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15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Lin, Xiaosong Hu, Niaoqing Yin, Zhengyang Zhou, Zuanbo Hu, Jiangtao Qiu, Demin Yang, Yi College of Intelligence Science and Technology National University of Defense Technology Laboratory of Science and Technology on Integrated Logistics Support Changsha China Key Laboratory of Astronautic Dynamics Xi'an China

ISBN: (纸本)9798350354010

Rolling bearing failure will affect the normal operation of the mechanical equipment. Effective early failure diagnosis can avoid unnecessary losses caused by bearing fault. A fault diagnostic method of rolling bearing relying on Feature Mode Decomposition (FMD) and Convolutional Neural Network (CNN) is proposed in this article. Firstly, the effective fault feature information in rolling bearing vibration signal will be extracted by FMD method, and then the collected feature information is introduced into the CNN framework to effectively classify different types of faults of rolling bearing. This method is of practical significance for the fault classification of rolling bearing under the strong background noise. © 2024 IEEE.

关键词： Convolutional neural networks

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Single-neuron projectome-guided analysis reveals the neural circuit mechanism underlying endogenous opioid antinociception

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National science Review 2024年第7期11卷 106-125页

作者： Yan-Nong Dou Yuan Liu Wen-Qun Ding Qing Li Hua Zhou Ling Li Meng-Ting Zhao Zheng-Yi-Qi Li Jing Yuan Xiao-Fei Wang Wang-Yuan Zou Anan Li Yan-Gang Sun Institute of Neuroscience Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology CAS Center for Excellence in Brain Science&Intelligence Technology Chinese Academy of Sciences Department of Biology School of Life Science and TechnologyShanghaiTech University Lingang Laboratory University of Chinese Academy of Sciences Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsMoE Key Laboratory for Biomedical Photonics Huazhong University of Science and Technology Department of Anesthesiology Xiangya HospitalCentral South University HUST-Suzhou Institute for Brainsmatics JITRI

Endogenous opioid antinociception is a self-regulatory mechanism that reduces chronic pain, but its underlying circuit mechanism remains largely unknown. Here, we showed that endogenous opioid antinociception required the activation of mu-opioid receptors（MORs） in GABAergic neurons of the central amygdala nucleus（CEA） in a persistent-hyperalgesia mouse model. Pharmacogenetic suppression of these CEAMORneurons, which mimics the effect of MOR activation, alleviated the persistent ***, single-neuron projection analysis revealed multiple projectome-based subtypes of CEAMORneurons, each innervating distinct target brain regions. We found that the suppression of axon branches projecting to the parabrachial nucleus（PB） of one subtype of CEAMORneurons alleviated persistent hyperalgesia, indicating a subtype-and axonal-branch-specific mechanism of action. Further electrophysiological analysis revealed that suppression of a distinct CEA-PB disinhibitory circuit controlled endogenous opioid antinociception. Thus, this study identified the central neural circuit that underlies endogenous opioid antinociception, providing new insight into the endogenous pain modulatory mechanisms.

关键词： endogenous opioid antinociception mu-opioid receptors central amygdala nucleus parabrachial nucleus single-neuron projectome

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Improving lipid production by Rhodotorula glutinis for renewable fuel production based on machine learning

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Frontiers of Chemical science and Engineering 2024年第5期18卷 23-35页

作者： Lihe Zhang Changwei Zhang Xi Zhao Changliu He Xu Zhang National Energy R&D Center for Biorefinery Beijing University of Chemical TechnologyBeijing 100029China Collage of Life Science and Technology Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of Bioprocess Beijing University of Chemical TechnologyBeijing 10029China

Microbial lipid fermentation encompasses intricate complex cell growth processes and heavily relies on expert experience for optimal *** modeling of the fermentation process assists researchers in making intelligent decisions,employing logical reasoning and strategic planning to optimize lipid *** this study,the effects of medium components and concen-trations on lipid fermentation were investigated,*** then,leveraging the collated data,a variety of machine learning algorithms were used to model and optimize the lipid fermentation *** models,based on artificial neural networks and support vector machines,achieved R?values all higher than 0.93,ensuring accurate predictions of the fermentation *** linear regression was used to evaluate the respective target parameter,which were affected by the medium components of lipid ***,single and multi-objective optimiza-tion were conducted for lipid fermentation using the genetic *** results demonstrated the maximum biomass of 50.3 g·L^(-1) and maximum lipid concentration of 14.1 g:L^(-1) with the error between the experimental and predicted values less than 5%.The results of the multi-objective optimization reveal the synergistic and competitive relationship between biomass,lipid concentration,and conversion rate,which lay a basis for in-depth optimization and amplification.

关键词： microbial lipid machine learning artificial neural network support vector machine genetic algorithm

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3D genome structural variations play important roles in regulating seed oil content of Brassica napus

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Plant Communications 2024年第1期5卷 101-115页

作者： Libin Zhang Lin Liu Huaixin Li Jianjie He Hongbo Chao Shuxiang Yan Yontai Yin Weiguo Zhao Maoteng Li College of Life Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Wuhan Frasergen Bioinformatics Co. Ltd.Wuhan 430075China Key Laboratory of Molecular Biophysics of the Ministry of Education Hubei Bioinformatics and Molecular Imaging Key LaboratoryWuhan 430074China

Dissecting the complex regulatory mechanism of seed oil content(SOC)is one of the main research goals in Brassica *** evidence suggests that genome architecture is linked to multiple biological ***,the effect of genome architecture on SOC regulation remains ***,we used high-throughput chromatin conformation capture to characterize differences in the three-dimen-sional(3D)landscape of genome architecture of seeds from two *** lines,N53-2(with high SOC)and Ken-C8(with low SOC).Bioinformatics analysis demonstrated that differentially accessible regions and differentially expressed genes between N53-2 and Ken-C8 were preferentially enriched in regions with quantitative trait loci(QTLs)/associated genomic regions(AGRs)for SOC.A multi-omics analysis demonstrated that expression of SOC-related genes was tightly correlated with genome structural varia-tions in QTLs/AGRs of *** candidate gene BnaA09g48250D,which showed structural variation in a QTL/AGR on chrA09,was identified byfine-mapping of a KN double-haploid population derived from hybridization of N53-2 and *** and knockout of BnaA09g48250D led to significant in-creases and decreases in SOC,respectively,in the transgenic *** together,our results reveal the 3D genome architecture of *** seeds and the roles of genome structural variations in SOC regulation,enriching our understanding of the molecular mechanisms of SOC regulation from the perspective of spatial chromatin structure.

关键词： Brassica napus seed oil content Hi-C QTLfine-mapping genome structural variation

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NUMERICAL SIMULATION OF IMPACT OF EJECTION SEAT ROCKET MOTOR IGNITION SHOCK WAVES ON AIRCRAFT WINDSHIELD LOADING

NUMERICAL SIMULATION OF IMPACT OF EJECTION SEAT ROCKET MOTOR...

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2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024

作者： Wu, Liang Jin, Lou Xu, Hang Wu, Yibin Overall Technology R&D Department AVIC Aerospace Life-support Industries Ltd. Xianyang441000 China Aviation Key Laboratory of Science and Technology on Life-support Technology Xianyang441000 China Ejection Lifesaving Technology R&D Department AVIC Aerospace Life-support Industries Ltd. Xianyang441000 China

Aircraft windshield fragmentation during seat ejection can adversely affect crew ejection from the aircraft safety. In this paper, the shock wave loads caused by the firing of an ejection seat rocket motor were simulated numerically, and the numerical simulation flow was designed with the dynamic grid technique. The results show that the pressure peak of the inner surface monitoring point at the front end of the windshield is 9.4% lower compared with the test value at the same location when the rocket engine is firing at 0 km/h velocity ejection, which proves the numerical simulation method feasible. The effects of rocket pack ignition shock waves on the aircraft windshield can be divided into shock wave loading phase and quasistatic pressure loading phase. The former has a large peak load and a short duration, while the latter has a small peak load and a long *** corners within the cockpit, converging phenomena occur during shock wave propagation, and the area near the cabin inner wall at the front and sides of the aircraft's windshield is more heavily loaded and has a higher risk of damage than other areas. The moment of maximum windshield loading for each calculated state is the moment of the first load peak. Due to the high velocity airflow blowing effect, the maximum windshield loading at 1100 km/h ejects is close to the zero velocity ejection value, acting in the opposite direction. The zero velocity ejection and impact loads at 1100 km/h eject should be emphasized in the windshield strength analysis. © The Institution of Engineering & technology 2024.

关键词： Ejection seats

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Pressure-Induced Pre-Lithiation Enables High-Performing Si Anodes in All-Solid-State Batteries

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Energy & Environmental Materials 2024年第6期7卷 1-3页

作者： Weifei Hu Yuanyuan Li Jinping Liu School of Chemistry Chemical Engineering and Life Science and State Key Laboratory of Advanced Technology for Materials Synthesis and ProcessingWuhan University of TechnologyWuhan 430070China School of Integrated Circuits Huazhong University of Science and TechnologyWuhan 430074China

A commentary on pressure-induced pre-lithiation towards Si anodes in allsolid-state Li-ion batteries(ASSLIBs)using sulfide electrolytes(SEs)is ***,feasible pre-lithiation technologies for Si anodes in SE-based ASSLIBs especially the significant pressure-induced pre-lithiation strategies are briefly ***,a recent achievement by Meng et *** this field is elaborated in ***,the significance of Meng’s work is discussed.

关键词： all-solid-state Li-ion batteries pre-lithiation pressure Si anode sulfide electrolyte

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Fe doping 1T phase MoS_(2)with enhanced zinc-ion storage ability and durability for high-performance aqueous zinc-ion batteries

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Rare Metals 2025年第1期44卷 253-263页

作者： Jing-Yi Liu Rong-Jie Zhe Zhan-Hong Peng Yi-Hui Song Lin-Xuan Yang Chen Qing Jun-Ling Guo Jin-Ping Liu Yunnan Key Laboratory of Opto-Electronic Information Technology College of Physics and Electronic Information TechnologyYunnan Normal UniversityKunming 650000China Country State Center for International Cooperation on Designer Low-Carbon and Environmental Materials School of Materials Science and EngineeringZhengzhou UniversityZhengzhou 450001China School of Chemistry Chemical Engineering and Life ScienceState Key Laboratory of Advanced Technology for Materials Synthesis and ProcessingWuhan University of TechnologyWuhan 430070China

As a promising cathode material for aqueous zinc-ion batteries,1T-MoS_(2)has been extensively investigated because of its facile two-dimensional ion-diffusion channels and high electrical ***,the limited number of available Zn storage sites,i.e.,limited capacity,hinders its application because the inserted Zn^(2+),which form strong electrostatic interactions with 1T-MoS_(2),preventing subsequent Zn^(2+)***,the approach of enlarging the interlayer distance to reduce electrostatic interactions has been commonly used to enhance the capacity and reduce Zn^(2+)migration ***,an enlarged interlayer spacing can weaken the van der Waals force between 1T-MoS_(2)monolayers,easily disrupting the structural ***,to address this issue,an effective strategy based on Fe doping is proposed for 1T-MoS_(2)(Fe-1T-MoS_(2)).The theoretical calculations reveal that Fe doping can simultaneously moderate the rate of decrease in the adsorption energy after gradually increasing the number of stored atoms,and enhance the electron delocalization on metal-O ***,the experiment results show that Fe doping can simultaneously activate more Zn storage sites,thus enhancing the capacity,and stabilize the structural stability for improved cycling ***,Fe-1T-MoS_(2)exhibits a larger capacity(189 mAh·g^(-1)at 0.1 A·g^(-1))and superior cycling stability(78%capacity retention after 400 cycles at 2 A·g^(-1))than pure 1T-MoS_(2).This work may open up a new avenue for constructing high-performance MoS_(2)-based cathodes.

关键词： Aqueous zinc-ion battery 1T-MoS_(2) Fe doping More Zn storage sites Enhanced structural stability

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Coordinated control of decarbonization efficiency and oxygen absorption rate in Ruhrstahl–Heraeus degasser based on mechanism model and BP neural network

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Journal of Iron and Steel Research International 2025年第3期32卷 606-618页

作者： Lu-heng Jiang Min Wang Jia-qi Zhao Cheng Yao Li-dong Xing Xin-gang Ai State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing100083China Technical Support Centre for Prevention and Control of Disastrous Accidents in Metal Smelting University of Science and Technology BeijingBeijing100083China Institute of Research of Iron&Steel Zhangjiagang215600JiangsuChina School of Materials and Metallurgy University of Science and Technology LiaoningAnshan114051LiaoningChina

A mathematical model of the decarburization reaction zone was established for the Ruhrstahl–Heraeus (RH) forced oxygen blowing decarburization process by Matlab R2022b software. For the problem of inaccurate prediction due to the large variation range of oxygen absorption rate under different process conditions, we statistically analyzed the main factors affecting the oxygen absorption rate. The backpropagation neural network was used to train and predict the oxygen absorption rate and was used to calculate the RH decarburization reaction zone model. We designed and developed a mathematical modeling software with process control of decarburization in RH degasser, which can realize the change of operating process parameters in the dynamic prediction process. The optimized mathematical model has more than 95% of the furnaces whose absolute error in calculation of carbon content is within ± 5 × 10^(−6), more than 90% of the heats whose relative error in calculation of oxygen content is within ± 15%, and the average absolute error of calculation of oxygen content is 26.4 × 10^(−6). Finally, we studied the influence of oxygen blowing timing, oxygen blowing volume and initial oxygen content on the forced decarburization process.

关键词： Ruhrstahl-Heraeus degasser Mathematical model Forced decarburization Oxygen absorption rate Process control

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Controllable fabrication of Ag/ZnO/g-C_(3)N_(4)nanofiber heterojunctions for enhanced photocatalytic water disinfection

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Frontiers of Materials science 2025年第1期19卷 1-15页

作者： Lian Feng Penghao Zhang Yuan Li Fangxin Ye Yanze Ma Gongtian He Mingyu Lv Tian Zhang School of Chemistry Chemical Engineering and Life ScienceWuhan University of TechnologyWuhan 430070China Wuhan University of Technology Sanya Science and Education Innovation Park Sanya 572024China State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China

With the accelerated development of urbanization,it is urgent to develop new green and effective fungicides for water disinfection,which can effectively sterilize without causing bacterial drug resistance and environmental *** this work,the new ternary nanofiber(NF)heterojunctions,Ag/ZnO/g-C_(3)N_(4)(Ag/ZCN),with high specific surface area were controllably fabricated through the photodeposition of different amounts of Ag quantum dots on electrospun ZCN ***/ZCN with 6 wt.%Ag was found to exhibit the highest antibacterial activity superior to that of ZCN and ZnO NFs,which completely killed *** or *** within 30 min under solar ***,it maintained high stability during four consecutive photocatalytic *** photocatalytic Z-scheme charge transportation mechanism of Ag/ZCN was confirmed through structure characterization and free radical capture *** was verified that the active oxygen substances such as∙OH,^(1)O_(2),and a certain amount of∙O_(2)^(−)were mainly produced in the photocatalytic sterilization ***,the Z-scheme NF heterojunction Ag/ZCN has great application potential in actual environmental water disinfection.

关键词： carbon nitride zinc oxide electrospinning photocatalytic antibacterial

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Boosted electromagnetic wave absorption performance from synergistic induced polarization of SiC_(NWs)@MnO_(2)@PPy heterostructures

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Nano Research 2023年第2期16卷 3558-3569页

作者： Meng Zhang Laibin Zhao Wenxin Zhao Ting Wang Liying Yuan Yuying Guo Yuxin Xie Tingting Cheng Alan Meng Zhenjiang Li College of Electromechanical Engineering Key Laboratory of Polymer Material Advanced Manufacturing’s Technology of Shandong provinceCollege of Materials Science and EngineeringQingdao University of Science and TechnologyQingdao 266061China Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOEShandong Key Laboratory of Biochemical AnalysisCollege of Gaomi CampusCollege of Chemistry and Molecular EngineeringQingdao University of Science and TechnologyQingdao 266042China

In the last decade,electromagnetic pollution has caused people’s considerable *** absorbing material with low cost,lightweight,simple preparation,and high electromagnetic attenuation efficiency has become a feasible means to deal with this *** this work,core–shell SiC_(NWs)@MnO_(2)@PPy(NWs:nanowires,PPy:polypyrrole)heterostructures composed of SiC nanowires core,MnO_(2)nanosheets inter-layer,and PPy coating were successfully prepared through chemical vapor deposition and two-step electrodeposition *** advantage of the interfacial polarization and dipole polarization,the obtained product displays excellent electromagnetic wave absorption performances with the minimum reflection loss(RLmin)of−50.59 dB when the matching thickness is 2.41 mm,and the optimal effective absorption bandwidth(EAB)value reaches to 6.64 GHz at a matching thickness of 2.46 mm,revealing that the SiC_(NWs)@MnO_(2)@PPy nanocomposite could be served as a promising electromagnetic wave absorbing *** the basis of systematic analysis concerning the electromagnetic parameters,the dissipation process of the incident electromagnetic wave was demonstrated reasonably,which may provide a referable preparation strategy for novel heterostructures,especially nonmagnetic lightweight absorbing material.

关键词： SiC nanowires heterostructure polarization loss electromagnetic wave absorption attenuation mechanism

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