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1. Opportunities for monitoring the comfort of children living in substitute families for sustainable social development

Author

Zaluzhnaya Maria, Bayer Elena, Chekalenko Elena, Grigoryan Narine, and Illarionova Alla

Subjects
Microbiology, QR1-502, Physiology, QP1-981, Zoology, QL1-991
Abstract

This article reflects the monitoring indicators from the research of living conditions in substitute families in the South of Russia. The authors present some study results of the living comfort in a substitute family, namely the relationships with foster parents; interaction with blood and other foster children in the family; the psycho-emotional state; physical, mental, and emotional violence in a foster family; the desire to live in a substitute family. The monitoring was carried out among 76 foster children being brought up in substitute families of the Azov city and the Azov district of the Rostov region and accompanied by the Azov Child Care Centre. The results obtained are of great importance for specialists of support services for substitute families, as well as researchers whose scientific interest is focused on studying substitute family care in Russia. The research has been carried out within the framework of the Ministry of General and Vocational Education order of the Rostov Region No. 747 of 28 July 2022 “On measures to assess the level of comfort of a child’s stay in a substitute family”.

Published
2023
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5. The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism

Author

Bressan, Elisangela, Reed, Xylena, Bansal, Vikas, Hutchins, Elizabeth, Cobb, Melanie M, Webb, Michelle G, Alsop, Eric, Grenn, Francis P, Illarionova, Anastasia, Savytska, Natalia, Violich, Ivo, Broeer, Stefanie, Fernandes, Noémia, Sivakumar, Ramiyapriya, Beilina, Alexandra, Billingsley, Kimberley J, Berghausen, Joos, Pantazis, Caroline B, Pitz, Vanessa, Patel, Dhairya, Daida, Kensuke, Meechoovet, Bessie, Reiman, Rebecca, Courtright-Lim, Amanda, Logemann, Amber, Antone, Jerry, Barch, Mariya, Kitchen, Robert, Li, Yan, Dalgard, Clifton L, Center, The American Genome, Rizzu, Patrizia, Hernandez, Dena G, Hjelm, Brooke E, Nalls, Mike, Gibbs, J Raphael, Finkbeiner, Steven, Cookson, Mark R, Van Keuren-Jensen, Kendall, Craig, David W, Singleton, Andrew B, Heutink, Peter, and Blauwendraat, Cornelis

Subjects
Biological Sciences, Genetics, Stem Cell Research - Induced Pluripotent Stem Cell - Human, Stem Cell Research - Induced Pluripotent Stem Cell, Neurosciences, Stem Cell Research, Aging, Parkinson's Disease, Neurodegenerative, Brain Disorders, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, American Genome Center, Parkinson disease, dopaminergic neurons, genetic risk, induced pluripotent stem cell, omics single-cell RNA sequencing single-cell ATAC sequencing SNCA LRRK2 GBA1
Abstract

The Foundational Data Initiative for Parkinson Disease (FOUNDIN-PD) is an international collaboration producing fundamental resources for Parkinson disease (PD). FOUNDIN-PD generated a multi-layered molecular dataset in a cohort of induced pluripotent stem cell (iPSC) lines differentiated to dopaminergic (DA) neurons, a major affected cell type in PD. The lines were derived from the Parkinson's Progression Markers Initiative study, which included participants with PD carrying monogenic PD variants, variants with intermediate effects, and variants identified by genome-wide association studies and unaffected individuals. We generated genetic, epigenetic, regulatory, transcriptomic, and longitudinal cellular imaging data from iPSC-derived DA neurons to understand molecular relationships between disease-associated genetic variation and proximate molecular events. These data reveal that iPSC-derived DA neurons provide a valuable cellular context and foundational atlas for modeling PD genetic risk. We have integrated these data into a FOUNDIN-PD data browser as a resource for understanding the molecular pathogenesis of PD.

Published
2023

8. Counter-Pandemic Vector of Remote Learning for University Students: Risks and Benefits of Educational Process Large-Scale Digitalization

Author

Tavstukha, Olga G., Osiyanova, Olga M., Chelpachenko, Tatiana V., Yudina, Anna M., Ovchinnikov, Oleg M., Illarionova, Lyudmila P., Gereev, Zelimkhan G., and Aleksandrova, Natalia S.

Abstract

The relevance of this study is due to the challenges of the global pandemic, which has led to the large-scale development of education digitalization. In this regard, this article is devoted to revealing the features of remote learning in the context of a global pandemic, identifying the risks and benefits of digital learning. The article reveals the discursive content of the counter-pandemic vector of distance learning for University students; defines the classification of risks and advantages of large-scale digitalization of students' remote learning. Based on the results of the study, the authors justified the consolidated model of students distance learning, the counter-pandemic vector of which is a large-scale digitalization of the University educational process. The effectiveness of the model is proved by the results of its use in the process of large-scale digitalization of students' remote learning in the context of a global pandemic. The materials of the article have practical application and can be useful in the development and implementation of digital educational complexes. They are recommended to teachers and students of the University, methodologists, curators, Tutors.

Published
2021

14. Student Attitude to Distance Education: Pros and Cons

Author

Illarionova, Lyudmila P., Karzhanova, Natalya V., Ishmuradova, Alfia M., Nazarenko, Sergey V., Korzhuev, Andrey V., and Ryazanova, Elena L.

Abstract

This article is aimed at identifying the peculiarities of students' attitude to distance education. As a leading method, the questionnaire method was used, which made it possible to identify the students' positive and negative attitudes regarding distance learning more effectively. The article considers students' ideas about distance learning, identifies the positive and negative aspects of the distance learning process. The authors of the article in the process of research revealed that many students of various fields of study are interested in participating in distance courses, but within the framework of mastering a second education. Some students note the usefulness of distance courses, the use of their materials at any time, and the convenience of going back to the materials they have completed at any time to fill in gaps or recall a topic. Some students reported a violation of the educational process in the distance format due to the repeated lack of Internet or its poor quality. Most of the students expressed dissatisfaction with the lack of contact communication in the distance learning process. It is proved that the majority of students believe that distance education will never replace traditional education. Mainly students of technical areas of study gave a negative assessment of the distance education system. It was revealed that students of various fields of study took distance courses that were held in other cities or countries. From the point of view of many students, educational websites have an inconvenient interface.

Published
2021

15. Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks

Author

Illarionova, Svetlana, Shadrin, Dmitrii, Trekin, Alexey, Ignatiev, Vladimir, and Oseledets, Ivan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The near-infrared (NIR) spectral range (from 780 to 2500 nm) of the multispectral remote sensing imagery provides vital information for the landcover classification, especially concerning the vegetation assessment. Despite the usefulness of NIR, common RGB is not always accompanied by it. Modern achievements in image processing via deep neural networks allow generating artificial spectral information, such as for the image colorization problem. In this research, we aim to investigate whether this approach can produce not only visually similar images but also an artificial spectral band that can improve the performance of computer vision algorithms for solving remote sensing tasks. We study the generative adversarial network (GAN) approach in the task of the NIR band generation using just RGB channels of high-resolution satellite imagery. We evaluate the impact of a generated channel on the model performance for solving the forest segmentation task. Our results show an increase in model accuracy when using generated NIR comparing to the baseline model that uses only RGB (0.947 and 0.914 F1-score accordingly). Conducted study shows the advantages of generating the extra band and its implementation in applied challenges reducing the required amount of labeled data.

Published
2021

16. Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation

Author

Illarionova, Svetlana, Nesteruk, Sergey, Shadrin, Dmitrii, Ignatiev, Vladimir, Pukalchik, Mariia, and Oseledets, Ivan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Today deep convolutional neural networks (CNNs) push the limits for most computer vision problems, define trends, and set state-of-the-art results. In remote sensing tasks such as object detection and semantic segmentation, CNNs reach the SotA performance. However, for precise performance, CNNs require much high-quality training data. Rare objects and the variability of environmental conditions strongly affect prediction stability and accuracy. To overcome these data restrictions, it is common to consider various approaches including data augmentation techniques. This study focuses on the development and testing of object-based augmentation. The practical usefulness of the developed augmentation technique is shown in the remote sensing domain, being one of the most demanded ineffective augmentation techniques. We propose a novel pipeline for georeferenced image augmentation that enables a significant increase in the number of training samples. The presented pipeline is called object-based augmentation (OBA) and exploits objects' segmentation masks to produce new realistic training scenes using target objects and various label-free backgrounds. We test the approach on the buildings segmentation dataset with six different CNN architectures and show that the proposed method benefits for all the tested models. We also show that further augmentation strategy optimization can improve the results. The proposed method leads to the meaningful improvement of U-Net model predictions from 0.78 to 0.83 F1-score.

Published
2021

18. Quantitative tracking of trans-synaptic nose-to-brain transport of nanoparticles and its modulation by odor, aging, and Parkinson’s disease

Author

Romashchenko, Alexander V., Petrovskii, Dmitrii V., Trotsky, Sergey Yu., Morozova, Ksenia N., Illarionova, Nina B., Zhukova, Maria V., Kiseleva, Elena V., Sharapova, Marina B., Zuev, Daniil S., Kuper, Konstantin E., Taskaev, Sergey Yu., Kasatova, Anna I., Kasatov, Dmitrii A., Solovieva, Olga I., Razumov, Ivan A., Gerlinskaya, Ludmila A., Moshkin, Mikhail P., and Moshkin, Yuri M.

Published
2023
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21. Author Correction: Elucidating causative gene variants in hereditary Parkinson’s disease in the Global Parkinson’s Genetics Program (GP2)

Author

Lange, Lara M., Avenali, Micol, Ellis, Melina, Illarionova, Anastasia, Keller Sarmiento, Ignacio J., Tan, Ai-Huey, Madoev, Harutyun, Galandra, Caterina, Junker, Johanna, Roopnarain, Karisha, Solle, Justin, Wegel, Claire, Fang, Zih-Hua, Heutink, Peter, Kumar, Kishore R., Lim, Shen-Yang, Valente, Enza Maria, Nalls, Mike, Blauwendraat, Cornelis, Singleton, Andrew, Mencacci, Niccolo, Lohmann, Katja, and Klein, Christine

Published
2023
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22. Elucidating causative gene variants in hereditary Parkinson’s disease in the Global Parkinson’s Genetics Program (GP2)

Author

Lange, Lara M., Avenali, Micol, Ellis, Melina, Illarionova, Anastasia, Keller Sarmiento, Ignacio J., Tan, Ai-Huey, Madoev, Harutyun, Galandra, Caterina, Junker, Johanna, Roopnarain, Karisha, Solle, Justin, Wegel, Claire, Fang, Zih-Hua, Heutink, Peter, Kumar, Kishore R., Lim, Shen-Yang, Valente, Enza Maria, Nalls, Mike, Blauwendraat, Cornelis, Singleton, Andrew, Mencacci, Niccolo, Lohmann, Katja, and Klein, Christine

Published
2023
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23. Author Correction: The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data

Author

Leonard, Hampton L., Murtadha, Ruqaya, Martinez-Carrasco, Alejandro, Jama, Alina, Müller-Nedebock, Amica Corda, Gil-Martinez, Ana-Luisa, Illarionova, Anastasia, Moore, Anni, Bustos, Bernabe I., Jadhav, Bharati, Huxford, Brook, Storm, Catherine, Towns, Clodagh, Vitale, Dan, Chetty, Devina, Yu, Eric, Grenn, Francis P., Salazar, Gabriela, Rateau, Geoffrey, Iwaki, Hirotaka, Elsayed, Inas, Foote, Isabelle Francesca, Jansen van Rensburg, Zuné, Kim, Jonggeol Jeff, Yuan, Jie, Lake, Julie, Brolin, Kajsa, Senkevich, Konstantin, Wu, Lesley, Tan, Manuela M. X., Periñán, María Teresa, Makarious, Mary B., Ta, Michael, Pillay, Nikita Simone, Betancor, Oswaldo Lorenzo, Reyes-Pérez, Paula R., Alvarez Jerez, Pilar, Saini, Prabhjyot, al-Ouran, Rami, Sivakumar, Ramiya, Real, Raquel, Reynolds, Regina H., Hu, Ruifneg, Abrahams, Shameemah, Rao, Shilpa C., Antar, Tarek, Leal, Thiago Peixoto, Iankova, Vassilena, Scotton, William J., Song, Yeajin, Singleton, Andrew, Nalls, Mike A., Dey, Sumit, Bandres-Ciga, Sara, Blauwendraat, Cornelis, and Noyce, Alastair J.

Published
2023
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24. The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data

Author

Leonard, Hampton L., Murtadha, Ruqaya, Martinez-Carrasco, Alejandro, Jama, Alina, Müller-Nedebock, Amica Corda, Gil-Martinez, Ana-Luisa, Illarionova, Anastasia, Moore, Anni, Bustos, Bernabe I., Jadhav, Bharati, Huxford, Brook, Storm, Catherine, Towns, Clodagh, Vitale, Dan, Chetty, Devina, Yu, Eric, Grenn, Francis P., Salazar, Gabriela, Rateau, Geoffrey, Iwaki, Hirotaka, Elsayed, Inas, Foote, Isabelle Francesca, Jansen van Rensburg, Zuné, Kim, Jonggeol Jeff, Yuan, Jie, Lake, Julie, Brolin, Kajsa, Senkevich, Konstantin, Wu, Lesley, Tan, Manuela M. X., Periñán, María Teresa, Makarious, Mary B., Ta, Michael, Pillay, Nikita Simone, Betancor, Oswaldo Lorenzo, Reyes-Pérez, Paula R., Alvarez Jerez, Pilar, Saini, Prabhjyot, al-Ouran, Rami, Sivakumar, Ramiya, Real, Raquel, Reynolds, Regina H., Hu, Ruifneg, Abrahams, Shameemah, Rao, Shilpa C., Antar, Tarek, Leal, Thiago Peixoto, Iankova, Vassilena, Scotton, William J., Song, Yeajin, Singleton, Andrew, Nalls, Mike A., Dey, Sumit, Bandres-Ciga, Sara, Blauwendraat, Cornelis, and Noyce, Alastair J.

Published
2023
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29. Exploring User Attitude Towards Personal Data Privacy and Data Privacy Economy

Author

Zambas, Maria, Illarionova, Alisa, Christou, Nikoletta, Dionysiou, Ioanna, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Daimi, Kevin, editor, and Al Sadoon, Abeer, editor

Published
2023
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32. Identification of genetic risk loci and causal insights associated with Parkinson's disease in African and African admixed populations: a genome-wide association study

Author

Okubadejo, Njideka, Ojo, Oluwadamilola, Abiodun, Oladunni, Achoru, Charles, Agabi, Osigwe, Agulanna, Uchechi, Akinyemi, Rufus, Ali, Mohammed, Ani-Osheku, Ifeyinwa, Arigbodi, Ohwotemu, Bello, Abiodun, Erameh, Cyril, Farombi, Temitope, Fawale, Michael, Imarhiagbe, Frank, Iwuozo, Emmanuel, Komolafe, Morenikeji, Nwani, Paul, Nwazor, Ernest, Nyandaiti, Yakub, Obiabo, Yahaya, Odeniyi, Olanike, Odiase, Francis, Ojini, Francis, Onwuegbuzie, Gerald, Osaigbovo, Godwin, Osemwegie, Nosakhare, Oshinaike, Olajumoke, Otubogun, Folajimi, Oyakhire, Shyngle, Ozomma, Simon, Samuel, Sarah, Taiwo, Funmilola, Wahab, Kolawole, Zubair, Yusuf, Gams Massi, Daniel, Gueumekane Bila lamou, Eric, Njamnshi Nfor, Leonard, Magnerou, Mélanie Annick, Fogang Fogoum, Yannick, Shalash, Ali, El-FawaI, Hassan, Khedr, Eman, Fawi, Gharib, A. Eltantawi, Mohamed, Salama, Mohamed, El-Jaafary, Shaimaa, Hamed, Sharifa, Tafesse Mengesha, Abenet, Alemayehu Ayele, Biniyam, Melka Oda, Dereje, Zenebe Zewde, Yared, Debebe Gelan, Yohanesse, AkpaIu, Albert, Charway-Felli, Augustina, Stephen Sarfo, Fred, Adjei, Patrick, Obese, Vida, Bocoum, Abdoulaye, Koita, Abdou, Oumar Guinto, Cheick, Coulibaly, Toumany, Maiga, Youssoufa, Kone, Zaynab, Bell, Abiodun, Adebowale, Akintunde A., Akpekpe, John, lyagba, Alagoma, Wulgo, Ali Mohammed, Arabambi, Babawale, Agu, Christian, Dike, Franklin, Ishola, Ismail, Abiodun, Kehinde, Ekenze, Oluchi, Agabi Osigwe, Paul, Balarabe, Salisu, Abubakar, Sani, Williams, Uduak, Fall, Maouly, Mamadou Diop, Alassane, Hilaire Dominique, Ewodo Touna, Mochan, Andre, Modi, Girish, Dindayal, Saiesha, Ali Awadelkareem, Eman, Elsayed, Inas, Dahawi, Maha, Awadelkareem, Mosab Ali, Misbah, Sarah, Mushengez, Brighton, Kimambo, Henrika, Msango, Leonard, Adebayo, Philip, OKeng, Kigocha, Diekker, Marieke, URassa, Sarah, Gouider, Riadh, Ben Djebara, Mouna, Gargouri, Amina, Kacem, Imen, Nasri, Amina, Mrabet, Saloua, Sghaier, Ikram, Mkada, Imen, Atadzhanov, Masharip, Chishimba, Lorraine, Rizig, Mie, Jama, Fatumah, Okunoye, Olaitan, Hardy, John, Houlden, Henry, Singleton, Andrew, Nalls, Mike, Shamim, Ejaz, Jonas, Cabell, Williamson, Jared, Hall, Deborah A., Rosenbaum, Marc, Davis, Staci, Dean, Marissa, Cromer, Candace, Smith, Jenna, Ruffrage, Lauren, Richardson, Joseph, Sipma, Rebeka, Xie, Tao, Padmanaban, Manesh, Warren, Natalie, Mercado, Tomas, Disbrow, Elizabeth, Chauppeta, Brian, Thomas-Dean, Fermine, Toms, Jamie, Lofton, Katelyn, Rawls, Ashley, Rizer, Kyle, Black, Nieci, Solle, Justin, O'Grady, Alyssa, Sherer, Todd, Fiske, Brian, Başak, A. Nazlı, Tan, Ai Huey, Noyce, Alastair, Akpalu, Albert, Espay, Alberto, Martínez-Carrasco, Alejandro, Medina, Alex, Zimprich, Alexander, Brice, Alexis, Karimova, Altynay, Hernandez, Alvaro, Illarionova, Anastasia, Quattrone, Andrea, Singleton, Andrew B, Sobering, Andrew K., Vinuela, Angel, Sanyaolu, Arinola, Schumacher-Schuh, Artur F., Kishore, Asha, Ahmad-Annuar, Azlina, Al Mubarak, Bashayer, Tang, Beisha, Pizarro Galleguillos, Benjamin, Jeon, Beomseok, Siddiqi, Bernadette, Casey, Bradford, Mollenhauer, Brit, Carroll, Camille, Rieder, Carlos, Pantazis, Caroline B., Comart, Charisse, Lin, Chin-Hsien, Klein, Christine, Bale, Claire, Shepherd, Claire E, Wegel, Claire, Blauwendraat, Cornelis, Vitale, Dan, Martinez-Ramirez, Daniel, Hall, Deborah, Hernandez, Dena, KP, Divya, Nguyen, Duan, Fon, Edward A., Dadiotis, Efthymios, Riley, Ekemini, Iakovenko, Elena, Stafford, Ellie, Gatto, Emilia M, Valente, Enza Maria, Vollstedt, Eva-Juliane, Faghri, Faraz, Genc, Gencer, Xiromerisiou, Georgia, Hadjigorgiou, Georgios, Hiu-Fai Chan, Germaine, Arboleda, Gonzalo, Kaishibayeva, Gulnaz, Höglinger, Günter, Leonard, Hampton, Madoev, Harutyun, Iwaki, Hirotaka, Chen, Honglei, Wu, Hsiu-Chuan, Shang, Huifang, Morris, Huw R, F. Mata, Ignacio, Keller Sarmiento, Ignacio Juan, Dagklis, Ioannis, Tarnanas, Ioannis, Aasly, Jan O., Hoenicka, Janet, Corvol, Jean-Christophe, Foo, Jia Nee, Guo, Jifeng, Junker, Johanna, Carr, Jonathan, Kim, Jonggeol Jeff, Orozco, Jorge, Jankovic, Joseph, Shulman, Joshua, Hunter, Julie, Solle, Justin C., Murphy, Kaileigh, Nuytemans, Karen, Kieburtz, Karl, Lohmann, Katja, Marek, Kenneth, Mok, Kin Ying, Kumar, Kishore, Levine, Kristin, Chahine, Lana M., Lange, Lara M., Pihlstrøm, Lasse, Screven, Laurel, Stefanis, Leonidas, Shulman, Lisa, Marsili, Luca, Parnetti, Lucilla, Kuhl, Maggie, Funayama, Manabu, Sharma, Manu, Tan, Manuela, Kauffman, Marcelo, Miranda, Marcelo, Bustamante, Maria Leonor, Stamelou, Maria, Periñan Tocino, Maria Teresa, Cornejo-Olivas, Mario, Jimenez del Rio, Marlene, Makarious, Mary B, Koretsky, Mathew, Rodriguez-Violante, Mayela, Ellis, Melina, Avenali, Micol, Rentería, Miguel E., Inca-Martines, Miguel z, Nalls, Mike A., Ibrahim Norlinah, Mohamed, Umair, Muhammad, Ip, Nancy, Louie, Naomi, Cheung, Nelson Yuk-Fai, Mencacci, Niccolò Emanuele, Wood, Nicholas, Williams, Nigel, Hattori, Nobutaka, Abdul Murad, Nor Azian, Ibrahim, Norlinah Mohamed, Monchi, Oury, Öztop Çakmak, Özgür, Öztop Çakmak, Patricio Öztop Çakmak, Lewis, Patrick Alfryn, Pastor, Pau, Reyes-Pérez, Paula, Saffie Awad, Paula, Chana, Pedro, Chan, Phillip, Kung, Pin-Jui, Chan, Piu, Pal, Pramod, Lingappa Kukkle, Prashanth, Ojha, Rajeev, Kaiyrzhanov, Rauan, Krüger, Rejko, Amouri, Rim, Weil, Rimona, Rajan, Roopa, Alcalay, Roy, Wu, Ruey-Meei, Borgohain, Rupam, Sassi, Samia Ben, Khachatryan, Samson, Bandres-Ciga, Sara, El-Sadig, Sarah, Wu, Serena, Groppa, Sergio, Azmin, Shahrul, Lim, Shen-Yang, Ur-Rehman, Shoaib, Ertan, Sibel, Stott, Simon, Jasaitye, Simona, Chowdhury, Sohini, Dumanis, Sonya, Bardien, Soraya, Lubbe, Steven, Koks, Sulev, Dey, Sumit, Foroud, Tatiana, Fon, Ted, Beach, Thomas, Gasser, Thomas, Anderson, Tim, Nguyen, Toan, Schirinzi, Tommaso, Shiraishi, Tomotaka, Pitcher, Toni, Tumas, Vitor, Mohamed, Wael, Kamel, Walaa A., Luo, Wei, Zhou, Xiaopu, Zewde, Yared Z., Song, Yeajin, Wen, Yi, Wu, Yihru, Joong Kim, Yun, Tavadyan, Zaruhi, Fang, Zih-Hua, Ojo, Oluwadamilola Omolara, Crea, Peter Wild, Abiodun, Oladunni Victoria, Levine, Kristin S, Abubakar, Sani Atta, Achoru, Charles Obiora, Adeniji, Olaleye Akinmola, Agabi, Osigwe Paul, Koretsky, Mathew J, Hall, Deborah A, Akinyemi, Rufus Olusola, Ali, Mohammed Wulgo, Shamim, Ejaz A, Padmanaban, Mahesh, Arigbodi, Ohwotemu Michael, Standaert, David G, Bello, Abiodun Hamzat, Dean, Marissa N, Erameh, Cyril Oshomah, Farombi, Temitope Hannah, Fawale, Michael Bimbola, Billingsley, Kimberley J, Imarhiagbe, Frank Aiwansoba, Jerez, Pilar Alvarez, Iwuozo, Emmanuel Uzodinma, Baker, Breeana, Komolafe, Morenikeji Adeyoyin, Malik, Laksh, Nwani, Paul Osemeke, Daida, Kensuke, Nwazor, Ernest Okwundu, Miano-Burkhardt, Abigail, Nyandaiti, Yakub Wilberforce, Obiabo, Yahaya Olugbo, Kluss, Jillian H, Odeniyi, Olanike Adedoyin, Hernandez, Dena G, Odiase, Francis Ehidiamen, Tayebi, Nahid, Ojini, Francis Ibe, Sidranksy, Ellen, Onwuegbuzie, Gerald Awele, D'Souza, Andrea M, Osaigbovo, Godwin Osawaru, Berhe, Bahafta, Reed, Xylena, Oshinaike, Olajumoke Olufemi, Leonard, Hampton L, Otubogun, Folajimi Morenikeji, Alvarado, Chelsea X, Oyakhire, Shyngle Imiewan, Ozomma, Simon Izuchukwu, Samuel, Sarah Chabiri, Taiwo, Funmilola Tolulope, Wahab, Kolawole Wasiu, Zubair, Yusuf Agboola, Kim, Jonggeol Jeffrey, Nalls, Mike A, Heilbron, Karl, Norcliffe-Kaufmann, Lucy, and Okubadejo, Njideka Ulunma

Published
2023
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40. Immunogenicity and protectivity of intranasally delivered vector-based heterologous prime-boost COVID-19 vaccine Sputnik V in mice and non-human primates

Author

Amir I. Tukhvatulin, Ilya V. Gordeychuk, Inna V. Dolzhikova, Alina S. Dzharullaeva, Marina E. Krasina, Ekaterina O. Bayurova, Daria M. Grousova, Anna V. Kovyrshina, Alla S. Kondrashova, Daria V. Avdoshina, Stanislav A. Gulyaev, Tatiana V. Gulyaeva, Andrey V. Moroz, Viktoria V. Illarionova, Ilya D. Zorkov, Anna A. Iliukhina, Artem Y. Shelkov, Andrei G. Botikov, Alina S. Erokhova, Dmitry V. Shcheblyakov, Ilias B. Esmagambetov, Olga V. Zubkova, Elisaveta A. Tokarskaya, Daria M. Savina, Yulia R. Vereveyko, Anastasiya S. Ungur, Boris S. Naroditsky, Aydar A. Ishmukhametov, Denis Y. Logunov, and Alexander L. Gintsburg

Subjects
Sputnik V, Gam-COVID-Vac, intranasal vaccine, SARS-CoV-2, COVID-19, Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502
Abstract

Although unprecedented efforts aiming to stop the COVID-19 pandemic have been made over the past two years, SARSCoV-2 virus still continues to cause intolerable health and economical losses. Vaccines are considered the most effective way to prevent infectious diseases, which has been reaffirmed for COVID-19. However, in the context of the continuing virus spread because of insufficient vaccination coverage and emergence of new variants of concern, there is a high demand for vaccination strategy amendment. The ability to elicit protective immunity at the entry gates of infection provided by mucosal vaccination is key to block virus infection and transmission. Therefore, these mucosal vaccines are believed to be a “silver bullet” that could bring the pandemic to an end. Here, we demonstrate that the intranasally delivered Gam-COVID-Vac (Sputnik V) vaccine induced a robust (no less than 180 days) systemic and local immune response in mice. High immunogenic properties of the vaccine were verified in non-human primates (common marmosets) by marked IgG and neutralizing antibody (NtAb) production in blood serum, antigen-specific Tcell proliferation and cytokine release of peripheral blood mononuclear cells accompanied by formation of IgA antibodies in the nasal mucosa. We also demonstrate that Sputnik V vaccine can provide sterilizing immunity in K18-hACE2 transgenic mice exposed to experimental lethal SARS-CoV-2 infection protecting them against severe lung immunopathology and mortality. We believe that intranasal Sputnik V vaccine is a promising novel needle-free mucosal vaccine candidate for primary immunization as well as for revaccination and is worth further clinical investigation.

Published
2022
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47. Regulating Ecosystem Services in Russian Cities: Can Urban Green Infrastructure Cope with Air Pollution and Heat Islands?

Author

Illarionova, O., Klimanova, O., Kolbovsky, Yu., Brilly, Mitja, Advisory Editor, Davis, Richard A., Advisory Editor, Hoalst-Pullen, Nancy, Advisory Editor, Leitner, Michael, Advisory Editor, Patterson, Mark W., Advisory Editor, Veress, Márton, Advisory Editor, Vasenev, Viacheslav, editor, Dovletyarova, Elvira, editor, Valentini, Riccardo, editor, Cheng, Zhongqi, editor, Calfapietra, Carlo, editor, Inostroza, Luis, editor, and Leuchner, Michael, editor

Published
2021
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50. PRACTICAL APPROACHES TO PREVENTION OF FIRES IN RESIDENTIAL BUILDINGS DUE TO VIOLATION OF RULES OF INSTALLATION AND OPERATION OF FURNACE HEATING

Author

Natalia V. Peregudova, Pavel P. Kononko, Nadezhda M. Illarionova, and Ekaterina A. Filatova

Subjects
furnace heating, installation of furnace equipment, operation of furnace equipment, buildings with furnace heating, fires in residential sector, operating rules, furnace equipment in residential buildings, Systems of building construction. Including fireproof construction, concrete construction, TH1000-1725
Abstract

The article analyzes the dynamics of number of fires caused by violation of rules of operation and installation of furnace equipment. And also there are analyzed the number of injured and dead as a result of fires in the residential sector. There are considered the main regulatory legal acts in the field of installation and operation of furnace equipment on the Russian Federation territory. The basic operating rules of furnace equipment in residential buildings are formulated.

Published
2021
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