Athree-dimensional Sm-MOF materials were synthesized by hydrothermal method using 1,4-bis(pyrazol-1-yl)terephthalic acid(H₂L)as ligand and lanthanide metal Smions.A variety of amino acids such as N-acetyl-DL-tryptophan in aqueous solution were detected.The detection limit of N-acetyl-DL-tryptophan was 0.55 μmol/L,showing good sensitivity,high selectivity and recyclability.The LUMO and HOMO of the ligand and N-acetyl-DL-tryptophan were simulated,and the detection mechanism was studied and analyzed.It was speculated that the main reason for the fluorescence enhancement of Sm-MOF by N-acetyl-DL-tryptophan was the donor-acceptor electron transfer mechanism.Overall,the Sm-MOF has broad application and development prospects as a fluorescent detection material.

To determin the related substances in the raw material of berberine hydrochloride by HPLC.A Spherigel C18 chromatographic column(150 mm×4.6 mm,5μm)was used with a mobile phase consisting of 0.02 mol∙L^-1ammonium acetate-acetonitrile solution(70∶30)at the flow rate of 0.6 mL∙min^-1.The detection wavelength was 265 nm，the temperature was 30 ℃,the injection was 10 μL and the detector was ultraviolet detector(UVD).The results showed that under the optimum conditions,the berberine hydrochloride and its related substances could be separated well（R>1.5）.Berberine hydrochloride and its related substances showed a good linear relationship(R²>0.99).The established method is sensitive，effective，reproducible and easy to handle，which can be used for the determinating of the related substances in berberine hydrochloride.

To obtain efficient denitrifying bacteria with heterotrophic nitrification-aerobic denitrification capacity,a heterotrophic nitrifying-aerobic denitrifying strain with efficient denitrification was screened and isolated from the activated sludge of the southern wastewater treatment plant in Shenyang.A strain named Paracoccussp.QD-30.was identified as Paracoccussp.by 16SrRNA gene sequencing.The studied Paracoccus sp.nitrogen removal characteristics of strain QD-30 under different nitrogen sources and the best nitrogen removal conditions under single environmental factors.The maximum removal rates of ammonia nitrogen,nitrite nitrogen and nitrate nitrogen were 87.69%,77.19% and 77.25%,respectively.The optimum denitrification conditions were as follows:sodium succinate as the best carbon source,C/N of 14,temperature of 35 ℃,pH of 7 and rotational speed of 140 r/min.Paracoccus sp.QD-30 is a new type of paracoccus with high denitrification capacity,which has good engineering application prospects in the field of biological denitrification.

Styrene(St)was utilized as a co-monomer，while glycidyl methacrylate(GMA)or maleic anhydride(MAH)was employed as graft monomers.These graft monomers were then blended with polystyrene-ethylene-butylene-styrene(SEBS)and prepared into SEBS-g-(GMA-co-St)，SEBS-g-(MAH-co-St)，and SEBS-g-(GMA/MAH-co-St)graft copolymers using the melt free radical grafting technique.Subsequently，these graft copolymers were utilized as compatibilizers for melt blending with polypropylene(PP)and SEBS，and their effects on the thermal，optical，mechanical properties，and microstructure of the PP/SEBS blends were investigated.The results showed that after introducing SEBS graft copolymers into PP/SEBS blends，the comprehensive properties of the blends increased to varying degrees，and the performance increase was most significant when GMA was used as the graft monomer.SEBS-g-(GMA-co-St)graft copolymer with GMA as the graft monomer greatly improved the compatibility between PP and SEBS，and significantly enhanced the impact toughness of the blends.The impact strength and elongation at break of the blends reached a maximum value，which were 30 165.82 J/m² and 1 482.40%，respectively，exhibiting typical ductile fracture characteristics with folded toughening and multi-layer fracture on the fracture surface，while the tensile strength of the blends remained almost unchanged.In addition，the introduction of the graft copolymer improved the thermal stability of the blends and maintained their high transmittance，showing excellent optical properties.

Perovskite multiferroic thin films Bi_1-xLa_xFeO₃ and BiFe_1-yCo_yO₃ with different La³⁺,Co²⁺ molar content of x/y=0.05,0.10,0.15,0.20 have been fabricated on Pt(111)/Ti/SiO₂/Si(100)substrates through Sol-Gel method and annealed at 550 ℃ for 20 minutes.XRD structural characterization and performance tests of ferroelectric P-U loop,leakage current etc.were carried out.The results showed that the doping of La³⁺ andCo²⁺did not change the crystal structure of BFO,but the doping significantly improved the ferroelectricity and leakage property of the films,especially when the  x and y values were 0.15 respectively,the films Bi_0.85La_0.15FeO₃and BiFe_0.85Co_0.15O₃ both reached the optimal performance.On this basis,Bi_0.85La_0.15Fe_0.85Co_0.15O₃ thin films were prepared.The results showed that the composite doping achieved more ideal results than the single doping,in which the residual polarization 2P_r increases from 0.071 8 C/m² to 0.707 0 mC/m²,and the leakage current density also decreases by an order of magnitude than that of single doping.

整体叶盘；模态分析；固有频率

For a certain aeroengine blade disc-shaft system,a finite element model of the blade disc-shaft system with different distances between shaft and blade discs and different shaft diameters are established.Then the modal analysis is carried out and the natural frequency is calculated.The effects of the relative position of the shaft and the blade disc and the shaft diameter on the natural vibration of the blade disc-shaft system were analyzed.It provides a theoretical basis for the design of system tester in the future.The analysis results indicated that the vibration of the blade disc-shaft system includes three types of modes:blade vibration mode,blade shaft coupling mode and blade disk-shaft coupling mode.With the increase of the distance between the axis and the blade disk,the coupled natural frequency of the 1st order is relatively stable,while the coupled natural frequency of the 2nd order is on the rise.

To effectively improve the fault detection performance of support vector machine(SVM)in industrial processes,a fault detection method of multi-modal process based on multi-model SVM(MM-SVM)was proposed.Firstly,the local probability density method was applied to preprocess the multi-modal data to eliminate the influence of the multi-modal data on fault detection performance.Then,multiple SVM models for fault classification were established by changing the kernel parameters of SVM.Finally,the classification results of multiple SVM models were integrated,and the data category was defined by the probability to achieve effective fault detection.The proposed method was applied to a multi-modal numerical example and the Tennessee-Eastman multi-modal process.Compared with PCA,KPCA and SVM,the experimental results further verify the effectiveness of the proposed method.

An information security simulation platform that simulated a real production environment was bulit.This platform took the control system as the background,instantiates the control system composition and network topology structure of an energy enterprise,simulates the field equipment,and uses S7-1200 PLC as the simulator to build a control system composed of control layer,simulation layer and monitoring layer.On the platform model,the attack effect was restored by using the attack playback technology without affecting the normal production and operation environment of the enterprise.It has achieved the effect of attack tracing,targeted security defense,and active defense,etc.The research results were applied to enterprises to reduce the security risks of enterprise.It has made great contributions to the maintenance of energy system information security.

In view of the drawbacks of the traditional machine learning algorithm,an improved algorithm based on deep learning for diagnosing arrhythmia signal and individual recognition of ECG signal is proposed.By adding an improved CBAM module and combining one-dimensional convolutional neural network with bidirectional LSTM,a new model L-CNN is proposed to diagnose and recognize arrhythmia ECG signals.The experimental results show that the recognition accuracy is 1.23% higher than that of the existing research.Compared with the traditional recognition technology,the recognition technology based on ECG signal has broad application prospect.

A two-wheeled self-balancing vehicle with dual closed-loop PID control was designed.The system uses Arduino Mega2560 single-chip microcomputer as the main control chip and MPU-6050 gyroscope accelerometer sensor to collect vehicle body angle and angular velocity data in real time.The interference is suppressed through complementary filtering algorithm.The upright running control of the car body adopts negative feedback PD control,and the body speed control adopts positive feedback PI control.The main control chip of the balance car changes the motor speed by controlling the motor drive module L298N to adjust the duty cycle of the PWM output.According to the Ziegler-Nichols tuning formula,the initial parameters of PID are obtained,and the PID algorithm model is constructed using simulink and simulated.The simulation results show that the dual closed-loop PID control algorithm used in this paper has good dynamic performance and good anti-interference ability.The results of the physical debugging of the balance car have achieved the goal of the balance car′s upright and balanced operation.

For the problem of stable and continuous power supply for underwater sensor networks,a simulation analysis of the piezoelectric energy harvester of a piezoelectric cantilever built into a flexible tube was carried out.The experiment conducted fluid-structure coupling simulation of the single-energy-harvester,the pre-flexible and rigid bluff bodywere carried out respectively.Then,the piezoelectric coupling and collecting circuit simulation analysis was carried out on the pre-bluffing energy harvester.The results show that the amplitude response of the energyharvester of the front rigid bluff body was greater than that of the front flexible bluff body and the single-energy-trapping structure.When the flow velocity was 1.1 m/s,the L/D was 3~4,the generated amplitude response and voltage amplitude were 0.9 mm and 85 V respectively.At this time,the frequency was 9 Hz,and the energy collection efficiency was 36.18%,which was the highest of the vortex-induced vibration piezoelectric energy harvester.It proved the feasibility of the piezoelectric energy harvester with the piezoelectric cantilever beam built into the flexible tube,and provided a solution for the continuous and stable energy supply of the underwater sensor network.

A license plate location and segmentation algorithm based on multi-feature fusion such as geometry,color and edge was proposed.First of all,in the process of license plate positioning,the method combining feature point detection and morphological processing was used to comprehensively locate the license plate based on its geometry,character texture,color and other characteristics.Secondly,the grayscale projection technology was used to accurately locate the license plate characters.Finally,the gray projection adaptive segmentation method was used for segmentation.The experiment showed that the success rate of localization segmentation was more than 95%,which was obviously higher than other comparison algorithms,and could locate and segment characters more accurately.