Correlation of pattern reversal visual evoked potential parameters with the pattern standard deviation in primary open angle glaucoma

AIM:To evaluate whether glaucomatous visual field defect particularly the pattern standard deviation(PSD)of Humphrey visual field could be associated with visual evoked potential(VEP)parameters of patients having primary open angle glaucoma(POAG).METHODS:Visual field by Humphrey perimetry and simultaneous recordings of pattern reversal visual evoked potential(PRVEP)were assessed in 100 patients with POAG.The stimulus configuration for VEP recordings consisted of the transient pattern reversal method in which a black and white checker board pattern was generated(full field)and displayed on VEP monitor(colour 14')by an electronic pattern regenerator inbuilt in an evoked potential recorder(RMS EMG EP MARK II).RESULTS:The results of our study indicate that there is a highly significant(P【0.001)negative correlation of P100 amplitude and a statistically significant(P【0.05)positive correlation of N70 latency,P100 latency and N155 latency with the PSD of Humphrey visual field in the subjects of POAG in various age groups as evaluated by Student’s t-test.CONCLUSION:Prolongation of VEP latencies were mirrored by a corresponding increase of PSD values.Conversely,as PSD increases the magnitude of VEP excursions were found to be diminished.

Impact of Different Grinding Aids on Standard Deviation in X-Ray Fluorescence Analysis of Cement Raw Meal

X-ray fluorescence (XRF) analysis utilizes particle size which is resulted from milling of a material. The milling ensures uniform and fine grained powder. The finer and more uniform the particle size is, the better the result and easier it is for material quality control. To ensure uniformity in particle size and finer powder, a comparative analysis was conducted with different grinding aids and pressed pellet method was used in obtaining analysis results. Pressed pellets of cement raw meal sample milled with different grinding aids (graphite, aspirin and lithium borate) were subjected to XRF. Graphite produced better particle size uniformity with a corresponding standard deviation that made quality control of raw meal easier and better than aspirin and lithium borate.

The Arithmetic Mean Standard Deviation Distribution: A Geometrical Framework

The current attempt is aimed to outline the geometrical framework of a well known statistical problem, concerning the explicit expression of the arithmetic mean standard deviation distribution. To this respect, after a short exposition, three steps are performed as 1) formulation of the arithmetic mean standard deviation, , as a function of the errors, , which, by themselves, are statistically independent;2) formulation of the arithmetic mean standard deviation distribution, , as a function of the errors,;3) formulation of the arithmetic mean standard deviation distribution, , as a function of the arithmetic mean standard deviation, , and the arithmetic mean rms error, . The integration domain can be expressed in canonical form after a change of reference frame in the n-space, which is recognized as an infinitely thin n-cylindrical corona where the symmetry axis coincides with a coordinate axis. Finally, the solution is presented and a number of (well known) related parameters are inferred for sake of completeness.

Numerical investigation on the caving mechanism with different standard deviations of top coal block size in LTCC

The size distribution of the broken top coal blocks is an important factor,affecting the recovery ratio and the efficiency of drawing top coal in longwall top coal caving(LTCC)mining panel.The standard deviation of top coal block size(dt)is one of the main parameters to reflect the size distribution of top coal.To find the effect of dt on the caving mechanism,this study simulates experiments with 9 different dt by using discrete element software PFC.The dt is divided into two stages:uniform distribution stage(UDS)whose dt is less than 0.1(Schemes 1–5),and nonuniform distribution stage(NDS)whose dt is more than 0.1(Schemes 6–9).This research mainly investigates the variation of recovery ratio,drawing body shape,boundary of top coal,and contact force between particles in the two stages,respectively.The results showed that with the increasing dt,the recovery ratio of the panel increases first and then decreases in UDS.It is the largest in Scheme 3,which mainly increases the drawing volume at the side of starting drawing end.However,the recovery ratio decreases first and then increases quickly in NDS,and it is the largest in Scheme 9,where the drawing volume at the side of finishing drawing end are relatively higher.In UDS,the major size of top coal is basically medium,while in NDS,the size varies from medium to small,and then to large,with a distinct difference in shape and volume of the drawing body.When the major size of top coal is medium and small,the cross-section width of the initial boundary of top coal at each height is relatively small.Conversely,when the top coal size is large,the initial boundary of top coal has a larger opening range,the rotating angle of lower boundary is relatively small in the normal drawing stage,which is conducive to the development of drawing body and reduces the residual top coal,and the maximum particle velocity and the particles movement angle are both larger.This study lays a foundation for the prediction of recovery ratio,and suggests that the uniform top coal is more manageable and has a larger recovery ratio.

Unbiased Estimation Formula of Unit Weight Standard Deviation in Regularization Solution

Regularization method is an effective method for solving ill\|posed equation. In this paper the unbiased estimation formula of unit weight standard deviation in the regularization solution is derived and the formula is verified with numerical case of 1 000 sample data by use of the typical ill\|posed equation, i.e. the Fredholm integration equation of the first kind.

The Weighted Mean Standard Deviation Distribution: A Geometrical Framework

The current attempt is aimed to extend previous results, concerning the explicit expression of the arithmetic mean standard deviation distribution, to the general case of the weighted mean standard deviation distribution. To this respect, the integration domain is expressed in canonical form after a change of reference frame in the n-space, which is recognized as an infinitely thin n-cylindrical corona where the axis coincides with a coordinate axis and the orthogonal section is an infinitely thin, homotetic (n-1)-elliptical corona. The semiaxes are formulated in two different ways, namely in terms of (1) eigenvalues, via the eigenvalue equation, and (2) leading principal minors of the matrix of a quadratic form, via the Jacobi formulae. The distribution and related parameters have the same formal expression with respect to their counterparts in the special case where the weighted mean coincides with the arithmetic mean. The reduction of some results to ordinary geometry is also considered.

Development and Parallelization of an Improved 2D Moving Window Standard Deviation Python Routine for Image Segmentation Purposes

Two additional features are particularly useful in pixelwise satellite data segmentation using neural networks: one results from local window averaging around each pixel (MWA) and another uses a standard deviation estimator (MWSD) instead of the average. While the former’s complexity has already been solved to a satisfying minimum, the latter did not. This article proposes a new algorithm that can substitute a naive MWSD, by making the complexity of the computational process fall from O(N2n2) to O(N2n), where N is a square input array side, and n is the moving window’s side length. The Numba python compiler was used to make python a competitive high-performance computing language in our optimizations. Our results show efficiency benchmars

Improved Image Contrast Enhancement Based on Local Standard Deviation and Compared with Other Algorithms

An adaptive contrast enhancement (ACE) algorithm is presented in this paper, in which the contrast gain is determined by mapping the local standard deviation (LSD) histogram of an image to a Gaussian distribution function. The contrast gain is nonlinearly adjusted to avoid noise overenhancement and ringing artifacts while improving the detail contrast with less computational burden. The effectiveness of our method is demonstrated with radiological images and compared with other algorithms.

How to impute study-specific standard deviations in metaanalyses of skewed continuous endpoints?

AIM: To compare four methods to approximate mean and standard deviation(SD) when only medians and interquartile ranges are provided.METHODS: We performed simulated meta-analyses on six datasets of 15, 30, 50, 100, 500, and 1000 trials, respectively. Subjects were iteratively generated from one of the following seven scenarios: five theoretical continuous distributions [Normal, Normal(0, 1), Gamma, Exponential, and Bimodal] and two real-life distributions of intensive care unit stay and hospital stay. For each simulation, we calculated the pooled estimates assembling the study-specific medians and SD approximations: Conservative SD, less conservative SD, mean SD, or interquartile range. We provided a graphical evaluation of the standardized differences.To show which imputation method produced the best estimate, we ranked those differences and calculated the rate at which each estimate appeared as the best, second-best, third-best, or fourth-best.RESULTS: Our results demonstrated that the best pooled estimate for the overall mean and SD was provided by the median and interquartile range(mean standardized estimates: 4.5 ± 2.2, P = 0.14) or by the median and the SD conservative estimate(mean standardized estimates: 4.5 ± 3.5, P = 0.13). The less conservative approximation of SD appeared to be the worst method, exhibiting a significant difference from the reference method at the 90% confidence level. The method that ranked first most frequently is the interquartile range method(23/42 = 55%), particularly when data were generated according to the Standard Normal, Gamma, and Exponential distributions. The second-best is the conservative SD method(15/42 = 36%), particularly for data from a bimodal distribution and for the intensive care unit stay variable. CONCLUSION: Meta-analytic estimates are not significantly affected by approximating the missing values of mean and SD with the correspondent values for median and interquartile range.

Perceptual Gradient Similarity Deviation for Full Reference Image Quality Assessment

Perceptual image quality assessment(IQA)is one of the most indispensable yet challenging problems in image processing and computer vision.It is quite necessary to develop automatic and efficient approaches that can accurately predict perceptual image quality consistently with human subjective evaluation.To further improve the prediction accuracy for the distortion of color images,in this paper,we propose a novel effective and efficient IQA model,called perceptual gradient similarity deviation(PGSD).Based on the gradient magnitude similarity,we proposed a gradient direction selection method to automatically determine the pixel-wise perceptual gradient.The luminance and chrominance channels are both took into account to characterize the quality degradation caused by intensity and color distortions.Finally,a multi-scale strategy is utilized and pooled with different weights to incorporate image details at different resolutions.Experimental results on LIVE,CSIQ and TID2013 databases demonstrate the superior performances of the proposed algorithm.

基于STD标准的仪器可互换技术

仪器可互换技术是新一代自动测试系统的关键技术之一。针对可互换技术只能实现同类仪器的互换,无法实现具有相同信号能力的不同类仪器的互换以及多功能仪器的互换等问题,文中开展面向信号的仪器可互换技术研究。STD标准是信号和测试定义标准,为实现面向信号的仪器可互换技术提供支撑。首先分析面向信号的仪器控制模型,找出测试描述中与仪器相关的重要环节,即信号操作与信号接口的映射关系,以及测试描述与仪器能力的信号匹配;再建立统一的函数接口,实现不同角色信号的标准化映射过程,通过设计自定义匹配流程,根据信号类型及对应的属性表达式实现信号的自动匹配;最后,对仪器互换过程进行验证。结果表明,基于STD标准的仪器可互换技术不仅能够实现同类仪器的互换,还能实现不同类仪器的互换,实现过程简单方便。

考虑风速纵、横分量的列车气动载荷变化特性

为探索侧向环境风作用下列车气动载荷变化特性,对任意风向角下随车移动点处的风速纵、横分量进行建模,研究考虑风速纵、横分量的列车气动载荷计算方法,并分析在列车速度200~400 km/h、平均风速10~35 m/s及风向角30°~150°时的列车气动载荷特性.研究发现:在不同风向角下,考虑风速横向分量后,高速列车气动载荷波动变大,作用于列车上的瞬时气动载荷极值增大;风速横向分量主要影响列车气动载荷的标准差,且影响程度与风向角有关;随着风向角接近临界风向角,风速横向分量对列车气动载荷标准差的影响逐渐变小,随着风向角远离临界风向角,风速横向分量对列车气动载荷标准差的影响逐渐变大;列车气动载荷的标准差/均值主要与侧偏角有关,且在风向角为30°及150°时较大,其次是风向角60°和120°,而在风向角90°时则较小.

嫦娥4/5号月球探测器VLBI观测数据质量分析

在中国探月工程(China’s Lunar Exploration Program,CLEP)中,甚长基线干涉测量技术(very long baseline interferometry,VLBI)具有重要作用。为获得月球探测器的准确定位、实现精确的测定轨功能并以此在探测器飞行过程中完成轨道修正,需要利用VLBI测站对月球探测器进行实时观测。首先以均值(arithmetic mean,AM)以及标准差(standard deviation,STD)作为主要的精度指标,对来源于上海天文台的嫦娥4号探测器、中继星以及嫦娥5号探测器的VLBI实测数据进行总观测时段的数据稳定性分析,并基于嫦娥4号探测器同时段S、X双频段观测,着重进行该探测器不同频率各项数据的质量分析;然后对探测器各工作时段分别进行时延、时延率测量形式误差以及残差分析,了解各时段探测器运动情况与数据变化的相关性。结果表明,3类探测器中,嫦娥4号的实测精度最高,达到1 ns量级;嫦娥5号的观测稳定性优于其他两类探测器;不同地面站对探测器的观测精度有所差异,并且在探测器不同的工作时段,实测数据表现出不同特征。

2000—2020年非洲耕地资源时空格局变化分析

非洲地区面临严重的粮食安全问题,研究其耕地资源时空格局变化对于保障非洲粮食安全具有重要意义.基于2000—2020年间联合国粮农组织的统计数据,通过重心迁移、标准差椭圆及局部空间自相关等方法对非洲耕地资源时空格局的变化特征进行了分析.结果表明:1)非洲耕地整体数量呈稳定上升趋势,20年间耕地面积增加了6321.92万hm^(2),增长率为53.44%,但不同国家间存在差异;2)非洲耕地在几何中心以北区域分布较多,耕地重心迁移方向先向东北后转向偏西方向,移动总距离为111.86 km,偏移速率先快后慢,从前5年的平均10.27 km/a降至后15年的平均4.00 km/a左右;3)非洲耕地分布呈西北—东南向,20年来标准差椭圆转角有向水平方向倒伏趋势,椭圆面积不断缩小,向心性不断增强;4)非洲耕地分布集聚主要出现在西非的尼日尔和尼日利亚,异常区为南非及贝宁.

顾及城市发展和生态保护均衡的宜昌市生境质量多情景模拟研究

城市发展过程中不同的发展方向与生态保护目标往往会产生不同的矛盾冲突,通过均衡城市发展和生态保护之间的关系,能够促进城市发展和生态保护的耦合协调。以宜昌市为研究对象,耦合PLUS—InVEST模型并结合标准差椭圆分析,以2020年土地利用现状数据为基础,模拟自然发展、经济发展以及生态保护3种情景下2040年宜昌市生境质量变化情况。研究结果表明:1)2000—2020年宜昌市主要发生变化的地类为耕地、林地以及建设用地,其中林地与耕地为主要的转出地类,建设用地为主要的转入地类;2)在不同模拟情景下,建设用地扩张方向均由西南向东北收缩,城市扩张强度减缓,建设用地扩张强度重心并开始由东向西进行迁徙;3)在自然发展和经济发展情景下,宜昌市生境质量在未来均呈现衰退的趋势,而在生态保护情景下,宜昌市生境质量有所恢复。通过模拟未来不同政策下土地利用方式改变来反映宜昌市生境质量变化情况,为均衡城市发展与生态保护产生的矛盾和冲突有着重要意义。

局部标准差优化的密度峰值聚类算法

密度峰值聚类(clustering by fast search and find of density peaks,DPC)算法是一种基于密度的聚类算法,它可以发现任意形状和维度的类簇,是具有里程碑意义的聚类算法。然而,DPC算法的样本局部密度定义不适用于同时发现数据集的稠密簇和稀疏簇;此外,DPC算法的一步分配策略使得一旦有一个样本分配错误,将导致更多样本的错误分配,产生“多米诺骨牌效应”。针对这些问题,提出一种新的样本局部密度定义,采用局部标准差指数定义样本局部密度,克服DPC的密度定义缺陷;采用两步分配策略代替DPC的一步分配策略,克服DPC的“多米诺骨牌效应”,得到ESDTS-DPC算法。与DPC及其改进算法KNN-DPC、FKNN-DPC、DPC-CE和经典密度聚类算法DBSCAN的实验比较显示,提出的ESDTS-DPC算法具有更好的聚类准确性。

2000—2021年黄河流域化肥使用量与粮食产量时空变化特征

[目的]研究黄河流域化肥使用时空变化特征及其与粮食生产的关系,为该流域化肥施用管控提供理论依据。[方法]基于2000—2021年黄河流域化肥使用量和粮食产量相关数据,采用空间自相关分析、核密度分析和标准差椭圆等方法对黄河流域化肥使用的时空变化特征进行了分析,并探讨化肥使用量和粮食产量的关系。[结果]2000—2021年黄河流域粮食产量增长49.55%,大于化肥使用量增速(24.87%),2013年后流域化肥使用量开始波动下降,粮食产量依然保持增长趋势,化肥使用效率明显提升。近22 a来黄河流域化肥使用的区域集聚态势在持续减弱,黄河流域化肥使用量在空间上具有一定的非均衡性,热点区域主要集中在河南和山东省,冷点区域集中在青海和甘肃省,22 a来黄河流域化肥使用热点区域减少,高值聚集区向西移动,冷点区域增加。近22 a来黄河流域上中下游地区化肥使用量分别增长46.52%,38.68%和9.50%,西部地区化肥使用量快速增长,推动了流域化肥使用重心向北西西方向移动57.40 km。近22 a来黄河流域粮食产量重心向北北西方向移动22.06 km,与化肥使用量重心趋于分离。[结论]黄河流域化肥减量增效行动成效显著,但整体化肥使用强度仍为超标状态,未来仍需减少化肥使用。

均粒树脂压碎强度指标测试方法的改进及应用

提出了一种新的树脂压碎强度测试方法,完善了树脂的预处理过程,采用自动化压碎强度测试装置,增加了标准偏差作为评价指标。结果表明:新方法具有可自动判断测试终点、测试耗时短、不受人为因素干扰等优点;改进后的树脂压碎强度测试方法提高了测试精度,可用于检验树脂生产工艺水平、检查新树脂中是否掺杂回收树脂,以及判断树脂能否报废等。

美军包装标准MIL-STD-2073的发展及对我军的启示

在介绍美军包装标准MIL-STD-2073的发展与内容概况的基础上,着重分析归纳了"2073"标准的特点及其对我军包装标准化工作的启示。

颗粒体系的多尺度混合指数

对颗粒混合物均匀性的系统研究揭示了混合过程中显著的多尺度特征,特别是宏尺度上均匀的混合物在微尺度上可能表现为极度不均匀,反之亦然,同时采用不同的采样方法和混合指数表征同一混合物在同一尺度下的均匀性可能也会有所差异。尝试提出一种多尺度混合指数,即在不同尺度采用不同评价方法,并将混合指数表达为不同尺度上的分布,而不是在未定义尺度上的单一值。该多尺度表征方法可更精确与全面地反映混合物的均匀特性。