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TMEM63B regulates postnatal development of cochlear sensory epithelia via thyroid hormone signaling

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Journal of Genetics and Genomics 2024年第6期51卷 673-676页

作者： Chang Ye Tian-Zi Zhang Yan-Yu zang yun Stone Shi Guoqiang Wan State Key Laboratory of Pharmaceutical Biotechnology and MOE Key Laboratory of Model Animal for Disease Study Model Animal Research CenterMedical SchoolNanjing UniversityNanjingJiangsu 210032China Guangdong Institute of Intelligence Science and Technology ZhuhaiGuangdong 519031China

Sound transmission occurs in the cochlea,a complex and ingenious subdivision in the inner *** structure of the cochlea develops structurally and functionally by the time before two postnatal weeks(the time of hearing onset)in mice(Geal-Dor et al.,1993).Greater epithelial ridge(GER,also known as Kolliker's organ)is a transient cochlear structure containing a group of columnar epithelial supporting cells surrounding the inner hair cells(IHCs).

关键词： cochlear al. supporting

Working condition recognition of sucker rod pumping system based on 4-segment time-frequency signature matrix and deep learning

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Petroleum Science 2024年第1期21卷 641-653页

作者： yun-Peng He Hai-Bo Cheng Peng Zeng Chuan-Zhi zang Qing-Wei Dong Guang-Xi Wan Xiao-Ting Dong State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016LiaoningChina Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang 110016LiaoningChina Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169LiaoningChina University of Chinese Academy of Sciences Beijing100049China School of Artifcial Intelligence Shenyang University of TechnologyShenyang 110870LiaoningChina

High-precision and real-time diagnosis of sucker rod pumping system(SRPS)is important for quickly mastering oil well *** learning-based method for classifying the dynamometer card(DC)of oil wells is an efficient diagnosis ***,the input of the DC as a two-dimensional image into the deep learning framework suffers from low feature utilization and high computational ***,different SRPSs in an oil field have various system parameters,and the same SRPS generates different DCs at different ***,there is heterogeneity in field data,which can dramatically impair the diagnostic *** solve the above problems,a working condition recognition method based on 4-segment time-frequency signature matrix(4S-TFSM)and deep learning is presented in this ***,the 4-segment time-frequency signature(4S-TFS)method that can reduce the computing power requirements is proposed for feature extraction of DC ***,the 4S-TFSM is constructed by relative normalization and matrix calculation to synthesize the features of multiple data and solve the problem of data ***,a convolutional neural network(CNN),one of the deep learning frameworks,is used to determine the functioning conditions based on the *** on field data verify that the proposed diagnostic method based on 4S-TFSM and CNN(4S-TFSM-CNN)can significantly improve the accuracy of working condition recognition with lower computational *** the best of our knowledge,this is the first work to discuss the effect of data heterogeneity on the working condition recognition performance of SRPS.

关键词： Sucker-rod pumping system Dynamometer card Working condition recognition Deep learning Time-frequency signature Time-frequency signature matrix

Towards an ultrafast 3D imaging scanning LiDAR system:a review

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Photonics Research 2024年第8期12卷 1709-1729页

作者： ZHI LI YAQI HAN LICAN WU ZIHAN zang MAOLIN DAI SZE yun SET SHINJI YAMASHITA QIAN LI H.Y.FU Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China Department of Electrical Engineering and Information Systems The University of TokyoTokyo 113-8656Japan Research Center for Advanced Science and Technology The University of TokyoTokyo 153-8904Japan School of Electronic and Computer Engineering Peking UniversityShenzhen 518055China

Light detection and ranging(LiDAR),as a hot imaging technology in both industry and academia,has undergone rapid innovation and *** current mainstream direction is towards system miniaturization and *** are many metrics that can be used to evaluate the performance of a LiDAR system,such as lateral resolution,ranging accuracy,stability,size,and *** recently,with the continuous enrichment of LiDAR application scenarios,the pursuit of imaging speed has attracted tremendous research ***,for autonomous vehicles running on motorways or industrial automation applications,the imaging speed of LiDAR systems is a critical *** this review,we will focus on discussing the upper speed limit of the LiDAR *** on the working mechanism,the limitation of optical parts on the maximum imaging speed is *** beam scanner has the greatest impact on imaging *** provide the working principle of current popular beam scanners used in LiDAR systems and summarize the main constraints on the scanning ***,we highlight the spectral scanning LiDAR as a new paradigm of ultrafast ***,to further improve the imaging speed,we then review the parallel detection methods,which include multiple-detector schemes and multiplexing ***,we summarize the LiDAR systems with the fastest point acquisition rate reported *** the outlook,we address the current technical challenges for ultrafast LiDAR systems from different aspects and give a brief analysis of the feasibility of different approaches.

关键词： LiDAR scanner system

Mutations in Ras homolog family member A in patients with peripheral T-cell lymphoma and implications for personalized medicine

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Cancer Biology & Medicine 2024年第9期21卷 754-768页

作者： Lina Hu Xuanye Zhang Shengbing zang Sun Yat-sen University Cancer Center State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhou 510060China Department of Pathology Sun Yat-sen University Cancer CenterGuangzhou 510060China Department of Medical Oncology Sun Yat-sen University Cancer CenterGuangzhou 510060China

Genome sequencing has revealed frequent mutations in Ras homolog family member A(RHOA)among various cancers with unique aberrant profiles and pathogenic effects,especially in peripheral T-cell lymphoma(PTCL).The discrete positional distribution and types of RHOA amino acid substitutions vary according to the tumor type,thereby leading to different functional and biological properties,which provide new insight into the molecular pathogenesis and potential targeted therapies for various ***,the similarities and discrepancies in characteristics of RHOA mutations among various histologic subtypes of PTCL have not been fully *** we highlight the inconsistencies and complexities of the type and location of RHOA mutations and demonstrate the contribution of RHOA variants to the pathogenesis of PTCL by combining epigenetic abnormalities and activating multiple downstream *** promising potential of targeting RHOA as a therapeutic modality is also *** review provides new insight in the field of personalized medicine to improve the clinical outcomes for patients.

关键词： Drug target mutation pathogenesis personalized medicine peripheral T-cell lymphoma Ras homolog family member A

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异构边缘云架构下的多任务卸载算法

哈尔滨工程大学学报 2024年第4期45卷 800-807页

作者：尼俊红臧云华北电力大学(保定)电子与通信工程系河北保定071003 华北电力大学河北省电力物联网技术重点实验室河北保定071003

为在资源有限的终端设备上运行计算密集型与时延敏感型应用,同时降低系统时延和能耗,构建边缘云异构网络模型。本文提出了一种H-PSOGA多任务卸载优化算法,并通过无人机、路边单元、车辆等边缘设备以及边缘云服务器进行多任务计算卸载。... 详细信息

为在资源有限的终端设备上运行计算密集型与时延敏感型应用,同时降低系统时延和能耗,构建边缘云异构网络模型。本文提出了一种H-PSOGA多任务卸载优化算法,并通过无人机、路边单元、车辆等边缘设备以及边缘云服务器进行多任务计算卸载。该算法以先串行再并行的方式将粒子群和遗传算法结合在一起,通过适应度值排序、种群选择、多点交叉、反向变异等操作,利用遗传算法对粒子群进行优选,弥补粒子群算法早熟收敛、陷入局部最优的缺陷。6种标准测试函数的测试分析以及与基线方案进行仿真对比的结果表明:在用户数较多时,混合优化算法的系统平均开销可降低26%~43%,可以有效提高收敛精度。

关键词：移动边缘计算异构网络边缘节点任务卸载粒子群算法遗传算法多目标优化标准测试函数

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New insights into suspended drops:When soft matter meets acoustic levitation

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Droplet 2024年第1期3卷 28-44页

作者： Hongyue Chen Zhenyu Hong Duyang zang MOE Key Laboratory of Material Physics and Chemistry under Extraordinary Conditions School of Physical Science and TechnologyNorthwestern Polytechnical UniversityXi'anChina Shaanxi Liquid Physics Research Center Xi'anChina

Acoustic levitation has developed into a popular but elegant tool for the study of drops as well as soft matter due to its exceptional levitation capabilities to a variety of liquid *** acoustically levitated drops offer opportunities for the investigation of a wide range of fundamental issues related to liquid *** this review,the unique physics/chemical processes involved in acoustically levitated drops are dealt *** first introduce the dynamics of the acoustically levitated drops,including drop oscillation,coalescence,and the associated capillary *** bubble formation and stability are also *** on the inhibition of solid surfaces and the nonlinear effects of ultrasound,the self‐assembly of colloidal particles at the air–liquid interface as well as granular matter in air is *** particular,the exploration of biological drops by using acoustic levitation is also *** the end,the concept of acoustic‐levitation‐fluidics and possible potential topics are proposed.

关键词： insight exceptional bubble

A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application

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Journal of Systems Science and Information 2024年第2期12卷 294-308页

作者： Zhenchun zang Jielu LI Meng WEI College of Computer and Information Engineering Henan University of Economics and LawZhengzhou 450046China

The probabilistic hesitant fuzzy multi-attribute group decision-making method introduces probability and hesitation into decision-making problems at the same time,which can improve the reliability and accuracy of decision-making results,and has become a research hotspots in recent ***,there are still many problems,such as overly complex calculations and difficulty in obtaining probability *** on these,the paper proposes a multi-attribute group decision-making model based on probability hesitant fuzzy soft ***,the definition of probabilistic hesitant fuzzy soft set is ***,based on soft set theory and probabilistic hesitant fuzzy set,the similarity measure of probabilistic hesitant fuzzy soft set is proposed,and the two measures are further ***,it is applied to the construction of multi-attribute group decision-making model,and the effectiveness and rationality of the model are verified by an *** example shows that the new similarity calculation formula and algorithm model in this paper have higher accuracy,and the calculation process is more simple,it provides a feasible method for multi-attribute group decision making problems.

关键词： probabilistic hesitant fuzzy soft sets similarity multi-attribute group decision-making model

Reaction behavior of MgO refractory with high-Mn and high-Al steel

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Journal of Iron and Steel Research International 2024年第6期31卷 1389-1398页

作者： Ling-zhong Kong Lin Zu Jie Yang Xi-min zang Xin Yang Ming Kang School of Materials and Metallurgy University of Science and Technology LiaoningAnshan 114051LiaoningChina

To understand the mechanism of the interfacial reaction between high-Mn and high-Al steel and MgO refractory,a series of laboratory experiments as well as thermodynamic calculations were *** effects of Mn and Al contents in the steel and the reaction time on the interfacial reaction were *** was observed that the erosion of the MgO refractory is caused by the reaction of Al and Mn in the steel with MgO in the refractory,which would lead to the formation of(Mn,Mg)O·Al_(2)O_(3) spinel and(Mn,Mg)O solid *** formation mechanism of the spinel and solid solution is as *** Al in the steel firstly reacts with MgO in the refractory to generate MgO·Al_(2)O_(3) spinel,and then,the spinel reacts with Mn in the steel to form(Mn,Mg)O·Al_(2)O_(3) ***,the MnO in the spinel reacts with the MgO in the inner refractory to form(Mn,Mg)O solid *** addition,only(Mn,Mg)O·Al_(2)O_(3) spinel is present in the interfacial reaction layer of the refractory when the Al content in the steel is sufficient.

关键词： High-Mn high-Al steel MgO refractory Reaction behavior Spinel

Uncertainty quantification of inverse analysis for geomaterials using probabilistic programming

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 895-908页

作者： Hongbo Zhao Shaojun Li Xiaoyu zang Xinyi Liu Lin Zhang Jiaolong Ren School of Civil Engineering and Geomatics Shandong University of TechnologyZibo255000China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China

Uncertainty is an essentially challenging for safe construction and long-term stability of geotechnical *** inverse analysis is commonly utilized to determine the physico-mechanical ***,conventional inverse analysis cannot deal with uncertainty in geotechnical and geological *** this study,a framework was developed to evaluate and quantify uncertainty in inverse analysis based on the reduced-order model(ROM)and probabilistic *** ROM was utilized to capture the mechanical and deformation properties of surrounding rock mass in geomechanical *** programming was employed to evaluate uncertainty during construction in geotechnical engineering.A circular tunnel was then used to illustrate the proposed framework using analytical and numerical *** results show that the geomechanical parameters and associated uncertainty can be properly obtained and the proposed framework can capture the mechanical behaviors under ***,a slope case was employed to demonstrate the performance of the developed *** results prove that the proposed framework provides a scientific,feasible,and effective tool to characterize the properties and physical mechanism of geomaterials under uncertainty in geotechnical engineering problems.

关键词： Geological engineering Geotechnical engineering Inverse analysis Uncertainty quantification Probabilistic programming