经验小波变换和改进S变换结合的电能质量检测与识别方法

为分析不确定干扰因素影响下的实际电力网络电能质量问题,提出一种经验小波变换(EWT)和改进S变换相结合的电能质量检测与识别方法。该方法一方面利用EWT联合归一化直接正交(NDQ)算法和奇异值分解(SVD)算法准确提取调幅-调频分量的频率、幅值和时间参数,另一方面考虑到EWT算法在高噪声环境下瞬时幅值波动的问题,引入改进S变换提取高噪声干扰下的电能质量扰动时频信息,最后,基于EWT和改进S变换提取的扰动特征向量,利用基于改进粒子群优化算法(IPSO)优化支持向量机(SVM)的电能质量扰动识别分类器实现扰动类型的精确识别。仿真和实验表明所提方法在复合扰动识别分类时平均识别准确率为93.23%,且能够准确识别4种实测扰动信号。

基于D-S证据理论的配电网接地故障原因综合辨识模型

单相接地故障(single-phase-to-ground fault,SPGF)是配电网中最常见的故障,严重影响配电系统的可靠性和安全性,准确辨识SPGF可以提高配电网接地故障处理的精细化水平。首先,从故障波形中提取能有效反映不同接地故障原因的多域特征组成候选波形特征集,通过多元方差法分析波形特征与接地故障原因的相关性,筛选识别接地故障原因的有效特征;然后,分别设计基于极限学习机和支持向量机的故障原因辨识模型,利用Dempster-Shafer(D-S)证据融合理论对模型的识别结果进行融合,建立了接地故障原因综合辨识模型;最后,基于现场数据对所建立的综合辨识模型的有效性进行了验证,结果表明综合辨识模型优于任何单一辨识模型,验证了该模型的优势和可行性。

From the Voices in the Narratives of After-School Support Advisors: Support for Children’s After-School Support Advisors in Japan

This paper examines how advisors perceive the voices made by Mr.A(pseudonym),the founder of after-school support for children(Initiative Z:pseudonym)in Japan,to advisors who support children.Furthermore,the purpose of this study is to find out how advisors think about the voices and that the voices have led or not advisors to support children,if to do so,what points are key to continuing support for children.Therefore,in Initiative Z,I conducted a survey of two advisors who were approached by Mr.A,who is involved in supporting children as an advisor.As a result of analyzing the narratives obtained from interviews with the two advisors,it was found that the advisor had a sense of being recognized by Mr.A because Mr.A acknowledged the advisor’s way of life.This feeling on the part of the advisor led to trust in Mr.A,and the advisor was in tune with Mr.A’s thoughts on after-school support,suggesting that the advisor was providing support to the child.

赋s范数Orlicz函数空间的光滑点

光滑点是巴拿赫空间几何理论中的重要概念,在估计理论,概率论等领域有重要应用。本文中,首先用凸模引入赋s-范数Orlicz空间对偶空间范数,然后讨论对偶范数的范数可达性,在此基础上给出赋s-范数Or-licz空间的支撑泛函的显式形式,最后给出赋s-范数Orlicz空间光滑点的判据。

Habits on Social Networks at Workplace: A Survey of Motivations and Behaviour

This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. More than five hundred and fifty questionnaires were distributed, highlighting workers’ preferred digital channels and platforms. The results indicate that the majority use social media through their mobile phones, with WhatsApp being the most popular app, followed by Facebook and LinkedIn. The study reveals that workers use social media for entertainment purposes and to develop professional and social relationships, with 55% unable to live without social media at work for recreational activities. In addition, 35% spend on average 1 to 2 hours on social networks, mainly between 12 p.m. and 2 p.m. It also appears that 46% believe that social networks moderately improve their productivity. These findings can guide marketing strategies, training, technology development and government policies related to the use of social media in the workplace.

基于ISVM-DS的红外多传感器融合识别方法

弹道中段目标为一个目标群,包括弹头、诱饵、碎片等,并且由于距离传感器较远,红外成像为点目标,可用信息较少,因此单一的红外传感器往往难以满足识别要求,需要融合多个传感器进行识别。针对红外多传感器的融合识别问题,本文提出了基于增量支持向量机和D-S(increment support vector machine-Dempster-Shafer,ISVM-DS)证据理论的融合识别方法。首先,训练多个波段传感器红外特征的支持向量数据描述(support vector data description,SVDD)模型,生成壳向量并训练其ISVM模型;接着,采用ISVM模型的后验概率生成基本概率赋值(basic probability assignment,BPA);最后,利用D-S证据理论对多个证据的BPA进行融合,输出分类结果。实验结果表明,该方法能有效提高目标识别的准确性。

Co_(9)S_(8)/Cu_(2)S/CF纳米阵列的制备及其电化学析氢性能

过渡金属硫属化合物因其组成、结构和功能的特殊性,在电解水析氢高效电催化剂制备领域受到广泛关注。采用溶剂热法在泡沫铜基底上制备出Co_(9)S_(8)/Cu_(2)S/CF纳米复合材料。借助X射线衍射(XRD)、扫描电镜(SEM)以及透射电镜(TEM)等分析手段对材料进行详细表征并探究其电解水析氢性能。在0.5 mol/L H_(2)SO_(4)溶液、磷酸盐缓冲溶液(PBS)和1 mol/L KOH溶液中,只需要82 mV、117 mV和153 mV过电位就可以达到10 mA·cm^(-2)。此外,该催化剂在历经多次电化学析氢反应后,其过电位值无明显变化,具有优异的电化学稳定性。相较于单一Cu_(2)S与Co_(9)S_(8)材料,复合催化剂Co_(9)S_(8)/Cu_(2)S在催化活性上有较大程度提高。

基于IGWO算法优化LSSVM的电能质量扰动识别方法

为了提高电能质量扰动(power quality disturbance,PQD)识别结果的准确性,笔者提出一种基于改进灰狼优化算法(improved grey wolf optimization,IGWO)优化最小二乘支持向量机(least squares support vector machine,LSSVM)的PQD识别方法。通过采用收敛因数指数调整、自适应位移和权重动态修订等措施对灰狼优化算法进行改进,得到IGWO算法;以PQD信号的9个特征量为支持向量、7种PQD类型为输出量,利用IGWO算法寻找LSSVM的最优参数,建立基于IGWO-LSSVM的PQD识别模型并进行仿真分析,且与其他模型的识别结果进行对比。结果表明,相比算例中列出的几种对比模型,IGWO-LSSVM模型识别结果的正确率更高,验证了所提PQD识别方法的有效性和实用性。

TECA hybrid artificial liver support system in treatment of acute liver failure

AIM: To assess the efficacy and safety of TECA type hybrid artificial liver support system (TECA-HALSS) in providing liver function of detoxification, metabolism and physiology by treating the patients with acute liver failure (ALF). METHODS: The porcine liver cells (1-2) x 10(10) were separated from the Chinese small swine and cultured in the bioreactor of TECA-BALSS at 37.0 degrees C and circulated through the outer space of the hollow fiber tubes in BALSS. The six liver failure patients with various degree of hepatic coma were treated by TECA-HALSS and with conventional medicines. The venous plasma of the patients was separated by a plasma separator and treated by charcoal adsorbent or plasma exchange. The plasma circulated through the inner space of the hollow fiber tubes of BALSS and mixed with the patients' blood cells and flew back to their blood circulation. Some small molecular weight substances were exchanged between the plasma and porcine liver cells. Each treatment lasted 6.0-7.0 h. Physiological and biochemical parameters were measured before,during and after the treatment. RESULTS: The average of porcine liver cells was (1.0-3.0) x 10(10) obtained from each swine liver using our modified enzymatic digestion method. The survival rate of the cells was 85%-93% by trypan blue stain and AO/PI fluorescent stain. After cultured in TECA-BALSS bioreactor for 6 h, the survival rate of cells still remained 70%-85%. At the end of TECA-HALSS treatment, the levels of plasma NH(3), ALT, TB and DB were significantly decreased. The patients who were in the state of drowsiness or coma before the treatment improved their appetite significantly and regained consciousness, some patients resumed light physical work on a short period after the treatment.One to two days after the treatment, the ratio of PTA increased warkedly. During the treatment, the heart rates, blood pressure, respiration condition and serum electrolytes (K(+), Na(+) and Cl(-)) were stable without thrombosis and bleeding in all the six patients. CONCLUSION: TECA-HALSS treatment could be a rapid, safe and efficacious method to provide temporary liver support for patients with ALF.

Liver transplantation and artificial liver support in fulminant hepatic failure

INTRODUCTIONFulminant hepatic failure(FHF)is a severe disease with devastating consequences;the incidence is high in China.Before the availability of liver transplantation,the mortality rate was more than 80%[1,2].The advent of liver transplantation revolutionized the outcome of FHF[3,4].However,many patients were unwilling to accept liver transplantation until very late,hence most of them died because of donor shortage and urgency of the disease[5-7],To overcome he problems,we performed orthotopic liver transplantation(OLT)in combination with artificial liver support(ALS) in the treatment of FHF in the past 2 years with satisfactory results.Our experience was reported below.

Dynamics Modeling and Numerical Analysis of Rotor with Elastic Support/Dry Friction Dampers

The elastic support/dry friction damper is a type of damper which is used for active vibration control in a rotor system.To establish the analytical model of this type of damper,a two-dimensional friction model-ball/plate model was proposed.By using this ball/plate model,a dynamics model of rotor with elastic support/dry friction dampers was established and experimentally verified.Moreover,the damping performance of the elastic support/dry friction damper was studied numerically with respect to some variable parameters.The numerical study shows that the damping performance of the elastic support/dry friction damper is closely related to the stiffness distribution of the rotor-support system,the damper location,the pressing force between the moving and stationary disk,the friction coefficient,the tangential contact stiffness of the contact interface,and the stiffness of the stationary disk.In general,the damper should be located on an elastic support which has a large vibration amplitude in order to achieve a better damping performance,and the more vibration energy in this elastic support concentrates,the better performance of the damper will be.The larger the tangential contact stiffness of the contact interface,and the stiffness of the stationary disk are,the better performance of the damper will be.There will be an optimal value of the friction force at which the damper performs best.

Planning a Patient-Centered Parkinson’s Disease Support Program: Insights from Narrative Medicine

Background: We desired relevant information from patients with Parkinson’s disease (PD) and their caregivers for help in planning a long-term support program. Methods: We compared 3 ap-proaches: 1) a standard needs assessment questionnaire, the Camberwell assessment of need in the elderly, 2) an open-ended listing of needs, and 3) participation in a narrative medicine program in which health care professionals were involved. Results: On the questionnaire, patients reported physical needs as the most important while their caregivers were more concerned about psychological needs. The open-ended listings revealed additional needs, particularly access to re-liable information about PD and to opportunities to participate in clinical research. The narrative medicine process yielded a number of new insights and proposed solutions, particularly related to the heterogeneity of needs across individuals, the importance of providing hope, and the fact that caregivers expressed that their needs had been largely neglected. Participation in the narrative medicine sessions led to an increase in measured empathy by health care professionals, an im-provement in measured depression among PD patients, but a worsening of measured depression among the caregivers. Conclusions: We have identified important needs and potential solutions to be considered in providing long-term support to patients with PD and their caregivers.

Speech Analysis for Diagnosis of Parkinson’s Disease Using Genetic Algorithm and Support Vector Machine

Parkinson’s disease (PD) is the most common disease of motor system degeneration that occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD, various signals have been investigated, including EEG, gait and speech. Since approximately 90 percent of the people with PD suffer from speech disorders, speech analysis is considered as the most common technique for this aim. This paper proposes a new algorithm for diagnosing of Parkinson’s disease based on voice analysis. In the first step, genetic algorithm (GA) is undertaken for selecting optimized features from all extracted features. Afterwards a network based on support vector machine (SVM) is used for classification between healthy and people with Parkinson. The dataset of this research is composed of a range of biomedical voice signals from 31 people, 23 with Parkinson’s disease and 8 healthy people. The subjects were asked to pronounce letter “A” for 3 seconds. 22 linear and non-linear features were extracted from the signals that 14 features were based on F0 (fundamental frequency or pitch), jitter, shimmer and noise to harmonics ratio, which are main factors in voice signal. Because changing in these factors is noticeable for the people with PD, optimized features were selected among them. Of the various numbers of optimized features, the data classification was investigated. Results show that the classification accuracy percent of 94.50 per 4 optimized features, the accuracy percent of 93.66 per 7 optimized features and the accuracy percent of 94.22 per 9 optimized features, could be achieved. It can be observed that the best classification accuracy may be achieved using Fhi (Hz), Fho (Hz), jitter (RAP) and shimmer (APQ5).

社会组织参与困境儿童社会支持网络构建的服务策略研究--以广州市S组织困境儿童服务项目为例

要妥善回应深化改革过程中困境儿童多元化的需求,须从困境儿童社会支持着手,通过发挥社会组织联动多元主体的作用来筑实困境儿童社会支持网络。研究聚焦S组织困境儿童服务实践策略,分析其回应需求的服务过程,旨在为社会组织参与构建困境儿童支持网络提供实务参考。研究发现,S组织在开展困境儿童服务时能够充分发挥枢纽平台优势,在一定程度上促进了儿童主体发展和多元主体参与,但组织存在建设局限性、服务内容与形式创新不足、服务不够规范、机制缺失等方面的问题。推动儿童福利事业发展的关键在于要坚持政府主导的公共服务供给格局,拓宽社会参与渠道和门槛,整合跨界创新力量,动员多元主体在困境儿童服务中积极投入服务和资源,强化其社会支持网络。

Agricultural policy reforms and WTO commitments on domestic support in Japan

The purpose of this paper is to provide a comprehensive review of Japan＇s agricultural domestic policy since 1995 in the context of the current international negotiations in the WTO Doha Round, which has as one aim further reductions of trade-distorting support among member countries. Apparently, Japan＇s attitude towards agricultural domestic policy reform is one of compliance with the WTO, which requests member countries to reduce their Aggregate Measure of Support （AMS） through trimming trade-distorting （amber box） support and/or transforming traditional-type agricultural subsidies to decoupled-type ones. Japan reduced its amber box support by nearly 80 percent between 1995 and 2000. This drastic reduction is mainly attributable to Japan＇s removal of rice from the amber box in 1998. In addition, following the WTO＇s principle of decoupling, Japan launched an extensive agricultural subsidy reform in 2007. This paper, however, shows the ironical realities of Japanese agricultural policy. Neither a sharp reduction of amber box support nor Japan＇s 2007 reform necessarily means there will be a reduction of trade-distorting effects. On the contrary, the 2007 reform may in fact stimulate domestic rice production.

A SERENDIPITY FAMILY 0F LOCALLY SUPPORTED SPLINES IN S_8~2(△)

For a given triangulation Δ of a region R of interest, let S_8~2(Δ): = {s∈C^2(R): s|_1∈P_8,l∈Δ} be the space of all splines of degree 8 and smoothness 2, where t denotes any triangle of Δ and P_8 the space of polynomials of total degree≤8. Furthermore, let S_8~2(Δ):={s∈S_8~3(Δ):s∈C^3 at v, v∈Δ} be a super spline subspace of S_8~2(Δ). We construel a collection of locally supported splines in S_8~2(Δ) which can be used to achieve lhe full approximation order of S_8~2(Δ) and its cardinalily is less than the di- mension of super spline space space S_8~2(Δ).

基于S变换和IWOA-SVM的复合电能质量扰动识别

针对目前复合电能质量扰动(PQD)信号特征冗余,分类识别准确率低的问题,提出了一种基于S变换和改进鲸鱼算法支持向量机(IWOA-SVM)的复合电能质量扰动识别方法。首先,利用S变换对7种单一电能质量扰动和生成的13种复合扰动信号进行时频分析,使复杂扰动信号的特征得以凸显。设计特征提取方法,从实频矩阵中尽可能地获取便于分类的信号特征信息;其次,引入自适应权重因子和随机差分变异策略对WOA进行优化,提升其搜索能力;最后建立IWOA-SVM分类预测模型,优化SVM高斯核函数参数,以获得更好的鲁棒性和泛化能力,对提取的特征样本进行自动分类和识别。实验结果表明,所提方法分类识别准确率高,能有效识别多种复合PQD信号,有助于评估与治理电能质量问题。

Gene therapy for Parkinson's disease: a decade of progress supported by posthumous contributions from volunteer subjects

Over the past decade,nine separate gene therapy clinical trials for advanced Parkinson’s disease（PD）have been launched and completed,involving the dosing of nearly 12-dozen PD volunteers who incurred significant risks to hopefully reduce symptoms and gain a better life.

Classification of the Priority of Auditing XBRL Instance Documents with Fuzzy Support Vector Machines Algorithm

Concluding the conformity of XBRL(eXtensible Business Reporting Language)instance documents law to the Benford's law yields different results before and after a company's financial distress.A new idea of applying the machine learning technique to redefine the way conventional auditors work is therefore proposed since the unacceptable conformity implies a large likelihood of a fraudulent document.Fuzzy support vector machines models are developed to implement such an idea.The dependent variable is a fuzzy variable quantifying the conformity of an XBRL instance document to the Benford's law;whereas,independent variables are financial ratios.The interval factor method is introduced to express the fuzziness in input data.It is found the range of a fuzzy support vector machines model is controlled by maximum and minimum dependent and independent variables.Therefore,defining any member function to describe the fuzziness in input data is unnecessary.The results of this study indicate that the price-to-book ratio versus equity ratio is suitable to classify the priority of auditing XBRL instance documents with the less than 30%misclassification rate.In conclusion,the machine learning technique may be used to redefine the way conventional auditors work.This study provides the main evidence of applying a future project of training smart auditors.