路特斯EMEYA繁花

售价:66.80万~118.00万元感受900多匹马力的激情EMEYA运用路特斯的全800V EPA纯电高性能架构,搭载行业顶级的永磁同步双电机及两速变速器,零百加速仅需2.78 s。车内搭载KEF音响的扬声器,10分区智能天幕,用户可随心调节明暗。CLTC工况下,充电5 min可增加180 km续航里程。还搭载34个感知硬件,包括行业顶配的4颗激光雷达。空气动力学上沿袭了EVIJA的孔隙式设计语言,从主动进气格栅、悬浮式双层尾翼、主动气坝到主动后扩散器,四项主动空气套件加持,令EMEYA繁花能够贴地飞行。还搭配6D智能底盘,凭借路特斯独特的底盘调校技术,EMEYA繁花兼具灵活性和稳定性。

Fast measurement and prediction method for electromagnetic susceptibility of receiver

Aiming at evaluating and predicting rapidly and accurately a high sensitivity receiver’s adaptability in complex electromagnetic environments,a novel testing and prediction method based on dual-channel multi-frequency is proposed to improve the traditional two-tone test.Firstly,two signal generators are used to generate signals at the radio frequency(RF)by frequency scanning,and then a rapid measurement at the intermediate frequency(IF)output port is carried out to obtain a huge amount of sample data for the subsequent analysis.Secondly,the IF output response data are modeled and analyzed to construct the linear and nonlinear response constraint equations in the frequency domain and prediction models in the power domain,which provide the theoretical criteria for interpreting and predicting electromagnetic susceptibility(EMS)of the receiver.An experiment performed on a radar receiver confirms the reliability of the method proposed in this paper.It shows that the interference of each harmonic frequency and each order to the receiver can be identified and predicted with the sensitivity model.Based on this,fast and comprehensive evaluation and prediction of the receiver’s EMS in complex environment can be efficiently realized.

Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems

In the era of an energy revolution,grid decentralization has emerged as a viable solution to meet the increasing global energy demand by incorporating renewables at the distributed level.Microgrids are considered a driving component for accelerating grid decentralization.To optimally utilize the available resources and address potential challenges,there is a need to have an intelligent and reliable energy management system(EMS)for the microgrid.The artificial intelligence field has the potential to address the problems in EMS and can provide resilient,efficient,reliable,and scalable solutions.This paper presents an overview of existing conventional and AI-based techniques for energy management systems in microgrids.We analyze EMS methods for centralized,decentralized,and distributed microgrids separately.Then,we summarize machine learning techniques such as ANNs,federated learning,LSTMs,RNNs,and reinforcement learning for EMS objectives such as economic dispatch,optimal power flow,and scheduling.With the incorporation of AI,microgrids can achieve greater performance efficiency and more reliability for managing a large number of energy resources.However,challenges such as data privacy,security,scalability,explainability,etc.,need to be addressed.To conclude,the authors state the possible future research directions to explore AI-based EMS's potential in real-world applications.

Integration of Individualized Management Systems （MSs） as an Aggregating Factor of Sustainable Value for Organizations An Overview Through a Review of the Literature

Nowadays, there exist various standards for individual management systems （MSs）, at least, one for each stakeholder. New ones will be published. An integrated management system （IMS） aims to integrate some or all components of the business into one coherent and efficient MS. Maximizing integration is more and more a strategic priority in that it constitutes an opportunity to eliminate and/or reduce potential factors of destruction of value for the organizations and also to be more competitive and consequently promote its sustainable success. A preliminary investigation was conducted on a Portuguese industrial company which, over the years, has been adopting gradually, in whole or in part, individualized management system standards （MSSs）. A research, through a questionnaire, was performed with the objective to develop, in a real business environment, an adequate and efficient IMS-QES （quality, environment, and safety） model and to potentiate for the future a generic IMS model to integrate other MSSs. The strategy and research methods have taken into consideration the case study. It was obtained a set of relevant conclusions resulting from the statistical analyses of the responses to the survey. Globally, the investigation results, by themselves, justified and prioritized the conception of a model of development of the IMS-QES and consequent definition and validation of a structure of an IMS-QES model, to be implemented at the small- and medium-sized enterprise （SME） where the investigation was conducted.

Energy Management of Networked Smart Railway Stations Considering Regenerative Braking, Energy Storage System, and Photovoltaic Units

The networking of microgrids has received significant attention in the form of a smart grid.In this paper,a set of smart railway stations,which is assumed as microgrids,is connected together.It has been tried to manage the energy exchanged between the networked microgrids to reduce received energy from the utility grid.Also,the operational costs of stations under various conditions decrease by applying the proposed method.The smart railway stations are studied in the presence of photovoltaic(PV)units,energy storage systems(ESSs),and regenerative braking strategies.Studying regenerative braking is one of the essential contributions.Moreover,the stochastic behaviors of the ESS’s initial state of energy and the uncertainty of PV power generation are taken into account through a scenario-based method.The networked microgrid scheme of railway stations(based on coordinated operation and scheduling)and independent operation of railway stations are studied.The proposed method is applied to realistic case studies,including three stations of Line 3 of Tehran Urban and Suburban Railway Operation Company(TUSROC).The rolling stock is simulated in the MATLAB environment.Thus,the coordinated operation of networked microgrids and independent operation of railway stations are optimized in the GAMS environment utilizing mixed-integer linear programming(MILP).

德国高仪带来全新梦幻黑设计 骊住全球设计EMENA负责人Patrick Speck访谈

如今,黑色系正成为浴室设计的主流趋势。但为何黑色如此受欢迎?骊住全球设计EMENA负责人Patrick Speck分享了对这一趋势的看法,同时,就如何在浴室设计中融入黑色元素给出了具体建议。id+c:黑色是室内设计的流行色之一,现在也常见于浴室的设计中。为何黑色能成为流行趋势?Patrick Speck:黑色在时尚、艺术和室内设计中始终扮演着重要的角色。

Artificial Neural Network-Based Development of an Efficient Energy Management Strategy for Office Building

In the current context,a smart grid has replaced the conventional grid through intelligent energy management,integration of renewable energy sources(RES)and two-way communication infrastructures from power gen-eration to distribution.Energy management from the distribution side is a critical problem for balancing load demand.A unique energy manage-ment strategy(EMS)is being developed for office building equipment.That includes renewable energy integration,automation,and control based on the Artificial Neural Network(ANN)system using Matlab Simulink.This strategy reduces electric power consumption and balances the load demand of the traditional grid.This strategy is developed by taking inputs from an office building electricity consumption behavior study,a power generation study of a solar photovoltaic system,and the supply pattern of a grid in peak and non-peak hours.All this is done in consideration of the Indian scenario,where real-time data of month-wise ANN-based intelligent switching has been established for intermittent renewable sources and peak load reduction,as well as average load reduction,has been demonstrated along with the power control loop without the battery system.

EME国际项目债券市场的回顾

文章首先介绍了EME国际项目债券的基本知识、兴起背景与国别发展状况,然后从契约条款、信用价差的决定因素等方面总结了它的契约特性,最后分析了我国国际项目债券的发展状况。

子宫内膜癌中EME1基因表达及潜在机制的生物信息学分析

目的通过生物信息方法探索子宫内膜癌中减数分裂结构特异性核酸内切酶1(EME1)基因的表达及作用机制。方法利用多个数据库分析子宫内膜癌中EME1的表达及预后;利用蛋白质互作网络寻找EME1关联基因;通过分析启动子甲基化水平、基因拷贝数变异、潜在转录因子探索EME1在子宫内膜癌中的潜在作用机制。结果EME1在子宫内膜癌中高表达,与患者总生存率、无复发生存率相关。BRCA1、TOP3A、RAD51、SLX4、ERCC4、MUS81、EXO1、RMI1、RMI2、BLM等10个编码基因与EME1关系密切,涉及霍利迪连接体、DNA修复、范可尼贫血途径等。ESR1蛋白可能是EME1潜在转录因子,与EME1启动子存在潜在结合位点。结论EME1可能在子宫内膜癌中起重要作用,10个编码基因和1个潜在转录因子可能涉及到EME1的具体作用机制。这些可能为未来子宫内膜癌患者的精准治疗提供研究基础。

EME辅助联立方程组法在多组分分析中的应用

本研究根据求解线性方程组的 Cramer 法则,建立了一种能有效估算多组分同时分析中各组分分析结果最大误差(Estimation of Maximum Error,EME)的方法,利用它可优化各组分各自的最佳测定波长点。因而它可使各种多组分分同时分析方法能在各组分的最佳测定波长点上分析其含量,可得到比较准确的分析结果,提高多组分析方法的潜在性能。在一个三组分混合物的分析中,我们首先应用 EME 选择各组分各自的最佳测定波点,然后在选择的波长点上用联立方程组法(统称为 EME 辅助联立方程组法)分析相应组分的含量,同时应用多元回归法和偏最小二乘法在全波长范围内计算分析其含量,结果表明:不需要校正样品的联立方程组法得到的各组分的平均回收率及相对标准偏差分别为100.00%、100.13%、100.90%和0.76%、0.62%、0.89%,而多元回归法和偏最小二乘法的平均回收率及相对标准偏差分别为99.69%、100.56%、100.10%和3.51%、1.54%、2.57%、100.55%、102.17%、97.36%和1.90%、1.17%、1.92%。统计检验表明:联立方程组法分析得到的三个组分的相对标准偏差均显著小于多元回归法;而氯霉素与尼泊金乙酯的相对标准偏差及平均回收率均显著优于偏最小二乘法。这说明 EME 可提高经典联立方程组的分析性能,因为经典的联立方程组法由于所选波长点少,得到的结果误差一般大于多元回归法及偏最小二乘法。EME 辅助联立方程组法的主要特点有:1.无需预先知道待测体系各组分所含浓度范围;2.不需配制校正样品,使分析程序比较简单。EME 不仅可辅助联立方程组法,也可辅助如 Kalman 滤波法、PLS 等其它多组分分析方法。

宽带EME监测和分析系统的设计与实现

针对特殊环境、特殊装备系统级电磁兼容(EMC)试验的要求,采用数字接收机、高速ADC、数字变频、高速数字信号处理和数字射频存储(DRFM)技术实现对宽带电磁环境(EME)的监测、分析和重现。系统具有扩展性强、集成度高、成本低、运算速度快、移植性好、可靠性高、改进功能方便快捷等优点,可以满足EME测试和电子战通信侦察要求。

The Application of the Emerging Market Score Model in China During the Global Crisis Period： A Countertrend

The global economic crisis that blew up at the end of 2006 in the United States has had extremely negative impacts on the social, political, and economic fields. The countries operating in the most affected macro areas---the United States and Europe---have put through the wringer the domestic trade relationships as well as the international ones, by injecting a chain reaction into the global economic scenario. However, there are countries that seem to be free from the economic and financial contagion overflowing over the past years, as they are moved by an ＂invincible projection toward the growth＂. The present study aims to analyze how much the main emerging market of China has been effectively involved in this vicious circle. More specifically, the study intends to propose an empirical analysis on the real connection between the macroecnnomic data and the strong structure of the Chinese publicly listed companies. This paper investigates the prediction of failure among 3,220 Chinese publicly traded companies （listed companies） during the global crisis period. By analysing the financial accounting data over the past seven years （2008 to 2014）, the emerging market score （EMS） has been adopted in order to investigate the impact of the crisis on financial distress in the main emerging market of China. The results confirm the following hypotheses： On one hand, the great majority of companies have not been suffering the downturn, since 71.93% of the entire samples present no risk of financial distress during the global crisis; on the other hand, only 6.18% have a reasonable risk of financial distress.

EME2高模量沥青混合料性能对比试验研究

目的对EME2沥青混合料的级配设计、性能指标进行对比试验,并提出EME2沥青混合料设计推荐指标及技术要求.方法针对不同沥青混合料设计方法的差异,采用不同沥青混合料设计方法进行筛分试验及级配设计,并对体积指标、水稳定性、高温稳定性、模量性能、疲劳性能、低温性能进行了对比试验.结果对于连续级配中国沥青混合料筛分方法可以代替法国的筛分方法;不同沥青混合料级配设计方法的体积指标有较大的关联性.EME2沥青混合料的水损坏性能可以用冻融劈裂和AASHTOT283试验代替法国多列士试验进行评价;高温抗车辙性能可以采用中国车辙试验(70℃,轮压1.0 MPa)以及汉堡试验进行评价;力学性能可以采用动态模量(温度15℃,频率10 Hz)进行控制以及采用4点弯曲疲劳试验代替法国的两点弯曲试验进行疲劳性能评价;低温性能则可以采用低温弯曲小梁试验进行低温评价.结论EME2沥青混合料具有良好的水稳定性、抗高温抗车辙性能、较高的模量的力学性能、抗疲劳性能,同时满足其低温指标的要求,表明EME2沥青混合料是一种可值得推荐和推广的沥青混合料.

Using proximal sensor data for soil salinity management and mapping

Over the past five decades, increased pressure caused by the rapidly growing population has resulted in a reclamation of agricultural and urban buffer zones along China's coastline. However, information about the spatio–temporal variation of soil salinity in these reclaimed regions is limited. As such, obtaining this information is crucial for mapping the variation in saline areas and to identify suitable salinity management strategies. In this study, we employed EM38 data to conduct digital soil mapping of spatio–temporal variation and map these variations of different site-specific zones. The results indicated that the distribution of soil salinity was heterogeneous in the middle of, and that the leaching of salts was significant at the edges of, the study field. Afterwards, fuzzy-k means algorithm was used to divide the site-specific management zones within the time series apparent soil electrical conductivity(ECa) data and the spatial correlations of variation. We concluded that two management zones are optimal to guide precision management. Zone A had an average salinity level of about 165 mS m–1, in which salt-tolerant crops, such as cotton and barley can grow normally, while crops such as soybean and cowpeas may be planted using leaching and increasing the mulching film methods to reduce the accumulation of salt in surface soil. In Zone B, there was a low salinity level with a mean of 89 mS m–1 for ECa, which allows for rice, wheat, and a wide range of vegetables to be grown normally. In such situations, measures such as an optimized combination of irrigation and drainage, as well as soil amendment can be taken to adjust and control the salt content. Particularly, flattening the land with a large-scale machine was used to improve the ability of micro-topography to influence salt migration; rice and other dry, land crops were planted in rotation in combination with utilizing salt-leaching multiple times to speed up desalinization.

Effect of EME1 exon variant Ile350Thr on risk and early onset of breast cancer in southern Chinese women

Essential meiotic endonuclease 1 homolog 1 （EME1） is a key DNA repair protein that participates in the rec- ognition and repair of DNA double-strand breaks. Deficiency of the EME1 gene can lead to spontaneous genomic instability and thus contribute to tumorgenesis. We hypothesized that the exon variants of EME1 confer genetic susceptibility to breast cancer. In a case-control study of 748 breast cancer patients and 778 normal controls, we analyzed the association between two exon variants of EME! （i.e.,Ile350Thr： rs12450550T 〉 C and Glu69Asp： rs3760413T 〉 G） and breast cancer risk. We found that compared to the common lie/lie genotype, the Thr variant genotypes （Thr/lle ＋ Thr/Thr） conferred a 1.47-fold increased risk of breast cancer （OR=1.47, 95% CI=I. 13-1.92）. The variant Ile350Thr was also associated with early onset of breast cancer （r = -0.116, P = 0.002）. The mean age of onset was 44.4 years for Thr/Thr genotype carders and 46.5 years for Thr/lle genotype carriers, which was significantly lower than that （49.4 years） for Ile/Ile genotype carriers （P = 0.006）. Moreover, no significant as- sociation was observed between the Glu69Asp variant and breast cancer risk. Our findings suggest that the EME1 variant Ile350Thr contributes to an increased risk and early onset of breast cancer.

ENERGY MANAGEMENT STRATEGY FOR PARALLEL HYBRID ELECTRIC VEHICLES

Energy management strategy (EMS) is the core of the real-time controlalgorithm of the hybrid electric vehicle (HEV). A novel EMS using the logic threshold approach withincorporation of a stand-by optimization algorithm is proposed. The aim of it is to minimize theengine fuel consumption and maintain the battery state of charge (SOC) in its operation range, whilesatisfying the vehicle performance and drivability requirements. The hybrid powertrain bench testis carried out to collect data of the engine, motor and battery pack, which are used in the EMS tocontrol the powertrain. Computer simulation model of the HEV is established in the MATLAB/Simulinkenvironment according to the bench test results. Simulation results are presented for behaviors ofthe engine, motor and battery. The proposed EMS is implemented for a real parallel hybrid carcontrol system and validated by vehicle field tests.

DNA损伤修复基因Eme1在肿瘤发生及放化疗调控中作用的研究进展

DNA损伤修复基因异常表达可致DNA损伤修复的失调,进而引起基因组的不稳定,最终可能导致肿瘤的发生发展。DNA损伤修复基因也能够一定程度地修复肿瘤细胞放化疗引起的DNA损伤,这也是肿瘤治疗过程中放化疗耐受的一个原因。Eme1作为DNA损伤修复基因之一,现已发现其遗传变异与多种肿瘤的发生相关,且可能在肿瘤放化疗敏感性调控中发挥作用,对Eme1进行深入研究有望获得新的肿瘤标志物和治疗靶点。近年来在对Eme1的研究中发现该基因的遗传变异可能使肿瘤易感性增加,且Eme1介导的DNA损伤修复可能导致肿瘤治疗过程中对放疗和化疗不敏感。

DEVELOPMENT OF THE ENERGY MANAGEMENT STRATEGY FOR PARALLEL HYBRID ELECTRIC URBAN BUSES

A novel parallel hybrid electrical urban bus （PHEUB） configuration consisting of an extra one-way clutch and an automatic mechanical transmission （AMT） is taken as the study subject. An energy management strategy combining a logic threshold approach and an instantaneous optimization algorithm is proposed for the investigated PHEUB. The objective of the energy management strategy is to achieve acceptable vehicle performance and drivability requirements while simultaneously maximizing the engine fuel consumption and maintaining the battery state of charge in its operation range at all times. Under the environment of Matlab/Simulink, a computer simulation model for the PHEUB is constructed by using the model building method combining theoretical analysis and bench test data. Simulation and experiment results for China Typical Bus Driving Schedule at Urban District （CTBDS_UD） are obtained, and the results indicate that the proposed control strategy not only controls the hybrid system efficiently but also improves the fuel economy significantly.

美军舰载电子模块化封装箱EME研制过程

舰载电子模块化封装箱EME(国内称为EME电子方舱)是美军研发最新型驱逐舰DDG-1000过程中提出的一种新的集成、适配、测试设备。论文描述DDG-1000驱逐舰项目用EME的历史和开发过程,指出了该项目演化过程中EME的设计选项和做出的决策,与EME相关的对舰艇影响等。论文有助于各级领导和技术人员全面认识EME。

Energy Management for a Residential Microgrid Using Wavelet Transform and Fuzzy Control Including a Vehicle-to-Grid System

This paper presents the design and implementation of an energy management system （EMS） with wavelet transform and fuzzy control for a residential micro-grid. The hybrid system in this paper consists of a wind turbine generator, photovoltaic （PV） panels, an electric vehicle （EV）, and a super capacitor （SC）, which is able to connect or disconnect to the main grid. The control strategy is responsible for compensating the difference between the generated power by the wind and solar generators and the demanded power by the loads. Wavelet transform decomposes the power difference into a smoothed component and a fast fluctuated component. The command approach used for fuzzy logic rules considers the state of charging （SOC） of EV, renewable production, and the load demand as parameters. Furthermore, the command rules are developed in order to ensure a reliable grid when taking into account the EV battery protection to decide the output power of the EV. The model of the hybrid system is developed in detail under Matlab/Simulink software environment.