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Chinese Chemical Letters 2023年第11期34卷 275-279页

作者： Yanan Chen Jiao Lei yanling zhai Zhijun Zhu Weitai Wu Xiaoquan Lu Institute of Molecular Metrology College of Chemistry and Chemical EngineeringQingdao UniversityQingdao 266071China Institute of Hybrid Materials National Center of International Research for Hybrid Materials TechnologyNational Base of International Science&Technology CooperationCollege of Materials Science and EngineeringQingdao UniversityQingdao 266071China State Key Laboratory of Physical Chemistry of Solid Surfaces Xiamen UniversityXiamen 361005China

Electrochromic devices(ECDs)have exhibited promising applications in the fields of energy-saving intelligent buildings and next-generation displays because of their simple structure,low power consumption,and multicolor displays.W_(18)O_(49)/polyaniline(PANI)hybrid films are prepared and assembled to ECDs.Compared with pure PANI and W_(18)O_(49) films,the hybrid film exhibits superior electrochemical and electrochromic performance,including high optical modulation(70.2%),large areal capacity(79.6 mF/cm^(2)),and good capacitance retention.The excellent electrochemical and electrochromic performance is ascribed to the formation of the donor(PANI)-acceptor(W_(18)O_(49))pair,the porous structure in the nanowires,and the large surface area,which enhance electron delocalization of the W_(18)O_(49)/PANI,improve the ion diffusion rate,and increase the charge storage sites.Furthermore,benefitting from the outstanding optical,electrical,and multifunctional properties,the W_(18)O_(49)/PANI hybrid film-based ECD platform is expected to play an important role in electrochromism and energy storage.

关键词： W_(18)O_(49)/PANI Electrochromism Multifunctional devices Multicolor Energy storage

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基于预训练模型与标签融合的文本分类

计算机应用 2024年第3期44卷 709-714页

作者：余杭周艳玲翟梦鑫刘涵湖北大学计算机与信息工程学院武汉430062 深圳大学计算机科学与软件学院广东深圳518060

对海量的用户文本评论数据进行准确分类具有重要的经济效益和社会效益。目前大部分文本分类方法是将文本编码直接使用于各式的分类器之前,而忽略了标签文本中蕴含的提示信息。针对以上问题,提出一种基于RoBERTa(Robustly optimized BERT... 详细信息

对海量的用户文本评论数据进行准确分类具有重要的经济效益和社会效益。目前大部分文本分类方法是将文本编码直接使用于各式的分类器之前,而忽略了标签文本中蕴含的提示信息。针对以上问题,提出一种基于RoBERTa(Robustly optimized BERT pretraining approach)的文本和标签信息融合分类模型(TLIFC-RoBERTa)。首先,利用RoBERTa预训练模型获得词向量;然后,利用孪生网络结构分别训练文本和标签向量,通过交互注意力将标签信息映射到文本上,达到将标签信息融入模型的效果;最后,设置自适应融合层将文本表示与标签表示紧密融合进行分类。在今日头条和THUCNews数据集上的实验结果表明,相较于将Labelatt(Label-based attention improved model)中使用的静态词向量改为RoBERTa-wwm训练后的词向量算法(RA-Labelatt)、RoBERTa结合基于标签嵌入的多尺度卷积初始化文本分类算法(LEMC-RoBERTa)等主流深度学习模型,TLIFC-RoBERTa的精度最高,对于用户评论数据集有最优的分类效果。

关键词：文本分类预训练模型交互注意力标签嵌入 RoBERTa

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食品中益生元的研发和应用研究进展

食品科学技术学报 2024年第2期42卷 10-18页

作者：翟征远白晓悦靖一志赵亮任发政郝彦玲中国农业大学食品科学与营养工程学院北京100083 中国农业大学营养与健康系北京100193 中原食品实验室河南漯河462300

益生元的定义目前被更新为“能被宿主微生物选择性利用并产生健康益处的底物”。根据最新的定义,益生元种类扩展到碳水化合物以外的物质,例如共轭亚油酸和植物多酚等;益生元作用部位不再局限于胃肠道,应用范围也不局限于食品。针对益生... 详细信息

益生元的定义目前被更新为“能被宿主微生物选择性利用并产生健康益处的底物”。根据最新的定义,益生元种类扩展到碳水化合物以外的物质,例如共轭亚油酸和植物多酚等;益生元作用部位不再局限于胃肠道,应用范围也不局限于食品。针对益生元具有缓解便秘、促进骨骼健康、缓解肥胖、抑制致病菌、减少炎症、免疫调节等多种健康促进效应,深入阐述了益生元促进宿主健康的作用机制。其机制主要体现为两个方面,一是益生元被宿主的有益微生物直接或间接性利用,从而起到菌群调节作用;二是益生元被菌群代谢后产生有益于宿主健康的代谢产物。此外,某些低聚糖类和多糖类的益生元还具有很好的加工特性,对于食品的质构特性和风味有积极的作用。因此,益生元在固体饮料、糖果、乳制品和烘焙制品等食品中广泛应用。然而,益生元的功效评价及应用中,仍存在一些问题亟待解决。不同生理状态下人体的肠道菌群是不同的,菌群结构的差异必然导致同种益生元在不同人群中利用情况的差异。益生元的单糖结构、聚合程度、分支以及官能团等结构差异会影响其被肠道微生物的利用。总之,针对不同人群的生理状态靶向应用益生元和对益生元进行特定结构的优化或修饰,将是未来益生元精准化应用的关键。

关键词：益生元肠道健康菌群调节短链脂肪酸健康效应

Fe-N-C单原子纳米酶用于比色-电化学法检测H_(2)O_(2)

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聊城大学学报（自然科学版） 2024年第2期37卷 62-68页

作者：胡丽君李佳慧翟艳玲青岛大学化学化工学院山东青岛266071

具有类酶活性的纳米材料,即纳米酶,已经引起生物催化领域的广泛关注。以原子分散的Fe-N-C单原子催化剂,定义为Fe-N-C单原子纳米酶,具有与某些血红素酶相似的结构,因此具有模拟酶活性。采用二氧化硅模板法制备了Fe-N-C单原子纳米酶,分层... 详细信息

具有类酶活性的纳米材料,即纳米酶,已经引起生物催化领域的广泛关注。以原子分散的Fe-N-C单原子催化剂,定义为Fe-N-C单原子纳米酶,具有与某些血红素酶相似的结构,因此具有模拟酶活性。采用二氧化硅模板法制备了Fe-N-C单原子纳米酶,分层多孔纳米结构加速了电子转移,进一步提高了反应动力学。由于其固有的理化性质,表现出高的过氧化物酶性能。此外,Fe-N-C纳米酶在较高温度和强酸强碱条件下仍保持较高活性,表明其具有良好的稳定性。以该Fe-N-C纳米酶构建了过氧化氢(H_(2)O_(2))比色传感器,其线性范围为0.05~100 mmol/L、检测限为0.039 mmol/L。此外,该Fe-N-C纳米酶还可应用于电化学检测H_(2)O_(2)。该基于Fe-N-C的H_(2)O_(2)比色体系在临床医学和食品环境分析中具有广阔的应用前景。

关键词： Fe-N-C 单原子纳米酶过氧化氢比色检测电化学检测

益肝胶囊对药物性肝损伤大鼠HMGB1、RAGE和NF⁃κB蛋白表达的影响

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海南医学院学报 2024年第4期30卷 248-254页

作者：唐娅李君齐雅芝曹睿翟燕玲韩玉生徐强黑龙江中医药大学黑龙江哈尔滨150040 黑龙江中医药大学佳木斯学院黑龙江佳木斯154007

目的:研究益肝胶囊对抗结核药物性肝损伤(ATB‐DILI)中高迁移率族蛋白B1(HMGB1)、核因子‐κB(NF‐κB)和晚期糖基化终末产物受体(RAGE)蛋白表达的影响,探讨其对ATB‐DILI的保护作用和机制,为益肝胶囊的临床应用提供实验依据。方法:将2... 详细信息

目的:研究益肝胶囊对抗结核药物性肝损伤(ATB‐DILI)中高迁移率族蛋白B1(HMGB1)、核因子‐κB(NF‐κB)和晚期糖基化终末产物受体(RAGE)蛋白表达的影响,探讨其对ATB‐DILI的保护作用和机制,为益肝胶囊的临床应用提供实验依据。方法:将24只大鼠分为两组,除空白组(n=6)灌胃0.9%氯化钠溶液外,其余18只给予异烟肼(INH)+利福平(RFP)(各50 mg⋅kg^(‐1)⋅d^(‐1))连续灌胃4周。然后将18只按每组6只随机分为3组(模型组、益肝胶囊低剂量组、益肝胶囊高剂量组),空白组与模型组继续灌胃0.9%氯化钠溶液,益肝胶囊低剂量组0.468 g/kg,益肝胶囊高剂量组1.872 g/kg[1]进行灌胃给药。4周后,HE染色观察肝的病理变化;检测ALT、AST、ALP、γ‐GT、TBIL的含量;IHC检测HMGB1、NF‐κBp65、RAGE蛋白的表达;WB检测HMGB1、NF‐κBp65、RAGE、TNF‐α和IL‐1β的表达水平。结果:HE染色显示,模型组肝的结构排列较紊乱、肝细胞出现肿胀融合、炎性细胞数量增多并伴有点状坏死,而益肝胶囊各治疗组的上述病理变化有明显的改善;模型组ALT、AST、ALP、γ‐GT、TBIL含量较空白组上升(P<0.05);益肝胶囊各治疗组ALT、AST、ALP、γ‐GT、TBIL含量较模型组显著降低(P<0.05);与空白组比较模型组TNF‐α和IL‐1β的表达水平升高(P<0.05),HMGB1、NF‐κBp65、RAGE的表达增加(P<0.05);与模型组比较益肝胶囊各治疗组TNF‐α和IL‐1β的表达水平降低(P<0.05),HMGB1、NF‐κBp65、RAGE的表达下降(P<0.05)。结论:益肝胶囊可能通过HMGB1/RAGE/NF‐κBp65信号通路,抑制炎性因子的分泌,从而对ATB‐DILI起到保护作用。

关键词：益肝胶囊抗结核药物性肝损伤 HMGB1 RAGE NF‐κB

基于最小数据集的植烟土壤质量评价及障碍因子诊断

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烟草科技 2024年第2期57卷 45-53页

作者：张恒张艳玲许亚东冯文强江鸿戴华鑫翟振冯长春梁太波中国烟草总公司郑州烟草研究院郑州450001 郑州大学农学院郑州市450066 四川省烟草科学研究所成都市610041

为准确评价四川烟区植烟土壤质量,采集四川省烟田土壤样品,通过构建最小数据集计算土壤质量指数,并使用障碍因子诊断模型明确主要障碍因子。结果表明:(1)根据相关分析、主成分分析和Norm值计算结果,筛选碱解氮、pH值、氯离子、酸性磷酸... 详细信息

为准确评价四川烟区植烟土壤质量,采集四川省烟田土壤样品,通过构建最小数据集计算土壤质量指数,并使用障碍因子诊断模型明确主要障碍因子。结果表明:(1)根据相关分析、主成分分析和Norm值计算结果,筛选碱解氮、pH值、氯离子、酸性磷酸酶、速效钾、容重、有效铁和脲酶8项评价指标进入最小数据集。(2)根据总数据集计算的土壤质量指数(总数据集土壤质量指数,SQI_(TDS))与根据最小数据集计算的土壤质量指数呈极显著(P<0.01)正相关;随机森林分类算法计算结果表明,最小数据集评价指标可对根据SQI_(TDS)划分的土壤质量档次进行分类,分类准确率为97.3%,说明该最小数据集可代替总数据集对植烟土壤质量进行评价。(3)四川省各县(市、区)的植烟土壤质量指数平均值分布在45.76~65.36之间,除喜德县和普格县外,其他植烟县(区、市)的土壤质量指数平均值均大于50.00;四川省植烟土壤质量提升的主要障碍因子为总孔隙度、容重、水溶态钙、水溶态镁和有效铁。

关键词：植烟土壤土壤质量主成分分析最小数据集障碍因子

基于高光谱成像的区域尺度植烟土壤有机质含量和pH值估测

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烟草科技 2024年第5期57卷 48-57,63页

作者：张恒梁太波江鸿藏照阳戴华鑫翟振张艳玲冯长春中国烟草总公司郑州烟草研究院郑州450001 四川省烟草科学研究所成都市610041

为实现区域尺度上的植烟土壤有机质含量(质量分数)和pH值的准确、快速估测,以四川省烟区296份植烟土壤样品为研究对象,利用高光谱成像构建土壤有机质含量和pH值的偏最小二乘回归(PLSR)估测模型。结果表明:①原始光谱经多数单一预处理和... 详细信息

为实现区域尺度上的植烟土壤有机质含量(质量分数)和pH值的准确、快速估测,以四川省烟区296份植烟土壤样品为研究对象,利用高光谱成像构建土壤有机质含量和pH值的偏最小二乘回归(PLSR)估测模型。结果表明:①原始光谱经多数单一预处理和组合预处理方法处理后,建立的估测模型精度有所提高。②不同预处理方法和特征波段筛选方法建立的PLSR模型精度差异明显;基于Savitzky-Golay平滑滤波(SG)和最大最小归一化(MMS)组合预处理方法,采用相关分析(CA)筛选极显著特征波段建立的土壤有机质含量估测模型精度最佳,模型验证集决定系数(R2)为0.758,相对分析误差(RPD)为2.03;基于一阶导数(D1)和多元散射校正(MSC)组合预处理方法,使用主成分分析(PCA)筛选特征波段建立的土壤pH值估测模型精度最佳,模型验证集R2、验证均方根误差(RMSEV)和RPD分别为0.724、0.59和1.90。因此,运用高光谱成像技术在区域尺度上对植烟土壤有机质含量和pH值进行较高精度估测是可行的,有机质含量估测可采用SG-MMS-CA(P<0.01)-PLSR模型,pH值估测可采用D1-MSC-PCA-PLSR模型。

关键词：植烟土壤高光谱成像 pH值有机质组合预处理偏最小二乘回归

Sound speed profiles in high spatiotemporal resolution using multigrid three-dimensional variational method:a coastal experiment off northern Shandong Peninsula

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Journal of Oceanology and Limnology 2023年第1期41卷 57-71页

作者： Guangchao HOU Jingsheng zhai Qi SHAO yanling ZHAO Wei LI Guijun HAN Kangzhuang LIANG School of Marine Science and Technology Tianjin UniversityTianjin 300072China Tianjin Key Laboratory for Oceanic Meteorology Tianjin 300074China The PLA 31010 Units Beijing 100081China

It is essential to ac quire sound speed profiles(SSPs)in high-precision spatiotemporal resolution for undersea acoustic activities.However,conventional observation methods cannot obtain high-resolution SSPs.Besides,S SPs are complex and changeable in time and space,especially in coastal areas.We proposed a new space-time multigrid three-dimensional variational method with weak constraint term(referred to as STC-MG3DVar)to construct high-precision spatiotemporal resolution SSPs in coastal areas,in which sound velocity is defined as the analytical variable,and the Chen-Millero sound velocity empirical formula is introduced as a weak constraint term into the cost function of the STC-MG3DVar.The spatiotemporal correlation of sound velocity observations is taken into account in the STC-MG3DVar method,and the multi-scale information of sound velocity observations from long waves to short waves can be successively extracted.The weak constraint term can optimize sound velocity by the physical relationship between sound velocity and temperature-salinity to obtain more reasonable and accurate SSPs.To verify the accuracy of the STC-MG3DVar,SSPs observations and CTD observations(temperature observations,salinity observations)are obtained from field experiments in the northern coastal area of the Shandong Peninsula.The average root mean square error(RMSE)of the STC-MG3DVar-constructed SSPs is 0.132 m/s,and the STC-MG3DVar method can improve the SSPs construction accuracy over the space-time multigrid 3DVar without weak constraint term(ST-MG3DVar)by 10.14%and over the spatial multigrid 3DVar with weak constraint term(SC-MG3DVar)by 44.19%.With the advantage of the constraint term and the spatiotemporal correlation information,the proposed STC-MG3DVar method works better than the ST-MG3DVar and the SCMG3DVar in constructing high-precision spatiotemporal re solution SSPs.

关键词： space-time multigrid 3DVar sound speed profiles temperature salinity spatiotemporal correlation multiscale

3D printing of conch-like scaffolds for guiding cell migration and directional bone growth

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生物活性材料(英文) 2023年第4期22卷 127-140页

作者： Boshi Feng Meng Zhang Chen Qin Dong zhai Yufeng Wang yanling Zhou Jiang Chang Yufang Zhu Chengtie Wu State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of Ceramics Chinese Academy of SciencesShanghai200050People’s Republic of China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100049People’s Republic of China

Regeneration of severe bone defects remains an enormous challenge in clinic.Developing regenerative scaffolds to directionally guide bone growth is a potential strategy to overcome this hurdle.Conch,an interesting creature widely spreading in ocean,has tough spiral shell that can continuously grow along the spiral direction.Herein,inspired by the physiological features of conches,a conch-like(CL)scaffold based onβ-TCP bioceramic material was successfully prepared for guiding directional bone growth via digital light processing(DLP)-based 3D printing.Benefiting from the spiral structure,the CL scaffolds significantly improved cell adhesion,proliferation and osteogenic differentiation in vitro compared to the conventional 3D scaffolds.Particularly,the spiral structure in the scaffolds could efficiently induce cells to migrate from the bottom to the top of the scaffolds,which was like“cells climbing stairs”.Furthermore,the capability of guiding directional bone growth for the CL scaffolds was demonstrated by a special half-embedded femoral defects model in rabbits.The new bone tissue could consecutively grow into the protruded part of the scaffolds along the spiral cavities.This work provides a promising strategy to construct biomimetic biomaterials for guiding directional bone tissue growth,which offers a new treatment concept for severe bone defects,and even limb regeneration.

关键词： 3D printing Spiral structure Conch-like scaffolds Cell migration Tissue regeneration Severe bone defects

Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai

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Intelligent Medicine 2023年第1期3卷 16-21页

作者： Yu Shi Jin Fu Mei Zeng yanling Ge Xiangshi Wang Aimei Xia Weijie Shen Jiali Wang Weiming Chen Siyuan Jiang Xiaowen zhai Department of Medical Affairs Children’s Medical Center Children’s Hospital of Fudan UniversityShanghai 201102China Department of Infectious Diseases Children’s Medical Center Children’s Hospital of Fudan UniversityShanghai 201102China Department of Critical Care Medicine Children’s Medical Center Children’s Hospital of Fudan UniversityShanghai 201102China Outpatient and Emergency Management Office Children’s Medical Center Children’s Hospital of Fudan UniversityShanghai 201102China Department of Neonatology Children’s Medical Center Children’s Hospital of Fudan UniversityShanghai 201102China Department of Hematology Children’s Medical Center Children’s Hospital of Fudan UniversityShanghai 201102China

Objective:To describe the information technology and artificial intelligence support in management experiences of the pediatric designated hospital in the wave of COVID-19 in Shanghai.Methods:We retrospectively concluded the management experiences at the largest pediatric designated hospital from March 1st to May 11th in 2022 in Shanghai.We summarized the application of Internet hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward and the structed electronic medical record in the inpatient system.We illustrated the role of the information system through the number and prognosis of patients treated.Results:The COVID-19 designated hospitals were built particularly for critical patients requiring high-level medical care,responded quickly and scientifically to prevent and control the epidemic situation.From March 1st to May 11th,2022,we received and treated 768 children confirmed by positive RT-PCR and treated at our center.In our management,we use Internet Information on the Internet Hospital,face recognition technology in outpatient department,critical illness warning system and remote consultation system in the ward,structed electronic medical record in the inpatient system.No deaths or nosocomial infections occurred.The number of offline outpatient visits dropped,from March to May 2022,146,106,48,379,57,686 respectively.But the outpatient volume on the internet hospital increased significantly(3,347 in March 2022 vs.372 in March 2021;4,465 in April 2022 vs.409 in April 2021;4,677 in May 2022 vs.538 in May 2021).Conclusions:Information technology and artificial intelligence has provided significant supports in the management.The system might optimize the admission screening process,increases the communication inside and outside the ward,achieves early detection and diagnosis,timely isolates patients,and timely treatment of various types of children.

关键词： Coronavirus disease2019 Information technology Artificial intelligence Closed-loop management Pediatric designated hospital