Fast Determination of Auramine O in Food by Adsorptive Stripping Voltammetry

Autor: Thuong Nguyen Thi Kim, Thi Thu Bui, Anh Tuan Pham, Van Thang Duong, Thi Huong Giang Le

Publikováno v: Journal of Analytical Methods in Chemistry, Vol 2019 (2019)

The electrochemical behaviour of auramine O on the hanging mercury drop electrode has been investigated by cyclic and square wave voltammetry method. Reduction peak of auramine O was irreversible and adsorptive on the hanging mercury drop electrode.

Externí odkaz: https://doaj.org/article/cf044e8456cb41bab9d246d958b3991c

Changes in social norms during the early stages of the COVID-19 pandemic across 43 countries

Autor: Giulia Andrighetto, Aron Szekely, Andrea Guido, Michele Gelfand, Jered Abernathy, Gizem Arikan, Zeynep Aycan, Shweta Bankar, Davide Barrera, Dana Basnight-Brown, Anabel Belaus, Elizaveta Berezina, Sheyla Blumen, Paweł Boski, Huyen Thi Thu Bui, Juan Camilo Cárdenas, Đorđe Čekrlija, Mícheál de Barra, Piyanjali de Zoysa, Angela Dorrough, Jan B. Engelmann, Hyun Euh, Susann Fiedler, Olivia Foster-Gimbel, Gonçalo Freitas, Marta Fülöp, Ragna B. Gardarsdottir, Colin Mathew Hugues D. Gill, Andreas Glöckner, Sylvie Graf, Ani Grigoryan, Katarzyna Growiec, Hirofumi Hashimoto, Tim Hopthrow, Martina Hřebíčková, Hirotaka Imada, Yoshio Kamijo, Hansika Kapoor, Yoshihisa Kashima, Narine Khachatryan, Natalia Kharchenko, Diana León, Lisa M. Leslie, Yang Li, Kadi Liik, Marco Tullio Liuzza, Angela T. Maitner, Pavan Mamidi, Michele McArdle, Imed Medhioub, Maria Luisa Mendes Teixeira, Sari Mentser, Francisco Morales, Jayanth Narayanan, Kohei Nitta, Ravit Nussinson, Nneoma G. Onyedire, Ike E. Onyishi, Evgeny Osin, Seniha Özden, Penny Panagiotopoulou, Oleksandr Pereverziev, Lorena R. Perez-Floriano, Anna-Maija Pirttilä-Backman, Marianna Pogosyan, Jana Raver, Cecilia Reyna, Ricardo Borges Rodrigues, Sara Romanò, Pedro P. Romero, Inari Sakki, Angel Sánchez, Sara Sherbaji, Brent Simpson, Lorenzo Spadoni, Eftychia Stamkou, Giovanni A. Travaglino, Paul A. M. Van Lange, Fiona Fira Winata, Rizqy Amelia Zein, Qing-peng Zhang, Kimmo Eriksson

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)

Abstract The emergence of COVID-19 dramatically changed social behavior across societies and contexts. Here we study whether social norms also changed. Specifically, we study this question for cultural tightness (the degree to which societies general

Externí odkaz: https://doaj.org/article/ba66f6a3c21545cdbe50accc30d27d21

Information needs of informal caregivers in caring and rehabilitation for dioxin victims in Vietnam

Autor: Hien Thi Ho, Chi Linh Bui, Olinda Santin, Huong Thi Nguyen, Hien Luong Thi Nguyen, Hung Chi Do, Nghi Ngoc Tran, Hanh Thi Tuyet Tran, Anh Mai Nguyen, Gillian Carter, Ha Thi Thu Bui, Minh Van Hoang

Publikováno v: BMC Public Health, Vol 23, Iss 1, Pp 1-11 (2023)

Abstract Background Health outcomes among Agent Orange/dioxin (dioxin) victims are significant due to many individuals requiring daily assistance, informal care, and rehabilitation support. This study aimed to identify the information needs of inform

Externí odkaz: https://doaj.org/article/86d32d32fd1c4b219a432a50320a0aae

The economic well-being of nations is associated with positive daily situational experiences

Autor: Beramendi, Maite, Bastian, Brock, Neubauer, Aljoscha, Cortez, Diego, Roth, Eric, Torres, Ana, Zanini, Daniela S., Petkova, Kristina, Tracy, Jessica, Amiot, Catherine, Pelletier-Dumas, Mathieu, González, Roberto, Rosenbluth, Ana, Salgado, Sergio, Guan, Yanjun, Yang, Yu, Forero, Diego, Camargo, Andrés, Papastefanakis, Emmanouil, Kritsotakis, Georgios, Spyridaki, Eirini, Fragkiadaki, Evangelia, Jerneić, Željko, Hřebíčková, Martina, Graf, Sylvie, Strøbæk, Pernille, Realo, Anu, Becker, Maja, Maisonneuve, Christelle, El-Astal, Sofian, Gamsakhurdia, Vladimer Lado, Rauthmann, John, Ziegler, Matthias, Penke, Lars, Buchtel, Emma E., Yeung, Victoria Wai-Lan, Kun, Ágota, Gadanecz, Peter, Vass, Zoltán, Smohai, Máté, Lavalekar, Anagha, Aurelia, Meta Zahro, Kinayung, Dian, Gaffar, Vanessa, Sullivan, Gavin, Day, Christopher, Rechter, Eyal, Perugini, Marco, Costantini, Giulio, Gnisci, Augusto, Sergi, Ida, Senese, Vincenzo Paolo, Mottola, Francesca, Sato, Tatsuya, Nakata, Yuki, Kawamoto, Shizuka, Komiya, Asuka, Al-Zoubi, Marwan, Owsley, Nicholas, Jang, Chaning, Mburu, Georgina, Ngina, Irene, Dimdins, Girts, Barkauskiene, Rasa, Laurinavicius, Alfredas, Markovikj, Marijana, Serafimovska, Eleonara, Mastor, Khairul A., Kruse, Elliott, Ramírez-Esparza, Nairán, Denissen, Jaap, Van Aken, Marcel, Fischer, Ron, Onyishi, Ike E., Ogba, Kalu T., Leknes, Siri, Holen, Vera Waldal, Hansen, Ingelin, Tamnes, Christian Krog, Klæva, Kaia, Kausar, Rukhsana, Khan, Nashi, Rizwan, Muhammad, Espinosa, Agustín, Gastardo-Conaco, Maria Cecilia, Quiñones, Diwa Malaya A., Izdebski, Paweł, Kotyśko, Martyna, Szarota, Piotr, Henriques-Calado, Joana, Sava, Florin Alin, Lvova, Olya, Pogrebitskaya, Victoria, Allakhverdov, Mikhail, Manichev, Sergey, Barry, Oumar, Smederevac, Snežana, Čolović, Petar, Mitrović, Dušanka, Oljača, Milan, Hong, Ryan, Halama, Peter, Musek, Janek, De Kock, Francois, Han, Gyuseog, Suh, Eunkook M., Choi, Soyeon, Gallardo-Pujol, David, Oceja, Luis, Villar, Sergio, Kekecs, Zoltan, Arlinghaus, Nils, Johnson, Daniel P., O'Donnell, Alice Kathryn, Kulich, Clara, Lorenzi-Cioldi, Fabio, Bühler, Janina Larissa, Allemand, Mathias, Chang, Yen-Ping, Lin, Wei-fang, Boonyasiriwat, Watcharaporn, Saribay, S. Adil, Somer, Oya, Akalin, Pelin Karakus, Baguma, Peter Kakubeire, Vinogradov, Alexander, Zhuravlova, Larisa, Conner, Mark, Rentfrow, Jason, Tullett, Alexa, Sauerberger, Kyle, Colman, Douglas E., Cheng, Joey T., Stocks, Eric, Thi Thu Bui, Huyen, Gardiner, Gwendolyn, Lee, Daniel I., Baranski, Erica, Funder, David C.

Publikováno v: In Current Research in Ecological and Social Psychology 2023 4

Multidimensional Machine Learning for Assessing Parameters Associated With COVID-19 in Vietnam: Validation Study

Autor: Trong Tue Nguyen, Cam Tu Ho, Huong Thi Thu Bui, Lam Khanh Ho, Van Thanh Ta

Publikováno v: JMIR Formative Research, Vol 7, p e42895 (2023)

BackgroundMachine learning (ML) is a type of artificial intelligence strategy. Its algorithms are used on big data sets to see patterns, learn from their results, and perform tasks autonomously without being instructed on how to address problems. New

Externí odkaz: https://doaj.org/article/3d442fed8a5a40e8911feeb3fd3b09f3