Radial Non-uniformity Index Research on High-density,High-flux CFB Riser with Stratified Injection

A high-density, high-flux circulating fluidized bed （CFB） riser （100 mm in ID and 10.614 m in height） was ap- plied in a wide range of operating conditions （with solid fluxes up to 400 kg/m2s and superficial gas velocities up to 12 m/s） to examine its radial non-uniformity dynamics. The solids holdup was determined through the use of a fiber-optic probe at 11 axial levels. The results indicated that under all operating conditions, the high superficial gas velocity and low solid flux- es maintained a low radial non-uniformity index （RNI）. The high-density/flux CFB riser had several unique characteristics, so that the peak of the radial solids holdup profile occurred at a position with r/R=0.8. The RNI and solids holdup at the cross-sectional position had a good logarithmic relationship at the low-density condition （with a mean solids holdup of 〈0.2）, and the RNI decreased when the mean solids holdup exceeded 0.2. Investigation of the dynamics of stratified injec- tion revealed that the feed ratio had an important effect on G, and on solids holdup distribution. A novel ＂〈＂ shaped axial solids holdup profile was found. Gs decreased sharply when the up-flow feed ratio exceeded 0.5, and RNI was lowest when the up-flow feed ratio was 1.

Radial Basis Approximations Based BEMD for Enhancement of Non-Uniform Illumination Images

An image can be degraded due to many environmental factors like foggy or hazy weather,low light conditions,extra light conditions etc.Image captured under the poor light conditions is generally known as non-uniform illumination image.Non-uniform illumination hides some important information present in an image during the image capture Also,it degrades the visual quality of image which generates the need for enhancement of such images.Various techniques have been present in literature for the enhancement of such type of images.In this paper,a novel architecture has been proposed for enhancement of poor illumination images which uses radial basis approximations based BEMD(Bi-dimensional Empirical Mode Decomposition).The enhancement algorithm is applied on intensity and saturation components of image.Firstly,intensity component has been decomposed into various bi-dimensional intrinsic mode function and residue by using sifting algorithm.Secondly,some linear transformations techniques have been applied on various bidimensional intrinsic modes obtained and residue and further on joining the transformed modes with residue,enhanced intensity component is obtained.Saturation part of an image is then enhanced in accordance to the enhanced intensity component.Final enhanced image can be obtained by joining the hue,enhanced intensity and enhanced saturation parts of the given image.The proposed algorithm will not only give the visual pleasant image but maintains the naturalness of image also.

Aplanatic and Telescopic Lens with a Radial Gradient of Refraction Index

It is shown that aplanatic lens with a radial gradient of refraction index is simultaneously a telescopic lens, notably not only for an axial beam, but also for an off axis parallel beam. Consideration is carried out by an algebraic way on the basis of regularities of ray paths. It is also shown that aplanatic and telescopic properties of the lens are independent of the refracting surface shapes. Various versions of lens performance are shown below.

Sex modification of the association of the radial augmentation index and incident hypertension in a Chinese community-based population

BACKGROUND Arterial stiffness,as assessed by aortic ultrasound and pulse wave velocity,is associated with incident hypertension.However,there is still no consensus on whether the augmentation index(AI)affects new onset of hypertension.This study investigated the relationship of radial AI(r AI)and incident hypertension in a Chinese community-based population without hypertension at baseline.METHOD A total of 1,615 Chinese non-hypertensive participants from an atherosclerosis cohort in Beijing,China were included in our analysis.Baseline r AI normalized to heart rate of 75 beats/min(r AIp75)was obtained using HEM-9000 AI.New-onset hypertension was defined as blood pressure≥140/90 mm Hg or self-reported hypertension or taking anti-hypertensive medications at the follow up survey.Multivariate regression models were used to evaluate the impact of r AIp75 on the risk of new-onset hypertension.RESULTS After a mean 2.35-year follow-up,213(13.19%)participants developed incident hypertension.No significant relation between r AIp75 and incident hypertension was observed in the whole population after adjustment for possible confounders(adjusted odds ratio(OR)and 95%confidence interval(CI):1.09[0.95-1.27];P=0.2260).However,r AIp75 was significantly associated with incident hypertension in women,but not in men(adjusted OR and 95%CI:1.29[1.06-1.56],P=0.0113 for women;0.91[0.72-1.15],P=0.4244 for men;P for interaction=0.0133).CONCLUSIONS Sex modified the effect of the r AI on incident hypertension in a Chinese,community-based,non-hypertensive population.Screening of the r AI could be considered in women with a high risk of hypertension for the purpose of primary intervention.

Investigation of Connecting Wind Turbine to Radial Distribution System on Voltage Stability Using SI Index and λ - V Curves

The growth of wind energy penetration level in distribution system raises the concern about its impact on the operation of the power system, especially voltage stability and power loss. Among the major concerns, this paper studied the impact of connecting wind Turbine (WT) in radial distribution system with different penetration levels and different power factor (lead and lag) on power system voltage stability and power loss reduction. Load flow calculation was carried out using forward-backward sweep method. The analysis proceeds on 9- and 33-bus radial distribution systems. Results show that voltage stability enhancement and power loss reduction should be considered as WT installation objective.

基于改进Vision Transformer的复合涡旋光束识别

为提高涡旋光通信的编码效率和解码正确率,使用两束携带不同相邻轨道角动量和径向指数的涡旋光叠加产生16种形状相似的光强分布图并用4位二进制对其进行编码,为针对大气湍流对光强分布的影响,提出了使用稀疏注意力算法优化的Vision Transformer神经网络模型,将受强湍流影响下的光强分布图作为输入进行训练,从而实现对畸变的信息进行精确识别。仿真实验表明:该模型在识别受较强程度湍流影响的涡旋光束的正确率可达95.5%且对局部细节分辨更加准确;并验证强湍流条件下,不同波长、传输距离下的识别准确率均有良好表现,体现了模型的鲁棒性和泛用性。

中国粮食生产效率的内生增长潜力与提升路径

文章基于非径向方向性距离函数和MGML指数考察中国粮食生产效率的变化趋势、内生增长潜力及提升来源,进而探寻促进粮食产业高质量发展的优化路径。研究结果表明:中国粮食生产效率总体水平不高,且在研究期内呈现“下降—稳定—上升”的三阶段演化特征,2020年距有效前沿仍有22.3%的提升空间;投入和非期望产出冗余是阻碍粮食生产效率提升的两个主要原因,面源污染、碳排放以及劳动力和机械投入过多均会带来一定程度的效率损失;2015年之前中国粮食生产效率提升主要依赖于技术进步,2015年之后技术效率和技术追赶发挥了较大作用;中国粮食生产效率下降的地区大都分布在秦岭—淮河以南以及边疆地区,且导致各地区粮食生产效率下降的原因有所差异,粮食主产区主要受制于技术退步,粮食主销区主要受制于技术效率低下,产销平衡区主要受制于自身技术水平与共同前沿越来越大的差距。

拇指桡背侧皮瓣联合示指背皮瓣修复拇指末节缺损25例

目的探讨拇指桡背侧皮瓣联合示指背皮瓣修复拇指缺损伤的方法及疗效。方法对天津二七二医院手足显微外科2018年5月-2022年4月收治的25例拇指末节指体皮肤严重缺损患者采用拇指桡背侧皮瓣联合示指背皮瓣的手术方式进行修复。结果所有皮瓣均成活,成功率100%,术后随访,拇指外形、感觉及活动功能均恢复良好。结论拇指桡背侧皮瓣联合示指背皮瓣的术式实用性较强,可获得较为满意的疗效,为临床拇指末节缺损伤提供了一种新的手术方式。

某关停铅蓄电池企业土壤重金属污染特征及生态风险评价

为探明江苏省某铅蓄电池企业生产6年关停后对该地块土壤是否造成污染,对土壤中Pb、Cu、Zn、Hg、As、Cd、Ni、Cr这8种重金属采样分析,基于主成分分析和径向基函数(RBF)插值法分析地块土壤重金属的污染分布特征。利用单因子指数法和Nemerow综合指数法对污染地块土壤环境质量分析,对于涉及人体健康生态风险评价采用Hakanson潜在生态危害指数法开展综合评价。结果表明:研究区域土壤已遭受明显的人为外源重金属污染,且局部重金属富集程度较高,纵向污染区域主要集中在100cm以上土壤中,区域整体污染程度达到轻度污染,其中危废库局部土壤受污染程度已为中度污染,建议对该单元土壤开展进一步风险评估和修复;研究区域土壤尚不存在潜在生态风险,但是需重点关注危废库构筑物单元的土壤环境质量,主要威胁来自土壤中的镉,其EiCd潜在生态风险指数等级已达到强的级别。建议该地块后续开发利用时不作为农用地使用或进行局部区域土壤修复治理。

Estimation of vegetation biophysical parameters by remote sensing using radial basis function neural network

Hyperspectral reflectance (350~2500 nm) data were recorded at two different sites of rice in two experiment fields including two cultivars, and three levels of nitrogen (N) application. Twenty-five Vegetation Indices (VIs) were used to predict the rice agronomic parameters including Leaf Area Index (LAI, m2 green leaf/m2 soil) and Green Leaf Chlorophyll Density (GLCD, mg chlorophyll/m2 soil) by the traditional regression models and Radial Basis Function Neural Network (RBF). RBF emerged as a variant of Artificial Neural Networks (ANNs) in the late 1980’s. A large variety of training algorithms has been tested for training RBF networks. In this study, Original RBF (ORBF), Gradient Descent RBF (GDRBF), and Generalized Regression Neural Network (GRNN) were employed. Results showed that green waveband Normalized Difference Vegetation Index (NDVIgreen) and TCARI/OSAVI have the best prediction power for LAI by exponent model and ORBF respectively, and that TCARI/OSAVI has the best prediction power for GLCD by exponent model and GDRBF. The best performances of RBF are compared with the traditional models, showing that the relationship between VIs and agronomic variables are further improved when RBF is used. Compared with the best traditional models, ORBF using TCARI/OSAVI improves the prediction power for LAI by lowering the Root Mean Square Error (RMSE) for 0.1119, and GDRBF using TCARI/OSAVI improves the prediction power for GLCD by lowering the RMSE for 26.7853. It is concluded that RBF provides a useful exploratory and predictive tool when applied to the sensitive VIs.

Uniqueness of Positive Radial Solutions for a Class of Semipositone Systems on the Exterior of a Ball

In this paper, we study the positive radial solutions for elliptic systems to the nonlinear BVP: , where Δu = div (∇u) and Δv = div (∇v) are the Laplacian of u, λ is a positive parameter, Ω = {x ∈ Rn : N > 2, |x| > r0, r0 > 0}, let i = [1,2] then Ki :[r0,∞] → (0,∞) is a continuous function such that limr→∞ ki(r) = 0 and is The external natural derivative, and : [0, ∞) → (0, ∞) is a continuous function. We discuss existence and multiplicity results for classes of f with a) fi > 0, b) fi < 0, and c) fi = 0. We base our presence and multiple outcomes via the Sub-solutions method. We also discuss some unique findings.

基于无人机多光谱遥感的芳樟矮林SPAD反演

为实现利用多光谱技术开展芳樟叶绿素相对含量(SPAD)监测,及时快速诊断芳樟矮林生长状况,为田间管理决策提供信息支持,以红壤区芳樟矮林为研究对象,利用无人机多光谱遥感影像,提取波段反射率,筛选植被指数,分别以波段反射率和植被指数为模型输入量,采用偏最小二乘回归、支持向量回归、反向传播(Back propagation,BP)神经网络和径向基函数(Radial basis function,RBF)神经网络4种方法构建芳樟矮林SPAD反演模型,并对比不同输入量、不同模型模拟结果的反演精度。研究结果表明:对比两种不同的输入量,在同一模型反演的精度相差不大;其中,基于偏最小二乘回归法,以植被指数为模型自变量估测芳樟矮林SPAD效果略优;基于支持向量回归、BP神经网络和RBF神经网络,以波段反射率为模型自变量估测芳樟矮林SPAD效果略优;对比4种建模方法,不同方法建模预测精度不同,与偏最小二乘回归、支持向量回归和BP神经网络相比,基于RBF神经网络反演芳樟SPAD的精度最高,以波段反射率和植被指数为模型输入量的测试集为例,其决定系数R^(2)分别为0.788、0.751,均方根误差(RMSE)分别为1.838、2.457,表明RBF神经网络在芳樟矮林SPAD预测过程中具有明显优势。

Optimum Simultaneous Allocation of Renewable Energy DG and Capacitor Banks in Radial Distribution Network

Nowadays the optimal allocation of distributed generation (DG) in the distribution network becomes the popular research area in restructuring of power system. The capacitor banks introduced in the distribution networks for reactive power compensation also have the capacity to minimize the real and reactive power losses occurred in the system. Hence, this research integrates the allocation of renewable energy DG and capacitor banks in the radial distribution network to minimize the real power loss occurred in the system. A two-stage methodology is used for simultaneous allocation of renewable DG and capacitor banks. The optimum location of renewable energy DG and capacitor banks is determined using the distributed generation sitting index (DGSI) ranking method and the optimum sizing of DG and capacitor banks is found out for simultaneous placement using weight improved particle swarm optimization algorithm (WIPSO) and self adaptive differential evolution algorithm (SADE). This two-stage methodology reduces the burden of SADE and WIPSO algorithm, by using the DGSI index in determining the optimal location. Hence the computational time gets reduced which makes them suitable for online applications. By using the above methodology, a comprehensive performance analysis is done on IEEE 33 bus and 69 bus RDNs and the results are discussed in detail.

基于FY-3D/MERSI数据的东北地区干旱监测方法研究

干旱是影响东北地区粮食安全的主要农业气象灾害之一,遥感技术是一种可便捷进行大范围干旱监测的手段。针对目前遥感干旱指数在作物生长发育过程中监测干旱的局限性和适用性等问题,以东北地区玉米和大豆等主要大田作物发育期为切入点,基于FY-3D/MERSI卫星遥感数据和地面土壤相对湿度实测数据,开展不同作物发育阶段干旱监测指数适用性分析,结合径向基神经网络方法,构建全时期和分时期土壤相对湿度反演模型,利用实测土壤相对湿度数据开展精度验证与对比分析。结果表明:风云三号MERSI传感器数据在干旱监测中具有可行性,表观热惯量(ATI)在低植被覆盖或裸土时效果较好,适用于作物冻土期、裸土期和播种~拔节期;水分指数(WI)适用于播种~拔节期、拔节~抽雄期和成熟期等植被生长时期;分时期土壤相对湿度反演模型精度高于全时期土壤相对湿度反演模型,前者监测精度在80.0%以上,比全时期模型精度提高了10%~25%,尤其在冻土期(3月),分时期模型反演精度达到了92.6%。基于作物生长时期和形态差异,选择最适宜遥感干旱指数建立分时期土壤相对湿度反演模型,提高了干旱监测的准确性和可靠性。

基于IAHP-IRMO法的既有路基挡土墙评估指标权重确定

在既有路基挡土墙安全评估中,评估指标权重的确定非常重要。目前,挡土墙评估指标权重的确定大多采用确定型的层次分析法,忽略了评估指标不确定性和模糊性的影响。为了准确反映评估指标权重的不确定性和模糊性,通过分析评估指标权重计算方法,采用区间层次分析法(IAHP)构造区间数判断矩阵来确定既有路基挡土墙评估指标的权重。针对区间数判断矩阵中求解权重方法的不足,引入相离度的概念,建立单目标优化模型。将模型中的目标函数作为适应度函数,运用改进径向移动算法(IRMO)进行全局优化搜索,并对IRMO算法中的惯性权重递减模型wk进行改进。采用的曲线递减模型能提高全局优化搜索能力,从而获得评估指标的最优权重。对2个不同算例与其他方法进行对比分析,并结合工程实例进行验证计算。结果表明:IRMO算法运用于区间数判断矩阵权重优化搜索具有稳定性和高效性,能够有效减小不确定性带来的影响,搜索速度快、收敛效率高、搜索结果更为稳定、客观、合理。IAHP−IRMO法应用于既有路基挡土墙评估指标权重计算方面具有可行性、有效性与准确性。工程实例得出的安全评估结果与现场实际情况较为符合,该方法能够广泛应用于铁路、公路等既有路基挡土墙的安全评估指标权重确定,为挡土墙安全评估提供依据。

基于径向基函数的电网不平衡线损预测方法

电网线损预测关系到电力公司发电工作计划的制定和实施。当前线损预测方法更适用于长期预测,在三相不平衡产生的线损预测应用中误差较大。针对上述问题,提出一种基于径向基函数的电网不平衡线损预测方法,该研究中通过DEMATEL选出电网不平衡线损影响指标,通过均方根电流法计算电网不平衡线损;将径向基函数作为输入(线损影响指标)和输出(电网不平衡线损)之间的“桥梁”,建立二者之间的映射关系模型,实现电网不平衡线损预测。结果表明,与基于LSSVM的预测方法、基于双模调频分解的预测方法、基于K-means线性回归的预测方法相比,应用所研究预测方法,EA值(0.1526×10^(4)kVar·h)和EC值(1.6358×10^(4)kVar·h)更低,说明所研究预测方法的准确性更高。

基于RBF神经网络的BDS接收机作战效能评估

针对传统作战效能评估方法存在主观性强,依赖专家经验等问题,提出一种基于径向基函数(RBF)神经网络的北斗卫星导航系统(BDS)接收机作战效能评估方法:梳理BDS接收机作战效能评估需求,并构建BDS接收机作战效能评估指标体系;然后对网络基础原理、学习算法和评估流程进行研究。实验结果表明,提出的方法能够有效完成BDS用户机的作战效能评估,虽然RBF神经网络在收敛速度上比反向传播(BP)神经网络要慢5.52倍,但是损失函数和准确率相比BP神经网络分别提升了65.7%和8%,而且与传统的装备作战效能评估算法相比,评估结论更加客观,具有一定实用性。

发散式体外冲击波联合抗阻运动治疗老年原发性肌肉减少症

背景:老年原发性肌肉减少症有多种治疗手段,但均因其局限性而在临床推广受限,寻找安全、患者依从性好的治疗手段很有必要。目的:探索发散式体外冲击波疗法联合抗阻运动对老年原发性肌肉减少症的临床疗效。方法:收集2021年2-8月于锦州医科大学附属第一医院就诊的40例老年原发性肌肉减少症患者,通过计算机随机数字表法分为对照组、治疗组,每组20例。两组均采用抗阻运动,治疗组在抗阻运动基础上增加发散式体外冲击波治疗,记录两组患者治疗前及治疗4,8周后的四肢骨骼肌质量指数、步行速度、伸膝肌力、大腿周径、血清胰岛素生长因子1质量浓度,并对数据进行统计分析。结果与结论:①对照组的骨骼肌质量指数、步行速度、伸膝肌力、大腿周径、血清胰岛素生长因子1质量浓度等指标在不同时间点差异均有显著性意义(P<0.05);②治疗组的骨骼肌质量指数、步行速度、伸膝肌力、大腿周径、血清胰岛素生长因子1浓度等指标在不同时间点差异均有显著性意义(P<0.05);③治疗4,8周后,治疗组的伸膝肌力、血清胰岛素生长因子1质量浓度的改善程度均优于对照组(P<0.05);④治疗8周后,治疗组大腿周径的改善程度优于对照组(P<0.05);⑤提示与抗阻训练相比,发散式体外冲击波结合抗阻训练更能促进肌肉质量与功能的恢复,延缓老年原发性肌肉减少症的发生与发展。

灌注指数指导下肝切除术后患者桡动脉二次止血效果研究

目的 分析灌注指数(perfusion index,PI)指导下肝切除术后患者桡动脉二次止血效果。方法 选取2022年1—6月南昌大学第二附属医院收治的180例行择期肝叶切除术的患者,采用随机数字表法分为常规组与研究组,各90例。常规组术后采用常规按压止血法,研究组术后在PI值指导下进行压迫止血,观察2组患者止血效果。结果 压迫止血后研究组血肿发生率低于常规组(P<0.05);压迫止血过程中研究组疼痛发生率较常规组低(P<0.05);压迫止血后,2组患者经皮血氧饱和度(saturation of peripheral oxygen,Sp O_(2))、平均动脉压(mean arterial pressure,MAP)及心率(heart rate,HR)水平均较压迫止血前升高,且研究组Sp O_(2)、MAP及HR水平均高于常规组(P<0.05);压迫止血后,研究组PI值小于常规组(P<0.05);研究组术后住院时间比常规组短,且总医疗费用比常规组低(P<0.05)。结论 予以肝切除术后患者PI值指导下桡动脉二次压迫止血,止血效果确切,可缓解患者疼痛,对患者生命体征及PI值的改善有积极意义,并可缩短住院时间、减少医疗费用。

补肾活血汤联合桡动脉茎突返支骨瓣转位对陈旧性手舟骨骨折患者临床影响研究

目的:分析补肾活血汤联合桡动脉茎突返支骨瓣转位对陈旧性手舟骨骨折患者疗效影响。方法:选取2016年9月~2020年9月防城港市中医医院收治的陈旧性手舟骨骨折患者96例,随机数字表法分成两组,对照组(48例)行桡动脉茎突返支骨瓣转位术,观察组(48例)术后加服补肾活血汤,观察患者术后腕关节功能恢复情况及血清炎性因子、骨代谢指标改变状况。结果:观察组患者优良率为95.83%,高于对照组的85.42%,差异有统计学意义(P<0.05);两组患者腕关节评分较治疗前均显著上升,且观察组高于对照组,观察组骨折愈合时间低于对照组,差异均有统计学意义(P<0.05);术后1月观察组患者血清肿瘤坏死因子-α(TNF-α)、高迁移率族蛋白B1(HMGB1)及白细胞介素-6(IL-6)含量较术后1天、对照组显著降低,差异均有统计学意义(P<0.05);术后1月观察组患者血清总骨Ⅰ型前胶原氨基端延长肽(Total-PINP)、Ⅰ型胶原羧基端肽β特殊序列(β-CTX)含量较术后1天、对照组显著下降,骨钙素(BGP)、Ⅰ型胶原羧基端肽(PICP)含量较术后1天、对照组显著上升,差异均有统计学意义(P<0.05)。结论:补肾活血汤联合桡动脉茎突返支骨瓣转位可明显改善陈旧性手舟骨骨折患者腕关节活动功能,促进患肢更快愈合。