.

Exponential stability of cellular neural networks with multiple time delays and impulsive effects

In this work, the stability issues of the equilibrium points of the cellular neural networks with multiple time delays and impulsive effects are investigated. Based on the stability theory of Lyapunov-Krasovskii, the method of linear matrix inequality （LMI） and parametrized first-order model transformation, several novel conditions guaranteeing the delaydependent and the delay-independent exponential stabilities are obtained. A numerical example is given to illustrate the effectiveness of our results.

Global exponential stability analysis of cellular neural networks with multiple time delays

Global exponential stability problems are investigated for cellular neural networks （CNN） with multiple time-varying delays. Several new criteria in linear matrix inequality form or in algebraic form are presented to ascertain the uniqueness and global exponential stability of the equilibrium point for CNN with multiple time-varying delays and with constant time delays. The proposed method has the advantage of considering the difference of neuronal excitatory and inhibitory effects, which is also computationally efficient as it can be solved numerically using the recently developed interior-point algorithm or be checked using simple algebraic calculation. In addition, the proposed results generalize and improve upon some previous works. Two numerical examples are used to show the effectiveness of the obtained results.

Asymptotical mean square stability of cellular neural networks with random delay

In this paper,the asymptotical mean-square stability analysis problem is considered for a class of cellular neural networks (CNNs) with random delay. Compared with the previous work,the delay is modeled by a continuous-time homogeneous Markov process with a finite number of states. The main purpose of this paper is to establish easily verifiable conditions under which the random delayed cellular neural network is asymptotic mean-square stability. By using some stochastic analysis techniques and Lyapunov-Krasovskii functional,some conditions are derived to ensure that the cellular neural networks with random delay is asymptotical mean-square stability. A numerical example is exploited to show the vadlidness of the established results.

Probabilistic Modelling of Microstructural Evolution in Zr Based Bulk Metallic Glass Matrix Composites during Solidification in Additive Manufacturing

Bulk metallic glass and their composites (BMGMCs) are a new class of materials which possess superior mechanical properties as compared to existing conventional materials. Owing to this, they are potential candidates for tomorrow’s structural applications. However, they suffer from poor ductility and little or no toughness which render them brittle and they manifest catastrophic failure under applied force. Their behavior is dubious, unpredictable and requires extensive experimentation to arrive at conclusive results. In present study, an effort has been made to design bulk metallic glass matrix composites by the use of modeling and simulation. A probabilistic cellular automaton (CA) model is developed and described in present study by author which is used in conjunction with earlier developed deterministic model to predict microstructural evolution in Zr based BMGMCs in additive manufacturing liquid melt pool. It is elaborately described with an aim to arrive at quantitative relations which describe process and steps of operations. Results indicate that effect of incorporating all mass transfer and diffusion coefficients under transient conditions and precise determination of probability number play a vital role in refining the model and bringing it closer to a level that it could be compared to actual values. It is shown that proposed tailoring can account for microstructural evolution in metallic glasses.

冠脉血清nidogen-2水平与冠心病相关性研究

目的探讨冠脉血清nidogen-2水平与冠心病的相关性,以期为临床治疗提供参考。方法本研究选取2021年7月—2022年4月重庆医科大学附属第一医院心血管内科收治的怀疑冠心病并接受冠状动脉造影的79例患者作为研究对象。根据患者冠脉造影结果分为冠心病组(n=64),非冠心病组(n=15)。其中冠心病组采用2种分组方式:(1)根据病变累及的冠状动脉支数分为单支组(n=26)、双支组(n=18)和三支组(n=20);(2)根据Gensini积分取三分位数分为低积分组(Gensini<45分,n=21),中积分组(45分≤Gensini≤80分,n=21),高积分组(Gensini>80分,n=22)。收集一般资料,分别测量并比较各组患者冠脉血清nidogen-2水平,统计分析不同病例组别的nidogen-2水平差异。结果冠心病组患者中男性、吸烟史占比高于非冠心病组,有统计学差异(P<0.05)。冠心病组患者nidogen-2水平低于非冠心病组,差异有统计学意义(P<0.05)。高积分组患者nidogen-2水平低于低、中积分组,中积分组患者nidogen-2水平低于低积分组,差异均有统计学意义(P<0.05)。单支组患者nidogen-2水平为(3.62±0.94)ng/m L,双支组为(2.97±0.86)ng/m L,三支组为(2.33±0.73)ng/m L。3组患者nidogen-2水平比较,差异有统计学意义(P<0.05)。两两比较发现,三支组患者nidogen-2水平低于单、双支组,双支组高于单支组,差异均有统计学意义(P<0.05)。Pearson相关分析结果显示,冠心病组患者冠脉血清nidogen-2水平与冠脉Gensini积分呈负相关(r=-0.44,P<0.05)。多元线性回归分析结果显示,Gensini积分与nidogen-2水平呈负相关(P<0.05)。结论nidogen-2可能是冠心病的保护因素,可作为评估冠状动脉病变严重程度的指标及潜在治疗靶点,为治疗动脉粥样硬化类心血管疾病提供新的突破点。

猪脱细胞真皮基质对大鼠瘘管模型的修复作用及其对TGF-β1/NF-κB p65信号通路的影响

目的:观察猪脱细胞真皮基质对大鼠瘘管模型创面的修复作用,以及对TGF-β1/NF-κB p65信号通路的影响,探讨其可能的修复机制。方法:40只健康SD大鼠适应性喂养1周后,随机分为假手术对照组、模型组、猪脱细胞真皮基质组(真皮组)、瘘管栓阳性对照组(瘘管栓组),每组10只。连续给予相应材料治疗2周后,采用ELISA法检测血清中白介素-1β(IL-1β)、白介素-6(IL-6)、血管内皮生长因子(VEGF)和前列腺素E2(PGE2)含量;取大鼠创面组织进行病理观察;Western blot法检测创面组织转化生长因子-β1(TGF-β1)、核转录因子-κB p65(NF-κB p65)及VEGF蛋白表达水平。结果:与模型组相比,治疗2周后真皮组和瘘管栓组大鼠的体质量明显增加(P<0.05),创面脓液明显减少。真皮组中血清IL-1β、IL-6和PGE2的含量比模型组低(P<0.05),VEGF含量比模型组高(P<0.05)。HE染色显示,与模型组相比,真皮组炎细胞浸润明显减少,胶原纤维明显增多并且更加致密。真皮组及瘘管栓组大鼠的创面组织TGF-β1和VEGF蛋白表达增加,NF-κB p65蛋白表达降低(P<0.05)。结论:猪脱细胞真皮基质可抑制大鼠瘘管创口组织炎症反应,促进血管新生及伤口愈合,且其促进胶原纤维生成的作用较瘘管栓更加明显,其机制可能与调控TGF-β1/NF-κB p65信号通路有关。

脊髓损伤后神经修复过程中的细胞微环境

背景:以往的研究显示单一改变脊髓损伤区域某一基因表达或者某一细胞的状态,对脊髓损伤后功能恢复无显著影响,而大量证据表明调控脊髓损伤后紊乱的细胞微环境是神经功能恢复的关键因素。目的:对脊髓损伤前后细胞微环境的生物学特性,包括多种细胞之间的相互调控以及细胞外组分对损伤神经修复的作用和机制进行综述。方法:由第一作者检索PubMed及Web of Science数据库,英文检索词为“spinal cord injury,glial cell,neuron,immune cell,neural stem cell,extracellular matrix,cytokine,extracellular vesicle,regeneration”。文献检索的时间范围为2000年1月至2021年12月,最终筛选出64篇文献进行分析。结果与结论:①脊髓损伤后,在细胞微环境的细胞组分中,占比最高的胶质细胞间的相互作用,以及与神经元的相互调控作用最为关键。②在脊髓损伤后的细胞外组分中,利用生物相容性良好的水凝胶模仿天然细胞外基质,可有效模拟和重建损伤区域内的细胞微环境,促进轴突伸长。③在脊髓损伤后的细胞外调节因子中,促炎因子如肿瘤坏死因子α和白细胞介素1β等加剧了细胞微环境的炎症反应,应用受体抑制剂或阻断相关通路抑制上述促炎因子的表达是一种有效的治疗方法,同时在脊髓微环境中增加白细胞介素10等抗炎因子的表达,抑制损伤区域炎症发展的研究也陆续出现。④最近被重视起来的细胞外囊泡作为传递信息的载体在细胞微环境中也发挥了重要作用。⑤文章揭示了脊髓损伤后细胞微环境中的包括细胞组分和细胞外组分之间的多组相互调控关系,证实了细胞微环境中各组分之间所发挥的神经修复作用并不是孤立的。

Identification of key genes and biological pathways in lung adenocarcinoma by integrated bioinformatics analysis

BACKGROUND The objectives of this study were to identify hub genes and biological pathways involved in lung adenocarcinoma(LUAD)via bioinformatics analysis,and investigate potential therapeutic targets.AIM To determine reliable prognostic biomarkers for early diagnosis and treatment of LUAD.METHODS To identify potential therapeutic targets for LUAD,two microarray datasets derived from the Gene Expression Omnibus(GEO)database were analyzed,GSE3116959 and GSE118370.Differentially expressed genes(DEGs)in LUAD and normal tissues were identified using the GEO2R tool.The Hiplot database was then used to generate a volcanic map of the DEGs.Weighted gene co-expression network analysis was conducted to cluster the genes in GSE116959 and GSE-118370 into different modules,and identify immune genes shared between them.A protein-protein interaction network was established using the Search Tool for the Retrieval of Interacting Genes database,then the CytoNCA and CytoHubba components of Cytoscape software were used to visualize the genes.Hub genes with high scores and co-expression were identified,and the Database for Annotation,Visualization and Integrated Discovery was used to perform enrichment analysis of these genes.The diagnostic and prognostic values of the hub genes were calculated using receiver operating characteristic curves and Kaplan-Meier survival analysis,and gene-set enrichment analysis was conducted.The University of Alabama at Birmingham Cancer data analysis portal was used to analyze relationships between the hub genes and normal specimens,as well as their expression during tumor progression.Lastly,validation of protein expression was conducted on the identified hub genes via the Human Protein Atlas database.RESULTS Three hub genes with high connectivity were identified;cellular retinoic acid binding protein 2(CRABP2),matrix metallopeptidase 12(MMP12),and DNA topoisomerase II alpha(TOP2A).High expression of these genes was associated with a poor LUAD prognosis,and the genes exhibited high diagnostic value.CONCLUSION Expression levels of CRABP2,MMP12,and TOP2A in LUAD were higher than those in normal lung tissue.This observation has diagnostic value,and is linked to poor LUAD prognosis.These genes may be biomarkers and therapeutic targets in LUAD,but further research is warranted to investigate their usefulness in these respects.

不同基体/团粒比网状结构硬质合金腐蚀性能研究

本研究以YG10粉末作为基体和YG8粉末作为团粒制备出4款不同基体/团粒体积配比的网状结构硬质合金(以下简称“网状合金”),通过对比样品显微组织、硬度、抗弯强度、极化曲线及电化学阻抗谱结果,利用扫描电镜对腐蚀形貌进行分析,研究基体/团粒体积比对网状合金组织结构、力学性能和在3.5%NaCl溶液中的腐蚀行为。结果表明:随着团粒比例的增加,网状合金在3.5%NaCl溶液中腐蚀电位和腐蚀电流密度先降低后升高,当基体与团粒比为30∶70时,合金综合性能最佳,其力学性能和耐腐蚀性能的协同作用有益于延长合金使用寿命。

单晶叶片基体表面微裂纹成因分析

单晶高温合金是制造先进航空发动机涡轮叶片的主要材料,其优异性能主要来源于消除了与主应力轴垂直的晶界,而单晶材料中如果出现再结晶会显著降低其高温力学性能。为探究发动机单晶涡轮导向叶片试验后在叶身前缘下缘板R区产生裂纹的原因,利用视频显微镜、金相显微镜和扫描电镜等手段对裂纹截面组织进行宏、微观分析,明确了R区的宏观裂纹为抗氧化涂层裂纹,宏观裂纹附近的叶片基体存在由于叶片表面胞状再结晶晶界开裂所引起的微裂纹。结果表明:单晶叶片表面产生胞状再结晶主要与叶片抛光、吹砂等修整过程中引入的塑性变形及后续的钎焊工艺有关;抗氧化涂层的开裂促进了胞状晶晶界的开裂;通过对导向叶片的多个截面组织进行对比分析,发现高温能够加速胞状再结晶的晶界开裂。

赖氨酰氧化酶与人类疾病

赖氨酰氧化酶(lysyl oxidases,LOXs)是一种能够催化细胞外基质蛋白(如胶原和弹性蛋白)交叉连接的酶类,这一功能使其在组织的稳定、重塑和伤口愈合中发挥重要作用.随着研究的不断深入,LOXs在细胞增殖、细胞趋化以及肿瘤发生等过程中也彰显出十分关键的作用.研究发现,一些诸如结缔组织病、剥脱综合症、铜代谢障碍性疾病及盆腔器官脱垂和骨疾等疾病的发生与LOXs有很大关系.综述了LOXs的生物合成、结构特点、多功能性以及与人类疾病的关系.

声带损伤后自身修复特点研究

目的通过研究兔声带固有层损伤后不同时期组织病理及主要细胞外基质(extra cellular matrix,ECM)的变化情况,探讨声带损伤后的自身修复特点。方法对实验用兔声带行锐性损伤深达声韧带,于术后3 d～12个月观察声带形态学变化,HE染色、Masson染色、Alcian Blue染色及免疫组化染色,观察声带组织学结构变化及固有层内胶原、透明质酸及纤维连接蛋白等主要ECM的分布及含量变化。结果兔声带损伤后3 d～3个月成纤维细胞明显增加,40 d～12个月纤维组织持续增生,12个月声带局部无分层结构。ECM中胶原在损伤后3 d～12个月含量均明显高于正常对照组(P<0.05),在固有层内不规则紊乱分布;透明质酸在损伤后40 d内含量有增加趋势,其后降低至正常对照组水平;纤维连接蛋白在损伤后40 d～12个月时含量均高于正常对照组(P<0.05),散在分布于固有层各层。结论兔声带损伤后,在损伤早、中期各种ECM分泌增加,主要表现为以胶原为主的纤维组织明显增多且呈无序排列,透明质酸略有增加,纤维连接蛋白明显增加;在损伤后期胶原和纤维连接蛋白含量持续高于正常,声带局部瘢痕形成。