Computed tomography-based nomogram of Siewert type Ⅱ/Ⅲ adenocarcinoma of esophagogastric junction to predict response to docetaxel, oxaliplatin and S-1

BACKGROUND Neoadjuvant chemotherapy(NAC)has become the standard care for advanced adenocarcinoma of esophagogastric junction(AEG),although a part of the patients cannot benefit from NAC.There are no models based on baseline computed tomography(CT)to predict response of Siewert type II or III AEG to NAC with docetaxel,oxaliplatin and S-1(DOS).AIM To develop a CT-based nomogram to predict response of Siewert type II/III AEG to NAC with DOS.METHODS One hundred and twenty-eight consecutive patients with confirmed Siewert type II/III AEG underwent CT before and after three cycles of NAC with DOS,and were randomly and consecutively assigned to the training cohort(TC)(n=94)and the validation cohort(VC)(n=34).Therapeutic effect was assessed by disease-control rate and progressive disease according to the Response Evaluation Criteria in Solid Tumors(version 1.1)criteria.Possible prognostic factors associated with responses after DOS treatment including Siewert classification,gross tumor volume(GTV),and cT and cN stages were evaluated using pretherapeutic CT data in addition to sex and age.Univariate and multivariate analyses of CT and clinical features in the TC were performed to determine independent factors associated with response to DOS.A nomogram was established based on independent factors to predict the response.The predictive performance of the nomogram was evaluated by Concordance index(C-index),calibration and receiver operating characteristics curve in the TC and VC.RESULTS Univariate analysis showed that Siewert type(52/55 vs 29/39,P=0.005),pretherapeutic cT stage(57/62 vs 24/32,P=0.028),GTV(47.3±27.4 vs 73.2±54.3,P=0.040)were significantly associated with response to DOS in the TC.Multivariate analysis of the TC also showed that the pretherapeutic cT stage,GTV and Siewert type were independent predictive factors related to response to DOS(odds ratio=4.631,1.027 and 7.639,respectively;all P<0.05).The nomogram developed with these independent factors showed an excellent performance to predict response to DOS in the TC and VC(C-index:0.838 and 0.824),with area under the receiver operating characteristic curve of 0.838 and 0.824,respectively.The calibration curves showed that the practical and predicted response to DOS effectively coincided.CONCLUSION A novel nomogram developed with pretherapeutic cT stage,GTV and Siewert type predicted the response of Siewert type II/III AEG to NAC with DOS.

基于网络药理学和分子对接探究天冬治疗过敏性哮喘的作用机制

目的:运用网络药理学方法和分子对接技术探究天冬治疗过敏性哮喘的作用机制。方法:利用中药系统药理学数据库与分析平台(TCMSP)、TCMID及BATMAN-TCM、STP数据库获取天冬活性成分和靶点,通过GeneCards和OMIM、TTD数据库获得过敏性哮喘的治疗靶点,利用Venny 2.1得到交集靶点,并采用STRING数据库绘制蛋白互作(PPI)网络。应用Metacape进行GO功能富集分析和KEGG信号通路富集分析,使用Cytoscape 3.9.1构建“药物-活性成分-疾病-靶点网络”,运用Autodock vina 1.1.2进行分子对接验证。结果:筛选得到天冬8个活性成分、323个活性成分靶点基因和2629个疾病靶点基因以及169个交集基因,关键靶点包括蛋白激酶B1(AKT1)、肿瘤坏死因子(TNF)、SRC、表皮生长因子受体(EGFR)、雌激素受体1(ESR1)、MMP9、白细胞介素2(IL2)等;涉及治疗过敏性哮喘的GO分析2212条,KEGG分析193条,主要通过磷酯酰肌醇3-激酶/蛋白激酶B(PI3K-Akt)、丝裂原活化蛋白激酶(MAPK)、受体相关蛋白1(Rap1)等通路治疗过敏性哮喘。此外,由分子对接结果可知,天冬多个活性成分与靶蛋白之间可通过氢键和疏水相互作用结合,具有良好的结合活性。结论:天冬治疗过敏性哮喘的机制可能为2-甲基-7-甲氧基异黄酮、伪原薯蓣皂甘元、薯蓣皂甘元等多个成分,通过PI3K-Akt、MAPK等多条信号通路,作用于AKT1、TNF、SRC、EGFR等多个靶点协同发挥对过敏性哮喘的治疗作用,本研究可为进一步的应用研究提供理论基础。

立式压滤机在钨精矿干燥中的研究及应用

针对电磁加热烘干系统处理能力小、烘干效果差的问题,采用立式压滤机对钨精矿进行干燥,最佳工艺条件为滤布孔径23μm、给矿浓度约35%、挤压时间320 s、入料及干燥时间均为300 s,改进后钨精矿的含水量下降≤14.5%,处理量≥3 t/d。

幼儿园地方童谣教学的游戏化策略

当前,幼儿园在开展童谣教学中存在童谣内容不适合幼儿的年龄特点,教师缺乏相关的地方文化知识以及教学方式单一落后等问题。为了更好地发挥游戏在地方童谣教学中的作用,需要幼儿园教师在教学设计和实施过程中正确解读童谣内容,选择有针对性的游戏类型,采取合适的实施途径,遵循以幼儿为本的教学原则并创新教学的方式方法。

任务式顶岗实习对师范生专业情意影响的实验研究

采取重复测量的实验设计,在师范生顶岗实习中引入活动任务,研究任务式顶岗实习对师范生专业情意的影响。结果显示,实验前,实验组和对照组在专业情意上不存在差异;实验后,实验组职业自我概念水平明显优于对照组,职业倦怠感明显低于对照组。因此,将任务引入顶岗实习中,对实习生职业自我概念的培养和职业倦怠的减少有积极作用,在顶岗实习中设置任务对学生的专业情意的干预有效。

师范生职业价值取向的结构分析——基于师范类专业认证视角

职业价值取向是师范生教育情怀的核心内容,是师范生核心能力的评价指标之一。使用自编的"师范生职业价值取向量表"对2所高校244名师范生进行测量,因素分析发现师范生职业价值取向量表有较好的信度和效度,可作为师范认证指标的客观评价工具。当代师范生职业价值取向由自我实现、社会价值、发展空间、薪酬待遇和心理环境5个维度构成。新生与毕业生的差异分析反映了师范教育下师范生职业价值取向的发展。

基于主成分分析的芝麻品质综合评价

【目的】对31份芝麻资源的油用品质进行综合评价,筛选出综合品质较高的油用品种。【方法】应用近红外光谱仪测定芝麻资源的13个品质性状,并采用主成分分析法建立芝麻油用品质综合评价模型,依据该模型对31份芝麻资源油用品质进行综合评价。【结果】代表芝麻油用品质的13个指标均存在品种间差异,其中品种间芝麻素、芝麻酚林、亚麻酸含量差异较大,棕榈酸、亚油酸含量差异较小;芝麻中油酸含量与亚油酸含量、芝麻素含量与亚麻酸含量间存在极显著的负相关关系,芝麻酚林含量与亚麻酸含量、亚麻酸含量与棕榈烯酸含量间存在极显著正相关关系;采用主成分分析法筛选出综合评价芝麻油用品质的核心指标:亚麻酸含量、油酸含量和芝麻酚林含量,依据芝麻品质评价模型评价出综合品质最优的5个芝麻品种依次为:鄱阳黑、鄱阳千层塔、鄱阳对夹乌、上饶车轮芝麻、星子芝麻。【结论】研究对31份芝麻资源的品质进行综合评价,筛选出了5个油用品质较优的品种,可为芝麻油用品质综合评价及油用高品质芝麻品种选育提供参考。

泰优398双季直播栽培模式周年产量、品质与经济效益分析

为解决双季稻种植地区早季落粒谷严重影响晚季稻米品质的问题。以优质晚稻品种泰优398为试验材料,进行双季兼用直播,分析其周年产量、品质与经济效益。结果表明:泰优398早季直播生育期为109 d,晚季直播生育期比早季延长了7 d;稻米品质表现为早、晚稻的出糙率和精米率差异不显著,晚稻的整精米率显著高于早稻;晚稻的直链淀粉含量、胶稠度高于早稻,其中直链淀粉含量差异不显著;RVA谱特征值表现为晚稻的峰值粘度、热浆粘度、冷胶粘度、崩解值均显著高于早稻。周年产量为16.29 t/hm^2,早季稻谷作为晚季稻谷卖,净收益为13671.74元/hm^2,一般农户种植净收益为12326.47元/hm^2,双季直播净收益较一般农户种植提高了10.91%。因此,双季直播优质稻能够在保证产量和品质的情况下,提高水稻种植的经济效益。

Instant Edit Propagation on Images Based on Bilateral Grid

The ability to quickly and intuitively edit digital content has become increasingly important in our everyday life.However,existing edit propagation methods for editing digital images are typically based on optimization with high computational cost for large inputs.Moreover,existing edit propagation methods are generally inefficient and highly time-consuming.Accordingly,to improve edit efficiency,this paper proposes a novel edit propagation method using a bilateral grid,which can achieve instant propagation of sparse image edits.Firstly,given an input image with user interactions,we resample each of its pixels into a regularly sampled bilateral grid,which facilitates efficient mapping from an image to the bilateral space.As a result,all pixels with the same feature information(color,coordinates)are clustered to the same grid,which can achieve the goal of reducing both the amount of image data processing and the cost of calculation.We then reformulate the propagation as a function of the interpolation problem in bilateral space,which is solved very efficiently using radial basis functions.Experimental results show that our method improves the efficiency of color editing,making it faster than existing edit approaches,and results in excellent edited images with high quality.

天冬化学成分及药理作用研究进展

天冬为百合科植物天门冬(Asparagus cochinchinensis(Lour.)Merr)的块根,作为传统中药,在民间具有悠久的应用历史,主要分布于四川、贵州、广西、云南等地。现代植物化学和药理学研究发现,天冬中含有皂苷类、多糖类、氨基酸类、木脂素类等多种化学成分;具有镇咳平喘、抗菌、抗炎、增强免疫、改善胃肠道功能、降血糖、抗衰老、抗肿瘤等药理作用。本文查阅了近年来国内外有关文献,对其化学成分和药理活性方面的研究成果进行了综述,为天冬的进一步深入研究和开发利用提供参考依据。

抑制SNCG阳性表达乳腺癌细胞株MDA-MB231的实验研究(英文)

Objective:The aim of the study was to evaluate the inhibition of different chemotherapy drugs on γ-synuclein (SNCG) positive expression of breast cancer cell line MDA-MB231,and the effects on cell cycle and apoptosis,and to explore the related mechanism as well.Methods:We treated the breast cancer cell line MDA-MB231 for the inhibition of SNCG with chemotherapy drugs such as irinotecan,nedaplatin and 5-fluorouracil using RT-PCR and immunohistochemistry,and adopted flow cytometry to detect cell cycle distribution and apoptosis.Results:At the transcription and translation levels,the SNCG expression level in nedaplatin group and 5-fluorouracil group was lower than that of other groups and there was statistically significance (P < 0.01) compared with the control group,while there was not statistically significant between irinotecan group and the control group.After drugs action,cell cycle and distribution in each experiment group changed obviously,where the cells in G0G1 phase increased,especially the cells in the nedaplatin group and 5-fluorouracil group changed most significantly,as well as the obvious change in the cells of nedaplatin group and 5-fluorouracil group in the apoptosis period.Conclusion:There was a stronger inhibition of SNCG expression in nedaplatin and 5-fluorouracil groups,and can cause significant cell cycle and apoptosis changes.It may also be concluded that nedaplatin and 5-fluorouracil could make effects by the mechanisms of inhibiting cancer cell proliferation and inducing cell apoptosis.

Middle thyroid vein tumor thrombus in metastatic papillary thyroid microcarcinoma:A case report and review of literature

BACKGROUND Although papillary thyroid microcarcinoma(PTMC)is not considered a threatening tumor,in some cases,it can be aggressive.Metastatic thrombosis of papillary thyroid carcinoma,follicular thyroid carcinoma,Hürthle cell carcinoma,poorly differentiated thyroid carcinoma and anaplastic thyroid carcinoma have been reported in the literature,but there have been no reports about PTMC.CASE SUMMARY A 45-year-old woman presented with a thyroid mass and thrombosis in a middle thyroid vein during a physical examination.She had no symptoms,and the physical examination showed no positive signs.Subsequent ultrasonographyguided fine-needle aspiration biopsy results indicated an atypical lesion of ambiguous significance,with some actively growing cells(TBSRTCⅢ)and the BRAFV600E mutation not present.This patient underwent left thyroidectomy,isthmus lobectomy,prophylactic central lymph node dissection and thromboembolectomy.Postoperative pathology showed papillary microcarcinoma of the left thyroid,and the thrombus in the middle thyroid vein was a tumor thrombus.CONCLUSION Middle thyroid vein tumor thrombus is an extremely rare condition in PTMC,but it does exist.Lobectomy and thromboembolectomy may be an option for patients with thrombi in the middle vein of the thyroid,and we strongly suggest close follow-up of these patients.

A Survey on Machine Learning Algorithms in Little-Labeled Data for Motor Imagery-Based Brain-Computer Interfaces

The Brain-Computer Interfaces(BCIs)had been proposed and used in therapeutics for decades.However,the need of time-consuming calibration phase and the lack of robustness,which are caused by little-labeled data,are restricting the advance and application of BCI,especially for the BCI based on motor imagery(MI).In this paper,we reviewed the recent development in the machine learning algorithm used in the MI-based BCI,which may provide potential solutions for addressing the issue.We classified these algorithms into two categories,namely,and enhancing the representation and expanding the training set.Specifically,these methods of enhancing the representation of features collected from few EEG trials are based on extracting features of multiple bands,regularization,and so on.The methods of expanding the training dataset include approaches of transfer learning(session to session transfer,subject to subject transfer)and generating artificial EEG data.The result of these techniques showed the resolution of the challenges to some extent.As a developing research area,the study of BCI algorithms in little-labeled data is increasingly requiring the advancement of human brain physiological structure research and more transfer learning algorithms research.

基于CiteSpace和VOSviewer的白芍研究现状及研究热点可视化分析

目的基于CiteSpace和VOSviewer文献计量学方法,分析白芍研究现状并预测未来的研究热点和发展趋势。方法分别从中国知网数据库、万方数据库、Web of Science数据库核心集中收集白芍研究文献,导入NoteExpress中删除重复文献、不合格文献并统一关键词,再利用Excel、CiteSpace、VOSviewer软件分别对中英文文献的发文量、发文期刊、发文作者、发文机构、发文国家、文献被引频次、关键词等进行可视化分析。结果共检索到符合要求的文献4046篇,其中中文文献3334篇,英文文献712篇。白芍研究相关的年发文量整体呈上升趋势,中英文发文量最多的机构分别为北京中医药大学(76篇)和扬州大学(73篇),发文量最多的作者分别为魏伟(24篇)、Tao Jun(66篇)。开展白芍研究的国家主要以中国为主,刊载量最多的中英文期刊分别是《中草药》和Journal of Ethnopharmacology。被引频次前10的中英文文献主要为白芍药理作用及其机制研究方向,包括抗炎、抗氧化、抗抑郁、镇痛等方面。结论白芍研究热点集中在数据挖掘、组方规律以及白芍及其药效成分的药理作用和作用机制方面,尤其在抗氧化、抗炎、神经保护、抗抑郁、调节肠道菌群等方面的作用机制的深入研究可能是未来主要的研究趋势。

二级成本核算体系的构建与实施

当今全球化进程加快,我国市场经济高速发展,行业竞争压力也更加激烈,不断压缩着制造业企业的利润空间,在这种情形下,企业成本核算能否有效落实,直接关系着成本管控水平,进而影响到企业的经营利润。对于制造业企业而言,若想提升竞争优势,就应当加强成本管理,从而达到可持续发展的目的。西安雷通科技有限责任公司(以下简称“公司”或“雷通公司”)立足长远视角制定战略目标,逐步摸索出了一套适合本公司的二级成本核算体系来管控成本,辅助决策,有效引导新市场的开拓,弥补夕阳产业萎缩带来的缺口,促进公司稳步发展,切实履行不断创造价值首责。

光滑黄皮茎中香豆素类和生物碱类化学成分研究

目的研究芸香科黄皮属植物光滑黄皮Clausena lenis茎中的化学成分。方法综合运用硅胶柱色谱、ODS柱色谱、Sephadex LH-20凝胶柱色谱以及制备型高效液相色谱等方法进行系统分离和纯化,根据化合物的理化性质及其波谱数据,并通过与文献中报道的波谱数据进行对照,鉴定化合物的化学结构。结果从光滑黄皮茎的90%乙醇提取物中分离得到了18个化合物,分别鉴定为6,8-diprenylumbelliferone(1)、byakangelicin(2)、tert-O-methylheraclenol(3)、pabularinone(4)、异栓翅芹烯醇(5)、独活属醇(6)、欧前胡素(7)、前胡醇(8)、花椒树皮素甲(9)、异紫花前胡内酯(10)、茵芋碱(11)、香草木宁(12)、N-metilatanina(13)、clausine Z(14)、九里香碱(15)、2-methoxy-1-(3-methyl-buten-1-yl)-9H-carbazole-3-carbaldehyde(16)、claulansine I(17)和clausehainanine A(18)。其中化合物1~10为香豆素类化合物,11~18为生物碱类化合物。结论所有化合物均为首次从光滑黄皮中分离得到,其中化合物2、3和8为首次从黄皮属植物中分离得到。

Change Rules of Γ_2 Particles in Hot-dipped Zn-Ti Coating

Hot-dip Zn-Ti galvanizing can restrain the excess growth of the coating which has better corrosion resist- ances than hot-dip pure Zn. The change rules of Г2 intermetallic compound in hot-dip Zn-Ti galvanizing is investiga ted by immersion time, titanium content and the slag test using scanning electron microscopy （SEM）, energy dis- persive spectroscopy （EDS） and X-ray diffraction （XRD）. And the mechanism of nucleation and growth of Г2 inter- metallic compound is analysed. The results show that, when adding 0. 05mass% titanium to the zinc bath, the Г2 particles form in the η layer, which nucleate by obtaining Ti atoms from the phase and Fe atoms from the dissol- ving ζ phase layer. Moreover, the more titanium is added into the bath, the more and bigger Гz particles appear. The Fz particles in the coatings grow up noticeably with prolonging the immersion time.

Preserving global features of fluid animation from a single image using video examples

We synthesize animations from a single image by transferring fluid motion of a video example globally.Given a target image of a fluid scene,an alpha matte is required to extract the fluid region.Our method needs to adjust a user-specified video example for producing the fluid motion suitable for the extracted fluid region.Employing the fluid video database,the flow field of the target image is obtained by warping the optical flow of a video frame that has a visually similar scene to the target image according to their scene correspondences,which assigns fluid orientation and speed automatically.Results show that our method is successful in preserving large fluid features in the synthesized animations.In comparison to existing approaches,it is both possible and useful to utilize our method to create flow animations with higher quality.