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The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

arXiv

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arXiv 2021年

作者： Baheti, Bhakti Chakrabarty, Satrajit Akbari, Hamed Bilello, Michel Wiestler, Benedikt Schwarting, Julian Calabrese, Evan Rudie, Jeffrey Abidi, Syed Mousa, Mina Villanueva-Meyer, Javier Fields, Brandon K.K. Kofler, Florian Shinohara, Russell Takeshi Iglesias, Juan Eugenio Mok, Tony C.W. Chung, Albert C.S. Wodzinski, Marek Jurgas, Artur Marini, Niccolò Atzori, Manfredo Müller, Henning Grosbröhmer, Christoph Siebert, Hanna Hansen, Lasse Heinrich, Mattias P. Canalini, Luca Klein, Jan Gerken, Annika Heldmann, Stefan Hering, Alessa Hahn, Horst K. Meng, Mingyuan Bi, Lei Feng, Dagan Kim, Jinman Zeineldinal, Ramy A. Karar, Mohamed E. Mathis-Ullrich, Franziska Burgert, Oliver Abderezaei, Javid Pionteck, Aymeric Chopra, Agamdeep Kurt, Mehmet Yan, Kewei Yan, Yonghong Tang, Zhe Ma, Jianqiang Nasser, Sahar Almahfouz Kurian, Nikhil Cherian Meena, Mohit Shamsi, Saqib Sethi, Amit Tustison, Nicholas J. Avants, Brian B. Cook, Philip Gee, James C. Tian, Lin Greer, Hastings Niethammer, Marc Hoopesar, Andrew Hoffmannas, Malte Dalcaar, Adrian V. Christodoulidis, Stergios Estiene, Théo Vakalopoulou, Maria Paragios, Nikos Marcus, Daniel S. Davatzikos, Christos Sotiras, Aristeidis Menze, Bjoern Bakas, Spyridon Waldmannstetter, Diana Division of Computational Pathology Department of Pathology and Laboratory Medicine Indiana University School of Medicine IndianapolisIN United States Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO United States GE HealthCare San RamonCA United States University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Mallinckrodt Institute of Radiology Washington University School of Medicine St. LouisMO United States Institute for Informatics Data Science & Biostatistics Washington University School of Medicine St. LouisMO United States Department of Bioengineering Santa Clara University Santa ClaraCA United States Department of Quantitative Biomedicine University of Zurich Zurich Switzerland Department of Computer Science TUM School of Computation Information and Technology Technical University of Munich Munich Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum rechts der Isar Technical University of Munich Munich Germany Department of Nuclear Medicine University Hospital Regensburg Regensburg Germany University Hospital Regensburg Regensburg Germany Department of Radiology & Biomedical Imaging University of California San FranciscoCA United States Department of Radiology Duke University Medical Center DurhamNC United States Department of Radiology University of California San DiegoCA United States Helmholtz AI Helmholtz Munich Neuherberg Germany Penn Statistics in Imaging and Visualization Center Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Philadelphia United States Massachusetts General Hospital Harvard Medical School United States Centre for Medical Imaging Computing University College London United Kingdom The Hong Kong University of Science and Technology Hong Kong University of Applied Sciences West

Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been considerable progress in developing general-purpose medical image registration techniques, they have not yet attained the requisite precision and reliability for this task, highlighting its inherent complexity. Here we describe the Brain Tumor Sequence Registration (BraTS-Reg) challenge, as the first public benchmark environment for deformable registration algorithms focusing on estimating correspondences between pre-operative and follow-up scans of the same patient diagnosed with a diffuse brain glioma. The challenge was conducted in conjunction with both the IEEE International Symposium on Biomedical Imaging (ISBI) 2022 and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2022. The BraTS-Reg data comprise de-identified multi-institutional multi-parametric MRI (mpMRI) scans, curated for size and resolution according to a canonical anatomical template, and divided into training, validation, and testing sets. Clinical experts annotated ground truth (GT) landmark points of anatomical locations distinct across the temporal domain. The training data with their GT annotations, were publicly released to enable the development of registration algorithms. The validation data, without their GT annotations, were also released to allow for algorithmic evaluation prior to the testing phase, which only allowed submission of containerized algorithms for evaluation on hidden hold-out testing data. Quantitative evaluation and ranking was based on the Median Euclidean Error (MEE), Robustness, and the determinant of the Jacobian of the displacement field. The top-ranked methodologies yielded similar performance across all evaluation metrics and shared several methodological commonalities, including pre-alignment, deep neural networks, inverse consistency

关键词： Magnetic resonance imaging

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Why is the Winner the Best?

Why is the Winner the Best?

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： M. Eisenmann A. Reinke V. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali V. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella V. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble V. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño V. Singh Bawa S. Speidel C. H. Sudre K. Van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. Vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multicenter study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and post-processing (66%). The “typical” lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work.

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Cover Feature: Spruce Hard Carbon Anodes for Lithium-Ion Batteries (ChemElectroChem 24/2021)

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ChemElectroChem 2021年第24期8卷

作者： Mathias Drews Jan Büttner Manuel Bauer Junaid Ahmed Dr. Rajib Sahu Prof. Christina Scheu Dr. Severin Vierrath Prof. Anna Fischer Dr. Daniel Biro Fraunhofer Institute for Solar Energy Systems ISE Heidenhofstraße 2 79110 Freiburg Germany Institute for Inorganic and Analytical Chemistry University of Freiburg Albertstraße 21 79104 Freiburg Germany Freiburg Center for Interactive Materials and Bioinspired Technologies FIT University of Freiburg Georges-Köhler-Allee 105 79110 Freiburg Germany Cluster of Excellence livMatS University of Freiburg 79104 Freiburg Germany Max Planck Institute for Iron Research Max-Planck-Straße 1 40237 Düsseldorf Germany Materials Analytics RWTH University of Aachen Kopernikusstraße 10 52074 Aachen Germany Electrochemical Energy Systems IMTEK - Department of Microsystems Engineering University of Freiburg Georges-Köhler-Allee 103 79110 Freiburg Germany Freiburg Materials Research Center FMF University of Freiburg Stefan-Meier-Straße 21 79104 Freiburg Germany

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Vinylene-Linked 2D Conjugated Covalent Organic Frameworks by Wittig Reactions

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Angewandte Chemie 2022年第49期134卷

作者： Dr. Yannan Liu Shuai Fu Dr. Dominik L. Pastoetter Dr. Arafat Hossain Khan Yingying Zhang Dr. Arezoo Dianat Dr. Shunqi Xu Dr. Zhongquan Liao Dr. Marcus Richter Dr. Minghao Yu Dr. Miroslav Položij Prof. Eike Brunner Prof. Gianaurelio Cuniberti Prof. Thomas Heine Prof. Mischa Bonn Dr. Hai I. Wang Prof. Xinliang Feng Chair of Molecular Functional Materials Center for Advancing Electronics Dresden (cfaed) and Faculty of Chemistry and Food Chemistry Technische Universität Dresden Mommsenstrasse 4 01069 Dresden Germany Max Planck Institute for Polymer Research Ackermannweg 10 55128 Mainz Germany Chair of Bioanalytical Chemistry Technische Universität Dresden 01062 Dresden Germany Faculty of Chemistry and Food Chemistry Technische Universität Dresden Mommsenstrasse 4 01069 Dresden Germany Chair of Material Science and Nanotechnology Faculty of Mechanical Science and Engineering Technische Universität Dresden Dresden Germany Fraunhofer Institute for Ceramic Technologies and Systems (IKTS) 01109 Dresden Germany Department of Synthetic Materials and Functional Devices Max-Planck Institute of Microstructure Physics 06120 Halle Germany

Vinylene-linked two-dimensional covalent organic frameworks (V-2D-COFs) have shown great promise in electronics and optoelectronics. However, only a few reactions for V-2D-COFs have been developed hitherto. Besides the kinetically low reversibility of C=C bond formation, another underlying issue facing the synthesis of V-2D-COFs is the attainment of high ( E )-alkene selectivity to ensure the appropriate symmetry of 2D frameworks. Here, we tailor the E / Z selectivity of the Wittig reaction by employing a proper catalyst (i.e., Cs 2 CO 3 ) to obtain more stable intermediates and elevating the temperature across the reaction barrier. Subsequently, the Wittig reaction is innovatively utilized for the synthesis of four crystalline V-2D-COFs by combining aldehydes and ylides. Importantly, the efficient conjugation and decent crystallinity of the resultant V-2D-COFs are demonstrated by their high charge carrier mobilities over 10 cm 2 V −1 s −1 , as revealed by non-contact terahertz (THz) spectroscopy.

关键词： 2D Conjugated Polymer Terahertz Two-Dimensional Organic Framework Vinylene-Linkage Wittig Reaction

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003年 2816卷 V-VI页

作者： Stiller, Burkhard Carle, Georg Karsten, Martin Reichl, Peter University of Federal Armed Forces Munich UniBwM Information Systems Laboratory IIS Werner-Heisenberg-Weg 39 Neubiberg85577 Germany Computer Engineering and Networks Laboratory TIK Swiss Federal Institute of Technology Zürich ETH Zürich Gloriastr. 35 Zürich8092 Switzerland University of Tübingen Wilhelm-Schickard-Institute for Computer Science Auf der Morgenstelle 10 C Tübingen72076 Germany Fraunhofer Institute FOKUS Kaiserin-Augusta-Allee 31 Berlin19589 Germany University of Waterloo School of Computer Science 200 University Ave W WaterlooONN2L 3G1 Canada Forschungszentrum Wien FTW Donau-City-Str. 1 Wien1220 Austria

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Publisher Correction: Perovskites fabricated on textured silicon surfaces for tandem solar cells

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Communications chemistry 2020年第1期3卷 65页

作者： Sang-Won Lee Soohyun Bae Jae-Keun Hwang Wonkyu Lee Solhee Lee Ji Yeon Hyun Kyungjin Cho Seongtak Kim Friedemann D Heinz Sung Bin Choi Dongjin Choi Dongkyun Kang Jeewoong Yang Sujeong Jeong Se Jin Park Martin C Schubert Stefan Glunz Won Mok Kim Yoonmook Kang Hae-Seok Lee Donghwan Kim Department of Materials Science and Engineering Korea University Seoul 136-713 Republic of Korea. Gangwon Regional Division Korea Institute of Industrial Technology Gangwon-Do 210-340 Republic of Korea. Laboratory for Photovoltaic Energy Conversion Department of Sustainable Systems Engineering (INATECH) University Freiburg Emmy-Noether Strasse 2 79110 Freiburg Germany. Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea. Fraunhofer Institute for Solar Energy Systems ISE Freiburg 79110 Germany. Laboratory for Photovoltaic Energy Conversion University Freiburg Freiburg 79110 Germany. KU·KIST Green School Graduate School of Energy and Environment Korea University Seoul 136-713 Republic of Korea. KU·KIST Green School Graduate School of Energy and Environment Korea University Seoul 136-713 Republic of Korea. lhseok@korea.ac.kr. Department of Materials Science and Engineering Korea University Seoul 136-713 Republic of Korea. solar@korea.ac.kr. KU·KIST Green School Graduate School of Energy and Environment Korea University Seoul 136-713 Republic of Korea. solar@korea.ac.kr.

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Review Article: Recommended reading list of early publications on atomic layer deposition - Outcome of the "virtual Project on the History of ALD"

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Journal of Vacuum Science and Technology A: Vacuum, Surfaces and Films 2017年第1期35卷

作者： Ahvenniemi, Esko Akbashev, Andrew R. Ali, Saima Bechelany, Mikhael Berdova, Maria Boyadjiev, Stefan Cameron, David C. Chen, Rong Chubarov, Mikhail Cremers, Veronique Devi, Anjana Drozd, Viktor Elnikova, Liliya Gottardi, Gloria Grigoras, Kestutis Hausmann, Dennis M. Hwang, Cheol Seong Jen, Shih-Hui Kallio, Tanja Kanervo, Jaana Khmelnitskiy, Ivan Kim, Do Han Klibanov, Lev Koshtyal, Yury Krause, A. Outi I. Kuhs, Jakob Kärkkänen, Irina Kääriäinen, Marja-Leena Kääriäinen, Tommi Lamagna, Luca Lapicki, Adam A. Leskelä, Markku Lipsanen, Harri Lyytinen, Jussi Malkov, Anatoly Malygin, Anatoly Mennad, Abdelkader Militzer, Christian Molarius, Jyrki Norek, Malgorzata Özgit-Akgün, Çaǧla Panov, Mikhail Pedersen, Henrik Piallat, Fabien Popov, Georgi Puurunen, Riikka L. Rampelberg, Geert Ras, Robin H. A. Rauwel, Erwan Roozeboom, Fred Sajavaara, Timo Salami, Hossein Savin, Hele Schneider, Nathanaelle Seidel, Thomas E. Sundqvist, Jonas Suyatin, Dmitry B. Törndahl, Tobias Van Ommen, J. Ruud Wiemer, Claudia Ylivaara, Oili M. E. Yurkevich, Oksana Department of Chemistry Aalto University P.O. Box 16100 EspooFI-00076 Finland Department of Materials Science and Engineering Stanford University StanfordCA94305 United States Department of Materials Science and Engineering Aalto University School of Chemical Technology P.O. Box 16200 AaltoFI-00076 Finland Institut Européen des Membranes IEM UMR-5635 Université de Montpellier ENSCM CNRS Place Eugène Bataillon Montpellier Cedex 5F-34095 France Industrial Focus Group XUV Optics University of Twente Enschede7522 ND Netherlands Institute of Solid State Physics Bulgarian Academy of Sciences 72 Tzarigradsko chaussee blvd. Sofia1784 Bulgaria CEPLANT Masaryk University Kotlářská 267/2 Brno611 37 Czech Republic School of Mechanical Science and Engineering School of Optical and Electronic Information Huazhong University of Science and Technology 1037 Luoyu Road Wuhan Hubei430074 China Univ. Grenoble Alpes CNRS SIMAP GrenobleF-38000 France Department of Solid State Sciences CoCooN Ghent University Krijgslaan 281/S1 Ghent9000 Belgium Inorganic Materials Chemistry Ruhr University Bochum Bochum44801 Germany Institute of Chemistry St.-Petersburg State University Universitetskaya emb. 7/9 St.-Petersburg199034 Russia Institute for Theoretical and Experimental Physics Bolshaya Cheremushkinskaya 25 Moscow117218 Russia Fondazione Bruno Kessler Center for Materials and Microsystems Trento38123 Italy VTTFI-02044 Finland Lam Research Corporation TualatinOR97062 United States Department of Materials Science and Engineering Inter-university Semiconductor Research Center College of Engineering Seoul National University Seoul08826 Korea Republic of Globalfoundries AlbanyNY12203 United States Department of Chemistry School of Chemical Engineering Aalto University P.O. Box 16100 AaltoFI-00076 Finland Åbo Akademi TurkuFI-20500 Finland Research and Education Center Nanotechnology Saint Petersburg Electrotechnical University LETI ul. Professora

Atomic layer deposition (ALD), a gas-phase thin film deposition technique based on repeated, self-terminating gas-solid reactions, has become the method of choice in semiconductor manufacturing and many other technological areas for depositing thin conformal inorganic material layers for various applications. ALD has been discovered and developed independently, at least twice, under different names: atomic layer epitaxy (ALE) and molecular layering. ALE, dating back to 1974 in Finland, has been commonly known as the origin of ALD, while work done since the 1960s in the Soviet Union under the name "molecular layering" (and sometimes other names) has remained much less known. The virtual project on the history of ALD (VPHA) is a volunteer-based effort with open participation, set up to make the early days of ALD more transparent. In VPHA, started in July 2013, the target is to list, read and comment on all early ALD academic and patent literature up to 1986. VPHA has resulted in two essays and several presentations at international conferences. This paper, based on a poster presentation at the 16th International Conference on Atomic Layer Deposition in Dublin, Ireland, 2016, presents a recommended reading list of early ALD publications, created collectively by the VPHA participants through voting. The list contains 22 publications from Finland, Japan, Soviet Union, United Kingdom, and United States. Up to now, a balanced overview regarding the early history of ALD has been missing;the current list is an attempt to remedy this deficiency. © 2016 Author(s).

关键词： Atomic layer deposition

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Combination of Knoevenagel Polycondensation and Water-Assisted Dynamic Michael-Addition-Elimination for the Synthesis of Vinylene-Linked 2D Covalent Organic Frameworks

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Angewandte Chemie 2022年第21期134卷

作者： Dr. Shunqi Xu Dr. Zhongquan Liao Dr. Arezoo Dianat Dr. Sang-Wook Park Dr. Matthew A. Addicoat Dr. Yubin Fu Dominik L. Pastoetter Filippo Giovanni Fabozzi Dr. Yannan Liu Prof. Gianaurelio Cuniberti Dr. Marcus Richter Prof. Stefan Hecht Prof. Xinliang Feng Chair of Molecular Functional Materials Center for Advancing Electronics Dresden (cfaed) and Faculty of Chemistry and Food Chemistry Technische Universität Dresden Mommsenstrasse 4 01069 Dresden Germany Department of Synthetic Materials and Functional Devices Max-Planck Institute of Microstructure Physics 06120 Halle Germany Fraunhofer Institute for Ceramic Technologies and Systems (IKTS) 01109 Dresden Germany Chair of Material Science and Nanotechnology Faculty of Mechanical Science and Engineering Technische Universität Dresden Hallwachstraße 3 01069 Dresden Germany Leibniz-Institute for Polymer Research Dresden e.V. (IPF) 01069 Dresden Germany School of Science and Technology Nottingham Trent University Clifton Lane Nottingham NG11 8NS UK DWI-Leibniz Institute for Interactive Materials & Institute of Technical and Macromolecular Chemistry RWTH Aachen University 52074 Aachen Germany

Vinylene-linked two-dimensional conjugated covalent organic frameworks (V-2D-COFs), belonging to the class of two-dimensional conjugated polymers, have attracted increasing attention due to their extended π-conjugation over the 2D backbones associated with high chemical stability. The Knoevenagel polycondensation has been demonstrated as a robust synthetic method to provide cyano (CN)-substituted V-2D-COFs with unique optoelectronic, magnetic, and redox properties. Despite the successful synthesis, it remains elusive for the relevant polymerization mechanism, which leads to relatively low crystallinity and poor reproducibility. In this work, we demonstrate the novel synthesis of CN-substituted V-2D-COFs via the combination of Knoevenagel polycondensation and water-assisted dynamic Michael-addition-elimination, abbreviated as KMAE polymerization. The existence of C=C bond exchange between two diphenylacrylonitriles ( M1 and M6 ) is firstly confirmed via in situ high-temperature NMR spectroscopy study of model reactions. Notably, the intermediate M4 synthesized via Michael-addition can proceed the Michael-elimination quantitatively, leading to an efficient C=C bond exchange, unambiguously confirming the dynamic nature of Michael-addition-elimination. Furthermore, the addition of water can significantly promote the reaction rate of Michael-addition-elimination for highly efficient C=C bond exchange within 5 mins. As a result, the KMAE polymerization provides a highly efficient strategy for the synthesis of CN-substituted V-2D-COFs with high crystallinity, as demonstrated by four examples of V-2D-COF-TFPB-PDAN, V-2D-COF-TFPT-PDAN, V-2D-COF-TFPB-BDAN, and V-2D-COF-HATN-BDAN, based on the simulated and experimental powder X-ray diffraction (PXRD) patterns as well as N 2 -adsorption–desorption measurements. Moreover, high-resolution transmission electron microscopy (HR-TEM) analysis shows crystalline domain sizes ranging from 20 to 100 nm for the newly synthesized V-2D-COF

关键词： Dynamic Chemistry Knoevenagel Polymerization Two-Dimensional Organic Framework Vinylene-Linked systems

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Frontispiece: Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution via Solvent Tuning

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Angewandte Chemie International Edition 2023年第22期62卷

作者： Dr. Michael G. Allan Thomas Pichon Dr. Jade A. McCune Dr. Christine Cavazza Dr. Alan Le Goff Dr. Moritz F. Kühnel Department of Chemistry Faculty of Science and Engineering Swansea University Singleton Park Swansea SA2 8PP Wales UK Univ. Grenoble Alpes CEA CNRS IRIG CBM 38000 Grenoble France Melville Laboratory for Polymer Synthesis University of Cambridge Lensfield Road Cambridge CB2 1EW UK University Grenoble Alpes CNRS DCM UMR 5250 F-38000 Grenoble France Dept. Hydrogen Labs and Field Tests Fraunhofer Institute for Wind Energy Systems Am Haupttor BC 4310 06237 Leuna Germany

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The ECFA Early Career Researcher's Panel: composition, structure, and activities, 2021-2022

arXiv

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arXiv 2022年

作者： Geanta, Andrei Alexandru Amendola, Chiara Apolinario, Liliana Arling, Jan-Hendrik Ashkenazi, Adi Augsten, Kamil Bagnaschi, Emanuele Bakos, Evelin Barak, Liron Bastos, Diogo Benato, Giovanni Bilin, Bugra Kraljevic, Neven Blaskovic Brenner, Lydia Brizioli, Francesco Camper, Antoine Camplani, Alessandra Vidal, Xabier Cid Dag, Hüseyin de Almeida Dias, Flavia Degens, Jordy Diociaiuti, Eleonora Dufour, Laurent Dunne, Katherine Erhardt, Filip Ghinescu, Stefan-Alexandru Gouskos, Loukas Herzan, Andrej Hinger, Viktoria Hiti, Bojan Ilg, Armin Irles, Adrián Jarkovská, Kateřina Jovicevic, Jelena Keszeghova, Lucia Kirschenmann, Henning Klaver, Suzanne Konstantinou, Sotiroulla Kuich, Magdalena Kumari, Neelam Gajdošová, Katarína Křížková Lelek, Aleksandra Lorenz, Jeanette Carvalho, Ana Luisa Major, Péter Malczewski, Jakub Mancini, Giada Martikainen, Laura Maurice, Émilie Mee, Seán Milosevic, Vukasin Moravcova, Zuzana Valero, Laura Moreno Moureaux, Louis Mäntysaari, Heikki Nikiforou, Nikiforos Otarid, Younes Pitt, Michael Placinta, Vlad-Mihai Räuber, Géraldine Ripellino, Giulia Roberts, Bryn Šantelj, Luka Schramm, Steven Shopova, Mariana Skovpen, Kirill Smolkovič, Aleks Sokmen, Gamze Sznajder, Pawel Gomez, Lourdes Urda Waldron, Abigail Victoria Williams, Sarah Zaccolo, Valentina Zardoshti, Nima Zeyen, Manuel Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest-Magurele Romania IRFU CEA Université Paris-Saclay Gif-sur-Yvette France Laboratório de Instrumentação e Física Experimental de Partículas - LIP Lisboa Portugal Deutsches Elektronen-Synchrotron DESY Hamburg Germany Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Faculty of Nuclear Sciences and Physical Engineering Czech Technical University in Prague Prague Czech Republic CERN Geneva Switzerland Institute of Physics University of Belgrade Belgrade Serbia INFN Laboratori Nazionali del Gran Sasso L'Aquila Italy MAX IV Laboratory Lund University Lund Sweden Nikhef National Institute for Subatomic Physics University of Amsterdam Amsterdam Netherlands INFN Sezione di Perugia Perugia Italy Department of Physics University of Oslo Oslo Norway Niels Bohr Institute University of Copenhagen Copenhagen Denmark Universidade de Santiago de Compostela Santiago de Compostela Spain Department of Physics Bursa Technical University Bursa Turkey INFN Laboratori Nazionali di Frascati Frascati Italy Department of Physics Stockholm University Stockholm Sweden Physics Department Faculty of Science University of Zagreb Zagreb Croatia Slovak Academy of Sciences Bratislava Slovakia Paul Scherrer Institut Villigen Switzerland Department of Experimental Particle Physics Jožef Stefan Institute Department of Physics University of Ljubljana Ljubljana Slovenia Physik-Institut University of Zürich Zürich Switzerland IFIC Universitat de València and CSIC València Spain Faculty of Mathematics and Physics Charles University Prague Czech Republic Faculty of Mathematics Physics and Informatics Comenius University Bratislava Slovakia Department of Physics University of Helsinki Helsinki Finland Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands University of Cyprus Nicosia Cyprus University of Warsaw Wa

The European Committee for Future Accelerators (ECFA) Early Career Researcher's (ECR) panel, which represents the interests of the ECR community to ECFA, officially began its activities in January 2021. In the first two years, the panel has defined its own internal structure, responded to ECFA requests for feedback, and launched its own initiatives to better understand and support the diverse interests of early career researchers. This report summarises the panel composition and structure, as well as the different activities the panel has been involved with during the first two years of its existence. © 2022, CC BY.

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