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Performance of pulsed plasma thruster at low discharge energy

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Plasma Science and Technology 2024年第4期26卷 122-132页

作者：李鸿俊林泽豪胡浩俊吴文东陈爱虹杜德扬 Department of Physics Faculty of ScienceUniversity of MalayaKuala Lumpur 50603Malaysia Faculty of Engineering The University of Nottingham Malaysia CampusSemenyih 43500Malaysia Faculty of Engineering Multimedia UniversityCyberjaya 63100Malaysia

As the size of satellites scales down, low-power and compact propulsion systems such as the pulsed plasma thruster(PPT) are needed for stabilizing these miniature satellites in orbit. Most PPT systems are operated at 2 J or more of discharge energy. In this work, the performance of a PPT with a side-fed, tongue-flared electrode configuration operated within a lower discharge energy range of 0.5-2.5 J has been investigated. Ablation and charring of the polytetrafluoroethylene propellant surface were analyzed through field-effect scanning electron microscopy imaging and energy-dispersive X-ray spectroscopy. When the discharge energy fell below 2 J, inconsistencies occurred in the specific impulse and the thrust efficiency due to the measurement of the low mass bit. At energy ≥2 J, the performance parameters are compared with other PPT systems of similar configuration and discussed in depth.

关键词： pulsed plasma thruster low discharge energy performance parameters

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Intravitreal aflibercept in neovascular age-related macular degeneration previously treated with ranibizumab

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International Journal of Ophthalmology(English edition) 2017年第3期10卷 423-426页

作者： Rachel hui Fen lim Bhaskar Gupta Peter Simcock Royal Devon and Exeter NHS Foundation Trust BarrackRoad Exeter EX2 5DW United Kingdom

AIM：To report the change in visual acuity and central macular thickness（CMT）following treatment with intravitreal aflibercept injections in patients with neovascular agerelated macular degeneration（n AMD）with suboptimum response to ***：This was a retrospective study. The inclusion criteria were patients with n AMD who responded poorly to ranibizumab. Patients then received either 3 consecutive aflibercept injections followed by pro re nata（PRN）treatment or PRN alone. Primary endpoints were mean change in bestcorrected visual acuity（BCVA）and CMT at 12 mo. Secondary endpoints were number of injections and adverse ***：Forty-nine eyes from 49 patients met the inclusion criteria and completed 12-month follow up on aflibercept. Thirty-eight eyes received 3 consecutive aflibercept injections followed by PRN treatment and 11 eyes received PRN injections alone. At 12 mo,mean BCVA improved by one letters（log MAR 0.56±0.31 to 0.54±0.34）and mean CMT decreased from 303.9±82.1 to 259.2±108.3 μ*** percent of eyes gained 15 letters or more,6% lost more than 15 letters and the remaining 90% had stable BCVA. The mean number of aflibercept injections was *** was one case of infectious ***：Intravitreal aflibercept in patients with n AMD with a previous suboptimal response to ranibizumab resulted in an anatomical improvement in macular appearance at 12 mo without a corresponding improvement in visual acuity.

关键词： aflibercept ranibizumab neovascular agerelated macular degeneration

Hybrid SDS and WPT-IBBO-DNM Based Model for Ultra-short Term Photovoltaic Prediction

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CSEE Journal of Power and Energy Systems 2023年第1期9卷 66-76页

作者： hui Hwang Goh Qinwen Luo Dongdong Zhang hui Liu Wei Dai Chee Shen lim Tonni Agustiono Kurniawan Kai Chen Goh School of Electrical Engineering Guangxi UniversityNanningGuangxi 530004China University of Southampton Malaysia Iskandar Puteri 79200Malaysia College of the Environment and Ecology Xiamen UniversityFujian 361102China Department of Technology Management Faculty of Construction Management and BusinessUniversity Tun Hussein Onn Malaysia86400 Parit RajaJohorMalaysia

Accurate photovoltaic(PV)power prediction has been a subject of ongoing study in order to address grid stability concerns caused by PV output unpredictability and *** paper proposes an ultra-short-term hybrid photovoltaic power forecasting method based on a dendritic neural model(DNM)in this *** model is trained using improved biogeography-based optimization(IBBO),a technique that incorporates a domestication operation to increase the performance of classical biogeography-based optimization(BBO).To be more precise,a similar day selection(SDS)technique is presented for selecting the training set,and wavelet packet transform(WPT)is used to divide the input data into many *** is then used to train DNM weights and thresholds for each component ***,each component’s prediction results are stacked and *** suggested hybrid model is used to forecast PV power under various weather conditions using data from the Desert Knowledge Australia Solar Centre(DKASC)in Alice *** results indicate the proposed hybrid SDS and WPT-IBBO-DNM model has the lowest error of any of the benchmark models and hence has the potential to considerably enhance the accuracy of solar power forecasting(PVPF).

关键词： Dendritic neural model improved biogeography-based optimization photovoltaic power forecasting similar day selection wavelet packet transform

Hybrid quantum-classical convolutional neural networks

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Science China(Physics,Mechanics & Astronomy) 2021年第9期64卷 1-8页

作者： Junhua Liu Kwan hui lim Kristin LWood Wei Huang Chu Guo He-Liang Huang Information Systems Technology and Design Singapore University of Technology and DesignSingapore 487372Singapore Forth AI Singapore 487372Singapore College of Engineering Design and ComputingUniversity of Colorado DenverColorado 80208USA Guangxi Key Laboratory of Optoelectronic Information Processing Guilin University of Electronic TechnologyGuilin 541004China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and ApplicationsHunan Normal UniversityChangsha 410081China Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Shanghai Branch CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information and Quantum PhysicsUniversity of Science and Technology of ChinaHefei 201315China Henan Key Laboratory of Quantum Information and Cryptography Zhengzhou 450000China

Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or *** parallel,quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operations,which could generate distributions that are hard for a classical computer to *** we propose a hybrid quantum-classical convolutional neural network(QCCNN),inspired by convolutional neural networks(CNNs)but adapted to quantum computing to enhance the feature mapping *** is friendly to currently noisy intermediate-scale quantum computers,in terms of both number of qubits as well as circuit’s depths,while retaining important features of classical CNN,such as nonlinearity and *** also present a framework to automatically compute the gradients of hybrid quantum-classical loss functions which could be directly applied to other hybrid quantum-classical *** demonstrate the potential of this architecture by applying it to a Tetris dataset,and show that QCCNN can accomplish classification tasks with learning accuracy surpassing that of classical CNN with the same structure.

关键词： quantum computing quantum machine learning hybrid quantum-classical algorithm convolutional neural network

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Exploiting plant transcriptomic databases:Resources,tools,and approaches

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Plant Communications 2022年第4期3卷 1-13页

作者： peng Ken lim Xinghai Zheng Jong Ching Goh Marek Mutwi School of Biological Sciences Nanyang Technological University60 Nanyang DriveSingapore 637551Singapore

There are now more than 300000 RNA sequencing samples available,stemming from thousands of exper-iments capturing gene expression in organs,tissues,developmental stages,and experimental treatments for hundreds of plant *** expression data have great value,as they can be re-analyzed by others to ask and answer questions that go beyond the aims of the study that generated the *** gene expression provides essential clues to where and when a gene is active,the data provide powerful tools for predicting gene function,and comparative analyses allow us to study plant evolution from a new *** review describes how we can gain new knowledge from gene expression profiles,expres-sion specificities,co-expression networks,differential gene expression,and experiment *** also introduce and demonstrate databases that provide user-friendly access to these tools.

关键词： gene expression comparative transcriptomics gene function co-express ion differential expr ession databases

Characterization of Ga-doped ZnO Nanorods Synthesized via Microemulsion Method

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Journal of Materials Science & Technology 2013年第1期29卷 39-43页

作者： Sang Kyoo lim Seong hui Hong Sung-Ho Hwang Soonhyun Kim Hyunwoong Park Division of Nano & Bio Technology Daegu Gyeongbuk Institute of Science and Technology (DGIST) School of Energy Engineering Kyungpook National University

Gallium-doped ZnO （GZO） nanorods were synthesized by microemulsion method with different types of surfactants. The phase and morphology of the above nanorods were investigated by scanning electron microscopy （SEM）, X-ray diffraction （XRD）, high resolution transmission electron microscopy （HR-TEM） and X-ray photoelectron spectroscopy （XPS）. SEM observations show that the ZnO nanorods have diameters around 70-200 nm and lengths up to several micrometers. The room temperature photoluminescence （PL） spectrum of GZO nanorods exhibited a sharp and strong ultraviolet bandgap at 383 nm and a relatively weaker emission associated with the defect level. Resistivity of GZO nanorods synthesized with sodium lauryl sulfate （SLS） and sodium benzene sulfonate （SBS） surfactants showed 2.84 Ω m and 14.2 Ω m, respectively.

关键词： Zinc oxide Nanorod Microemulsion Gallium Surfactants

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Online AUV Path Replanning Using Quantum-Behaved Particle Swarm Optimization with Selective Differential Evolution

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Computer Modeling in Engineering & Sciences 2020年第10期125卷 33-50页

作者： hui Sheng lim Christopher K.H.Chin Shuhong Chai Neil Bose National Centre for Maritime Engineering and Hydrodynamics Australian Maritime CollegeUniversity of TasmaniaLauncestonTAS7250Australia Memorial University of Newfoundland St.John’sNLA1C 5S7Canada

This paper presents an online AUV(autonomous underwater vehicle)path planner that employs path replanning approach and the SDEQPSO(selective differential evolution-hybridized quantum-behaved particle swarm optimization)algorithm to optimize an AUV mission conducted in an unknown,dynamic and cluttered ocean *** proposed path replanner considered the effect of ocean currents in path optimization to generate a Pareto-optimal path that guides the AUV to its target within minimum *** optimization was based on the onboard sensor data measured from the environment,which consists of a priori unknown dynamic obstacles and spatiotemporal *** sensor arrangements for the forward-looking sonar and horizontal acoustic Doppler current profiler(H-ADCP)were considered in 2D and 3D *** on the simulation results,the SDEQPSO path replanner was found to be capable of generating a time-optimal path that offered up to 13%reduction in travel time compared to the situation where the vehicle simply followed a path with the shortest *** proposed replanning technique also showed consistently better performance over a reactive path planner in terms of solution quality,stability,and computational *** of the replanner was verified under stochastic process using the Monte Carlo *** generated path fulfilled the vehicle’s safety and physical constraints,while intelligently exploiting ocean currents to improve the vehicle’s efficiency.

关键词： Autonomous underwater vehicle path planning particle swarm optimization sonar detection Monte Carlo methods

Nutritional and therapeutic benefits of coconut milk and its potential as a plant-based functional yogurt alternative: a review

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Food Science and Human Wellness 2024年

作者： Gengghatarani Gengan Nurul Solehah Mohd Zaini Nazamid Saari Anis Shobirin Meor Hussin Ahmad Haniff Jaafar Hanan Hasan Elicia Jitming lim Wan Abd Al Qadr Imad Wan-Mohtar Muhamad Hafiz Abd Rahim Functional Omics and Bioprocess Development Laboratory， Institute of Biological Sciences， Faculty of Science， Universiti Malaya Faculty of Food Science and Technology， Universiti Putra Malaysia School of Life and Environmental Sciences， The University of Sydney

Plant-based milks are on the rise due to an increased awareness of their sustainability and health benefits. Currently， dairy milk is the most nutritionally complete beverage， but it suffers from the presence of indigestible lactose and allergenic proteins. Coconut milk has been around for a long time， but its application is limited due to a perceived lack of specific nutrients， high saturated fat levels， and low acceptability. Recent evidence indicates， however， that the saturated fat and other plant-based components found in coconut milk are good for metabolic outcomes and brain health. The conversion of coconut milk to yoghurt will further improve its functionality by boosting its existing nutritional qualities. In this article， the nutritional value of coconut milk， as well as its potential downsides， its application as yoghurt， and suggestions for enhancing its nutritional functionality will be examined.

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Hierarchical TiO2-B nanowire@α-Fe2O3 nanothorn core-branch arrays as superior electrodes for lithium-ion microbatteries

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Nano Research 2014年第12期7卷 1797-1808页

作者： hui Xia Wen Xiong Chiew Keat lim Qiaofeng Yao Yadong Wang Jianping Xie School of Materials Science and Engineering Nanjing University of Science and Technology Nanjing 210094 China Herbert Gleiter Institute of Nanoscience Nanjing University of Science and Technology Xiaolingwei 200 Nanjing 210094 China School of Engineering Nanyang Polytechnic 180 Ang Mo Kio Ave 8 Singapore 569830 Department of Chemical & Biomolecular Engineering Faculty of Engineering National University of Singapore Singapore 117585

This paper reports a simple yet efficient method for the synthesis of hierarchical TiO2-B nanowire@α-Fe2O3 nanothorn core-branch arrays based on a stepwise hydrothermal approach. The as-fabricated hybrid arrays show impressive performance as a high-capacity anode for lithium-ion batteries. The key design in this study is a core-branch hybrid architecture, which not only provides large surface active sites for lithium ion insertion/extraction, but also enables fast charge transport owing to the reduced diffusion paths for both electrons and lithium ions. The peculiar combination of attributes of TiO2 （good structural stability） and Fe2O3 （large specific capacity） provides the hybrid array electrodes with several desirable electrochemical features： large reversible capacity （-800 mA.h.g^-1 for specific mass capacity and -750 μA.h-cm^-2 for specific areal＂ capacity）, good cycling stability, and high rate capability. The impressive electrochemical performance, together with the facile synthesis procedure, may provide an efficient platform to integrate the TiO2 nanowire@Fe2O3 nanothorn core-branch arrays as a three-dimensional thin film electrode for lithium-ion microbatteries.

关键词： TiO2-B Fe2O3 nanowire arrays hierarchicalhybrid microbatteries