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2. IDENTIFICATION AND SIEVING ANALYSIS OF PLANTS - A SOURCE OF BIOLOGICALLY ACTIVE SUBSTANCES FROM THE AREA OF DOSPAT MUNICIPALITY, WESTERN RHODOPES, BULGARIA.

Author

Yaneva, Teodora, Parzhanova, Albena, Dimitrov, Dimitar, and Bozadzhiev, Bozhidar

Subjects
BIOACTIVE compounds, MEDICINAL plants, PLANT extracts, BOTANICAL specimens
Abstract

Bulgaria has a rich diversity of medicinal plants, with around 770 species, or 19% of all plant species in the country. According to the floristic regional division of the country, the Rhodope Mountains are divided into 3 regions: Western, Central, and Eastern. Dospat municipality falls within the area of the Western floristic region. The present study aimed to carry out the identification and sieve analysis of three plants. This study serves as a basis for subsequent research on the content and distribution of biologically active substances in the selected plants and can propose an extraction model for their further optimal extraction. The plants identified were thyme (Thymus callieri Borbás ex Velen), thistle (Onopordum acanthium L.), and hawthorn (Crataegus monogyna). The cropped plants were examined for the presence of both inorganic and organic impurities. Once impurities were removed, the first quality grade plant material was sorted, dried, and ground. The ground plant material was then subjected to sieve analysis, which involved sorting the material into six classes based on particle size. The density of distribution of the size fractions was determined and analyzed for each of the three crop years studied. The study aimed to investigate the variation in the size distribution of the plant material over three crop years. The results showed the nature of the variation in the size distribution of the plant material over the studied range of 0 - 2,000 µm. The density of distribution of the size fractions varied between the different crop years, indicating that factors such as weather and other environmental conditions may have influenced the size distribution of the plant material. The obtained result of the grinding and fractionation can serve as a basis for additional research, contributing complete and qualitative extraction of biologically active composites from the herbal plant source. [ABSTRACT FROM AUTHOR]

Published
2024

3. BIOLOGICAL POTENTIAL, HEALTH CAPACITY, AND FUNCTIONAL ACTIVITY OF EMULSION SYSTEMS OBTAINED BY INCORPORATING PLANT EXTRACTS.

Author

Parzhanova, Albena, Yaneva, Teodora, Dimitrov, Dimitar, and Georgieva, Aneliya

Subjects
PLANT extracts, FOOD production, EMULSIONS, FOOD safety, FOOD quality
Abstract

The production of safe food with high quality is one of the most important topics nowadays. The researchers have been looking for innovative approaches to the preparation of a new generation of emulsified products that can serve as a matrix carrier for the incorporation of valuable components with high functional potential. New products may have the capacity to prevent cardiovascular and central nervous system diseases, oncological diseases, and atherosclerosis. Finding and identifying new properties and applications of medicinal plants containing biologically active ingredients is of great importance in the future. Medicinal plants and their secondary metabolites are subject of interest in the pharmaceutical and food industries. In the article, the three valuable species of herbs: hawthorn fruit (Crataegus monogyna), thistle (Onopordum acanthium L.), thyme (Thymus callieri) and their potential for incorporation in food emulsions are reviewed. One hundred seventy-three literary sources were studied - studies of various scientific groups around the world. The research covers a significant range of results concerning plants as a source of biologically active substances, and the integration of plant extracts into food products. The antioxidant potential and chemical composition of plants as a bio-component for food matrices have been studied. A thorough characterization of the chemical composition, pharmacological activities, and biological potential of three plants distributed in the Republic of Bulgaria - hawthorn fruit (Crataegus monogyna), thistle (Onopordum acanthium L.), and thyme (Thymus callieri) was made. Their application in the food industry was studied. The potential possibilities for the preparation of food emulsion systems with the addition of plant sources have been examined. A broad overview of the innovative modern approaches for obtaining a new generation of emulsion products was made. The present review evaluates the possibilities of enhancing the biological potential and health effects of edible emulsion dispersion systems by incorporating plant extracts of medicinal plants into them. [ABSTRACT FROM AUTHOR]

Published
2024

4. DEVELOPMENT OF OPEN-SOURCE ROBOTIC COMPUTER-BASED SYSTEM FOR AUTOMATIC COUNTING OF LACTIC ACID BACTERIAL COLONIES.

Author

Danev, Angel and Yaneva, Teodora

Subjects
LACTIC acid bacteria, BACTERIAL colonies, OPEN source software, BIOTECHNOLOGY, DIGITAL image processing
Abstract

Counting bacterial colonies is an important step in performing a variety of biotechnological analyses. There are several approaches to counting bacterial colonies according to the types of growing medium and all of them can be classified into three main groups - manual, semi-automatic, and automatic. Manual approaches to counting bacterial colonies are time-consuming and subjective. This method requires manually labeling and counting each colony using a marker on the Petri dish. Semi-automatic methods are faster because a specially developed device is used which uses a digital pointer and a special touch display to mark each colony and count it automatically. Although counting error is minimized with this method, manual marking of each colony remains a timeconsuming operation. This research aims to develop an open-source robotic computer-based system that provides techniques for automatic positioning of Petri dishes using a robotic arm, scanning the surface of each Petri dish, and counting bacterial colonies based on object recognition methods. For this research, an open-source Selective Compliance Assembly Robot Arm (SCARA) with 4 degrees of freedom is used and several sets of Petri dishes with fully grown lactic acid bacterial colonies are analyzed using digital image processing methods implemented in a specially developed standalone software with graphical user interface. The body of the robotic arm is printed using a 3D printer and assembled with all mechanical and electrical parts. The control and training of the robotic arm are conducted using Arduino Uno microcontroller and open-source software with GUI. To test the efficiency of the proposed system the time required for performing the two approaches - manual counting and automatic counting is measured. In addition, the accuracy of counting bacterial colonies of both approaches is examined. A set of agar plates is analyzed using two approaches - an automatic computer-based with a robotic arm and a manual one. Each agar plate contains a different number of colonies with varying sizes. The results show a significant improvement in the time needed to count the bacterial colonies using the developed automatic system. In addition, an absolute error ΔA is calculated, and after processing the data a relative error is calculated too. The results show that the errors calculated after performing the automatic counting process are close to the ones obtained with manual counting. In conclusion, an open-source robotic computer-based system for the automatic counting of bacterial colonies has been developed. The proposed system shortens the time required for colony counting and improves efficiency in performing biotechnological analyses. [ABSTRACT FROM AUTHOR]

Published
2024

5. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Author

Blackburn, Angélique M., Vestergren, Sara, Tran, Thao P., Stöckli, Sabrina, Griffin, Siobhán M., Ntontis, Evangelos, Jeftic, Alma, Chrona, Stavroula, Ikizer, Gözde, Han, Hyemin, Milfont, Taciano L., Parry, Douglas, Byrne, Grace, Gómez-López, Mercedes, Acosta, Alida, Kowal, Marta, Leon, Gabriel De, Gallegos, Aranza, Perez, Miles, Abdelrahman, Mohamed, Ahern, Elayne, Yar, Ahmad Wali Ahmad, Ahmed, Oli, Alami, Nael H., Amin, Rizwana, Andersen, Lykke E., Araújo, Bráulio Oliveira, Asongu, Norah Aziamin, Bartsch, Fabian, Bavoľár, Jozef, Bhatta, Khem Raj, Bircan, Tuba, Bita, Shalani, Bombuwala, Hasitha, Brik, Tymofii, Cakal, Huseyin, Caniëls, Marjolein, Carballo, Marcela, Carvalho, Nathalia M., Cely, Laura, Chang, Sophie, Chayinska, Maria, Chen, Fang-Yu, Ch’ng, Brendan, Chukwuorji, JohnBosco Chika, Costa, Ana Raquel, Dalizu, Vidijah Ligalaba, Deschrijver, Eliane, Aldemir, İlknur Dilekler, Doherty, Anne M., Doller, Rianne, Dubrov, Dmitrii, Elegbede, Salem, Elizalde, Jefferson, Ermagan-Caglar, Eda, Fernández-Morales, Regina, García-Castro, Juan Diego, Gelpí, Rebekah, Ghafori, Shagofah, Goldberg, Ximena, González-Uribe, Catalina, Alpízar-Rojas, Harlen, Haugestad, Christian Andres Palacios, Higuera, Diana, Hoorelbeke, Kristof, Hristova, Evgeniya, Hubená, Barbora, Huq, Hamidul, Ihaya, Keiko, Jayathilake, Gosith, Jen, Enyi, Jinadasa, Amaani, Joksimovic, Jelena, Kačmár, Pavol, Kadreva, Veselina, Kalinova, Kalina, Kandeel, Huda Anter Abdallah, Kellezi, Blerina, Khan, Sammyh, Kontogianni, Maria, Koszałkowska, Karolina, Hanusz, Krzysztof, Lacko, David, Landa-Blanco, Miguel, Lee, Yookyung, Lieberoth, Andreas, Lins, Samuel, Liutsko, Liudmila, Londero-Santos, Amanda, Mauritsen, Anne Lundahl, Maegli, María Andrée, Magidie, Patience, Maharjan, Roji, Makaveeva, Tsvetelina, Makhubela, Malose, Malagón, María Gálvis, Malykh, Sergey, Mamede, Salomé, Mandillah, Samuel, Mansoor, Mohammad Sabbir, Mari, Silvia, Marín-López, Inmaculada, Marot, Tiago A., Martínez, Sandra, Mauka, Juma, Moss, Sigrun Marie, Mushtaq, Asia, Musliu, Arian, Mususa, Daniel, Najmussaqib, Arooj, Nasheeda, Aishath, Nasr, Ramona, Machado, Natalia Niño, Natividade, Jean Carlos, Ngowi, Honest Prosper, Nyarangi, Carolyne, Ogunbode, Charles, Onyutha, Charles, Padmakumar, K., Paniagua, Walter, Pena, Maria Caridad, Pírko, Martin, Portela, Mayda, Pouretemad, Hamidreza, Rachev, Nikolay, Ratodi, Muhamad, Reifler, Jason, Sadeghi, Saeid, Sahayanathan, Harishanth Samuel, Sanchez, Eva, Sandbakken, Ella Marie, Sandesh, Dhakal, Sanjesh, Shrestha, Schrötter, Jana, Shanthakumar, Sabarjah, Sikka, Pilleriin, Slaveykova, Konstantina, Studzinska, Anna, Subandi, Fadelia Deby, Subedi, Namita, Sullivan, Gavin Brent, Tag, Benjamin, Delphine, Takem Ebangha Agbor, Tamayo-Agudelo, William, Travaglino, Giovanni A., Tuominen, Jarno, Türk-Kurtça, Tuğba, Vakai, Matutu, Volkodav, Tatiana, Wang, Austin Horng-En Wang, Williams, Alphonsus, Wu, Charles, Yamada, Yuki, Yaneva, Teodora, Yañez, Nicolás, Yeh, Yao-Yuan, Zoletic, Emina, Blackburn, Angélique M., Vestergren, Sara, Tran, Thao P., Stöckli, Sabrina, Griffin, Siobhán M., Ntontis, Evangelos, Jeftic, Alma, Chrona, Stavroula, Ikizer, Gözde, Han, Hyemin, Milfont, Taciano L., Parry, Douglas, Byrne, Grace, Gómez-López, Mercedes, Acosta, Alida, Kowal, Marta, Leon, Gabriel De, Gallegos, Aranza, Perez, Miles, Abdelrahman, Mohamed, Ahern, Elayne, Yar, Ahmad Wali Ahmad, Ahmed, Oli, Alami, Nael H., Amin, Rizwana, Andersen, Lykke E., Araújo, Bráulio Oliveira, Asongu, Norah Aziamin, Bartsch, Fabian, Bavoľár, Jozef, Bhatta, Khem Raj, Bircan, Tuba, Bita, Shalani, Bombuwala, Hasitha, Brik, Tymofii, Cakal, Huseyin, Caniëls, Marjolein, Carballo, Marcela, Carvalho, Nathalia M., Cely, Laura, Chang, Sophie, Chayinska, Maria, Chen, Fang-Yu, Ch’ng, Brendan, Chukwuorji, JohnBosco Chika, Costa, Ana Raquel, Dalizu, Vidijah Ligalaba, Deschrijver, Eliane, Aldemir, İlknur Dilekler, Doherty, Anne M., Doller, Rianne, Dubrov, Dmitrii, Elegbede, Salem, Elizalde, Jefferson, Ermagan-Caglar, Eda, Fernández-Morales, Regina, García-Castro, Juan Diego, Gelpí, Rebekah, Ghafori, Shagofah, Goldberg, Ximena, González-Uribe, Catalina, Alpízar-Rojas, Harlen, Haugestad, Christian Andres Palacios, Higuera, Diana, Hoorelbeke, Kristof, Hristova, Evgeniya, Hubená, Barbora, Huq, Hamidul, Ihaya, Keiko, Jayathilake, Gosith, Jen, Enyi, Jinadasa, Amaani, Joksimovic, Jelena, Kačmár, Pavol, Kadreva, Veselina, Kalinova, Kalina, Kandeel, Huda Anter Abdallah, Kellezi, Blerina, Khan, Sammyh, Kontogianni, Maria, Koszałkowska, Karolina, Hanusz, Krzysztof, Lacko, David, Landa-Blanco, Miguel, Lee, Yookyung, Lieberoth, Andreas, Lins, Samuel, Liutsko, Liudmila, Londero-Santos, Amanda, Mauritsen, Anne Lundahl, Maegli, María Andrée, Magidie, Patience, Maharjan, Roji, Makaveeva, Tsvetelina, Makhubela, Malose, Malagón, María Gálvis, Malykh, Sergey, Mamede, Salomé, Mandillah, Samuel, Mansoor, Mohammad Sabbir, Mari, Silvia, Marín-López, Inmaculada, Marot, Tiago A., Martínez, Sandra, Mauka, Juma, Moss, Sigrun Marie, Mushtaq, Asia, Musliu, Arian, Mususa, Daniel, Najmussaqib, Arooj, Nasheeda, Aishath, Nasr, Ramona, Machado, Natalia Niño, Natividade, Jean Carlos, Ngowi, Honest Prosper, Nyarangi, Carolyne, Ogunbode, Charles, Onyutha, Charles, Padmakumar, K., Paniagua, Walter, Pena, Maria Caridad, Pírko, Martin, Portela, Mayda, Pouretemad, Hamidreza, Rachev, Nikolay, Ratodi, Muhamad, Reifler, Jason, Sadeghi, Saeid, Sahayanathan, Harishanth Samuel, Sanchez, Eva, Sandbakken, Ella Marie, Sandesh, Dhakal, Sanjesh, Shrestha, Schrötter, Jana, Shanthakumar, Sabarjah, Sikka, Pilleriin, Slaveykova, Konstantina, Studzinska, Anna, Subandi, Fadelia Deby, Subedi, Namita, Sullivan, Gavin Brent, Tag, Benjamin, Delphine, Takem Ebangha Agbor, Tamayo-Agudelo, William, Travaglino, Giovanni A., Tuominen, Jarno, Türk-Kurtça, Tuğba, Vakai, Matutu, Volkodav, Tatiana, Wang, Austin Horng-En Wang, Williams, Alphonsus, Wu, Charles, Yamada, Yuki, Yaneva, Teodora, Yañez, Nicolás, Yeh, Yao-Yuan, and Zoletic, Emina

Published
2023

9. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

Author

Blackburn, Angélique M., Vestergren, Sara, Tran, Thao P., Stöckli, Sabrina, Griffin, Siobhán M., Ntontis, Evangelos, Jeftic, Alma, Chrona, Stavroula, Ikizer, Gözde, Han, Hyemin, Milfont, Taciano L., Parry, Douglas, Byrne, Grace, Gómez-López, Mercedes, Acosta, Alida, Kowal, Marta, De Leon, Gabriel, Gallegos, Aranza, Perez, Miles, Abdelrahman, Mohamed, Ahern, Elayne, Yar, Ahmad Wali Ahmad, Ahmed, Oli, Alami, Nael H., Amin, Rizwana, Andersen, Lykke E., Araújo, Bráulio Oliveira, Asongu, Norah Aziamin, Bartsch, Fabian, Bavoľár, Jozef, Bhatta, Khem Raj, Bircan, Tuba, Bita, Shalani, Bombuwala, Hasitha, Brik, Tymofii, Cakal, Huseyin, Caniëls, Marjolein, Carballo, Marcela, Carvalho, Nathalia M., Cely, Laura, Chang, Sophie, Chayinska, Maria, Chen, Fang-Yu, Ch’ng, Brendan, Chukwuorji, JohnBosco Chika, Costa, Ana Raquel, Dalizu, Vidijah Ligalaba, Deschrijver, Eliane, Dilekler Aldemir, İlknur, Doherty, Anne M., Doller, Rianne, Dubrov, Dmitrii, Elegbede, Salem, Elizalde, Jefferson, Ermagan-Caglar, Eda, Fernández-Morales, Regina, García-Castro, Juan Diego, Gelpí, Rebekah, Ghafori, Shagofah, Goldberg, Ximena, González-Uribe, Catalina, Alpízar-Rojas, Harlen, Haugestad, Christian Andres Palacios, Higuera, Diana, Hoorelbeke, Kristof, Hristova, Evgeniya, Hubená, Barbora, Huq, Hamidul, Ihaya, Keiko, Jayathilake, Gosith, Jen, Enyi, Jinadasa, Amaani, Joksimovic, Jelena, Kačmár, Pavol, Kadreva, Veselina, Kalinova, Kalina, Kandeel, Huda Anter Abdallah, Kellezi, Blerina, Khan, Sammyh, Kontogianni, Maria, Koszałkowska, Karolina, Krzysztof, Hanusz, Lacko, David, Landa-Blanco, Miguel, Lee, Yookyung, Lieberoth, Andreas, Lins, Samuel, Liutsko, Liudmila, Londero-Santos, Amanda, Mauritsen, Anne Lundahl, Maegli, María Andrée, Magidie, Patience, Maharjan, Roji, Makaveeva, Tsvetelina, Makhubela, Malose, Malagón, María Gálvis, Malykh, Sergey, Mamede, Salomé, Mandillah, Samuel, Mansoor, Mohammad Sabbir, Mari, Silvia, Marín-López, Inmaculada, Marot, Tiago A., Martínez, Sandra, Mauka, Juma, Moss, Sigrun Marie, Mushtaq, Asia, Musliu, Arian, Mususa, Daniel, Najmussaqib, Arooj, Nasheeda, Aishath, Nasr, Ramona, Machado, Natalia Niño, Natividade, Jean Carlos, Ngowi, Honest Prosper, Nyarangi, Carolyne, Ogunbode, Charles, Onyutha, Charles, Padmakumar, K., Paniagua, Walter, Pena, Maria Caridad, Pírko, Martin, Portela, Mayda, Pouretemad, Hamidreza, Rachev, Nikolay, Ratodi, Muhamad, Reifler, Jason, Sadeghi, Saeid, Sahayanathan, Harishanth Samuel, Sanchez, Eva, Sandbakken, Ella Marie, Sandesh, Dhakal, Sanjesh, Shrestha, Schrötter, Jana, Shanthakumar, Sabarjah, Sikka, Pilleriin, Slaveykova, Konstantina, Studzinska, Anna, Subandi, Fadelia Deby, Subedi, Namita, Sullivan, Gavin Brent, Tag, Benjamin, Delphine, Takem Ebangha Agbor, Tamayo-Agudelo, William, Travaglino, Giovanni A., Tuominen, Jarno, Türk-Kurtça, Tuğba, Vakai, Matutu, Volkodav, Tatiana, Wang, Austin Horng-En Wang, Williams, Alphonsus, Wu, Charles, Yamada, Yuki, Yaneva, Teodora, Yañez, Nicolás, Yeh, Yao-Yuan, Zoletic, Emina, Department of Organisation, RS-Research Line Learning (part of LIRS program), Bircan, Tuba, Faculty of Sciences and Bioengineering Sciences, Brussels Centre for Urban Studies, Sociology, Faculty of Economic and Social Sciences and Solvay Business School, Faculdade de Psicologia e de Ciências da Educação, Blackburn, A, Vestergren, S, Tran, T, Stockli, S, Griffin, S, Ntontis, E, Jeftic, A, Chrona, S, Ikizer, G, Han, H, Milfont, T, Parry, D, Byrne, G, Gomez-Lopez, M, Acosta, A, Kowal, M, De Leon, G, Gallegos, A, Perez, M, Abdelrahman, M, Ahern, E, Yar, A, Ahmed, O, Alami, N, Amin, R, Andersen, L, Araujo, B, Asongu, N, Bartsch, F, Bavolar, J, Bhatta, K, Bircan, T, Bita, S, Bombuwala, H, Brik, T, Cakal, H, Caniels, M, Carballo, M, Carvalho, N, Cely, L, Chang, S, Chayinska, M, Chen, F, Ch'Ng, B, Chukwuorji, J, Costa, A, Dalizu, V, Deschrijver, E, Dilekler Aldemir, I, Doherty, A, Doller, R, Dubrov, D, Elegbede, S, Elizalde, J, Ermagan-Caglar, E, Fernandez-Morales, R, Garcia-Castro, J, Gelpi, R, Ghafori, S, Goldberg, X, Gonzalez-Uribe, C, Alpizar-Rojas, H, Haugestad, C, Higuera, D, Hoorelbeke, K, Hristova, E, Hubena, B, Huq, H, Ihaya, K, Jayathilake, G, Jen, E, Jinadasa, A, Joksimovic, J, Kacmar, P, Kadreva, V, Kalinova, K, Kandeel, H, Kellezi, B, Khan, S, Kontogianni, M, Koszalkowska, K, Krzysztof, H, Lacko, D, Landa-Blanco, M, Lee, Y, Lieberoth, A, Lins, S, Liutsko, L, Londero-Santos, A, Mauritsen, A, Maegli, M, Magidie, P, Maharjan, R, Makaveeva, T, Makhubela, M, Malagon, M, Malykh, S, Mamede, S, Mandillah, S, Mansoor, M, Mari, S, Marin-Lopez, I, Marot, T, Martinez, S, Mauka, J, Moss, S, Mushtaq, A, Musliu, A, Mususa, D, Najmussaqib, A, Nasheeda, A, Nasr, R, Machado, N, Natividade, J, Ngowi, H, Nyarangi, C, Ogunbode, C, Onyutha, C, Padmakumar, K, Paniagua, W, Pena, M, Pirko, M, Portela, M, Pouretemad, H, Rachev, N, Ratodi, M, Reifler, J, Sadeghi, S, Sahayanathan, H, Sanchez, E, Sandbakken, E, Sandesh, D, Sanjesh, S, Schrotter, J, Shanthakumar, S, Sikka, P, Slaveykova, K, Studzinska, A, Subandi, F, Subedi, N, Sullivan, G, Tag, B, Delphine, T, Tamayo-Agudelo, W, Travaglino, G, Tuominen, J, Turk-Kurtca, T, Vakai, M, Volkodav, T, Wang, A, Williams, A, Wu, C, Yamada, Y, Yaneva, T, Yanez, N, Yeh, Y, and Zoletic, E

Subjects
Statistics and Probability, perceived stress, 300 Social sciences, sociology & anthropology, compiance, Social Sciences, Library and Information Sciences, compliance, PANDEMIC, Education, stress, cross-cultural, well-being, Naturvetenskap, 650 Management & public relations, Samfund/samtid, Psychology, Humans, vaccine willingness, social norms, Social Behavior, resilience, Pandemics, SCALE, Psykologi, Pandemic, Trivsel, SARS-CoV-2, Statistics, HUMAN, COVID-19, health, trust, Public Health, Global Health, Social Medicine and Epidemiology, vaccines, Computer Science Applications, Coronavirus, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Probability and Uncertainty, Statistics, Probability and Uncertainty, Natural Sciences, GOVERNMENT, Human, Information Systems
Abstract

During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy. © 2022, The Author(s). U.S. Department of Education, ED: P031S190304; Texas A and M International University, TAMIU; National Research University Higher School of Economics, ВШЭ The COVIDiSTRESS Consortium would like to acknowledge the contributions of friends and collaborators in translating and sharing the COVIDiSTRESS survey, as well as the study participants. Data analysis was supported by Texas A&M International University (TAMIU) Research Grant, TAMIU Act on Ideas, and the TAMIU Advancing Research and Curriculum Initiative (TAMIU ARC) awarded by the US Department of Education Developing Hispanic-Serving Institutions Program (Award # P031S190304). Data collection by Dmitrii Dubrov was supported within the framework of the Basic Research Program at HSE University, RF.

Published
2021
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11. Modulation of the antioxidant activity of a functional oat beverage by enrichment with chokeberry juice.

Author

Yaneva, Teodora, Dinkova, Rada, Gotcheva, Velitchka, and Angelov, Angel

Subjects
*FUNCTIONAL beverages, *ARONIA, *OATS, *LACTOBACILLUS plantarum, *FERMENTED beverages, *FUNCTIONAL foods, *ANTIOXIDANTS
Abstract

Modern functional food companies are focused on the development of products offering multiple health benefits through combining various functional ingredients. Following this trend, the aim of the present study was to enrich a probiotic oat beverage with antioxidants by the addition of chokeberry juice. It was necessary to assess how different quantities of chokeberry juice affected the antioxidant activity of the oat beverage and the fermentation potential of the starter monoculture of Lactobacillus plantarum Pro in the liquid oat matrix. Results show that the starter culture was well tolerant to chokeberry juice of up to 20% added before fermentation. Also, fermentation of the oat matrix with aronia juice was proved to increase the total antioxidant activity of the product compared to the addition of aronia juice after fermentation. The sensory evaluation of four beverage variants confirmed that supplementation with chokeberry juice improves the sensory acceptance of a fermented oat beverage. Novelty impact statement: The study explored the possibility to extend the functionality of a probiotic oat beverage by supplementation with chokeberry juice. The addition of up to 20% chokeberry juice did not inhibit the growth of the probiotic starter culture and its fermentation activity. The addition of chokeberry juice before fermentation resulted in higher antioxidant activity of the beverage compared to the addition after fermentation, and sensory evaluation of four beverage variants confirmed that supplementation with chokeberry juice improves the sensory acceptance of the fermented oat beverage. [ABSTRACT FROM AUTHOR]

Published
2022
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12. The European/international fibromuscular dysplasia registry and initiative (FEIRI) - Clinical phenotypes and their predictors based on a cohort of 1000 patients

Author

Pappaccogli, M, Di Monaco, S, Warchoł-Celińska, E, Lorthioir, A, Amar, L, Aparicio, Ls, Beauloye, C, Bruno, Rm, Chenu, P, de Leeuw, P, De Backer, T, Delmotte, P, Dika, Z, Gordin, D, Heuten, H, Iwashima, Y, Krzesinski, Jm, Kroon, Aa, Mazzolai, L, Poch, E, Sarafidis, P, Seinturier, C, Spiering, W, Toubiana, L, Van der Niepen, P, van Twist, D, Visonà, A, Wautrecht, Jc, Witowicz, H, Xu, J, Prejbisz, A, Januszewicz, A, Azizi, M, Persu, A, European/International FMD Registry and Initiative (FEIRI), and the Working Group ‘Hypertension and the Kidney’ of the European Society of Hypertension (ESH) Collaborators: Lucas, S Aparicio, Alexandre, Persu, Marco, Pappaccogli, Christophe, Beauloye, Patrick, Chenu, Frank, Hammer, Pierre, Goffette, Parla, Astarci, André, Peeters, Robert, Verhelst, Miikka, Vikkula, Patricia Van der Niepen, Frank Van Tussenbroek, Tine De Backer, Sofie, Gevaert, Dimitri, Hemelsoet, Luc, Defreyne, Hilde, Heuten, Laetitia, Yperzeele, Thijs Van der Zijden, Jean-Philippe, Lengelé, Jean-Marie, Krzesinski, Muriel, Sprynger, Philippe, Delmotte, Peter, Verhamme, Thomas, Vanassche, Pasquale, Scoppettuolo, Jean-Claude, Wautrecht, Wouter, Vinck, Vassilev, Dobrin, Yaneva, Teodora, Jiguang, Wang, Jianzhong, Xu, Bojan, Jelaković, Zivka, Dika, Daniel, Gordin, Ilkka, Tikkanen, Maarit, Venermo, N Mäkelä, R, Pierre-François, Plouin, Xavier, Jeunemaitre, Laurent, Toubiana, Michel, Azizi, Laurence, Amar, Antoine, Chédid, Elie, Mousseaux, Aurélien, Lorthioir, Olivier, Ormezzano, Christopher, Seinturier, Frédéric, Thony, Felix, Mahfoud, Saarraaken, Kulenthiran, Pantelis, Sarafidis, Alexia, Piperidou, Michael, Doumas, George, S Stergiou, Demetrios, Vlahakos, Caitriona, Canning, Yehonatan, Sharabi, Alberto, Morganti, Rosa Maria Bruno, Stefano, Taddei, Caterina, Romanini, Ilaria, Petrucci, Franco, Rabbia, Silvia Di Monaco, Gian Paolo Rossi, Silvia, Lerco, Minuz, Pietro, Mansueto, Giancarlo, DE MARCHI, Sergio, Marcon, Denise, Patrizia, Salice, Adriana, Visonà, Paola, Bigolin, Viviana, Zingaretti, Rosario, Cianci, Marialuisa, Zedde, Maria Chiara Matteucci, Yoshio, Iwashima, Osami, Kawarada, Yoshito, Kadoya, Daan, J van Twist, Bram, Kroon, Peter de Leeuw, Wilko, Spiering, Bert-Jan van den Born, Aud, Høieggen, Martin Skage Sommer, Andrzej, Januszewicz, Ewa, Warchoł-Celińska, Aleksander, Prejbisz, Adam, Witkowski, Helena, Witowicz, Jacek, Kądziela, Aleksandra, Soplińska, Krzysztof, Pieluszczak, Katarzyna, Jóżwik-Plebanek, Magdalena, Januszewicz, Elżbieta, Florczak, Piotr, Dobrowolski, Eva, Szabóová, Marek, Hudák, Matej, Moščovič, Juan Diego Mediavilla, Fernando Jaen Aguila, Anna, Oliveras, Julian, Segura, Jose, C Prado, Nicolas Roberto Robles, Esteban, Poch, Enrique, Montagud-Marrahi, Alicia, Molina, Elena, Guillen, Marta, Burrel, Patricia Fernàndez De la Llama, Antonio, J Barros-Membrilla, Anders, Gottsäter, Gregor, Wuerzner, Lucia, Mazzolai, Giacomo, Buso, Faiçal, Jarraya, Hanen, Chaker, David, Adlam, Constantina, Chrysochou, Neeraj, Dhaun, Robert, W Hunter, Iain, Macintyre, David, Webb, Public and occupational health, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, APH - Personalized Medicine, APH - Global Health, ACS - Heart failure & arrhythmias, Interne Geneeskunde, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: Carim - V02 Hypertension and target organ damage, MUMC+: MA Alg Interne Geneeskunde (9), Clinical sciences, Clinical Pharmacology and Clinical Pharmacy, Nephrology, CIC - HEGP (CIC 1418), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPC), UCL - SSS/IREC/CARD - Pôle de recherche cardiovasculaire, UCL - (SLuc) Service de pathologie cardiovasculaire, UCL - SSS/IREC/IMAG - Pôle d'imagerie médicale, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - SSS/DDUV/GEHU - Génétique, UCL - (SLuc) Service de radiologie, UCL - (SLuc) Service de neurologie, and UCL - (SLuc) Service de chirurgie cardiovasculaire et thoracique

Subjects
Male, renovascular hypertension, Computed Tomography Angiography, Physiology, [SDV]Life Sciences [q-bio], Fibromuscular dysplasia, 030204 cardiovascular system & hematology, Magnetic resonance angiography, 0302 clinical medicine, Risk Factors, Prevalence, Registries, Renovascular hypertension, Stroke, Computed tomography angiography, medicine.diagnostic_test, fibromuscular dysplasia, dissection, aneurysm, stroke, Incidence, Dissection, Age Factors, Middle Aged, Prognosis, 3. Good health, Europe, Phenotype, Cohort, cardiovascular system, Female, Cardiology and Cardiovascular Medicine, circulatory and respiratory physiology, Adult, medicine.medical_specialty, Asia, Tunisia, Aneurysm, Argentina, Risk Assessment, 03 medical and health sciences, Sex Factors, stomatognathic system, Predictive Value of Tests, Physiology (medical), Internal medicine, medicine, Humans, cardiovascular diseases, Aged, business.industry, medicine.disease, Aortic Dissection, Stenosis, Angiography, business, Magnetic Resonance Angiography, 030217 neurology & neurosurgery
Abstract

AIMS: Since December 2015, the European/International Fibromuscular Dysplasia (FMD) Registry enrolled 1022 patients from 22 countries. We present their characteristics according to disease subtype, age and gender, as well as predictors of widespread disease, aneurysms and dissections. METHODS AND RESULTS: All patients diagnosed with FMD (string-of-beads or focal stenosis in at least one vascular bed) based on CTA, MRA and/or catheter-based angiography were eligible.Patients were predominantly women (82%) and Caucasians (88%). Age at diagnosis was 46±16 years (12% ≥65yo), 86% were hypertensive, 72% had multifocal and 57% multivessel FMD. Compared to patients with multifocal FMD, patients with focal FMD were younger, more often men, had less often multivessel FMD but more revascularizations. Compared to women with FMD, men were younger, had more often focal FMD and arterial dissections. Compared to younger patients with FMD, patients ≥65yo had more often multifocal FMD, lower eGFR and more atherosclerotic lesions. Independent predictors of multivessel FMD were age at FMD diagnosis, stroke, multifocal subtype, presence of aneurysm or dissection and family history of FMD. Predictors of aneurysms were multivessel and multifocal FMD. Predictors of dissections were age at FMD diagnosis, male gender, stroke and multivessel FMD. CONCLUSIONS: The European/International FMD Registry allowed large-scale characterization of distinct profiles of patients with FMD and, more importantly, identification of a unique set of independent predictors of widespread disease, aneurysms and dissections, paving the way for targeted screening, management and follow-up of FMD. TRANSLATIONAL PERSPECTIVE: Fibromuscular dysplasia (FMD) is nowadays considered as a systemic arterial disease, warranting brain-to-pelvis vascular imaging in all patients. However, most current evidence is derived from a limited number of expert centres. Furthermore, one size may not fit all. Based on analysis of the first thousand patients enrolled in the European/International FMD registry (46 centres; 22 countries) we characterized distinct patient profiles according to FMD subtype, age and gender and identified predictors of widespread disease, aneurysms and dissections, paving the way for individualized management and follow-up. Further studies will allow refining patient characterization according to ethnicity, genetic profile and imaging biomarkers.

Published
2021
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13. Innovative approaches to the preparation of functional oat beverages

Author

Yaneva, Teodora, Проф. д-р Ангел Иванов Ангелов, and Prof. Angel Ivanov Angelov, PhD

Abstract

Функционалните храни включват конвенционални храни, които съдържат биологично активни съставки (напр. хранителни влакнини); храни обогатени с биологично активни съставки (напр. пробиотици и антиоксиданти) както и хранителни съставки, изолирани от едни храни и прибавени към други традиционни храни, с цел повишаване на тяхната хранителна ценност (напр. пребиотици). Ферментационните овесени напитки се причисляват към функционалните храни, благодарение на симбиозата между пробиотичните млечно-кисели бактерии и пребиотичната влакнина β–глюкан. Овесените продукти са уникални с това, че имат хранителна ценност и терапевтичен ефект срещу диабет, високо кръвно налягане, възпалителни състояния, увреждане на стените на кръвоносните съдове и други. Здравните ползи от консумацията на овес се дължат основно на разтворимата влакнина β-глюкан и на уникалните полифеноли авенантрамиди. Плодовете на аронията (Aronia melanocarpa) са изобилни на важни биологично активни вещества, които проявяват антимикробни, антиканцерогенни и антивирусни свойства. Изобилни количества антоциани се намитат от аронията, но тяхната биодостъпност е ограничена. Като цяло усвоимостта на полифенолните съединения е затруднена, но ферментацията може да бъде ефективен метод да се увеличи биодостъпността на полифенилите в хранителната матрица. Functional foods include conventional foods that contain biologically active substance (e.g. fibers); foods enriched with biologically active substances (e.g. probiotics and antioxidants) as well as food ingredients that are isolated from one food and added to traditional foods aiming at increasing their nutritional value (e.g. prebiotics). The fermented oat beverages are functional foods due to the symbiosis between the probiotic starter culture of lactic acid bacteria and prebiotic fiber β–glucan. Oat products are unique thanks to the high nutritional value as well as the therapeutic effect against diabetes, high blood pressure, inflammation, damage to the walls of blood vessels and others. The health benefits of consuming oats are mainly due to the soluble dietary fiber β-glucan and the unique polyphenols – avenanthramides. The fruits of chokeberry (Aronia melanocarpa) are abundant in important biologically active substances that exhibit antimicrobial, anti-carcinogenic and antiviral properties. Abundant anthocyanins are present in chokeberry, but their bioavailability is limited. The digestibility of polyphenolic compounds is scarce in general, but the fermentation can be an effective method to increase the bioavailability of polyphenols in the food matrix.

Published
2020

14. Stress and worry in the 2020 coronavirus pandemic: relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey

Author

Lieberoth, Andreas, primary, Lin, Shiang-Yi, additional, Stöckli, Sabrina, additional, Han, Hyemin, additional, Kowal, Marta, additional, Gelpi, Rebekah, additional, Chrona, Stavroula, additional, Tran, Thao Phuong, additional, Jeftić, Alma, additional, Rasmussen, Jesper, additional, Cakal, Huseyin, additional, Milfont, Taciano L., additional, Lieberoth, Andreas, additional, Yamada, Yuki, additional, Amin, Rizwana, additional, Debove, Stephane, additional, Gelpí, Rebekah, additional, Flis, Ivan, additional, Sahin, Hafize, additional, Turk, Fidan, additional, Yeh, Yao-Yuan, additional, Ho, Yuen Wan, additional, Sikka, Pilleriin, additional, Delgado-Garcia, Guillermo, additional, Lacko, David, additional, Mamede, Salomé, additional, Zerhouni, Oulmann, additional, Tuominen, Jarno, additional, Bircan, Tuba, additional, Wang, Austin Horng-En, additional, Ikizer, Gozde, additional, Lins, Samuel, additional, Studzinska, Anna, additional, Uddin, Muhammad Kamal, additional, Juárez, Fernanda Pérez-Gay, additional, Chen, Fang-Yu, additional, Sanli, Aybegum Memisoglu, additional, Lys, Agnieszka E., additional, Reynoso-Alcántara, Vicenta, additional, González, Rubén Flores, additional, Griffin, Amanda M., additional, López, Claudio Rafael Castro, additional, Nezkusilova, Jana, additional, Ćepulić, Dominik-Borna, additional, Aquino, Sibele, additional, Marot, Tiago A., additional, Blackburn, Angélique M., additional, Boullu, Loïs, additional, Bavolar, Jozef, additional, Kacmar, Pavol, additional, Wu, Charles K. S., additional, Areias, João Carlos, additional, Natividade, Jean C., additional, Mari, Silvia, additional, Ahmed, Oli, additional, Dranseika, Vilius, additional, Cristofori, Irene, additional, Coll-Martín, Tao, additional, Eichel, Kristina, additional, Kumaga, Raisa, additional, Ermagan-Caglar, Eda, additional, Bamwesigye, Dastan, additional, Tag, Benjamin, additional, Contreras-Ibáñez, Carlos C., additional, Aruta, John Jamir Benzon R., additional, Naidu, Priyanka A., additional, Tran, Thao P., additional, Dilekler, İlknur, additional, Čeněk, Jiří, additional, Islam, Md. Nurul, additional, Ch'ng, Brendan, additional, Sechi, Cristina, additional, Nebel, Steve, additional, Sayılan, Gülden, additional, Jha, Shruti, additional, Vestergren, Sara, additional, Ihaya, Keiko, additional, Guillaume, Gautreau, additional, Travaglino, Giovanni A., additional, Rachev, Nikolay R., additional, Hanusz, Krzysztof, additional, Pírko, Martin, additional, West, J. Noël, additional, Cyrus-Lai, Wilson, additional, Najmussaqib, Arooj, additional, Romano, Eugenia, additional, Noreika, Valdas, additional, Musliu, Arian, additional, Sungailaite, Emilija, additional, Kosa, Mehmet, additional, Lentoor, Antonio G., additional, Sinha, Nidhi, additional, Bender, Andrew R., additional, Meshi, Dar, additional, Bhandari, Pratik, additional, Byrne, Grace, additional, Jeftic, Alma, additional, Kalinova, Kalina, additional, Hubena, Barbora, additional, Ninaus, Manuel, additional, Díaz, Carlos, additional, Scarpaci, Alessia, additional, Koszałkowska, Karolina, additional, Pankowski, Daniel, additional, Yaneva, Teodora, additional, Morales-Izquierdo, Sara, additional, Uzelac, Ena, additional, Lee, Yookyung, additional, Hristova, Dayana, additional, Hakim, Moh Abdul, additional, Deschrijver, Eliane, additional, Kavanagh, Phillip S., additional, Shata, Aya, additional, Reyna, Cecilia, additional, De Leon, Gabriel A., additional, Tisocco, Franco, additional, Mola, Débora Jeanette, additional, Shani, Maor, additional, Mahlungulu, Samkelisiwe, additional, Ozery, Daphna Hausman, additional, Caniëls, Marjolein C. J., additional, Correa, Pablo Sebastián, additional, Ortiz, María Victoria, additional, Vilar, Roosevelt, additional, Makaveeva, Tsvetelina, additional, Pummerer, Lotte, additional, Nikolova, Irina, additional, Bujić, Mila, additional, Szebeni, Zea, additional, Pennato, Tiziana, additional, Taranu, Mihaela, additional, Martinez, Liz, additional, Capelos, Tereza, additional, Belaus, Anabel, additional, and Dubrov, Dmitrii, additional

Published
2021
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16. SOFTWARE DEVELOPMENT FOR OBJECTIVE AUTOMATIC COUNTING OF LACTIC ACID BACTERIAL COLONIES GROWN IN MRS AGAR.

Author

Danev, Angel, Yaneva, Teodora, Bosakova-Ardenska, Atanaska, Gabrova, Radoslava, and Angelov, Angel

Subjects
BACTERIAL colonies, AGAR, COMPUTER software development, DIGITAL counters, LACTIC acid bacteria, FOOD quality
Abstract

Microbiological analyses are a significant part of food production and food quality evaluation. A commonly used method for food quality evaluation is the identification whether the food is contaminated with microbiological agents or not. This identification is performed by determining the total microbial number in a taken certain sample which (determining) can be done by counting bacterial colonies. Nowadays, there are manual, semi-automatic and automatic methods for counting bacterial colonies. The automatic methods require the usage of special systems rather quite expensive hardware and software. In comparison the manual counting is a cheaper solution but it is a time consuming method and it is subjective. This paper presents a computer based approach for objective and automatic counting of lactic acid bacterial colonies grown in a MRS agar. The research is based on a previous research of possibilities for application of open-source software for microbiological analyses. A group of petri dishes with MRS agar and Lactobacillus plantarum Pro are captured by a digital camera. A software for digital images processing with graphical user interface is developed. The application is used for automatic detection and counting of bacterial colonies. It is developed in object oriented programing language Java as a plugin for a well-known open-source software -- ImageJ. The program is tested in the University of Food Technologies - Plovdiv. A comparison analyze of the results obtained using the developed software is performed with the results obtained using manual counting. The analysis shows that the proposed software can be successfully used for automatic detection and counting of the lactic acid bacterial colonies grown in the MRS agar. [ABSTRACT FROM AUTHOR]

Published
2021

17. Effects of interleukin-27 on human CD8 T Cells

Author

Yaneva, Teodora and Arbour, Nathalie

Subjects
Granzyme, Cytokine receptor, Cytométrie en flux, Interféron, Interferon, Flow cytometry, Cytokine, Récepteur de cytokine
Abstract

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal.

Published
2008

21. COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

Author

Yamada, Yuki, Ćepulić, Dominik-Borna, Coll-Martín, Tao, Debove, Stéphane, Gautreau, Guillaume, Han, Hyemin, Rasmussen, Jesper, Tran, Thao P., Travaglino, Giovanni A., Lieberoth, Andreas, Blackburn, Angélique M., Boullu, Loïs, Bujić, Mila, Byrne, Grace, Caniëls, Marjolein C. J., Flis, Ivan, Kowal, Marta, Rachev, Nikolay R., Reynoso-Alcántara, Vicenta, Zerhouni, Oulmann, Ahmed, Oli, Amin, Rizwana, Aquino, Sibele, Areias, João Carlos, Aruta, John Jamir Benzon R., Bamwesigye, Dastan, Bavolar, Jozef, Bender, Andrew R., Bhandari, Pratik, Bircan, Tuba, Cakal, Huseyin, Capelos, Tereza, Čeněk, Jiří, Ch’ng, Brendan, Chen, Fang-Yu, Chrona, Stavroula, Contreras-Ibáñez, Carlos C., Correa, Pablo Sebastián, Cristofori, Irene, Cyrus-Lai, Wilson, Delgado-Garcia, Guillermo, Deschrijver, Eliane, Díaz, Carlos, Dilekler, İlknur, Dranseika, Vilius, Dubrov, Dmitrii, Eichel, Kristina, Ermagan-Caglar, Eda, Gelpí, Rebekah, González, Rubén Flores, Griffin, Amanda, Hakim, Moh Abdul, Hanusz, Krzysztof, Ho, Yuen Wan, Hristova, Dayana, Hubena, Barbora, Ihaya, Keiko, Ikizer, Gozde, Islam, Md. Nurul, Jeftic, Alma, Jha, Shruti, Juárez, Fernanda Pérez-Gay, Kacmar, Pavol, Kalinova, Kalina, Kavanagh, Phillip S., Kosa, Mehmet, Koszałkowska, Karolina, Kumaga, Raisa, Lacko, David, Lee, Yookyung, Lentoor, Antonio G., De Leon, Gabriel A., Lin, Shiang-Yi, Lins, Samuel, López, Claudio Rafael Castro, Lys, Agnieszka E., Mahlungulu, Samkelisiwe, Makaveeva, Tsvetelina, Mamede, Salomé, Mari, Silvia, Marot, Tiago A., Martinez, Liz, Meshi, Dar, Mola, Débora Jeanette, Morales-Izquierdo, Sara, Musliu, Arian, Naidu, Priyanka A., Najmussaqib, Arooj, Natividade, Jean C., Nebel, Steve, Nezkusilova, Jana, Nikolova, Irina, Ninaus, Manuel, Noreika, Valdas, Ortiz, María Victoria, Ozery, Daphna Hausman, Pankowski, Daniel, Pennato, Tiziana, Pírko, Martin, Pummerer, Lotte, Reyna, Cecilia, Romano, Eugenia, Sahin, Hafize, Sanli, Aybegum Memisoglu, Sayılan, Gülden, Scarpaci, Alessia, Sechi, Cristina, Shani, Maor, Shata, Aya, Sikka, Pilleriin, Sinha, Nidhi, Stöckli, Sabrina, Studzinska, Anna, Sungailaite, Emilija, Szebeni, Zea, Tag, Benjamin, Taranu, Mihaela, Tisocco, Franco, Tuominen, Jarno, Turk, Fidan, Uddin, Muhammad Kamal, Uzelac, Ena, Vestergren, Sara, Vilar, Roosevelt, Wang, Austin Horng-En, West, J. Noël, Wu, Charles K. S., Yaneva, Teodora, and Yeh, Yao-Yuan

Subjects
Data Descriptor, 631/477/2811, 706/689/477, data-descriptor, 3. Good health
Abstract

Funder: Consejo Nacional de Ciencia y Tecnología (CONCYT); doi: https://doi.org/10.13039/501100007350, Funder: Research Foundation Flanders (FWO) postdoctoral fellowship, Funder: The HSE University Basic Research Program, Funder: JSPS KAKENHI Grant JP20K14222, This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.

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