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Intelligent decision-making method for vehicles in emergency conditions based on artificial potential fields and finite state machines

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Journal of Intelligent and Connected Vehicles

Journal of Intelligent and Connected Vehicles 2024年第1期7卷 19-29页

作者： Xunjia Zheng Huilan Li Qiang Zhang Yonggang Liu Xing chen Hui Liu Tianhong Luo Jianjie Gao Lihong xia china Automotive Engineering Research Institute Co. Ltd.Chongqing 401122China school of Intelligent Manufacturing Engineering Chongqing University of Arts and SciencesChongqing 402160China Department of Information and Intelligence Engineering Chongqing City Vocational CollegeChongqing 402160China College of Mechanical and Vehicle Engineering Chongqing UniversityChongqing 400044China Intelligent Policing Key Laboratory of Sichuan Province Luzhou 646000China

This study aims to propose a decision-making method based on artificial potential fields(APFs)and finite state machines(FSMs)in emergency *** study presents a decision-making method based on APFs and FSMs for emergency *** modeling the longitudinal and lateral potential energy fields of the vehicle,the driving state is identified,and the trigger conditions are provided for path planning during lane *** addition,this study also designed the state transition rules based on the longitudinal and lateral virtual *** established the vehicle decision-making model based on the finite state machine to ensure driving safety in emergency *** illustrate the performance of the decision-making model by considering APFs and finite state *** version of the model in the co-simulation platform of MATLAB and CarSim shows that the developed decision model in this study accurately generates driving behaviors of the vehicle at different time *** contributions of this study are two-fold.A hierarchical vehicle state machine decision model is proposed to enhance driving safety in emergency *** models for determining the transition thresholds of lateral and longitudinal vehicle states are established based on the vehicle potential field model,leading to the formulation of transition rules between different states of autonomous vehicles(AVs).

关键词： decision-making artificial potential field finite state machines emergency conditions autonomous driving

Role of micro-Ca/In alloying in tailoring the microstructural characteristics and discharge performance of dilute Mg-Bi-Sn-based alloys as anodes for Mg-air batteries

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Journal of Magnesium and Alloys 2024年第1期12卷 251-266页

作者： Fei-er Shangguan Wei-li cheng Yu-hang chen Ze-qin Cui Hui Yu Hong-{2. Wang Li-fei Wang Hang Li Hua Hou school of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan 030024China school of Materials Science and Engineering Hebei University of TechnologyTianjin 300132China school of Materials Science and Engineering North University of ChinaTaiyuan 030051China

The influence of micro-Ca/In alloying on the microstructural charac teristics,electrochemical behaviors and discharge properties of extruded dilute Mg-0.5Bi-0.5Sn-based(wt.%)alloys as anodes for Mg-air batteries are *** grain size and texture intensity of the Mg-Bi-Sn-based alloys are significantly decreased after the Ca/In alloying,particularly for the In-containing *** that,in addition to nanoscale Mg_(3)Bi_(2.phase,a new microscale Mg_(2.Bi_(2.Ca phase forms in the Ca-containing *** electrochemical test results demonstrate that Ca/In micro-alloying can enhance the electrochemical *** In to alloy the Mg-Bi-Sn-based alloy is effective in restricting the cathodic hydrogen evolution(CHE)kinetics,leading to a low self-corrosion rate,while severe CHE occurred after Ca *** micro-alloying of Ca/In to Mg-Bi-Sn-based alloy strongly deteriorates the compactness of discharge products film and mitigates the"chunk effect"(CE),hence the cell voltage,anodic efficiency as well as discharge capacity are greatly *** In-containing alloy exhibits outstanding discharge performance under the combined effect of the modified microstructure and discharge products,thus making it a potential anode material for primary Mg-air battery.

关键词： Mg-air batteries Mg-Bi-Sn based alloys Electrochemical behaviors Discharge properties

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八步连续流全合成维生素B_(1)工艺研究

Engineering 2024年第1期32卷 226-232页

作者： Meifen Jiang Minjie Liu Weijian Li Yingqi xia Fen-Er chen Engineering Center of Catalysis and Synthesis for Chiral Molecules Department of ChemistryFudan UniversityShanghai 200433China Shanghai Engineering Research Center of Industrial Asymmetric Catalysis of Chiral Drugs Shanghai 200433China school of Science Harbin Institute of Technology(Shenzhen)Shenzhen 518055China

Vitamin B_(1) is widely applied in the healthcare and food industry as an antineuritic and antioxidant to maintain the normal functioning of nerve conduction,the heart,and the gastrointestinal *** study reports on an integrated eight-step continuous-flow synthesis of vitamin B_(1) from commercially available *** proposed continuous-flow process is based on advances in chemistry,engineering,and equipment design,and affords improved performance and safety compared with batch-mode *** challenges were precisely investigated and controlled,including mixing,unexpected clogging,solvent switches,an exothermic reaction,and the prevention of side reactions,using various micro-channel flow reactors,mixers,separators,and continuous *** B_(1) was produced with a separated yield of 47.7% and high purity,with a total residence time of about 3.5 *** eight-step continuous-flow protocol enables technology involving up to six of the key principles of green ***,the application of flow technology is of paramount importance for improving security,reducing waste,and,in particular,improving the efficiency of batch operations that require several days for manufacturing.

关键词： Vitamin B_(1) Continuous-flow synthesis Micro-reactor Continuous manufacturing

Boosting the cycling stability of all-solid-state lithium metal batteries through MOF-based polymeric protective layers

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Journal of Energy Chemistry 2024年第8期95卷 511-518,I0011页

作者： Hongfei Bao Diancheng chen Jiaqi Cao Pengfeng Jiang Kaili Li Runtao Liu Yuling Zhao Yichun Zheng Beiqi Liao Yaming Zhang {2. Lu Yang Sun school of Materials Shenzhen Campus of Sun Yat-sen UniversityShenzhen 518107GuangdongChina

Solid-state electrolytes(SSEs)play a pivotal role in advancing next-generation lithium metal battery ***,they commonly encounter substantial interfacial resistance and poor stability when interfacing with lithium metal,hindering practical ***,we introduce a flexible metal-organic framework(MOF:NUS-6)-incorporated polymeric layer,denoted as NP,designed to protect the sodium superionic conductor(NASICON)-type Li_(1.3)Al_(0.3)Ti_(1.7)(PO_(4))_(3)(LATP)electrolyte from Li metal *** NP matrix establishes a soft interface with the LATP surface,effectively reducing voids and gaps that may arise between the LATP electrolyte and Li ***,the MOF component in NP enhances ionic conductivity,offers abundant Li^(+)transport sites,and provides hierarchical ion channels,ensuring a homogeneous Li^(+)flow and thus effectively inhibiting Li dendrite *** NP,we fabricate Li symmetrical cells cycled for over 1600 h at 0.2.mA cm^(-2.and all-solid-state LiINP-LATPI LiFePO_(4)batteries,achieving a remarkable 99.3%capacity retention after 2.0 cycles at 0.2.*** work outlines a general strategy for designing long-lasting and stable solid-state Li metal batteries.

关键词： All-solid-state Li metal battery MOF-based polymeric layer Li dendrite Interfacial contact LATP electrolyte stability

N-glycan biosignatures as a potential diagnostic biomarker for earlystage pancreatic cancer

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 659-669页

作者： Yan-Rong Wen xia-Wen Lin Yu-Wen Zhou Lei Xu Jun-Li Zhang Cui-Ying chen Jian He Department of Nuclear Medicine Nanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjing 210008Jiangsu ProvinceChina Department of Research and Development Sysdiagno(Nanjing)Biotech Co.LtdNanjing 210008Jiangsu ProvinceChina

BACKGROUND Pancreatic ductal adenocarcinoma(PDAC)has a poor prognosis,with a 5-year survival rate of less than 10%,owing to its late-stage *** detection of pancreatic cancer(PC)can significantly increase survival *** To identify the serum biomarker signatures associated with early-stage PDAC by serum N-glycan *** An extensive patient cohort was used to determine a biomarker signature,in-cluding patients with PDAC that was well-defined at an early stage(stages I and II).The biomarker signature was derived from a case-control study using a case-cohort design consisting of 2. patients with stage I,2. with stage II,4 with stage III,16 with stage IV PDAC,and 88 *** used multiparametric analysis to identify early-stage PDAC N-glycan signatures and developed an N-glycan sig-nature-based diagnosis model called the“Glyco-model”.RESULTS The biomarker signature was created to discriminate samples derived from patients with PC from those of controls,with a receiver operating characteristic area under the curve of *** addition,the biomarker signature combined with cancer antigen 19-9 could discriminate patients with PDAC from controls,with a receiver operating characteristic area under the curve of ***-model demonstrated favorable diagnostic performance in all stages of *** diagnostic sensitivity for stage I PDAC was 89.66%.Core Tip:This study employed a patient cohort to investigate the N-glycan signature of early-stage pancreatic cancer(PC).Serum N-glycans analysis was conducted to identify the serum biomarker signature associated with early-stage pancreatic ductal adenocarcinoma(PDAC),resulting in the identification of nine early-stage PDAC N-glycan ***,utilizing these biosignatures,a diagnostic model named the“Glyco-model”was developed,demonstrating promising diagnostic performance across all stages of *** study revealed that the diagnostic sensitivity for stage I PDAC was determined to be 89.66%.Co

关键词： Glycomics N-glycans Biomarkers Pancreatic cancer Predictive modeling

Theoretical Exploration of Alloying Effects on Stabilities and Mechanical Properties ofγʹPhase in Novel Co–Al–Nb-Base Superalloys

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Acta Metallurgica Sinica(English Letters) 2024年第7期37卷 1238-1248页

作者： Guan-cheng Gu Zhao-Jing Han Ze-Yu chen Zhao-Xuan Li Sheng-Bao {2. Zheng-Ning Li Hua Jin Wei-Wei Xu Xing-Jun Liu Shenzhen Research Institute of xiamen university School of Aerospace EngineeringXiamen UniversityXiamen361005China Institute of Materials Genome and Big Data Harbin Institute of TechnologyShenzhen518055China

The new developedγ/γʹCo–Al–Nb-base alloys show great potentials as high-temperature ***,finding appropriate compositions to improve performance of alloys still poses a great challenge to the development of Co–Al–Nb-base *** by the lack of alloying effects on fundamental properties of criticalγʹphase,we systematically performed a theoretical investigation on the effect of alloying elements TM(TM:Ti,V,Cr,Zr,Mo,Ta,W,Re,and Ru)on phase stabilities and mechanical properties of L1_(2.-typeγʹ(Co,Ni)_(3)(Al,Nb).By analyzing the stability ofγʹphase with respect to its competitive B2.and D0_(19) phases,the results shown that Ti,V,and Cr enhance the L1_(2. stability and widen the L1_(2.–D0_(19) energy barrier,in which V yields the maximum *** analysis of electronic structure indicated that the alternation of valence electrons at fermi level would be the atomic origin for doping TM inγʹ*** calculated results of mechanical properties shown that V and Cr are expected to be optimal dopant for enhancing the strength and the ductility ofγʹ*** addition of Ta is also beneficial for enhancing the strength at the slight expense of ductility ofγʹ*** drawing the mechanical maps,the preferred composition range for the phases with desired properties is roughly demarcated in theory for the multi-addition of V/Cr and V/Ta inγʹ*** findings would be useful for optimizing the performance of novelγ/γʹCo–Al–Nb-base superalloys.

关键词： Co-Al-Nb-base superalloys γ/γʹdual-phase Phase stability Mechanical properties First-principle methods

NEATmap: a high-efficiency deep learning approach for whole mouse brain neuronal activity trace mapping

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National Science Review 2024年第5期11卷 202-216页

作者： Weijie Zheng Huawei Mu Zhiyi chen Jiajun Liu Debin xia Yuxiao cheng Qi Jing Pak-Ming Lau Jin Tang Guo-Qiang Bi Feng Wu Hao Wang AHU-IAI AI Joint Laboratory Anhui University Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing Institute of Artificial IntelligenceHefei Comprehensive National Science Center National Engineering Laboratory for Brain-inspired Intelligence Technology and Application School of Information Science and TechnologyUniversity of Science and Technology of China Division of Life Sciences and Medicine University of Science and Technology of China Interdisciplinary Center for Brain Information Brain Cognition and Brain Disease InstituteShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Shenzhen Institute of Advanced Technology Chinese Academy of Sciences

Quantitative analysis of activated neurons in mouse brains by a specific stimulation is usually a primary step to locate the responsive neurons throughout the brain. However, it is challenging to comprehensively and consistently analyze the neuronal activity trace in whole brains of a large cohort of mice from many terabytes of volumetric imaging data. Here, we introduce NEATmap, a deep learning–based high-efficiency,high-precision and user-friendly software for whole-brain neuronal activity trace mapping by automated segmentation and quantitative analysis of immunofluorescence labeled c-Fos+neurons. We applied NEATmap to study the brain-wide differentiated neuronal activation in response to physical and psychological stressors in cohorts of mice.

关键词： whole-brain imagingneuronal activity trace mapping deep learning quantitative analysis

Improvement for creep strength of a second-generation single crystal superalloy by design of heat treatments

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Rare Metals 2024年第1期43卷 342-350页

作者： Wan-Shun xia Xin-Bao Zhao Jia-chen Xu Quan-Zhao Yue Qing-Qing Ding Huan-Chang Duan Yue-Feng Gu Hong-Bin Bei Ze Zhang Institute of Superalloys Science and Technology School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China State Key Laboratory of Silicon and Advanced Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China

Design of heat treatments is related to the key technology for development of nickel-based single crystal superalloys(Ni-SXs). Based on the full understanding of the solidification characteristics, this work applies optimization design of heat treatments for a second-generation Ni-SX. Microstructure evolution and creep properties are compared in the material under conventional/standard(Std.) and optimized(Opt.) treatments. For the Std. sample,strong dendritic segregations determine inconsistent microstructure evolution in the dendritic(D) and interdendritic region(ID), while the latter serves as weak area to have the prior microcrack initiation, damaging overall performance of the alloy. The Opt. treatment applies higher homogenization temperature, leading to overall reduced segregations, while not inducing incipient melting. A lower temperature of first-step ageing is used to lower the size ofγ'particles. These help to form the more uniform microstructure in dendritic and interdendritic region and relieve the inconsistent microstructure evolution. The balanced local strength makes ID no longer as the weak area,thus restricting microcrack initiation. Great improvement of high temperature and low stress property is obtained by this progress, leading to the pronounced increase of creep rupture life under 1100 °C/140 MPa.

关键词： Single crystal superalloy Heat treatment Segregation Solidification Creep property

Exploration of cyclooxygenase-2.inhibitory peptides from walnut dreg proteins based on in silico and in vitro analysis

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Food Science and Human Wellness 2024年第3期13卷 1636-1644页

作者： Zishan Hong Jing Xie Liang Tao Jing-Jing Dai Tingting Li Li Zhang Yuying Bai xia Hu Jinlian chen Jun Sheng Yang Tian College of Food Science and Technology Yunnan Agricultural UniversityKunming 650201China Yunnan Provincial Key Laboratory of Precision Nutrition and Personalized Food Manufacturing Yunnan Agricultural UniversityKunming 650201China Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources Ministry of EducationYunnan Agricultural UniversityKunming 650201China school of Tea and Coffee Pu’er UniversityPu’er 665000China Yunnan Provincial Engineering Research Center for Edible and Medicinal Homologous Functional Food Yunnan Agricultural UniversityKunming 650201China Key Laboratory of Pu-er Tea Science Ministry of EducationYunnan Agricultural UniversityKunming 650201China

Walnut dreg protein hydrolysates(WDPHs)exhibit a variety of biological activities,however,the cyclooxygenase-2.COX-2.inhibitory peptide of WDPHs remain *** aim of this study was to rapidly screen for such peptides in WDPHs through a combination of in silico and in vitro *** total,12.2.peptide sequences were observed by nano liquid chromatography/tandem mass spectrometry(nano LC-MS/MS)and 4 novel COX-2.inhibitory peptides(AGFP,FPGA,LFPD,and VGFP)were *** kinetic data indicated that AGFP,FPGA,and LFPD displayed mixed-type COX-2.inhibition,whereas VGFP was a non-competitive *** is mainly because the peptides form hydrogen bonds and hydrophobic interactions with residues in the COX-2.active *** results demonstrate that computer analysis combined with in vitro evaluation allows for rapid screening of COX-2.inhibitory peptides in walnut protein dregs.

关键词： Walnut dreg proteins Cyclooxygenase-2.inhibitory peptide Identification Virtual screening Molecular docking