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Journal of Iron and Steel research(International) 2024年第5期31卷 1127-1138页

作者： Hao Li Hong-mei Chen Xu Zhang Qian-hao Zang Jing Zhang Di Feng Yan-xin Qiao Yu-hang Guo School of Materials science and Engineering Jiangsu University of Science and TechnologyZhenjiang212100JiangsuChina School of Metallurgy and Materials Engineering Jiangsu University of Science and TechnologySuzhou215600JiangsuChina

The solidification methods of electromagnetic stirring(EMS)and non-electromagnetic stirring were employed to prepare Mg–6Gd–3Y–xZn–0.6Zr(x=1,1.5,2,3)alloys.The evolution of alloy microstructures and the changes in properties were analyzed for different Zn contents.It has been observed that in alloys without electromagnetic stirring,as the Zn content increases,the alloy structure gradually refines.The primary second phase transitions from Mg5RE phase to long-period stacking ordered(LPSO)phase,resulting in improved hardness and elongation.In alloys subjected to electromagnetic stirring,there is a relatively higher content of the second phase,primarily consisting of LPSO phase.After applying electromagnetic stirring,the quantity and the type of LPSO phase in the alloy change.The alloy structure becomes more uniform with electromagnetic stirring,resulting in increased hardness and reduced hardness gradients within the grains.The mechanical properties of alloys with electromagnetic stirring are superior to those without electromagnetic stirring.

关键词： Rare earth magnesium alloy LPSO phase Electromagnetic stirring Casting Property

Examining the Spatiotemporal Dynamics and Determinants of Land Urbanization in Prefecture-level Cities,China

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Chinese Geographical science 2024年第1期34卷 19-33页

作者： YANG Zhen ZHU Huxiao ZHANG Xinlin OU Xiangjun School of Geography Geomatics and Planning&Urban-rural Integration Development Research InstituteJiangsu Normal UniversityXuzhou221116China

Examining the spatiotemporal dynamics and determinants of land urbanization is critical for promoting healthy urban development and the rational use of land resources.Based on the dataset consisting of land use change data and selected factors in 2010 and2020,this study used visual analysis to reveal the spatiotemporal dynamics of land urbanization across prefecture-level cities in China.Meanwhile,the driving forces underlying land urbanization were examined by using geographical detector technique.Following are the findings:1)we find that there exist notable spatial variances in land urbanization across prefecture-level cities.Currently,the differentiation in land urbanization between the northern and southern cities is more pronounced than that between the coastal and inland cities,or between the eastern and western cities.Prefecture-level cities located in central and western China have experienced the most rapid growth in land urbanization.Conversely,the growth rate in northeastern China is the lowest,while the velocity in eastern China remains relatively stable.By using spatial autocorrelation analysis,this study reveals that the land urbanization level in prefecture-level cities has significant spatial agglomeration.2)We further find that land urbanization in China is influenced by factors related to urban land supply and demand,and urban population growth,economic growth,land financial and political incentive have greater impact on land urbanization than other factors.3)We also find that the impacts of determinants on China’s land urbanization vary over time,the explanatory power of economic development increased,while the explanatory power of state forces declined.We argue that integrating the supply and demand factors of land urbanization can provide a more comprehensive understanding of the driving mechanisms underlying land urbanization in China and other transitional countries,and help decision-makers in these countries formulate more detailed and specific land urbanization policies.

关键词： land urbanization spatial pattern influencing factor geographical detector China

Knowledge Graph Enhanced Transformers for Diagnosis Generation of Chinese Medicine

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Chinese Journal of Integrative Medicine 2024年第3期30卷 267-276页

作者： WANG Xin-yu YANG Tao GAO Xiao-yuan HU Kong-fa School of Artificial Intelligence and Information Technology Nanjing University of Chinese MedicineNanjing210023China School of Information Management Nanjing UniversityNanjing210023China jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor Nanjing210023China jiangsu Province Engineering research Center of TCM Intelligence Health Service Nanjing210023China

Chinese medicine(CM)diagnosis intellectualization is one of the hotspots in the research of CM modernization.The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues,however,it is difficult to solve the problems such as excessive or similar categories.With the development of natural language processing techniques,text generation technique has become increasingly mature.In this study,we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues.The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory(BILSTM)with Transformer as the backbone network.Meanwhile,the CM diagnosis generation model Knowledge Graph Enhanced Transformer(KGET)was established by introducing the knowledge in medical field to enhance the inferential capability.The KGET model was established based on 566 CM case texts,and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence(LSTM-seq2seq),Bidirectional and Auto-Regression Transformer(BART),and Chinese Pre-trained Unbalanced Transformer(CPT),so as to analyze the model manifestations.Finally,the ablation experiments were performed to explore the influence of the optimized part on the KGET model.The results of Bilingual Evaluation Understudy(BLEU),Recall-Oriented Understudy for Gisting Evaluation 1(ROUGE1),ROUGE2 and Edit distance of KGET model were 45.85,73.93,54.59 and 7.12,respectively in this study.Compared with LSTM-seq2seq,BART and CPT models,the KGET model was higher in BLEU,ROUGE1 and ROUGE2 by 6.00–17.09,1.65–9.39 and 0.51–17.62,respectively,and lower in Edit distance by 0.47–3.21.The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance.Additionally,the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the p

关键词： Chinese medicine diagnosis knowledge graph enhanced transformer text generation

Recent advances in photoelectrochemistry-coupled dual-modal biosensors:From constructions to biosensing applications

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Nano research 2024年第6期17卷 5512-5528页

作者： Yuxiang Dong Weisa Wang Changqing Ye Yanlin Song School of Materials science and Engineering Suzhou University of Science and TechnologySuzhou 215009China Key Laboratory of Green Printing Institute of ChemistryChinese Academy of SciencesBeijing 100190Chin

Precise and sensitive bioanalysis has been the major and urgent pursuit in pathologic diagnosis,food safety,environment monitoring,and drug evaluation.Photoelectrochemical(PEC)bioanalysis,as one of the most promising detection technologies,has rapidly expanded within the field of analysis.However,most of reported PEC analysis approaches still suffer from weak external anti-interference ability,high background,and the risk of false positive or negative errors due to their inherent single-signal readout.To overcome these shortcomings,new PEC-coupled dual-modal analysis approaches have been developed,where a dual-response signal can be derived through two completely different mechanisms and independent signal transduction pathways.This review introduces the basic principles of PEC biosensing and enumerates and classifies the substrate or probe selections,constructions,and applications of PEC-coupled dual-modal biosensors.Furthermore,the challenges and developmental prospects of PEC-coupled dual-mode sensing technologies are evaluated and discussed.We hope that this review will provide valuable insights into the latest advancements and practical applications of dual-mode PEC bioanalysis,which will be of great interest to those seeking to stay informed in this field.

关键词： photoelectrochemistry biosensor electrochemistry colorimetry electrochemiluminescence fluorescence dual-mode detection

Chemotactic nanomotor for multimodal combined therapy of glioblastoma

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science China Chemistry 2024年第4期67卷 1277-1288页

作者： Ting Li Lin Chen Yunxin Xue Xiangyu Xiao Wenjun Dai Kaiyuan Tan Tiantian Chen Yingfang Tao Chun Mao Jian Shen Mimi Wan National and Local Joint Engineering research Center of Biomedical Functional Materials School of Chemistry and Materials ScienceNanjing Normal UniversityNanjing 210023China

Glioblastoma(GBM) is the most aggressive malignant brain tumor. Due to the infiltration and heterogeneity of GBM, the obstruction of the blood-brain barrier(BBB) and the unique immunosuppressive mechanism, it is hard to achieve significant effects of GBM treatment. Here, a kind of chemotactic nanomotor that loaded with glucose oxidase(GOx) and carboxylated cisplatin(Pt(IV)) prodrug on the L-arginine-derived polymer is proposed. The nanomotors are driven by catalysis of glucose decomposition and the positive chemotaxis towards the GBM microenvironment where inducible nitric oxide synthase and reactive oxygen species are highly expressed. This facilitates the BBB crossing and GBM targeting of the nanomotors. In addition, the released nitric oxide(NO) during propulsion as well as the loaded GOx and Pt(IV) can exert combined NO/starvation/chemotherapy. Meanwhile, it is able to induce and enhance the immune response through multiple pathways, thus better coping with the complexities of GBM treatment.

关键词： chemotaxis combined therapy glioblastoma nanomotors

Morphological analysis for thermodynamics of cavitation collapse near fractal solid wall

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Chinese Physics B 2024年第6期33卷 422-432页

作者：单鸣雷杨雨阚雪芬殷澄韩庆邦 jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology Hohai UniversityChangzhou 213022China College of Information science and Technology Nanjing Forestry UniversityNanjing 210000China Department of Transportation Engineering Jiangsu Shipping CollegeNantong 226000China

A fractal geometric boundary with natural wall features is introduced into a hybrid lattice-Boltzmann-method(LBM)multiphase model. The physical model of cavitation bubble collapse near the irregular geometric wall is established to study the thermodynamic characteristics of the bubble collapse. Due to the lack of periodicity, symmetry, spatial uniformity and obvious correlation in the LBM simulation of the bubble collapse near the fractal wall, the morphological analysis based on Minkowski functional is introduced into the thermodynamic investigation of cavitation bubble so as to analyze and obtain the effective information. The results show that the Minkowski functional method can employed to study the temperature information in complex physical fields hierarchically and quantitatively. The high/low temperature region of the cavitation flow is explored, and thermal effect between irregular and fractal geometric wall and cavitation bubble can be revealed. It illustrates that LBM and morphological analysis complement each other, and morphological analysis can also be used as an optional and potential tool in research field of complex multiphase flows.

关键词： lattice Boltzmann method cavitation bubble morphological analysis

An aqueous rechargeable Fe//LiMn_(2)O_()hybrid battery with superior electrochemical performance beyond mainstream Fe-based batteries

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Nano research 2024年第6期17卷 5168-5178页

作者： Yu Liu Dehui Xie Yuxin Shi Rongguan Lv Yingna Chang Yuzhen Sun Zhiyuan Zhao Jindi Wang Kefan Song Huayu Wu Tuan K.A.Hoang Rong Xing Huan Pang Institute of New Energy on Chemical Storage and Power Sources School of Chemical and Environmental EngineeringYancheng Teachers UniversityYancheng 224000China School of Chemistry and Chemical Engineering Yangzhou UniversityYangzhou 225009China Department of Chemical Engineering University of Waterloo200 University Avenue WestWaterlooOntario N2L 3G1Canada

Aqueous rechargeable batteries(ARBs)are generally safer than non-aqueous analogues,they are also less-expensive,and more friendly to the environment.However,the inherent disadvantage of the narrow electrochemical window of H2O seriously restricts the energy density and output voltage of ARBs,especially aqueous rechargeable Fe-based batteries.Herein,we introduce a new battery system:the anode contains C@Fe/Fe_(2)O_(3)composite,which is interfaced with an alkaline electrolyte;the cathode contains LiMn_(2)O_()in contact with a neutral electrolyte.A Li^(+)-conducting membrane is carefully selected to decouple the electrode-electrolyte,which effectively widens the electrochemical window to above 2.65 V,thereby enables an aqueous rechargeable iron battery.Its average output voltage is 1.83 V and its energy density is 235.3 Wh/kg at 549 W/kg.In this work,we propose the energy storage mechanism with the aid of density functional theory(DFT).The calculated reduction potential of the anode agrees with the experimental value.Furthermore,this battery system demonstrates long cycle lifespan of approximately 2500 cycles at 2 A/g,corresponding to a capacity retention of 82.1%.These results are very far superior than those of mainstream aqueous rechargeable Fe-based batteries,which guarantee future investigation for storing electricity energy.

关键词： aqueous battery high voltage high energy iron oxide theoretical calculation

Magnetic behaviors and magnetocaloric effects in rare earth high-entropy amorphous/nanocrystalline alloys

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Journal of Rare Earths 2024年第1期42卷 129-136,I0005页

作者： Lin Xue Liliang Shao Baosen Zhang Zongzhen Li Jiangbo Cheng Baolong Shen College of Mechanics and Materials Hohai UniversityNanjing211106China School of Materials science and Engineering Jiangsu Key Laboratory of Advanced Metallic MaterialsSoutheast UniversityNanjing211189China School of Materials science and Engineering Nanjing Institute of TechnologyNanjing211167China jiangsu JITRI Advanced Energy Materials research Institute Co. Ltd.Changzhou213000China

Rare earth high-entropy alloys(RE-HEAs)exhibit great potential to be applied as refrigerants due to their good comprehensive magnetocaloric properties.In this work,octary GdTbDyHoErTmCoAl and GdTbDyHoErTmCoNi RE-HEAs with amorphous/nanocrystalline structure exhibiting comparable magnetocaloric effect were synthesized.Both RE-HEAs show a second-order magnetic phase transition in the temperature range of hydrogen liquefaction.Due to the complex magnetic interactions,a spin glasslike behavior at low temperatures is observed in the RE-HEAs.A superior magnetocaloric effect is obtained in the nanocrystalline GdTbDyHoErTmCoNi high-entropy alloy that is multiphase attributed to a stronger magnetic exchange interaction when compared with the other that exhibits single amorphous structure.Despite heterogeneous microstructure,homogeneous chemical distributions are observed in the partially crystallized high-entropy alloy.In addition,the magnetocaloric effect and magnetic transition behavior of rare earth medium-and high-entropy alloys,including the RE-HEAs in this study,are summarized and discussed.The results in this work provide a helpful guide for the design of RE-HEAs for hydrogen liquefaction applications with excellent magnetocaloric effects.

关键词： Rare earths High-entropy alloy Metallic glass Magnetocaloric effect

Dynamics and genetic regulation of macronutrient concentrations during grain development in maize

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Journal of Integrative Agriculture 2024年第3期23卷 781-794页

作者： Pengcheng Li Shuangyi Yin Yunyun Wang Tianze Zhu Xinjie Zhu Minggang Ji Wenye Rui Houmiao Wang Chenwu Xu Zefeng Yang jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Agricultural CollegeYangzhou UniversityYangzhou 225009China jiangsu Co-lnnovation Center for Modern Production Technology of Grain Crops Yangzhou UniversityYangzhou 225009China

Nitrogen(N), phosphorus(P), and potassium(K) are essential macronutrients that are crucial not only for maize growth and development, but also for crop yield and quality. The genetic basis of macronutrient dynamics and accumulation during grain filling in maize remains largely unknown. In this study, we evaluated grain N, P, and K concentrations in 206 recombinant inbred lines generated from a cross of DH1M and T877 at six time points after pollination. We then calculated conditional phenotypic values at different time intervals to explore the dynamic characteristics of the N, P, and K concentrations. Abundant phenotypic variations were observed in the concentrations and net changes of these nutrients. Unconditional quantitative trait locus(QTL) mapping revealed 41 non-redundant QTLs, including 17, 16, and 14 for the N, P, and K concentrations, respectively. Conditional QTL mapping uncovered 39 non-redundant QTLs related to net changes in the N, P, and K concentrations. By combining QTL, gene expression, co-expression analysis, and comparative genomic data, we identified 44, 36, and 44 candidate genes for the N, P, and K concentrations, respectively, including GRMZM2G371058 encoding a Doftype zinc finger DNA-binding family protein, which was associated with the N concentration, and GRMZM2G113967encoding a CBL-interacting protein kinase, which was related to the K concentration. The results deepen our understanding of the genetic factors controlling N, P, and K accumulation during maize grain development and provide valuable genes for the genetic improvement of nutrient concentrations in maize.

关键词： maize nutrient concentration unconditional QTL mapping conditional QTL mapping dynamic trait

Sesamol: a novel quorum sensing inhibitor and colistin accelerator against Pseudomonas aeruginosa

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Food science and Human Wellness 2024年

作者： Peng-Cheng Ji Kun-Yuan Yin Yue Jiang Yu-Lu Sun Wen-Qi Luo Jin-Wei Zhou School of Food and Biological Engineering Xuzhou University of Technology

We assessed the quorum sensing (QS) inhibitory impact of sesamol against the foodborne bacterium Pseudomonas aeruginosa. At concentrations ranging from 50 to 200 μg/mL， sesamol significantly inhibited the production of virulence factors such as protease， elastase， pyocyanin， rhamnolipid， and chemotaxis， and improved the susceptibility of bacterial and biofilm cells to colistin. Integrated transcriptomics， metabolomics， and docking analyses indicated that exposure to sesamol destroyed the QS system and down regulated the expressions of genes encoding virulence and antioxidant enzymes. The downregulation of genes encoding antioxidant enzymes intensified oxidative stress， as demonstrated by the enhancement of reactive oxygen species (ROS) and H2O2. The enhanced oxidative stress changed the components of the cell membrane， improved its permeability， and ultimately enhanced the susceptibility of bacterial and biofilm cells to colistin. Moreover， exposure to sesamol also led to the disorder of amino acid metabolism and energy metabolism， eventually attenuating the pathogenicity of P. aeruginosa. These findings indicated that sesamol can function as a potent anti-virulence agent to defend against food spoilage caused by P. aeruginosa.

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