3,320 results on '"Minh Le"'
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2. First report on population status and potential distribution of Tylototriton sparreboomi Bernardes, Le, Nguyen, Pham, Pham, Nguyen, Rödder, Bonkowski & Ziegler, 2020 (Amphibia, Salamandridae) in Vietnam
- Author
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Anh Pham, Minh Le, Truong Nguyen, Mai Le, Cuong Pham, and Anh Nguyen
- Subjects
conservation ,MaxEnt ,new record ,Sin Ho District ,Biology (General) ,QH301-705.5 - Abstract
The Sparreboom's Crocodile Newt (Tylototriton sparreboomi) is a recently discovered species of crocodile newts from Vietnam and it is currently known only from Sin Ho District in Lai Chau Province. Due to the limited information available on its population status and distribution, the species has been classified as Data Deficient in the IUCN Red List. As a result of our field surveys in 2021 and 2022 in north-western Vietnam, novel data on distribution and population status of and threats to this poorly-known species were collected. We combined the newly-discovered locations with previous occurrence records and used the data as input for modelling the potential distribution of the Sparreboom's Crocodile Newt. The results showed that the Sparreboom's Crocodile Newt’s potential distribution encompasses areas in Lai Chau, Dien Bien and Son La Provinces, Vietnam, as well as a section in Jinping County, Yunnan Province, China. Based on the findings, we suggest that protected areas in the eastern side of Hoang Lien Mountain Range, such as Che Tao, Muong La, Hoang Lien – Van Ban and Bat Xat Nature Reserves and Hoang Lien National Park in Vietnam and Jinping Feishuling Nature Reserve in China be priority sites for the species conservation. Future research and conservation initiatives should prioritise efforts in such areas in an effort to find and protect new populations of the newt.
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- 2024
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3. The effect of combining primers and cements from different cement systems on the bond strength between zirconia and dentin
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Minh Le, Evaggelia Papia, and Christel Larsson
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Dentistry ,RK1-715 - Abstract
Abstract Objective The aim of this study was to evaluate the influence of combining primers and cements from two different resin cement systems on the microtensile bond strength (μTBS) between zirconia and human dentin. Materials and methods A total of 120 specimens of zirconia cemented to dentin were allocated into eight groups based on cement type (RelyX Ultimate or Panavia V5) and primers (Tooth Primer, Clearfil Ceramic Primer and Scotchbond Universal Adhesive) combinations, applied to dentin or ceramic surfaces. Following artificial aging with 5000 thermocycles, μTBS tests were conducted. Statistical analysis was performed using One-way ANOVA and Tukey’s post hoc tests (p ≤ 0.05), and failure modes were assessed. Results The Panavia V5 cement system demonstrated the highest bond strength (19.4 ± 4.4 MPa), significantly higher than the other groups except when RelyX cement was used with Panavia primers (16.9 ± 3.7 MPa). Cohesive fractures within the cement layer were the predominant failure mode. Conclusions The combination of primers from different adhesive cement system brands may significantly affect the bonding effectiveness. Therefore, using products from a single product line of the same adhesive cement system, and following the manufacturer’s recommendations for indications and use, is crucial for a more predictable clinical outcome.
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- 2024
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4. First record of a mixed species association between Hatinh langur (Trachypithecus hatinhensis) and red‐shanked douc (Pygathrix nemaeus)
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Anh Tuan Nguyen, Minh Le, and Andrew Tilker
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annamites ,camera trap ,primates ,Quang Binh Province ,Quang Ninh Protection Forest ,Ecology ,QH540-549.5 - Abstract
Abstract In primates, mixed species associations are not common occurrences, and have been linked to both ecological and anthropogenic factors. We present camera‐trapping records of a mixed association between two primates, the Hatinh langur (Trachypithecus hatinhensis) and red‐shanked douc (Pygathrix nemaeus) and discuss possible hypotheses for this occurrence. To our knowledge, this is the first evidence of such an association in the wild of these two threatened primates, and thus contributes to our limited ecological knowledge of the species.
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- 2024
- Full Text
- View/download PDF
5. Lack of association between classical HLA genes and asymptomatic SARS-CoV-2 infection
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Astrid Marchal, Elizabeth T. Cirulli, Iva Neveux, Evangelos Bellos, Ryan S. Thwaites, Kelly M. Schiabor Barrett, Yu Zhang, Ivana Nemes-Bokun, Mariya Kalinova, Andrew Catchpole, Stuart G. Tangye, András N. Spaan, Justin B. Lack, Jade Ghosn, Charles Burdet, Guy Gorochov, Florence Tubach, Pierre Hausfater, Clifton L. Dalgard, Shen-Ying Zhang, Qian Zhang, Christopher Chiu, Jacques Fellay, Joseph J. Grzymski, Vanessa Sancho-Shimizu, Laurent Abel, Jean-Laurent Casanova, Aurélie Cobat, Alexandre Bolze, Alessandro Aiuti, Saleh Al-Muhsen, Fahd Al-Mulla, Ali Amara, Mark S. Anderson, Evangelos Andreakos, Andrés A. Arias, Lisa M. Arkin, Hagit Baris Feldman, Paul Bastard, Alexandre Belot, Catherine M. Biggs, Dusan Bogunovic, Anastasiia Bondarenko, Alessandro Borghesi, Ahmed A. Bousfiha, Petter Brodin, Yenan Bryceson, Manish J. Butte, Giorgio Casari, John Christodoulou, Roger Colobran, Antonio Condino-Neto, Stefan N. Constantinescu, Megan A. Cooper, Murkesh Desai, Beth A. Drolet, Xavier Duval, Jamila El Baghdadi, Philippine Eloy, Sara Espinosa-Padilla, Carlos Flores, José Luis Franco, Antoine Froidure, Peter K. Gregersen, Bodo Grimbacher, Filomeen Haerynck, David Hagin, Rabih Halwani, Lennart Hammarström, James R. Heath, Elena W.Y. Hsieh, Eystein Husebye, Kohsuke Imai, Yuval Itan, Emmanuelle Jouanguy, Elżbieta Kaja, Timokratis Karamitros, Kai Kisand, Cheng-Lung Ku, Yu-Lung Lau, Yun Ling, Carrie L. Lucas, Tom Maniatis, Davood Mansouri, László Maródi, France Mentré, Isabelle Meyts, Joshua D. Milner, Kristina Mironska, Trine H. Mogensen, Tomohiro Morio, Lisa F.P. Ng, Luigi D. Notarangelo, Antonio Novelli, Giuseppe Novelli, Cliona O'Farrelly, Satoshi Okada, Keisuke Okamoto, Tayfun Ozcelik, Qiang Pan-Hammarström, Jean W. Pape, Rebeca Perez de Diego, Jordi Perez-Tur, David S. Perlin, Graziano Pesole, Anna M. Planas, Carolina Prando, Aurora Pujol, Anne Puel, Lluis Quintana-Murci, Sathishkumar Ramaswamy, Laurent Renia, Igor Resnick, Carlos Rodríguez-Gallego, Anna Sediva, Mikko R.J. Seppänen, Mohammad Shahrooei, Anna Shcherbina, Ondrej Slaby, Andrew L. Snow, Pere Soler-Palacín, Vassili Soumelis, Ivan Tancevski, Ahmad Abou Tayoun, Şehime Gülsün Temel, Christian Thorball, Pierre Tiberghien, Sophie Trouillet-Assant, Stuart E. Turvey, K. M. Furkan Uddin, Mohammed J. Uddin, Diederik van de Beek, Donald C. Vinh, Horst von Bernuth, Joost Wauters, Mayana Zatz, Pawel Zawadzki, Serge Bureau, Yannick Vacher, Anne Gysembergh-Houal, Lauren Demerville, Abla Benleulmi-Chaachoua, Sebastien Abad, Radhiya Abassi, Abdelrafie Abdellaoui, Abdelkrim Abdelmalek, Hendy Abdoul, Helene Abergel, Fariza Abeud, Sophie Abgrall, Noemie Abisror, Marylise Adechian, Nordine Aderdour, Hakeem Farid Admane, Frederic Adnet, Sara Afritt, Helene Agostini, Claire Aguilar, Sophie Agut, Tommaso Francesco Aiello, Marc Ait Kaci, Hafid Ait Oufella, Gokula Ajeenthiravasan, Virginie Alauzy, Fanny Alby-Laurent, Lucie Allard, Marie-Alexandra Alyanakian, Blanca Amador Borrero, Sabrina Amam, Lucile Amrouche, Marc Andronikof, Dany Anglicheau, Nadia Anguel, Djillali Annane, Mohammed Aounzou, Caroline Aparicio, Gladys Aratus, Jean-Benoit Arlet, Jeremy Arzoine, Elisabeth Aslangul, Mona Assefi, Adeline Aubry, Laetitia Audiffred, Etienne Audureau, Christelle Nathalie Auger, Jean-Charles Auregan, Celine Awotar, Sonia Ayllon Milla, Delphine Azan, Laurene Azemar, Billal Azzouguen, Marwa Bachir Elrufaai, Aïda Badsi, Prissile Bakouboula, Coline Balcerowiak, Fanta Balde, Elodie Baldivia, Eliane-Flore Bangamingo, Amandine Baptiste, Fanny Baran-Marszak, Caroline Barau, Nathalie Barget, Flore Baronnet, Romain Barthelemy, Jean-Luc Baudel, Camille Baudry, Elodie Baudry, Laurent Beaugerie, Adel Belamri, Nicolas Belaube, Rhida Belilita, Pierre Bellassen, Rawan Belmokhtar, Isabel Beltran, Ruben Benainous, Mourad Benallaoua, Robert Benamouzig, Amélie Benbara, Jaouad Benhida, Anis Benkhelouf, Jihene Benlagha, Chahinez Benmostafa, Skander Benothmane, Miassa Bentifraouine, Laurence Berard, Quentin Bernier, Enora Berti, Astrid Bertier, Laure Berton, Simon Bessis, Alexandra Beurton, Celine Bianco, Clara Bianquis, Frank Bidar, Philippe Blanche, Clarisse Blayau, Alexandre Bleibtreu, Emmanuelle Blin, Coralie Bloch-Queyrat, Marie-Christophe Boissier, Diane Bollens, Marion Bolzoni, Rudy pierre Bompard, Nicolas Bonnet, Justine Bonnouvrier, Shirmonecrystal Botha, Wissam Boucenna, Fatiha Bouchama, Olivier Bouchaud, Hanane Bouchghoul, Taoueslylia Boudjebla, Noel Boudjema, Catherine Bouffard, Adrien Bougle, Meriem Bouguerra, Leila Bouras, Agnes Bourcier, Anne Bourgarit Durand, Anne Bourrier, Fabrice Bouscarat, Diane Bouvry, Nesrine Bouziri, Ons Bouzrara, Sarah Bribier, Delphine Brugier, Melanie Brunel, Eida Bui, Anne Buisson, Iryna Bukreyeva, Côme Bureau, Jacques Cadranel, Johann Cailhol, Ruxandra Calin, Clara Campos Vega, Pauline Canavaggio, Marta Cancella, Delphine Cantin, Albert Cao, Lionel Carbillon, Nicolas Carlier, Clementine Cassard, Guylaine Castor, Marion Cauchy, Olivier Cha, Benjamin Chaigne, Salima Challal, Karine Champion, Patrick Chariot, Julie Chas, Simon Chauveau, Anthony Chauvin, Clement Chauvin, Nathalie Chavarot, Kamélia Chebbout, Mustapha Cherai, Ilaria Cherubini, Amelie Chevalier, Thibault Chiarabini, Thierry Chinet, Richard Chocron, Pascaline Choinier, Juliette Chommeloux, Christophe Choquet, Laure Choupeaux, Benjamin Chousterman, Dragosmarius Ciocan, Ada Clarke, Gaëlle Clavere, Florian Clavier, Karine Clement, Sebastien Clerc, Yves Cohen, Fleur Cohen, Adrien Cohen, Audrey Coilly, Hester Colboc, Pauline Colin, Magalie Collet, Chloé Comarmond, Emeline Combacon, Alain Combes, Celine Comparon, Jean-Michel Constantin, Hugues Cordel, Anne-Gael Cordier, Adrien Costantini, Nathalie Costedoat Chalumeau, Camille Couffignal, Doriane Coupeau, Alain Creange, Yannie Cuvillier Lamarre, Charlène Da Silveira, Sandrine Dautheville Guibal El Kayani, Nathalie De Castro, Yann De Rycke, Lucie Del Pozo, Quentin Delannoy, Mathieu Delay, Robin Deleris, Juliette Delforge, Laëtitia Delphine, Noemie Demare, Sophie Demeret, Alexandre Demoule, Aurore Deniau, François Depret, Sophie Derolez, Ouda Derradji, Nawal Derridj, Vincent Descamps, Lydia Deschamps, Celine Desconclois, Cyrielle Desnos, Karine Desongins, Robin Dhote, Benjamin Diallo, Morgane Didier, Myriam Diemer, Stephane Diez, Juliette Djadi-Prat, Fatima-Zohra Djamouri Monnory, Siham Djebara, Naoual Djebra, Minette Djietcheu, Hadjer Djillali, Nouara Djouadi, Severine Donneger, Catarina Dos Santos, Nathalie Dournon, Martin Dres, Laura Droctove, Marie Drogrey, Margot Dropy, Elodie Drouet, Valérie Dubosq, Evelyne Dubreucq, Estelle Dubus, Boris Duchemann, Thibault Duchenoy, Emmanuel Dudoignon, Romain Dufau, Florence Dumas, Clara Duran, Emmanuelle Duron, Antoine Durrbach, Claudine Duvivier, Nathan Ebstein, Jihane El Khalifa, Alexandre Elabbadi, Caroline Elie, Gabriel Ernotte, Anne Esling, Martin Etienne, Xavier Eyer, Muriel Sarah Fartoukh, Takoua Fayali, Marion Fermaut, Arianna Fiorentino, Souha Fliss, Marie-Céline Fournier, Benjamin Fournier, Hélène Francois, Olivia Freynet, Yvann Frigout, Isaure Fromont, Axelle Fuentes, Thomas Furet, Joris Galand, Marc Garnier, Agnes Gaubert, Stéphane Gaudry, Samuel Gaugain, Damien Gauthier, Maxime Gautier, Sophie Georgin-Lavialle, Daniela Geromin, Mohamed Ghalayini, Bijan Ghaleh, Myriam Ghezal, Aude Gibelin, Linda Gimeno, Benoit Girard, Bénédicte Giroux Leprieur, Doryan Gomes, Elisabete Gomes-Pires, Anne Gouge, Amel Gouja, Helene Goulet, Sylvain Goupil, Jeanne Goupil De Bouille, Julien Gras, Segolene Greffe, Lamiae Grimaldi, Paul Guedeney, Bertrand Guidet, Matthias Guillo, Mariechristelle Gulczynski, Tassadit Hadjam, Didier Haguenauer, Soumeya Hammal, Nadjib Hammoudi, Olivier Hanon, Anarole Harrois, Coraline Hautem, Guillaume Hekimian, Nicholas Heming, Olivier Hermine, Sylvie Ho, Marie Houllier, Benjamin Huot, Tessa Huscenot, Wafa Ibn Saied, Ghilas Ikherbane, Meriem Imarazene, Patrick Ingiliz, Lina Iratni, Stephane Jaureguiberry, Jean-Francois Jean-Marc, Deleena Jeyarajasingham, Pauline Jouany, Veronique Jouis, Clement Jourdaine, Ouifiya Kafif, Rim Kallala, Sandrine Katsahian, Lilit Kelesyan, Vixra Keo, Flora Ketz, Warda Khamis, Enfel Khelili, Mehdi Khellaf, Christy Gaëlla Kotokpo Youkou, Ilias Kounis, Gaelle Kpalma, Jessica Krause, Vincent Labbe, Karine Lacombe, Jean-Marc Lacorte, Anne Gaelle Lafont, Emmanuel Lafont, Lynda Lagha, Lionel Lamhaut, Aymeric Lancelot, Cecilia Landman, Fanny Lanternier, Cecile Larcheveque, Caroline Lascoux Combe, Ludovic Lassel, Benjamin Laverdant, Christophe Lavergne, Jean-Rémi Lavillegrand, Pompilia Lazureanu, Loïc Le Guennec, Lamia Leberre, Claire Leblanc, Marion Leboyer, Francois Lecomte, Marine Lecorre, Romain Leenhardt, Marylou Lefebvre, Bénédicte Lefebvre, Paul Legendre, Anne Leger, Laurence Legros, Justyna Legrosse, Sébastien Lehuunghia, Julien Lemarec, Jeremie Leporrier-Ext, Manon Lesein, Hubert Lesur, Vincent Levy, Albert Levy, Edwige Lopes, Amanda Lopes, Vanessa Lopez, Julien Lopinto, Olivier Lortholary, Badr Louadah, Bénédicte Loze, Marie-Laure Lucas, Axelle Lucasamichi, Liem Binh Luong, Arouna Magazimama-Ext, David Maingret, Lakhdar Mameri, Philippe Manivet, Cylia Mansouri, Estelle Marcault, Jonathan Marey, Nathalie Marin, Clémence Marois, Olivier Martin, Lou Martineau, Cannelle Martinez-Lopez, Pierre Martyniuck, Pauline Mary De Farcy, Nessrine Marzouk, Rafik Masmoudi, Alexandre Mebazaa, Frédéric Mechai, Fabio Mecozzi, Chamseddine Mediouni, Bruno Megarbane, Mohamed Meghadecha, Élodie Mejean, Arsene Mekinian, Nour Mekki Abdelhadi, Rania Mekni, Thinhinan Sabrina Meliti, Breno Melo Lima, Paris Meng, Soraya Merbah, Fadhila Messani, Yasmine Messaoudi, Baboo-Irwinsingh Mewasing, Lydia Meziane, Carole Michelot-Burger, Françoise Mignot, Fadi Hillary Minka, Makoto Miyara, Pierre Moine, Jean-Michel Molina, Anaïs Montegnies-Boulet, Alexandra Monti, Claire Montlahuc, Anne-Lise Montout, Alexandre Moores, Caroline Morbieu, Helene Mortelette, Stéphane Mouly, Rosita Muzaffar, Cherifa Iness Nacerddine, Marine Nadal, Hajer Nadif, Kladoum Nassarmadji, Pierre Natella, Sandrine Ndingamondze, Stefan Neraal, Caroline Nguyen, Bao N'Guyen, Isabelle Nion Larmurier, Luc Nlomenyengue, Nicolas Noel, Hilario Nunes, Edris Omar, Zineb Ouazene, Elise Ouedraogo, Wassila Ouelaa, Anissa Oukhedouma, Yasmina Ould Amara, Herve Oya, Johanna Oziel, Thomas Padilla, Elena Paillaud, Solenne Paiva, Beatrice Parfait, Perrine Parize, Christophe Parizot, Antoine Parrot, Arthur Pavot, Laetitia Peaudecerf, Frédéric Pene, Marion Pepin, Julie Pernet, Claire Pernin, Mylène Petit, Olivier Peyrony, Marie-Pierre Pietri, Olivia Pietri, Marc Pineton De Chambrun, Michelle Pinson, Claire Pintado, Valentine Piquard, Christine Pires, Benjamin Planquette, Sandrine Poirier, Anne-Laure Pomel, Stéphanie Pons, Diane Ponscarme, Annegaelle Pourcelot, Valérie Pourcher, Anne Pouvaret, Florian Prever, Miresta Previlon, Margot Prevost, Marie-Julie Provoost, Cyril Quemeneur, Cédric Rafat, Agathe Rami, Brigitte Ranque, Maurice Raphael, Jean Herle Raphalen, Anna Rastoin, Mathieu Raux, Amani Rebai, Michael Reby, Alexis Regent, Asma Regrag, Matthieu Resche-Rigon, Quentin Ressaire, Christian Richard, Mariecaroline Richard, Maxence Robert, Benjamin Rohaut, Camille Rolland-Debord, Jacques Ropers, Anne-Marie Roque-Afonso, Charlotte Rosso, Mélanie Rousseaux, Nabila Rousseaux, Swasti Roux, Lorène Roux, Claire Rouzaud, Antoine Rozes, Emma Rubenstein, Jean-Marc Sabate, Sheila Sabet, Sophie-Caroline Sacleux, Nathalie Saidenberg Kermanach, Faouzi Saliba, Dominique Salmon, Laurent Savale, Guillaume Savary, Rebecca Sberro, Anne Scemla, Frederic Schlemmer, Mathieu Schwartz, Saïd Sedfi, Samia Sefir-Kribel, Philippe Seksik, Pierre Sellier, Agathe Selves, Nicole Sembach, Luca Semerano, Marie-Victoire Senat, Damien Sene, Alexandra Serris, Lucile Sese, Naima Sghiouar, Johanna Sigaux, Martin Siguier, Johanne Silvain, Noémie Simon, Tabassome Simon, Lina Innes Skandri, Miassa Slimani, Aurélie Snauwaert, Harry Sokol, Heithem Soliman, Nisrine Soltani, Benjamin Soyer, Gabriel Steg, Lydia Suarez, Tali-Anne Szwebel, Kossi Taffame, Yacine Tandjaoui-Lambiotte, Claire Tantet, Mariagrazia Tateo, Igor Theodose, Pierre clement Thiebaud, Caroline Thomas, Kelly Tiercelet, Julie Tisserand, Carole Tomczak, Krystel Torelino, Fatima Touam-Ext, Lilia Toumi, Gustave Toury, Mireille Toy-Miou, Olivia Tran Dinh Thanh Lien, Alexy Trandinh, Jean-Marc Treluyer, Baptiste Trinque, Jennifer Truchot, Sarah Tubiana, Simone Tunesi, Matthieu Turpin, Agathe Turpin, Tomas Urbina, Rafael Usubillaga Narvaez, Yurdagul Uzunhan, Prabakar Vaittinadaayar, Arnaud Valent, Maelle Valentian, Nadia Valin, Hélène Vallet, Marina Vaz, Miguel-Alejandro Vazquezibarra, Benoit Vedie, Laetitia Velly, Celine Verstuyft, Cedric Viallette, Eric Vicaut, Dorothee Vignes, Damien Vimpere, Myriam Virlouvet, Guillaume Voiriot, Lena Voisot, Emmanuel Weiss, Nicolas Weiss, Anaïs Winchenne, Youri Yordanov, Lara Zafrani, Mohamad Zaidan, Wissem Zaidi, Cathia Zak, Aida Zarhrate-Ghoul, Ouassila Zatout, Suzanne Zeino, Michel Zeitouni, Naïma Zemirli, Lorene Zerah, Ounsa Zia, Marianne Ziol, Oceane Zolario, Julien Zuber, Claire Andrejak, François Angoulvant, Delphine Bachelet, Marie Bartoli, Romain Basmaci, Sylvie Behillil, Marine Beluze, Dehbia Benkerrou, Krishna Bhavsar, Lila Bouadma, Sabelline Bouchez, Maude Bouscambert, Minerva Cervantes-Gonzalez, Anissa Chair, Catherine Chirouze, Alexandra Coelho, Sandrine Couffin-Cadiergues, Eric d’Ortenzio, Marie-Pierre Debray, Laurene Deconinck, Dominique Deplanque, Diane Descamps, Mathilde Desvallée, Alpha Diallo, Alphonsine Diouf, Céline Dorival, François Dubos, Brigitte Elharrar, Vincent Enouf, Hélène Esperou, Marina Esposito-Farese, Manuel Etienne, Eglantine Ferrand Devouge, Nathalie Gault, Alexandre Gaymard, Tristan Gigante, Morgane Gilg, Jérémie Guedj, Alexandre Hoctin, Isabelle Hoffmann, Ikram Houas, Jean-Sébastien Hulot, Salma Jaafoura, Florentia Kaguelidou, Sabrina Kali, Antoine Khalil, Coralie Khan, Cédric Laouénan, Samira Laribi, Minh Le, Quentin Le Hingrat, Soizic Le Mestre, Hervé Le Nagard, François-Xavier Lescure, Sophie Letrou, Yves Levy, Bruno Lina, Guillaume Lingas, Jean-Christophe Lucet, Denis Malvy, Marina Mambert, Amina Meziane, Hugo Mouquet, Jimmy Mullaert, Nadège Neant, Duc Nguyen, Marion Noret, Saad Nseir, Aurélie Papadopoulos, Christelle Paul, Nathan Peiffer-Smadja, Thomas Perpoint, Ventzislava Petrov-Sanchez, Gilles Peytavin, Huong Pham, Olivier Picone, Oriane Puéchal, Christian Rabaud, Manuel Rosa-Calatrava, Bénédicte Rossignol, Patrick Rossignol, Carine Roy, Marion Schneider, Richa Su, Coralie Tardivon, Marie-Capucine Tellier, François Téoulé, Olivier Terrier, Jean-François Timsit, Christelle Tual, Sylvie Van Der Werf, Noémie Vanel, Aurélie Veislinger, Benoit Visseaux, Aurélie Wiedemann, Yazdan Yazdanpanah, Loubna Alavoine, Charlotte Charpentier, Aline Dechanet, Jean-Luc Ecobichon, Wahiba Frezouls, Nadhira Houhou, Jonathan Lehacaut, Pauline Manchon, Mariama Nouroudine, Caroline Quintin, Michael Thy, Sylvie van der Werf, Valérie Vignali, Abir Chahine, Nawal Waucquier, Maria-Claire Migaud, Félix Djossou, Mayka Mergeay-Fabre, Aude Lucarelli, Magalie Demar, Léa Bruneau, Patrick Gérardin, Adrien Maillot, Christine Payet, Bruno Laviolle, Fabrice Laine, Christophe Paris, Mireille Desille-Dugast, Julie Fouchard, Thierry Pistone, Pauline Perreau, Valérie Gissot, Carole L.E. Goas, Samatha Montagne, Lucie Richard, Kévin Bouiller, Maxime Desmarets, Alexandre Meunier, Marilou Bourgeon, Benjamin Lefévre, Hélène Jeulin, Karine Legrand, Sandra Lomazzi, Bernard Tardy, Amandine Gagneux-Brunon, Frédérique Bertholon, Elisabeth Botelho-Nevers, Christelle Kouakam, Leturque Nicolas, Layidé Roufai, Karine Amat, Hélène Espérou, Samia Hendou, Giuseppe Foti, Giuseppe Citerio, Ernesto Contro, Alberto Pesci, Maria Grazia Valsecchi, Marina Cazzaniga, Giacomo Bellani, Jorge Abad, Giulia Accordino, Micol Angelini, Sergio Aguilera-Albesa, Aina Aguiló-Cucurull, Esra Akyüz Özkan, Ilad Alavi Darazam, Jonathan Antonio Roblero Albisures, Juan C. Aldave, Miquel Alfonso Ramos, Taj Ali Khan, Anna Aliberti, Seyed Alireza Nadji, Gulsum Alkan, Suzan A. AlKhater, Jerome Allardet-Servent, Luis M. Allende, Rebeca Alonso-Arias, Mohammed S. Alshahrani, Laia Alsina, Zahir Amoura, Arnau Antolí, Romain Arrestier, Mélodie Aubart, Teresa Auguet, Iryna Avramenko, Gökhan Aytekin, Axelle Azot, Seiamak Bahram, Fanny Bajolle, Fausto Baldanti, Aurélie Baldolli, Maite Ballester, Benoit Barrou, Federica Barzaghi, Sabrina Basso, Gulsum Iclal Bayhan, Liliana Bezrodnik, Agurtzane Bilbao, Geraldine Blanchard-Rohner, Ignacio Blanco, Adeline Blandinières, Daniel Blázquez-Gamero, Marketa Bloomfield, Mireia Bolivar-Prados, Raphael Borie, Elisabeth Botdhlo-Nevers, Aurore Bousquet, David Boutolleau, Claire Bouvattier, Oksana Boyarchuk, Juliette Bravais, M. Luisa Briones, Marie-Eve Brunner, Raffaele Bruno, Maria Rita P. Bueno, Huda Bukhari, Jacinta Bustamante, Juan José Cáceres Agra, Ruggero Capra, Raphael Carapito, Maria Carrabba, Carlos Casasnovas, Marion Caseris, Irene Cassaniti, Martin Castelle, Francesco Castelli, Martín Castillo de Vera, Mateus V. Castro, Emilie Catherinot, Jale Bengi Celik, Alessandro Ceschi, Martin Chalumeau, Bruno Charbit, Cécile Boulanger, Père Clavé, Bonaventura Clotet, Anna Codina, Cloé Comarmond, Patrizia Comoli, Angelo G. Corsico, Taner Coşkuner, Aleksandar Cvetkovski, Cyril Cyrus, David Dalmau, François Danion, David Ross Darley, Vincent Das, Nicolas Dauby, Stéphane Dauger, Paul De Munte, Loic de Pontual, Amin Dehban, Geoffroy Delplancq, Isabelle Desguerre, Antonio Di Sabatino, Jean-Luc Diehl, Stephanie Dobbelaere, Elena Domínguez-Garrido, Clément Dubost, Olov Ekwall, Şefika Elmas Bozdemir, Marwa H. Elnagdy, Melike Emiroglu, Akifumi Endo, Emine Hafize Erdeniz, Selma Erol Aytekin, Maria Pilar Etxart Lasa, Romain Euvrard, Giovanna Fabio, Laurence Faivre, Antonin Falck, Muriel Fartoukh, Morgane Faure, Miguel Fernandez Arquero, Ricard Ferrer, Jose Ferreres, Bruno Francois, Victoria Fumadó, Kitty S.C. Fung, Francesca Fusco, Alenka Gagro, Blanca Garcia Solis, Pierre Garçon, Pascale Gaussem, Zeynep Gayretli, Juana Gil-Herrera, Laurent Gilardin, Audrey Giraud Gatineau, Mònica Girona-Alarcón, Karen Alejandra Cifuentes Godínez, Jean-Christophe Goffard, Nacho Gonzales, Luis I. Gonzalez-Granado, Rafaela González-Montelongo, Antoine Guerder, Belgin Gülhan, Victor Daniel Gumucio, Leif Gunnar Hanitsch, Jan Gunst, Marta Gut, Jérôme Hadjadj, Selda Hancerli, Tetyana Hariyan, Nevin Hatipoglu, Deniz Heppekcan, Elisa Hernandez-Brito, Po-ki Ho, María Soledad Holanda-Peña, Juan P. Horcajada, Sami Hraiech, Linda Humbert, Ivan F.N. Hung, Alejandro D. Iglesias, Antonio Íñigo-Campos, Matthieu Jamme, María Jesús Arranz, Marie-Thérèse Jimeno, Iolanda Jordan, Saliha Kanık-Yüksek, Yalcin Kara, Aydın Karahan, Adem Karbuz, Kadriye Kart Yasar, Ozgur Kasapcopur, Kenichi Kashimada, Sevgi Keles, Yasemin Kendir Demirkol, Yasutoshi Kido, Can Kizil, Ahmet Osman Kılıç, Adam Klocperk, Antonia Koutsoukou, Zbigniew J. Król, Hatem Ksouri, Paul Kuentz, Arthur M.C. Kwan, Yat Wah M. Kwan, Janette S.Y. Kwok, Jean-Christophe Lagier, David S.Y. Lam, Vicky Lampropoulou, Fleur Le Bourgeois, Yee-Sin Leo, Rafael Leon Lopez, Daniel Leung, Michael Levin, Michael Levy, Romain Lévy, Zhi Li, Daniele Lilleri, Edson Jose Adrian Bolanos Lima, Agnes Linglart, Eduardo López-Collazo, José M. Lorenzo-Salazar, Céline Louapre, Catherine Lubetzki, Kwok-Cheung Lung, Charles-Edouard Luyt, David C. Lye, Cinthia Magnone, Enrico Marchioni, Carola Marioli, Majid Marjani, Laura Marques, Jesus Marquez Pereira, Andrea Martín-Nalda, David Martínez Pueyo, Javier Martinez-Picado, Iciar Marzana, Carmen Mata-Martínez, Alexis Mathian, Larissa R.B. Matos, Gail V. Matthews, Julien Mayaux, Raquel McLaughlin-Garcia, Philippe Meersseman, Jean-Louis Mège, Armand Mekontso-Dessap, Isabelle Melki, Federica Meloni, Jean-François Meritet, Paolo Merlani, Özge Metin Akcan, Mehdi Mezidi, Isabelle Migeotte, Maude Millereux, Matthieu Million, Tristan Mirault, Clotilde Mircher, Mehdi Mirsaeidi, Yoko Mizoguchi, Bhavi P. Modi, Francesco Mojoli, Elsa Moncomble, Abián Montesdeoca Melián, Antonio Morales Martinez, Francisco Morandeira, Pierre-Emmanuel Morange, Clémence Mordacq, Guillaume Morelle, Stéphane J. Mouly, Adrián Muñoz-Barrera, Cyril Nafati, Shintaro Nagashima, Yu Nakagama, Bénédicte Neven, João Farela Neves, Yuk-Yung Ng, Hubert Nielly, Yeray Novoa Medina, Esmeralda Nuñez Cuadros, Semsi Nur Karabela, J. Gonzalo Ocejo-Vinyals, Mehdi Oualha, Amani Ouedrani, Tayfun Özçelik, Aslinur Ozkaya-Parlakay, Michele Pagani, Maria Papadaki, Philippe Parola, Tiffany Pascreau, Stéphane Paul, Estela Paz-Artal, Sigifredo Pedraza, Nancy Carolina González Pellecer, Silvia Pellegrini, Rebeca Pérez de Diego, Xosé Luis Pérez-Fernández, Aurélien Philippe, Quentin Philippot, Adrien Picod, Marc Pineton de Chambrun, Antonio Piralla, Laura Planas-Serra, Dominique Ploin, Julien Poissy, Géraldine Poncelet, Garyphallia Poulakou, Marie S. Pouletty, Persia Pourshahnazari, Jia Li Qiu-Chen, Paul Quentric, Thomas Rambaud, Didier Raoult, Violette Raoult, Anne-Sophie Rebillat, Claire Redin, Léa Resmini, Pilar Ricart, Jean-Christophe Richard, Raúl Rigo-Bonnin, Nadia Rivet, Jacques G. Rivière, Gemma Rocamora-Blanch, Mathieu P. Rodero, Carlos Rodrigo, Luis Antonio Rodriguez, Carlos Rodriguez-Gallego, Agustí Rodriguez-Palmero, Carolina Soledad Romero, Anya Rothenbuhler, Damien Roux, Nikoletta Rovina, Flore Rozenberg, Yvon Ruch, Montse Ruiz, Maria Yolanda Ruiz del Prado, Juan Carlos Ruiz-Rodriguez, Joan Sabater-Riera, Kai Saks, Maria Salagianni, Oliver Sanchez, Adrián Sánchez-Montalvá, Silvia Sánchez-Ramón, Laire Schidlowski, Agatha Schluter, Julien Schmidt, Matthieu Schmidt, Catharina Schuetz, Cyril E. Schweitzer, Francesco Scolari, Luis Seijo, Analia Gisela Seminario, Piseth Seng, Sevtap Senoglu, Mikko Seppänen, Alex Serra Llovich, Virginie Siguret, Eleni Siouti, David M. Smadja, Nikaia Smith, Ali Sobh, Xavier Solanich, Jordi Solé-Violán, Catherine Soler, Betül Sözeri, Giulia Maria Stella, Yuriy Stepanovskiy, Annabelle Stoclin, Fabio Taccone, Jean-Luc Taupin, Simon J. Tavernier, Loreto Vidaur Tello, Benjamin Terrier, Guillaume Thiery, Karolina Thorn, Caroline Thumerelle, Imran Tipu, Martin Tolstrup, Gabriele Tomasoni, Julie Toubiana, Josep Trenado Alvarez, Vasiliki Triantafyllia, Jesús Troya, Owen T.Y. Tsang, Liina Tserel, Eugene Y.K. Tso, Alessandra Tucci, Şadiye Kübra Tüter Öz, Matilde Valeria Ursini, Takanori Utsumi, Pierre Vabres, Juan Valencia-Ramos, Ana Maria Van Den Rym, Isabelle Vandernoot, Valentina Velez-Santamaria, Silvia Patricia Zuniga Veliz, Mateus C. Vidigal, Sébastien Viel, Cédric Villain, Marie E. Vilaire-Meunier, Judit Villar-García, Audrey Vincent, Dimitri Van der Linden, Alla Volokha, Fanny Vuotto, Els Wauters, Alan K.L. Wu, Tak-Chiu Wu, Aysun Yahşi, Osman Yesilbas, Mehmet Yildiz, Barnaby E. Young, Ufuk Yükselmiş, Marco Zecca, Valentina Zuccaro, Jens Van Praet, Bart N. Lambrecht, Eva Van Braeckel, Cédric Bosteels, Levi Hoste, Eric Hoste, Fré Bauters, Jozefien De Clercq, Catherine Heijmans, Hans Slabbynck, Leslie Naesens, Benoit Florkin, Mary-Anne Young, Amanda Willis, Paloma Lapuente-Suanzes, Ana de Andrés-Martín, Matilda Berkell, Valerio Carelli, Alessia Fiorentino, Surbhi Malhotra, Alessandro Mattiaccio, Tommaso Pippucci, Marco Seri, Evelina Tacconelli, Michiel van Agtmael, Anne Geke Algera, Brent Appelman, Frank van Baarle, Diane Bax, Martijn Beudel, Harm Jan Bogaard, Marije Bomers, Peter Bonta, Lieuwe Bos, Michela Botta, Justin de Brabander, Godelieve de Bree, Sanne de Bruin, David T.P. Buis, Marianna Bugiani, Esther Bulle, Osoul Chouchane, Alex Cloherty, Mirjam Dijkstra, Dave A. Dongelmans, Romein W.G. Dujardin, Paul Elbers, Lucas Fleuren, Suzanne Geerlings, Theo Geijtenbeek, Armand Girbes, Bram Goorhuis, Martin P. Grobusch, Florianne Hafkamp, Laura Hagens, Jorg Hamann, Vanessa Harris, Robert Hemke, Sabine M. Hermans, Leo Heunks, Markus Hollmann, Janneke Horn, Joppe W. Hovius, Menno D. de Jong, Rutger Koning, Endry H.T. Lim, Niels van Mourik, Jeaninne Nellen, Esther J. Nossent, Frederique Paulus, Edgar Peters, Dan A.I. Pina-Fuentes, Tom van der Poll, Bennedikt Preckel, Jan M. Prins, Jorinde Raasveld, Tom Reijnders, Maurits C.F. J. de Rotte, Michiel Schinkel, Marcus J. Schultz, Femke A.P. Schrauwen, Alex Schuurmans, Jaap Schuurmans, Kim Sigaloff, Marleen A. Slim, Patrick Smeele, Marry Smit, Cornelis S. Stijnis, Willemke Stilma, Charlotte Teunissen, Patrick Thoral, Anissa M. Tsonas, Pieter R. Tuinman, Marc van der Valk, Denise P. Veelo, Carolien Volleman, Heder de Vries, Lonneke A. Vught, Michèle van Vugt, Dorien Wouters, A.H. Zwinderman, Matthijs C. Brouwer, W. Joost Wiersinga, Alexander P.J. Vlaar, Miranda F. Tompkins, Camille Alba, Daniel N. Hupalo, John Rosenberger, Gauthaman Sukumar, Matthew D. Wilkerson, Xijun Zhang, Justin Lack, Andrew J. Oler, Kerry Dobbs, Ottavia M. Delmonte, Jeffrey J. Danielson, Andrea Biondi, Laura Rachele Bettini, Mariella D’Angiò, Ilaria Beretta, Luisa Imberti, Alessandra Sottini, Virginia Quaresima, Eugenia Quiros-Roldan, Camillo Rossi, Riccardo Castagnoli, Daniela Montagna, Amelia Licari, and Gian Luigi Marseglia
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HLA ,association ,asymptomatic infection ,COVID-19 ,population stratification ,Genetics ,QH426-470 - Abstract
Summary: Human genetic studies of critical COVID-19 pneumonia have revealed the essential role of type I interferon-dependent innate immunity to SARS-CoV-2 infection. Conversely, an association between the HLA-B∗15:01 allele and asymptomatic SARS-CoV-2 infection in unvaccinated individuals was recently reported, suggesting a contribution of pre-existing T cell-dependent adaptive immunity. We report a lack of association of classical HLA alleles, including HLA-B∗15:01, with pre-omicron asymptomatic SARS-CoV-2 infection in unvaccinated participants in a prospective population-based study in the United States (191 asymptomatic vs. 945 symptomatic COVID-19 cases). Moreover, we found no such association in the international COVID Human Genetic Effort cohort (206 asymptomatic vs. 574 mild or moderate COVID-19 cases and 1,625 severe or critical COVID-19 cases). Finally, in the Human Challenge Characterisation study, the three HLA-B∗15:01 individuals infected with SARS-CoV-2 developed symptoms. As with other acute primary infections studied, no classical HLA alleles favoring an asymptomatic course of SARS-CoV-2 infection were identified.
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- 2024
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6. Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms
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Argin, Valérie Gaborieau, Rostane Gaci, Massimo Gagliardi, Jean-Charles Gagnard, Amandine Gagneux-Brunon, Abdou Gai, Sérgio Gaião, Linda Gail Skeie, Adham Mohamed Galal Mohamed Ramadan, Phil Gallagher, Carrol Gamble, Yasmin Gani, Arthur Garan, Rebekha Garcia, Julia Garcia-Diaz, Esteban Garcia-Gallo, Navya Garimella, Denis Garot, Valérie Garrait, Basanta Gauli, Anatoliy Gavrylov, Alexandre Gaymard, Johannes Gebauer, Eva Geraud, Louis Gerbaud Morlaes, Nuno Germano, Malak Ghemmeid, Praveen Kumar Ghisulal, Jade Ghosn, Marco Giani, Tristan Gigante, Elaine Gilroy, Guillermo Giordano, Michelle Girvan, Valérie Gissot, Gezy Giwangkancana, Daniel Glikman, Petr Glybochko, Eric Gnall, Geraldine Goco, François Goehringer, Siri Goepel, Jean-Christophe Goffard, Jin Yi Goh, Brigitta Golács, Jonathan Golob, Kyle Gomez, Joan Gómez-Junyent, Marie Gominet, Alicia Gonzalez, Patricia Gordon, Isabelle Gorenne, Laure Goubert, Cécile Goujard, Tiphaine Goulenok, Margarite Grable, Jeronimo Graf, Edward Wilson Grandin, Pascal Granier, Giacomo Grasselli, Lorenzo Grazioli, Christopher A. Green, Courtney Greene, William Greenhalf, Segolène Greffe, Domenico Luca Grieco, Matthew Griffee, Fiona Griffiths, Ioana Grigoras, Albert Groenendijk, Fassou Mathias Grovogui, Heidi Gruner, Yusing Gu, Jérémie Guedj, Martin Guego, Anne-Marie Guerguerian, Daniela Guerreiro, Romain Guery, Anne Guillaumot, Laurent Guilleminault, Maisa Guimarães de Castro, Thomas Guimard, Marieke Haalboom, Daniel Haber, Ali Hachemi, Abdurrahman Haddud, Nadir Hadri, Wael Hafez, Fakhir Raza Haidri, Fatima Mhd Rida Hajij, Sheeba Hakak, Adam Hall, Sophie Halpin, Shaher Hamdan, Abdelhafeez Hamdi, Jawad Hameed, Ansley Hamer, Raph L. Hamers, Rebecca Hamidfar, Bato Hammarström, Naomi Hammond, Terese Hammond, Lim Yuen Han, Matly Hanan, Rashan Haniffa, Kok Wei Hao, Hayley Hardwick, Ewen M. Harrison, Janet Harrison, Samuel Bernard Ekow Harrison, Alan Hartman, Sulieman Hasan, Mohammad Ali Nabil Hasan, Mohd Shahnaz Hasan, Junaid Hashmi, Madiha Hashmi, Amoni Hassan, Ebtisam Hassanin, Muhammad Hayat, Ailbhe Hayes, Leanne Hays, Jan Heerman, Lars Heggelund, Ahmed Helmi, Ross Hendry, Martina Hennessy, Aquiles Rodrigo Henriquez-Trujillo, Maxime Hentzien, Diana Hernandez, Andrew Hershey, Liv Hesstvedt, Astarini Hidayah, Eibhlin Higgins, Rupert Higgins, Samuel Hinton, Hiroaki Hiraiwa, Haider Hirkani, Hikombo Hitoto, Antonia Ho, Yi Bin Ho, Alexandre Hoctin, Isabelle Hoffmann, Wei Han Hoh, Oscar Hoiting, Rebecca Holt, Jan Cato Holter, Juan Pablo Horcajada, Ikram Houas, Mabrouka Houderi, Catherine L. Hough, Stuart Houltham, Jimmy Ming-Yang Hsu, Jean-Sébastien Hulot, Abby Hurd, Iqbal Hussain, Aliae Mohamed Hussein, Mahmood Hussein, Fatima Ibrahim, Bashir Ibran, Samreen Ijaz, M. Arfan Ikram, Carlos Cañada Illana, Patrick Imbert, Muhammad Imran Ansari, Rana Imran Sikander, Hugo Inácio, Carmen Infante Dominguez, Yun Sii Ing, Mariachiara Ippolito, Vera Irawany, Sarah Isgett, Tiago Isidoro, Nadiah Ismail, Margaux Isnard, Mette Stausland Istre, Junji Itai, Daniel Ivulich, Danielle Jaafar, Salma Jaafoura, Hamza Jaber, Julien Jabot, Clare Jackson, Abubacarr Jagne, Stéphane Jaureguiberry, Denise Jaworsky, Florence Jego, Anilawati Mat Jelani, Synne Jenum, Ruth Jimbo-Sotomayor, Ong Yiaw Joe, Ruth Noemí Jorge García, Silje Bakken Jørgensen, Cédric Joseph, Mark Joseph, Swosti Joshi, Mercé Jourdain, Philippe Jouvet, Anna Jung, Hanna Jung, Dafsah Juzar, Ouifiya Kafif, Florentia Kaguelidou, Neerusha Kaisbain, Thavamany Kaleesvran, Sabina Kali, Karl Trygve Kalleberg, Smaragdi Kalomoiri, Muhammad Aisar Ayadi Kamaluddin, Armand Saloun Kamano, Zul Amali Che Kamaruddin, Nadiah Kamarudin, Kavita Kamineni, Darshana Hewa Kandamby, Kong Yeow Kang, Darakhshan Kanwal, Dyah Kanyawati, Mohamed Karghul, Pratap Karpayah, Todd Karsies, Daisuke Kasugai, Kevin Katz, Christy Kay, Lamees Kayyali, Seán Keating, Pulak Kedia, Andrea Kelly, Aoife Kelly, Claire Kelly, Niamh Kelly, Sadie Kelly, Yvelynne Kelly, Maeve Kelsey, Kalynn Kennon, Sommay Keomany, Maeve Kernan, Younes Kerroumi, Sharma Keshav, Shams Khail, Sarah Khaled, Imrana Khalid, Antoine Khalil, Irfan Khan, Quratul Ain Khan, Sushil Khanal, Abid Khatak, Krish Kherajani, Michelle E. Kho, Denisa Khoo, Ryan Khoo, Saye Khoo, Muhammad Nasir Khoso, Amin Khuwaja, Khor How Kiat, Yuri Kida, Peter Kiiza, Beathe Kiland Granerud, Anders Benjamin Kildal, Jae Burm Kim, Antoine Kimmoun, Detlef Kindgen-Milles, Nobuya Kitamura, Eyrun Floerecke Kjetland Kjetland, Paul Klenerman, Rob Klont, Gry Kloumann Bekken, Stephen R. Knight, Robin Kobbe, Paa Kobina Forson, Chamira Kodippily, Malte Kohns Vasconcelos, Sabin Koirala, Mamoru Komatsu, Franklina Korkor Abebrese, Volkan Korten, Stephanie Kouba, Mohamed Lamine Kourouma, Karifa Kourouma, Arsène Kpangon, Karolina Krawczyk, Ali Kredan, Vinothini Krishnan, Sudhir Krishnan, Oksana Kruglova, Anneli Krund, Pei Xuan Kuan, Ashok Kumar, Deepali Kumar, Ganesh Kumar, Mukesh Kumar, Dinesh Kuriakose, Ethan Kurtzman, Demetrios Kutsogiannis, Galyna Kutsyna, Ama Kwakyewaa Bedu-Addo, Sylvie Kwedi, Konstantinos Kyriakoulis, Marie Lachatre, Marie Lacoste, John G. Laffey, Nadhem Lafhej, Marie Lagrange, Fabrice Laine, Olivier Lairez, Sanjay Lakhey, Marc Lambert, François Lamontagne, Marie Langelot-Richard, Vincent Langlois, Eka Yudha Lantang, Marina Lanza, Cédric Laouénan, Samira Laribi, Delphine Lariviere, Stéphane Lasry, Sakshi Lath, Naveed Latif, Youssef Latifeh, Odile Launay, Didier Laureillard, Yoan Lavie-Badie, Andy Law, Cassie Lawrence, Teresa Lawrence, Minh Le, Clément Le Bihan, Cyril Le Bris, Georges Le Falher, Lucie Le Fevre, Quentin Le Hingrat, Marion Le Maréchal, Soizic Le Mestre, Gwenaël Le Moal, Vincent Le Moing, Hervé Le Nagard, Ema Leal, Marta Leal Santos, Biing Horng Lee, Heng Gee Lee, Su Hwan Lee, Jennifer Lee, Todd C. Lee, Yi Lin Lee, Gary Leeming, Bénédicte Lefebvre, Laurent Lefebvre, Benjamin Lefèvre, Sylvie LeGac, Merili-Helen Lehiste, Jean-Daniel Lelievre, François Lellouche, Adrien Lemaignen, Véronique Lemee, Anthony Lemeur, Gretchen Lemmink, Ha Sha Lene, Jenny Lennon, Rafael León, Marc Leone, Tanel Lepik, Quentin Lepiller, François-Xavier Lescure, Olivier Lesens, Mathieu Lesouhaitier, Amy Lester-Grant, Andrew Letizia, Sophie Letrou, Bruno Levy, Yves Levy, Claire Levy-Marchal, Katarzyna Lewandowska, Erwan L'Her, Gianluigi Li Bassi, Janet Liang, Ali Liaquat, Geoffrey Liegeon, Kah Chuan Lim, Wei Shen Lim, Chantre Lima, Bruno Lina, Lim Lina, Andreas Lind, Maja Katherine Lingad, Guillaume Lingas, Sylvie Lion-Daolio, Keibun Liu, Marine Livrozet, Patricia Lizotte, Antonio Loforte, Navy Lolong, Leong Chee Loon, Diogo Lopes, Dalia Lopez-Colon, Anthony L. Loschner, Paul Loubet, Bouchra Loufti, Guillame Louis, Silvia Lourenco, Lara Lovelace-Macon, Lee Lee Low, Marije Lowik, Jia Shyi Loy, Jean Christophe Lucet, Carlos M. Luna, Olguta Lungu, Miles Lunn, Liem Luong, Nestor Luque, Dominique Luton, Olavi Maasikas, Moïse Machado, Sara Machado, Gabriel Macheda, Mustafa Magzoub, Rafael Mahieu, Sophie Mahy, Ana Raquel Maia, Lars S. Maier, Oumou Maiga Ascofare, Mylène Maillet, Thomas Maitre, Nimisha Abdul Majeed, Maximilian Malfertheiner, Nadia Malik, Paddy Mallon, Fernando Maltez, Denis Malvy, Victoria Manda, Laurent Mandelbrot, Frank Manetta, Julie Mankikian, Edmund Manning, Aldric Manuel, Veronika Maráczi, Ceila Maria Sant′Ana Malaque, Flávio Marino, Samuel Markowicz, Ana Marques, Catherine Marquis, Laura Marsh, Brian Marsh, Megan Marshal, John Marshall, Celina Turchi Martelli, Dori-Ann Martin, Emily Martin, Guillaume Martin-Blondel, Alessandra Martinelli, F. Eduardo Martinez, Martin Martinot, Alejandro Martín-Quiros, Ana Martins, João Martins, Nuno Martins, Caroline Martins Rego, Gennaro Martucci, Olga Martynenko, Eva Miranda Marwali, Marsilla Marzukie, David Maslove, Sabina Mason, Sobia Masood, Fatma Masoud, Moise Massoma, Palmer Masumbe, Mohd Basri Mat Nor, Moshe Matan, Henrique Mateus Fernandes, Meghena Mathew, Christina Mathew, Mathieu Mattei, Laurence Maulin, Juergen May, Javier Maynar, Mayfong Mayxay, Thierry Mazzoni, Lisa Mc Sweeney, Colin McArthur, Naina McCann, Peter McCanny, Aine McCarthy, Anne McCarthy, Colin McCloskey, Rachael McConnochie, Sherry McDermott, Sarah E. McDonald, Aine McElroy, Samuel McElwee, Natalie McEvoy, Allison McGeer, Kenneth A. McLean, Paul McNally, Bairbre McNicholas, Edel Meaney, Cécile Mear-Passard, Maggie Mechlin, Nastia Medombou, Omar Mehkri, Ferruccio Mele, Luis Melo, Kashif Ali Memon, João João Mendes, Ogechukwu Menkiti, Kusum Menon, France Mentré, Alexander J. Mentzer, Emmanuelle Mercier, Noémie Mercier, Antoine Merckx, Mayka Mergeay-Fabre, Blake Mergler, António Mesquita, Roberta Meta, Osama Metwally, Agnès Meybeck, Dan Meyer, Alison M. Meynert, Vanina Meysonnier, Mehdi Mezidi, Céline Michelanglei, Isabelle Michelet, Efstathia Mihelis, Vladislav Mihnovit, Duha Milad Abdullah, Jennene Miller, Hugo Miranda-Maldonado, Nor Arisah Misnan, Nik Nur Eliza Mohamed, Nouralsabah Mohamed, Tahira Jamal Mohamed, Alaa Mohamed Ads, Ahmed Reda Mohamed Elsayed Abdelhalim, Libya Mohammed, Shrouk Fawze Mohammed Mostafa, Manahil Omer Abdelrahman Mohammedahmed, Omer Abdullah Mohammedelhassan, Asma Moin, Walaa Mokhtar, Elena Molinos, Brenda Molloy, Mary Mone, Agostinho Monteiro, Claudia Montes, Giorgia Montrucchio, Sarah Moore, Shona C. Moore, Lina Morales Cely, Marwa Morgom, Lucia Moro, Catherine Motherway, Ana Motos, Hugo Mouquet, Clara Mouton Perrot, Julien Moyet, Suleiman Haitham Mualla, Mohamed Muftah, Aisha Kalsoom Mufti, Ng Yong Muh, Mo'nes Muhaisen, Dzawani Muhamad, Jimmy Mullaert, Fredrik Müller, Karl Erik Müller, Daniel Munblit, Syed Muneeb Ali, Nadeem Munir, Laveena Munshi, Aisling Murphy, Patrick Murray, Marlène Murris, Srinivas Murthy, Himed Musaab, Alamin Mustafa, Mus'ab Mustafa, Dana Mustafa, Himasha Muvindi, Dimitra Melia Myrodia, Farah Nadia Mohd-Hanafiah, Behzad Nadjm, Dave Nagpal, Alex Nagrebetsky, Blanka Nagybányai-Nagy, Herwin Nanda Boudoin, Mangala Narasimhan, Nageswaran Narayanan, Prashant Nasa, Rashid Nasim Khan, Ahmad Nasrallah, Adel Gerges Nassif Metri, Alasdair Nazerali-Maitland, Nadège Neant, Holger Neb, Nikita Nekliudov, Matthew Nelder, Erni Nelwan, Raul Neto, Emily Neumann, Wing Yiu Ng, Pauline Yeung Ng, Anthony Nghi, Duc Nguyen, Orna Ni Choileain, Niamh Ni Leathlobhair, Nerissa Niba, Alistair D. Nichol, Prompak Nitayavardhana, Stephanie Nonas, Nurul Amani Mohd Noordin, Nurul Faten Izzati Norharizam, Anita North, Alessandra Notari, Mahdad Noursadeghi, Adam Nowinski, Saad Nseir, Leonard Numfor, Nurnaningsih Nurnaningsih, Dwi Utomo Nusantara, Elsa Nyamankolly, Anders Benteson Nygaard, Fionnuala O. Brien, Annmarie O. Callaghan, Annmarie O'Callaghan, Giovanna Occhipinti, Derbrenn OConnor, Max O'Donnell, Lawrence Ofori-Boadu, Tawnya Ogston, Takayuki Ogura, Tak-Hyuk Oh, Sophie O'Halloran, Katie O'Hearn, Sally-Ann Ohene, João Oliveira, Larissa Oliveira, Piero L. Olliaro, Cinderella Omar Rageh Elnaggar, Alsarrah Ali Mohammed Omer, Pierre Ondobo, David S.Y. Ong, Jee Yan Ong, Wilna Oosthuyzen, Anne Opavsky, Peter Openshaw, Saijad Orakzai, Claudia Milena Orozco-Chamorro, Jamel Ortoleva, Mohamed Osama Elsayed Soliman, Javier Osatnik, Linda O'Shea, Miriam O'Sullivan, Eman Othman, Siti Zubaidah Othman, Nadia Ouamara, Rachida Ouissa, Micheal Owusu, Ama Akyampomaa Owusu-Asare, Eric Oziol, Maïder Pagadoy, Justine Pages, Amanda Palacios, Massimo Palmarini, Giovanna Panarello, Hem Paneru, Lai Hui Pang, Mauro Panigada, Nathalie Pansu, Aurélie Papadopoulos, Rachael Parke, Melissa Parker, Jérémie Pasquier, Bruno Pastene, Fabian Patauner, Drashti Patel, Mohan Dass Pathmanathan, Luís Patrão, Patricia Patricio, Lisa Patterson, Rajyabardhan Pattnaik, Christelle Paul, Mical Paul, Jorge Paulos, William A. Paxton, Jean-François Payen, Sandra L. Peake, Kalaiarasu Peariasamy, Giles J. Peek, Florent Peelman, Nathan Peiffer-Smadja, Vincent Peigne, Mare Pejkovska, Paolo Pelosi, Ithan D. Peltan, Rui Pereira, Daniel Perez, Thomas Perpoint, Antonio Pesenti, Vincent Pestre, Lenka Petrou, Michele Petrovic, Ventzislava Petrov-Sanchez, Frank Olav Pettersen, Gilles Peytavin, Richard Odame Philips, Ooyanong Phonemixay, Soulichanya Phoutthavong, Michael Piagnerelli, Walter Picard, Olivier Picone, Maria de Piero, Djura Piersma, Carlos Pimentel, Raquel Pinto, Catarina Pires, Lionel Piroth, Ayodhia Pitaloka, Chiara Piubelli, Riinu Pius, Simone Piva, Laurent Plantier, Hon Shen Png, Julien Poissy, Ryadh Pokeerbux, Sergio Poli, Georgios Pollakis, Diane Ponscarme, Diego Bastos Porto, Andra-Maris Post, Douwe F. Postma, Pedro Povoa, Diana Póvoas, Jeff Powis, Sofia Prapa, Viladeth Praphasiri, Sébastien Preau, Christian Prebensen, Jean-Charles Preiser, Anton Prinssen, Gamage Dona Dilanthi Priyadarshani, Lucia Proença, Sravya Pudota, Bambang Pujo Semedi, Mathew Pulicken, Peter Puplampu, Gregory Purcell, Luisa Quesada, Vilmaris Quinones-Cardona, Else Quist-Paulsen, Mohammed Quraishi, Fadi Qutishat, Maia Rabaa, Christian Rabaud, Ebenezer Rabindrarajan, Aldo Rafael, Marie Rafiq, Abdelrahman Ragab, Mutia Rahardjani, Arslan Rahat Ullah, Ahmad Kashfi Haji Ab Rahman, Rozanah Abd Rahman, Fernando Rainieri, Giri Shan Rajahram, Pratheema Ramachandran, Nagarajan Ramakrishnan, José Ramalho, Ahmad Afiq Ramli, Blandine Rammaert, Grazielle Viana Ramos, Asim Rana, Rajavardhan Rangappa, Ritika Ranjan, Christophe Rapp, Aasiyah Rashan, Thalha Rashan, Ghulam Rasheed, Menaldi Rasmin, Indrek Rätsep, Cornelius Rau, Tharmini Ravi, Ali Raza, Andre Real, Stanislas Rebaudet, Sarah Redl, Brenda Reeve, Attaur Rehman, Muhammad Osama Rehman Khalid, Dag Henrik Reikvam, Renato Reis, Jonathan Remppis, Martine Remy, Hongru Ren, Hanna Renk, Anne-Sophie Resseguier, Matthieu Revest, Oleksa Rewa, Maria Ines Ribeiro, Antonia Ricchiuto, David Richardson, Denise Richardson, Laurent Richier, Siti Nurul Atikah Ahmad Ridzuan, Ana L. Rios, Asgar Rishu, Patrick Rispal, Karine Risso, Maria Angelica Rivera Nuñez, Chiara Robba, André Roberto, Stephanie Roberts, Charles Roberts, David L. Robertson, Olivier Robineau, Anna Roca, Ferran Roche-Campo, Paola Rodari, Simão Rodeia, Bernhard Roessler, Claire Roger, Pierre-Marie Roger, Roberto Roncon-Albuquerque, Jr., Mélanie Roriz, Manuel Rosa-Calatrava, Michael Rose, Dorothea Rosenberger, Andrea Rossanese, Matteo Rossetti, Patrick Rossignol, Carine Roy, Benoît Roze, Desy Rusmawatiningtyas, Clark D. Russell, Maeve Ryan, Steffi Ryckaert, Aleksander Rygh Holten, Isabela Saba, Sairah Sadaf, Musharaf Sadat, Valla Sahraei, Abdurraouf Said, Nadia Saidani, Pranya Sakiyalak, Fodé Bangaly Sako, Moamen Salah, Ali Alaa Salah Eldin Mohamed Abbas, Nawal Salahuddin, Leonardo Salazar, Jodat Saleem, Mohammed Saleh Alyasiri, Talat Ahmed Abu Salem, Gabriele Sales, Charlotte Salmon Gandonniere, Hélène Salvator, Dana Samardali, Shaden Samardali, Yehia Samir Shaaban Aly Orabi, Emely Sanchez, Olivier Sanchez, Kizy Sanchez de Oliveira, Angel Sanchez-Miralles, Vanessa Sancho-Shimizu, Gyan Sandhu, Zulfiqar Sandhu, Pierre-François Sandrine, Oana Săndulescu, Marlene Santos, Shirley Sarfo-Mensah, Bruno Sarmento Banheiro, Iam Claire E. Sarmiento, Benjamine Sarton, Ankana Satya, Sree Satyapriya, Rumaisah Satyawati, Egle Saviciute, Yen Tsen Saw, Justin Schaffer, Tjard Schermer, Arnaud Scherpereel, Marion Schneider, János Schnur, Stephan Schroll, Michael Schwameis, Gary Schwartz, Janet T. Scott, James Scott-Brown, Nicholas Sedillot, Tamara Seitz, Jaganathan Selvanayagam, Mageswari Selvarajoo, Malcolm G. Semple, Rasidah Bt Senian, Eric Senneville, Claudia Sepulveda, Filipa Sequeira, Tânia Sequeira, Ary Serpa Neto, Ellen Shadowitz, Syamin Asyraf Shahidan, Hamza Shahla, Laila Shalabi, Haitam Shames, Anuraj Shankar, Shaikh Sharjeel, Pratima Sharma, Catherine A. Shaw, Victoria Shaw, John Robert Sheenan, Dr. Rajesh Mohan Shetty, Rohan Shetty, Mohiuddin Shiekh, Nobuaki Shime, Keiki Shimizu, Sally Shrapnel, Shubha Kalyan Shrestha, Pramesh Sundar Shrestha, Hoi Ping Shum, Nassima Si Mohammed, Ng Yong Siang, Moses Siaw-Frimpong, Jeanne Sibiude, Bountoy Sibounheuang, Nidhal Siddig, Atif Siddiqui, Maqsood Ahmed Siddiqui, Louise Sigfrid, Fatoumata Sillah, Piret Sillaots, Catarina Silva, Maria Joao Silva, Rogério Silva, Benedict Sim Lim Heng, Wai Ching Sin, Dario Sinatti, Mahendra Singh, Punam Singh, Pompini Agustina Sitompul, Karisha Sivam, Vegard Skogen, Sue Smith, Benjamin Smood, Coilin Smyth, Morgane Snacken, Dominic So, Tze Vee Soh, Lene Bergendal Solberg, Joshua Solomon, Tom Solomon, Emily Somers, Agnès Sommet, Myung Jin Song, Rima Song, Tae Song, Jack Song Chia, Arne Søraas, Albert Sotto, Edouard Soum, Ana Chora Sousa, Marta Sousa, Maria Sousa Uva, Vicente Souza-Dantas, Mamadou Saliou Sow, Alexandra Sperry, Elisabetta Spinuzza, B. P. Sanka Ruwan Sri Darshana, Shiranee Sriskandan, Sarah Stabler, Thomas Staudinger, Stephanie-Susanne Stecher, Trude Steinsvik, Ymkje Stienstra, Birgitte Stiksrud, Eva Stolz, Amy Stone, Anca Streinu-Cercel, Adrian Streinu-Cercel, Geoff Strong, Ami Stuart, David Stuart, Richa Su, Decy Subekti, Gabriel Suen, Jacky Y. Suen, Prasanth Sukumar, Asfia Sultana, Charlotte Summers, Dubravka Supic, Deepashankari Suppiah, Magdalena Surovcová, Atie Suwarti, Andrey Svistunov, Sarah Syahrin, Augustina Sylverken, Konstantinos Syrigos, Jaques Sztajnbok, Konstanty Szuldrzynski, Shirin Tabrizi, Fabio S. Taccone, Lysa Tagherset, Shahdattul Mawarni Taib, Sara Taleb, Cheikh Talla, Jelmer Talsma, Renaud Tamisier, Maria Lawrensia Tampubolon, Kim Keat Tan, Yan Chyi Tan, Hiroyuki Tanaka, Taku Tanaka, Hayato Taniguchi, Huda Taqdees, Arshad Taqi, Coralie Tardivon, Yousef Tarek Kamal Mostafa, Ali Tarhabat, Pierre Tattevin, M Azhari Taufik, Hassan Tawfik, Tze Yuan Tee, João Teixeira, Sofia Tejada, Marie-Capucine Tellier, Sze Kye Teoh, Vanessa Teotonio, François Téoulé, Olivier Terrier, Nicolas Terzi, Hubert Tessier-Grenier, Adrian Tey, Alif Adlan Mohd Thabit, Anand Thakur, Zhang Duan Tham, Suvintheran Thangavelu, Elmi Theron, Vincent Thibault, Simon-Djamel Thiberville, Benoît Thill, Jananee Thirumanickam, Niamh Thompson, Shaun Thompson, Emma C. Thomson, David Thomson, Mathew Thorpe, Surain Raaj Thanga Thurai, Ryan S. Thwaites, Paul Tierney, Vadim Tieroshyn, Peter S. Timashev, Jean-François Timsit, Noémie Tissot, Fiona Toal, Jordan Zhien Yang Toh, Maria Toki, Kristian Tonby, Sia Loong Tonnii, Marta Torre, Antoni Torres, Margarida Torres, Rosario Maria Torres Santos-Olmo, Hernando Torres-Zevallos, Aboubacar Tounkara, Michael Towers, Fodé Amara Traoré, Tony Trapani, Cécile Tromeur, Ioannis Trontzas, Tiffany Trouillon, Jeanne Truong, Christelle Tual, Sarah Tubiana, Helen Tuite, Alexis F. Turgeon, Jean-Marie Turmel, Lance C.W. Turtle, Anders Tveita, Pawel Twardowski, Makoto Uchiyama, PG Ishara Udayanga, Andrew Udy, Roman Ullrich, Alberto Uribe, Asad Usman, Effua Usuf, Timothy M. Uyeki, Cristinava Vajdovics, Piero Valentini, Luís Val-Flores, Stijn Van de Velde, Marcel van den Berge, Machteld van der Feltz, Job van der Palen, Paul van der Valk, Nicky Van Der Vekens, Peter Van der Voort, Sylvie Van Der Werf, Laura van Gulik, Jarne Van Hattem, Carolien van Netten, Ilonka van Veen, Noémie Vanel, Henk Vanoverschelde, Michael Varrone, Shoban Raj Vasudayan, Charline Vauchy, Pavan Kumar Vecham, Shaminee Veeran, Aurélie Veislinger, Sebastian Vencken, Sara Ventura, Annelies Verbon, José Ernesto Vidal, César Vieira, Deepak Vijayan, Judit Villar, Pierre-Marc Villeneuve, Andrea Villoldo, Gayatri Vishwanathan, Benoit Visseaux, Hannah Visser, Chiara Vitiello, Manivanh Vongsouvath, Harald Vonkeman, Fanny Vuotto, Suhaila Abdul Wahab, Noor Hidayu Wahab, Nadirah Abdul Wahid, Marina Wainstein, Laura Walsh, Wan Fadzlina Wan Muhd Shukeri, Chih-Hsien Wang, Steve Webb, Katharina Weil, Tan Pei Wen, Hassi Wesam, Sanne Wesselius, T. Eoin West, Murray Wham, Bryan Whelan, Nicole White, Paul Henri Wicky, Aurélie Wiedemann, Surya Otto Wijaya, Keith Wille, Sue Willems, Bailey Williams, Patricia J. Williams, Virginie Williams, Jessica Wittman, Calvin Wong, Xin Ci Wong, Yew Sing Wong, Teck Fung Wong, Natalie Wright, Lim Saio Xian, Ioannis Xynogalas, Siti Rohani Binti Mohd Yakop, Masaki Yamazaki, Elizabeth Yarad, Yazdan Yazdanpanah, Nicholas Yee Liang Hing, Abdelrahman Yehia Mahmoud Abdelaal, Cécile Yelnik, Chian Hui Yeoh, Stephanie Yerkovich, Touxiong Yiaye, Toshiki Yokoyama, Hodane Yonis, Obada Yousif, Saptadi Yuliarto, Akram Zaaqoq, Marion Zabbe, Gustavo E. Zabert, Kai Zacharowski, Masliza Zahid, Maram Zahran, Nor Zaila Binti Zaidan, Maria Zambon, Miguel Zambrano, Alberto Zanella, Nurul Zaynah, Hiba Zayyad, Alexander Zoufaly, and David Zucman
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COVID-19 ,Non-respiratory symptoms ,Respiratory symptoms ,Risk factors ,Mortality ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Background: COVID-19 is primarily known as a respiratory illness; however, many patients present to hospital without respiratory symptoms. The association between non-respiratory presentations of COVID-19 and outcomes remains unclear. We investigated risk factors and clinical outcomes in patients with no respiratory symptoms (NRS) and respiratory symptoms (RS) at hospital admission. Methods: This study describes clinical features, physiological parameters, and outcomes of hospitalised COVID-19 patients, stratified by the presence or absence of respiratory symptoms at hospital admission. RS patients had one or more of: cough, shortness of breath, sore throat, runny nose or wheezing; while NRS patients did not. Results: Of 178,640 patients in the study, 86.4 % presented with RS, while 13.6 % had NRS. NRS patients were older (median age: NRS: 74 vs RS: 65) and less likely to be admitted to the ICU (NRS: 36.7 % vs RS: 37.5 %). NRS patients had a higher crude in-hospital case-fatality ratio (NRS 41.1 % vs. RS 32.0 %), but a lower risk of death after adjusting for confounders (HR 0.88 [0.83–0.93]). Conclusion: Approximately one in seven COVID-19 patients presented at hospital admission without respiratory symptoms. These patients were older, had lower ICU admission rates, and had a lower risk of in-hospital mortality after adjusting for confounders.
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- 2024
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- View/download PDF
7. Copyright Protection for Works Created by AI Technology under the EU Law and Vietnamese Law
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Minh Le Thi
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European Union ,Copyright ,artificial intelligence ,Vietnamese intellectual property law ,Vietnamese copyright law ,Law in general. Comparative and uniform law. Jurisprudence ,K1-7720 - Abstract
The legislation of the European Union increasingly focuses on expanding the scope of works protected by intellectual property rights, including literary works, music, films, and phonograms. The breakthrough in artificial intelligence (AI) has contributed significantly to creating works of art with little or no human intervention. The article examines the current situation of EU copyright law and Vietnamese law regarding AI-generated works. The article concludes that EU law governs copyright for these works based on the extent of human contribution to the creation of the work. Meanwhile, Vietnamese law still needs to resolve the issue of intellectual property rights for works created by AI.
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- 2023
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- View/download PDF
8. Quercetin induces pathogen resistance through the increase of salicylic acid biosynthesis in Arabidopsis
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Jonguk An, Sun Ho Kim, Sunghwa Bahk, Minh Le Anh Pham, Jaemin Park, Zakiyah Ramadany, Jeongwoo Lee, Jong Chan Hong, and Woo Sik Chung
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flavonoid ,npr1 ,pathogen resistance ,quercetin ,salicylic acid ,Plant ecology ,QK900-989 ,Biology (General) ,QH301-705.5 - Abstract
Quercetin is a flavonol belonging to the flavonoid group of polyphenols. Quercetin is reported to have a variety of biological functions, including antioxidant, pigment, auxin transport inhibitor and root nodulation factor. Additionally, quercetin is known to be involved in bacterial pathogen resistance in Arabidopsis through the transcriptional increase of pathogenesis-related (PR) genes. However, the molecular mechanisms underlying how quercetin promotes pathogen resistance remain elusive. In this study, we showed that the transcriptional increases of PR genes were achieved by the monomerization and nuclear translocation of nonexpressor of pathogenesis-related proteins 1 (NPR1). Interestingly, salicylic acid (SA) was approximately 2-fold accumulated by the treatment with quercetin. Furthermore, we showed that the increase of SA biosynthesis by quercetin was induced by the transcriptional increases of typical SA biosynthesis-related genes. In conclusion, this study strongly suggests that quercetin induces bacterial pathogen resistance through the increase of SA biosynthesis in Arabidopsis.
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- 2023
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9. Anti-Methicillin resistant Staphylococcus aureus Activity of Carallia brachiata L. Extract
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Thanh Thi Ngoc Lan Mai, Minh Le, Hoang A. Hoang, and Thanh V. Truong
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Chemical engineering ,TP155-156 ,Computer engineering. Computer hardware ,TK7885-7895 - Abstract
In Viet Nam, antibiotic is an important class of drugs because infectious diseases in Viet Nam is the top ratio of infections and death. Methicillin-resistant Staphylococcus aureus (MRSA) accounted for 82.1% of all isolates of S. aureus as the cause of death related to hospital-acquired pneumonia. Developing towards our ongoing studies of screening anti-Staphylococcus aureus activity of several local plants, we herein revealed the anti-MRSA activity of the extract of Carallia brachiata L. cultivated in Vietnam. The dilution method was performed to confirm the MIC value of fractions that contained anti-MRSA activity. The capacity of Carallia brachiata L. extract to inhibit MRSA’s hemolytic properties was determined by culturing MRSA on blood agar plates. The fractions from the ethanol Carallia brachiata L. extract were collected using liquid-liquid phase separation. According to the results, the minimum inhibitory concentration (MIC) value of ethyl acetate Carallia brachiata L. extract fraction against MRSA is approximately 2.5 mg/mL. The hemolytic capacity of MRSA is inhibited by ethyl acetate Carallia brachiata L. extract fraction. The potency of anti-MRSA activity of Carallia brachiata L. extract is reported for the first time.
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- 2023
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10. Strains and virulence genes of salmonella with multidrug resistance isolated from chicken carcasses (Hanoi, Vietnam)
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Xuan Da Pham, Hao Le Thi Hong, Huyen Tran Thi Thanh, Long Thanh Le, Hoa Vinh Le, Ninh Hanh Thi, Minh Le Tran, and Nguyen Thanh Trung
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antimicrobials ,salmonella ,multidrug resistance ,virulence factor ,plasmid ,chicken ,antibiotic resistance gen ,salmonella pathogenicity island (spi) ,beta-lactam ,Medicine - Abstract
Salmonella enterica is one of dangerous food-borne pathogens listed by the World Health Organization (WHO). In Vietnam, poultry is one of the most widely eaten meats and is reported as a common source of S. enterica contamination. The aim of this study was to examine multi-resistant Salmonella strains, to identify susceptibility to antibiotics by using 15 different types of medications and to perform sequencing to analyze antibiotic resistance genes, genotypes, multi-locus sequence-based typing (MLST), and plasmids. The result of the antibiotic susceptibility test indicated that phenotypic resistance to 9–11 types of antimicrobials was confirmed in all strains. Among 06 sequenced strains, we identified 43 genes associated with antibiotic resistance: strains carrying a range of genes that are associated with aminoglycoside resistance (aac(3), aac(6), ant(3), aph(3), aph(6), aadA); all strains carried blaCTX-M-55 or blaCTX-M-65 gene, which were resistant to the 3rd generation antibiotics; there were also frequently observed sul1, sul2, sul3, tet (A), qnrS1, floR, dfrA14 or dfrA27 genes in sequenced isolates. Besides, the genome sequencing also indicated that all strains carried pathogenicity islands SPI 1, SPI 2, and SPI 3 thereby creating many potential triggers of the disease. Additionally, some carried C63PI, SPI 9, SPI 13, SPI 14, and plus some plasmids such as Col156, IncHI2, IncHI2A, IncFIB, Col (MGD2).
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- 2023
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11. Genomic analyses reveal three phylogenetic species and their evolutionary histories in the big-headed turtle
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Shiping Gong, Chatmongkon Suwannapoom, Minh Le, Truong Quang Nguyen, Yan Ge, Yufeng Wei, and Yangchun Gao
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Biological classification ,Evolutionary biology ,Phylogenetics ,Zoology ,Science - Abstract
Summary: The critically endangered big-headed turtle (Platysternon megacephalum) is currently classified into three subspecies. However, the classification is still controversial and their evolutionary histories are still unclear. Here, multiple genetic analyses consistently revealed three phylogenetic groups with substantial genetic divergences and distinct demographic histories, suggesting three phylogenetic species (P. megacephalum, P. peguense, and Baise clade). Phylogeographical analyses revealed that the Red River plains and Guangxi basins are largely coincident with the boundaries between the three phylogenetic species, highlighting the key role of lowland areas in driving speciation in the big-headed turtle. The Baise clade is characterized by high-linkage disequilibrium but the lowest effective population size, indicating that the cryptic phylogenetic species is more vulnerable to human activities and environmental disturbance, and urgently needs more protection. Our findings provide fundamental insights into the taxonomy and scientific conservation of the family Platysternidae.
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- 2023
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12. Active disturbance rejection control-based anti-coupling method for conical magnetic bearings
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Danh Huy Nguyen, Minh Le Vu, Hieu Do Trong, Danh Giang Nguyen, and Tung Lam Nguyen
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conical active magnetic bearings ,over-actuated systems ,adrc ,coupling mechanism ,linearization ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Conical-shape magnetic bearings are currently a potential candidate for various magnetic force-supported applications due to their unique geometric nature reducing the number of required active magnets. However, the bearing structure places control-engineering related problems in view of underactuated and coupling phenomena. The paper proposes an Adaptive Disturbance Rejection Control (ADRC) for solving the above-mentioned problem in the conical magnetic bearing. At first, virtual current controls are identified to decouple the electrical sub-system, then the active disturbance rejection control is employed to eliminate coupling effects owing to rotational motions. Comprehensive simulations are provided to illustrate the control ability.
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- 2022
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13. Professional Preparedness Implications of Workplace Violence against Medical Students in Hospitals: A Cross-Sectional Study
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Linh Gia Vu MPH, Long Nguyen Hoang MPH, Minh Le Vu Ngoc BSc, Hao Nguyen Si Anh MD, Nila Nathan PhD, Vu Anh Trong Dam MPH, Thuc Minh Thi Vu PhD, Carl A. Latkin PhD, Cyrus S.H. Ho MBBS, DCP, MRCPsych, and Roger C.M. Ho MBBS, MRCPsych, FRCPC
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Public aspects of medicine ,RA1-1270 - Abstract
Workplace violence is an increasing public health concern around the world. In Vietnam, attacks on healthcare workers have become a huge issue in recent years. Our study aims to shed more light on the issue and look at what variables affect acts of violence toward healthcare workers. We conducted this cross-sectional study by surveying 550 medical students from 3 universities in Vietnam. Following this survey on SurveyMonkey’s platform (surveymonkey.com), the participants were suggested to invite their associates who met the selection criteria to join in this online survey. The structured questionnaire included demographics and details on the violence. There were 90.5% of respondents were medical students, the mean age was 23.3, and verbal abuse had a prevalence rate of 29.3%. Women respondents are less likely to suffer from violent experiences than men (OR = 0.48, 95% CI = 0.28-0.84), and those specializing in nurse and technician also faced a lower rate of acts of aggression (physical violence: OR = 0.35; 95% CI = 0.19-0.63, sexual harassment: OR = 0.36; 95% CI = 0.15-0.87, and any type of violence: OR = 0.55, 95% CI = 0.37-0.82). Medical students working in Ho Chi Minh City (OR = 0.55; 95% CI = 0.34-0.89), and other regions (OR = 0.40; 95% CI = 0.19-0.85) were significantly less likely to face verbal abuse than those working in Hanoi. The workplace culture needs to be changed to make sure that people feel comfortable reporting, especially those who are younger. Protecting medical students also ensures patient safety since victims of assault in the workplace can have severe aftereffects affecting their ability to provide good patient care. Hence, policies need to be implemented at both the government and hospital administration levels to keep health workers safe.
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- 2023
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14. Data Partitioning and Asynchronous Processing to Improve the Embedded Software Performance on Multicore Processors
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Phuc Bui, Minh Le, Binh Hoang, Nguyen Ngoc, and Huong Pham
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embedded software performance improvement ,multicore processors ,multithread ,data partitioning ,asynchronous processing ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Nowadays, ensuring information security is extremely inevitable and urgent. We are also witnessing the strong development of embedded systems, IoT. As a result, research to ensure information security for embedded software is being focused. However, studies on optimizing embedded software on multi-core processors to ensure information security and increase the performance of embedded software have not received much attention. The paper proposes and develops the embedded software performance improvement method on multi-core processors based on data partitioning and asynchronous processing. Data are used globally to be retrieved by any threads. The data are divided into different partitions, and the program is also installed according to the multi-threaded model. Each thread handles a partition of the divided data. The size of each data portion is proportional to the processing speed and the cache size of the core in the multi-core processor. Threads run in parallel and do not need synchronization, but it is necessary to share a general global variable to check the executing status of the system. Our research on embedded software is based on data security, so we have tested and assessed the method with several block ciphers like AES, DES, etc., on Raspberry PI3. The average performance improvement rate achieved was 59.09%.
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- 2022
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15. Creating genetic reference datasets: Indirect sampling of target species using terrestrial leeches as sample 'collectors'
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Andreas Wilting, Thanh V. Nguyen, Jan Axtner, An Nguyen, Anke Schmidt, Minh Le, Anh H. Q. Nguyen, Benjamin M. Rawson, Andrew Tilker, and Joerns Fickel
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DNA forensics ,invertebrate‐derived DNA (iDNA) ,phylogeography ,Southeast Asia ,wildlife trade ,Environmental sciences ,GE1-350 ,Microbial ecology ,QR100-130 - Abstract
Abstract Sampling genetic material from rare and often secretive mammals can be difficult in challenging environments such as tropical rainforests. Large‐scale sampling is important however for resolving species' taxonomic uncertainties, as well as to help provide genetic material for reference databases that can be used with DNA forensics to combat the illegal wildlife trade. Environmental DNA (eDNA) and invertebrate‐derived DNA (iDNA) offer a promising way to overcome this sampling bottleneck, though to date e/iDNA studies have been primarily used to obtain information about species presence using barcoding or metabarcoding approaches. In this study, we collected 4,710 terrestrial leeches across six protected areas in the Annamite Mountains of Viet Nam and Laos and sequenced fragments (223–694 bp) of mt‐Cytb and/or mt‐Dcr of the mitogenomes from six species that are frequently found in the illegal wildlife trade. Although amplification success was generally low (
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- 2022
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16. Research on the Impact of Data Density on Memristor Crossbar Architectures in Neuromorphic Pattern Recognition
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Minh Le and Son Ngoc Truong
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pattern recognition ,memristor crossbar circuit ,neuromorphic computing ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
Binary memristor crossbars have great potential for use in brain-inspired neuromorphic computing. The complementary crossbar array has been proposed to perform the Exclusive-NOR function for neuromorphic pattern recognition. The single crossbar obtained by shortening the Exclusive-NOR function has more advantages in terms of power consumption, area occupancy, and fault tolerance. In this paper, we present the impact of data density on the single memristor crossbar architecture for neuromorphic image recognition. The impact of data density on the single memristor architecture is mathematically derived from the reduced formula of the Exclusive-NOR function, and then verified via circuit simulation. The complementary and single crossbar architectures are tested by using ten 32 × 32 images with different data densities of 0.25, 0.5, and 0.75. The simulation results showed that the data density of images has a negative effect on the single memristor crossbar architecture while not affecting the complementary memristor crossbar architecture. The maximum output column current produced by the single memristor crossbar array decreases as data density decreases while the complementary memristor crossbar array architecture provides stable maximum output column currents. When recognizing images with data density as low as 0.25, the maximum output column currents of the single memristor crossbar architecture is reduced four-fold compared with the maximum currents from the complementary memristor crossbar architecture. This reduction causes the Winner-take-all circuit to work incorrectly and will reduce the recognition rate of the single memristor crossbar architecture. These simulation results show that the single memristor crossbar architecture has more advantages compared with the complementary crossbar architecture when the images do have not many different densities, and none of the images have very low densities. This work also indicates that the single crossbar architecture must be improved by adding a constant term to deal with images that have low data densities. These are valuable case studies for archiving the advantages of single memristor crossbar architecture in neuromorphic computing applications.
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- 2023
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17. DbAPE: Denoising-Based APE System for Improving English-Myanmar NMT
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May Myo Zin, Teeradaj Racharak, and Minh Le Nguyen
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Automatic post editing ,pre-trained embeddings ,bilingual dictionary ,word alignment ,denoising ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Automatic post-editing (APE) research aims to investigate methods for correcting systematic errors in machine translation (MT) results. Recent work has shown successful practices of APE for improving MT output quality; however, their effectiveness strongly relies on the availability of large-scale human-created APE triplets. The high production cost of human post-edited data has led to the absence of APE triplets for most language pairs, including English-Myanmar, which has become a limiting factor for the applicability of the APE task. This work investigates how to conduct the APE task on the English-Myanmar MT where human-edited APE triplets are unavailable. We build a denoising-based APE (DbAPE) system using only the monolingual and parallel MT corpora. The system takes the source sentence (src) and the MT output (mt) as inputs and produces the post-edited mt as output by operating the three processes together, including word alignment extraction, enriching mt using the extracted word alignment information, and denoising the enriched-version of mt. We conduct extensive experiments by applying our APE system as a post-processor to the raw output of the existing English-Myanmar MT systems. APE translations produced by DbAPE show statistically significant improvements of at least +4% BLEU and −16% TER points absolute over the original NMT. Moreover, DbAPE can improve the quality of the texts generated by state-of-the-art systems such as mT5 and Google Translate. In addition, we perform word alignment experiments with four types of alignment methods and demonstrate that the proposed multilingual word aligner can achieve robust performance over previous state-of-the-art models.
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- 2022
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18. Multimodal Contrastive In-Context Learning
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Miyanishi, Yosuke and Nguyen, Minh Le
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
The rapid growth of Large Language Models (LLMs) usage has highlighted the importance of gradient-free in-context learning (ICL). However, interpreting their inner workings remains challenging. This paper introduces a novel multimodal contrastive in-context learning framework to enhance our understanding of ICL in LLMs. First, we present a contrastive learning-based interpretation of ICL in real-world settings, marking the distance of the key-value representation as the differentiator in ICL. Second, we develop an analytical framework to address biases in multimodal input formatting for real-world datasets. We demonstrate the effectiveness of ICL examples where baseline performance is poor, even when they are represented in unseen formats. Lastly, we propose an on-the-fly approach for ICL (Anchored-by-Text ICL) that demonstrates effectiveness in detecting hateful memes, a task where typical ICL struggles due to resource limitations. Extensive experiments on multimodal datasets reveal that our approach significantly improves ICL performance across various scenarios, such as challenging tasks and resource-constrained environments. Moreover, it provides valuable insights into the mechanisms of in-context learning in LLMs. Our findings have important implications for developing more interpretable, efficient, and robust multimodal AI systems, especially in challenging tasks and resource-constrained environments.
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- 2024
19. Paediatric COVID-19 mortality: a database analysis of the impact of health resource disparity
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Nick Daneman, John Marshall, Vinod Kumar, Aasiyah Rashan, Jérôme Dimet, Sylvain Diamantis, John F Fraser, Dominique Deplanque, Anne Conrad, François Lellouche, Heidi Gruner, Detlef Kindgen-Milles, Agnes Meybeck, Maxime Hentzien, Clotilde Allavena, André Cabié, Firouzé Bani-Sadr, Patrick Rossignol, Arjen M Dondorp, Rashan Haniffa, Harald Vonkeman, Lionel Piroth, Mathieu Blot, Yaseen Arabi, Marie-Pierre Debray, François Angoulvant, Marc Leone, Maria Zambon, Florentia Kaguelidou, Marc Lambert, Olivier Lairez, Tom Solomon, Carrol Gamble, Laura Marsh, David Richardson, Christiana Kartsonaki, Philippe Jouvet, Asgar Rishu, Eman Al Qasim, Rachael Parke, Srinivas Murthy, Alistair Nichol, Calum Semple, Colin McArthur, Gail Carson, Jake Dunning, Laura Merson, Peter Horby, David Maslove, Nadia Malik, Stephen R Knight, Annelies Verbon, Oana Sândulescu, Patrick Archambault, Paul McNally, Marlene Murris, Aurore Bousquet, Kenneth A McLean, Hugues Cordel, Marc Fabre, Laurence Bouillet, Melissa Parker, Xavier Duval, Amanda Corley, James Lee, Kusum Menon, Christian Rabaud, Paul Klenerman, Jean-François Timsit, Jennifer Lee, Nicolas Terzi, Saad Nseir, Gwenhaël Colin, Steve Webb, Kalynn Kennon, Caroline Mudara, Diana Hernández, Yazdan Yazdanpanah, Elias Iosifidis, Emmanuel Roilides, Yi Lin Lee, Pieter Depuydt, Jean-François Payen, Ana Martins, Samreen Ijaz, Meera Chand, Wei Shen Lim, Bruno Levy, Eric D'ortenzio, Jean-Charles Preiser, Pierre Delobel, Claudia Figueiredo-Mello, Jaques Sztajnbok, Ana Freitas Ribeiro, Tiphaine Goulenok, Bronner P Gonçalves, Arnaud Scherpereel, Chloe Donohue, Carlo Giaquinto, Karolina Nowicka, Adrien Auvet, Debby Bogaert, Elisabeth Botelho-Nevers, Amandine Gagneux-Brunon, Merce Jourdain, Anne McCarthy, Todd C Lee, António Mesquita, Sue Smith, Jia Wei, Jenny Lennon, Antoine Khalil, Nathalie Pansu, Victor Fomin, Audrey Barrelet, Christophe Fraser, Daniel Munblit, Robert A Fowler, William Greenhalf, François-Xavier Lescure, Nicolas Carlier, Saye Khoo, Riinu Pius, Lisa Norman, Louise Sigfrid, Sophie Halpin, Clare Jackson, Antonia Ho, Andrew Dagens, Thomas Flament, Julie Mankikian, Romain Basmaci, Peter Openshaw, Mary Copland, Brenda Reeve, William Dechert, Patricia Lizotte, Felwa Bin Humaid, Tom Fletcher, Adrien Lemaignen, Pierre Tattevin, Christelle Delmas, Hélène Espérou, Claire Lévy-Marchal, Olivier Picone, Jeanne Sibiude, Cecile Yelnik, Olivia V Swann, Michelle Girvan, Piero L Olliaro, Beatrice Alex, Benjamin Bach, Alexander J Mentzer, Mahdad Noursadeghi, Shona C Moore, Massimo Palmarini, Georgios Pollakis, Vanessa Sancho-Shimizu, Shiranee Sriskandan, David Stuart, Charlotte Summers, Ryan S Thwaites, Hayley Hardwick, Wilna Oosthuyzen, Fiona Griffiths, Jo Dalton, Egle Saviciute, Stephanie Roberts, Janet Harrison, Marie Connor, Gary Leeming, Ross Hendry, Victoria Shaw, Jade Ghosn, Lucille Blumberg, Nicolas Benech, James Scott-Brown, Odile Launay, Todd Karsies, Yoan Lavie-Badie, Minh Le, Elise Artaud-Macari, Mylène Maillet, Huda Alfoudri, Djura Piersma, Didier Laureillard, Graham S. Cooke, Nicholas Sedillot, Anne-Sophie Boureau, Tony Trapani, Laurent Abel, Samuel Hinton, Sally Shrapnel, Heidi Dalton, Guillaume Martin-Blondel, Valérie Garrait, Isabelle Delacroix, Samantha Lissauer, Malte Kohns Vasconcelos, Oleksa Rewa, Erlina Burhan, Sara Machado, Jean-Benoît Arlet, Raphaël Borie, Kévin Bouiller, Vincent Langlois, Mélanie Roriz, Mical Paul, Vincent Dubée, Erwan L'her, Michael Rose, Luis Felipe Reyes, Anna Beltrame, Stéphanie Fry, Andrew Udy, Laurent Plantier, Jean-Christophe Goffard, Denis Malvy, Nina Jamieson, Irfan Khan, François Dubos, Jean-Sébastien Hulot, Paola Rodari, Paul Campbell, Abigail Beane, Cécile Tromeur, Paul Loubet, Marina Esposito-Farèse, France Mentré, Valérie Gaborieau, Anne-Marie Guerguerian, Cécile Goujard, Vincent Thibault, Rodrigo Díaz, Patricia Gordon, Sadie Kelly, Bertrand Dussol, Simon Forsyth, Marion Schneider, Nathalie Gault, Marielle Buisson, Yves Levy, Prasan Kumar Panda, Marjolein Brusse-Keizer, Carine Roy, Walter Picard, Tom Drake, Paul Tierney, Olivier Sanchez, Antoine Kimmoun, David Thomson, Nathan Peiffer-Smadja, Julien Poissy, Lila Bouadma, Bruno Lina, Maude Bouscambert, Alexandre Gaymard, Gilles Peytavin, Jeremie Guedj, Claire Andrejak, Cedric Laouenan, Anissa Chair, Samira Laribi, Marie-Capucine Tellier, Sandrine Couffin-Cadiergues, Soizic Le Mestre, Ventzislava Petrov-Sanchez, Alpha Diallo, NoéMie Mercier, Sarah Tubiana, Marion Noret, Oriane Puechal, Caroline Semaille, Patrick Imbert, Jonathan Remppis, Emmanuelle Mercier, Rui Pereira, Sylvie Van Der Werf, Waasila Jassat, Arsene Kpangon, Dominique Luton, Sophie Mahy, Pierre-Adrien Bolze, Sarah Moore, Adrienne Chan, Raphael Favory, Daniel Mathieu, Andrea Angheben, Andrea Rossanese, Matthew Hall, Johann Auchabie, Mohammed Quraishi, Katharina Weil, Hanna Renk, Hans Martin Bosse, Christophe Rapp, Vincent Peigne, Tae Song, Dewi Guellec, Mark G. Pritchard, Adrian Streinu-Cercel, Christl A Donnelly, François Goehringer, Elodie Curlier, Catherine Chirouze, Stéphane Jaureguiberry, Ary Serpa Neto, Jose Andres Calvache, Laurent Bitker, Hodane Yonis, Neerusha Kaisbain, Coline Jaud-Fischer, Laurent Mandelbrot, Jérémie Pasquier, Juliette Patrier, Gianluigi Li Bassi, Sheryl Ann Abdukahil, Jia Shyi Loy, Filipe Cardoso, Diptesh Aryal, Polina Bugaeva, Evert-Jan Wils, Stephanie Yerkovich, Julie Chas, Thushan de Silva, Ruth Lyons, Murray Wham, Sara Clohisey, Seán Keating, Thibault Chiarabini, Agnes Sommet, Hugues Aumaître, Sylvie LeGac, Sarah E McDonald, Jeanne Truong, Camille Couffignal, Anne-Hélène Boivin, Timo Brandenburger, Diane Descamps, Tala Al-Dabbous, Mark Joseph, Hwa Jin Cho, Desy Rusmawatiningtyas, Muhammad Rayhan, Christel Arnold-Day, Navy Lolong, Ernita Akmal, Menaldi Rasmin, Daniel Marino, Neurinda Permata Kusumastuti, Stéphane Lasry, Amanda Rojek, Sebastien Preau, Jean-Marie Turmel, Nowneet Kumar Bhat, Cynthia Braga, Pavan Kumar Vecham, Benoit Thill, Karine Faure, Denis Garot, Grégory Corvaisier, Elsa Nyamankolly, Joshua Solomon, Emma Clarke, Patricia Fontela, Eva Geraud, Eva Miranda Marwali, Aria Kekalih, Saptadi Yuliarto, Dyah Kanya Wati, Ivy Cerelia Valerie, Maureen Masha, Jolanta Popielska, Anca Streinu-Cercel, Mohan Dass Pathmanathan, Barbara Wanjiru Citarella, Heidi Jean Dalton, Nurul Najmee Abdulkadir, Lara Absil, Subhash Acharya, Diana Adrião, Younes Ait Tamlihat, Kévin Alexandre, Kazali Enagnon Alidjnou, Nathalie Allou, Rita Alves, Joana Alves Cabrita, Maria Amaral, Nur Amira, Phoebe Ampaw, Séverine Ansart, Sivanesen Anthonidass, Carlos Alexandre Brito, Ardiyan Apriyana, Carolline Araujo, Muhammad Ashraf, Jean Baptiste Assie, Amirul Asyraf, Anika Atique, AM Udara Attanyake, Laurène Azemar, Cecile Azoulay, Delphine Bachelet, Claudine Badr, J. Kenneth Baillie, Nazreen Abu Bakar, Mohanaprasanth Balakrishnan, Valeria Balan, Renata Barbalho, Wendy S. Barclay, Saef Umar Barnett, Marie Bartoli, Joaquín Baruch, Muhammad Fadhli Basri, Jules Bauer, Diego Fernando Rincon, Alexandra Bedossa, Ker Hong Bee, Husna Begum, Sylvie Behilill, Albertus Beishuizen, Marine Beluze, Lionel Eric Benjiman, Dehbia Benkerrou, Delphine Bergeaud, José Luis Sobrino, Giulia Bertoli, Simon Bessis, Sybille Bevilcaqua, Karine Bezulier, Krishna Bhavsar, Farah Nadiah Bidin, Mohd Nazlin Kamarudin, François Bissuel, Jonathan Bitton, Laetitia Bodenes, Isabela Bolaños, François Bompart, Diogo Borges, Olivier Bouchaud, Sabelline Bouchez, Dounia Bouhmani, Damien Bouhour, Camile Bouisse, Jason Bouziotis, Bianca Boxma, Marielle Boyer-Besseyre, Fernando Augusto Bozza, Axelle Braconnier, Kathy Brickell, Aidan Burrell, Ingrid G Bustos, Denis Butnaru, Eder Caceres, Cyril Cadoz, Rui Caetano Garcês, Valentine Campana, Pauline Caraux-Paz, Chiara Simona Cardellino, Sofia Cardoso, Filipa Cardoso, Thierry Carmoi, Marie-Christine Carret, François Martin Carrier, Maire-Laure Casanova, Mariana Cascão, José Casimiro, Nidyanara Castanheira, Guylaine Castor-Alexandre, François-Xavier Catherine, Paolo Cattaneo, Roberta Cavalin, Minerva Cervantes-Gonzalez, Catherine Chakveatze, Christelle Chantalat Auger, Jean-Marc Chapplain, Anjellica Chen, Matthew Pellan Cheng, Antoine Cheret, Julian Chica, Suresh Kumar Chidambaram, Leong Chin Tho, Bernard Cholley, Marie-Charlotte Chopin, Ting Soo Chow, Hiu Jian Chua, Jonathan Chua, Alexandra Coelho, Megan Coles, Pamela Combs, Sabine Cornelis, Alexander Daniel Cornet, Arianne Joy Corpuz, Emma Costigan, Roxane Courtois, Stéphanie Cousse, Rachel Cregan, Sabine Croonen, Claudina Cruz, Juan Luis Bermúdez, Jaime Cruz Rojo, Paula Custodio, Ana Silva Filipe, Charlene Da Silveira, Juliana Damas, Corinne Daniel, Emmanuelle A Dankwa, Jorge Dantas, Etienne De Montmollin, Rafael Freitas França, Peter de Vries, Jillian Deacon, Alexa Debard, Nathalie DeCastro, Lauren Deconninck, Romain Decours, Eve Defous, Eric Delaveuve, Karen Delavigne, Corine Delsing, Elisa Demonchy, Emmanuelle Denis, Mathilde Desvallées, Santi Dewayanti, Pathik Dhanger, André Dias, Kévin Didier, Jean-Luc Diehl, Wim Dieperink, Vincent Dinot, Fara Diop, Alphonsine Diouf, Yael Dishon, Félix Djossou, Annemarie B. Docherty, Maria Donnelly, Céline Dorival, James Joshua Douglas, Nathalie Dournon, Murray Dryden, Claudio Duarte Fonseca, Alexandre Ducancelle, Paul Dunand, Sim Choon Ean, Mohammed El Sanharawi, Brigitte Elharrar, Philippine Eloy, Isabelle Enderle, Chan Chee Eng, Ilka Engelmann, Vincent Enouf, Olivier Epaulard, Martina Escher, Catarina Espírito Santo, João Estevão, Manuel Etienne, Nadia Ettalhaoui, Mirjam Evers, Isabelle Fabre, Amna Faheem, Arabella Fahy, Cameron J. Fairfield, Pedro Faria, Ahmed Farooq, Hanan Fateena, Jorge Fernandes, Marília Andreia Fernandes, François-Xavier Ferrand, Eglantine Ferrand Devouge, Joana Ferrão, Mário Ferraz, Bernardo Ferreira, Nicolas Ferriere, Céline Ficko, Clara Flateau, Tatiana Fonseca, Erwan Fourn, Robert A. Fowler, Marcela Vieira Freire, Rostane Gaci, Jean-Charles Gagnard, Yasmin Gani, Noelia García Barrio, Esteban Garcia-Gallo, Louis Gerbaud Morlaes, Nuno Germano, Jess Gibson, Tristan Gigante, Morgane Gilg, Guillermo Giordano, Valérie Gissot, Daniel Glikman, Petr Glybochko, Geraldine Goco, Siri Goepel, Jin Yi Goh, Marie Gominet, Bronner P. Gonçalves, Isabelle Gorenne, Laure Goubert, Pascal Granier, Christopher A. Green, Courtney Greene, Segolène Greffe, Albert Groenendijk, Anja Grosse Lordemann, Yusing Gu, Martin Guego, Daniela Guerreiro, Romain Guery, Anne Guillaumot, Laurent Guilleminault, Thomas Guimard, Marieke Haalboom, Daniel Haber, Hannah Habraken, Ali Hachemi, Nadir Hadri, Fakhir Haidri, Ansley Hamer, Rebecca Hamidfar, Lim Yuen Han, Kok Wei Hao, Ewen M. Harrison, Lars Heggelund, Astarini Hidayah, Rupert Higgins, Hikombo Hitoto, Yi Bin Ho, Alexandre Hoctin, Isabelle Hoffmann, Wei Han Hoh, Ikram Houas, Catherine L. Hough, Jimmy Ming-Yang Hsu, Arfan Ikram, Hajnal-Gabriela Illes, Hugo Inácio, Yun Sii Ing, Sarah Isgett, Tiago Isidoro, Nadiah Ismail, Margaux Isnard, Danielle Jaafar, Salma Jaafoura, Julien Jabot, Pierre Jaquet, Florence Jego, Anilawati Mat Jelani, Ong Yiaw Joe, Cédric Joseph, Swosti Joshi, Dafsah Juzar, Ouifiya Kafif, Thavamany Kaleesvran, Sabina Kali, Muhammad Aisar Kamaluddin, Zul Amali Kamaruddin, Nadiah Kamarudin, Kong Yeow Kang, Pratap Karpayah, Anant Kataria, Kevin Katz, Yvelynne Kelly, Younes Kerroumi, Sharma Keshav, Coralie Khan, Quratul Ain Khan, Sushil Khanal, Abid Khatak, Ryan Khoo, Denisa Khoo, Khor How Kiat, Peter Kiiza, Rob Klont, Gry Kloumann Bekken, Robin Kobbe, Chamira Kodippily, Vinothini Krishnan, Ganesh Kumar, Bharath Kumar Vijayaraghavan, Demetrios Kutsogiannis, Marie Lachatre, Marie Lacoste, Marie Lagrange, Fabrice Laine, Antonio Lalueza, Marie Langelot-Richard, Marina Lanza, Delphine Lariviere, Andy Law, Teresa Lawrence, Clément Le Bihan, Cyril Le Bris, Georges Le Falher, Lucie Le Fevre, Quentin Le Hingrat, Marion Le Maréchal, Gwenaël Le Moal, Vincent Le Moing, Hervé Le Nagard, Paul Le Turnier, Ema Leal, Marta Leal Santos, Heng Gee Lee, Biing Horng Lee, Laurent Lefebvre, Bénédicte Lefebvre, Benjamin Lefèvre, Jean-Daniel Lelievre, Véronique Lemee, Anthony Lemeur, Ha Sha Lene, Quentin Lepiller, Olivier Lesens, Mathieu Lesouhaitier, Geoffrey Liegeon, Kah Chuan Lim, Lim Lina, Guillaume Lingas, Sylvie Lion-Daolio, Marine Livrozet, Leong Chee Loon, Diogo Lopes, Anthony L. Loschner, Bouchra Loufti, Guillame Louis, Lee Lee Low, Marije Lowik, Jean Christophe Lucet, Carlos Lumbreras Bermejo, Liem Luong, Oryane Mabiala, Moïse Machado, Gabriel Macheda, Hashmi Madiha, Guillermo Maestro de la Calle, Rafael Mahieu, Thomas Maitre, Fernando Maltez, Victoria Manda, Jose M. Mandei, Edmund Manning, Aldric Manuel, Ceila Sant'Ana Malaque, Samuel Markowicz, Celina Turchi Martelli, Martin Martinot, Caroline Martins Rego, Marsilla Marzukie, Sabina Mason, Sobia Masood, Basri Mat Nor, Moshe Matan, Mathieu Mattei, Romans Matulevics, Laurence Maulin, Thierry Mazzoni, Cécile Mear-Passard, Ogechukwu Menkiti, Antoine Merckx, Mayka Mergeay-Fabre, Alison M. Meynert, Vanina Meysonnier, Amina Meziane, Mehdi Mezidi, Céline Michelanglei, Isabelle Michelet, Nor Arisah Misnan, Tahira Jamal Mohamed, Nik Nur Mohamed, Asma Moin, Agostinho Monteiro, Claudia Montes, Lina Morales Cely, Lucia Moro, Hugo Mouquet Ben Morton, Clara Mouton Perrot, Julien Moyet, Ng Yong Muh, Dzawani Muhamad, Jimmy Mullaert, Karl Erik Müller, Himed Musaab, Himasha Muvindi, Gugapriyaa Muyandy, Nadège Neant, Nikita Nekliudov, Raul Neto, Anthony Nghi, Duc Nguyen, Nurul Amani Noordin, Nurul Faten Norharizam, Nurnaningsih Nurnaningsih, Annmarie O'Callaghan, Katie O'Hearn, Agnieszka Oldakowska, Piero L. Olliaro, David S.Y. Ong, Jee Yan Ong, Saijad Orakzai, Claudia Milena Orozco-Chamorro, Linda O'Shea, Siti Zubaidah Othman, Nadia Ouamara, Rachida Ouissa, Eric Oziol, Justine Pages Maïder Pagadoy, Lai Hui Pang, Aurélie Papadopoulos, Bruno Pastene, Christelle Paul, Jorge Paulos, William A. Paxton, Kalaiarasu Peariasamy, Miguel Pedrera Jiménez, Florent Peelman, Ithan D. Peltan, Daniel Perez, Thomas Perpoint, Vincent Pestre, Michele Petrovic, Scott Pharand, Carola Pierobon, Carlos Pimentel, Raquel Pinto, Catarina Pires, Isabelle Pironneau, Hon Shen Png, Ryadh Pokeerbux, Maria Pokorska-Spiewak, Diane Ponscarme, Douwe F. Postma, Diana Póvoas, Gamage Dona Priyadarshani, Vilmaris Quinones-Cardona, Víctor Quirós González, Marie Rafiq, Rozanah Abd Rahman, Ahmad Kashfi Rahman, Giri Shan Rajahram, Nagarajan Ramakrishnan, José Ramalho, Ahmad Afiq Ramli, Blandine Rammaert, Grazielle Viana Ramos, Thalha Rashan, Cornelius Rau, Tharmini Ravi, Stanislas Rebaudet, Sarah Redl, Attaur Rehman, Martine Remy, Hongru Ren, Anne-Sophie Resseguier, Matthieu Revest, Laurent Richier, Siti Nurul Ridzuan, Ana L Rios, Patrick Rispal, Karine Risso, David L. Robertson, Olivier Robineau, Pierre-Marie Roger, Juliette Romaru, Manuel Rosa-Calatrava, Bénédicte Rossignol, Stella Rousset, Benoît Roze, Clark D. Russell, Musharaf Sadat, Valla Sahraei, Maximilien Saint-Gilles, Stéphane Sallaberry, Charlotte Salmon Gandonniere, Hélène Salvator, Zulfiqar Sandhu, Pierre-François Sandrine, Shirley Sarfo-Mensah, Benjamine Sarton, Parthena Savvidou, Yen Tsen Saw, Janet T. Scott, Jaganathan Selvanayagam, Mageswari Selvarajoo, Malcolm G. Semple, Rasidah Bt Senian, Eric Senneville, Tânia Sequeira, Pablo Serrano Balazote, Ellen Shadowitz, Syamin Asyraf Shahidan, Mohammad Shamsah, Shaikh Sharjeel, Catherine A. Shaw, Ashraf Sheharyar, Mohiuddin Shiekh, Nassima Si Mohammed, Ng Yong Siang, Benedict Sim Heng, Karisha Sivam, Morgane Snacken, Tze Vee Soh, Rima Song, Azlan Mat Soom, Albert Sotto, B. P Edouard Soum, Sanka Sri Darshana, Sarah Stabler, Ymkje Stienstra, Jacky Y. Suen, Deepashankari Suppiah, Andrey Svistunov, Sarah Syahrin, Shirin Tabrizi, Fabio S. Taccone, Lysa Tagherset, Shahdattul Mawarni Taib, Ewa Talarek, Kim Keat Tan, Yan Chyi Tan, Coralie Tardivon, M Azhari Taufik, Richard S. Tedder, Tze Yuan Tee, João Teixeira, Sze Kye Teoh, François Téoulé, Olivier Terrier, Hubert Tessier-Grenier, Alif Adlan Thabit, Zhang Duan Tham, Suvintheran Thangavelu, Simon-Djamel Thiberville, Jananee Thirumanickam, Emma C. Thomson, Surain Raaj Thurai, Peter S Timashev, Noémie Tissot, Jordan Zhien Toh, Sia Loong Tonnii, Marta Torre, Margarida Torres, Théo Treoux, Tiffany Trouillon, Christelle Tual, Lance C.W. Turtle, PG Ishara Udayanga, Timothy M. Uyeki, Luís Val-Flores, Amélie Valran, Marcel van den Berge, Job van der Palen, Paul van der Valk, Peter Van der Voort, Jarne Van Hattem, Carolien van Netten, Ilonka van Veen, Noémie Vanel, Shoban Raj Vasudayan, Charline Vauchy, Shaminee Veeran, Aurélie Veislinger, James Vickers, José Ernesto Vidal, César Vieira, Benoit Visseaux, Fanny Vuotto, Noor Hidayu Wahab, Suhaila Abdul Wahab, Nadirah Abdul Wahid, Tan Pei Wen, Sanne Wesselius, Nicole White, Paul Henri Wicky, Aurélie Wiedemann, Calvin Wong, Xin Ci Wong, Yew Sing Wong, Teck Fung Wong, Gan Ee Xian, Lim Saio Xian, Kuan Pei Xuan, Siti Rohani Yakop, Nicholas Yee Hing, Chian Hui Yeoh, Obada Yousif, Marion Zabbe, Masliza Zahid, Maram Zahran, Nor Zaila Zaidan, Konrad Zawadka, Nurul Zaynah, Hiba Zayyad, and David Zucman
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Pediatrics ,RJ1-570 - Abstract
Background The impact of the COVID-19 pandemic on paediatric populations varied between high-income countries (HICs) versus low-income to middle-income countries (LMICs). We sought to investigate differences in paediatric clinical outcomes and identify factors contributing to disparity between countries.Methods The International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC) COVID-19 database was queried to include children under 19 years of age admitted to hospital from January 2020 to April 2021 with suspected or confirmed COVID-19 diagnosis. Univariate and multivariable analysis of contributing factors for mortality were assessed by country group (HICs vs LMICs) as defined by the World Bank criteria.Results A total of 12 860 children (3819 from 21 HICs and 9041 from 15 LMICs) participated in this study. Of these, 8961 were laboratory-confirmed and 3899 suspected COVID-19 cases. About 52% of LMICs children were black, and more than 40% were infants and adolescent. Overall in-hospital mortality rate (95% CI) was 3.3% [=(3.0% to 3.6%), higher in LMICs than HICs (4.0% (3.6% to 4.4%) and 1.7% (1.3% to 2.1%), respectively). There were significant differences between country income groups in intervention profile, with higher use of antibiotics, antivirals, corticosteroids, prone positioning, high flow nasal cannula, non-invasive and invasive mechanical ventilation in HICs. Out of the 439 mechanically ventilated children, mortality occurred in 106 (24.1%) subjects, which was higher in LMICs than HICs (89 (43.6%) vs 17 (7.2%) respectively). Pre-existing infectious comorbidities (tuberculosis and HIV) and some complications (bacterial pneumonia, acute respiratory distress syndrome and myocarditis) were significantly higher in LMICs compared with HICs. On multivariable analysis, LMIC as country income group was associated with increased risk of mortality (adjusted HR 4.73 (3.16 to 7.10)).Conclusion Mortality and morbidities were higher in LMICs than HICs, and it may be attributable to differences in patient demographics, complications and access to supportive and treatment modalities.
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- 2022
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20. Using terrestrial leeches to assess the genetic diversity of an elusive species: The Annamite striped rabbit Nesolagus timminsi
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Thanh V. Nguyen, Andrew Tilker, An Nguyen, Lisa Hörig, Jan Axtner, Anke Schmidt, Minh Le, Anh H. Q. Nguyen, Benjamin M. Rawson, Andreas Wilting, and Joerns Fickel
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Annamite striped rabbit ,Lagomorpha ,genetic diversity ,invertebrate‐derived DNA (iDNA) ,Laos ,leech ,Environmental sciences ,GE1-350 ,Microbial ecology ,QR100-130 - Abstract
Abstract Information on geographic patterns of species genetic diversity is often needed to inform conservation strategies. Obtaining data over large geographic areas can be difficult, especially for rare or elusive species. Here, we explore the use of invertebrate‐derived DNA (iDNA) obtained from terrestrial leeches to assess genetic diversity of the Annamite striped rabbit Nesolagus timminsi, a little‐known and highly threatened lagomorph endemic to the Annamites ecoregion of Vietnam and Laos. We collected 4,877 leeches pooled into 651 leech bulk samples from eight study areas across the northern and central Annamites. Using metabarcoding, we detected Annamite striped rabbit DNA in 11 leech bulk samples from five of the study areas. We amplified up to 3,000 bp of six mitochondrial DNA loci of Annamite striped rabbit from nine of the 11 bulk samples. Haplotype network analyses showed five shared haplotypes among these samples. Phylogenetic trees constructed using maximum likelihood and Bayesian inference showed little geographic structuring among the Annamite striped rabbit populations across the five study areas. Our results provide information that can be directly used to inform planned ex situ conservation measures for the Annamite striped rabbit. We discuss our results within the context of using iDNA to noninvasively obtain data to assess species genetic diversity, and the potential of this approach to be applied to other species and systems.
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- 2021
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21. Technical efficiency of Vietnamese manufacturing firms: do FDI spillovers matter?
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Canh Nguyen, Minh Le, Khoa Cai, and Michel Simioni
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meta-frontier framework ,meta translog inefficiency ,backward ,forward, and horizontal linkage ,foreign direct investment ,vietnam ,Business ,HF5001-6182 - Abstract
This paper investigates the spillover effect (backward, forward, and horizontal linkage) of foreign direct investment (FDI) firms on the technical efficiency of local firms. This research extends the literature by employing meta-frontier framework analysis which is superior to single stochastic analysis because each industry has a different combination of inputs (or dissimilar production technology). Using a large data set (178,700 firm-year observations), this paper finds evidence on the negative impact of the horizontal and forward linkages on the meta-technical inefficiency for the data set as a whole as well as in three economic regions, in private owned firms, and capital and labor-intensive sectors in Vietnam.
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- 2021
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22. Semi-Supervised Learning for Anomaly Detection in Blockchain-based Supply Chains
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Son, Do Hai, Manh, Bui Duc, Khoa, Tran Viet, Trung, Nguyen Linh, Hoang, Dinh Thai, Minh, Hoang Trong, Alem, Yibeltal, and Minh, Le Quang
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Computer Science - Cryptography and Security - Abstract
Blockchain-based supply chain (BSC) systems have tremendously been developed recently and can play an important role in our society in the future. In this study, we develop an anomaly detection model for BSC systems. Our proposed model can detect cyber-attacks at various levels, including the network layer, consensus layer, and beyond, by analyzing only the traffic data at the network layer. To do this, we first build a BSC system at our laboratory to perform experiments and collect datasets. We then propose a novel semi-supervised DAE-MLP (Deep AutoEncoder-Multilayer Perceptron) that combines the advantages of supervised and unsupervised learning to detect anomalies in BSC systems. The experimental results demonstrate the effectiveness of our model for anomaly detection within BSCs, achieving a detection accuracy of 96.5%. Moreover, DAE-MLP can effectively detect new attacks by improving the F1-score up to 33.1% after updating the MLP component.
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- 2024
23. W2E (Workout to Earn): A Low Cost DApp based on ERC-20 and ERC-721 standards
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Son, Do Hai, Hao, Nguyen Danh, Quynh, Tran Thi Thuy, and Minh, Le Quang
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Computer Science - Software Engineering - Abstract
Decentralized applications (DApps) have gained prominence with the advent of blockchain technology, particularly Ethereum, providing trust, transparency, and traceability. However, challenges such as rising transaction costs and block confirmation delays hinder their widespread adoption. In this paper, we present our DApp named W2E - Workout to Earn, a mobile DApp incentivizing exercise through tokens and NFT awards. This application leverages the well-known ERC-20 and ERC-721 token standards of Ethereum. Additionally, we deploy W2E into various Ethereum-based networks, including Ethereum testnets, Layer 2 networks, and private networks, to survey gas efficiency and execution time. Our findings highlight the importance of network selection for DApp deployment, offering insights for developers and businesses seeking efficient blockchain solutions. This is because our experimental results are not only specific for W2E but also for other ERC-20 and ERC-721-based DApps.
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- 2024
24. A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations
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Wang, Yao, Liu, Xin, Kong, Weikun, Yu, Hai-Tao, Racharak, Teeradaj, Kim, Kyoung-Sook, and Nguyen, Minh Le
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Named Entity Recognition and Relation Extraction are two crucial and challenging subtasks in the field of Information Extraction. Despite the successes achieved by the traditional approaches, fundamental research questions remain open. First, most recent studies use parameter sharing for a single subtask or shared features for both two subtasks, ignoring their semantic differences. Second, information interaction mainly focuses on the two subtasks, leaving the fine-grained informtion interaction among the subtask-specific features of encoding subjects, relations, and objects unexplored. Motivated by the aforementioned limitations, we propose a novel model to jointly extract entities and relations. The main novelties are as follows: (1) We propose to decouple the feature encoding process into three parts, namely encoding subjects, encoding objects, and encoding relations. Thanks to this, we are able to use fine-grained subtask-specific features. (2) We propose novel inter-aggregation and intra-aggregation strategies to enhance the information interaction and construct individual fine-grained subtask-specific features, respectively. The experimental results demonstrate that our model outperforms several previous state-of-the-art models. Extensive additional experiments further confirm the effectiveness of our model.
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- 2024
25. LAS: A combination of the analytic signal amplitude and the generalised logistic function as a novel edge enhancement of magnetic data
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Luan Thanh PHAM, Erdinc OKSUM, Thanh Duc DO, Minh LE-HUY, Minh Duc VU, and Vinh Duc NGUYEN
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generalised logistic function, analytic signal amplitude, edge detection ,Geodesy ,QB275-343 ,Geophysics. Cosmic physics ,QC801-809 - Abstract
In the evaluation of magnetic field data, edge enhancement and detection techniques are important treatments for the interpretation of geological structures. In general geological sense, contiguity of deep and shallow magnetic sources leads to weak and intense anomalies that complicates the interpretation to disclose adjacent anomalous sources. Many of the existing filters for edge detection in magnetics mostly have the disadvantage that they require a reduction to pole transformation as the pre-process of the data or they cannot balance weak and intense anomalies and therefore fail in detecting edges of deep and shallow sources simultaneously. This study presents an improved edge detection filter LAS (logistic function of the analytical signal), based on the generalised logistic function configured by the ratio of derivatives of the analytical signal. This novel approach has the capability of reducing the dependence on the direction of the magnetization and also balancing anomalies of sources at different levels of depth. The feasibility of the method is examined on both theoretical and real data cases comparatively with some other methods that utilize the analytical signal in their basis. In comparison, the results demonstrate that the LAS method provides more accurate estimation of edge localization.
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- 2019
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26. Validating the Vietnamese version of wearing – Off 19 questionnaire for patients with Parkinson's disease
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Uyen Le Ngoc Ha, Tai Ngoc Tran, Minh Le, Thuong Huyen Thi Dang, Nhi Anh Vũ, and Daniel Truong
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Parkinson's disease ,Wearing off ,Treatment ,Levodopa ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Background: One of the most common complication of the progression of Parkinson's disease (PD) is the wearing off phenomenon. A validated Vietnamese version of Wearing off 19 (WO19) questionnaire is necessary to optimize the Vietnamese PD treatment. Objectives: This study was undertaken to determine the quality attribute of the questionnaire as a tool for early detection of wearing off (WO) in Vietnamese population with PD. We also sought the relationship between the WO phenomenon and factors concerning the clinical condition and course of the disease. Subjects and methods: This is an observational, cross-sectional study. Patients diagnosed with PD under dopaminergic treatment came to University Medical Center Ho Chi Minh city for a regular appointment were sequentially asked to complete the Vietnamese WO19 questionnaire. A neurologist specialized in movement disorders assessed the patient and determined whether he had experienced wearing off or not. The questionnaire results were then compared to the clinical opinion of the expert which is considered the gold standard for diagnosing wearing off. The reliability of the questionnaire is evaluated by Cronbach'α and Cohen’s kappa coefficient. The validity is measured by the sensitivity and the specificity of the instrument compared to the gold standard. The multivariate logistic regression analysis is used to learn the relations of associated factors and wearing off phenomenon. Results: 98 patients with the mean age 59.12 ± 10.99 have joined our study; 58.2% are male; and the mean disease duration is 6.32 years. The Vietnamese version of the WO19 questionnaire has a good reliability (Cronbach'α = 0.778) and the agreement with the expert assessment (the diagnostic accuracy) is at a substantial level (Kappa value = 0.618). The sensitivity and specificity of the questionnaire resulted 89.28% and 71.43% respectively. The multivariate logistic regression analysis revealed a long disease duration (≥6 years) (OR: 16.96; 95% CI: 2.17–132.57; p = 0.007), a high daily levodopa dosage (≥400 mg/day) (OR: 6.31; 95% CI: 1.36–29.23; p = 0.019) and high score of MDS-UPDRS part IV (≥4) (OR: 15.36; 95% CI: 2.13–110.58; p = 0.007) were independent predictive factors for wearing off in Vietnamese PD patients. Conclusions: Vietnamese – WO19 is a reliable and effective tool which should be used in clinical practice for early detecting PD patients with wearing off.
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- 2019
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27. Novel Approach to Ensure Safe Power Supply for Safety-Relevant Consumers
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Lars Braun, Minh Le, Jürgen Motz, and Kai Peter Birke
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safety concept ,diagnostics ,powernet ,power supply system ,wiring harness ,safety battery ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 ,Industrial electrochemistry ,TP250-261 - Abstract
The 12 V powernet in vehicles must fulfill certain safety requirements due to the safety demand of consumers. A potential risk is undervoltage for a safety-relevant consumer, which leads to its fault. Therefore, a novel approach is presented in this study, which can predict the minimum terminal voltage for consumers. This consists of diagnostics of the wiring harness and of the lead-acid battery as well as predefined consumer currents. Using simulation, first the beginning of a drive cycle is simulated to determine the state of the powernet, and afterwards a critical driving maneuver is simulated to validate the predicted minimum terminal voltage. It demonstrates that the novel approach is able to predict a fault due to undervoltage. In addition to fulfilling safety requirements, the novel approach could be used to achieve additional availability and miniaturization of powernet components compared to the state of the art.
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- 2022
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28. RANDAO-based RNG: Last Revealer Attacks in Ethereum 2.0 Randomness and a Potential Solution
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Son, Do Hai, Quynh, Tran Thi Thuy, and Minh, Le Quang
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Computer Science - Cryptography and Security - Abstract
Ethereum 2.0 is a major upgrade to improve its scalability, throughput, and security. In this version, RANDAO is the scheme to randomly select the users who propose, confirm blocks, and get rewards. However, a vulnerability, referred to as the `Last Revealer Attack' (LRA), compromises the randomness of this scheme by introducing bias to the Random Number Generator (RNG) process. This vulnerability is first clarified again in this study. After that, we propose a Shamir's Secret Sharing (SSS)-based RANDAO scheme to mitigate the LRA. Through our analysis, the proposed method can prevent the LRA under favorable network conditions.
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- 2024
29. Electrochemical Properties and Ex Situ Study of Sodium Intercalation Cathode P2/P3-NaNi1/3Mn1/3Co1/3O2
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Minh Le Nguyen, Hoang Van Nguyen, Man Van Tran, and Phung My Loan Le
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Chemistry ,QD1-999 - Abstract
In recent work, P2/P3-NaNi1/3Mn1/3Co1/3O2 (NaNMC) was obtained by the sol-gel process followed by calcination of the precursor at 900°C for 12 h. The electrochemical properties of NaNMC were investigated in the voltage range of 2.0–4.0 V. The material exhibited an initial discharge capacity of 107 mAh·g−1 and good capacity retention of 82.2% after 100 cycles. Ex situ XRD performance showed that the P3-phase transformed from the P3- to O1-phase and vice versa, while the P2-phase remained stable during the sodium intercalation. The kinetic of sodium intercalation of NaNMC upon reversible Na+ insertion/deinsertion was evaluated via a Galvanostatic Intermittence Titration Technique (GITT) and Electrochemical impedance spectroscopy (EIS). The diffusion coefficients of Na+ ion deduced from the GITT curve have a broad distribution ranging from 10−10 to 10−11 cm2·s−1 for the charging/discharging process. Besides, the evolution of diffusion coefficient and charge transfer resistance is consistent with the complex phase transition generally observed in sodium layered oxides.
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- 2021
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30. School-based, two-arm, parallel, controlled trial of a culturally adapted resilience intervention to improve adolescent mental health in Vietnam: study protocol
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Jayne Orr, Ian Shochet, Astrid Wurfl, Nga Nguyen, Nga La, Hau Nguyen, Ruby Stocker, and Minh Le
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Medicine - Abstract
Introduction The Resourceful Adolescent Program (RAP) is an evidence-based resilience intervention for adolescents. Operating in a strength-focused paradigm, the programme uses an integration of cognitive behavioural therapy and interpersonal psychotherapy to improve coping skills and build resilience. This study aims to establish whether a culturally and linguistically adapted intervention informed by RAP principles is effective in increasing resilience, enhancing coping skills and preventing symptoms of depression and anxiety.Methods and analysis We will translate, back-translate and culturally adapt the RAP for adolescents and training materials for facilitators, and the adapted intervention will be called Happy House. A two-arm parallel controlled trial will be conducted in eight high schools in the north of Vietnam. In each of the selected schools, all students from four randomly selected grade 10 classes (an estimation of about 1204 students) will be invited to participate. The control group will receive the usual curriculum. The intervention group will receive six weekly 90 min school-based group sessions of Happy House in addition to the usual curriculum. The primary outcome, depressive symptoms, will be measured using a locally validated version of the Centre for Epidemiologic Studies Depression Scale Revised. Secondary outcomes are mental well-being, coping self-efficacy, school connectedness, anger management and health risk behaviours. Data will be collected at recruitment, and at two weeks and six months post intervention. Mixed-effect logistic regression for the main outcome and mixed-effect linear and logistic regression models for the secondary outcomes will be conducted to estimate the effects of the intervention on the outcomes.Ethics and dissemination This trial has been approved by Monash University Human Research Ethics Committee (No. 21455) and the Institutional Review Board of the Hanoi School of Public Health (488/2019/YTCC-HD3). Dissemination of findings will include peer-reviewed publications, international and national conferences, seminar and media presentations, national policy briefings in Vietnam, local language reports and lay language summaries for participants.Trial registration numbers Registered with the Australian New Zealand Clinical Trials Registry, registration number: ACTRN12620000088943 (3/2/2020).WHO Universal Trial Number: U1111-1246-4079.
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- 2020
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31. Scalable probabilistic PCA for large-scale genetic variation data.
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Aman Agrawal, Alec M Chiu, Minh Le, Eran Halperin, and Sriram Sankararaman
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Genetics ,QH426-470 - Abstract
Principal component analysis (PCA) is a key tool for understanding population structure and controlling for population stratification in genome-wide association studies (GWAS). With the advent of large-scale datasets of genetic variation, there is a need for methods that can compute principal components (PCs) with scalable computational and memory requirements. We present ProPCA, a highly scalable method based on a probabilistic generative model, which computes the top PCs on genetic variation data efficiently. We applied ProPCA to compute the top five PCs on genotype data from the UK Biobank, consisting of 488,363 individuals and 146,671 SNPs, in about thirty minutes. To illustrate the utility of computing PCs in large samples, we leveraged the population structure inferred by ProPCA within White British individuals in the UK Biobank to identify several novel genome-wide signals of recent putative selection including missense mutations in RPGRIP1L and TLR4.
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- 2020
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32. Real-Time Magnetic Tracking and Diagnosis of COVID-19 via Machine Learning
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Nguyen, Dang, Huynh, Phat K., Bui, Vinh Duc An, Hwang, Kee Young, Jain, Nityanand, Nguyen, Chau, Minh, Le Huu Nhat, Van Truong, Le, Nguyen, Xuan Thanh, Nguyen, Dinh Hoang, Dung, Le Tien, Le, Trung Q., and Phan, Manh-Huong
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Computer Science - Machine Learning ,Physics - Instrumentation and Detectors ,Physics - Medical Physics - Abstract
The COVID-19 pandemic underscored the importance of reliable, noninvasive diagnostic tools for robust public health interventions. In this work, we fused magnetic respiratory sensing technology (MRST) with machine learning (ML) to create a diagnostic platform for real-time tracking and diagnosis of COVID-19 and other respiratory diseases. The MRST precisely captures breathing patterns through three specific breath testing protocols: normal breath, holding breath, and deep breath. We collected breath data from both COVID-19 patients and healthy subjects in Vietnam using this platform, which then served to train and validate ML models. Our evaluation encompassed multiple ML algorithms, including support vector machines and deep learning models, assessing their ability to diagnose COVID-19. Our multi-model validation methodology ensures a thorough comparison and grants the adaptability to select the most optimal model, striking a balance between diagnostic precision with model interpretability. The findings highlight the exceptional potential of our diagnostic tool in pinpointing respiratory anomalies, achieving over 90% accuracy. This innovative sensor technology can be seamlessly integrated into healthcare settings for patient monitoring, marking a significant enhancement for the healthcare infrastructure.
- Published
- 2023
33. Noise and Memristance Variation Tolerance of Single Crossbar Architectures for Neuromorphic Image Recognition
- Author
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Minh Le, Thi Kim Hang Pham, and Son Ngoc Truong
- Subjects
neuromorphic image recognition ,Gaussian noise ,memristance variation ,memristor array ,complementary crossbar ,twin crossbar ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
We performed a comparative study on the Gaussian noise and memristance variation tolerance of three crossbar architectures, namely the complementary crossbar architecture, the twin crossbar architecture, and the single crossbar architecture, for neuromorphic image recognition and conducted an experiment to determine the performance of the single crossbar architecture for simple pattern recognition. Ten grayscale images with the size of 32 × 32 pixels were used for testing and comparing the recognition rates of the three architectures. The recognition rates of the three memristor crossbar architectures were compared to each other when the noise level of images was varied from −10 to 4 dB and the percentage of memristance variation was varied from 0% to 40%. The simulation results showed that the single crossbar architecture had the best Gaussian noise input and memristance variation tolerance in terms of recognition rate. At the signal-to-noise ratio of −10 dB, the single crossbar architecture produced a recognition rate of 91%, which was 2% and 87% higher than those of the twin crossbar architecture and the complementary crossbar architecture, respectively. When the memristance variation percentage reached 40%, the single crossbar architecture had a recognition rate as high as 67.8%, which was 1.8% and 9.8% higher than the recognition rates of the twin crossbar architecture and the complementary crossbar architecture, respectively. Finally, we carried out an experiment to determine the performance of the single crossbar architecture with a fabricated 3 × 3 memristor crossbar based on carbon fiber and aluminum film. The experiment proved successful implementation of pattern recognition with the single crossbar architecture.
- Published
- 2021
- Full Text
- View/download PDF
34. Transmit Antenna Selection Aided Linear Group Precoding for Massive MIMO Systems
- Author
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Van Dinh, Minh Le, Vu Ngo, Xuan Tran, and Chi Ta
- Subjects
mu-mimo system ,massive mimo system ,linear precoder ,lattice reduction algorithm ,Computer engineering. Computer hardware ,TK7885-7895 ,Systems engineering ,TA168 - Abstract
In this paper, we investigate the combination of linear group precoding with a transmit antenna group selection (TA-GS) algorithm based on the channel capacity analysis for Massive MIMO systems. Simultaneously, we propose a low complexity linear precoding algorithm that works on the selected antennas. The proposed precoder is developed based on the conventional linear precoders in combination with the element-base lattice reduction shortest longest vector technique having low complexity. Numerical and simulation results show that the system performance significantly improves when the transmit selection technique is applied. Besides, the proposed precoder has remarkably lower computational complexity than its LC-RBD-LR-ZF counterpart. The bit error rate (BER) performance of the proposed precoder can approach that of the LC-RBD-LR-ZF precoder as the number of groups increases, yet at the cost of higher detectioncomplexity.
- Published
- 2019
- Full Text
- View/download PDF
35. Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval
- Author
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Tran, Vu, Nguyen, Minh Le, Tojo, Satoshi, and Satoh, Ken
- Subjects
Computer Science - Computation and Language - Abstract
We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks. On the other hand, we explore the benefits from combining lexical features and latent features generated with neural networks. Our experiments show that lexical features and latent features generated with neural networks complement each other to improve the retrieval system performance. Furthermore, our experimental results suggest the importance of case summarization in different aspects: using provided summaries and performing encoded summarization. Our approach achieved F1 of 65.6% and 57.6% on the experimental datasets of legal case retrieval tasks., Comment: Published 2020-01-25 in AI and Law. arXiv admin note: text overlap with arXiv:2009.14083
- Published
- 2023
- Full Text
- View/download PDF
36. Asymptotic periodic solutions of differential equations with infinite delay
- Author
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Huy, Nguyen Duc, Minh, Le Anh, Luong, Vu trong, and Vien, Nguyen Ngoc
- Subjects
Mathematics - Classical Analysis and ODEs ,Mathematics - Analysis of PDEs ,34K30, 34k13, 34K14, 34D05, 35B15 - Abstract
In this paper, by using the spectral theory of functions and properties of evolution semigroups, we establish conditions on the existence, and uniqueness of asymptotic 1-periodic solutions to a class of abstract differential equations with infinite delay of the form \begin{equation*} \frac{d u(t)}{d t}=A u(t)+L(u_t)+f(t) \end{equation*} where $A$ is the generator of a strongly continuous semigroup of linear operators, $L$ is a bounded linear operator from a phase space $\mathscr{B}$ to a Banach space $X$, $u_t$ is an element of $\mathscr{B}$ which is defined as $u_t(\theta)=u(t+\theta)$ for $\theta \leq 0$ and $f$ is asymptotic 1-periodic in the sense that $\lim\limits_{t \rightarrow \infty}(f(t+1)-$ $f(t))=0$. A Lotka-Volterra model with diffusion and infinite delay is considered to illustrate our results., Comment: 13 pages
- Published
- 2023
37. Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
- Author
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Miyanishi, Yosuke and Nguyen, Minh Le
- Subjects
Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
Amidst the rapid expansion of Machine Learning (ML) and Large Language Models (LLMs), understanding the semantics within their mechanisms is vital. Causal analyses define semantics, while gradient-based methods are essential to eXplainable AI (XAI), interpreting the model's 'black box'. Integrating these, we investigate how a model's mechanisms reveal its causal effect on evidence-based decision-making. Research indicates intersectionality - the combined impact of an individual's demographics - can be framed as an Average Treatment Effect (ATE). This paper demonstrates that hateful meme detection can be viewed as an ATE estimation using intersectionality principles, and summarized gradient-based attention scores highlight distinct behaviors of three Transformer models. We further reveal that LLM Llama-2 can discern the intersectional aspects of the detection through in-context learning and that the learning process could be explained via meta-gradient, a secondary form of gradient. In conclusion, this work furthers the dialogue on Causality and XAI. Our code is available online (see External Resources section)., Comment: Accepted to LREC-COLING 2024
- Published
- 2023
38. Assessment of physicochemical properties and radioactivity in groundwater at households living in bac Lieu province, vietnam
- Author
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Ho, Phan Long, Hung, Le Dinh, Minh, Vu Tuan, Thanh, Nguyen Tran Bao, Van Chinh, Dang, Minh, Le Hoang, Thanh, Tran Thien, and Van Tao, Chau
- Published
- 2024
- Full Text
- View/download PDF
39. Investigation of Global Sensitivity Analysis on Operating Revenue and CO2 Emissions from Crude Oil Distillation using Two-Stage Uncertainty Quantification Method
- Author
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Minh Le, Duong Pham, and Moonyong Lee
- Subjects
Chemical engineering ,TP155-156 ,Computer engineering. Computer hardware ,TK7885-7895 - Abstract
This paper presents a global sensitivity analysis based strategy for uncertainty quantification of the operating revenue and the carbon dioxide emissions in a crude oil distillation column. Aspen HYSYS is used for rigorous simulation of the column. A two-stage approach, which is executed by an interface between MATLAB and HYSYS, is implemented in this study. A multiplicative dimensional reduction method is applied to first identify which factors have the most influential to the model outputs, e.g. the operating revenue and the CO2 emissions. In the second stage, the uncertainty quantification regressed by Gaussian prediction regression method is exploited. As a result, there is a good agreement between the predicted results by the Gaussian prediction regression method with that of the conventional Quasi-Monte Carlo approach, which shows that the computational efforts was reduced significantly compared to the conventional study (about less than 10 times). Furthermore, the Kernel points estimated by the Gaussian prediction regression method are generated to highlight influential factors identified in the first stage.
- Published
- 2018
- Full Text
- View/download PDF
40. Cervical dystonia: Injecting botulinum neurotoxin into semispinalis capitis improves goose-neck posture
- Author
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Tai Ngoc Tran, Minh Le, Thuong Huyen Thi Dang, and Daniel Truong
- Subjects
Cervical dystonia ,Botulinum toxin ,Anterocollis ,Retrocaput ,Goose-neck posture ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
We describe a patient with goose-neck posture as the presenting form of cervical dystonia. In our case, the bilateral semispinalis capitis muscles were hypertrophic, thick, and overactive while both splenius capitis and sternocleidomastoid muscles were normal. In this single case experience, we demonstrated that the semispinalis capitis muscle may play a primary role in causing a goose-neck posture and the observed forward sagittal shift may be a compensatory or overflow activity of neck flexor muscles. Therefore, botulinum toxin injection to the semispinalis capitis muscles can be considered in the management of patients with goose-neck posture.
- Published
- 2019
- Full Text
- View/download PDF
41. Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials
- Author
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Hai-Bang Ly, Christophe Desceliers, Lu Minh Le, Tien-Thinh Le, Binh Thai Pham, Long Nguyen-Ngoc, Van Thuan Doan, and Minh Le
- Subjects
uncertainty quantification ,critical buckling load ,probabilistic model ,finite element method ,random elasticity matrix ,Newton-Raphson ,Technology ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Microscopy ,QH201-278.5 ,Descriptive and experimental mechanics ,QC120-168.85 - Abstract
This study is devoted to the modeling and simulation of uncertainties in the constitutive elastic properties of material constituting a circular column under axial compression. To this aim, a probabilistic model dedicated to the construction of positive-definite random elasticity matrices was first used, involving two stochastic parameters: the mean value and a dispersion parameter. In order to compute the nonlinear effects between load and lateral deflection for the buckling problem of the column, a finite element framework combining a Newton-Raphson solver was developed. The finite element tool was validated by comparing the as-obtained critical buckling loads with those from Euler’s formula at zero-fluctuation of the elasticity matrix. Three levels of fluctuations of material uncertainties were then propagated through the validated finite element tool using the probabilistic method as a stochastic solver. Results showed that uncertain material properties considerably influenced the buckling behavior of columns under axial loading. The coefficient of variation of a critical buckling load over 500 realizations were 15.477%, 26.713% and 41.555% when applying dispersion parameters of 0.3, 0.5 and 0.7, respectively. The 95% confidence intervals of column buckling response were finally given. The methodology of modeling presented in this paper is a potential candidate for accounting material uncertainties with some instabilities of structural elements under compression.
- Published
- 2019
- Full Text
- View/download PDF
42. Videolaryngoscopy using an Android smartphone: A direct digital technique
- Author
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John George Karippacheril and Minh Le Cong
- Subjects
Anesthesiology ,RD78.3-87.3 - Published
- 2016
- Full Text
- View/download PDF
43. Community-based prevalence and associated factors of sarcopenia in the Vietnamese elderly
- Author
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Pham, Lan-Anh Thi, Nguyen, Binh Thanh, Huynh, Dao Tieu, Nguyen, Binh-Minh Le Thi, Tran, Phuong-Anh Nhat, Van Vo, Tam, Bui, Hy-Han Thi, and Thai, Truc Thanh
- Published
- 2024
- Full Text
- View/download PDF
44. Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022
- Author
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Van, Hieu Nguyen, Nguyen, Dat, Nguyen, Phuong Minh, and Nguyen, Minh Le
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Question Answering Competition (ALQAC 2022). In this competition, we achieve 1\textsuperscript{st} place in the first task and 3\textsuperscript{rd} place in the second task. Our method is based on the XLM-RoBERTa model that is pre-trained from a large amount of unlabeled corpus before fine-tuning to the specific tasks. The experimental results showed that our method works well in legal retrieval information tasks with limited labeled data. Besides, this method can be applied to other information retrieval tasks in low-resource languages.
- Published
- 2022
45. Thickness and microstructure effects in the optical and electrical properties of silver thin films
- Author
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Guowen Ding, César Clavero, Daniel Schweigert, and Minh Le
- Subjects
Physics ,QC1-999 - Abstract
The optical and electrical response of metal thin films approaching thicknesses in the range of the electron mean free path is highly affected by electronic scattering with the interfaces and defects. Here, we present a theoretical and experimental study on how thickness and microstructure affect the properties of Ag thin films. We are able to successfully model the electrical resistivity and IR optical response using a thickness dependent electronic scattering time. Remarkably, the product of electronic scattering time and resistivity remains constant regardless of the thickness (τx ρ = C), with a value of 59 ± 2 μΩ cm ⋅ fs for Ag films in the investigated range from 3 to 74 nm. Our findings enable us to develop a theoretically framework that allows calculating the optical response of metal thin films in the IR by using their measured thickness and resistivity. An excellent agreement is found between experimental measurements and predicted values. This study also shows the theoretical lower limit for emissivity in Ag thin films according to their microstructure and thickness. Application of the model presented here will allow rapid characterization of the IR optical response of metal thin films, with important application in a broad spectrum of fundamental and industrial applications, including optical coatings, low-emissivity windows and semiconductor industry.
- Published
- 2015
- Full Text
- View/download PDF
46. Human Behavior Modeling in Speech Transcribing Process via Pretrained Speech Recognition Models.
- Author
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Bao Thang Ta, Minh Khang Pham, Nhat Minh Le, and Van Hai Do
- Published
- 2024
- Full Text
- View/download PDF
47. Zero-Cost Proxy-Based Hierarchical Initialization for Evolutionary Neural Architecture Search.
- Author
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Nhat Minh Le, An Vo, and Ngoc Hoang Luong
- Published
- 2024
- Full Text
- View/download PDF
48. Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes.
- Author
-
Yosuke Miyanishi and Minh Le Nguyen 0001
- Published
- 2024
49. Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study.
- Author
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Triet Huynh Minh Le, Xiaoning Du 0001, and Muhammad Ali Babar 0001
- Published
- 2024
- Full Text
- View/download PDF
50. SEE: Spherical Embedding Expansion for Improving Deep Metric Learning.
- Author
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Binh Minh Le and Simon S. Woo
- Published
- 2024
- Full Text
- View/download PDF
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