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Sprayed PAA-CaO_(2)nanoparticles combined with calcium ions and reactive oxygen species for antibacterial and wound healing

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Regenerative Biomaterials 2023年第1期10卷 1356-1371页

作者： Hong Yu Jiale Sun Kepeng She Mingqi Lv Yiqiao Zhang yawen xiao Yangkun Liu Changhao Han Xinyue Xu Shuqing Yang Guixue Wang Guangchao Zang Tissue and Cell Biology Lab Teaching&Management CenterChongqing Medical UniversityChongqing 400016China Chongqing University Central Hospital Chongqing Emergency Medical CenterChongqing 400030China Key Laboratory for Biorheological Science and Technology of Ministry of Education State and Local Joint Engineering Laboratory for Vascular ImplantsBioengineering College of Chongqing UniversityChongqing 400030China Jinfeng Laboratory Chongqing 401329China

The most common socioeconomic healthcare issues in clinical are burns,surgical incisions and other skin *** lesion healing can be achieved with nanomedicines and other drug application *** study developed a nano-spray based on cross-linked amorphous calcium peroxide(CaO_(2))nanoparticles of polyacrylic acid(PAA)for treating skin wounds(PAA-CaO_(2)nanoparticles).CaO_(2)serves as a‘drug’precursor,steadily and continuously releasing calcium ions(Ca^(2+))and hydrogen peroxide(H_(2)O_(2))under mildly acidic conditions,while PAA-CaO_(2)nanoparticles exhibited good spray behavior in aqueous *** demonstrated that PAA-CaO_(2)nanoparticles exhibited low cytotoxicity and allowed L929 cells proliferation and migration in *** effectiveness of PAA-CaO_(2)nanoparticles in promoting wound healing and inhibiting bacterial growth in vivo was assessed in SD rats using full-thickness skin defect and Staphylococcus aureus(***)-infected wound models based *** results revealed that PAA-CaO_(2)nanoparticles demonstrated significant advantages in both ***,the infected rats’skin defects healed in 12 *** benefits are linked to the functional role of Ca^(2+)coalesces with H_(2)O_(2)as known antibacterial and healing-promoted ***,we developed nanoscale PAA-CaO_(2)sprays to prevent bacterial development and heal skin lesions.

关键词： polyacrylic acid calcium peroxide nanomedicines antibacterial wound healing

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PIM1-HDAC2 axis modulates intestinal homeostasis through epigenetic modification

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3049-3067页

作者： Jianming Yang yawen xiao Ningning Zhao Geng Pei Yan Sun Xinyu Sun Kaiyuan Yu Chunhui Miao Ran Liu Junqiang Lv Hongyu Chu Lu Zhou Bangmao Wang Zhi Yao Quan Wang Key Laboratory of Immune Microenvironment and Disease(Ministry of Education) Tianjin Institute of ImmunologyState Key Laboratory of Experimental Hematologythe Province and Ministry Co-sponsored Collaborative Innovation Center for Medical EpigeneticsDepartment of ImmunologySchool of Basic Medical SciencesTianjin Institute of Urologythe Second Hospital of Tianjin Medical UniversityTianjin Key Laboratory of Cellular and Molecular ImmunologyTianjin Medical UniversityTianjin 300070China Department of Pathology Tianjin Medical University Cancer Institute and Hospital/National Clinical Research Center of Cancer/Key Laboratory of Cancer Prevention and TherapyTianjin/Tianjin’s Clinical Research Center of CancerTianjin 30060China Department of Gastroenterology and Hepatology Tianjin Medical University General HospitalTianjin Medical UniversityTianjin 300070China

The mucosal barrier is crucial for intestinal homeostasis,and goblet cells are essential for maintaining the mucosal barrier *** proviral integration site for Moloney murine leukemia virus-1(PIM1)kinase regulates multiple cellular functions,but its role in intestinal homeostasis during colitis is ***,we demonstrate that PIM1 is prominently elevated in the colonic epithelia of both ulcerative colitis patients and murine models,in the presence of intestinal *** PIM1 leads to decreased goblet cells,thus impairing resistance to colitis and colitis-associated colorectal cancer(CAC)in ***,PIM1 modulates goblet cell differentiation through the Wnt and Notch signaling ***,PIM1 interacts with histone deacetylase 2(HDAC2)and downregulates its level via phosphorylation,thereby altering the epigenetic profiles of Wnt signaling pathway ***,these findings investigate the unknown function of the PIM1-HDAC2 axis in goblet cell differentiation and ulcerative colitis/CAC pathogenesis,which points to the potential for PIM1-targeted therapies of ulcerative colitis and CAC.

关键词： PIM1 HDAC2 Goblet cell Gut microbiota Intestinal homeostasis Epigenetic modification Ulcerative colitis CAC

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Breast Cancer Diagnosis Using an Unsupervised Feature Extraction Algorithm Based on Deep Learning

Breast Cancer Diagnosis Using an Unsupervised Feature Extrac...

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第37届中国控制会议

作者： yawen xiao Jun Wu Zongli Lin xiaodong Zhao Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information Processing of Ministry of Education The Center for Bioinformatics and Computational Biology Shanghai Key Laboratory of Regulatory Biologythe Institute of Biomedical Sciences and School of Life SciencesEast China Normal University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia School of Biomedical Engineering Shanghai Jiao Tong University

Breast cancer is the most often detected cancer in women. At the same time, it is one of the most curable types of cancer if diagnosed early. With the development of the detection technology, a growing amount of clinical data and highdimensional features can be used for breast cancer diagnosis. The high-dimensional data contributes to advances in the diagnostic technology, but also incurs a large amount of computational redundancy. Thus, extracting important information and reducing the feature dimension is critical to effective prediction and an accurate treatment ***, the previous works for breast cancer diagnosis are mainly based on labeled data that is difficult to obtain. To address this issue, in this paper, we demonstrate a new scheme, which integrates a deep learning based unsupervised feature extraction algorithm, the stacked auto-encoders, with a support vector machine model（SAE-SVM）, for breast cancer diagnosis. The stacked auto-encoders with the greedy layerwise pre-training and an improved momentum update algorithm is applied to capture essential information and extract necessary features of the original data. Then, a support vector machine model is employed to classify the samples with new features into malignant or benign tumors. The proposed method was tested on the Wisconsin Diagnostic Breast Cancer data set. The performance is evaluated using various measures and compared with the previously published results. The comparison results show that the proposed SAE-SVM method improves the accuracy to 98.25% and outperforms the other methods. The deep learning based unsupervised feature extraction significantly improves the performance of classification and provides a promising approach to breast cancer diagnosis.

关键词： Deep learning auto-encoder feature extraction breast cancer diagnosis unlabeled data

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Gold-antimony Flotation Recognition Based on Lightweight Sparse Attention Depth Networks

Gold-antimony Flotation Recognition Based on Lightweight Spa...

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第43届中国控制会议

作者： Tian Li yawen xiao Peng Xie Xinyi Duan Yaoyi Cai College of Engineering and Design Hunan Normal University

In froth flotation, accurate, real-time identification of working conditions is highly important for industrial ***, the current manual observation methods used in froth flotation suffer from high subjectivity and errors. Therefore, a method for identifying gold-antimony flotation work conditions based on a lightweight sparse attention depth network is proposed. The proposed network is mainly composed of the transformer encoder module in VIT and the inverted residual block in MobilenetV2. This network combining the transformer and CNN can better preserve global and local features. The ECA module is also introduced to reduce the redundancy of information between channels. The experimental results show that the proposed algorithm has an average accuracy of 97.17% on the self-built dataset of gold antimony flotation images, which is significantly higher than that of classical convolutional neural networks such as AlexNet, VGG16, ResNet18, DenseNet,MobileNetV2, and EfficientNet;the number of parameters of the proposed algorithm is 5.485 M. In addition, the visualization of the results shows that the network is able to distinguish the gold-antimony flotation condition categories well. In summary,the network has few parameters and can provide an effective reference for identifying gold-antimony flotation conditions.

关键词： deep learning froth flotation transformer performance monitoring attention mechanism

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掠射技术与X射线荧光分析

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光谱学与光谱分析 1998年第5期18卷 609-613页

作者：刘亚雯肖辉中国科学院高能物理研究所

掠射技术引入Ｘ射线荧光分析成为一种新的材料及薄膜分析技术。运用此技术可以给出材料表面及薄膜的密度、厚度、界面粗糙度、成分的深度和剖面分布等各种信息。

关键词：掠射 X射线荧光分析 XRF IAD

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《新撰字镜》所引《切韵》下平声性质考

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温州职业技术学院学报 2021年第3期21卷 85-91页

作者：肖雅文上海大学上海201900

《新撰字镜》是日本平安时代的一本汉和字书,其所引《切韵》下平声的来源问题,学界存在不同的观点。本文从反切、韵次两个角度着手,对藤田拓海的观点提出质疑。通过反切上字的对比,发现《新撰字镜》所引《切韵》下平声与其他四声应当来... 详细信息

《新撰字镜》是日本平安时代的一本汉和字书,其所引《切韵》下平声的来源问题,学界存在不同的观点。本文从反切、韵次两个角度着手,对藤田拓海的观点提出质疑。通过反切上字的对比,发现《新撰字镜》所引《切韵》下平声与其他四声应当来自同一部韵书。

关键词：《新撰字镜》《切韵》下平声

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氧化苦参碱在db/db小鼠非酒精性脂肪性肝病中的抗炎机制

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免疫学杂志 2020年第6期36卷 497-503页

作者：肖雅文彭灿肖瑛梁丹张帆郭兵贵州医科大学病理生理学教研室贵州省常见慢性疾病发病机制及药物研究重点实验室贵阳550025

目的通过观察db/db小鼠非酒精性脂肪性肝病(NAFLD)中骨成形蛋白-激活素膜结合阻断因子(BAMBI)、NLRP3炎症小体的表达情况及氧化苦参碱(OMT)治疗后的变化,初步探讨OMT改善db/db小鼠NAFLD炎症反应的可能机制。方法db/db小鼠随机分成模型组... 详细信息

目的通过观察db/db小鼠非酒精性脂肪性肝病(NAFLD)中骨成形蛋白-激活素膜结合阻断因子(BAMBI)、NLRP3炎症小体的表达情况及氧化苦参碱(OMT)治疗后的变化,初步探讨OMT改善db/db小鼠NAFLD炎症反应的可能机制。方法db/db小鼠随机分成模型组和OMT给药组,OMT组给予60 mg/(kg·d)OMT腹腔注射,同期wt/wt小鼠为正常对照组,每组6只。油红O染色、HE染色和组织上清液ALT、AST检测评估NAFLD模型一般情况;免疫组化观察肝组织中BAMBI、NLRP3蛋白表达,qPCR观察肝组织中BAMBI、NLRP3 mRNA表达水平;Western blot观察肝组织中BAMBI、NLRP3炎症小体相关指标、Ⅳ型胶原(COLⅣ)、纤维连接蛋白(FN)蛋白水平变化;spearman秩相关分析对BAMBI和NLRP3进行相关性分析。结果NAFLD模型组HE染色、油红O染色及ALT、AST检测提示存在肝细胞损伤且肝脏有脂质积累。NAFLD模型组相比正常对照组,BAMBI表达量降低,NLRP3表达量增多,COLⅣ、FN表达量增多,OMT治疗后降低了肝脏脂质积累,小鼠肝组织中BAMBI表达量有增加,炎症及纤维化指标均有改善。统计学分析结果提示BAMBI和NLRP3呈显著负相关(P<0.05)。结论OMT可促进NAFLD肝组织中BAMBI表达水平增多,抑制炎症及纤维化反应,提示OMT可能通过影响BAMBI抑制db/db NAFLD小鼠的炎症及纤维化进程。

关键词：非酒精性脂肪性肝病氧化苦参碱 NOD样受体蛋白3 骨成形蛋白-激活素膜结合阻断因子

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基于微博签到的云南旅游客流时空分布

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地理空间信息 2024年第2期22卷 61-63页

作者：肖雅文上海师范大学环境与地理科学学院上海200234

基于新浪微博签到数据,应用时间分层法和核密度空间分析法,对云南旅游客流热点区域进行时空分布研究。研究结果表明,在时间分布上,云南省旅游景点年内客流呈现“一峰多岭”的分布特征,在不同时段表现出明显的“反季节性”、“相似性”... 详细信息

基于新浪微博签到数据,应用时间分层法和核密度空间分析法,对云南旅游客流热点区域进行时空分布研究。研究结果表明,在时间分布上,云南省旅游景点年内客流呈现“一峰多岭”的分布特征,在不同时段表现出明显的“反季节性”、“相似性”、“对称性”变化特征;季节客流则呈现出秋季>夏季>春季>冬季的变化趋势,其中7月和10月为旅游高峰月份;日内客流变化的最高峰和最低谷均出现在夜间时段。空间分布上,云南省旅游景点客流量总体上呈现出“多核多中心”,向高级旅游景区集聚的特征。

关键词：微博签到旅游景点客流时空分布云南省

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发作间期致痫灶呈3D伪连续式动脉自旋标记高灌注:140例报告

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中国医学影像技术 2023年第6期39卷 940-942页

作者：陈诗琪肖雅雯张照涛桂逸菲肖新兰南昌大学第二附属医院医学影像中心江西南昌330006

癫痫是多病因所致常见神经系统疾病,主要根据症状、脑电图及MRI表现进行诊断。3D伪连续式动脉自旋标记(3D pseudo-continuous arterial spin labeling,3D-pCASL)为MR灌注成像技术,可通过脑血流量(cerebral blood flow,CBF)而无创检出致... 详细信息

癫痫是多病因所致常见神经系统疾病,主要根据症状、脑电图及MRI表现进行诊断。3D伪连续式动脉自旋标记(3D pseudo-continuous arterial spin labeling,3D-pCASL)为MR灌注成像技术,可通过脑血流量(cerebral blood flow,CBF)而无创检出致痫灶,后者在发作期多呈高灌注、在发作间期呈低灌注^([1])。

关键词：癫痫动脉自旋标记磁共振成像

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基于空间正义的城市非正规公共空间更新策略

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山西建筑 2023年第22期49卷 1-5,11页

作者：肖雅文邱建西南交通大学四川成都610097

非正规公共空间是空间使用者违背原有空间功能,按照自我需求重新利用进行非正规活动的空间载体。城市的不断更新与再开发现象加剧了对低收入阶层生存空间的挤压,自发形成了城市非正规公共空间。非正规公共空间既是城市脏乱差的体现,又... 详细信息

非正规公共空间是空间使用者违背原有空间功能,按照自我需求重新利用进行非正规活动的空间载体。城市的不断更新与再开发现象加剧了对低收入阶层生存空间的挤压,自发形成了城市非正规公共空间。非正规公共空间既是城市脏乱差的体现,又是独特的场所记忆的汇集。因此城市非正规公共空间的更新成为城市更新的重点和难点。本研究以成都市马鞍北路社区为例,分析了该社区的非正规公共空间形态、类型、功能结构等,在空间正义视角下,提出了包容性、人本性、公平性等角度的更新治理策略,模糊正规公共空间与非正规公共空间的界限,实现空间资源的公正分配,满足人民诉求,再落实到空间更新上,形成对包容共生、公平共享、人本共建的空间更新策略。

关键词：空间正义非正规性公共空间城市更新

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