EcoPDB：高精度大肠杆菌蛋白质结构与对应基因序列数据集

高质量蛋白质结构及其对应基因序列数据是研究蛋白质折叠与蛋白质编码序列关系问题的基础.通过查询SWISS-PROT数据库中E.coli的蛋白质,得到不同数据库中的蛋白质结构与基因序列的交叉索引表,在此基础上,删除大量冗余及不可靠数据,最后得到一个高精度数据集EcoPDB.该数据集共有191个E.coli基因及其相应的精度好于2.5?的X射线衍射测定的PDB蛋白质结构数据,总残基数约5.5万.     

The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis

The fields of developmental psychopathology, developmental neuroscience, and behavioral genetics are increasingly moving toward a data sharing model to improve reproducibility, robustness, and generalizability of findings. This approach is particularly critical for understanding attention-deficit/hyperactivity disorder (ADHD), which has unique public health importance given its early onset, high prevalence, individual variability, and causal association with co-occurring and later developing problems. A further priority concerns multi-disciplinary/multi-method datasets that can span different units of analysis. Here, we describe a public dataset using a case-control design for ADHD that includes: multi-method, multi-measure, multi-informant, multi-trait data, and multi-clinician evaluation and phenotyping. It spans > 12 years of annual follow-up with a lag longitudinal design allowing age-based analyses spanning age 7–19 + years with a full age range from 7 to 21. Measures span genetic and epigenetic (DNA methylation) array data; EEG, functional and structural MRI neuroimaging; and psychophysiological, psychosocial, clinical and functional outcomes data. The resource also benefits from an autism spectrum disorder add-on cohort and a cross sectional case-control ADHD cohort from a different geographical region for replication and generalizability. Datasets allowing for integration from genes to nervous system to behavior represent the “next generation” of researchable cohorts for ADHD and developmental psychopathology.     

结合迁移学习与深度卷积网络的心电分类研究

为解决一维深度卷积网络（1D-DCNN）在心电分类方面存在的多类疾病识别不准、难以提取最佳特征等问题,提出一种结合迁移学习与二维深度卷积网络（2D-DCNN）直接识别心电图像的方法。首先,截取R波前后75 ms内的心电信号,并将一维心电电压信号转化为二维灰度图像信号。接着,构建2D-DCNN对心电节拍样本进行分类训练,权值初始化采用在ImageNet大规模图像数据集上进行预训练的AlexNet参数值。本文提出方法在MIT-BIH心电数据库上进行性能验证,其准确率达到98%,并在不同信噪比下保持较高的准确率,证明了所述模型在心电分类上具有良好的鲁棒性。为了验证2D-DCNN的识别性能,实验部分与采用不同激活函数的1D-DCNN、近些年性能较好的深度学习方法进行比较。量化结果表明,结合迁移学习和2D-DCNN方法,比最优1D-DCNN算法,其准确率提升2%、敏感度提升0.6%、特异性提高4%;在二分类与多分类任务中,均好于现有的其他算法。     

《护理与康复》杂志社网站开通公告

<正>为使《护理与康复》杂志跟上网络化步伐,缩短读者、作者、编者的距离,为国内外临床护士、研究人员以及医学院校从事护理教育工作者提供快捷的学术交流平台,《护理与康复》网站于2014年10月1日正式开通,网址:www.zjhlykf.com。网站依托杂志本身,体现"传递护理学术信息,提高理论与技术水平,促进护理学科发展"的办刊宗旨,通过期刊简介、期刊荣誉、投稿指南、审稿指南、期刊订阅、在线留言、期     

《肝胆疾病标准数据规范》系列解读

我国是肝胆疾病大国,但在肝胆疾病大数据领域却发展滞后,目前尚无全国层面的临床及影像学数据标准,且行业内缺乏肝胆疾病的规范化标注专家共识。为解决这一问题,中华人民共和国国家卫生健康委员会联合全国肝胆专家制定首个《肝胆疾病标准数据规范》团体标准。笔者团队就标准编制背景、主要内容及建立临床意义等对《肝胆疾病标准数据规范》3项标准(标准号分别为T/CMDA 001-2020、T/CMDA 002-2020、T/CMDA 003-2020)进行解读。旨在通过解读有助于临床医学研究及人工智能医疗器械等机构对数据采集、标注、质量控制规范的理解,有利于该标准的推广应用。     

Overcoming Boundaries of Worldwide Joint Arthroplasty Registers : The European Arthroplasty Register Minimal Dataset

Worldwide joint arthroplasty registers are instrumental to screen for complications or implant failures. In order to achieve comparable results a similar classification dataset is essential. The authors therefore present the European Federation of National Associations of Orthopaedics and Traumatology (EFORT) European Arthroplasty Register (EAR) minimal dataset for primary and revision joint arthroplasty. Main parameters include the following: date of operation, country, hospital ID-code, patient’s name and prename, birthday, identification code of the implant, gender, diagnosis, preoperations, type of prosthesis (partial, total), side, cementation technique, use of antibiotics in the cement, surgical approach, and others specifically related to the affected joint. The authors believe that using this minimal dataset will improve the chance for a worldwide comparison of arthroplasty registers and ask future countries for implementation.     

Compliance with the minimum dataset of the British Orthodontic Society/British Association of Oral and Maxillofacial Surgeons for record keeping for orthognathic patients: Retrospective comparative multicentre audit

Accurate and timely collection of clinical records is of utmost importance in planning, evaluating, and auditing orthognathic operations. The minimum dataset guidelines of the British Orthodontic Society (BOS) and the British Association of Oral and Maxillofacial Surgeons (BAOMS) were published in an attempt to standardise the collection of clinical records of patients having orthognathic operations. This multicentre retrospective audit aimed to assess and compare compliance with the guidelines in 3 maxillofacial units over a 1-year period. A total of 105 cases were reviewed. Compliance varied. Documentation of altered sensation was consistently poor and too many unnecessary radiographs were taken. There may be a need to circulate the guidelines again to increase awareness and reduce variability between centres.