|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization显示文摘The present study aims to develop two hybrid models to optimize the factors and enhance the predictive ability of the landslide susceptibility models.For this,a landslide inventory map was created with 406 historical landslides and 2030 non-landslide points,which was randomly divided into two datasets for model training(70%)and model testing(30%).22 factors were initially selected to establish a landslide factor database.We applied the GeoDetector and recursive feature elimination method(RFE)to address factor optimization to reduce information redundancy and collinearity in the data.Thereafter,the frequency ratio method,multicollinearity test,and interactive detector were used to analyze and evaluate the optimized factors.Subsequently,the random forest(RF)model was used to create a landslide susceptibility map with original and optimized factors.The resultant hybrid models GeoDetector-RF and RFE-RF were evaluated and compared by the area under the receiver operating characteristic curve(AUC)and accuracy.The accuracy of the two hybrid models(0.868 for GeoDetector-RF and 0.869 for RFE-RF)were higher than that of the RF model(0.860),indicating that the hybrid models with factor optimization have high reliability and predictability.Both RFE-RF GeoDetector-RF had higher AUC values,respectively 0.863 and 0.860,than RF(0.853).These results confirm the ability of factor optimization methods to improve the performance of landslide susceptibility models. | Xinzhi Zhou Haijia Wen Yalan Zhang Jiahui Xu Wengang Zhang | 2021 | Geoscience Frontiers2021，12，5： | 12 |
| 2 | Active Contours Based on Image Laplacian Fitting Energy显示文摘 | ZHANG Kaihua XU Shoushi ZHOU Wengang LIU Bo | 2009 | Chinese Journal of Electronics2009，18，2： | 7 |
| 3 | Bifidobacteria DNA Induces Murine Macrophages Activation in vitro显示文摘Previous studies have shown that oligodeoxynucleotides containing unmethylated CpG motifs were used as adjuvants for immunoregulation and immune response. This study was to explore the activation effects of Bifidobacteria DNA containing unmethylated CpG motifs (CpG DNA) on murine macrophage J774A.1 cells. The genomic DNA of Bifidobacteria was extracted and purified, and the methylation degree of CpG motifs was tested.The phagocytic ability of the macrophages was detected by flow cytometry. The cytokines (IL-1β, IL-6, IL-12p40 and TNF-α) levels in the culture supernatants of Bifidobacteria DNA treated J774A.1 cells were assayed by ELISA. The content of nitric oxide (NO) was detected by Griess reagent. After treated with Bifidobacteria DNA for 24h,Nile Red stain increased in J774A.1 macrophage, which suggested that the lipid metabolism increased in the macrophages. The phagocytic ability and levels of NO and cytokines of IL-1β, IL-6, IL-12p40 and TNF-α were significantly higher than PBS group and CT DNA group. The results indicated that Bifidobacteria DNA could activate murine macrophages J774A.1, which could provide scientific basis for the research and application of microorganism DNA preparation. | Yalin Li Xun Qu Hua Yang Li Kang Yingping Xu Bo Bai Wengang Song | 2005 | Cellular & Molecular Immunology2005，2，6： | 6 |
| 4 | Neutralization of interleukin-17A alleviates burn-induced intestinal barrier disruption via reducing pro-inflammatory cytokines in a mouse model显示文摘Background:The intestinal barrier integrity can be disrupted due to burn injury,which is responsible for local and systemic inflammatory responses.Anti-inflammation strategy is one of the proposed therapeutic approaches to control inflammatory cascade at an early stage.Interleukin-17A(IL-17A)plays a critical role in inflammatory diseases.However,the role of IL-17A in the progression of burn-induced intestinal inflammation is poorly understood.In this study,we aimed to investigate the effect of IL-17A and associated pro-inflammatory cytokines that were deeply involved in the pathogenesis of burn-induced intestinal inflammatory injury,and furthermore,we sought to determine the early source of IL-17A in the intestine.Methods:Mouse burn model was successfully established with infliction of 30%total body surface area scald burn.The histopathological manifestation,intestinal permeability,zonula occludens-1 expression,pro-inflammatory cytokines were determined with or without IL-17A-neutralization.Flow cytometry was used to detect the major source of IL-17A^(+)cells in the intestine.Results:Burn caused intestinal barrier damage,increase of intestinal permeability,alteration of zonula occludens-1 expressions,elevation of IL-17A,IL-6,IL-1βand tumor necrosis factor-α(TNF-α),whereas IL-17A neutralization dramatically alleviated burn-induced intestinal barrier disruption,maintained zonula occludens-1 expression,and noticeably,inhibited pro-inflammatory cytokines elevation.In addition,we observed that the proportion of intestinal IL-17A^(+)Vγ4^(+)T subtype cells(but not IL-17A^(+)Vγ1^(+)T subtype cells)were increased in burn group,and neutralization of IL-17A suppressed this increase.Conclusions:The main original findings of this study are intestinal mucosa barrier is disrupted after burn through affecting the expression of pro-inflammatory cytokines,and a protective role of IL-17A neutralization for intestinal mucosa barrier is determined.Furthermore,Vγ4^(+)T cells are identified as the major early producers of IL-17A that orchestrate an inflammatory response in the burn model.These data suggest that IL-17A blockage may provide a unique target for therapeutic intervention to treat intestinal insult after burn. | Yajun Song Yang Li Ya Xiao Wengang Hu Xu Wang Pei Wang Xiaorong Zhang Jiacai Yang Yong Huang Weifeng He Chibing Huang | 2019 | Burns & Trauma2019，7，1： | 5 |
| 5 | Bushen Qiangjin capsule(补肾强筋胶囊) inhibits the Wnt/β-catenin pathway to ameliorate papain-induced knee osteoarthritis in rats显示文摘OBJECTIVE:To evaluate the molecular mechanism underlying the beneficial effect of Bushen Qiangjin capsule(补肾强筋胶囊,BSQJ),a Traditional Chinese Medicine,on knee osteoarthritis(KOA).METHODS:In the present study,32 female Sprague-Dawley rats were randomly divided into four groups:control,KOA,high-dose BSQJ(H-BSQJ),and low-dose BSQJ(L-BSQJ).After successfully establishing the KOA model by intra-articular injection of papain,H-BSQJ and L-BSQJ groups were intragastrically administered 0.243 and 0.122 g/kg BSQJ,respectively,daily for 6 weeks.At the end of the experiment,knee articular cartilage tissues of rats were collected for evaluation by hematoxylin and eosin staining,Safranin O-Fast Green staining,and terminal deoxynucleotidyl transferase-mediated d UTP nick-end labeling assay.Serum interleukin-1βand tumor necrosis factor-αlevels of rats were detected with an enzyme-linked immunosorbent assay method.Gene expression of Wnt-4,β-catenin,Frizzled-2,glycogen synthase kinase-3β(GSK-3β),cysteinyl aspartate-specific proteinases 3 and 9(caspases 3 and 9),collagen typeⅡalpha 1(Col2 a1),and matrix metalloproteinases 1 and 13(MMP-1 and MMP-3)of rat knee articular cartilage was quantified by reverse transcription-quantitative polymerase chain reaction analysis.Wnt-4,β-catenin,Frizzled-2,GSK-3β,cleaved caspase-3,and cleaved caspase-9 protein expression in rat knee articular cartilage was determined by western blot analysis.RESULTS:BSQJ obviously reduced pathological damage and matrix degradation of articular cartilage in KOA rats.Compared with the KOA group,H-BSQJ rats exhibited downregulated m RNA and protein expression of Wnt-4,β-catenin,Frizzled-2,and caspase-3,as well as upregulated m RNA and protein expression of GSK-3β.In addition,H-BSQJ significantly increased m RNA expression of Col2 a1 and decreased m RNA expression of MMP-1 and MMP-13.CONCLUSION:BSQJ exerted a beneficial effect on KOA by a mechanism involving downregulation of the Wnt/β-catenin pathway,which inhibited both cartilage extracellular matrix degradation and chondrocyte apoptosis to ameliorate KOA in rats. | YAO Nan CHEN Guocai LU Yanyan XU Xuemeng ZHAO Chuanxi HUANG Xuejun LIU Wengang PENG Sha WU Huai | 2021 | Journal of Traditional Chinese Medicine2021，41，6： | 5 |
| 6 | Genome wide association study identifies SNPs associated with fatty acid composition in Chinese Wagyu cattle显示文摘Background: Fatty acids are important traits that affect meat quality and nutritive values in beef cattle. Detection of genetic variants for fatty acid composition can help to elucidate the genetic mechanism underpinning these traits and promote the improvement of fatty acid profiles. In this study, we performed a genome-wide association study(GWAS) on fatty acid composition using high-density single nucleotide polymorphism(SNP) arrays in Chinese Wagyu cattle.Results: In total, we detected 15 and 8 significant genome-wide SNPs for individual fatty acids and fatty acid groups in Chinese Wagyu cattle, respectively. Also, we identified nine candidate genes based on 100 kb regions around associated SNPs. Four SNPs significantly associated with C14:1 cis-9 were embedded with stearoyl-CoA desaturase(SCD), while three SNPs in total were identified for C22:6 n-3 within Phospholipid scramblase family member 5(PLSCR5), Cytoplasmic linker associated protein 1(CLASP1), and Chymosin(CYM). Notably, we found the top candidate SNP within SCD can explain ~ 7.37% of phenotypic variance for C14:1 cis-9.Moreover, we detected several blocks with high LD in the 100 kb region around SCD. In addition, we found three significant SNPs within a 100 kb region showing pleiotropic effects related to multiple FA groups(PUFA,n-6, and PUFA/SFA), which contains BAI1 associated protein 2 like 2(BAIAP2 L2), MAF bZIP transcription factor F(MAFF),and transmembrane protein 184 B(TMEM184 B).Conclusions: Our study identified several significant SNPs and candidate genes for individual fatty acids and fatty acid groups in Chinese Wagyu cattle, and these findings will further assist the design of breeding programs for meat quality in cattle. | Zezhao Wang Bo Zhu Hong Niu Wengang Zhang Ling Xu Lei Xu Yan Chen Lupei Zhang Xue Gao Huijiang Gao Shengli Zhang Lingyang Xu Junya Li | 2019 | Journal of Animal Science and Biotechnology2019，10，2： | 4 |
| 7 | TBM penetration rate prediction based on the long short-term memory neural network显示文摘Tunnel boring machines(TBMs)are widely used in tunnel engineering because of their safety and efficiency.The TBM penetration rate(PR)is crucial,as its real-time prediction can reflect the adaptation of a TBM under current geological conditions and assist the adjustment of operating parameters.In this study,deep learning technology is applied to TBM performance prediction,and a PR prediction model based on a long short-term memory(LSTM)neuron network is proposed.To verify the performance of the proposed model,the machine parameters,rock mass parameters,and geological survey data from the water conveyance tunnel of the Hangzhou Second Water Source project were collected to form a dataset.Furthermore,2313 excavation cycles were randomly composed of training datasets to train the LSTM-based model,and 257 excavation cycles were used as a testing dataset to test the performance.The root mean square error and the mean absolute error of the proposed model are 4.733 and 3.204,respectively.Compared with Recurrent neuron network(RNN)based model and traditional time-series prediction model autoregressive integrated moving average with explanation variables(ARIMAX),the overall performance on proposed model is better.Moreover,in the rapidly increasing period of the PR,the error of the LSTM-based model prediction curve is significantly smaller than those of the other two models.The prediction results indicate that the LSTM-based model proposed herein is relatively accurate,thereby providing guidance for the excavation process of TBMs and offering practical application value. | Boyang Gao RuiRui Wang Chunjin Lin Xu Guo Bin Liu Wengang Zhang | 2021 | Underground Space2021，6，6： | 4 |
| 8 | Synthesis and electrochemical properties of Li_2MnSiO_4/C nanoparticles via polyol process显示文摘Carbon-coated lithium manganese silicate(Li2MnSiO4/C) nanoparticles were synthesized by polyol process.X-ray diffraction(XRD) patterns of the obtained materials exhibit a good fit with that of the Li2MnSiO4 phase.Field emission scanning electron microscopy(FESEM) images of the obtained samples show that the particle size is only tens of nanometers.The high resolution transmission electron microscopy(HRTEM) analysis shows that the Li2MnSiO4 nanoparticles are surrounded by a very thin film of amorphous carbon.The composite prepared through polyol process shows good performance as cathode materials in lithium cells at room temperature.The charge capacity of the Li2MnSiO4/C samples is 219 mAh/g(about 1.3 Li+ per unit formula extracted),and the discharge capacity is 132 mAh/g(about 0.8 Li+ per unit formula inserted) in the first cycle in the voltage range of 1.5-4.8 V.A good capacity cycling maintenance of 81.8% after 10 cycles was obtained. | LIU Wengang XU Yunhua YANG Rong | 2010 | Rare Metals2010，29，5： | 3 |
| 9 | Machine learning for adjoint vector in aerodynamic shape optimization显示文摘Adjoint method is widely used in aerodynamic design because only once solution of flow field is required for it to obtain the gradients of all design variables. However, the computational cost of adjoint vector is approximately equal to that of flow computation. In order to accelerate the solution of adjoint vector and improve the efficiency of adjoint-based optimization, machine learning for adjoint vector modeling is presented. Deep neural network (DNN) is employed to construct the mapping between the adjoint vector and the local flow variables. DNN can efficiently predict adjoint vector and its generalization is examined by a transonic drag reduction of NACA0012 airfoil. The results indicate that with negligible computational cost of the adjoint vector, the proposed DNN-based adjoint method can achieve the same optimization results as the traditional adjoint method. | Mengfei Xu Shufang Song Xuxiang Sun Wengang Chen Weiwei Zhang | 2021 | Acta Mechanica Sinica2021，37，9： | 1 |
| 10 | Establishment of an orthotopic perirenal space xenograft mousemodel of retroperitoneal sarcoma显示文摘Dear Editor,Soft tissue sarcomas are a heterogeneous group of rare malignancies with mesenchymal origin that can arise at any anatomic site.They account for almost 1.5% of all malignancies in humans,with an increased incidence in young adults[1,2].The retroperitoneum is the primary site of 15%-20% of soft tissue sarcomas[3,4]. | Fu’an Xie Dongmei Qin Lanlan Lian Ming Li Xu Kong Xiaogang Xia Chundong Yu Chenghua Luo Wengang Li | 2021 | Cancer Communications2021，41，7： | 1 |
| 11 | Sequence determination of a non-sulfated glycosaminoglycan-like polysaccharide from melanin-free ink of the squid Ommastrephes bartrami by negative-ion electrospray tandem mass spectrometry and NMR spectroscopy显示文摘 | Shiguo Chen Jie Xu Changhu Xue Ping Dong Wenjing Sheng Guangli Yu Wengang Chai | 2008 | Glycoconjugate Journal2008，，5： | 1 |
| 12 | Joint power control and relay selection scheme for cognitive two-way relay networks显示文摘A joint power control and relay selection scheme is considered for a cooperative and cognitive radio system where a secondary network shares spectrum with the primary network. In the secondary network, two secondary users (SUs) communicate with each other via an assist relay. The main point is to provide the best system performance to SUs while maintaining the interference power at primary user (PU) under a certain level. Using convex optimization, a closed-form solution is obtained when optimizing the power allocation among the two nodes and relay. Based on this result, a joint power control and relay selection scheme with fewer variable dimensions is proposed to maximize the achievable rate of the secondary system. Simulation results demonstrate that the sum rate of the cognitive two-way relay network increases compared with a random relay selection and fixed power allocation. | Dingcheng Yang Lin Xiao Jisheng Xu Wengang Li | 2013 | Journal of Systems Engineering and Electronics2013，24，4： | 1 |
| 13 | User Role Discovery and Optimization Method Based on K-means++ and Reinforcement Learning in Mobile Applications显示文摘With the widespread use of mobile phones,users can share their location and activity anytime,anywhere,as a form of check-in data.These data reflect user features.Long-term stability and a set of user-shared features can be abstracted as user roles.This role is closely related to the users’social background,occupation,and living habits.This study makes four main contributions to the literature.First,user feature models from different views for each user are constructed from the analysis of the check-in data.Second,the K-means algorithm is used to discover user roles from user features.Third,a reinforcement learning algorithm is proposed to strengthen the clustering effect of user roles and improve the stability of the clustering result.Finally,experiments are used to verify the validity of the method.The results show that the method can improve the effect of clustering by 1.5∼2 times,and improve the stability of the cluster results about 2∼3 times of the original.This method is the first time to apply reinforcement learning to the optimization of user roles in mobile applications,which enhances the clustering effect and improves the stability of the automatic method when discovering user roles. | Yuanbang Li Wengang Zhou Chi Xu Yuchun Shi | 2022 | Computer Modeling in Engineering & Sciences2022，，6： | 0 |
| 14 | Impairment of rigidity sensing caused by mutant TP53 gain of function in osteosarcoma显示文摘Osteosarcoma(OS)is the most common primary malignant pediatric bone tumor and is characterized by high heterogeneity.Studies have revealed a wide range of phenotypic differences among OS cell lines in terms of their in vivo tumorigenicity and in vitro colony-forming abilities.However,the underlying molecular mechanism of these discrepancies remains unclear.The potential role of mechanotransduction in tumorigenicity is of particular interest.To this end,we tested the tumorigenicity and anoikis resistance of OS cell lines both in vitro and in vivo.We utilized a sphere culture model,a soft agar assay,and soft and rigid hydrogel surface culture models to investigate the function of rigidity sensing in the tumorigenicity of OS cells.Additionally,we quantified the expression of sensor proteins,including four kinases and seven cytoskeletal proteins,in OS cell lines.The upstream core transcription factors of rigidity-sensing proteins were further investigated.We detected anoikis resistance in transformed OS cells.The mechanosensing function of transformed OS cells was also impaired,with general downregulation of rigidity-sensing components.We identified toggling between normal and transformed growth based on the expression pattern of rigidity-sensing proteins in OS cells.We further uncovered a novel TP53 mutation(R156P)in transformed OS cells,which acquired gain of function to inhibit rigidity sensing,thus sustaining transformed growth.Our findings suggest a fundamental role of rigidity-sensing components in OS tumorigenicity as mechanotransduction elements through which cells can sense their physical microenvironment.In addition,the gain of function of mutant TP53 appears to serve as an executor for such malignant programs. | Ming Luo Mingyang Huang Ningning Yang Yufan Zhu Peng Huang Zhujun Xu Wengang Wang Lin Cai | 2023 | Bone Research2023，11，2： | 0 |
| 15 | Synthesis of Fluorene Derivatives Via TfOH-catalyzed Intramolecular Friedel-Crafts Alkylation Reactions显示文摘We devoloped an efficient and simple method to synthesize fluorene derivatives via intramolecular Friedel-Crafts alkylation of chalcones.The transform is catalyzed by TfOH in CH_(3)NO_(2)at 80℃and the yield is up to 99%. | ZHOU Ziyang YI Ying ZHANG Fanglin XU Wengang LU Zhi LUO Tian | 2023 | Journal of Wuhan University of Technology(Materials Science)2023，38，5： | 0 |
| 16 | Multi-Frequency-Ranging Positioning Algorithm for 5G OFDM Communication Systems显示文摘The accurate determination of vehicle location is of great research significance,considering challenges such as the multipath environment and the absence of Global Navigation Satellite System(GNSS)signals.In this particular environment,vehicles equipped with 5G wireless communication devices can enhance their positioning accuracy by exchanging information with infrastructure(vehicle-to-infrastructure,V2I).Therefore,in this paper,we propose a multifrequency ranging method and positioning algorithm specifically designed for 5G orthogonal frequency division multiplexing(OFDM)communication systems.Our approach involves selecting specific subcarriers within the OFDM communication system for transmitting ranging frames and capturing delay observations.Importantly,this selection does not affect the functionality of other subcarriers used for regular communication.By utilizing dedicated subcarriers for ranging and positioning,we achieve accurate vehicle location without significantly impacting communication capacity.We outline the method for selecting ranging subcarriers and describe the format of the ranging frame carried by these subcarriers.To evaluate the effectiveness of our system,we prove the Cramér-Rao lower bound of this ranging positioning system.The obtained ranging positioning accuracy meets the requirements for vehicle location applications.In our experimental simulations,we compare the performance of our system with other positioning methods,demonstrating its superiority.Additionally,we provide theoretical proofs and simulations that establish the relationship between ranging accuracy and channel parameters in a multipath environment.The simulation results indicate that,under the conditions of a 5 GHz frequency and a high signal-to-noise ratio,our system achieves a positioning accuracy of approximately 5 cm. | LI Wengang XU Yaqin ZHANG Chenmeng TIAN Yiheng LIU Mohan HUANG Jun | 2023 | Chinese Journal of Electronics2023，32，4： | 0 |
| 17 | Secondary transfer length and residual prestress of fractured strand in post-tensioned concrete beams显示文摘An experimental study is performed on five post-tensioned concrete beams to explore the effects of different fracture positions on secondary transfer length and residual prestress of fractured strand.A numerical model is developed and used to predict the secondary transfer length and residual prestress of fractured strand in post-tensioned concrete beams.The model change interaction,which can deactivate and reactivate the elements for simulating the removal and reproduction of parts of the model,is used to reproduce the secondary anchorage of fractured strand.The numerical model is verified by experimental results.Results shows that the fractured strand can be reanchored in concrete through the secondary anchorage,and the secondary transfer length of fractured strand with the diameter of 15.2 mm is 1133 mm.The residual prestress of fractured strand increases gradually in the secondary transfer length,and tends to be a constant beyond it.When the fractured strand is fully anchored in concrete,a minor prestress loss will appear,and the average prestress loss is 2.28%in the present study. | Lizhao DAI Wengang XU Lei WANG Shanchang YI Wen CHEN | 2022 | Frontiers of Structural and Civil Engineering2022，16，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员