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Rare Metals 2017年第11期36卷 858-864页

作者： Jin-Long Li Gang-Yi Cai Hua-Sheng Zhong Yong-Xin Wang jian-min chen Key Laboratory of Marine Materials and Application Technologies Zhejiang Key Laboratory of Marine Materials and Protection Technologies Ningbo Institute of Materials Technologies and Engineering Chinese Academy of Sciences School of Mechanical and Electrical Engineering Henan University of Technology

TiCN coatings incorporated with Ti buffer layer were deposited on Ti6A14V alloy by arc ion plating. The carbon content in TiCN coatings was varied by controlling flow rates of C2H2 in reactive gas. The Ti/TiCN coatings have a typical structure of columnar crystal with a total thickness of about 2 pro. The elements of Ti, C and N are present as TiN and TiC in TiCN coatings. A little free carbon appears with carbon content increasing in TiCN coatings. For the TiCN coatings, the hardness, friction coefficient and wear rate decrease with the increase in carbon content. In seawater, both friction coefficient and wear rate have an obvious decrease at lower carbon content compared with those in atmosphere. However, the friction coefficient and wear rate only have a slight decrease, while the carbon content reaches or exceeds 10 at% in Ti/TiCN coatings.

关键词： Ti/TiCN coatings Arc ion plating Hardness Seawater Wear

Growth and properties of hydrogenated microcrystalline silicon thin films prepared by magnetron sputtering with different substrate temperatures

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Rare Metals 2022年第3期41卷 1037-1042页

作者： Lin-Qing Wang Wei-Yan Wang Jin-Hua Huang Rui-Qin Tan Wei-Jie Song jian-min chen State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China Ningbo Institute of Material Technology and Engineering Chinese Academy of SciencesNingbo 315201China Faculty of Information Science and Engineering Ningbo UniversityNingbo 315211China

Hydrogenated microcrystalline silicon (μcSi:H) thin films were deposited by an radio frequency (RF)(13.56 MHz) magnetron sputtering at different substrate temperatures (100–300℃), and the influences of substrate temperature on the growth and properties ofμc-Si:H thin films were investigated. Surface roughness and crystallinity of the thin films increase as substrate temperature increases. And all thin films are at the transition region(X_(c)=49.2%~61.0%). Theμc-Si:H thin films deposited at lower substrate temperature (≤200℃) represent a weak(220) preferred orientation, while the thin films deposited at higher substrate temperature (≥250℃) exhibit a weak(111) preferred orientation. The μc-Si:H thin films have a dense structure, and the structural compactness of the thin films slightly increases with substrate temperature increasing. The Fourier transform infrared spectroscopy (FTIR) results indicate that theμc-Si:H thin films have a low hydrogen content (3.9 at%–5.6 at%), which is in favor of reducing light-induced degradation effect.

关键词： μc-Si:H thin films Magnetron sputtering Substrate temperature Hydrogen content

Rice OsGL 1-1 Is Involved in Leaf Cuticular Wax and Cuticle Membrane

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Molecular Plant 2011年第6期4卷 985-995页

作者： Bao-Xiang Qin Ding Tang jian Huang ming Li Xin-Ru Wu Li-Li LU Ke-jian Wang Heng-Xiu Yu jian-min chen ming-Hong Gu Zhu-Kuan cheng State Key Laboratory of Plant Genomics and Center for Plant Gene Research Institute of Genetics and Developmental Biology Chinese Academy of Sciences Beijing 100101 China Key Laboratory of Plant Functional Genomics of ministry of Education Yangzhou University Yangzhou Jiangsu 225009 China

Cuticular wax forms a hydrophobic barrier on aerial plant organs; it plays an important role in protecting a plant from damage caused by many forms of environmental stress. In the present study, we characterized a rice leaf wax-deficient mutant osgll-1 derived from a spontaneous mutation, which exhibited a wax-deficient and highly hydro- philic leaf phenotype. We cloned the OsGLI-1 gene by the map-based cloning method and performed a complementation test to confirm the function of the candidate gene. Molecular studies revealed that OsGLI-1 was a member of the OsGL1 family, and contained regions that were homologous to some regions in sterol desaturases and short-chain dehydro- genases/reductases. Compared to the wild-type, the osgll-1 mutant showed decreased cuticular wax deposition, thinner cuticular membrane, decreased chlorophyll leaching, increased rate of water loss, and enhanced sensitivity to drought. OsGL 1-1 is expressed ubiquitously in rice. The transient expression of OsGLl-l-green fluorescent protein fusion protein indicated that OsGLI-1 is localized in the cytoplasm, plasma membrane, and nucleus.

关键词： Cuticular wax cuticular membrane OsGL1-1 rice.

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

Large post-liquefaction deformation of sand:Mechanisms and modeling considering water absorption in shearing and seismic wave conditions

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Underground Space 2024年第5期18卷 3-64页

作者： jian-min Zhang Rui Wang Department of Hydraulic Engineering State Key Laboratory of Hydroscience and EngineeringTsinghua UniversityBeijing 100084China

Large deformation of sand due to soil liquefaction is a major cause for seismic *** this study,the mechanisms and modeling of large post-liquefaction deformation of sand considering the significant influence of water absorption in shearing and seismic wave *** of case histories from past earthquakes and review of existing studies highlight the importance of the two *** on the micro and macro scale mechanisms for post-liquefaction shear deformation,the mechanism for water absorption in shearing after initial liquefaction is *** is aided by novel designed constant water-absorption-rate shear *** absorption in shearing can be classified into three types,including partial water absorption,complete water absorption,and compulsory water *** the influence of water absorption in shearing,even a strongly dilative sand under naturally drained conditions could experience instability and large shear *** mechanism for amplification of post-liquefaction deformation under surface wave load is also explained via element tests and theoretical *** shows that surface wave–shear wave coupling can induce asymmetrical force and resistance in sand,resulting in asymmetrical accumulation of deformation,which is amplified by liquefaction.A constitutive model,referred to as CycLiq,is formulated to capture the large deformation of sand considering water absorption in shearing and seismic wave conditions,along with its numerical implementation *** model is comprehensively calibrated based on various types of element tests and validated against centrifuge shaking table tests in the liquefaction experiments and analysis projects(LEAP).The model,along with various numerical analysis methods,is adopted in the successful simulation of water absorption in shearing and Rayleigh wave-shear wave coupling induced large liquefaction ***,the model is applied to high-performance simulation fo

关键词： Liquefaction Sand Large deformation Water absorption in shearing Surface wave Rayleigh wave-shear wave coupling

Modulating Co-Co bonds average length in Co_(0.85)Se_(1-x)S_(x) to enhance conversion reaction for potassium storage

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Journal of Energy Chemistry 2024年第4期91卷 111-121页

作者： Daming chen Yuchun Liu Pan Feng Xiao Tao Zhiquan Huang Xiyu Zhang min Zhou jian chen jiangsu Key Laboratory of Advanced Metallic Materials School of Materials Science and EngineeringSoutheast UniversityNanjing 211189JiangsuChina Hefei National Laboratory for Physical Sciences at the Microscale School of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026AnhuiChina

While alloying transition metal chalcogenides(TMCs)with other chalcogen elements can effectively improve their conductivity and electrochemical properties,the optimal alloying content is still *** this study,we study the influence of dopant concentration on the chemical bonds in TMC and reveal the associated stepwise conversion reaction mechanism for potassium ion *** to density function theory calculations,appropriate S-doping in Co0.85Se(Co_(0.85)Se_(1-x)S_(x))can reduce the average length of Co-Co bonds because of the electronegativity variation,which is thermodynamically favourable to the phase transition *** optimal Se/S ratio(x=0.12)for the conductivity has been obtained from experimental *** assembled as an anode in potassium-ion batteries(PIBs),the sample with optimized Se/S ratio exhibits extraordinary electrochemical *** rate performance(229.2 mA h g^(-1)at 10 A g^(-1))is superior to the state-of-the-art *** assembled with Prussian blue(PB)as a cathode,the pouch cell exhibits excellent performance,demonstrating its great potential for ***,the stepwise K+storage mechanism caused by the coexistence of S and Se is revealed by in-situ X-ray diffraction and ex-situ transmission electron microscopy ***,this work not only provides an effective strategy to enhance the electrochemical performance of transition metal chalcogenides but also reveals the underlying mechanism for the construction of advanced electrode materials.

关键词： Co_(0.85)Se_(1-x)S_(x) Co-Co bonds Phase transition reactions Optimal Se/s Potassium ion batteries

Controllable fabrication of self-organized nano-multilayers in copper–carbon films

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Chinese Physics B 2019年第3期28卷 309-316页

作者： Wei-Qi Wang Li Ji Hong-Xuan Li Xiao-Hong Liu Hui-Di Zhou jian-min chen State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of Sciences University of Chinese Academy of Sciences

In order to clarify the influence of methane concentration and deposition time on self-organized nano-multilayers,three serial copper-carbon films have been prepared at various methane concentrations with different deposition times using a facile magnetron sputtering deposition system. The ratios of methane concentration(CH4/Ar+CH4) used in the experiments are 20%, 40%, and 60%, and the deposition times are 5 minutes, 20 minutes, and 40 minutes, *** the difference in the growth conditions, self-organizing multilayered copper-carbon films are prepared at different deposition times by changing methane concentration. The film composition and microstructure are investigated by x-ray photoelectron spectroscopy(XPS), x-ray diffraction(XRD), field emission scanning electron microscopy(FESEM), and high-resolution transmission electron microscopy(HRTEM). By comparing the composition and microstructure of three serial films, the optimal growth conditions and compositions for self-organizing nano-multilayers in copper-carbon film are acquired. The results demonstrate that the self-organized nano-multilayered structure prefers to form in two conditions during the deposition process. One is that the methane should be curbed at low concentration for long deposition time,and the other condition is that the methane should be controlled at high concentration for short deposition time. In particular, nano-multilayered structure is self-organized in the copper-carbon film with copper concentration of 10-25 at.%.Furthermore, an interesting microstructure transition phenomenon is observed in copper-carbon films, that is, the nanomultilayered structure is gradually replaced by a nano-composite structure with deposition time and finally covered by amorphous carbon.

关键词： nano-multilayers self-organized controllable fabrication copper–carbon films

Predicting fatigue life of automotive adhesive bonded joints:a data-driven approach using combined experimental and numerical datasets

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Advances in Manufacturing 2024年第3期12卷 522-537页

作者： chen-Di Wei Qiu-Ren chen min chen Li Huang Zhong-Jie Yue Si-Geng Li jian Wang Li chen Chao Tong Qing Liu School of Advanced Technology Xi’an Jiaotong-Liverpool UniversitySuzhou215123People’s Republic of China Key Laboratory for Light-weight Materials Nanjing Tech UniversityNanjing210009People’s Republic of China Material Academy JITRISuzhou215100People’s Republic of China Nanjing University of Science and Technology Nanjing210094People’s Republic of China

The majority of vehicle structural failures originate from joint *** loading is one of the primary factors in joint failures,making the fatigue performance of joints a critical consideration in vehicle structure *** use of traditional fatigue analysis methods is constrained by the absence of adhesive life data and the wide variety of joint ***,there is a pressing need for an accurate fatigue life estimation method for the joints in the automotive *** this work,we proposed a data-driven approach embedding physical knowledge-guided parameters based on experimental data and finite element analysis(FEA)*** machine learning(ML)algorithms are adopted to investigate the fatigue life of three typical adhesive joints,namely lap shear,coach peel and KSII *** the feature engineering and tuned process of the ML models,the preferable model using the Gaussian process regression algorithm is established,fed with eight input parameters,namely thicknesses of the substrates,line forces and bending moments of the adhesive bonded joints obtained from *** proposed method is validated with the test data set and part-level physical tests with complex loading states for an unbiased *** demonstrates that for life prediction of adhesive joints,the data-driven solutions can constitute an improvement over conventional solutions.

关键词： Fatigue life Adhesive bonded joints Finite element analysis(FEA) Machine learning(ML)

Individualized Traditional Chinese Medicine treatment vs antibiotics for recurrent urinary tract infections: a multicenter, randomized controlled study

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Journal of Traditional Chinese Medicine 2024年第3期44卷 524-529页

作者： GU Xiangchen QIU Meisi XIE Lin chen min DENG Yueyi ZHANG Changming jian Guihua WANG chen WANG Yi Department of Nephrology Yueyang Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 200437China Department of Nephrology Rizhao Hospital of Traditional Chinese MedicineShanghai 200437China Department of Nephrology Longhua Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai200032China Department of Nephrology Shanghai Municipal Traditional Chinese Medicine Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 200071China Department of Nephrology the Sixth People's Hospital Affiliated Shanghai Jiaotong UniversityShanghai 200233China Department of Nephrology Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China

OBJECTIVE: To systematically assess the effects of individualized Chinese medicines on recurrent urinary tract infections(rUTIs).METHODS: This study recruited 230 adult female patients in the remission phase of rUTIs from five hospitals in China. The patients were randomly allocated to two groups: an individualized Chinese medicine group(n = 114) and a control group(n = 116). Patients in the Chinese medicine group received individualized Chinese herbs, which were evaluated for syndrome *** in the control group received antibiotic treatment combined with a Chinese medicine placebo. The duration of treatment was three courses of four weeks each, with a three-month subsequent follow-up. UTI recurrence rate,Traditional Chinese Medicine(TCM) syndrome scores,36-item Short Form Survey(SF-36) score, and urine secretory immunoglobulin A(SIgA) were measured and analyzed before and after treatment in each group. RESULTS: Patients from the Chinese medicine group exhibited significant decreases in both short-and longterm UTI recurrence rates compared with the control group(P < 0.05). The changes in TCM syndrome scores between the Chinese medicine and control groups were significant(P < 0.05). The changes in the average SF-36 quality-of-life scores in the Chinese medicine group were also significantly higher than those in the control group after treatment(P < 0.05). The Chinese medicine group also demonstrated a significant increase in urine SIg A expression. CONCLUSION: Taken together, compared to the oftenused long-term antimicrobial prophylaxis during the remission stage of r UTIs, treating patients with an individualized Chinese medicine decoction by syndrome differentiation could effectively reduce the recurrence rate, improve the patients' TCM syndrome scores and quality of life, and enhance immunity, which in turn helps to prevent antibiotic resistance.

关键词： urinary tract infections medicine Chinese traditional syndrome differentiation quality of life immunoglobulin A secretory randomized controlled trial

Anesthesia,Anesthetics,and Postoperative Cognitive Dysfunction in Elderly Patients

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Current Medical Science 2024年第2期44卷 291-297页

作者： Hong-yu ZHU jian-li YAN min ZHANG Tian-yun XU chen chen Zhi-lin WU Department of Anesthesiology Linhe District People's HospitalBayannur 015000China Department of Neurosurgery Xinzhou District People's HospitalWuhan 430408China Department of Anesthesiology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China

Postoperative cognitive dysfunction(POCD)remains a major issue that worsens the prognosis of elderly surgery *** article reviews the current research on the effect of different anesthesia methods and commonly utilized anesthetics on the incidence of POCD in elderly patients,aiming to provide an understanding of the underlying mechanisms contributing to this condition and facilitate the development of more reasonable anesthesia protocols,ultimately reducing the incidence of POCD in elderly surgery patients.

关键词： anesthesia anesthetics postoperative cognitive dysfunction elderly patients