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description Publicationkeyboard_double_arrow_right Article 2023 Spain, Netherlands, Netherlands, Finland, Denmark, Netherlands, United States, Denmark, Netherlands, DenmarkPublisher:Oxford University Press (OUP) Funded by:NSF | EAGER: Protecting Univers..., NSF | Collaborative Research: R..., NIH | Implementing Vaccine and ... +2 projectsNSF| EAGER: Protecting University Communities from COVID-19 with Model-based Risk Management ,NSF| Collaborative Research: RAPID: Understanding and Facilitating Remote Triage and Rehabilitation During Pandemics via Visual Based Patient Physiologic Sensing ,NIH| Implementing Vaccine and Treatment Evaluation Unit (VTEU) Clinical Site ,NIH| Elucidating Airborne SARS-CoV-2 Infectivity at Single Aerosol Resolution ,NIH| Research Employing Environmental Systems and Occupational Health Policy Analyses to Interrupt the Impact of Structural Racism on Agricultural Workers and Their Respiratory Health (RESPIRAR)Lidia Morawska; William Bahnfleth; Philomena M Bluyssen; Atze Boerstra; Giorgio Buonanno; Stephanie J Dancer; Andres Floto; Francesco Franchimon; Charles Haworth; Jaap Hogeling; Christina Isaxon; Jose L Jimenez; Jarek Kurnitski; Yuguo Li; Marcel Loomans; Guy Marks; Linsey C Marr; Livio Mazzarella; Arsen Krikor Melikov; Shelly Miller; Donald K Milton; William Nazaroff; Peter V Nielsen; Catherine Noakes; Jordan Peccia; Xavier Querol; Chandra Sekhar; Olli Seppänen; Shin-ichi Tanabe; Raymond Tellier; Tham Kwok Wai; Pawel Wargocki; Aneta Wierzbicka;This is an account that should be heard of an important struggle: the struggle of a large group of experts who came together at the beginning of the COVID-19 pandemic to warn the world about the risk of airborne transmission and the consequences of ignoring it. We alerted the World Health Organization about the potential significance of the airborne transmission of SARS-CoV-2 and the urgent need to control it, but our concerns were dismissed. Here we describe how this happened and the consequences. We hope that by reporting this story we can raise awareness of the importance of interdisciplinary collaboration and the need to be open to new evidence, and to prevent it from happening again. Acknowledgement of an issue, and the emergence of new evidence related to it, is the first necessary step towards finding effective mitigation solutions. © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. Peer reviewed
NARCIS arrow_drop_down Clinical Infectious DiseasesArticle . 2023Data sources: Eindhoven University of Technology Research PortaleScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyAaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveVBN; Aalborg University Research PortalArticle . 2023Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/cid/ciad068&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 19visibility views 19 download downloads 26 Powered bymore_vert NARCIS arrow_drop_down Clinical Infectious DiseasesArticle . 2023Data sources: Eindhoven University of Technology Research PortaleScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyAaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveVBN; Aalborg University Research PortalArticle . 2023Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/cid/ciad068&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 GermanyPublisher:University of California Press Funded by:NSERC, NSF | The Management and Operat...NSERC ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR)Authors: Ortega, I.; Gaubert, B.; Hannigan, J.; Brasseur, G. ; https://orcid.org/0000-0001-6794-9497; +17 AuthorsOrtega, I.; Gaubert, B.; Hannigan, J.; Brasseur, G. ; https://orcid.org/0000-0001-6794-9497; Worden, H.; Blumenstock, T.; Fu, H.; Hase, F.; Jeseck, P.; Jones, N.; Liu, C.; Mahieu, E.; Morino, I.; Murata, I.; Notholt, J.; Palm, M.; Röhling, A.; Té, Y.; Strong, K.; Sun, Y.; Yamanouchi, S.;Anomalies of tropospheric columns of ozone (O$_3$), carbon monoxide (CO), acetylene (C$_2$H$_2$), formaldehyde (H$_2$CO), and ethane (C$_2$H$_6$) are quantified during the 2020 stringent COVID-19 world-wide lockdown using multiple ground-based Fourier-transform infrared spectrometers covering urban and remote conditions. We applied an exponential smoothing forecasting approach to the data sets to estimate business-as-usual values for 2020, which are then contrasted with actual observations. The Community Atmosphere Model with chemistry (CAM-chem) is used to simulate the same gases using lockdown-adjusted and business-as-usual emissions. The role of meteorology, or natural variability, is assessed with additional CAM-chem simulations. The tropospheric column of O$_3$ declined between March and May 2020 for most sites with a mean decrease of 9.2% ± 4.7%. Simulations reproduce these anomalies, especially under background conditions where natural variability explains up to 80% of the decline for sites in the Northern Hemisphere. While urban sites show a reduction between 1% and 12% in tropospheric CO, the remote sites do not show a significant change. Overall, CAM-chem simulations capture the magnitude of the anomalies and in many cases natural variability and lockdowns have opposite effects. We further used the long-term record of the Measurements of Pollution in the Troposphere (MOPITT) satellite instrument to capture global anomalies of CO. Reductions of CO vary highly across regions but North America and Europe registered lower values in March 2020. The absence of CO reduction in April and May, concomitant with reductions of anthropogenic emissions, is explained by a negative anomaly in the hydroxyl radical (OH) found with CAM-chem. The implications of these findings are discussed for methane (CH$_4$), which shows a positive lifetime anomaly during the COVID-19 lockdown period. The fossil fuel combustion by-product tracer C2H2 shows a mean drop of 13.6% ± 8.3% in urban Northern Hemisphere sites due to the reduction in emissions and in some sites exacerbated by natural variability. For some sites with anthropogenic influence there is a decrease in C$_2$H$_6$. The simulations capture the anomalies but the main cause may be related to natural variability. H$_2$CO declined during the stringent 2020 lockdown in all urban sites explained by reductions in emissions of precursors.
Elementa: Science of... arrow_drop_down Elementa: Science of the AnthropoceneArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1525/elementa.2023.00015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Elementa: Science of... arrow_drop_down Elementa: Science of the AnthropoceneArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1525/elementa.2023.00015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022Publisher:Cold Spring Harbor Laboratory Funded by:NIH | Lagrangian computational ..., NSF | ABI: Innovation: Analyzin...NIH| Lagrangian computational modeling for biomedical data science ,NSF| ABI: Innovation: Analyzing Neuroglial Cell Dynamics in their Natural Environment with Video MicroscopyChenqi Zhang; Maik Herbig; Yuqi Zhou; Masako Nishikawa; Mohammad Shifat-E-Rabbi; Hiroshi Kanno; Ruoxi Yang; Yuma Ibayashi; Ting-Hui Xiao; Gustavo K. Rohde; Masataka Sato; Satoshi Kodera; Masao Daimon; Yutaka Yatomi; Keisuke Goda;pmid: 36772915
AbstractMicrovascular thrombosis is a typical symptom of COVID‐19 and shows similarities to thrombosis. Using a microfluidic imaging flow cytometer, we measured the blood of 181 COVID‐19 samples and 101 non‐COVID‐19 thrombosis samples, resulting in a total of 6.3 million bright‐field images. We trained a convolutional neural network to distinguish single platelets, platelet aggregates, and white blood cells and performed classical image analysis for each subpopulation individually. Based on derived single‐cell features for each population, we trained machine learning models for classification between COVID‐19 and non‐COVID‐19 thrombosis, resulting in a patient testing accuracy of 75%. This result indicates that platelet formation differs between COVID‐19 and non‐COVID‐19 thrombosis. All analysis steps were optimized for efficiency and implemented in an easy‐to‐use plugin for the image viewer napari, allowing the entire analysis to be performed within seconds on mid‐range computers, which could be used for real‐time diagnosis.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.13.22279890&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.13.22279890&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:American Chemical Society (ACS) Funded by:NSF | EAGER: Portable device fo...NSF| EAGER: Portable device for rapid and label-free identification of COVID-19 using an ultra-miniature handheld Raman spectrometerKunyan Zhang; Ziyang Wang; He Liu; Néstor Perea-López; Jeewan C. Ranasinghe; George Bepete; Allen M. Minns; Randall M. Rossi; Scott E. Lindner; Sharon X. Huang; Mauricio Terrones; Shengxi Huang;pmid: 37552735
COVID-19 has cost millions of lives worldwide. The constant mutation of SARS-CoV-2 calls for thorough research to facilitate the development of variant surveillance. In this work, we studied the fundamental properties related to the optical identification of the receptor-binding domain (RBD) of SARS-CoV-2 spike protein, a key component of viral infection. The Raman modes of the SARS-CoV-2 RBD were captured by surface-enhanced Raman spectroscopy (SERS) using gold nanoparticles (AuNPs). The observed Raman enhancement strongly depends on the excitation wavelength as a result of the aggregation of AuNPs. The characteristic Raman spectra of RBDs from SARS-CoV-2 and MERS-CoV were analyzed by principal component analysis that reveals the role of secondary structures in the SERS process, which is corroborated with the thermal stability under laser heating. We can easily distinguish the Raman spectra of two RBDs using machine learning algorithms with accuracy, precision, recall, and
ACS Photonics arrow_drop_down ACS PhotonicsArticle . 2022 . Peer-reviewedLicense: https://doi.org/10.15223/policy-001Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acsphotonics.2c00456&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert ACS Photonics arrow_drop_down ACS PhotonicsArticle . 2022 . Peer-reviewedLicense: https://doi.org/10.15223/policy-001Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acsphotonics.2c00456&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, Italy, Belgium, Netherlands, SpainPublisher:IOP Publishing Funded by:NSF | Collaborative Research: E..., MESTD | Ministry of Education, Sc..., NSF | GCR: Collaborative Resear... +6 projectsNSF| Collaborative Research: ECO-CBET: Methane Conversion by Merging Atmospheric Plasma with Transition-Metal Catalysis ,MESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200024 (University of Belgrade, Institute of Physics, Belgrade-Zemun) ,NSF| GCR: Collaborative Research: Plasma-Biofilm Interactions at the Intersection of Physics, Chemistry, Biology and Engineering ,NSF| Collaborative Research: SusChEM: Mechanistic origins of synergetic effects in plasma catalysis ,EC| AEROSPACEPHYS ,NSF| GCR: Collaborative Research: Plasma-Biofilm Interactions at the Intersection of Physics, Chemistry, Biology and Engineering ,EC| SCOPE ,SNSF| Using Subsurface Structuring to Study Modified Long-range Interactions that Affect Adsorption of Molecules ,NSF| Collaborative Research: Understanding Plasma-Liquid Interactions Through Controlled Plasma-Microdroplet Experiments and ModelingI Adamovich; S Agarwal; E Ahedo; L L Alves; S Baalrud; N Babaeva; A Bogaerts; A Bourdon; P J Bruggeman; C Canal; E H Choi; S Coulombe; Z Donkó; D B Graves; S Hamaguchi; D Hegemann; M Hori; H-H Kim; G M W Kroesen; M J Kushner; A Laricchiuta; X Li; T E Magin; S Mededovic Thagard; V Miller; A B Murphy; G S Oehrlein; N Puac; R M Sankaran; S Samukawa; M Shiratani; M Šimek; N Tarasenko; K Terashima; E Thomas Jr; J Trieschmann; S Tsikata; M M Turner; I J van der Walt; M C M van de Sanden; T von Woedtke;handle: 10016/35429 , 2117/376648 , 10067/1892030151162165141
The 2022 Roadmap is the next update in the series of Plasma Roadmaps published by Journal of Physics D with the intent to identify important outstanding challenges in the field of low-temperature plasma (LTP) physics and technology. The format of the Roadmap is the same as the previous Roadmaps representing the visions of 41 leading experts representing 21 countries and five continents in the various sub-fields of LTP science and technology. In recognition of the evolution in the field, several new topics have been introduced or given more prominence. These new topics and emphasis highlight increased interests in plasma-enabled additive manufacturing, soft materials, electrification of chemical conversions, plasma propulsion, extreme plasma regimes, plasmas in hypersonics and data-driven plasma science. Cristina Canal acknowledges PID2019-103892RB-I00/AEI/10.13039/501100011033 Project (AEI) and the Generalitat de Catalunya for the ICREA Academia Award and SGR2017-1165. The research by Annemie Bogaerts was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Synergy Grant 810182 SCOPE). Eduardo Ahedo was funded by Spain's Agencia Estatal de Investigación, under Grant No. PID2019-108034RB-I00 (ESPEOS Project). Documento escrito por un elevado número de autores/as, solo se referencia el/la que aparece en primer lugar y los/as autores/as pertenecientes a la UC3M.
Journal of Physics D... arrow_drop_down Journal of Physics D Applied Physics; DIFFER: PublicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNARCISArticle . 2022Full-Text: https://pure.tue.nl/ws/files/212217499/Adamovich_2022_J._Phys._D_Appl._Phys._55_373001.pdfData sources: NARCISJournal of Physics D Applied PhysicsArticle . 2022Data sources: Eindhoven University of Technology Research PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCJournal of Physics D Applied PhysicsArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03715173/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1361-6463/ac5e1c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 136 citations 136 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 121visibility views 121 download downloads 203 Powered bymore_vert Journal of Physics D... arrow_drop_down Journal of Physics D Applied Physics; DIFFER: PublicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNARCISArticle . 2022Full-Text: https://pure.tue.nl/ws/files/212217499/Adamovich_2022_J._Phys._D_Appl._Phys._55_373001.pdfData sources: NARCISJournal of Physics D Applied PhysicsArticle . 2022Data sources: Eindhoven University of Technology Research PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCJournal of Physics D Applied PhysicsArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03715173/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1361-6463/ac5e1c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:SAGE Publications Funded by:NSF | Belmont Forum Collaborati...NSF| Belmont Forum Collaborative Research:Data-driven Disaster Response Systems Dependent on Time of Day, Season and Location for MegacitiesMasahiko Haraguchi; Akihiko Nishino; Akira Kodaka; Maura Allaire; Upmanu Lall; Liao Kuei-Hsien; Kaya Onda; Kota Tsubouchi; Naohiko Kohtake;The impacts of disasters are increasing due to climate change and unplanned urbanization. Big and open data offer considerable potential for analyzing and predicting human mobility during disaster events, including the COVID-19 pandemic, leading to better disaster risk reduction (DRR) planning. However, the value of human mobility data and analysis (HMDA) in urban resilience research is poorly understood. This review highlights key opportunities for and challenges hindering the use of HMDA in DRR in urban planning and risk science, as well as insights from practitioners. A gap in research on HMDA for data-driven DRR planning was identified. By examining human mobility studies and their respective analytical and planning tools, this paper offers deeper insights into the challenges that must be addressed to improve the development of effective data-driven DRR planning, from data collection to implementation. In future work on HMDA, (i) the human mobility of vulnerable populations should be targeted, (ii) research should focus on disaster mitigation and prevention, (iii) analytical methods for evidence-based disaster planning should be developed, (iv) different types of data should be integrated into analyses to overcome methodological challenges, and (v) a decision-making framework should be developed for evidence-based urban planning through transdisciplinary knowledge co-production.
Environment and Plan... arrow_drop_down Environment and Planning B Urban Analytics and City ScienceArticle . 2022 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/23998083221075634&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Environment and Plan... arrow_drop_down Environment and Planning B Urban Analytics and City ScienceArticle . 2022 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/23998083221075634&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Japan Society of Kansei Engineering Funded by:NSF | IRES Track One: Involving...NSF| IRES Track One: Involving Undergraduates in Research on Design and Cross-Cultural Perceptions of Cuteness in Robotic GadgetsMichiko OHKURA; Midori SUGAYA; Peeraya SRIPIAN; Tipporn LAOHAKANGVALVIT; Hiroko CHIBA; Dave BERQUE;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5057/ijae.ijae-d-21-00015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5057/ijae.ijae-d-21-00015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 EnglishPublisher:Wiley Funded by:NSF | IIBR Informatics: Develop..., NIH | Structural Modeling of Mu..., NSF | Nanomanufacturing of Prot... +7 projectsNSF| IIBR Informatics: Development of Multimodal approaches for protein function prediction ,NIH| Structural Modeling of Multifarious Protein Complexes ,NSF| Nanomanufacturing of Protein Macromolecular Frameworks Through an Integrated Bioengineering and Computational Approach ,NIH| Center for Critical Assessment of Structure Prediction ,NIH| Building protein structure models for intermediate resolution cryo-electron microscopy maps ,NSF| III: Medium: Collaborative Research: Guiding Exploration of Protein Structure Spaces with Deep Learning ,NSF| Collaborative Research: RoL: Revealing a new mechanism of action for eukaryotic transcriptional activation domains ,NIH| Distance-based ab initio protein structure prediction ,NIH| Purdue University Molecular Biophysics Training Program ,NSF| ABI Innovation: Deep learning methods for protein bioinformaticsKryshtafovych, Andriy; Moult, John; Billings, Wendy M.; Della Corte, Dennis; Fidelis, Krzysztof; Kwon, Sohee; Olechnovič, Kliment; Seok, Chaok; Venclovas, Česlovas; Won, Jonghun; Adiyaman, Recep; McGuffin, Liam;CASP (Critical Assessment of Structure Prediction) is an organization aimed at advancing the state of the art in computing protein structure from sequence. In the spring of 2020, CASP launched a community project to compute the structures of the most structurally challenging proteins coded for in the SARS-CoV2 genome. Forty-seven research groups submitted over 3000 three-dimensional models and 700 sets of accuracy estimates on ten proteins. The resulting models were released to the public. CASP community members also worked together to provide estimates of local and global accuracy and identify structure-based domain boundaries for some proteins. Subsequently, two of these structures (ORF3a and ORF8) have been solved experimentally, allowing assessment of both model quality and the accuracy estimates. Models from the AlphaFold2 group were found to have good agreement with the experimental structures, with main chain GDT_TS accuracy scores ranging from 63 (a correct topology) to 87 (competitive with experiment).
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 28visibility views 28 download downloads 3 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=core_ac_uk__::46473fa36a669aaa55b07559f2dbc03e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 United KingdomPublisher:Public Library of Science (PLoS) Funded by:NSF | RAPID: Mathematical Model..., NIH | Modeling Viral and T Lymp..., NIH | COVID-19 Modeling Urgent ... +1 projectsNSF| RAPID: Mathematical Models for Understanding Key Epidemiological Parameters and Transmission of SARS-CoV-2 ,NIH| Modeling Viral and T Lymphocyte Dynamics ,NIH| COVID-19 Modeling Urgent Grant Program for the Modeling of Infectious Disease Agent Study ,NIH| Immune System Modeling/HIVShoya Iwanami; Keisuke Ejima; Kwang Su Kim; Koji Noshita; Yasuhisa Fujita; Taiga Miyazaki; Shigeru Kohno; Yoshitsugu Miyazaki; Shimpei Morimoto; Shinji Nakaoka; Yoshiki Koizumi; Yusuke Asai; Kazuyuki Aihara; Koichi Watashi; Robin N Thompson; Kenji Shibuya; Katsuhito Fujiu; Alan S. Perelson; Shingo Iwami; Takaji Wakita;[Background] Development of an effective antiviral drug for Coronavirus Disease 2019 (COVID-19) is a global health priority. Although several candidate drugs have been identified through in vitro and in vivo models, consistent and compelling evidence from clinical studies is limited. The lack of evidence from clinical trials may stem in part from the imperfect design of the trials. We investigated how clinical trials for antivirals need to be designed, especially focusing on the sample size in randomized controlled trials. [Methods and findings] A modeling study was conducted to help understand the reasons behind inconsistent clinical trial findings and to design better clinical trials. We first analyzed longitudinal viral load data for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) without antiviral treatment by use of a within-host virus dynamics model. The fitted viral load was categorized into 3 different groups by a clustering approach. Comparison of the estimated parameters showed that the 3 distinct groups were characterized by different virus decay rates (p-value < 0.001). The mean decay rates were 1.17 d−1 (95% CI: 1.06 to 1.27 d−1), 0.777 d−1 (0.716 to 0.838 d−1), and 0.450 d−1 (0.378 to 0.522 d−1) for the 3 groups, respectively. Such heterogeneity in virus dynamics could be a confounding variable if it is associated with treatment allocation in compassionate use programs (i.e., observational studies). Subsequently, we mimicked randomized controlled trials of antivirals by simulation. An antiviral effect causing a 95% to 99% reduction in viral replication was added to the model. To be realistic, we assumed that randomization and treatment are initiated with some time lag after symptom onset. Using the duration of virus shedding as an outcome, the sample size to detect a statistically significant mean difference between the treatment and placebo groups (1:1 allocation) was 13, 603 and 11, 670 (when the antiviral effect was 95% and 99%, respectively) per group if all patients are enrolled regardless of timing of randomization. The sample size was reduced to 584 and 458 (when the antiviral effect was 95% and 99%, respectively) if only patients who are treated within 1 day of symptom onset are enrolled. We confirmed the sample size was similarly reduced when using cumulative viral load in log scale as an outcome. We used a conventional virus dynamics model, which may not fully reflect the detailed mechanisms of viral dynamics of SARS-CoV-2. The model needs to be calibrated in terms of both parameter settings and model structure, which would yield more reliable sample size calculation. [Conclusions] In this study, we found that estimated association in observational studies can be biased due to large heterogeneity in viral dynamics among infected individuals, and statistically significant effect in randomized controlled trials may be difficult to be detected due to small sample size. The sample size can be dramatically reduced by recruiting patients immediately after developing symptoms. We believe this is the first study investigated the study design of clinical trials for antiviral treatment using the viral dynamics model. 数理モデルによる臨床試験シミュレータを開発 --感染症に対する標準治療法の早期確立に貢献--. 京都大学プレスリリース. 2021-07-07. Setting COVID-19 drug trials up for success. 京都大学プレスリリース. 2021-07-07.
CORE (RIOXX-UK Aggre... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8259968Data sources: PubMed CentralPLoS MedicineArticle . 2021Full-Text: http://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/264261/1/journal.pmed.1003660.pdfData sources: JAIROOxford University Research ArchiveArticle . 2023License: CC 0Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 6visibility views 6 download downloads 6 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8259968Data sources: PubMed CentralPLoS MedicineArticle . 2021Full-Text: http://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/264261/1/journal.pmed.1003660.pdfData sources: JAIROOxford University Research ArchiveArticle . 2023License: CC 0Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Publisher:Elsevier BV Funded by:NSF | Akeakamai: Indigenous Ex..., NSF | NSF INCLUDES DDLP: SPICE ...NSF| Akeakamai: Indigenous Explorations in Community-Based Science Learning ,NSF| NSF INCLUDES DDLP: SPICE (Supporting Pacific Indigenous Computing Excellence) Data Science Program for Native Hawaiians and Pacific IslandersC. Jansen; J.D. Baker; E. Kodaira; L. Ang; A.J. Bacani; J.T. Aldan; Lori M. N. Shimoda; M. Salameh; Andrea Small-Howard; Alexander J. Stokes; Helen Turner; Chaker N. Adra;Ethnopharmacological relevance Traditional pharmacopeias have been developed by multiple cultures and evaluated for efficacy and safety through both historical/empirical iteration and more recently through controlled studies using Western scientific paradigms and an increasing emphasis on data science methodologies for network pharmacology. Traditional medicines represent likely sources of relatively inexpensive drugs for symptomatic management as well as potential libraries of new therapeutic approaches. Leveraging this potential requires hard evidence for efficacy that separates science from pseudoscience. Materials and methods We performed a review of non-Western medical systems and developed case studies that illustrate the epistemological and practical translative barriers that hamper their transition to integration with Western approaches. We developed a new data analytics approach, in silico convergence analysis, to deconvolve modes of action, and potentially predict desirable components of TM-derived formulations based on computational consensus analysis across cultures and medical systems. Results Abstraction, simplification and altered dose and delivery modalities were identified as factors that influence actual and perceived efficacy once a medicine is moved from a non-Western to Western setting. Case studies on these factors highlighted issues with translation between non-Western and Western epistemologies, including those where epistemological and medicinal systems drive markets that can be epicenters for zoonoses such as the novel Coronavirus. The proposed novel data science approach demonstrated the ability to identify and predict desirable medicinal components for a test indication, pain. Conclusions Relegation of traditional therapies to the relatively unregulated nutraceutical industry may lead healthcare providers and patients to underestimate the therapeutic potential of these medicines. We suggest three areas of emphasis for this field: First, vertical integration and embedding of traditional medicines into healthcare systems would subject them to appropriate regulation and evidence-based practice, as viable integrative implementation mode. Second, we offer a new Bradford-Hill-like framework for setting research priorities and evaluating efficacy, with the goal of rescuing potentially valuable therapies from the nutraceutical market and discrediting those that are pseudoscience. Third, data analytics pipelines offer new capacity to generate new types of TMS-inspired medicines that are rationally-designed based on integrated knowledge across cultures, and also provide an evaluative framework against which to test claims of fidelity and efficacy to TMS made for nutraceuticals. Graphical abstract Schematic grouping of traditional medicine approaches. Schematic representation of out-grouping of formalized phytomedicines and phytopharmacopeias from other traditional medicine approaches and pseudoscientific approaches. The potential of each group of approaches to be evaluated and distributed across axes of the potential or actual scientific proof of efficacy, plausibility of mechanism of action, and the potential for placebo effect (likely related to perceived complexity).Image 1
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7577282Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7577282Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2023 Spain, Netherlands, Netherlands, Finland, Denmark, Netherlands, United States, Denmark, Netherlands, DenmarkPublisher:Oxford University Press (OUP) Funded by:NSF | EAGER: Protecting Univers..., NSF | Collaborative Research: R..., NIH | Implementing Vaccine and ... +2 projectsNSF| EAGER: Protecting University Communities from COVID-19 with Model-based Risk Management ,NSF| Collaborative Research: RAPID: Understanding and Facilitating Remote Triage and Rehabilitation During Pandemics via Visual Based Patient Physiologic Sensing ,NIH| Implementing Vaccine and Treatment Evaluation Unit (VTEU) Clinical Site ,NIH| Elucidating Airborne SARS-CoV-2 Infectivity at Single Aerosol Resolution ,NIH| Research Employing Environmental Systems and Occupational Health Policy Analyses to Interrupt the Impact of Structural Racism on Agricultural Workers and Their Respiratory Health (RESPIRAR)Lidia Morawska; William Bahnfleth; Philomena M Bluyssen; Atze Boerstra; Giorgio Buonanno; Stephanie J Dancer; Andres Floto; Francesco Franchimon; Charles Haworth; Jaap Hogeling; Christina Isaxon; Jose L Jimenez; Jarek Kurnitski; Yuguo Li; Marcel Loomans; Guy Marks; Linsey C Marr; Livio Mazzarella; Arsen Krikor Melikov; Shelly Miller; Donald K Milton; William Nazaroff; Peter V Nielsen; Catherine Noakes; Jordan Peccia; Xavier Querol; Chandra Sekhar; Olli Seppänen; Shin-ichi Tanabe; Raymond Tellier; Tham Kwok Wai; Pawel Wargocki; Aneta Wierzbicka;This is an account that should be heard of an important struggle: the struggle of a large group of experts who came together at the beginning of the COVID-19 pandemic to warn the world about the risk of airborne transmission and the consequences of ignoring it. We alerted the World Health Organization about the potential significance of the airborne transmission of SARS-CoV-2 and the urgent need to control it, but our concerns were dismissed. Here we describe how this happened and the consequences. We hope that by reporting this story we can raise awareness of the importance of interdisciplinary collaboration and the need to be open to new evidence, and to prevent it from happening again. Acknowledgement of an issue, and the emergence of new evidence related to it, is the first necessary step towards finding effective mitigation solutions. © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. Peer reviewed
NARCIS arrow_drop_down Clinical Infectious DiseasesArticle . 2023Data sources: Eindhoven University of Technology Research PortaleScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyAaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveVBN; Aalborg University Research PortalArticle . 2023Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/cid/ciad068&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 19visibility views 19 download downloads 26 Powered bymore_vert NARCIS arrow_drop_down Clinical Infectious DiseasesArticle . 2023Data sources: Eindhoven University of Technology Research PortaleScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyAaltodoc Publication ArchiveArticle . 2023 . Peer-reviewedData sources: Aaltodoc Publication ArchiveVBN; Aalborg University Research PortalArticle . 2023Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/cid/ciad068&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 GermanyPublisher:University of California Press Funded by:NSERC, NSF | The Management and Operat...NSERC ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR)Authors: Ortega, I.; Gaubert, B.; Hannigan, J.; Brasseur, G. ; https://orcid.org/0000-0001-6794-9497; +17 AuthorsOrtega, I.; Gaubert, B.; Hannigan, J.; Brasseur, G. ; https://orcid.org/0000-0001-6794-9497; Worden, H.; Blumenstock, T.; Fu, H.; Hase, F.; Jeseck, P.; Jones, N.; Liu, C.; Mahieu, E.; Morino, I.; Murata, I.; Notholt, J.; Palm, M.; Röhling, A.; Té, Y.; Strong, K.; Sun, Y.; Yamanouchi, S.;Anomalies of tropospheric columns of ozone (O$_3$), carbon monoxide (CO), acetylene (C$_2$H$_2$), formaldehyde (H$_2$CO), and ethane (C$_2$H$_6$) are quantified during the 2020 stringent COVID-19 world-wide lockdown using multiple ground-based Fourier-transform infrared spectrometers covering urban and remote conditions. We applied an exponential smoothing forecasting approach to the data sets to estimate business-as-usual values for 2020, which are then contrasted with actual observations. The Community Atmosphere Model with chemistry (CAM-chem) is used to simulate the same gases using lockdown-adjusted and business-as-usual emissions. The role of meteorology, or natural variability, is assessed with additional CAM-chem simulations. The tropospheric column of O$_3$ declined between March and May 2020 for most sites with a mean decrease of 9.2% ± 4.7%. Simulations reproduce these anomalies, especially under background conditions where natural variability explains up to 80% of the decline for sites in the Northern Hemisphere. While urban sites show a reduction between 1% and 12% in tropospheric CO, the remote sites do not show a significant change. Overall, CAM-chem simulations capture the magnitude of the anomalies and in many cases natural variability and lockdowns have opposite effects. We further used the long-term record of the Measurements of Pollution in the Troposphere (MOPITT) satellite instrument to capture global anomalies of CO. Reductions of CO vary highly across regions but North America and Europe registered lower values in March 2020. The absence of CO reduction in April and May, concomitant with reductions of anthropogenic emissions, is explained by a negative anomaly in the hydroxyl radical (OH) found with CAM-chem. The implications of these findings are discussed for methane (CH$_4$), which shows a positive lifetime anomaly during the COVID-19 lockdown period. The fossil fuel combustion by-product tracer C2H2 shows a mean drop of 13.6% ± 8.3% in urban Northern Hemisphere sites due to the reduction in emissions and in some sites exacerbated by natural variability. For some sites with anthropogenic influence there is a decrease in C$_2$H$_6$. The simulations capture the anomalies but the main cause may be related to natural variability. H$_2$CO declined during the stringent 2020 lockdown in all urban sites explained by reductions in emissions of precursors.
Elementa: Science of... arrow_drop_down Elementa: Science of the AnthropoceneArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1525/elementa.2023.00015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Elementa: Science of... arrow_drop_down Elementa: Science of the AnthropoceneArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022Publisher:Cold Spring Harbor Laboratory Funded by:NIH | Lagrangian computational ..., NSF | ABI: Innovation: Analyzin...NIH| Lagrangian computational modeling for biomedical data science ,NSF| ABI: Innovation: Analyzing Neuroglial Cell Dynamics in their Natural Environment with Video MicroscopyChenqi Zhang; Maik Herbig; Yuqi Zhou; Masako Nishikawa; Mohammad Shifat-E-Rabbi; Hiroshi Kanno; Ruoxi Yang; Yuma Ibayashi; Ting-Hui Xiao; Gustavo K. Rohde; Masataka Sato; Satoshi Kodera; Masao Daimon; Yutaka Yatomi; Keisuke Goda;pmid: 36772915
AbstractMicrovascular thrombosis is a typical symptom of COVID‐19 and shows similarities to thrombosis. Using a microfluidic imaging flow cytometer, we measured the blood of 181 COVID‐19 samples and 101 non‐COVID‐19 thrombosis samples, resulting in a total of 6.3 million bright‐field images. We trained a convolutional neural network to distinguish single platelets, platelet aggregates, and white blood cells and performed classical image analysis for each subpopulation individually. Based on derived single‐cell features for each population, we trained machine learning models for classification between COVID‐19 and non‐COVID‐19 thrombosis, resulting in a patient testing accuracy of 75%. This result indicates that platelet formation differs between COVID‐19 and non‐COVID‐19 thrombosis. All analysis steps were optimized for efficiency and implemented in an easy‐to‐use plugin for the image viewer napari, allowing the entire analysis to be performed within seconds on mid‐range computers, which could be used for real‐time diagnosis.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.13.22279890&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/2022.09.13.22279890&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:American Chemical Society (ACS) Funded by:NSF | EAGER: Portable device fo...NSF| EAGER: Portable device for rapid and label-free identification of COVID-19 using an ultra-miniature handheld Raman spectrometerKunyan Zhang; Ziyang Wang; He Liu; Néstor Perea-López; Jeewan C. Ranasinghe; George Bepete; Allen M. Minns; Randall M. Rossi; Scott E. Lindner; Sharon X. Huang; Mauricio Terrones; Shengxi Huang;pmid: 37552735
COVID-19 has cost millions of lives worldwide. The constant mutation of SARS-CoV-2 calls for thorough research to facilitate the development of variant surveillance. In this work, we studied the fundamental properties related to the optical identification of the receptor-binding domain (RBD) of SARS-CoV-2 spike protein, a key component of viral infection. The Raman modes of the SARS-CoV-2 RBD were captured by surface-enhanced Raman spectroscopy (SERS) using gold nanoparticles (AuNPs). The observed Raman enhancement strongly depends on the excitation wavelength as a result of the aggregation of AuNPs. The characteristic Raman spectra of RBDs from SARS-CoV-2 and MERS-CoV were analyzed by principal component analysis that reveals the role of secondary structures in the SERS process, which is corroborated with the thermal stability under laser heating. We can easily distinguish the Raman spectra of two RBDs using machine learning algorithms with accuracy, precision, recall, and
ACS Photonics arrow_drop_down ACS PhotonicsArticle . 2022 . Peer-reviewedLicense: https://doi.org/10.15223/policy-001Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1021/acsphotonics.2c00456&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert ACS Photonics arrow_drop_down ACS PhotonicsArticle . 2022 . Peer-reviewedLicense: https://doi.org/10.15223/policy-001Data sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, Italy, Belgium, Netherlands, SpainPublisher:IOP Publishing Funded by:NSF | Collaborative Research: E..., MESTD | Ministry of Education, Sc..., NSF | GCR: Collaborative Resear... +6 projectsNSF| Collaborative Research: ECO-CBET: Methane Conversion by Merging Atmospheric Plasma with Transition-Metal Catalysis ,MESTD| Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200024 (University of Belgrade, Institute of Physics, Belgrade-Zemun) ,NSF| GCR: Collaborative Research: Plasma-Biofilm Interactions at the Intersection of Physics, Chemistry, Biology and Engineering ,NSF| Collaborative Research: SusChEM: Mechanistic origins of synergetic effects in plasma catalysis ,EC| AEROSPACEPHYS ,NSF| GCR: Collaborative Research: Plasma-Biofilm Interactions at the Intersection of Physics, Chemistry, Biology and Engineering ,EC| SCOPE ,SNSF| Using Subsurface Structuring to Study Modified Long-range Interactions that Affect Adsorption of Molecules ,NSF| Collaborative Research: Understanding Plasma-Liquid Interactions Through Controlled Plasma-Microdroplet Experiments and ModelingI Adamovich; S Agarwal; E Ahedo; L L Alves; S Baalrud; N Babaeva; A Bogaerts; A Bourdon; P J Bruggeman; C Canal; E H Choi; S Coulombe; Z Donkó; D B Graves; S Hamaguchi; D Hegemann; M Hori; H-H Kim; G M W Kroesen; M J Kushner; A Laricchiuta; X Li; T E Magin; S Mededovic Thagard; V Miller; A B Murphy; G S Oehrlein; N Puac; R M Sankaran; S Samukawa; M Shiratani; M Šimek; N Tarasenko; K Terashima; E Thomas Jr; J Trieschmann; S Tsikata; M M Turner; I J van der Walt; M C M van de Sanden; T von Woedtke;handle: 10016/35429 , 2117/376648 , 10067/1892030151162165141
The 2022 Roadmap is the next update in the series of Plasma Roadmaps published by Journal of Physics D with the intent to identify important outstanding challenges in the field of low-temperature plasma (LTP) physics and technology. The format of the Roadmap is the same as the previous Roadmaps representing the visions of 41 leading experts representing 21 countries and five continents in the various sub-fields of LTP science and technology. In recognition of the evolution in the field, several new topics have been introduced or given more prominence. These new topics and emphasis highlight increased interests in plasma-enabled additive manufacturing, soft materials, electrification of chemical conversions, plasma propulsion, extreme plasma regimes, plasmas in hypersonics and data-driven plasma science. Cristina Canal acknowledges PID2019-103892RB-I00/AEI/10.13039/501100011033 Project (AEI) and the Generalitat de Catalunya for the ICREA Academia Award and SGR2017-1165. The research by Annemie Bogaerts was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Synergy Grant 810182 SCOPE). Eduardo Ahedo was funded by Spain's Agencia Estatal de Investigación, under Grant No. PID2019-108034RB-I00 (ESPEOS Project). Documento escrito por un elevado número de autores/as, solo se referencia el/la que aparece en primer lugar y los/as autores/as pertenecientes a la UC3M.
Journal of Physics D... arrow_drop_down Journal of Physics D Applied Physics; DIFFER: PublicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNARCISArticle . 2022Full-Text: https://pure.tue.nl/ws/files/212217499/Adamovich_2022_J._Phys._D_Appl._Phys._55_373001.pdfData sources: NARCISJournal of Physics D Applied PhysicsArticle . 2022Data sources: Eindhoven University of Technology Research PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCJournal of Physics D Applied PhysicsArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03715173/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1361-6463/ac5e1c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 136 citations 136 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 121visibility views 121 download downloads 203 Powered bymore_vert Journal of Physics D... arrow_drop_down Journal of Physics D Applied Physics; DIFFER: PublicationsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYNARCISArticle . 2022Full-Text: https://pure.tue.nl/ws/files/212217499/Adamovich_2022_J._Phys._D_Appl._Phys._55_373001.pdfData sources: NARCISJournal of Physics D Applied PhysicsArticle . 2022Data sources: Eindhoven University of Technology Research PortalRecolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTAUPCommons. Portal del coneixement obert de la UPCArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCJournal of Physics D Applied PhysicsArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenMémoires en Sciences de l'Information et de la CommunicationArticle . 2022Full-Text: https://hal.science/hal-03715173/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1361-6463/ac5e1c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:SAGE Publications Funded by:NSF | Belmont Forum Collaborati...NSF| Belmont Forum Collaborative Research:Data-driven Disaster Response Systems Dependent on Time of Day, Season and Location for MegacitiesMasahiko Haraguchi; Akihiko Nishino; Akira Kodaka; Maura Allaire; Upmanu Lall; Liao Kuei-Hsien; Kaya Onda; Kota Tsubouchi; Naohiko Kohtake;The impacts of disasters are increasing due to climate change and unplanned urbanization. Big and open data offer considerable potential for analyzing and predicting human mobility during disaster events, including the COVID-19 pandemic, leading to better disaster risk reduction (DRR) planning. However, the value of human mobility data and analysis (HMDA) in urban resilience research is poorly understood. This review highlights key opportunities for and challenges hindering the use of HMDA in DRR in urban planning and risk science, as well as insights from practitioners. A gap in research on HMDA for data-driven DRR planning was identified. By examining human mobility studies and their respective analytical and planning tools, this paper offers deeper insights into the challenges that must be addressed to improve the development of effective data-driven DRR planning, from data collection to implementation. In future work on HMDA, (i) the human mobility of vulnerable populations should be targeted, (ii) research should focus on disaster mitigation and prevention, (iii) analytical methods for evidence-based disaster planning should be developed, (iv) different types of data should be integrated into analyses to overcome methodological challenges, and (v) a decision-making framework should be developed for evidence-based urban planning through transdisciplinary knowledge co-production.
Environment and Plan... arrow_drop_down Environment and Planning B Urban Analytics and City ScienceArticle . 2022 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/23998083221075634&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Environment and Plan... arrow_drop_down Environment and Planning B Urban Analytics and City ScienceArticle . 2022 . Peer-reviewedData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/23998083221075634&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Japan Society of Kansei Engineering Funded by:NSF | IRES Track One: Involving...NSF| IRES Track One: Involving Undergraduates in Research on Design and Cross-Cultural Perceptions of Cuteness in Robotic GadgetsMichiko OHKURA; Midori SUGAYA; Peeraya SRIPIAN; Tipporn LAOHAKANGVALVIT; Hiroko CHIBA; Dave BERQUE;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5057/ijae.ijae-d-21-00015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5057/ijae.ijae-d-21-00015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 EnglishPublisher:Wiley Funded by:NSF | IIBR Informatics: Develop..., NIH | Structural Modeling of Mu..., NSF | Nanomanufacturing of Prot... +7 projectsNSF| IIBR Informatics: Development of Multimodal approaches for protein function prediction ,NIH| Structural Modeling of Multifarious Protein Complexes ,NSF| Nanomanufacturing of Protein Macromolecular Frameworks Through an Integrated Bioengineering and Computational Approach ,NIH| Center for Critical Assessment of Structure Prediction ,NIH| Building protein structure models for intermediate resolution cryo-electron microscopy maps ,NSF| III: Medium: Collaborative Research: Guiding Exploration of Protein Structure Spaces with Deep Learning ,NSF| Collaborative Research: RoL: Revealing a new mechanism of action for eukaryotic transcriptional activation domains ,NIH| Distance-based ab initio protein structure prediction ,NIH| Purdue University Molecular Biophysics Training Program ,NSF| ABI Innovation: Deep learning methods for protein bioinformaticsKryshtafovych, Andriy; Moult, John; Billings, Wendy M.; Della Corte, Dennis; Fidelis, Krzysztof; Kwon, Sohee; Olechnovič, Kliment; Seok, Chaok; Venclovas, Česlovas; Won, Jonghun; Adiyaman, Recep; McGuffin, Liam;CASP (Critical Assessment of Structure Prediction) is an organization aimed at advancing the state of the art in computing protein structure from sequence. In the spring of 2020, CASP launched a community project to compute the structures of the most structurally challenging proteins coded for in the SARS-CoV2 genome. Forty-seven research groups submitted over 3000 three-dimensional models and 700 sets of accuracy estimates on ten proteins. The resulting models were released to the public. CASP community members also worked together to provide estimates of local and global accuracy and identify structure-based domain boundaries for some proteins. Subsequently, two of these structures (ORF3a and ORF8) have been solved experimentally, allowing assessment of both model quality and the accuracy estimates. Models from the AlphaFold2 group were found to have good agreement with the experimental structures, with main chain GDT_TS accuracy scores ranging from 63 (a correct topology) to 87 (competitive with experiment).
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=core_ac_uk__::46473fa36a669aaa55b07559f2dbc03e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 28visibility views 28 download downloads 3 Powered bymore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=core_ac_uk__::46473fa36a669aaa55b07559f2dbc03e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 United KingdomPublisher:Public Library of Science (PLoS) Funded by:NSF | RAPID: Mathematical Model..., NIH | Modeling Viral and T Lymp..., NIH | COVID-19 Modeling Urgent ... +1 projectsNSF| RAPID: Mathematical Models for Understanding Key Epidemiological Parameters and Transmission of SARS-CoV-2 ,NIH| Modeling Viral and T Lymphocyte Dynamics ,NIH| COVID-19 Modeling Urgent Grant Program for the Modeling of Infectious Disease Agent Study ,NIH| Immune System Modeling/HIVShoya Iwanami; Keisuke Ejima; Kwang Su Kim; Koji Noshita; Yasuhisa Fujita; Taiga Miyazaki; Shigeru Kohno; Yoshitsugu Miyazaki; Shimpei Morimoto; Shinji Nakaoka; Yoshiki Koizumi; Yusuke Asai; Kazuyuki Aihara; Koichi Watashi; Robin N Thompson; Kenji Shibuya; Katsuhito Fujiu; Alan S. Perelson; Shingo Iwami; Takaji Wakita;[Background] Development of an effective antiviral drug for Coronavirus Disease 2019 (COVID-19) is a global health priority. Although several candidate drugs have been identified through in vitro and in vivo models, consistent and compelling evidence from clinical studies is limited. The lack of evidence from clinical trials may stem in part from the imperfect design of the trials. We investigated how clinical trials for antivirals need to be designed, especially focusing on the sample size in randomized controlled trials. [Methods and findings] A modeling study was conducted to help understand the reasons behind inconsistent clinical trial findings and to design better clinical trials. We first analyzed longitudinal viral load data for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) without antiviral treatment by use of a within-host virus dynamics model. The fitted viral load was categorized into 3 different groups by a clustering approach. Comparison of the estimated parameters showed that the 3 distinct groups were characterized by different virus decay rates (p-value < 0.001). The mean decay rates were 1.17 d−1 (95% CI: 1.06 to 1.27 d−1), 0.777 d−1 (0.716 to 0.838 d−1), and 0.450 d−1 (0.378 to 0.522 d−1) for the 3 groups, respectively. Such heterogeneity in virus dynamics could be a confounding variable if it is associated with treatment allocation in compassionate use programs (i.e., observational studies). Subsequently, we mimicked randomized controlled trials of antivirals by simulation. An antiviral effect causing a 95% to 99% reduction in viral replication was added to the model. To be realistic, we assumed that randomization and treatment are initiated with some time lag after symptom onset. Using the duration of virus shedding as an outcome, the sample size to detect a statistically significant mean difference between the treatment and placebo groups (1:1 allocation) was 13, 603 and 11, 670 (when the antiviral effect was 95% and 99%, respectively) per group if all patients are enrolled regardless of timing of randomization. The sample size was reduced to 584 and 458 (when the antiviral effect was 95% and 99%, respectively) if only patients who are treated within 1 day of symptom onset are enrolled. We confirmed the sample size was similarly reduced when using cumulative viral load in log scale as an outcome. We used a conventional virus dynamics model, which may not fully reflect the detailed mechanisms of viral dynamics of SARS-CoV-2. The model needs to be calibrated in terms of both parameter settings and model structure, which would yield more reliable sample size calculation. [Conclusions] In this study, we found that estimated association in observational studies can be biased due to large heterogeneity in viral dynamics among infected individuals, and statistically significant effect in randomized controlled trials may be difficult to be detected due to small sample size. The sample size can be dramatically reduced by recruiting patients immediately after developing symptoms. We believe this is the first study investigated the study design of clinical trials for antiviral treatment using the viral dynamics model. 数理モデルによる臨床試験シミュレータを開発 --感染症に対する標準治療法の早期確立に貢献--. 京都大学プレスリリース. 2021-07-07. Setting COVID-19 drug trials up for success. 京都大学プレスリリース. 2021-07-07.
CORE (RIOXX-UK Aggre... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8259968Data sources: PubMed CentralPLoS MedicineArticle . 2021Full-Text: http://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/264261/1/journal.pmed.1003660.pdfData sources: JAIROOxford University Research ArchiveArticle . 2023License: CC 0Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pmed.1003660&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 6visibility views 6 download downloads 6 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8259968Data sources: PubMed CentralPLoS MedicineArticle . 2021Full-Text: http://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/264261/1/journal.pmed.1003660.pdfData sources: JAIROOxford University Research ArchiveArticle . 2023License: CC 0Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pmed.1003660&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Publisher:Elsevier BV Funded by:NSF | Akeakamai: Indigenous Ex..., NSF | NSF INCLUDES DDLP: SPICE ...NSF| Akeakamai: Indigenous Explorations in Community-Based Science Learning ,NSF| NSF INCLUDES DDLP: SPICE (Supporting Pacific Indigenous Computing Excellence) Data Science Program for Native Hawaiians and Pacific IslandersC. Jansen; J.D. Baker; E. Kodaira; L. Ang; A.J. Bacani; J.T. Aldan; Lori M. N. Shimoda; M. Salameh; Andrea Small-Howard; Alexander J. Stokes; Helen Turner; Chaker N. Adra;Ethnopharmacological relevance Traditional pharmacopeias have been developed by multiple cultures and evaluated for efficacy and safety through both historical/empirical iteration and more recently through controlled studies using Western scientific paradigms and an increasing emphasis on data science methodologies for network pharmacology. Traditional medicines represent likely sources of relatively inexpensive drugs for symptomatic management as well as potential libraries of new therapeutic approaches. Leveraging this potential requires hard evidence for efficacy that separates science from pseudoscience. Materials and methods We performed a review of non-Western medical systems and developed case studies that illustrate the epistemological and practical translative barriers that hamper their transition to integration with Western approaches. We developed a new data analytics approach, in silico convergence analysis, to deconvolve modes of action, and potentially predict desirable components of TM-derived formulations based on computational consensus analysis across cultures and medical systems. Results Abstraction, simplification and altered dose and delivery modalities were identified as factors that influence actual and perceived efficacy once a medicine is moved from a non-Western to Western setting. Case studies on these factors highlighted issues with translation between non-Western and Western epistemologies, including those where epistemological and medicinal systems drive markets that can be epicenters for zoonoses such as the novel Coronavirus. The proposed novel data science approach demonstrated the ability to identify and predict desirable medicinal components for a test indication, pain. Conclusions Relegation of traditional therapies to the relatively unregulated nutraceutical industry may lead healthcare providers and patients to underestimate the therapeutic potential of these medicines. We suggest three areas of emphasis for this field: First, vertical integration and embedding of traditional medicines into healthcare systems would subject them to appropriate regulation and evidence-based practice, as viable integrative implementation mode. Second, we offer a new Bradford-Hill-like framework for setting research priorities and evaluating efficacy, with the goal of rescuing potentially valuable therapies from the nutraceutical market and discrediting those that are pseudoscience. Third, data analytics pipelines offer new capacity to generate new types of TMS-inspired medicines that are rationally-designed based on integrated knowledge across cultures, and also provide an evaluative framework against which to test claims of fidelity and efficacy to TMS made for nutraceuticals. Graphical abstract Schematic grouping of traditional medicine approaches. Schematic representation of out-grouping of formalized phytomedicines and phytopharmacopeias from other traditional medicine approaches and pseudoscientific approaches. The potential of each group of approaches to be evaluated and distributed across axes of the potential or actual scientific proof of efficacy, plausibility of mechanism of action, and the potential for placebo effect (likely related to perceived complexity).Image 1
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7577282Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jep.2020.113477&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2020Full-Text: http://europepmc.org/articles/PMC7577282Data sources: PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jep.2020.113477&type=result"></script>'); --> </script>
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