Peptide aptamer-mediated modulation of prion protein α-cleavage as treatment strategy for prion and other neurodegenerative diseases

Despite intensive research,most neurodegenerative diseases cannot be cured and for some of them no treatment is available to increase survival or quality of life.Among the latter are prion diseases,fatal and transmissible neurodegenerative diseases of humans and other animals.

PI and RST Control Design and Comparison for Matrix Converters Using Venturini Modulation Strategy

This paper presents a thorough design and comparative study of two popular control techniques, i.e., classical Proportional Integral (PI) and RST, for Matrix Converters (MCs) in terms of tracking the reference and robustness. The output signal of MCs is directly affected by unbalanced grid voltage. Some research works have attempted to overcome this problem with PI control. However, this technique is known to offer lower performance when it is used in complex and nonlinear systems. On the other hand, RST control offers better performance, even in case of highly nonlinear systems. Therefore, the RST can achieve better performance to overcome the limitation of PI control of nonlinear systems. In this paper, a RST control method is proposed as output current controller to improve the performance of the MC powered by unbalanced grid voltage. The overall operating principle, Venturini modulation strategy of MC, PI control and characteristics of RST are presented.

A Dual Arm Complementary Hybrid Modulation Strategy Combining NL-SPWM for MMC Applications

In the medium voltage direct current(MVDC)transmission system,a small number of MMC sub modules will reduce the power quality.In this paper,based on the research background of Photovoltaic Medium VoltageDirect Current(PV-MVDC)system,aHybrid Modulation Strategy based on theDecoupledDouble SynchronousReference Frame(DDSRF)control strategy is proposed.The dual armcomplementary hybrid modulation combining nearest-level-SPWM(NL-SPWM)can keep the number of SMs in the ON state constant.Then,the corresponding voltage sharing control algorithm of sub module(SM)is introduced.Through theoretical calculation,the modulation strategy can be found to stabilize the DC voltage and reduce the harmonic content.A32-level MMC systemhas been developed to verity that the proposed hybrid modulation strategy and its SM voltage sharing algorithm have the advantages of restraining circulating current and maintaining capacitor voltage balance.

Harnessing immunity:Immunomodulatory therapies in COVID-19

An overly exuberant immune response,characterized by a cytokine storm and uncontrolled inflammation,has been identified as a significant driver of severe coronavirus disease 2019(COVID-19)cases.Consequently,deciphering the intricacies of immune dysregulation in COVID-19 is imperative to identify specific targets for intervention and modulation.With these delicate dynamics in mind,immunomodulatory therapies have emerged as a promising avenue for miti-gating the challenges posed by COVID-19.Precision in manipulating immune pathways presents an opportunity to alter the host response,optimizing antiviral defenses while curbing deleterious inflammation.This review article compre-hensively analyzes immunomodulatory interventions in managing COVID-19.We explore diverse approaches to mitigating the hyperactive immune response and its impact,from corticosteroids and non-steroidal drugs to targeted biologics,including anti-viral drugs,cytokine inhibitors,JAK inhibitors,convalescent plasma,monoclonal antibodies(mAbs)to severe acute respiratory syndrome coronavirus 2,cell-based therapies(i.e.,CAR T,etc.).By summarizing the current evidence,we aim to provide a clear roadmap for clinicians and researchers navigating the complex landscape of immunomodulation in COVID-19 treatment.CS Glucocorticoids are among the most widely prescribed drugs with their immune-suppressive and anti-inflammatory effect[84].The current guidelines for the treatment of COVID-19 recommend against the use of dexamethasone or other systemic CS in non-hospitalized patients in the absence of another indication[70].The RECOVERY trial demonstrates the reduced 28-d mortality among hospitalized patients with COVID-19 using dexamethasone compared to the usual standard of care,along with other investigators,such as Ahmed and Hassan[85].The benefit of dexamethasone was seen only among participants receiving either oxygen alone or invasive mechanical ventilation at randomization but not among those receiving no respiratory support at enrollment[85].In a systematic review and meta-analysis,Albuquerque et al[86]showed that in comparison to tocilizumab,baricitinib,and sarilumab are associated with high probabilities of similar mortality reductions among hospitalized COVID-19 concurrently treated with CS.As a result of the absence of SARS-CoV-2-specific antiviral medications,the effectiveness of COVID-19 treatments is reduced.Several COVID-19 therapies are now under investigation.However,the majority of them lack specificity,efficacy,and safety[87].Immunotherapy is a ground-breaking medical treatment that manipulates the immune system to fight diseases.Translational research is rapidly progressing,recognized as a significant breakthrough in 2013[88].Among the immunotherapeutic options for treating COVID-19 are Immunoglobulin,CP,antibodies,mAbs(mAbs),NK cells,T cells,TLR,cytokine therapies and immune modulators.

Research on Phase-Shifted Full-Bridge Circuit Based on Frequency and Phase-Shift Synthesis Modulation Strategy

The full-bridge converters usually use transformer leakage inductance and parallel resonant capacitors to achieve smooth current commutation and soft switching functions,which can easily cause problems such as energy leakage and significant duty cycle loss.This paper designs a novel full-bridge zero-current(FB-ZCS)converter with series resonant capacitors and proposes a frequency and phase-shift synthesis modulation(FPSSM)control strategy based on this topology.Compared with the traditional parallel resonant capacitor circuit,the passive components used are significantly reduced,the structure is simple,and there is only a slight energy loss.By controlling the charging time of the capacitor,it can be achieved without additional switches or auxiliary circuits.The automatic control of capacitor energy based on input current addresses the low efficiency of the traditional control strategies.This paper introduces its principle in detail and verifies it through simulation.Finally,an experimental prototype was built further to demonstrate the feasibility of the theory through experiments.The module can be applied to a photovoltaic DC collection system using input parallel output series(IPOS)cascade to provide a new topology for large-scale,long-distance DC transmission.

Research on Modulation Strategies Based on Multilevel Inverter Universal Hybrid Topology

Based on multi-module-cascaded inverter topology, this study presented a universal multilevel inverter hybrid topology and unified the researches on multilevel inverter topology. According to the freedom of this universal topology, several new hybrid topologies were constructed. Also, based on conventional modulation strategies- multi-carrier SPWM (Sinusoidal Pulse Width Modulation), hybrid modulation strategies were introduced corresponding to hybrid topologies, and a multilevel SVPWM (Space Vector Pulse Width Modulation) technique based on phase-shifted theory was naturally produced. Simulation and experiment results prove that hybrid topologies and corresponding modulation strategies are valid, which lay a foundation for practical application of hybrid multilevel inverter topologies.

Design and modulation principles of molybdenum carbide-based materials for green hydrogen evolution

The green production of hydrogen from electrocatalytic water splitting is an important base and promising direction for the future of the large-scale application of hydrogen energy.The key of green hydrogen evolution depends on the development of low-cost and highly active electrocatalysts.Molybdenum carbides(MoxC),as a typical of earth-abundant transition-metal material,have accumulated great attention due to their low cost,earth abundance,electrical conductivity,similar d-band state to Pt,and regulated morphology/electronic structures.In this paper,recent researches focusing on MoxC for efficient HER in a wide pH range are summarized from respects of modulation of unique morphology,electronic structure,and electrode interface step by step.Briefly,modulation of morphology influence the apparent activity of catalyst,modulation of electronic structure of active sites by heteroatom doping and designing heterointerface boost intrinsic HER kinetics,and modulation of electrode interface via hybridization of MoxC structures with carbon materials can ensure the fast electron transfer and boost the activity.Besides the above methods discussed,perspective and challenges of designing MoxC as the substitute of Pt-based electrocatalyst for practical hydrogen generation in a wide pH range are pointed out.

Electrocatalytic oxygen evolution activities of metal chalcogenides and phosphides:Fundamentals,origins,and future strategies

The development of inexpensive and efficient electrocatalysts is key to commercializing energy-related electrocatalytic techniques such as water electrolyzers and metal-air batteries.In particular,novel oxygen evolution reaction(OER)pre-catalysts,such as transition metal chalcogenides(TMCs)and phosphides(TMPs),have evolved in recent years from traditional stable OER electrocatalysts,which show superior OER electrocatalytic performance compared with transition metal oxides(TMOs)or(oxy)hydroxides(TMOHs).In this feature article,we summarize recent advances in the development of TMCand TMP-based OER electrocatalysts,as well as approaches to improve the OER performance in terms of morphology,structure,composition,surface engineering,lattice-strained and in-situ transformation in the electrolysis process.In particular,the electrochemical stability of TMCs and TMPs in alkaline electrolytes and the evolution of morphology,structure and composition under OER conditions are discussed.In the last section,we discuss the challenges that need to be addressed in this specific area of research and the implications for further research.

Research on marketing module and competitive strategy of E-Business Based on the VIP Website

E-Business now is developing fast in China and the development of E-Business strategy is crucial as the right strategy can make the E-Business select the correct direction and get a better development. In this paper, combined with SWOT parameters module, we will make a thorough research on the strategies used by Vip.eom from different angles. After this research, we will have a good understanding of strategies used by VIP website and learn to make better decisions in the e-business world.

基于调频信号自适应分解的电池储能辅助二次调频控制策略

以清洁能源发电为代表的零碳机组大规模并入电网,其间歇性和不确定性带来的频率波动愈发凸显。针对电池储能辅助火电机组调频灵活性不足、荷电状态维持效果不理想的问题,提出一种基于调频信号自适应分解的储能辅助二次调频控制策略。首先,综合灵敏度、储能荷电状态、频率偏差状态3个因素,给出区域调节需求信号和区域控制误差信号的切换时机判据;计及火电机组爬坡率限制和储能荷电状态限制,提出自适应调频信号分解策略,构建回报增益与荷电状态之间的规律并将其作为调节参考值,利用频率偏差对参考值进行修正,最后通过状态一致性检测模块判断回报增益的输出,以实现2种调频资源的优势互补。通过单区域系统频率响应模型仿真,验证了本文策略的有效性。结果表明:本文策略能够提高系统的灵活性,使各调频资源形成互补关系。

基于新型VLMZVM的ANPC型三电平并网逆变器环流抑制方法

为解决广泛应用在大功率分布式发电系统中的多机有源中点钳位(ANPC)型三电平并网逆变器间的低频零序环流问题,提出一种基于虚拟大矢量的新型十三矢量调制(VLMZVM)策略。通过建立多机ANPC型三电平并网逆变器零序环流模型,分析零序环流产生机理和影响因素,通过检测零序环流状态,实时选择虚拟大矢量或实际大矢量合成方法来抑制零序环流,并提出区分奇偶扇区的矢量分配方法快速选择合成矢量。实验结果验证了新型VLMZVM策略能在电流突变、参数不一致、全功率因数范围都具有很好的环流抑制效果。

基于改进ResNet34网络的变电站设备巡检图像分类识别的方法

针对变电站设备巡检图像识别领域中存在的图像规模有限和识别准确率低等问题,提出了一种基于改进ResNet34网络的图像分类识别方法。采用Seam Carving算法对图像中的低能量区域进行压缩以保留关键特征;同时使用弹性变换、高斯噪声等6种图像增强技术来增强图像的多样性。将基础ResNet34网络与卷积注意力模块结合,增强模型对设备巡检图像关键特征的提取能力。使用在ImageNet数据集上的预训练模型作为迁移学习的特征提取器来解决样本数量不足的问题。在Adam优化器中引入余弦退火策略来动态调整学习率使改进的ResNet34网络更快收敛至最优解。试验结果表明所提方法比基础ResNet34网络的准确率提升了0.0733,损失率降低了0.2019,为变电站设备巡检图像识别领域提供了一种可靠的解决方案。

一种两倍升压五电平开关电容逆变器

开关电容型逆变器具有使用单直流电源输入、电容电压自均衡、输出谐波含量低以及高电压增益的优势。本文提出一种新型五电平逆变器拓扑,该拓扑由1个直流电源、2个浮动电容、1个电感以及4对互补开关管构成;采用多载波层叠调制策略实现开关电容与输入电源的分时串并联运行;实现了2倍电压增益、五电平输出以及电容电压自均衡;通过增加电感抑制了开关电容充电时存在的脉冲电流,降低了开关管的电流应力。此外,逆变电路中没有单独二极管器件,使得该电路具有能量双向流动的能力,扩展了电路的应用范围。本文详细分析了电路的构成及工作过程,仿真及实验结果验证了所提出的逆变器具有可行性。

飞轮储能辅助火电机组一次调频及其性能评价

为促进太阳能、风能等新能源消纳,进一步拓宽火电储能技术升级和灵活性改造渠道,助力双碳目标和新型电力系统建设,提出增设储能系统辅助火电机组调频以解决火电机组爬坡慢、机组振荡不稳定等问题。基于国内外研究现状,提出机组以及储能系统荷电状态出力控制策略模型,通过Matlab/Simulink搭建两区域电网进行模拟仿真。结果表明,在阶跃扰动下区域1机组耦合1 MW飞轮储能系统后,峰值降至1.93×10^(-3)pu,降低4×10^(-4) pu,占原频率波动率的9.39%,机组实际出力从2.45×10^(-2)pu降至1.61×10^(-2)pu,降低34%。结果表明,在外界相同扰动条件下,采用飞轮储能辅助火电机组调频可有效减小系统频率波动量,减少汽轮机输出功率波动,提升调频性能。

适用于中点箝位型三电平逆变器的多目标调制策略

为同时实现中点箝位型三电平逆变器的中点电压平衡和共模电压降低,分别分析了基于载波脉宽调制(CBPWM)和基于虚拟空间矢量脉宽调制(VSVPWM)的中点电压平衡和共模电压降低方法。基于CBPWM提出一种可以降低共模电压的载波脉宽调制(RCMV_CBPWM)策略,可将大多数工作区域的共模电压限制在直流侧电压的1/6以内。为了实现上述2个目标,同时不过分增加开关损耗,在RCMV_CBPWM基础上提出了一种多目标调制(MOPWM)策略,在全调制度和全负载功率因数范围内,共模电压可限制在直流侧电压的1/6以内并实现中点电压平衡,且其开关损耗低于VSVPWM。比较了MOPWM、RCMV_CBPWM和VSVPWM在中点电压控制、共模电压降低和开关损耗降低方面的性能。实验结果验证了MOPWM的可行性和优越性。

混合储能聚合商参与能量-调频市场控制策略

提出了一种混合储能聚合商(hybrid energy storage aggregator,HESA)参与能量-调频市场的控制策略。首先,对于独立系统运营商(ISO)发出的调频指令信号进行VMDWVD时频域分析,重构固有模态分量(IMF)生成高频信号与低频信号,分别作为HESA中功率型储能和能量型储能的输入信号。其次,构建了计及多市场价格不确定性的HESA投标与运行策略min-max-min模型,基于列和约束生成算法(C&CG)和强对偶理论对主子问题进行迭代交替求解。最后,基于实际PJM市场的价格、调频信号等数据进行了仿真,验证了HESA主体投标运营策略的有效性。

基于多节点策略的雷达智能干扰调制类型识别技术研究

采用认知雷达架构有助于实现雷达抗干扰技术的智能化程度提升。针对认知抗干扰技术领域中雷达对电磁干扰环境的感知问题,文中提出了一种基于深度学习的多节点干扰调制类型识别方法。该方法针对雷达信号处理的不同节点,如数字波束形成、自适应副瓣对消、脉冲压缩前后以及动目标检测之后,采用多个节点的时频平面和距离多普勒平面作为干扰信号的联合特征提取对象,建立了基于深度学习的多节点干扰识别策略模型,以提高多种干扰场景下的干扰识别正确率。为了提升干扰特征的提取能力和网络的训练效率,将用于干扰识别的深度学习算法在卷积神经网络的基础上引入了注意力机制和残差网络,建立了针对多节点策略下的干扰类型识别网络结构,实现了对多种不同干扰场景下的干扰类型识别。仿真结果表明:在单一干扰场景下,当干噪比为14 dB时,所提算法的干扰识别准确率可达92%;在多干扰场景下,所提算法在不同节点策略的加持下,识别准确率可达90%。

有源缓冲型逆变器功率解耦技术研究

为实现单级单相升压逆变并能有效抑制直流侧二次纹波电流,提出一种带有源缓冲的电流型逆变器电路拓扑,研究该逆变器的6种电路模态并提出其两模态调制策略和三模态调制策略,设计2种调制策略下的模型预测控制策略,提供主电路参数设计准则。从储能电感电流的最大脉动量与二次纹波含量两方面对2种调制策略进行对比分析,得出了三模态调制策略具有更好纹波抑制效果的结论。对2种调制策略下的逆变器进行仿真分析,仿真结果表明,三模态调制下电路的输出电压总谐波失真率、电感电流相对脉动量与二倍频含量均低于两模态调制下的数据。设计并搭建500VA 48VDC/220V50HzAC有源缓冲型单级单相升压逆变器实验装置,给出了三模态调制下基于模型预测控制的逆变器实验波形,进一步证实了所提研究方案在实现单级升压逆变的同时具有二次纹波抑制能力。

基于教师-学生模型的点云目标检测算法

针对现有点云目标检测算法对室外自动驾驶场景中遮挡物体检测精度低的问题,提出一种基于知识蒸馏和注意力增强的点云目标检测算法。以CIA-SSD模型为基础,设计了一种基于教师-学生模型的密集特征生成模块,提出基于交并比匹配策略的密集数据生成方法,将稀疏特征转换为密集特征。密集特征生成模块位于学生模型中,学生模型在教师模型生成的软目标监督训练下,推断出完整的密集目标特征,实现目标特征的补全;在教师模型中设计空间注意力和通道注意力机制,增强密集目标点云,提升特征图的质量。在KITTI数据集上的验证实验结果表明:与SE-SSD模型和CIA-SSD模型相比,本文提出的算法保持了单阶段目标检测速度的优势,同时明显提升了检测精度。

一种低输入电流总谐波畸变率的三相Buck整流器不对称调制策略

传统空间矢量脉宽调制(SVPWM)三相Buck整流器没有考虑直流链电流纹波对输入电流的影响,且在扇区切换点处输入电流存在严重畸变,导致输入电流总谐波畸变率(THD)升高。该文分析直流链电流纹波对三相Buck整流器输入电流的影响,分析输入电流扇区切换点畸变产生的原因,提出一种新型不对称SVPWM策略,显著降低了三相Buck整流器的输入电流THD。最后,通过仿真和1 kW的实验样机验证了理论分析的正确性以及所提调制策略的有效性。