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3,312 results on '"A. Noboa"'

1. A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models

Author

Karsai, Márton, Kertész, János, and Espín-Noboa, Lisette

Subjects
Physics - Physics and Society, Computer Science - Computers and Society, Computer Science - Machine Learning
Abstract

Poverty map inference has become a critical focus of research, utilizing both traditional and modern techniques, ranging from regression models to convolutional neural networks applied to tabular data, satellite imagery, and networks. While much attention has been given to validating models during the training phase, the final predictions have received less scrutiny. In this study, we analyze the International Wealth Index (IWI) predicted by Lee and Braithwaite (2022) and Esp\'in-Noboa et al. (2023), alongside the Relative Wealth Index (RWI) inferred by Chi et al. (2022), across six Sub-Saharan African countries. Our analysis reveals trends and discrepancies in wealth predictions between these models. In particular, significant and unexpected discrepancies between the predictions of Lee and Braithwaite and Esp\'in-Noboa et al., even after accounting for differences in training data. In contrast, the shape of the wealth distributions predicted by Esp\'in-Noboa et al. and Chi et al. are more closely aligned, suggesting similar levels of skewness. These findings raise concerns about the validity of certain models and emphasize the importance of rigorous audits for wealth prediction algorithms used in policy-making. Continuous validation and refinement are essential to ensure the reliability of these models, particularly when they inform poverty alleviation strategies., Comment: 14 pages (main + references) + 8 pages (appendix). Accepted at the 9th Workshop on Data Science for Social Good, SoGood 2024, held in conjunction with ECML PKDD 2024, at Vilnius, Lithuania

Published
2024

2. Cumulative Advantage of Brokerage in Academia

Author

Bachmann, Jan, Espín-Noboa, Lisette, Iñiguez, Gerardo, and Karimi, Fariba

Subjects
Physics - Physics and Society, Computer Science - Social and Information Networks, Physics - Data Analysis, Statistics and Probability, 62P25, 91D30, J.4
Abstract

Science is a collaborative endeavor in which "who collaborates with whom" profoundly influences scientists' career trajectories and success. Despite its relevance, little is known about how scholars facilitate new collaborations among their peers. In this study, we quantify brokerage in academia and study its effect on the careers of physicists worldwide. We find that early-career participation in brokerage increases later-stage involvement for all researchers, with increasing participation rates and greater career impact among more successful scientists. This cumulative advantage process suggests that brokerage contributes to the unequal distribution of success in academia. Surprisingly, this affects both women and men equally, despite women being more junior in all brokerage roles and lagging behind men's participation due to their late and slow arrival to physics. Because of its cumulative nature, promoting brokerage opportunities to early career scientists might help reduce the inequalities in academic success.

Published
2024

3. PB1971: FREQUENCY AND CHARACTERISTICS OF DEL(6Q) IN PATIENTS WITH MULTIPLE MYELOMA FROM LATIN-AMERICAN COUNTRIES. A REAL-WORLD STUDY

Author

F. Stella, P. Leone, E. Pedrazzini, C. Galvano, S. Zurita, M. Coccé, M. Gallego, N. Schultz, G. Alfonso, J. Canelos Moreno, A. Noboa, F. Huamán Garaicoa, C. Paz y Miño, M. Ziembar, P. Ochoa, P. Duarte, M. Quatrin, F. Colombi Martínez, D. Fernández, S. Cugliari, F. Uturbey, C. Peña, and I. Slavutsky

Subjects
Diseases of the blood and blood-forming organs, RC633-647.5
Published
2022
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5. Social network modeling and applications, a tutorial

Author

Espín-Noboa, Lisette, Peixoto, Tiago, and Karimi, Fariba

Subjects
Computer Science - Social and Information Networks, Computer Science - Discrete Mathematics, Physics - Data Analysis, Statistics and Probability
Abstract

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performance, and epidemic spread. Today, these and many more issues can be studied at global scale thanks to the digital footprints that we generate when browsing the Web or using social media platforms. Unfortunately, scientists often struggle to access to such data primarily because it is proprietary, and even when it is shared with privacy guarantees, such data is either no representative or too big. In this tutorial, we will discuss recent advances and future directions in network modeling. In particular, we focus on how to exploit synthetic networks to study real-world problems such as data privacy, spreading dynamics, algorithmic bias, and ranking inequalities. We start by reviewing different types of generative models for social networks including node-attributed and scale-free networks. Then, we showcase how to perform a network selection analysis to characterize the mechanisms of edge formation of any given real-world network., Comment: Presented at The ACM Web Conference 2023

Published
2023
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6. The Heritagescape of Kichwa People of Nizag Built upon Traditional Plant Usage along a Chimborazo Variant of the Andean Road System or Qhapaq Ñan

Author

Carlos Renato Chávez Velásquez, Alba Maritza Sinaluisa Pilco, Luis Felipe Lema Palaquibay, Paola Alexandra Velasteguí Arévalo, Juan Enrique Ureña Moreno, Alden Mauro Yépez Noboa, James Brandon Latimer, and Fausto O. Sarmiento

Subjects
heritagescape, ethnobotany, wild plant, Kichwa people, Qhapaq Ñan, traditional knowledge, Geography (General), G1-922
Abstract

To document the dynamics of biocultural heritage, we studied traditional uses of plants on a segment of the Andean Road System, or Qhapaq Ñan, within the central Andes of Ecuador, home of the Kichwa community of Nizag. Here, residents preserved a rich diversity of plants within their agricultural fields, or chakra, of the Andean landscapes, upholding a culture steeped in traditional knowledge. Wild and domesticated plants are a cornerstone for the community, prompting the development of ethnobotanical management strategies with a conservation approach. The diverse plant uses aim to revalue their culture, fortify their self-identification as an indigenous community, and ensure the transmission of ancestral knowledge. This research aims to ascertain the ethnobotanical applications of this venerable community. Employing participatory action research, semistructured interviews were conducted with 43 community informants to gather ethnobotanical data on the flora applied within their territory, spanning categories such as food, agriculture, crafts, living fences, construction, fuel, ornamental, environmental, technological, and medicinal services. The findings indicate that age, rather than educational level and gender, significantly influences the variation in plant usage knowledge. In total, 142 plant species were cataloged, comprising herbs (58%), shrubs (23%), trees (15%), and climbers (4%). The most represented families were Asteraceae, Fabaceae, Lamiaceae, and Poaceae. Notably, 96% of these species provide some type of environmental service or fulfill a niche within the socioecological system. Medicinal uses were reported for 89% of the plants, while 56% served agricultural purposes, primarily in fertilizer production and forage. Additionally, 44% of the plants are utilized as food, typically consumed fresh. Among the medicinal plants, leaves are the most used part (58%), prepared as infusions and poultices. The prevalent ailments addressed include respiratory and urinary system conditions, with Borago officinalis, Carica pentagona, Vasconcellea pubescens, and Origanum mejorana being the most frequently employed plants.

Published
2024
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7. Interpreting wealth distribution via poverty map inference using multimodal data

Author

Espín-Noboa, Lisette, Kertész, János, and Karsai, Márton

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society, Physics - Physics and Society, H.1, H.4, I.2, J.4, K.4
Abstract

Poverty maps are essential tools for governments and NGOs to track socioeconomic changes and adequately allocate infrastructure and services in places in need. Sensor and online crowd-sourced data combined with machine learning methods have provided a recent breakthrough in poverty map inference. However, these methods do not capture local wealth fluctuations, and are not optimized to produce accountable results that guarantee accurate predictions to all sub-populations. Here, we propose a pipeline of machine learning models to infer the mean and standard deviation of wealth across multiple geographically clustered populated places, and illustrate their performance in Sierra Leone and Uganda. These models leverage seven independent and freely available feature sources based on satellite images, and metadata collected via online crowd-sourcing and social media. Our models show that combined metadata features are the best predictors of wealth in rural areas, outperforming image-based models, which are the best for predicting the highest wealth quintiles. Our results recover the local mean and variation of wealth, and correctly capture the positive yet non-monotonous correlation between them. We further demonstrate the capabilities and limitations of model transfer across countries and the effects of data recency and other biases. Our methodology provides open tools to build towards more transparent and interpretable models to help governments and NGOs to make informed decisions based on data availability, urbanization level, and poverty thresholds., Comment: 12 pages. In Proceedings of the ACM Web Conference 2023 (WWW'23)

Published
2023
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10. Artroplastia total de cadera no cementada con techo armado en coxartrosis displásica, seguimiento medio de 7 años

Author

E. Barros-Prieto, E. Noboa-Freile, C. Peñaherrera-Carrillo, F. Endara-Urresta, A. Barros-Castro, N. Vizuete-Cevallos, and A. Romero-Barros

Subjects
Congenital hip dislocation, Secondary hip osteoarthritis, Autologous osseous transplantation, Arthroplasty, Hip replacement, Orthopedic surgery, RD701-811
Abstract

Resumen: La displasia del desarrollo de cadera es causante de aproximadamente un tercio de coxartrosis secundarias. Las alteraciones de la anatomía dificultan la colocación de prótesis total de cadera en su posición anatómica y que la misma sea estable a largo plazo; hay varias técnicas para lograr ese objetivo. En el presente trabajo utilizamos autoinjerto de la cabeza femoral (shelf graft o techo armado), para mejorar la cobertura del componente acetabular con resultados favorables.Materiales y métodos Se incluyeron 16 casos en 14 pacientes con diagnóstico de displasia del desarrollo de cadera (13 mujeres y un hombre), la edad media fue de 44,3 años (rango 35-68 años), con un seguimiento medio de 7 años (rango 1-15 años). Todos los casos fueron valorados clínica y radiográficamente, para demostrar la osteointegración del injerto y los resultados funcionales a mediano plazo. Resultados: Todo los componentes acetabulares se colocaron en posición anatómica (técnica de Ranawat), el porcentaje medio de cobertura del hueso huésped fue de 54,53% (rango 43,28-79,05%), obteniéndose una cobertura adicional con el injerto óseo de 45,13%. Osteointegración del injerto del 100% a las 12 semanas, reabsorción del injerto a partir del sexto mes, estabilizándose al tercer año postoperatorio. Solo se reporta un caso de luxación, ningún caso de infección, aflojamiento, osificación heterotópica o revisión. Conclusión: Este procedimiento ha demostrado buenos resultados funcionales a medio plazo con osteointegración del 100%, a pesar de presentarse casos de reabsorción ósea severa del injerto que no compromete la estabilidad de la prótesis. Abstract: Developmental dysplasia of the hip is the cause of approximately one third of secondary coxarthrosis. Anatomy alterations make it difficult to place a total hip prosthesis in its anatomical position and for it to be stable in the long term; there are several techniques to achieve this goal. In the present work, we used autograft of the femoral head (shelf graft or reinforced roof), to improve the coverage of the acetabular component with favorable results. Materials ad methods: Sixteen cases were included in 14 patients with a diagnosis of developmental dysplasia of the hip (13 women and one man), the mean age was 44.3 years (range 35–68 years), with a mean follow-up of 7 years (range 1–15 years). All the cases were evaluated clinically and radiographically, to demonstrate the osseointegration of the graft and the functional results in the medium term. Results: All the acetabular components were placed in anatomical position (Ranawat technique), the mean percentage of host bone coverage was 54.53% (range 43.28–79.05%), obtaining additional coverage with the bone graft of 45.13%. Osseointegration of the graft of 100% at 12 weeks, resorption of the graft from the sixth month, stabilizing in the third postoperative year. Only one case of dislocation is reported, no cases of infection, loosening, heterotopic ossification or revision. Conclusion: This procedure has shown good functional results in the medium term with 100% osseointegration, despite cases of severe bone resorption of the graft that does not compromise the stability of the prosthesis.

Published
2024
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11. Managing a Pregnancy in the Presence of the Rare Blood Group Antibody PP1Pk

Author

Alexandra Bonmat?-Santan?, Roberto C?spedes L?pez, Jehimy Jean Alvarez Saltos, Jordi Calabia Mart?nez, Cristina Noboa Paez, Jordi Piedra S?nchez, Natalia Visa Figueredo, and Anna Maroto Gonz?lez

Subjects
plasmapheresis, anti-PP1Pk, autologous blood donation, miscarriage, p phenotype, Gynecology and obstetrics, RG1-991, Public aspects of medicine, RA1-1270
Abstract

Pregnant women with p phenotype, who lack antigens P, P1, and Pk, spontaneously form anti-PP1Pk antibodies whose primary target is the placenta. The risk of miscarriage in these women is 50%?70% and reaches 87% in the second trimester. The therapies aim to reduce the titer of antibodies early in pregnancy. They also have risk of hemolytic transfusion reaction, with very few compatible red blood cell donors in the world. In this study, we present a case of successful pregnancy managed with autologous blood donations and plasmapheresis.

Published
2024
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12. Link recommendations: Their impact on network structure and minorities

Author

Ferrara, Antonio, Espín-Noboa, Lisette, Karimi, Fariba, and Wagner, Claudia

Subjects
Computer Science - Social and Information Networks, Physics - Physics and Society
Abstract

Network-based people recommendation algorithms are widely employed on the Web to suggest new connections in social media or professional platforms. While such recommendations bring people together, the feedback loop between the algorithms and the changes in network structure may exacerbate social biases. These biases include rich-get-richer effects, filter bubbles, and polarization. However, social networks are diverse complex systems and recommendations may affect them differently, depending on their structural properties. In this work, we explore five people recommendation algorithms by systematically applying them over time to different synthetic networks. In particular, we measure to what extent these recommendations change the structure of bi-populated networks and show how these changes affect the minority group. Our systematic experimentation helps to better understand when link recommendation algorithms are beneficial or harmful to minority groups in social networks. In particular, our findings suggest that, while all algorithms tend to close triangles and increase cohesion, all algorithms except Node2Vec are prone to favor and suggest nodes with high in-degree. Furthermore, we found that, especially when both classes are heterophilic, recommendation algorithms can reduce the visibility of minorities., Comment: 11 pages, accepted at the WebSci'22 conference

Published
2022
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16. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

Author

Zhou, Bin, Bennett, James E, Wickham, Aidan P, Singleton, Rosie K, Mishra, Anu, Carrillo-Larco, Rodrigo M, Ikeda, Nayu, Jain, Lakshya, Barradas-Pires, Ana, Heap, Rachel A, Lhoste, Victor PF, Sheffer, Kate E, Phelps, Nowell H, Rayner, Archie W, Gregg, Edward W, Woodward, Mark, Stevens, Gretchen A, Iurilli, Maria LC, Danaei, Goodarz, Di Cesare, Mariachiara, Aguilar-Salinas, Carlos A, Ahmad, Noor Ani, Bovet, Pascal, Chen, Zhengming, Damasceno, Albertino, Filippi, Sarah L, Janszky, Imre, Kengne, Andre P, Khang, Young-Ho, Khunti, Kamlesh, Laxmaiah, Avula, Lim, Lee-Ling, Lissner, Lauren, Margozzini, Paula, Mbanya, Jean Claude N, McGarvey, Stephen T, Shaw, Jonathan E, Söderberg, Stefan, Soto-Mota, Luis Adrián, Wang, Junyang, Zaccardi, Francesco, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Aekplakorn, Wichai, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkhatib, Buthaina M, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amougou, Norbert, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Bahijri, Suhad, Bajramovic, Izet, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Basit, Abdul, Bastos, Joao Luiz, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bettiol, Heloísa, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boggia, Jose G, Bogova, Elena, Bonaccio, Marialaura, Bonilla-Vargas, Alice, Borghs, Herman, Botomba, Steve, Bourne, Rupert, Boymatova, Khadichamo, Braeckman, Lutgart, Braithwaite, Tasanee, Brajkovich, Imperia, Branca, Francesco, Brenner, Hermann, Brewster, Lizzy M, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brug, Johannes, Bugge, Anna, Buntinx, Frank, Buoncristiano, Marta, Burns, Con, Cabrera de León, Antonio, Caixeta, Roberta B, Cama, Tilema, Can, Günay, Cândido, Ana Paula C, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Casanueva, Felipe F, Casas, Maribel, Censi, Laura, Cervantes‐Loaiza, Marvin, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Queenie, Chaturvedi, Nish, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Chong, Chean Lin, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Cohen, Emmanuel, Confortin, Susana C, Coppinger, Tara C, Cortés, Lilia Yadira, Cosmin, Cojocaru R, Costanzo, Simona, Cowan, Melanie J, Cowell, Chris, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Cucu, Alexandra M, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva-Ferreira, Haroldo, Dahm, Christina C, Dallongeville, Jean, Dankner, Rachel, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, de Oliveira, Paula Duarte, de Paiva, Karina Mary, De Ridder, Karin, de Valois Correia Júnior, Marco Aurélio, Deepa, Mohan, DeGennaro, Vincent Jr, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Donoso, Silvana P, Dorobantu, Maria, Dörr, Marcus, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Duleva, Vesselka L, Dushpanova, Anar, Dyussupova, Azhar, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eghtesad, Sareh, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Elosua, Roberto, Enang, Ofem, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Esmaeili, Ali, Evans, Roger G, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farzadfar, Farshad, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Fernando, Desha R, Ferrante, Daniel, Ferrari, Gerson, Ferrari, Marika, Ferreccio, Catterina, Ferrer, Eldridge, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galfo, Myriam, Garcia-de-la-Hera, Manoli, Garcia, Pablo, Garnett, Sarah P, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Godara, Ramesh, Godos, Justyna, Goldberg, Marcel, Gómez, Georgina, Gómez Gómez, Jesús Humberto, Gomez, Luis F, Gómez, Santiago F, Gomula, Aleksandra, Gonçalves Cordeiro da Silva, Bruna, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D, Gonzalez-Chica, David A, González-Gil, Esther M, Gonzalez-Gross, Marcela, González-Rivas, Juan P, Gonzalez, Angel R, Gottrand, Frederic, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Grodzicki, Tomasz, Grøholt, Else Karin, Grøntved, Anders, Guajardo, Viviana, Guallar-Castillón, Pilar, Guerchet, Maëlenn, Guerrero, Ramiro, Guimaraes, Andre L, Gujral, Unjali P, Gulliford, Martin C, Gunter, Marc J, Gupta, Rajeev, Gureje, Oye, Gurinović, Mirjana A, Gurzkowska, Beata, Gutierrez, Laura, Gwee, Xinyi, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hanekom, Willem A, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hardy, Louise, Hari Kumar, Rachakulla, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Heinen, Mirjam, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M, Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hoogendijk, Emiel O, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huidumac Petrescu, Constanta, Huisman, Martijn, Husseini, Abdullatif, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iakupova, Ellina M, Iannone, Anna G, Igland, Jannicke, Ijoma, Chinwuba, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Ivanova-Pandourska, Ivaila Y, Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T, Jaddou, Hashem Y, Jadoul, Michel, Jafar, Tazeen, Jan, Nataša, Janus, Edward, Jarani, Juel, Jarnig, Gerald, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jha, Anjani Kumar, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J, Jonas, Jost B, Joshi, Pradeep, Joshi, Rohina, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J, Juolevi, Anne, Juresa, Vesna, Jureša, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kadvan, Agnes L, Kafatos, Anthony, Kajantie, Eero O, Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Karki, Khem B, Kassi Anicet, Adoubi, Katibeh, Marzieh, Katulanda, Prasad, Katzmarzyk, Peter T, Kauhanen, Jussi, Kazakbaeva, Gyulli M, Kaze, François F, Ke, Calvin, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kersting, Mathilde, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J, Kiechl, Stefan, Kim, Hyeon Chang, Klakk, Heidi, Klanarong, Suntara, Klanova, Jana, Klimek, Magdalena, Knoflach, Michael, Kobel, Susanne, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Koussoh Simone, Malik, Kovács, Éva, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F, Krokstad, Steinar, Kruger, Herculina S, Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kumari, Meena, Kunešová, Marie, Kurjata, Pawel, Kyobutungi, Catherine, La, Quang Ngoc, Labadarios, Demetre, Lachat, Carl, Lai, Daphne, Laid, Youcef, Lall, Lachmie, Landaeta Jimenez, Maritza, Landais, Edwige, Lankila, Tiina, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Lateva, Mina P, Latt, Tint Swe, Laurenzi, Martino, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Lehtimäki, Terho, Lemogoum, Daniel, Leong, Elvynna, Leszczak, Justyna, Leung, Gabriel M, Li, Yanping, Liivak, Merike, Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lind, Lars, Litwin, Mieczyslaw, Liu, Liping, Liu, Xiaotian, Longo Abril, Guadalupe, Lopes, Oscar, Lopez-Garcia, Esther, López-Gil, José Francisco, Lopez, Tania, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, M'Buyamba-Kabangu, Jean-René, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Madar, Ahmed A, Maestre, Gladys E, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Makdisse, Marcia, Malekpour, Mohammad-Reza, Malekzadeh, Fatemeh, Malekzadeh, Reza, Mallikharjuna Rao, Kodavanti, Malyutina, Sofia, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Mapatano, Mala Ali, Maria-Magdalena, Rosu, Mariño, Joany, Markaki, Anastasia, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Maruszczak, Katharina, Masala, Giovanna, Mascarenhas, Luis P, Masimango Imani, Mannix, Masinaei, Masoud, Mathiesen, Ellisiv B, Matijasevich, Alicia, Matłosz, Piotr, Matsha, Tandi E, Matsudo, Victor, Matteo, Giletta, Maulik, Pallab K, Mavrogianni, Christina, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McLean, Rachael M, Mediene Benchekor, Sounnia, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Melgarejo, Jesus D, Méndez, Fabián, Mendivil, Carlos O, Mendoza Montano, Carlos, Menezes, Ana Maria B, Mensink, Gert BM, Mereke, Alibek, Meshram, Indrapal I, Meto, Diane T, Meyer, Haakon E, Mi, Jie, Miłkowska, Karolina, Miller, Jody C, Milushkina, Olga, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Miranda, J Jaime, Mirjalili, Mohammad Reza, Mišigoj-Duraković, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monroy-Valle, Michele M, Montenegro Mendoza, Roger A, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moradpour, Farhad, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Moslem, Alireza, Mosquera, Mildrey, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muca, Florian, Mugoša, Boban, Munroe, Patricia B, Mursu, Jaakko, Musa, Kamarul Imran, Musić Milanović, Sanja, Musil, Vera, Musinguzi, Geofrey, Mustafa, Norlaila, Muyer, Muel Telo Marie-Claire, Nabipour, Iraj, Naidu, Balkish M, Najafi, Farid, Nalecz, Hanna, Námešná, Jana, Narayan, KM Venkat, Naseri, Take, Nathalie, Michels, Neelapaichit, Nareemarn, Nejatizadeh, Azim, Nenko, Ilona, Nervi, Flavio, Neuhauser, Hannelore K, Ng, Tze Pin, Nguyen, Chung T, Nguyen, Quang V, Nguyen, Quang Ngoc, Ni, Michael Y, Nie, Peng, Nieto-Martínez, Ramfis E, Niiranen, Teemu J, Ninomiya, Toshiharu, Nishi, Nobuo, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norton, Kevin I, Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nurk, Eha, Nuwaha, Fred, Nyirenda, Moffat, O'Neill, Terence W, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Odili, Augustine N, Oh, Kyungwon, Ohtsuka, Ryutaro, Oldenburg, Brian, Olié, Valérie, Omar, Mohd Azahadi, Omar, Saeed M, Onat, Altan, Ong, Sok King, Onland-Moret, N Charlotte, Ono, Lariane M, Onodugo, Obinna, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Ottendahl, Charlotte B, Otu, Akaninyene, Overvad, Kim, Owusu-Dabo, Ellis, Padez, Cristina P, Pagkalos, Ioannis, Pajula, Natalja, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panza, Francesco, Paoli, Mariela, Papadopoulou, Sousana K, Pareja, Rossina G, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pavlyshyn, Halyna, Pechlaner, Raimund, Pećin, Ivan, Pedro, João M, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Karen GDA, Peres, Marco A, Perez-Londoño, Agustín, Pérez, Cynthia M, Peterkova, Valentina, Petrovna Kovtun, Olga, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pierre-Marie, Preux, Pikhart, Hynek, Pilav, Aida, Piler, Pavel, Piwonska, Aleksandra, Pizarro, Andreia N, Plata, Silvia, Pop, Raluca M, Popkin, Barry M, Popovic, Stevo R, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Prista, Antonio, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Soile, Puiu, Maria, Punab, Margus, Qorbani, Mostafa, Quialheiro, Anna, Quintana, Hedley K, Quiroga-Padilla, Pedro J, Quoc Bao, Tran, Rach, Stefan, Rahimikazerooni, Salar, Rahman, Mahmudur, Raitakari, Olli, Rakhmatulloev, Sherali, Rakovac, Ivo, Ramachandran, Ambady, Ramadan, Otim PC, Ramirez-Zea, Manuel, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Ramsay, Sheena E, Rangel Junior, João FLB, Rangel Reina, Daniel A, Rangelova, Lalka S, Rarra, Vayia, Rashidi, Mohammad-Mahdi, Rech, Cassiano Ricardo, Redon, Josep, Regecová, Valéria, Renner, Jane DP, Repasy, Judit A, Reuter, Cézane P, Revilla, Luis, Reynolds, Andrew, Rezaei, Negar, Rezaianzadeh, Abbas, Riboli, Elio, Rigo, Fernando, Rigotti, Attilio, Riley, Leanne M, Rinke de Wit, Tobias F, Risérus, Ulf, Ritti-Dias, Raphael M, Roa, Reina G, Roccaldo, Romana, Rodríguez-Artalejo, Fernando, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Rodríguez, Andrea Y, Roggenbuck, Ulla, Rohloff, Peter, Rojas-Martinez, Rosalba, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Rubinstein, Adolfo, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Ruiz Moreno, Emma, Rusakova, Iuliia A, Rusek, Wojciech, Rust, Petra, Rutkowski, Marcin, Saamel, Marge, Sabbaghi, Hamideh, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Saghi, Mohammad Hossien, Saidi, Olfa, Saieva, Calogero, Sakata, Satoko, Saki, Nader, Šalaj, Sanja, Salazar Martinez, Eduardo, Salkhanova, Akkumis, Salonen, Jukka T, Samoutian, Margarita, Sánchez-Abanto, Jose, Sánchez Rodríguez, Inés, Santos, Diana A, Santos, Ina S, Santos, Maria Paula, Santos, Tamara R, Saramies, Jouko L, Sardinha, Luis B, Sarganas, Giselle, Sarrafzadegan, Nizal, Saum, Kai-Uwe, Savin, Stefan, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Amand Floriaan, Schmidt, Börge, Schmidt, Carsten O, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Sein, Aye Aye, Sen, Abhijit, Sepanlou, Sadaf G, Sequera, Guillermo, Ševčíková, Ľudmila, Sewpaul, Ronel, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shiri, Rahman, Shoranov, Marat, Shrestha, Namuna, Si-Ramlee, Khairil, Sibai, Abla M, Sidossis, Labros S, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Sjöström, Michael, Skoblina, Natalia A, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, Smith, Lee, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Soemantri, Agustinus, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sørgjerd, Elin P, Sorić, Maroje, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sousa-Poza, Alfonso, Spiroski, Igor, Staessen, Jan A, Stang, Andreas, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Sturua, Lela, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sulo, Gerhard, Sundström, Johan, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sylva, René Charles, Szponar, Lucjan, Tai, E Shyong, Tambalis, Konstantinos D, Tamosiunas, Abdonas, Tanabayev, Baimakhan, Tanrygulyyeva, Maya, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Thankappan, KR, Theodoridis, Xenophon, Thirunavukkarasu, Sathish, Thomas, Nihal, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolstrup, Janne S, Topbas, Murat, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trivedi, Atul, Tshepo, Lechaba, Tsintavis, Panagiotis, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Turley, Maria L, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Vasan, Senthil K, Vasques, Daniel G, Vega, Tomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verdot, Charlotte, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Verstraeten, Roosmarijn, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Virtanen, Jyrki K, Visser, Marjolein, Viswanathan, Bharathi, Vladulescu, Mihaela, Völzke, Henry, Voutilainen, Ari, Vrijheid, Martine, Wade, Alisha N, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Webster-Kerr, Karen, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Westbury, Leo, Whincup, Peter H, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wilks, Rainford J, Willeit, Karin, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wu, Frederick C, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Li, Yan, Weili, Yang, Yang, Yépez García, Martha, Yoosefi, Moein, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusoff, Ahmad Faudzi, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zhang, Bing, Zhang, Zhen-Yu, Zhecheva, Yanitsa V, Zholdin, Bekbolat, Zimmet, Paul, Zins, Marie, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

Published
2024
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17. Control of wilt disease caused by Fusarium sp. in the cultivation of stocks (Matthiola incana)

Author

Eliana Granja Guerra, Neptali Nolberto Noboa Andino, Richard Alcides Molina Álvarez, Alex Mauricio Albán Santana, Marlon Brainer Caicedo Villafuerte, and Néstor Santiago Luzón Toscano

Subjects
Matthiola incana. Stocks. Bacillus Subtilis. Trichoderma sp. Severity., Agriculture, Agriculture (General), S1-972, Environmental sciences, GE1-350
Abstract

In greenhouse cultivation of stock (Matthiola incana), the main causative agent of its death is the fungus Fusarium sp., especially in the early phenological stages, resulting in significant losses during the first four weeks of cultivation. Therefore, the objective of this study was to evaluate phytosanitary control techniques (chemical, biological, and antibiotics) to reduce Fusarium sp. infection in stock (Matthiola incana) cultivation. The experiment was conducted in a randomized block design with five treatments (control; chemical products; biological products, antibiotics, and product combinations) and three replications. The chemical active ingredients used were aluminum phosphite, iprodione, captan, and Hymexazol. Biological solutions included Trichoderma sp. and Bacillus subtilis, while antibiotics used were Weed Pirocontrole, Kasugamicin, Polioxin B, Azoxystrobin, and Kresoxym methyl. Additionally, product combinations were evaluated, such as Fosetyl aluminum, Bacillus subtilis, Polioxin B, Hymexazol, and Azoxystrobin. Control efficacy was measured based on the severity of fungal growth in culture, while mortality represented the loss rate at the end of the experiment. The combined treatment of techniques was superior, with a mortality rate of 13.77%, compared to the 63.00% recorded in the absolute control group. These results underscore the importance of an integrated approach to Fusarium sp. control in stock cultivation, emphasizing the effectiveness of combining different phytosanitary techniques to minimize losses and promote successful production.

Published
2024
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18. [Translated article] Total hip arthroplasty with shelf acetabuloplasty in dysplastic coxarthrosis, mean follow-up of 7 years

Author

E. Barros-Prieto, E. Noboa-Freile, C. Peñaherrera-Carrillo, F. Endara-Urresta, A. Barros-Castro, N. Vizuete-Cevallos, and A. Romero-Barros

Subjects
Dislocación congénita de cadera, Osteoartritis secundaria de cadera, Trasplante óseo autólogo, Artroplastia, Reemplazo de cadera, Orthopedic surgery, RD701-811
Abstract

Introduction: Developmental dysplasia of the hip is the cause of approximately one third of secondary coxarthrosis. Anatomy alterations make it difficult to place a total hip prosthesis in its anatomical position and for it to be stable in the long term; there are several techniques to achieve this goal. In the present work, we used autograft of the femoral head (shelf graft or reinforced roof), to improve the coverage of the acetabular component with favourable results. Materials and methods: Sixteen cases were included in 14 patients with a diagnosis of developmental dysplasia of the hip (13 women and one man), the mean age was 44.3 years (range 35–68 years), with a mean follow-up of 7 years (range 1–15 years). All the cases were evaluated clinically and radiographically, to demonstrate the osseointegration of the graft and the functional results in the medium term. Results: All the acetabular components were placed in anatomical position (Ranawat technique), the mean percentage of host bone coverage was 54.53% (range 43.28–79.05%), obtaining additional coverage with the bone graft of 45.13%. Osseointegration of the graft of 100% at 12 weeks, resorption of the graft from the sixth month, stabilising in the third postoperative year. Only one case of dislocation is reported, no cases of infection, loosening, heterotopic ossification or revision. Conclusion: This procedure has shown good functional results in the medium term with 100% osseointegration, despite cases of severe bone resorption of the graft that does not compromise the stability of the prosthesis. Resumen: Introducción: La displasia del desarrollo de cadera es causante de aproximadamente un tercio de las coxartrosis secundarias. Las alteraciones de la anatomía dificultan la colocación de prótesis total de cadera en su posición anatómica, y que la misma sea estable a largo plazo; hay varias técnicas para lograr ese objetivo. En el presente trabajo utilizamos autoinjerto de la cabeza femoral (shelf graft o techo armado), para mejorar la cobertura del componente acetabular con resultados favorables. Materiales y métodos: Se incluyeron 16 casos en 14 pacientes con diagnóstico de displasia del desarrollo de cadera (13 mujeres y un varón), la edad media fue de 44,3 años (rango: 35-68 años), con un seguimiento medio de 7 años (rango: 1-15 años). Todos los casos fueron valorados clínica y radiográficamente, para demostrar la osteointegración del injerto y los resultados funcionales a mediano plazo. Resultados: Todos los componentes acetabulares se colocaron en posición anatómica (técnica de Ranawat), el porcentaje medio de cobertura del hueso huésped fue del 54,53% (rango: 43,28-79,05%), obteniéndose una cobertura adicional con el injerto óseo del 45,13%. Osteointegración del injerto del 100% a las 12 semanas, reabsorción del injerto a partir del sexto mes, estabilizándose al tercer año postoperatorio. Solo se reporta un caso de luxación, ningún caso de infección, aflojamiento, osificación heterotópica o revisión. Conclusión: Este procedimiento ha demostrado buenos resultados funcionales a medio plazo con osteointegración del 100%, a pesar de presentarse casos de reabsorción ósea severa del injerto que no compromete la estabilidad de la prótesis.

Published
2024
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20. Inequality and Inequity in Network-based Ranking and Recommendation Algorithms

Author

Espín-Noboa, Lisette, Wagner, Claudia, Strohmaier, Markus, and Karimi, Fariba

Subjects
Computer Science - Social and Information Networks, Computer Science - Data Structures and Algorithms, Physics - Physics and Society
Abstract

Though algorithms promise many benefits including efficiency, objectivity and accuracy, they may also introduce or amplify biases. Here we study two well-known algorithms, namely PageRank and Who-to-Follow (WTF), and show to what extent their ranks produce inequality and inequity when applied to directed social networks. To this end, we propose a directed network model with preferential attachment and homophily (DPAH) and demonstrate the influence of network structure on the rank distributions of these algorithms. Our main findings suggest that (i) inequality is positively correlated with inequity, (ii) inequality is driven by the interplay between preferential attachment, homophily, node activity and edge density, and (iii) inequity is driven by the interplay between homophily and minority size. In particular, these two algorithms reduce, replicate and amplify the representation of minorities in top ranks when majorities are homophilic, neutral and heterophilic, respectively. Moreover, when this representation is reduced, minorities may improve their visibility in the rank by connecting strategically in the network. For instance, by increasing their out-degree or homophily when majorities are also homophilic. These findings shed light on the social and algorithmic mechanisms that hinder equality and equity in network-based ranking and recommendation algorithms., Comment: 23 pages, 7 figures and 3 tables in main manuscript. Includes supplementary material

Published
2021
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21. Floristic Composition and Diversity of a Transect in a Locality of the Lowland Evergreen Forest of the Amazon of Cuyabeno City

Author

G. Vasquez, J. Caranqui, N. Lara, and V. Noboa

Subjects
floristic composition, lowland evergreen forest, cuyabeno., Science (General), Q1-390
Abstract

Abstract The present research determined the high diversity and structure of the lowland evergreen forest of the Amazon in a locality (Rey de los Andes) of Cuyabeno city, since there is no updated information on this important biome. The linear transect methodology of 0.1 hectares was applied along the river and separated 2 m from the edge, all trees and shrubs with a diameter at breast height greater than 10 cm were measured, fertile botanical samples were collected and were processed and identified in the CHEP Herbarium. A total of 86 individuals were obtained between trees and shrubs distributed in 20 families, 39 genera, and 41 species, and a basal area of 10.95 m2 was obtained. The dominant family was Fabaceae with seven genera and the most frequent species were Astrocaryum urostachys, Celtis sp., and Leonia crassa. The highest importance value index was 15.56% for Astrocaryum urostachys and 10.33% for Otoba glycycarpa and the Simpson Diversity Index was 0.96. The diameters obtained were classified into 3 diameter classes, where Class I was made up of 68 individuals, which represents 79.07% of the total. It is concluded that the forest of the Rey de los Andes community has a high diversity of tree and shrub species. Likewise, considering the type of vegetation found, list of species, site, and diameters obtained, it can be stated that it is a well-preserved forest.

Published
2023
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23. Sex-Related Outcomes of Transcatheter Aortic Valve Implantation With Self-Expanding or Balloon-Expandable Valves: Insights from the OPERA-TAVI Registry

Author

Adamo, Marianna, Branca, Luca, Pezzola, Elisa, Saia, Francesco, Pilgrim, Thomas, Abdel-Wahab, Mohamed, Garot, Philippe, Gandolfo, Caterina, Fiorina, Claudia, Sammartino, Sofia, Latib, Azeem, Santos, Ignacio Amat, Mylotte, Darren, De Marco, Federico, De Backer, Ole, Franco, Luis Nombela, Akodad, Mariama, Ribichini, Flavio Luciano, Bedogni, Francesco, Laterra, Giulia, Mazzapicchi, Alessandro, Tomii, Daijiro, Laforgia, Pietro, Cannata, Stefano, Scotti, Andrea, Fezzi, Simone, Criscione, Enrico, Poletti, Enrico, Mazzucca, Mattia, Valvo, Roberto, Lunardi, Mattia, Mainardi, Andrea, Andreaggi, Stefano, Quagliana, Angelo, Montarello, Nicholas, Hennessey, Breda, Mon-Noboa, Matias, Meier, David, Sgroi, Carmelo, Reddavid, Claudia Maria, Strazzieri, Orazio, Motta, Silvia Crescenzia, Frittitta, Valentina, Dipietro, Elena, Comis, Alessandro, Melfa, Chiara, Cal, Mariachiara, Thiele, Holger, Webb, John G., Søndergaard, Lars, Tamburino, Corrado, Metra, Marco, Costa, Giuliano, and Barbanti, Marco

Published
2024
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30. Tutorials at The Web Conference 2023.

Author

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen 0016, Peng Cui 0001, Jeffrey Dalton 0001, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo 0002, Torsten Hahmann, Jiawei Han 0001, Soyeon Caren Han, Estevam Hruschka, Liang Hu 0004, Jiaxin Huang 0001, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi 0001, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee 0001, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li 0001, Ying Li 0012, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London 0001, Siqu Long, Hande Küçük-McGinty, Yu Meng 0001, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy 0009, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang 0040, Minjie Wang, Shoujin Wang, Xin Wang 0019, Ingmar Weber, Henry Weld, Lingfei Wu 0001, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang 0011, Ke Yang 0003, Elad Yom-Tov, Jaemin Yoo, Zhou Yu 0005, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang 0020, Xikun Zhang 0002, Yongfeng Zhang, Yu Zhang 0044, Zheng Zhang 0047, Liang Zhao 0002, Xiangyu Zhao 0001, and Wenwu Zhu 0001

Published
2023
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31. Use of the Student Engagement as a Strategy to Optimize Online Education, Applying a Supervised Machine Learning Model Using Facial Recognition

Author

Andrés, Noboa, Gonzalez, Omar, Freddy, Tapia, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Botto-Tobar, Miguel, editor, Zambrano Vizuete, Marcelo, editor, Montes León, Sergio, editor, Torres-Carrión, Pablo, editor, and Durakovic, Benjamin, editor

Published
2023
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32. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author

Phelps, Nowell H, Singleton, Rosie K, Zhou, Bin, Heap, Rachel A, Mishra, Anu, Bennett, James E, Paciorek, Christopher J, Lhoste, Victor PF, Carrillo-Larco, Rodrigo M, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Bixby, Honor, Bentham, James, Di Cesare, Mariachiara, Danaei, Goodarz, Rayner, Archie W, Barradas-Pires, Ana, Cowan, Melanie J, Savin, Stefan, Riley, Leanne M, Aguilar-Salinas, Carlos A, Baker, Jennifer L, Barkat, Amina, Bhutta, Zulfiqar A, Branca, Francesco, Caixeta, Roberta B, Cuschieri, Sarah, Farzadfar, Farshad, Ganapathy, Shubash, Ikeda, Nayu, Iotova, Violeta, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Lin, Hsien-Ho, Ma, Jun, Mbanya, Jean Claude N, Miranda, J Jaime, Pradeepa, Rajendra, Rodríguez-Artalejo, Fernando, Sorić, Maroje, Turley, Maria, Wang, Limin, Webster-Kerr, Karen, Aarestrup, Julie, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Abubakar Garba, Jamila, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J, Adu-Afarwuah, Seth, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Ågren, Åsa, Aguenaou, Hassan, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lahou, Badreya, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Al Qaoud, Nawal M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A, Alexius, Sylvia, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkerwi, Ala'a, Alkhatib, Buthaina M, Allin, Kristine, Alomary, Shaker A, Alomirah, Husam F, Alshangiti, Arwa M, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amoah, John, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assefa, Nega, Aspelund, Thor, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Aung, May Soe, Aurélio de Valois, Correia Júnior Marco, Auvinen, Juha, Avdičová, Mária, Avi, Shina, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Babu, Bontha V, Bacopoulou, Flora, Bæksgaard Jørgensen, Maja, Baharudin, Azli, Bahijri, Suhad, Bajramovic, Izet, Bakacs, Marta, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Banegas, José R, Baran, Joanna, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, 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Lynne M, Boehm, Bernhard O, Boer, Jolanda MA, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Botomba, Steve, Bourne, Rupert RA, Bovet, Pascal, Boymatova, Khadichamo, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Braithwaite, Tasanee, Brajkovich, Imperia, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brophy, Sinead, Brug, Johannes, Bruno, Graziella, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de León, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula c, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajús, José A, Casanueva, Felipe F, Casas, Maribel, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Angelique, Chan, Queenie, Charchar, Fadi J, Charles, Marie-Aline, Chaturvedi, Himanshu K, Chaturvedi, Nish, Che Abdul Rahim, Norsyamlina, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Cojocaru, Cosmin R, Colorado-Yohar, Sandra, Compañ-Gabucio, Laura-María, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Cortés, Lilia Yadira, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Csányi, Tamás, Csilla, Semánová, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, Czenczek-Lewandowska, Ewelina, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva, Alanna G, Dacica, Liliana, Dahm, Christina C, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Backer, Guy, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, De Neve, Jan-Walter, Duarte de Oliveira, Paula, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R, de Sá, Ana Carolina MGN, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent Jr, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Devrishov, Ruslan D, Dhimal, Meghnath, Di Castelnuovo, Augusto, Dias-da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Díaz Fernández, Pedro, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Dong, Yanhui, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Dörr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duan, Jia Li, Duante, Charmaine A, Duboz, Priscilla, Duleva, Vesselka L, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dwyer, Terence, Dyussupova, Azhar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ammari, Laila, El Ati, Jalila, Eldemire-Shearer, Denise, Elliott, Paul, Enang, Ofem, Endevelt, Ronit, Engle-Stone, Reina, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Evans, Roger G, Faeh, David, Fagherazzi, Guy, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farrugia Sant'Angelo, Victoria, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Fawzi, Wafaie W, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Gerson, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferreira, Haroldo S, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Fras, Zlatko, Fraser, Brooklyn, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujiati, Isti I, Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Gafencu, Mihai, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, García Mérida, María José, García Solano, Marta, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M, George, Ronnie, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gieger, Christian, Gill, Tiffany K, Giovannelli, Jonathan, 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Maciej, Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Udoji, Nwannedimma, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van 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Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zentai, Andrea, Zhang, Bing, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zimmet, Paul, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

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2024
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33. Evolut PRO and SAPIEN ULTRA Performance in Small Aortic Annuli: The OPERA-TAVI Registry

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Scotti, Andrea, Sturla, Matteo, Costa, Giuliano, Saia, Francesco, Pilgrim, Thomas, Abdel-Wahab, Mohamed, Garot, Philippe, Gandolfo, Caterina, Branca, Luca, Santos, Ignacio Amat, Mylotte, Darren, Bedogni, Francesco, De Backer, Ole, Nombela Franco, Luis, Webb, John, Ribichini, Flavio Luciano, Mainardi, Andrea, Andreaggi, Stefano, Mazzapicchi, Alessandro, Tomii, Daijiro, Laforgia, Pietro, Cannata, Stefano, Fiorina, Claudia, Fezzi, Simone, Criscione, Enrico, Lunardi, Mattia, Poletti, Enrico, Mazzucca, Mattia, Quagliana, Angelo, Montarello, Nicholas, Hennessey, Breda, Mon-Noboa, Matias, Akodad, Myriam, Meier, David, De Marco, Federico, Adamo, Marianna, Sgroi, Carmelo, Reddavid, Claudia Maria, Valvo, Roberto, Strazzieri, Orazio, Motta, Silvia Crescenzia, Frittitta, Valentina, Dipietro, Elena, Comis, Alessandro, Melfa, Chiara, Calì, Mariachiara, Sammartino, Sofia, Laterra, Giulia, Thiele, Holger, Sondergaard, Lars, Tamburino, Corrado, Barbanti, Marco, and Latib, Azeem

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2024
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34. Boundary management preferences from a gender and cross-cultural perspective

Author

Allen, Tammy, Beham, Barbara, Ollier-Malaterre, Ariane, Baierl, Andreas, Alexandrova, Matilda, Artiawati, Beauregard, Alexandra, Carvalho, Vânia Sofia, Chambel, Maria José, Cho, Eunae, Coden da Silva, Bruna, Dawkins, Sarah, Escribano, Pablo, Gudeta, Konjit Hailu, Huang, Ting-pang, Jaga, Ameeta, Kost, Dominique, Kurowska, Anna, Leon, Emmanuelle, Lewis, Suzan, Lu, Chang-qin, Martin, Angela, Morandin, Gabriele, Noboa, Fabrizio, Offer, Shira, Ohu, Eugene, Peters, Pascale, Rajadhyaksha, Ujvala, Russo, Marcello, Sohn, Young Woo, Straub, Caroline, Tammelin, Mia, Van Engen, Marloes, and Waismel-Manor, Ronit

Published
2024
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36. Low switched memory B cells are associated with no humoral response after SARS-CoV-2 vaccine boosters in kidney transplant recipients

Author

Mariana Seija, Joaquin García-Luna, Florencia Rammauro, Andreína Brugnini, Natalia Trías, Rossana Astesiano, José Santiago, Natalia Orihuela, Catherine Zulberti, Danilo Machado, Cecilia Recalde, Federico Yandián, Ana Guerisoli, Javier Noboa, Sergio Orihuela, Lilian Curi, Emma Bugstaller, Oscar Noboa, Marcelo Nin, Sergio Bianchi, Adriana Tiscornia, and Daniela Lens

Subjects
SARS-CoV-2, vaccine, boosters, kidney transplant, memory B cell, Immunologic diseases. Allergy, RC581-607
Abstract

IntroductionThe humoral response after SARS-CoV-2 vaccination and boosters in kidney transplant recipients (KTRs) is heterogeneous and depends on immunosuppression status. There is no validated immune measurement associated with serological response in clinical practice. Multicolor flow cytometric immunophenotyping could be useful for measuring immune response. This study aimed to study B- and T-cell compartments through Standardized EuroFlow PID Orientation after SARS-CoV-2 vaccination and their association with IgG SARS-CoV-2 seropositivity status after two doses or boosters.MethodsWe conducted a multicenter prospective study to evaluate humoral response after SARS-CoV-2 vaccination in KTRs. Heterologous regimen: two doses of inactivated SARS-CoV-2 and two boosters of BNT162b2 mRNA (n=75). Homologous vaccination: two doses of BNT162b2 mRNA and one BNT162b2 mRNA booster (n=13). Booster doses were administrated to KTRs without taking into account their IgG SARS-CoV-2 seropositivity status. Peripheral blood samples were collected 30 days after the second dose and after the last heterologous or homologous booster. A standardized EuroFlow PID Orientation Tube (PIDOT) and a supervised automated analysis were used for immune monitoring cellular subsets after boosters.ResultsA total of 88 KTRs were included and divided into three groups according to the time of the first detected IgG SARS-CoV-2 seropositivity: non-responders (NRs, n=23), booster responders (BRs, n=41), and two-dose responders (2DRs, n=24). The NR group was more frequent on mycophenolate than the responder groups (NRs, 96%; BRs, 80%; 2DRs, 42%; p=0.000). Switched memory B cells in the 2DR group were higher than those in the BR and NR groups (medians of 30, 17, and 10 cells/ul, respectively; p=0.017). Additionally, the absolute count of central memory/terminal memory CD8 T cells was higher in the 2DR group than in the BR and NR groups. (166, 98, and 93 cells/ul, respectively; p=0.041). The rest of the T-cell populations studied did not show a statistical difference.Conclusionswitched memory B cells and memory CD8 T-cell populations in peripheral blood were associated with the magnitude of the humoral response after SARS-CoV-2 vaccination. Boosters increased IgG anti-SARS-CoV-2 levels, CM/TM CD8 T cells, and switched MBCs in patients with seropositivity after two doses. Interestingly, no seropositivity after boosters was associated with the use of mycophenolate and a lower number of switched MBCs and CM/TM CD8 T cells in peripheral blood.

Published
2023
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37. Inventory Management Plan under the IFRSs for SMEs: The PROLASE Company

Author

William Fernando Ortega Naranjo, Maura Lorena Armendáriz Noboa, and Renata Liseth Catota Arias

Subjects
company, management, standards, processes, material control, Social sciences (General), H1-99
Abstract

The objective of this case study is to identify the problems that the PROLASE company has regarding its inventories and to propose an inventory management and control plan covered by the International Financial Reporting Standards (IFRSs) for SMEs. The applied methodology had a mixed approach: Bibliographic documentary sources were used, and a survey was applied to employees. The records were made one hundred percent manually and empirically. According to the results obtained from the application of the instrument, it was concluded that the company does not have a management model to administer and control inventories in its entirety, which causes deficiencies in its processes and procedures. The inventory management policy is important to mitigate the risks inherent to the organization.

Published
2023
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38. Correction: Influenza vaccination hesitancy in five countries of South America. Confidence, complacency and convenience as determinants of immunization rates.

Author

Miguel Ángel González-Block, Emilio Gutiérrez-Calderón, Blanca Estela Pelcastre-Villafuerte, Juan Arroyo-Laguna, Yamila Comes, Pedro Crocco, Andréa Fachel-Leal, Laura Noboa, Daniela Riva-Knauth, Berenice Rodríguez-Zea, Mónica Ruoti, Elsa Sarti, and Esteban Puentes-Rosas

Subjects
Medicine, Science
Abstract

[This corrects the article DOI: 10.1371/journal.pone.0243833.].

Published
2024
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40. Strategies to improve the implementation and effectiveness of community-based psychosocial support interventions for displaced, migrant and host community women in Latin America

Author

M. Claire Greene, Gabrielle Wimer, Maria Larrea, Ingrid Mejia Jimenez, Andrea Armijos, Alejandra Angulo, Maria Esther Guevara, Carolina Vega, Emily W. Heard, Lina Demis, Lucia Benavides, Christine Corrales, Ale de la Cruz, Maria Jose Lopez, Arianna Moyano, Andrea Murcia, Maria Jose Noboa, Abhimeleck Rodriguez, Jennifer Solis, Daniela Vergara, Lena S. Andersen, Maria Cristobal, Milton Wainberg, Annie G. Bonz, and Wietse Tol

Subjects
psychosocial, implementation research, implementation strategy, displacement, migration, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

As evidence supporting the effectiveness of mental health and psychosocial interventions grows, more research is needed to understand optimal strategies for improving their implementation in diverse contexts. We conducted a qualitative process evaluation of a multicomponent psychosocial intervention intended to promote well-being among refugee, migrant and host community women in three diverse contexts in Ecuador and Panamá. The objective of this study is to describe the relationships among implementation determinants, strategies and outcomes of this community-based psychosocial intervention. The five implementation strategies used in this study included stakeholder engagement, promoting intervention adaptability, group and community-based delivery format, task sharing and providing incentives. We identified 10 adaptations to the intervention and its implementation, most of which were made during pre-implementation. Participants (n = 77) and facilitators (n = 30) who completed qualitative interviews reported that these strategies largely improved the implementation of the intervention across key outcomes and aligned with the study’s intervention and implementation theory of change models. Participants and facilitators also proposed additional strategies for improving reach, implementation and maintenance of this community-based psychosocial intervention.

Published
2024
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42. Efectos socioambientales de avenida torrencial en Rio Pindo, Pastaza, Ecuador

Author

Ricardo Vinicio Abril Saltos, Fabricio Antonio Ríos Rodríguez, and Miriam Raquel Morocho Noboa

Subjects
inundación, riesgo, lluvias, ambiente, población, Hydraulic engineering, TC1-978, Environmental engineering, TA170-171
Abstract

Los ríos son elementos fundamentales en las poblaciones y a la vez representan riesgos devengados de eventos extremos. El presente trabajo tuvo como objetivos identificar los principales efectos ambientales ocurridos por el desbordamiento del Rio Pindo Grande en la parroquia Shell y conocer el estado de preparación ante emergencias de la población. Se elaboró un formato de encuesta que recopila información socioeconómica, vivienda, servicios y afectaciones por las crecidas del rio que se aplicó a 135 personas ubicadas en barrios aledaños al rio. Se determinó que la mayoría de la población no ha sido capacitada para emergencias y la linterna como el equipo más reportado y la principal afectación fue sobre las dotaciones de agua y servicio eléctrico. Se concluye que las zonas aledañas al río se encuentran expuestas a riesgos por crecidas y la mayoría de la población no ha sido capacitada para el manejo de emergencias.

Published
2024

45. Coyuntura de la Carrera Educación Básica en la Universidad Estatal de Bolívar

Author

María Lorena Noboa Torres, Daniela Alejandra Ribadeneira Pazmiño, Viviana Elizabeth Suárez Aldáz, and Rosa Silvia Pacheco Mendoza

Subjects
demanda laboral, empleabilidad, educación general básica (egb), Social Sciences
Abstract

El contexto educativo nacional demanda profesionales con capacidades y habilidades para el trabajo en la población estudiantil en los distintos niveles de educación, por lo que, la investigación tuvo como objetivo determinar la coyuntura de la carrera de Educación Básica en la Universidad Estatal de Bolívar. Se emplearon métodos de carácter observacional, prospectivo y retrospectivo. Existe una alta demanda insatisfecha a nivel nacional de bachilleres que desean estudiar esta carrera; el 80% de los graduados, desempeñan puestos laborables como profesores y directivos de instituciones educativas; la tasa de empleabilidad es alta para los egresados, en la mayoría de los casos de 3 a 4 profesionales por plantel. El análisis PESTEL, permitió identificar las amenazas y oportunidades que están alrededor de la carrera de Educación Básica, permitiendo identificar hacia donde se debe mejorar y orientar las decisiones que se deben tomar para el futuro de la carrera.

Published
2023
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46. Impacto financiero y tributario por aplicación de la NIIF 16 en la Compañía Montero

Author

Helen Gómez-Medina, Mónica del Rocío Noboa-Reinoso, and José David Gordillo-Mejía

Subjects
Social Sciences, Social sciences (General), H1-99
Abstract

El objetivo de la presente investigación fue demostrar que la empresa Insumos Profesionales Cía. Ltda. Montero pudo reducir el impacto financiero y tributario por la aplicación de la Norma Internacional de Información Financiera (NIIF) 16 Arrendamientos, mediante la implementación de la NIIF para las Pymes sección 20, bajo el umbral de la resolución No. SCVS-INC-DNCDN-2019-0009 emitida por la Superintendencia de Compañías de Valores y Seguros (SCVS). Para ello se consideraron las teorías de varios autores relacionados con el objeto de estudio, se aplicó una investigación descriptiva documental, con un enfoque cualitativo, como herramienta de recolección de datos se utilizó una entrevista formal y análisis a los legajos de arriendos, se revisaron el estado de resultados y el estado de situación financiera de los periodos 2018 y 2019, luego se realizó los cálculos de los ratios financieros. Como resultado de la aplicación de los instrumentos de recolección de información se evidenciaron debilidades en los controles internos del ente y efectos desfavorables como: aumentos de ratios financieros, incremento del impuesto municipal 1.5x1000 y aumento en impuestos a la renta corriente y diferido; los mismos que fueron revertidos con la aplicación de la sección 20 de las NIIF para pymes lo que se evidencia en las tablas de cálculo. Palabras clave: Impacto financiero y tributario, NIIF para pymes, ratios financieros, impuesto a la renta corriente y diferidos. ABSTRACT The objective of this investigation was to demonstrate that the company Insumos Profesionales Cía. Ltda. Montero was able to reduce the financial and tax impact of the application of the International Financial Reporting Standard (IFRS) 16 Leases, through the implementation of the IFRS for SMEs section 20, under the threshold of resolution No. SCVS-INC- DNCDN- 2019-0009 issued by the Superintendence of Securities and Insurance Companies (SCVS). For this, the theories of several authors related to the object of study were considered, a descriptive documentary investigation was applied, with a qualitative approach, as a data collection tool a formal interview was obtained and analysis of the lease files, the state of results and the statement of financial position for the periods 2018 and 2019, then the calculations of the financial ratios were made. As a result of the application of the information collection instruments, weaknesses in the entity's internal controls and unfavorable effects were evidenced such as: increases in financial ratios, increase in municipal tax 1.5x1000 and increase in current and deferred income taxes; the same ones that were reversed with the application of section 20 of the IFRS for SMEs, which is evidenced in the calculation tables. Keywords: Financial and tax impact, IFRS for SMEs, financial ratios, current and deferred income tax.

Published
2023

47. Hurricanes Irma and Maria and Diabetes incidence in Puerto Rico

Author

Marijulie Martínez-Lozano, Carlamarie Noboa, Gerardo Alvarado-González, and Kaumudi J. Joshipura

Subjects
Type 2 diabetes, Hurricane, Health care, Natural disasters, Puerto Rico, Public aspects of medicine, RA1-1270
Abstract

Abstract Objective To evaluate the impact of Hurricanes Irma/Maria on diabetes incidence in Puerto Rico. Mortality increased substantially after the hurricanes, but morbidity was not assessed. Methods We recruited 364 participants from the San Juan Overweight Adults Longitudinal Study (SOALS) aged 40–65 years who completed a three-year follow-up and were free of diabetes. We conducted additional questionnaires 1.7–2.5 years after hurricanes. Glycosylated hemoglobin (HbA1c), fasting glucose and insulin were assessed at all three visits. We compared diabetes incidence between pre-hurricane visits and between visits spanning the hurricanes using Generalized Estimating Equation (GEE) adjusting for within person repeated measures, age, and body mass index (BMI). Results Diabetes incidence was significantly higher spanning the hurricanes than pre-hurricane (multivariate GEE model: IRR = 2.1; 95% CI: 1.4–3.1). There was a significantly higher increase spanning the hurricanes compared to pre-hurricanes for Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (median: 0.3 uIU/mL vs. 0.2 uIU/mL). HbA1c levels increased by 0.4% spanning the hurricanes. Conclusion Increases in diabetes incidence, HOMA-IR and HbA1c were higher spanning the hurricanes compared to the pre-hurricanes period. The increase in diabetes incidence remains significant after adjusting for age and BMI.

Published
2023
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48. Estimation of the fundamental period of vibration of the dental clinics and the dental classroom of the Catholic University of Cuenca using environmental vibration recordings

Author

Flores Raúl Salazar, Noboa Juan Maldonado, and Noboa Cesar Maldonado

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

In the Faculty of Dentistry of the Catholic University of Cuenca, located in the city of Cuenca, province of Azuay. The lecture hall and the clinics of the faculty are built. These structures were built during 2018 and 2019. Due to the seismic events occurred in recent years, monitoring was carried out to obtain the characterization of the dynamic behaviour. The two structures are formed by a structural system based on structural steel frames (beam-column), the structure for laboratory use has metal columns filled with concrete, while the structure for classroom use has metal columns without concrete filling. The main objective was to obtain the vibration periods experimentally from the recording of environmental vibrations and also to obtain them analytically with mathematical models elaborated in structural analysis programs and environmental vibration tests were performed. The results show that building 1, composed by the dentistry clinic, obtained a vibration period of 0.41 s in X and 0.33 s in Y (Analytical Model); and, in the environmental vibration test it showed a period of 0.46 s in X and, 0.30 in Y. Building 2, composed of the dental faculty classroom, obtained periods of 0.53 s in X and 0.29 s in Y (Analytical Model). While in the environmental vibration studies they gave values of 0.52 s in X and 0.26 in Y.

Published
2024
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