431 results on '"Rui Tang"'
Search Results
2. Single-Pixel Imaging Using Carrier-Depletion Optical Phased Array With Reduced Phase Shift Requirement
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Yoshiaki Nakano, Samar Emara, Rui Tang, Takuo Tanemura, Yusuke Kohno, Kento Komatsu, and Taichiro Fukui
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Optical amplifier ,Physics ,Silicon photonics ,Optical fiber ,Phased-array optics ,optical phased array ,business.industry ,single-pixel imaging ,Phase (waves) ,QC350-467 ,Optics. Light ,photonic integrated circuits ,Chip ,Driver circuit ,Optical imaging ,Atomic and Molecular Physics, and Optics ,TA1501-1820 ,law.invention ,Optics ,law ,Applied optics. Photonics ,Electrical and Electronic Engineering ,business ,Voltage - Abstract
The optical-phased array (OPA) has gained special interest in recent years as a high-speed and compact imaging device. While large-scale OPAs have been demonstrated in single-pixel imaging, the complexity of the driver circuit is becoming a crucial problem as the number of phase shifters increases. Here, we investigate the phase shift requirement of OPA for single-pixel imaging and demonstrate, for the first time, that full 2π phase shifts are not mandatory to generate a set of illumination patterns with a sufficient degree of randomness required to reconstruct the image. Using a silicon photonic OPA chip with 128 carrier-depletion-based phase shifters, we experimentally confirm this property by successfully retrieving an image under a maximum phase shift of only ∼1.5π without affecting the quality of the image. Consequently, the input voltage can be reduced significantly. Since the carrier-depletion phase shifters generally require high driving voltages, this finding paves the way to high-speed OPA-based imaging with a minimum device requirement.
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- 2021
3. Non-invasive monitoring of arthritis treatment response via targeting of tyrosine-phosphorylated annexin A2 in chondrocytes
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Rui Tang, Gail Sudlow, Shaw-Wei D. Tsen, Christine T.N. Pham, Kexian Liang, Samuel Achilefu, Luke E. Springer, Krishna Sharmah Gautam, and Amir Kucharski
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medicine.medical_specialty ,Inflammatory arthritis ,Arthritis ,Diseases of the musculoskeletal system ,Arthritis, Rheumatoid ,Mice ,Chondrocytes ,Internal medicine ,Medicine ,Animals ,Near-infrared fluorescent imaging ,Treatment response monitoring ,Rheumatoid arthritis ,Dexamethasone ,Annexin A2 ,business.industry ,Optical Imaging ,Colocalization ,medicine.disease ,Arthritis, Experimental ,Rheumatology ,RC925-935 ,Cancer research ,Immunohistochemistry ,Tyrosine ,business ,medicine.drug ,Research Article - Abstract
Background The development and optimization of therapies for rheumatoid arthritis (RA) is currently hindered by a lack of methods for early non-invasive monitoring of treatment response. Annexin A2, an inflammation-associated protein whose presence and phosphorylation levels are upregulated in RA, represents a potential molecular target for tracking RA treatment response. Methods LS301, a near-infrared dye-peptide conjugate that selectively targets tyrosine 23-phosphorylated annexin A2 (pANXA2), was evaluated for its utility in monitoring disease progression, remission, and early response to drug treatment in mouse models of RA by fluorescence imaging. The intraarticular distribution and localization of LS301 relative to pANXA2 was determined by histological and immunohistochemical methods. Results In mouse models of spontaneous and serum transfer-induced inflammatory arthritis, intravenously administered LS301 showed selective accumulation in regions of joint pathology including paws, ankles, and knees with positive correlation between fluorescent signal and disease severity by clinical scoring. Whole-body near-infrared imaging with LS301 allowed tracking of spontaneous disease remission and the therapeutic response after dexamethasone treatment. Histological analysis showed preferential accumulation of LS301 within the chondrocytes and articular cartilage in arthritic mice, and colocalization was observed between LS301 and pANXA2 in the joint tissue. Conclusions We demonstrate that fluorescence imaging with LS301 can be used to monitor the progression, remission, and early response to drug treatment in mouse models of RA. Given the ease of detecting LS301 with portable optical imaging devices, the agent may become a useful early treatment response reporter for arthritis diagnosis and drug evaluation.
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- 2021
4. Effectiveness and safety of adjunctive inhaled antibiotics for ventilator-associated pneumonia: A systematic review and meta-analysis of randomized controlled trials
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Rui Luo, Xiujuan Chen, Rui Tang, Bin Wu, Fuping Wang, and Haoxin Song
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medicine.medical_specialty ,medicine.drug_class ,business.industry ,Antibiotics ,Ventilator-associated pneumonia ,030208 emergency & critical care medicine ,Critical Care and Intensive Care Medicine ,medicine.disease ,law.invention ,Clinical trial ,03 medical and health sciences ,Pneumonia ,0302 clinical medicine ,030228 respiratory system ,Randomized controlled trial ,law ,Meta-analysis ,Relative risk ,Internal medicine ,Inclusion and exclusion criteria ,medicine ,business - Abstract
Introduction The efficacy and safety of adjunctive inhaled antibiotic therapy for ventilator-associated pneumonia (VAP) was systematically reviewed based on updated studies. Methods We searched four databases and four clinical trial registration platforms to identify relevant studies published prior to May 19, 2020. Randomized controlled trials (RCTs) assessing adjunctive antibiotic inhalation treatment for VAP patients were eligible for this review. Two reviewers independently screened the articles and extracted the data. Information on inhaled therapy and clinical outcomes was collected. Study quality was assessed with the Cochrane risk of bias tool. The meta-analysis was conducted with Review Manager and R software. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines were used to evaluate the quality of evidence for each pooled outcome. Results Eleven RCTs and 1210 patients were included in this analysis after the application of the inclusion and exclusion criteria. Compared with the use of intravenous injection alone, the use of adjunctive inhaled antibiotic therapy improved the rates of clinical cure (relative risk (RR) 1.13, 95% CI [1.02,1.26]) and microbiological eradication (RR 1.45, 95% CI [1.19,1.76]) in VAP patients. However, despite these improvements, mortality was not reduced (RR 1.00, 95% CI [0.82,1.21]). Adjunctive antibiotics delivered through the respiratory tract were not associated with a higher risk of renal impairment but were associated with an increased risk of bronchospasm (RR 2.74, 95% CI [1.31,5.73] during treatment. Conclusions Adjunctive inhaled antibiotics improved the clinical outcomes in VAP patients, but the increased rates clinical cure and microbiological eradication were not associated with reduced mortality. The use of nebulized antibiotics is not supported by the currently available evidence as a routine therapeutic strategy for VAP. PROSPERO registration number CRD42020186970.
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- 2021
5. Cd0.5Zn0.5S Quantum Dot-Modified CdIn2S4 Nano-octahedron as the 0D/3D Hybrid Heterojunction for CO2 Photoreduction
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Zhi-dong Lin, Wei-guo Pan, Rui-tang Guo, Long-fei Hong, Xiang-yin Ji, Zhong-wei Zhang, and Ye Yuan
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Fuel Technology ,Materials science ,Octahedron ,Quantum dot ,business.industry ,General Chemical Engineering ,Nano ,Energy Engineering and Power Technology ,Optoelectronics ,Heterojunction ,business - Published
- 2021
6. Systemic Contact Dermatitis: The Routes of Allergen Entry
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Zhouxian Pan, Xianjie Zhou, Yueping Zeng, Lishan Zhang, Yongshi Yang, Jing Zhang, Rui Tang, Jin-Lyu Sun, and Christopher Chang
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congenital, hereditary, and neonatal diseases and abnormalities ,Allergy ,medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,General Medicine ,Allergens ,medicine.disease ,medicine.disease_cause ,Dermatology ,Allergic sensitization ,Type IV hypersensitivity ,medicine.anatomical_structure ,Allergen ,Nasal spray ,hemic and lymphatic diseases ,Dermatitis, Allergic Contact ,medicine ,Humans ,Immunology and Allergy ,Baboon syndrome ,cardiovascular diseases ,business ,Contact dermatitis ,Sensitization - Abstract
Systemic contact dermatitis (SCD) is a generalized reactivation of type IV hypersensitivity skin diseases in individuals with previous sensitization after a contact allergen is administered systemically. Patients with SCD may consider their dermatitis unpredictable and recalcitrant since the causative allergens are difficult to find. If a patient has a pattern of dermatitis suggestive of SCD but fails to improve with conventional treatment, SCD should be taken into consideration. If doctors are not familiar with the presentations of SCD and the possible routes of allergen sensitization and exposure, the diagnosis of SCD may be delayed. In this work, we summarized all of the routes through which allergens can enter the body and cause SCD, including oral intake, local contact (through skin, inhalation, nasal spray and anal application), implants, and other iatrogenic or invasive routes (intravenous, intramuscular, intraarticular, and intravesicular). This will provide a comprehensive reference for the clinicians to identify the culprit of SCD.
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- 2021
7. The modern service industry agglomeration and tourism efficiency in China: regional difference and influencing mechanism
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Rui Tang and Pishi Xiu
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Economies of agglomeration ,business.industry ,Political Science and International Relations ,Geography, Planning and Development ,Business ,Development ,China ,Tertiary sector of the economy ,Industrial organization ,Mechanism (sociology) ,Tourism - Abstract
This study explores the relationship between the agglomeration of modern service industry and tourism efficiency in China based on the data from 2012 to 2017. The estimated coefficients of the spec...
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- 2021
8. A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions
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Meiling Chen, Jiayuan Wang, Rui Tang, and Cheng Fan
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business.industry ,Test data generation ,Computer science ,Reliability (computer networking) ,Building and Construction ,Machine learning ,computer.software_genre ,Synthetic data ,Term (time) ,Range (mathematics) ,Robustness (computer science) ,Artificial intelligence ,business ,computer ,Energy (signal processing) ,Energy (miscellaneous) ,Building automation - Abstract
Short-term building energy predictions serve as one of the fundamental tasks in building operation management. While large numbers of studies have explored the value of various supervised machine learning techniques in energy predictions, few studies have addressed the potential data shortage problem in developing data-driven models. One promising solution is data augmentation, which aims to enrich existing building data resources for reliable predictive modeling. This study proposes a deep generative modeling-based data augmentation strategy for improving short-term building energy predictions. Two types of conditional variational autoencoders have been designed for synthetic energy data generation using fully connected and one-dimensional convolutional layers respectively. Data experiments have been designed to evaluate the value of data augmentation using actual measurements from 52 buildings. The results indicate that conditional variational autoencoders are capable of generating high-quality synthetic data samples, which in turns helps to enhance the accuracy in short-term building energy predictions. The average performance enhancement ratios in terms of CV-RMSE range between 12% and 18%. Practical guidelines have been obtained to ensure the validity and quality of synthetic building energy data. The research outcomes are valuable for enhancing the robustness and reliability of data-driven models for smart building operation management.
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- 2021
9. The impact of integration policies on tourism industry convergence in the Yangtze River Delta: theoretical mechanism and empirical test
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Rui Tang
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Delta ,Economics and Econometrics ,Convergence clubs ,Government ,Geography, Planning and Development ,Convergence (economics) ,Redistribution (cultural anthropology) ,Urban Studies ,Empirical research ,Club ,Business ,Economic geography ,Tourism ,Demography - Abstract
This article discusses the influence of integration policies on tourism industry convergence in the Yangtze River Delta based on data from 2011 to 2018. The spatial econometric test indicates that tourism industry development had a positive spatial spillover effect and a strong self-reinforcing effect. The tourism industry demonstrated significant characteristics of $$\beta$$ convergence and club convergence. The nonlinear time-varying factor model logt test shows that Shanghai and some important tourism cities were in high level convergence clubs, whereas most cities of Anhui Province were in the bottom of the club. The influence mechanism test based on the intermediary effect shows that the integration policies issued by the Yangtze River Delta City Economic Coordination Conference and the Yangtze River Delta Tourism Cooperation Joint Meeting could promote the tourism industry convergence by improving government administrative efficiency, optimizing public resource redistribution, and increasing market potential. The effect of the policies depended on the size of city.
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- 2021
10. Urchinlike W18O49/g-C3N4 Z-Scheme Heterojunction for Highly Efficient Photocatalytic Reduction of CO2 under Full Spectrum Light
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Xiang-yin Ji, Ye Yuan, Jing-wen Gu, Rui-tang Guo, Long-fei Hong, Wei-guo Pan, and Zhi-dong Lin
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Reduction (complexity) ,Fuel Technology ,Materials science ,business.industry ,General Chemical Engineering ,Full-spectrum light ,Photocatalysis ,Energy Engineering and Power Technology ,Optoelectronics ,Heterojunction ,business - Published
- 2021
11. Epitaxial Growth of SrMnO3 Films on SrTiO3 Substrates by Off-Axis Angle Radio Frequency Magnetron Sputtering
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Rui He, Ma Ro Kim, Chung Wung Bark, Rui Tang, and Sangmo Kim
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Materials science ,business.industry ,Optoelectronics ,General Materials Science ,Radio frequency magnetron sputtering ,business ,Epitaxy - Abstract
In this study, high-quality SrMnO3 (001) film was grown on a SrTiO3(001) substrate using a 4 N purity target by 90° off-axis RF magnetron sputtering. In this study, the influence of the plasma center and surrounding positions on the growth of the SrMnO3 film was investigated under different sputtering temperatures and working pressure conditions. The results revealed that the SrMnO3 film exhibited the best crystallinity at the sputtering center under a high working pressure (135 mTorr), high substrate temperature (750 °C), and Ar to O ratio of 1:1. After investigating the relationship between the growth rate and the working pressure through the Alpha step, the film was grown at a lower sputtering rate of 2 nm/min. X-ray diffraction confirmed that the SrMnO3 film was epitaxially grown on the SrTiO3 substrate with an orientation relationship of SrMnO3(001)//SrTiO3(001). The growth state of SrMnO3 on the crystal SrTiO3 substrate was investigated by scanning electron microscopy (SEM); the results revealed that the surface was smooth and compact. In addition, the atomic force microscopy results were consistent with the SEM result; the results revealed that the surface of the film was atomically flat, and the atomic level flatness was 0.906 nm. Furthermore, the contact angle measurement results revealed that the film and substrate surface energy were almost similar and exhibited similar adhesion and internal stress. In addition, energy-dispersive X-ray spectroscopy analysis revealed that the atomic composition ratio in the high-temperature sputtered SrMnO3 film was consistent with the stoichiometric ratio of SrMnO3. The scope and results of this study will lay a foundation on the further research of the performance of SrMnO3 film.
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- 2021
12. Ten-Port Unitary Optical Processor on a Silicon Photonic Chip
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Yoshiaki Nakano, Rui Tang, Ryota Tanomura, and Takuo Tanemura
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Silicon photonics ,business.industry ,Computer science ,Optoelectronics ,Port (circuit theory) ,Electrical and Electronic Engineering ,business ,Chip ,Optical processor ,Unitary state ,Atomic and Molecular Physics, and Optics ,Biotechnology ,Electronic, Optical and Magnetic Materials - Published
- 2021
13. Outcome of acute hypoxaemic respiratory failure: insights from the LUNG SAFE Study
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Pham, Tài, Pesenti, Antonio, Bellani, Giacomo, Rubenfeld, Gordon, Fan, Eddy, Bugedo, Guillermo, Lorente, José Angel, Fernandes, Antero do Vale, Van Haren, Frank, Bruhn, Alejandro, Rios, Fernando, Esteban, Andres, Gattinoni, Luciano, Larsson, Anders, McAuley, Daniel F., Ranieri, Marco, Thompson, B. Taylor, Wrigge, Hermann, Brochard, Laurent J., Laffey, John G, Antonio Pesenti, John G Laffey, Laurent Brochard, Andres Esteban, Luciano Gattinoni, Frank van Haren, Anders Larsson, Daniel F McAuley, Marco Ranieri, Gordon Rubenfeld, B Taylor Thompson, Hermann Wrigge, Arthur S Slutsky, Giacomo Bellani, Tài Pham, Eddy Fan, Fernando Rios, Thierry Sottiaux, Pieter Depuydt, Fredy S Lora, Luciano Cesar Azevedo, Guillermo Bugedo, Haibo Qiu, Marcos Gonzalez, Juan Silesky, Vladimir Cerny, Jonas Nielsen, Manuel Jibaja, Dimitrios Matamis, Jorge Luis Ranero, Pravin Amin, S M Hashemian, Kevin Clarkson, Kiyoyasu Kurahashi, Asisclo Villagomez, Amine Ali Zeggwagh, Leo M Heunks, Jon Henrik Laake, Jose Emmanuel Palo, Antero do Vale Fernandes, Dorel Sandesc, Yaasen Arabi, Vesna Bumbasierevic, Nicolas Nin, Jose A Lorente, Lise Piquilloud, Fekri Abroug, Lia McNamee, Javier Hurtado, Ed Bajwa, Gabriel Démpaire, Hektor Sula, Lordian Nunci, Alma Cani, Alan Zazu, Christian Dellera, Carolina S Insaurralde, Risso V Alejandro, Julio Daldin, Mauricio Vinzio, Ruben O Fernandez, Luis P Cardonnet, Lisandro R Bettini, Mariano Carboni Bisso, Emilio M Osman, Mariano G Setten, Pablo Lovazzano, Javier Alvarez, Veronica Villar, Norberto C Pozo, Nicolas Grubissich, Gustavo A Plotnikow, Daniela N Vasquez, Santiago Ilutovich, Norberto Tiribelli, Ariel Chena, Carlos A Pellegrini, María G Saenz, Elisa Estenssoro, Matias Brizuela, Hernan Gianinetto, Pablo E Gomez, Valeria I Cerrato, Marco G Bezzi, Silvina A Borello, Flavia A Loiacono, Adriana M Fernandez, Serena Knowles, Claire Reynolds, Deborah M Inskip, Jennene J Miller, Jing Kong, Christina Whitehead, Shailesh Bihari, Aylin Seven, Amanda Krstevski, Helen J Rodgers, Rebecca T Millar, Toni E McKenna, Irene M Bailey, Gabrielle C Hanlon, Anders Aneman, Joan M Lynch, Raman Azad, John Neal, Paul W Woods, Brigit L Roberts, Mark R Kol, Helen S Wong, Katharina C Riss, Thomas Staudinger, Xavier Wittebole, Caroline Berghe, Pierre A Bulpa, Alain M Dive, Rik Verstraete, Herve Lebbinck, Joris Vermassen, Philippe Meersseman, Helga Ceunen, Jonas I Rosa, Daniel O Beraldo, Claudio Piras, Adenilton M Rampinelli, Antonio P Nassar Jr, Sergio Mataloun, Marcelo Moock, Marlus M Thompson, Claudio H Gonçalves, Ana Carolina P Antônio, Aline Ascoli, Rodrigo S Biondi, Danielle C Fontenele, Danielle Nobrega, Vanessa M Sales, Ahmad Yazid Bin Hj Abul Wahab, Maizatul Ismail, Suresh Shindhe, John Laffey, Francois Beloncle, Kyle G Davies, Rob Cirone, Venika Manoharan, Mehvish Ismail, Ewan C Goligher, Mandeep Jassal, Erin Nishikawa, Areej Javeed, Gerard Curley, Nuttapol Rittayamai, Matteo Parotto, Niall D Ferguson, Sangeeta Mehta, Jenny Knoll, Antoine Pronovost, Sergio Canestrini, Alejandro R Bruhn, Patricio H Garcia, Felipe A Aliaga, Pamela A Farías, Jacob S Yumha, Claudia A Ortiz, Javier E Salas, Alejandro A Saez, Luis D Vega, Eduardo F Labarca, Felipe T Martinez, Nicolás G Carreño, Pilar Lora, Haitao Liu, Ling Liu, Rui Tang, Xiaoming Luo, Youzhong An, Huiying Zhao, Yan Gao, Zhe Zhai, Zheng L Ye, Wei Wang, Wenwen Li, Qingdong Li, Ruiqiang Zheng, Wenkui Yu, Juanhong Shen, Xinyu Li, Tao Yu, Weihua Lu, Ya Q Wu, Xiao B Huang, Zhenyang He, Yuanhua Lu, Hui Han, Fan Zhang, Renhua Sun, Hua X Wang, Shu H Qin, Bao H Zhu, Jun Zhao, Jian Liu, Bin Li, Jing L Liu, Fa C Zhou, Qiong J Li, Xing Y Zhang, Zhou Li-Xin, Qiang Xin-Hua, Liangyan Jiang, Yuan N Gao, Xian Y Zhao, Yuan Y Li, Xiao L Li, Chunting Wang, Qingchun Yao, Rongguo Yu, Kai Chen, Huanzhang Shao, Bingyu Qin, Qing Q Huang, Wei H Zhu, Ai Y Hang, Ma X Hua, Yimin Li, Yonghao Xu, Yu D Di, Long L Ling, Tie H Qin, Shou H Wang, Junping Qin, Yi Han, Suming Zhou, Monica P Vargas, Juan I Silesky Jimenez, Manuel A González Rojas, Jaime E SolisQuesada, Christian M Ramirez-Alfaro, Jan Máca, Peter Sklienka, Jakob Gjedsted, Aage Christiansen, Boris G Villamagua, Iguel Llano, Philippe Burtin, Gautier Buzancais, Pascal Beuret, Nicolas Pelletier, Satar Mortaza, Alain Mercat, Jonathan Chelly, Sébastien Jochmans, Nicolas Terzi, Cédric Daubin, Guillaume Carteaux, Nicolas de Prost, Jean-Daniel Chiche, Fabrice Daviaud, Muriel Fartoukh, Guillaume Barberet, Jerome Biehler, Jean Dellamonica, Denis Doyen, Jean-Michel Arnal, Anais Briquet, Sami Hraiech, Laurent Papazian, Arnaud Follin, Damien Roux, Jonathan Messika, Evangelos Kalaitzis, Laurence Dangers, Alain Combes, Siu-Ming Au, Gaetan Béduneau, Dorothée Carpentier, Elie H Zogheib, Herve Dupont, Sylvie Ricome, Francesco L Santoli, Sebastien L Besset, Philippe Michel, Bruno Gelée, Pierre-Eric Danin, Bernard Goubaux, Philippe J Crova, Nga T Phan, Frantz Berkelmans, Julio C Badie, Romain Tapponnier, Josette Gally, Samy Khebbeb, Jean-Etienne Herbrecht, Francis Schneider, PierreLouis M Declercq, Jean-Philippe Rigaud, Jacques Duranteau, Anatole Harrois, Russell Chabanne, Julien Marin, Charlene Bigot, Sandrine Thibault, Mohammed Ghazi, Messabi Boukhazna, Salem Ould Zein, Jack R Richecoeur, Daniele M Combaux, Fabien Grelon, Charlene Le Moal, Elise P Sauvadet, Adrien Robine, Virginie Lemiale, Danielle Reuter, Martin Dres, Alexandre Demoule, Dany Goldgran-Toledano, Loredana Baboi, Claude Guérin, Ralph Lohner, Jens Kraßler, Susanne Schäfer, Kai D Zacharowski, Patrick Meybohm, Andreas W Reske, Philipp Simon, HansBernd F Hopf, Michael Schuetz, Thomas Baltus, Metaxia N Papanikolaou, Theonymfi G Papavasilopoulou, Giannis A Zacharas, Vasilis Ourailogloy, Eleni K Mouloudi, Eleni V Massa, Eva O Nagy, Electra E Stamou, Ellada V Kiourtzieva, Marina A Oikonomou, Luis E Avila, Cesar A Cortez, Johanna E Citalán, Sameer A Jog, Safal D Sable, Bhagyesh Shah, Mohan Gurjar, Arvind K Baronia, Mohammedfaruk Memon, Radhakrishnan Muthuchellappan, Venkatapura J Ramesh, Anitha Shenoy, Ramesh Unnikrishnan, Subhal B Dixit, Rachana V Rhayakar, Nagarajan Ramakrishnan, Vallish K Bhardwaj, Heera L Mahto, Sudha V Sagar, Vijayanand Palaniswamy, Deeban Ganesan, Seyed Mohammadreza Hashemian, Hamidreza Jamaati, Farshad Heidari, Edel A Meaney, Alistair Nichol, Karl M Knapman, Donall O'Croinin, Eimhin S Dunne, Dorothy M Breen, Kevin P Clarkson, Rola F Jaafar, Rory Dwyer, Fahd Amir, Olaitan O Ajetunmobi, Aogan C O'Muircheartaigh, Colin S Black, Nuala Treanor, Daniel V Collins, Wahid Altaf, Gianluca Zani, Maurizio Fusari, Savino Spadaro, Carlo A Volta, Romano Graziani, Barbara Brunettini, Salvatore Palmese, Paolo Formenti, Michele Umbrello, Andrea Lombardo, Elisabetta Pecci, Marco Botteri, Monica Savioli, Alessandro Protti, Alessia Mattei, Lorenzo Schiavoni, Andrea Tinnirello, Manuel Todeschini, Antonino Giarratano, Andrea Cortegiani, Massimo M Antonelli, Luca M Montini, Paolo Casalena, Sergio Scafetti, Giovanna Panarello, Giovanna Occhipinti, Nicolò Patroniti, Matteo Pozzi, Roberto R Biscione, Michela M Poli, Ferdinando Raimondi, Daniela Albiero, Giulia Crapelli, Eduardo Beck, Vincenzo Pota, Vincenzo Schiavone, Alexandre Molin, Fabio Tarantino, Giacomo Monti, Elena Frati, Lucia Mirabella, Gilda Cinnella, Tommaso Fossali, Riccardo Colombo, Pierpaolo Terragni, Ilaria Pattarino, Francesco Mojoli, Antonio Braschi, Erika E Borotto, Andrea N Cracchiolo, Daniela M Palma, Francesco Raponi, Giuseppe Foti, Ettore R Vascotto, Andrea Coppadoro, Luca Brazzi, Leda Floris, Giorgio A Iotti, Aaron Venti, Osamu Yamaguchi, Shunsuke Takagi, Hiroki N Maeyama, Eizo Watanabe, Yoshihiro Yamaji, Kazuyoshi Shimizu, Kyoko Shiozaki, Satoru Futami, Sekine Ryosuke, Koji Saito, Yoshinobu Kameyama, Keiko Ueno, Masayo Izawa, Nao Okuda, Hiroyuki Suzuki, Tomofumi Harasawa, Michitaka Nasu, Tadaaki Takada, Fumihito Ito, Shin Nunomiya, Kansuke Koyama, Toshikazu Abe, Kohkichi Andoh, Kohei Kusumoto, Akira Hirata, Akihiro Takaba, Hiroyasu Kimura, Shuhei Matsumoto, Ushio Higashijima, Hiroyuki Honda, Nobumasa Aoki, Hiroshi Imai, Yasuaki Ogino, Ichiko Mizuguchi, Kazuya Ichikado, Kenichi Nitta, Katsunori Mochizuki, Tomoaki Hashida, Hiroyuki Tanaka, Tomoyuki Nakamura, Daisuke Niimi, Takeshi Ueda, Yozo Kashiwa, Akinori Uchiyama, Olegs Sabelnikovs, Peteris Oss, Youssef Haddad, Kong Y Liew, Silvio A Ñamendys-Silva, Yves D Jarquin-Badiola, Luis A Sanchez-Hurtado, Saira S Gomez-Flores, Maria C Marin, Asisclo J Villagomez, Jordana S Lemus, Jonathan M Fierro, Mavy Ramirez Cervantes, Francisco Javier Flores Mejia, Dulce Dector, Alejandro Rojas, Daniel R Gonzalez, Claudia R Estrella, Jorge R Sanchez-Medina, Alvaro Ramirez-Gutierrez, Fernando G George, Janet S Aguirre, Juan A Buensuseso, Manuel Poblano, Tarek Dendane, Hicham Balkhi, Mina Elkhayari, Nacer Samkaoui, Hanane Ezzouine, Abdellatif Benslama, Mourad Amor, Wajdi Maazouzi, Nedim Cimic, Oliver Beck, Monique M Bruns, Jeroen A Schouten, Myra Rinia, Monique Raaijmakers, Hellen M van Wezel, Serge J Heines, Ulrich Strauch, Marc P Buise, Fabienne D Simonis, Marcus J Schultz, Jennifer C Goodson, Troy S Browne, Leanlove Navarra, Anna Hunt, Robyn A Hutchison, Mathew B Bailey, Lynette Newby, Colin McArthur, Michael Kalkoff, Alex Mcleod, Jonathan Casement, Danielle J Hacking, Finn H Andersen, Merete S Dolva, Jon H Laake, Andreas Barratt-Due, Kim Andre L Noremark, Eldar Søreide, Brit Å Sjøbø, Anne B Guttormsen, Hector H Leon Yoshido, Ronald Zumaran Aguilar, Fredy A Montes Oscanoa, Alain U Alisasis, Joanne B Robles, Rossini Abbie B Pasanting-Lim, Beatriz C Tan, Pawel Andruszkiewicz, Karina Jakubowska, Cristina M Coxo, António M Alvarez, Bruno S Oliveira, Gustavo M Montanha, Nelson C Barros, Carlos S Pereira, António M Messias, Jorge M Monteiro, Ana M Araujo, Nuno T Catorze, Susan M Marum, Maria J Bouw, Rui M Gomes, Vania A Brito, Silvia Castro, Joana M Estilita, Filipa M Barros, Isabel M Serra, Aurelia M Martinho, Dana R Tomescu, Alexandra Marcu, Ovidiu H Bedreag, Marius Papurica, Dan E Corneci, Silvius Ioan Negoita, Evgeny Grigoriev, Alexey I Gritsan, Andrey A Gazenkampf, Ghaleb Almekhlafi, Mohamad M Albarrak, Ghanem M Mustafa, Khalid A Maghrabi, Nawal Salahuddin, Tharwat M Aisa, Ahmed S Al Jabbary, Edgardo Tabhan, Yaseen M Arabi, Olivia A Trinidad, Hasan M Al Dorzi, Edgardo E Tabhan, Vesna Bumbasirevic, Bojan Jovanovic, Stefan Bolon, Oliver Smith, Jordi Mancebo, Hernan Aguirre-Bermeo, Juan C Lopez-Delgado, Francisco Esteve, Gemma Rialp, Catalina Forteza, Candelaria De Haro, Antonio Artigas, Guillermo M Albaiceta, Sara De Cima-Iglesias, Leticia Seoane-Quiroga, Alexandra Ceniceros-Barros, Antonio L RuizAguilar, Luis M Claraco-Vega, Juan Alfonso Soler, Maria Del Carmen Lorente, Cecilia Hermosa, Federico Gordo, Miryam PrietoGonzález, Juan B López-Messa, Manuel P Perez, Cesar P Perez, Raquel Montoiro Allue, Ferran RocheCampo, Marcos Ibañez-Santacruz, Susana TempranoSusana, Maria C Pintado, Raul De Pablo, Pilar Ricart Aroa Gómez, Silvia Rodriguez Ruiz, Silvia Iglesias Moles, Mª Teresa Jurado, Alfons Arizmendi, Enrique A Piacentini, Nieves Franco, Teresa Honrubia, Meisy Perez Cheng, Elena Perez Losada, Javier Blanco, Luis J Yuste, Cecilia Carbayo-Gorriz, Francisca G Cazorla-Barranquero, Javier G Alonso, Rosa S Alda, Ángela Algaba, Gonzalo Navarro, Enrique Cereijo, Esther Diaz-Rodriguez, Diego Pastor Marcos, Laura Alvarez Montero, Luis Herrera Para, Roberto Jimenez Sanchez, Miguel Angel Blasco Navalpotro, Ricardo Diaz Abad, Raquel Montiel González, Dácil Parrilla Toribio, Alejandro G Castro, Maria Jose D Artiga, Oscar Penuelas, Tomas P Roser, Moreno F Olga, Elena Gallego Curto, Rocío Manzano Sánchez, Vallverdu P Imma, Garcia M Elisabet, Laura Claverias, Monica Magret, Ana M Pellicer, Lucia L Rodriguez, Jesús Sánchez-Ballesteros, Ángela González-Salamanca, Antonio G Jimenez, Francisco P Huerta, Juan Carlos J Sotillo Diaz, Esther Bermejo Lopez, David D Llinares Moya, Alec A Tallet Alfonso, Palazon Sanchez Eugenio Luis, Palazon Sanchez Cesar, Sánchez I Rafael, Corcoles G Virgilio, Noelia N Recio, Christian C Rylander, Bernhard Holzgraefe, Lars M Broman, Joanna Wessbergh, Linnea Persson, Fredrik Schiöler, Hans Kedelv, Anna Oscarsson Tibblin, Henrik Appelberg, Lars Hedlund, Johan Helleberg, Karin E Eriksson, Rita Glietsch, Niklas Larsson, Ingela Nygren, Silvia L Nunes, Anna-Karin 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Dean, Julius H Cranshaw, Emma L Willett, Nicholas Ioannou, Sarah Gillis, Peter Csabi, Rosaleen Macfadyen, Heidi Dawson, Pieter D Preez, Alexandra J Williams, Owen Boyd, Laura Ortiz-Ruiz de Gordoa, Jon Bramall, Sophie Symmonds, Simon K Chau, Tim Wenham, Tamas Szakmany, Piroska Toth-Tarsoly, Katie H McCalman, Peter Alexander, Lorraine Stephenson, Thomas Collyer, Rhiannon Chapman, Raphael Cooper, Russell M Allan, Malcolm Sim, David W Wrathall, Donald A Irvine, Kim S Zantua, John C Adams, Andrew J Burtenshaw, Gareth P Sellors, Ingeborg D Welters, Karen E Williams, Robert J Hessell, Matthew G Oldroyd, Ceri E Battle, Suresh Pillai, Istvan Kajtor, Mageswaran Sivashanmugavel, Sinead C Okane, Adrian Donnelly, Aniko D Frigyik, Jon P Careless, Martin M May, Richard Stewart, T John Trinder, Samantha J Hagan, Jade M Cole, Caroline C MacFie, Anna T Dowling, Nicolás Nin, Edgardo Nuñez, Gustavo Pittini, Ruben Rodriguez, María C Imperio, Cristina Santos, Ana G França, Alejandro Ebeid, Alberto Deicas, 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F Labarca, Felipe T Martinez, Nicolás G Carreño, Pilar Lora, Haitao Liu, Haibo Qiu, Ling Liu, Rui Tang, Xiaoming Luo, Youzhong An, Huiying Zhao, Yan Gao, Zhe Zhai, Zheng L Ye, Wei Wang, Wenwen Li, Qingdong Li, Ruiqiang Zheng, Wenkui Yu, Juanhong Shen, Xinyu Li, Tao Yu, Weihua Lu, Ya Q Wu, Xiao B Huang, Zhenyang He, Yuanhua Lu, Hui Han, Fan Zhang, Renhua Sun, Hua X Wang, Shu H Qin, Bao H Zhu, Jun Zhao, Jian Liu, Bin Li, Jing L Liu, Fa C Zhou, Qiong J Li, Xing Y Zhang, Zhou Li-Xin, Qiang Xin-Hua, Liangyan Jiang, Yuan N Gao, Xian Y Zhao, Yuan Y Li, Xiao L Li, Chunting Wang, Qingchun Yao, Rongguo Yu, Kai Chen, Huanzhang Shao, Bingyu Qin, Qing Q Huang, Wei H Zhu, Ai Y Hang, Ma X Hua, Yimin Li, Yonghao Xu, Yu D Di, Long L Ling, Tie H Qin, Shou H Wang, Junping Qin, Yi Han, Suming Zhou, Monica P Vargas, Juan I Silesky Jimenez, Manuel A González Rojas, Jaime E SolisQuesada, Christian M Ramirez-Alfaro, Jan Máca, Peter Sklienka, Jakob Gjedsted, Aage Christiansen, Jonas Nielsen, Boris G 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Jennifer C Goodson, Troy S Browne, Leanlove Navarra, Anna Hunt, Robyn A Hutchison, Mathew B Bailey, Lynette Newby, Colin McArthur, Michael Kalkoff, Alex Mcleod, Jonathan Casement, Danielle J Hacking, Finn H Andersen, Merete S Dolva, Jon H Laake, Andreas Barratt-Due, Kim Andre L Noremark, Eldar Søreide, Brit Å Sjøbø, Anne B Guttormsen, Hector H Leon Yoshido, Ronald Zumaran Aguilar, Fredy A Montes Oscanoa, Alain U Alisasis, Joanne B Robles, Rossini Abbie B Pasanting-Lim, Beatriz C Tan, Pawel Andruszkiewicz, Karina Jakubowska, Cristina M Coxo, António M Alvarez, Bruno S Oliveira, Gustavo M Montanha, Nelson C Barros, Carlos S Pereira, António M Messias, Jorge M Monteiro, Ana M Araujo, Nuno T Catorze, Susan M Marum, Maria J Bouw, Rui M Gomes, Vania A Brito, Silvia Castro, Joana M Estilita, Filipa M Barros, Isabel M Serra, Aurelia M Martinho, Dana R Tomescu, Alexandra Marcu, Ovidiu H Bedreag, Marius Papurica, Dan E Corneci, Silvius Ioan Negoita, Evgeny Grigoriev, Alexey I Gritsan, Andrey A Gazenkampf, Ghaleb Almekhlafi, Mohamad M Albarrak, Ghanem M Mustafa, Khalid A Maghrabi, Nawal Salahuddin, Tharwat M Aisa, Ahmed S Al Jabbary, Edgardo Tabhan, Yaseen M Arabi, Yaseen M Arabi, Olivia A Trinidad, Hasan M Al Dorzi, Edgardo E Tabhan, Vesna Bumbasirevic, Bojan Jovanovic, Stefan Bolon, Oliver Smith, Jordi Mancebo, Hernan Aguirre-Bermeo, Juan C Lopez-Delgado, Francisco Esteve, Gemma Rialp, Catalina Forteza, Candelaria De Haro, Antonio Artigas, Guillermo M Albaiceta, Sara De Cima-Iglesias, Leticia Seoane-Quiroga, Alexandra Ceniceros-Barros, Antonio L RuizAguilar, Luis M Claraco-Vega, Juan Alfonso Soler, Maria Del Carmen Lorente, Cecilia Hermosa, Federico Gordo, Miryam PrietoGonzález, Juan B López-Messa, Manuel P Perez, Cesar P Perez, Raquel Montoiro Allue, Ferran RocheCampo, Marcos Ibañez-Santacruz, Susana TempranoSusana, Maria C Pintado, Raul De Pablo, Pilar Ricart Aroa Gómez, Silvia Rodriguez Ruiz, Silvia Iglesias Moles, Mª Teresa Jurado, Alfons Arizmendi, Enrique A Piacentini, Nieves Franco, Teresa Honrubia, Meisy Perez Cheng, Elena Perez Losada, Javier Blanco, Luis J Yuste, Cecilia Carbayo-Gorriz, Francisca G Cazorla-Barranquero, Javier G Alonso, Rosa S Alda, Ángela Algaba, Gonzalo Navarro, Enrique Cereijo, Esther Diaz-Rodriguez, Diego Pastor Marcos, Laura Alvarez Montero, Luis Herrera Para, Roberto Jimenez Sanchez, Miguel Angel Blasco Navalpotro, Ricardo Diaz Abad, Raquel Montiel González, Dácil Parrilla Toribio, Alejandro G Castro, Maria Jose D Artiga, Oscar Penuelas, Tomas P Roser, Moreno F Olga, Elena Gallego Curto, Rocío Manzano Sánchez, Vallverdu P Imma, Garcia M Elisabet, Laura Claverias, Monica Magret, Ana M Pellicer, Lucia L Rodriguez, Jesús Sánchez-Ballesteros, Ángela González-Salamanca, Antonio G Jimenez, Francisco P Huerta, Juan Carlos J Sotillo Diaz, Esther Bermejo Lopez, David D Llinares Moya, Alec A Tallet Alfonso, Palazon Sanchez Eugenio Luis, Palazon Sanchez Cesar, Sánchez I Rafael, Corcoles G Virgilio, Noelia N Recio, Christian C Rylander, Bernhard Holzgraefe, Lars M Broman, Joanna Wessbergh, Linnea Persson, Fredrik Schiöler, Hans Kedelv, Anna Oscarsson Tibblin, Henrik Appelberg, Lars Hedlund, Johan Helleberg, Karin E Eriksson, Rita Glietsch, Niklas Larsson, Ingela Nygren, Silvia L Nunes, Anna-Karin Morin, Thomas Kander, Anne Adolfsson, Lise Piquilloud, Hervé O Zender, Corinne Leemann-Refondini, Souheil Elatrous, Slaheddine Bouchoucha, Imed Chouchene, Islem Ouanes, Asma Ben Souissi, Salma Kamoun, Oktay Demirkiran, Mustafa Aker, Emre Erbabacan, Ilkay Ceylan, Nermin Kelebek Girgin, Menekse Ozcelik, Necmettin Ünal, Basak Ceyda Meco, Onat O Akyol, Suleyman S Derman, Barry Kennedy, Ken Parhar, Latha Srinivasa, Lia McNamee, Danny McAuley, Phil Hopkins, Clare Mellis, Vivek Kakar, Dan Hadfield, Andre Vercueil, Kaushik Bhowmick, Sally K Humphreys, Andrew Ferguson, Raymond Mckee, Ashok S Raj, Danielle A Fawkes, Philip Watt, Linda Twohey, Rajeev R Jha, Matthew Thomas, Alex Morton, Varsha Kadaba, Mark J Smith, Anil P Hormis, Santhana G Kannan, Miriam Namih, Henrik Reschreiter, Julie Camsooksai, Alek Kumar, Szabolcs Rugonfalvi, Christopher Nutt, Orla Oneill, Colette Seasman, Ged Dempsey, Christopher J Scott, Helen E Ellis, Stuart Mckechnie, Paula J Hutton, Nora N Di Tomasso, Michela N Vitale, Ruth O Griffin, Michael N Dean, Julius H Cranshaw, Emma L Willett, Nicholas Ioannou, Sarah Gillis, Peter Csabi, Rosaleen Macfadyen, Heidi Dawson, Pieter D Preez, Alexandra J Williams, Owen Boyd, Laura Ortiz-Ruiz de Gordoa, Jon Bramall, Sophie Symmonds, Simon K Chau, Tim Wenham, Tamas Szakmany, Piroska Toth-Tarsoly, Katie H McCalman, Peter Alexander, Lorraine Stephenson, Thomas Collyer, Rhiannon Chapman, Raphael Cooper, Russell M Allan, Malcolm Sim, David W Wrathall, Donald A Irvine, Kim S Zantua, John C Adams, Andrew J Burtenshaw, Gareth P Sellors, Ingeborg D Welters, Karen E Williams, Robert J Hessell, Matthew G Oldroyd, Ceri E Battle, Suresh Pillai, Istvan Kajtor, Mageswaran Sivashanmugavel, Sinead C Okane, Adrian Donnelly, Aniko D Frigyik, Jon P Careless, Martin M May, Richard Stewart, T John Trinder, Samantha J Hagan, Jade M Cole, Caroline C MacFie, Anna T Dowling, Javier Hurtado, Nicolás Nin, Javier Hurtado, Edgardo Nuñez, Gustavo Pittini, Ruben Rodriguez, María C Imperio, Cristina Santos, Ana G França, Alejandro Ebeid, Alberto Deicas, Carolina Serra, Aditya Uppalapati, Ghassan Kamel, Valerie M Banner-Goodspeed, Jeremy R Beitler, Satyanarayana Reddy Mukkera, Shreedhar Kulkarni, John O Shinn Iii, Dina Gomaa, Christopher Tainter, Jarone Lee, Tomaz MesarJarone Lee, Dale J Yeatts, Jessica Warren, Michael J Lanspa, Russel R Miller, Colin K Grissom, Samuel M Brown, Philippe R Bauer, Ryan J Gosselin, Barrett T Kitch, Jason E Cohen, Scott H Beegle, Shazia Choudry, Renaud M Gueret, Aiman Tulaimat, William Stigler, Hitesh Batra, Nidhi G Huff, Keith D Lamb, Trevor W Oetting, Nicholas M Mohr, Claine Judy, Shigeki Saito, Fayez M Kheir, Fayez Kheir, Adam B Schlichting, Angela Delsing, Daniel R Crouch, Mary Elmasri, Daniel R Crouch, Dina Ismail, Kyle R Dreyer, Thomas C Blakeman, Dina Gomaa, Rebecca M Baro, Carolina Quintana Grijalba, Peter C Hou, Raghu Seethala, Imo Aisiku, Galen Henderson, Gyorgy Frendl, Sen-Kuang Hou, Robert L Owens, Ashley Schomer, Intensive Care Medicine, ACS - Diabetes & metabolism, ACS - Pulmonary hypertension & thrombosis, ACS - Microcirculation, Pham, T, Pesenti, A, Bellani, G, Rubenfeld, G, Fan, E, Bugedo, G, Lorente, J, Fernandes, A, Van Haren, F, Bruhn, A, Rios, F, Esteban, A, Gattinoni, L, Larsson, A, Mcauley, D, Ranieri, M, Thompson, B, Wrigge, H, Brochard, L, Laffey, J, AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), St. Michael's Hospital, University of Toronto, Groupe de recherche clinique CARMAS, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico, Università degli Studi di Milano [Milano] (UNIMI), University of Milan, San Gerardo Hospital, Sunnybrook Health Sciences Center, Mount Sinai Hospital [Toronto, Canada] (MSH), Pontificia Universidad Católica de Chile (UC), University Hospital of Getafe, CIBER Enfermedades Respiratorias (CIBERES), Universidad Europea de Madrid, Hospital Garcia de Orta (EPE), Canberra Hospital, Medical School [Australian National University - ANU], Australian National University (ANU), University of Canberra, Centro de Investigación Biomédica en Red Enfermedades Respiratorias (CIBERES), University of Göttingen - Georg-August-Universität Göttingen, Uppsala University, Queen's University [Belfast] (QUB), Royal Victoria Hospital, McGill University Health Center [Montreal] (MUHC), Università degli Studi di Bologna, Massachusetts General Hospital [Boston], University Hospital Leipzig, Department of Anaesthesiology, Intensive Care and Emergency Medicine, Pain Therapy, Bergmannstrost Hospital Halle, 06112, Halle, National University of Ireland [Galway] (NUI Galway), Bayer GlaxoSmithKline, GSK Baxter International Boehringer Ingelheim Wellcome Trust, WT National Institute for Health Research, NIHR Queen's University Belfast, QUB Medical Research Council Canada, MRC European Society of Intensive Care Medicine, ESICM, Support statement: This work was supported by the European Society of Intensive Care Medicine. Funding information for this article has been deposited with the Crossref Funder Registry., Conflict of interest: T. Pham has nothing to disclose. A. Pesenti reports personal fees from Maquet, Novalung/Xenios, Baxter, Gilead and Boehringer Ingelheim, outside the submitted work. G. Bellani reports grants and personal fees from Draeger Medical, personal fees from Getinge, Hamilton, GE Healthcare, Dimar SRL, Intersurgical and Flowmeter SPA, outside the submitted work. G. Rubenfeld has nothing to disclose. E. Fan reports personal fees from ALung Technologies, Getinge and MC3 Cardiopulmonary, grants, personal fees and non-financial support from Fresenius Medical Care, outside the submitted work. G. Bugedo has nothing to disclose. J.A. Lorente has nothing to disclose. A.D. V. Fernandes has nothing to disclose. F. Van Haren has nothing to disclose. A. Bruhn has nothing to disclose. F. Rios has nothing to disclose. A. Esteban has nothing to disclose. L. Gattinoni has nothing to disclose. A. Larsson reports grants from the Swedish Heart and Lung Foundation, during the conduct of the study. D.F. McAuley reports personal fees from consultancy for GlaxoSmithKline, Boehringer Ingelheim and Bayer, outside the submitted work, in addition, his institution has received funds from grants from the UK NIHR, Wellcome Trust, Innovate UK, NI HSC R&D Division, NI Chest Heart and Stroke, and MRC, is one of four named inventors on a patent US8962032 covering the use of sialic acid-bearing nanoparticles as anti-inflammatory agents issued to his institution, The Queen’s University of Belfast (http://www.google.com/patents/US8962032), and is a Director of Research for the Intensive Care Society and NIHR EME Programme Director. M. Ranieri has nothing to disclose. B.T. Thompson reports personal fees from Bayer, Thetis and Novartis, outside the submitted work. H. Wrigge reports personal fees for consultancy from Dräger Medical, personal fees for advisory board work from Liberate Medical, grants and personal fees for lectures from InfectoPharm, personal fees for lectures from MSD and GE, outside the submitted work. L.J. Brochard reports grants from Medtronic Covidien, grants and non-financial support from Fisher Paykel, non-financial support from Air Liquide, Sentec and Philips, other (patent) from General Electric, outside the submitted work. J.G. Laffey reports grants and personal fees from Baxter, grants and non-financial support from Aerogen and Factor Biosciences, outside the submitted work., LUNG SAFE Investigators and the European Society of Intensive Care Medicine Trials Group: Antonio Pesenti, John G Laffey, Laurent Brochard, Andres Esteban, Luciano Gattinoni, Frank van Haren, Anders Larsson, Daniel F McAuley, Marco Ranieri, Gordon Rubenfeld, B Taylor Thompson, Hermann Wrigge, Arthur S Slutsky, John G Laffey, Giacomo Bellani, Tài Pham, Eddy Fan, Fernando Rios, Frank van Haren, Thierry Sottiaux, Pieter Depuydt, Fredy S Lora, Luciano Cesar Azevedo, Eddy Fan, Guillermo Bugedo, Haibo Qiu, Marcos Gonzalez, Juan Silesky, Vladimir Cerny, Jonas Nielsen, Manuel Jibaja, Tài Pham, Hermann Wrigge, Dimitrios Matamis, Jorge Luis Ranero, Pravin Amin, S M Hashemian, Kevin Clarkson, Giacomo Bellani, Kiyoyasu Kurahashi, Asisclo Villagomez, Amine Ali Zeggwagh, Leo M Heunks, Jon Henrik Laake, Jose Emmanuel Palo, Antero do Vale Fernandes, Dorel Sandesc, Yaasen Arabi, Vesna Bumbasierevic, Nicolas Nin, Jose A Lorente, Anders Larsson, Lise Piquilloud, Fekri Abroug, Daniel F McAuley, Lia McNamee, Javier Hurtado, Ed Bajwa, Gabriel Démpaire, Hektor Sula, Lordian Nunci, Alma Cani, Alan Zazu, Christian Dellera, Carolina S Insaurralde, Risso V Alejandro, Julio Daldin, Mauricio Vinzio, Ruben O Fernandez, Luis P Cardonnet, Lisandro R Bettini, Mariano Carboni Bisso, Emilio M Osman, Mariano G Setten, Pablo Lovazzano, Javier Alvarez, Veronica Villar, Norberto C Pozo, Nicolas Grubissich, Gustavo A Plotnikow, Daniela N Vasquez, Santiago Ilutovich, Norberto Tiribelli, Ariel Chena, Carlos A Pellegrini, María G Saenz, Elisa Estenssoro, Matias Brizuela, Hernan Gianinetto, Pablo E Gomez, Valeria I Cerrato, Marco G Bezzi, Silvina A Borello, Flavia A Loiacono, Adriana M Fernandez, Serena Knowles, Claire Reynolds, Deborah M Inskip, Jennene J Miller, Jing Kong, Christina Whitehead, Shailesh Bihari, Aylin Seven, Amanda Krstevski, Helen J Rodgers, Rebecca T Millar, Toni E McKenna, Irene M Bailey, Gabrielle C Hanlon, Anders Aneman, Joan M Lynch, Raman Azad, John Neal, Paul W Woods, Brigit L Roberts, Mark R Kol, Helen S Wong, Katharina C Riss, Thomas Staudinger, Xavier Wittebole, Caroline Berghe, Pierre A Bulpa, Alain M Dive, Rik Verstraete, Herve Lebbinck, Pieter Depuydt, Joris Vermassen, Philippe Meersseman, Helga Ceunen, Jonas I Rosa, Daniel O Beraldo, Claudio Piras, Adenilton M Rampinelli, Antonio P Nassar Jr, Sergio Mataloun, Marcelo Moock, Marlus M Thompson, Claudio H Gonçalves, Ana Carolina P Antônio, Aline Ascoli, Rodrigo S Biondi, Danielle C Fontenele, Danielle Nobrega, Vanessa M Sales, Ahmad Yazid Bin Hj Abul Wahab, Maizatul Ismail, Suresh Shindhe, John Laffey, Francois Beloncle, Kyle G Davies, Rob Cirone, Venika Manoharan, Mehvish Ismail, Ewan C Goligher, Mandeep Jassal, Erin Nishikawa, Areej Javeed, Gerard Curley, Nuttapol Rittayamai, Matteo Parotto, Niall D Ferguson, Sangeeta Mehta, Jenny Knoll, Antoine Pronovost, Sergio Canestrini, Alejandro R Bruhn, Patricio H Garcia, Felipe A Aliaga, Pamela A Farías, Jacob S Yumha, Claudia A Ortiz, Javier E Salas, Alejandro A Saez, Luis D Vega, Eduardo F Labarca, Felipe T Martinez, Nicolás G Carreño, Pilar Lora, Haitao Liu, Haibo Qiu, Ling Liu, Rui Tang, Xiaoming Luo, Youzhong An, Huiying Zhao, Yan Gao, Zhe Zhai, Zheng L Ye, Wei Wang, Wenwen Li, Qingdong Li, Ruiqiang Zheng, Wenkui Yu, Juanhong Shen, Xinyu Li, Tao Yu, Weihua Lu, Ya Q Wu, Xiao B Huang, Zhenyang He, Yuanhua Lu, Hui Han, Fan Zhang, Renhua Sun, Hua X Wang, Shu H Qin, Bao H Zhu, Jun Zhao, Jian Liu, Bin Li, Jing L Liu, Fa C Zhou, Qiong J Li, Xing Y Zhang, Zhou Li-Xin, Qiang Xin-Hua, Liangyan Jiang, Yuan N Gao, Xian Y Zhao, Yuan Y Li, Xiao L Li, Chunting Wang, Qingchun Yao, Rongguo Yu, Kai Chen, Huanzhang Shao, Bingyu Qin, Qing Q Huang, Wei H Zhu, Ai Y Hang, Ma X Hua, Yimin Li, Yonghao Xu, Yu D Di, Long L Ling, Tie H Qin, Shou H Wang, Junping Qin, Yi Han, Suming Zhou, Monica P Vargas, Juan I Silesky Jimenez, Manuel A González Rojas, Jaime E SolisQuesada, Christian M Ramirez-Alfaro, Jan Máca, Peter Sklienka, Jakob Gjedsted, Aage Christiansen, Jonas Nielsen, Boris G Villamagua, Iguel Llano, Philippe Burtin, Gautier Buzancais, Pascal Beuret, Nicolas Pelletier, Satar Mortaza, Alain Mercat, Jonathan Chelly, Sébastien Jochmans, Nicolas Terzi, Cédric Daubin, Guillaume Carteaux, Nicolas de Prost, Jean-Daniel Chiche, Fabrice Daviaud, Tài Pham, Muriel Fartoukh, Guillaume Barberet, Jerome Biehler, Jean Dellamonica, Denis Doyen, Jean-Michel Arnal, Anais Briquet, Sami Hraiech, Laurent Papazian, Arnaud Follin, Damien Roux, Jonathan Messika, Evangelos Kalaitzis, Laurence Dangers, Alain Combes, Siu-Ming Au, Gaetan Béduneau, Dorothée Carpentier, Elie H Zogheib, Herve Dupont, Sylvie Ricome, Francesco L Santoli, Sebastien L Besset, Philippe Michel, Bruno Gelée, Pierre-Eric Danin, Bernard Goubaux, Philippe J Crova, Nga T Phan, Frantz Berkelmans, Julio C Badie, Romain Tapponnier, Josette Gally, Samy Khebbeb, Jean-Etienne Herbrecht, Francis Schneider, PierreLouis M Declercq, Jean-Philippe Rigaud, Jacques Duranteau, Anatole Harrois, Russell Chabanne, Julien Marin, Charlene Bigot, Sandrine Thibault, Mohammed Ghazi, Messabi Boukhazna, Salem Ould Zein, Jack R Richecoeur, Daniele M Combaux, Fabien Grelon, Charlene Le Moal, Elise P Sauvadet, Adrien Robine, Virginie Lemiale, Danielle Reuter, Martin Dres, Alexandre Demoule, Dany Goldgran-Toledano, Loredana Baboi, Claude Guérin, Ralph Lohner, Jens Kraßler, Susanne Schäfer, Kai D Zacharowski, Patrick Meybohm, Andreas W Reske, Philipp Simon, HansBernd F Hopf, Michael Schuetz, Thomas Baltus, Metaxia N Papanikolaou, Theonymfi G Papavasilopoulou, Giannis A Zacharas, Vasilis Ourailogloy, Eleni K Mouloudi, Eleni V Massa, Eva O Nagy, Electra E Stamou, Ellada V Kiourtzieva, Marina A Oikonomou, Luis E Avila, Cesar A Cortez, Johanna E Citalán, Sameer A Jog, Safal D Sable, Bhagyesh Shah, Mohan Gurjar, Arvind K Baronia, Mohammedfaruk Memon, Radhakrishnan Muthuchellappan, Venkatapura J Ramesh, Anitha Shenoy, Ramesh Unnikrishnan, Subhal B Dixit, Rachana V Rhayakar, Nagarajan Ramakrishnan, Vallish K Bhardwaj, Heera L Mahto, Sudha V Sagar, Vijayanand Palaniswamy, Deeban Ganesan, Seyed Mohammadreza Hashemian, Hamidreza Jamaati, Farshad Heidari, Edel A Meaney, Alistair Nichol, Karl M Knapman, Donall O'Croinin, Eimhin S Dunne, Dorothy M Breen, Kevin P Clarkson, Rola F Jaafar, Rory Dwyer, Fahd Amir, Olaitan O Ajetunmobi, Aogan C O'Muircheartaigh, Colin S Black, Nuala Treanor, Daniel V Collins, Wahid Altaf, Gianluca Zani, Maurizio Fusari, Savino Spadaro, Carlo A Volta, Romano Graziani, Barbara Brunettini, Salvatore Palmese, Paolo Formenti, Michele Umbrello, Andrea Lombardo, Elisabetta Pecci, Marco Botteri, Monica Savioli, Alessandro Protti, Alessia Mattei, Lorenzo Schiavoni, Andrea Tinnirello, Manuel Todeschini, Antonino Giarratano, Andrea Cortegiani, Antonino Giarratano, Andrea Cortegiani, Massimo M Antonelli, Luca M Montini, Paolo Casalena, Sergio Scafetti, Giovanna Panarello, Giovanna Occhipinti, Nicolò Patroniti, Matteo Pozzi, Roberto R Biscione, Michela M Poli, Ferdinando Raimondi, Daniela Albiero, Giulia Crapelli, Eduardo Beck, Vincenzo Pota, Vincenzo Schiavone, Alexandre Molin, Fabio Tarantino, Giacomo Monti, Elena Frati, Lucia Mirabella, Gilda Cinnella, Tommaso Fossali, Riccardo Colombo, Pierpaolo Terragni, Ilaria Pattarino, Francesco Mojoli, Antonio Braschi, Erika E Borotto, Andrea N Cracchiolo, Daniela M Palma, Francesco Raponi, Giuseppe Foti, Ettore R Vascotto, Andrea Coppadoro, Luca Brazzi, Leda Floris, Giorgio A Iotti, Aaron Venti, Osamu Yamaguchi, Shunsuke Takagi, Hiroki N Maeyama, Eizo Watanabe, Yoshihiro Yamaji, Kazuyoshi Shimizu, Kyoko Shiozaki, Satoru Futami, Sekine Ryosuke, Koji Saito, Yoshinobu Kameyama, Keiko Ueno, Masayo Izawa, Nao Okuda, Hiroyuki Suzuki, Tomofumi Harasawa, Michitaka Nasu, Tadaaki Takada, Fumihito Ito, Shin Nunomiya, Kansuke Koyama, Toshikazu Abe, Kohkichi Andoh, Kohei Kusumoto, Akira Hirata, Akihiro Takaba, Hiroyasu Kimura, Shuhei Matsumoto, Ushio Higashijima, Hiroyuki Honda, Nobumasa Aoki, Hiroshi Imai, Yasuaki Ogino, Ichiko Mizuguchi, Kazuya Ichikado, Kenichi Nitta, Katsunori Mochizuki, Tomoaki Hashida, Hiroyuki Tanaka, Tomoyuki Nakamura, Daisuke Niimi, Takeshi Ueda, Yozo Kashiwa, Akinori Uchiyama, Olegs Sabelnikovs, Peteris Oss, Youssef Haddad, Kong Y Liew, Silvio A Ñamendys-Silva, Yves D Jarquin-Badiola, Luis A Sanchez-Hurtado, Saira S Gomez-Flores, Maria C Marin, Asisclo J Villagomez, Jordana S Lemus, Jonathan M Fierro, Mavy Ramirez Cervantes, Francisco Javier Flores Mejia, Dulce Dector, Alejandro Rojas, Daniel R Gonzalez, Claudia R Estrella, Jorge R Sanchez-Medina, Alvaro Ramirez-Gutierrez, Fernando G George, Janet S Aguirre, Juan A Buensuseso, Manuel Poblano, Juan A Buensuseso, Manuel Poblano, Tarek Dendane, Amine Ali Zeggwagh, Hicham Balkhi, Mina Elkhayari, Nacer Samkaoui, Hanane Ezzouine, Abdellatif Benslama, Mourad Amor, Wajdi Maazouzi, Nedim Cimic, Oliver Beck, Monique M Bruns, Jeroen A Schouten, Myra Rinia, Monique Raaijmakers, Leo M Heunks, Hellen M van Wezel, Serge J Heines, Ulrich Strauch, Marc P Buise, Fabienne D Simonis, Marcus J Schultz, Jennifer C Goodson, Troy S Browne, Leanlove Navarra, Anna Hunt, Robyn A Hutchison, Mathew B Bailey, Lynette Newby, Colin McArthur, Michael Kalkoff, Alex Mcleod, Jonathan Casement, Danielle J Hacking, Finn H Andersen, Merete S Dolva, Jon H Laake, Andreas Barratt-Due, Kim Andre L Noremark, Eldar Søreide, Brit Å Sjøbø, Anne B Guttormsen, Hector H Leon Yoshido, Ronald Zumaran Aguilar, Fredy A Montes Oscanoa, Alain U Alisasis, Joanne B Robles, Rossini Abbie B Pasanting-Lim, Beatriz C Tan, Pawel Andruszkiewicz, Karina Jakubowska, Cristina M Coxo, António M Alvarez, Bruno S Oliveira, Gustavo M Montanha, Nelson C Barros, Carlos S Pereira, António M Messias, Jorge M Monteiro, Ana M Araujo, Nuno T Catorze, Susan M Marum, Maria J Bouw, Rui M Gomes, Vania A Brito, Silvia Castro, Joana M Estilita, Filipa M Barros, Isabel M Serra, Aurelia M Martinho, Dana R Tomescu, Alexandra Marcu, Ovidiu H Bedreag, Marius Papurica, Dan E Corneci, Silvius Ioan Negoita, Evgeny Grigoriev, Alexey I Gritsan, Andrey A Gazenkampf, Ghaleb Almekhlafi, Mohamad M Albarrak, Ghanem M Mustafa, Khalid A Maghrabi, Nawal Salahuddin, Tharwat M Aisa, Ahmed S Al Jabbary, Edgardo Tabhan, Yaseen M Arabi, Yaseen M Arabi, Olivia A Trinidad, Hasan M Al Dorzi, Edgardo E Tabhan, Vesna Bumbasirevic, Bojan Jovanovic, Stefan Bolon, Oliver Smith, Jordi Mancebo, Hernan Aguirre-Bermeo, Juan C Lopez-Delgado, Francisco Esteve, Gemma Rialp, Catalina Forteza, Candelaria De Haro, Antonio Artigas, Guillermo M Albaiceta, Sara De Cima-Iglesias, Leticia Seoane-Quiroga, Alexandra Ceniceros-Barros, Antonio L RuizAguilar, Luis M Claraco-Vega, Juan Alfonso Soler, Maria Del Carmen Lorente, Cecilia Hermosa, Federico Gordo, Miryam PrietoGonzález, Juan B López-Messa, Manuel P Perez, Cesar P Perez, Raquel Montoiro Allue, Ferran RocheCampo, Marcos Ibañez-Santacruz, Susana TempranoSusana, Maria C Pintado, Raul De Pablo, Pilar Ricart Aroa Gómez, Silvia Rodriguez Ruiz, Silvia Iglesias Moles, Mª Teresa Jurado, Alfons Arizmendi, Enrique A Piacentini, Nieves Franco, Teresa Honrubia, Meisy Perez Cheng, Elena Perez Losada, Javier Blanco, Luis J Yuste, Cecilia Carbayo-Gorriz, Francisca G Cazorla-Barranquero, Javier G Alonso, Rosa S Alda, Ángela Algaba, Gonzalo Navarro, Enrique Cereijo, Esther Diaz-Rodriguez, Diego Pastor Marcos, Laura Alvarez Montero, Luis Herrera Para, Roberto Jimenez Sanchez, Miguel Angel Blasco Navalpotro, Ricardo Diaz Abad, Raquel Montiel González, Dácil Parrilla Toribio, Alejandro G Castro, Maria Jose D Artiga, Oscar Penuelas, Tomas P Roser, Moreno F Olga, Elena Gallego Curto, Rocío Manzano Sánchez, Vallverdu P Imma, Garcia M Elisabet, Laura Claverias, Monica Magret, Ana M Pellicer, Lucia L Rodriguez, Jesús Sánchez-Ballesteros, Ángela González-Salamanca, Antonio G Jimenez, Francisco P Huerta, Juan Carlos J Sotillo Diaz, Esther Bermejo Lopez, David D Llinares Moya, Alec A Tallet Alfonso, Palazon Sanchez Eugenio Luis, Palazon Sanchez Cesar, Sánchez I Rafael, Corcoles G Virgilio, Noelia N Recio, Christian C Rylander, Bernhard Holzgraefe, Lars M Broman, Joanna Wessbergh, Linnea Persson, Fredrik Schiöler, Hans Kedelv, Anna Oscarsson Tibblin, Henrik Appelberg, Lars Hedlund, Johan Helleberg, Karin E Eriksson, Rita Glietsch, Niklas Larsson, Ingela Nygren, Silvia L Nunes, Anna-Karin Morin, Thomas Kander, Anne Adolfsson, Lise Piquilloud, Hervé O Zender, Corinne Leemann-Refondini, Souheil Elatrous, Slaheddine Bouchoucha, Imed Chouchene, Islem Ouanes, Asma Ben Souissi, Salma Kamoun, Oktay Demirkiran, Mustafa Aker, Emre Erbabacan, Ilkay Ceylan, Nermin Kelebek Girgin, Menekse Ozcelik, Necmettin Ünal, Basak Ceyda Meco, Onat O Akyol, Suleyman S Derman, Barry Kennedy, Ken Parhar, Latha Srinivasa, Lia McNamee, Danny McAuley, Phil Hopkins, Clare Mellis, Vivek Kakar, Dan Hadfield, Andre Vercueil, Kaushik Bhowmick, Sally K Humphreys, Andrew Ferguson, Raymond Mckee, Ashok S Raj, Danielle A Fawkes, Philip Watt, Linda Twohey, Rajeev R Jha, Matthew Thomas, Alex Morton, Varsha Kadaba, Mark J Smith, Anil P Hormis, Santhana G Kannan, Miriam Namih, Henrik Reschreiter, Julie Camsooksai, Alek Kumar, Szabolcs Rugonfalvi, Christopher Nutt, Orla Oneill, Colette Seasman, Ged Dempsey, Christopher J Scott, Helen E Ellis, Stuart Mckechnie, Paula J Hutton, Nora N Di Tomasso, Michela N Vitale, Ruth O Griffin, Michael N Dean, Julius H Cranshaw, Emma L Willett, Nicholas Ioannou, Sarah Gillis, Peter Csabi, Rosaleen Macfadyen, Heidi Dawson, Pieter D Preez, Alexandra J Williams, Owen Boyd, Laura Ortiz-Ruiz de Gordoa, Jon Bramall, Sophie Symmonds, Simon K Chau, Tim Wenham, Tamas Szakmany, Piroska Toth-Tarsoly, Katie H McCalman, Peter Alexander, Lorraine Stephenson, Thomas Collyer, Rhiannon Chapman, Raphael Cooper, Russell M Allan, Malcolm Sim, David W Wrathall, Donald A Irvine, Kim S Zantua, John C Adams, Andrew J Burtenshaw, Gareth P Sellors, Ingeborg D Welters, Karen E Williams, Robert J Hessell, Matthew G Oldroyd, Ceri E Battle, Suresh Pillai, Istvan Kajtor, Mageswaran Sivashanmugavel, Sinead C Okane, Adrian Donnelly, Aniko D Frigyik, Jon P Careless, Martin M May, Richard Stewart, T John Trinder, Samantha J Hagan, Jade M Cole, Caroline C MacFie, Anna T Dowling, Javier Hurtado, Nicolás Nin, Javier Hurtado, Edgardo Nuñez, Gustavo Pittini, Ruben Rodriguez, María C Imperio, Cristina Santos, Ana G França, Alejandro Ebeid, Alberto Deicas, Carolina Serra, Aditya Uppalapati, Ghassan Kamel, Valerie M Banner-Goodspeed, Jeremy R Beitler, Satyanarayana Reddy Mukkera, Shreedhar Kulkarni, John O Shinn Iii, Dina Gomaa, Christopher Tainter, Jarone Lee, Tomaz MesarJarone Lee, Dale J Yeatts, Jessica Warren, Michael J Lanspa, Russel R Miller, Colin K Grissom, Samuel M Brown, Philippe R Bauer, Ryan J Gosselin, Barrett T Kitch, Jason E Cohen, Scott H Beegle, Shazia Choudry, Renaud M Gueret, Aiman Tulaimat, William Stigler, Hitesh Batra, Nidhi G Huff, Keith D Lamb, Trevor W Oetting, Nicholas M Mohr, Claine Judy, Shigeki Saito, Fayez M Kheir, Fayez Kheir, Adam B Schlichting, Angela Delsing, Daniel R Crouch, Mary Elmasri, Daniel R Crouch, Dina Ismail, Kyle R Dreyer, Thomas C Blakeman, Dina Gomaa, Rebecca M Baro, Carolina Quintana Grijalba, Peter C Hou, Raghu Seethala, Imo Aisiku, Galen Henderson, Gyorgy Frendl, Sen-Kuang Hou, Robert L Owens, Ashley Schomer, UCL - SSS/IREC/MEDA - Pôle de médecine aiguë, UCL - (MGD) Services des soins intensifs, and UCL - (SLuc) Service de soins intensifs
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Pulmonary and Respiratory Medicine ,ARDS ,Unidades de cuidados intensivos ,[SDV]Life Sciences [q-bio] ,medicine.medical_treatment ,mechanical ventilation ,NO ,law.invention ,03 medical and health sciences ,Tratamiento médico ,0302 clinical medicine ,law ,Settore MED/41 - ANESTESIOLOGIA ,Insuficiencia respiratoria ,Medicine ,Humans ,030212 general & internal medicine ,Prospective Studies ,Prospective cohort study ,Lung ,Mechanical ventilation ,Respiratory Distress Syndrome ,business.industry ,Respiration ,Incidence (epidemiology) ,medicine.disease ,Intensive care unit ,Respiration, Artificial ,3. Good health ,Intensive Care Units ,lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4] ,medicine.anatomical_structure ,030228 respiratory system ,Respiratory failure ,Heart failure ,Anesthesia ,Artificial ,ards ,business ,Respiratory Insufficiency ,Enfermedad - Abstract
BackgroundCurrent incidence and outcome of patients with acute hypoxaemic respiratory failure requiring mechanical ventilation in the intensive care unit (ICU) are unknown, especially for patients not meeting criteria for acute respiratory distress syndrome (ARDS).MethodsAn international, multicentre, prospective cohort study of patients presenting with hypoxaemia early in the course of mechanical ventilation, conducted during four consecutive weeks in the winter of 2014 in 459 ICUs from 50 countries (LUNG SAFE). Patients were enrolled with arterial oxygen tension/inspiratory oxygen fraction ratio ≤300 mmHg, new pulmonary infiltrates and need for mechanical ventilation with a positive end-expiratory pressure of ≥5 cmH2O. ICU prevalence, causes of hypoxaemia, hospital survival and factors associated with hospital mortality were measured. Patients with unilateral versus bilateral opacities were compared.Findings12 906 critically ill patients received mechanical ventilation and 34.9% with hypoxaemia and new infiltrates were enrolled, separated into ARDS (69.0%), unilateral infiltrate (22.7%) and congestive heart failure (CHF; 8.2%). The global hospital mortality was 38.6%. CHF patients had a mortality comparable to ARDS (44.1% versus 40.4%). Patients with unilateral-infiltrate had lower unadjusted mortality, but similar adjusted mortality compared to those with ARDS. The number of quadrants on chest imaging was associated with an increased risk of death. There was no difference in mortality comparing patients with unilateral-infiltrate and ARDS with only two quadrants involved.InterpretationMore than one-third of patients receiving mechanical ventilation have hypoxaemia and new infiltrates with a hospital mortality of 38.6%. Survival is dependent on the degree of pulmonary involvement whether or not ARDS criteria are reached.
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- 2021
14. Augmented Reality-Assisted Pancreaticoduodenectomy with Superior Mesenteric Vein Resection and Reconstruction
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Guangdong Wu, Yucheng Hou, Jun Yan, Lihan Yu, Xuan Tong, Qian Lu, Wei Yang, and Rui Tang
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medicine.medical_specialty ,Article Subject ,medicine.medical_treatment ,RC799-869 ,Anastomosis ,03 medical and health sciences ,0302 clinical medicine ,medicine.artery ,medicine ,Superior mesenteric artery ,Superior mesenteric vein ,Hepatology ,Common hepatic artery ,business.industry ,Gastroenterology ,Vascular bypass ,Diseases of the digestive system. Gastroenterology ,Pancreaticoduodenectomy ,medicine.anatomical_structure ,Splenic vein ,030220 oncology & carcinogenesis ,030211 gastroenterology & hepatology ,Radiology ,business ,Pancreas ,Research Article - Abstract
Introduction. Pancreaticoduodenectomy (PD) with superior mesenteric vein (SMV) reconstruction are often required to achieve complete (R0) resection for pancreatic head cancer (PHC) with tumor invasion of the SMV. Augmented reality (AR) technology can be used to assist in determining the extent of SMV involvement by superimposing virtual 3-dimensional (3D) images of the pancreas and regional vasculature on the surgical field. Materials and Methods. Three patients with PHC and tumor invasion of the SMV underwent AR-assisted PD with SMV resection and reconstruction following preoperative computed tomography scanning. Preoperative imaging data were used to reconstruct 3D images of anatomical structures, including the tumor, portal vein (PV), SMV, and splenic vein (SV). Using AR software installed on a smart phone, the reconstructed 3D images were superimposed on the surgical field as viewed in a smart phone display to provide intermittent navigational assistance to the surgeon in identifying the boundaries of PHC tumor invasion for resection of the vessels involved. Result. All patients successfully completed the operation. Intraoperative AR applications displayed virtual images of the pancreas, SMV, bile duct, common hepatic artery (CHA), and superior mesenteric artery (SMA). Two patients required end-to-end anastomosis for reconstruction of the SMV. One patient required allogenic vascular bypass to reconstruct the SMV-PV juncture with concomitant reconstruction of the SV-SMV confluence by end-to-side anastomosis of the SV and bypass vessel. Postoperative pathology confirmed R0 resections for all patients. Conclusion. AR navigation technology based on preoperative CT image data can assist surgeons performing PD with SMV resection and reconstruction.
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- 2021
15. High Blood Eosinophil and YKL-40 Levels, as Well as Low CXCL9 Levels, are Associated with Increased Readmission in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease
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Daoxin Wang, Xingru Chen, Rui Tang, Qian Yu, Junnan Peng, Shulei Fan, and Di Qi
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medicine.medical_specialty ,Acute exacerbation of chronic obstructive pulmonary disease ,Exacerbation ,International Journal of Chronic Obstructive Pulmonary Disease ,Periostin ,Chemokine CXCL9 ,Patient Readmission ,prospective observational ,Pulmonary Disease, Chronic Obstructive ,03 medical and health sciences ,exacerbation ,0302 clinical medicine ,Internal medicine ,medicine ,COPD ,Humans ,Chitinase-3-Like Protein 1 ,030212 general & internal medicine ,Original Research ,Retrospective Studies ,readmission ,Proportional hazards model ,business.industry ,General Medicine ,Odds ratio ,Eosinophil ,medicine.disease ,Eosinophils ,medicine.anatomical_structure ,030228 respiratory system ,Disease Progression ,biomarker ,Biomarker (medicine) ,business - Abstract
Junnan Peng, Qian Yu, Shulei Fan, Xingru Chen, Rui Tang, Daoxin Wang, Di Qi Department of Respiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of ChinaCorrespondence: Daoxin Wang; Di QiDepartment of Respiratory Medicine, Second Affiliated Hospital of Chongqing Medical University, No. 76 Linjiang Road, Yuzhong District, Chongqing, 400010, People’s Republic of ChinaEmail wangdaoxin0163@163.com; qidi0126@126.comBackground: Readmission after hospital discharge is common among patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Predictive biomarkers of readmission would facilitate stratification strategies and individualized prognosis. Therefore, this study aimed to investigate the utility of type 2 biomarkers (eosinophils, periostin, and YKL-40) and a type 1 biomarker (CXCL9) in predicting readmission events in patients with AECOPD.Methods: This is a prospective observational study design. Blood levels of eosinophils, periostin, YKL-40, and CXCL9 were measured at admission. The clinical outcomes were 12-month COPD-related readmission, time to COPD-related readmission, and number of 12-month COPD-related readmissions. These outcomes were analyzed using logistic and Cox regression models and Spearman’s rank test.Results: A total of 123 patients were included, of whom 51 had experienced at least one readmission for AECOPD. High levels of eosinophils (≥ 200 cells/μL or 2% of the total white blood cell count, adjusted odds ratio [aOR] =3.138, P=0.009) and YKL-40 (≥ 14.5 ng/mL, aOR =2.840, P=0.015), as well as low CXCL9 levels (≤ 30.1 ng/mL, aOR =2.551, P=0.028), were associated with an increased COPD-related readmission. The highest relative readmission rate was observed in patients with both high eosinophil and YKL-40 levels. Moreover, high eosinophil and YKL-40 levels were associated with a shorter time to first COPD-related readmission and an increased number of 12-month COPD-related readmissions.Conclusion: High blood eosinophil and YKL-40 levels, as well as low CXCL9 levels, have predictive utility for the 12-month COPD-related readmission rate. Using eosinophils and YKL-40 together allows more precise identification of patients at high risk of COPD-related readmission.Keywords: COPD, exacerbation, readmission, biomarker, prospective observational
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- 2021
16. The Diagnosis and Management of Allergic Reactions Caused by Chinese Materia Medica
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Yongshi Yang, Yuanlin Piao, Thomas A.E. Platts-Mills, Fangmei Luo, Rui Tang, Christopher Chang, Guogang Xu, Aihua Liang, Yue Shi, Zuo-Tao Zhao, Zouxian Pan, Ji-Fu Wei, Hong Li, and Jin-Lyu Sun
- Subjects
0301 basic medicine ,Drug ,China ,Allergy ,medicine.medical_specialty ,Test dose ,media_common.quotation_subject ,Drug allergy ,Materia medica ,03 medical and health sciences ,0302 clinical medicine ,Hypersensitivity ,medicine ,Humans ,Immunology and Allergy ,Drug reaction ,Medicine, Chinese Traditional ,Intensive care medicine ,media_common ,030203 arthritis & rheumatology ,business.industry ,General Medicine ,medicine.disease ,030104 developmental biology ,Materia Medica ,business ,Drugs, Chinese Herbal - Abstract
Traditional Chinese medicines (TCM) have been used in China for thousands of years. Although TCM has been generally perceived to be safe, adverse reactions to Chinese materia medica (CMM) have been reported. Most of the adverse reactions are allergic in nature, but other mechanisms may play a role. This review focuses on the mechanism and clinical presentation of these allergic reactions. Allergic reactions can occur as a result of the active and inactive ingredients of CMM. Impurities and chemicals generated during the production process can also lead to allergic or adverse reactions. Environmental factors such as temperature, humidity, and light can cause changes in the allergenicity of drugs. Human error in formulating CMM drugs also contributes to adverse drug reactions. The management of allergic reactions to CMM includes taking a good history, avoidance of medications in the same class as those which caused prior reactions, the proper training of staff, adherence to manufacturer guidelines and expiration dates, evaluation of benefit and risk balance, and the formulation of a risk management strategy for the use of CMM. A small test dose of a considered drug before using, improvements in drug purification technology, and proper storage and clinical administration help reduce allergic reactions due to CMM.
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- 2021
17. Thermogravimetric and Kinetic Analysis of Co-Combustion of Waste Tires and Coal Blends
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Pan Danlu, Yang Huang, Rui-Tang Guo, Wei-Ting Jiang, and Wei-Guo Pan
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Bituminous coal ,Thermogravimetric analysis ,Materials science ,business.industry ,Waste tires ,General Chemical Engineering ,education ,Metallurgy ,geology.rock_type ,geology ,General Chemistry ,Activation energy ,Atmospheric temperature range ,Combustion ,Article ,law.invention ,Ignition system ,Chemistry ,law ,Coal ,business ,QD1-999 - Abstract
The waste tire is a fuel with the potential to partially replace coal due to the high heat value. In the present study, the combustion characteristics of the tire powders, bituminous coal, and their blends were examined using the thermogravimetric analyzer. The influence of heating rate on tire powders combustion and the burnout characteristics of their blends were studied. The increase of the heating rate caused the combustion temperature of the tire powders to become high but reduced the maximum weight loss rate. The combustion characteristics of the blends of coal and tire powders approached the combination of those of the individual sample, suggesting that the interaction effects between coal and tire powders were slight. Furthermore, the influence of different ratios on ignition characteristics, burnout temperature, and combustion effect of the blends was studied at the optimal combustion rate. The addition of tire powders improved the ignition characteristics, reduced the burnout temperature and increased the burnout rate of coal to a certain extent. An increase in the proportion of tire powders led to a decrease in the activation energy in the temperature range of 349-465 °C, whereas it caused an increase from 465 °C to burnout, which could be attributed to the fact that the volatile matter was more combustible than fixed carbon within 349-465 °C, and the combustion effect of fixed carbon in the tire powders gradually manifested in the combustion from 465 °C to burnout when the tire powders content increased.
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- 2021
18. Single-Pixel Imaging Using Multimode Fiber and Silicon Photonic Phased Array
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Rui Tang, Takuo Tanemura, Yusuke Kohno, Yoshiaki Nakano, and Taichiro Fukui
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Wavefront ,Point spread function ,Physics ,Speckle pattern ,Silicon photonics ,Multi-mode optical fiber ,Spatial light modulator ,Optics ,Phased-array optics ,Phased array ,business.industry ,business ,Atomic and Molecular Physics, and Optics - Abstract
Due to the unique nature of offering minimal invasiveness and high spatial resolution simultaneously, multimode fibers (MMFs) are receiving significant attention in bio-imaging applications. While a spatial light modulator is typically used for controlling the wavefront of the light emitted from the MMF, it makes the system slow, bulky, and expensive. To solve this problem, in this work, we demonstrate the use of a chip-scale integrated optical phased array (OPA) for imaging through an MMF. A silicon OPA with 128 independent phase shifters is fabricated and combined with a 3D waveguide interface to generate speckle patterns at the MMF output. Using the generated speckles and the optical power detected by a bucket detector, we experimentally obtain fine 2D images of the target. From the point spread function analysis of the system, the number of resolvable points is derived to be 1007 points, which is much larger than the number of phase shifters.
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- 2021
19. Abdominal drainage systems in modified piggyback orthotopic liver transplantation
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Rui Tang, Jin-Jie An, Lihan Yu, Qian Lu, Jun-Wei Han, and Jing-Yi Lin
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Adult ,Male ,medicine.medical_specialty ,Hepatology ,Orthotopic liver transplantation ,business.industry ,Gastroenterology ,Abdominal Cavity ,Equipment Design ,Middle Aged ,Liver Transplantation ,Surgery ,Abdominal drainage ,Postoperative Complications ,Liver ,medicine ,Drainage ,Humans ,Female ,business ,Aged - Published
- 2021
20. A Supply-chain System Framework Based on Internet of Things Using Blockchain Technology
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Qun Song, Simon Fong, Yan Zhong, Yuhao Chen, Kun Lan, and Rui Tang
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Blockchain ,Revocation ,Computer Networks and Communications ,business.industry ,Computer science ,media_common.quotation_subject ,Supply chain ,020206 networking & telecommunications ,Fault tolerance ,Access control ,02 engineering and technology ,Commit ,Computer security ,computer.software_genre ,Backup ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,business ,Function (engineering) ,computer ,media_common - Abstract
Numerous supply-chain combines with internet of things (IoT) applications have been proposed, and many methods and algorithms enhance the convenience of supply chains. However, new businesses still find it challenging to enter a supply chain, because unauthorised IoT devices of different companies illegally access resources. As security is paramount in a supply chain, IoT management has become very difficult. Public resources allocation and waste management also pose a problem. To solve the above problems, we proposed a new IoT management framework that embraces blockchain technology to help companies to form a supply chain effectively. This framework consists of an access control system, a backup peer mechanism and an internal data isolation and transmission approach. The access control system has a registrar module and an inspection module. The registrar module is mainly responsible for information registration with a registration policy, which has to be followed by all the companies in the supply chain. Besides, it provides a revocation and updating function. The inspection module focuses on judging misbehaviour and monitors the actions of the subjects; when any misoperation occurs, the system will correspondingly penalise violators. So that all related actions and information are verified and stored into blockchain, the IoT access control and safety of IoT admission are enhanced. Furthermore, in a blockchain system, if one single peer in the network breaks down, then the whole system may stop, because consensus cannot be reached. The data of the broken peer may be lost if it does not commit yet. The backup peer mechanism allows the primary peer and the backup peer to connect to an inspecting server for acquiring real-time data. The internal data isolation and transmission modules transmit and stores private data without creating a new subchannel. The proposed method is taken full account of the stability of the network and the fault tolerance to guarantee the robust of the system. To obtain unbiases results, experiments are conducted in two different blockchain environment. The results show our proposed method are promising IoT blockchain system for the supply chain.
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- 2021
21. Design and control of a novel electromagnetic actuated 3-DoFs micropositioner
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Bingxiao Ding, Xiao Xiao, Max Q.-H. Meng, Yi-Rui Tang, Yangmin Li, Ruidong Xi, and Hongliang Ren
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010302 applied physics ,Artificial neural network ,business.industry ,Computer science ,Terminal sliding mode ,Substitution method ,02 engineering and technology ,Modular design ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Motion control ,01 natural sciences ,Electronic, Optical and Magnetic Materials ,Hardware and Architecture ,Control theory ,Backstepping ,0103 physical sciences ,Electrical and Electronic Engineering ,0210 nano-technology ,Actuator ,business - Abstract
In this paper, a novel electromagnetic micropositioner is designed from an orthogonal 3-P(4S) parallel mechanism through the substitution method and modular design techniques. Preliminary prototype experiments show that the micropositioner possesses an excellent decoupling performance. Thus an independent control strategy is carried out for the motion control of the micropositioner. An RBF neural networks based adaptive backstepping terminal sliding mode controller is designed according to the nonlinearity characteristics of the actuator. Parameters of the system are identified with a genetic algorithm. Finally, the performances of the micropositioner and the developed control strategy are verified. Experimental results demonstrate that satisfactory performances can be achieved.
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- 2021
22. Convolutional neural network with group theory and random selection particle swarm optimizer for enhancing cancer image classification
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Liansheng Liu, Simon Fong, Rui Tang, Kun Lan, Yang Jie, and Gloria Li
- Subjects
Lung Neoplasms ,Computer science ,group theory ,convolutional neural network ,Breast Neoplasms ,metaheuristic ,Interval (mathematics) ,Convolutional neural network ,random selection ,Set (abstract data type) ,QA1-939 ,Humans ,Metaheuristic ,symmetry ,breast and lung cancer ,particle swarm optimization ,Contextual image classification ,business.industry ,Applied Mathematics ,Deep learning ,Swarm behaviour ,Particle swarm optimization ,Pattern recognition ,General Medicine ,Computational Mathematics ,Modeling and Simulation ,Female ,Neural Networks, Computer ,Artificial intelligence ,General Agricultural and Biological Sciences ,business ,Algorithms ,TP248.13-248.65 ,Mathematics ,image classification ,Biotechnology - Abstract
As an epitome of deep learning, convolutional neural network (CNN) has shown its advantages in solving many real-world problems. Successful CNN applications on medical prognosis and diagnosis have been achieved in recent years. Their common goal is to recognize the insights from the subtle details from medical images by building a suitable CNN model with maximum accuracy and minimum error. The CNN performance is extremely sensitive to the parameter tuning for any given network structure. To approach this concern, a novel self-tuning CNN model is proposed with a significant characteristic of having a metaheuristic-based optimizer. The most optimal set of parameters is often found via our proposed method, namely group theory and random selection-based particle swarm optimization (GTRS-PSO). The insights of symmetric essentials of model structure and parameter correlation are extracted, followed by the hierarchical partitioning of parameter space, and four operators on those partitions are designed for moving neighborhoods and formulating the swarm topology accordingly. The parameters are updated by a random selection strategy at each interval of partitions during the search process. Preliminary experiments over two radiology image datasets: breast cancer and lung cancer, are conducted for a comprehensive comparison of GTRS-PSO versus other optimization algorithms. The results show that CNN with GTRS-PSO optimizer can achieve the best performance for cancer image classifications, especially when there are symmetric components inside the data properties and model structures.
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- 2021
23. Dose Adjustment of Quetiapine and Aripiprazole for Pregnant Women Using Physiologically Based Pharmacokinetic Modeling and Simulation
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Ling Wang, Rui Tang, Xuehua Jiang, Liang Zheng, Shiwei Tang, and Miao Xu
- Subjects
Physiologically based pharmacokinetic modelling ,Metabolite ,Aripiprazole ,Pharmacology ,Models, Biological ,030226 pharmacology & pharmacy ,Quetiapine Fumarate ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Therapeutic index ,Pharmacokinetics ,Pregnancy ,medicine ,Humans ,Computer Simulation ,Pharmacology (medical) ,business.industry ,medicine.disease ,chemistry ,Schizophrenia ,Quetiapine ,Female ,Pregnant Women ,business ,030217 neurology & neurosurgery ,Antipsychotic Agents ,medicine.drug - Abstract
Quetiapine and aripiprazole are currently prescribed for pregnant women to treat schizophrenia and bipolar disorder. A dramlatic decline in the plasma concentrations of these two drugs was observed if the doses remained fixed throughout pregnancy. This study aims to develop physiologically based pharmacokinetic (PBPK) models to predict the pharmacokinetics of quetiapine, aripiprazole, and the active aripiprazole metabolite dehydroaripiprazole during pregnancy. We developed models using a combined ‘bottom-up’ and ‘top-down’ strategy. Models were verified by assessing goodness-of-fit plots and ratios of predicted-to-observed pharmacokinetic parameters. To extrapolate to pregnancy, we considered anatomical, physiological, and metabolic alterations. The in silico models were applied to predict steady-state pharmacokinetics in the three stages of pregnancy and to inform dose selection. We successfully constructed PBPK models that accurately predicted the pharmacokinetics of drugs in the adult population. Predictions suggested that the area under the concentration–time curve at steady state in the first, second, and third trimesters, respectively, decreased by 8.7%, 35.0%, and 49.1% for quetiapine and 12.6%, 38.8%, and 60.9% for the active moiety of aripiprazole. The third-trimester plasma concentrations of quetiapine were below the lower limit of the therapeutic range (100 ng/mL) for most of the time interval, and aripiprazole was entirely unable to reach its effective concentration (150 ng/mL). According to PBPK predictions, the doses should be increased in the latter two trimesters. We generally recommend that women during late pregnancy take at least 2.5- and 2-times their baseline doses of quetiapine and aripiprazole, respectively.
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- 2020
24. Estimand framework: Are we asking the right questions? A case study in the solid tumor setting
- Author
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Emily Butler, Susan Halabi, Alain Ravaud, Evgeny Degtyarev, Robert J. Motzer, Michelle Casey, Paola Aimone, Oliver Sailer, Rui Tang, Daniel J. George, Maria Jose Lechuga, Feng Liu, and Viktoriya Stalbovskaya
- Subjects
Pharmacology ,Statistics and Probability ,medicine.medical_specialty ,business.industry ,01 natural sciences ,Clinical trial ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,Research Design ,Clinical question ,Estimand ,Data Interpretation, Statistical ,Neoplasms ,medicine ,Humans ,Pharmacology (medical) ,030212 general & internal medicine ,0101 mathematics ,Intensive care medicine ,Solid tumor ,business ,Event (probability theory) - Abstract
The estimand framework requires a precise definition of the clinical question of interest (the estimand) as different ways of accounting for "intercurrent" events post randomization may result in different scientific questions. The initiation of subsequent therapy is common in oncology clinical trials and is considered an intercurrent event if the start of such therapy occurs prior to a recurrence or progression event. Three possible ways to account for this intercurrent event in the analysis are to censor at initiation, consider recurrence or progression events (including death) that occur before and after the initiation of subsequent therapy, or consider the start of subsequent therapy as an event in and of itself. The new estimand framework clarifies that these analyses address different questions ("does the drug delay recurrence if no patient had received subsequent therapy?" vs "does the drug delay recurrence with or without subsequent therapy?" vs "does the drug delay recurrence or start of subsequent therapy?"). The framework facilitates discussions during clinical trial planning and design to ensure alignment between the key question of interest, the analysis, and interpretation. This article is a result of a cross-industry collaboration to connect the International Council for Harmonisation E9 addendum concepts to applications. Data from previously reported randomized phase 3 studies in the renal cell carcinoma setting are used to consider common intercurrent events in solid tumor studies, and to illustrate different scientific questions and the consequences of the estimand choice for study design, data collection, analysis, and interpretation.
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- 2020
25. Procalcitonin Levels in Post TACE Infection
- Author
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Rui Tang, Bin Li, Shugao Han, Ming Chao, Kai Jin, Guangqiang Zhang, Wei Huang, Kefeng Ding, Yao Ye, and Jian-Jun Wu
- Subjects
0301 basic medicine ,medicine.medical_specialty ,biology ,business.industry ,C-reactive protein ,bacterial infections and mycoses ,medicine.disease ,Gastroenterology ,Group B ,Procalcitonin ,Sepsis ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Oncology ,030220 oncology & carcinogenesis ,Hepatocellular carcinoma ,Internal medicine ,medicine ,biology.protein ,Absolute neutrophil count ,Abscess ,business ,Liver abscess - Abstract
Purpose This study aimed to evaluate the value of serum procalcitonin (PCT) levels in the diagnosis of abscess and sepsis following transarterial chemoembolization (TACE) therapy among patients with hepatocellular carcinoma (HCC). Patients and Methods In this study, a retrospective review of patient charts was performed in 2221 patients who suffered from hepatocellular carcinoma and had undergone 8656 TACE procedures from January 2012 to January 2018. According to the diagnosis of infection and abscess after TACE, these participants were divided into infection group (group A, n=48) and abscess group (group B, n=35). Group B included subgroup B1 (suffered from liver abscess but no sepsis, n=16) and subgroup B2 (suffered from liver abscess and sepsis, n=19). The main observational indexes included sociodemographic characteristics and laboratory and clinical parameters. Results The results showed that the mean PCT and C-reactive protein (CRP) levels were higher in group B, but receiver-operating characteristic (ROC) analysis showed low sensitivity and specificity. Only the mean PCT level was higher in subgroup B2 than in subgroup B1 (P
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- 2020
26. Medical image super-resolution with laplacian dense network
- Author
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Rongzhu Zhang, Awais Ahmad, Marcelo Keese Albertini, Lihui Chen, Xiaomin Yang, and Rui Tang
- Subjects
Computer Networks and Communications ,business.industry ,Computer science ,020207 software engineering ,02 engineering and technology ,Resolution (logic) ,Superresolution ,Image (mathematics) ,Task (computing) ,Hardware and Architecture ,Pyramid ,0202 electrical engineering, electronic engineering, information engineering ,Media Technology ,Medical imaging ,Laplacian pyramid ,Computer vision ,Artificial intelligence ,Pyramid (image processing) ,business ,Laplace operator ,Software - Abstract
High resolution medical images are expected for accurate analysis results in medical diagnosis. However, the resolution of these medical images is always restricted by the factors such as medical devices, time constraints. Despite these restrictions, the resolution of these medical images can be enhanced with a well-designed super-resolution(SR) algorithm. As a post-processing manner after medical imaging, the adoption of the SR algorithms has the advantages of low cost and high efficiency compared with upgrading medical devices. In this paper, we propose a network named LDSRN that combines the Laplacian pyramid structure and the dense network to reconstruct clear and convincing medical HR images. Our LDSRN can make full use of the information from different pyramid levels to recover faithful HR images by the dense connection. Specifically, the Laplacian structure decomposes the difficult SR task into several easy SR tasks to obtain the HR images step by step for better reconstruction. Experimental results demonstrate that our LDSRN can obtain better HR medical images than several state-of-the-art SR methods in terms of objective indices and subjective evaluations.
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- 2020
27. Assessing the Impact of COVID-19 on the Clinical Trial Objective and Analysis of Oncology Clinical Trials—Application of the Estimand Framework
- Author
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Yue Shentu, Godwin Yung, Kaspar Rufibach, Steven Sun, Feng Liu, Oliver Sailer, Jonathan Siegel, Yi Liu, Rui Tang, Evgeny Degtyarev, Michelle Casey, Stefan Englert, and Jiangxiu Zhou
- Subjects
Statistics and Probability ,Oncology ,medicine.medical_specialty ,2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,Special Issue on COVID-19 ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pharmaceutical Science ,01 natural sciences ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Pandemic ,Time-to-event ,Medicine ,030212 general & internal medicine ,0101 mathematics ,Oncology clinical trial ,Coronavirus disease 2019 ,business.industry ,Outbreak ,Estimand ,Clinical trial ,business ,Research Article - Abstract
–Coronavirus disease 2019 (COVID-19) outbreak has rapidly evolved into a global pandemic. The impact of COVID-19 on patient journeys in oncology represents a new risk to interpretation of trial results and its broad applicability for future clinical practice. We identify key intercurrent events (ICEs) that may occur due to COVID-19 in oncology clinical trials with a focus on time-to-event endpoints and discuss considerations pertaining to the other estimand attributes introduced in the ICH E9 addendum. We propose strategies to handle COVID-19 related ICEs, depending on their relationship with malignancy and treatment and the interpretability of data after them. We argue that the clinical trial objective from a world without COVID-19 pandemic remains valid. The estimand framework provides a common language to discuss the impact of COVID-19 in a structured and transparent manner. This demonstrates that the applicability of the framework may even go beyond what it was initially intended for.
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- 2020
28. Does trade facilitation promote the efficiency of inbound tourism?—The empirical test based on Japan
- Author
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Rui Tang
- Subjects
Empirical research ,Trade facilitation ,Tourism, Leisure and Hospitality Management ,Geography, Planning and Development ,Transportation ,Business ,International economics ,Inbound tourism ,Nature and Landscape Conservation - Published
- 2020
29. Evaluation of the Efficacy of Ultrapulsed CO 2 Laser in Chronic Wounds
- Author
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Yuting Yang, Ruxi Yang, Bo Jiang, Ligang Liu, Danyu Zheng, Rui Tang, Ying Li, and Hong Yan
- Subjects
Chronic wound ,medicine.medical_specialty ,Debridement ,Microbiological culture ,Co2 laser ,integumentary system ,business.industry ,medicine.medical_treatment ,Dermatology ,01 natural sciences ,Surgery ,010309 optics ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Refractory ,0103 physical sciences ,medicine ,medicine.symptom ,business ,Wound healing ,Perfusion ,Wound treatment - Abstract
Background and objectives Chronic wound repair is a major problem in wound treatment. Recently, several studies have suggested that carbon dioxide (CO2 ) laser can be used to improve the healing of chronic wounds. The aim of the present study was to preliminarily investigate the efficacy of laser debridement in treating chronic wound through a comparison of traditional instrument/surgical debridement with the ultrapulsed CO2 laser debridement in terms of wound healing, wound infection control, and wound blood perfusion. Study design/materials and methods Patients with chronic wound admitted to the Wound Repair Clinic at The Affiliated Hospital of Southwest Medical University (Luzhou, China) between February 2019 and May 2019 were enrolled. They were randomly divided into two groups. The patients in one group were treated with traditional sharp instrument/surgical debridement (RT group; number of wounds: 28), while the patients in the other group were treated with ultrapulsed CO2 laser debridement (LT group; number of wounds: 26). An intergroup comparison was performed based on parameters, such as wound healing, wound infection control, and changes in wound blood perfusion. Results The wound healing rate and the total time to achieve healing were significantly better in the LT group versus the RT group at 7, 14, 21, and 28 days after treatment. The wound exudation scores were significantly higher in the LT group versus the RT group at 7, 14, and 28 days after treatment. The positive rate of pre-debridement bacterial culture was significantly lower in the LT group versus the RD group at 14 and 28 days after treatment. The percentage of wound perfusion/normal periwound skin perfusion was significantly higher in the LT group versus the RT group at 1, 7, and 14 days after treatment. Conclusion For the treatment of chronic refractory wounds, the ultrapulsed CO2 laser exhibits higher accuracy, more effectively controls wound infection, promotes an increase in wound blood perfusion, and achieves faster wound healing compared with traditional sharp instrument/surgical debridement. Lasers Surg. Med. © 2020 Wiley Periodicals LLC.
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- 2020
30. Experimental Studies on the Emission of Gaseous Pollutants in an Oxy-Fuel-Fluidized Bed with the Cofiring of Coal and Biomass Waste Fuels
- Author
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Qinwen Liu, Wenqi Zhong, Aibing Yu, Rui Tang, and Hongqian Yu
- Subjects
Pollutant ,Waste management ,business.industry ,General Chemical Engineering ,Energy Engineering and Power Technology ,Biomass ,Cofiring ,Combustion ,Oxy-fuel ,Fuel Technology ,Fluidized bed ,Environmental science ,Coal ,business ,Waste disposal - Abstract
The co-firing of coal and biomass waste is an important technological direction in oxy-fuel combustion for both CO2 capture and waste disposal. The emission of pollutants during co-firing in an oxy...
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- 2020
31. Time Dependency in Physician Decision-Making
- Author
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Rui Tang, Junjian Yi, Lawrence Jin, Songfa Zhong, and Han Ye
- Subjects
Occupational licensing ,medicine.medical_specialty ,business.industry ,05 social sciences ,Patient characteristics ,Physician Decision ,General Medicine ,Emergency department ,humanities ,Work hours ,0502 economics and business ,Emergency medicine ,Medicine ,Time dependency ,Circadian rhythm ,050207 economics ,business ,050205 econometrics - Abstract
Using data on more than 250,000 emergency department (ED) visits, we study the time-of-day effect on physician decision-making and patient outcomes. After controlling for patient characteristics, physician fixed effects, and work hours, we find that cases treated at night have significantly lower probability of inpatient admission and involve fewer medical tests. These cases are also more likely to revisit the ED, which supports the decline in physician performance. While we cannot completely rule out the possibility of limited hospital arrangements, our findings are most consistent with the detrimental effect of disrupted circadian rhythms during night shifts.
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- 2020
32. Numerical study on the heat release capacity of the active-passive phase change wall affected by ventilation velocity
- Author
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Shijian Duan, Huijun Yang, Jianxuan Guo, Wanling Hu, Rui Tang, Tuo Wang, Yun Zhang, and Yong Guan
- Subjects
Materials science ,Chemical substance ,060102 archaeology ,Renewable Energy, Sustainability and the Environment ,business.industry ,020209 energy ,06 humanities and the arts ,02 engineering and technology ,Mechanics ,Thermal energy storage ,Solar energy ,Phase-change material ,law.invention ,Apparent temperature ,law ,Thermal ,Ventilation (architecture) ,0202 electrical engineering, electronic engineering, information engineering ,0601 history and archaeology ,Centrifugal fan ,business - Abstract
The north wall of Chinese solar greenhouses (CSGs) plays an important role in maintaining their indoor thermal environment without additional heating during the wintertime. To enhance the heat storage/release capacity of the CSG wall and further improve the indoor thermal environment, an active-passive phase change thermal storage wall system has been developed in this study. The system was composed of 5 concentrating solar air collectors (CSACs), 6 tanks that were embedded in the north wall of the CSG and filled by phase change material (PCM), tubes linking the tanks and the CSACs and a centrifugal fan with variable-frequency drive (VFD). During the daytime, the solar energy was collected by the CSACs and stored in the tanks, whereas during the nighttime, the stored energy was released into the indoor environment of the CSG through a passive heat mode of the north wall or an active heat mode of the system. Then, a numerical model of the active-passive phase change thermal storage wall system has been developed. The simulation results were validated by the experimental data with the maximum relative error and average relative error being 5.6% and 3.9%, respectively. Furthermore, the heat release capacity characteristics in three cases with the air velocities of 2 m/s (Case A), 3 m/s (Case B) and 4 m/s (Case C) at indoor outlet for the active heat mode and a passive heating case (Case D) were chosen as the control groups for study. In the proposed wall, the heat release capacity of ventilation increased and that of inner surface of the wall declined with an increasing ventilation velocity. The total heat release capacities of the cases A, B and C were 38.12 MJ, 40.26 MJ, 42.00 MJ, respectively, higher than that of the case D (33.76 MJ). On the other hand, the calculated temperature distribution indicated that there was no thermal-stable layer within depth of the 360 mm in the wall due to an apparent temperature variation of the PCM layer by ventilation. These results suggested that the proposed system could effectively promote the heat storage/release capacity of the middle layer of the wall.
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- 2020
33. Multi-view convolutional neural network with leader and long-tail particle swarm optimizer for enhancing heart disease and breast cancer detection
- Author
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Tengyue Li, Kun Lan, Rui Tang, Liansheng Liu, Yuhao Chen, Raymond K. Wong, Simon Fong, and Joao Alexandre Lobo Marques
- Subjects
0209 industrial biotechnology ,Computer science ,business.industry ,Deep learning ,Particle swarm optimization ,Pattern recognition ,02 engineering and technology ,medicine.disease ,Convolutional neural network ,Set (abstract data type) ,020901 industrial engineering & automation ,Breast cancer ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,Feature (machine learning) ,medicine ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Software - Abstract
As the core of deep learning methodologies, convolutional neural network (CNN) has received wide attention in the area of image recognition. In particular, it requires very precise, accurate and fine recognition power for medical imaging processing. Numerous promising prospects of CNN applications with medical prognosis and diagnosis have been reported in the related works, and the common goal among the literature is mainly to analyze the insights from the finest details of medical images and build a more suitable model with maximum accuracy and minimum error. Thus, a novel CNN model is proposed with the characteristics of multi-view feature preprocessing and swarm-based parameter optimization. Additional information of extra features from multi-view is discovered potentially for training, and simultaneously, the most optimal set of CNN parameters are provided by our proposed leader and long-tail-based particle swarm optimization. The purpose of such a hybrid method is to achieve the highest possibility of target recognition in medical images. Preliminary experiments over cardiovascular and mammogram datasets related to heart disease prediction and breast cancer classification, respectively, are designed and conducted, and the results indicate encouraging performance compared to other existing CNN model optimization methods.
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- 2020
34. BRAFi induced demethylation of miR-152-5p regulates phenotype switching by targeting TXNIP in cutaneous melanoma
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Ting Wang, Ming-Rui Tang, Qiang Sun, Xu Sun, Shi-Feng Jin, Mengzhu Lv, Chenchao Wang, Shuang Tong, and Ke-Zhu Li
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Male ,Proto-Oncogene Proteins B-raf ,0301 basic medicine ,Cancer Research ,Skin Neoplasms ,Clinical Biochemistry ,Regulator ,Pharmaceutical Science ,Metastasis ,03 medical and health sciences ,0302 clinical medicine ,Cell Movement ,Cell Line, Tumor ,Humans ,Medicine ,Neoplasm Metastasis ,Promoter Regions, Genetic ,Melanoma ,Protein Kinase Inhibitors ,Pharmacology ,Gene knockdown ,business.industry ,Cell Cycle ,Biochemistry (medical) ,Cell Biology ,Methylation ,Middle Aged ,medicine.disease ,Phenotype ,Demethylation ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,030104 developmental biology ,Vemurafenib ,Drug Resistance, Neoplasm ,030220 oncology & carcinogenesis ,Mutation ,Cutaneous melanoma ,Cancer research ,Female ,Carrier Proteins ,business ,TXNIP - Abstract
Treatment of advanced BRAFV600-mutant melanoma using BRAF inhibitors (BRAFi) eventually leads to drug resistance and selects for highly metastatic tumor cells. We compared the most differentially dysregulated miRNA expression profiles of vemurafenib-resistant and highly-metastatic melanoma cell lines obtained from GEO DataSets. We discovered miR-152-5p was a potential regulator mediating melanoma drug resistance and metastasis. Functionally, knockdown of miR-152-5p significantly compromised the metastatic ability of BRAFi-resistant melanoma cells and overexpression of miR-152-5p promoted the formation of slow-cycling phenotype. Furthermore, we explored the cause of how and why miR-152-5p affected metastasis in depth. Mechanistically, miR-152-5p targeted TXNIP which affected metastasis and BRAFi altered the methylation status of MIR152 promoter. Our study highlights the crucial role of miR-152-5p on melanoma metastasis after BRAFi treatment and holds significant implying that discontinuous dosing strategy may improve the benefit of advanced BRAFV600-mutant melanoma patients.
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- 2020
35. Impacts of technology-guided occupant behavior on air-conditioning system control and building energy use
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Shaobo Sun, Rui Tang, and Shengwei Wang
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Consumption (economics) ,Architectural engineering ,ComputingMilieux_THECOMPUTINGPROFESSION ,business.industry ,Computer science ,0211 other engineering and technologies ,Building energy ,02 engineering and technology ,Building and Construction ,Energy consumption ,Air conditioning ,Control system ,021105 building & construction ,HVAC ,021108 energy ,Electricity ,business ,Energy (signal processing) ,Energy (miscellaneous) - Abstract
Occupant behavior is an important factor affecting building energy consumption. Many studies have been conducted recently to model occupant behavior and analyze its impact on building energy use. However, to achieve a reduction of energy consumption in buildings, the coordination between occupant behavior and energy-efficient technologies are essential to be considered simultaneously rather than separately considering the development of technologies and the analysis of occupant behavior. It is important to utilize energy-efficient technologies to guide the occupants to avoid unnecessary energy uses. This study, therefore, proposes a new concept, “technology-guided occupant behavior” to coordinate occupant behavior with energy-efficient technologies for building energy controls. The occupants are involved into the control loop of central air-conditioning systems by actively responding to their cooling needs. On-site tests are conducted in a Hong Kong campus building to analyze the performance of “technology-guided occupant behavior” on building energy use. According to the measured data, the occupant behavior guided by the technology could achieve “cooling on demand” principle and hence reduce the energy consumption of central air-conditioning system in the test building about 23.5%, which accounts for about 7.8% of total building electricity use.
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- 2020
36. Initial experience of drug-eluting bead transarterial chemoembolization with CalliSpheres® microspheres in treating liver metastases patients
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Rui Tang, Jian-Jun Wu, Bin Li, Guangqiang Zhang, Kai Jin, and Ming Chao
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Cancer Research ,medicine.medical_specialty ,Drug eluting beads ,business.industry ,Urology ,treatment response ,Microsphere ,Liver metastases ,safety profiles ,Oncology ,drug-eluting bead transarterial chemoembolization (DEB-TACE) ,treatment efficacy ,Medicine ,Radiology, Nuclear Medicine and imaging ,Original Article ,business - Abstract
Background To evaluate the treatment efficacy, survival, safety profiles and factors affecting the clinical outcomes of drug-eluting bead transarterial chemoembolization (DEB-TACE) in liver metastases patients. Methods A total of 39 liver metastases patients underwent DEB-TACE treatment with the novel CalliSpheres® microspheres were retrospectively enrolled. Patients’ demographic information, tumor characteristics, history of treatment, laboratory indexes, and treatment procedures were recorded, meanwhile, patients’ treatment response survival and adverse events were also evaluated. Results The rate of complete response, partial response, stable disease and progressive disease of total treated cycles were 1.6%, 34.4%, 54.7% and 9.4%, respectively, and 5.0%, 26.7%, 57.8% and 10.6% of total treated nodules, respectively. Regarding survival, the median progression-free survival (PFS) was 15.3 months (95% CI: 9.7–20.8 months) and the median overall survival was 28.7 months (95% CI: 20.3–37.0 months). Cox’s proportional hazard model regression analyses disclosed that previous liver resection was correlated with worse PFS, while combined targeted therapy and disease control rate after the first DEB-TACE were correlated with longer PFS. For safety profiles, biochemical indexes showed that patients’ liver function was deteriorated at 1 week after DEB-TACE, but was mainly recovered at 1 month after DEB-TACE. Conclusions DEB-TACE is an efficient and safe treatment choice for liver metastases, moreover, strict screening of indications for resection and combined therapy with targeted therapy might improve the efficacy of DEB-TACE.
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- 2020
37. Fruit and vegetable intake in relation to depressive and anxiety symptoms among adolescents in 25 low- and middle-income countries
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Danijela Gasevic, Hong jie Yu, Peigang Wang, Samuel D. Towne, Qiu tong Chen, Jie Zhang, Rui Tang, Ming wei Liu, and Qi qiang He
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Male ,Adolescent ,Anxiety ,Logistic regression ,Eating ,03 medical and health sciences ,0302 clinical medicine ,Surveys and Questionnaires ,Environmental health ,Vegetables ,Prevalence ,medicine ,Humans ,Child ,Students ,Developing Countries ,Poverty ,Depression (differential diagnoses) ,Schools ,Depression ,business.industry ,Anxiety Disorders ,Health Surveys ,Mental health ,Causality ,030227 psychiatry ,Psychiatry and Mental health ,Clinical Psychology ,Cross-Sectional Studies ,Low and middle income countries ,Fruit ,Health survey ,Female ,Self Report ,medicine.symptom ,business ,030217 neurology & neurosurgery - Abstract
Fruit and vegetable intake (FVI) has been inversely associated with the risk of depression. However, there is a gap in evidence from low- and middle-income countries (LMICs) and among adolescents. Further, little is known about FVI in relation to the risk of anxiety. Therefore, we examined these associations among adolescents in 25 LMICs.Data from the Global School-based Student Health Survey were analyzed in 65267 adolescents aged 12-15 years (mostly nationally representative). Depressive and anxiety symptoms during the past 12 months were self-reported. Frequencies of FVI during the past 30 days were collected. Multivariable logistic regression and meta-analyses of country-wise estimates were undertaken.The prevalence of depressive and anxiety symptoms were 30.3% and 9.8%, respectively. A meta-analysis indicated that FVI of5 times/d (vs. higher) was associated with an increased risk of depressive symptoms (OR = 1.10; 95% CI = 1.02-1.18). The pooled estimate for anxiety symptoms was insignificant. When examined separately, fruit intake was significantly associated with both lower risks of depressive and anxiety symptoms; vegetable intake was significantly associated with a lower risk of depressive symptoms, but not with anxiety.Only adolescents attending school were included; the cross-sectional design cannot reveal causality; outcomes were not measured against the gold-standard diagnostic criteria.Our study provides multi-national evidence of the protective effect of FVI against depressive and anxiety symptoms among adolescents in LMICs, enabling key stakeholders to address mental health issues among adolescents globally.
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- 2020
38. Inhibition of long noncoding RNA growth arrest–specific 5 attenuates cerebral injury induced by deep hypothermic circulatory arrest in rats
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Rui Tang, Enyi Shi, Jinduo Liu, Jiang Shi, Shilun Gao, and Tianxiang Gu
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Pulmonary and Respiratory Medicine ,Small interfering RNA ,Gene knockdown ,TUNEL assay ,biology ,Kinase ,business.industry ,030204 cardiovascular system & hematology ,Cell biology ,Reverse transcription polymerase chain reaction ,03 medical and health sciences ,0302 clinical medicine ,Bcl-2-associated X protein ,030228 respiratory system ,biology.protein ,Medicine ,Surgery ,GAS5 ,Cardiology and Cardiovascular Medicine ,business ,Protein kinase B - Abstract
Objective We sought to investigate cerebroprotection by targeting long noncoding RNA growth arrest–specific 5 in a rat model of prolonged deep hypothermic circulatory arrest. Methods Deep hypothermic circulatory arrest was conducted for 60 minutes when the pericranial temperature was cooled to 18°C in rats. Dual luciferase assay was used to detect the binding relationship between growth arrest–specific 5 and putative target microRNAs. Adeno-associated viral vectors containing growth arrest–specific 5 small interfering RNA or negative control small interfering RNA were administered by intracerebroventricular injection 14 days before deep hypothermic circulatory arrest. Expressions of growth arrest–specific 5, microRNA-23a, phosphate and tension homology, Bcl-2–associated X protein, Bcl-2, phospho-protein kinase B, protein kinase B, and cleaved caspase-3 in the hippocampus were measured by quantitative reverse transcription polymerase chain reaction and Western blot. Spatial learning and memory functions were evaluated by the Morris water maze test. The hippocampus was harvested for histologic examinations and terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick-end labeling staining. Results Luciferase assay showed that growth arrest–specific 5 targeted and inhibited microRNA-23a expression. After deep hypothermic circulatory arrest, hippocampal growth arrest–specific 5 expression was significantly enhanced with a robust decrease of hippocampal microRNA-23a expression. Small interfering RNA growth arrest–specific 5 significantly inhibited growth arrest–specific 5 expression and enhanced microRNA-23a expression in the hippocampus, accompanied with decreases of phosphate and tension homology and Bcl-2–associated X protein expression, and increases of Bcl-2 expression and phospho-protein kinase B/protein kinase B ratio. Growth arrest–specific 5 knockdown inhibited neuronal apoptosis, attenuated histologic damages, and increased the number of surviving neurons in the hippocampus. Spatial learning and memory functions after deep hypothermic circulatory arrest were also markedly improved by growth arrest–specific 5 inhibition. Conclusions Inhibition of large noncoding RNA growth arrest–specific 5 can provide a powerful cerebroprotection against deep hypothermic circulatory arrest, which may be mediated through microRNA-23a/phosphate and tension homology pathway.
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- 2020
39. Integrated Optical Unitary Converter based on Nonuniform Multimode Interference Coupler
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Rui Tang, Yoshiaki Nakano, Ryota Tanomura, and Takuo Tanemura
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Footprint (electronics) ,Physics ,Interference (communication) ,business.industry ,Sorting ,Optoelectronics ,Integrated optics ,Multimode interference ,business ,Mimo communication ,Optical coupling ,Unitary state - Abstract
We fabricate and demonstrate a monolithic InP-based optical unitary converter (OUC) with nonuniform multimode interference (MMI) couplers. Reconfigurable 4-mode sorting is experimentally demonstrated with a significantly reduced footprint compared with the conventional OUCs using uniform MMI couplers.
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- 2021
40. A trauma‐related survival predictive model of acute respiratory distress syndrome
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Rui Tang, Daoxin Wang, Junnan Peng, and Hanghang Wang
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Adult ,Male ,Microbiology (medical) ,medicine.medical_specialty ,Clinical Biochemistry ,Hematocrit ,predictive model ,Risk Factors ,Internal medicine ,medicine ,Humans ,Immunology and Allergy ,Simplified Acute Physiology Score ,Research Articles ,Aged ,Retrospective Studies ,Respiratory Distress Syndrome ,Models, Statistical ,medicine.diagnostic_test ,business.industry ,laboratory Inspection ,Biochemistry (medical) ,Public Health, Environmental and Occupational Health ,Area under the curve ,Retrospective cohort study ,Red blood cell distribution width ,Hematology ,Odds ratio ,acute respiratory distress syndrome ,Middle Aged ,Prognosis ,Confidence interval ,Medical Laboratory Technology ,trauma ,SAPS II ,Wounds and Injuries ,Female ,business ,Research Article - Abstract
Purpose The purpose of this study was to construct and validate a simple model for the prediction of survival in patients with trauma‐related ARDS. Methods This is a single‐center, retrospective cohort study using MIMIC‐III Clinical Database. Results 842 patients were included in this study. 175 (20.8%) died in‐hospital, whereas 215 (25.5%) died within 90 days. The deceased group had higher Acute Physiology Score (APS III), Sequential Organ Failure Assessment (SOFA), and Simplified Acute Physiology Score II (SAPS II). In multivariate logistic regression model, independent risk factors for mortality in ARDS patients included age ([odds ratio] OR, 1.035; 95% confidence interval [CI], 1.020–1.049), body mass index (OR, 0.957; 95% CI, 0.926–0.989), red blood cell distribution width (OR, 1.283; 95% CI, 1.141–1.443), hematocrit (OR, 1.055; 95% CI, 1.017–1.095), lactate (OR, 1.226; 95% CI, 1.127–1.334), blood urea nitrogen (OR, 1.025; 95% CI, 1.007–1.044), acute kidney failure (OR, 1.875; 95% CI, 1.188–2.959), sepsis (OR, 1.917; 95% CI, 1.165–3.153), type of admission (emergency vs. elective [OR, 2.822; 95% CI, 1.647–4.837], and urgent vs. elective [OR, 5.156; 95% CI, 1.896–14.027]). The area under the curve (AUC) of the model was 0.826, which was superior than the SAPS II (0.776), APS III (0.718), and SOFA (0.692). In the cross‐validation model, the accuracy of the test set was 0.823, the precision was 0.643, and the AUC was 0.813. Conclusions We established a prediction model using data commonly used in the clinic, which has high accuracy and precision and is worthy of use in clinical practice., Acute respiratory distress syndrome is a heterogeneous disease. We established a prognostic model for in‐hospital death in patients with traumatic acute respiratory distress syndrome. So that we can timely identify high‐risk patients and formulate intervention strategies.
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- 2021
41. The association between mortality and inhaled antibiotics for ventilator-associated pneumonia: A complex situation-Author's reply
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Rui Luo and Rui Tang
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medicine.medical_specialty ,business.industry ,MEDLINE ,Ventilator-associated pneumonia ,Pneumonia, Ventilator-Associated ,Critical Care and Intensive Care Medicine ,medicine.disease ,Inhaled antibiotics ,Respiration, Artificial ,Anti-Bacterial Agents ,Administration, Inhalation ,Medicine ,Humans ,business ,Intensive care medicine - Published
- 2021
42. Hyperoxemia and excess oxygen use in early acute respiratory distress syndrome: Insights from the LUNG SAFE study
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Madotto F, Rezoagli E, Pham T, Schmidt M, McNicholas B, Protti A, Panwar R, Bellani G, Fan E, van Haren F, Brochard L, Laffey JG, Antonio Pesenti, John G Laffey, Laurent Brochard, Andres Esteban, Luciano Gattinoni, Frank van Haren, Anders Larsson, Daniel F McAuley, Marco Ranieri, Gordon Rubenfeld, B Taylor Thompson, Hermann Wrigge, Arthur S Slutsky, Fernando Rios, T Sottiaux, P Depuydt, Fredy S Lora, Luciano Cesar Azevedo, Eddy Fan, Guillermo Bugedo, Haibo Qiu, Marcos Gonzalez, Juan Silesky, Vladimir Cerny, Jonas Nielsen, Manuel Jibaja, Tài Pham, Dimitrios Matamis, Jorge Luis Ranero, Pravin Amin, S M Hashemian, Kevin Clarkson, Giacomo Bellani, Kiyoyasu Kurahashi, Asisclo Villagomez, Amine Ali Zeggwagh, Leo M Heunks, Jon Henrik Laake, Jose Emmanuel Palo, Antero do Vale Fernandes, Dorel Sandesc, Yaasen Arabi, Vesna Bumbasierevic, Nicolas Nin, Jose A Lorente, Lise Piquilloud, Fekri Abroug, Lia McNamee, Javier Hurtado, Ed Bajwa, Gabriel Démpaire, Uhc Mother Theresa, Hektor Sula, Lordian Nunci, Alma Cani, Villa Maria, Alan Zazu, Christian Dellera, Carolina S Insaurralde, Risso V Alejandro, Julio Daldin, Mauricio Vinzio, Ruben O Fernandez, Luis P Cardonnet, Lisandro R Bettini, Mariano Carboni Bisso, Emilio M Osman, Mariano G Setten, Pablo Lovazzano, Javier Alvarez, Veronica Villar, Norberto C Pozo, Nicolas Grubissich, Gustavo A Plotnikow, Daniela N Vasquez, Santiago Ilutovich, Norberto Tiribelli, Ariel Chena, Carlos A Pellegrini, María G Saenz, Elisa Estenssoro, Matias Brizuela, Hernan Gianinetto, Pablo E Gomez, Valeria I Cerrato, Marco G Bezzi, Silvina A Borello, Flavia A Loiacono, Adriana M Fernandez, Serena Knowles, Claire Reynolds, Deborah M Inskip, Jennene J Miller, Jing Kong, Christina Whitehead, Shailesh Bihari, Aylin Seven, Amanda Krstevski, Helen J Rodgers, Rebecca T Millar, Toni E Mckenna, Irene M Bailey, Gabrielle C Hanlon, Anders Aneman, Joan M Lynch, Raman Azad, John Neal, Paul W Woods, Brigit L Roberts, Mark R Kol, Helen S Wong, Katharina C Riss, Thomas Staudinger, Xavier Wittebole, Caroline Berghe, Pierre A Bulpa, Alain M Dive, Rik Verstraete, Herve Lebbinck, Pieter Depuydt, Joris Vermassen, Philippe Meersseman, Helga Ceunen, Jonas I Rosa, Daniel O Beraldo, Claudio Piras, Adenilton M Rampinelli, Antonio P Nassar Jr, Sergio Mataloun, Marcelo Moock, Marlus M Thompson, Claudio H Gonçalves, Ana Carolina P Antônio, Aline Ascoli, Rodrigo S Biondi, Danielle C Fontenele, Danielle Nobrega, Vanessa M Sales, Suresh Shindhe, Dk Maizatul Aiman B Pg Hj Ismail, John Laffey, Francois Beloncle, Kyle G Davies, Rob Cirone, Venika Manoharan, Mehvish Ismail, Ewan C Goligher, Mandeep Jassal, Erin Nishikawa, Areej Javeed, Gerard Curley, Nuttapol Rittayamai, Matteo Parotto, Niall D Ferguson, Sangeeta Mehta, Jenny Knoll, Antoine Pronovost, Sergio Canestrini, Alejandro R Bruhn, Patricio H Garcia, Felipe A Aliaga, Pamela A Farías, Jacob S Yumha, Claudia A Ortiz, Javier E Salas, Alejandro A Saez, Luis D Vega, Eduardo F Labarca, Felipe T Martinez, Nicolás G Carreño, Pilar Lora, Haitao Liu, Ling Liu, Rui Tang, Xiaoming Luo, Youzhong An, Huiying Zhao, Yan Gao, Zhe Zhai, Zheng L Ye, Wei Wang, Wenwen Li, Qingdong Li, Ruiqiang Zheng, Wenkui Yu, Juanhong Shen, Xinyu Li, Tao Yu, Weihua Lu, Ya Q Wu, Xiao B Huang, Zhenyang He, Yuanhua Lu, Hui Han, Fan Zhang, Renhua Sun, Hua X Wang, Shu H Qin, Bao H Zhu, Jun Zhao, Jian Liu, Bin Li, Jing L Liu, Fa C Zhou, Qiong J Li, Xing Y Zhang, Zhou Li-Xin, Qiang Xin-Hua, Liangyan Jiang, Yuan N Gao, Xian Y Zhao, Yuan Y Li, Xiao L Li, Chunting Wang, Qingchun Yao, Rongguo Yu, Kai Chen, Huanzhang Shao, Bingyu Qin, Qing Q Huang, Wei H Zhu, Ai Y Hang, Ma X Hua, Yimin Li, Yonghao Xu, Yu D Di, Long L Ling, Tie H Qin, Shou H Wang, Junping Qin, Yi Han, Suming Zhou, Monica P Vargas, Juan I Silesky Jimenez, Manuel A González Rojas, Jaime E Solis-Quesada, Christian M Ramirez-Alfaro, Jan Máca, Peter Sklienka, Jakob Gjedsted, Aage Christiansen, Boris G Villamagua, Miguel Llano, Philippe Burtin, Gautier Buzancais, Pascal Beuret, Nicolas Pelletier, Satar Mortaza, Alain Mercat, Jonathan Chelly, Sébastien Jochmans, Nicolas Terzi, Cédric Daubin, Guillaume Carteaux, Nicolas de Prost, Jean-Daniel Chiche, Fabrice Daviaud, Tai Pham, Muriel Fartoukh, Guillaume Barberet, Jerome Biehler, Jean Dellamonica, Denis Doyen, Jean-Michel Arnal, Anais Briquet, Sami Hraiech, Laurent Papazian, Arnaud Follin, Damien Roux, Jonathan Messika, Evangelos Kalaitzis, Laurence Dangers, Alain Combes, Siu-Ming Au, Gaetan Béduneau, Dorothée Carpentier, Elie H Zogheib, Herve Dupont, Sylvie Ricome, Francesco L Santoli, Sebastien L Besset, Philippe Michel, Bruno Gelée, Pierre-Eric Danin, Bernard Goubaux, Philippe J Crova, Nga T Phan, Frantz Berkelmans, Julio C Badie, Romain Tapponnier, Josette Gally, Samy Khebbeb, Jean-Etienne Herbrecht, Francis Schneider, Pierre-Louis M Declercq, Jean-Philippe Rigaud, Jacques Duranteau, Anatole Harrois, Russell Chabanne, Julien Marin, Charlene Bigot, Sandrine Thibault, Mohammed Ghazi, Messabi Boukhazna, Salem Ould Zein, Jack R Richecoeur, Daniele M Combaux, Fabien Grelon, Charlene Le Moal, Elise P Sauvadet, Adrien Robine, Virginie Lemiale, Danielle Reuter, Martin Dres, Alexandre Demoule, Dany Goldgran-Toledano, Loredana Baboi, Claude Guérin, Ralph Lohner, Jens Kraßler, Susanne Schäfer, Kai D Zacharowski, Patrick Meybohm, Andreas W Reske, Philipp Simon, Hans-Bernd F Hopf, Michael Schuetz, Thomas Baltus, Metaxia N Papanikolaou, Theonymfi G Papavasilopoulou, Giannis A Zacharas, Vasilis Ourailogloy, Eleni K Mouloudi, Eleni V Massa, Eva O Nagy, Electra E Stamou, Ellada V Kiourtzieva, Marina A Oikonomou, Luis E Avila, Cesar A Cortez, Johanna E Citalán, Sameer A Jog, Safal D Sable, Bhagyesh Shah, Mohan Gurjar, Arvind K Baronia, Mohammedfaruk Memon, Radhakrishnan Muthuchellappan, Venkatapura J Ramesh, Anitha Shenoy, Ramesh Unnikrishnan, Subhal B Dixit, Rachana V Rhayakar, Nagarajan Ramakrishnan, Vallish K Bhardwaj, Heera L Mahto, Sudha V Sagar, Vijayanand Palaniswamy, Deeban Ganesan, Seyed Mohammadreza Hashemian, Hamidreza Jamaati, Farshad Heidari, Edel A Meaney, Alistair Nichol, Karl M Knapman, Donall O'Croinin, Eimhin S Dunne, Dorothy M Breen, Kevin P Clarkson, Rola F Jaafar, Rory Dwyer, Fahd Amir, Olaitan O Ajetunmobi, Aogan C O'Muircheartaigh, Colin S Black, Nuala Treanor, Daniel V Collins, Wahid Altaf, Gianluca Zani, Maurizio Fusari, Savino Spadaro, Carlo A Volta, Romano Graziani, Barbara Brunettini, Salvatore Palmese, Paolo Formenti, Michele Umbrello, Andrea Lombardo, Elisabetta Pecci, Marco Botteri, Monica Savioli, Alessandro Protti, Alessia Mattei, Lorenzo Schiavoni, Andrea Tinnirello, Manuel Todeschini, Antonino Giarratano, Andrea Cortegiani, Sara Sher, Anna Rossi, Massimo M Antonelli, Luca M Montini, Paolo Casalena, Sergio Scafetti, Giovanna Panarello, Giovanna Occhipinti, Nicolò Patroniti, Matteo Pozzi, Roberto R Biscione, Michela M Poli, Ferdinando Raimondi, Daniela Albiero, Giulia Crapelli, Eduardo Beck, Vincenzo Pota, Vincenzo Schiavone, Alexandre Molin, Fabio Tarantino, Giacomo Monti, Elena Frati, Lucia Mirabella, Gilda Cinnella, Tommaso Fossali, Riccardo Colombo, Pierpaolo Terragni Ilaria Pattarino, Francesco Mojoli, Antonio Braschi, Erika E Borotto, Andrea N Cracchiolo, Daniela M Palma, Francesco Raponi, Giuseppe Foti, Ettore R Vascotto, Andrea Coppadoro, Luca Brazzi, Leda Floris, Giorgio A Iotti, Aaron Venti, Osamu Yamaguchi, Shunsuke Takagi, Hiroki N Maeyama, Eizo Watanabe, Yoshihiro Yamaji, Kazuyoshi Shimizu, Kyoko Shiozaki, Satoru Futami, Sekine Ryosuke, Koji Saito, Yoshinobu Kameyama, Keiko Ueno, Masayo Izawa, Nao Okuda, Hiroyuki Suzuki, Tomofumi Harasawa, Michitaka Nasu, Tadaaki Takada, Fumihito Ito, Shin-Nunomiya Kansuke-Koyama, Toshikazu Abe, Kohkichi Andoh, Kohei Kusumoto, Akira Hirata, Akihiro Takaba, Hiroyasu Kimura, Shuhei Matsumoto, Ushio Higashijima, Hiroyuki Honda, Nobumasa Aoki, Hiroshi Imai, Yasuaki Ogino, Ichiko Mizuguchi, Kazuya Ichikado, Kenichi Nitta, Katsunori Mochizuki, Tomoaki Hashida, Hiroyuki Tanaka, Tomoyuki Nakamura, Daisuke Niimi, Takeshi Ueda, Yozo Kashiwa, Akinori Uchiyama, Olegs Sabelnikovs, Peteris Oss, Youssef Haddad, Kong Y Liew, Silvio A Ñamendys-Silva, Yves D Jarquin-Badiola, Luis A Sanchez-Hurtado, Saira S Gomez-Flores, Maria C Marin, Asisclo J Villagomez, Jordana S Lemus, Jonathan M Fierro, Mavy Ramirez Cervantes, Francisco Javier Flores Mejia, Dulce Dector, Dulce M Dector, Daniel R Gonzalez, Claudia R Estrella, Jorge R Sanchez-Medina, Alvaro Ramirez-Gutierrez, Fernando G George, Janet S Aguirre, Juan A Buensuseso, Manuel Poblano, Tarek Dendane, Hicham Balkhi, Mina Elkhayari, Nacer Samkaoui, Hanane Ezzouine, Abdellatif Benslama Mourad Amor, Wajdi Maazouzi, Nedim Cimic, Oliver Beck, Monique M Bruns, Jeroen A Schouten, Myra-Rinia, Monique Raaijmakers, Hellen M Van Wezel, Serge J Heines, Ulrich Strauch, Marc P Buise, Fabienne D Simonis, Marcus J Schultz, Jennifer C Goodson, Troy S Browne, Leanlove Navarra, Anna Hunt, Robyn A Hutchison, Mathew B Bailey, Lynette Newby, Colin Mcarthur, Michael Kalkoff, Alex Mcleod, Jonathan Casement, Danielle J Hacking, Finn H Andersen, Merete S Dolva, Jon H Laake, Andreas Barratt-Due, Kim Andre L Noremark, Eldar Søreide, Brit Å Sjøbø, Anne B Guttormsen, Hector H Leon Yoshido, Ronald Zumaran Aguilar, Fredy A Montes Oscanoa, Alain U Alisasis, Joanne B Robles, Rossini Abbie B Pasanting-Lim, Beatriz C Tan, Pawel Andruszkiewicz, Karina Jakubowska, Cristina M Coxo, António M Alvarez, Bruno S Oliveira, Gustavo M Montanha, Nelson C Barros, Carlos S Pereira, António M Messias, Jorge M Monteiro, Ana M Araujo, Nuno T Catorze, Susan M Marum, Maria J Bouw, Rui M Gomes, Vania A Brito, Silvia Castro, Joana M Estilita, Filipa M Barros, Isabel M Serra, Aurelia M Martinho, Dana R Tomescu, Alexandra Marcu, Ovidiu H Bedreag, Marius Papurica, Dan E Corneci, Silvius Ioan Negoita, Evgeny Grigoriev, Alexey I Gritsan, Andrey A Gazenkampf, Ghaleb Almekhlafi, Mohamad M Albarrak, Ghanem M Mustafa, Khalid A Maghrabi, Nawal Salahuddin, Tharwat M Aisa, Ahmed S Al Jabbary, Edgardo Tabhan, Yaseen M Arabi, Olivia A Trinidad, Hasan M Al Dorzi, Edgardo E Tabhan, Stefan Bolon, Oliver Smith, Jordi Mancebo, Hernan Aguirre-Bermeo, Juan C Lopez-Delgado, Francisco Esteve, Gemma Rialp, Catalina Forteza, Candelaria De Haro, Antonio Artigas, Guillermo M Albaiceta, Sara De Cima-Iglesias, Leticia Seoane-Quiroga, Alexandra Ceniceros-Barros, Antonio L Ruiz-Aguilar, Luis M Claraco-Vega, Juan Alfonso Soler, Maria Del Carmen Lorente, Cecilia Hermosa, Federico Gordo, Miryam-Prieto-González, Juan B López-Messa, Manuel P Perez, Cesar P Perez, Raquel Montoiro Allue, Ferran Roche-Campo, Marcos Ibañez-Santacruz, Susana-Temprano, Maria C Pintado, Raul De Pablo, Pilar Ricart Aroa Gómez, Silvia Rodriguez Ruiz, Silvia Iglesias Moles, Mª Teresa Jurado, Alfons Arizmendi, Enrique A Piacentini, Nieves Franco, Teresa Honrubia, Meisy Perez Cheng, Elena Perez Losada, Javier-Blanco, Luis J Yuste, Cecilia Carbayo-Gorriz, Francisca G Cazorla-Barranquero, Javier G 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M., Rigaud, J. -P., Duranteau, J., Harrois, A., Chabanne, R., Marin, J., Bigot, C., Thibault, S., Ghazi, M., Boukhazna, M., Zein, S. O., Richecoeur, J. R., Combaux, D. M., Grelon, F., Le Moal, C., Sauvadet, E. P., Robine, A., Lemiale, V., Reuter, D., Dres, M., Demoule, A., Goldgran-Toledano, D., Baboi, L., Guerin, C., Lohner, R., Krassler, J., Schafer, S., Zacharowski, K. D., Meybohm, P., Reske, A. W., Simon, P., Hopf, H. -B. F., Schuetz, M., Baltus, T., Papanikolaou, M. N., Papavasilopoulou, T. G., Zacharas, G. A., Ourailogloy, V., Mouloudi, E. K., Massa, E. V., Nagy, E. O., Stamou, E. E., Kiourtzieva, E. V., Oikonomou, M. A., Avila, L. E., Cortez, C. A., Citalan, J. E., Jog, S. A., Sable, S. D., Shah, B., Gurjar, M., Baronia, A. K., Memon, M., Muthuchellappan, R., Ramesh, V. J., Shenoy, A., Unnikrishnan, R., Dixit, S. B., Rhayakar, R. V., Ramakrishnan, N., Bhardwaj, V. K., Mahto, H. L., Sagar, S. V., Palaniswamy, V., Ganesan, D., Jamaati, H., Heidari, F., Meaney, E. 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M., Tulaimat, A., Choudry, S., Stigler, W., Batra, H., Huff, N. G., Lamb, K. D., Oetting, T. W., Mohr, N. M., Judy, C., Saito, S., Kheir, F. M., Kheir, F., Schlichting, A. B., Delsing, A., Crouch, D. R., Elmasri, M., Ismail, D., Dreyer, K. R., Blakeman, T. C., Baron, R. M., Grijalba, C. Q., Hou, P. C., Seethala, R., Aisiku, I., Henderson, G., Frendl, G., Hou, S. -K., Owens, R. L., Schomer, A., Bumbasirevic, V., Jovanovic, B., Surbatovic, M., Veljovic, M., UCL - SSS/IREC/MEDA - Pôle de médecine aiguë, UCL - (MGD) Services des soins intensifs, UCL - (SLuc) Service de soins intensifs, Graduate School, Intensive Care Medicine, ACS - Heart failure & arrhythmias, ACS - Diabetes & metabolism, ACS - Pulmonary hypertension & thrombosis, ACS - Microcirculation, Madotto, F, Rezoagli, E, Pham, T, Schmidt, M, Mcnicholas, B, Protti, A, Panwar, R, Bellani, G, Fan, E, Van Haren, F, Brochard, L, Laffey, J, Pesenti, A, Esteban, A, Gattinoni, L, Larsson, A, Mcauley, D, Ranieri, M, Rubenfeld, G, Thompson, B, Wrigge, H, Slutsky, A, Rios, F, Sottiaux, T, Depuydt, P, Lora, F, Azevedo, L, Bugedo, G, Qiu, H, Gonzalez, M, Silesky, J, Cerny, V, Nielsen, J, Jibaja, M, Matamis, D, Ranero, J, Amin, P, Hashemian, S, Clarkson, K, Kurahashi, K, Villagomez, A, Zeggwagh, A, Heunks, L, Laake, J, Palo, J, Do Vale Fernandes, A, Sandesc, D, Arabi, Y, Bumbasierevic, V, Nin, N, Lorente, J, 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Bugedo, Haibo Qiu, Marcos Gonzalez, Juan Silesky, Vladimir Cerny, Jonas Nielsen, Manuel Jibaja, Tài Pham, Dimitrios Matamis, Jorge Luis Ranero, Pravin Amin, S M Hashemian, Kevin Clarkson, Giacomo Bellani, Kiyoyasu Kurahashi, Asisclo Villagomez, Amine Ali Zeggwagh, Leo M Heunks, Jon Henrik Laake, Jose Emmanuel Palo, Antero do Vale Fernandes, Dorel Sandesc, Yaasen Arabi, Vesna Bumbasierevic, Nicolas Nin, Jose A Lorente, Lise Piquilloud, Fekri Abroug, Daniel F McAuley, Lia McNamee, Javier Hurtado, Ed Bajwa, Gabriel Démpaire, Uhc Mother Theresa, Hektor Sula, Lordian Nunci, Alma Cani, Villa Maria, Alan Zazu, Christian Dellera, Carolina S Insaurralde, Risso V Alejandro, Julio Daldin, Mauricio Vinzio, Ruben O Fernandez, Luis P Cardonnet, Lisandro R Bettini, Mariano Carboni Bisso, Emilio M Osman, Mariano G Setten, Pablo Lovazzano, Javier Alvarez, Veronica Villar, Norberto C Pozo, Nicolas Grubissich, Gustavo A Plotnikow, Daniela N Vasquez, Santiago Ilutovich, Norberto Tiribelli, Ariel Chena, Carlos A Pellegrini, María G Saenz, Elisa Estenssoro, Matias Brizuela, Hernan Gianinetto, Pablo E Gomez, Valeria I Cerrato, Marco G Bezzi, Silvina A Borello, Flavia A Loiacono, Adriana M Fernandez, Serena Knowles, Claire Reynolds, Deborah M Inskip, Jennene J Miller, Jing Kong, Christina Whitehead, Shailesh Bihari, Aylin Seven, Amanda Krstevski, Helen J Rodgers, Rebecca T Millar, Toni E Mckenna, Irene M Bailey, Gabrielle C Hanlon, Anders Aneman, Joan M Lynch, Raman Azad, John Neal, Paul W Woods, Brigit L Roberts, Mark R Kol, Helen S Wong, Katharina C Riss, Thomas Staudinger, Xavier Wittebole, Caroline Berghe, Pierre A Bulpa, Alain M Dive, Rik Verstraete, Herve Lebbinck, Pieter Depuydt, Joris Vermassen, Philippe Meersseman, Helga Ceunen, Jonas I Rosa, Daniel O Beraldo, Claudio Piras, Adenilton M Rampinelli, Antonio P Nassar Jr, Sergio Mataloun, Marcelo Moock, Marlus M Thompson, Claudio H Gonçalves, Ana Carolina P Antônio, Aline Ascoli, Rodrigo S Biondi, Danielle C Fontenele, Danielle Nobrega, Vanessa M Sales, Suresh Shindhe, Dk Maizatul Aiman B Pg Hj Ismail, John Laffey, Francois Beloncle, Kyle G Davies, Rob Cirone, Venika Manoharan, Mehvish Ismail, Ewan C Goligher, Mandeep Jassal, Erin Nishikawa, Areej Javeed, Gerard Curley, Nuttapol Rittayamai, Matteo Parotto, Niall D Ferguson, Sangeeta Mehta, Jenny Knoll, Antoine Pronovost, Sergio Canestrini, Alejandro R Bruhn, Patricio H Garcia, Felipe A Aliaga, Pamela A Farías, Jacob S Yumha, Claudia A Ortiz, Javier E Salas, Alejandro A Saez, Luis D Vega, Eduardo F Labarca, Felipe T Martinez, Nicolás G Carreño, Pilar Lora, Haitao Liu, Ling Liu, Rui Tang, Xiaoming Luo, Youzhong An, Huiying Zhao, Yan Gao, Zhe Zhai, Zheng L Ye, Wei Wang, Wenwen Li, Qingdong Li, Ruiqiang Zheng, Wenkui Yu, Juanhong Shen, Xinyu Li, Tao Yu, Weihua Lu, Ya Q Wu, Xiao B Huang, Zhenyang He, Yuanhua Lu, Hui Han, Fan Zhang, Renhua Sun, Hua X Wang, Shu H Qin, Bao H Zhu, Jun Zhao, Jian Liu, Bin Li, Jing L Liu, Fa C Zhou, Qiong J Li, Xing Y Zhang, Zhou Li-Xin, Qiang Xin-Hua, Liangyan Jiang, Yuan N Gao, Xian Y Zhao, Yuan Y Li, Xiao L Li, Chunting Wang, Qingchun Yao, Rongguo Yu, Kai Chen, Huanzhang Shao, Bingyu Qin, Qing Q Huang, Wei H Zhu, Ai Y Hang, Ma X Hua, Yimin Li, Yonghao Xu, Yu D Di, Long L Ling, Tie H Qin, Shou H Wang, Junping Qin, Yi Han, Suming Zhou, Monica P Vargas, Juan I Silesky Jimenez, Manuel A González Rojas, Jaime E Solis-Quesada, Christian M Ramirez-Alfaro, Jan Máca, Peter Sklienka, Jakob Gjedsted, Aage Christiansen, Boris G Villamagua, Miguel Llano, Philippe Burtin, Gautier Buzancais, Pascal Beuret, Nicolas Pelletier, Satar Mortaza, Alain Mercat, Jonathan Chelly, Sébastien Jochmans, Nicolas Terzi, Cédric Daubin, Guillaume Carteaux, Nicolas de Prost, Jean-Daniel Chiche, Fabrice Daviaud, Tai Pham, Muriel Fartoukh, Guillaume Barberet, Jerome Biehler, Jean Dellamonica, Denis Doyen, Jean-Michel Arnal, Anais Briquet, Sami Hraiech, Laurent Papazian, Arnaud Follin, Damien Roux, Jonathan Messika, Evangelos Kalaitzis, Laurence Dangers, Alain Combes, Siu-Ming Au, Gaetan Béduneau, Dorothée Carpentier, Elie H Zogheib, Herve Dupont, Sylvie Ricome, Francesco L Santoli, Sebastien L Besset, Philippe Michel, Bruno Gelée, Pierre-Eric Danin, Bernard Goubaux, Philippe J Crova, Nga T Phan, Frantz Berkelmans, Julio C Badie, Romain Tapponnier, Josette Gally, Samy Khebbeb, Jean-Etienne Herbrecht, Francis Schneider, Pierre-Louis M Declercq, Jean-Philippe Rigaud, Jacques Duranteau, Anatole Harrois, Russell Chabanne, Julien Marin, Charlene Bigot, Sandrine Thibault, Mohammed Ghazi, Messabi Boukhazna, Salem Ould Zein, Jack R Richecoeur, Daniele M Combaux, Fabien Grelon, Charlene Le Moal, Elise P Sauvadet, Adrien Robine, Virginie Lemiale, Danielle Reuter, Martin Dres, Alexandre Demoule, Dany Goldgran-Toledano, Loredana Baboi, Claude Guérin, Ralph Lohner, Jens Kraßler, Susanne Schäfer, Kai D Zacharowski, Patrick Meybohm, Andreas W Reske, Philipp Simon, Hans-Bernd F Hopf, Michael Schuetz, Thomas Baltus, Metaxia N Papanikolaou, Theonymfi G Papavasilopoulou, Giannis A Zacharas, Vasilis Ourailogloy, Eleni K Mouloudi, Eleni V Massa, Eva O Nagy, Electra E Stamou, Ellada V Kiourtzieva, Marina A Oikonomou, Luis E Avila, Cesar A Cortez, Johanna E Citalán, Sameer A Jog, Safal D Sable, Bhagyesh Shah, Mohan Gurjar, Arvind K Baronia, Mohammedfaruk Memon, Radhakrishnan Muthuchellappan, Venkatapura J Ramesh, Anitha Shenoy, Ramesh Unnikrishnan, Subhal B Dixit, Rachana V Rhayakar, Nagarajan Ramakrishnan, Vallish K Bhardwaj, Heera L Mahto, Sudha V Sagar, Vijayanand Palaniswamy, Deeban Ganesan, Seyed Mohammadreza Hashemian, Hamidreza Jamaati, Farshad Heidari, Edel A Meaney, Alistair Nichol, Karl M Knapman, Donall O'Croinin, Eimhin S Dunne, Dorothy M Breen, Kevin P Clarkson, Rola F Jaafar, Rory Dwyer, Fahd Amir, Olaitan O Ajetunmobi, Aogan C O'Muircheartaigh, Colin S Black, Nuala Treanor, Daniel V Collins, Wahid Altaf, Gianluca Zani, Maurizio Fusari, Savino Spadaro, Carlo A Volta, Romano Graziani, Barbara Brunettini, Salvatore Palmese, Paolo Formenti, Michele Umbrello, Andrea Lombardo, Elisabetta Pecci, Marco Botteri, Monica Savioli, Alessandro Protti, Alessia Mattei, Lorenzo Schiavoni, Andrea Tinnirello, Manuel Todeschini, Antonino Giarratano, Andrea Cortegiani, Sara Sher, Anna Rossi, Massimo M Antonelli, Luca M Montini, Paolo Casalena, Sergio Scafetti, Giovanna Panarello, Giovanna Occhipinti, Nicolò Patroniti, Matteo Pozzi, Roberto R Biscione, Michela M Poli, Ferdinando Raimondi, Daniela Albiero, Giulia Crapelli, Eduardo Beck, Vincenzo Pota, Vincenzo Schiavone, Alexandre Molin, Fabio Tarantino, Giacomo Monti, Elena Frati, Lucia Mirabella, Gilda Cinnella, Tommaso Fossali, Riccardo Colombo, Pierpaolo Terragni Ilaria Pattarino, Francesco Mojoli, Antonio Braschi, Erika E Borotto, Andrea N Cracchiolo, Daniela M Palma, Francesco Raponi, Giuseppe Foti, Ettore R Vascotto, Andrea Coppadoro, Luca Brazzi, Leda Floris, Giorgio A Iotti, Aaron Venti, Osamu Yamaguchi, Shunsuke Takagi, Hiroki N Maeyama, Eizo Watanabe, Yoshihiro Yamaji, Kazuyoshi Shimizu, Kyoko Shiozaki, Satoru Futami, Sekine Ryosuke, Koji Saito, Yoshinobu Kameyama, Keiko Ueno, Masayo Izawa, Nao Okuda, Hiroyuki Suzuki, Tomofumi Harasawa, Michitaka Nasu, Tadaaki Takada, Fumihito Ito, Shin-Nunomiya, Kansuke-Koyama, Toshikazu Abe, Kohkichi Andoh, Kohei Kusumoto, Akira Hirata, Akihiro Takaba, Hiroyasu Kimura, Shuhei Matsumoto, Ushio Higashijima, Hiroyuki Honda, Nobumasa Aoki, Hiroshi Imai, Yasuaki Ogino, Ichiko Mizuguchi, Kazuya Ichikado, Kenichi Nitta, Katsunori Mochizuki, Tomoaki Hashida, Hiroyuki Tanaka, Tomoyuki Nakamura, Daisuke Niimi, Takeshi Ueda, Yozo Kashiwa, Akinori Uchiyama, Olegs Sabelnikovs, Peteris Oss, Youssef Haddad, Kong Y Liew, Silvio A Ñamendys-Silva, Yves D Jarquin-Badiola, Luis A Sanchez-Hurtado, Saira S Gomez-Flores, Maria C Marin, Asisclo J Villagomez, Jordana S Lemus, Jonathan M Fierro, Mavy Ramirez Cervantes, Francisco Javier Flores Mejia, Dulce Dector, Dulce M Dector, Daniel R Gonzalez, Claudia R Estrella, Jorge R Sanchez-Medina, Alvaro Ramirez-Gutierrez, Fernando G George, Janet S Aguirre, Juan A Buensuseso, Manuel Poblano, Tarek Dendane, Hicham Balkhi, Mina Elkhayari, Nacer Samkaoui, Hanane Ezzouine, Abdellatif Benslama Mourad Amor, Wajdi Maazouzi, Nedim Cimic, Oliver Beck, Monique M Bruns, Jeroen A Schouten, Myra-Rinia, Monique Raaijmakers, Hellen M Van Wezel, Serge J Heines, Ulrich Strauch, Marc P Buise, Fabienne D Simonis, Marcus J Schultz, Jennifer C Goodson, Troy S Browne, Leanlove Navarra, Anna Hunt, Robyn A Hutchison, Mathew B Bailey, Lynette Newby, Colin Mcarthur, Michael Kalkoff, Alex Mcleod, Jonathan Casement, Danielle J Hacking, Finn H Andersen, Merete S Dolva, Jon H Laake, Andreas Barratt-Due, Kim Andre L Noremark, Eldar Søreide, Brit Å Sjøbø, Anne B Guttormsen, Hector H Leon Yoshido, Ronald Zumaran Aguilar, Fredy A Montes Oscanoa, Alain U Alisasis, Joanne B Robles, Rossini Abbie B Pasanting-Lim, Beatriz C Tan, Pawel Andruszkiewicz, Karina Jakubowska, Cristina M Coxo, António M Alvarez, Bruno S Oliveira, Gustavo M Montanha, Nelson C Barros, Carlos S Pereira, António M Messias, Jorge M Monteiro, Ana M Araujo, Nuno T Catorze, Susan M Marum, Maria J Bouw, Rui M Gomes, Vania A Brito, Silvia Castro, Joana M Estilita, Filipa M Barros, Isabel M Serra, Aurelia M Martinho, Dana R Tomescu, Alexandra Marcu, Ovidiu H Bedreag, Marius Papurica, Dan E Corneci, Silvius Ioan Negoita, Evgeny Grigoriev, Alexey I Gritsan, Andrey A Gazenkampf, Ghaleb Almekhlafi, Mohamad M Albarrak, Ghanem M Mustafa, Khalid A Maghrabi, Nawal Salahuddin, Tharwat M Aisa, Ahmed S Al Jabbary, Edgardo Tabhan, Yaseen M Arabi, Olivia A Trinidad, Hasan M Al Dorzi, Edgardo E Tabhan, Stefan Bolon, Oliver Smith, Jordi Mancebo, Hernan Aguirre-Bermeo, Juan C Lopez-Delgado, Francisco Esteve, Gemma Rialp, Catalina Forteza, Candelaria De Haro, Antonio Artigas, Guillermo M Albaiceta, Sara De Cima-Iglesias, Leticia Seoane-Quiroga, Alexandra Ceniceros-Barros, Antonio L Ruiz-Aguilar, Luis M Claraco-Vega, Juan Alfonso Soler, Maria Del Carmen Lorente, Cecilia Hermosa, Federico Gordo, Miryam-Prieto-González, Juan B López-Messa, Manuel P Perez, Cesar P Perez, Raquel Montoiro Allue, Ferran Roche-Campo, Marcos Ibañez-Santacruz, Susana-Temprano, Maria C Pintado, Raul De Pablo, Pilar Ricart Aroa Gómez, Silvia Rodriguez Ruiz, Silvia Iglesias Moles, Mª Teresa Jurado, Alfons Arizmendi, Enrique A Piacentini, Nieves Franco, Teresa Honrubia, Meisy Perez Cheng, Elena Perez Losada, Javier-Blanco, Luis J Yuste, Cecilia Carbayo-Gorriz, Francisca G Cazorla-Barranquero, Javier G Alonso, Rosa S Alda, Ángela Algaba, Gonzalo Navarro, Enrique Cereijo, Esther Diaz-Rodriguez, Diego Pastor Marcos, Laura Alvarez Montero, Luis Herrera Para, Roberto Jimenez Sanchez, Miguel Angel Blasco Navalpotro, Ricardo Diaz Abad, Raquel Montiel Gonz Á Lez, D Á Cil Parrilla Toribio, Alejandro G Castro, Maria Jose D Artiga, Oscar Penuelas, Tomas P Roser, Moreno F Olga, Elena Gallego Curto, Rocío Manzano Sánchez, Vallverdu P Imma, Garcia M Elisabet, Laura Claverias, Monica Magret, Ana M Pellicer, Lucia L Rodriguez, Jesús Sánchez-Ballesteros, Ángela González-Salamanca, Antonio G Jimenez, Francisco P Huerta, Juan Carlos J Sotillo Diaz, Esther Bermejo Lopez, David D Llinares Moya, Alec A Tallet Alfonso, Palazon Sanchez Eugenio Luis, Palazon Sanchez Cesar, Sánchez I Rafael, Corcoles G Virgilio, Noelia N Recio, Richard O Adamsson, Christian C Rylander, Bernhard Holzgraefe, Lars M Broman, Joanna Wessbergh, Linnea Persson, Fredrik Schiöler, Hans Kedelv, Anna Oscarsson Tibblin, Henrik Appelberg, Lars Hedlund, Johan Helleberg, Karin E Eriksson, Rita Glietsch, Niklas Larsson, Ingela Nygren, Silvia L Nunes, Anna-Karin Morin, Thomas Kander, Anne Adolfsson, Hervé O Zender, Corinne Leemann-Refondini, Souheil Elatrous, Slaheddine Bouchoucha, Imed Chouchene, Islem Ouanes, Asma Ben Souissi, Salma Kamoun, Oktay Demirkiran, Mustafa Aker, Emre Erbabacan, Ilkay Ceylan, Nermin Kelebek Girgin, Menekse Ozcelik, Necmettin Ünal, Basak Ceyda Meco, Onat O Akyol, Suleyman S Derman, Barry Kennedy, Ken Parhar, Latha Srinivasa, Danny McAuley, Phil Hopkins, Clare Mellis, Vivek Kakar, Dan Hadfield, Andre Vercueil, Kaushik Bhowmick, Sally K Humphreys, Andrew Ferguson, Raymond Mckee, Ashok S Raj, Danielle A Fawkes, Philip Watt, Linda Twohey, Rajeev R JhaMatthew Thomas, Alex Morton, Varsha Kadaba, Mark J Smith, Anil P Hormis, Santhana G Kannan, Miriam Namih, Henrik Reschreiter, Julie Camsooksai, Alek Kumar, Szabolcs Rugonfalvi, Christopher Nutt, Orla O'Neill, Colette Seasman, Ged Dempsey, Christopher J Scott, Helen E Ellis, Stuart Mckechnie, Paula J Hutton, Nora N Di Tomasso, Michela N Vitale, Ruth O Griffin, Michael N Dean, Julius H Cranshaw, Emma L Willett, Nicholas Ioannou, Sarah Gillis, Peter Csabi, Rosaleen Macfadyen, Heidi Dawson, Pieter D Preez, Alexandra J Williams, Owen Boyd, Laura Ortiz-Ruiz De Gordoa, Jon Bramall, Sophie Symmonds, Simon K Chau, Tim Wenham, Tamas Szakmany, Piroska Toth-Tarsoly, Katie H McCalman, Peter Alexander, Lorraine Stephenson, Thomas Collyer, Rhiannon Chapman, Raphael Cooper, Russell M Allan, Malcolm Sim, David W Wrathall, Donald A Irvine, Kim S Zantua, John C Adams, Andrew J Burtenshaw, Gareth P Sellors, Ingeborg D Welters, Karen E Williams, Robert J Hessell, Matthew G Oldroyd, Ceri E Battle, Suresh Pillai, Istvan Kajtor, Mageswaran Sivashanmugavel, Sinead C O'Kane, Adrian Donnelly, Aniko D Frigyik, Jon P Careless, Martin M May, Richard Stewart, T John Trinder, Samantha J Hagan, Matt P Wise, Jade M Cole, Caroline C MacFie, Anna T Dowling, Nicolás Nin, Edgardo Nuñez, Gustavo Pittini, Ruben Rodriguez, María C Imperio, Cristina Santos, Ana G França, Alejandro Ebeid, Alberto Deicas, Carolina Serra, Aditya Uppalapati, Ghassan Kamel, Valerie M Banner-Goodspeed, Jeremy R Beitler, Satyanarayana Reddy Mukkera, Shreedhar Kulkarni, Jarone Lee, Tomaz Mesar, John O Shinn 3rd, Dina Gomaa, Christopher Tainter, Dale J Yeatts, Jessica Warren, Michael J Lanspa, Russel R Miller, Colin K Grissom, Madotto F, Rezoagli E, Pham T, Schmidt M, McNicholas B, Protti A, Panwar R, Bellani G, Fan E, van Haren F, Brochard L, Laffey JG, and LUNG SAFE Investigators and the ESICM Trials Group, Samuel M Brown, Philippe R Bauer, Ryan J Gosselin, Barrett T Kitch, Jason E Cohen, Scott H Beegle, Renaud M Gueret, Aiman Tulaimat, Shazia Choudry, William Stigler, Hitesh Batra, Nidhi G Huff, Keith D Lamb, Trevor W Oetting, Nicholas M Mohr, Claine Judy, Shigeki Saito, Fayez M Kheir, Fayez Kheir, Adam B Schlichting, Angela Delsing, Daniel R Crouch, Mary Elmasri, Dina Ismail, Kyle R Dreyer, Thomas C Blakeman, Rebecca M Baron, Carolina Quintana Grijalba, Peter C Hou, Raghu Seethala, Imo Aisiku, Galen Henderson, Gyorgy Frendl, Sen-Kuang Hou, Robert L Owens, Ashley Schomer, Vesna Bumbasirevic, Bojan Jovanovic, Maja Surbatovic, Milic Veljovic
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ARDS ,medicine.medical_treatment ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,Hyperoxemia ,Hypoxemia ,law.invention ,0302 clinical medicine ,law ,Fraction of inspired oxygen ,Oxygen therapy ,Prevalence ,Medicine ,Hypoxia ,Acute respiratory distress syndrome ,Hyperoxia ,Invasive mechanical ventilation ,Mortality ,Respiratory Distress Syndrome ,Hyperbaric Oxygenation ,Respiration ,lcsh:Medical emergencies. Critical care. Intensive care. First aid ,Intensive care unit ,Intensive Care Units ,Anesthesia ,Artificial ,medicine.symptom ,Human ,Artificial ventilation ,Intensive Care Unit ,NO ,03 medical and health sciences ,Intensive care ,Settore MED/41 - ANESTESIOLOGIA ,Humans ,business.industry ,Research ,Respiratory Distress Syndrome, Adult ,lcsh:RC86-88.9 ,medicine.disease ,Respiration, Artificial ,respiratory tract diseases ,Oxygen ,lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4] ,030228 respiratory system ,business - Abstract
Background Concerns exist regarding the prevalence and impact of unnecessary oxygen use in patients with acute respiratory distress syndrome (ARDS). We examined this issue in patients with ARDS enrolled in the Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE (LUNG SAFE) study. Methods In this secondary analysis of the LUNG SAFE study, we wished to determine the prevalence and the outcomes associated with hyperoxemia on day 1, sustained hyperoxemia, and excessive oxygen use in patients with early ARDS. Patients who fulfilled criteria of ARDS on day 1 and day 2 of acute hypoxemic respiratory failure were categorized based on the presence of hyperoxemia (PaO2 > 100 mmHg) on day 1, sustained (i.e., present on day 1 and day 2) hyperoxemia, or excessive oxygen use (FIO2 ≥ 0.60 during hyperoxemia). Results Of 2005 patients that met the inclusion criteria, 131 (6.5%) were hypoxemic (PaO2 2 use occurred in 400 (66%) out of 607 patients with hyperoxemia. Excess FIO2 use decreased from day 1 to day 2 of ARDS, with most hyperoxemic patients on day 2 receiving relatively low FIO2. Multivariate analyses found no independent relationship between day 1 hyperoxemia, sustained hyperoxemia, or excess FIO2 use and adverse clinical outcomes. Mortality was 42% in patients with excess FIO2 use, compared to 39% in a propensity-matched sample of normoxemic (PaO2 55–100 mmHg) patients (P = 0.47). Conclusions Hyperoxemia and excess oxygen use are both prevalent in early ARDS but are most often non-sustained. No relationship was found between hyperoxemia or excessive oxygen use and patient outcome in this cohort. Trial registration LUNG-SAFE is registered with ClinicalTrials.gov, NCT02010073
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- 2020
43. Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support
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Rui Tang, Zhu Zhaowei, Xingzhi Sun, Guotong Xie, Yao Haishen, Yichong Li, and Gang Hu
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Decision support system ,Process (engineering) ,Computer science ,business.industry ,Machine learning ,computer.software_genre ,Data modeling ,Task (project management) ,Diagnosis code ,Artificial intelligence ,Medical diagnosis ,business ,Representation (mathematics) ,computer ,Encoder - Abstract
Accurate diagnosis plays an important role in the clinical decision-making process. To reduce diagnostic errors, many researchers develop models to assist physicians in predicting the most probable diagnoses during a patient’s visit. In this paper, we focus on the development of the models for clinical diagnostic decision support using a real-world Electronic Health Record (EHR) dataset with 592,715 patient-visits. We propose a novel diagnosis prediction framework, which is based on Bidirectional Encoder Representations from Transformers (BERT), for the disease classification based on textual clinical notes and age information from EHR data, which differs from the previously proposed models by the way of the construction of the input representation by four special embeddings and the composition of the classification layer. We conduct the experiments on the task of multi-class classification for 1,987 diagnosis codes. The experimental results demonstrate the improved performance of our models compared to the baselines trained by the advanced text classification methods. We also investigate the influence of different types of clinical text and age information on the model performance.
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- 2021
44. Joint Mode Selection And Power Allocation for NOMA Systems With D2D Communication
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Ruizhi Zhang, Yu Long, Yihong Zhao, Yuanman Xia, Rui Tang, and Jinpu He
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Scheme (programming language) ,Mathematical optimization ,Artificial neural network ,business.industry ,Computer science ,Deep learning ,Reuse ,Interference (wave propagation) ,Power (physics) ,Reinforcement learning ,Wireless ,Artificial intelligence ,business ,computer ,computer.programming_language - Abstract
In this paper, we study the integration of device-to-device communication into a non-orthogonal multiple access system. To deal with the complex co-channel interference resulting from the dense spectral reuse, we aim to maximize the sum proportional bit rate by jointly optimizing mode selection (MS) and power allocation (PA). Considering the high complexity of the original problem and the dynamics of the wireless environment, we propose an online mechanism with a double-layer structure by efficiently combining machine learning with optimization theory. In particular, when the MS scheme is given, the remaining nonconvex PA problem can be equivalently transformed into a convex one under certain manipulations. Based on the above optimum, a deep reinforcement learning-based online mechanism is designed and it constantly refines the output MS scheme generated from a deep neural network by utilizing the recent historical experiences via reinforcement learning. Finally, simulations are conducted to validate the superiority of the proposed mechanism in balancing the fundamental tradeoff between performance and online computational time.
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- 2021
45. Power Allocation for NOMA-Based Two-Way Full-Duplex Relaying Systems
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Jinpu He, Huizhi Zhang, Yihong Zhao, Ruizhi Zhang, Rui Tang, and Jiaji Tang
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Mathematical optimization ,Artificial neural network ,Channel state information ,Computer science ,business.industry ,Deep learning ,Feasible region ,Benchmark (computing) ,Artificial intelligence ,Spectral efficiency ,business ,Time complexity ,5G - Abstract
In this paper, the design of power allocation is studied to maximize the spectral efficiency of a non-orthogonal multiple access-based two-way full-duplex relaying system. Due to the non-convexity of the original problem, a polyblock outer approximation (POA)-based offline mechanism is first proposed to approach the global optimum in polynomial time. To fulfill the low-latency requirement in 5G and beyond, a deep neural network (DNN)-based online mechanism is then proposed to directly build up the mapping from the channel state information to the power allocation policy by using the solutions of the POA-based offline mechanism. In case the output power allocation of the trained DNN is infeasible, orthogonal projection onto the feasible region is further invoked. Based on the simulation results, we show that the POA-based mechanism outperforms the popular successive convex approximation-based benchmark, and the DNN-based mechanism substantially cuts down the online computational time at the cost of only minor performance loss when compared with the POA-based mechanism.
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- 2021
46. Deep Graph Cluster Based Unsupervised Representation Learning for PolSAR Image Classification
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Rui Yang, Xin Xu, Rui Tang, and Rong Gui
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Contextual image classification ,business.industry ,Computer science ,Nearest neighbor search ,Pattern recognition ,ComputingMethodologies_PATTERNRECOGNITION ,Graph (abstract data type) ,Unsupervised learning ,Artificial intelligence ,Graphical model ,Cluster analysis ,business ,Feature learning ,Spatial analysis - Abstract
Accurate labeled samples for polarimetric synthetic aperture radar (PolSAR) images are usually difficult to obtain. So unsupervised learning is meaningful for PolSAR land cover classification tasks. In this paper, we proposed an unsupervised spontaneous clustering network named deep graph cluster. Spatial information and polarimetric coherency matrix are combined to represent and cluster the data. Firstly, an accurate and efficient clustering algorithm based on approximate nearest neighbor search is proposed. Then, we proposed the deep graph cluster based on spatial aggregation propensity of the same class and spatial dispersion of different classes. Two groups of experiments on PolSAR images shows that the accuracy of proposed method reaches 90-96%, 7-12% higher than classical unsupervised method and close to the some supervised models.
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- 2021
47. Comparison of Two Types of Staged Laparoscopic Orchiopexy for High Intra-Abdominal Testes in Children: A Retrospective Study From a Single Center
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Jin Chen, Xudong Xu, Guangqi Duan, Xiao Wang, Qinghua Zhu, Zhiyuan Jin, Honglong Ma, Rui Tang, Bangzhi Sui, and Jie Liu
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medicine.medical_specialty ,medicine.medical_treatment ,laparoscopy ,orchiopexy ,Single Center ,Pediatrics ,RJ1-570 ,03 medical and health sciences ,0302 clinical medicine ,traction ,children ,030225 pediatrics ,Pediatric surgery ,medicine ,Orchiopexy ,Laparoscopy ,Survival rate ,Original Research ,intra-abdominal testis ,medicine.diagnostic_test ,Testicular atrophy ,business.industry ,Medical record ,Retrospective cohort study ,medicine.disease ,Surgery ,030220 oncology & carcinogenesis ,Pediatrics, Perinatology and Child Health ,business - Abstract
Background: To evaluate the efficacy and safety of 2nd-stage laparoscopic traction orchiopexy (Shehata technique) compared to Fowler-Stephens (F-S technique) for high intra-abdominal testes (IATs) in children.Patients and Methods: We performed a retrospective review of all children (Results: In this study, 43 patients in our center received 2nd-stage laparoscopic surgical treatment. The results showed that there were 23 high IATs in 22 patients in the F-S group and 22 IATs in 21 patients in the Shehata group. All patients completed the operation successfully. No significant difference in operation time was noted between the two groups. There was no significant difference in the testicular atrophy rate between the two groups (P = 0.323). The testicular retraction rate of the F-S group was greater than that of the Shehata group (P = 0.04).Conclusion:The results of this study indicate that the application of assisted laparoscopic testicular traction technology can effectively retain the main blood supply of the testis and vas deferens with a high survival rate and clear advantages. The preliminary results show that the Shehata technique is safe, reliable and effective in the treatment of high IAT in children.
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- 2021
48. Research on vibration performance of the nonlinear combined support-flexible rotor system
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Rui Tang, Jinwen Wang, Deyou Wang, and Zhong Luo
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Physics ,Rotor (electric) ,business.industry ,Squirrel-cage rotor ,Applied Mathematics ,Mechanical Engineering ,Aerospace Engineering ,Ocean Engineering ,Structural engineering ,01 natural sciences ,Finite element method ,law.invention ,Damper ,Contact force ,Vibration ,Nonlinear system ,Control and Systems Engineering ,law ,0103 physical sciences ,Electrical and Electronic Engineering ,Helicopter rotor ,business ,010301 acoustics - Abstract
A finite element model of the cantilever combined support rotor included two discs established in this paper to predict and explain the nonlinear vibration phenomenon. The model considered local nonlinear support force generated by the combined support and the coupling effects of the rotor with the combined support. The nonlinear factors contained the clearance, the Hertz contact force and the vibration of the rolling bearing and the nonlinear force of the squeeze film damper. The combined support included bearing, squeeze film damper and squirrel cage elastic support. Finally, the high-dimensional partial differential equations with local nonlinearity were derived and solved by Newmark- $$\upbeta $$ combined with Runge–Kutta method. Based on the above theoretical results, the bifurcation phenomenon of vibration response at different positions was analysed and the dynamic response of the rotor system at different positions due to the rotational speed was compared.
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- 2019
49. Development of grid-responsive buildings: Opportunities, challenges, capabilities and applications of HVAC systems in non-residential buildings in providing ancillary services by fast demand responses to smart grids
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Shengwei Wang, Rui Tang, and Huilong Wang
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Architectural engineering ,business.industry ,Computer science ,020209 energy ,Mechanical Engineering ,02 engineering and technology ,Building and Construction ,Management, Monitoring, Policy and Law ,Grid ,Investment (macroeconomics) ,Renewable energy ,General Energy ,Smart grid ,020401 chemical engineering ,Power Balance ,Frequency regulation ,HVAC ,0202 electrical engineering, electronic engineering, information engineering ,Electricity ,0204 chemical engineering ,business - Abstract
Renewable electricity generations have been growing rapidly in recent years worldwide as a result of efforts to address the global energy issue. However, it has also imposed increasing challenges on the balance of power grids due to their intermittent nature. Building sector, as the largest consumer, is expected increasingly to play an important role in providing ancillary services (AS) to relieve stress and reduce the needs of investment for power balance of the smart grids. Grid-responsive building therefore becomes a worthwhile and essential feature of buildings today and in the future. This paper provides an overview of the classification, benefits, applications as well as methods/technologies for HVAC systems in non-residential buildings to provide ancillary services, as fast responses (i.e., in the magnitude of seconds or minutes) to the needs of smart grids. In addition, the challenges of applications and potential solutions are investigated and summarized. The potential capacities of HVAC systems in the entire non-residential building sector in Hong Kong for providing frequency regulation (FR) and spinning reserve are also quantified.
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- 2019
50. Multi-axial test and failure criterion analysis on self-compacting lightweight aggregate concrete
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Rui Tang, Qiao Huang, Xinghua Xie, Zhenpeng Yu, Feiting Shi, and Peng Cao
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Materials science ,Aggregate (composite) ,business.industry ,Stress space ,0211 other engineering and technologies ,Uniaxial compression ,020101 civil engineering ,Failure mechanism ,02 engineering and technology ,Building and Construction ,Structural engineering ,Triaxial shear test ,Experimental research ,0201 civil engineering ,Stress (mechanics) ,021105 building & construction ,General Materials Science ,Multi axial ,business ,Civil and Structural Engineering - Abstract
In order to study the mechanical properties of self-compacting lightweight aggregate concrete under complex stress, experimental research on multi-axial stress behavior of self-compacting lightweight aggregate concrete were conducted by using a large general triaxial test machine. Through multi-axial tests, failure morphology and stress-strain curves of self-compacting lightweight aggregate concrete under different lateral stresses were obtained. By extracting the stress-strain curve eigenvalues (peak stress and peak strain) and analyzing the failure morphology, and citing the relevant literature to compare and analyze the conclusions of multi-axial research on ordinary concrete and lightweight aggregate concrete, the multi-axial stress characteristics and failure mechanism of self-compacting lightweight aggregate concrete were studied. The results show that when the uniaxial compression and lateral stress values of self-compacting lightweight aggregate concrete are small, the biaxial compression-pressure failure morphology mainly exhibits the shear failure morphology, which is different from that of ordinary concrete and lightweight aggregate concrete. At the same time, the influence of lateral stress on self-compacting lightweight aggregate concrete is obviously stronger than that of ordinary concrete and lightweight aggregate concrete. The failure criterion of self-compacting lightweight aggregate concrete based on Kupfer biaxial failure criterion and octahedral stress space has certain applicability. The content studied in this paper has theoretical significance for the engineering application development of self-compacting lightweight aggregate concrete.
- Published
- 2019
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