|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The Compositae Tree of Life in the age of phylogenomics显示文摘包括超过 25000 种类,葵花家庭(Compositae 或 Asteraceae ) 是 flowering 植物的最大的家庭。许多它的系经历了最近、快速的放射,和家庭有大规模基因复制和 polyploidy 的深、普遍的历史。许多由于对发展史的主要节点的支持的差的分辨率和缺乏关于家庭差异的最重要的进化问题仍然保持未答复。我们的组用包括定序 1000 低拷贝的数字的 Hyb-Seq 采用了一条 phylogenomics 途径原子标记,为大量种类的正部分 plastomes。这里,我们讨论我们的进步标明日期并且介绍包括九个亚科和 25 个部落用的二发展史并置并且基于结合的分析。我们为合并高质量的参考染色体和 transcriptomes 在 Compositae 推进系统、进化的研究讨论未来计划。当我们向为采用 phylogenomics 并且在 Compositae 以内解决关系开发工具做了大迈进时,许多工作留下。最近形成的全球合伙将工作 megafamily 为这解决未答复的进化问题。 | Jennifer R. Mandel Michael S. Barker Randall J. Bayer Rebecca B. Dikow Tian-Gang Gao Katy E. Jones Sterling Keeley Norbert Kilian Hong Ma Carolina M. Siniscalchi Alfonso Susanna Ramhari Thapa Linda Watson Vicki A. Funk | 2017 | Journal of Systematics and Evolution2017，55，4： | 4 |
| 2 | Enhanced blackberry production using Pseudomonas fluorescens as elicitor显示文摘 | Daniel García-Seco Alfonso Bonilla Elena Algar Ana García-Villaraco Javier Gutierrez Ma?ero Beatriz Ramos-Solano | 2013 | Agronomy for Sustainable Development2013，，2： | 1 |
| 3 | Percent body fat measured by BIA and DEXA in obese, African-American adolescent girls 显示文摘 | Newton Jr RL Alfonso A White MA | 2005 | Intern J Obes2005，29，6： | 1 |
| 4 | Y chromosome STRs in the north of Portug 显示文摘 | Pontes ML Pena JA Alfonso Sanchez MA | 2004 | International Congress Series2004，1261，： | 1 |
| 5 | Aortic dissection diagnosis,state-of-the art of imaging and new management acquisitiona显示文摘 | Marian MA Alfonso A Nardi C | 2004 | Ital Heart J2004，5，9： | 1 |
| 6 | Radiation myelopathy in over-irradiated patients: MR imaging findings显示文摘 | De Gregorio MA Mateo P | 1997 | Eur Radiol1997，7，3： | 1 |
| 7 | Transcatheter intracavitary fibrinolysis of loculated pleural effusions experience in 102 patients 显示文摘 | de Gregorio MA Ruiz C Alfonso ER | 1999 | Cardiovasc Intervent Radiol1999，22，2： | 1 |
| 8 | 显示文摘 | Alfonso ER De Gregorio MA Mateo P | 1997 | Eur Radiol1997，7，3： | 1 |
| 9 | Precent body fat measured by BIA and DEXA in obese, African-American ad- olescentgirls 显示文摘 | Newton RL Alfonso A White MA | 2005 | IntJObes (Lond)2005，29，6： | 1 |
| 10 | Cell and molecular biology of Notch 显示文摘 | Fiu'za UM Alfonso MA | 2007 | J Endocrinology2007，194，： | 1 |
| 11 | Aortic dissection:diagnosis,state-of-the-art of imaging and new management acquisitions 显示文摘 | Mariani MA D′Alfonso A Nardi C | 2004 | Ital Heart J2004，5，9： | 1 |
| 12 | Precent body fat measured by BIA and DEXA in obese,African-American adolescent girls显示文摘 | Newton RL Alfonso A White MA | 2005 | Int J Obes(Lond)2005，29，6： | 1 |
| 13 | Aortic dissection:diagnosis,state-of-the-art of imaging and new management acquisitions显示文摘 | Mariani MA Alfonso AD Nardi C | 2004 | Ital Heart J2004，5，9： | 1 |
| 14 | The SUPER reporting guideline suggested for reporting of surgical technique显示文摘Background:Existing reporting guidelines pay insufficient attention to the detail and comprehensiveness reporting of surgical technique.The Surgical techniqUe rePorting chEcklist and standaRds(SUPER)aims to address this gap by defining reporting standards for surgical technique.The SUPER guideline intends to apply to articles that encompass surgical technique in any study design,surgical discipline,and stage of surgical innovation.Methods:Following the EQUATOR(Enhancing the QUAlity and Transparency Of health Research)Network approach,16 surgeons,journal editors,and methodologists reviewed existing reporting guidelines relating to surgical technique,reviewed papers from 15 top journals,and brainstormed to draft initial items for the SUPER.The initial items were revised through a three-round Delphi survey from 21 multidisciplinary Delphi panel experts from 13 countries and regions.The final SUPER items were formed after an online consensus meeting to resolve disagreements and a three-round wording refinement by all 16 SUPER working group members and five SUPER consultants.Results:The SUPER reporting guideline includes 22 items that are considered essential for good and informative surgical technique reporting.The items are divided into six sections:background,rationale,and objectives(items 1 to 5);preoperative preparations and requirements(items 6 to 9);surgical technique details(items 10 to 15);postoperative considerations and tasks(items 16 to 19);summary and prospect(items 20 and 21);and other information(item 22).Conclusions:The SUPER reporting guideline has the potential to guide detailed,comprehensive,and transparent surgical technique reporting for surgeons.It may also assist journal editors,peer reviewers,systematic reviewers,and guideline developers in the evaluation of surgical technique papers and help practitioners to better understand and reproduce surgical technique. | Kaiping Zhang Yanfang Ma Jinlin Wu Qianling Shi Leandro Cardoso Barchi Marco Scarci Rene Horsleben Petersen Calvin S.H.Ng Steven Hochwald Ryuichi Waseda Fabio Davoli Robert Fruscio Giovanni Battista Levi Sandri Michel Gonzalez Benjamin Wei Guillaume Piessen Jianfei Shen Xianzhuo Zhang Panpan Jiao Yulong He Nuria M.Novoa Benedetta Bedetti Sebastien Gilbert Alan D.L.Sihoe Alper Toker Alfonso Fiorelli Marcelo F.Jimenez Toni Lerut Aung Y.Oo Grace S.Li Xueqin Tang Yawen Lu Hussein Elkhayat Tomaz Stupnik Tanel Laisaar Firas Abu Akar Diego Gonzalez-Rivas Zhanhao Su Bin Qiu Stephen D.Wang Yaolong Chen Shugeng Gao | 2023 | Hepatobiliary Surgery and Nutrition2023，12，4： | 0 |
| 15 | Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts显示文摘The continuous accumulation of operational data has provided an ideal platform to devise and implement customized data analytics for smart HVAC fault detection and diagnosis.In practice,the potentials of advanced supervised learning algorithms have not been fully realized due to the lack of sufficient labeled data.To tackle such data challenges,this study proposes a graph neural network-based approach to effectively utilizing both labeled and unlabeled operational data for optimum decision-makings.More specifically,a graph generation method is proposed to transform tabular building operational data into association graphs,based on which graph convolutions are performed to derive useful insights for fault classifications.Data experiments have been designed to evaluate the values of the methods proposed.Three datasets on HVAC air-side operations have been used to ensure the generalizability of results obtained.Different data scenarios,which vary in training data amounts and imbalance ratios,have been created to comprehensively quantify behavioral patterns of representative graph convolution networks and their architectures.The research results indicate that graph neural networks can effectively leverage associations among labeled and unlabeled data samples to achieve an increase of 2.86%–7.30%in fault classification accuracies,providing a novel and promising solution for smart building management. | Cheng Fan Yiwen Lin Marco Savino Piscitelli Roberto Chiosa Huilong Wang Alfonso Capozzoli Yuanyuan Ma | 2023 | Building Simulation2023，16，8： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员