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Experimental Study on Noncoaxial Characteristics of Saturated Remolded Loess

ADVANCES IN CIVIL ENGINEERING 2020年第1期2020卷

作者： Jiang, Xuemeng Niu, Haoshuang huang, Wenpeng Shang, xuwen Wang, Deng Changan Univ Key Lab Special Area Highway Engn Minist Educ Xian 710064 Peoples R China

In practical engineering, if the influence of noncoaxial stress and strain is not considered, part of soil deformation will be ignored, resulting in the structural design which is not safe enough. A series of undrained tests was performed on remolded loess specimens using a hollow cylinder apparatus to examine the coupling between principal stress magnitude and direction in these specimens. First, the elastic parameters of remolded loess were obtained, and these parameters were used as the basis for investigating the noncoaxiality of the soil body under principal stress axis rotation (PSAR). The effects of elastic strain, intermediate principal stress coefficient, and magnitude of the deviatoric stress on the noncoaxiality of remolded loess were also investigated. The results of these experiments show that remolded loess exhibits significant noncoaxial behavior during PSAR. The noncoaxiality angle of remolded loess cyclically fluctuates with increases in the principal stress angle. It was also observed that the noncoaxiality angle will be overestimated if the effects of elastic strain are overlooked. Reversals in the direction of PSAR cause dramatic changes in the noncoaxiality angle. Increases in the intermediate principal stress coefficient are accompanied by increases in the noncoaxiality angle, up to a certain degree;however, these changes do not affect the development of the noncoaxiality angle. In coupled rotational tests with a range of deviatoric stress amplitudes, it was observed that changes in the deviatoric stress amplitude will affect the development of the noncoaxiality angle;increases in the deviatoric stress amplitude cause the noncoaxiality angle versus principle stress angle plot to shift to the left gradually, thus accelerating the trends of the noncoaxiality angle. Increases in the cycle number also increase the noncoaxiality of remolded loess.

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Folic acid-decorated vitamin E Poly(ethylene glycol) monoplatinum ester with disulfide bond as theranostic nanoparticle for drug resistant tumor diagnosis and treatment

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MATERIALS RESEARCH EXPRESS 2023年第11期10卷 115404-115404页

作者： Li, Zhuoran Yang, Huikang Xu, Fan Zeng, xuwen huang, Haowei Jiang, Xinqing Jinan Univ Dept Radiol Guangzhou Red Cross Hosp Guangzhou Guangdong Peoples R China South China Univ Technol Guangzhou Peoples Hosp 1 Sch Med Dept Radiol Guangzhou Guangdong Peoples R China Jinan Univ Dept Radiotherapy Guangzhou Red Cross Hosp Guangzhou Guangdong Peoples R China Jinan Univ Guangzhou Peoples Hosp 1 Dept Radiol Guangzhou Guangdong Peoples R China

Vitamin E Poly(ethylene glycol) monoplatinum ester (TPGS) nanoparticles have attracted much attention in recent years for overcome multidrug resistance. Herein, a well-defined folic acid (FA)-conjugated and disulfide bond-linked polymer (FA-SS-TPGS) was synthesized. These polymer nanoparticles were utilized as theranostic agents for tumor-targeted magnetic resonance imaging (MRI) and chemotherapy. By loading doxorubicin (DOX) and superparamagnetic iron oxide (SPIO) particles into TPGS nanoparticles, FA-SS-TPGS@DOX/SPIO nanoparticles are obtained. In vitro drug release studies revealed that under a reducing environment in the presence of glutathione (GSH), approximately 100% of the doxorubicin (DOX) was released from the disulfide bond-linked theranostic nanoparticles within 24 h. DOX and SPIO were efficiently delivered into HepG2-ADM cells due to the folate receptor-mediated endocytosis process of the nanoparticles. Additionally, the presence of glutathione (GSH) triggered the cleaving of the disulfide bonds, further facilitating the delivery of DOX and SPIO into the cells. Furthermore, the FA-SS-TPGS @DOX-SPIO nanoparticles exhibited strong MRI contrast enhancement properties. In conclusion, FA-SS-TPGS@DOX/SPIO are potential nanoparticles for tumor-targeted MRI and chemotherapy, which can also overcome multidrug resistance.

关键词： multidrug resistance TPGS tumor-targeted disulfide bond theranostic nanoparticles

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Structural brain characteristics and gene co-expression analysis: A study with outcome label from normal cognition to mild cognitive impairment

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NEUROBIOLOGY OF LEARNING AND MEMORY 2022年第0期191卷 000-000页

作者： Cai, Suping Yang, Fan Wang, xuwen Wu, Sijia huang, Liyu Xidian Univ Sch Life Sci & Technol Xian 710071 Shaanxi Peoples R China

Background: Longitudinal studies reported that some elderly people with normal cognition (NC) converted to mild cognitive impairment (MCI), and some remained normal state (NC_S). The underlying factor for this difference conversion of NC is worthy of exploration Methods: Eighty-three NC participants were tracked for eight years. Thirty participants transitioned from NC to MCI (NC_MCI). The remaining 53 participants retained an NC_S. The structural brain features and genetic expression of the 83 NC participants were obtained. We applied weighted gene co-expression network analysis (WGCNA) to inquire into the co-expression network of those. Mediator effect analysis of regulatory roles was conducted to inquire into the associations between brain measures, expression values, and clinical scores. Results: The main results are: 1) 20 brain features and 740 gene expression had significant differences between the two groups, 2) one module including 187 genes had the most correlation with cortical thickness of left superior temporal sulcus (***), 3) NFKBIA and RARA genes were the top two genes that made the greatest contribution to *** thickness, and 4) mediating effect was found between the *** thickness, the NFKBIA and RARA expression levels, and clinical scores. Conclusion: Our results provide a theoretical foundation based on gene expression and brain imaging for the factors of NC with different outcomes.

关键词： Conversion WGCNA analysis T1-weighted MRI images NFKBIA and RARA genetic expression Mediator effect

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Accurate multiclassification and segmentation of gastric cancer based on a hybrid cascaded deep learning model with a vision transformer from endoscopic images

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INFORMATION SCIENCES 2024年 670卷

作者： Ul Haq, Ejaz Yong, Qin Yuan, Zhou huang, Jianjun Ul Haq, Rizwan Qin, xuwen Dongguan Univ Technol Sch Comp Sci & Technol Dongguan Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin Peoples R China Shenzhen Univ Sch Elect & Informat Engn Shenzhen Peoples R China Khushal Khan Khattak Univ KPK Karak Pakistan Shenzhen Int Exchange Coll Shenzhen Grade A1 Shenzhen Peoples R China

Compared with other forms of cancer, gastric cancer has high mortality and incidence rates, making it a major cause of death worldwide. Accurate diagnosis is crucial in the treatment of stomach cancer. Researchers have used deep learning techniques facilitated by developments in artificial intelligence to classify and segment endoscopic images of stomach cancer. Most recent research examining endoscopic images of stomach cancer has used a binary classification system, which is insufficient for practical use. False -positives and computational costs become problematic when segmentation is applied to all the images of healthy patients obtained throughout the evaluation. Hence, the expected level of performance has not been attained in the real-time multiclassification and segmentation of stomach cancer. In this study, we present a deep learning -based technique for multiclassification of endoscopic images by combining modified GoogLeNet and vision transformer (ViT) models and identifying invasive areas based on Faster RCNN. The classification of endoscopic images into three categories, namely, normal, early gastric cancer, and advanced gastric cancer, is accomplished by using a hybrid approach including modified GoogLeNet and vision transformer (ViT) models. Gastric cancer regions are then identified and segmented in the endoscopic images using the Faster R -CNN method. The Faster R -CNN algorithm is used with an endoscopic image as input, resulting in the generation of a bounding box and label image that accurately represents the gastric cancerous area. The proposed model achieved an accuracy, sensitivity and F1 -score of 97.4%, 97.5% and 95.9%, respectively, for the classification of noncancerous, early gastric cancer and advanced gastric cancer. Furthermore, the performance of the segmentation method was also validated based on evaluation metrics and achieved 96.7%, 96.6% and 95.5% accuracy, sensitivity and F1 -score, respectively, for the segmentation of noncancer

关键词： Gastric cancer Transformer Classification Segmentation Deep learning

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Structure-Based Drug Design and Identification of H₂O-Soluble and Low Toxic Hexacyclic Camptothecin Derivatives with Improved Efficacy in Cancer and Lethal Inflammation Models in Vivo

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JOURNAL OF MEDICINAL CHEMISTRY 2018年第19期61卷 8613-8624页

作者： Pang, Peichen Chen, Jiean Li, Xijian Li, Miyang Yu, Huidong Zhao, Jean J. Ni, Jing Wang, xuwen Sun, Huiyong Tian, Sheng Zhu, Feng Liu, Feng huang, Yong Hou, Tingjun Zhejiang Univ Coll Pharmaceut Sci Hangzhou 310058 Zhejiang Peoples R China Zhejiang Univ State Key Lab CAD&CG Hangzhou 310058 Zhejiang Peoples R China Peking Univ State Key Lab Chem Oncogen Key Lab Chem Genom Shenzhen Grad Sch Shenzhen 518055 Guangdong Peoples R China Rongene Pharma Co Ltd Guangzhou 510663 Guandong Peoples R China Dana Farber Canc Inst Dept Canc Biol Boston MA 02215 USA Harvard Med Sch Dept Biol Chem & Mol Pharmacol Boston MA 02215 USA Soochow Univ Coll Pharmaceut Sci Suzhou 215123 Jiangsu Peoples R China

Camptothecin (CPT) has been shown to block disassembly of the topoisomerase I (Topo I)/DNA cleavable complex. However, the poor aqueous solubility, intrinsic instability, and severe toxicity of CPTs have limited their clinical applications. Herein, we report the design and synthesis of H2O-soluble and orally bioavailable hexacyclic CPT derivatives. By analysis of a virtual chemical library and cytotoxicity screening in vitro, 9 and 11 were identified as potential prodrugs and chosen for further characterization in vivo. Both compounds exhibited remarkable anticancer and anti-inflammation efficacies in animals and improved drug-like profiles.

关键词： Mixtures Rodent models Solubility Genetics Toxicity

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Multiomics strategy reveals the accumulation and biosynthesis of bitter components in Zanthoxylum schinifolium Sieb. et Zucc

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FOOD RESEARCH INTERNATIONAL 2022年第PartA期162卷 111964页

作者： huang, Shan Wang, Lu Wang, Zhirong Yang, Gang Xiang, xuwen An, Yuanzhe Kan, Jianquan Southwest Univ Coll Food Sci 2 Tiansheng Rd Chongqing 400715 Peoples R China Yangzhou Univ Sch Food Sci & Engn Yangzhou 225127 Jiangsu Peoples R China Minist Agr & Rural Affairs Peoples Republic of Chi Lab Qual & Safety Risk Assessment Agroprod Storage Chongqing 400715 Peoples R China Chinese Hungarian Cooperat Res Ctr Food Sci Chongqing 400715 Peoples R China Chongqing Key Lab Speciality Food Co-Built Sichuan Chongqing 400715 Peoples R China

The perceptible bitterness of Zanthoxylum schinifolium Sieb. et Zucc is an important factor limiting its con-sumption. Metabolomics was used to identify potentially bitter metabolites during the development of Z. schinifolium, and dynamic changes in 17 key bitter components were characterized. The key bitter components in Z. schinifolium at different developmental stages were mainly synthesized through the "phenylpropanoid biosynthesis", "flavonoid biosynthesis", and "flavone and flavonol biosynthesis" pathways. In combination with transcriptomic data, the expression of related genes regulates the accumulation process of these bitter compo-nents;based on this, a biosynthetic pathway of bitter components in Z. schinifolium was constructed. In addition, quercetin-3-galactoside, isoquercitin, quercitrin, kaempferol, and isorhamnetin were identified as the main sources of bitterness in mature Z. schinifolium based on an evaluation of taste activity value. These findings provide valuable information for understanding mechanisms underlying Z. schinifolium bitterness and promoting the further development of high-quality Z. schinifolium.

关键词： Zanthoxylum schinifolium Sieb et Zucc Bitter sensory evaluation Bitter component Transcriptomics Metabolomics Biosynthesis

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新闻非编制播网安全策略

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广播与电视技术 2007年第8期34卷 75-76,78,79页

作者：马旭文黄培建宁波电视台

目前国内建成了众多的新闻非编制播网络,但网络的安全问题一直困扰着网络的建设者。本文介绍了新闻非编制播网络应有一系列安全策略,并对宁波电视台新闻非编制播网的技术亮点进行解析。

关键词：网络新闻非编制播网安全策略

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Transient Stability Evaluation of Independent Microgrid based on Message Passing Graph Neural Network

Transient Stability Evaluation of Independent Microgrid base...

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International Conference on Electronics Technology (ICET)

作者： Jiubao Zhen Shufan huang xuwen Jia Haocheng Du College of Information and Electrical Engineering China Agricultural University Beijing China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

Virtual synchronous generator is used to control independent microgrid to provide inertia and damping support, but it often brings transient stability problems. Due to the large number of nonlinear and non-smooth characteristics of highly electronic independent microgrid, it is difficult to analyze it by the traditional transient stability analysis method. In this paper, the independent microgrid controlled by virtual synchronization is taken as the object. Firstly, we compare the impact of detailed modeling of energy storage and simplified modeling on the transient stability, and then discuss the impact of current limiting link of virtual synchronous machine on the transient stability. Secondary, combined with the idea of graph neural network, we propose an independent microgrid transient stability evaluation model based on message passing graph neural network. The information corresponding to bus and transmission lines in microgrid is aggregated and updated by message passing mechanism, so as to depict the topological connection relationship of microgrid, and then consider the influence of topology structure on transient stability evaluation. Last, a WSCC-9 system with virtual synchronous machine is taken as an example. The results show that considering the energy storage detailed model and current limiting link can effectively improve the accuracy of stability analysis. The proposed method has stronger generalization ability and is more applicable to the microgrid system with variable topological structure.

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钢渣-灰岩人工湿地去除粪便污水中的有机物

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水处理技术 2011年第6期37卷 102-105,110页

作者：黄玲张维亚何绪文华北科技学院北京101601 中国矿业大学(北京) 北京100083

构建小试系统研究了钢渣-灰岩垂直潜流人工湿地对粪便污水中有机物的降解效果。同时比较分析了间歇进水时间、填料填铺方式、表层填料、以及四季对钢渣-灰岩垂直潜流湿地降解粪便污水有机物效能的影响。结果表明,钢渣-灰岩垂直潜流人工... 详细信息

构建小试系统研究了钢渣-灰岩垂直潜流人工湿地对粪便污水中有机物的降解效果。同时比较分析了间歇进水时间、填料填铺方式、表层填料、以及四季对钢渣-灰岩垂直潜流湿地降解粪便污水有机物效能的影响。结果表明,钢渣-灰岩垂直潜流人工湿地降解COD在120.93～653.33 mg.L-1的粪便污水是可行的;如果考虑既要保证出水水质,又要提高湿地使用效率和水处理量,60 h是最佳的湿地进水间隔;从长期效果来看,大级配差的正反粒径混合填铺的填料结构更有利于钢渣-灰岩人工湿地保持有机物降解效能;表层的基质材料选择很重要,有一定粒径和渗透性好的土壤-水洗砂的混合物为最佳;湿地在春、夏、秋季对有机物的处理效能较好,而冬季有待于提高。温度与风力发生的变化是季节影响湿地降解有机物的主要因素。

关键词：人工湿地垂直潜流有机物去除粪便污水

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XGB-SEGA coupled energy saving method for wastewater treatment plants

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APPLIED WATER SCIENCE 2024年第2期14卷 29页

作者： Wang, Zijian Zhou, xuwen Wang, Hao huang, Zehan Ji, Jiantao Peng, Zhaoxu Jiang, Kun Beijing Univ Technol Fac Architecture Civil & Transportat Engn Beijing 100124 Peoples R China Zhengzhou Univ Sch Water Conservancy & Transportat Zhengzhou 450001 Peoples R China Harbin Inst Technol Sch Civil & Environm Engn Shenzhen 518055 Peoples R China Cent Plains Environm Protect Co Ltd Zhengzhou 450001 Peoples R China Zhengzhou Univ Sch Ecol & Environm Zhengzhou 450001 Peoples R China CSD Water Serv CO Ltd Beijing 100124 Peoples R China

To reduce the amount of energy consumed in wastewater treatment plants, nine methods were used to select the key operation parameters that affected energy consumption according to daily operation records, and an intelligent operation management system based on a genetic algorithm was constructed by mapping the relationships between energy consumption and the key operation parameters. The results showed that the prediction and management of energy consumption could be achieved by incorporating the strengthened elastic genetic algorithm into the extreme gradient boosting model. The main parameters affecting energy consumption were the influent flow rate, effluent total nitrogen, NH4+-N loading rate, etc., and the energy consumption could be reduced by 13-27% (with an average of 22%). The parameters were all selected from the daily operation records of the wastewater treatment plant, and no additional complex data acquisition system was needed to collect specific parameters. This study provided a cost-effective strategy to reduce energy consumption in wastewater treatment plants.

关键词： Energy saving Extreme gradient boosting (XGB) Genetic algorithm optimization Carbon neutrality Wastewater treatment

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