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Development of Chinese herbal medicine for sensorineural hearing loss

Acta Pharmaceutica Sinica B 2024年第2期14卷 455-467页

作者： Yunhao Wu Jingwen zhang Qiuping Liu Zhuang Miao Renjie Chai Wenyong Chen State Key Laboratory of Bioelectronics Department of Otolaryngology Head and Neck SurgeryZhongda HospitalSchool of Life Sciences and TechnologyAdvanced Institute for Life and HealthJiangsu Province HighTech Key Laboratory for Bio-Medical ResearchSoutheast UniversityNanjing 210096China Department of Otolaryngology-Head and Neck the Second Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhou 510120China Department of Otolaryngology-Head and Neck Surgery Affiliated Hospital of Jiangnan UniversityWuxi 214000China Department of Otolaryngology Head and Neck Surgery Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengdu 610000China Co-Innovation Center of Neuroregeneration Nantong UniversityNantong 226001China Institute for Stem Cell and Regeneration Chinese Academy of ScienceBeijing 100085China Beijing Key Laboratory of Neural Regeneration and Repair Capital Medical UniversityBeijing 100069China

According to the World Health Organization’s world report on hearing,nearly 2.5 billion people worldwide will suffer from hearing loss by 2050,which may contribute to a severe impact on individual life quality and national *** hearing loss(SNHL)occurs commonly as a result of noise exposure,aging,and ototoxic drugs,and is pathologically characterized by the impairment of mechanosensory hair cells of the inner ear,which is mainly triggered by reactive oxygen species accumulation,inflammation,and mitochondrial *** recent advances have been made in understanding the ability of cochlear repair and regeneration,there are still no effective therapeutic drugs for *** herbal medicine which is widely distributed and easily accessible in China has demonstrated a unique curative effect against SNHL with higher safety and lower cost compared with Western *** we present trends in research for Chinese herbal medicine for the treatment of SNHL,and elucidate their molecular mechanisms of action,to pave the way for further research and development of novel effective drugs in this field.

关键词： Sensorineural hearing loss Chinese herbal medicine Molecular mechanism Active ingredients Prescriptions Ototoxic drugs Noise Hair cells

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The Application of Extended Reality in Treating Children with Autism Spectrum Disorder

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Neuroscience Bulletin 2024年第8期40卷 1189-1204页

作者： Weijia Zhao Song Xu Yanan zhang Dandan Li Chunyan Zhu Kai Wang First Clinical Medical College Anhui Medical UniversityHefei 230032China School of Biomedical Engineering Anhui Medical UniversityHefei 230032China School of Mental Health and Psychological Sciences Anhui Medical UniversityChinaHefei 230032China Research Center for Translational Medicine The Second Hospital of Anhui Medical UniversityHefei 230000China Department of Neurology The First Affiliated Hospital of Anhui Medical UniversityHefei 230032China Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health Hefei 230032China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders Hefei 230032China

Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped *** intervention methods have limitations,such as requiring long treatment periods and needing to be more convenient to *** Reality(XR)technology offers a virtual environment to enhance children's social,communication,and self-regulation *** paper compares XR theoretical models,application examples,and intervention *** study reveals that XR intervention therapy is mainly based on cognitive rehabilitation,teaching,and social-emotional learning *** utilizes algorithms,models,artificial intelligence(AI),eye-tracking,and other technologies for interaction,achieving diverse intervention *** showed effective improvement in competency barriers using XR-based multimodal interactive ***,Mixed Reality(MR)technology still requires further *** research should explore multimsodal interaction technologies combining XR and AI,optimize models,prioritize the development of MR intervention scenarios,and sustain an optimal intervention level.

关键词： Autism spectrum disorde Extended reality Multimodal interaction technologies Intervention model Treatment effectiveness evaluation

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An edge computing-based embedded traffic information processing approach: application of deep learning in existing traffic systems

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Optoelectronics Letters 2024年第10期20卷 623-628页

作者： PING Haoyu MA Yongjie ZHU Guangya zhang Jiaqi School of Physics and Electronic Engineering Northwest Normal University

To address traffic congestion, this study improves Mobile Netv2-you only look once version 4(YOLOv4) target detection algorithm(Mobile Netv2-YOLOv4-K++F) and introduces an embedded traffic information processing solution based on edge computing. We transition models initially designed for large-scale graphics processing units(GPUs) to edge computing devices, maximizing the strengths of both deep learning and edge computing technologies. This approach integrates embedded devices with the current traffic system, eliminating the need for extensive equipment updates. The solution enables real-time traffic flow monitoring and license plate recognition at the edge, synchronizing instantaneously with the cloud, allowing for intelligent adjustments of traffic signals and accident forewarnings, enhancing road utilization, and facilitating traffic flow optimization. Through on-site testing using the RK3399PRO development board and the Mobile Netv2-YOLOv4-K++F object detection algorithm, the upgrade costs of this approach are less than one-tenth of conventional methods. Under favorable weather conditions, the traffic flow detection accuracy reaches as high as 98%, with license plate recognition exceeding 80%.

关键词： A

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Design of multi-section luffing apple pruning equipment and cutting test of the key components

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 109-117页

作者： Siyuan Tong Wenbin Li Yaxiong Wang Lei zhang Feng Kang School of Technology Beijing Forestry UniversityKey Lab of State Forestry and Grassland Administration for Forestry Equipment and AutomationBeijing 100083China

In order to reduce the labor intensity and improve the efficiency of pruning,this study designed a multi-section luffing apple pruning equipment suitable for apple orchards in hilly and mountainous areas of *** the essay,the structure and working principle of the equipment are expounded,the cutter was analyzed,and the parameters were *** the self-made test bench to simulate the field experiment,this study selected the ratio of cutting speed to feeding speed and feeding speed as the influencing factors and took the cut-off rate,cutting efficiency and cutting power as the objectives to carry out single factor experiment and quadratic regression orthogonal *** test results show that the cutting power increases with the increase of ratio of cutting speed to feeding speed,and the cut-off rate and cutting efficiency first increase and then *** the feeding speed increases,the cutting efficiency and power increase,and the cut-off rate *** the cutoff rate was greater than 80%,the optimal combination of operating parameters was the feeding speed of 0.55 m/s and ratio of cutting speed to feeding speed of *** this combination,the cut-off rate was 84.9%,the cutting efficiency was 13.1,and the cutting power was 175.7 *** error between the predicted target value of the model and the average measured target value was less than 7%,so the test results are *** to the obtained optimal operating parameters,the actual cutting experiment of the pruning equipment in the field was carried out,and the cutting rate was 96.3%,which meet the design *** study can also meet the needs of mechanized pruning of fruit trees with different crown shapes,improve the applicability of pruning equipment,and provide support for the development of mechanized pruning equipment in China.

关键词： apple pruning equipment cutting test optimal parameters regression analysis

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Conditions for the enrichment of karst hydrothermal resources in Bohai Bay Basin

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Energy Geoscience 2024年第1期5卷 172-183页

作者： Pengwei Li Zhiliang He Zongquan Hu Ying zhang Jianyun Feng Petroleum Exploration and Production Research Institute SINOPECBeijing100083China SINOPEC Beijing100728China

Drilling for karst hydrothermal resources in eastern China has posed challenges,including disparities between the temperature and yield of geothermal *** is evident that relying solely on geothermal anomalies or indications of karst reservoirs is inadequate for the exploration of karst hydrothermal *** study seeks to elucidate the cause of geothermal sweet spots by analyzing the interplay between geothermal anomalies and karst reservoirs and the underlying geological conditions for karst hydrothermal *** findings include:(1)the Bohai Bay Basin has been geologically favorable for the development of karst hydrothermal resources since the Mesozoic era;(2)the karst hydrothermal enrichment varies significantly between the basin’s margin and its *** the basin margin,the enrichment is largely driven by groundwater activity and faults,particularly where faults facilitate the upwelling of geothermal *** contrast,within the basin’s interior,karst hydrothermal resources are predominantly influenced by buried hills and are especially enriched in areas facilitating the discharge of deep geothermal waters.

关键词： Buried hill Karst hydrothermal resources Enrichment regularity Bohai bay basin

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Synergistic Dual Dynamic Bonds in Covalent Adaptable Networks

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CCS Chemistry 2024年第1期6卷 41-56页

作者： Jun Zhao Zhaoming zhang Chunyu Wang Xuzhou Yan School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative MoleculesShanghai Jiao Tong UniversityShanghai

Covalent adaptable networks(CANs),comprising polymer networks crosslinked by dynamic covalent bonds(DCBs),have garnered considerable attention as sustainable *** the stress relaxation of CANs is essential for controlling their viscoelastic *** unexpected acceleration of stress relaxation has been observed in CANs containing dual dynamic *** dynamic behavior of the second dynamic bonds can accelerate stress relaxation and lower the relaxation activation energy of dual dynamic CANs compared to analogous CANs that rely on only one type of *** findings complement current approaches that utilize catalysts or adjust network *** this minireview,we summarize the synergistic acceleration effects in various CANs containing dual dynamic *** classify these effects based on the second dynamic bonds,including noncovalent bonds,mechanical bonds,and the second *** also discuss the mechanisms behind this ***,we highlight the challenges and offer perspectives on harnessing the synergistic effects of these dual dynamic systems to expand the chemistry and applications of CANs.

关键词： covalent adaptable networks dynamic covalent bonds dynamic materials stress relaxation synergistic effect

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Energy Efficiency Maximization in Mobile Edge Computing Networks via IRS assisted UAV Communications

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1865-1884页

作者： Ying zhang Weiming Niu Supu Xiu Guangchen Mu School of Electronic Information Engineering Henan Institute of TechnologyXinxiang453003China Houde College Henan Institute of TechnologyXinxiang453003China Department of Science Henan Institute of TechnologyXinxiang453003China

In this paper,we investigate the energy efficiency maximization for mobile edge computing(MEC)in intelligent reflecting surface(IRS)assisted unmanned aerial vehicle(UAV)*** particular,UAVcan collect the computing tasks of the terrestrial users and transmit the results back to them after *** jointly optimize the users’transmitted beamforming and uploading ratios,the phase shift matrix of IRS,and the UAV trajectory to improve the energy *** formulated optimization problem is highly non-convex and difficult to be solved ***,we decompose the original problem into three *** first propose the successive convex approximation(SCA)based method to design the beamforming of the users and the phase shift matrix of IRS,and apply the Lagrange dual method to obtain a closed-form expression of the uploading *** the trajectory optimization,we propose a block coordinate descent(BCD)based method to obtain a local optimal ***,we propose the alternating optimization(AO)based overall algorithmand analyzed its complexity to be equivalent or lower than existing *** results show the superiority of the proposedmethod compared with existing schemes in energy efficiency.

关键词： Mobile edge computing(MEC) unmanned aerial vehicle(UAV) intelligent reflecting surface(IRS) energy efficiency

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Model for estimating the weight-loss ratio of damaged Korla fragrant pears

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 261-266页

作者： Yang Liu Yurong Tang Hong zhang Hao Niu Haipeng Lan College of Mechanical and Electrical Engineering Tarim UniversityAlaer 843300XinjiangChina College of Water Resources and Architectural Engineering Tarim UniversityAlaer 843300XinjiangChina

To predict the weight-loss ratio of Korla fragrant pears effectively,improve commodity value and study the variation laws of the weight-loss ratio of damaged fragrant pears during storage,this study predicted the weight-loss ratio of fragrant pears by utilizing the generalized regression neural network(GRNN),support vector regression(SVR),partial least squares regression(PLSR)and error back propagation neural network(BPNN).The prediction performances of GRNN,SVR,PLSR and BPNN models were compared comprehensively,and the optimal model was *** addition,the optimal prediction model was *** results show that weight-loss ratio of fragrant pears increases gradually with the extension of storage *** storage,the weight-loss ratio of fragrant pears is positively related to the degree of *** trained GRNN,SVR,PLSR and BPNN models can be used to predict the weight-loss ratio of fragrant *** BPNN model is the most accurate in predicting the weight-loss ratio of damaged fragrant pears(R^(2)=0.9929;RMSE=0.2138).It has also been proved to have good predictive effect in production practice(R^(2)=0.9377,RMSE=0.7138).The research findings can provide references to predict the delivery quality and time of delivery of Korla fragrant pears.

关键词： Korla fragrant pears weight-loss ratio damages storage time

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Revealing excited states of rotational Bose-Einstein condensates

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The Innovation 2024年第1期5卷 41-48页

作者： Jianyuan Yin Zhen Huang Yongyong Cai Qiang Du Lei zhang School of Mathematical Sciences Laboratory of Mathematics and Applied MathematicsPeking UniversityBeijing 100871China Department of Mathematics National University of SingaporeSingapore 119076Singapore Department of Mathematics University of CaliforniaBerkeleyBerkeleyCA 94720USA School of Mathematical Sciences Beijing Normal UniversityBeijing 100875China Department of Applied Physics and Applied Mathematics and Data Science Institute Columbia UniversityNew YorkNY 10027USA Beijing International Center for Mathematical Research Center for Quantitative BiologyCenter for Machine Learning ResearchPeking UniversityBeijing 100871China

Rotational Bose-Einstein condensates can exhibit quantized vortices as topological *** this study,the ground and excited states of the rotational Bose-Einstein condensates are systematically studied by calculating the stationary points of the Gross-Pitaevskii energy *** excited states and their connections at different rotational frequencies are revealed in solution landscapes constructed with the constrained high-index saddle dynamics *** excitation mechanisms are identified:vortex addition,rearrangement,merging,and *** demonstrate changes in the ground state with increasing rotational frequencies and decipher the evolution of the stability of ground states.

关键词： method rotational excited

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Deep learning-based channel estimation for wireless ultraviolet MIMO communication systems

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Optoelectronics Letters 2024年第1期20卷 35-41页

作者： ZHAO Taifei SUN Yuxin Lü Xinzhe zhang Shuang Faculty of Automation and Information Engineering Xi'an University of TechnologyXi'an 710048China Xian Key Laboratory of Wireless Optical Communication and Network Research Xi'an 710048China

To solve the problems of pulse broadening and channel fading caused by atmospheric scattering and turbulence,multiple-input multiple-output(MIMO)technology is a valid way.A wireless ultraviolet(UV)MIMO channel estimation approach based on deep learning is provided in this *** deep learning is used to convert the channel estimation into the image *** combining convolutional neural network(CNN)and attention mechanism(AM),the learning model is designed to extract the depth features of channel state information(CSI).The simulation results show that the approach proposed in this paper can perform channel estimation effectively for UV MIMO communication and can better suppress the fading caused by scattering and turbulence in the MIMO scattering channel.

关键词： channel scattering MIMO

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