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Microwave-assisted Palladium-micelle-catalyzed Suzuki Cross-coupling Reaction in Water

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Chemical Research in Chinese Universities 2011年第4期27卷 589-591页

作者： liN li li sheng-hai JIANG Ri-hua Key Laboratory of Ecomaterials Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun 130022 P. R. China College of Chemistry Jilin University Changehun 130012 P. R. China Department of Dermatology China-Japan Union Hospital of Jilin University Changehun 130033 P. R. China

A microwave-accelerated Suzuki coupling procedure was developed via guanidinium ionic liquids（GILs） stabilized *** Pd micelle/GILs play a key role in enhancing the activity,due to the highly dispersed Pd active sites and the phase transfer function of GILs,which ensures the adsorption of reactants and facilitates the translation of the intermediates to the surface of the micelle.

关键词： Microwave irradiating Pd micelle Suzuki reaction Guanidinium ionic liquid

Aryl-guanidine/Pd-catalyzed Suzuki Cross-coupling Reaction at Room Temperature

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Chemical Research in Chinese Universities 2012年第2期28卷 242-244页

作者： li Yan-chun liN Ying-jie ZHANG Suo-bo li sheng-hai DUAN hai-feng Departent of Organic Chemistry College of ChemistryJilin UniversityChangchun 130012P.R.China Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022P.R.China

Four aryl-guanidines（AG） were synthesized and used for the palladium-catalyzed Suzuki cross-coupling reaction to test the catalytic *** the presence of steric bulk AG,when aryl bromide and arylboronic acid were used as the reactants,the Suzuki reaction could be carried out smoothly at room temperature in aqueous solvent to afford the cross-coupling product in high *** catalysis system was also successful for the coupling of activated aryl chlorides at room temperature.

关键词： Aryl-guanidine Suzuki reaction Palladium ligand

Multiple sub-array beamspace CAATI algorithm for multi-beam bathymetry system

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Journal of Marine Science and Application 2007年第1期6卷 47-52页

作者： li Zi-sheng li hai-sen ZHOU Tian YUAN Yan-yi College of Underwater Acoustic Engineering Harbin Engineering University Harbin 150001 China

This paper extends CAATI （Computed Angle-of-Arrival Transient Imaging） technique of Multi-angle Swath Bathymetry Sidesean Sonar （MSBSS） into Multi-Beam Bathymetry Sonar （MBBS） and presents a new Multiple Sub-array Beamspaee - CAATI （MSB-CAATI） algorithm. The method not only can achieve high resolution seafloor mapping in the whole wide swath, but also can work well in complex acoustic environments or geometries. Simulation results and processing results of sea-experiment data prove the validity and superiority of the algorithm.

关键词： MSB-CAATI swath bathymetry high resolution multi-beam

Numerical Simulation of Temperature Field and Thermal Stress Field of Work Roll During Hot Strip Rolling

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Journal of Iron and Steel Research International 2007年第5期14卷 18-21页

作者： li Chang-sheng YU hai-liang DENG Guan-yu liU Xiang-hua WANG Guo-dong State Key Laboratory of Rolling and Automation Northeastern University Shenyang 110004 Liaoning China

Based on the thermal conduction equations, the three-dimensional （3D） temperature field of a work roll was investigated using finite element method （FEM）. The variations in the surface temperature of the work roll during hot strip rolling were described, and the thermal stress field of the work roll was also analyzed. The results showed that the highest roll surface temperature is 593 ℃, and the difference between the minimum and maximum values of thermal stress of the work roll surface is 145.7 MPa. Furthermore, the results of this analysis indicate that temperature and thermal stress are useful parameters for the investigation of roll thermal fatigue and also for improving the quality of strip during rolling.

关键词： hot strip mill roll temperature field thermal stress finite element method

Identification of superior clones by RAPD technology in Xanthoceras sorbifolia Bge.

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Forestry Studies in China 2010年第1期12卷 37-40页

作者： GUAN li-ping YANG Ting li Na li Bo-sheng LU hai College of Biological Sciences and Biotechnology Beijing Forestry University Beijing 100083 E R. China

It is very important to select and identify superior Xanthoceras sorbifolia Bge. trees for purposes of breeding and exploration. For our study, we selected superior X. sorbifolia trees using RAPD （random amplification of polymorphic DNA） technology. The results show that certain specific amplification bands emerged with significantly different frequencies between superior and non-superior trees. The 1400-bp band of No. 2121 primer emerged in the superior trees at a frequency 2.4 times that of the non-superior trees and the 600-bp band of No. 2153 primer in the non-superior trees at a frequency 2.5 times that of the superior trees There were very significant differences between the superior and non-superior trees. The frequency of the 1600-bp band of No. 1161 primer was the same in both kinds of trees, but significant differences were observed in point frequency （the frequency of the superior trees is 1,4 times that of the non-superior trees）. These bands can be used as important targets to distinguish between superior and non-superior trees. The use of a combination of amplified bands simultaneously can play a guiding role in the selection of superior X. sorbifolia trees.

关键词： Xanthoceras sorbifolia Bge. superior clones RAPD technology

A novel method for robot path planning

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重庆邮电大学学报（自然科学版） 2009年第2期21卷 173-177页

作者： CAI Qiang li hai-sheng YANG Qin li Ji-gang School of Computer ＆ Information Engineering Beijing Technology and Business University Beijing 100048 P. R. China School of Computer Science ＆ Engineering Beihang University Beijing 100191 P. R. China

Path planning is one of the most important problems in the design of a mobile robot.A novel approach called generalized Voronoi diagrams(GVD)may deal with this ***,a method was introduced to normalize the obstacles and present efficient techniques for generating *** a best path searching algorithm was *** implemented were given to indicate the availability of the mentioned *** approaches in this paper can also be used in applications including visualization,spatial data manipulation,etc.

关键词：机器人路径规划 Voronoi图空间数据处理搜索算法移动机器人群速度色散最佳路径正常化

Exploring Mechanism of Electroacupuncture in Modulating Neuroinflammation Based on Intestinal Flora and Its Metabolites

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Chinese Journal of Integrative Medicine 2025年第2期31卷 183-192页

作者： YE hai-min li Zhuo-yan ZHANG Peng KANG Zhen ZHOU De-sheng School of Integrated Chinese and Western Medicine Hunan University of Chinese MedicineChangsha(410208)China Neurology Department The Second Affiliated Hospital of Hunan University of Chinese MedicineChangsha(410005)China Acupuncture and Moxibustion Massage Rehabilitation Department The Second Affiliated Hospital of Hunan University of Chinese MedicineChangsha(410005)China Neurology Department The First Hospital of Hunan University of Chinese MedicineChangsha(410011)China

Neuroinflammatory responses play an important role in the pathogenesis of various diseases,particularly those affecting the central nervous *** of neuroinflammation is a crucial therapeutic strategy for the management of central nervous system *** intestinal microbial-gut-brain axis serves as a key regulatory pathway that modulates neuroinflammatory *** flora metabolites such as short-chain fatty acids,indoles and their derivatives,lipopolysaccharides,trimethylamine oxide,and secondary bile acids exert direct or indirect effects on *** have shown that electroacupuncture(EA)modulates the composition of the intestinal microbiota and its metabolites,while also suppressing neuroinflammation by targeting the TLR4/NF-κB,NLRP3/caspase-1,and microglial cell M2-type transformation *** review discusses the mechanisms by which EA regulates neuroinflammation via intestinal microbiota and its metabolites,providing information and a foundation for further investigation of the precise therapeutic mechanisms of EA in neurological disorders.

关键词： electroacupuncture intestinal flora metabolites of intestinal flora neuroinflammation nervous system disease review

A nuclide identification method ofγspectrum and model building based on the transformer

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Nuclear Science and Techniques 2025年第1期36卷 80-93页

作者： Fei li Chu-Yang Luo Ying-Zi Wen sheng Lv Feng Cheng Guo-Qiang Zeng Jian-Feng Jiang Bing-hai li College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610000China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu 610000China Department of Physics Universitat Politècnica de CatalunyaBarcelona 08028Spain Airborne Survey and Remote Sensing Center of Nuclear Industry Shijiazhuang 050000China Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology Shijiazhuang 050000China

In current neural network algorithms for nuclide identification in high-background,poor-resolution detectors,traditional network paradigms including back-propagation networks,convolutional neural networks,recurrent neural networks,etc.,have been limited in research on γ spectrum analysis because of their inherent mathematical *** is difficult to make progress in terms of training data requirements and prediction *** contrast to traditional network paradigms,network models based on the transformer structure have the characteristics of parallel computing,position encoding,and deep stacking,which have enabled good performance in natural language processing tasks in recent ***,in this paper,a transformer-based neural network (TBNN) model is proposed to achieve nuclide identification for the first ***,the Geant4 program was used to generate the basic single-nuclide energy spectrum through Monte Carlo simulations.A multi-nuclide energy spectrum database was established for neural network training using random matrices of γ-ray energy,activity,and *** on the encoder–decoder structure,a network topology based on the transformer was built,transforming the 1024-channel energy spectrum data into a 32×32 energy spectrum sequence as the model *** experiments and adjustments of model parameters,including the learning rate of the TBNN model,number of attention heads,and number of network stacking layers,the overall recognition rate reached 98.7%.Additionally,this database was used for training AI models such as back-propagation networks,convolutional neural networks,residual networks,and long shortterm memory neural networks,with overall recognition rates of 92.8%,95.3%,96.3%,and 96.6%,*** indicates that the TBNN model exhibited better nuclide identification among these AI models,providing an important reference and theoretical basis for the practical application of transformers in the qualitative and quantitativ

关键词： Nuclide identification Neural network Transformer

Development and validation of a nomogram model for predicting overall survival in patients with gastric carcinoma

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World Journal of Gastrointestinal Oncology 2025年第2期17卷 132-143页

作者： Guan-Zhong liang Xiao-sheng li Zu-hai Hu Qian-Jie Xu Fang Wu Xiang-lin Wu hai-Ke Lei Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer HospitalChongqing 400030China Chongqing Cancer Multi-omics Big Data Application Engineering Research Center Chongqing University Cancer HospitalChongqing 400030China Department of Health Statistics School of Public HealthChongqing Medical UniversityChongqing 400016China Research Center for Medicine and Social Development School of Public HealthChongqing Medical UniversityChongqing 400016China The Research Center of Big Data Chongqing University Cancer HospitalChongqing 400030China

BACKGROUND The prevalence and mortality rates of gastric carcinoma are disproportionately elevated in China,with the disease's intricate and varied characteristics further amplifying its health *** forecasting of overall survival(OS)is of paramount importance for the clinical management of individuals afflicted with this *** To develop and validate a nomogram model that provides precise gastric cancer prevention and treatment guidance and more accurate survival outcome prediction for patients with gastric *** Data analysis was conducted on samples collected from hospitalized gastric cancer patients between 2018 and *** absolute shrinkage and selection operator,univariate,and multivariate Cox regression analyses were employed to identify independent prognostic factors.A nomogram model was developed to predict gastric cancer patient *** model's predictability and discriminative ability were evaluated via receiver operating characteristic *** evaluate the clinical utility of the model,Kaplan-Meier and decision curve analyses were *** A total of ten independent prognostic factors were identified,including body mass index,tumor-node-metastasis(TNM)stage,radiation,chemotherapy,surgery,albumin,globulin,neutrophil count,lactate dehydrogenase,and platelet-to-lymphocyte *** area under the curve(AUC)values for the 1-,3-,and 5-year survival prediction in the training set were 0.843,0.850,and 0.821,*** AUC values were 0.864,0.820,and 0.786 for the 1-,3-,and 5-year survival prediction in the validation set,*** model exhibited strong discriminative ability,with both the time AUC and time C-index exceeding *** with TNM staging,the model demonstrated superior clinical ***,a nomogram was developed via a web-based *** This study established and validated a novel nomogram model for predicting the OS of gastric cancer patients,which demonstrat

关键词： Gastric carcinoma Prediction Overall survival Nomogram Prospective