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Erratum to Planar adaptive network-on-chip supporting deadlock-free and efficient tree-based multicast routing method Microprocessors and Microsystems (2012) 449–461

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Microprocessors and Microsystems 2012年第6期36卷 527-527页

作者： Faizal Arya Samman Thomas Hollstein Manfred Glesner Technische Universität Darmstadt Fachbereich Elektrotechnik und Informationstechnik Research Group on Microelectronic Systems Merckstr. 25 D-64283 Darmstadt Germany Fraunhofer Institute LBF LOEWE-Zentrum AdRIA Bartningstr. 53 D-64289 Darmstadt Germany Universitas Hasanuddin Jurusan Teknik Elektro Jl. Perintis Kemerdekaan Km. 10 Makassar 90245 Indonesia Tallin University of Technology Department of Computer Engineering Dependable Embedded Systems Group Raja 15 12618 Tallinn Estonia

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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv

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arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

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High-power CEP-stable few-cycle fiber lasers

High-power CEP-stable few-cycle fiber lasers

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Conference on Lasers and Electro-Optics Europe

作者： T. Eidam F. Just S. Hadrich E. Shestaev N. C. Becker A. Klenke M. Kienel M. Muller T. Gottschall D. Hoff A. Drozdy P. Jojart A. Szabo Z. Varallyay K. Osvay G. G. Paulus A. Tunnermann J. Limpert Active Fiber Systems GmbH Wildenbruchstr. 15 07745 Jena Germany Friedrich-Schiller-Universität Jena Abbe Center of Photonics Institute of Applied Physics Albert-Einstein-Straße 15 07745 Jena Helmholtz-Institute Jena Fröbelstieg 3 07743 Jena Friedrich-Schiller-Universität Jena Institut für Optik und Quantenelektronik Max-Wien-Platz 1 07743 Jena Germany ELI-ALPS ELI-HU Non-Profit Ltd. H-6720 Szeged Dugonics tér 13 Hungary Fraunhofer Institute for Applied Optics and Precision Engineering Albert-Einstein-Straße 7 07745 Jena

ISBN: (纸本)9781509067374

Today, carrier-envelope-phase (CEP) stable laser pulses have become a versatile tool for a plethora of scientific applications. Many years their generation relied on either optical parametric amplification or the use of titanium-sapphire amplifiers. Although impressive results have been achieved using these technologies [1,2], their main drawback is the restricted average power (and therewith repetition rate for a given energy) due to thermo-optical limitations. Here we report on another approach, the nonlinear compression of ultrafast ytterbium-based high-power fiber lasers [3]. The first commercially available source employing this technology is the HR1 laser constructed for the ELI-ALPS research facility in Szeged, Hungary. The Extreme Light Infrastructure (ELI) is currently being installed in several European countries aiming to provide unique user facilities with beyond state-of-the-art laser systems. The attosecond facility ELI-ALPS in Szeged, for example, will host several laser systems that will be used for attosecond pulse generation at unprecedented pulse parameters (energy and repetition rate). One of these laser systems is the HR1 (high repetition rate) laser that targets pulse parameters of 1mJ, 6fs pulses at 100kHz repetition rate (100W average power) and with CEP stable operation in its first implementation phase.

关键词： Attosecond pulses Fiber lasers High power fiber lasers High power lasers Laser systems Pulse generation

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Three-dimensional imaging of microstructural evolution in SEM-based nano-CT

Tomography of Materials and Structures

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Tomography of Materials and Structures 2023年 2卷

作者： Jonas Fell Christoph Pauly Michael Maisl Simon Zabler Frank Mücklich Hans-Georg Herrmann Lightweight Systems Saarland University Campus E3 1 66123 Saarbrücken Germany Functional Materials Saarland University Campus D3 3 66123 Saarbrücken Germany Fraunhofer Institute for Nondestructive Testing IZFP Campus E3 1 66123 Saarbrücken Germany Fraunhofer Development Center X-ray Technology EZRT Josef-Martin-Weg 63 97074 Würzburg Germany Material Engineering Center Saarland MECS Campus D3 3 66123 Saarbrücken Germany

Scanning electron microscopy (SEM) is a powerful and versatile technique for materials characterization and present in many laboratories. The integration of an X-ray target holder and detector allows expanding the modalities of SEM by X-ray imaging. These little hardware adaptations enable radiography or X-ray computed tomography (CT) to gain three-dimensional (3D) information about a sample to be investigated. Since SEM-based CT is a non-destructive technique, the method can also image time-dependent changes in microstructure. Presented is the ability of SEM-based nano-CT to image the microstructural evolution of an aluminum-germanium (AlGe32) alloy as a result of annealing. First, the non-destructive CT method is used for an overview scan to identify a hidden region of interest (ROI) in the sample volume at low resolution. The following FIB target preparation reveals the microstructure, which is stepwise annealed and investigated with SEM-based nano-CT at high resolution afterwards. The resulting reconstructed volumes gained from the laboratory-based system are visualized in 3D and show the morphology changes of microstructure. Quantitative analysis reveals grain coarsening and the formation of precipitations in the size of 300–1000 nm. These time-dependent processes are additionally correlated with hardness measurements of the Al alloy.

关键词： SEM-based nano-CT X-ray tomography Microstructural evolution Al alloy Correlative microscopy X-ray imaging

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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

arXiv

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arXiv 2021年

作者： Hering, Alessa Hansen, Lasse Mok, Tony C.W. Chung, Albert C.S. Siebert, Hanna Häger, Stephanie Lange, Annkristin Kuckertz, Sven Heldmann, Stefan Shao, Wei Vesal, Sulaiman Rusu, Mirabela Sonn, Geoffrey Estienne, Théo Vakalopoulou, Maria Han, Luyi Huang, Yunzhi Yap, Pew-Thian Brudfors, Mikael Balbastre, Yaël Joutard, Samuel Modat, Marc Lifshitz, Gal Raviv, Dan Lv, Jinxin Li, Qiang Jaouen, Vincent Visvikis, Dimitris Fourcade, Constance Rubeaux, Mathieu Pan, Wentao Xu, Zhe Jian, Bailiang De Benetti, Francesca Wodzinski, Marek Gunnarsson, Niklas Sjölund, Jens Grzech, Daniel Qiu, Huaqi Li, Zeju Thorley, Alexander Duan, Jinming Großbröhmer, Christoph Hoopes, Andrew Reinertsen, Ingerid Xiao, Yiming Landman, Bennett Huo, Yuankai Murphy, Keelin Lessmann, Nikolas van Ginneken, Bram Dalca, Adrian V. Heinrich, Mattias P. Institute of Medical Informatics Universität zu Lübeck Ratzeburger Allee 160 Lübeck23562 Germany Fraunhofer MEVIS Institute for Digital Medicine Lübeck23562 Germany Department of Radiology and Nuclear Medicine Radboud University Medical Center GA Nijmegen6525 Netherlands The Institute of Medical Informatics Universität zu Lübeck Lübeck23562 Germany The Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong The Fraunhofer MEVIS Institute for Digital Medicine Lübeck23562 Germany The Department of Radiology Stanford University StanfordCA94305 United States The Department of Urology Stanford University StanfordCA94305 United States The Université Paris-Saclay CentraleSupélec Mathématiques et Informatique pour la Complexité et les Systèmes Inria Saclay Gif-sur-Yvette 91190 France Université Paris-Saclay Institut Gustave Roussy Inserm Radiothérapie Moléculaire et Innovation Thérapeutique Villejuif94800 France The Université Paris-Saclay CentraleSupélec Mathématiques et Informatique pour la Complexité et les Systèmes Inria Saclay Gif-sur-Yvette91190 France The Department of Radiology and Nuclear Medicine Radboud University Medical Center Nijmegen6525 GA Netherlands The School of Automation Nanjing University of Information Science and Technology Nanjing210044 China The School of Biomedical Engineering and Imaging Sciences King’s College London London United Kingdom The Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital United States Harvard Medical School Boston United States The King’s College London United Kingdom The Tel Aviv University The Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology Hubei Wuhan430074 China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical Engineering School of Engineering Sciences Huazhong University of Sci

Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches on a wide range of clinically relevant tasks. This limits the development of registration methods, the adoption of research advances into practice, and a fair benchmark across competing approaches. The Learn2Reg challenge addresses these limitations by providing a multi-task medical image registration data set for comprehensive characterisation of deformable registration algorithms. A continuous evaluation will be possible at https://***. Learn2Reg covers a wide range of anatomies (brain, abdomen, and thorax), modalities (ultrasound, CT, MR), availability of annotations, as well as intra- and inter-patient registration evaluation. We established an easily accessible framework for training and validation of 3D registration methods, which enabled the compilation of results of over 65 individual method submissions from more than 20 unique teams. We used a complementary set of metrics, including robustness, accuracy, plausibility, and runtime, enabling unique insight into the current state-of-the-art of medical image registration. This paper describes datasets, tasks, evaluation methods and results of the challenge, as well as results of further analysis of transferability to new datasets, the importance of label supervision, and resulting bias. While no single approach worked best across all tasks, many methodological aspects could be identified that push the performance of medical image registration to new state-of-the-art performance. Furthermore, we demystified the common belief that conventional registration methods have to be much slower than deep-learning-based methods. © 2021, CC BY.

关键词： Image registration

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A facile spray-pressing synthesis approach for reusable photothermal masks

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iScience 2023年第8期26卷 107286页

作者： Yi Lu Yi-Xuan Liu Yong Wang Robert Oestreich Zi-Yan Xu Wen Zhang Philipp Hügenell Christoph Janiak Xiao-Yu Yang Hoffmann Institute of Advanced Materials Shenzhen Polytechnic 7098 Liuxian Boulevard Nanshan District Shenzhen 518055 China. Institut für Anorganische Chemie und Strukturchemie Heinrich-Heine-Universität Düsseldorf Universitätsstraße 1 40225 Düsseldorf Germany. School of Chemical Engineering and Technology Sun Yat-sen University Zhuhai 519082 China. State Key Laboratory of Advanced Technology for Materials Synthesis and Processing & Shenzhen Research Institute Wuhan University of Technology Wuhan 430070 China. Division Thermal Systems and Buildings Fraunhofer Institute for Solar Energy Systems ISE Heidenhofstraße 2 Freiburg 79110 Germany.

Certain types of face masks are highly efficient in protecting humans from bacterial and viral pathogens, and growing concerns with high safety, low cost, and wide market suitability have accelerated the replacement of reusable face masks with disposable ones during the last decades. However, wearing these masks creates countless problems associated with personnel comfort as well as more significant issues related to the cost of fabrication, the generation of medical waste, and environmental contaminants. In this work, we present a facile spray-pressing technique for the production of P-masks with a potential scale-up prospect by adding a graphene layer on one side of meltblown fabric and a functional layer on the other side. In principle, this technique could be easily integrated into the present automatic mask production process and the masks have self-cleaning and/or self-sterilizing properties when it is exposed to solar or simulated solar irradiation.

关键词： Applied sciences Materials synthesis Nanotechnology fabrication

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Molecular engineering of Conjugated Acetylenic Polymers for Efficient Cocatalyst‐free Photoelectrochemical Water Reduction

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Angewandte Chemie 2019年第30期131卷

作者： Hanjun Sun Ibrahim Halil Öner Tao Wang Tao Zhang Oleksandr Selyshchev Christof Neumann Yubin Fu Zhongquan Liao Shunqi Xu Yang Hou Andrey Turchanin Dietrich R. T. Zahn Ehrenfried Zschech Inez M. Weidinger Jian Zhang Xinliang Feng Center for Advancing Electronics Dresden (cfaed) and Department of Chemistry and Food Chemistry Dresden University of Technology Mommsenstrasse 4 01062 Dresden Germany Chair of Electrochemistry Dresden University of Technology 01062 Dresden Germany SUNCAT Center for Interface Science and Catalysis Department of Chemical Engineering Stanford University Stanford CA 94305 USA Semiconductor Physics Chemnitz University of Technology 09126 Chemnitz Germany Institute of Physical Chemistry and Center for Energy and Environmental Chemistry Jena (CEEC Jena) Friedrich Schiller University Jena Lessingstrasse 10 07743 Jena Germany Fraunhofer Institute for Ceramic Technologies and Systems (IKTS) Maria-Reiche-Strasse 2 01109 Dresden Germany Key Laboratory of Biological Engineering of Ministry of Education College of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China Department of Applied Chemistry School of Applied and Natural Sciences Northwestern Polytechnical University Xi'an 710129 P. R. China

Conjugated polymers featuring tunable band gaps/positions and tailored active centers, are attractive photoelectrode materials for water splitting. However, their exploration falls far behind their inorganic counterparts. Herein, we demonstrate a molecular engineering strategy for the tailoring aromatic units of conjugated acetylenic polymers from benzene‐ to thiophene‐based. The polarized thiophene‐based monomers of conjugated acetylenic polymers can largely extend the light absorption and promote charge separation/transport. The C≡C bonds are activated for catalyzing water reduction. Using on‐surface Glaser polycondensation, as‐fabricated poly(2,5‐diethynylthieno[3,2‐b]thiophene) on commercial Cu foam exhibits a record H 2 ‐evolution photocurrent density of 370 μA cm −2 at 0.3 V vs. reversible hydrogen electrode among current cocatalyst‐free organic photocathodes (1–100 μA cm −2 ). This approach to modulate the optical, charge transfer, and catalytic properties of conjugated polymers paves a critical way toward high‐activity organic photoelectrodes.

关键词： Cokatalysatorfreie Photokathoden Glaser-Polykondensation Konjugierte Polymere Molekulares engineering Wasserstoffentwicklung

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TiO2Nanotubes: Nitrogen‐Ion Implantation at Low Dose Provides Noble‐Metal‐Free Photocatalytic H2‐Evolution Activity

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Angewandte Chemie 2016年第11期128卷

作者： Xuemei Zhou Volker Häublein Ning Liu Nhat Truong Nguyen Eva M. Zolnhofer Hiroaki Tsuchiya Manuela S. Killian Karsten Meyer Lothar Frey Patrik Schmuki Department of Materials Science WW-4 LKO University of Erlangen-Nuremberg Martensstrasse 7 91058 Erlangen Germany Fraunhofer Institute for Integrated Systems and Device Technology IISB Schottkystrasse 10 91058 Erlangen Germany Department of Chemistry and Pharmacy Inorganic Chemistry Friedrich-Alexander University Erlangen-Nürnberg (FAU) Egerlandstrasse 1 91058 Erlangen Germany Division of Materials and Manufacturing Science Graduate School of Engineering Osaka University 2-1 Yamada-oka Suita Osaka 565–0871 Japan

Low‐dose nitrogen implantation induces an ion and damage profile in TiO 2 nanotubes that leads to “co‐catalytic” activity for photocatalytic H 2 ‐evolution (without the use of any noble metal). Ion implantation with adequate parameters creates this active zone limited to the top part of the tubes. The coupling of this top layer and the underlying non‐implanted part of the nanotubes additionally contributes to an efficient carrier separation and thus to a significantly enhanced H 2 generation.

关键词： H2-Entwicklung Ionenimplantierung Photokatalyse Stickstoff TiO2-Nanoröhren

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SHORT COMMUNICATION: Solar cell efficiency tables (version 25)

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Progress in Photovoltaics: Research and Applications 2005年第1期13卷

作者： Martin A. Green Keith Emery David L. King Sanekazu Igari Wilhelm Warta Centre for Photovoltaic Engineering University of New South Wales Sydney 2052 Australia National Renewable Energy Laboratory 1617 Cole Boulevard Golden CO 80401 USA Sandia National Laboratories 1515 Eubank Boulevard SE Albuquerque NM 87123-0752 USA National Institute of Advanced Industrial Science and Technology (AIST) Research Center for Photovoltaics (RCPV) Central 2 Umezono 1-1-1 Tsukuba Ibaraki Japan Fraunhofer-Institute for Solar Energy Systems Department: Solar Cells—Materials and Technology Heidenhofstr. 2 D-79110 Freiburg Germany

Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined and ne... 详细信息

关键词： solar cell efficiency photovoltaic efficiency energy conversion efficiency

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OS02-03 Using a systems biology approach to construct adverse outcome pathway networks aligned with the FAIR principles

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Toxicology Letters 2024年 399卷 S58-S58页

作者： L. Ladeira A. Mazein M. Ostaszewski A. Verhoeven E. Kuchovská J. Sanz-Serrano A. Drees K. Reiche K. Sewald E. Fritsche M. Vinken L. Geris B. Staumont University of Liège GIGA Molecular & Computational Biology Liège Belgium University of Luxembourg Luxembourg Centre for Systems Biomedicine Belvaux Luxembourg ELIXIR Luxembourg Belvaux Luxembourg Vrije Universiteit Brussel IVTD research group Brussels Belgium IUF – Leibniz Research Institute for Environmental Medicine Dusseldorf Germany Fraunhofer Institute for Cell Therapy and Immunology Department of Diagnostics Leipzig Germany Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig Germany University Hospital University of Leipzig Institute of Clinical Immunology Medical Faculty Leipzig Germany DNTOX Dusseldorf Germany Swiss Centre for Applied Human Toxicology Basel Switzerland KU Leuven Skeletal Biology and Engineering Research Center Leuven Belgium KU Leuven Biomechanics Section Department of Mechanical Engineering Leuven Belgium

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