Structure-oriented edge-preserving smoothing based on accurate estimation of orientation and edges

In this paper, we present a new method for reducing seismic noise while preserving structural and stratigraphic discontinuities. Structure-oriented edge-preserving smoothing requires information such as the local orientation and edge of the reflections. The information is usually estimated from seismic data with full frequency bandwidth. When the data has a very low signal to noise ratio （SNR）, the noise usually reduces the estimation accuracy. For seismic data with extremely low SNR, the dominant frequency has higher SNR than other frequencies, so it can provide orientation and edge information more reliably than other frequencies. Orientation and edge are usually described in terms of apparent reflection dips and coherence differences, respectively. When frequency changes, both dip and coherence difference change more slowly than the seismogram itself. For this reason, dip and coherence estimated from dominant frequency data can approximately represent those of other frequency data. Ricker wavelet are widely used in seismic modeling. The Marr wavelet has the same shape as Ricker wavelets in both time and frequency domains, so the Marr wavelet transform is selected to divide seismic data into several frequency bands. Reflection apparent dip as well as the edge information can be obtained by scanning the dominant frequency data. This information can be used to selectively smooth the frequency bands （dominant, low, and high frequencies） separately by structure-oriented edge-preserving smoothing technology. The ultimate noise-suppressed seismic data is the combination of the smoothed frequency band data. Application to synthetic and real data shows the method can effectively reduce noise, preserve edges, improve trackable reflection continuity, and maintain useful information in seismic data.

Sizing of Energy Storage Systems for Output Smoothing of Renewable Energy Systems

光伏、风力发电等可再生能源（renewable energysources，RESs）具有随机性、间歇性等特点。为了抑制RESs输出波动对电网的不利影响，提出了用于平滑RESs发电系统功率输出的储能系统（energy storage system，ESS）容量优化确定方法。利用离散傅里叶变换（discrete Fouriertransform，DFT）对RESs输出功率进行频谱分析，基于频谱分析结果，考虑ESS充放电效率、荷电状态（stateofcharge，soc）及RESs发电系统目标功率输出波动率的约束，确定所需ESS最小容量。采用美国华盛顿州实际观测风速数据及日本东北电力公司风电场接入电网20rnin有功功率波动规范（最大波动率为10％），在一风力发电系统中对该方法进行了验证。算例结果表明采用该方法能够以较小的容量将风机输出最大波动率由61．7％降到9．9％。

基于前馈非线性模型预测控制的类车机器人路径跟踪

类车机器人由于零件标准化程度低,侧偏刚度等轮胎力学参数难以准确获得,存在动力学建模十分困难的问题,因此现有研究工作通常以运动学模型作为类车机器人的控制模型,但由于其运动学模型存在模型失配,导致类车机器人与参考路径之间的误差、类车机器人的前轮转角和前轮转角速度出现剧烈振荡现象.针对前述问题,本文基于非线性模型预测控制(Nonlinear model predictive control,NMPC)的滚动优化原理,引入基于逆运动学模型的前馈转角信息,将前轮转向角作为预测模型的第四维,提出了一种基于前馈非线性模型预测控制(Feedforward NMPC,FNMPC)的类车机器人路径跟踪控制算法.并通过Simulink和CarSim进行了联合仿真,结果表明FNMPC有效减小了模型失配导致的振荡现象,同时具有较高的跟踪精度.其中前馈非线性模型预测控制器的位移误差幅值不超过0.1106 m,航向误差幅值不超过0.1253 rad.在相同工况下,线性模型预测控制、前馈线性模型预测控制、纯跟踪控制和Stanley控制误差发散,而本文提出的FNMPC相比已有NMPC跟踪精度更高,且控制增量绝对累计值相比NMPC控制器减小67.53%.通过线控类车机器人底盘作为实验平台完成的测试结果表明,NMPC系统在进入弯道时出现控制失控现象,在相同工况下,FNMPC系统能够有效完成对参考路径的跟踪,同时将位移误差幅值控制在0.1624 m以内,航向误差幅值控制在0.1138 rad以内.

Run_Length压缩算法的改进及C++的实现

针对传统的RunLength压缩算法在应对极端数据时所遇到的问题,提出了改进极端数据影响的措施,采取调整计数长度和调整传统RunLength算法的策略,不用特定字符作为压缩标志,而使用特殊字节位来用作压缩标志,并调整了区分计数字节和数据字节的方法.改进后的算法,大大提高了重复数据长度大于63和大于127的数据的压缩率,为RunLength算法有针对性应用提供了改进方案,同时,给出了RunLength压缩算法的C++程序代码.

机械应力调控血管平滑肌细胞的凋亡

背景:随着生物力学的发展,其在心血管疾病中的研究也日益广泛,通过研究血管的力学特性可以有效地揭示动脉粥样硬化、再狭窄等心血管疾病的发病机制,开发心血管疾病治疗的新思路和新方法。目的:综述机械应力刺激对血管平滑肌细胞凋亡的研究现状,寻找临床治疗潜在靶分子和信号通路,以期改善临床动脉粥样硬化及再狭窄等心血管疾病的临床治疗效果。方法:检索1992年1月至2023年5月在中国知网、PubMed及ScienceDirect数据库收录的文献。中文检索词为“血管平滑肌细胞,机械应力,剪切力,牵张力,凋亡”;英文检索词为“vascular smooth muscle cell,mechanical stress,shear stress,stretch stress,apoptosis”,最终纳入63篇文献进行综述分析。结果与结论:①血管平滑肌细胞的生理性和病理性凋亡都是为了适应血管力学变化而发生的适应性重构。不同部位的平滑肌细胞承受不同的力学刺激,其发病机制也不同。②低剪切力、生理剪切力和高剪切力可通过直接与平滑肌细胞表面分子、受体及蛋白等作用调控凋亡信号分子和抑制增殖实现对血管平滑肌细胞凋亡的调控,该部分未对促进增殖的研究进行综述。③低牵张力、生理牵张力和高牵张力可导致平滑肌细胞凋亡,但仍存在争议。平滑肌表面存在多种力学感受分子(如整合素及受体络氨酸激酶等)可以将力学信号转导为细胞内的化学信号(如Hippo通路),启动平滑肌细胞的凋亡信号,调控平滑肌细胞的凋亡。④总之,不同力学刺激通过多种信号分子,启动多个信号通路共同作用,调控平滑肌细胞的凋亡,例如剪切力主要通过刺激分泌前列腺素、转化生长因子等影响Fas/FasL、Akt通路;而牵张力主要通过Yes相关蛋白等调控YAP通路和Notch通路等。这些分子在不同的作用时间,或不同作用强度下可能发挥相反的双向作用,比如,小鼠血管平滑肌细胞受到10%生理牵张1 h时,其增殖增加;然而,人的血管平滑肌细胞牵张12 h后可以减少其增殖。临床可以通过寻找其关键作用时间点干扰力学转导关键分子,达到预防和治疗临床心血管疾病的目的。

人尿源性干细胞的分离培养及诱导分化为平滑肌细胞

背景:传统尿路修复重建手段受限于供体短缺、并发症多以及生理功能恢复不理想等问题,组织工程策略为此领域提供了新方向。鉴于尿路主要由肌性组织构成,其中关键在于发掘适合的种子细胞并高效诱导分化为平滑肌细胞,但关于不同平滑肌细胞诱导方案效能的对比研究仍较为匮乏。目的:旨在分离、培养及鉴定人尿源性干细胞,并比较两种不同成平滑肌诱导方案的效果。方法:采用多次离心法从11份健康成人志愿者尿液中分离提取尿源性干细胞,使用流式细胞仪进行表面标志物的鉴定,通过成骨、成脂诱导分化来验证尿源性干细胞的多向分化潜能。尿源性干细胞分别在含转化生长因子β1以及转化生长因子β1联合血小板衍生生长因子的成平滑肌细胞诱导分化培养基中诱导分化14 d,采用免疫荧光染色和Western blot检测平滑肌特异性蛋白(α-SMA、SM22)的表达差异。结果与结论:①成功从8份健康人尿液中分离出尿源性干细胞,细胞呈“米粒”样,具有很好的分裂增殖能力;②尿源性干细胞高表达间充质干细胞表面标志物CD73、CD90和CD44,极低表达造血干细胞表面标志物CD34和CD45,不表达CD19、CD105和HLA-DR;③经成骨和成脂诱导分化后,可见明显的钙结节和脂滴形成,茜素红染色和油红O染色结果呈阳性;④成平滑肌诱导培养14 d,免疫荧光染色显示转化生长因子β1/血小板衍生生长因子组尿源性干细胞成平滑肌诱导分化率显著高于转化生长因子β1组(P<0.005);⑤成平滑肌诱导培养14 d,Western blot检测显示转化生长因子β1/血小板衍生生长因子组α-SMA和SM22蛋白表达量显著高于转化生长因子β1组(P<0.005)。结果表明:尿源性干细胞可以通过多次离心法无创分离获取;相较于单纯转化生长因子β1,转化生长因子β1/血小板衍生生长因子联合应用能显著提高尿源性干细胞诱导分化为平滑肌细胞的效率。

ACSL4介导铁死亡及在动脉粥样硬化性心血管病中的潜在作用

背景:铁死亡是一种铁依赖性调节细胞死亡形式,其特征是铁依赖性脂质过氧化,长链酰基辅酶A合酶4参与脂质过氧化底物的形成进而导致铁死亡。近几年研究表明,长链酰基辅酶A合酶4介导铁死亡在动脉粥样硬化性心血管疾病中发挥关键作用。目的:总结长链酰基辅酶A合酶4的结构功能和调控机制及其介导铁死亡的潜在分子机制,阐述长链酰基辅酶A合酶4驱动铁死亡在动脉粥样硬化、缺血性脑卒中和心肌梗死中的应用,以期为治疗动脉粥样硬化心血管疾病提供新的治疗策略。方法:在PubMed数据库检索自建库起至2023年8月收录的相关文献,以“atherosclerosis,ferroptosis,long-chain acyl-coenzyme A synthase 4,ACSL4,glutathione peroxidase 4,ischemic stroke,myocardial infarction,endothelial cell,smooth muscle cells,foam cell”为检索词,最终纳入76篇文献进行综述分析。结果与结论:①长链酰基辅酶A合酶4参与形成多不饱和脂肪酸的辅酶衍生物并将其插入磷脂,为铁死亡发生的核心机制脂质过氧化提供底物;②在长链酰基辅酶A合酶4表达的调节因子中,整合素α6β4、细胞内囊泡转运因子p115、锌脂蛋白A20负调控其表达,同时多种miR通过结合3′-UTR下调其表达,相反长链酰基辅酶A合酶4的表达上调大部分通过转录因子转录调控;③长链酰基辅酶A合酶4依赖性生成含有多不饱和脂肪酸的磷脂是脂质过氧化并执行铁死亡必不可少的必要条件,且长链酰基辅酶A合酶4与谷胱甘肽过氧化酶4作为铁死亡的正负调控因子相互制约,其具体机制仍待进一步研究;④长链酰基辅酶A合酶4介导铁死亡参与动脉粥样硬化、心肌梗死、缺血性脑卒中的病理机制,动脉粥样硬化中内皮细胞损伤与长链酰基辅酶A合酶4介导的铁死亡密切相关,但长链酰基辅酶A合酶4参与泡沫细胞形成、平滑肌细胞表型转化、钙化的研究尚未见报道;⑤长链酰基辅酶A合酶4作为铁死亡的生物标志物和潜在靶点成为研究热点,靶向长链酰基辅酶A合酶4抑制铁死亡可能成为治疗动脉粥样硬化性心血管疾病的新方向,而抑制长链酰基辅酶A合酶4的药物研究较少,未来还需进一步研究。

炎性因子干扰素γ以焦亡途径影响人血管平滑肌细胞的迁移和凋亡

背景:子宫螺旋动脉重铸的顺利进行是正常妊娠的必要条件之一,血管平滑肌细胞是此过程的重要细胞。干扰素γ与妊娠早期螺旋动脉血管平滑肌细胞丢失相关,但具体机制尚未明确。目的:探讨干扰素γ通过NLRP3/caspase-1/GSDMD焦亡途径对血管平滑肌细胞迁移、凋亡生物学功能的影响。方法:人血管平滑肌细胞分为对照组和干扰素γ组,对照组正常培养,干扰素γ组采用10 ng/mL干扰素γ处理24 h。Transwell实验检测血管平滑肌细胞的迁移能力;荧光TUNEL实验及流式细胞术检测血管平滑肌细胞的凋亡情况;qPCR检测NLRP3和caspase-1 mRNA表达水平;Western blot检测NLRP3、caspase-1、cleaved N-terminal GSDMD蛋白表达水平。结果与结论:与对照组相比,干扰素γ组血管平滑肌细胞的迁移能力及凋亡率显著升高(P<0.05);与对照组相比,干扰素γ组血管平滑肌细胞中NLRP3和caspase-1 mRNA表达水平显著升高(P<0.05);与对照组相比,干扰素γ组血管平滑肌细胞中NLRP3、caspase-1、cleaved N-terminal GSDMD蛋白表达水平显著升高(P<0.05)。结果表明,干扰素γ可能通过NLRP3/caspase-1/GSDMD焦亡途径调控血管平滑肌细胞的迁移和凋亡。

SMOOTHING NEWTON ALGORITHM FOR THE CIRCULAR CONE PROGRAMMING WITH A NONMONOTONE LINE SEARCH

In this paper, we present a nonmonotone smoothing Newton algorithm for solving the circular cone programming(CCP) problem in which a linear function is minimized or maximized over the intersection of an affine space with the circular cone. Based on the relationship between the circular cone and the second-order cone(SOC), we reformulate the CCP problem as the second-order cone problem(SOCP). By extending the nonmonotone line search for unconstrained optimization to the CCP, a nonmonotone smoothing Newton method is proposed for solving the CCP. Under suitable assumptions, the proposed algorithm is shown to be globally and locally quadratically convergent. Some preliminary numerical results indicate the effectiveness of the proposed algorithm for solving the CCP.

EFFICIENT ESTIMATION OF FUNCTIONAL-COEFFICIENT REGRESSION MODELS WITH DIFFERENT SMOOTHING VARIABLES

In this article,a procedure for estimating the coefficient functions on the functional-coefficient regression models with different smoothing variables in different coefficient functions is defined.First step,by the local linear technique and the averaged method,the initial estimates of the coefficient functions are given.Second step,based on the initial estimates,the efficient estimates of the coefficient functions are proposed by a one-step back-fitting procedure.The efficient estimators share the same asymptotic normalities as the local linear estimators for the functional-coefficient models with a single smoothing variable in different functions.Two simulated examples show that the procedure is effective.

An Empirical Study of Good-Turing Smoothing for Language Models on Different Size Corpora of Chinese

Data sparseness has been an inherited issue of statistical language models and smoothing method is usually used to resolve the zero count problems. In this paper, we studied empirically and analyzed the well-known smoothing methods of Good-Turing and advanced Good-Turing for language models on large sizes Chinese corpus. In the paper, ten models are generated sequentially on various size of corpus, from 30 M to 300 M Chinese words of CGW corpus. In our experiments, the smoothing methods;Good-Turing and Advanced Good-Turing smoothing are evaluated on inside testing and outside testing. Based on experiments results, we analyzed further the trends of perplexity of smoothing methods, which are useful for employing the effective smoothing methods to alleviate the issue of data sparseness on various sizes of language models. Finally, some helpful observations are described in detail.

Mesh Smoothing Method Based on Local Wave Analysis

As the mesh models usually contain noise data,it is necessary to eliminate the noises and smooth the mesh.But existed methods always lose geometric features during the smoothing process.Hence,the noise is considered as a kind of random signal with high frequency,and then the mesh model smoothing is operated with signal processing theory.Local wave analysis is used to deal with geometric signal,and then a novel mesh smoothing method based on the local wave is proposed.The proposed method includes following steps：Firstly,analyze the principle of local wave decomposition for 1D signal,and expand it to 2D signal and 3D spherical surface signal processing;Secondly,map the mesh to the spherical surface with parameterization,resample the spherical mesh and decompose the spherical signals by local wave analysis;Thirdly,propose the coordinate smoothing and radical radius smoothing methods,the former filters the mesh points＇ coordinates by local wave,and the latter filters the radical radius from their geometric center to mesh points by local wave;Finally,remove the high-frequency component of spherical signal,and obtain the smooth mesh model with inversely mapping from the spherical signal.Several mesh models with Gaussian noise are processed by local wave based method and other compared methods.The results show that local wave based method can obtain better smoothing performance,and reserve more original geometric features at the same time.

Temporal Floorplanning Using Solution Space Smoothing Based on 3D-BSSG Structure

We develop a 3D bounded slice-surface grid （3D-BSSG） structure for representation and introduce the solution space smoothing technique to search for the optimal solution. Experiment results demonstrate that a 3D-BSSG structure based algorithm is very effective and efficient.

ANALYTICAL SMOOTHING EFFECT OF SOLUTION FOR THE BOUSSINESQ EQUATIONS

In this article, we study the analytical smoothing effect of Cauchy problem for the incompressible Boussinesq equations. Precisely, we use the Fourier method to prove that the Sobolev H^1 -solution to the incompressible Boussinesq equations in periodic domain is analytic for any positive time. So the incompressible Boussinesq equations admit exactly same smoothing effect properties of incompressible Navier-Stokes equations.

ANALYSIS ON CODE MULTIPATH MITIGATION BY PHASE-AIDED SMOOTHING

Multipath influence on code range under static condition is described firstly in this paper, and the problem that to what extent the phase-aided smoothing can mitigate multipath interference is detailed. Some problems regarding smoothing and mitigation are discussed. Suggestions based on the analysis has been made.

EXTENSION OF SMOOTHING FUNCTIONS TO SYMMETRIC CONE COMPLEMENTARITY PROBLEMS

The paper uses Euclidean Jordan algebras as a basic tool to extend smoothing functions, which include the Chen-Mangasarian class and the Fischer-Burmeister smoothing functions, to symmetric cone complementarity problems. Computable formulas for these functions and their Jacobians are derived. In addition, it is shown that these functions are Lipschitz continuous with respect to parameter # and continuously differentiable on J × J for any μ 〉 0.

A novel coordinated control strategy considering power smoothing for a hybrid photovoltaic/battery energy storage system

This work presents a novel coordinated control strategy of a hybrid photovoltaic/battery energy storage(PV/BES) system. Different controller operation modes are simulated considering normal, high fluctuation and emergency conditions. When the system is grid-connected, BES regulates the fluctuated power output which ensures smooth net injected power from the PV/BES system. In islanded operation, BES system is transferred to single master operation during which the frequency and voltage of the islanded microgrid are regulated at the desired level. PSCAD/EMTDC simulation validates the proposed method and obtained favorable results on power set-point tracking strategies with very small deviations of net output power compared to the power set-point. The state-of-charge regulation scheme also very effective with SOC has been regulated between 32% and 79% range.

HAZARD REGRESSION WITH PENALIZED SPLINE:THE SMOOTHING PARAMETER CHOICE AND ASYMPTOTICS

In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establish the consistency and the asymptotic normality of the penalized likelihood estimators. Numerical studies and an example are conducted to evaluate the performances of the new procedure.

A Study on Precipitation Products with High Resolution in Anhui Province Based on Thin Plate Smoothing Spline

In order to achieve refined precipitation grid data with high accuracy and high spatial resolution,hourly precipitation grid dataset with 1 km spatial resolution in Anhui Province from May to September (in the rainy season) in 2016 and from August 2017 to July 2018 was established based on thin plate smoothing spline (TPS),which meets the needs of climate change research and meteorological disaster risk assessment.The interpolation errors were then analyzed.The grid precipitation product obtained based on thin plate smoothing spline,CLDAS-FAST and CLDAS-FRT were evaluated.The results show that the interpolated values of hourly precipitation by thin plate smoothing spline are close to the observed values in the rainy season of 2016.The errors are generally below 0.9 mm/h.However,the errors of precipitation in the mountainous areas of eastern Huaibei and western Anhui are above 1.2 mm/h.On monthly scale,the errors in June and July are the largest,and the proportion of absolute values of the errors ≥2 mm/h is up to 2.0% in June and 2.2% in July.The errors in September are the smallest,and the proportion of absolute values of the errors ≥2 mm/h is only 0.6%.The root mean square (RMSE) is only 0.37 mm/h,and the correlation coefficient (COR) is 0.93.The interpolation accuracy of CLDAS-FRT is the highest,with the smallest RMSE (0.65 mm/h) and mean error ( ME =0.01 mm/h),and the largest COR (0.81).The accuracy of the precipitation product obtained by thin plate smoothing spline interpolation is close to that of CLDAS-FAST.Its RMSE is up to 0.80 mm/h,and its ME is only -0.01 mm/h.Its COR is 0.73,but its bias (BIAS) is up to 1.06 mm/h.

MODE SPACE SMOOTHING ALGORITHM TO ESTIMATE DOA OF COHERENT SIGNALS IMPINGING ON UNIFORM CIRCULAR ARRAY

A novel method to estimate DOA of coherent signals impinging on a uniform circular array( UCA) is presented in this paper. A virtual uniform linear array (VULA) is first derived by using spatial DFT technique, transforming the UCA from element space to phase mode space to obtain the properties of ordinary ULA, and then the well known spatial smoothing technique is applied to the VULA so that the lost rank of covariance matrix due to signal coherence can be retrieved. This method makes it feasible to use the simple MUSIC algorithm to estimate DOA of coherent signals impinging on a UCA without heavy computation burden. Simulation results strongly verify the effectiveness of the algorithm.