Simulation of Offshore Wind Turbine Blade Docking Based on the Stewart Platform

The windy environment is the main cause affecting the efficiency of offshore wind turbine installation.In order to improve the stability and efficiency of single-blade installation of offshore wind turbines under high wind speed conditions,the Stewart platform is used as an auxiliary tool to help dock the wind turbine blade in this paper.In order to verify the effectiveness of the Stewart platform for blade docking,a blade docking simulation system consisting of the Stewart platform,wind turbine blade,and wind load calculation module was built based on Simulink/SimscapeMultibody.At the same time,the PID algorithm is used to control the Stewart platform so that the blade can effectively track the desired trajectory during the docking process to ensure the successful docking of the blade.Through the simulation of the docking process for blades with a length of 61.5 meters,this paper successfully demonstrates a docking system that might facilitate future docking processes.It also shows that the Stewart platform can effectively reduce the vibration and the movement range of the blade root and improve the stability and efficiency of blade docking.

Growth and structural properties of silicon on Ag films prepared by 40.68 MHz very-high-frequency magnetron sputtering

The growth of silicon on Ag films via 40.68 MHz very-high-frequency （VHF） magnetron sputtering was investigated. The energy distribution and flux density of the ions on the substrate were also measured. The results showed that 40.68 MHz magnetron sputtering can produce ions with higher energy and lower flux density. The impact of these ions onto the grown surface promotes the growth of silicon, which is related to the crystalline nature and microstructure of the underlayer of the Ag films, and there is large particle growth of silicon on Ag films with a preferred orientation of （111）, and two-dimensional growth of silicon on Ag films with a better face-centered cubic structure.

Advance and Application of Single‑cell Transcriptomics in Auditory Research

Hearing loss and deafness,as a worldwide disability disease,have been troubling human beings.However,the auditory organ of the inner ear is highly heterogeneous and has a very limited number of cells,which are largely uncharacterized in depth.Recently,with the development and utilization of single-cell RNA sequencing(scRNA-seq),researchers have been able to unveil the complex and sophisticated biological mechanisms of various types of cells in the auditory organ at the single-cell level and address the challenges of cellular heterogeneity that are not resolved through by conventional bulk RNA sequencing(bulk RNAseq).Herein,we reviewed the application of scRNA-seq technology in auditory research,with the aim of providing a reference for the development of auditory organs,the pathogenesis of hearing loss,and regenerative therapy.Prospects about spatial transcriptomic scRNA-seq,single-cell based genome,and Live-seq technology will also be discussed.

The single-cell transcriptomic landscape of the topological differences in mammalian auditory receptors

Mammalian hair cells(HCs)are arranged spirally along the cochlear axis and correspond to different frequency ranges.Serving as primary sound detectors,HCs spatially segregate component frequencies into a topographical map.HCs display significant diversity in anatomical and physiological characteristics,yet little is known about the organization of the cochleotopic map of HCs or the molecules involved in this process.Using single-cell RNA sequencing,we determined the distinct molecular profiles of inner hair cells and outer hair cells,and we identified numerous position-dependent genes that were expressed as gradients.Newly identified genes such as Ptn,Rxra,and Nfe2l2 were found to be associated with tonotopy.We employed the SCENIC algorithm to predict the transcription factors that potentially shape these tonotopic gradients.Furthermore,we confirmed that Nfe2l2,a tonotopy-related transcription factor,is critical in mice for sensing low-tomedium sound frequencies in vivo.the analysis of cell-cell communication revealed potential receptor-ligand networks linking inner hair cells to spiral ganglion neurons,including pathways such as BDNF-Ntrk and PTN-Scd4,which likely play essential roles in tonotopic maintenance.Overall,these findings suggest that molecular gradients serve as the organizing principle for maintaining the selection of sound frequencies by HCs.

Glycolysis and gluconeogenesis are involved of glucose metabolism adaptation during fasting and re-feeding in black carp(Mylopharyngodon piceus)

Both in nature and in aquaculture,fish may experience periods of food scarcity or hunger.The metabolic regulation of fish when nutritional state changes is a complex process that involves many factors.To study glucose metabolism adaptability during fasting and re-feeding in the black carp(Mylopharyngodon piceus),we measured changes in some biochemical indicators related to glucose metabolism.Five fish were sampled on days 0,1,3,5,and 10 of fasting(F,S1,S3,S5,and S10,respectively)and days 1,3,and 5 of re-feeding(RF1,RF3,and RF5,respectively).The serum glucose concentration decreased significantly at S1,reached the lowest point at S10,and increased significantly at RF1(P<0.05).The concentration of liver glycogen decreased significantly at S1 and reached the lowest level at S3,whereas the muscle glycogen level decreased significantly at S5 and reached the lowest value at S10(P<0.05).Both liver and muscle glycogen levels returned to the pre-fasting level at RF5(P<0.05).Regarding glycolysis,the concentrations of pyruvate kinase(PK)and hexokinase(HK)decreased significantly at S5 and increased significantly at RF5 and RF1,respectively(P<0.05).The concentrations of glucokinase(GCK)and insulin decreased significantly at S1 and increased significantly at RF1 and RF3,respectively(P<0.05).The mRNA expression levels of liver GCK and glucose transporter 2(GLUT2)decreased significantly at S1 and increased significantly at RF1 and RF5,respectively(P<0.05).As for gluconeogenesis,the concentration of glucose-6-phosphatase(G6PC)increased significantly at S1 and decreased significantly at RF1(P<0.05).The concentrations of glucagon and glucocorticoid(GC)increased significantly at S3 and significantly decreased at RF1 and RF5,respectively(P<0.05).The mRNA expression levels of liver G6PC and phosphoenolpyruvate carboxykinase(PEPCK)increased significantly at S3 and S1,and both decreased significantly at RF1(P<0.05).These results indicate that coordination between glycolysis and gluconeogenesis might be crucial for glucose homeostasis during fasting and re-feeding in the black carp.

非厄米拓扑声学中新奇物态的研究进展

声波作为信息和能量的载体,在国民经济发展和国家安全建设中有着重要的作用.近些年来,声学与其他学科进行深度交叉,产生了许多新兴的研究热点.其中,非厄米拓扑声学的研究是一个快速发展的前沿领域,得到了科研人员的广泛关注.非厄米拓扑声学利用声学结构探索和发现非厄米拓扑物理的内涵,一方面,可以利用宏观经典平台较为便利地构建和表征新奇的物态;另一方面,可以加深认识并丰富声波调控的手段,以期反哺声学器件设计.本文综述了近期该领域取得的研究进展,重点介绍了非厄米性调制的声拓扑态、非厄米性单独引起的声拓扑态和声学非厄米趋肤效应三个方面的工作.最后,我们对非厄米拓扑声学研究面临的挑战作了简单讨论,并展望了未来可能的研究方向.

The crosstalk between ferroptosis and anti-tumor immunity in the tumor microenvironment:molecular mechanisms and therapeutic controversy

The advent of immunotherapy has significantly reshaped the landscape of cancer treatment,greatly enhancing therapeutic outcomes for multiple types of cancer.However,only a small subset of individuals respond to it,underscoring the urgent need for new methods to improve its response rate.Ferroptosis,a recently discovered form of programmed cell death,has emerged as a promising approach for anti-tumor therapy,with targeting ferroptosis to kill tumors seen as a potentially effective strategy.Numerous studies suggest that inducing ferroptosis can synergistically enhance the effects of immunotherapy,paving the way for a promising combined treatment method in the future.Nevertheless,recent research has raised concerns about the potential negative impacts on anti-tumor immunity as a consequence of inducing ferroptosis,leading to conflicting views within the scientific community about the interplay between ferroptosis and anti-tumor immunity,thereby underscoring the necessity of a comprehensive review of the existing literature on this relationship.Previous reviews on ferroptosis have touched on related content,many focusing primarily on the promoting role of ferroptosis on anti-tumor immunity while overlooking recent evidence on the inhibitory effects of ferroptosis on immunity.Others have concentrated solely on discussing related content either from the perspective of cancer cells and ferroptosis or from immune cells and ferroptosis.Given that both cancer cells and immune cells exist in the tumor microenvironment,a one-sided discussion cannot comprehensively summarize this topic.Therefore,from the perspectives of both tumor cells and tumor-infiltrating immune cells,we systematically summarize the current conflicting views on the interplay between ferroptosis and anti-tumor immunity,intending to provide potential explanations and identify the work needed to establish a translational basis for combined ferroptosis-targeted therapy and immunotherapy in treating tumors.

Observation of an acoustic non-Hermitian topological Anderson insulator

The interaction of band topology and disorder can give rise to intriguing phenomena.One paradigmatic example is the topological Anderson insulator,whose nontrivial topology is induced in a trivial system by disorders.In this study,we investigate the efect of purely non-Hermitian disorders on topological systems using a one-dimensional acoustic lattice with coupled resonators.Specifically,we construct a theoretical framework to describe the non-Hermitian topological Anderson insulator phase solely driven by disordered loss modulation.Then,the complete evolution of non-Hermitian disorder-induced topological phase transitions,from an initial trivial phase to a topological Anderson phase and finally to a trivial Anderson phase,is revealed experimentally using both bulk and edge spectra.Interestingly,topological modes induced by non-Hermitian disorders to be immune to both weak Hermitian and non-Hermitian disorders.These findings pave the way for future research on disordered non-Hermitian systems for novel wave manipulation.

Autonomous live working robot navigation with real-time detection and motion planning system on distribution line

In this study,an autonomous robot navigation system is designed for live working on distribution line.The developed system features a real-time detection and motion planning system,incorporating a manipulator capable of grasping power components.In order to accurately identify targets,the authors propose an object detection method based on the Larger Scale‘You Only Look Once’Version 4(LS-YOLOv4)algorithm for detecting the insulators and drop fuses.The LS-YOLOv4 extracts features of power components by Convolutional Neural Network(CNN),and then performs feature fusion.Then the authors develop a motion planning method based on the Node Control Optimal Rapidly Exploring Random Trees(NC-RRT*),which can drive the robot to realise the autonomous robot motion planning and obstacle avoidance.On the grasping function,the authors present a reliable Lightweight-based Convolutional Neural Network(L-CNN)grasping point detection method.Finally,the authors evaluate fully autonomous robotic system in both simulated and real-world experiments.The experimental results demonstrate that the proposed system can effectively identify the target and complete the grasping task in an efficient way.Notably,the proposed motion planning method can take into account both planning efficiency and accuracy to manipulation tasks.

Research on the autonomous system of the quadruped robot with a manipulator to realize leader-following,object recognition,navigation and operation

A systematic solution is developed to improve the autonomous capability of the quadruped robot with a manipulator,such as navigation,recognition and operation.The developed system adopts novel software,hardware system and system architecture,including a specially designed environment awareness system(EAS).Based on the camera and LiDAR on the EAS,the recognition of multiple common targets,such as the leader,door,window and bag,is achieved.In terms of navigation,a location method is built,that combines the laser odometer and global positioning system.A mapping and path planning module is designed by the Robot-centric Elevation Mapping algorithm and the rapidly exploring rand tree algorithm.For operation,a real-time target grasp detection system is proposed based on the You Only Look Once v5 algorithm to improve the success rate of tasks.The whole system is integrated based on the task relevance scheduling strategy to reduce the computational complexity.The tightly integrated system and the subsystems are evaluated by conducting simulations and physical experiments in robot recognition,navigation and operation.Extensive experiments show that the proposed framework can better achieve the autonomous navigation and operation of the quadruped robot with a manipulator.Notably,the proposed framework is still effective when facing dynamic objects.In addition,the system can be easily extended to other forms of mobile robot.

Human action recognition using a convolutional neural network based on skeleton heatmaps from two-stage pose estimation

Human action recognition based on skeleton information has been extensively used in various areas,such as human-computer interaction.In this paper,we extracted human skeleton data by constructing a two-stage human pose estimation model,which combined the improved single shot detector(SSD)algorithm with convolutional pose machines(CPM)to obtain human skeleton heatmaps.The backbone of the SSD algorithm was replaced with ResNet,which can characterize images effectively.In addition,we designed multiscale transformation rules for CPM to fuse the information of different scales and a convolutional neural network for the classification of the skeleton keypoints heatmaps to complete action recognition.Indoor and outdoor experiments were conducted on the Caster Moma mobile robot platform,and without an external remote control,the real-time movement of the robot was controlled by the leader through command actions.