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简介：ＡＮＩＭＰＲＯＶＥＤＢＰＮＥＴＷＯＲＫＡＮＤＩＴＳＡＰＰＬＩＣＡＴＩＯＮＣｈｅｎｇｌｉｎＰｅｎｇ，ＤｉＸｉａｏ，ＥｒｘｉｎＺｈｅｎｇ（Ｄｅｐｔ．ｏｆＥｌｅｃｔｔｒｏｎｉｃＥｎｇｉｎｅｅｒｉｎｇＣｈｏｎｇｑｉｎｇＵｎｉｖｅｒｓｉｔｙｃｈｏｎｇｑｉｎｇ，...

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简介：Cytokineslikeinterferons(IFNs)playacentralroleinregulatinginnateandspecificimmunitiesagainstthepathogensandneoplasticcells.AnumberofsignalingpathwaysareinducedinresponsetoIFNinvariouscells.OneclassicmechanismemployedbyIFNsistheJAK-STATsignalingpathwayforinducingcellularresponses.Herewedescribethenon-STATpathwaysthatparticipateinIFN-inducedresponses.Inparticular,wewillfocusontheroleplayedbytranscriptionfactorC/EBP-βinmediatingtheseresponses.

简介：胎儿的ECG抽取为胎儿的监视有重要意义。这份报纸介绍基于适应线性神经网络提取胎儿的ECG的一个方法。方法能被认识到bytraining数据的小数量。另外，更好的结果能被改进神经网络结构完成。因此，更容易鉴别胎儿的ECG能被提取。试验性的结果证明适应线性神经网络能被用来有效地从母亲的腹的信号提取胎儿的ECG。而且，更清楚的胎儿的ECG能被改进神经网络结构提取。

简介：为多信道的脑电图(EEG)的独立来源分离(ISS)的一个神经网络方法在这份报纸被建议。用小浪的降噪的功能多尺度的分解，高周波的噪音从原版被移开(未加工)EEG。当加权的混合物和重量向量的表示被寻求第四顺序的cumulants的本地极值获得，然后，多信道的EEG被对待(即峭度系数)混合物。在这些进程步以后，加权的混合物被用作神经网络的输入，因此EEG的独立来源能一个一个地被分开。试验性的结果证明我们的方法为多信道的EEG的ISS是有效的。

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简介：Anewsystemisdevelopedtorecognizepromotersequencesfromnon-promotersequencesbasedonpositionweightmatrixandbackpropagationneuralnetworkinthispaper.Thesystemperformssignificantlybetteronthetrainingsetandthetestset,themeanrecognitionrateisashighas99%onthetrainingsetand97%onthetestingset.Experimentalresultsdemonstratetheeffectivenessofthesystemtorecognizethepromotersequencesthathavebeentrainedandthepromotersequencesthathavenotbeenseenpreviously.

简介：在精子房间的膜修正在精子capacitation代表关键步；然而，这些修正的分子的基础充分没被理解。Ezrin是ezrin/radixin/merlin家庭的学习最好的成员。作为在外皮的细胞骨架和血浆膜蛋白质之间的cross-linker，ezrin贡献膜表面结构改变。而且，激活ezrin和Rho分离禁止者，RhoGDI，通过Rho激活支持外皮的cytoskeleton-polymerized肌动朊的形成。因此，ezrin，肌动朊，RhoGDI，Rho和血浆膜蛋白质在vivo形成一个复杂网络，它贡献膜表面的结构的集会。以前，我们证明ezrin和RhoGDI1在人的睾丸被表示。因此，我们寻求了决定ezrin鈥揜hoGDI1鈥揳c听鈥搈embrane蛋白质网络是否在人的精子capacitation有一个角色。我们由西方的污点的结果显示ezrin被threonine567残余的phosphorylation在capacitation期间激活。Co-immunoprecipitation研究表明在精子capacitation期间，在ezrin和RhoGDI1之间的相互作用增加，并且二维的电气泳动胶化的phosphostaining证明RhoGDI1是phosphorylated，建议RhoGDI1从RhoA分裂并且导致精子头上的肌动朊聚合。我们推测那激活的ezrin在capacitation以后与polymerized肌动朊和glycosylated膜蛋白质cd44交往。用ezrin特定或肌动朊特定的monoclonal抗体堵住精子capacitation减少他们的acrosome反应(AR)率，但是没独自在AR上有效果。一起拿，我们的结果证明由ezrin，RhoGDI1，RhoA，F肌动朊和膜蛋白质组成的一个网络工作影响在人的精子capacitation期间发生在精子头的膜上的修正。

简介：ＡＰＰＬＩＣＡＴＩＯＮＯＦＢＡＲＣＯＤＥＡＮＤＮＯＶＥＬＬＮＥＴＷＯＲＫＩＮＡＵＴＯＭＡＴＩＣＡＮＡＬＹＳＩＳＯＦＣＬＩＮＩＣＡＬＣＨＥＭＩＳＴＲＹＡＰＰＬＩＣＡＴＩＯＮＯＦＢＡＲＣＯＤＥＡＮＤＮＯＶＥＬＬＮＥＴＷＯＲＫＩＮＡＵＴＯＭＡＴＩＣＡＮＡＬ...

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简介：AbstractChina has accumulated multiple practices and experiences in building and enhancing malaria surveillance and response system. As China’s engagement into global health has gathered stronger momentum than ever, China together with the Swiss Tropical and Public Health Institute and WHO has organised five sessions of the International Forum on Surveillance-Response System Leading to Tropical Diseases Elimination during 2012-2020, in which malaria elimination has always been one of the hottest topics. In this study, the roles of international network on the surveillance and response system were explored to achieve a global malaria-free goal. China’s approach to malaria elimination has demonstrated significance of global collaboration on taking joint prevention and control, and building a worldwide institutional-based network.

简介：BasedonthefuzzycharacteristicofthepulsestateandsyndromesdifferentiationthinkingmodeofTCM,aninformationfusingrecognitionmethodofpulsestatesbasedonSFNN(StochasticFuzzyNeuralNetwork)ispresentedinthispaper.Withthelearningabilityinparametersandstructure,SFNNfusesthemeasurementinformationofthreepulse-statesensorsdistributedinCun,Guan,andChilocationofbodyforthepulsestaterecognition.Theexperimentalresultsshowthatthepercentageofcorrectrecognitionwithnewmethodishigherthanthatbysingle-datarecognitionone,withfeweroff-linetrainnumbers.

简介：摘要目的用精准自动勾画女性肠道器官的Dense V-Network模型对宫颈癌患者进行训练并评估。方法将Dense Net与V-Net2个网络模型进行融合，形成一种用于三维CT图像自动分割的Dense V-Network算法。160例宫颈癌患者CT数据被随机分为训练集130例用于调整模型参数，测试集30例用于评估自动分割效果。采用戴斯相似性系数(DSC)等8个参数定量评估分割效果。结果小肠DSC、杰卡德距离、体积差异性系数、敏感性指数、包容性指数、豪斯多夫距离、轮廓平均差异、质心偏差分别为0.86±0.03、0.25±0.04、0.10±0.07、0.88±0.05、0.85±0.05、(2.98±0.61) cm、(2.40±0.45) mm、(4.13±1.74) mm，结果优于单一算法(均P<0.05)。结论Dense V-Network算法可较为准确地分割肠道器官，医生修改审查简单易行，可用于临床。

简介：AbstractBackground:Data on the immunogenicity and safety of heterologous immunization schedules are inconsistent. This study aimed to evaluate the immunogenicity and safety of homologous and heterologous immunization schedules.Methods:Multiple databases with relevant studies were searched with an end date of October 31, 2021, and a website including a series of Coronavirus disease 2019 studies was examined for studies before March 31, 2022. Randomized controlled trials (RCTs) that compared different heterologous and homologous regimens among adults that reported immunogenicity and safety outcomes were reviewed. Primary outcomes included neutralizing antibodies against the original strain and serious adverse events (SAEs). A network meta-analysis (NMA) was conducted using a random-effects model.Results:In all, 11 RCTs were included in the systematic review, and nine were ultimately included in the NMA. Among participants who received two doses of CoronaVac, another dose of mRNA or a non-replicating viral vector vaccine resulted in a significantly higher level of neutralizing antibody than a third CoronaVac 600 sino unit (SU); a dose of BNT162b2 induced the highest geometric mean ratio (GMR) of 15.24, 95% confidence interval [CI]: 9.53-24.39. Following one dose of BNT162b2 vaccination, a dose of mRNA-1273 generated a significantly higher level of neutralizing antibody than BNT162b2 alone (GMR = 1.32; 95% CI: 1.06-1.64), NVX-CoV2373 (GMR = 1.60; 95% CI: 1.16-2.21), or ChAdOx1 (GMR = 1.80; 95% CI: 1.25-2.59). Following one dose of ChAdOx1, a dose of mRNA-1273 was also more effective for improving antibody levels than ChAdOx1 (GMR = 11.09; 95% CI: 8.36-14.71) or NVX-CoV2373 (GMR= 2.87; 95% CI: 1.08-3.91). No significant difference in the risk for SAEs was found in any comparisons.Conclusions:Relative to vaccination with two doses of CoronaVac, a dose of BNT162b2 as a booster substantially enhances immunogenicity reactions and has a relatively acceptable risk for SAEs relative to other vaccines. For primary vaccination, schedules including mRNA vaccines induce a greater immune response. However, the comparatively higher risk for local and systemic adverse events introduced by mRNA vaccines should be noted.Registration:PROSPERO; https://www.crd.york.ac.uk/PROSPERO/; No. CRD42021278149.

简介：AbstractObjective:Premature ovarian failure (POF) is a disease characterized by irregular menstruation and results in infertility which markedly affects the reproductive health of women. The Salvia miltiorrhiza-Codonopsis pilosula drug pair is effective at treating POF; however, knowledge of the mechanisms of S. miltiorrhiza-C. pilosula in the treatment of POF is lacking. Thus, we carried out network pharmacology and molecular docking to clarify the mechanisms of this drug pair.Methods:The core components and targets of S. miltiorrhiza-C. pilosula were obtained using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database and UniProt database, and the disease targets related to POF were searched using different tools to obtain the overlapping target genes of S. miltiorrhiza and C. pilosula. A protein interaction network of the intersection target was constructed using STRING database, and the network of "traditional Chinese medicine-active ingredient-intersection target-disease" and "pathways-targets" was constructed using Cytoscape 3.8.0. The DAVID online tool was also used to determine the gene ontology functions and Kyoto Encyclopedia of Genes and Genomes pathways associated with the intersection target genes. Finally, the binding ability of the drug to the active components and potential targets were predicted using molecular docking.Results:S. miltiorrhizae-C. pilosula had 72 active components, 128 targets, 3,775 POF targets, and 106 common targets. The potential targets were mainly related to the biological processes of DNA-binding transcription factor binding, RNA polymerase II-specific DNA-binding transcription factor binding, transcription factor activity, steroid receptor activity, and hypoxia response. Further, the Kyoto Encyclopedia of Genes and Genomes enrichment pathways included PI3K-Akt signaling pathway, apoptosis, interleukin (IL)-17 signaling pathway, relaxin signaling pathway, and other biological pathways.Conclusion(s):S. miltiorrhiza-C. pilosula can inhibit ovarian granulosa cell apoptosis and improve ovarian hemodynamics through multiple targets and multiple pathways and help treat POF.

简介：AbstractBackground:Colorectal cancer is harmful to the patient’s life. The treatment of patients is determined by accurate preoperative staging. Magnetic resonance imaging (MRI) played an important role in the preoperative examination of patients with rectal cancer, and artificial intelligence (AI) in the learning of images made significant achievements in recent years. Introducing AI into MRI recognition, a stable platform for image recognition and judgment can be established in a short period. This study aimed to establish an automatic diagnostic platform for predicting preoperative T staging of rectal cancer through a deep neural network.Methods:A total of 183 rectal cancer patients’ data were collected retrospectively as research objects. Faster region-based convolutional neural networks (Faster R-CNN) were used to build the platform. And the platform was evaluated according to the receiver operating characteristic (ROC) curve.Results:An automatic diagnosis platform for T staging of rectal cancer was established through the study of MRI. The areas under the ROC curve (AUC) were 0.99 in the horizontal plane, 0.97 in the sagittal plane, and 0.98 in the coronal plane. In the horizontal plane, the AUC of T1 stage was 1, AUC of T2 stage was 1, AUC of T3 stage was 1, AUC of T4 stage was 1. In the coronal plane, AUC of T1 stage was 0.96, AUC of T2 stage was 0.97, AUC of T3 stage was 0.97, AUC of T4 stage was 0.97. In the sagittal plane, AUC of T1 stage was 0.95, AUC of T2 stage was 0.99, AUC of T3 stage was 0.96, and AUC of T4 stage was 1.00.Conclusion:Faster R-CNN AI might be an effective and objective method to build the platform for predicting rectal cancer T-staging.Trial registration:chictr.org.cn: ChiCTR1900023575; http://www.chictr.org.cn/showproj.aspx?proj=39665.