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2022 International Conference on Wireless Communications, Electrical Engineering and Automation, WCEEA 2022

作者： Xu, Zhi Gao, Xingqu Song, Zhongquan Tian, xuwen jiang, Xiaohan Harbin Far Eastinstitute of Technology Harbin China Northeast Forestry University Engineering Consulting and Design Institute Harbin China

ISBN: (数字)9781665459525

ISBN: (纸本)9781665459525

In the traditional project cost management, due to the influence of many factors, its calculation accuracy is not high enough, which brings great difficulties to the construction project cost management. Using BIM technology to build a cost management model can provide very intuitive analysis results for cost managers, thus providing strong technical support for cost management of construction projects. This paper analyzes the application of BIM technology in construction cost management. © 2022 IEEE.

关键词： Cost engineering

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Optimal Clearing Model of Centralized Market Considering Path Constraints 1

Optimal Clearing Model of Centralized Market Considering Pat...

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International Symposium on Energy Environment and Green Development (EEGD)

作者： Zheng, Zhao Chen, Kening jiang, Yu Liu, xuwen State Grid Energy Res Inst Beijing Peoples R China State Grid JiangSu Elect Power Co Ltd Nanjing Jiangsu Peoples R China

China's electricity market is now still in the mode of "Unified market and two-tier operation" including provincial and inter-provincial market. The inter-provincial market is divided into the medium and long-term market and spot market. This study takes the inter provincial spot market as the research object, and proposes a unified optimization clearing algorithm for inter provincial spot market considering path constraints. The proposed method is able to handle AC-DC hybrid electricity network, and sort and determine the trading pairs using power flow tracing algorithm. The power market software PLEXOS and practical market data are used to simulate the proposed model, and the results show the accuracy and effectiveness.

关键词： Power markets

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Electromagnetic wave absorption properties of red mud-blast furnace slag based geopolymers filled with various wave-absorption materials

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CONSTRUCTION AND BUILDING MATERIALS 2023年 404卷

作者： Wang, Tianyu Ning, xuwen Yang, Lang Rao, Feng jiang, Kaixi Fuzhou Univ Sch Mat Sci & Engn Fuzhou 350108 Fujian Peoples R China Fuzhou Univ Zijin Sch Geol & Min Fuzhou 350108 Fujian Peoples R China Fuzhou Univ Fujian Key Lab Green Extract & High value Utilizat Fuzhou 350108 Fujian Peoples R China

In this work, red mud-blast furnace slag (RM-BFS) based geopolymers with excellent electromagnetic wave absorption property is synthesized through the incorporation of wave-absorption materials. The electromagnetic absorption property of geopolymer is characterized through the arched test, in which the reflection loss of specimens is tested by vector network analyzer (VNA). The microstructure and conductivity of geopolymers are characterized through scanning electron microscopy (SEM), concrete porous structure analyzer and conductivity tester. The crystalline phase and functional groups of geopolymers are characterized by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). Compared to Portland cement concrete (PCC), wave absorption band of the geopolymer is wider and the absorption peak in high frequency band is more intense. With the optimal addition of hollow glass microsphere (HGM), Fe2O3 and graphite particles, the absorption bandwidth with reflection loss less than -5 dB are 12.4, 7.7 and 8.1 GHz, and the maximum reflection loss are -9.4, -8.4 and -8.7 dB, respectively. This study might give a clue for preparation of geopolymers with high electromagnetic wave absorption properties.

关键词： Electromagnetic wave Compressive strength Microstructure Geopolymers Conductivity

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A Methionine Allocation Nanoregulator for the Suppression of Cancer Stem Cells and Support to the Immune Cells by Epigenetic Regulation

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ADVANCED SCIENCE 2025年第15期12卷 e2415207页

作者： Su, Boyu Chen, Qinjun Li, xuwen Fang, Mingzhu Wang, Yu Song, Haolin You, Haoyu Zhou, Zheng Wu, Yuxing Zhao, Zhenhao Chen, Yun Fan, Hongrui Li, Chufeng jiang, Chen Sun, Tao Fudan Univ State Key Lab Med Neurobiol Sch Pharm Dept PharmaceutKey Lab Smart Drug DeliveryMinist Shanghai 201203 Peoples R China MOE Frontiers Ctr Brain Sci Shanghai 201203 Peoples R China Fujian Med Univ Affiliated Hosp 1 Natl Reg Med Ctr Dept Digest Dis Binhai Campus Fuzhou 350212 Peoples R China Quzhou Fudan Inst Quzhou 324003 Peoples R China

Epigenetic dysregulation is prevalent in human cancers, affecting gene expression and metabolic patterns to meet the demands of malignant evolution and abnormal epigenetic processes, and resulting in a protumor immune microenvironment. Tumors require a steady supply of methionine for maintaining epigenetic flexibility, which is the only exogenous precursor of methyl donor S-adenosylmethionine for methylation, crucial for their resistance to therapies and survival in a nutrient-deficient microenvironment. Thus, tumor cells upregulate the Lat4 transporter to compete and deprive methionine in the microenvironment, sustaining their malignant phenotypes and also impairing immune cell functions. Addressing this methionine addiction is the key to overcoming drug resistance and improving immune response. Despite the challenge of lacking specific Lat4 inhibitors, an oxaliplatin prodrug crosslinked fluorinated polycation/anti-Lat4 small interfering RNA complex nanoregulator (AS-F-NP) has been designed and developed here. This nanoregulator restricted the greedy methionine uptake of tumor cells by knocking down Lat4, which in turn inhibited the malignant evolution of the tumor while restoring the viability and function of tumor-infiltrating immune cells.

关键词： cancer therapy epigenetic immune methionine oxaliplatin siRNA

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Study on three-point bending behavior of sandwich beams with novel auxetic honeycomb core

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MATERIALS TODAY COMMUNICATIONS 2023年 35卷

作者： Li, Lizheng He, Qiang Jing, xuwen jiang, Yonggang Yan, Dejun Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212000 Peoples R China Cssc Huangpu Wenchong Shipbuilding Co Ltd Guangdong Prov Key Lab Adv Welding Technol Ships Guangzhou 510715 Peoples R China

To further enhance the impact resistance of honeycomb sandwich beams, an auxetic honeycomb core is proposed by introducing rhombic structure into the concave hexagonal honeycomb, thus obtaining a new auxetic honeycomb core sandwich beam (NDH). The bending resistance of NDH is investigated through numerical simulations. The analysis confirms that the NDH has better bending resistance and energy-absorbing properties than the internally concave hexagonal honeycomb sandwich beam (REH). Furthermore, the stable plastic deformation and high energy absorption is closely related to the bearing position and structural parameters. When the punch is directly above the new honeycomb cell (T-position), NDH shows better bearing capacity. In addition, increasing the panel thickness is conducive to enhancing the bending resistance of sandwich beam. The panel thickness arrangement with t(f)/t(b) > 1 has better bending resistance than other arrangements under the same total front and rear panel thickness. The composite proportional assessment method (COPRAS) is further used to set affect weights of structure parameters on its bending resistance. It is proved that the bending resistance of NDH may be rapidly enhanced by thickening new honeycomb cells. This research provides some perspectives and methods for the future research on the impact resistance for sandwich panels with novel honeycomb core.

关键词： Sandwich beam New auxetic honeycomb core Three-point bending Complex proportional assessment method

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Impact resistance analysis and multi-objective optimization of polyurea-coated auxetic honeycomb sandwich panels

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MATERIALS TODAY COMMUNICATIONS 2023年 35卷

作者： He, Qiang Li, Lizheng Jing, xuwen jiang, Yonggang Yan, Dejun Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212000 Peoples R China Cssc Huangpu Wenchong Shipbuilding Co Ltd Guangzhou 510715 Peoples R China

To investigate the protective capacity and mechanism of polyurea-coated auxetic honeycomb sandwich structures under impact loading. The mechanical properties of a sandwich panel under the action of a cylindrical punch is numerically simulated by LS-DYNA. Firstly, the impact of different coating positions on the protective properties of sandwich panels is analyzed and concluded which coating method is most effective. Then, the mechanism of the impact resistance of sandwich panels strengthened by the thickness, grading and orientation of the auxetic honeycomb cores is discussed by outline volume analysis. Finally, a multi-objective optimization of the sandwich panel's internal concave hexagonal structural parameters with the best impact resistance is carried out. It is shown that the coating of polyurea elastomers can effectively increase the impact protection performance of sandwich panels. The best impact resistance is achieved by the back side coated sandwich panel (type B). Increasing the wall thickness of auxetic honeycomb and the thickness of the upper graded honeycomb core can effectively increase the impact resistance of the type B sandwich panel. Optimized type B sandwich panel has a 6.2% reduction in maximum deflection (D) compared to the unoptimized version. The findings of this research provide a reference for the study and design of polyurea-coated sandwich panels.

关键词： Polyurea elastomer Auxetic honeycomb Impact resistance Numerical simulation

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Pilot-scale catalytic ozonation pretreatment for improving the biodegradability of fixed-bed coal gasification wastewater

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PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 2021年 148卷 13-19页

作者： Chen, Xiaoya Wang, Chunrong jiang, Longxin Li, Haiyan Wang, Jianbing He, xuwen China Univ Min & Technol Beijing Sch Chem & Environm Engn Beijing 100083 Peoples R China

Achieving zero liquid dischargeis a requirement for the development of the coal chemical industry;high pollutant concentration, strong biotoxicity, and poor biodegradability (BOD5/COD=0.1-0.2) make fixed-bed coal gasification wastewater difficult to treat. This study synthesized a Fe-Mn/lava catalyst (FMLC) and performed a pilot-scale test on catalytic ozonation for the pretreatment of fixed-bed coal gasification wastewater. The effects of ozone and catalyst dosages were investigated, and the changes in the organics, biotoxicity, and biodegradability of wastewater were analyzed using three-dimensional fluorescence spectroscopy, BOD5/COD, and specific oxygen uptake rate (SOUR). Energy consumption was also calculated. The removal efficiencies (at a flow rate of 1.0 m(3)/h, ozone dosage of 179 g/h, and catalyst dosage of 40 kg/m(3)) of COD and BOD5 were 61.77% and 16.98%, respectively, after 30 days of continuous operation. Toxic refractory macromolecular organic pollutants were transformed into small, biodegradable substances. BOD5/COD increased from 0.16 to 0.35, and SOUR decreased from 2.8460 to 2.3180 mgO(2)/(gMLSS.h). The operating cost was 1.24 kWh/kg COD. Catalytic ozonation as a pretreatment technology markedly improved biodegradability, reduced biotoxicity, and looks to be promising for treating fixed-bed coal gasification wastewater. (C) 2020 Published by Elsevier B.V. on behalf of Institution of Chemical Engineers.

关键词： Fixed-bed coal gasification wastewater Pilot-scale Catalytic ozonation Fe-Mn/lava catalyst Pretreatment Biodegradability

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The relationship between geometry and hemodynamics of the stenotic carotid artery based on computational fluid dynamics

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CLINICAL NEUROLOGY AND NEUROSURGERY 2023年第1期231卷 107860-107860页

作者： Liu, Yongsheng jiang, Guinan Wang, xuwen An, Xiangbo Wang, Feng Dalian Med Univ Dept Pathol Affiliated Hosp 1 Dalian Peoples R China 222 Zhongshan Rd Dalian Peoples R China

Objective: The purpose of this work was to investigate the relationship between the geometric factors and the hemodynamics of the stenotic carotid ***: We retrospectively reviewed data of patients with carotid stenosis (40%-95%). The Navier-Stokes equations were solved using ANSYS CFX 18.0. Correlation analysis was based on Spearman's test. Geometric variables (p < 0.1 in the univariate analysis) were entered into the logistical regression. A receiver-operating characteristics analysis was used to detect hemodynamically significant lesions. Results: 81 patients (96 arteries) were evaluated. The logistic regression analysis revealed that the translesional pressure ratio was significantly correlated with the stenosis degree (OR = 1.147, p < 0.001) and the angle between internal carotid artery and external carotid artery (angle ?) (OR = 0.933, p = 0.01). The translesional wall shear stress ratio was significantly correlated with stenosis degree (OR = 1.094, p < 0.001), lesion length (OR = 0.873, p = 0.01), lumen area of internal carotid artery (OR = 0.867, p = 0.002), and lumen area of common carotid artery (OR = 1.058, p = 0.01). For predicting low translesional pressure ratio, the AUC was 0.71 (p < 0.001) for angle ?, and was 0.87 (p < 0.001) for stenosis degree. For predicting high translesional wall shear stress ratio, the AUC was 0.62 (p = 0.04) for lumen area of internal carotid artery, and was 0.77 (p < 0.001) for stenosis ***: Apart from stenosis degree, other geometric characteristics of lesions may also have an influence on hemodynamics of the stenotic carotid artery.

关键词： Carotid artery Computational fluid dynamics Geometry Hemodynamics Stenosis

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Nanomaterials with dual immunomodulatory functions for synergistic therapy of breast cancer brain metastases

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Bioactive Materials 2023年第9期27卷 474-487页

作者： Zhenhao Zhao Chufeng Li Yiwen Zhang Chao Li Yongchao Chu xuwen Li Peixin Liu Hongyi Chen Yu Wang Boyu Su Qinjun Chen Tao Sun Chen jiang Department of Pharmaceutics School of PharmacyFudan UniversityKey Laboratory of Smart Drug DeliveryMinistry of EducationState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai201203China

A long-standing paucity of effective therapies results in the poor outcomes of triple-negative breast cancer brain *** has made progress in the treatment of tumors,but limited by the non-immunogenicity of tumors and strong immunosuppressive environment,patients with TNBC brain metastases have not yet benefited from *** immunoregulatory strategies with enhanced immune activation and reversal of the immunosuppressive microenvironment provide new therapeutic options for ***,we propose a cocktail-like therapeutic strategy of microenvironment regulation-chemotherapy-immune synergistic sensitization and construct reduction-sensitive immune microenvironment regulation nanomaterials(SIL@T).SIL@T modified with targeting peptide penetrates the BBB and is subsequently internalized into metastatic breast cancer cells,releasing silybin and oxaliplatin responsively in the ***@T preferentially accumulates at the metastatic site and can significantly prolong the survival period of model *** studies have shown that SIL@T can effectively induce immunogenic cell death of metastatic cells,activate immune responses and increase infiltration of CD8+T ***,the activation of STAT3 in the metastatic foci is attenuated and the immunosuppressive microenvironment is *** study demonstrates that SIL@T with dual immunomodulatory functions provides a promising immune synergistic therapy strategy for breast cancer brain metastases.

关键词： Breast cancer brain metastases Drug delivery Immunogenic cell death Microenvironmental regulation STAT3

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XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees

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ATMOSPHERE 2024年第4期15卷 440页

作者： Li, xuwen jiang, Sheng Wang, Xiangyuan Wang, Tiantian Zhang, Su Guo, Jinjin Jiao, Donglai Jiangsu Prov Environm Monitoring Ctr Nanjing 210019 Peoples R China Nanjing Univ Posts & Telecommun Sch Internet Things Nanjing 210023 Peoples R China

Carbon dioxide (CO2) is currently the most harmful greenhouse gas in the atmosphere. Obtaining long-term, high-resolution atmospheric column CO2 concentration (XCO2) datasets is of great practical significance for mitigating the greenhouse effect, identifying and controlling carbon emission sources, and achieving carbon cycle management. However, mainstream satellite observations provide XCO2 datasets with coarse spatial resolution, which is insufficient to support the needs of higher-precision research. To address this gap, in this study, we integrate spatial information with the extreme random trees model and develop a new machine learning model called spatial extreme random trees (SExtraTrees) to reconstruct a 1 km spatial resolution XCO2 dataset for China from 2016 to 2020. The results indicate that the predictive ability of spatial extreme random trees is more stable and has higher fitting accuracy compared to other methods. Overall, XCO2 in China shows an increasing trend year by year, with the spatial distribution revealing significantly higher XCO2 levels in eastern coastal regions compared to western inland areas. The contributions of this study are primarily in the following areas: (1) Considering the spatial heterogeneity of XCO2 and combining spatial features with the advantages of machine learning, we construct the spatial extreme random trees model, which is verified to have high predictive accuracy. (2) Using the spatial extreme random trees model, we reconstruct high-resolution XCO(2 )datasets for China from 2016 to 2020, providing data support for carbon emission reduction and related decision making. (3) Based on the generated dataset, we analyze the spatiotemporal distribution patterns of XCO2 in China, thereby improving emission reduction policies and sustainable development measures.

关键词： XCO2 spatial downscaling SExtraTrees high resolution spatial features

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