要把真经度与人——从余华作品看北京“实验教科书”的问题

语文从来就不是一个纯粹的"工具",而是一个包含着世界观和价值观的意义世界。因此,纯粹将"文"当做弘道宣化的"经"固不可取,但完全无视它在情感和道德上对学生的影响力,完全放弃从"经"和"道"的高度来衡量"文",则会导致更为严重的后果。所以,编选语文教材,是一项严肃而重要的工作,一定要把那些载"常道"的"真经"编选进来,只有这样,才能通过语文课的教学,对学生的精神成长产生积极的影响。

藏本《通玄真经》音释考

《道藏》本《通玄真经》的释音有着很高的语料价值。藏本、宋本、铁华馆丛书本三个版本虽略有出入,实出同源。唐徐灵府《通玄真经》音注内容具有多样性特点。元杜道坚《通玄真经缵义》在音注方式上是对徐注的继承和改作,明显地带有自身的特点,但又非囿于吴地方音,反映了宋元时期以通语作注的一种类型。

《大洞真经》与《大洞玉经》异文研究

道经文本在流传过程中辗转传抄,讹误颇多,研究中古道经的异文现象有重要的学术意义。《大洞真经》是道教上清派最根本的经典,《大洞玉经》则是对其进行删改及注解而形成的版本。通过对《大洞真经》与《大洞玉经》进行文字、词汇等的对比分析,对两书经文的正误作出判断,并总结文本之间传抄致误的规律。这不仅有助于正确释读经文,也有利于进一步深入研究中古道经语言,从而深入挖掘道经对于中古汉语史研究的价值。

Design of hydraulic motor speed control system based on co-simulation of AMESim and Matlab_Simulink

In order to design an effective hydraulic motor speed control system, Matlab_Simiulink and AMESim co-simulation technology is adopted to establish more accurate model and reflect the actual system. The neural network proportion-integration-differentiation （PID） control parameters on-line adjustment is utilized to improve system accuracy, celerity and stability. Simulation results indicate that with the control system proposed in this paper, the system deviation is reduced, therefore accuracy is improved; response speed for step signal and sinusoidal signal gets faster, thus acceleration is rapidly improved; and the system can be restored to the control value in case of interfering, so stability is improved.

New Algorithm for Image Target Recognition Based on Fractal Feature Fusion

By combining fractal theory with D-S evidence theory, an algorithm based on the fusion of multi-fractal features is presented. Fractal features are extracted, and basic probability assignment function is designed. Comparison and simulation are performed on the new algorithm, the old algorithm based on single feature and the algorithm based on neural network. Results of the comparison and simulation illustrate that the new algorithm is feasible and valid.

Multiple Purpose Simulation for Electric Vehicles

Aim Toshorten integral design period of electric vehicles Methods The electric vehicle simulation program(EVSP), a modular user-friendly program which is written in Borland C++ OWL for Windows was developed. Results EVSP allows simulating the dynamic and the economy performance of electric vehicles.EVSP provides many kinds of data input module,a large components library of electric vehicles and several kinds of speed cycle with these library,it is easily to develop a new concept of different drive trains or even to compare or improve the existing electric vehicles. The paper simulated the performance of YW6120DD Electric Bus, and analyzed the test results comparing with simulation results Conclusion The simulation results indicate that the EVSP may contribute to the developments of electric vehicles in general and the definition of the optimal match management in the drive train in particular.

论《楞严经》佛学思想的特色及其影响

《楞严经》尽管不能单纯归于如来藏系 ,但其所包含的如来藏思想 ,在传入中国的此类经典之中 ,也是相当独特的。与其它经典相比 ,该经典至少有三点是非常突出的 :其一是以“无始菩提涅槃元清净体”来说明如来藏真心 ;其二是说明所有虚妄的存在都是“妄心”之执着所成 ,而此“妄心”则是一切众生“不知常住真心性净明体”而依真起妄的结果 ;其三是从这一“如来藏真心”引申出其独具特色的修行观 ,修此无上妙法的要义也就在于入至一真无妄之地 ,使六根清净。

MODEL REFERENCE ADAPTIVE CONTROL BASED ON NONLINEAR COMPENSATION FOR TURBOFAN ENGINE

The design of a turbofan rotor speed control system, using model reference adaptive control（MRAC） method with input and output measurements, is discussed for the purpose of practical application. The nonlinear compensator based on functional link neural network is used to deal with the engine nonlinearity and the hardware-in-loop simulation is also developed. The results show that the nonlinear MRAC controller has the adequate performance of compensating and adapting nonlinearity arising from the change of engine state or working environment. Such feature demonstrates potential practical applications of MRAC for aeroengine control system.

ADAPTIVE NEURAL NETWORK ATTITUDE CONTROL FOR UNMANNED HELICOPTER

Adaptive flight control technology, feedback linearization, model inversion theory are reviewed and the error dynamic characteristics are analyzed, and an adaptive on-line neural network attitude control system is presented. The model inversion is under the hover condition. And the adaptive control law based on the neural network is designed to guarantee the boundedness of tracking error and control signals. Simulation results demonstrate that the nonlinear neural network augmented model inversion can self-adapt to the uncertainty and modeling errors of unmanned helicopters. Results are compared while the parameters of PD controller and robustness items are changed.

Integration of Neural Networks and Cellular Automata for Urban Planning

This paper presents a new type of cellular automa ta (CA) model for the simulation of alternative land development using neural netw orks for urban planning. CA models can be regarded as a planning tool because th ey can generate alternative urban growth. Alternative development patterns can b e formed by using different sets of parameter values in CA simulation. A critica l issue is how to define parameter values for realistic and idealized simulation . This paper demonstrates that neural networks can simplify CA models but genera te more plausible results. The simulation is based on a simple three-layer netw ork with an output neuron to generate conversion probability. No transition rule s are required for the simulation. Parameter values are automatically obtained f rom the training of network by using satellite remote sensing data. Original tra ining data can be assessed and modified according to planning objectives. Altern ative urban patterns can be easily formulated by using the modified training dat a sets rather than changing the model.

Chemical Components from the Fungus Engleromyces goetzei

A new ceramide, (2S,3S,4R, 10E)-2-[(2'R)-2'-hydroxytetracosanoyl amino]-10-octadecene-1, 3,4-triol (1), together with twelve known compounds, cerebroside A, cerebroside B, cerebroside D, cytochalasin D, epoxycytochalasin D, cytochalasin C, loganin, cerevisterol, ergosta-7,22-dien-3beta, 5alpha, 6alpha-triol, ergosta-4,6,8(14),22-tetraen-3-one, ergosterol peroxide and ergosta-5,7,22-trien-3-ol, was isolated from ethyl acetate fraction of Engleromyces goetzei P. Henn. The structure of new ceramide (1) was elucidated by spectral data and chemical method, especially by 2D-NMR techniques. All of the compounds except cytochalasin D were first obtained from this fungus.

Diversity of Entomopathogenic Fungi in Argane Forest Soil and Their Potential to Manage Mediterranean Fruit Fly （Ceratitis capitata）

The present study forms a part of biological control against the medfly （Ceratitis capitata） and seeks to isolate and determine the diversity of the medfly-associated entomopathogenic fungi in soil samples collected from Argane （Argania spinosa） forest, in different localities of Souss-Massa region. Search and isolation of the indigenous populations of Ceratitis capitata entomopathogenic fungi was carried out by using larvae of this pest as baits. After trapping, isolation and identification of fungal isolates, a pathogenicity test was used to select fungal strains that have significant virulence potential against the Mediterranean fruit fly. The degree of virulence was estimated by the ability of the fungus to induce the disease and/or the death in the insect and also by calculating the lethal time 50 （LT50）. The obtained results were clearly demonstrated the sensitivity of medfly to tested fungal strains and particularly to strains of Fusarium sp., Aspergillus niger and Scopulariopsis sp. that have shown high mortality rates （more than 84%） and to Trichoderma harzianum, Scedosporium sp., Epicoeeum sp. and Ulocladium sp. with more than 70% mortality for the two tested concentrations. Furthermore these strains showed short LT50 （less than 83 hours）. All these results confirm the presence of entomopathogenic fungi of Ceratitis capitata in Argane soil, and prove the potential of entomopathogenic fungi for biocontrol of the Mediterranean fruit fly under laboratory conditions.

Phenomenological Simulation Study of Neuronal Activity Synchronization in 110 Elements Network

The phenomenon of activity synchronization in biological neural network is considered. Simulation of neurons dynamics in the 6-layer neural network with 110 elements in different regimes： regular spikes, chaotic spikes, regular and chaotic bursting, etc was performed. Izhykevich＇s phenomenological model that displays different types of activity inherent for real biological neurons was used for simulation. Space-time diagram for the entire network and raster plots for the whole structure and for each layer separately were built for visual inspection of neural network activity synchronization. Synchronization coefficients based on cross-correlation times of action potentials for all neurons pairs were calculated for the whole neural system and for each layer separately.

Proposed Entanglement Swapping in Continuous Variable Systems via Braiding

We study entanglement swapping in continuous variable systems by using braiding transformations.It isfound that entanglement swapping in two-mode squeezed vacuum states and squeezed coherent states can be realizedbased on the braiding operators.

Orhan Pamuk＇s Istanbul

The paper is based on the autobiographic-essayistic book Istanbul： Memories of a City written by Orhan Pamuk. lstanbul as a typical old capital shapes the lives of its citizens by its spirit, culture, and imperial past. On the other hand, it is a city that lives with specific sentiments--the sense of defeat and loss, melancholy and pain because of the lost power and glory. The author analyzes Pamuk＇s vision of his native city created on the basis of the real scenes and imaginary, the truly lived experiences and fiction. The paper is also concentrated on the deeds of the Turkish and European writers that had made a great contribution in Pamuk＇s synthesis of the East and the West, the past and the present and authentic permeation of cultures he has achieved writing about Istanbul.

Vacuum Solutions of Classical Gravity on Cyclic Groups from Noncommutative Geometry

Based on the observation that the moduli of a link variable on a cyclic group modify Connes' distance on this group, we construct several action functionals for this link variable within the framework of noncommutative geometry. After solving the equations of motion, we find that one type of action gives nontrivial vacuum solution for gravity on this cyclic group in a broad range of coupling constants and that such a solution can be expressed with Chebyshev's polynomials.

Design and Simulation of Single Neuron Adaptive PID Controller

The purpose of this paper is to design a neuron adaptive PID controller based on the theory of intelligent control of the extens- ive research on the characteristics of neuronss, neurons and PID controller. Artificial neurons have the adaptive, parallel processing, selflearning learning, and mare fault-tolerant characteristics. When the artificial neurons are used to control the process, the syste^n will enabled to en-sure that the accused has strong anti-interference capability and ro. bustness.

Simulation of phytoplankton biomass in Quanzhou Bay using a back propagation network model and sensitivity analysis for environmental variables

Prediction and sensitivity models,to elucidate the response of phytoplankton biomass to environmental factors in Quanzhou Bay,Fujian,China,were developed using a back propagation(BP) network.The environmental indicators of coastal phytoplankton biomass were determined and monitoring data for the bay from 2008 was used to train,test and build a three-layer BP artificial neural network with multi-input and single-output.Ten water quality parameters were used to forecast phytoplankton biomass(measured as chlorophyll-a concentration).Correlation coefficient between biomass values predicted by the model and those observed was 0.964,whilst the average relative error of the network was-3.46% and average absolute error was 10.53%.The model thus has high level of accuracy and is suitable for analysis of the influence of aquatic environmental factors on phytoplankton biomass.A global sensitivity analysis was performed to determine the influence of different environmental indicators on phytoplankton biomass.Indicators were classified according to the sensitivity of response and its risk degree.The results indicate that the parameters most relevant to phytoplankton biomass are estuary-related and include pH,sea surface temperature,sea surface salinity,chemical oxygen demand and ammonium.

Simulation and Comparative Study of CO_2 Capture in Underwater LSS Using HYSYS

Long-duration manned submersible missions require advanced life support systems (LSS) that can regenerate air, water and food. This study presented two CO_2-capture methods used in LSS, CO_2 removal with diethanolamine (DEA) and cryo-freezing with liquid oxygen. Both processes were modeled and simulated with HYSYS simulator. The performance of the two types of module was compared, and the results showed that the latter could be advantageous over the former in specific power, facility scale, operation reliability and safety. Economic evaluation suggested the latter cost only half of the former. Cryo-capture module could be an alternative for underwater LSS because of its efficiency and compactness.