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Constraining the coupled channel dynamics using femtoscopic correlations at the LHC

The european Physical Journal C 2023年第4期83卷 1-21页

作者： Acharya, S. Adamová, D. Adler, A. Aglieri Rinella, G. Agnello, M. Agrawal, N. Ahammed, Z. Ahmad, S. Ahn, S. U. Ahuja, I. Akindinov, A. Al-Turany, M. Suaide, A. A. P. Aleksandrov, D. Alessandro, B. Alfanda, H. M. Alfaro Molina, R. Ali, B. Ali, Y. Alici, A. Alizadehvandchali, N. Alkin, A. Alme, J. Alocco, G. Alt, T. Altsybeev, I. Garcia, J. R. A. Anaam, M. N. Andrei, C. Andronic, A. Anguelov, V. Antinori, F. Antonioli, P. Apadula, N. Aphecetche, L. Appelshäuser, H. Arata, C. Arcelli, S. Arnaldi, R. Arsene, I. C. Arslandok, M. Diaz, R. A. Augustinus, A. Averbeck, R. Aziz, S. Azmi, M. D. Badalà, A. Saramela, T. B. Baek, Y. W. Bai, X. Bailhache, R. Bailung, Y. Bala, R. Balbino, A. Baldisseri, A. Balis, B. Banerjee, D. Banoo, Z. Barbera, R. Barioglio, L. Barlou, M. Barnaföldi, G. G. Barnby, L. S. Barreto, L. Bartels, C. Barth, K. Bartsch, e. Baruffaldi, F. Butt, J. B. Bastid, N. Basu, S. Batigne, G. Battistini, D. Batyunya, B. Bauri, D. Bazo Alba, J. L. Bearden, I. G. Beattie, C. Becht, P. Behera, D. Belikov, I. Bell Hechavarria, A. D. C. Bellini, F. Bellwied, R. Belokurova, S. Belyaev, V. Bencedi, G. Beole, S. Bercuci, A. Berdnikov, Y. Berdnikova, A. Bergmann, L. Ferrer, M. B. Besoiu, M. G. Betev, L. Bhaduri, P. P. Bhasin, A. Bhat, M. A. Bhattacharjee, B. Bianchi, L. Bianchi, N. Bielčík, J. Bielčíková, J. Biernat, J. Bigot, A. P. Bilandzic, A. Biro, G. Biswas, S. Bize, N. Blair, J. T. Blau, D. Blidaru, M. B. Bluhme, N. Blume, C. Boca, G. Bock, F. Bodova, T. Bogdanov, A. Boi, S. Bok, J. Boldizsár, L. Bolozdynya, A. Bombara, M. Bond, P. M. Bonomi, G. Borel, H. Borissov, A. Bossi, H. Botta, e. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broz, M. Bruno, G. e. Buckland, M. D. Budnikov, D. Buesching, H. Bufalino, S. Bugnon, O. Buhler, P. Buthelezi, Z. Bylinkin, A. Bysiak, S. A. Cai, M. Caines, H. Caliva, A. Calvo Villar, e. Camerini, P. Carabas, M. Carnesecchi, F. Caron, R. Castillo Castellanos, J. Catalano, F. Ceballos Sanchez, C. Chakaberia, I. Chakraborty, P. Anuj, C. Chandra, S. Chapeland, S. Chartier, M. Chattopadhyay, Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Nuclear Physics Institute of the Czech Academy of Sciences Husinec-Řež Czech Republic Fachbereich Informatik und Mathematik Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Frankfurt Germany European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy Sezione di Bologna INFN Bologna Italy Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Faculty of Science P.J. Šafárik University Kosice Slovak Republic Affiliated with an Institute Covered by a Cooperation Agreement with CERN Geneva Switzerland Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany Universidade de São Paulo (USP) São Paulo Brazil Sezione di Torino INFN Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico COMSATS University Islamabad Islamabad Pakistan Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN Bologna Italy University of Houston Houston USA Department of Physics and Technology University of Bergen Bergen Norway Sezione di Cagliari INFN Cagliari Italy Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany High Energy Physics Group Universidad Autónoma de Puebla Puebla Mexico Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania Westfälische Wilhelms-Universität Münster Institut für Kernphysik Münster Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Sezione di Padova INFN Padua Italy Lawrence Berkeley National Laboratory Berkeley USA SUBATECH IMT Atlantique Nantes Université CNR

The interaction of $$\textrm{K}^{-}$$ with protons is characterised by the presence of several coupled channels, systems like $${\overline{\textrm{K}}}^0$$ n and $$\uppi \Sigma $$ with a similar mass and the same quantum numbers as the $$\textrm{K}^{-}$$ p state. The strengths of these couplings to the $$\textrm{K}^{-}$$ p system are of crucial importance for the understanding of the nature of the $$\Lambda (1405)$$ resonance and of the attractive $$\textrm{K}^{-}$$ p strong interaction. In this article, we present measurements of the $$\textrm{K}^{-}$$ p correlation functions in relative momentum space obtained in pp collisions at $$\sqrt{s}~=~13$$ Te, in p–Pb collisions at $$\sqrt{s_{\textrm{NN}}}~=~5.02$$ Te, and (semi)peripheral Pb–Pb collisions at $$\sqrt{s_{\textrm{NN}}}~=~5.02$$ Te. The emitting source size, composed of a core radius anchored to the $$\textrm{K}^{+}$$ p correlation and of a resonance halo specific to each particle pair, varies between 1 and 2 fm in these collision systems. The strength and the effects of the $${\overline{\textrm{K}}}^0$$ n and $$\uppi \Sigma $$ inelastic channels on the measured $$\textrm{K}^{-}$$ p correlation function are investigated in the different colliding systems by comparing the data with state-of-the-art models of chiral potentials. A novel approach to determine the conversion weights $$\omega $$ , necessary to quantify the amount of produced inelastic channels in the correlation function, is presented. In this method, particle yields are estimated from thermal model predictions, and their kinematic distribution from blast-wave fits to measured data. The comparison of chiral potentials to the measured $$\textrm{K}^{-}$$ p interaction indicates that, while the $$\uppi \Sigma $$ – $$\textrm{K}^{-}$$ p dynamics is well reproduced by the model, the coupling to the $${\overline{\textrm{K}}}^0$$ n channel in the model is currently underestimated.

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An Open-Source Knowledge Graph ecosystem for the Life sciences

arXiv

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arXiv 2023年

作者： Callahan, Tiffany J. Tripodi, Ignacio J. Stefanski, Adrianne L. Cappelletti, Luca Taneja, Sanya B. Wyrwa, Jordan M. Casiraghi, elena Matentzoglu, Nicolas A. Reese, Justin Silverstein, Jonathan C. Hoyt, Charles Tapley Boyce, Richard D. Malec, Scott A. Unni, Deepak R. Joachimiak, Marcin P. Robinson, Peter N. Mungall, Christopher J. Cavalleri, emanuele Fontana, Tommaso Valentini, Giorgio Mesiti, Marco Gillenwater, Lucas A. Santangelo, Brook Vasilevsky, Nicole A. Hoehndorf, Robert Bennett, Tellen D. Ryan, Patrick B. Hripcsak, George Kahn, Michael G. Bada, Michael Baumgartner, William A. Hunter, Lawrence e. Computational Bioscience Program University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Biomedical Informatics Columbia University Irving Medical Center New YorkNY10032 United States Computer Science Department Interdisciplinary Quantitative Biology University of Colorado Boulder BoulderCO80301 United States AnacletoLab Computer Science Department University of Milan 20122 Italy Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Department of Physical Medicine and Rehabilitation School of Medicine University of Colorado Anschutz Medical Campus AuroraCO80045 United States Division of Environmental Genomics and Systems Biology Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Semanticly Ltd Athens Greece Department of Biomedical Informatics University of Pittsburgh School of Medicine PittsburghPA15206 United States Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States Division of Translational Informatics University of New Mexico School of Medicine AlbuquerqueNM87131 United States SIB Swiss Institute of Bioinformatics Basel Switzerland Berlin Institute of Health at Charité-Universitatsmedizin Berlin10117 Germany ELLIS European Laboratory for Learning and Intelligent Systems Germany Department of Biomedical Informatics University of Colorado School of Medicine AuroraCO80045 United States Data Collaboration Center Critical Path Institute 1840 E River Rd. Suite 100 TucsonAZ85718 United States Computer Electrical and Mathematical Sciences & Engineering Division Computational Bioscience Research Center King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Department of Pediatrics University of Colorado School of Medicine AuroraCO80045 United States Janssen Research and Development RaritanNJ08869 United States Division of General Internal Medicine University of Colorado School of Medicine A

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, and methods exist to construct them automatically. However, tackling complex biomedical integration problems requires flexibility in the way knowledge is modeled. Moreover, existing KG construction methods provide robust tooling at the cost of fixed or limited choices among knowledge representation models. PheKnowLator (Phenotype Knowledge Translator) is a semantic ecosystem for automating the FAIR (Findable, Accessible, Interoperable, and Reusable) construction of ontologically grounded KGs with fully customizable knowledge representation. The ecosystem includes KG construction resources (e.g., data preparation APIs), analysis tools (e.g., SPARQL endpoints and abstraction algorithms), and benchmarks (e.g., prebuilt KGs and embeddings). We evaluated the ecosystem by systematically comparing it to existing open-source KG construction methods and by analyzing its computational performance when used to construct 12 large-scale KGs. With flexible knowledge representation, PheKnowLator enables fully customizable KGs without compromising performance or usability. © 2023, CC BY.

关键词： ecosystems

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Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source

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Fuel 2022年第PartC期324卷

作者： Said, Zafar Nguyen, Tuan Hai Sharma, Prabhakar Li, Changhe Ali, Hafiz Muhammad Nguyen, Van Nhanh Pham, Van Viet Ahmed, Shams Forruque Van, Dong Nguyen Truong, Thanh Hai Department of Sustainable and Renewable Energy Engineering University of Sharjah P. O. Box 27272 Sharjah United Arab Emirates U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E) National University of Sciences and Technology (NUST) Islamabad Pakistan Faculty of Technology Dong Nai Technology University Dong Nai 76000 Viet Nam Mechanical Engineering Department Delhi Skill and Entrepreneurship University Delhi 110089 India School of Mechanical and Automotive Engineering Qingdao University of Technology Qingdao 266520 China Mechanical Engineering Department King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Institute of Engineering HUTECH University Ho Chi Minh City Viet Nam Faculty of Marine Engineering Vietnam Maritime University Haiphong Viet Nam Science and Math Program Asian University for Women Chattogram 4000 Bangladesh University of Science and Technology The University of Danang Viet Nam PATET Research Group Ho Chi Minh City University of Transport Ho Chi Minh City Viet Nam

The aviation sector has been one of the most significant contributors to greenhouse gas (GHG) emissions;there is an urgent need to transition from traditional fossil-based jet fuel to sustainable aviation fuel to meet net-zero targets by 2030. The use of renewable aviation fuel may be regarded as the most effective option for reducing GHG emissions in the aviation sector while allowing for long-term growth. In this study, the microalgae oil was transformed to develop hydrocarbons with the boiling point range of jet fuel. Following the transesterification of algal oil fatty acids to algal oil methyl ester, fractional distillation was carried out. The Box-Behnken technique was used to design experiments for efficient resource utilization by minimizing the number of tests during transesterification. The quantitative relationship function between input (molar ratio of methanol to oil, catalyst concentration, and temperature) and % yield of methyl ester as an output of the process was developed using analysis of variance (ANOVA). The ANFIS (adaptive neuro-fuzzy inference system) was utilized to develop a prognostic model with good prediction effectiveness. MORSM (multi-objective response surface methodology) was also used to build a prediction model using correlations. A set of statistical indicators and Theil's U2 were used to examine the prediction efficacy and model uncertainty of ANFIS and MORSM. On both statistical indices and Theil's U2, the ANFIS-based model outperformed. To get the best results, the desirability approach was used to improve operating parameters. According to the desirability approach, the best operating parameters were catalyst concentration at 2.09%, methanol to oil ratio at 9.17%, and temperature at 60.49 °C, which resulted in the greatest yield of 91%. © 2022 elsevier Ltd

关键词： Alternative fuel Jet fuel Microalgae Optimization Sustainable aviation fuel

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Development and Psychometric Testing of the Clinical Reasoning Scale Among Nursing Students enrolled in Three Types of programs in Taiwan

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The journal of nursing research : JNR 2023年第2期31卷 e263页

作者： Hui-Man Huang Chu-Yu Huang Kuan-Chia Lin Chia-Hui Yu Su-Fen Cheng PhD RN Assistant Professor School of Nursing Tzu Chi University of Science and Technology Hualien Taiwan ROC. PhD RN Professor School of Nursing Cedarville University Ohio USA. PhD Professor National Yang Ming Chiao Tung University Taipei Taiwan ROC. PhD RN Assistant Professor Mass Communication Center Chung Shan Medical University Hospital and School of Nursing Chung Shan Medical University Taichung City Taiwan ROC. PhD RN Professor Department of Health Allied Education and E-learning National Taipei University of Nursing and Health Sciences Taipei Taiwan ROC.

BACKGROUND:There is no instrument currently available to assess the essential nursing competency of clinical reasoning (CR). PURPOSe:The purpose of this study was to develop and test the psychometric properties of CR assessment instrument appropriate for use with nursing students across different types of programs. MeTHODS:H. M. Huang et al.'s (2018) Framework of Competencies of Clinical Reasoning for Nursing Students was used to guide this study. Two rounds of Delphi study and confirmatory factor analysis (CFA) were conducted to test content and construct validity. Internal consistency was tested for reliability. ReSULTS:The four-domain, 16-item Likert-scale Clinical Reasoning Scale (CRS) was developed. One thousand five hundred four nursing students currently enrolled in three different types of nursing programs completed the CRS. The content validity index was .85-1.0, the CFA indicated goodness of fit, and the Cronbach's α score range was .78-.89. CONCLUSION:The CRS is a valid and reliable tool for assessing CR in nursing students in different types of nursing program.

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Quantum Simulation for High-energy Physics

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PRX Quantum 2023年第2期4卷 027001-027001页

作者： Christian W. Bauer Zohreh Davoudi A. Baha Balantekin Tanmoy Bhattacharya Marcela Carena Wibe A. de Jong Patrick Draper Aida el-Khadra Nate Gemelke Masanori Hanada Dmitri Kharzeev Henry Lamm Ying-Ying Li Junyu Liu Mikhail Lukin Yannick Meurice Christopher Monroe Benjamin Nachman Guido Pagano John Preskill enrico Rinaldi Alessandro Roggero David I. Santiago Martin J. Savage Irfan Siddiqi George Siopsis David Van Zanten Nathan Wiebe Yukari Yamauchi Kübra Yeter-Aydeniz Silvia Zorzetti Physics Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Department of Physics Maryland Center for Fundamental Physics and the NSF Institute for Robust Quantum Simulation University of Maryland College Park Maryland 20742 USA Department of Physics University of Wisconsin Madison Wisconsin 53706 USA T-2 Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Fermi National Accelerator Laboratory Batavia Illinois 60510 USA Enrico Fermi Institute University of Chicago Chicago Illinois 60637 USA Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Department of Physics University of Chicago Chicago Illinois 60637 USA Department of Physics and Illinois Center for the Advanced Study of the Universe and Illinois Quantum Information Science and Technology Center University of Illinois Urbana Illinois 61801 USA QuEra Computing Inc Boston Massachusetts 02135 USA Department of Mathematics University of Surrey Guildford Surrey GU2 7XH United Kingdom Center for Nuclear Theory Department of Physics and Astronomy Stony Brook University New York 11794-3800 USA Department of Physics Brookhaven National Laboratory Upton New York 11973 USA Peng Huanwu Center for Fundamental Theory Hefei Anhui 230026 China Interdisciplinary Center for Theoretical Study University of Science and Technology of China Hefei Anhui 230026 China Pritzker School of Molecular Engineering Chicago Quantum Exchange and Kadanoff Center for Theoretical Physics University of Chicago Illinois 60637 USA qBraid Co. Harper Court 5235 Chicago Illinois 60615 USA Department of Physics Harvard University Cambridge Massachusetts 02138 USA Department of Physics and Astronomy University of Iowa Iowa City Iowa 52242 USA Duke Quantum Center Duke University Durham North Carolina 27701 USA Department of Electrical and Computer Engineering Duke University Durham North Carolina 27708 USA Department of Physics Duke University

It is for the first time that quantum simulation for high-energy physics (HeP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community. This fact speaks of a remarkable rate of growth of this subfield over the past few years, stimulated by the impressive advancements in quantum information sciences (QIS) and associated technologies over the past decade, and the significant investment in this area by the government and private sectors in the U.S. and other countries. High-energy physicists have quickly identified problems of importance to our understanding of nature at the most fundamental level, from tiniest distances to cosmological extents, that are intractable with classical computers but may benefit from quantum advantage. They have initiated, and continue to carry out, a vigorous program in theory, algorithm, and hardware co-design for simulations of relevance to the HeP mission. This Roadmap is an attempt to bring this exciting and yet challenging area of research to the spotlight, and to elaborate on what the promises, requirements, challenges, and potential solutions are over the next decade and beyond.

关键词： Quantum simulation

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International Society for extracellular Vesicles workshop. QuantitateVs: Multiscale analyses, from bulk to single extracellular vesicle

Journal of Extracellular Biology

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Journal of extracellular Biology 2024年第1期3卷 e137页

作者： Basso, Manuela Gori, Alessandro Nardella, Caterina Palviainen, Mari Holcar, Marija Sotiropoulos, Ioannis Bobis-Wozowicz, Sylwia Casarotto, elena Ciani, Yari Suetsugu, Shiro Gualerzi, Alice Martin-Jaular, Lorena Boselli, Daniela Kashkanova, Anna Parisse, Pietro Lippens, Lien Pagliuca, Martina Blessing, Martin Frigerio, Roberto Fourniols, Thibaut Meliciano, Ana Fietta, Anna Fioretti, Paolo Vincenzo Soroczyńska, Karolina Picciolini, Silvia Salviano-Silva, Amanda Bergese, Paolo Zocco, Davide Chiari, Marcella Jenster, Guido Waldron, Levi Milosavljevic, Aleksandar Nolan, John Monopoli, Marco P. Witwer, Kenneth W. Bussolati, Benedetta Di Vizio, Dolores Falcon Perez, Juan Lenassi, Metka Cretich, Marina Demichelis, Francesca Department of Cellular Computational and Integrative Biology (CIBIO) University of Trento Trento Italy National Research Council of Italy Istituto di Scienze e Tecnologie Chimiche (SCITEC-CNR) Milan Italy EV group Molecular and Integrative Biosciences Research Program Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland Institute of Biochemistry and Molecular Genetics Faculty of Medicine University of Ljubljana Ljubljana Slovenia Institute of Biosciences & Applications National Center for Scientific Research (NCSR) Demokritos Paraskevi Greece Faculty of Biochemistry Biophysics and Biotechnology Department of Cell Biology Jagiellonian University Krakow Poland Dipartimento di Scienze Farmacologiche e Biomolecolari “Rodolfo Paoletti” (DiSFeB) Dipartimento di Eccellenza Università degli Studi di Milano Milan Italy Division of Biological Science Graduate School of Science and Technology Nara Institute of Science and Technology Ikoma Japan IRCCS Fondazione Don Carlo Gnocchi Milan Italy Institut Curie PSL University Inserm U932 Immunity and Cancer Paris France FRACTAL (Flow Cytometry Resource Advanced Cytometry Technical Applications Laboratory) San Raffaele Scientific Institute Milan Italy Max Planck Institute for the Science of Light Erlangen Germany National Research Council of Italy Istituto Officina dei Materiali (IOM-CNR) Trieste Italy Department of Human Structure and Repair Laboratory of Experimental Cancer Research Ghent University Ghent Belgium Cancer Research Institute Ghent Ghent Belgium Molecular Predictors and New Targets in Oncology Gustave Roussy Villejuif France Clinical and Translational Oncology Scuola Superiore Meridionale Naples Italy EverZom Paris France iBET-Instituto de Biologia Experimental e Tecnológica Oeiras Portugal Department of Biomedical Sciences (DSB) University of Padua Padua Italy Fondazione Istituto di Ricerca Pediatrica Città della Speranza (IRP) Padua Italy Medical University of

The “QuantitateVs: multiscale analyses, from bulk to single vesicle” workshop aimed to discuss quantitative strategies and harmonized wet and computational approaches toward the comprehensive analysis of extracellular vesicles (eVs) from bulk to single vesicle analyses with a special focus on emerging technologies. The workshop covered the key issues in the quantitative analysis of different eV-associated molecular components and eV biophysical features, which are considered the core of eV-associated biomarker discovery and validation for their clinical translation. The in-person-only workshop was held in Trento, Italy, from January 31^st to February 2^nd, 2023, and continued in Milan on February 3^rd with “Next Generation eVs,” a satellite event dedicated to early career researchers (eCR). This report summarizes the main topics and outcomes of the workshop. © 2024 The Authors. Journal of extracellular Biology published by Wiley Periodicals LLC on behalf of International Society for extracellular Vesicles.

关键词： multiomics analysis multiscale analysis quantitative biology single vesicle

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Gliese 12 b: A Temperate earth-sized Planet at 12 pc Ideal for Atmospheric Transmission Spectroscopy

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Astrophysical Journal Letters 2024年第2期967卷 L21-L21页

作者： Kuzuhara, Masayuki Fukui, Akihiko Livingston, John H. Caballero, José A. de Leon, Jerome P. Hirano, Teruyuki Kasagi, Yui Murgas, Felipe Narita, Norio Omiya, Masashi Orell-Miquel, Jaume Palle, enric Changeat, Quentin esparza-Borges, emma Harakawa, Hiroki Hellier, Coel Hori, Yasunori Ikuta, Kai Ishikawa, Hiroyuki Tako Kodama, Takanori Kotani, Takayuki Kudo, Tomoyuki Morales, Juan C. Mori, Mayuko Nagel, evangelos Parviainen, Hannu Perdelwitz, Volker Reiners, Ansgar Ribas, Ignasi Sanz-Forcada, Jorge Sato, Bun’ei Schweitzer, Andreas Tabernero, Hugo M. Takarada, Takuya Uyama, Taichi Watanabe, Noriharu Zechmeister, Mathias García, Néstor Abreu Aoki, Wako Beichman, Charles Béjar, Víctor J. S. Brandt, Timothy D. Calatayud-Borras, Yéssica Carleo, Ilaria Charbonneau, David Collins, Karen A. Currie, Thayne Doty, John P. Dreizler, Stefan Fernández-Rodríguez, Gareb Fukuda, Izuru Galán, Daniel Geraldía-González, Samuel González-Garcia, Josafat Hayashi, Yuya Hedges, Christina Henning, Thomas Hodapp, Klaus Ikoma, Masahiro Isogai, Keisuke Jacobson, Shane Janson, Markus Jenkins, Jon M. Kagetani, Taiki Kambe, eiji Kawai, Yugo Kawauchi, Kiyoe Kokubo, eiichiro Konishi, Mihoko Korth, Judith Krishnamurthy, Vigneshwaran Kurokawa, Takashi Kusakabe, Nobuhiko Kwon, Jungmi Laza-Ramos, Andrés Libotte, Florence Luque, Rafael Madrigal-Aguado, Alberto Matsumoto, Yuji Mawet, Dimitri Mcelwain, Michael W. Gallardo, Pedro Pablo Meni Morello, Giuseppe Torres, Sara Muñoz Nishikawa, Jun Nugroho, Stevanus K. Ogihara, Masahiro Peláez-Torres, Alberto Rapetti, David Sánchez-Benavente, Manuel Schlecker, Martin Seager, Sara Serabyn, eugene Serizawa, Takuma Stangret, Monika Takahashi, Aoi Teng, Huan-Yu Tamura, Motohide Terada, Yuka Ueda, Akitoshi Usuda, Tomonori Vanderspek, Roland Vievard, Sébastien Watanabe, David Winn, Joshua N. Zapatero Osorio, Maria Rosa Astrobiology Center NINS 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan National Astronomical Observatory of Japan NINS 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Komaba Institute for Science The University of Tokyo 3-8-1 Komaba Meguro Tokyo 153-8902 Japan Instituto de Astrofísica de Canarias (IAC) La Laguna Tenerife E-38200 Spain Astronomical Science Program Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Centro de Astrobiología CSIC-INTA Camino Bajo del Castillo s/n Villanueva de la Cañada Madrid E-28692 Spain Department of Multi-Disciplinary Sciences Graduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba Meguro Tokyo 153-8902 Japan Departamento de Astrofísica Universidad de La Laguna (ULL) La Laguna Tenerife E-38206 Spain European Space Agency (ESA) ESA Office Space Telescope Science Institute (STScI) Baltimore 21218 MD United States Department of Physics and Astronomy University College London Gower Street London WC1E 6BT United Kingdom National Astronomical Observatory of Japan 650 North A‘ohōkū Place Hilo 96720 HI United States Astrophysics Group Keele University Staffordshire ST5 5BG United Kingdom Department of Physics and Astronomy The University of Western Ontario 1151 Richmond Street London N6A 3K7 ON Canada Earth-Life Science Institute (ELSI) Tokyo Institute of Technology 2-12-1-I7E-315 Ookayama Meguro-ku Tokyo 152-8550 Japan Institut de Ciències de l’Espai (ICE CSIC) Campus UAB Can Magrans s/n Bellaterra Barcelona 08193 Spain Institut d’Estudis Espacials de Catalunya (IEEC) c/ Gran Capità 2-4 Barcelona 08034 Spain Institut für Astrophysik und Geophysik Georg-August-Universität Friedrich-Hund-Platz 1 Göttingen 37077 Germany Department of Physics Ariel University Ariel 40700 Israel Department of Earth and Planetary Sciences School of Science Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo 152-8551 Japan Hamburger Sternwarte Goje

Recent discoveries of earth-sized planets transiting nearby M dwarfs have made it possible to characterize the atmospheres of terrestrial planets via follow-up spectroscopic observations. However, the number of such planets receiving low insolation is still small, limiting our ability to understand the diversity of the atmospheric composition and climates of temperate terrestrial planets. We report the discovery of an earth-sized planet transiting the nearby (12 pc) inactive M3.0 dwarf Gliese 12 (TOI-6251) with an orbital period (P _orb) of 12.76 days. The planet, Gliese 12 b, was initially identified as a candidate with an ambiguous P _orb from TeSS data. We confirmed the transit signal and P _orb using ground-based photometry with MuSCAT2 and MuSCAT3, and validated the planetary nature of the signal using high-resolution images from Gemini/NIRI and Keck/NIRC2 as well as radial velocity (RV) measurements from the InfraRed Doppler instrument on the Subaru 8.2 m telescope and from CARMeNeS on the CAHA 3.5 m telescope. X-ray observations with XMM-Newton showed the host star is inactive, with an X-ray-to-bolometric luminosity ratio of log L X / L bol ≈ − 5.7 . Joint analysis of the light curves and RV measurements revealed that Gliese 12 b has a radius of 0.96 ± 0.05 R _⊕, a 3σ mass upper limit of 3.9 M _⊕, and an equilibrium temperature of 315 ± 6 K assuming zero albedo. The transmission spectroscopy metric (TSM) value of Gliese 12 b is close to the TSM values of the TRAPPIST-1 planets, adding Gliese 12 b to the small list of potentially terrestrial, temperate planets amenable to atmospheric characterization with JWST. © 2024. The Author(s). Published by the American Astronomical Society.

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The application of an extracellular vesicle-based biosensor in early diagnosis and prediction of chemoresponsiveness in ovarian cancer

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Cancer Letters 2024年 581卷 216533-216533页

作者： Tsang, Benjamin K. Asare-Werehene, Meshach Hunter, Rob Gerber, emma Reunov, Arkadiy Brine, Isaiah Chang, Chia-Yu Chang, Chia-Ching Shieh, Dar-Bin Burger, Dylan Anis, Hanan Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine Centre for Infection Immunity and Inflammation Interdisciplinary School of Health Sciences University of Ottawa Ottawa ON K1N 6N5 Canada Chronic Disease Program Ottawa Hospital Research Institute The Ottawa Hospital Ottawa ON K1Y 4E9 Canada Department of Biology St. Francis Xavier University 2320 Notre Dame Avenue Antigonish NS B2G 2W5 Canada School of Electrical Engineering and Computer Science Ottawa-Carleton Institute for Biomedical Engineering University of Ottawa Ottawa ON K1N 6N5 Canada Department of Biological Science and Department of Electrophysics Technology Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu 30068 Taiwan Institute of Basic Medical Science Institute of Oral Medicine and Department of Stomatology Advanced Optoelectronic Technology Center and Center for Micro/Nano Science and Technology National Cheng Kung University Hospital National Cheng Kung University Tainan 704 Taiwan Institute of Physics Academia Sinica Taipei 10529 Taiwan

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ALMA Survey of Orion Planck Galactic Cold Clumps (ALMASOP): A Forming Quadruple System with Continuum "ribbons" and Intricate Outflows

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Astrophysical Journal Letters 2023年第1期952卷 L2-L2页

作者： Luo, Qiu-Yi Liu, Tie Lee, Aaron T. Offner, Stella S. R. Di Francesco, James Johnstone, Doug Juvela, Mika Goldsmith, Paul F. Qin, Sheng-Li Mai, Xiaofeng Liu, Xun-Chuan Sanhueza, Patricio Xu, Feng-Wei Tatematsu, Ken'Ichi Dutta, Somnath Chen, Huei-Ru Vivien Li, Shanghuo Yang, Aiyuan Liu, Sheng-Yuan Lee, Chin-Fei Hirano, Naomi Lee, Chang Won Sahu, Dipen Shang, Hsien Hsu, Shih-Ying Bronfman, Leonardo Kwon, Woojin Rawlings, M.G. eden, David Lu, Xing Gu, Qi-Lao Ren, Zhiyuan Ward-Thompson, D. Shen, Zhi-Qiang Shanghai Astronomical Observatory Chinese Academy of Sciences 80 Nandan Road Shanghai 200030 China School of Astronomy and Space Sciences University of Chinese Academy of Sciences No. 19A Yuquan Road Beijing 100049 China Department of Physics and Astronomy Saint Mary's College of California 1928 Saint Mary's Road Moraga 94575 CA United States Department of Astronomy University of Texas Austin Austin 78712 TX United States NRC Herzberg Astronomy and Astrophysics 5071 West Saanich Road Victoria V9E 2E7 BC Canada Department of Physics and Astronomy University of Victoria 3800 Finnerty Road Elliot Building Victoria V8P 5C2 BC Canada Department of Physics University of Helsinki P.O. Box 64 FI-00014 Finland Jet Propulsion Laboratory California Institute of Technology Pasadena 91109 CA United States Department of Astronomy Yunnan University Kunming 650091 China National Astronomical Observatory of Japan National Institutes of Natural Sciences 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Department of Astronomical Science SOKENDAI (The Graduate University for Advanced Studies) 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Department of Astronomy School of Physics Peking University Beijing 100871 China Kavli Institute for Astronomy and Astrophysics Peking University Haidian District Beijing 100871 China Nobeyama Radio Observatory National Astronomical Observatory of Japan National Institutes of Natural Sciences Nobeyama Minamimaki Minamisaku Nagano 384-1305 Japan Astronomical Science Program Graduate Institute for Advanced Studies SOKENDAI 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Academia Sinica Institute of Astronomy and Astrophysics 11F of AS/NTU Astronomy-Mathematics Building No.1 Sec. 4 Roosevelt Rd Taipei 10617 Taiwan Institute of Astronomy Department of Physics National Tsing Hua University Hsinchu Taiwan Max Planck Institute for Astronomy Königstuhl 17 Heidelberg D-69117 Germany National Astronomical Observatories Chinese Acad

One of the most poorly understood aspects of low-mass star formation is how multiple-star systems are formed. Here we present the results of Atacama Large Millimeter/submillimeter Array (ALMA) Band 6 observations toward a forming quadruple protostellar system, G206.93-16.61e2, in the Orion B molecular cloud. ALMA 1.3 mm continuum emission reveals four compact objects, of which two are Class I young stellar objects and the other two are likely in prestellar phase. The 1.3 mm continuum emission also shows three asymmetric ribbon-like structures that are connected to the four objects, with lengths ranging from ∼500 to ∼2200 au. By comparing our data with magnetohydrodynamic simulations, we suggest that these ribbons trace accretion flows and also function as gas bridges connecting the member protostars. Additionally, ALMA CO J = 2-1 line emission reveals a complicated molecular outflow associated with G206.93-16.61e2, with arc-like structures suggestive of an outflow cavity viewed pole-on. © 2023. The Author(s). Published by the American Astronomical Society.

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An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care

arXiv

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arXiv 2025年

作者： Soh, Zhi Da Bai, Yang Yu, Kai Zhou, Yang Lei, Xiaofeng Thaku, Sahil Lee, Zann Phang, Lee Ching Linette Peng, Qingsheng Xue, Can Can Chong, Rachel Shujuan Hoang, Quan V. Raghavan, Lavanya Tham, Yih Chung Sabanayagam, Charumathi Wu, Wei-Chi Ho, Ming-Chih He, Jiangnan Gupta, Preeti Lamoureux, ecosse Saw, Seang Mei Nangia, Vinay Panda-Jonas, Songhomitra Xu, Jie Wang, Ya Xing Xu, Xinxing Jonas, Jost B. Wong, Tien Yin Goh, Rick Siow Mong Liu, Yong Cheng, Ching-Yu Singapore Eye Research Institute Singapore National Eye Centre 20 College Road Singapore169856 Singapore Institute of High Performance Computing Agency of Science Technology and Research 1 Fusionopolis Way Singapore138632 Singapore Department of Radiology University of Pennsylvania PhiladephiaPA19104 United States Ophthalmology & Visual Sciences Academic Clinical Program Duke-NUS Medical School 8 College Road 169857 Singapore Department of Ophthalmology Columbia University 622 W 168th New YorkNY United States Street 3rd Floor New YorkNY10032 United States Centre for Innovation and Precision Eye Health National University of Singapore 1E Kent Ridge Road NUHS Tower Block Level 7 Singapore119228 Singapore Department of Ophthalmology Chang Gung Memorial Hospital Linkou Medical Centre Taoyuan No. 123 Dapi Rd. Niaosong District Kaohsiung City83301 Taiwan College of Medicine Chang Gung University Wenhua 1st TaoyuanN0 259 Taiwan road Guishan District Taoyuan333 Taiwan Shanghai Eye Disease Prevention & Treatment Center Shanghai Eye Hospital No. 1440 Hongqiao Road Changning District Shanghai China Duke-NUS Medical School National University of Singapore 8 College Road Singapore169857 Singapore Rothschild Foundation Hospital Institut Français de Myopie Paris 25-29 Rue Manin Paris75019 France Privatpraxis Prof Jonas and Dr. Panda-Jonas Adenauerplatz 2 Heidelberg69115 Germany Beijing Visual Science and Translational Eye Research Institute Beijing Tsinghua Changgung Hospital Tsinghua Medicine Tsinghua University 30 Shuangqing Road Haidian District Beijing100190 China New York eye and Ear Infirmary of Mount Sinai Icahn School of Medicine at Mount Sinai 1 Gustave L. Levy PI New YorkNY10029 United States Suraj Eye Institute Plot No. 559 New Colony Maharashtra Nagpur440001 India Department of Ophthalmology Medical Faculty Heidelberg Heidelberg University Grabengasse 1 Heidelberg69117 Germany Beijing Institute of Ophthalmology Be

Current deep learning models are mostly task specific and lack a user-friendly interface to operate. We present Meta-eyeFM, a multi-function foundation model that integrates a large language model (LLM) with vision foundation models (VFMs) for ocular disease assessment. Meta-eyeFM leverages a routing mechanism to enable accurate task-specific analysis based on text queries. Using Low Rank Adaptation, we fine-tuned our VFMs to detect ocular and systemic diseases, differentiate ocular disease severity, and identify common ocular signs. The model achieved 100% accuracy in routing fundus images to appropriate VFMs, which achieved ≥82.2% accuracy in disease detection, ≥89% in severity differentiation, ≥76% in sign identification. Meta-eyeFM was 11% to 43% more accurate than Gemini-1.5-flash and ChatGPT-4o LMMs in detecting various eye diseases and comparable to an ophthalmologist. This system offers enhanced usability and diagnostic performance, making it a valuable decision support tool for primary eye care or an online LLM for fundus evaluation. © 2025, CC BY-NC-ND.

关键词： Deep learning

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