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Visible Light Indoor Positioning System Based on Pisarenko Harmonic Decomposition and Neural Network

Chinese Journal of Electronics 2024年第1期33卷 195-203页

作者： Li zhao Yi REN Qi WANG Lange deng Feng ZHANG School of Electronic Information Engineering Xi’an Technological University

Visible-light indoor positioning is a new generation of positioning technology that can be integrated into smart lighting and optical communications. The current received signal strength(RSS)-based visible-light positioning systems struggle to overcome the interferences of background and indoor-reflected noise. Meanwhile, when ensuring the lighting, it is impossible to use the superposition of each light source to accurately distinguish light source information; furthermore, it is difficult to achieve accurate positioning in complex indoor environments. This study proposes an indoor positioning method based on a combination of power spectral density detection and a neural network. The system integrates the mechanism for visible-light radiation detection with RSS theory, to build a back propagation neural network model fitting for multiple reflection channels. Different frequency signals are loaded to different light sources at the beacon end, and the characteristic frequency and power vectors are obtained at the location end using the Pisarenko harmonic decomposition method. Then, a complete fingerprint database is established to train the neural network model and conduct location tests. Finally, the location effectiveness of the proposed algorithm is verified via actual positioning experiments. The simulation results show that, when four groups of sinusoidal waves with different frequencies are superimposed with white noise, the maximum frequency error is 0.104 Hz and the maximum power error is 0.0362 W. For the measured positioning stage, a 0.8 m × 0.8 m × 0.8 m solid wood stereoscopic positioning model is constructed, and the average error is 4.28 cm. This study provides an effective method for separating multi-source signal energies, overcoming background noise, and improving indoor visible-light positioning accuracies.

关键词： Neural networks Measurement uncertainty Position measurement Harmonic analysis Light emitting diodes Frequency estimation Indoor positioning systems

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Performance Improvement of Two-Phase Steam Ejector based on CFD Techniques,Response Surface Methodology and Genetic Algorithm

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Journal of Thermal Science 2024年第2期33卷 675-695页

作者： ZHANG Hao zhao Hongxia ZHANG Xiuao ZENG Hongxuan deng Jianqiang School of Energy and Power Engineering Shandong UniversityJi’nan250061China School of Chemical Engineering and Technology Xi’an Jiaotong UniversityXi’an710049China

The steam ejector is a crucial component in the waste heat recovery *** performance determines the amount of recovered heat and system ***,poor ejector performance has always been the main bottleneck for system ***,this study proposes an optimization methodology to improve the steam ejector's performance by utilizing computational fluid dynamics(CFD) techniques,response surface methodology(RSM),and genetic algorithm(GA).Firstly,a homogeneous equilibrium model(HEM) was established to simulate the two-phase flow in the steam ***,the orthogonal test was presented to the screening of the key decision variables that have a significant impact on the entrainment ratio(ER).Next,the RSM was used to fit a response surface regression model(RSRM).Meanwhile,the effect of the interaction of geometric parameters on the performance of the steam ejector was ***,GA was employed to solve the RSRM's global optimal ER *** results show that the RSRM exhibits a good fit for ER(R^(2)=0.997).After RSM and GA optimization,the maximum ejector efficiency is 27.94%,which is 48.38% higher than the initial ejector of 18.83%.Furthermore,the optimized ejector efficiency is increased by 46.4% on average under off-design ***,the results reveal that the combination of CFD,RSM,and GA presents excellent reliability and feasibility in the optimization design of a two-phase steam ejector.

关键词： two-phase steam ejector optimization methodology CFD techniques response surface methodology genetic algorithm homogeneous equilibrium model

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Identification of reservoir types in deep carbonates based on mixedkernel machine learning using geophysical logging data

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Petroleum Science 2024年第3期21卷 1632-1648页

作者： Jin-Xiong Shi Xiang-Yuan zhao Lian-Bo Zeng Yun-zhao Zhang Zheng-Ping Zhu Shao-qun Dong Key Laboratory of Exploration Technologies for Oil and Gas Resources of the Ministry of Education Yangtze UniversityWuhan4310HubeiChina School of Geosciences Yangtze UniversityWuhan430100HubeiChina College of Geosciences China University of Petroleum(Beijing)Beijing102249China Petroleum Exploration and Production Research Institute of SINOPEC Beijing100083China School of Earth Sciences and Engineering Xi'an Shiyou UniversityXi'an 710065ShaanxiChina

Identification of reservoir types in deep carbonates has always been a great challenge due to complex logging responses caused by the heterogeneous scale and distribution of storage *** cross-plot analysis and empirical formula methods for identifying reservoir types using geophysical logging data have high uncertainty and low efficiency,which cannot accurately reflect the nonlinear relationship between reservoir types and logging ***,the kernel Fisher discriminant analysis(KFD),a kernel-based machine learning technique,attracts attention in many fields because of its strong nonlinear processing ***,the overall performance of KFD model may be limited as a single kernel function cannot simultaneously extrapolate and interpolate well,especially for highly complex data *** address this issue,in this study,a mixed kernel Fisher discriminant analysis(MKFD)model was established and applied to identify reservoir types of the deep Sinian carbonates in central Sichuan Basin,*** MKFD model was trained and tested with 453 datasets from 7 coring wells,utilizing GR,CAL,DEN,AC,CNL and RT logs as input *** particle swarm optimization(PSO)was adopted for hyper-parameter optimization of MKFD *** evaluate the model performance,prediction results of MKFD were compared with those of basic-kernel based KFD,RF and SVM ***,the built MKFD model was applied in a blind well test,and a variable importance analysis was *** comparison and blind test results demonstrated that MKFD outperformed traditional KFD,RF and SVM in the identification of reservoir types,which provided higher accuracy and stronger *** MKFD can therefore be a reliable method for identifying reservoir types of deep carbonates.

关键词： Reservoir type identification Geophysical logging data Kernel Fisher discriminantanalysis Mixedkernel function Deep carbonates

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Hybrid stochastic control strategy by two-layer networks for dissipating urban traffic congestion

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Science China(Information Sciences) 2024年第4期67卷 40-41页

作者： Xiaojing ZHONG Bin PANG Feiqi deng Xueyan zhao School of Mechanical and Electrical Engineering Guangzhou University School of Automation Science and Engineering South China University of Technology

With the rapid development of mobile devices and geographic information systems, social network data have become part of the traffic condition dissemination system,thereby influencing traffic conditions. Current research has indicated that the dissemination of traffic congestion information can partially alleviate congestion problems and thus enhance road transportation efficiency [1].

关键词： Traffic congestion

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Study on the vertical deformations induced by terrestrial water storage changes in Huang-Huai-Hai river basin

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Geodesy and Geodynamics 2024年第4期15卷 352-365页

作者： Liansheng deng Yugang Xiao Qusen Chen Feifei Liao zhao Li School of Electrical and Electronic Information Engineering Hubei Polytechnic UniversityHuangshi 435003China Hubei Luojia Laboratory GNSS Research CenterWuhan UniversityWuhan 430079.China Changjiang Spatial Information Technology Engineering Co. Ltd.Wuhan 430010China

Terrestrial water storage(TWs)variations are associated with water mass movements,which may cause the deformation displacements of the Global Navigation Satellite System(GNSS)*** study investigates the spatio-temporal Tws variations and addresses the relationship between deformation variations observed in the Huang-Huai-Hai River Basin(HHHRB)and local hydrological *** indicate that the vertical velocities at the GNSS stations induced by TWS changes are relatively small,and the impacts of the terrestrial water storage changes are mainly reflected in the changes of seasonal *** there is a downward TWS trend from 2011 to 2022 in most HHHRB areas,velocities from the vertical displacements of both Gravity Recovery and Climate Experiment(GRACE)and GRACE Follow-On(GFO)and the GNSS reflect that the HHHRB is undergoing an uplift process,while the magnitude of the GRACE/GFO derived velocities is much smaller than that of the GNSS *** hydrological deformations estimated from GRACE/GFO and GNSS measurements reveal that the TWS-derived displacements can explain 54.5%of the GNSS seasonal variations,with the phases of terrestrial water storage advancing by about one month relative to GNss common signal ***,the decrease of the groundwater storage in the HHHRB has been accelerating since *** reaching its lowest level around mid-2020,it began to rise rapidly,which might be closely related to the implementation of the South-North Water Transfer Central Project.

关键词： Terrestrial waterstorage GRACE GNSS Vertical deformations Huang-Huai-Hairiverbasin

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Ergothioneine and its congeners:anti-ageing mechanisms and pharmacophore

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Protein & Cell 2024年第3期15卷 191-206页

作者： Li Chen Liping Zhang Xujun Ye Zixin deng Changming zhao Department of Geriatrics Zhongnan Hospital of Wuhan UniversityWuhan UniversityWuhan 430072China Key Laboratory of Combinatory Biosynthesis and Drug Discovery School of Pharmaceutical SciencesMinistry of EducationWuhan UniversityWuhan 430072China tThese authors contributed equally.

Ergothioneine,Ovothiol,and Selenoneine are sulfur/selenium-containing histidine-derived natural products widely distributed across different *** exhibit significant antioxidant properties,making them as potential lead compounds for promoting *** evidence suggests that Ergothioneine is positively correlated with healthy ageing and *** mechanisms underlying Ergothioneine's regulation of the ageing process at cellular and molecular levels are beginning to be *** this review,we provide an in-depth and extensive coverage of the anti-ageing studies on Ergothioneine and discuss its possible intracellular targeting *** addition,we highlight the recent efforts in elucidating the biosynthetic details for Ergothioneine,Ovothiol,and Selenoneine,with a particular focus on the study of their pharmacophore-forming enzymology.

关键词： Ergothioneine antioxidant anti-ageing longevity biosynthesis enzymology

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HIF-1α signaling: Essential roles in tumorigenesis and implications in targeted therapies

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Genes & Diseases 2024年第1期11卷 234-251页

作者： Yan zhao Cheng Xing Yating deng Can Ye Hongling Peng Department of Hematology The Second Xiangya HospitalCentral South UniversityChangshaHunan 410011China Hunan Key Laboratory of Tumor Models and Individualized Medicine The Second Xiangya HospitalCentral South UniversityChangshaHunan 410011China Hunan Engineering Research Center of Cell Immunotherapy for Hematopoietic Malignancies The Second Xiangya HospitalCentral South UniversityChangshaHunan 410011China

The hypoxic microenvironment is an essential characteristic of most malignant ***,hypoxia-inducible factor-1 alpha(HIF-1a)is a key regulatory factor of cellular adaptation to hypoxia,and many critical pathways are correlated with the biological activity of organisms via *** the intra-tumoral hypoxic environment,HIF-1αis highly expressed and contributes to the malignant progression of tumors,which in turn results in a poor prog-nosis in ***,it has been indicated that HiF-1αinvolves in various critical pro-cesses of life events and tumor development via regulating the expression of HiF-1a target genes,such as cell proliferation and apoptosis,angiogenesis,glucose metabolism,immune response,therapeutic resistance,*** from solid tumors,accumulating evidence has re-vealed that HiF-1αis also closely associated with the development and progression of hemato-logical malignancies,such as leukemia,lymphoma,and multiple *** inhibition of HiF-1a can facilitate an increased sensitivity of patients with malignancies to relevant ther-apeutic *** the review,we elaborated on the basic structure and biological functions of HIF-1a and summarized their current role in various *** is expected that they will have future potential fortargeted therapy.

关键词： Angiogenesis Hematological malignancies Hypoxia-inducible factor-1 alpha(HIF-1α) Immune escape Targeted therapy

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The design and engineering strategies of metal tellurides for advanced metal-ion batteries

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Journal of Energy Chemistry 2024年第2期89卷 579-598,I0013页

作者： Wenmiao zhao Xiaoyuan Shi Bo Liu Hiroshi Ueno Ting deng Weitao Zheng Key Laboratory of Automobile Materials of MOE School of Materials Science and EngineeringJilin Provincial International Cooperation Key Laboratory of High-Efficiency Clean Energy MaterialsJilin UniversityChangchun 130012JilinChina Key Laboratory of Polyoxometalate Science of Ministry of Education Northeast Normal UniversityChangchun 130024JilinChina Key Laboratory of Preparation and Application of Environmental Friendly Materials(Jilin Normal University) Ministry of EducationChangchun 130103JilinChina Creative Interdisciplinary Research Division The Frontier Research Institute for Interdisciplinary Sciences(FRIS)Department of ChemistryGraduate School of ScienceTohoku UniversitySendai 980-8578Japan

Owning various crystal structures and high theoretical capacity,metal tellurides are emerging as promising electrode materials for high-performance metal-ion batteries(MBs).Since metal telluride-based MBs are quite new,fundamental issues raise regarding the energy storage mechanism and other aspects affecting electrochemical *** volume expansion,low intrinsic conductivity and slow ion diffusion kinetics jeopardize the performance of metal tellurides,so that rational design and engineering are crucial to circumvent these ***,this review provides an in-depth discussion of recent investigations and progresses of metal tellurides,beginning with a critical discussion on the energy storage mechanisms of metal tellurides in various *** the following,recent design and engineering strategies of metal tellurides,including morphology engineering,compositing,defect engineering and heterostructure construction,for high-performance MBs are *** primary focus is to present a comprehensive understanding of the structural evolution based on the mechanism and corresponding effects of dimension control,composition,electron configuration and structural complexity on the electrochemical *** closing,outlooks and prospects for future development of metal tellurides are *** work also highlights the promising directions of design and engineering strategies of metal tellurides with high performance and low cost.

关键词： Metal tellurides Metal-ion battery Energy storage mechanism Material design and engineering

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Switchable shape memory polymer bio-inspired adhesive and its application for unmanned aerial vehicle landing

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Chinese Journal of Aeronautics 2024年第3期37卷 380-390页

作者： Qingsong HE Zefang zhao Qiyun ZHONG Siyuan LIU Kai deng Yongqi LIU Ning ZHANG Zijie zhao Fengjiang ZHAN Jianfeng zhao Jiangsu Provincial Key Laboratory of Bionic Functional Materials College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China Key Laboratory of Advanced Technology for Small and Medium-Sized UAV Ministry of Industry and Information TechnologyUnmanned Aerial Vehicles Research InstituteNanjing University of Aeronautics and AstronauticsNanjing 210016China State Key Laboratory of Mechanics and Control of Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Functional Morphology and Biomechanics Institute of ZoologyKiel UniversityKiel 24098Germany

Controlled and switchable adhesion is commonly observed in biological *** recent years,many scholars have focused on making switchable bio-inspired ***,making a bio-inspired adhesive with high adhesion performance and excellent dynamic switching properties is still a challenge.A Shape Memory Polymer Bio-inspired Adhesive(SMPBA)was successfully developed,well realizing high adhesion(about 337 kPa),relatively low preload(about90 kPa),high adhesion-to-preload ratio(about 3.74),high switching ratio(about 6.74),and easy detachment,which are attributed to the controlled modulus and contact area by regulating temperature and the Shape Memory Effect(SME).Furthermore,SMPBA exhibits adhesion strength of80–337 kPa on various surfaces(silicon,iron,and aluminum)with different roughness(Ra=0.021–10.280)because of the conformal contact,reflecting outstanding surface *** finite element analysis verifies the bending ability under different temperatures,while the adhesion model analyzes the influence of preload on contact area and ***,an Unmanned Aerial Vehicle(UAV)landing device with SMPBA was designed and manufactured to achieve UAV landing on and detaching from various *** study provides a novel switchable bio-inspired adhesive and UAV landing method.

关键词： Bio-inspired adhesive Shape memory polymers Switchable adhesive Unmanned aerial vehicle Landing

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Rapid development of double-hit mRNA antibody cocktail against orthopoxviruses

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1768-1776页

作者： Hang Chi Suo-qun zhao Ru-Yi Chen Xing-Xing Suo Rong-Rong Zhang Wen-Hui Yang Dong-Sheng Zhou Min Fang Bo Ying Yong-Qiang deng Cheng-Feng Qin State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and EpidemiologyAMMS100071BeijingChina College of Life Sciences Inner Mongolia Agricultural UniversityHohhot010018Inner MongoliaChina School of Life Sciences Henan UniversityKaifeng475004HenanChina Suzhou Abogen Biosciences Co. LtdSuzhou215123JiangsuChina Research Unit of Discovery and Tracing of Natural Focus Diseases Chinese Academy of Medical Sciences100071BeijingChina

The Orthopoxvirus genus,especially variola virus(VARV),monkeypox virus(MPXV),remains a significant public health threat *** development of therapeutic antibodies against orthopoxviruses is largely hampered by the high cost of antibody engineering and manufacturing ***-encoded antibodies have emerged as a powerful and universal platform for rapid antibody ***,by using the established lipid nanoparticle(LNP)-encapsulated mRNA platform,we constructed four mRNA combinations that encode monoclonal antibodies with broad neutralization activities against *** vivo characterization demonstrated that a single intravenous injection of each LNP-encapsulated mRNA antibody in mice resulted in the rapid production of neutralizing *** importantly,mRNA antibody treatments showed significant protection from weight loss and mortality in the vaccinia virus(VACV)lethal challenge mouse model,and a unique mRNA antibody cocktail,Mix2a,exhibited superior in vivo protection by targeting both intracellular mature virus(IMV)-form and extracellular enveloped virus(EEV)-form *** summary,our results demonstrate the proof-of-concept production of orthopoxvirus antibodies via the LNP-mRNA platform,highlighting the great potential of tailored mRNA antibody combinations as a universal strategy to combat orthopoxvirus as well as otheremerging viruses.

关键词： proof universal neutral

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