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Hybrid magnetic resonance and optoacoustic tomography(MROT) for preclinical neuroimaging

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Light(Science & Applications) 2022年第12期11卷 2961-2971页

作者： Zhenyue Chen Irmak Gezginer Mark-Aurel Augath Wuwei Ren Yu-Hang Liu Ruiqing Ni Xose Luis Dean-Ben Daniel Razansky institute for biomedical engineering and institute of Pharmacology and Toxicology Faculty of MedicineUniversity of ZurichZurichSwitzerland institute for biomedical engineering Department of Information Technology and Electrical EngineeringETH ZurichZurichSwitzerland Zurich Neuroscience Center(ZNZ) ZurichSwitzerland

Multi-modal imaging is essential for advancing our understanding of brain function and unraveling pathophysiological processes underlying neurological and psychiatric *** resonance(MR)and optoacoustic(OA)imaging have been shown to provide highly complementary contrasts and capabilities for preclinical *** integration between these modalities can thus offer unprecedented capabilities for studying the rodent brain in *** report on a hybrid magnetic resonance and optoacoustic tomography(MROT)system for concurrent noninvasive structural and functional imaging of the mouse *** OA tomography was designed as an insert into a high-field MR scanner by integrating a customized MR-compatible spherical transducer array,an illumination module,and a dedicated radiofrequency coil.A tailored data processing pipeline has been developed to mitigate signal crosstalk and accurately register image volumes acquired with T1-weighted,angiography,and blood oxygenation level-dependent(BOLD)sequences onto the corresponding vascular and oxygenation data recorded with the OA *** demonstrate the concurrent acquisition of dual-mode anatomical and angiographic brain images with the scanner,as well as real-time functional readings of multiple hemodynamic parameters from animals subjected to oxygenation *** approach combines the functional and molecular imaging advantages of OA with the superb soft-tissue contrast of MR,further providing an excellent platform for cross-validation of functional readings by the two modalities.

关键词： scanner resonance illumination

Improvement of Deep Groove Ball Bearing’s Performance Using a Bionic Textured Inner Race

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Journal of Bionic engineering 2021年第4期18卷 974-990页

作者： K.E.Ch.Vidyasagar R.K.Pandey Dinesh Kalyanasundaram Center for biomedical engineering Indian Institute of Technology DelhiNew Delhi110016India Department of biomedical engineering College of EngineeringOsmania UniversityHyderabad500007India Department of Mechanical engineering Indian Institute of Technology DelhiNew Delhi110016India Department of biomedical engineering All India Institute of Medical SciencesNew Delhi110029India

Micro-textured surfaces have improved the tribological performance of contact surfaces under lubricated conditions;however,not practiced due to manufacturing *** addition to simpler micro-pits or straight-trench type textures,sophisticated bioinspired textures on commercial radial ball bearings have been scarcely *** this work,Dendroaspis polylepis(Mamba snake)skin-type textures were fabricated on the inner race of FAG radial ball bearings using a nanosecond fiber laser *** the snake textures were primarily meant to enhance friction,the dimensions of the texture have been carefully chosen to improve the tribological performance under lubricated *** textured bearings were assembled and experimented at various rotational speeds and lightly loaded conditions to measure vibrational amplitude,frictional torque,and temperature *** to untextured(conventional)bearing,the snake-skin type textured bearings resulted in improved tribo-dynamic performance.

关键词： bionic texture radial ball bearing frictional torque vibration temperature

A promising approach for quantifying focal stroke modeling and assessing stroke progression:optical resolution photoacoustic microscopy photothrombosis

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Neural Regeneration Research 2025年第7期20卷 2029-2037页

作者： Xiao Liang Xingping Quan Xiaorui Geng Yujing Huang Yonghua Zhao Lei Xi Zhen Yuan Ping Wang Bin Liu Faculty of Health Sciences University of MacaoMacao Special Administrative RegionChina Center for Cognitive and Brain Sciences University of MacaoMacao Special Administrative RegionChina Department of biomedical engineering Southern University of Science and TechnologyShenzhenGuangdong ProvinceChina State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoTaipaMacao Special Administrative RegionChina Department of Emergency Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdong ProvinceChina

To investigate the mechanisms underlying the onset and progression of ischemic stroke,some methods have been proposed that can simultaneously monitor and create embolisms in the animal cerebral ***,these methods often require complex systems and the effect of age on cerebral embolism has not been adequately studied,although ischemic stroke is strongly *** this study,we propose an optical-resolution photoacoustic microscopy-based visualized photothrombosis methodology to create and monitor ischemic stroke in mice simultaneously using a 532 nm pulsed *** observed the molding process in mice of different ages and presented age-dependent vascular embolism ***,we integrated optical coherence tomography angiography to investigate age-associated trends in cerebrovascular variability following a *** imaging data and quantitative analyses underscore the differential cerebrovascular responses to stroke in mice of different ages,thereby highlighting the technique's potential for evaluating cerebrovascular health and unraveling age-related mechanisms involved in ischemic strokes.

关键词： age-dependent cerebral cortex ischemic stroke mouse model optical coherence tomography angiography photoacoustic microscopy photothrombosis vascular imaging

Method for Fault Diagnosis and Speed Control of PMSM

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Computer Systems Science & engineering 2023年第6期45卷 2391-2404页

作者： Smarajit Ghosh Department of Electrical and instrumentation engineering Thapar Institute of Engineering&TechnologyPatialaPunjabIndia

In the field of fault tolerance estimation,the increasing attention in electrical motors is the fault detection and *** tasks performed by these machines are progressively complex and the enhancements are likewise looked for in the field of fault *** has now turned out to be essential to diagnose faults at their very inception;as unscheduled machine downtime can upset deadlines and cause heavy financial *** this paper,fault diagnosis and speed control of permanent magnet synchronous motor(PMSM)is *** Neural Network(ENN)is used to diagnose the fault of permanent magnet synchronous *** the fault location and fault severity are *** this,eccentricity fault may occur in the *** control the speed of the permanent magnet synchronous motor,Dolphin Swarm Optimization(DSO)algorithm is *** proposed work is simulated by using MATLAB in terms of amplitude,speed and *** comparison graph of speed *** obtained by the proposed method gives better result compared to the other existing *** proposed work is also compared with Particle Swarm Optimization(PSO)and Elephant Herding Optimization(EHO)*** proposed usage of Elman Neural Network to detect the fault and the usage of Dolphin Swarm Optimization algorithm to control the speed of the permanent magnet synchronous motor gives better outcome.

关键词： Amplitude electricmotor elephant herding optimization algorithm fault detection partial swarm optimization algorithm permanent magnet synchronous motor

Nonlinear flexural waves and chaos behavior in finite-deflection Timoshenko beam

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Applied Mathematics and Mechanics(English Edition) 2010年第11期31卷 1347-1358页

作者：张善元刘志芳 institute of Applied Mechanics and biomedical engineering Taiyuan University of Technology

Based on the Timoshenko beam theory, the finite-deflection and the axial inertia are taken into account, and the nonlinear partial differential equations for flexural waves in a beam are derived. Using the traveling wave method and integration skills, the nonlinear partial differential equations can be converted into an ordinary differential equation. The qualitative analysis indicates that the corresponding dynamic system has a heteroclinic orbit under a certain condition. An exact periodic solution of the nonlinear wave equation is obtained using the Jacobi elliptic function expansion. When the modulus of the Jacobi elliptic function tends to one in the degenerate case, a shock wave solution is given. The small perturbations are further introduced, arising from the damping and the external load to an original Hamilton system, and the threshold condition of the existence of the transverse heteroclinic point is obtained using Melnikov＇s method. It is shown that the perturbed system has a chaotic property under the Smale horseshoe transform.

关键词： Timoshenko beam finite-deflection shock wave chaos motion Jacobi elliptic function expansion Melnikov function

Multiobjective optimization of neural network

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Science China Chemistry 1995年第8期38卷 971-978页

作者：王继成吕维雪 biomedical engineering institute Zhejiang UniversityHangzhou 310027China

A theoretical model of multiobjective optimization neural network (MONN) and a new learningalgorithm are *** results show their effectiveness and advantage.

关键词： neural network multiobjective optimization network optimization learning algorithm

Investigation of oil-air two-phase mass flow rate measurement using Venturi and void fraction sensor

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Journal of Zhejiang University-Science A(Applied Physics & engineering) 2005年第6期6卷 601-606页

作者：张宏建岳伟挺黄志尧 institute of Automation instrumentation Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China

Oil-air two-phase flow measurement was investigated with a Venturi and void fraction meters in this work. This paper proposes a new flow rate measurement correlation in which the effect of the velocity ratio between gas and liquid was considered. With the pressure drop across the Venturi and the void fraction that was measured by electrical capacitance tomography apparatus, both mixture flow rate and oil flow rate could be obtained by the correlation. Experiments included bubble-, slug-, wave and annular flow with the void fraction ranging from 15% to 83%, the oil flow rate ranging from 0.97 kg/s to 1.78 kg/s, the gas flow rate ranging up to 0.018 kg/s and quality ranging nearly up to 2.0%. The root-mean-square errors of mixture mass flow rate and that of oil mass flow rate were less than 5%. Furthermore, coefficients of the correlation were modified based on flow regimes, with the results showing reduced root-mean-square errors.

关键词： Oil-air two-phase flow rate Venturi Void fraction Flow regime Electrical capacitance tomography

Air Quality Predictions in Urban Areas Using Hybrid ARIMA and Metaheuristic LSTM

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Computer Systems Science & engineering 2022年第12期43卷 1271-1284页

作者： S.Gunasekar G.Joselin Retna Kumar G.Pius Agbulu Department of Electronics and instrumentation engineering SRM Institute of Science and TechnologyChennai603203TamilnaduIndia

Due to the development of transportation, population growth and industrial activities, air quality has become a major issue in urban areas. Poor air qualityleads to rising health issues in the human’s life in many ways especially respiratory infections, heart disease, asthma, stroke and lung cancer. The contaminatedair comprises harmful ingredients such as sulfur dioxide (SO2), nitrogen dioxide(NO2), and particulate matter of PM10, PM2.5, and an Air Quality Index (AQI).These pollutant ingredients are very harmful to human’s health and also leads todeath. So, it is necessary to develop a prediction model for air quality as regularon the basis of monthly or seasonaly. In this work, a new hybrid model for airquality prediction (AQP) is developed by using reed deer metaheuristic optimizedLong Short Term Memory (LSTM) Deep Learning network. To overcome thedrawback of the existing autoregressive integrated moving average model(ARIMA) model, the residual errors are processed by using an optimized LSTMnetwork. The red deer optimization (RDO) is a new type of metaheuristic methodwhich is motivated by the mating behaviour of Red Deer. The proposed model isbetter in terms of all prediction performance parameters when compared withother models.

关键词： Air quality prediction ARIMA RDO

Parallel Fuzzy P+Fuzzy I+Fuzzy D Controller:Design and Performance Evaluation

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International Journal of Automation and computing 2010年第4期7卷 463-471页

作者： Vineet Kumar A.P.Mittal Department of instrumentation and Control engineering Netaji Subhash Institute of TechnologySector-3

In this paper, a parallel fuzzy proportional plus fuzzy integral plus fuzzy derivative （FP＋FI＋FD） controller is proposed. It is derived from the conventional parallel proportional-integral-derivative （PID） controller. It preserves the linear structure of a conventional parallel PID controller, with analytical formulas. The final shape of the controller is a discrete-time fuzzy version of a conventional parallel PID controller. Computer simulations are performed to evaluate the performance of the FP＋FI＋FD controller for setpoint tracking and load-disturbance rejection for some complex processes, such as first- and second-order processes with delay, inverse response process with and without delay and higher order processes. Also, the performance of the proposed fuzzy controller is evaluated experimentally on highly nonlinear liquid-flow process with a hysteresis characteristic due to a pneumatic control valve. The simulation and real time control is done using National InstrumentTM hardware and software （LabVIEWTM）. The response of the FP＋FI＋FD controller is compared with the conventional parallel PID controller, tuned with the Ziegler-Nichols （Z-H） and /~strSm- H^gglund （A-H） tuning technique. It is observed that the FP＋FI＋FD controller performed much better than the conventional PI/PID controller. Simulation and experimental results demonstrate the effectiveness of the proposed parallel FP＋FI＋FD controller.

关键词： Proportional-integral-derivative (PID) fuzzy proportional plus fuzzy integral plus fuzzy derivative (FP+FI+FD) controller liquid-flow process inverse response process dead time.