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The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future (vol 398, pg 1619, 2021)

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LANCET 2021年第10317期398卷 2148-2148页

作者： Romanello, M. McGushin, A. di Napoli, C. [a]Institute for Global Health University College London London UK [b]Institute for Sustainable Resources University College London London UK [c]UCL Energy Institute University College London London UK [d]Institute for Environmental Design and Engineering University College London London UK [e]Department of Geography University College London London UK [f]The Bartlett School of Sustainable Construction University College London London UK [g]Centre for Human Health and Performance University College London London UK [h]School of Agriculture Policy and Development University of Reading Reading UK [i]Department of Meteorology University of Reading Reading UK [j]The Walker Institute University of Reading Reading UK [k]Department of Health Sciences University of York York UK [l]Institute for Environment and Human Security United Nations University Bonn Germany [m]Centre on Climate Change and Planetary Health London School of Hygiene & Tropical Medicine London UK [n]Centre for Mathematical Modelling of Infectious Diseases London School of Hygiene & Tropical Medicine London UK [o]Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London UK [p]Department of Earth System Science Tsinghua University Beijing China [q]Department of Environment Climate Change and Health World Health Organization Geneva Switzerland [r]Institute for Environmental Sciences World Health Organization Geneva Switzerland [s]Centre for Climate Change and Social Transformations School of Psychology Cardiff University Cardiff UK [t]Yale Center on Climate Change and Health Yale University New Haven CT USA [u]School of Government University of Birmingham Birmingham UK [v]Economic analysis of Climate Impacts and Policy Centro Euro-Mediterraneo sui Cambiamenti Climatici Venice Italy [w]Natural Resources Institute University of Greenwich London UK [x]Department of Global Health University of Washington Seattle WA USA [y]Centre for He

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How Jupiter’s Unusual Magnetospheric Topology Structures Its Aurora

arXiv

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arXiv 2020年

作者： Zhang, Binzheng delamere, Peter A. Yao, Zhonghua Bonfond, Bertrand Lin, d. Sorathia, Kareem A. Brambles, Oliver J. Lotko, William Garretson, Jeff S. Merkin, Viacheslav G. Grodent, denis dunn, William R. Lyon, John G. Department of Earth Sciences University of Hong Kong Hong Kong Hong Kong High Altitude Observatory National Center for Atmospheric Research BoulderCO United States Geophysical Institute University of Alaska Fairbanks Fairbanks AK United States Key Laboratory of Earth and Planetary Physics Institute of Geology and Geophysics Chinese Academy of Sciences Beijing China Belgium Applied Physics Laboratory Johns Hopkins University LauralMD United States Oliver J. Brambles Ph.D. Preston United Kingdom Thayer School of Engineering Dartmouth College HanoverNH United States Mullard Space Science Laboratory University College London Dorking United Kingdom Gamera Consulting HanoverNH United States

Jupiter’s bright persistent polar aurora and Earth’s dark polar region indicate that the planets’ magnetospheric topologies are very different. High-resolution global simulations show that the reconnection rate at the interface between the interplanetary and jovian magnetic fields is too slow to generate a magnetically open, Earth-like polar cap on the timescale of planetary rotation, resulting in only a small crescent-shaped region of magnetic flux interconnected with the interplanetary magnetic field. Most of the jovian polar cap is threaded by helical magnetic flux that closes within the planetary interior, extends into the outer magnetosphere and piles-up near its dawnside flank where fast differential plasma rotation pulls the field lines sunward. This unusual magnetic topology provides new insights into Jupiter’s distinctive auroral morphology. Copyright © 2020, The Authors. All rights reserved.

关键词： Magnetosphere

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Camera Calibration of the CTA-LST prototype 37

Camera Calibration of the CTA-LST prototype

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37th International Cosmic Ray Conference, ICRC 2021

作者： Kobayashi, Yukiho Okumura, Akira Cassol, Franca Katagiri, Hideaki Sitarek, Julian Gliwny, Pawel Nozaki, Seiya Nogami, Yuto Abe, H. Aguasca, A. Agudo, I. Antonelli, L.A. Aramo, C. Armstrong, T. Artero, M. Asano, K. Ashkar, H. Aubert, P. Baktash, A. Bamba, A. Baquero Larriva, A. Baroncelli, L. Barres de Almeida, U. Barrio, J.A. Batkovic, I. Becerra Gonzalez, J. Bernardos, M.I. Berti, A. Biederbeck, N. Bigongiari, C. Blanch, O. Bonnoli, G. Bordas, P. Bose, d. Bulgarelli, A. Burelli, I. Buscemi, M. Cardillo, M. Caroff, S. Carosi, A. Cerruti, M. Chai, Y. Cheng, K. Chikawa, M. Chytka, L. Contreras, J.L. Cortina, J. Costantini, H. dalchenko, M. de Angelis, A. de Bony de Lavergne, M. deleglise, G. delgado, C. delgado Mengual, J. della Volpe, d. depaoli, d. di Pierro, F. di Venere, L. daaz, C. dominik, R.M. dominis Prester, d. donini, A. dorner, d. doro, M. Elsaasser, d. Emery, G. Escudero, J. Fiasson, A. Foffano, L. Fonseca, M.V. Freixas Coromina, L. Fukami, S. Fukazawa, Y. Garcia, E. Garcia Lapez, R. Giglietto, N. Giordano, F. Godinovic, N. Green, d. Grespan, P. Gunji, S. Hackfeld, J. Hadasch, d. Hahn, A. Hassan, T. Hayashi, K. Heckmann, L. Heller, M. Herrera Llorente, J. Hirotani, K. Hoffmann, d. Horns, d. Houles, J. Hrabovsky, M. Hrupec, d. Hui, d. HÃŒtten, M. Inada, T. Inome, Y. Iori, M. Ishio, K. Iwamura, Y. Jacquemont, M. Jimenez Martinez, I. Jouvin, L. Jurysek, J. Kagaya, M. Karas, V. Kataoka, J. Kerszberg, d. Kong, A. Kubo, H. Kushida, J. Lamanna, G. Lamastra, A. Le Flour, T. Longo, F. Lapez-Coto, R. Lapez-Moya, M. Lapez-Oramas, A. Luque-Escamilla, P.L. Majumdar, P. Makariev, M. Mandat, d. Manganaro, M. Mannheim, K. Mariotti, M. Marquez, P. Marsella, G. Marta, J. Martinez, O. MartÃnez, G. MartÃnez, M. Marusevec, P. Mas, A. Maurin, G. Mazin, d. Mestre Guillen, E. Micanovic, S. Miceli, d. Miener, T. Miranda, J.M. Miranda, L.d.M. Mirzoyan, R. Mizuno, T. Molina, E. Montaruli, T. Monteiro, I. Moralejo, A. Morcuende, d. Moretti, E. Morselli, A. Mrakovcic, K. Institute for Cosmic Ray Research The University of Tokyo Chiba Japan Institute for Space-Earth Environmental Research Kobayashi-Maskawa Institute for the Origin of Particles and the Universe Nagoya University Nagoya Japan Aix Marseille Univ CNRS IN2P3 CPPM Marseille France College of Science Ibaraki University Ibaraki Japan Faculty of Physics and Applied Informatics University of Lodz ul. Pomorska 149/153 Lódz90-236 Poland Department of Physics Kyoto University Kyoto606-8502 Japan Institute for Cosmic Ray Research University of Tokyo Japan Departament de Fasica Quantica i Astrofasica Institut de Ciancies del Cosmos Universitat de Barcelona IEEC-UB Spain Instituto de Astrofasica de Andalucaa-CSIC Spain INAF - Osservatorio Astronomico di Roma Italy INFN Sezione di Napoli Italy Aix Marseille Univ CNRS IN2P3 CPPM France The Barcelona Institute of Science and Technology Spain IRFU CEA Universita© Paris-Saclay France LAPP Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS-IN2P3 Annecy France Universitaat Hamburg Institut faer Experimentalphysik Germany Graduate School of Science University of Tokyo Japan EMFTEL Department IPARCOS Universidad Complutense de Madrid Spain INAF - Osservatorio di Astrofisica e Scienza dello Spazio di Bologna Italy Centro Brasileiro de Pesquisas Fasicas Brazil INFN Sezione di Padova Universita degli Studi di Padova Italy Instituto de Astrofasica de Canarias Departamento de Astrofasica Universidad de La Laguna Spain Max-Planck-Institut faer Physik Germany Department of Physics TU Dortmund University Germany Saha Institute of Nuclear Physics India INFN Sezione di Trieste Universita degli Studi di Udine Italy INFN Sezione di Catania Italy Italy University of Geneva Da©partement de Physique Nucla©aire et Corpusculaire Switzerland Palacky University Olomouc Faculty of Science Czech Republic CIEMAT Spain Port d'Informacia Cientafica Spain INFN Sezione di Torino Italy Dipartimento di Fisica Universita degli Studi di Tori

The Cherenkov Telescope Array (CTA) is the next-generation gamma-ray observatory that is expected to reach one order of magnitude better sensitivity than that of current telescope arrays. The Large-Sized Telescopes (LSTs) have an essential role in extending the energy range down to 20 GeV. The prototype LST (LST-1) proposed for CTA was built in La Palma, the northern site of CTA, in 2018. LST-1 is currently in its commissioning phase and moving towards scientific observations. The LST-1 camera consists of 1855 photomultiplier tubes (PMTs) which are sensitive to Cherenkov light. PMT signals are recorded as waveforms sampled at 1 GHz rate with domino Ring Sampler version 4 (dRS4) chips. Fast sampling is essential to achieve a low energy threshold by minimizing the integration of background light from the night sky. Absolute charge calibration can be performed by the so-called F-factor method, which allows calibration constants to be monitored even during observations. A calibration pipeline of the camera readout has been developed as part of the LST analysis chain. The pipeline performs dRS4 pedestal and timing corrections, as well as the extraction and calibration of charge and time of pulses for subsequent higher-level analysis. The performance of each calibration step is examined, and especially charge and time resolution of the camera readout are evaluated and compared to CTA requirements. We report on the current status of the calibration pipeline, including the performance of each step through to signal reconstruction, and the consistency with Monte Carlo simulations. © 2022 Sissa Medialab Srl. All rights reserved.

关键词： Calibration

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Corrigendum to "1,4-Naphthoquinones as inhibitors of Itch, a HECT domain-E3 ligase, and tumor growth suppressors in multiple myeloma" [Eur. J. Med. Chem. 140 (2017) 84-91]

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European journal of medicinal chemistry 2020年 202卷 112633页

作者： Yi-Min Liu Wei-Chun HuangFu Han-Li Huang Wei-Cheng Wu Yi-Lin Chen Yun Yen Hsiang-Ling Huang Chih-Ying Nien Mei-Jung Lai Shiow-Lin Pan Jing-Ping Liou School of Pharmacy College of Pharmacy Taipei Medical University 250 Wuxing Street Taipei 11031 Taiwan. The Ph.D. Program for Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan. Center for Translational Medicine Taipei Medical University Taiwan. The Ph.D. Program for Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei Taiwan Department of Pharmacology College of Medicine Taipei Medical University Taipei Taiwan. Electronic address: slpan@tmu.edu.tw. School of Pharmacy College of Pharmacy Taipei Medical University 250 Wuxing Street Taipei 11031 Taiwan School of Pharmacy National Defense Medical Center Taipei Taiwan. Electronic address: jpl@tmu.edu.tw.

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Continuous and pulsed experiments with numerical simulation to dissect pituitary gland tumour by using liquid jet

arXiv

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arXiv 2019年

作者： Alamoud, Ahmed H. Baillot, Emmanuel Belabbas, Camila Samimi Ardestani, Hadi S. Bahai, Hamid Baldit, Adrien Chizari, Mahmoud Mechanical Aerospace and Civil Engineering Department College of Engineering Design and Physical Sciences Brunel University London Uxbridge UB8 3PH United Kingdom Metz France Tehran University of Medical Science Research Centre of Otolaryngology Head and Neck Surgery Amiralam Hospital Tehran Iran Mechanical Aerospace and Civil Engineering Department College of Engineering Design and Physical Sciences Brunel University London United Kingdom Department of Mechanics Physics Mathematics 1 route d'Ars Laquenexy Metz Cedex 3 57078 France School of Mechanical Engineering Sharif University of Technology Tehran Iran

Endoscopic endonasal surgery is a minimal invasive surgery that has been used to dissect pituitary gland tumour via curettes with the help of endoscope. However, this type of surgery has a high risk of failure because curettes may cause damages to blood vessels and optical nerves that lead to more complication for the patient. The aim of this study is to develop a new technique to dissect the tumour by using liquid jet. A series of experimental tests have been performed on animal tissue to study the effect of liquid pressure and nozzle diameter on dissecting and cutting the tissue. Continuous / pulsed liquid jet used with variable nozzle diameters, distances, pressures and angles. The study concluded with promising results on liquid jet to dissect hypophysis tumour and preserving fine blood vessels and optical nerve located near the pituitary gland. Copyright © 2019, The Authors. All rights reserved.

关键词： Tumors

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Identification of gene expression signatures for psoriasis classification using machine learning techniques

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Medicine in Omics 2021年 1卷

作者： Nguyen Quoc Khanh Le duyen Thi do Trinh-Trung-duong Nguyen Ngan Thi Kim Nguyen Truong Nguyen Khanh Hung Nguyen Thi Thu Trang Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei City 106 Taiwan Research Center for Artificial Intelligence in Medicine Taipei Medical University Taipei City 106 Taiwan Graduate Institute of Biomedical Informatics Taipei Medical University Taipei City 106 Taiwan Department of Computer Science and Engineering Yuan Ze University Chung-Li 32003 Taiwan School of Nutrition and Health Sciences Taipei Medical University Taipei City 110 Taiwan International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei City 110 Taiwan Orthopedic and Trauma Department Cho Ray Hospital Ho Chi Minh City Viet Nam International PhD Program for Cell Therapy and Regeneration Medicine College of Medicine Taipei Medical University Taipei City 110 Taiwan

Psoriasis classification requires the accurate identification of the lesional types for the early and effective diagnosis and it is worth interesting that the normal and psoriasis cell tissues exhibit different gene expression. Therefore, gene expression data is an effective source for psoriasis classification and there is a challenge regarding the selection of suitable gene signatures for its purpose. In this present study, the gene expression-based microarray data were used and 35 expression features linked with psoriasis were utilized to feed into our machine learning model. Overall, the performance of our model based on 35 mentioned-above features surpassed that of other state-of-the-art classifiers with an average accuracy of 98.3%, recall of 98.6%, and precision of 98% in 5-fold cross-validation tests. We also validate our model on two different sets of psoriasis and the performance results are significant. These results have suggested that our 35 expression signatures have been identified as key features for classifying samples between lesion and non-lesion. More specifically, the expression levels of few genes i.e., FABP5 , TGM1 , or BCAR3 are discovered as newly potential biomarkers for psoriasis classification and treatment with high confidence. This study, therefore, could shed light on developing the prediction models for psoriasis classification and treatment using gene expression profiles.

关键词： Psoriasis classification Random forest Gene expression Feature selection Machine learning FABP5 dermatology

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Fungal diversity notes 1387-1511:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal diversity 2021年第6期111卷 1-335页

作者： Saranyaphat Boonmee dhanushka N.Wanasinghe Mark S.Calabon Naruemon Huanraluek Sajini K.U.Chandrasiri Gareth E.B.Jones Walter Rossi Marco Leonardi Sanjay K.Singh Shiwali Rana Paras N.Singh deepak K.Maurya Ajay C.Lagashetti deepika Choudhary Yu-Cheng dai Chang-Lin Zhao Yan-Hong Mu Hai-Sheng Yuan Shuang-Hui He Rungtiwa phookamsak Hong-Bo Jiang María P.Martín Margarita dueñas MTeresa Telleria Izabela L.Kałucka Andrzej M.Jagodziński Kare Liimatainen diana S.Pereira Alan J.L.phillips Nakarin Suwannarach Jaturong Kumla Surapong Khuna Saisamorn Lumyong Tarynn B.Potter Roger G.Shivas Adam H.Sparks Niloofar Vaghefi Mohamed A.Abdel-Wahab Faten A.Abdel-Aziz Guo-Jie Li Wen-Fei Lin Upendra Singh Rajendra P.Bhatt Hyang Burm Lee Thuong T.T.Nguyen Paul M.Kirk Arun Kumar dutta Krishnendu Acharya VVenkateswara Sarma M.Niranjan Kunhiraman C.Rajeshkumar Nikhil Ashtekar Sneha Lad Nalin N.Wijayawardene darbe J.Bhat Rong-Ju Xu Subodini N.Wijesinghe Hong-Wei Shen Zong-Long Luo Jing-Yi Zhang phongeun Sysouphanthong Naritsada Thongklang dan-Feng Bao Janith V.S.Aluthmuhandiram Jafar Abdollahzadeh Alireza Javadi Francesco dovana Muhammad Usman Abdul Nasir Khalid Asha J.dissanayake Anusha Telagathoti Maraike Probst Ursula Peintner Isaac Garrido-Benavent Lilla Bóna Zsolt Merényi Lajos Boros Bratek Zoltán JBenjamin Stielow Ning Jiang Cheng-Ming Tian Esmaeil Shams Farzaneh dehghanizadeh Adel Pordel Mohammad Javan-Nikkhah Teodor T.denchev Cvetomir M.denchev Martin Kemler dominik Begerow Chun-Ying deng Emma Harrower Tohir Bozorov Tutigul Kholmuradova Yusufjon Gafforov Aziz Abdurazakov Jian-Chu Xu Peter E.Mortimer Guang-Cong Ren Rajesh Jeewon Sajeewa S.N.Maharachchikumbura Chayanard phukhamsakda Ausana Mapook Kevin d.Hyde Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China CIFOR-ICRAF China Program World Agroforestry(ICRAF)Kunming 650201YunnanPeople’s Republic of China Honghe Center for Mountain Futures Kunming Institute of BotanyHonghe CountyKunming 654400YunnanPeople’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Section Environmental Sciences Department MeSVAUniversity of L’Aquila67100 CoppitoAQItaly National Fungal Culture Collection of India(NFCCI) Biodiversity and Palaeobiology GroupMACS Agharkar Research InstituteG.G.Agarkar RoadPune 411004India Institute of Microbiology School of Ecology and Nature ConservationBeijing Forestry UniversityBeijing 100083People’s Republic of China College of Biodiversity Conservation Southwest Forestry UniversityKunming 650224People’s Republic of China CAS Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110164People’s Republic of China University of the Chinese Academy of Sciences Beijing 100049People’s Republic of China Centre for Mountain Futures(CMF) Kunming Institute of BotanyKunming 650201YunnanPeople’s Republic of China Department of Mycology Real Jardín Botánico-CSICPlaza de Murillo 228014 MadridSpain Department of Algology and Mycology Faculty of Biology and Environmental ProtectionUniversity of LodzBanacha 12/1690-237ŁódźPoland Institute of Dendrology Polish Academy of SciencesParkowa 562-035 KórnikPoland Jodrell Laboratory Royal Botanic GardensKewRichmond TW93DSSurreyUK Faculdade de Ciências Biosystems and Integrative Sciences Institute(BioISI)Universidade de LisboaCampo Grande1749-016 LisbonPortugal Dep

This article is the 13th contribution in the Fungal diversity Notes series,wherein 125 taxa from four phyla,ten classes,31 orders,69 families,92 genera and three genera incertae sedis are treated,demonstrating worldwide and geographic *** taxa described and illustrated in the present study include three new genera,69 new species,one new com-bination,one reference specimen and 51 new records on new hosts and new geographical *** new genera,Cylindrotorula(Torulaceae),Scolecoleotia(Leotiales genus incertae sedis)and Xenovaginatispora(Lindomycetaceae)are introduced based on distinct phylogenetic lineages and unique *** described species are Aspergillus lan-naensis,Cercophora dulciaquae,Cladophialophora aquatica,Coprinellus punjabensis,Cortinarius alutarius,***-latus,***,Coryneum fagi,Cruentomycena uttarakhandina,Cryptocoryneum rosae,Cyathus uniperidiolus,Cylindrotorula indica,diaporthe chamaeropicola,didymella azollae,diplodia alanphillipsii,dothiora coronicola,Efibula rodriguezarmasiae,Erysiphe salicicola,Fusarium queenslandicum,Geastrum gorgonicum,***,Helicosporium sexualis,Helminthosporium chiangraiensis,Hongkongmyces kokensis,Hydrophilomyces hydraenae,Hygrocybe boertmannii,Hyph.d.rma australosetigerum,Hyph.d.ntia yunnanensis,Khaleijomyces umikazeana,Laboulbenia divisa,Laboulbenia triarthronis,Laccaria populina,Lactarius pallidozonarius,Lepidosphaeria strobelii,Longipedicellata megafusiformis,Lophiotrema lincangensis,Marasmius benghalensis,***,***,Mariannaea camelliae,Mel-anographium smilaxii,Microbotryum polycnemoides,Mimeomyces digitatus,Minutisphaera thailandensis,Mortierella solitaria,Mucor harpali,Nigrograna jinghongensis,Odontia huanrenensis,***,Paraconiothyrium ajrekarii,Par-afuscosporella niloticus,phaeocytostroma yomensis,phaeoisaria synnematicus,phanerochaete hainanensis,Pleopunctum thailandicum,Pleurotheciella dimorphospora,Pseudochaetosphaeronema

关键词： 72 new taxa One new combination One reference specimen 51 new records Agaricomycetes Ascomycota Bartheletiomycetes Basidiomycota dothideomycetes Eurotiomycetes Exobasidiomycetes Laboulbeniomycetes Leotiomycetes Mortierellomycetes Mortierellomycota Mucoromycetes Mucoromycota phylogeny Sordariomycetes Taxonomy

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The design of Automatic Bird data Capture Systems

The Design of Automatic Bird Data Capture Systems

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chia-Yuan Lin Yi-Chun Lin Che-Jui Chang Chi-Feng Chen Ming-Fong Tsai Department of Information Engineering and Computer Science Feng Chia University Taiwan Information and Communications Research Laboratories Industrial Technology Research Institute Taiwan Industrial Ph.D. Program of Internet of Things Feng Chia University Taiwan Departrnent of Electronic Engineering National United University Taiwan

This paper implements an automatic bird data capture system which uploads data captured from social network websites to the server and stores them in the database. When using the Facebook API to capture data of interest, the system needs to filter the captured data to avoid false data storage. This paper takes building an automatic system that includes reinforcing the training database of the bird community as a top priority.

关键词： Birds databases Facebook Machine learning Servers System implementation

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Building a quantum engineering undergraduate program

arXiv

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arXiv 2021年

作者： Asfaw, Abraham Blais, Alexandre Brown, Kenneth R. Candelaria, Jonathan Cantwell, Christopher Carr, Lincoln d. Combes, Joshua debroy, dripto M. donohue, John M. Economou, Sophia E. Edwards, Emily Fox, Michael F.J. Girvin, Steven M. Ho, Alan Hurst, Hilary M. Jacob, Zubin Johnson, Blake R. Johnston-Halperin, Ezekiel Joynt, Robert Kapit, Eliot Klein-Seetharaman, Judith Laforest, Martin Lewandowski, H.J. Lynn, Theresa W. McRae, Corey Rae H. Merzbacher, Celia Michalakis, Spyridon Narang, Prineha Oliver, William d. Palsberg, Jens Pappas, david P. Raymer, Michael G. Reilly, david J. Saffman, Mark Searles, Thomas A. Shapiro, Jeffrey H. Singh, Chandralekha IBM Quantum IBM T. J. Watson Research Center Yorktown HeightsNY United States Institut Quantique Département de Physique Université de Sherbrooke SherbrookeQCJ1K 2R1 Canada Canadian Institute for Advanced Research TorontoONM5G 1M1 Canada The Duke Quantum Center Department of Physics Department of Electrical and Computer Engineering Department of Chemistry Duke University DurhamNC27708 United States SystemX Program Department of Electrical Engineering Stanford University StanfordCA94305 United States Department of Physics and Astronomy University of Southern California Los AngelesCA90089 United States The Quantum Engineering Program Department of Physics Colorado School of Mines GoldenCO80401 United States The Department of Electrical Computer and Energy Engineering University of Colorado Boulder BoulderCO80309 United States The Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada The Department of Physics Virginia Tech BlacksburgVA24061 United States The IQUIST University of Illinois Urbana-Champaign UrbanaIL61801 United States JILA National Institute of Standards and Technology The University of Colorado BoulderCO80309 United States Department of Physics University of Colorado Boulder BoulderCO80309 United States The Department of Physics Imperial College London Prince Consort Road LondonSW7 2AZ United Kingdom The Yale Quantum Institute Department of Physics Yale University New HavenCT06520 United States Google Research VeniceCA90291 United States The Department of Physics & Astronomy San José State University San JoséCA95192 United States The School of Electrical and Computer Engineering Purdue University Indiana West Lafayatte47907 United States The Department of Physics The Ohio State University ColumbusOH43210 United States The Department of Physics University of Wisconsin-Madison 1150 University Avenue MadisonWI53706 United States The Quantitative Biosciences and Engineering

The rapidly growing quantum information science and engineering (QISE) industry will require both quantum-aware and quantum-proficient engineers at the bachelor's level. We provide a roadmap for building a quantum engineering education program to satisfy this need. For quantum-aware engineers, we describe how to design a first quantum engineering course accessible to all STEM students. For the education and training of quantum-proficient engineers, we detail both a quantum engineering minor accessible to all STEM majors, and a quantum track directly integrated into individual engineering majors. We propose that such programs typically require only three or four newly developed courses that complement existing engineering and science classes available on most larger campuses. We describe a conceptual quantum information science course for implementation at any post-secondary institution, including community colleges and military schools. QISE presents extraordinary opportunities to work towards rectifying issues of inclusivity and equity that continue to be pervasive within engineering. We present a plan to do so and describe how quantum engineering education presents an excellent set of education research opportunities. Finally, we outline a hands-on training plan on quantum hardware, a key component of any quantum engineering program, with a variety of technologies including optics, atoms and ions, cryogenic and solid-state technologies, nanofabrication, and control and readout electronics. Our recommendations provide a flexible framework that can be tailored for academic institutions ranging from teaching and undergraduate-focused two- and four-year colleges to research-intensive universities. © 2021, CC BY.

关键词： engineering education

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Corrigendum to "L-selectin activation regulates Rho GTPase activity via Ca+2 influx in Sertoli cell line, ASC-17d cells"

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Biochemical and biophysical research communications 2021年 584卷 116页

作者： Ivan Limanjaya Tsung-I Hsu Jian-Ying Chuang Tzu-Jen Kao International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan. Graduate Institute of Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan College of Medical Science and Technology Taipei Medical University and National Health Research Institutes Taipei Taiwan Research Center of Neuroscience Taipei Medical University Taipei Taiwan TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei Taiwan. TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei Taiwan. Electronic address: chuangcy@tmu.edu.tw. Research Center of Neuroscience Taipei Medical University Taipei Taiwan. Electronic address: geokao@tmu.edu.tw.

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