长角血蜱嗅觉相关分子NPC2基因的克隆与初步鉴定

NPC2蛋白是一种小分子的溶酶体蛋白,具有水溶性。在脊椎动物中,NPC2蛋白与胆固醇和脂质的结合和运输有关;在节肢动物中参与多种信息化学物质的结合和识别。为了进一步探究蜱体内NPC2蛋白的分子特性,本研究以长角血蜱为研究对象,对HL-NPC2基因进行了克隆和序列分析,构建了原核表达载体,表达后制备出鼠源多克隆抗体,同时利用实时荧光定量qPCR技术对NPC2在蜱的不同生长阶段及不同组织进行分析,后续做了嗅觉相关性试验。结果显示:HL-NPC2蛋白的ORF为468 bp,编码155个氨基酸;NPC2蛋白在长角血蜱体内以多聚体形式存在,在长角血蜱各个生长阶段和不同吸血阶段的各个组织中都有表达;嗅觉相关性试验表明NPC2蛋白可能与长角血蜱嗅觉相关。本次研究可为该蛋白的后续研究及新的基于嗅觉的蜱控制策略的设计提供理论基础。

山羊NPC1基因核心启动子鉴定与转录调控分析

NPC1基因编码的C型尼曼匹克蛋白1(NPC1)参与脂筏形成、病原微生物内吞以及内吞体的胞内转运等过程。本试验旨在阐明海南黑山羊NPC1基因的转录调控机制,为研究病原微生物与宿主细胞互作提供理论参考。首先,以山羊NPC1基因1466 bp启动子序列为模板,构建9个启动子5'端连续缺失的双荧光素酶报告载体,筛选NPC1基因核心启动子区;继而对核心启动子区的关键转录因子进行预测分析,构建转录因子结合位点缺失的双荧光素酶报告载体,筛选NPC1基因的关键转录因子结合位点。结果表明:山羊NPC1基因的核心启动子区位于转录起始位点上游-195 bp至-60 bp,并且该区域存在E2F3(-134/-120 bp)、SREBP-1(-107/-96 bp)、SP1(-68/-62 bp)等多个转录因子结合位点。双荧光素酶报告实验结果表明,缺失E2F3、SREBP-1、SP1三个转录因子结合位点均会使山羊NPC1基因启动子的转录活性显著下降(P<0.01),且缺失SREBP-1结合位点后NPC1基因转录活性下降最显著。提示,SREBP-1转录因子对海南黑山羊NPC1基因转录活性具有重要的调控作用。本试验成功鉴定山羊NPC1基因的核心启动子区(-195/-60 bp)及该区域的关键转录因子结合位点SREBP-1,为进一步研究山羊NPC1基因介导病原微生物与宿主互作分子机制提供理论基础。

基于SVPWM补偿优化的三电平NPC并网逆变器容错控制

为保证并网系统中三电平中点箝位(neutral point clamped,NPC)型并网逆变器单相桥臂短路或断路故障后持续运行,提出一种基于空间矢量脉宽调制(space vector pulse width modulation,SVPWM)的优化补偿型低共模电压容错控制策略。首先,通过分析故障后八开关三相逆变器(eight switch three phase inverters,ESTPI)拓扑开关状态对应的共模电压大小,确定参考电压矢量合成规则;然后,通过一个基波周期内中点电流情况分析中点电位波动机理,进而对空间矢量合成进行调节补偿;最后,设计低通滤波器和滞环控制器进一步对补偿进行优化调整,保证并网电流质量的同时有效抑制了直流母线中点电位偏移。仿真结果表明,该容错控制策略能够实现三电平NPC并网逆变器单相桥臂故障后并网系统的稳定可靠运行,每个基波周期有三分之一时间的共模电压得到改善,优化补偿后的并网电流质量显著提高,且在并网电流突变时具备良好的控制特性。

基于VSG控制的NPC型三电平并网逆变器研究

随着新能源的大规模并网,在逆变装置大比例接入时,由于缺乏同步发电机的惯性和阻尼,电网呈现出低惯性、欠阻尼的特点,容易受到冲击,稳定性差。而虚拟同步发电机(VSG)控制可以解决这个问题。为此,提出了一种基于虚拟同步发电机的NPC型三电平并网逆变器控制策略,相比传统两电平逆变器VSG控制策略,其可以显著提高电能输出质量。首先,建立VSG的小信号模型,分析转动惯量J和阻尼系数D对系统输出有功特性和频率的影响;其次,结合有功闭环传递函数,采用波特图和根轨迹进行稳定性分析;最后,通过MATLAB/Simulink仿真平台验证所提控制策略的可行性和有效性。

NPC三电平整流器的混合参数自适应控制

为降低中点箝位型(neutral point clamped,NPC)三电平整流器的电流谐波,在dq同步旋转坐标系下推导出带中点电压耦合项的NPC三电平整流器数学模型,并分析中点电压对电流控制的影响。对模型中的中点电压耦合项和交流侧等效电阻会增大电流谐波及无法通过常规方法进行准确估计的问题,设计一种混合参数自适应的迭代学习控制方法,以进行解耦控制并消除不确定参数的影响。通过构造Lyapunov函数和理论推导验证控制方法的稳定性。在整流器硬件平台上进行试验验证,结果表明,所设计的控制方法可有效降低电流谐波。

Complete Convergenceand Complete Moment Convergence for Weighted Sums of ANA Random Variables

In this paper,we investigate the complete convergence and complete moment conver-gence for weighted sums of arrays of rowwise asymptotically negatively associated(ANA)random variables,without assuming identical distribution.The obtained results not only extend those of An and Yuan[1]and Shen et al.[2]to the case of ANA random variables,but also partially improve them.

Valence Bands Convergence in p-Type CoSb_(3) through Electronegative Fluorine Filling

Band convergence is considered to be a strategy with clear benefits for thermoelectric performance,generally favoring the co-optimization of conductivity and Seebeck coefficients,and the conventional means include elemental filling to regulate the band.However,the influence of the most electronegative fluorine on the CoSb_(3) band remains unclear.We carry out density-functional-theory calculations and show that the valence band maximum gradually shifts downward with the increase of fluorine filling,lastly the valence band maximum converges to the highly degenerated secondary valence bands in fluorine-filled skutterudites.

Call for Papers——Feature Topic Vol.22,No.3,2025 Special Issue of China Communications:Convergence of 6G empowered Edge Intelligence and Generative AI:Theories,Algorithms,and Applications

Generative artificial intelligence(AI),as an emerging paradigm in content generation,has demonstrated its great potentials in creating high-fidelity data including images,texts,and videos.Nowadays wireless networks and applications have been rapidly evolving from achieving“connected things”to embracing“connected intelligence”.Generative AI has been recognized as a fundamentally innovative technology to drive the advancement of intelligent wireless communications and networks.

Diagnostic values of questionnaires of Convergence Insufficiency Symptom Survey and College of Optometrists Vision Development Quality of Life in the screening of convergence insufficiency

AIM:To compare and analyse the diagnostic efficacy of the College of Optometrists Vision Development Quality of Life Questionnaire(COVD-QOL)and the Convergence Insufficiency Symptom Survey(CISS)in detecting convergence insufficiency and to compare their diagnostic value in clinical applications.METHODS:Using the diagnostic test method,62 adult patients with convergence insufficiency(age:24.74±3.75y)and 62 normal participants(age:23.61±3.13y)who visited the Optometry Clinic of West China Hospital of Sichuan University from April 2021 to January 2023 were included.All subjects completed the CISS and COVD-QOL.Statistical analysis of the sensitivity and specificity of the CISS and COVD-QOL and comparison and joint experimental analysis of their diagnostic efficacy were performed.RESULTS:The sensitivity of the CISS and COVD-QOL for convergence insufficiency was 64.5%and 71.0%,respectively,while the specificity was 96.8%and 67.7%,respectively.Compared to the CISS alone,the combination of the CISS and COVD-QOL demonstrated lower sensitivity and specificity.The areas under the receiver operating characteristic curve of CISS,COVD-QOL and CISS combined with COVD-QOL were 0.806,0.694 and 0.782,respectively.CONCLUSION:Considering the low sensitivity of the CISS and the low specificity of the COVD-QOL,it is recommended to supplement these questionnaires with other screening tests for the detection of convergence insufficiency.

三电平NPC变换器电流纹波与EMI优化调制策略

针对三电平中点钳位型NPC(neutral point clamped)变换器开关频率提高导致变换器电流纹波与电磁干扰噪声增大的问题,提出1种基于电流纹波预测的变开关频率调制策略,以降低三电平NPC变换器电流纹波、谐波噪声及电磁干扰噪声。根据电流纹波的要求计算出开关周期与采样周期并合成最新的开关周期,形成反馈,从而实现变频调制。使随机周期分布在期望周期的周围,从而使变换器的谐波噪声和电磁噪声更加均匀地分布在较宽的频段上,以达到减少变换器电磁噪声的目的,并改善输出电感上的电流纹波。相关仿真及实验结果表明,相较于传统的调制策略,所提调制策略共模噪声降低了约20 dB/μV,差模噪声降低了约10 dB/μV,其输出电感电流纹波幅值也有相应的减少。

GLOBAL CONVERGENCE OF A CAUTIOUS PROJECTION BFGS ALGORITHM FOR NONCONVEX PROBLEMS WITHOUT GRADIENT LIPSCHITZ CONTINUITY

A cautious projection BFGS method is proposed for solving nonconvex unconstrained optimization problems.The global convergence of this method as well as a stronger general convergence result can be proven without a gradient Lipschitz continuity assumption,which is more in line with the actual problems than the existing modified BFGS methods and the traditional BFGS method.Under some additional conditions,the method presented has a superlinear convergence rate,which can be regarded as an extension and supplement of BFGS-type methods with the projection technique.Finally,the effectiveness and application prospects of the proposed method are verified by numerical experiments.

Some convergence theorems of fuzzy concave integral on fuzzyσ-algebra

In this paper,we consider the extension of the concave integral from classical crispσ-algebra to fuzzyσ-algebra of fuzzy sets.Firstly,the concept of fuzzy concave integral on a fuzzy set is introduced.Secondly,some important properties of such integral are discussed.Finally,various kinds of convergence theorems of a sequence of fuzzy concave integrals are proved.

Quantitative analysis and prediction of the sound field convergence zone in mesoscale eddy environment based on data mining methods

The mesoscale eddy(ME)has a significant influence on the convergence effect in deep-sea acoustic propagation.This paper use statistical approaches to express quantitative relationships between the ME conditions and convergence zone(CZ)characteristics.Based on the Gaussian vortex model,we construct various sound propagation scenarios under different eddy conditions,and carry out sound propagation experiments to obtain simulation samples.With a large number of samples,we first adopt the unified regression to set up analytic relationships between eddy conditions and CZ parameters.The sensitivity of eddy indicators to the CZ is quantitatively analyzed.Then,we adopt the machine learning(ML)algorithms to establish prediction models of CZ parameters by exploring the nonlinear relationships between multiple ME indicators and CZ parameters.Through the research,we can express the influence of ME on the CZ quantitatively,and achieve the rapid prediction of CZ parameters in ocean eddies.The prediction accuracy(R)of the CZ distance(mean R:0.9815)is obviously better than that of the CZ width(mean R:0.8728).Among the three ML algorithms,Gradient Boosting Decision Tree has the best prediction ability(root mean square error(RMSE):0.136),followed by Random Forest(RMSE:0.441)and Extreme Learning Machine(RMSE:0.518).

On power series statistical convergence and new uniform integrability of double sequences

In the present paper,we mostly focus on P_(p)^(2)-statistical convergence.We will look into the uniform integrability via the power series method and its characterizations for double sequences.Also,the notions of P_(p)^(2)-statistically Cauchy sequence,P_(p)^(2)-statistical boundedness and core for double sequences will be described in addition to these findings.

Convergence Zone Width Analysis Based on Ray Cluster Theory and Its Application in the Array Depth Optimization of Active Sensors

The active sensor often uses the convergence zone mode to detect a distant target in the deep ocean.However,convergence zones are regions with limited widths that only appear at some discrete distances.Thus,widening the width by adjusting the transmitting array depth facilitates target observation and detection.Traversal search is an effective method for determining the optimal depth,but the heavy computation burden resulting from the calculation of the transmission losses at all source depths impedes its application.To solve the problem,a fast method based on ray cluster theory is proposed.Due to the coherent sound field structure in the deep ocean,several ray clusters with different departure angles radiate from the source,where ray clusters with small departure angles reverse in the water and form a convergence zone.When the source is set to a depth that only the first ray cluster inverts in water,the maximum width of the convergence zone is obtained.Based on this,an optimal transmitting array depth selection method utilizing the reversion condition of the first ray cluster is formulated.Simulation results show that the active sensor can achieve a large convergence zone width with real-time performance using the proposed method.

Multi-modal knowledge graph inference via media convergence and logic rule

Media convergence works by processing information from different modalities and applying them to different domains.It is difficult for the conventional knowledge graph to utilise multi-media features because the introduction of a large amount of information from other modalities reduces the effectiveness of representation learning and makes knowledge graph inference less effective.To address the issue,an inference method based on Media Convergence and Rule-guided Joint Inference model(MCRJI)has been pro-posed.The authors not only converge multi-media features of entities but also introduce logic rules to improve the accuracy and interpretability of link prediction.First,a multi-headed self-attention approach is used to obtain the attention of different media features of entities during semantic synthesis.Second,logic rules of different lengths are mined from knowledge graph to learn new entity representations.Finally,knowledge graph inference is performed based on representing entities that converge multi-media features.Numerous experimental results show that MCRJI outperforms other advanced baselines in using multi-media features and knowledge graph inference,demonstrating that MCRJI provides an excellent approach for knowledge graph inference with converged multi-media features.

Ganoderic acid A ameliorates renalfibrosis by suppressing the expression of NPC1L1

Objective: The study aimed to explore the protective mechanism of Ganoderic acid A (GAA) in renal fibrosisand to verify that GAA can ameliorate renal fibrosis by regulating the Niemann-pick C1-like 1 (NPC1L1) gene. Methods:Transforming growth factor beta1 (TGF-β1) was used to treat Human Kidney-2 (HK-2) cells to establish a renal fibrosismodel. The differentially expressed genes in the control (CTRL) group, TGF-β1 group, and TGF-β1 + GAA group werescreened via transcriptome sequencing technology and verified by qPCR and Western blot experiments. The NPC1L1gene overexpression plasmid was constructed. The expression levels of N-cad, E-cad, and Slug-related proteins inCTRL, TGF-β1, TGF-β1+GAA (25 μg/mL), and TGF-β1+GAA (25 μg/mL) + NPC1L1 Overexpression (OE) groupswere detected by qPCR and Western blot analysis. Western blot analysis was used to identify the extracellular matrixassociated proteins Tenascin-C, α-SMA, and fibrosis-related protein Collagen I. Fibrosis marker protein Fibronectinwas detected and quantified by immunofluorescence. Results: Transcriptomic sequencing revealed that TGF-β1stimulation led to 267 differentially regulated genes, with 118 up-regulated and 149 down-regulated, while furthermodulation of 213 genes, comprising 112 up-regulated and 101 down-regulated genes, was observed in the GAAintervention group. The target gene in these processes was found to be NPC1L1 by investigations using GeneOntology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). qPCR and Western blot resultsconfirmed that TGF-β1 increased NPC1L1 expression, which was attenuated by GAA. Additionally, TGF-β1upregulated N-cad and Slug. However, GAA reversed this effect and NPC1L1 overexpression partially rescued theGAA effect. TGF-β1 also decreased E-cad expression, reversed by GAA, and NPC1L1 overexpression antagonized thisreversal. Furthermore, TGF-β1 promoted Collagen I, α-SMA, and Tenascin-C expression, and GAA reduced theselevels, effects that were reversed by NPC1L1 overexpression. Immunofluorescence results showed that TGF-β1increased fibronectin expression, which was decreased by GAA, and increased by NPC1L1 overexpression.Conclusion: GAA ameliorates renal fibrosis by antagonizing NPC1L1 gene expression inhibiting epithelialmesenchymal transition and reducing extracellular matrix formation.

NPC型直挂储能变流器桥臂断路故障下低电压穿越的容错控制

NPC型直挂储能变流器长期运行可能发生桥臂断路故障造成设备停运以及影响低电压故障穿越,基于故障相与直流母线中点直连构成虚拟桥臂重构容错故障拓扑,提出了基于模型预测控制的桥臂容错低电压穿越控制策略。考虑重构后的容错拓扑结构降低了直流侧电压的利用率,研究分析了该容错结构进行低压穿越的最大输出电流整定方法。由于低电压穿越过程中电压跌落后的容错拓扑输出特性发生改变,对储能直挂容错结构的输出电流、电压进行模型预测矢量分析,推导出电压跌落与最大输出电流的关系式。在重构的空间电压矢量内选择能够支撑低电压穿越的矢量状态,控制储能变流器按照低电压穿越技术规范进行有功无功功率分配,支撑电网电压。仿真结果验证了所提出的控制策略保证容错拓扑结构可以在桥臂故障期间运行的有效性以及低电压穿越过程中提供无功功率支撑的可靠性。

Smartphone use patterns and the impact on accommodation and convergence system of the eyes among Malaysian teenagers

AIM:To determine the smartphone use patterns and effects of smartphone use on accommodation and convergence system of the eyes among Malaysian teenagers.METHODS:A total of 62 participants aged between 13 and 17y were involved.A self-administered questionnaires containing 12 items was used to evaluate the smartphone usage patterns.This was followed by an eye examination,involving a battery of accommodation and convergence assessments before and after the smartphone use.The data analysis comprised descriptive statistics,paired t-test,and correlation coefficients.RESULTS:The use of smartphones is at a high level and at an optimal distance daily,with more than 6h a day watching video films,games,and completing school projects.Majority of the participants not reported eye strain factors and eye prescription changes with the use of digital devices.The use of a smartphone continuously for 30min was found to significantly decrease amplitude of accommodation,accommodative facility,and positive relative accommodation(P<0.001).Meanwhile,the lag of accommodation parameters and negative relative accommodation increased with the use of smartphones significantly(P<0.001).The near point of convergence(NPC)and distance and near negative fusional vergence decreased significantly(P<0.001).The NPC parameter was found to have a weak negative association with the frequency of smartphone use(R=-0.276,P<0.05).CONCLUSION:Frequent and continuous use of smartphones have increased visual stress and resulted in weakness of accommodation and vergence functions.Therefore,frequent break is mandatory when using a smartphone and appropriate visual hygiene,the 20-20-20 rule(every 20min,view something 20 feet away for 20s)are required during smartphone use to maintain visual function.

Spatial Differentiation and Convergence Trend of High-quality Development Level of China’s Tourism Economy

This paper aims to interpret the connotation of high-quality development of tourism economy(HQTE)from the perspective of the new development concepts of innovation,coordination,green,openness and sharing,and then to evaluate the spatial differenti-ation of China’s HQTE based on provincial panel data from 2009 to 2018.Specifically,we employ the spatial convergence model to ex-plore the absolute and conditionalβconvergence trends of HQTE in the whole country and the eastern,central and western regions of China.Our empirical results reveal that:1)within the decade,from 2009 to 2018,regions of China with the highest HQTE index is its eastern region followed by the central region and then the western region,but the fastest growing one is the western region of China fol-lowed by the central region and then the eastern region.2)Whether or not the spatial effect is included,there are absolute and condition-alβconvergence in HQTE in the whole country and aforementioned three regions.3)The degree of government attention as well as the level of economic development and location accessibility are the positive driving factors for the convergence of HQTE in the whole country and the three regions.The degree of marketization and human capital have not passed the significance test either in the whole country or in the three regions.The above conclusions could deepen the understanding of the regional imbalance and spatial conver-gence characteristics of HQTE,clarify the primary development objects,and accomplish the goal of China’s HQTE.