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Green Energy & Environment 2024年第5期9卷 802-830页

作者： Zejian Liu Gongqi Liu Leilei cheng jing Gu Haoran Yuan Yong chen Yufeng Wu Guangzhou Institute of Energy Conversion Chinese Academy of Sciences(CAS)Guangzhou510640China School of Engineering Science University of Science and Technology of ChinaHefei230026China Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development Guangzhou510640China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing100124China

Clean and efﬁcient recycling of spent lithium-ion batteries(LIBs)has become an urgent need to promote sustainable and rapid development of human ***,we provide a critical and comprehensive overview of the various technologies for recycling spent LIBs,starting with lithium-ion power *** research on raw material collection,metallurgical recovery,separation and puriﬁcation is highlighted,particularly in terms of all aspects of economic efﬁciency,energy consumption,technology transformation and policy *** and pathways for transformative full-component recovery of spent LIBs are explored,revealing a clean and efﬁcient closed-loop recovery *** methods are proposed for future recycling technologies,with a focus on how future research directions can be ***,based on life-cycle assessment,the challenges of future recycling are revealed from the LIBs supply chain and stability of the supply chain of the new energy battery industry to provide an outlook on clean and efﬁcient short process recycling *** work is designed to support the sustainable development of the new energy power industry,to help meet the needs of global decarbonization strategies and to respond to the major needs of industrialized recycling.

关键词： Spent LIBs Transformative recycling LCA analysis Policy guidance High value utilization

Character of Convective Systems Producing Short-Term Heavy Precipitation in Central China Revealed by Kilometer and Minute Interval Observations

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Journal of Meteorological Research 2024年第3期38卷 530-541页

作者： Zitong chen Yunying LI Zhiwei ZHANG jing SUN chengzhi YE Anyuan XIONG College of Meteorology and Oceanography National University of Defense TechnologyChangsha410073China High Impact Weather Key Laboratory of China Meteorological Administration Changsha410073China Unit No.92192 of Chinese People’s Liberation Army Ningbo315000China Hubei Key Research Laboratory for Heavy Rain Monitoring and Warning Institute of Heavy RainChina Meteorological AdministrationWuhan430223China Institute of Meteorological Sciences of Hunan Province Hunan Meteorological BureauChangsha410118China National Meteorological Information Centre China Meteorological AdministrationBeijing100081China

Accurate forecasting of heavy precipitation in central China is still a challenge,within which a key issue is our still incomplete understanding of the convective systems(CSs)responsible for such *** this study,through use of an iterative rain-cell tracking algorithm,the macroscale characteristics(scale,intensity,duration,etc.)of the CSs that produced 595 short-term heavy precipitation events in Hunan Province,central China,are quantitatively analyzed,based on radar reflectivity,echo top,and rainfall observations at 1-km and 6-min intervals in April-September of *** results show that CSs present significant seasonal and diurnal *** CSs usually cover a larger echo area with stronger convective cores and thus generate more precipitation than summer CSs,though summer CSs develop more vigorously and *** initiated at 1400-1600 local time are characterized by the strongest convection and a smaller spatiotemporal scale,causing violent and transient showers with typical areal precipitation of 0.5-1 mm km^(−2),but less total *** analyses of the relationships among the scale,intensity,duration,and total precipitation of CSs reveal that the convective intensity is linearly correlated to the spatiotemporal scale of CSs,with the duration increasing on average by 0.0372 h dBZ^(−1);the echo area is significantly correlated to the total precipitation,and the duration and rainfall amount are connected with the area expansion rate(AER)of CSs:when the AER exceeds 50%,CSs expand rapidly with increasing total precipitation,but the duration is *** findings provide a helpful reference for the forecasting of short-term heavy precipitation induced by CSs in central China.

关键词： convective system radar reflectivity factor total precipitation iterative rain-cell tracking

Effect of slag composition on kinetic behavior of deep deoxidation of 5 wt.% Si high-silicon austenitic stainless steel

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Journal of Iron and Steel Research International 2024年第8期31卷 1873-1885页

作者： Guan-xiong Dou Han-jie Guo jing Guo Xue-cheng Peng Qing-yun chen School of Metallurgical and Ecological Engineering University of Science and Technology Beijing(USTB)Beijing 100083China Beijing Key Laboratory of Special Melting and Preparation of High-End Metal Materials Beijing 100083China

Based on a thermodynamic study of 5 wt.%Si high-silicon austenitic stainless steel(SS-5Si)smelting using CaF_(2)-CaO-Al_(2)0_(3)-Mg-Si0_(2) slag to obtain a low oxygen content of less than 10×10^(-4) wt.%,a kinetic mass transfer model for deep deoxidation was established through laboratory studies,and the effects of slag components and temperature on deoxidation during the slag-steel reaction process of sS-5Si were systematically *** experimental data verified the accuracy of the model *** results showed that the final oxygen content in the steel at 1873 K was mainly controlled by the oxygen content derived from the activity of SiO_(2) regulated by the[Si]-[O]equilibrium reaction in the slag system;in particular,when the slag basicity R(R=w(CaO)/w(SiO2),where w(CaO)and w(SiO_(2))are the contents of CaO and SiO_(2) in the slag,respectively)is 3,the Al2O3 content in the slag needs to be less than 2.7%.The mass transfer rate equation for the kinetics of the deoxidation reaction revealed that the mass transfer of oxygen in the liquid metal is the rate-controlling step under different slag conditions at 1873 K,and the oxygen transfer coefficient ko.m increases with increasing the slag basicity from 4.0×10^(-6)m s^(-1)(R=1)to 4.3×10^(-5) m s^(-1)(R=3).ko.m values at R=2 and R=3 are almost the same,indicating that high slag basicity has little *** integral of the mass transfer rate equation for the deoxidation reaction of SS-5Si under different slag conditions is *** total oxygen content of the molten steel decreases with increasing basicity from an initial content of 22×10^(-4) to 3.2×10^(-4) wt.%(R=3),consistent with the change in ko.m with slag *** R=2,the slag-steel reaction takes 15 min to reach equilibrium(w[O]=5.5×10^(-4) wt.%),whereas at R=3,the slag-steel reaction takes 30 min to reach equilibrium(w[0]=3.2×10^(-4) wt.%).Considering the depth of deoxidation and reaction time of SS-5Si smelting,it is recommended the slag b

关键词： Slag-steel reaction Kinetics Rate-controlling step Deep deoxidation Transfer coefficient

Analysis of RNA Recognition and Binding Characteristics of OsCPPR1 Protein in Rice

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Rice science 2024年第2期31卷 215-225,I0032-I0035页

作者： ZHENG Shaoyan chen Junyu LI Huatian LIU Zhenlan LI jing ZHUANG Chuxiong State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources/Guangdong Laboratory for Lingnan Modern Agriculture/College of Life Sciences South China Agricultural UniversityGuangzhou 510642China

Pentatricopeptide repeat(PPR)proteins represent one of the largest protein families in plants and typically localize to organelles like mitochondria and *** contrast,CYTOPLASMLOCALIZED PPR1(OsCPPR1)is a cytoplasm-localized PPR protein that can degrade OsGOLDENLIKE1(OsGLK1)mRNA in the tapetum of rice ***,the mechanism,by which OsCPPR1 recognizes and binds to OsGLK1 transcripts,remains *** protein structure prediction and macromolecular docking experiments,we observed that distinct PPR motif structures of OsCPPR1 exhibited varying binding efficiencies to OsGLK1 ***,RNA-electrophoretic mobility shift assay experiment demonstrated that the recombinant OsCPPR1 can directly recognize and bind to OsGLK1 mRNA in *** further confirmed that the mutations in the conserved amino acids in each PPR motif resulted in loss of activity,while truncation of OsCPPR1 decreased its binding *** findings collectively suggest that it may require some co-factors to assist in cleavage,a facet that warrants further exploration in subsequent studies.

关键词： OsCPPR1 RNA recognition and binding pentatricopeptide repeat rice

Nonlinear proinflammatory effect of short-term PM_(2.5)exposure:A potential role of lipopolysaccharide

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Journal of Environmental Sciences 2024年第2期136卷 292-300页

作者： Fangxia Shen Mutong Niu Haoxuan chen Ting Zhang jing Li Haijie Tong yan Wu School of Space and Environment Beihang UniversityBeijing 100191China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China Institute of Surface Science Helmholtz-Zentrum HereonGeesthacht 21502Germany School of Environmental Science and Engineering Shandong UniversityJinan 250100China

The association between PM_(2.5)(particulate matter≤2.5μm)short-term exposure and its health effect is non-linear from the epidemiological *** this nonlinearity is suggested to be related with the PM_(2.5)heterogeneity,however,the underlying biological mechanism is still ***,a total of 38 PM_(2.5)filters were collected continuously for three weeks in winter Beijing,with the ambient PM_(2.5)varying between 10 and 270μg/m^(3).Human monocytes-derived macrophages(THP-1)were treated with PM_(2.5)water-soluble elutes at10μg/mL to investigate the PM_(2.5)short-term exposure effect from a proinflammatory *** proinflammatory cytokine tumor necrosis factor(TNF)induced by the PM_(2.5)elutes at equal concentrations were unequal,showing the heterogeneity of PM_(2.5)proinflammatory *** the various chemical and biological components,lipopolysaccharide(LPS)showed a strong positive association with the TNF ***,some outliers were observed among the TNF-LPS ***,for PM_(2.5)from relatively clean air episodes,the higher LPS amount corresponded to relatively low TNF *** this phenomenon was also observed in the promotion tests by treating macrophages with PM_(2.5)elutes dosed with additional trace *** expression analysis indicated the involvement of oxidative-stress related genes in the LPS signaling ***,a potential oxidative-stress-mediated suppression on the PM_(2.5)-borne LPS proinflammatory effect was proposed to be accounted for the ***,the results showed the differential role of LPS in the heterogeneity of PM_(2.5)proinflammatory effects from a component-based *** experimental studies are needed to elucidate the signaling pathway of LPS attached on PM_(2.5)from different air quality episodes.

关键词： Fine PM PM_(2.5)pro-inflammatory effects Aerosol health effect Endotoxin Oxidative stress

High-chromium vanadium-titanium magnetite all-pellet integrated burden optimization and softening-melting behavior based on flux pellets

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International Journal of Minerals,Metallurgy and Materials 2024年第3期31卷 498-507页

作者： Bojian chen Tao Jiang jing Wen Guangdong yang Tangxia Yu Fengxiang Zhu Peng Hu School of Metallurgy Northeastern UniversityShenyang 110819China Key Laboratory for Ecological Metallurgy of Multimetallic Mineral(Ministry of Education) Northeastern UniversityShenyang 110819China Liaoning Key Laboratory for Metallurgical Sensor and Technology Shenyang 110819China State key laboratory of vanadium and titanium resources comprehensive utilization Panzhihua 617000China

High-chromium vanadium-titanium magnetite(HVTM)is a crucial polymetallic-associated resource to be *** allpellet operation is a blast furnace trend that aims to reduce carbon dioxide emissions in the *** referencing the production data of vanadium-titanium magnetite blast furnaces,this study explored the softening-melting behavior of high-chromium vanadium-titanium magnetite and obtained the optimal integrated burden based on flux *** results show that the burden with a composition of 70wt%flux pellets and 30wt%acid pellets exhibits the best softening-melting *** comparison to that of the single burden,the softening-melting characteristic temperature of this burden composition was *** melting interval first increased from 307 to 362℃and then decreased to 282℃.The maximum pressure drop(ΔPmax)decreased from 26.76 to 19.01 *** permeability index(S)dropped from 4643.5 to 2446.8 kPa·℃.The softening-melting properties of the integrated burden were apparently *** acid pellets played a role in withstanding load during the softening *** flux pellets in the integrated burden exhibited a higher slag melting point,which increased the melting temperature during the melting *** slag homogeneity and the TiC produced by over-reduction led to the gas permeability deterioration of the single *** segregation of the flux and acid pellets in the HVTM proportion and basicity mainly led to the better softening-melting properties of the integrated burden.

关键词： high-chromium vanadium-titanium magnetite softening-melting properties all pellets integrated burden flux pellets

Triterpenoids-templated self-assembly nanosystem for biomimetic delivery of CRISPR/Cas9 based on the synergy of TLR-2 and ICB to enhance HCC immunotherapy

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3205-3217页

作者： Bing-chen Zhang Chun-Mei Lai Bang-Yue Luo jing-Wei Shao Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy College of ChemistryFuzhou UniversityFuzhou 350116China Department of Laboratory Medicine Dongguan Institute of Clinical Cancer Researchthe Tenth Affiliated Hospital of Southern Medical University(Dongguan People’s Hospital)Dongguan 523058China College of Materials and Chemical Engineering MinjiangUniversityFuzhou350108China

Combination immunotherapy has shown promising potential for enhancing the objective response rate compared to immune checkpoint blockade(ICB)***,combination therapy with multi-drugs is limited by the different properties of the agents and inconsistent synergistic targeted ***,based on a universal triterpene template and the anticancer active agent ursolic acid(UA),a cytomembrane-coated biomimetic delivery nanoplatform(UR@M)prepared by the selfassembly of a PD-L1 targeted CRISPR/Cas9 system and UA was designed for hepatocellular carcinoma(HCC)***@M showed enhanced tumor accumulation in vivo with homologous tumor targeting,and CRISPR in the nanosystem exhibited potent gene-editing efficiency of 76.53% in vitro and 62.42% in vivo with no off-target *** activated the natural immune system through the TLR-2-MyD88-TRAF6 pathway,which synergistically enhanced the proliferation of natural killer cells and dendritic cells and realized excellent immune cytotoxic T cell infiltration by combining with the ICB of *** strategy of work along both lines based on innate immune and adaptive immunity displayed a significant effect in tumor ***,the UA-templated strategy“killed three birds with one stone”by establishing a self-assembly nanosystem,inducing tumor cell death,and promoting synergistic immunostimulation for HCC treatment.

关键词： Ursolic acid Self-assembly Biomimetic nanoplatform Hepatocellular carcinoma CRISPR/Cas9 Immune checkpoint blockade Gene therapy Immunotherapy

A function-based behavioral modeling method for air combat simulation

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Journal of Systems Engineering and Electronics 2024年第4期35卷 945-954页

作者： WANG Tao ZHU Zhi ZHOU Xin jing Tian chen Wei College of Systems Engineering National University of Defense TechnologyChangsha 410073China Institute of Communication and Navigation Air Force Research AcademyBeijing 100085China

Today’s air combat has reached a high level of uncertainty where continuous or discrete variables with crisp values cannot be properly represented using fuzzy sets. With a set of membership functions, fuzzy logic is well-suited to tackle such complex states and actions. However, it is not necessary to fuzzify the variables that have definite discrete ***, the aim of this study is to improve the level of model abstraction by proposing multiple levels of cascaded hierarchical structures from the perspective of function, namely, the functional decision tree. This method is developed to represent behavioral modeling of air combat systems, and its metamodel,execution mechanism, and code generation can provide a sound basis for function-based behavioral modeling. As a proof of concept, an air combat simulation is developed to validate this method and the results show that the fighter Alpha built using the proposed framework provides better performance than that using default scripts.

关键词： air combat behavioral modeling intelligent agent

Used car price prediction based on XGBoost and retention rate

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The Journal of China Universities of Posts and Telecommunications 2024年第3期31卷 72-79页

作者： Shen Yutian chen Jian Dai Min Zhang Sirui Xu jing Wang Qing College of Mechanical Engineering Yangzhou UniversityYangzhou 225127China College of Economics and Management Southeast University Chengxian CollegeNanjing 210088China Shandong Shuncheng Automobile Trade Co. LtdJinan 250000China

In order to improve the accuracy of used car price prediction,a machine learning prediction model based on the retention rate is proposed in this ***,a random forest algorithm is used to filter the variables in the *** main characteristic variables that affect used car prices,such as new car price,service time,mileage and so on,are filtered ***,the linear regression classification method is introduced to classify the test data into high and low retention rate *** that,the extreme gradient boosting(XGBoost)regression model is built for the two datasets *** prediction results show that the comprehensive evaluation index of the proposed model is 0.548,which is significantly improved compared to 0.488 of the original XGBoost ***,compared with other representative machine learning algorithms,this model shows certain advantages in terms of mean absolute percentage error(MAPE),5%accuracy rate and comprehensive evaluation *** a result,the retention rate-based machine learning model established in this paper has significant advantages in terms of the accuracy of used car price prediction.

关键词： random forest data dimensionality reduction extreme gradient boosting(XGBoost) retention rate price prediction

Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 344-361页

作者： Yunfeng Hu Chong Zhang Bo Wang jing Zhao Xun Gong Jinwu Gao Hong chen State Key Laboratory of Automotive Simulation and Control Jilin UniversityJilin UniversityChangchun 130025China College of Communication Engineering Jilin UniversityJilin UniversityChangchun 130025China Department of Electromechanical Engineering University of MacaoMacao 999078China School of Artificial Intelligence Jilin UniversityChangchun 130012China IEEE College of Electronics and Information Engineering Tongji UniversityShanghai 200092China

Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control(ILC) scheme based on the zeroing neural networks(ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer(IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.

关键词： Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems