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| 1 | A community-derived classification for extant lycophytes and ferns显示文摘发展史长通知了蕨类植物分类。当我们推断进化的树的能力改善了,针对认出生来的组的分类变得逐渐地预兆、稳定。这里,我们为 lycophytes 和蕨纲植物提供一个现代、全面分类,在下面,利用一条基于社区的途径类水平。我们 monophyly 用作主要标准让 taxa,而且目的识别保存两个广泛地被接受的存在 taxa 和界限并且与我们蕨类植物发展史的理解一致。总共,这个分类对待一在 337 个类, 51 个家庭, 14 目,和二个班估计了 11 916 种类。这个分类没在 lycophyte 和蕨纲植物上作为最后的词被打算分类,而是当前的假设的概括陈述,源于最好的可得到的数据并且在问题由熟悉植物的那些大多数塑造了。我们希望它将在蕨类植物上为最近的文学的那些想要的参考用作一个资源发展史和分类,为指导未来调查的一个框架,和推进讲话的刺激。 | Eric Schuettpelz Harald Schneider Alan R. Smith Peter Hovenkamp Jefferson Prado Germinal Rouhan Alexandre Salino Michael Sundue Thafs Elias Almeida Barbara Parris Emily B. Sessa Ashley R. Field Andre Luis de Gasper Carl J. Rothfels Michael D. Windham Marcus Lehnert Benjamin Dauphin Atsushi Ebihara Samuli Lehtonen Pedro Bond Schwartsburd Jordan Metzgar Li-Bing Zhang Li-Yaung Kuo Patrick J. Brownsey Masahiro Kato Marcelo Daniel Arana Francine C. Assis Michael S. Barker David S. Barrington Ho-Ming Chang Yi-Han Chang Yi-Shan Chao Cheng-Wei Chen De-Kui Chen Wen-Liang Chiou Vinicius Antonio de Oliveira Dittrich Yi-Fan Duan Jean-Yves Dubuisson Donald R. Farrar Susan Fawcett Jose Maria Gabriel y Galan Luiz Armando de Araujo Goes-Neto Jason R. Grant Amanda L. Grusz Christopher Haufler Warren Hauk Hai He Sabine Hennequin Regina Yoshie Hirai Layne Huiet Michael Kessler Petra Korall Paulo H. Labiak Anders Larsson Blanca Leen Chun-Xiang Li Fay-Wei Li Melanie Link-Perez Hong-Mei Liu Ngan Thi Lu Esteban I. Meza-Torres Xin-Yuan Miao Robbin Moran Claudine Massi Mynssens Nathalie Nagalingum Benjamin Ollgaard Alison M. Paul Jovani B. de S. Pereira Leon R. Perrie Monica Ponce Tom A. Ranker Christian Schulz Wataru Shinohara Alexander Shmakov Erin M. Sigel Filipe Soares de Souza Lana da Silva Sylvestre Weston Testo Luz Amparo Triana-Moreno Chie Tsutsumi Hanna Tuomisto IvAn A. Valdespino Alejandra Vasco Raquel Stauffer Viveros Alan Weakley Ran Wei Stina Weststrand Paul G. Wolf George Yatskievych Xiao-Gang Xu Yue-Hong Yan Liang Zhang Xian-Chun Zhang Xin-Mao Zhou | 2016 | Journal of Systematics and Evolution2016，54，6： | 44 |
| 2 | Gene therapeutic approaches to inhibit hepatitis B virus replication显示文摘Acute and chronic hepatitis B virus(HBV) infections remain to present a major global health problem. The infection can be associated with acute symptomatic or asymptomatic hepatitis which can cause chronic inflammation of the liver and over years this can lead to cirrhosis and the development of hepatocellularcarcinomas. Currently available therapeutics for chronically infected individuals aim at reducing viral replication and to slow down or stop the progression of the disease. Therefore, novel treatment options are needed to efficiently combat and eradicate this disease. Here we provide a state of the art overview of gene therapeutic approaches to inhibit HBV replication. We discuss non-viral and viral approaches which were explored to deliver therapeutic nucleic acids aiming at reducing HBV replication. Types of delivered therapeutic nucleic acids which were studied since many years include antisense oligodeoxynucleotides and antisense RNA, ribozymes and DNAzymes, RNA interference, and external guide sequences. More recently designer nucleases gained increased attention and were exploited to destroy the HBV genome. In addition we mention other strategies to reduce HBV replication based on delivery of DNA encoding dominant negative mutants and DNA vaccination. In combination with available cell culture and animal models for HBV infection, in vitro and in vivo studies can be performed to test efficacy of gene therapeutic approaches. Recent progress but also challenges will be specified and future perspectives will be discussed. This is an exciting time to explore such approaches because recent successes of gene therapeutic strategies in the clinic to treat genetic diseases raise hope to find alternative treatment options for patients chronically infected with HBV. | Maren Gebbing Thorsten Bergmann Eric Schulz Anja Ehrhardt | 2015 | World Journal of Hepatology2015，7，2： | 2 |
| 3 | Polymerisation kinetics of the Fisch- er-Tropseh CO hydrogenation usingiron and 显示文摘 | Eric van Steen Hans Schulz | 1999 | Applied Catalysis A : General1999，186，12： | 1 |
| 4 | Germline Competent Embryonic Stem Cells Derived from Rat Blastocysts显示文摘 | Ping Li Chang Tong Ruty Mehrian-Shai Li Jia Nancy Wu Youzhen Yan Robert E. Maxson Eric N. Schulze Houyan Song Chih-Lin Hsieh Martin F. Pera Qi-Long Ying | 2008 | Cell2008，，7： | 1 |
| 5 | Germline Competent Embryonic Stem Cells Derived from Rat Blastocysts显示文摘 | Ping Li Chang Tong Ruty Mehrian-Shai Li Jia Nancy Wu Youzhen Yan Robert E. Maxson Eric N. Schulze Houyan Song Chih-Lin Hsieh Martin F. Pera Qi-Long Ying | 2008 | Cell2008，，7： | 1 |
| 6 | Core employee based human capital and revenue productivity in small firms: An empirical investigation显示文摘 | Sanjib Chowdhury Eric Schulz Morgan Milner David Van De Voort | 2014 | Journal of Business Research2014，，： | 1 |
| 7 | Firm Productivity Moderated Link Between Human Capital and Compensation: The Significance of Task‐Specific Human Capital显示文摘 | Eric Schulz Sanjib Chowdhury David Van de Voort | 2013 | Hum Resour Manage2013，，3： | 1 |
| 8 | Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology显示文摘BACKGROUND Biliary microlithiasis/sludge is detected in approximately 30%of patients with idiopathic acute pancreatitis(IAP).As recurrent biliary pancreatitis can be prevented,the underlying aetiology of IAP should be established.AIM To develop a machine learning(ML)based decision tool for the use of endosonography(EUS)in pancreatitis patients to detect sludge and microlithiasis.METHODS We retrospectively used routinely recorded clinical and laboratory parameters of 218 consecutive patients with confirmed AP admitted to our tertiary care hospital between 2015 and 2020.Patients who did not receive EUS as part of the diagnostic work-up and whose pancreatitis episode could be adequately explained by other causes than biliary sludge and microlithiasis were excluded.We trained supervised ML classifiers using H_(2)O.ai automatically selecting the best suitable predictor model to predict microlithiasis/sludge.The predictor model was further validated in two independent retrospective cohorts from two tertiary care centers(117 patients).RESULTS Twenty-eight categorized patients’variables recorded at admission were identified to compute the predictor model with an accuracy of 0.84[95%confidence interval(CI):0.791-0.9185],positive predictive value of 0.84,and negative predictive value of 0.80 in the identification cohort(218 patients).In the validation cohort,the robustness of the prediction model was confirmed with an accuracy of 0.76(95%CI:0.673-0.8347),positive predictive value of 0.76,and negative predictive value of 0.78(117 patients).CONCLUSION We present a robust and validated ML-based predictor model consisting of routinely recorded parameters at admission that can predict biliary sludge and microlithiasis as the cause of AP. | Simon Sirtl Michal Żorniak Eric Hohmann Georg Beyer Miriam Dibos Annika Wandel Veit Phillip Christoph Ammer-Herrmenau Albrecht Neesse Christian Schulz Jörg Schirra Julia Mayerle Ujjwal Mukund Mahajan | 2023 | World Journal of Gastroenterology2023，29，35： | 0 |
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