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糖尿病小鼠来源的骨髓间充质干细胞培养上清液诱发胰岛素抵抗的研究

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中国临床药理学杂志 2024年第14期40卷 2033-2037页

作者：李包娟周克春阿布都拉·米热合买提祖丽胡马·热合曼叶雨萌张之新疆医科大学药学院新疆维吾尔自治区乌鲁木齐830000 新疆天然药物活性组分与释药技术重点实验室新疆维吾尔自治区乌鲁木齐830000

目的探究糖尿病小鼠来源的骨髓间充质干细胞及其旁分泌作用在诱发胰岛素抵抗(IR)中扮演的角色。方法建立小鼠糖尿病模型,提取并培养骨髓间充质干细胞(BMSC),收集培养上清液(M-BMSC-CS)。(1)细胞实验:将HepG2肝细胞分为正常低糖培养组[... 详细信息

目的探究糖尿病小鼠来源的骨髓间充质干细胞及其旁分泌作用在诱发胰岛素抵抗(IR)中扮演的角色。方法建立小鼠糖尿病模型,提取并培养骨髓间充质干细胞(BMSC),收集培养上清液(M-BMSC-CS)。(1)细胞实验:将HepG2肝细胞分为正常低糖培养组[用低糖DMEM(5.55 mmol·L^(-1))进行培养]、M-BMSC-CS实验组(M-BMSC-CS 75μL)、高糖高脂对照组(给予25 mmol·L^(-1)高糖DMEM+0.25 mmol·L^(-1)棕榈酸)。(2)动物实验:小鼠分为正常小鼠组(腹腔注射等体积0.9%NaCl)和M-BMSC-CS-m组(M-BMSC-CS通过腹腔注射给予正常小鼠,注射剂量0.2 mL/10 g)。用葡萄糖氧化酶法检测葡萄糖摄取量,用免疫荧光法检测Glut2蛋白荧光强度,用蛋白质印迹法检测胰岛素信号通路蛋白表达;检测口服葡萄糖耐量(OGTT)和胰岛素耐量(ITT)。结果正常低糖培养组、M-BMSC-CS实验组和高糖高脂对照组的葡萄糖摄取量分别为(2.96±0.05)、(1.64±0.28)和(1.42±0.32)mmol·L^(-1),葡萄糖转运蛋白2(Glut2)荧光表达分别为53.21±2.70、30.95±3.39和34.96±7.60,磷酸化胰岛素受体底物1-ser307(p-IRS-1ser307)表达蛋白相对水平分别为0.46±0.21、1.09±0.24和0.91±0.16,磷酸化蛋白激酶(p-AKT)蛋白相对表达水平分别为0.94±0.05、0.59±0.06和0.53±0.05,Glut2蛋白表达水平分别为1.08±0.14、0.58±0.14和0.62±0.09;M-BMSC-CS实验组的上述指标与正常低糖培养组比较,在统计学上差异均有统计学意义(均P<0.05)。正常小鼠组和M-BMSC-CS-m组空腹血糖分别为(5.23±0.57)和(9.30±1.14)mmol·L^(-1),p-AKT蛋白相对表达水平分别为1.27±0.21和0.51±0.19,Glut2蛋白相对表达水平分别为1.17±0.17和0.79±0.09;M-BMSC-CS-m组的上述各指标与正常小鼠组比较,在统计学上差异均有统计学意义(均P<0.05)。结论糖尿病小鼠来源的BMSC培养上清液在体外引起正常HepG2肝细胞胰岛素抵抗,在体内诱发正常小鼠胰岛素抵抗。

关键词：糖尿病小鼠骨髓间充质干细胞培养上清液胰岛素抵抗 HepG2肝细胞正常小鼠

Experiment/simulation correlation-based methodology for metallic ballistic protection solutions

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Defence Technology（防务技术） 2023年第11期29卷 24-38页

作者： Yohan Cosquer Patrice Longère Olivier Pantalé Claude Gailhac DGA-Techniques Aéronautiques 31130BalmaFrance Institut Clement Ader Universite de ToulouseISAE-SUPAEROIMT Mines AlbiUPSINSACNRS3RueCarolineAigle31400ToulouseFrance Laboratoire Genie de Production INP/ENITUniversitéde Toulouse47Avenued’AzereixF-65016TarbesFrance CNIM Systemes Industriels 83500 La Seyne-sur-MerFrance

A methodology is developed based on the coupling of a finite element code with an optimisation module for the design of land vehicle armouring composed of lightweight aluminium alloy and high strength steel *** an experiment/simulation correlation,a numerical model has been built and calibrated considering monolithic plates and then verified considering a bi-metal protection against tungsten carbide projectile mimicking the core of a 7.62×51 AP8 *** addition,a method is proposed to obtain the v_(res)-v_(i) curve for the full 7.62×51 AP8 bullet from the v_(res)-v_(i) curve obtained from the core only.

关键词： Impact Terminal ballistics Ballistic limit MARS380 Aluminium alloy 7.62×51 AP8

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允许性高碳酸血症在临床中的应用进展

赣南医学院学报 2024年第4期44卷 404-408页

作者：王玲钟毅单热爱赣南医科大学第一临床医学院赣南医科大学第一附属医院麻醉手术中心赣州市麻醉学重点实验室赣南医科大学疼痛医学研究所江西赣州341000

允许性高碳酸血症在临床上已不仅局限于肺保护的应用,还具有多器官保护作用。本文就允许性高碳酸血症的多器官保护作用及机制进行综述,文献复习结果发现允许性高碳酸血症能够通过抗炎、抗氧化应激减少细胞凋亡、改善组织氧合,对肺、脑... 详细信息

允许性高碳酸血症在临床上已不仅局限于肺保护的应用,还具有多器官保护作用。本文就允许性高碳酸血症的多器官保护作用及机制进行综述,文献复习结果发现允许性高碳酸血症能够通过抗炎、抗氧化应激减少细胞凋亡、改善组织氧合,对肺、脑产生保护作用;此外还能通过改善线粒体结构、改善心肌缺血再灌注损伤等对脑、心脏具有保护作用,这些发现将为允许性高碳酸血症的后期研究及不同的临床应用提供参考。

关键词：允许性高碳酸血症多器官保护肺保护

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温通方联合局部病灶切除术治疗肉芽肿性小叶性乳腺炎阳虚痰凝证随机对照研究

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中国中西医结合杂志 2024年第6期44卷 665-669页

作者：郭洁荣热孜亚·萨吾尔孙霃平刘胜上海中医药大学附属龙华医院中西医结合乳腺科上海200032

目的观察温通方联合局部病灶切除术治疗肉芽肿性小叶性乳腺炎(GLM)阳虚痰凝证的临床疗效。方法本研究采用随机对照试验(RCT)方法,将80例阳虚痰凝证GLM患者随机分为治疗组和对照组,每组40例。治疗组采用温通方联合局部病灶切术治疗;对照... 详细信息

目的观察温通方联合局部病灶切除术治疗肉芽肿性小叶性乳腺炎(GLM)阳虚痰凝证的临床疗效。方法本研究采用随机对照试验(RCT)方法,将80例阳虚痰凝证GLM患者随机分为治疗组和对照组,每组40例。治疗组采用温通方联合局部病灶切术治疗;对照组采用单纯温通方中药治疗,观察2组患者临床疗效、愈后乳房外形评价及复发率情况。结果治疗组在治疗6个月时治愈率为40%(16/40),优于对照组[12.50%(5/40)],差异有统计学意义(χ^(2)=7.813,P0.05。治疗组平均总病程为(7.78±3.83)个月,优于对照组[(11.78±2.98)个月],差异有统计学意义(t=-5.215,P0.05)。治疗组术后6个月复发率为2.5%(1/40),与对照组[7.5%(3/40)]比较,差异无统计学意义(χ^(2)=0.263,P>0.05)。治疗组术后1年复发率为5%(2/40),优于对照组[20%(8/40)],差异有统计学意义(χ^(2)=4.114,P<0.05)。结论温通方联合局部病灶切除术治疗GLM阳虚痰凝证可明显缩短临床治疗病程,降低复发率。

关键词：温通方局部病灶切除术肉芽肿性小叶性乳腺炎阳虚痰凝证随机对照研究中西医结合

Soil ecosystem changes by vegetation on old-field sites over five decades in the Brazilian Atlantic forest

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Journal of Forestry research 2022年第2期33卷 667-677页

作者： Danielle Cristina Ortiz Tancredo Augusto Feitosa de Souza Tatiani Maria pech Marie Luise Carolina Bartz Dilmar Baretta Alexandre Siminski Júlia Carina Niemeyer Federal University of Santa Catarina Ulysses Gaboardikm 3CuritibanosSC 89520-000Brazil Postgraduate Programme in Agricultural and Natural Ecosystems(PPGEAN) Federal University of Santa CatarinaUlysses Gaboardikm 3CuritibanosSC 89520-000Brazil Centre for Functional Ecology Department of Life SciencesUniversity of Coimbra3000-456 CoimbraPortugal Department of Animal Science UDESC OesteSanta Catarina State UniversityChapecóSC 89815-630Brazil

Vegetation types alter soil ecosystems by changing soil fauna community activities and soil physi-cal-chemical ***,it is unclear how tree species(natural forest,native and exotic tree plantations)promote changes in the soil ecosystem,and if these changes alter functional groups of soil fauna and ecosystem *** determine the effects of five decades of old-field veg-etation on soil ecosystems in the Brazilian Atlantic Forest,field sampling of three ecosystems(exotic tree species Pinus elliottii ***,endangered tree species Arau-caria angustifolia(Bertol.)Kuntze plantation,and a natural ecosystem)were carried out,as well using bait-lamina tests and bioassays with collembolans,earthworms and seeds of Lactuca sativa *** sampling evaluated the soil fauna community and soil physical-chemical *** bait-lamina test in situ was carried out for 14-days to deter-mine fauna feeding activity,and the bioassays evaluated the reproduction of Folsomia candida,the avoidance of Eisenia andrei,and germination of *** in the soil from each *** results are:(1)vegetation type altered the soil fauna community composition;(2)soil fauna feeding was reduced in the plantations compared to the natural eco-system;(3)a physical barrier was created by recalcitrant litter that compromised fauna community structure and seed bank germination in situ;and,(4)changes in soil physical-chemical properties promoted decomposers.

关键词： Endangered tree species Exotic tree species Forest ecosystem Soil fauna functional groups Soil invertebrates

Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images

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npj Computational Materials 2022年第1期8卷 255-265页

作者： Zeliang Su Etienne Decencière Tuan-Tu Nguyen Kaoutar El-Amiry Vincent De Andrade Alejandro A.Franco Arnaud Demortière Laboratoire de Réactivitéet Chimie des Solides(LRCS) CNRS UMR 7314Universitéde Picardie Jules VerneHub de l’EnergieRue Baudelocque80039Amiens CedexFrance Réseau sur le Stockage Electrochimique de l’Energie(RS2E) CNRS FR 3459Hub de l’EnergieRue Baudelocque80039Amiens CedexFrance MINES ParisTech–PSL research University CMMCenter for Mathematical Morphology35 rue Saint HonoréFontainebleauFrance renault Technocentre 78084GuyancourtFrance Advanced Photon Source Argonne National LaboratoryLemontUSA Institut Universitaire de France 101 Boulevard Saint Michel75005ParisFrance ALISTOre-European research Institute CNRS FR 3104Hub de l’EnergieRue Baudelocque80039Amiens CedexFrance

The segmentation of tomographic images of the battery electrode is a crucial processing step,which will have an additional impact on the results of material characterization and electrochemical ***,manually labeling X-ray CT images(XCT)is time-consuming,and these XCT images are generally difficult to segment with histographical *** propose a deep learning approach with an asymmetrical depth encode-decoder convolutional neural network(CNN)for real-world battery material *** network achieves high accuracy while requiring small amounts of labeled data and predicts a volume of billions voxel within few *** applying supervised machine learning for segmenting real-world data,the ground truth is often *** results of segmentation are usually qualitatively justified by visual *** try to unravel this fuzzy definition of segmentation quality by identifying the uncertainty due to the human bias diluted in the training *** CNN trainings using synthetic data show quantitative impact of such uncertainty on the determination of material’s ***-XCT datasets of various battery materials have been successfully segmented by training this neural network from *** will also show that applying the transfer learning,which consists of reusing a well-trained network,can improve the accuracy of a similar dataset.

关键词： neural network battery

Effect of inductively coupled plasma surface treatment on silica gel and mesoporous MCM-41 particles

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Plasma Science and Technology 2018年第6期20卷 104-113页

作者： J A JUAreZ-MOreNO U CHACON-ARGAEZ J BARRON-ZAMBRANO C CARreRA-FIGUEIRAS P QUINTANA-OWEN W TALAVERA-pech Y PEreZ-PADILLA A AVILA-ORTEGA facultad de ingeniería química-uady periférico norte kilómetro 33.5col.chuburna de hidalgo inn C.P. 97203 Mérida Yucatan México centro de investigación y de estudios avanzados del ipn-unidad mérida km.6 antigua carretera a progreso apdo. Postal 73 Cordemex 97310 Méfida Yucatán México

Silica gel and MCM-41 synthesized mesoporous materials were treated with either oxygen（O_2）,hexamethyldisiloxane（HMDSO） and organic vapors like ethanol（Et OH）,and acrylonitrile（AN）inductive *** radiofrequency power for the modification was fixed to 120 W and30 min,assuring a high degree of organic ionization energy in the *** surface properties were studied by infrared spectroscopy（FTIR）,scanning electron microscopy,x-ray photoelectron spectroscopy and dynamic light scattering technique was used for characterizing size *** the silica and MCM-41 particles were modified by AN and HMDSO plasma gases,the surface morphology of the particles was changed,presenting another color,size or *** contrast,the treatments of oxygen and Et OH did not affect the surface morphology of both particles,but increased the oxygen content at the surface bigger than the AN and HMDSO plasma *** this study,we investigated the influence of different plasma treatments on changes in morphology and the chemical composition of the modified particles which render them a possible new adsorbent for utilization in sorptive extraction techniques for polar compounds.

关键词： silica MCM-41 nanoparticles plasma treatment

refining Linked Data with Games with a Purpose

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Data Intelligence 2020年第3期2卷 417-442页

作者： Irene Celino Gloria re Calegari Andrea Fiano Cefriel Milano 20126Italy

With the rise of linked data and knowledge graphs,the need becomes compelling to find suitable solutions to increase the coverage and correctness of data sets,to add missing knowledge and to identify and remove *** approaches-mostly relying on machine learning and natural language processing techniques-have been proposed to address this refinement goal;they usually need a partial gold standard,i.e.,some“ground truth”to train automatic *** standards are manually constructed,either by involving domain experts or by adopting crowdsourcing and human computation *** this paper,we present an open source software framework to build Games with a Purpose for linked data refinement,i.e.,Web applications to crowdsource partial ground truth,by motivating user participation through fun *** detail the impact of this new resource by explaining the specific data linking“purposes”supported by the framework(creation,ranking and validation of links)and by defining the respective crowdsourcing tasks to achieve those *** also introduce our approach for incremental truth inference over the contributions provided by players of Games with a Purpose(also abbreviated as GWAP):we motivate the need for such a method with the specificity of GWAP *** crowdsourcing;we explain and formalize the proposed process,explain its positive consequences and illustrate the results of an experimental comparison with state-of-the-art *** show this resource’s versatility,we describe a set of diverse applications that we built on top of it;to demonstrate its reusability and extensibility potential,we provide references to detailed documentation,including an entire tutorial which in a few hours guides new adopters to customize and adapt the framework to a new use case.

关键词： Human computation Games with a purpose Linked data Knowledge graph Data refinement Data linking Truth inference

Bionic surface design of cemented carbide drill bit

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Science China(Technological Sciences) 2016年第1期59卷 175-182页

作者： YANG XiaoFeng XIA re ZHOU HongWei GUO Lu ZHANG LiJun School of Mechanics and Civil Engineering China University of Mining and Technology(Beijing)Beijing 100083China Suzhou Institute of Wuhan University Suzhou 215123China School of Power and Mechanical Engineering Wuhan UniversityWuhan 430072China State Key Laboratory of Shield Machine and Boring Technology Zhengzhou 450001China

The development of a high-performance cemented carbide drill bit is of great significance to the reduction of rock drilling-cost. The non-smooth features of a biological surface provide an insight into how they can obtain low friction and good wear resistance with evolving surface morphology. By analyzing the mechanism of the surface of a dung beetle for reducing soil wear and adherence, we design a cemented carbide drill bit with a bionic surface, which is expected to have superior anti-wearing and anti-sticking properties for drilling the soft coal seam. Inspired from the characteristics of the head and pronotum surface of the dung beetle, optimized non-smooth surface of the drill bit was constructed. The working performance of this innovative drill was experimentally tested. With comparative experiments under the identical drilling conditions, the wear rates, drilling times of conventional drills and bionic drills were measured. Compared with the conventional counterpart, the drill designed exhibits better performance in reducing wear and sticking drilling-breaks, therefore achieving higher levels of efficiency. The diameter of the dome and pit on the bit surface is in the range of 0.8–1.2 mm, and the bionic drill bits could get better performance with preferable drilling speeds and wear rates.

关键词： cemented carbide drill bit surface bionic design dung beetle friction