Consistent and Specific Multi-View Functional Brain Networks Fusion for Autism Spectrum Disorder Diagnosis

Functional brain networks (FBN) based on resting-state functional magnetic resonance imaging (rs-fMRI) have become an important tool for exploring underlying organization patterns in the brain, which can provide an objective basis for brain disorders such as autistic spectrum disorder (ASD). Due to its importance, researchers have proposed a number of FBN estimation methods. However, most existing methods only model a type of functional connection relationship between brain regions-of-interest (ROIs), such as partial correlation or full correlation, which is difficult to fully capture the subtle connections among ROIs since these connections are extremely complex. Motivated by the multi-view learning, in this study we propose a novel Consistent and Specific Multi-view FBNs Fusion (CSMF) approach. Concretely, we first construct multi-view FBNs (i.e., multiple types of FBNs modelling various relationships among ROIs), and then these FBNs are decomposed into a consistent representation matrix and their own specific matrices which capture their common and unique information, respectively. Lastly, to obtain a better brain representation, it is fusing the consistent and specific representation matrices in the latent representation spaces of FBNs, but not directly fusing the original FBNs. This potentially makes it more easily to find the comprehensively brain connections. The experimental results of ASD identification on the ABIDE datasets validate the effectiveness of our proposed method compared to several state-of-the-art methods. Our proposed CSMF method achieved 72.8% and 76.67% classification performance on the ABIDE dataset.

Phase spectrum estimation of the seismic wavelet based on a criterion function

Phase spectrum estimation of the seismic wavelet is an important issue in high-resolution seismic data processing and interpretation. On the basis of two patterns of constant-phase rotation and root transform for wavelet phase spectrum variation, we introduce six sparse criteria, including Lu’s improved kurtosis criterion, the parsimony criterion, exponential transform criterion, Sech criterion, Cauchy criterion, and the modified Cauchy criterion, to phase spectrum estimation of the seismic wavelet, obtaining an equivalent effect to the kurtosis criterion. Through numerical experiments, we find that when the reflectivity is not a sparse sequence, the estimated phase spectrum of the seismic wavelet based on the criterion function will deviate from the true value. In order to eliminate the influence of non-sparse reflectivity series in a single trace, we apply the method to the multi-trace seismogram, improving the accuracy of seismic wavelet phase spectrum estimation.

239Pu alpha spectrum analysis based on PIPS detector response function and variations with vacuum and distance

Effect factors of the absorption of the source,air,entrance window,and dead layer of a detector must be considered in the measurement of monoenergetic alpha particles,along with statistical noise and other factors that collectively cause the alpha spectrum to exhibit a well-known low-energy tail.Therefore,the estabUshment of an alpha spectrum detector response function from the perspective of a signaling system must consider the various factors mentioned above.The detector response function is the convolution of an alphaparticle pulse function,two exponential functions,and a Gaussian function,followed by calculation of the parameters of the detector response function using the weighted leastsquares fitting method as proposed in this paper.In our experiment,^(239)Pu alpha spectra were measured by a highresolution,passivated implanted planar silicon(PIPS)detector at 10 levels of vacuum and 10 source-detector distances.The spectrum-fitting results were excellent as evaluated by reduced Chi-square(x^2) and correlation coefficients.Finally,the variation of parameters with vacuum level and source-detector distance was studied.Results demonstrate that σ,τ_1,and τ_2 exhibit no obvious trend of variation with vacuum in the range 2000-20,000 mTorr,and at a confidence level of 95%,the values of τ_1 and τ_2 decline in a similar fashion with source-detector distance by the power exponential function,while the value of a declines linearly.

A proposed directional function and wind-wave directional spectrum

A directional function for frequencies equal to and larger than the peak frequency of a wind-wave frequency spectrum is constructed by fitting the angular spreading based on the analytically derived directional spectrum of Wen et al. (1993, Journal of Oceanography, 49(2), 131～147, 149～172). For frequencies smaller than the peak frequency, the directional function is obtained by comparing and analyzing existing formulas. The nondimensional wind-wave frequency spectrum of Wen et al. (1994, Progress in Natural Seience, 4(4). 407～427;4 (5), 586～596) has been used together with the directional function just mentioned to obtain the directional spectrum for easier application.

The Effects of Xbox Kinect Active Video Gaming on Executive Function, Inhibition, in Children with and without Autism Spectrum Disorder: A Pilot Study

The purpose of this study was to compare the effects of sedentary video gaming (SVG), active video gaming (AVG), and brisk walking (WLK) on inhibition and reaction time using the Flanker task in boys with and without autism spectrum disorder (ASD). We had 9 participants with ASD and 10 age-matched participants without ASD perform 20-minute bouts of each activity, and then had them take the Flanker test. Dependent measures were reaction time (RT) and accuracy (ACC). A Chi-Square analysis revealed that the ASD and TD groups significantly differed in the percent of participants who improved in both of these measures. Next, we looked at each of the conditions exclusively within the ASD group and compared congruent and incongruent trials. In the AVG condition, participants improved a significantly higher percentage on ACC. In the SVG condition, participants improved a significantly higher percentage on incongruent in RT;for ACC, a higher percentage improved on the congruent trials. In WLK, participants improved a significantly higher percentage in RT in the congruent condition.

A single diffractive optical element implementing spectrum-splitting and beam-concentration functions simultaneously with high diffraction efficiency

In this paper,a novel method is proposed and employed to design a single diffractive optical element（DOE） for implementing spectrum-splitting and beam-concentration（SSBC） functions simultaneously.We develop an optimization algorithm,through which the SSBC DOE can be optimized within an arbitrary thickness range according to the limitations of modern photolithography technology.Theoretical simulation results reveal that the designed SSBC DOE has a high optical focusing efficiency.It is expected that the designed SSBC DOE should have practical applications in high-efficiency solar cell systems.

Geant4 simulation of multi-sphere spectrometer response function and the detection of 241Am–Be neutron spectrum

This paper is aimed at detecting the neutron spectrum of^(241)Am–Be, a widely used neutron source, with the SP9 ~3He proportional counter, which is a multi-sphere spectrometer system of eight thermal neutron detectors embedded in eight polyethylene(PE) spheres of varying diameters. The transport processes of a neutron in the multi-sphere spectrometer are simulated using the Geant4 code. Two sets of response functions of the PE spheres are obtained for calculating the^(241)Am–Be neutron spectrum.Response Function 1 utilizes the thermal neutron scattering model G4 Neutron HPThermal Scattering for neutron energies of ≤4 eV, and Response Function 2 has no thermal treatment. Neutron spectra of an^(241)Am–Be neutron source are measured and compared to those calculated by using the response functions. The results show that response function with thermal treatment is more accurate and closer to the real spectrum.

Chrestenson Spectrum and Auto-Correlation Function of Inverse Permutations of Quick Trickle Permutations

In this paper, a sufficient and necessary condition of quick trickle permutations is given from the point of inverse permutations. The bridge is built between quick trickle permutations and m-value logic functions. By the methods of the Chrestenson spectrum of m-value logic functions and the auto-correlation function of m-value logic functions to investigate the Chrestenson spectral characteristics and the auto-correlation function charac- teristics of inverse permutations of quick trickle permutations, a determinant arithmetic of quick trickle permutations is given. Using the results, it becomes easy to judge that a permutation is a quick trickle permutation or not by using computer. This gives a new pathway to study constructions and enumerations of quick trickle permutations.

Simulation of γ spectrum-shifting based on the parameter adjustment of Gaussian function space

Based on the statistical characteristics of energy spectrum and the features of spectrum-shifting in spectrometry,the parameter adjustment method of Gaussian function space was applied in the simulation of spectrum-shifting.The transient characteristics of energy spectrum were described by the Gaussian function space,and then the Gaussian function space was transferred by parameter adjustment method.Furthermore,the spectrum-shifting in measurement of energy spectrum was simulated.The applied example shows that the parameters can be adjusted flexibly by this method to meet the various requirements in simulation of energy spectrum-shifting.This method was one parameterized simulation method with good performance for the practical application.

The Relationship between Executive Functioning and Emotional Intelligence in Children with Autism Spectrum Disorder

Children with Autism Spectrum Disorder (ASD) demonstrate marked deficits in the ability to initiate, maintain and sustain meaningful social interaction. While the social-emotional deficits represent a core set of problems, persons with ASD also demonstrate significant problems in initiating, sustaining and maintaining appropriate goal directed behaviors. Emotional Intelligence (EI) is a construct that has been successfully applied to a range of skills that allow for the prediction of competent human social behavior. Executive Functions (EF) refer to constructs involving cognitive abilities necessary for initiating, sustaining and maintaining purposeful goal-oriented behavior. While both children and adults with ASD have previously shown to have atypical patterns of EF skills, little is known about EI in either children or adults with ASD. Moreover, there is no study examining the relationship between EI and EF that has been reported in individuals with ASD. The current study examined the relationship between EF and EI in children with ASD. Twenty children with ASD were compared to twenty neurotypical children on self-report and clinical assessments of EI and EF. Although the relationship between EF and EI was not statistically significant, results showed that children with ASD have deficits in interpersonal skills, intrapersonal skills and overall EI when compared to their neurotypical peers. These results suggest that EF and EI are relatively independent domains of development that show compromise in persons with ASD and each may be necessary to support typical socially directed behaviors.

二维斑点追踪技术在评估冠心病患者左心室收缩与舒张功能中的应用价值

目的探讨二维斑点追踪技术在评估老年冠心病患者左心室收缩与舒张功能中的应用价值。方法对60例老年冠心病患者(研究组)和60名健康老年人(对照组),应用彩色多普勒超声诊断仪进行左心室功能检查。比较两组血压、生化指标(三酰甘油、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、总胆固醇、糖化血红蛋白)及常规超声参数、二维斑点超声应变参数、血流频谱测量超声参数。结果研究组受试者收缩压、舒张压及三酰甘油、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、总胆固醇、糖化血红蛋白水平均高于对照组(P<0.01)。两组受试者收缩末期和舒张末期的左室内径、室间隔壁厚度、左室前/后/下壁厚度比较,差异无统计学意义(P>0.05)。研究组受试者左室舒张充盈末流速峰值/左室收缩末流速峰值低于对照组(P<0.05);两组受试者左室射血分数、左室舒张充盈末流速峰值、左室收缩末流速峰值比较,差异无统计学意义(P>0.05)。研究组受试者舒张期和收缩期的左心室前壁、后壁、下壁、室间隔的纵向、径向、周向峰值绝对值均低于对照组(P<0.01)。结论二维斑点追踪技术的抗干扰能力较强,二维斑点超声应变参数能有效反映冠心病患者左室收缩、舒张情况,具有较高的应用价值。

rTMS联合综合康复干预对孤独症谱系障碍患儿临床症状及语言功能康复的影响

目的探究重复经颅磁刺激(repetitive transcranial magnetic stimulation,rTMS)联合综合康复干预对孤独症谱系障碍(autism spectrum disorder,ASD)患儿临床症状及语言功能康复的影响。方法选取2021年8月~2023年5月在湖南省儿童医院康复中心接受治疗的141例ASD儿童,采用随机数表法分为观察组(72例)和对照组(69例)。对照组患儿给予常规综合康复治疗,观察组患儿在对照组基础上给予rTMS治疗,并对所有患儿进行5个月跟踪随访。对比相关参数及量表评分。结果治疗后,观察组孤独症行为量表(autism behavior checklist,ABC)和儿童孤独症评定量表(childhood autism rating s cale,CARS)评分均显著低于对照组(P<0.05),对比0~6岁小儿神经心理发育检查表得分,观察组治疗后适应能力、社交能力及语言功能得分均显著高于对照组(P<0.05),两组粗大动作、精细动作得分无显著差异(P>0.05)。末次随访时,观察组患儿的言语行为里程碑评估和安置计划(verbal behavior milestones assessment and placement program,VB-MAPP)得分显著高于对照组(P<0.05)。结论rTMS联合综合康复干预可显著改善ASD症状,提高患儿神经、语言、社交及感知等能力。

肝、肾功能及免疫相关指标在视神经脊髓炎谱系疾病诊断中的应用价值

目的分析肝功能、肾功能、自身抗体指标在神经脊髓炎谱系疾病(NMOSD)患者中的分布特点及其诊断价值。方法回顾性收集2015年6月至2023年6月在首都医科大学附属北京天坛医院确诊为NMOSD、多发性硬化(MS)患者,以及性别、年龄匹配的常规体检健康者肝功能、肾功能和自身抗体检测数据。共纳入95例NMOSD患者(NMOSD组)、230例MS患者(MS组)、244例常规体检健康者(常规体检组),评估各指标对NMOSD的诊断价值。结果与MS组相比,NMOSD组丙氨酸氨基转移酶、α-羟基丁酸脱氢酶、γ-谷氨酰基转移酶水平,以及抗SS-A抗体、抗SS-B抗体、抗核糖体P蛋白抗体和Ro-52抗体阳性率等明显升高,白蛋白、间接胆红素、总胆红素水平明显降低,差异均有统计学意义(P<0.05)。NMOSD组与常规体检组差异指标与MS组相似。α-羟丁酸脱氢酶、白蛋白、球蛋白、直接胆红素、间接胆红素、总胆汁酸和尿酸碱度7项指标均可用于NMOSD诊断,联合诊断的曲线下面积为0.969,灵敏度和特异度为92.6%和92.9%。结论NMOSD患者多种肝、肾功能指标与MS和常规体检健康者存在差异,NMOSD患者部分自身抗体指标阳性率高于MS患者,临床可将肝、肾功能及自身抗体指标用于辅助诊断,并且多指标联合应用可进一步提升其诊断价值。

家庭功能和积极应对方式对孤独症谱系障碍儿童父母养育倦怠的影响

目的 分析家庭功能和积极应对方式对孤独症谱系障碍(ASD)儿童父母养育倦怠的影响。方法 采用便利抽样法,选取2022年6月至2023年5月在东莞市妇幼保健院确诊的ASD儿童的父母60名作为试验组,选取健康正常儿童的父母60名作为对照组,比较两组家庭功能问题;Pearson相关分析试验组家庭功能、父母养育倦怠、积极应对方式的关系;中介效应检验采用Bootstrap方法;通过多元线性回归分析父母养育倦怠的影响因素。结果 两组在家庭功能评定量表各维度、简易应对方式量表(积极应对)、养育倦怠量表、孤独症行为量表、儿童孤独症评定量表、日常生活活动能力量表、儿童发育行为评估量表方面比较,差异有统计学意义(P <0.05)。Pearson相关分析结果显示,家庭功能、积极应对方式与父母养育倦怠之间存在显著的负相关(r=-0.186、-0.898,P=0.006、0.004),家庭功能与积极应对方式之间存在显著的正相关(r=0.048,P=0.005)。积极应对方式在家庭总体功能与养育倦怠中起部分中介作用,间接效应占总效应的37.98%。多元线性回归分析,家庭功能评定量表、简易应对方式量表、孤独症行为量表、儿童孤独症评定量表、日常生活活动能力量表、儿童发育行为评估量表评分是ASD患儿父母养育倦怠的影响因素(P <0.05)。结论 家庭功能和积极应对方式在ASD儿童父母养育倦怠中起重要作用。

Estimating Brain Functional Networks Based on Spatiotemporal Higher-Order Correlations for Autism Identification

Brain functional network (BFN) has become an important tool for the analysis and diagnosis of brain diseases, and how to build a high-quality BFN based on resting-state functional magnetic resonance imaging (rs-fMRI) has become a growing concern in the neuroscience community. Although some methods have been proposed to construct a high-quality BFN, they only encode the spatial characteristics of the ROIs, ignoring the temporal characteristics. As a result, it becomes challenging to accurately capture the true state of the brain. To address this problem, we propose a novel method to construct a higher-order BFN, considering both temporal and spatial domain characteristics. In particular, we get the characteristics of the temporal domain by differentiating the rs-fMRI signal itself, and then we integrate the information of the spatial domain and temporal domain to build a high-order BFN. To evaluate the proposed method, we conduct our experiments on ABIDE database to identify subjects with Autism Spectrum Disorder (ASD) from normal controls. Experimental results show that our method can achieve higher performance than baseline methods.

基于模块化思想的航空装备保障设备功能型谱标准研究

为了研究如何将MOSA(模块化开放系统方法)应用于航空装备保障设备的设计研制工作中,本文分析了MOSA的发展历程以及MIL-STD-864如何将模块化设计方法应用于保障设备设计研制领域,阐明了美军保障设备模块化设计方法对我军保障设备发展的启示。以此为基础,进一步开展我军航空装备保障设备功能型谱发展建议研究,先后提出了保障设备模块化设计方法以及模块化保障设备功能型谱设计方法,明确了标准化对于保障设备模块化设计的意义,提出了航空装备保障设备功能型谱。为推进保障设备模块化设计思路在我军的应用提供了引导和支撑。

海浪谱法模拟海面场景仿真参数选取准则

为提升海面场景模拟的物理真实感,本文探讨了仿真参数对海洋粗糙面模拟精确性的影响,并建立了海表模拟中仿真参数的选取准则。依据海浪谱和随机过程统计理论,采用自相关函数研究了海面相关长度随风速变化规律。通过建立海浪蒙特卡罗仿真模型,结合随机粗糙面误差分析,提出了不同风速条件下海面场景仿真参数的选取准则。研究表明:将海表模拟的采样间隔限定在顺风向相关长度的0.1~0.5倍,可显著提高海面场景模拟的精确度;而当海面仿真参数超出上述范围时,可能导致海面场景模拟失真,进而影响其视觉真实感。本文所提出的仿真参数选取标准可为开发航海模拟器提供技术支撑。

应用平均幅度差函数之和分析心电信号对除颤最佳时机的预测价值

目的应用平均幅度差函数之和(the sum of average magnitude difference function,SAMDF)处理室颤的心电信号,通过与常用预测除颤时间方法振幅谱面积(amplitude spectrum area,AMSA)进行对比找到预测除颤时间更优的方法。方法应用56头重(40±5)kg雄性家猪,诱导室颤后进行10 min未处理的室颤、6 min的心肺复苏和除颤。在室颤和心肺复苏过程当中会记录每1 min SAMDF和AMSA的数据并记录下来。进而计算受试者工作特征(receiver operating characteristic,ROC)曲线,应用单向方差分析(one-way analyses of variance,one-way ANOVA)以及正负样本散点图的比较,以此说明两者均能优化最佳除颤时间。比较除颤成功组(Group R)和除颤失败组(Group N)的SAMDF和AMSA的数值以说明两者预测除颤成功的能力。结果散点图显示SAMDF和AMSA均能够区分阳性和负样本(P<0.001)。ROC曲线显示SAMDF(AUC=0.801,P<0.001)和AMSA(AUC=0.777,P<0.001)一样有着相同的能力预测最佳除颤时间。两组SAMDF和AMSA数值比较,Group R的SAMDF和AMSA数值明显高于Group N(P<0.001)。结论SAMDF在优化预测除颤时机方面具有很高的潜力,并且可以作为AMSA等现有有效预测除颤时机特征的补充。

地震背景噪声功率谱密度及概率密度函数的计算及其Matlab实现

介绍了地震背景噪声功率谱密度及概率密度函数计算方法及涉及的一些概念,以台站实际数据为例,给出了应用Matlab计算噪声功率谱密度及其概率密度函数的程序算法,该方法直接输入文本格式数据,计算台基噪声功率谱概率密度函数;以洛阳地震台24小时的连续波形记录为例,详细叙述了原始数据去仪器响应、计算功率谱密度、倍频程计算和噪声功率谱密度的概率密度函数计算实现的全过程。该方法编程简单,适用于单台噪声水平评估,在野外台站的快速勘选中具有潜在应用价值。

数字T/R组件发射频谱控制技术研究

现代武器装备单平台集成的各频段雷达、通信等无线电设备数量越来越多,且发射信号均向高功率、超宽带等方向发展,使得雷达与其他设备之间的发射频谱交叠严重,进而导致不同设备之间存在严重的电磁干扰问题。文中针对不同无线电设备收发信号之间的电磁干扰问题进行了分析,重点讨论了数字T/R组件脉冲发射带外频谱分量的产生机理和改善方法,提出了针对性的频谱控制措施,并在某雷达数字T/R组件上开展了试验验证,证明了该频谱控制方法的有效性。