Weighted Pseudo Almost Periodic Solutions for a Class of Hematopoiesis Model with Time-Varying Delay

In this paper, firstly, a notion of a class of generalized weighted pseudo al- most periodic function is introduced, then we investigate some basic and essential properties of the space that consists of these functions. Finally, we study the exis- tence of weighted pseudo almost periodic solutions to hematopoiesis model with time- varying delay.

伪抛物型p-Kirchhoff方程的爆破解

该文研究了一类具有变指数的伪抛物型p-Kirchhoff方程的齐次Dirichlet初边值问题.首先,采用改进的势阱法和辅助函数法,对初始能量进行最优分类,得到解的爆破和整体存在的判据.其次,分别得到了解的爆破时间估计和整体解的大时间性态.

胶质母细胞瘤恶性进展中不同细胞亚群的动态轨迹和细胞通讯网络

目的:探索胶质母细胞瘤(glioblastoma,GBM)恶性进展过程中细胞亚群的动态轨迹以及免疫细胞亚群之间的通讯网络,结合GBM患者的转录组数据和临床信息,挖掘GBM恶性进展过程中的关键风险标志物,以期为该疾病的治疗和预后提供科学依据。方法:基于单细胞测序数据分析方法,构建GBM恶性进展中的细胞亚群图谱,利用Monocle2技术构建GBM恶性进展中肿瘤细胞亚群的动态进展轨迹,基于基因富集分析,挖掘肿瘤细胞亚群随GBM恶性进展中显著变化的基因所富集的生物学过程,利用CellChat软件识别不同免疫细胞亚群间的复杂通讯网络,通过生存分析识别GBM恶性进展中影响患者预后的关键风险分子标记物。结果:单细胞测序数据分析识别出6种不同的细胞类型,包括淋巴细胞、周细胞、少突神经胶质细胞、巨噬细胞、胶质瘤细胞、小胶质细胞,单细胞数据集中了27151个细胞,其中包含3881个来源于低级别胶质瘤患者的细胞,10166个来源于新诊断GBM患者的细胞,13104个来源于复发性胶质瘤患者的细胞。胶质瘤细胞亚群逆时序分析提示,胶质瘤细胞亚群在恶性进展中存在着明显的细胞异质性;免疫细胞亚群的细胞相互作用分析揭示,GBM恶性进展中不同免疫细胞亚群之间的通讯网络共识别出22条具有生物学意义的配体-受体对,涉及12条通路;生存分析识别出8个与GBM患者预后密切相关的基因,其中SERPINE1、COL6A1、SPP1、LTF、C1S、AEBP1、SAA1L是GBM患者的高风险基因,ABCC8是GBM患者的低风险基因。结论:深入揭示了GBM恶性进展中胶质瘤细胞亚群的动态变化以及免疫细胞亚群之间的通讯模式,对于理解GBM的复杂生物学过程具有重要意义,为GBM的精准医疗和治疗决策提供了科学依据,也为GBM患者更准确的预后评估提供了新的线索。

可级联组网的无线时间比对系统设计

随着科技的发展,越来越多的场合需要实现多个终端间的纳秒量级高精度时间比对,例如现代化军事靶场、战场、雷达观测基地等。现阶段常用的纳秒量级多终端间的时间比对方法是导航卫星共视法,该方法需要搭建数据交换链路,应用的灵活性受限。本文基于无线伪随机码测距原理、双向时间比对原理和码分多址技术,设计出一套可以自适应组网的高精度时间比对系统,不需要额外搭建数据交互通路即可实现级联节点之间的纳秒量级时间比对。其次,分析了利用该系统实现纳秒量级时间比对的技术难点,并提出了相应的解决方法。最后,搭建实验平台对设计的时间比对系统进行验证。实验结果表明,在500 m的无线比对基线下,可以实现优于0.5 ns的静态时间比对精度。

伪时移地震在油田开发中后期剩余油分析中的应用

时移地震在剩余油研究中具有显著优势,但需要前后两次或多次采集的地震数据在采集处理方面具有严格的一致性,因此限制了其推广应用。为了避开传统时移地震研究的不足,提出了伪时移地震概念。伪时移地震研究不再重点关注两次或多次地震资料的一致性,而是重点分析地震资料对地质油藏问题的响应特征。在分析过程中综合利用多种地震资料去伪存真,结合正演分析的结果,获得可靠准确的地质油藏认识,然后分析认识差异并了解油藏开发动态变化的规律,用于指导剩余油分析。渤海F油田目的层埋深较浅,为曲流河沉积,储层物性较好。该油田前、后采集的两套地震数据时间跨度为12年,在采集和处理方面均存在显著差异。将伪时移地震用于该油田的剩余油分析,通过分析前、后两次地震资料的地质油藏认识,可以较好地判断油藏因注水开发所导致的油水关系变化,这种认识比油藏数值模拟结果更具指导意义,据此可以明确剩余油富集区域,为井位部署和实施提供建议。

低抖动激光触发伪火花开关的研究

伪火花开关已经成功地应用于各种脉冲功率应用,包括欧洲大型强子对撞机、反导雷达系统、航空发动机点火等。对于这样的应用,降低开关的延迟和抖动来提升稳定性是非常重要的。设计了一种激光触发伪火花开关,使用波长532 nm的激光,在不同气压、工作电压和触发能量下,测试激光触发伪火花开关的阳极着火延迟时间和抖动两项参数。测试结果表明,增加激光能量可以降低开关的延迟和抖动,实现开关稳定性的激光能量阈值在1.5 mJ,可以使得开关的抖动小于1 ns,继续增大触发能量,开关的延迟和抖动不再明显变化;此外,增大管内的氢气压强可降低开关的延迟和抖动;当触发能量足够大时,改变阳极电压,开关的延迟和抖动不随开关电压而改变。

载体孔径分布集中度对Ni-Mo催化剂上芘加氢反应的影响

采用NaAlO_(2)-Al(SO_(4))_(3)法制备得到拟薄水铝石,通过控制拟薄水铝石的老化时间来调节拟薄水铝石的晶粒尺寸,得到比表面积、孔体积、孔径基本相同,孔集中度有所差异的4种不同孔结构的载体。以芘作为模型化合物在高压微型固定床反应装置上考察了4种载体所制备Ni-Mo催化剂的芳烃加氢饱和性能。采用X射线衍射仪、X射线光电子能谱仪、透射电子显微镜和色谱-质谱联用仪等对拟薄水铝石、载体、催化剂进行表征。结果表明:随着老化时间的增加,拟薄水铝石的结晶度和晶粒尺寸增加;载体的比表面积、孔体积和最可几孔径相近,孔径分布集中度增加;表面总羟基数量和碱性羟基所占比例逐渐降低,氧化态催化剂金属和载体之间相互作用力降低,硫化后催化剂硫化度以及Ⅱ类多层活性相所占比例增加。芘的加氢评价结果表明,随着载体孔径分布集中度的增加,芘加氢转化率提高。说明硫化度和Ⅱ类活性相所占比例增加有利于提高催化剂加氢性能,载体孔径分布集中度提高后,8~10 nm孔所占的有效比表面积明显增加,更有利于分子扩散进入孔内接触到有效活性中心。

北斗新体制BOC B1C导航信号模拟与生成

卫星导航信号模拟与测试作为全球卫星导航定位系统研制建设及导航接收机厂家测试验证的必要环节,其相关技术的进步集中反映了一个国家卫星导航系统建设和应用的水平。随着北斗新体制BOC信号的应用推广,给导航信号模拟与测试又提出了新的要求和挑战,基于伪距迭代和时延滤波技术,实现了对北斗新体制BOC B1C信号的基带生成,并利用开源软件接收机平台对自生成的基带信号进行了捕获、跟踪、解调、定位解算,定位结果显示,三维定位误差方差优于0.74 m,二维定位误差方差优于0.43 m,该模拟信号能够满足测试要求。

LEO星载GPS实时精密定轨伪模糊度随机过程参数优化

提出在定轨策略及其他变量不变的情况下,使用一种数值步进的搜索比较方法,以确定伪模糊度随机过程参数的最优设置。使用GRACE-C、SWARM-A两颗LEO卫星2021年doy92~101共10 d的GPS数据及同时段的CNT、MADOCA两种实时精密星历产品,以模拟在轨实时精密定轨的方式,对伪模糊度随机过程参数开展优化实验。结果表明,在伪模糊度参数最优值方案下,两颗LEO卫星的实时精密定轨三维位置误差(RMS)约为4.62~7.56 cm,相比于传统模糊度浮点解方案,使用CNT和MADOCA产品的实时定轨精度分别平均提升约39.15%和29.61%。

多智能体系统的动态面渐近补偿算法

针对一类具有磁滞输入的多智能体系统协同控制问题,设计一种基于动态面的神经网络有限时间性能渐近控制补偿算法。首先,通过Funnel控制结合有限时间性能函数,确保一致性误差可以在有限时间内进入预定义范围。其次,使用径向基函数神经网络(RBFNN)和不等式变换消除系统内未知非线性函数和未知外部扰动带来的不利影响。此外,通过估计一些未知变量的上界,大幅减少设计过程中所需自适应律数;同时,提出一种具有双曲正切函数的非线性滤波器,避免传统反步控制中的“微分爆炸”问题,并消除滤波器误差。最后,基于所提非线性滤波器设计一种磁滞伪逆补偿信号,在不需要构建磁滞逆的情况下有效补偿未知磁滞。利用李雅普诺夫稳定性理论,验证了闭环系统内所有信号都有界,一致性误差渐近收敛至零。仿真实例也表明了所提算法的有效性。

基于伪随机序列的松散煤体声学测温方法及应用

长期以来,采空区、煤堆、煤仓等空间的煤自燃火灾时有发生,受限于工作区域的复杂环境和火源探测技术瓶颈等因素,较难实现煤自燃灾害高温点的快速量化识别。而声学测温技术具有测量精度高、测温范围宽、测量空间大等特点,可实现采空区等隐蔽火源位置精准探测且极具发展前景。目前该技术在松散煤体温度测量领域尚处于基础研究和实验室研究阶段,仍需开展大量研究。基于伪随机序列的优越性能,将其引入作为声源信号,并根据声学测温原理和伪随机序列声源信号产生原理,搭建了松散煤体声波测温试验系统。系统主体部分包括声学测试系统、程序升温系统、隔音系统和煤样箱体,结合试验测试和仿真模拟方法,验证了系统的准确性。利用理论分析、Matlab仿真和试验测试相结合的方法,开展伪随机序列声源信号的失真特性研究,确定了该信号的最佳处理方法,成功将其应用于松散煤体测温中。结果表明:伪随机序列可以作为采空区、煤堆、煤仓等空间的松散煤体声学测温的声源信号,但需运用二次相关PHAT–β算法对伪随机序列声源信号发生频率区间(1000~3000 Hz)进行处理,使频带变窄,能量集中;运用伪随机序列声源信号测量声波在松散煤体中飞渡时间,发现不同距离下声波飞渡时间测量结果误差小于5%,并通过了对比验证;伪随机序列作为松散煤体的测温声源信号时,所反演温度与不同粒径的煤样温度之间的平均绝对误差为2.051℃,平均误差率5.293%,能够较为精准、可靠地反演煤温。

一种Pseudo-Zernike矩的改进算法

Pseudo-Zernike矩在模式识别中被广泛采用。但由于Pseudo-Zernike矩的复杂性,相关算法研究尚未得到良好解决。文中对常用算法进行改进,提出了一种直接将矩形图像映射到单位圆内进而求取Pseudo-Zernike矩的算法,并将其应用于识别阿拉伯数字。实验结果表明该算法在计算速度和识别精度上都有明显提高。

Study and Application of Horizontal Well Productivity Formula with Continuous Time-Varying Considered

The horizontal well technology has been widely applied to enhanced oil recovery for low permeability and heavy oil reservoir. It is the important basis for designing and optimizing horizontal well to determine the productivity. The productivity determination of horizontal wells in offshore oil fields is mainly based on the actual productivity data of producing directional wells in the similar reservoirs nearby. Considering pressure drop and oil layer thickness to calculate the productivity, this method lacks certain theoretical basis and requires rich working experience for reservoir engineers. The other method is Joshi Formula which needs the known horizontal well control radius to be known. But the control radius is man-made at certain degree. In order to address the shortcomings of existing methods, a new reservoir engineering method was proposed to determine the horizontal well productivity formula, horizontal flow pattern and control radius based on the principle of equivalent flow resistance and conformal transformation. This method has overcome the disadvantage of determining on person. It provided some theoretical basis for getting the horizontal well productivity and is of some guiding meaning for evaluating the productivity of adjustment wells and development wells.

DOPPLERLET BASED TIME-FREQUENCY REPRESENTATION VIA MATCHING PURSUITS

A new time-frequency representation called Dopplerlet transform, which uses the dilated, translated and modulated windowed Doppler signals as its basis functions, is proposed, and the Fourier transform, short-time Fourier transform (including Gabor transform), wavelet transform, and chirplet transform are formulated in one framework of Dopplerlet transform accordingly.It is proved that the matching pursuits based on Dopplerlet basis functions are convergent, and that the energy of residual signals yielded in the decomposition process decays exponentially. Simulation results show that the matching pursuits with Dopplerlet basis functions can characterize compactly a nonstationary signal.

High Precision Time Domain Forward Modeling for Crosshole Electromagnetic Tomography

To improve the resolution of crosshole electromagnetic tomography, high precision of forward modeling is necessary. A pseudo-spectral time domain （PSTD） forward modeling was used to simulate electromagnetic wave propagation between two boreholes. The PSTD algorithm is based on the finite difference time domain （FDTD） method and uses the fast Fourier transform （FFT） algorithm for spatial derivatives in Maxwell＇s equations. Besides having the strongpoint of the FDTD method, the calculation precision of the PSTD algorithm is higher than that of the FDTD method under the same calculation condition. The forward modeling using the PSTD method will play an important role in enhancing the resolution of crosshole electromagnetic tomography.

Time Domain Synchronous OFDM System for Optical Fiber Communications

A spectrum efficient OFDM scheme named Time Domain Synchronous-OFDM(TDS-OFDM)is introduced into coherent optical transmission system,in which the pseudo noise(PN)sequence is exploited as guard interval to realize frame synchronization,compensate the carrier frequency offset(CFO),and estimate and equalize channel simultaneously.Since there is no pilot signals or training symbols in TDS-OFDM,the proposed scheme can achieve higher spectral efficiency(SE)above 10%improvement comparing with CPOFDM.The proposed method is implemented and verified in a 28GBaud QPSK OFDM system and a 28GBaud 16QAM OFDM system.It is demonstrated that the proposed scheme shows high CFO estimation accuracy and synchronous accuracy.Under CFO and linewidth of laser source set as 100MHz and 100kHz respectively,BER of QPSK OFDM system is below 3.8e-3 at the optical signal-to-noise ratio(OSNR)of 13dB,and BER of 16QAM OFDM system is below 3.8e-3 at the OSNR of 20dB.

FM interference suppression for PRC-CW radar based on adaptive STFT and time-varying filtering

The influence of frequency modulation （FM） interfer- ence on correlation detection performance of the pseudo random code continuous wave （PRC-CW） radar is analyzed. It is found that the correlation output deteriorates greatly when the FM inter- ference power exceeds the anti-jamming limit of the radar. Accord- ing to the fact that the PRC-CW radar echo is a wideband pseudo random signal occupying the whole TF plane, while the FM in- terference only concentrates in a small portion, a new method is proposed based on adaptive short-time Fourier transform （STFT） and time-varying filtering for FM interference suppression. This method filters the received signal by using a binary mask to excise only the portion of the TF plane corrupted by the interference. Two types of interference, linear FM （LFM） and sinusoidal FM （SFM）, under different signal-to-jamming ratio （S JR） are studied. It is shown that the proposed method can effectively suppress the FM interference and improve the performance of target detection.

The Influence of Sound Awareness on the Level of Sound Generated during Nursing Activity in a Pseudo-Ward

Sound generated in a ward can be classified into 1) generated by medical staff, 2) generated by patients and their visitors, and 3) others, such as from in-hospital broadcasting microphones and nurse calls. Among these sounds, the incidence from medical staff, in particular, is reportedly high. The study objective is to investigate whether sound awareness is effective in regulating the sound environment even in a busy situation, such as in a real clinical setting, and to examine the extent to which sound awareness affects sound level. Nursing students were asked to perform a series of nursing activities in a pseudo-ward, and the changes in the sound level generated during the nursing activities with or without time and sound awareness were examined. Under varying experimental conditions, the sound and time levels associated with the nursing activities were measured in the following order: condition 1, without sound or time awareness;condition 2, with time awareness but without sound awareness;and condition 3, with both sound and time awareness. The time to perform nursing activities was longer with sound awareness. However, when aware of time only, the sound level from nursing activities rose by 2.3 dB, whereas when aware of both time and sound, the sound level dropped by 3.0 dB. With both time and sound awareness, there is a distinct drop in the sound level from nursing activities, such as wagon handling, handling of items (trays, bowls), working at the sink, and opening and closing the microwave oven door. These results suggest that even in a pseudo-clinical setting it is possible to regulate the environmental sound through the environmental sound awareness of the medical staff, resulting in a drop in the sound level generated while performing nursing activities.

Modeling and RTM for arbitrary-order pure acoustic wave equation in VTI media using normalized pseudo-analytical method

The conventional pseudo-acoustic wave equations（PWEs） in vertical transversely isotropic（VTI）media may generate SV-wave artifacts and propagation instabilities when anisotropy parameters cannot satisfy the pseudo-acoustic assumption. One solution to these issues is to use pure acoustic anisotropic wave equations, which can produce stable and pure P-wave responses without any SVwave pollutions. The commonly used pure acoustic wave equations（PAWEs） in VTI media are mainly derived from the decoupled P-SV dispersion relation based on first-order Taylor-series expansion（TE）, thus they will suffer from accuracy loss in strongly anisotropic media. In this paper, we adopt arbitrary-order TE to expand the square root term in Alkhalifah＇s accurate acoustic VTI dispersion relation and solve the corresponding PAWE using the normalized pseudoanalytical method（NPAM） based on optimized pseudodifferential operator. Our analysis of phase velocity errors indicates that the accuracy of our new expression is perfectly acceptable for majority anisotropy parameters. The effectiveness of our proposed scheme also can be demonstrated by several numerical examples and reverse-time migration（RTM） result.

Time-asynchrony identification between inertial sensors in SIMU

Traditional strapdown inertial navigation system （SINS） algorithm studies are based on ideal measurements from gy- ros and accelerometers, while in the actual strapdown inertial measurement unit （SIMU）, time-asynchrony between each iner- tial sensor is inevitable. Testing principles and methods for time- asynchrony parameter identification are studied. Under the single- axis swaying environment, the relationships between the SINS platform drift rate and the gyro time-asynchrony are derived using the SINS attitude error equation. It is found that the gyro time- asynchrony error can be considered as a kind of pseudo-coning motion error caused by data processing. After gyro testing and synchronization, the single-axis tumble test method is introduced for the testing of each accelerometer time-asynchrony with respect to the ideal gyro triad. Accelerometer time-asynchrony parame- ter identification models are established using SINS specific force equation. Finally, all of the relative time-asynchrony parameters between inertial sensors are well identified by using fiber optic gyro SIMU as experimental verification.