基于S变换双阈值法的汽车零部件载荷谱加速编辑

针对S变换编辑法加速编辑效果不佳的问题,提出了一种基于S变换双阈值编辑方法。该方法先对载荷谱进行S变换以获取最大幅值谱,在以双阈值识别并保留的幅值谱片段为依据保留对应的载荷谱片段后,再将其拼接成加速后的载荷谱,最后对比分析S变换双阈值编辑法与S变换编辑法编辑的加速谱的统计参数、功率谱密度、穿级计数和疲劳仿真结果。研究结果表明,S变换双阈值编辑法可明显压缩原始载荷时间,且其压缩效率高于S变换编辑法,转向节的疲劳损伤和寿命分析误差更小,适用于汽车零部件载荷谱加速编辑研究。

基于B/S和SOA架构的LIMS系统设计与研究

为提升水质检测业务的专业化、智能化、系统化、自动化水平,针对新发展阶段下水利高质量发展对水质信息管理的需求,研究并开发基于B/S系统架构和SOA设计架构的新型综合性水质信息管理系统(LIMS),运用仪器谱图识别及数据提取、PHP与MySQL融合、仪器谱图与原始记录自动关联等技术,在一定程度上提高水质数据的电子化无纸化获取、处理、传输及应用等方面的管理水平,实现水质检测业务流程与资源的动态关联和闭环追溯,提升水质监测评价工作的管理效率和质量管理能力。基于B/S和SOA架构的LIMS在前沿高新技术中的应用研究,为水质检测和管理的各项活动提供智能、高效的数据支持平台,也为水利行业信息系统管理建设及水域功能监测监管提供技术支撑。

2024年1月23日乌什M_(S)7.1地震序列频谱偏移特征分析

采用P波初动方法计算了乌什M_(S)7.1地震序列中M_(S)≥4.0地震的震源机制解,震源机制解在时间上存在前期一致性较好,后期一致性紊乱的特点。空间上,乌什县内震源机制解类型多为逆冲型,阿合奇县内震源机制解类型多为走滑型。利用新疆地震台网数字波形资料和快速傅里叶变换方法,计算乌什M_(S)7.1地震序列中M_(S)≥5.0地震序列的频率谱,计算结果显示,乌什县内发生的5级余震前期有频谱偏移特征,最后一个5级地震频带变宽,频谱偏移特征消失;阿合奇县内发生的5级余震均出现了频谱偏移特征。

2022年四川泸定 M_(s)6.8地震强震动特性研究

北京时间2022年9月5日12时52分,四川省甘孜州泸定县发生M_(s)6.8级地震。国家强震动台网获得了133组三分量加速度记录,在对记录进行初步筛选和滤波后,研究了PGA和PGV衰减关系、竖向地震动特点、地震动速度脉冲,对比分析了反应谱和设计谱,着重对石棉挖角台站附近震害与地震动的相关性进行了分析,结论如下:1)三种台站强震动记录的PGA和PGV拟合曲线都比较相近,PGA、PGV拟合曲线与霍俊荣的预测模型较为接近;2)竖向地震动偏大,约38.2%的强震动记录V/H大于2/3,可能是屋顶塌落、柱子扭转和天花板坠落等震害现象出现的主要原因;3)识别出具有速度脉冲特性的记录11条,该类记录对长周期结构影响较大;4)所选记录反应谱大多超过了罕遇地震设计谱水平段,具有速度脉冲特性的051SMW台站周围房屋破坏较严重,人员伤亡较重。

ASD与非ASD语言发育迟缓儿童的语言行为能力差异分析

目的通过比较孤独症谱系障碍(autism spectrum disorder,ASD)与非ASD语言发育迟缓儿童的各项语言行为能力,分析两者的特征差异。方法回顾收集2020年1月至2022年12月就诊的确诊为ASD(98例)和非ASD(122例)语言发育迟缓儿童的年龄、性别、ABC量表和S-S量表得分资料,对两组儿童的结果先进行单因素分析,对单因素分析有统计学差异的项目进行多因素二元logistic回归分析。结果经单因素分析,两组儿童年龄无统计学差异,其他项目包括性别,S-S交流态度能力、S-S操作性课题能力、S-S语言理解能力、S-S语言表达能力和ABC总分均有统计学差异(均P<0.05)。采用输入法把两组有差异的性别、S-S交流态度能力、S-S操作性课题能力、S-S语言理解能力、S-S语言表达能力和ABC总分共6个项目进行多因素二元logistic回归分析,结果表明S-S交流态度能力和ABC总分两个项目是区分两组儿童的独立影响因素(均P<0.05),S-S交流态度不良和ABC总分高均是危险因素。结论S-S交流态度能力和ABC总分是区分ASD和非ASD语言发育迟缓儿童的独立影响因素,临床上对于S-S交流态度不良及ABC总分高的语言发育迟缓儿童要高度警惕是否ASD儿童。

基于DWDM的超100 Gbit/s混合组网分析

【目的】近年来,数据通信量呈爆炸性增长,为了应对高速、高容量数据传输及网络应用场景多样化的需求,超100 Gbit/s密集波分复用(DWDM)混合组网作为一种高效的解决方案逐渐受到关注。文章通过对超100 Gbit/s DWDM混合组网的需求、关键技术及实际案例进行分析,为构建高容量、高效率的通信网络提供了技术支持和指导。【方法】文章首先阐述了网络发展在容量扩展和支持复杂网络设计方面的需求,其次重点介绍了超100 Gbit/s混合组网的关键技术,包括星座图整形、频谱整形和灵活栅格技术等。其中,为支撑混合组网的业务速率设计,提供了一种用于级联掺铒光纤放大器(EDFA)通信系统的光信噪比(OSNR)计算方法,仅利用信道配置信息、发端信号光功率、EDFA的增益及噪声等相关参数,即可计算出整个链路中各个波长的输出OSNR。最后,结合海外某网络案例,根据实际链路OSNR评估情况,合理进行混合速率网络设计,论证了超100 Gbit/s DWDM混合组网在实际工程中的应用效果。【结果】通过应用超100 Gbit/s DWDM混合组网,根据OSNR评估情况灵活配置传输速率和传输带宽,实现了200、600和800 Gbit/s混合速率网络部署,既满足了核心站点的大容量需求,也兼顾了边缘站点的长途大跨度需求,并在3年期间实现了网络的平滑升级和扩容。【结论】实践证明,超100 Gbit/s DWDM组网能够有效提升网络容量、灵活性及频谱资源利用率,同时也为网络的持续演进提供了空间,是推进大容量光传输网络发展的重要手段。

基于Bouc-Wen模型的非线性实时混合模拟稳定性分析

实时混合模拟(real-time hybrid simulation,RTHS)中不可避免的作动器响应延迟会影响试验系统稳定性。为研究同时含非线性构件和作动器时滞的复杂试验系统稳定性,文章采用分段线性方法将非线性模型近似简化为多个线性状态的叠加,基于T-S模糊模型理论建立试验系统运动方程,通过Lyapunov稳定理论分析其近似稳定性,获得线性矩阵不等式(linear matrix inequality,LMI)形式的稳定性判据。数值分析和试验结果验证在外荷载输入下,简化模型高度近似于原模型,表明该近似方法具有良好的计算精度。对于具有刚度软化特性的Bouc-Wen模型,最大刚度决定试验系统稳定性。当试验系统时滞小于临界时滞,处于渐近稳定状态时,结构的动力响应逐步收敛;而当试验系统时滞大于临界时滞处于失稳状态时,系统仍能通过材料屈服耗能保持能量平衡。而在线性系统中,能量则不断积累,导致试验系统响应无限增加,是线性与非线性试验系统的最大差异。

6-巯基-5-三唑并[4,3-b]-s-四嗪(MTT)的密度泛函理论研究

采用密度泛函理论(Density functional theory,DFT),在B3LYP/6-31g(d)(C,H,N,S),Ag原子采用LanL2d赝势基组水平上对甲醛(HCHO)与4-氨基-5肼基-3-巯基-1,2,4-三唑(4-amino-5-hydrazino-3-mercapto-1,2,4-triazole,AHMT)衍生化反应生的成产物6-巯基-5-三唑并[4,3-b]-s-四嗪(6-mercapto-5-triazolo[4,3-b]-s-tetrazine,MTT)及其银配合物进行结构优化,优化结果表明MTT的结构是一个近平面结构.通过对频率计算,获得MTT分子及其银配合物的拉曼光谱,对400-1800 cm^(-1)波段内的拉曼光谱特征峰进行了指认.同时讨论了MTT分子的表面静电势,分析可能发生化学反应的位点.并采用含时密度泛函理论(Time Dependent density functional theory,TDDFT)对MTT分子与Ag3配合物的激发态进行了计算分析,并使用电荷转移光谱对Ag配合物与MTT之间电荷转移关系进行了研究.该研究对MTT分子的光谱测定和电子性质提供了理论基础.

基于S变换时频谱和KHA-CNN的换流变故障声纹识别

为准确进行换流变压器故障诊断,保证直流输电可靠性,提出一种基于S变换时频谱和KHA-CNN模式的换流变故障声纹识别方法。利用自适应补充集合经验模态分解算法(complete ensemble empirical mode decomposition with adaptive noise,CEEMDAN),实现换流变本体声纹信号与噪声的分离;通过S变换得到时频谱图,实现声纹信号的特征提取;通过磷虾群优化算法(krill herd algorithm,KHA)对卷积神经网络进行超参数寻优,将S时频谱图作为特征输入到KHA-CNN,实现故障诊断。研究结果表明:该方法对于换流变故障具有很好的识别效果,能为换流变故障诊断提供有效参考。

From Phenotypes to Molecules: Revolutionizing Gut Microbiota Identification Methods

The gut microbiota is a complex ecosystem composed of many bacteria and their metabolites.It plays an irreplaceable role in human digestion,nutrient absorption,energy supply,fat metabolism,immune regulation,and many other aspects.Exploring the structure and function of the gut microbiota,as well as their key genes and metabolites,will enable the early diagnosis and auxiliary diagnosis of diseases,new treatment methods,better effects of drug treatments,and better guidance in the use of antibiotics.The identification of gut microbiota plays an important role in clinical diagnosis and treatment,as well as in drug research and development.Therefore,it is necessary to conduct a comprehensive review of this rapidly evolving topic.Traditional identification methods cannot comprehensively capture the diversity of gut microbiota.Currently,with the rapid development of molecular biology,the classification and identification methods for gut microbiota have evolved from the initial phenotypic and chemical identification to identification at the molecular level.This review integrates the main methods of gut microbiota identification and evaluates their application.We pay special attention to the research progress on molecular biological methods and focus on the application of high-throughput sequencing technology in the identification of gut microbiota.This revolutionary method for intestinal flora identification heralds a new chapter in our understanding of the microbial world.

Glyphosate Exposure Associated with Human Neurodegenerative Disorders: A Scoping Review

Chemically engineered agricultural products such as pesticides, insecticides, and herbicides, although used considerably for both industrialized and personal agricultural use, have recently been associated with a number of serious human health disorders. This rapid literature review aims to accumulate and analyze research from the last ten years, focusing specifically on the effects of exposure to glyphosate-based herbicide products such as Roundup as associated with the formation of various neurological disorders. Specifically, this review focuses on laboratory research using animal models or human cell cultures as well as human population-based epidemiological studies. It associates exposure to glyphosate or glyphosate-based products with the formation or exacerbation of neurological disorders such as Parkinson’s disease, Alzheimer’s disease, seizures, and autism spectrum disorder. In addition, it examines the correlation between the gut-brain axis, exposure to glyphosate, and neurodegeneration.

Probability-consistent spectrum and code spectrum

In the seismic safety evaluation (SSE) for key projects, the probability-consistent spectrum (PCS), usually obtained from probabilistic seismic hazard analysis (PSHA), is not consistent with the design response spectrum given by Code for Seismic Design of Buildings (GB50011-2001). Sometimes, there may be a remarkable difference be-tween them. If the PCS is lower than the corresponding code design response spectrum (CDS), the seismic fortifi-cation criterion for the key projects would be lower than that for the general industry and civil buildings. In the paper, the relation between PCS and CDS is discussed by using the ideal simple potential seismic source. The re-sults show that in the most areas influenced mainly by the potential sources of the epicentral earthquakes and the regional earthquakes, PCS is generally lower than CDS in the long periods. We point out that the long-period re-sponse spectra of the code should be further studied and combined with the probability method of seismic zoning as much as possible. Because of the uncertainties in SSE, it should be prudent to use the long-period response spectra given by SSE for key projects when they are lower than CDS.

2022年四川泸定M_(S)6.8地震强震动记录特征

对地震监测台网获取的2022年四川泸定M_(S)6.8地震的1799组强震动记录进行处理后计算地震动参数,利用克里金插值方法得到峰值加速度PGA、峰值速度PGV和加速度反应谱的空间分布图。结果表明:基准站、基本站和一般站记录到的地震动峰值依次增大,反映出局部地形和场地条件对地震动的放大作用。高烈度区仪器地震烈度和调查地震烈度较为一致,Ⅵ度以下区域仪器地震烈度和调查地震烈度等值线方向差异较大,反映出在震害不显著情况下两种烈度的对应关系不太理想。初步震相分析发现,近断层台站垂直方向峰值较大,多个台站记录到水平向速度大脉冲现象。基于基岩地震动峰值统计了本次地震的衰减特性,PGV随距离衰减相比中国地震动参数区划图更慢,综合震相特征认为本次地震更符合浅源地震的特点。为进一步分析地震动与震害的关系,选取了2个震害较为严重乡镇的强震动记录计算5%阻尼比的拟加速度反应谱,在设计地震反应谱特征周期T g取值到1.5 s之间,台站记录反应谱值远超出设计地震反应谱,在部分周期区间还超出了罕遇地震设计反应谱值,体现出反应谱与震害较好的相关性。

广义S变换和阈值分割联合抗频谱扩展-压缩移频干扰

根据频谱扩展-压缩(spectrum spread and compression,SSC)移频干扰信号和回波信号时频分布特性的差异,提出一种基于广义S变换和Tsallis交叉熵阈值分割的干扰抑制方法。分析了SSC移频干扰的干扰原理和干扰信号经过解线调后的信号形式,并利用时频聚焦性较好的广义S变换获取接收信号经过解线调后的时频图像,根据时频图像对应的灰度图像,以Tsallis交叉熵最小化作为目标函数,求出灰度图像的最佳分割阈值,并根据分割阈值构建时频滤波器,实现干扰抑制。仿真结果表明:该方法对于SSC移频干扰产生的假目标具有较好的抑制效果,干扰抑制比可达30 dB以上。

Improving the resolution of seismic traces based on the secondary time-frequency spectrum

The resolution of seismic data is critical to seismic data processing and the subsequent interpretation of fine structures. In conventional resolution improvement methods, the seismic data is assumed stationary and the noise level not changes with space, whereas the actual situation does not satisfy this assumption, so that results after resolution improvement processing is not up to the expected effect. To solve these problems, we propose a seismic resolution improvement method based on the secondary time-frequency spectrum. First, we propose the secondary time-frequency spectrum based on S transform （ST） and discuss the reflection coefficient sequence and time-dependent wavelet in the secondary time frequency spectrum. Second, using the secondary time frequency spectrum, we design a two- dimensional filter to extract the amplitude spectrum of the time-dependent wavelet. Then, we discuss the improvement of the resolution operator in noisy environments and propose a novel approach for determining the broad frequency range of the resolution operator in the time- fi＇equency-space domain. Finally, we apply the proposed method to synthetic and real data and compare the results of the traditional spectrum-modeling deconvolution and Q compensation method. The results suggest that the proposed method does not need to estimate the Q value and the resolution is not limited by the bandwidth of the source. Thus, the resolution of the seismic data is improved sufficiently based on the signal-to-noise ratio （SNR）.

Hot‐electron‐assisted S‐scheme heterojunction of tungsten oxide/graphitic carbon nitride for broad‐spectrum photocatalytic H_(2)generation

Extended light absorption and dynamic charge separation are vital factors that determine the effectivenessof photocatalysts.In this study,a nonmetallic plasmonic S‐scheme photocatalyst was fabricatedby loading 1D plasmonic W_(18)O_(49)nanowires onto 2D g‐C_(3)N_(4)nanosheets.W_(18)O_(49)nanowiresplay the dual role of a light absorption antenna—that extends light adsorption—and a hot electrondonor—that assists the water reduction reaction in a wider light spectrum range.Moreover,S‐scheme charge transfer resulting from the matching bandgaps of W_(18)O_(49)and g‐C_(3)N_(4)can lead tostrong redox capability and high migration speed of the photoinduced charges.Consequently,in thisstudy,W_(18)O_(49)/g‐C_(3)N_(4)hybrids exhibited higher photocatalytic H2 generation than that of pristineg‐C_(3)N_(4)under light irradiation of 420–550 nm.Furthermore,the H2 production rate of thebest‐performing W_(18)O_(49)/g‐C_(3)N_(4)hybrid was 41.5μmol·g^(−1)·h^(−1)upon exposure to monochromaticlight at 550 nm,whereas pure g‐C_(3)N_(4)showed negligible activity.This study promotes novel andenvironmentally friendly hot‐electron‐assisted S‐scheme photocatalysts for the broad‐spectrumutilization of solar light.

The quantum Kirchhoff equation and quantum current and energy spectrum of a homogeneous mesoscopic dissipation transmission line

On the basis of quantization of charge, the loop equations of quantum circuits are investigated by using the Helsenberg motion equation for a mesoscopic dissipation transmission line. On the supposition that the system has a symmetry under translation in charge space, the quantum current and the quantum energy spectrum in the mesoscopic transmission llne are given by solving their eigenvalue equations. Results show that the quantum current and the quantum energy spectrum are not only related to the parameters of the transmission llne, but also dependent on the quantized character of the charge obviously.

Surface-sulfurized Ag_2O nanoparticles with stable full-solar-spectrum photocatalytic activity

Ag2O has attracted much recent attention,because of its high photocatalytic activity in the ultraviolet(UV)‐visible region.However,there have been few reports on the near‐infrared(NIR)photocatalytic activity of Ag2O.This paper reports the high NIR photocatalytic activity of Ag2O nanoparticles.Ag2O is unsuitable for application in full‐solar‐spectrum photocatalysis,because it is unstable under UV irradiation.A surface sulfurization process was carried out to address this issue.Specifically,a layer of Ag2S2O7nanoparticles was grown on the surface of the Ag2O nanoparticles,to improve the stability of the Ag2O photocatalyst and enhance its photocatalytic activity in the UV,visible and NIR regions.The Ag2O/Ag2S2O7heterostructure is a stable and efficient full‐solar‐spectrum photocatalyst.It has potential application in the photodegradation of organic pollutants,and more generally in environmental engineering where full utilization of the solar spectrum is required.

Autism spectrum disorder and personality disorders: Comorbidity and differential diagnosis

BACKGROUND Differential diagnosis,comorbidities and overlaps with other psychiatric disorders are common among adults with autism spectrum disorder(ASD),but clinical assessments often omit screening for personality disorders(PD),which are especially common in individuals with high-functioning ASD where there is less need for support.AIM To summarize the research findings on PD in adults with ASD and without intellectual disability,focusing on comorbidity and differential diagnosis.METHODS PubMed searches were performed using the key words“Asperger’s Syndrome”,“Autism”,“Personality”,“Personality disorder”and“comorbidity”in order to identify relevant articles published in English.Grey literature was identified through searching Google Scholar.The literature reviews and reference sections of selected papers were also examined for additional potential studies.The search was restricted to studies published up to April 2020.This review is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method.RESULTS The search found 22 studies carried out on ASD adults without intellectual disability that met the inclusion criteria:16 evaluated personality profiles or PD in ASD(comorbidity),five compared ASD and PD(differential diagnosis)and one performed both tasks.There were significant differences in the methodological Cluster A and cluster C PD are the most frequent co-occurring PD,but overlapping features should be considered.Data on differential diagnosis were only found with cluster A and cluster B PD.CONCLUSION ASD in high-functioning adults is associated with a distinct personality profile even if variability exists.Further studies are needed to explore the complex relationship between ASD and PD.

Higher frequency of brain abnormalities in neuromyelitis optica spectrum disorder patients without primary Sjogren's syndrome

Neuromyelitis optica spectrum disorder often co-exists with primary Sjogreffs syndrome. We compared the clinical features of 16 neuro- myelitis optica spectrum disorder patients with （n = 6） or without primary Sjogreffs syndrome （n = 10）. All patients underwent extensive clinical, laboratory, and MRI evaluations. There were no statistical differences in demographics or first neurological involvement at onset between neuromyelitis optica spectrum disorder patients with and without primary Sjogren＇s syndrome. The laboratory findings of cerebrospinal fluid oligoclonal banding, serum C-reactive protein, antinudear autoantibody, anti-Sjogren＇s-syndrome-related antigen A an- tibodies, anti-Sjogren＇s-syndrome-related antigen B antibodies, and anti-Sm antibodies were significantly higher in patients with primary Sjogren＇s syndrome than those without. Anti-aquaporin 4 antibodies were detectable in 67% （4/6） of patients with primary Sjogren＇s syndrome and in 60% （6/10） of patients without primary Sj6gren＇s syndrome. More brain abnormalities were observed in patients without primary Sj6gren＇s syndrome than in those with primary Sj6gren＇s syndrome. Segments lesions （〉 3 centrum） were noted in 50% （5/10） of patients without primary Sj6gren＇s syndrome and in 67% （4/6） of patients with primary Sjogren＇s syndrome. These findings indicate that the clinical characteristics of neuromyelitis optica spectrum disorder patients with and without primary Sjogren＇s syndrome are similar. However, neu- romyelitis optica spectrum disorder patients without primary Sjogreffs syndrome have a high frequency of brain abnormalities.