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| 1 | A Novel Line Immunoassay Based on Recombinant Virulence Factors Enables Highly Specific and Sensitive Serologic Diagnosis of Helicobacter pylori Infection显示文摘 | Luca Formichella Laura Romberg Christian Bolz Michael Vieth Michael Geppert Gereon G?ttner Christina N?lting Dirk Walter Wolfgang Schepp Arne Schneider Kurt Ulm Petra Wolf Dirk H. Busch Erwin Soutschek Markus Gerhard | 2013 | Clinical and Vaccine Immunology2013，，11： | 2 |
| 2 | Evaluation of C-Reactive Protein Measurement for Assessing the Risk and Prognosis in Ischemic Stroke: A Statement for Health Care Professionals From the CRP Pooling Project Members显示文摘 | Mario Di Napoli Markus Schwaninger Roberto Cappelli Elena Ceccarelli Giacinto Di Gianfilippo Cristina Donati Hedley C.A. Emsley Sandro Forconi Stephen J. Hopkins Luca Masotti Keith W. Muir Anna Paciucci Francesca Papa Sabina Roncacci Dirk Sander Kerstin S | 2005 | Stroke2005，，6： | 2 |
| 3 | Effect of an Electromagnetic Brake on the Turbulent Melt Flow in a Continuous-Casting Mold显示文摘 | Xincheng Miao Klaus Timmel Dirk Lucas Zhongmin Ren Sven Eckert Gunter Gerbeth | 2012 | Metallurgical and Materials Transactions B2012，，4： | 2 |
| 4 | Biomechanical testing and degradation analysis of MgCa0.8 alloy screws: A comparative in vivo study in rabbits显示文摘 | Nina Erdmann Nina Angrisani Janin Reifenrath Arne Lucas Fritz Thorey Dirk Bormann Andrea Meyer-Lindenberg | 2010 | Acta Biomaterialia2010，，3： | 1 |
| 5 | Addressing the Role of microRNAs in Reprogramming Leaf Growth during Drought Stress in Brachypodium distachyon显示文摘对干旱的植物回答被基因的建筑群调整, epigenetic 联网导致植物生长的快速的 reprogramming。miRNAs 广泛地在生长和开发的规定作为关键播放器被显示了。在干旱反应的 miRNAs 的角色在 Brachypodium distachyon 的年轻叶子被调查,干旱容忍的 monocot 模型种。采用一在里面 vivo 干旱试金,出现在叶尺寸引起戏剧的减小主要由于减少的细胞扩大,小 RNA 图书馆从增殖并且扩展叶细胞被生产。下一代的定序数据用允许 66 注解 miRNA 基因和极大地扩展已知的 Brachypodium miRNAs 的数字的 122 新高信心预言的鉴定的一条内部生物信息学管道被分析。另外,我们识别了四 TAS3 loci 和显示出建议他们可以代表年轻 miRNA 基因的特征的很多生产 siRNA loci。大多数 miRNAs 显示出高表示水平,与他们在早叶开发和房间身份的参与一致。增殖并且膨胀的叶细胞对干旱处理不同地作出回应,微分表示分析为 miRNA 建议新奇证据处于正常、强调的条件的规章的网络控制细胞分割并且证明那干旱触发 miRNAs 深深地涉及的叶生长的基因 reprogramming。 | Edoardo Bertolini Wim Verelst David Stephen Horner Luca Gianfranceschi Viviana Piccolo Dirk Iné Mario Enrico Pè Erica Mica | 2013 | Molecular Plant2013，6，2： | 1 |
| 6 | EAU Guidelines on Surgical Treatment of Urinary Incontinence显示文摘 | Malcolm G. Lucas Ruud J.L. Bosch Fiona C. Burkhard Francisco Cruz Thomas B. Madden Arjun K. Nambiar Andreas Neisius Dirk J.M.K. de Ridder Andrea Tubaro William H. Turner Robert S. Pickard | 2012 | European Urology2012，，6： | 1 |
| 7 | RANS (Reynolds Averaged Navier-Stokes) and LES (Large Eddy Simulations) of the Air-Water TOPFLOW-PTS Experiment显示文摘 | Bojan Niceno Tilo Lumpp Pavel Apanasevich Dirk Lucas | 2013 | Journal of Energy and Power Engineering2013，7，7： | 0 |
| 8 | Innovative Analysis Ready Data(ARD)product and process requirements,software system design,algorithms and implementation at the midstream as necessary-but-notsuffcient precondition of the downstream in a new notion of Space Economy 4.0-Part 1:Problem background in Artificial General Intelligence(AGl显示文摘Aiming at the convergence between Earth observation(EO)Big Data and Artificial General Intelligence(AGI),this two-part paper identifies an innovative,but realistic EO optical sensory imagederived semantics-enriched Analysis Ready Data(ARD)productpair and process gold standard as linchpin for success of a new notion of Space Economy 4.0.To be implemented in operational mode at the space segment and/or midstream segment by both public and private EO big data providers,it is regarded as necessarybut-not-sufficient“horizontal”(enabling)precondition for:(I)Transforming existing EO big raster-based data cubes at the midstream segment,typically affected by the so-called data-rich information-poor syndrome,into a new generation of semanticsenabled EO big raster-based numerical data and vector-based categorical(symbolic,semi-symbolic or subsymbolic)information cube management systems,eligible for semantic content-based image retrieval and semantics-enabled information/knowledge discovery.(II)Boosting the downstream segment in the development of an ever-increasing ensemble of“vertical”(deep and narrow,user-specific and domain-dependent)value–adding information products and services,suitable for a potentially huge worldwide market of institutional and private end-users of space technology.For the sake of readability,this paper consists of two parts.In the present Part 1,first,background notions in the remote sensing metascience domain are critically revised for harmonization across the multidisciplinary domain of cognitive science.In short,keyword“information”is disambiguated into the two complementary notions of quantitative/unequivocal information-as-thing and qualitative/equivocal/inherently ill-posed information-as-data-interpretation.Moreover,buzzword“artificial intelligence”is disambiguated into the two better-constrained notions of Artificial Narrow Intelligence as part-without-inheritance-of AGI.Second,based on a betterdefined and better-understood vocabulary of multidisciplinary terms,existing EO optical sensory image-derived Level 2/ARD products and processes are investigated at the Marr five levels of understanding of an information processing system.To overcome their drawbacks,an innovative,but realistic EO optical sensory image-derived semantics-enriched ARD product-pair and process gold standard is proposed in the subsequent Part 2. | Andrea Baraldi Luca D.Sapia Dirk Tiede Martin Sudmanns Hannah L.Augustin Stefan Lang | 2023 | Big Earth Data2023，7，3： | 0 |
| 9 | Innovative Analysis Ready Data(ARD)product and process requirements,software system design,algorithms and implementation at the midstream as necessary-but-notsufficient precondition of the downstream in a new notion of Space Economy 4.0-Part 2:Software developments显示文摘Aiming at the convergence between Earth observation(EO)Big Data and Artificial General Intelligence(AGI),this paper consists of two parts.In the previous Part 1,existing EO optical sensory imagederived Level 2/Analysis Ready Data(ARD)products and processes are critically compared,to overcome their lack of harmonization/standardization/interoperability and suitability in a new notion of Space Economy 4.0.In the present Part 2,original contributions comprise,at the Marr five levels of system understanding:(1)an innovative,but realistic EO optical sensory image-derived semantics-enriched ARD co-product pair requirements specification.First,in the pursuit of third-level semantic/ontological interoperability,a novel ARD symbolic(categorical and semantic)co-product,known as Scene Classification Map(SCM),adopts an augmented Cloud versus Not-Cloud taxonomy,whose Not-Cloud class legend complies with the standard fully-nested Land Cover Classification System’s Dichotomous Phase taxonomy proposed by the United Nations Food and Agriculture Organization.Second,a novel ARD subsymbolic numerical co-product,specifically,a panchromatic or multispectral EO image whose dimensionless digital numbers are radiometrically calibrated into a physical unit of radiometric measure,ranging from top-of-atmosphere reflectance to surface reflectance and surface albedo values,in a five-stage radiometric correction sequence.(2)An original ARD process requirements specification.(3)An innovative ARD processing system design(architecture),where stepwise SCM generation and stepwise SCM-conditional EO optical image radiometric correction are alternated in sequence.(4)An original modular hierarchical hybrid(combined deductive and inductive)computer vision subsystem design,provided with feedback loops,where software solutions at the Marr two shallowest levels of system understanding,specifically,algorithm and implementation,are selected from the scientific literature,to benefit from their technology readiness level as proof of feasibility,required in addition to proven suitability.To be implemented in operational mode at the space segment and/or midstream segment by both public and private EO big data providers,the proposed EO optical sensory image-derived semantics-enriched ARD product-pair and process reference standard is highlighted as linchpin for success of a new notion of Space Economy 4.0. | Andrea Baraldi Luca D.Sapia Dirk Tiede Martin Sudmanns Hannah Augustin Stefan Lang | 2023 | Big Earth Data2023，7，3： | 0 |
| 10 | Observation of a single protein by ultrafast X-ray diffraction显示文摘The idea of using ultrashort X-ray pulses to obtain images of single proteins frozen in time has fascinated and inspired many.It was one of the arguments for building X-ray free-electron lasers.According to theory,the extremely intense pulses provide sufficient signal to dispense with using crystals as an amplifier,and the ultrashort pulse duration permits capturing the diffraction data before the sample inevitably explodes.This was first demonstrated on biological samples a decade ago on the giant mimivirus.Since then,a large collaboration has been pushing the limit of the smallest sample that can be imaged.The ability to capture snapshots on the timescale of atomic vibrations,while keeping the sample at room temperature,may allow probing the entire conformational phase space of macromolecules.Here we show the first observation of an X-ray diffraction pattern from a single protein,that of Escherichia coli GroEL which at 14 nm in diameter is the smallest biological sample ever imaged by X-rays,and demonstrate that the concept of diffraction before destruction extends to single proteins.From the pattern,it is possible to determine the approximate orientation of the protein.Our experiment demonstrates the feasibility of ultrafast imaging of single proteins,opening the way to single-molecule time-resolved studies on the femtosecond timescale. | Tomas Ekeberg Dameli Assalauova Johan Bielecki Rebecca Boll Benedikt J.Daurer Lutz A.Eichacker Linda E.Franken Davide E.Galli Luca Gelisio Lars Gumprecht Laura H.Gunn Janos Hajdu Robert Hartmann Dirk Hasse Alexandr Ignatenko Jayanath Koliyadu Olena Kulyk Ruslan Kurta Markus Kuster Wolfgang Lugmayr Jannik Lübke Adrian P.Mancuso Tommaso Mazza Carl Nettelblad Yevheniy Ovcharenko Daniel E.Rivas Max Rose Amit K.Samanta Philipp Schmidt Egor Sobolev Nicusor Timneanu Sergey Usenko Daniel Westphal Tamme Wollweber Lena Worbs Paul Lourdu Xavier Hazem Yousef Kartik Ayyer Henry N.Chapman Jonas A.Sellberg Carolin Seuring Ivan A.Vartanyants Jochen Küpper Michael Meyer Filipe R.N.C.Maia | 2024 | Light(Science & Applications)2024，13，1： | 0 |
| 11 | Numerical Modeling of Turbulent Melt Flow in a Continuous Casting Mold Affected by an Electromagnetic Brake显示文摘The current work combines numerical and experimental investigations based on a small-scale mockup using the eutectic alloy GaInSn.The jet flow discharging from the submerged entry nozzle was exposed perpendicularly to a DC magnetic field across the entire wide face of the mold.Numerical calculations were performed by using the commercial package CFX with an implemented RANS-SST turbulence model.The anisotropic properties of the MHD turbulence were taken into account by specific modifications of the turbulence model.The comparison between our numerical calculations and the experimental results shows a very well agreement.In particular,the modified RANS-SST turbulence model is capable to reconstruct the peculiar phenomenon of the excitation of non-steady,non-isotropic large-scale flow perturbations caused by the application of the DC magnetic field.Another important finding of our study is the feature that the electrical boundary conditions,namely the wall conductivity ratio,have a great impact on the mold flow subjected to an external magnetic field. | MIAO Xin-cheng Timmel Klaus Lucas Dirk REN Zhong-ming Eckert Sven Gerbeth Gunter | 2012 | Journal of Iron and Steel Research(International)2012，19，S2： | 0 |
| 12 | The pseudo-homogeneous flow regime in large-scale bubble columns:experimental benchmark and computational fluid dynamics modeling显示文摘A precise prediction of the fluid dynamics in bubble columns is of fundamental importance to correctly design“industrial-scale”reactors.It is known that the fluid dynamics in bubble columns is related to the prevailing bubble size distribution existing in the systems.In this respect,multiphase computational fluid dynamic simulations,in the Eulerian multi-fluid framework,are able to predict the local bubble size distributions and,thus,the global fluid dynamics from the fluid flow conditions and by applying modeling closured.In particular,in in“industrial-scale”reactors,owing to the large gas sparger openings,the“pseudo-homogeneous”flow regimedcharacterized by a wide spectrum of bubble sizesdis typically observed.Unfortunately,reliable predictions of the“pseudo-homogeneous”flow regime are limited up to now:one important drawback concerns the selection of appropriate models for the coalescence and break-up.A set of closure relations was collected at the Helmholtz-Zentrum Dresden-Rossendorf that represents the best available knowledge.Recently,the authors have extended the validation of this set of closure relations to the“pseudo-homogeneous”flow regime,by comparing the numerical predictions to a comprehensive experimental dataset(gas holdup,bubble size distributions and local flow measurements).Unfortunately,the previous study suffers from some limitations;in particular,in the previous experimental dataset,the bubble size distributions concerned only one axial position and a detailed characterization of the gas sparger was missing.This study contributes to the existing discussion and proposed a step ahead in the study of the“pseudo-homogenous”flow regime.To this end,we propose an experimental study,to improve the comprehensive dataset previously obtained.The novel datasetdobtained for two gas velocitiesdconcerns bubble size distributions at different axial and radial positions and a precise characterization of the gas sparger.The comprehensive bubble size distribution dataset may serve as basis to improve the coalescence and break-up closures;conversely,the precise characterization of the gas sparger served as an improved input to the numerical simulations.The numerical results,with two different lift force implementations,have been compared with the whole dataset and have been critically analyzed.Reasons for the discrepancies between the numerical results and the experimental data have been identified and may serve as basis for future studies. | Giorgio Besagni Fabio Inzoli Thomas Ziegenhein Dirk Lucas | 2019 | Petroleum2019，5，2： | 0 |
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