试论历史唯物主义对人类社会发展的整体预设

以实践为基点,马克思创立了科学的历史唯物主义理论。历史唯物主义一方面揭示了人类社会发展变化的规律所在,同时也大胆对人类社会的整体发展进行了预测,即人类社会的发展是集目的性、上升性、方向性的有机整体。

Characterization and Identification of a Novel Mutant fon(t) on Floral Organ Number and Floral Organ Identity in Rice

The floral-organ-number mutant fon（t） was firstly discovered in the progeny of a cross between a diploid （Chunjiang 683） and a haploid （SARⅣ/-620-A） rice cultivar. The fon（t） mutant showed normal vegetative development and produced normal inflorescence structures. Difference between the mutant and the wild type was observed when the stamen primordia began to form. The mature flowers offon（t） mutant showed open-hull phenotypes, which resulted in the exposure of stamens and stigmas. Normally, a single fon（t） floret consisted of six to nine stamens and one or two pistils. In addition, stamen/pistil-like structures and bulged tissues near ovaries were also observed in a few fon（t） florets. But homeotic transformation of lodicules into palea/lemma-like organs was observed almost in all the open-hull florets. The phenotypes offon（t） flowers also suggested thatfon（t） gene might affect flower organ identity in the inner whorls. Genetic analysis showed that thefon（t） mutant was controlled by a single recessive gene.

Improvement on molecular sex identification primers for Passeriform bird species

The primer pair sex1/sex2,which can be widely applied for sex identification in Galliform species,was used to determine the sex of 17 Passeriform species.As CHD-W fragments tended to be preferentially amplified,which may cause unnecessary misidentification in bird species with little difference between CHD-Z and CHD-W,we modified sex1 and sex2,obtaining sex1' and sex-mix respectively.Primer sets were then recombined to conduct sex identification.After testing several Passeriforme birds of known sex,we found that the primer pair sex1'/sex2 was better at limiting the preferential amplification of CHD-W fragments.As they are being frequently used in sex allocation study of Aegithalos concinnus and song learning research of Lonchura striata,we can expect more applications of this primer pair to further studies in Passeriformes.

PARETO FRONT CAPTURE USING DETERMINISTIC OPTIMIZATION METHODS IN MULTI-CRITERION AERODYNAMIC DESIGN

Deterministic optimization methods are combined with the Pareto front concept to solve multi-criterion design problems. The algorithm and the numerical implementation are applied to aerodynamic designs. Evolutionary algorithms （EAs） and the Pareto front concept are used to solve practical design problems in industry for its robustness in capturing convex, concave, discrete or discontinuous Pareto fronts of multi-objective optimization problems. However, the process is time-consuming. Therefore, deterministic optimization methods are introduced to capture the Pareto front, and the types of the captured Pareto front are explained. Numerical experiments show that the deterministic optimization method is a good alternative to EAs for capturing any convex and some concave Pareto fronts in multi-criterion aerodynamic optimization problems due to its efficiency.

Stable MIMO Constrained Predictive Control with Steadystate Objective Optimization

A two-stage multi-objective optimization model-predictive control algorithms(MPC) strategy is presented. A domain MPC controller with input constraints is used to increase freedom for steady-state objective and enhance stabilization of the controller. A steady-state objective optimization algorithm oriented to transient process is adopted to realize optimization of objectives else than dynamic control. It is proved that the stabilization for both dynamic control and steady-state objective optimization can be guaranteed. The theoretical results are demonstrated and discussed using a distillation tower as the model. Theoretical analysis and simulation results show that this control strategy is efficient and provides a good strategic solution to practical process control.

A multi-objective model for cordon-based congestion pricing schemes with nonlinear distance tolls

Congestion pricing is an important component of urban intelligent transport system.The efficiency,equity and the environmental impacts associated with road pricing schemes are key issues that should be considered before such schemes are implemented.This paper focuses on the cordon-based pricing with distance tolls,where the tolls are determined by a nonlinear function of a vehicles' travel distance within a cordon,termed as toll charge function.The optimal tolls can give rise to:1) higher total social benefits,2) better levels of equity,and 3) reduced environmental impacts(e.g.,less emission).Firstly,a deterministic equilibrium(DUE) model with elastic demand is presented to evaluate any given toll charge function.The distance tolls are non-additive,thus a modified path-based gradient projection algorithm is developed to solve the DUE model.Then,to quantitatively measure the equity level of each toll charge function,the Gini coefficient is adopted to measure the equity level of the flows in the entire transport network based on equilibrium flows.The total emission level is used to reflect the impacts of distance tolls on the environment.With these two indexes/measurements for the efficiency,equity and environmental issues as well as the DUE model,a multi-objective bi-level programming model is then developed to determine optimal distance tolls.The multi-objective model is converted to a single level model using the goal programming.A genetic algorithm(GA) is adopted to determine solutions.Finally,a numerical example is presented to verify the methodology.

Geological uncertainty and risk:implications for the viability of mining projects

Computerized geological models are the basis of modern mine design,planning and production.A sound,validated geological model is essential to the success of a min- ing project.However,due to the complexity of geology surrounding deposits,geological models inherit uncertainty,or error.This geological uncertainty may significantly affect the risk profile of a mining project during its design and operational phases.Methodologies for quantifying geological uncertainty and risk have been developed by CRC Mining and the University of Queensland,Australia and successfully applied to case studies.This paper discussed the implications of geological uncertainty and risk to a coal mining project,and presents advances for quantifying geological/geotechnical uncertainty and risk.A case study is presented to demonstrate the application of the technology developed.

A multi-objective gravitational search algorithm based approach of power system stability enhancement with UPFC

On the basis of the theoretical analysis of a single-machine infinite-bus （SMIB）, using the modified linearized Phil- lips-Heffron model installed with unified power flow controller （UPFC）, the potential of the UPFC supplementary controller to enhance the dynamic stability of a power system is evaluated by measuring the electromechanical controllability through singular value decomposition （SVD） analysis. This controller is tuned to simultaneously shift the undamped electromeehanical modes to a prescribed zone in the s-plane. The problem of robust UPFC based damping controller is formulated as an optimization problem according to the eigenvalue-based multi-objective function comprising the damping factor, and the damping ratio of the undamped electromechanical modes to be solved using gravitational search algorithm （GSA） that has a strong ability to find the most optimistic results. The different loading conditions are simulated on a SMIB system and the rotor speed deviation, internal voltage deviation, DC voltage deviation and electrical power deviation responses are studied with the effect of this flexible AC transmission systems （FACTS） controller. The results reveal that the tuned GSA based UPFC controller using the proposed multi-objective function has an excellent capability in damping power system with low frequency oscillations and greatly enhances the dynamic stability of the power systems.

Multi-objective planning model for simultaneous reconfiguration of power distribution network and allocation of renewable energy resources and capacitors with considering uncertainties

This research develops a comprehensive method to solve a combinatorial problem consisting of distribution system reconfiguration, capacitor allocation, and renewable energy resources sizing and siting simultaneously and to improve power system's accountability and system performance parameters. Due to finding solution which is closer to realistic characteristics, load forecasting, market price errors and the uncertainties related to the variable output power of wind based DG units are put in consideration. This work employs NSGA-II accompanied by the fuzzy set theory to solve the aforementioned multi-objective problem. The proposed scheme finally leads to a solution with a minimum voltage deviation, a maximum voltage stability, lower amount of pollutant and lower cost. The cost includes the installation costs of new equipment, reconfiguration costs, power loss cost, reliability cost, cost of energy purchased from power market, upgrade costs of lines and operation and maintenance costs of DGs. Therefore, the proposed methodology improves power quality, reliability and security in lower costs besides its preserve, with the operational indices of power distribution networks in acceptable level. To validate the proposed methodology's usefulness, it was applied on the IEEE 33-bus distribution system then the outcomes were compared with initial configuration.

Subpixel Target Location Techniques for 3-D Coordinate Measuring System

the close photogrammetric 3-D coordinate measurement is a newmeasuring technology in the fields of the coordinate measurementmachine (CMM) in recent years. In this method, we usually place sometargets on the measured object and take image of targets to determinethe object coordinate. The subpixel location of target image plays animportant role in high accuracy 3-D coordinate measuring procedure.In this paper, some subpixel location methods are reviewed and somefactors which affect location precision are analyzed.

An improved RANSAC algorithm for 3D wheel alignment

Aiming at the defects of traditional four-wheel aligner such as many sensors,complex operation and slow detection speed,a fast and accurate 3D four-wheel alignment detection method is studied.Firstly,a new and special circle center target board is designed to calibrate the camera,and then the registration of the homography matrix is optimized by using the improved RANSAC(Random sample consensus)algorithm combined with the designed special target board,and the parameters of the wheel alignment system are adjusted by using the space vector principle.Accurate measurements are made to obtain the parameters of the four-wheel alignment.Design a calibration comparison experiment between the traditional target board and the new type of target board,and conduct a comparative test with the existing four-wheel aligner of the depot.The experimental results show that the use of the new target board-binding optimization algorithm can improve the calibration efficiency by about 9%to 21%,while improving the calibration accuracy by about 10.6%to 17.8%.And through the real vehicle test,it is verified that the use of the new target combined with the optimization algorithm can ensure the accuracy and reliability of the four-wheel positioning.This method has a certain significance in the rapid detection of vehicle four-wheel alignment parameters.

Successful Delivery of Infrastructural Projects： Epistemic Overview of Cost Risk and Uncertainties

The process of decision making and risk analysis are essential tasks along the construction project cycle. Over the years, construction practitioners and researchers have used various methods, tools and techniques to evaluate risk and assist in making more concise decisions. Most practitioners, however, rely on their expert judgment, past experience, intuition, acquired and accumulated knowledge and gut feelings to make decisions. Aleatory （natural, heterogeneity and stochasticity） and epistemic （subjective, ignorance） are the two major types of uncertainties observed in natural sciences. Practitioners traditionally deal with aleatory uncertainty through probabilistic analysis based on historical data （frequentist approach）; and epistemic uncertainty, on the other hand, handled through the Bayesian approach which has limitations since it requires a priori assumption. This paper reports the application of the DST （Dempster Shafer Theory） of evidence to determine the most critical risk factors affecting project cost contingencies using their epistemic probabilities of occurrence. The paper further discuses how these factors can be managed to enhance successful delivery of infrastructural projects. It uses the mixed methodology, with data gathered through structured questionnaires distributed to construction clients, contractors, professionals and experts in the built environment. The research revealed that design risk, financial risk and economic risk were most important cost risk categorizations. In particular, scope changes, incomplete scope definition, incomplete design, changes in specification, micro and macroeconomic indicators and delayed payment problems were identified as the most important risk factors to be considered during the cost contingency estimation process, hence successful delivery of infrastructural projects. The paper concludes by recommending modalities for managing the contingency evolution process of risk estimation to enhance successful delivery and management of infrastructural projects.

Discontinuous flying particle swarm optimization algorithm and its application to slope stability analysis

A new version of particle swarm optimization(PSO) called discontinuous flying particle swarm optimization(DFPSO) was proposed,where not all of the particles refreshed their positions and velocities during each iteration step and the probability of each particle in refreshing its position and velocity was dependent on its objective function value.The effect of population size on the results was investigated.The results obtained by DFPSO have an average difference of 6% compared with those by PSO,whereas DFPSO consumes much less evaluations of objective function than PSO does.

Portable Distortion Degree of Measuring Apparatus

Distortion is a technical indicator in the field of voice signal processing. The design is a portable distortion degree tester, based on Field-Progranmmble Gate Array （FleA, EP2C20） as the cote, using harmonic analysis method which better solve the distortion problem of acctwacy. It can achieve the signal transformation from the time-domain to the frequency-donkain, and is widely used for signal spectrum analysis. All the componets used in the design are low power, high perf-, low drift and industrial grade compionents. The reference voltage sources of ADC and DAC have identical performance of high stability, high precision. The dtr.k is the precise stable clock with FPGA temperature compensation. This project can get the cost-effective, high-precision, low power and portable design goals.

The Game-Theoretical Approach to the Simulation of Sustainable Development Strategies

Choosing a strategy for sustainable development is national level aimed at the simultaneous fulfillment of economic, a fundamental problem that requires non-trivial approaches at the social and environmental goals. This contradiction is possible to be adequately described in the complex game-theoretic models. But analysis of them is complicated by the problems of algorithmic solvability and the payoff functions construction. Also, the volume of data required creates considerable complexity increased by the conditions of situations uncertainty and conflict. At the same time, international organizations, such as UN （United Nations）, ITU （International Telecommunications Union）, are widely used index system. Indices, built on the aggregation of elementary indicators, allow the estimation of the components of the system and its overall development. The paper discusses the basic concepts of game-theoretic approach to the problems of finding strategies for sustainable development, using indicative analysis techniques. In the proposed approach, estimating of sustainability is considered as the result of finding the optimal values of the payoff functions in general game-theoretical model where the players are matched indices. The interests of the player are to increase of the corresponding index and the optimal situation is implemented as a set of optimal payoff functions values. This allows switching from processing of large amounts of data describing the behavior of the ecological-economic system by the aid of indicators to aggregate estimations, which significantly reduce the sample, and also facilitates the interpretation of the results.

Study on Factors of College Student＇s Network service time Based on Bayesian Networks

Due to the uncertainty of the factors that influence the network service time and other characters of college student, Bayesian Network is used to model this kind of system. Different algorithms are used for learning Bayesian Networks in order to compare several models. It is suggested that researchers can use Bayesian Networks to explore the potential relationship between variables of complex social problems. The result indicates that learning target and family closeness degree are the key variables which influenced college student＇ s network service time. Origin of student and family economy didn＇ t influence college student＇ s network service time directly. Schools and community should strengthen the education of college students life planning and communication with parents.

Redressive Strategies for FTA in Oprah Winfrey＇s Talk Show

Redressive strategy plays an important role in talk show. This paper attempts to analyze the application of PP （Politeness Principle） and its redressive strategies in Oprah Winfrey＇s Talk Show from the pragmatic perspective This paper employs two theories, the PP and its redressive strategies （especially redressive strategies）. The analytical data for the present study are collected from Oprah Winfrey＇s Talk Show. In order to understand the PP and its redressive strategies better, this paper will analyze and investigate Oprah Winfrey＇s Talk Show from different perspectives by means of qualitative approach. The purpose of this study is the application of these two theories in the daily talk, and the analysis of how they do FTAs （Face-Threatening Acts）. The success of Oprah Winfrey＇s Talk Show lies in her super language skill and her ability of dealing with some problems. In her talk show Oprah often adopts redressive strategy to save the guest＇s face and keep a congenial atmosphere. The author hopes that this study can help the audience better enjoy and understand talk show program, and maintain the stable and harmonious relationship in real human interaction. The analytical work in the present paper is just a tiny part of politeness, and it is hoped that further studies can be conducted to make more contributions to politeness

Agricultural Support Policies and Public Budgeting in Turkey

Agriculture is a leading strategic sector in Turkey as it is in entire world. Despite this strategic significance, risks, and uncertainties, the dependence on natural conditions turns agriculture into a disadvantaged sector. Just because of these disadvantages, agriculture is protected by various support policies throughout the world. Agricultural policies of Turkey have initiated with institutionalization policies of the Republican period and progressed through product supports, input supports, and low-interest credit implementations of the planned period. These policies experienced serious reforms at the beginning of 2000s. Within the scope of Agricultural supports and Reforms Implementation Project （ARIP）, agricultural supports tried to be gathered under a single roof and Direct Income Support （DIS） implementations started. The DIS implementations lasted for eight years and terminated in 2008. The aim of this study is to examine agricultural supports in Turkey and their shares in the public budget. As material, macroeconomic data are used in this study. The data consist of transfers from the ministry of food, agriculture, and livestock to agriculture and budget numbers. The results of the study reveal that current agricultural policy tools are implemented as area-based supports, subsidiary payments, rural development, and agricultural insurance supports. The budget allocated to agriculture and the share of agricultural supports in Gross Domestic Product （GDP） of Turkey does not exhibit much change in years. Considering the policies and supports provided in developed countries and especially in European Union （EU） countries, it recommend for Turkey that the share of agricultural supports in total budget should be increased to levels in those countries.

The uncertain analysis of micro agricultural project investment

We conduct uncertain analysis of micro agricultural project, including the break-even analysis of single product micro agricultural project, the boundary break-even points analysis of the double product micro agricultural project. We find out the critical point and the critical line of the break-everL We analyze the ability to resist risk. This analyses help the micro agricultural project＇s investors to price reasonably, forecast the earnings and make the correct decision.