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Synthesis of Chalcone and Azachalcone Through Mechanical Vibration
WANG Chun-shan,WU Hao-hao,TAN Ya-jun,ZHANG Ze(School of Biological and Chemical Engineering,Anhui Polytechnic University,Wuhu 241000,China)Chalcone and azachalcone are widely applied in the field of pharmaceutical intermediate and organic synthesis.Therefore,it is of great importance to develop a novel,highly efficient and environment-friendly method for the synthesis of these compounds.Through a mechanical vibration method under solid phase condition,a series of chalcones and azachalcones are synthesized from various benzaldehydes with acetophenone and 2-acetyl pyridine,in which NaOH is used as the catalyst and a vibration frequency of 30 Hz is employed during 40-80 min.All the products are characterized by melting point,IR and HNMR analysis.The results indicate that this mechanical vibration process exhibits very high selectivity and yield.Compared with conventional reaction conditions in solution,the present method is highly efficient,green and economical.
Application of Digital Filter in Power Signal Analysis
GUO Xiao-li(School of Electric Engineering,Nantong University,Nantong 226019,China)Low and high digital filters with different window functions are proposed to detect voltage fluctuation signals and harmonics.The voltage fluctuation detection and the harmonic detection are achieved through square examination and Ip-Iq algorithm respectively.The test results show the FIR digital filter designed is so effective and feasible that it can achieve expected detection results.
The Application of API Function to VB
SHEN Xiao-hong,LIANG Xing-yan(School of Computer Science,Nantong University,Nantong 226007,China)The paper explains the application of API function to the development of VB program in four respects such as the outline of API function,methods of using API function,points for attention and some examples.It also shows that with API function,VB programs are able to control and process systematic parameters and resources of the hardware and develop Windows application programs more professionally.
A Poly-phase Filter Structure Implemented by Using FPGA
JI Xun-sheng 1 ,YANG Yong-jie 2 (1.Jiangnan university,Wuxi214000,China;2.Nantong Institute of Technology,Nantong226007,China)Accordingtothe signal processingcharaterisitics ofthe digitized filtering,the2-dimension decomposition forthe trunˉcated impulse response wave is made,and the poly-phase structure for the filter is derived By analyzing the poly-phase strucˉture,a simple and feasible structure implemented byFPGAis proposed,whichis based on the look-up table ofthe filter's coeffiˉcients.The structure has the advantages of simplicity in implementation and saving in hardware.The computer simulation results showthat the implementation method can meet the practical need.
On Transformation of Classical Theory of Physics by Special Theory of Relativity
CAO Yan(Nantong Vocational and Technical College of Navigation,Nantong226006,China)Newton's concept of absolute space-time could not explain some newexperimental facts at the end of the nineteenth century,therefore,the classical theory of physics was faced with unprecedented crisis.On that basis,Einstein created the Speˉcial Theory of Relativity which transformed the concept of space-time.This paper mainly discusses and analyzes the transformaˉtion of the classical theory of physics caused by the Special Theory of Relativity in this physics transformation.
The Optimum Mode-match of High-power LD End-pumped Nd:YAG/LBO Blue Laser
WEI Qin,WANG Cui-ling,LI Jian (School of Physics and Electronics,Shandong Normal University,Jinan250014,China)The paper,by analyzing Nd:YAG laser crystal quasi-three-level and taking into account the thermo-lensing efˉfect under the condition of LDA high power pumping,adopts the simple plano-concave cavity to enable laser crystal and double crystal to locate in two separate cavities.By using ABCD matrix,the length of cavity,the optimumlocation of laser and double crystal in the cavity are determined,thereby realizing the optimum mode-match of blue laser and ensuring high frequency douˉbling efficiency.
Stock index futures trading strategies based on model ensemble reinforcement learning method
LIU Lei;ZHANG Fengmin;QIAN Cheng;This paper focuses on stock index futures and designs an integrated reinforcement learning quantitative trading strategy based on advantage actor critic(A2C) model and proximal policy optimization(PPO) model. First, the extreme gradient boosting(XGBoost) model is used to select key technical factors as state inputs, and the reward function is designed based on transaction cost optimization. Second, parameter tuning is conducted for both A2C and PPO models to determine key hyperparameters such as the hidden layer structure, learning rate, and batch processing parameters. On this basis, an ensemble model framework is designed, and dynamic selection of base models is achieved by comparing the Sharpe ratios on the validation set. The backtesting results show that the integrated model yielded cumulative returns of 106 766 RMB, 84 739 RMB, and 78 408 RMB, alongside annualized returns of 32.03%,25.42%, and 23.52%, and Sharpe ratios of 1.95, 0.63, and 1.39 for the CSI 300, SSE 50, and CSI 500 indices,respectively, significantly outperforming single A2C and PPO models, as well as benchmark buy-and-hold and momentum strategies. By dynamically blending the distinct advantages of each base model based on validation-set performance, the proposed integrated strategy achieves lower maximum drawdowns and more robust returns amid market volatility. In particular, it can still maintain positive returns during the downward trend of the CSI 500 index,fully validating its risk mitigation capabilities and market adaptability.