用于激光照明的荧光粉@SiO_(2)气凝胶复合发光材料的制备与发光性能研究

通过溶胶-凝胶法成功制备了Tb_(3)Al_(5)O_(12)(TAG)荧光粉。热分析数据证实,增加H_(3)BO_(3)摩尔比会导致最终相的转变温度降低。同时,通过扫描电镜观察到,H_(3)BO_(3)摩尔比的提高会导致荧光粉颗粒尺寸增大。在激发波长为275 nm的条件下,发射光谱在480~650 nm范围内出现了由Tb^(3+)的5d→4f跃迁产生的多个发射峰。然后通过物理掺杂和超临界干燥工艺成功制备了荧光粉@SiO_(2)气凝胶复合发光材料。与荧光粉相比,荧光粉@SiO_(2)气凝胶复合发光材料的内量子产率显著增加,可达63.64%。采用波长为355 nm的激光源激发荧光粉@SiO_(2)气凝胶复合发光材料,可实现长距离无导线方式发光,并具有良好均匀性。以上结果证明了荧光粉@SiO_(2)气凝胶复合发光材料在激光应急照明领域具有潜在的应用前景。

月桂酸甘油二酯和豆蔻酸甘油二酯的固定化脂肪酶R IM-03催化合成及纯化

为促进固定化脂肪酶R IM-03在合成甘油二酯(DAG)中的应用,采用固定化脂肪酶RIM-03催化月桂酸/豆蔻酸和甘油酯化合成甘油二酯,并采用分子蒸馏对其进行纯化。对酯化反应和分子蒸馏的工艺条件进行了优化,并考察了纯化产物的理化性质。结果表明:固定化脂肪酶R IM-03催化甘油和月桂酸/豆蔻酸合成甘油二酯的最优条件为底物(脂肪酸与甘油)物质的量比2∶1、反应温度60℃、反应时间6h、酶添加量6%(以底物质量计),在此条件下月桂酸甘油二酯和豆蔻酸甘油二酯粗产物中甘油二酯含量分别为43.87%和30.00%,甘油三酯(TAG)含量分别为8.71%和6.87%,催化剂可重复利用至少10次;月桂酸甘油二酯粗产物纯化的最优条件为一级分子蒸馏温度170℃、二级分子蒸馏温度180℃,豆蔻酸甘油二酯粗产物纯化的最优条件为一级分子蒸馏温度170℃、二级分子蒸馏温度190℃,在最优条件下纯化月桂酸甘油二酯和豆蔻酸甘油二酯中甘油二酯含量分别达81.29%和80.08%,1,3-甘油二酯含量分别为53.16%和54.27%,DAG/(DAG+TAG)约为80%;纯化月桂酸甘油二酯和豆蔻酸甘油二酯的滑动熔点分别为48.9℃和57.0℃,在30~40℃区间的固体脂肪含量呈陡然下降趋势,在两者复配的体系中,当豆蔻酸甘油二酯占60%以上时,相容性理想。综上,固定化脂肪酶RIM-03具有在甘油二酯合成中应用的潜力,DAG/(DAG+TAG)可作为关键控制指标,异酸甘油二酯复配可改变产物的熔化性质。

结合ASM及特征融合策略的Tagged MR左心室分割

提出了一种基于ASM框架的Tagged MR图像左心室分割方法。即从基于典型相关分析的特征融合角度对LM滤波器组提取的Tagged MR图像左心室纹理特征用典型相关分析进行优化组合,再用SVM构造分类器,通过分类器来确定边缘点,驱动ASM模型边界变形得到分割结果。通过典型相关分析的特征融合可以降低分类错误率,提高分类性能;用分类器代替经典ASM模型的基于轮廓灰度的匹配法来确定边缘点具有较强的鲁棒性。该方法在不同时刻不同断层Tagged MR图像上进行了验证,实验结果表明该方法具有较高的准确度和较强的鲁棒性。

Serum proteins differentially expressed in gestational diabetes mellitus assessed using isobaric tag for relative and absolute quantitation proteomics

BACKGROUND As a well-known fact to the public,gestational diabetes mellitus(GDM)could bring serious risks for both pregnant women and infants.During this important investigation into the linkage between GDM patients and their altered expression in the serum,proteomics techniques were deployed to detect the differentially expressed proteins(DEPs)of in the serum of GDM patients to further explore its pathogenesis,and find out possible biomarkers to forecast GDM occurrence.METHODS Subjects were divided into GDM and normal control groups according to the IADPSG diagnostic criteria.Serum samples were randomly selected from four cases in each group at 24-28 wk of gestation,and the blood samples were identified by applying iTRAQ technology combined with liquid chromatography-tandem mass spectrometry.Key proteins and signaling pathways associated with GDM were identified by bioinformatics analysis,and the expression of key proteins in serum from 12 wk to 16 wk of gestation was further verified using enzyme-linked immunosorbent assay (ELISA).RESULTS Forty-seven proteins were significantly differentially expressed by analyzing the serum samples between the GDMgravidas as well as the healthy ones. Among them, 31 proteins were found to be upregulated notably and the rest16 proteins were downregulated remarkably. Bioinformatic data report revealed abnormal expression of proteinsassociated with lipid metabolism, coagulation cascade activation, complement system and inflammatory responsein the GDM group. ELISA results showed that the contents of RBP4, as well as ANGPTL8, increased in the serumof GDM gravidas compared with the healthy ones, and this change was found to initiate from 12 wk to 16 wk ofgestation.CONCLUSION GDM symptoms may involve abnormalities in lipid metabolism, coagulation cascade activation, complementsystem and inflammatory response. RBP4 and ANGPTL8 are expected to be early predictors of GDM.

基于Geo-tagged照片的旅游推荐研究

在Web2.0时代,随着智能手机、数码相机和GPS导航系统等电子产品的广泛普及和社交网站的迅速发展,涌现出各种UGC(User Generated Content)形式的数据。同时,人们喜欢以图片或文字方式在网络上分享自己旅游的所见所闻,社交媒体数据通常包括文本标签、地理位置(经纬度)和拍摄时间等信息,这就为研究旅游推荐提供了可靠数据。使用Flickr网站上Geo-tagged照片数据集,采用基于密度的DBSCAN聚类算法对照片的经纬度进行聚类,结合TF-IDF算法为兴趣点命名,得到游客在西安的旅游兴趣点,然后综合考虑用户对兴趣点偏好和兴趣点属性,利用改进的协同过滤推荐算法为用户提供旅游推荐服务。实验结果表明,该算法能够有效提高系统的推荐精度。最后构建了用户信任网络,提高了推荐系统的信任度和满意度。

Comparison of biliary protein spectrum in gallstone patients with obesity and those with normal body weight

Background: Obesity is a common public health issue and is currently deemed a disease. Research has shown that the risk of gallstones in individuals with obesity is elevated. This study aimed to explore the bile proteomics differences between cholelithiasis patients with obesity and normal body weight. Methods: Bile samples from 20 patients(10 with obesity and 10 with normal body weight) who underwent laparoscopic cholecystectomy at our center were subjected to tandem mass tag labeling(TMT) and liquid chromatography-tandem mass spectrometry(LC-MS/MS), followed by further bioinformatic analysis. Results: Among the differentially expressed proteins, 23 were upregulated and 67 were downregulated. Bioinformatic analysis indicated that these differentially expressed proteins were mainly involved in cell development, inflammatory responses, glycerolipid metabolic processes, and protein activation cascades. In addition, the activity of the peroxisome proliferator-activated receptor(PPAR, a subfamily of nuclear receptors) signaling pathway was decreased in the Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis. Two downregulated proteins in the PPAR signaling pathway, APO A-Ⅰ and APO A-Ⅱ, were confirmed using enzyme-linked immunosorbent assay. Conclusions: The PPAR signaling pathway may play a crucial role in the development of cholelithiasis among patients with obesity. Furthermore, biliary proteomics profiling of gallstones patients with obesity is revealed, providing a reference for future research.

Joint Modeling of Citation Networks and User Preferences for Academic Tagging Recommender System

In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniques and tries to combine nodes’textual content for modelling.They still do not,however,directly simulate many interactions in network learning.In order to address these issues,we present a novel system that more thoroughly integrates user preferences and citation networks into article labelling recommendations.Specifically,we first employ path similarity to quantify the degree of similarity between user labelling preferences and articles in the citation network.Then,the Commuting Matrix for massive node pair paths is used to improve computational performance.Finally,the two commonalities mentioned above are combined with the interaction paper labels based on the additivity of Poisson distribution.In addition,we also consider solving the model’s parameters by applying variational inference.Experimental results demonstrate that our suggested framework agrees and significantly outperforms the state-of-the-art baseline on two real datasets by efficiently merging the three relational data.Based on the Area Under Curve(AUC)and Mean Average Precision(MAP)analysis,the performance of the suggested task is evaluated,and it is demonstrated to have a greater solving efficiency than current techniques.

Influence of ear tags on the results of body composition analysis in mice

Background:The aim of this study was to investigate the influence of marking meth-ods on the outcomes of body composition analysis and provide guidance for the se-lection of marking methods in mouse body composition analysis.Methods:Male C57BL/6J mice aged 6 weeks were randomly assigned for pre-and post-ear tagging measurements.The body composition of the mice was measured using a small animal body composition analyzer,which provided measurements of the mass of fat,lean,and free fluid.Then,the mass of fat,lean and free fluid to body weight ratio was gained.Further data analysis was conducted to obtain the range and coeffi-cient of variation in body composition measurements for each mouse.The distribution of fat and lean tissue in the mice was also analyzed by comparing the fat-to-lean ratio.Results:(1)The mass of all body composition components in the ear tagging group was significantly lower than that in the control group.(2)There was a significant in-crease in the range and coefficient of variation of body composition measurements between the ear tagging group and the control group.(3)The fat-to-lean ratio in the ear tagging group was significantly lower than that in the control group.Conclusions:Ear tagging significantly lowered the results of body composition analy-sis in mice and higher the results of measurement error.Therefore,ear tagging should be avoided as much as possible when conducting body composition analysis experi-ments in mice.

Metabolic engineering and genome editing strategies for enhanced lipid production in microalgae

Depleting global petroleum reserves and skyrocketing prices coupled with succinct supply have been a grave concern,which needs alternative sources to conventional fuels.Oleaginous microalgae have been explored for enhanced lipid production,leading towards biodiesel production.These microalgae have short life cycles,require less labor,and space,and are easy to scale up.Triacylglycerol,the primary source of lipids needed to produce biodiesel,is accumulated by most microalgae.The article focuses on different types of oleaginous microalgae,which can be used as a feedstock to produce biodiesel.Lipid biosynthesis in microalgae occurs through fatty acid synthesis and TAG synthesis approaches.In-depth discussions are held regarding other efficient methods for enhancing fatty acid and TAG synthesis,regulating TAG biosynthesis bypass methods,blocking competing pathways,multigene approach,and genome editing.The most potential targets for gene transformation are hypothesized to be a malic enzyme and diacylglycerol acyltransferase while lowering phosphoenolpyruvate carboxylase activity is reported to be advantageous for lipid synthesis.

A Novel Anti-Collision Algorithm for Large Scale of UHF RFID Tags Access Systems

When the radio frequency identification(RFID)system inventories multiple tags,the recognition rate will be seriously affected due to collisions.Based on the existing dynamic frame slotted Aloha(DFSA)algorithm,a sub-frame observation and cyclic redundancy check(CRC)grouping combined dynamic framed slotted Aloha(SUBF-CGDFSA)algorithm is proposed.The algorithm combines the precise estimation method of the quantity of large-scale tags,the large-scale tags grouping mechanism based on CRC pseudo-randomcharacteristics,and the Aloha anti-collision optimization mechanism based on sub-frame observation.By grouping tags and sequentially identifying themwithin subframes,it accurately estimates the number of remaining tags and optimizes frame length accordingly to improve efficiency in large-scale RFID systems.Simulation outcomes demonstrate that this proposed algorithmcan effectively break through the system throughput bottleneck of 36.8%,which is up to 30%higher than the existing DFSA standard scheme,and has more significant advantages,which is suitable for application in largescale RFID tags scenarios.

A U-Shaped Network-Based Grid Tagging Model for Chinese Named Entity Recognition

Chinese named entity recognition(CNER)has received widespread attention as an important task of Chinese information extraction.Most previous research has focused on individually studying flat CNER,overlapped CNER,or discontinuous CNER.However,a unified CNER is often needed in real-world scenarios.Recent studies have shown that grid tagging-based methods based on character-pair relationship classification hold great potential for achieving unified NER.Nevertheless,how to enrich Chinese character-pair grid representations and capture deeper dependencies between character pairs to improve entity recognition performance remains an unresolved challenge.In this study,we enhance the character-pair grid representation by incorporating both local and global information.Significantly,we introduce a new approach by considering the character-pair grid representation matrix as a specialized image,converting the classification of character-pair relationships into a pixel-level semantic segmentation task.We devise a U-shaped network to extract multi-scale and deeper semantic information from the grid image,allowing for a more comprehensive understanding of associative features between character pairs.This approach leads to improved accuracy in predicting their relationships,ultimately enhancing entity recognition performance.We conducted experiments on two public CNER datasets in the biomedical domain,namely CMeEE-V2 and Diakg.The results demonstrate the effectiveness of our approach,which achieves F1-score improvements of 7.29 percentage points and 1.64 percentage points compared to the current state-of-the-art(SOTA)models,respectively.

Analysis of quality-related proteins in golden pompano(Trachinotus ovatus)fillets with modified atmosphere packaging under superchilling storage

Here,we aimed to study the changes in proteome of golden pompano fillets during post-mortem storage.Tandem mass tags(TMT)-labeled quantitative proteomic strategy was applied to investigate the relationships between protein changes and quality characteristics of modified atmosphere packaging(MAP)fillets during superchilling(-3°C)storage.Scanning electron microscopy was used to show that the muscle histology microstructure of fillets was damaged to varying degrees,and low-field nuclear magnetic resonance was used to find that the immobilized water and free water in the muscle of fillets changed significantly.Total sulfhydryl content,TCA-soluble peptides and Ca2+-ATPase activity also showed that the fillet protein had a deterioration by oxidation and denaturation.The Fresh(FS),MAP,and air packaging(AP)groups were set.Total of 150 proteins were identified as differential abundant proteins(DAPs)in MAP/FS,while 209 DAPs were in AP/FS group.The KEGG pathway analysis indicated that most DAPs were involved in binding proteins and protein turnover.Correlation analysis found that 52 DAPs were correlated with quality traits.Among them,8 highly correlated DAPs are expected to be used as potential quality markers for protein oxidation and water-holding capacity.These results provide a further understanding of the muscle deterioration mechanism of packaging golden pompano fillets during superchilling.

Puerarin modulation of CENPA affects downstream PLK1 and CCNB1 expression to inhibit bladder cancer cell proliferation

Background:The treatment alternatives for bladder cancer(BLCA),the 10th most prevalent cancer in the world,need to be further investigated,and many active substances like Puerarin in herbal medicine were found to be effective in treating BLCA.The purpose of this study was to investigate the potential treating mechanisms of Puerarin on BLCA.Methods:The cell counting kit 8 assay and flow cytometry were performed to confirm Puerarin’s ability to suppress BLCA.The differentially expressed proteins(DEPs)were obtained by Tandem Mass Tags technology and functional enrichment analysis performed by R studio.The most enriched pathways were selected for study and the DEPs were screened out.Protein-protein interaction network maps were created using String and Cytoscape and key proteins,which will be analyzed for survival,expression,and upstream transcription factor prediction,were screened out using the cytoHubba plugin.CHEA3 was used to obtain upstream transcription factor validated by molecular docking and western blotting experiments.Results:Cell counting kit 8 showed that Puerarin inhibited BLCA cells,with 50%inhibitory concentration of 218μmol/L in T24 and 198μmol/L in 5637.Flow cytometry reveals that Puerarin blocks T24 and 5637 cells in G1 phase.1,385 DEPs were obtained and the enrichment analysis revealed that cell cycle and DNA replication were the two main areas in which DEPs were enriched.Cyclin-B-cyclin dependent kinase 1(CDK1),cyclin B1(CCNB1),and polo-like kinase 1(PLK1)were identified as key proteins,and their upstream transcription factor was predicted to be centromere protein A(CENPA).Puerarin’s binding energy to CENPA was determined by molecular docking to be−6.3 kcal/mol,indicating a strong binding interaction.Western blot showed that Puerarin significantly reduced the expression of CENPA.Conclusion:We hypothesize that Puerarin may inhibit the proliferation of bladder cancer cells by inhibiting CENPA expression to regulate PLK1 and CCNB1 expression,thereby affecting cell cycle.

A Set of Acupuncture Needles in the Late Qing Dynasty Collected by George Souliéde Morant

In the early 20th century,French vice-consul George Souliéde Morant encountered acupuncture during his visit to China,and then brought it back to France.After more than a century,his collection was transported from Paris,France to Kunming,China,and later recognized as a Chinese national third-class precious cultural heritage.Currently housed in the Museum of Western Studies on Chinese Medicine at Yunnan University of Chinese Medicine,this set of instruments includes one needle holder converted from a fan-shaped holder,ten acupuncture needles,and eleven paper tags handwritten in English with names of diseases and body parts.This article attempts to present the foundational information and historical significance of this collection of this set of late Qing dynasty acupuncture instruments by reviewing the collection and related research on acupuncture instruments,consulting acupuncture professionals,measuring the detailed information of the set of instruments,and employing a method of translating and summarizing the content of the attached tags.

Differential Expression Analysis of Proteins Regulated by Rare Earth Cerium in Soybean Leaves at Seedling Stage

This study was to explore the functional mechanism of rare earth regulating soybean leaves and the characteristics and functions of differentially expressed proteins under the regulation of rare earth. In this study, Dongnong 42 was used as material, and 30 mg·L^(-1) CeCl_(3) solution was sprayed on soybean leaves at the seedling stage. Tandem mass tag(TMT) quantitative proteomics technique and bioinformatics analysis were used to identify soybean leaf proteins. A total of 8 510 proteins were identified, and 127 differentially expressed proteins(DEPs) in response to rare earth cerium regulation were identified, among which 64 were upregulated and 63 were down-regulated. The gene ontology(GO) annotation indicated that DEPs were mainly involved in metabolic process, cellular process, response to stimulus, biological regulation, and response to a stimulus;DEPs in cell module categories were mainly involved in cells, cell part, organelle, membrane, membrane part, organelle par, and protein-containing complex;DEPs in molecular functional categories were mainly involved in catalytic activity, binding and antioxidant activity. Kyoto encyclopedia of genes and genomes(KEGG) pathway significantly enriched starch and sucrose metabolism, glycolysis/gluconeogenesis, galactose metabolism, pentose phosphate pathway, and MAPK signaling pathway-plant. These DEPs were mainly involved in photosynthesis, glucose metabolism and stress response. Forty-six differential protein interaction networks were identified by protein interaction network analysis. This experiment provided a reference for studies of the mechanism of rare earth cerium regulating soybean leaf function from the proteomic perspective.

34.TAG·西海美术馆:面朝大海的艺术长廊

设计:让·努维尔事务所地点:山东青岛西海岸新区时间:2012—2021年规模:17000 m^(2)TAG·西海美术馆位于一座半岛的海边,远离市区^([1,2])。从规划意图看,整个项目由美术馆和艺术工坊两部分组成,但由于工坊部分处于停工状态,艺术社区氛围尚未形成,作为主体建筑的美术馆便成了荒野中的孤独存在,公众可达性较差(图1)。尽管如此,从设计研究角度,这座美术馆仍有许多精彩看点值得关注。

Link Budget and Enhanced Communication Distance for Ambient Internet of Things

Backscatter communications will play an important role in connecting everything for beyond 5G(B5G)and 6G systems.One open challenge for backscatter communications is that the signals suffer a round-trip path loss so that the communication distance is short.In this paper,we first calculate the communication distance upper bounds for both uplink and downlink by measuring the tag sensitivity and reflection coefficient.It is found that the activation voltage of the envelope detection diode of the downlink tag is the main factor limiting the back-scatter communication distance.Based on this analysis,we then propose to implement a low-noise amplifier(LNA)module before the envelope detection at the tag to enhance the incident signal strength.Our experimental results on the hardware platform show that our method can increase the downlink communication range by nearly 20 m.

TAG HEUER 传奇之作 全面提升

传奇的卡莱拉泛美公路赛以其在墨西哥的严苛挑战而闻名,杰克·豪雅(Jack Heuer)以此为灵感,为TAG HEUER泰格豪雅卡莱拉系列腕表赋予了这一独特且极具影响力的名字。该系列凭借持续挑战边界的精准度,迅速赢得了市场的青睐并占据表迷的腕间,时至今日依旧风靡全球。在对系列进行了无数次的演绎后,日前泰格豪雅再度带来多款全新作品,将竞速传承、前沿材质及创新设计巧妙融合,一方面,是对2016年焕新的备受赞誉的卡莱拉系列运动风格计时码表的大胆演绎,另一方面,标志着该系列的又一次升级演变。

TAG HEUER 竞速激情

继去年以卡莱拉系列Skipper计时码表的精钢版本标志着品牌重返帆船运动与航海领域之后,TAG Heuer泰格豪雅如今欣然发布一款以18K 5N玫瑰金打造的全新版本。金质的Skipper计时码表与精钢版本类似,同样基于2023年前期为纪念卡莱拉系列计时码表60周年推出且热销的“玻璃盒”(glassbox)设计,并搭载品牌自制机心Heuer 02(型号:TH20-06),这是一款为帆船赛计时而特别调整的Heuer 02机心。

VLAN中Tagged与Untagged探讨

简要阐述了VLAN技术在网络中的重要性,在网络配置过程中对于tagged与untagged两个参数的选择存在的疑问;深入讲解tag的定义,同时结合实例,全面分析了VLAN的端口在untagged与tagged两种状态下,数据帧在通信过程中是否出现tag header的标识;总结出规律,有助于在VLAN中如何准确地使用tagged与untagged.