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Investigation of mechanical and electrical characteristics of selfsensing pneumatic torsional actuators

Science China(Technological Sciences) 2024年第1期67卷 130-142页

作者： XIAO Wei HU DeAn HU GuoLiang XIAO yihua Key Laboratory of Conveyance and Equipment Ministry of EducationEast China Jiaotong UniversityNanchang 330013China Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment Ministry of EducationHunan UniversityChangsha 410082China

Soft pneumatic actuators are one of the most promising actuation for soft robots,and great achievements have been *** it remains challenging to endow sensing capabilities to pneumatic actuators,especially for the sensing ability originating directly from the actuator ***,a self-sensing pneumatic torsional actuator(SPTA)is designed based on the electromagnetic induction effect and magnetically responsive *** SPTA can generate feedback voltage and current with the deformation,in which the sensing function comes from its inherent *** investigate the mechanical and electrical characteristics,an experimental platform and a finite element model are established,*** find that the torsion angle and output torque increase in nonlinear with the actuating *** maximum torsion angle is 66.35°,which is 84.34%of that for the actuator fabricated by pure *** maximum output torque(24.9 N mm)improves by 23.19%compared with the actuator made by pure *** regards the electrical characteristics,the maximum feedback voltage and current are 2.90μV and 29.50 nA when the SPTA is actuated by a pressure of−40 *** also demonstrate that the relationship between the torsion angle and the magnetic flux change is approximately ***,the number of turns of wires,magnetic powders contents,and magnetic direction on the feedback voltage and current are *** show that the feedback voltage and current can be enhanced by increasing the number of turns and magnetic powders *** envision that the SPTA would be promising for soft robots to realize their accuracy control and intelligentization.

关键词： pneumatic torsional actuators self-sensing feedback voltage finite element modeling soft robots

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The essential roles of m^(6)A modification in osteogenesis and common bone diseases

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Genes & Diseases 2024年第1期11卷 335-345页

作者： Yuxi Gu Yidan Song yihua Pan Jun Liu State Key Laboratory of Oral Diseases&National Clinical Research Center for Oral Diseases Department of OrthodonticsWest China Hospital of StomatologySichuan UniversityChengduSichuan 610041China

N6-methyladenosine(m^(6)A)is the most prevalent modification in the eukaryotic transcriptome and has a wide range of functions in coding and noncoding *** affects the fate of the modified RNA,including its stability,splicing,and translation,and plays an important role in post-transcriptional *** play a key role in supporting and pro-tecting muscles and other organs,facilitating the movement of the organism,ensuring blood production,*** diseases such as osteoarthritis,osteoporosis,and bone tumors are serious public health *** processes of bone development and osteogenic differen-tiation require the precise regulation of gene expression through epigenetic mechanisms including histone,DNA,and RNA *** a reversible dynamic epigenetic mark,m^(6)A modifications affect nearly every important biological process,cellular component,and molecular function,including skeletal development and *** recent years,studies have shown that m^(6)A modification is involved in osteogenesis and bone-related *** this review,we summarized the proteins involved in RNA m^(6)A modification and the latest progress in elucidating the regulatory role of m^(6)A modification in bone formation and stem cell direc-tional *** also discussed the pathological roles and potential molecular mech-anisms of m^(6)A modification in bone-related diseases like osteoporosis and osteosarcoma and suggested potential areas for new strategies that could be used to prevent or treat bone de-fects and bone diseases.

关键词： Bone diseases m^(6)A modification Osteogenesis Regulatory role Stem cells

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Tsinghua Science and Technology 2024年第4期29卷 971-984页

作者： Yuze Peng Shengjun Xu Qingkun Chen Wenjin Huang yihua Huang School of Electronics and Information Technology Sun Yat-sen UniversityGuangzhou 510006China Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Sun Yat-sen UniversityGuangzhou 510006Chinaand Southern Marine Science and Engineering Guangdong LaboratoryZhuhai 519080China

Popularity plays a significant role in the recommendation system. Traditional popularity is only defined as a static ratio or metric (e.g., a ratio of users who have rated the item and the box office of a movie) regardless of the previous trends of this ratio or metric and the attribute diversity of items. To solve this problem and reach accurate popularity, we creatively propose to extract the popularity of an item according to the Proportional Integral Differential (PID) idea. Specifically, Integral (I) integrates a physical quantity over a time window, which agrees with the fact that determining the attributes of items also requires a long-term observation. The Differential (D) emphasizes an incremental change of a physical quantity over time, which coincidentally caters to a trend. Moreover, in the Session-based Recommendation (SBR) community, many methods extract session interests without considering the impact of popularity on interest, leading to suboptimal recommendation results. To further improve recommendation performance, we propose a novel strategy that leverages popularity to enhance the session interest (popularity-aware interest). The proposed popularity by PID is further used to construct the popularity-aware interest, which consistently improves the recommendation performance of the main models in the SBR community. For STAMP, SRGNN, GCSAN, and TAGNN, on Yoochoose1/64, the metric P@20 is relatively improved by 0.93%, 1.84%, 2.02%, and 2.53%, respectively, and MRR@20 is relatively improved by 3.74%, 1.23%, 2.72%, and 3.48%, respectively. On Movieslen-1m, the relative improvements of P@20 are 7.41%, 15.52%, 8.20%, and 20.12%, respectively, and that of MRR@20 are 2.34%, 12.41%, 20.34%, and 19.21%, respectively.

关键词： popularity Proportional Integral Differential(PID) algorithm session-based recommendation user’s interests

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Review of Fault-tolerant Control for Motor Inverter Failure with Operational Quality Considered

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CES Transactions on Electrical Machines and Systems 2024年第2期8卷 202-215页

作者： Yuxuan Du Wenxiang Zhao yihua Hu Jinghua Ji Tao Tao IEEE School of Electrical and Information Engineering Jiangsu University Department of Engineering King’s College London

In recent years,motor drive systems have garnered increasing attention due to their high efficiency and superior control *** is especially apparent in aerospace,marine propulsion,and electric vehicles,where high performance,efficiency,and reliability are *** ability of the drive system to maintain long-term fault-tolerant control(FTC)operation after a failure is *** likelihood of inverter failures surpasses that of other components in the drive system,highlighting its critical ***-term FTC operation ensures the system retains its fundamental functions until safe repairs or replacements can be *** focus of developing a FTC strategy has shifted from basic FTC operations to enhancing the post-fault quality to accommodate the realities of prolonged operation *** paper primarily investigates FTC strategies for inverter failures in various motor drive systems over the past *** strategies are categorized into three types based on post-fault operational quality:rescue,remedy,and *** paper discusses each typical control strategy and its research focus,the strengths and weaknesses of various algorithms,and recent advancements in ***,this review summarizes effective FTC techniques for inverter failures in motor drive systems and suggests directions for future research.

关键词： Fault-tolerant Motor drive Operation quality Inverter failure

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Effects of virtual agents on interaction efficiency and environmental immersion in MR environments

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虚拟现实与智能硬件（中英文） 2024年第2期6卷 169-179页

作者： yihua.ba. Jie GUO Dongdong WENG Yue LIU Zeyu TIAN Beijing Engineering Research Center of Mixed Reality and Advanced Display Beijing Institute of TechnologyBeijing 100081China Pengcheng Laboratory Shenzhen 518038China

background Physical entity interactions in mixed reality(MR)environments aim to harness human capabilities in manipulating physical objects,thereby enhancing virtual environment(VEs)*** MR,a common strategy is to use virtual agents as substitutes for physical entities,balancing interaction efficiency with environmental ***,the impact of virtual agent size and form on interaction performance remains *** Two experiments were conducted to explore how virtual agent size and form affect interaction performance,immersion,and preference in MR *** first experiment assessed five virtual agent sizes(25%,50%,75%,100%,and 125%of physical size).The second experiment tested four types of frames(no frame,consistent frame,half frame,and surrounding frame)across all agent ***,utilizing a head mounted display,performed tasks involving moving cups,typing words,and using a *** completed questionnaires assessing aspects such as the virtual environment effects,interaction effects,collision concerns,and *** Results from the first experiment revealed that agents matching physical object size produced the best overall *** second experiment demonstrated that consistent framing notably enhances interaction accuracy and speed but reduces *** balance efficiency and immersion,frameless agents matching physical object sizes were deemed *** Virtual agents matching physical entity sizes enhance user experience and interaction ***,familiar frames from 2D interfaces detrimentally affect interaction and immersion in virtual *** study provides valuable insights for the future development of MR systems.

关键词： Mixed reality Virtual agents Interaction performance Environmental immersion Virtual environments

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Click chemistry and natural products

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Chinese Journal of Natural Medicines 2024年第2期22卷 97-99页

作者： ZHANG Chen WU Jianbing ZHANG yihua HUANG Zhangjian State Key Laboratory of Natural Medicines Jiangsu Key Laboratory of Drug Discovery for Metabolic DiseasesCenter of Drug DiscoveryChina Pharmaceutical UniversityNanjing 210009China State Key Laboratory of Pathogenesis Prevention and Treatment of High Incidence Diseases in Central AsiaXinjiang Key Laboratory of Natural Medicines Active Components and Drug Release TechnologySchool of PharmacyXinjiang Medical UniversityUrumqi 830054China

The 2022 Nobel Prize in Chemistry was awarded to American scientists Carolyn Bertozzi,*** Sharpless,and Danish scientist Morten *** for their contributions to the development of click chemistry and bioorthogonal chemi... 详细信息

关键词： Click chemistry Natural product Target identification Drug discovery

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Cross-resistance and genetics of field-evolved resistance to chlorfenapyr in Plutella xylostella

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Insect Science 2024年第2期31卷 533-541页

作者： Cheng Qian Jialin Li Shuwen Wu yihua Yang Yidong Wu Xingliang Wang Sanya Institute of Nanjing Agricultural Universty SanyaHainanChinaand College of Plant Protection Nanjing Agricultural UniversNanjingChina

Chlorfenapyr is a broad-spectrum halogenated pyrrole insecticide with a unique mode of *** to the misuse and overuse of this chemical,resistance has been reported in several arthropods,including Plutella xylostella,which is one of the most destructive insect pests afflicting crucifers worldwide.A better understanding of the cross-resistance and genetics of field-evolved chlorfenapyr resistance could effectively guide resistance management ***,the chlorfenapyr resistance of a fieldderived population of P xylostella was introgressed into the susceptible IPP-S strain using a selection-assisted multigenerational backcrossing *** constructed nearisogenic strain,TH-BCsF2,shared 98.4%genetic background with the recurrent parent IPP-S *** TH-BCsF2 strain showed 275-fold resistance to chlorfenapyr,but no significant cross-resistance to spinosad,abamectin,chlorpyrifos,β-cypermethrin,indoxacarb,chlorantraniliprole,or broflanilide(no more than 4.2-fold).Genetic analysis revealed that resistance was autosomal,incompletely dominant,and conferred by 1 major gene or a few tightly linked *** synergism of metabolic inhibitors(PBO,DEM,and DEF)to chlorfenapyr was very weak(<1.7-fold),and the metabolic enzyme activities in the TH-BCsF2 strain were not significantly elevated compared with the IPP-S *** results enhances our understanding of the genetic traits of chlorfenapyr resistance,and provides essential information for improving resistance management strategies.

关键词： chlorfenapyr cross-resistance mode of inheritance near-isogenic line Plutellaxylostella

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Audio-Text Multimodal Speech Recognition via Dual-Tower Architecture for Mandarin Air Traffic Control Communications

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Computers, Materials & Continua 2024年第3期78卷 3215-3245页

作者： Shuting Ge Jin Ren yihua Shi Yujun Zhang Shunzhi Yang Jinfeng Yang School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater bay Area Shenzhen Polytechnic UniversityShenzhen518055China Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen518055China Industrial Training Centre Shenzhen Polytechnic UniversityShenzhen518055China

In air traffic control communications (ATCC), misunderstandings between pilots and controllers could result in fatal aviation accidents. Fortunately, advanced automatic speech recognition technology has emerged as a promising means of preventing miscommunications and enhancing aviation safety. However, most existing speech recognition methods merely incorporate external language models on the decoder side, leading to insufficient semantic alignment between speech and text modalities during the encoding phase. Furthermore, it is challenging to model acoustic context dependencies over long distances due to the longer speech sequences than text, especially for the extended ATCC data. To address these issues, we propose a speech-text multimodal dual-tower architecture for speech recognition. It employs cross-modal interactions to achieve close semantic alignment during the encoding stage and strengthen its capabilities in modeling auditory long-distance context dependencies. In addition, a two-stage training strategy is elaborately devised to derive semantics-aware acoustic representations effectively. The first stage focuses on pre-training the speech-text multimodal encoding module to enhance inter-modal semantic alignment and aural long-distance context dependencies. The second stage fine-tunes the entire network to bridge the input modality variation gap between the training and inference phases and boost generalization performance. Extensive experiments demonstrate the effectiveness of the proposed speech-text multimodal speech recognition method on the ATCC and AISHELL-1 datasets. It reduces the character error rate to 6.54% and 8.73%, respectively, and exhibits substantial performance gains of 28.76% and 23.82% compared with the best baseline model. The case studies indicate that the obtained semantics-aware acoustic representations aid in accurately recognizing terms with similar pronunciations but distinctive semantics. The research provides a novel modeling pa

关键词： Speech-text multimodal automatic speech recognition semantic alignment air traffic control communications dual-tower architecture

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Comprehensive Evaluation Method for Traffic Flow Data Quality based on Grey Correlation Analysis and Particle Swarm Optimization

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Journal of Systems Science and Systems Engineering 2024年第1期33卷 106-128页

作者： Wei ba baojun Chen Qi Li School of Automation and Electrical Engineering Dalian Jiaotong UniversityDalian116028China Faculty of Electronic Information and Electrical Engineering Dalian University of TechnologyDalian116023China

Nowadays,data are more and more used for intelligent modeling and prediction,and the comprehensive evaluation of data quality is getting more and more attention as a necessary means to measure whether the data are usable or ***,the comprehensive evaluation method of data quality mostly contains the subjective factors of the evaluator,so how to comprehensively and objectively evaluate the data has become a bottleneck that needs to be solved in the research of comprehensive evaluation *** order to evaluate the data more comprehensively,objectively and differentially,a novel comprehensive evaluation method based on particle swarm optimization(PSO)and grey correlation analysis(GCA)is presented in this *** first,an improved GCA evaluation model based on the technique for order preference by similarity to an ideal solution(TOPSIS)is ***,an objective function model of maximum difference of the comprehensive evaluation values is built,and the PSO algorithm is used to optimize the weights of the improved GCA evaluation model based on the objective function ***,the performance of the proposed method is investigated through parameter analysis.A performance comparison of traffic flow data is carried out,and the simulation results show that the maximum average difference between the evaluation results and its mean value(MDR)of the proposed comprehensive evaluation method is 33.24%higher than that of TOPSIS-GCA,and 6.86%higher than that of *** proposed method has better differentiation than other methods,which means that it objectively and comprehensively evaluates the data from both the relevance and differentiation of the data,and the results more effectively reflect the differences in data quality,which will provide more effective data support for intelligent modeling,prediction and other applications.

关键词： Data quality comprehensive evaluation particle swarm optimization grey correlation analysis traffic flow data

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ATAT1 deficiency enhances microglia/macrophage-mediated erythrophagocytosis and hematoma absorption following intracerebral hemorrhage

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Neural Regeneration Research 2024年第5期19卷 1072-1077页

作者： yihua Zhang Ping Huang Min Cao Yi Chen Xinhu Zhao Xuzhi He Lunshan Xu Department of Neurosurgery Daping HospitalArmy Medical UniversityChongqingChina

MIcroglia/macrophage-mediated erythrophagocytosis plays a crucial role in hematoma clearance after intracerebral *** cytoskeletal changes accompany ***,whether and how these changes are associated with microglia/macrophage-mediated erythrophagocytosis remain *** this study,we investigated the function of acetylatedα-tubulin,a stabilized microtubule form,in microglia/macrophage erythrophagocytosis after intracerebral hemorrhage both in vitro and in *** first assessed the function of acetylatedα-tubulin in erythrophagocytosis using primary DiO GFP-labeled red blood cells co-cultured with the BV2 microglia or RAW264.7 macrophage cell ***α-tubulin expression was significantly decreased in BV2 and RAW264.7 cells during ***,silencingα-tubulin acetyltransferase 1(ATAT1),a newly discoveredα-tubulin acetyltransferase,decreased Ac-α-tub levels and enhanced the erythrophagocytosis by BV2 and RAW264.7 *** with these findings,in ATAT1-/-mice,we observed increased ionized calcium binding adapter molecule 1(Iba1)and Perls-positive microglia/macrophage phagocytes of red blood cells in peri-hematoma and reduced hematoma volume in mice with intracerebral ***,knocking out ATAT1 alleviated neuronal apoptosis and pro-inflammatory cytokines and increased anti-inflammatory cytokines around the hematoma,ultimately improving neurological recovery of mice after intracerebral *** findings suggest that ATAT1 deficiency accelerates erythrophagocytosis by microglia/macrophages and hematoma absorption after intracerebral *** results provide novel insights into the mechanisms of hematoma clearance and suggest ATAT1 as a potential target for the treatment of intracerebral hemorrhage.

关键词： acetylatedα-tubulin α-tubulin acetyltransferase 1(ATAT1) erythrophagocytosis hematoma absorption intracerebral hemorrhage macrophage microglia

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