立足社会多数:邓小平政治观的数量基础

邓小平政治观能够"导致行动"的关键,是"立足社会多数"的思想。在和平与发展的时代主题下,邓小平政治观从社会多数人的现实状况出发,成为马克思主义政治观在当代中国的具体运用和最新发展。立足社会多数是邓小平政治观的科学前提:立足多数人的生产力水平,确立了初级阶段理论;适应多数人的生产力水平,作出了改革开放决策;提高多数人的生产力水平,创新了当代中国政治。立足社会多数是邓小平政治观的民众基础:尊重多数人的选择,坚持四项基本原则;服务多数人的利益,大力发展社会生产力;满足多数人的需求,逐步实现共同富裕。立足社会多数是邓小平政治观的实践归宿:把握多数人的状况,根据实际制定政策;依靠多数人的智慧,尊重群众首创精神;接受多数人的评判,确立科学价值标准。

基础颗粒数量组合对颗粒黏结模型精度的影响

针对矿石破碎模型与实际矿石性质差异造成的破碎仿真不准确及磨矿工艺参数难以确定的问题,采用离散元法建立矿石颗粒黏结模型,重点研究基础颗粒的数量组合对颗粒黏结模型精度的影响。依据落重试验破碎的63~53 mm粒级矿石,构建了5组不同粒径颗粒的数量组合及对应的颗粒黏结模型。通过对颗粒黏结模型的破碎仿真及实际矿石的破碎试验,得到破碎后粒度分布结果,对比分析了仿真与试验的破碎后粒度分布差异。研究结果表明:当大颗粒体积不超过总体积的50%,且中间颗粒与大颗粒体积比为0.21~0.22时,破碎仿真粒度的分布与实际矿石破碎试验结果较为一致。在模型体积填充率不变的情况下,不同基础颗粒的数量组合对破碎后颗粒团簇粒度有较大影响,选择合适的基础颗粒数量组合能够提高颗粒黏结模型的精度。

基础窦卵泡数量对多囊卵巢综合征患者促排卵治疗效果的探讨

目的:探讨不同基础窦卵泡数量对多囊卵巢综合征患者促排卵治疗效果的影响。方法:选择我院2020年4月至2022年4月收治的200例多囊卵巢综合征患者为研究对象,参考患者基础窦卵泡数量的不同将其分为A组(AFC≦20个)、B组(20~30个)、C组(≥30个)。所有患者均实施药物诱导促排卵治疗。比较三组患者促排卵药物使用总时间、无优势卵泡周期取消率、多优势卵泡(≥5)周期取消率、单优势卵泡率、排卵率、妊娠率、卵巢过度刺激综合征(OHSS)发生率、多胎率。结果:A组促排卵药物使用总时间及总剂量短于B组与C组(P<0.05);A组治疗后无优势卵泡周期取消率、多优势卵泡周期取消率均低于B组与C组,单优势卵泡率高于B组与C组(P<0.05);A组治疗后排卵率、妊娠率及多胎率高于B组与C组,OHSS发生率低于B组与C组(P<0.05)。结论:通常而言,较少的基础窦卵泡数量患者可获得更好的促排卵治疗效果,因此予以多囊卵巢综合征患者促排卵治疗前可采用其他辅助治疗方案减少其基础窦卵泡数量,进而改善其预后结局。

地方官员与中国基建——基础设施数量与质量的权衡决策机制

基于中国城市层面数据和世界银行调查数据,考察地方官员的基础设施供给行为。研究发现:地方官员中存在“生产型政府官员→基础设施数量→基础设施质量”的传导路径,同时生产型政府官员的角色越强,越有利于提升辖区基础设施数量,但是对基础设施质量的直接影响不确定,而且官员的能力特征对基础设施供给具有重要影响。其中,官员的学历提高有助于提升道路的数量和质量,但是对电力和通信质量具有负向影响;交流官员对基础设施质量具有正向影响,但是“空降型”官员整体上对基础设施数量和质量无提升作用,而在家乡任职的官员则更倾向于推行基础设施数量供给政策。

AMH水平筛查在孕前隐匿性卵巢储备功能降低诊断中的应用效果

目的探讨血清抗苗勒氏管激素(AMH)在孕前隐匿性卵巢储备功能降低诊断中的应用效果。方法选取2017年1月至2019年3月本院收治的孕前卵巢储备功能降低患者118例(降低组),卵巢储备功能正常者64例(正常组),卵巢储备功能高反应者94例(升高组)作为研究对象。在月经周期第2~5天采集静脉血标本开展促黄体生成素(LH)、促卵泡成熟激素(FSH)、AMH水平检测。采用阴超测量双侧卵巢基础窦卵泡数量(AFC)。比较3组各项指标水平、妊娠率及指标诊断孕前隐匿性卵巢储备功能的价值。结果降低组FSH水平高于正常组与升高组(P<0.05);降低组、正常组与升高组LH、AMH水平与AFC个数呈逐渐升高趋势(P<0.05);正常组临床妊娠率为65.63%,高于升高组的38.30%与降低组的17.80%,差异有统计学意义(P<0.05);AMH水平检测前隐匿性卵巢储备功能的灵敏度为92.02%,特异度为88.27%。结论AMH水平筛查在孕前隐匿性卵巢储备功能降低诊断中的应用效果较好,可准确评估卵巢储备功能,且不易受其他因素影响,效果优于传统指标。

Fingerprint singular points extraction based on orientation tensor field and Laurent series

Singular point(SP)extraction is a key component in automatic fingerprint identification system(AFIS).A new method was proposed for fingerprint singular points extraction,based on orientation tensor field and Laurent series.First,fingerprint orientation flow field was obtained,using the gradient of fingerprint image.With these gradients,fingerprint orientation tensor field was calculated.Then,candidate SPs were detected by the cross-correlation energy in multi-scale Gaussian space.The energy was calculated between fingerprint orientation tensor field and Laurent polynomial model.As a global descriptor,the Laurent polynomial coefficients were allowed for rotational invariance.Furthermore,a support vector machine(SVM)classifier was trained to remove spurious SPs,using cross-correlation coefficient as a feature vector.Finally,experiments were performed on Singular Point Detection Competition 2010(SPD2010)database.Compared to the winner algorithm of SPD2010 which has best accuracy of 31.90%,the accuracy of proposed algorithm is 45.34%.The results show that the proposed method outperforms the state-of-the-art detection algorithms by large margin,and the detection is invariant to rotational transformations.

A Statistical Parameter Analysis and SVM Based Fault Diagnosis Strategy for Dynamically Tuned Gyroscopes

Gyro's fault diagnosis plays a critical role in inertia navigation systems for higher reliability and precision. A new fault diagnosis strategy based on the statistical parameter analysis (SPA) and support vector machine (SVM) classification model was proposed for dynamically tuned gyroscopes (DTG). The SPA, a kind of time domain analysis approach, was introduced to compute a set of statistical parameters of vibration signal as the state features of DTG, with which the SVM model, a novel learning machine based on statistical learning theory (SLT), was applied and constructed to train and identify the working state of DTG. The experimental results verify that the proposed diagnostic strategy can simply and effectively extract the state features of DTG, and it outperforms the radial-basis function (RBF) neural network based diagnostic method and can more reliably and accurately diagnose the working state of DTG.

Noninvasive Flow Regime Identification for Wet Gas Flow Based on Flow-induced Vibration

A novel noninvasive approach, based on flow-induced vibration, to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the wet gas flow was conducted under the conditions of pipe diameter 50 mm, pressure from 0.25 MPa to 0.35 MPa, Lockhart-Martinelli parameter from 0.02 to 0.6, and gas Froude Number from 0.5 to 2.7. The flow-induced vibration signals were measured by a transducer installed on outside wall of pipe, and then the normalized energy features from different frequency bands in the vibration signals were extracted through 4-scale wavelet package transform. A "binary tree" multi-class support vector machine(MCSVM) classifier, with the normalized feature vector as inputs, and Gaussian radial basis function as kernel function, was developed to identify the three typical flow regimes including stratified wavy flow, annular mist flow, and slug flow for wet gas flow. The results show that the method can identify effectively flow regimes and its identification accuracy is about 93.3%. Comparing with the other classifiers, the MCSVM classifier has higher accuracy, especially under the case of small samples. The noninvasive measurement approach has great application prospect in online flow regime identification.

Study on the Precise Recognition Difficulty in Precision Poverty Alleviation

Accurate poverty alleviation refers to the poverty alleviation of different countries, different poor farmers situation, the use of compliance with the effective procedures for the implementation of accurate identification of poverty alleviation, accurate help, precise management of the way of poverty, precision identification is the prerequisite and basis for precision poverty. How to improve the precision of poverty alleviation in our country is an urgent problem to be solved in the practice of poverty alleviation. To improve the precision of poverty alleviation, it is necessary to accurately identify the poverty alleviation. Based on the background of precision poverty alleviation, the concept and significance of precision identification of poverty alleviation are expounded. On this basis, the problems of precision assistance in practice are mainly reflected in the disjointedness and the sufficient quantity of poverty alleviation resources, Cancel the help process in the matching funds, help projects and poor households tied to help form a flexible and diverse aspects of response measures.

Energy-Aware Traffic Routing with Named Data Networking

Greening Internet is an important issue now, which studies the way to reduce the increas- ing energy expenditure. Our work focuses on the network infrastructure and considers its energy awareness in traffic routing. We formulate the model by traffic engineering to achieve link rate a- daption, and also predict traffic matrices to pre- serve network stability. However, we realize that there is a tradeoff between network performance and energy efficiency, which is an obvious issue as Internet grows larger and larger. An essential cause is the huge traffic, and thus we try to fred its so- lution from a novel architecture called Named Data Networking （NDN） which tent in edge routers and can flexibly cache con- decrease the backbone traffic. We combine our methods with NDN, and finally improve both the network performance and the energy efficiency. Our work shows that it is effective, necessary and feasible to consider green- ing idea in the design of future Internet.

Design of intrinsically safe power supply

Aiming to make a high power direct current supply safely used in coal mine production, this paper made a deep research on characteristics of intrinsically safe power supply, using the mathematical model established according to coal mine intrinsic safety standards. It provides theory support for the application of high power intrinsically safe power supply. The released energy of output short circuit of switch power supply, and the close related factors that influence the biggest output short-circuit spark discharge energy are the theoretical basis of the power supply. It is shown how to make a high power intrinsically safe power supply using the calculated values in the mathematical model, and take values from intrinsically safe requirements parameters scope, then this theoretical calculation value can be developed as the ultimate basis for research of the power supply. It gets the identification method of intrinsically safe from mathematics model of intrinsically safe power supply characteristics study, which solves the problem of theory and application of designing different power intrinsically safe power supply, and designs a kind of high power intrinsically safe power supply through this method. energy, flyback

A Virtual Erection Simulation System for a Steel Structure Based on 3-D Measurement Data

he virtual erection simulation system was explained for a steel structure including ship and ocean plant blocks. The simulation system predicted the erection state to optimize any gap or overlap of blocks based on 3-D measurement data. The blocks were modified （cut） on the basis of the simulation result on the ground before erecting them by crane. The re-cutting process was not required and the blocks were erected into a mother ship speedily. Therefore, the erection time is reduced, increasing the dock turnover.

Expanding the Definition and Measurement of Knowledge Economy： Integrating Triple Bottom Line Factors into Knowledge Economy Index Models and Methodologies

The application of knowledge is a primary source of growth in the knowledge economy. The World Bank Group has developed a rigorous assessment methodology for assessing a country＇s ability to access and use knowledge to become more competitive in the knowledge economy of the 21st century. The World Bank＇s annual knowledge economy index is grounded on a four-pillar model： （1） economic incentives and institutional regime; （2） education and skills; （3） information and communication infrastructure; and （4） innovation systems. An argument can be made that the model lacks coverage of some key factors that pertain to intellectual capital and the production and consumption of knowledge. The model＇s heavy focus on economic incentives and open institutional regimes comes at a societal cost. This paper proposes an alternative knowledge economy index which is grounded in a more holistic and balanced view of a knowledge society. Adopting the perspective of triple bottom line shifts the purpose and design of a knowledge economy from one of aggregation and reporting to action and involvement. The World Bank＇s scorecard and indexing methodology are adaptable to this new perspective and a new set of indicators.

Parameter selection in time series prediction based on nu-support vector regression

The theory of nu-support vector regression (Nu-SVR) is employed in modeling time series variationfor prediction. In order to avoid prediction performance degradation caused by improper parameters, themethod of parallel multidimensional step search (PMSS) is proposed for users to select best parameters intraining support vector machine to get a prediction model. A series of tests are performed to evaluate themodeling mechanism and prediction results indicate that Nu-SVR models can reflect the variation tendencyof time series with low prediction error on both familiar and unfamiliar data. Statistical analysis is alsoemployed to verify the optimization performance of PMSS algorithm and comparative results indicate thattraining error can take the minimum over the interval around planar data point corresponding to selectedparameters. Moreover, the introduction of parallelization can remarkably speed up the optimizing procedure.

Quantitative deterministic versus probability analyses based on a safety margin criterion

This paper proposes a new criterion called the ratio of safety margin(RSM)for use in the areas of the global factor of safety,reliability and limit states analyses with reference to their respective allowable criteria.An equation for calculating RSM based on the reliability index is formulated.Efforts for proving the applicability of this criterion include a theoretical demonstration in a simple one-variable case;an investigation on a test problem involving two random variables,followed by a slope stability study on a 156 m high embankment dam and an illustrative example presented in a EuroCode 7 guidebook.Calculation of the ratios of safety margin in the three areas provides a quantitative way to accommodate the analytical results within the same theoretical framework and makes the outcomes mutually comparable and supportive,which is much more enlightening than that would be the case by considering only one of them.Calculating RSMs for reliability and limit states methods has also helped solve the key issue concerning the uniqueness of the partial factors calibrated from a particular‘target case’.

QKD-based quantum private query without a failure probability

In this paper, we present a quantum-key-distribution(QKD)-based quantum private query(QPQ) protocol utilizing single-photon signal of multiple optical pulses. It maintains the advantages of the QKD-based QPQ, i.e., easy to implement and loss tolerant. In addition, different from the situations in the previous QKD-based QPQ protocols, in our protocol, the number of the items an honest user will obtain is always one and the failure probability is always zero. This characteristic not only improves the stability(in the sense that, ignoring the noise and the attack, the protocol would always succeed), but also benefits the privacy of the database(since the database will no more reveal additional secrets to the honest users). Furthermore, for the user's privacy, the proposed protocol is cheat sensitive, and for security of the database, we obtain an upper bound for the leaked information of the database in theory.

Note on a new fundamental length scale l instead of the Newtonian constant G

The newly proposed entropic gravity suggests gravity as an emergent force rather than a fundamental one. In this approach,the Newtonian constant G does not play a fundamental role any more, and a new fundamental constant is required to replace itsposition. This request also arises from some philosophical considerations to contemplate the physical foundations for the unificationof theories. We here consider the suggestion to derive G from more fundamental quantities in the presence of a new fundamentallength scale l, which is suspected to originate from the structure of quantum space-time, and can be measured directly from Lorentz-violating observations. Our results are relevant to the fundamental understanding of physics, and more practically, of natural units,as well as explanations of experimental constraints in searching for Lorentz violation.

Influences of cavity leakage on the design of low flow coefficient centrifugal impeller

The low flow coefficient centrifugal impeller(LFCCI)gives a relatively low efficiency and a special treatment is required for the design of this kind of impeller.This paper investigates the influences of cavity leakage on the performance prediction and design of LFCCI based on Computational Fluid Dynamics(CFD)techniques.The results show that,the reduction in the effi-ciency of impeller due to the introduction of cavity leakage varies with the blade shape of impeller in a wide range since there is a strong and complex interaction of main flow and leakage flow in the LFCCI.To get a credible optimization result,the backside and foreside cavities should be considered in the CFD-based design of LFCCI.

A Parameterization of the Canonical Bases of Affine Modified Quantized Enveloping Algebras

For a symmetrizable Kac-Moody Lie algebra g, Lusztig introduced the corresponding modified quantized enveloping algebra˙U and its canonical basis˙B given by Lusztig in 1992. In this paper, in the case that g is a symmetric Kac-Moody Lie algebra of finite or affine type, the authors define a set M which depends only on the root category R and prove that there is a bijection between M and ˙B, where R is the T^2-orbit category of the bounded derived category of the corresponding Dynkin or tame quiver. The method in this paper is based on a result of Lin, Xiao and Zhang in 2011, which gives a PBW-type basis of U^+.