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Burns & Trauma 2017年第2期5卷 68-78页

作者： Haisheng li Junyi Zhou Yizhi Peng Jiaping Zhang Xi Peng Qizhi Luo Zhiqiang Yuan Hong Yan Daizhi Peng Weifeng He Fengjun Wang Guangping liang Yuesheng Huang Jun Wu Gaoxing Luo Institute of Burn Research State Key Laboratory of Trauma Burn and Combined Injury Southwest Hospital Third Military Medical UniversityGaotanyan Street no.29 Shapingba District Chongqing 400038 China

Professor li ao was one of the founders of Chinese burn medicine and one of the most renowned doctors and researchers of burns in China. He established one of the Chinese earliest special departments for burns at Third Military Medical University (TMMU) in 1958. To memorialize Professor li ao on his 100th birthday in 2017 and introduce our extensive experience, it is our honor to briefly review the development and achievement of the Chinese burn medicine from TMMU. The epidemiology and outcomes of admitted burn patients since 1958 were reviewed. Furthermore, main achievements of basic and clinical research for the past roughly 60 years were presented. These achievements mainly included the Chinese Rule of Nine, fluid resuscitation protocol, experience in inhalation injury, wound treatment strategies, prevention and treatment of burn infections, nutrition therapy, organ support therapies, and rehabilitation. The progress shaped and enriched modern Chinese burn medicine and promoted the development of world burn medicine.

关键词： Burn injury Chinese burn medicine li ao Third Military Medical University Inhalation injury

副干酪乳酪杆菌HNU502和粪菌移植缓解抗生素副作用的机制

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食品科学 2025年第3期46卷 1-10页

作者：陈琳李敖黎嘉和张增张家超海南大学食品科学与工程学院海南海口570228

抗生素能够有效治疗细菌感染,但是会使肠道菌群紊乱,从而引起腹泻、胀气和消化不良等副作用。益生菌和粪菌移植(fecal microbiota transplantation,FMT)因具有恢复肠道菌群平衡并缓解各种病症的功能引起广泛关注。本实验以常见的抗生素... 详细信息

抗生素能够有效治疗细菌感染,但是会使肠道菌群紊乱,从而引起腹泻、胀气和消化不良等副作用。益生菌和粪菌移植(fecal microbiota transplantation,FMT)因具有恢复肠道菌群平衡并缓解各种病症的功能引起广泛关注。本实验以常见的抗生素头孢噻肟为代表,结合宏基因组学、病理学分析和气相色谱技术开展FMT和益生菌副干酪乳酪杆菌(Lacticaseibacillus paracasei HNU502)缓解抗生素副作用的机制研究。结果表明,FMT通过恢复紊乱的肠道菌群缓解抗生素副作用,而HNU502通过重建肠道菌群平衡发挥作用。FMT和益生菌补充不同程度地改善了肠道菌群组成,并能够防止杯状细胞缺失,增加黏蛋白2和紧密连接蛋白1含量,从而帮助肠道黏膜恢复。这两种手段也能改善短链脂肪酸代谢紊乱,抑制促炎细胞因子白细胞介素(interleukin,IL)-1β、IL-6、肿瘤坏死因子-α和血清尿素氮分泌,有效减少毒力因子的富集。本研究有助于更好地理解人体健康与肠道菌群之间的联系,可为缓解抗生素副作用提供新的治疗方案,对于改善患者健康状况和生活质量具有现实意义。

关键词：抗生素粪菌移植副干酪乳酪杆菌HNU502 肠道菌群

基于CEEMDAN⁃TCN的短期风电功率预测研究

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现代电子技术 2025年第2期48卷 97-102页

作者：李敖冉华军李林蔚王新权高越三峡大学电气与新能源学院湖北宜昌443002

风力发电作为可再生能源的重要组成部分,在电力系统规划和日常运行中扮演着重要的角色,准确的短期风电功率预测对于电网的稳定运行和优化调度具有重要意义。为提高短期风电功率预测的准确性,提出一种基于自适应噪声完备集合经验模态分... 详细信息

风力发电作为可再生能源的重要组成部分,在电力系统规划和日常运行中扮演着重要的角色,准确的短期风电功率预测对于电网的稳定运行和优化调度具有重要意义。为提高短期风电功率预测的准确性,提出一种基于自适应噪声完备集合经验模态分解和时间卷积网络的短期风电功率预测方法。首先利用自适应噪声完备集合经验模态分解对初始风电功率数据进行分解,得到多个相对稳定的子数据序列;然后将其分别作为时间卷积网络的输入,利用时间卷积网络模型进行特征提取和功率预测;最后将所有预测值进行汇总,得到最终的功率预测值。使用宁夏某地区真实风电功率数据进行验证,并与传统预测模型比较,结果表明所提方法具有较高的预测精度,可为风电功率短期预测等相关工作提供相关参考。

关键词：短期风电功率预测自适应噪声的完备集合经验模态分解(CEEMDAN) 时间卷积网络(TCN) 特征提取预测精度时间序列分析

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Fractional Coloring Planar Graphs under Steinberg-type Conditions

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Acta Mathematica Sinica,English Series 2023年第5期39卷 904-922页

作者： Xiao Lan HU Jia ao li School of Mathematics and Statistics&Hubei Key Laboratory of Mathematical Sciences Central China Normal UniversityWuhan 430079P.R.China School of Mathematical Sciences and LPMC Nankai UniversityTianjin 300071P.R.China

A Steinberg-type conjecture on circular coloring is recently proposed that for any prime p≥5,every planar graph of girth p without cycles of length from p+1 to p(p-2)is Cp-colorable(that is,it admits a homomorphism to the odd cycle Cp).The assumption of p≥5 being prime number is necessary,and this conjecture implies a special case of Jaeger’s Conjecture that every planar graph of girth 2p-2 is Cp-colorable for prime p≥*** this paper,combining our previous results,we show the fractional coloring version of this conjecture is ***,the p=5 case of our fractional coloring result shows that every planar graph of girth 5 without cycles of length from 6 to 15 admits a homomorphism to the Petersen graph.

关键词： Fractional coloring circular coloring planar graphs girth homomorphism

Soft transmission of 3D video for low power and low complexity scenario

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Digital Communications and Networks 2023年第3期9卷 769-778页

作者： ao li Taihai Yang Wenxin Wu Lei Luo School of Communications and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Technology East China Normal UniversityShanghai200062China School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu611731China

Thanks to the rapid development of naked-eye 3D and wireless communication technology,3D video related applications on mobile devices have attracted a lot of ***,the time-varying characteristics of the wireless channel is very challenging for conventional source-channel coding based transmission ***,the high complexity of source-channel coding based transmission scheme is undesired for low power mobile *** advanced transmission scheme named Softcast was proposed to achieve efficient transmission performance for 2D image/***,it cannot be directly applied to wireless 3D video transmission with high *** paper proposes a more efficient soft transmission scheme for 3D video with a graceful quality adaptation within a wide range of channel Signal-to-Noise Ratio(SNR).The proposed method first extends the linear transform to 4 dimensions with additional view dimension to eliminate the view redundancy,and then metadata optimization and chunk interleaving are designed to further improve the transmission ***,a synthesis distortion based chunk discard strategy is developed to improve the overall 3D video quality under the condition of limited *** experimental results demonstrate that the proposed method significantly improves the 3D video transmission performance over the wireless channel for low power and low complexity scenarios.

关键词： Softcast Low power 3D video Wireless

Development of an ANN-based building energy model for information-poor buildings using transfer learning

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Building Simulation 2021年第1期14卷 89-101页

作者： ao li Fu Xiao Cheng Fan Maomao Hu Department of Building Services Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Construction Management and Real Estate College of Civil EngineeringShenzhen UniversityShenzhenChina Oxford e-Research Centre Department of Engineering Science University of OxfordOxfordUK

Accurate building energy prediction is vital to develop optimal control strategies to enhance building energy efficiency and energy *** recent years,the data-driven approach based on machine learning algorithms has been widely adopted for building energy prediction due to the availability of massive data in building automation systems(BASs),which automatically collect and store real-time building operational *** new buildings and most existing buildings without installing advanced BASs,there is a lack of sufficient data to train data-driven predictive *** learning is a promising method to develop accurate and reliable data-driven building energy prediction models with limited training data by taking advantage of the rich data/knowledge obtained from other *** studies focused on the influences of source building datasets,pre-training data volume,and training data volume on the performance of the transfer learning *** present study aims to develop a transfer learning-based ANN model for one-hour ahead building energy prediction to fill this research *** 400 non-residential buildings’data from the open-source Building Genome Project are used to test the proposed *** analysis demonstrates that transfer learning can effectively improve the accuracy of BPNN-based building energy models for information-poor buildings with very limited training *** most influential building features which influence the effectiveness of transfer learning are found to be building usage and *** research outcomes can provide guidance for implementation of transfer learning,especially in selecting appropriate source buildings and datasets for developing accurate building energy prediction models.

关键词： building energy prediction data-driven approach transfer learning neural network information poor buildings

Prediction on CO2 uptake of recycled aggregate concrete

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Frontiers of Structural and Civil Engineering 2020年第3期14卷 746-759页

作者： Kaiwen HUANG ao li Bing XIA Tao DING Department of Structural Engineeving College of Civil EngineeringTongji UniversityShanghai 200092China Shanghai International Airport Company limited Shanghai 200152China

Carbonation of concrete is a process which absorbs carbon dioxide (CO2). Recycled aggregate concrete(RAC) may own greater potential in CO2 uptake due to the faster carbonation rate than natural aggregate concrete (NAC).A quantitative model was employed to predict the CO2 uptake of RAC in this study. The carbonation of RAC and thespecific surface area of recycled coarse aggregates (RCAs) were tested to verify accuracy of the quantitative model. Basedon the verified model, results show that the CO2 uptake capacity increases with the increase of RCA replacementpercentage. The CO2 uptake amount of 1 m^3 C30 RAC within 50 years is 10.6, 13.8, 17.2, and 22.4 kg when the RCAreplacement percentage is 30%, 50%, 70%, and 100%, respectively. The CO2 uptake by RCAs is remarkable and reaches35.8%- 64.3% of the total CO2 uptake by RAC when the RCA storage time being 30 days. Considering the fact that theamount of old hardened cement paste in RCAs is limited, there is an upper limit for the CO2 uptake of RCAs.

关键词： RAC CO2 uptake carbonation specific surface area RCA

A Bipartite Network-based Method for Prediction of Long Non-coding RNA–protein Interactions

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Genomics, Proteomics & Bioinformatics 2016年第1期14卷 62-71页

作者： Mengqu Ge ao li Minghui Wang School of Information Science and Technology University of Science and Technology of China Centers for Biomedical Engineering University of Science and Technology of China

As one large class of non-coding RNAs （ncRNAs）, long ncRNAs （IneRNAs） have gained considerable attention in recent years. Mutations and dysfunction of lncRNAs have been implicated in human disorders. Many lncRNAs exert their effects through interactions with the corresponding RNA-binding proteins. Several computational approaches have been developed, but only few are able to perform the prediction of these interactions from a network-based point of view. Here, we introduce a computational method named lncRN^protein bipartite network inference （LPBNI）. LPBNI aims to identify potential lncRNA-interacting proteins, by making full use of the known IncRNA-protein interactions. Leave-one-out cross validation （LOOCV） test shows that LPBNI significantly outperforms other network-based methods, including random walk （RWR） and protein-based collaborative filtering （ProCF）. Furthermore, a case study was performed to demonstrate the performance of LPBNI using real data in predicting potential lncRNA-interacting proteins.

关键词： lncRNA Protein Interaction Bipartite network Propagation

Reactive DC Magnetron Sputtering Deposition of Copper Nitride Thin Film

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Journal of Materials Science & Technology 2007年第4期23卷 468-472页

作者： Xing＇ao li Zuli liU Kailun Yao Department of Physics Huazhong University of Science and Technology Wuhan 430074 China Scllool of Science Hubei Institute for Nationalities Enshi 445000 China International Center of Material Physics Chinese Academy of Science Shenyang 110016 China

Copper nitride thin film was deposited on glass substrates by reactive DC （direct current） magnetron sputtering at a 0.5 Pa N2 partial pressure and different substrate temperatures. The as-prepared film, characterized with X-Ray diffraction, atomic force microscopy, and X-ray photoelectron spectroscopy measurements, showed a composed structure of Cu3N crystallites with anti-ReO3 structure and a slight oxidation of the resulted *** crystal structure and growth rate of Cu3N films were affected strongly by substrate temperature. The preferred crystalline orientation of Cu3N films were （111） and （200） at RT, 100℃. These peaks decayed at 200℃ and 300℃ only Cu （111） peak was noticed. Growth of Cu3N films at 100℃ is the optimum substrate temperature for producing high-quality （111） Cu3N films. The deposition rate of Cu3N films estimated to be in range of 18-30 nm/min increased while the resistivity and the microhardness of Cu3N films decreased when the temperature of glass substrate increased.

关键词： DC magnetron sputtering Copper nitride thin film Resistivity Microhardness

A novel 2D graphene oxide modified α-AgVO_(3) nanorods: Design, fabrication, and enhanced visible-light photocatalytic performance

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Journal of Advanced Ceramics 2022年第2期11卷 308-320页

作者： Jian WU liangyu li Xing-ao li Xin MIN Yan XING New Energy Technology Engineering Lab of Jiangsu Province School of ScienceNanjing University of Posts&Telecommunications(NUPT)Nanjing 210023China Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid Wastes National Laboratory of Mineral MaterialsSchool of Materials Science and TechnologyChina University of Geosciences(Beijing)Beijing 100083China

Silver vanadates are promising visible-light-responded photocatalysts with suitable bandgap for solar ***,the easy recombination of photogenerated carriers limits their *** overcome this obstacle,a novel 2D graphene oxide(GO)modifiedα-AgVO_(3) nanorods(GO/α-AgVO_(3) )photocatalyst was designed herein to improve the separation of *** GO/α-AgVO_(3) was fabricated through a facile in-situ coprecipitation method at room *** was found that the as-prepared 0.5 wt%GO/α-AgVO_(3) exhibited the most excellent performance for rhodamine B(RhB)decomposition,with an apparent reaction rate constant 18 times higher than that of pureα-AgVO_(3) under visible-light *** light of the first-principles calculations and the hetero junction analysis,the mechanism underpinned the enhanced photocatalytic performance was *** enhanced photocatalytic performance was ascribed to the appropriate bandgap ofα-AgVO_(3) nanorods for visible-light response and efficient separation of photocarriers through GO *** work demonstrates the feasibility of overcoming the easy recombination of photogenerated carriers and provides a valuable GO/α-AgVO_(3) photocatalyst for pollutant degradation.

关键词： α-AgVO_(3) graphene oxide modifiedα-AgVO_(3)nanorods(GO/α-AgVO_(3)) photocatalysis graphene oxide(GO)nanosheets in-situ coprecipitation processing