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Embedded Majorana islands

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Science China(Physics,Mechanics & Astronomy) 2024年第9期67卷 154-164页

作者： jin-Xing hou Alex Weststrom Rui Wang Wen-Li Yang Jian Li Institute of Modern Physics Northwest UniversityXi’an 710127China department of Physics School of ScienceWestlake UniversityHangzhou 310030China Shaanxi Key Laboratory for Theoretical Physics Frontiers Xi’an 710127China Institute of Natural Sciences Westlake Institute for Advanced StudyHangzhou 310024China National Laboratory of Solid State Microstructures and department of Physics Nanjing UniversityNanjing 210093China Collaborative Innovation Center for Advanced Microstructures Nanjing 210093China Peng Huanwu Center for Fundamental Theory Xi’an 710127China

Mesoscopic superconducting islands hosting Majorana zero modes(MZMs),or Majorana islands in short,offer a prototype of topological *** this work we investigate theoretically the model of a generic Majorana island tunneling-coupled to a singlepiece metallic substrate,hence an embedded Majorana *** show the crucial consequences of an interplay between the topological ground states nonlocally addressed by the MZMs and the metallic bath with coherent electron propagation:on the one hand,the topological degeneracy on the Majorana island can be preserved,by virtue of the particle-hole symmetry,despite the apparent bath-induced coupling between MZMs;on the other hand,the electronic interference in the metallic bath may lead to profound alterations to the renormalization group behavior of the hybrid system towards low energy/temperature compared with conventional Kondo *** work serves to establish the model of embedded Majorana islands as an experimentally relevant and theoretically intriguing problem particularly in the direction of topological quantum computation.

关键词： topological quantum computation Majorana zero modes topological qubit mesoscopic superconductor topological Kondo effect

Deep learning for joint channel estimation and feedback in massive MIMO systems

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Digital Communications and Networks 2024年第1期10卷 83-93页

作者： Jiajia Guo Tong Chen Shi jin Geoffrey Ye Li Xin Wang Xiaolin hou National Mobile Communications Research Laboratory Southeast UniversityNanjing210096China department of Electrical and Electronic Engineering Imperial College LondonLondonSW72AZUK DOCOMO Beijing Communications Laboratories Co. LtdBeijingChina

The great potentials of massive Multiple-Input Multiple-Output(MIMO)in Frequency Division Duplex(FDD)mode can be fully exploited when the downlink Channel State Information(CSI)is available at base ***,the accurate CsI is difficult to obtain due to the large amount of feedback overhead caused by massive *** this paper,we propose a deep learning based joint channel estimation and feedback framework,which comprehensively realizes the estimation,compression,and reconstruction of downlink channels in FDD massive MIMO *** networks are constructed to perform estimation and feedback explicitly and *** explicit network adopts a multi-Signal-to-Noise-Ratios(SNRs)technique to obtain a single trained channel estimation subnet that works well with different SNRs and employs a deep residual network to reconstruct the channels,while the implicit network directly compresses pilots and sends them back to reduce network *** module is also designed to generate data-bearing *** results show that the two proposed networks exhibit excellent performance of reconstruction and are robust to different environments and quantization errors.

关键词： Channel estimation CSI feedback Deep learning Massive MIMO FDD

A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 65-80页

作者： Sihao Yu zixin Zhang Shuaifeng Wang Xin Huang Qinghua Lei department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghaiChina Key Laboratory of Geotechnical and Underground Engineering Ministry of EducationTongji UniversityShanghaiChina department of Earth Sciences ETH ZürichZürichSwitzerland department of Earth Sciences Uppsala UniversityUppsalaSweden

The technology of tunnel boring machine(TBM)has been widely applied for underground construction worldwide;however,how to ensure the TBM tunneling process safe and efficient remains a major *** rate is a key parameter of TBM operation and reflects the TBM-ground interaction,for which a reliable prediction helps optimize the TBM ***,we develop a hybrid neural network model,called Attention-ResNet-LSTM,for accurate prediction of the TBM advance rate.A database including geological properties and TBM operational parameters from the Yangtze River Natural Gas Pipeline Project is used to train and test this deep learning *** evolutionary polynomial regression method is adopted to aid the selection of input *** results of numerical exper-iments show that our Attention-ResNet-LSTM model outperforms other commonly-used intelligent models with a lower root mean square error and a lower mean absolute percentage ***,parametric analyses are conducted to explore the effects of the sequence length of historical data and the model architecture on the prediction accuracy.A correlation analysis between the input and output parameters is also implemented to provide guidance for adjusting relevant TBM operational *** performance of our hybrid intelligent model is demonstrated in a case study of TBM tunneling through a complex ground with variable ***,data collected from the Baimang River Tunnel Project in Shenzhen of China are used to further test the generalization of our *** results indicate that,compared to the conventional ResNet-LSTM model,our model has a better predictive capability for scenarios with unknown datasets due to its self-adaptive characteristic.

关键词： Tunnel boring machine(TBM) Advance rate Deep learning Attention-ResNet-LSTM Evolutionary polynomial regression

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

Reviewing electrochemical stability of ionic liquids-/deep eutectic solvents-based electrolytes in lithium-ion,lithium-metal and post-lithium-ion batteries for green and safe energy

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Green Energy & Environment 2024年第6期9卷 966-991页

作者： Yu Chen Shuzi Liu zixin Bi Zheng Li Fengyi Zhou Ruifen Shi Tiancheng Mu department of Chemistry and Material Science Langfang Normal UniversityNO.100 Aimin West RoadLangfangHebei065000China department of Chemistry Renmin University of ChinNO.59 Zhongguancun StreetHaidian DistrictBeijing100872China

Sustainable energy is the key issue for the environment protection,human activity and economic *** liquids(ILs)and deep eutectic solvents(DESs)are dogmatically regarded as green and sustainable electrolytes in lithium-ion,lithium-metal(e.g.,lithium-sulphur,lithium-oxygen)and post-lithium-ion(e.g.,sodium-ion,magnesium-ion,and aluminum-ion)*** electrochemical stability of ILs/DESs is one of the prerequisites for green,sustainable and safe energy;while easy electrochemical decomposition of ILs/DESs would be contradictory to the concept of green chemistry by adding the cost,releasing volatile/hazardous by-products and hindering the ***,(1)are ILs/DESs-based electrolytes really electrochemically stable when they are not used in batteries?(2.are ILs/DESs-based electrolytes really electrochemically stable in real batteries?(3)how to design ILs/DESs-based electrolytes with high electrochemical stability for batteries to achieve sustainability and green development?Up to now,there is no summary on this topic,to the best of our ***,we review the effect of chemical structure and non-structural factors on the electrochemical stability of ILs/DESs in simulated *** importantly,electrochemical stability of ILs/DESs in real lithium-ion,lithium-metal and post-lithium-ion batteries is concluded and ***,the strategies to improve the electrochemical stability of ILs/DESs in lithium-ion,lithium-metal and post-lithium-ion batteries are *** review would provide a guide to design ILs/DESs with high electrochemical stability for lithium-ion,lithium-metal and postlithium-ion batteries to achieve sustainable and green energy.

关键词： Green solvents Decomposition Sustainable chemistry Lithium-oxygen batteries Lithium-sulphur batteries Sodium-ion batteries

Enhanced fluorescence sensing of tetracycline with Ti_(2.C quantum dots

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Nano Research 2024年第4期17卷 3180-3188页

作者： Dejia Hu ShangZuo Jiang Tianhao Xia Danyang Xiao Yan Li Yanbing hou jin Zhong Zhang Ying-Chih Pu School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China Key Lab Luminescence&Optical Information Ministry EducationBeijing JiaoTong UniversityBeijing 100044China department of Chemistry and Biochemistry University of CaliforniaSanta CruzCalifornia 95064USA department of Materials Science "National University of Tainan"Tainan 700301TaiwanChina

Ti_(2.C quantum dots(QDs)with rich surface functional groups have been synthesized using a hydrothermal method,and used to detect tetracycline(Tc)based on enhanced *** interaction between the surface functional groups of Ti_(2.C QDs and Tc enhanced the fluorescence of Tc at 514 nm,which is used to detect Tc quickly and *** optimal conditions,the fluorescence intensity was linear to the concentration of Tc in the range of 50.0–30.0μM,with a detection limit of 2..6 ***,the Tc-Ti_(2.C QDs detection system was evaluated for detection of Tc in milk and artificial *** study demonstrates a new and simple strategy for Tc detection,which is important for food safety and human health.

关键词： Ti_(2.C MXene quantum dots tetracycline fluorescence enhancement detection

Virtual vibration test rig for fatigue analysis of dozer push arms

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International Journal of Mechanical System Dynamics 2024年第3期4卷 278-291页

作者： Lei hou Weibin Li Wenyan Gu Zizheng Sun Xiangqian Zhu jin-Hwan Choi Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of MOE National Demonstration Center for Experimental Mechanical EngineeringSchool of Mechanical EngineeringShandong UniversityJinanChina Rizhao Research Institute of Shandong university RizhaoChina School of Aerospace Engineering Xiamen UniversityXiamenChina School of Qilu Transportation Shandong UniversityJinanChina department of Mechanical Engineering Kyunghee UniversitySeoulSouth Korea

To obtain accurate fatigue life results for construction machinery components,acquiring load spectra is crucial,as their authenticity and validity directly determine the precision of the *** working conditions,component attitudes change continuously,but they remain static on the vibration test rig(VTR),so the acquired target signals should match with the actual component attitudes in the driving signal *** paper proposes an efficient and economical simulation-based virtual VTR for fatigue analysis of ***,the relationship between the push arm rotation angle and the cylinder stroke is established,since the cylinder strokes can be measured easily in data acquisition ***,load decomposition is used to determine the attitude relationship between virtual VTR conditions and actual conditions,and target signals are calculated based on this attitude relationship and measured *** to the system's frequency response function,the driving signals are iterated until the system's response signals converge with the target ***,the iteratively obtained load spectra are utilized for fatigue life *** results show that the virtual VTR can effectively and accurately obtain the results of fatigue analysis and has engineering application significance.

关键词： virtual vibration test rig driving signal generation component attitudes fatigue analysis dozer push arm

Force-induced Caspase-1-dependent pyroptosis regulates orthodontic tooth movement

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International Journal of Oral Science 2024年第2期16卷 238-250页

作者： Liyuan Chen Huajie Yu zixin Li Yu Wang Shanshan jin Min Yu Lisha Zhu Chengye Ding Xiaolan Wu Tianhao Wu Chunlei Xun Yanheng Z{2. Danqing He Yan Liu department of Orthodontics Central LaboratoryPeking University School and Hospital for Stomatology&National Center for Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Research Center of Oral Biomaterials and Digital Medical Devices&Beijing Key Laboratory of Digital Stomatology&Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health&NMPA Key Laboratory for Dental Materials&National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesBeijingChina Peking university Hospital of Stomatology Fourth Division BeijingChina

Pyroptosis,an inflammatory caspase-dependent programmed cell death,plays a vital role in maintaining tissue homeostasis and activating inflammatory *** tooth movement(OTM)is an aseptic force-induced inflammatory bone remodeling process mediated by the activation of periodontal ligament(PDL)progenitor ***,whether and how force induces PDL progenitor cell pyroptosis,thereby influencing OTM and alveolar bone remodeling remains *** this study,we found that mechanical force induced the expression of pyroptosis-related markers in rat OTM and alveolar bone remodeling *** or enhancing pyroptosis level could suppress or promote OTM and alveolar bone remodeling *** Caspase-1^(−/−)mice,we further demonstrated that the functional role of the force-induced pyroptosis in PDL progenitor cells depended on ***,mechanical force could also induce pyroptosis in human ex-vivo force-treated PDL progenitor cells and in compressive force-loaded PDL progenitor cells in vitro,which influenced ***,transient receptor potential subfamily V member 4 signaling was involved in force-induced Caspase-1-dependent pyroptosis in PDL progenitor ***,this study suggested a novel mechanism contributing to the modulation of osteoclastogenesis and alveolar bone remodeling under mechanical stimuli,indicating a promising approach to accelerate OTM by targeting Caspase-1.

关键词： homeostasis movement thereby

Biomimetic leaf structures for ultra-thin electromagnetic wave absorption

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Nano Research 2024年第5期17卷 4507-4516页

作者： Shikun hou Ying Wang Feng Gao Fei jin Benfeng Zhu Qiong Wu Hongliang Ge Zhihai Cao Hua Yang Magnetism Key Laboratory of Zhejiang Province&College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China department of Materials Science and Engineering Guangdong Technion-Israel Institute of TechnologyShantou 515063China Key Laboratory of Advanced Textile Materials and Manufacturing Technology and Engineering Research Center for Eco-Dyeing&Finishing of Textiles Ministry of EducationZhejiang Sci-Tech UniversityHangzhou 310018China

Ultra-thin electromagnetic wave(EMW)absorbers present challenging demands on EMW absorption *** inspiration from heather leaf structures,this study introduces an innovative design strategy for EMW absorbing material,proposing biomimetic leaf SnO_(2. structures(bio-SnO_(2.)on carbon fabric(CF).By employing leaf-shaped SnS2.as precursors,biomimetic leaf SnO_(2. nanostructures are constructed on CF surface after a simple thermal treatment,resulting in bio-SnO_(2.@CF *** results indicate that bio-SnO_(2.@CF exhibits an exceptional minimum reflection loss of-54.8 dB at an incredibly thin thickness of 1.2.*** cross section(RCS)simulations further validate the outstanding EMW attenuation ability of bio-SnO_(2.@CF,attaining a maximum RCS reduction value of 16.9 dBm^(2. at an incident wave angle ofθ=0°.This novel research showcases the biomimetic structural design strategy and its remarkable function in enhancing the EMW absorbing performance at ultra-thin absorber thickness.

关键词： biomimetic leaf structures electromagnetic wave absorption ultra-thin thickness