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MRI介导下前列腺靶向活检:每个MRI病灶需要2个活检核心吗?

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国际医学放射学杂志 2017年第1期 101-102页

作者： l.schimmller M.Quentin D.Blondin F.Dietzel A.Hiester C.Schleich 谢双双 Medical Faculty Department of Diagnostic and Interventional Radiology University Dusseldorf

摘要目的评估进行MR介导下前列腺靶向活检时每个MRI病灶选择少于2个活检核心的可行性。材料与方法回顾性分析290例病人[(66±7.8)岁,中位前列腺特异性抗原

关键词：靶向活检病灶前列腺男生殖器介导 MRI

An explainable AI framework for robust and transparent data-driven wind turbine power curve models

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Energy and AI 2024年第1期15卷 312-327页

作者： Simon letzgus Klaus-Robert Müller Machine learning Group Technische Universitβe BerlinStraβe des 17.Juni 135Berlin10623Germany Berlin Institute for the Foundations of learning and Data Berlin10587Germany Department of Artificial Intelligence Korea UniversitySeoul136-713South Korea Max Planck Institute for Informatics Saarbrücken66123Germany

In recent years,increasingly complex machine learning methods have become state-of-the-art in modelling wind turbine power curves based on operational *** these methods often exhibit superior performance on test sets,they face criticism due to a perceived lack of transparency and concerns about their robustness in dynamic,non-stationary environments encountered by wind *** this work,we address these issues and present a framework that leverages explainable artificial intelligence methods to gain systematic insights into data-driven power curve *** its core,we propose a metric to quantify how well a learned model strategy aligns with the underlying physical principles of the *** novel tool enables model validation beyond the conventional error metrics in an automated *** demonstrate,for instance,its capacity as an indicator for model generalization even when limited data is ***,it facilitates understanding how decisions made during the machine learning development process,such as data selection,pre-processing,or training parameters,affect learned *** a result,we obtain physically more reasonable models,a prerequisite not only for robustness but also for meaningful insights into turbine operation by domain *** latter,we illustrate in the context of wind turbine performance *** summary,the framework aims to guide researchers and practitioners alike toward a more informed selection and utilization of data-driven wind turbine power curve models.

关键词： Explainable AI(XAI) Machine learning Wind energy Wind turbine power curve SCADA Condition monitoring

Wear dependent virtual flow rate sensor for progressing cavity pumps with deformable stator

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Petroleum Science 2024年第2期21卷 1346-1353页

作者： Jens Müller Sebastian leonow Johannes Schulz Christian Hansen Martin Monnigmann Ruhr-Universitat Bochum Universit atsstraûe 150Bochum44801Germany SEEPEX GmbH Scharnh olzstraûe 344Bottrop46240Germany

This contribution presents a novel wear dependent virtual flow rate sensor for single stage single lobe progressing cavity pumps. We study the wear-induced material loss of the pump components and the impact of this material loss on the volumetric efficiency. The results are combined with an established backflow model to implement a backflow calculation procedure that is adaptive to wear. We use a laboratory test setup with a highly abrasive fluid and operate a pump from new to worn condition to validate our approach. The obtained measurement data show that the presented virtual sensor is capable of calculating the flow rate of a pump being subject to wear during its regular operation.

关键词： Backflow Progressing cavity pump Virtual sensor Wear

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Analyzing voting power in decentralized governance:Who controls DAOs?

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Blockchain(Research and Applications) 2024年第3期5卷 123-129页

作者： Robin Fritsch Marino Müller Roger Wattenhofer ETH Zurich 8092ZurichSwitzerland

We empirically study the state of three prominent DAO governance systems on the Ethereum blockchain:Compound,Uniswap and Ethereum name service(ENS).In particular,we examine how the voting power is distributed in these *** a comprehensive dataset of all governance token holders,delegates,propos-als,and votes,we analyze who holds the voting power and how this power is being used to influence governance *** we reveal that the majority of voting power is concentrated in the hands of a small number of addresses,we rarely observe these powerful entities overturning a vote by choosing a different outcome than that of the overall community and less influential voters.

关键词： Decentralized autonomous organization DAO governance liquid democracy Blockchain

CO_(2)capture costs of chemical looping combustion of biomass:A comparison of natural and synthetic oxygen carrier

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Journal of Energy Chemistry 2024年第5期92卷 296-310页

作者： Benjamin Fleiß Juraj Priscak Martin Hammerschmid Josef Fuchs Stefan Müller Hermann Hofbauer Institute of Chemical Environmental and Bioscience EngineeringTU WienVienna1060 ViennaAustria BEST–Bioenergy and Sustainable Technologies GmbH Graz8010 StyriaAustria

Chemical looping combustion has the potential to be an efficient and low-cost technology capable of contributing to the reduction of the atmospheric concentration of CO_(2) in order to reach the 1.5/2°C goal and mitigate climate *** this process,a metal oxide is used as oxygen carrier in a dual fluidized bed to generate clean CO_(2) via combustion of *** commonly,natural ores or synthetic materials are used as oxygen carrier whereas both must meet special requirements for the conversion of solid *** oxygen carriers are characterized by higher reactivity at the expense of higher costs versus the lower-cost natural *** determine the viability of both possibilities,a techno-economic comparison of a synthetic material based on manganese,iron,and copper to the natural ore ilmenite was *** synthetic oxygen carrier was characterized and tested in a pilot plant,where high combustion efficiencies up to 98.4%and carbon capture rates up to 98.5%were *** techno-economic assessment resulted in CO_(2) capture costs of 75 and 40€/tCO_(2) for the synthetic and natural ore route respectively,whereas a sensitivity analysis showed the high impact of production costs and attrition rates of the synthetic *** synthetic oxygen carrier could break even with the natural ore in case of lower production costs and attrition rates,which could be reached by adapting the production process and recycling *** comparison to state-of-the-art technologies,it is demonstrated that both routes are viable and the capture cost of CO_(2) could be reduced by implementing the chemical looping combustion technology.

关键词： Chemical looping combustion BECCS Techno-economic assessment CO_(2)capture costs Oxygen carrier development Synthetic materials Ilmenite

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用于前列腺癌诊断的MR序列:基于PI-RADS评分系统和MR靶向引导穿刺活检的验证

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国际医学放射学杂志 2014年第6期 610-610页

作者： l.schimmller M.Quentin C.Arsov A.Hiester C.Buchbender R.Rabenalt 刘代洪 Department of Diagnostic and Interventional Radiology University DusseldorfMedical FacultyMoorenstr.540255 DusseldorfGermany

摘要目的基于欧洲泌尿生殖放射学会(ESUR)评分系统(即前列腺影像报告和数据系统,PI-RADS),本研究采用MR引导穿刺前列腺活检作为参考标准,评估3 T MR T2加权

关键词：前列腺癌曲线下面积外周带 PI-RADS MR 穿刺活检评分系统靶向序列

Identifying the validity domain of machine learning models in building energy systems

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Energy and AI 2024年第1期15卷 328-341页

作者： Martin Rätz Patrick Henkel Phillip Stoffel Rita Streblow Dirk Müller RWTH Aachen University E.ON Energy Research CenterInstitute for Energy Efficient Buildings and Indoor ClimateMathieustraβe 10Aachen52074Germany

The building sector significantly contributes to climate *** improve its carbon footprint,applications like model predictive control and predictive maintenance rely on system ***,the high modeling effort hinders practical *** learning models can significantly reduce this modeling *** ensure a machine learning model’s reliability in all operating states,it is essential to know its validity *** states outside the validity domain might lead to extrapolation,resulting in unpredictable *** paper addresses the challenge of identifying extrapolation in data-driven building energy system models and aims to raise knowledge about *** that,a novel approach is proposed that calibrates novelty detection algorithms towards the machine learning *** novelty detection algorithms are identified through a literature review and a benchmark test with 15 candidates.A subset of five algorithms is then evaluated on building energy ***,on two-dimensional data,displaying the results with a novel visualization *** on more complex multi-dimensional use *** methodology performs well,and the validity domain could be *** visualization allows for a profound analysis and an improved understanding of the fundamental effects behind a machine learning model’s validity domain and the extrapolation regimes.

关键词： Extrapolation detection Validity domain Novelty detection Machine learning Artificial neural network Data-driven model predictive control Building energy systems

以高b值扩散加权影像上信号强度增高作为检出前列腺恶性病变的预测标志

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国际医学放射学杂志 2014年第2期 190-190页

作者： M.Quentin l.schimmller G.Antoch R.Rabenalt G.Antoch P.Albers D.Blondin 余晓 Department of Diagnostic and Interventional Radiology University Dusseldorf Medical Faculty Moorenstr5 40225 DusseldorfGermany

目的评估前列腺MRI中高b值扩散加权影像上高信号灶作为提示恶性病灶标志的价值。方法回顾性研究连续103例行前列腺MR检查及MR引导下穿刺活检的病

关键词：前列腺癌 MRI 扩散加权成像高b值 PI-RADS

Alexa,let's train now!——A systematic review and classification approach to digital and home-based physical training interventions aiming to support healthy cognitive aging

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Journal of Sport and Health Science 2024年第1期13卷 30-46页

作者： Fabian Herold Paula Theobald Thomas Gronwald Navin Kaushal liye Zou Eling D.de Bruin louis Bherer Notger GMüller Research Group Degenerative and Chronic Diseases MovementFaculty of Health Sciences BrandenburgUniversity of PotsdamPotsdam 14476Germany Body-Brain-Mind laboratory Shenzhen UniversityShenzhen 518060China Institute of Interdisciplinary Exercise Science and Sports Medicine MSH Medical School HamburgHamburg 20457Germany Department of Health Sciences School of Health&Human SciencesIndiana UniversityIndianapolisIN 46202USA Department of Health Sciences and Technology Institute of Human Movement Sciences and SportETH ZurichZurich 8093Switzerland Department of Neurobiology Care Sciencesand SocietyKarolinska InstituteStockholm 17177Sweden Department of Health OST-Eastern Swiss University of Applied SciencesSt.Gallen 9001Switzerland Montreal Heart Institute MontrealQC H1T 1C8Canada Department of Medicine Universite de MontrealMontrealQC H3T 1J4Canada Centre de Recherche de l'Institut Universitaire de Geriatrie de Montreal MontrealQC H3W 1W5Canada

Background:There is mounting evidence that regular physical activity is an important prerequisite for healthy cognitive ***,the finding that almost one-third of the adult population does not reach the recommended level of regular physical activity calls for further public health *** this context,digital and home-based physical training interventions might be a promising alternative to center-based intervention ***,this systematic review aimed to summarize the current state of the literature on the effects of digital and home-based physical training interventions on adult cognitive ***:In this pre-registered systematic review(PROSPERO;ID:CRD42022320031),5 electronic databases(PubMed,Web of Science,Psyclnfo,SPORTDiscus,and Cochrane library)were searched by 2 independent researchers(FH and PT)to identify eligible studies investigating the effects of digital and home-based physical training interventions on cognitive performance in *** systematic literature search yielded 8258 records(extra17 records from other sources),of which 27 controlled trials were considered *** reviewers(FH and PT)independently extracted data and assessed the risk of bias using a modified version of the Tool for the assEssment of Study qualiTy and reporting in EXercise(TESTEX scale).Results:Of the 27 reviewed studies,15 reported positive effects on cognitive and motor-cognitive outcomes(i.e.,performance improvements in measures of executive functions,working memory,and choice stepping reaction test),and a considerable heterogeneity concerning study-related,population-related,and intervention-related characteristics was noticed.A more detailed analysis suggests that,in particular,interventions using online classes and technology-based exercise devices(i.e.,step-based exergames)can improve cognitive performance in healthy older *** one-half of the reviewed studies were rated as having a high risk of bias with respect

关键词： Brain Cognition Digital health Exercise-cognition Physical activity

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