基于STL-MIC-LSTM方法的最大电力负荷预测方法研究

随着经济社会的快速发展,对电网调度的安全稳定提出了更高的要求,准确的电网负荷预测将发挥更加重要的作用。文章运用STL方法提取气象负荷,利用MIC选取适当的气象因子,建立了基于LSTM网络和多气象因子特征、按季节分类的最大电力负荷预测模型并进行检验。利用模型预测了2023/2024年冬季银川市最大电力负荷,结果表明:STL方法能够有效地提取不同周期下的气象负荷;MIC可以较好地体现气象因子与气象负荷的非线性关系;在时间序列预测方面,LSTM网络能够较为准确地预测银川市日最大电力负荷;银川市2023/2024年冬季最大电力负荷为3161 MW,平均最大电力负荷较2022/2023年冬季偏高6%。

基于MIC特征提取与BO-CatBoost的航空发动机RUL预测

针对航空发动机传感器监测的退化参数提取困难,易受噪声干扰及发动机剩余使用寿命预测精度不足等问题,利用最大信息系数、贝叶斯优化算法和类别特征梯度提升算法,提出了一种新的发动机剩余使用寿命预测模型。首先,为有效解决特征提取不足的问题,对采集的传感器历史监测特征进行最大信息系数相关性计算,提取出对发动机寿命运行周期影响较大的关键退化特征。其次,为解决剩余使用寿命预测中的梯度偏差及预测偏移问题,使用基于贝叶斯优化的类别特征梯度提升方法对航空发动机进行剩余使用寿命预测。最后,在美国航空航天局提供的商用模块化航空推进系统仿真数据集上进行实验,结果表明所提预测方法的性能较好,验证了该方法的有效性。

弓形虫MIC1蛋白在杆状病毒系统中的表达及活性分析

为构建可溶性表达弓形虫MIC1蛋白质的重组杆状病毒株并分析重组蛋白质的活性,通过PCR扩增弓形虫mic1基因的编码序列并连接到pFastBac 1质粒中,将重组的转移质粒转化DH10Bac感受态细胞,通过蓝白斑筛选获得重组杆粒,转染Sf9细胞后连续培养3代获得重组杆状病毒株。结果显示,Sf9细胞在感染后的第3天出现典型的细胞病变;间接免疫荧光和Western blot试验结果表明MIC1重组蛋白质在感染的Sf9细胞中成功可溶性表达;纯化的MIC1重组蛋白质不仅具有结合唾液酸乳糖的能力,同时能够刺激Balb/c小鼠产生较高水平的特异性抗体(>1∶25600)。以上结果表明,通过杆状病毒表达系统可获得具有生物学活性的弓形虫MIC1重组蛋白质。

金属诱导晶化(MIC)模式非晶晶化的原位透射电子显微学研究

非晶晶化作为一种制备晶体材料的有效方法已得到广泛应用,近年来,采用金属诱导晶化(metal induced crystallization,MIC)法显著降低材料的晶化温度引起了研究者们的兴趣。为探究MIC模式下温度对金属催化剂扩散行为及晶化过程中材料结构变化的本征影响,本研究以金属Pt诱导非晶硅晶化为例,采用透射电镜结合原位热学研究方法,在原子尺度上直接观察MIC模式下非晶硅的晶化过程。结果显示在550℃下Pt/Si界面处产生了硅化物Pt_(2)Si等化合物,使得材料界面处出现明显的结构变化。而当温度升高至650℃时,Pt会以颗粒移动的形式发生扩散,且扩散过程中会发生明显的几何结构变化。Pt与非晶硅不同的扩散速度会导致界面处出现柯肯达尔孔洞而阻碍界面处两种材料的进一步扩散。当温度升高至700℃时,非晶硅发生晶化,且在此过程中Pt对非晶硅的晶化起了促进作用。

弓形虫MIC1、MIC6和ROP18混合蛋白对小鼠的免疫保护作用

为评估弓形虫微线体蛋白MIC1、MIC6和棒状体蛋白ROP18组成的重组疫苗对BALB/c小鼠的免疫保护作用,我们将重组表达的MIC1、MIC6和ROP18三种蛋白进行不同的组合,并联合弗氏佐剂通过皮下注射的方式免疫小鼠。用ELISA技术检测免疫后小鼠血清特异性抗体,以及免疫蛋白刺激后脾细胞培养上清中各细胞因子的水平,通过脾淋巴细胞增殖实验检测脾淋巴细胞增殖情况。最后一次免疫后,用弓形虫WH3强毒株攻击,观察并记录小鼠的存活情况。结果表明,与对照PBS组相比,蛋白免疫组产生高滴度的IgG和IgG亚型(IgG1和IgG2a)抗体,滴度可高达1∶128000。细胞因子IL-4、IL-10和IFN-γ表达水平不同程度地升高,并且重组蛋白能够诱导淋巴细胞特异性增殖。免疫组小鼠的生存时间较对照组有所延长,其中MIC6-ROP18组延长时间最长(P<0.01)。MIC1、MIC6和ROP18组成的重组疫苗能诱导小鼠产生较强的体液免疫和细胞免疫应答,其中MIC6-ROP18蛋白组合的免疫保护效果更为明显,但仍需进一步改进。本研究为弓形虫疫苗的研发提供了思路。

抑制Mic60在小鼠卵母细胞体外成熟过程中引起线粒体功能障碍和整合应激反应

本实验旨在探究Mic60在小鼠卵母细胞体外成熟中的作用。选取4~6周龄的雌性C57BL/6J小鼠,注射孕马血清促性腺激素(PMSG)48 h后采集卵母细胞并随机分为对照组和Mic60抑制组(包括50、100、130、150μmol/L组,Miclxin组为130μmol/L)。卵母细胞体外培养16 h后,通过免疫荧光染色检测纺锤体形态、ROS水平、线粒体分布和质量,利用qPCR检测抗氧化基因表达、线粒体呼吸链亚基的表达、整合应激反应相关基因的表达。结果表明:与对照组相比,130μmol/L Mic60抑制剂会降低卵母细胞体外成熟率(78.29%vs.21.08%,P<0.01),并显著阻碍纺锤体的组装;与对照组相比,Miclxin组卵母细胞中的ROS水平升高(P<0.05),且Sod1(0.83 vs. 0.22)和Sod2(0.84 vs. 0.27)基因表达降低(P<0.05),线粒体分布异常比例升高(0.16 vs. 0.57,P<0.05),线粒体膜电位水平降低(1.61 vs. 1.05,P<0.05),ATP产生降低(1.16 vs. 0.79,P<0.05);Miclxin组卵母细胞线粒体呼吸链复合体亚基Ndufv2和Sdha表达降低(P<0.05),Cyc1表达升高(P<0.05),卵母细胞mtDNA拷贝数降低(19 324 vs. 9 066,P<0.05);与对照组相比,Miclxin组卵母细胞Oma1、Dele1、Eif2ak1、eIF2α基因表达上调(P<0.05),触发了整合应激反应(Integrated Stress Response,ISR)并上调了ISR主要效应因子Atf4、Atf5和Chop的表达(P<0.05)。可见,抑制Mic60会通过损害线粒体功能并触发ISR影响卵母细胞体外成熟效果。

模块化建筑(MiC)技术的研究综述与进展

装配式建筑作为重要抓手,推动着建筑工业化和行业转型升级的持续深化。高度符合“标准化设计、工厂化生产、低碳绿色建造、集成化装修”理念与特点的模块化建筑(MiC),正成为当下国内发展装配式建筑的又一重要方向,现已逐步在实际工程中推广应用。本文对模块化建筑的研究历程与进展进行梳理和总结,包括模块间连接安装技术,混凝土MiC物流运输、吊重设备布置规划及智能建造等施工技术方面的研究进展。最后,搜集了相关混凝土MiC项目发展历程与应用案例,总结模块化建筑现有研究的不足和发展趋势。

面向脉冲调制器的S波段高效线性MMIC功率放大器

针对脉冲调制全数字发射机中高速数字信号难以高效驱动射频功率放大器的问题,提出了一种高效线性MMIC功率放大器设计方法。采用连续F类功率放大器提高数字发射机系统的效率,采用三阶互调抵消改善临近饱和线性度。基于南京电子器件研究所GaAs pHEMT工艺,研制了一款S波段高效率线性功率放大器进行验证。测试结果表明,在3.4~4.0 GHz频段内,当输入功率为-10 dBm时,输出功率为26.2~26.7 dBm,功率附加效率为53.3%~60.7%,功率增益为36.2~36.7 dB。在3.7 GHz频点,输出功率为24.5 dBm,三阶互调失真小于-30 dBc;9 dB峰均比、40 MHz正交频分多路复用的64-QAM调制信号激励下,平均输出功率及对应的功率附加效率分别为20.5 dBm和28%,实现了-30 dBc的邻道功率比及5.5%的误差向量幅度。

Correction of microwave pulse reflection by digital filters in superconducting quantum circuits

Reducing the control error is vital for high-fidelity digital and analog quantum operations.In superconducting circuits,one disagreeable error arises from the reflection of microwave signals due to impedance mismatch in the control chain.Here,we demonstrate a reflection cancelation method when considering that there are two reflection nodes on the control line.We propose to generate the pre-distortion pulse by passing the envelopes of the microwave signal through digital filters,which enables real-time reflection correction when integrated into the field-programmable gate array(FPGA).We achieve a reduction of single-qubit gate infidelity from 0.67%to 0.11%after eliminating microwave reflection.Real-time correction of microwave reflection paves the way for precise control and manipulation of the qubit state and would ultimately enhance the performance of algorithms and simulations executed on quantum processors.

Digital cancellation of multi-band passive inter-modulation based on Wiener-Hammerstein model

Utilizing multi-band and multi-carrier techniques enhances throughput and capacity in Long-Term Evolution(LTE)-Advanced and 5G New Radio(NR)mobile networks.However,these techniques introduce Passive Inter-Modulation(PIM)interference in Frequency-Division Duplexing(FDD)systems.In this paper,a novel multi-band Wiener-Hammerstein model is presented to digitally reconstruct PIM interference signals,thereby achieving effective PIM Cancellation(PIMC)in multi-band scenarios.In the model,transmitted signals are independently processed to simulate Inter-Modulation Distortions(IMDs)and Cross-Modulation Distortions(CMDs).Furthermore,the Finite Impulse Response(FIR)filter,basis function generation,and B-spline function are applied for precise PIM product estimation and generation in multi-band scenarios.Simulations involving 4 carrier components from diverse NR frequency bands at varying transmitting powers validate the feasibility of the model for multi-band PIMC,achieving up to 19 dB in PIMC performance.Compared to other models,this approach offers superior PIMC performance,exceeding them by more than 5 dB in high transmitting power scenarios.Additionally,its lower sampling rate requirement reduces the hardware complexity associated with implementing multi-band PIMC.

Reasons for Elective Surgery Cancellations in a Senegalese Pediatric Surgery Department

Introduction: Cancellation of elective surgery is common in developing countries. This decision is difficult to make as it generates economic and organizational consequences for the healthcare facility and an additional source of stress for patients and their caregivers. This study aimed to analyze the various aspects of this medical problem. Patients and Methods: We conducted a prospective and descriptive study over six months (from January 1st, 2017, to June 30th, 2017) at the pediatric surgery department of Aristide Le Dantec University Teaching Hospital in Senegal. Results: Ninety-one cases were collected. The cancellation rate was 20.8%. Infants were affected in 36.3% of cases. Among anesthesiologists, 83.5% were residents, and 16.5% were specialists. Cancellation in nephroblastoma children with an indication for extended nephrectomy represented 15.4% of cases. Concerning reasons for cancellation, comorbidities, dominated by respiratory infections, accounted for 28.5% of cases, patient absences for 24.2%, and issues related to the anesthesiologist for 17.6%. Cancellations were avoidable in 33% of cases. Patients were responsible for cancellation in 37.4% of cases, the healthcare system in 33%, and medical reasons in 29.7%. Conclusion: Our findings suggest that one-third of cancellations could have been avoided with improvements in the healthcare system. Actions should be taken to reduce the cancellation rate in our context.

A new adaptive co-site broadband interference cancellation method with auxiliary channel

With the boom of the communication systems on some independent platforms(such as satellites,space stations,airplanes,and vessels),co-site interference is becoming prominent.The adaptive interference cancellation method has been adopted to solve the co-site interference problem.But the broadband interference cancellation performance of traditional Adaptive Co-site Interference Cancellation System(ACICS)with large delay mismatching and antenna sway is relatively poor.This study put forward an Adaptive Co-site Broadband Interference Cancellation System With Two Auxiliary Channels(ACBICS-2A).The system model was established,and the steady state weights and Interference Cancellation Ratio(ICR)were deduced by solving a time-varying differential equation.The relationship of ICR,system gain,modulation factor,interference signal bandwidth and delay mismatching degree was acquired through an in-depth analysis.Compared with traditional adaptive interference cancellation system,the proposed ACBICS-2A can improve broadband interference cancellation ability remarkably with large delay mismatching and antenna sway for the effect of auxiliary channel.The maximum improved ICR is more than 25 dB.Finally,the theoretical and simulation results were verified by experiments.

一种MICS频段小型化可植入天线的设计

提出了一款MICS频段的新型柔性植入天线。天线的介质板材料为柔性聚酰亚胺,辐射部分为回形金属带线,接地面为具有圆弧拐角的矩形,天线采用共面波导馈电,整体尺寸为12×7×0.24 mm^(3)。同时,本文还分析了绝缘材料、人体器官组织、天线植入深度、介质板厚度、辐射单元线长及线宽等因素对天线性能的影响。最后测得天线带宽为270~420 MHz,能够覆盖MICS频段,可应用于小型植入式医疗设备。

Multitap RF Canceller with Single LMS Loop for Adaptive Co-Site Broadband Interference Cancellation

With the development of wireless communication technology,an urgent problem to be solved is co-site broadband interference on independent communication platforms such as satellites,space stations,aircrafts and ships.Also,the problem of strong selfinterference rejection should be solved in the co-time co-frequency full duplex mode which realizes spectrum multiplication in 5G communication technology.In the research of such interference rejection,interference cancellation technology has been applied.In order to reject multipath interference,multitap double LMS(Least Mean Square)loop interference cancellation system is often used for cancelling RF(Radio Frequency)domain interference cancelling.However,more taps will lead to a more complex structure of the cancellation system.A novel tap single LMS loop adaptive interference cancellation system was proposed to improve the system compactness and reduce the cost.In addition,a mathematical model was built for the proposed cancellation system,the correlation function of CP2FSK(Continuous Phase Binary Frequency Shift Keying)signal was derived,and the quantitative relationship was established between the correlation function and the interference signal bandwidth and tap delay differential.The steadystate weights and the expression of the average interference cancellation ratio(ICR)were deduced in the scenes of LOS(Line of Sight)interference with antenna swaying on an independent communication platform and indoor multipath interference.The quantitative relationship was deeply analyzed between the interference cancellation performance and the parameters such as antenna swing,LMS loop gain,and interference signal bandwidth,which was verified by simulation experiment.And the performance of the proposed interference cancellation system was compared with that of the traditional double LMS loop cancellation system.The results showed that the compact single LMS loop cancellation system can achieve an average interference rejection capability comparable to the double LMS loop cancellation system.

Off-Grid Compressed Channel Estimation with Parallel Interference Cancellation for Millimeter Wave Massive MIMO

Millimeter wave(mmWave)massive multiple-input multiple-output(MIMO)plays an important role in the fifth-generation(5G)mobile communications and beyond wireless communication systems owing to its potential of high capacity.However,channel estimation has become very challenging due to the use of massive MIMO antenna array.Fortunately,the mmWave channel has strong sparsity in the spatial angle domain,and the compressed sensing technology can be used to convert the original channel matrix into the sparse matrix of discrete angle grid.Thus the high-dimensional channel matrix estimation is transformed into a sparse recovery problem with greatly reduced computational complexity.However,the path angle in the actual scene appears randomly and is unlikely to be completely located on the quantization angle grid,thus leading to the problem of power leakage.Moreover,multiple paths with the random distribution of angles will bring about serious interpath interference and further deteriorate the performance of channel estimation.To address these off-grid issues,we propose a parallel interference cancellation assisted multi-grid matching pursuit(PIC-MGMP)algorithm in this paper.The proposed algorithm consists of three stages,including coarse estimation,refined estimation,and inter-path cyclic iterative inter-ference cancellation.More specifically,the angular resolution can be improved by locally refining the grid to reduce power leakage,while the inter-path interference is eliminated by parallel interference cancellation(PIC),and the two together improve the estimation accuracy.Simulation results show that compared with the traditional orthogonal matching pursuit(OMP)algorithm,the normalized mean square error(NMSE)of the proposed algorithm decreases by over 14dB in the case of 2 paths.

Iterative Signal Detection Based Soft Interference Cancellation for Satellite-Terrestrial Downlink NOMA Systems

To improve the bit error rate(BER)performance of multi-user signal detection in satelliteterrestrial downlink non-orthogonal multiple access(NOMA)systems,an iterative signal detection algorithm based on soft interference cancellation with optimal power allocation is proposed.Given that power allocation has a significant impact on BER performance,the optimal power allocation is obtained by minimizing the average BER of NOMA users.According to the allocated powers,successive interference cancellation(SIC)between NOMA users is performed in descending power order.For each user,an iterative soft interference cancellation is performed,and soft symbol probabilities are calculated for soft decision.To improve detection accuracy and without increasing the complexity,the aforementioned algorithm is optimized by adding minimum mean square error(MMSE)signal estimation before detection,and in each iteration soft symbol probabilities are utilized for soft-decision of the current user and also for the update of soft interference of the previous user.Simulation results illustrate that the optimized algorithm i.e.MMSE-IDBSIC significantly outperforms joint multi-user detection and SIC detection by 7.57dB and 8.03dB in terms of BER performance.

A deep multimodal fusion and multitasking trajectory prediction model for typhoon trajectory prediction to reduce flight scheduling cancellation

Natural events have had a significant impact on overall flight activity,and the aviation industry plays a vital role in helping society cope with the impact of these events.As one of the most impactful weather typhoon seasons appears and continues,airlines operating in threatened areas and passengers having travel plans during this time period will pay close attention to the development of tropical storms.This paper proposes a deep multimodal fusion and multitasking trajectory prediction model that can improve the reliability of typhoon trajectory prediction and reduce the quantity of flight scheduling cancellation.The deep multimodal fusion module is formed by deep fusion of the feature output by multiple submodal fusion modules,and the multitask generation module uses longitude and latitude as two related tasks for simultaneous prediction.With more dependable data accuracy,problems can be analysed rapidly and more efficiently,enabling better decision-making with a proactive versus reactive posture.When multiple modalities coexist,features can be extracted from them simultaneously to supplement each other’s information.An actual case study,the typhoon Lichma that swept China in 2019,has demonstrated that the algorithm can effectively reduce the number of unnecessary flight cancellations compared to existing flight scheduling and assist the new generation of flight scheduling systems under extreme weather.

Turbo Message Passing Based Burst Interference Cancellation for Data Detection in Massive MIMO-OFDM Systems

This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) systems. In particular, burst interference may occur only on data symbols but not on pilot symbols, which means that interference information cannot be premeasured. To cancel the burst interference, we first revisit the uplink multi-user system and develop a matrixform system model, where the covariance pattern and the low-rank property of the interference matrix is discussed. Then, we propose a turbo message passing based burst interference cancellation(TMP-BIC) algorithm to solve the data detection problem, where the constellation information of target data is fully exploited to refine its estimate. Furthermore, in the TMP-BIC algorithm, we design one module to cope with the interference matrix by exploiting its lowrank property. Numerical results demonstrate that the proposed algorithm can effectively mitigate the adverse effects of burst interference and approach the interference-free bound.

On Normalized Least Mean Square Based Interference Cancellation Algorithm for Integrated Sensing and Communication Systems

Integrated sensing and communication(ISAC)technology is a promising candidate for next-generation communication systems.However,severe co-site interference in existing ISAC systems limits the communication and sensing performance,posing significant challenges for ISAC interference management.In this work,we propose a novel interference management scheme based on the normalized least mean square(NLMS)algorithm,which mitigates the impact of co-site interference by reconstructing the interference from the local transmitter and canceling it from the received signal.Simulation results demonstrate that,compared to typical adaptive interference management schemes based on recursive least square(RLS)and stochastic gradient descent(SGD)algorithms,the proposed NLMS algorithm effectively cancels co-site interference and achieves a good balance between computational complexity and convergence performance.

The Effects of Infrastructure Projects on House Prices and Rents:Evidence from the HS2 Extension Cancellation in the UK

This paper uses the HS2 extension cancellation in November 2021 as a quasi-experiment to study its impact on house prices and rents in Leeds.Using a DiD approach on repeat sales and monthly rents,I compare property values near the HS2 station and proposed construction site before and after the announcement.Results show a 3.6%decrease in house prices and a 3.9%decline in rents near the station,while properties near the construction site experienced a 2.4%increase in prices and a 2.1%rise in rents.This is the first paper to analyse the HS2 cancellation effect using panel data methods.