建设世界一流科技期刊的策略——基于Nature、Science、The Lancet和Cell的分析

【目的】 探索建设世界一流科技期刊的策略,以助力中国科技期刊冲刺世界一流水平。【方法】 通过研读相关政策和研究文献,结合对Nature、Science、The Lancet、Cell等不同类型的世界一流科技期刊的分析,解析世界一流科技期刊的概念及内涵,探讨建设世界一流科技期刊的充分条件和必要条件,提出建设世界一流科技期刊的建议。【结果】 卓越的办刊理念、全方位的国际化水平、世界一流的人才队伍、先进的经营管理水平以及汇聚一流前沿成果、卓著的科学声望是建设世界一流科技期刊的必要条件。“高、精、尖”和“稳、准、狠”的办刊策略,是建设世界一流科技期刊的充分条件。建设世界一流科技期刊要理性且准确地认知其内涵,始终坚持卓越的办刊理念、国际化战略、人才战略、质量战略和集群化战略。【结论】 中国科技期刊既要扎根祖国大地,又要学习世界一流期刊的成功经验,从办刊的硬实力和软实力方面吸收借鉴,才能探索出具有中国特色的世界一流科技期刊建设路径。     

口腔医疗机构应对国家突发公共卫生事件的问题与思考

突发公共卫生事件应急管理是一个全球性的课题。本文就2019年12月以来发生在中国的新型冠状病毒肺炎这一突发公共卫生事件,口腔医疗机构及其从业人员面临的相关问题进行法律层面的分析与思考,以期对口腔医疗行业应对突发公共卫生事件提供帮助和指导。     

69份苦玄参种质SSR遗传多样性及品质性状相关标记分析

目的:采用简单重复序列(SSR)分子标记技术对广西苦玄参主产区69份苦玄参种质样本进行遗传多样性及亲缘关系分析,并筛选与苦玄参苷含量相关联的优良种质基因。为苦玄参种质资源评价、遗传进化分析及分子标记辅助育种等提供依据。方法:基于转录组测序技术,开发20对引物进行批量扩增。利用各标记位点的遗传多态信息,分析69份苦玄参种质的遗传多样性及亲缘关系,并通过一元线性和多元逐步回归分析,筛选与苦玄参苷含量相关联的分子标记。结果:20对SSR引物共扩增出76个等位基因,平均每个位点观测等位基因3.8个,高于有效等位基因数(1.9692个),稀有等位基因率为38.2%,等位基因分布不均匀。等位基因多态率范围为0~59%,平均38.24%,各位点多态率差异较大。各位点多态信息含量(PIC)变化范围为0~0.6211,平均0.3780;Shannon多态性信息指数变化范围为0~1.2401,平均0.7590;Nei’s基因多样性指数(Nei)变化范围为0~0.6823,平均0.4409;以上3个指标最高的为P21,最低为P7,各位点遗传多样性存在较大差异。各位点平均观测杂合度为0.3824,低于平均期望杂合度(0.4425),表现为杂合子缺失;平均遗传分化系数Fst为0.3659;基因流Nm平均值为0.4332,种质遗传分化较大,基因流较小。一元线性回归分析和多元逐步回归分析结果表明,与苦玄参苷IA和IB相关的位点各有5个,其中仅有1个位点与2个成分的含量均相关。结论:20个SSR标记位点遗传多样性存在较大的差异,供试69份种质遗传分化大,基因流较小;从供试20个SSR标记中筛选出9个与苦玄参苷含量相关联的标记位点,试验结果可为苦玄参遗传进化分析及良种选育和繁育等提供依据。     

Geographical Origin and Level Identification of Frankincense Based on Hyperspectral Image

Background: As the demand for traditional Chinese medicinal materials increases in China and even the world, there is an urgent need for an effective and simple identification technology to identify the origin and quality of the latter and ensure the safety of clinical medication. Mineral element analysis and isotope finger-printing are the two commonly used techniques in traditional origin identification. Both of these techniques require the use of stoichiometric methods in the identification process. Although they have high accuracy and sensitivity, they are expensive and inefficient. In addition, near-infrared spectroscopy is a fast, nondestructive, and widely used identification technique developed in recent years, but its identification results are susceptible to samples’ states and environmental conditions, and its sensitivity is low. Hyperspectral imaging combines the advantages of imaging technology and optical technology, which can simultaneously access the image information and spectral information which reflect the external characteristics, internal physical structure, and chemical composition of the samples. Hyperspectral imaging is widely applied to agricultural product inspection, but research into its application in origin and quality identification of TCM materials is rare. Methods: In this study, the algorithm framework discriminative marginalized least squares regression (DMLSR) was used for feature extraction of frankincense hyperspectral data. The DMLSR with intraclass compactness graph and manifold regularization can efficiently learn the projective samples with higher separability and less redundant information than the original samples. Then, the discriminative collaborative representation with Tikhonov regularization (DCRT) was applied for classifying the geographical origin and level of frankincense. DCRT introducesthe discriminant regularization term and incorporates SID, which is more sensitive to the spectrum as the measurement method and is more suitable for the frankincense spectral data compared with SVM. Results: For the origin classification task, samples of all levels from each origin were, respectively, selected for three?way classification. We used 10-fold cross-validation to select a model parameter in the experiment. When obtaining the optimal parameters, we randomly selected the training set and testing set, where the training set accounts for 70% and the training set for 30%. After repeating this random process 10 times, we obtained the final average classification accuracy, which is higher than 90%, and the standard deviation fluctuation is usually small. For the level classification task, samples of each level from three origins were separately selected for multiclassification. We randomly selected the training set and testing set from each origin. The level classification results of the three origins are good on D4350 data, and the classification accuracy of each level is basically above 80%. Conclusion: Experiments and analysis show that our algorithm framework has excellent classification performance, which is stable in origin classification and has potential for generalization. In addition, the experiments show that in our algorithm framework, different classification tasks need to combine different data sources to achieve better classification and recognition, as the origin classification task uses frankincense’s D3000 data, and level classification task uses frankincense’s D4350 data.     

Application of an augmented reality tool for maxillary positioning in orthognathic surgery – A feasibility study

BACKGROUND: An augmented reality tool for computer assisted surgery named X-Scope allows visual tracking of real anatomical structures in superposition with volume rendered CT or MRI scans and thus can be used for navigated translocation of bony segments. METHODS: In a feasibility study X-Scope was used in orthognathic surgery to control the translocation of the maxilla after Le Fort I osteotomy within a bimaxillary procedure. The situation achieved was compared with the pre-operative situation by means of cephalometric analysis on lateral and frontal cephalograms. RESULTS: The technique was successfully utilized in 5 patients. Maxillary positioning using X-Scope was accomplished accurately within a range of 1mm. The tool was used in all cases in addition to the usual intra-operative splints. A stand-alone application without conventional control does not yet seem reasonable. CONCLUSION: Augmented reality tools like X-Scope may be helpful for controlling maxillary translocation in orthognathic surgery. The application to other interventions in cranio-maxillofacial surgery such as Le Fort III osteotomy, fronto-orbital advancement, and cranial vault reshaping or repair may also be considered.     

妇女叶酸增补中需要关注的问题

妇女围孕期增补叶酸能够有效预防神经管缺陷等疾病的发生。随着对叶酸研究的不断深入，叶酸补充中出现了诸多问题。本文简要综述了叶酸在服用方式以及基础和临床研究中出现的值得讨论、已经引起关注和需要进一步研究探讨的问题，并提出了深入研究叶酸可能的发展趋势。     

维药无花果叶对抗大鼠泼尼松性骨质疏松的作用研究

目的：研究维药无花果叶醇提物对泼尼松致大鼠骨质疏松的对抗作用。方法：将50只大鼠随机分成正常对照组、泼尼松模型组和维药无花果叶醇提物高、中、低（10mg/kg、20mg/kg、30mg/kg）剂量组，每组10只。分别灌胃相应药物，每日1次，连续8周后取血清检测生化指标，对骨进行组织切片检查，长度、宽度以及骨质的测量。结果：泼尼松模型组大鼠股骨重量、尺骨羟脯氨酸和骨钙含量比正常对照组明显降低，胫骨骨髓腔中脂肪组织增多（P〈0．01），血浆胆固醇（TG）含量上升、碱性磷酸酶（ALP）和高密度脂蛋白（吼）含量下降（P〈0．01）。维药无花果叶醇提组能有效提高骨的重量和骨质的含量（P〈0．01），减少骨髓腔中脂肪的含量，升高碱性磷酸酶和高密度脂蛋白含量（P〈0．01）。结论：泼尼松可抑制大鼠的，肾生长及引起骨丢失，而维药无花果叶醇提物可有良好的对抗作用。     

口腔鳞状细胞癌颈淋巴转移范围和临床病理因素间的相关性研究

目的探讨口腔鳞状细胞癌颈淋巴转移范围和临床病理因素间的关系。方法对26例已存在颈淋巴转移的原发口腔癌患者，进行颈淋巴转移范围和患者的临床病理资料的统计分析，寻找影响转移范围的主要因素。结果单因素分析发现，肿瘤生长方式和分化程度与转移范围相关。多因素分析显示，肿瘤生长方式(浸润型)和肿瘤转移范围相关。结论对颈淋巴已有转移的口腔癌患者，若原发灶为浸润性生长，肿瘤倾向于更大范围的转移。对已有颈淋巴转移的口腔癌患者，颈淋巴清扫术范围的制定，主要考虑肿瘤生长方式，适当考虑肿瘤发病部位、厚度、大小和细胞的分化程度，可以不考虑患者年龄和性别。     

人子宫内膜植入兔眼前房模型的研究

本实验成功地将人子宫内膜植入到１５只去卵巢新西兰雌兔的眼前房，并给每只兔外源补充雌二醇（Ｅ２）１００μｇ／ｄ和孕酮（Ｐ）８ｍｇ／ｄ。在内膜植入期间每只兔皮下注射总量为９ｍｇ的霉酚酸（ｍｙ－ｃｏｐｈｅｎｏｌｉｃａｃｉｄ）以防免疫排斥反应。在眼前房的人子宫内膜存活了２８．４４±８．６５天，兔血清Ｅ２和Ｐ的平均值分别为１６１．７１±１５．１３和３８．８８±７．４５ｐｍｏｌ／Ｌ。前房液中Ｅ２和Ｐ浓度在植入人子宫内膜前后分别为２４．８０±１６．５３和１７０９．２５±４７５．１０ｐｍｏｌ／Ｌ，２．００±０．５３和１２．２２±３．８１ｎｍｏｌ／Ｌ。树脂切片验证人子宫内膜植入兔眼前房第５天就能与虹膜附贴并有血管发生。来自巩膜的血管分布在子宫内膜周围。扫描电镜观察人子宫内膜分化成分泌细胞和纤毛细胞。植入人子宫内膜后，前房液的蛋白浓度高于植入前。可以证明该模型可用来研究人子宫内膜对药物的反应和通过对前房液的测量研究子宫内膜的分泌功能。