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Hepatobiliary Surgery and Nutrition 2019年第6期8卷 685-687页

作者： ann bao Shirley Shi Elsa Tsai Editorial Office AME Publishing Company

Summer has come and passed,and the wind is ready to start *** autumn leaves flutter down,the 8th annual Joint Conference of University of the Chicago and Peking Union Medical College(PUMC)Liver Surgery:Advances in Treating Solid Tumors and Academic Skills was successfully held from September 6th to 7th at the University of Chicago Center in *** conference was jointly sponsored by the National Association of Health Industry and Enterprise Management(NAHIEM),Peking Union Medical College Hospital,Liver Surgery,Hepatobiliary Surgery and Nutrition(HBSN),AME Publishing Company,University of Chicago Global Surgery,University of Chicago Department of Surgery,and University of Chicago Center in *** year’s conference focused on the multidisciplinary approach necessary to treat patients with solid abdominal *** was a strong emphasis on the new techniques and approaches for managing these tumors,but also it highlighted leaders in gastroenterology and medical oncology *** following are the six sessions of this year’s conference:surgical approaches for hepatobiliary cancers,systemic therapy for HCC&NAFLD,pancreatectomy&transplantation immunology,cultivate hepatocytes in vitro,advance in treatment of solid cancers,and finally,academic and publishing skills.

关键词： Surgery Chicago Academic Solid

Cosmology-Independent Photon Mass Limits from Localized Fast Radio Bursts by Using Artificial Neural Networks

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Chinese Physics Letters 2024年第5期41卷 177-183页

作者：冉景遇王宝魏俊杰 Purple Mountain Observatory Chinese Academy of SciencesNanjing 210023China School of Astronomy and Space Sciences University of Science and Technology of ChinaHefei 230026China

A hypothetical photon mass m_(γ) can produce a frequency-dependent vacuum dispersion of light, which leads to an additional time delay between photons with different frequencies when they propagate through a fixed distance. The dispersion measure and redshift measurements of fast radio bursts(FRBs) have been widely used to constrain the rest mass of the photon. However, all current studies analyzed the effect of the frequency-dependent dispersion for massive photons in the standard ΛCDM cosmological context. In order to alleviate the circularity problem induced by the presumption of a specific cosmological model based on the fundamental postulate of the masslessness of photons, here we employ a new model-independent smoothing technique, artificial neural network(ann), to reconstruct the Hubble parameter H(z) function from 34 cosmic-chronometer *** combining observations of 32 well-localized FRBs and the H(z) function reconstructed by ann, we obtain an upper limit of m_(γ) ≤ 3.5 × 10^(-51)kg, or equivalently m_(γ) ≤ 2.0 × 10^(-15)eV/c^(2)(m_(γ) ≤ 6.5 × 10^(-51)kg, or equivalently m_(γ) ≤ 3.6 × 10^(-15)eV/c_(2)) at the 1σ(2σ) confidence level. This is the first cosmology-independent photon mass limit derived from extragalactic sources.

关键词： dispersion limit Independent

Analysis of plant resources and diversity in Shennongjia Area of Hubei Province,China

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Asian Journal of Traditional Medicines 2024年第2期19卷 66-87页

作者： Terigen bao Min Li Jingming Jia Anhua Wang School of Traditional Chinese Materia Medica 103 Wenhua RoadShenyang 110016China University of Michigan Ann Arbor.930 N University AveAnn ArborMI 48109USA

Shennongjia Area is located in northwest of Hubei Province with Shennongding,the highest peak(3105.4 m above sea level)in central *** unique geographical location and complex terrain of this region make it rich in plant *** field investigation,th literature review,and specimen identification,the 7 Shenyang Pharmaceutical University Chinese Medicine Resources Scientific Expedition Team studied the plant resources and diversity of Shennongjia Area.454 species of vascular plants belonging to 106 families and 275 genera were collected from July to August in *** dominant families are Lamiaceae,Ranunculaceae,Rosaceae,and Asteraceae,with 20,21,37 and 48 species *** the genus level,Rubus is the dominant one with 11 species.3 species of national first-class protective plants,13 species of“Huan yang yao”and 36 species of“Qi yao”were *** all,our research has updated the plant recources and diversity in Shennongjia ***,by putting forward practical and meaningful suggestions on strengthening the protection and utilization of plant resources in Shennongjia Area,our research will help to protect the diverse ecosystem there.

关键词： plant resources diversity medicinal use Shennongjia Area

INVERSE MEDIUM SCATTERING PROBLEMS IN NEAR-FIELD OPTICS

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Journal of Computational Mathematics 2007年第3期25卷 252-265页

作者： Gang bao Peijun Li Department of Mathematics Michigan State UniversityEast LansingMI 48824USA Department of Mathematics University of MichiganAnn ArborMI 48109USA

A regularized recursive linearization method is developed for a two-dimensional in-verse medium scattering problem that arises in near-field optics, which reconstructs the scatterer of an inhomogeneous medium deposited on a homogeneous substrate from data accessible through photon scanning tunneling microscopy experiments. In addition to the ill-posedness of the inverse scattering problems, two difficulties arise from the layered back-ground medium and limited aperture data. Based on multiple frequency scattering data, the method starts from the Born approximation corresponding to the weak scattering at a low frequency, each update is obtained via recursive linearization with respect to the wavenumber by solving one forward problem and one adjoint problem of the Helmholtz equation. Numerical experiments are included to illustrate the feasibility of the proposed method.

关键词： Inverse medium scattering Helmholtz equation Near-field optics Recursivelinearization.

Molecular Cytogenetic Characterization of Wheat-Thinopyrum elongatum Addition,Substitution and Translocation Lines with a Novel Source of Resistance to Wheat Fusarium Head Blight

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Journal of Genetics and Genomics 2012年第2期39卷 103-110页

作者： Shulan Fu Zhenling Lv bao Qi Xiang Guo Jun Li bao Liu Fangpu Han State Key Laboratory of Plant Cell and Chromosome Engineering Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China Key Laboratory of Molecular Epigenetics of MOE and Institute of Genetics&Cytology Northeast Normal UniversityChangchun 130024China

Thinopyrum elongatum （2n = 2x = 14, EE）, a wild relative of wheat, has been suggested as a potentially novel source of resistance to several major wheat diseases including Fusarium Head Blight （FHB）. In this study, a series of wheat （cv. Chinese Spring, CS） substitution and ditelosomic lines, including Th. elongatum additions, were assessed for Type II resistance to FHB. Results indicated that the lines containing chromosome 7E of Th. elongatum gave a high level of resistance to FHB, wherein the infection did not spread beyond the inoculated floret. Furthermore, it was determined that the novel resistance gene（s） of 7E was located on the short-ann （7ES） based on sharp difference in FHB resistance between the two 7E ditelosomic lines for each arm. On the other hand, Th. elongatum chromosomes 5E and 6E likely contain gene（s） for susceptibility to FHB because the disease spreads rapidly within the inoculated spikes of these lines. Genomic in situ hybridization （GISH） analysis revealed that the alien chromosomes in the addition and substitution lines were intact, and the lines did not contain discernible genomic aberrations. GISH and multicolor-GISH analyses were further performed on three trans- location lines that also showed high levels of resistance to FHB. Lines TA3499 and TA3695 were shown to contain one pair of wheat-Th. elongatum translocated chromosomes involving fragments of 7D plus a segment of the 7E, while line TA3493 was found to contain one pair of wheat-Th, elongatum translocated chromosomes involving the D- and A-genome chromosomes of wheat. Thus, this study has established that the short-arm of chromosome 7E of Th. elongatum harbors gene（s） highly resistant to the spreading of FHB, and chromatin of 7E introgressed into wheat chromosomes largely retained the resistance, implicating the feasibility of using these lines as novel material for breeding FHB-resistant wheat cultivars.

关键词： Thinopyrum elongatum Alien addition lines Substitution lines Fusarium Head Blight resistance (FHB) Genomic in situ hybridization (GISH)

Material properties and characterizations of cross-linked electro-spinning raspberry ketone incorporated polyvinyl alcohol/gelatin fibrous scaffolds

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Journal of Biomedical Science and Engineering 2011年第1期4卷 1-9页

作者： Trinh Quang bao Rose ann Franco Byong Taek Lee 不详

The properties of polyvinyl alcohol/gelatin (PVA/GE) nanofibers have been previously investigated as a function of the processing parameters such as the ra-tios of PVA and GE, electrical field and tip-to-collector distance during the electro-spinning process, in this study, the properties of the electro-spinning PVA/GE nanofibers were examined when different solution feed rates were used to create the fibrous scaffold. The optimal conditions for the PVA/GE fibrous scaf-fold were determined to be a PVA/GE blend ratio of 8/2, electrical field of 24 kV, tip-to-collector distance of 10 cm and speed rate of 1 ml.h-1. Using these con-ditions, Raspberry ketone (RK) was incorporated into PVA/GE fibrous scaffolds and their microstruc-ture and material properties were characterized by SEM, DSC and XRD techniques. When the incorpo-rated RK and PVA/GE fibrous scaffolds were cross-linked, the tensile strength and water-resistant ability increased at increasing cross-linking time. However, in the in vitro analysis, a longer cross-linking time was shown to increase its cytotoxicity. The cytotoxic-ity of RKPVA/GE-8 fibrous scaffold was evaluated based on a cell proliferation study by culturing L-929 fibroblast cell on the fibrous scaffold for 1, 3 and 5 days. In these experiments, cell expansion was ob-served and the cells spread during the entire cell cul-ture time.

关键词： Electro-Spinning PVA/GE Fibrous Scaffold Raspberry Ketone Nanofibers

Bridging open source tools and Geoportals for interactive spatial data analytics

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Geo-Spatial Information Science 2019年第3期22卷 185-192页

作者： Bing She Tao Hu Xinyan Zhu Shuming bao University of Michigan Ann ArborMIUSA Center for Geographical Analysis Harvard UniversityCambridgeMAUSA Geocomputation Center for Social Sciences Wuhan UniversityWuhanChina State Key Lab of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Collaborative Innovation Center of Geospatial Technology WuhanChina China Data Institute Ann ArborMIUSA

Geoportals have been the primary source of spatial information to researchers in diverse *** years have seen a growing trend to integrate spatial analysis and geovisual analytics inside *** could use the Geoportal to conduct basic analysis without offline *** practice,domain-specific analysis often requires researchers to integrate heterogeneous data sources,leverage new statistical models,or build their own customized *** tasks are increasingly being tackled with open source tools in programming languages such as Python or ***,it is unrealistic to incorporate the numerous open source tools in a Geoportal platform for data processing and *** work provides an exploratory effort to bridge Geoportals and open source tools through Python *** Geoportal demonstrated in this work is the Urban and Regional Explorer for China studies.A python package is provided to manipulate this platform in the local programming *** server side of the Geoportal implements a set of service endpoints that allows the package to upload,transform,and process user data and seamlessly integrate them into the existing datasets.A case study is provided that illustrated the use of this package to conduct integrated analyses of search engine data and baseline census *** work attempts a new direction in Geoportal development,which could further promote the transformation of Geoportals into online analytical workbenches.

关键词： Geoportal open source Python web GIS spatial analysis

Remaining useful life prediction of lithium-ion batteries using a fusion method based on Wasserstein GAN

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The Journal of China Universities of Posts and Telecommunications 2020年第1期27卷 1-9页

作者： Zhou Wending bao Shijian Xu Fangmin Zhao Chenglin School of Telecommunication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China China International Engineering Consulting Corporation Beijing 100048China

Lithium-ion batteries are the main power supply equipment in many fields due to their advantages of no memory, high energy density, long cycle life and no pollution to the environment. Accurate prediction for the remaining useful life(RUL) of lithium-ion batteries can avoid serious economic and safety problems such as spontaneous combustion. At present, most of the RUL prediction studies ignore the lithium-ion battery capacity recovery phenomenon caused by the rest time between the charge and discharge cycles. In this paper, a fusion method based on Wasserstein generative adversarial network(GAN) is proposed. This method achieves a more reliable and accurate RUL prediction of lithium-ion batteries by combining the artificial neural network(ann) model which takes the rest time between battery charging cycles into account and the empirical degradation models which provide the correct degradation trend. The weight of each model is calculated by the discriminator in the Wasserstein GAN model. Four data sets of lithium-ion battery provided by the National Aeronautics and Space Administration(NASA) Ames Research Center are used to prove the feasibility and accuracy of the proposed method.

关键词： remaining useful life lithium-ion battery battery capacity recovery fusion method Wasserstein generative adversarial network(GAN)

Measuring cotton water status using water-related vegetation indices at leaf and canopy levels

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Journal of Arid Land 2012年第3期4卷 310-319页

作者： QiuXiang YI AnMing bao Yi LUO Jin ZHAO Xinjiang Institute of Ecology and Geography Chinese Academy of SciencesUrumqi 830011China

Drought is one of the major environmental threats in the world. In recent years, the damage from droughts to the environment and economies of some countries has been extensive, and drought monitoring has caused widespread concerns. Remote sensing has a proven ability to provide spatial and temporal measurements of surface properties, and it offers an opportunity for the quantitative assessment of drought indicators such as the vegetation water content at different levels. In this study, sites of cotton field in Shihezi, Xinjiang, Northwest China were sampled. Four classical water content parameters, namely the leaf equivalent water thickness （EWT^e,f）, the fuel moisture content （FMC）, the canopy equivalent water thickness （EVVmcanopy） and vegetation water content （VWC） were evaluated against seven widely-used water-related vegetation indices, namely the NDII （normalized difference infrared index）, NDWI2130 （normalized difference water index）, NDVI （normalized difference vegetation index）, MSI （moisture stress index）, SRWI （simple ratio water index）, NOWI1240 （normalized difference water index） and WI （water index）, respectively. The results proved that the relationships between the water-related vegetation indices and EWTleaf were much better than that with FMC, and the relationships between vegetation indices and EWTcanopy were better than that with VWC. Furthermore, comparing the significance of all seven water-related vegetation in- dices, WI and NDII proved to be the best candidates for EWT detecting at leaf and canopy levels, with R2 of 0.262 and 0.306 for EWTlear-WI and EWTcanopy-NDII linear models, respectively. Besides, the prediction power of linear regression technique （LR） and artificial neural network （ann） were compared using calibration and validation dataset, respectively. The results indicated that the performance of ann as a predictive tool for water status meas- uring was as good as LR. The study should further our understanding of the relationship

关键词： artificial neural network cotton linear regression vegetation indices water parameters

Sea-water-level prediction via combined wavelet decomposition,neuro-fuzzy and neural networks using SLA and wind information

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Acta Oceanologica Sinica 2020年第5期39卷 157-167页

作者： bao Wang Bin Wang Wenzhou Wu Changbai Xi Jiechen Wang School of Geography and Ocean Science Nanjing UniversityNanjing 210023China National Marine Environmental Forecasting Center Beijing 100081China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Nanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing UniversityNanjing 210023China

Sea-water-level(SWL)prediction significantly impacts human lives and maritime activities in coastal regions,particularly at offshore locations with shallow water ***-term SWL forecasts,which are conventionally obtained via harmonic analysis,become ineffective when nonperiodic meteorological events *** intelligence combined with other data-processing methods can effectively forecast highly nonlinear and nonstationary inflow patterns by recognizing historical relationships between input and *** techniques are considerably useful in time-series data *** paper reports the development of a hybrid model to realize accurate multihour SWL forecasting by combining an adaptive neuro-fuzzy inference system(ANFIS)with wavelet decomposition while using sea-level anomaly(SLA)and wind-shear-velocity components as *** wavelet-ANFIS(WANFIS)models have been tested using different inputs to assess their applicability as alternatives to the artificial neural network(ann),wavelet ann(Wann),and ANFIS *** error definitions have been used to evaluate results,which indicate that integrated wavelet-decomposition and ANFIS models improve the accuracy of SWL prediction and that the inputs of SLA and wind-shear velocity exhibit superior prediction capability compared to conventional SWL-only models.

关键词： sea-water level prediction ANFIS wavelet decomposition wind