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1. Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild

Author

Ma, Lingni, Ye, Yuting, Hong, Fangzhou, Guzov, Vladimir, Jiang, Yifeng, Postyeni, Rowan, Pesqueira, Luis, Gamino, Alexander, Baiyya, Vijay, Kim, Hyo Jin, Bailey, Kevin, Fosas, David Soriano, Liu, C. Karen, Liu, Ziwei, Engel, Jakob, De Nardi, Renzo, and Newcombe, Richard

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
Abstract

We introduce Nymeria - a large-scale, diverse, richly annotated human motion dataset collected in the wild with multiple multimodal egocentric devices. The dataset comes with a) full-body ground-truth motion; b) multiple multimodal egocentric data from Project Aria devices with videos, eye tracking, IMUs and etc; and c) a third-person perspective by an additional observer. All devices are precisely synchronized and localized in on metric 3D world. We derive hierarchical protocol to add in-context language descriptions of human motion, from fine-grain motion narration, to simplified atomic action and high-level activity summarization. To the best of our knowledge, Nymeria dataset is the world's largest collection of human motion in the wild; first of its kind to provide synchronized and localized multi-device multimodal egocentric data; and the world's largest motion-language dataset. It provides 300 hours of daily activities from 264 participants across 50 locations, total travelling distance over 399Km. The language descriptions contain 301.5K sentences in 8.64M words from a vocabulary size of 6545. To demonstrate the potential of the dataset, we evaluate several SOTA algorithms for egocentric body tracking, motion synthesis, and action recognition. Data and code are open-sourced for research (c.f. https://www.projectaria.com/datasets/nymeria).

Published
2024

2. Elliptic Equations in Weak Oscillatory Thin Domains: Beyond Periodicity with Boundary-Concentrated Reaction Terms

Author

Barbosa, Pricila S. and Villanueva-Pesqueira, Manuel

Subjects
Mathematics - Analysis of PDEs
Abstract

In this paper we analyze the limit behavior of a family of solutions of the Laplace operator with homogeneous Neumann boundary conditions, set in a two-dimensional thin domain which presents weak oscillations on both boundaries and with terms concentrated in a narrow oscillating neighborhood of the top boundary. The aim of this problem is to study the behavior of the solutions as the thin domain presents oscillatory behaviors beyond the classical periodic assumptions,including scenarios like quasiperiodic or almost-periodic oscillations. We then prove that the family of solutions converges to the solution of a 1 dimensional limit equation capturing the geometry and oscillatory behavior of boundary of the domain and the narrow strip where the concentration terms take place. In addition, we include a series of numerical experiments illustrating the theoretical results obtained in the quasiperiodic context., Comment: arXiv admin note: text overlap with arXiv:2405.05607

Published
2024

3. Elliptic and parabolic problems in thin domains with doubly weak oscillatory boundary

Author

Arrieta, José M. and Villanueva-Pesqueira, Manuel

Subjects
Mathematics - Analysis of PDEs
Abstract

In this work we consider higher dimensional thin domains with the property that both boundaries, bottom and top, present oscillations of weak type. We consider the Laplace operator with Neumann boundary conditions and analyze the behavior of the solutions as the thin domains shrinks to a fixed domain $\omega\subset \R^n$. We obtain the convergence of the resolvent of the elliptic operators in the sense of compact convergence of operators, which in particular implies the convergence of the spectra. This convergence of the resolvent operators will allow us to conclude the global dynamics, in terms of the global attractors of a reaction diffusion equation in the thin domains. In particular, we show the upper semicontinuity of the attractors and stationary states. An important case treated is the case of a quasiperiodic situation, where the bottom and top oscillations are periodic but with period rationally independent.

Published
2024

4. Homogenization in 3D thin domains with oscillating boundaries of different orders

Author

Arrieta, José M., Nakasato, Jean Carlos, and Villanueva-Pesqueira, Manuel

Subjects
Mathematics - Analysis of PDEs, 35B25, 35B40, 35J92
Abstract

This paper presents an extension of the unfolding operator technique, initially applied to two-dimensional domains, to the realm of three-dimensional thin domains. The advancement of this methodology is pivotal, as it enhances our understanding and analysis of three-dimensional geometries, which are crucial in various practical fields such as engineering and physics. Our work delves into the asymptotic behavior of solutions to a reaction-diffusion equation with Neumann boundary conditions set within such a oscillatory 3-dimensional thin domain. The method introduced enables the deduction of effective problems across all scenarios, tackling the intrinsic complexity of these domains. This complexity is especially pronounced due to the possibility of diverse types of oscillations occurring along their boundaries.

Published
2024

5. Aria Everyday Activities Dataset

Author

Lv, Zhaoyang, Charron, Nicholas, Moulon, Pierre, Gamino, Alexander, Peng, Cheng, Sweeney, Chris, Miller, Edward, Tang, Huixuan, Meissner, Jeff, Dong, Jing, Somasundaram, Kiran, Pesqueira, Luis, Schwesinger, Mark, Parkhi, Omkar, Gu, Qiao, De Nardi, Renzo, Cheng, Shangyi, Saarinen, Steve, Baiyya, Vijay, Zou, Yuyang, Newcombe, Richard, Engel, Jakob Julian, Pan, Xiaqing, and Ren, Carl

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction
Abstract

We present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by multiple wearers in five geographically diverse indoor locations. Each of the recording contains multimodal sensor data recorded through the Project Aria glasses. In addition, AEA provides machine perception data including high frequency globally aligned 3D trajectories, scene point cloud, per-frame 3D eye gaze vector and time aligned speech transcription. In this paper, we demonstrate a few exemplar research applications enabled by this dataset, including neural scene reconstruction and prompted segmentation. AEA is an open source dataset that can be downloaded from https://www.projectaria.com/datasets/aea/. We are also providing open-source implementations and examples of how to use the dataset in Project Aria Tools https://github.com/facebookresearch/projectaria_tools., Comment: Dataset website: https://www.projectaria.com/datasets/aea/

Published
2024

6. Project Aria: A New Tool for Egocentric Multi-Modal AI Research

Author

Engel, Jakob, Somasundaram, Kiran, Goesele, Michael, Sun, Albert, Gamino, Alexander, Turner, Andrew, Talattof, Arjang, Yuan, Arnie, Souti, Bilal, Meredith, Brighid, Peng, Cheng, Sweeney, Chris, Wilson, Cole, Barnes, Dan, DeTone, Daniel, Caruso, David, Valleroy, Derek, Ginjupalli, Dinesh, Frost, Duncan, Miller, Edward, Mueggler, Elias, Oleinik, Evgeniy, Zhang, Fan, Somasundaram, Guruprasad, Solaira, Gustavo, Lanaras, Harry, Howard-Jenkins, Henry, Tang, Huixuan, Kim, Hyo Jin, Rivera, Jaime, Luo, Ji, Dong, Jing, Straub, Julian, Bailey, Kevin, Eckenhoff, Kevin, Ma, Lingni, Pesqueira, Luis, Schwesinger, Mark, Monge, Maurizio, Yang, Nan, Charron, Nick, Raina, Nikhil, Parkhi, Omkar, Borschowa, Peter, Moulon, Pierre, Gupta, Prince, Mur-Artal, Raul, Pennington, Robbie, Kulkarni, Sachin, Miglani, Sagar, Gondi, Santosh, Solanki, Saransh, Diener, Sean, Cheng, Shangyi, Green, Simon, Saarinen, Steve, Patra, Suvam, Mourikis, Tassos, Whelan, Thomas, Singh, Tripti, Balntas, Vasileios, Baiyya, Vijay, Dreewes, Wilson, Pan, Xiaqing, Lou, Yang, Zhao, Yipu, Mansour, Yusuf, Zou, Yuyang, Lv, Zhaoyang, Wang, Zijian, Yan, Mingfei, Ren, Carl, De Nardi, Renzo, and Newcombe, Richard

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition
Abstract

Egocentric, multi-modal data as available on future augmented reality (AR) devices provides unique challenges and opportunities for machine perception. These future devices will need to be all-day wearable in a socially acceptable form-factor to support always available, context-aware and personalized AI applications. Our team at Meta Reality Labs Research built the Aria device, an egocentric, multi-modal data recording and streaming device with the goal to foster and accelerate research in this area. In this paper, we describe the Aria device hardware including its sensor configuration and the corresponding software tools that enable recording and processing of such data.

Published
2023

7. EgoBlur: Responsible Innovation in Aria

Author

Raina, Nikhil, Somasundaram, Guruprasad, Zheng, Kang, Miglani, Sagar, Saarinen, Steve, Meissner, Jeff, Schwesinger, Mark, Pesqueira, Luis, Prasad, Ishita, Miller, Edward, Gupta, Prince, Yan, Mingfei, Newcombe, Richard, Ren, Carl, and Parkhi, Omkar M

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Project Aria pushes the frontiers of Egocentric AI with large-scale real-world data collection using purposely designed glasses with privacy first approach. To protect the privacy of bystanders being recorded by the glasses, our research protocols are designed to ensure recorded video is processed by an AI anonymization model that removes bystander faces and vehicle license plates. Detected face and license plate regions are processed with a Gaussian blur such that these personal identification information (PII) regions are obscured. This process helps to ensure that anonymized versions of the video is retained for research purposes. In Project Aria, we have developed a state-of-the-art anonymization system EgoBlur. In this paper, we present extensive analysis of EgoBlur on challenging datasets comparing its performance with other state-of-the-art systems from industry and academia including extensive Responsible AI analysis on recently released Casual Conversations V2 dataset.

Published
2023

8. Influence of nanoparticles on color stability, microhardness, and flexural strength of acrylic resins specific for ocular prosthesis

Author

Andreotti AM, Goiato MC, Moreno A, Nobrega AS, Pesqueira AA, and dos Santos DM

Subjects
Medicine (General), R5-920
Abstract

Agda Marobo Andreotti, Marcelo Coelho Goiato, Amália Moreno, Adhara Smith Nobrega, Aldiéris Alves Pesqueira, Daniela Micheline dos Santos Araçatuba Dental School, São Paulo State University, Araçatuba, São Paulo, Brazil Abstract: The aim of this study was to assess the effect of adding nanoparticles to N1 acrylic resin intended for artificial sclera, in terms of the color stability, microhardness, and flexural strength of the resin. Three hundred samples of N1 acrylic resin were used: 100 samples for color stability and microhardness tests (each test was performed on the opposite side of each sample), and 200 samples for flexural strength testing (100 samples before and after 1,008 hours of accelerated aging). Samples for each test were separated into ten groups (n=10), ie, without nanoparticles (control group) or with nanoparticles of zinc oxide, titanium dioxide (TiO2), and barium sulfate at weight concentrations of 1%, 2%, and 2.5% (nanoparticle groups). Data were subjected to statistical analysis with nested analysis of variance and Tukey’s test (P

Published
2014

9. Enhancement of the Potential Window of Ppy Electrodes in the Presence of a Bis(Oxamato) Nickel(II) Complex for High‐Performance Supercapacitor

Author

Camila Pesqueira, Bruna M. Hryniewicz, Vanessa Klobukoski, Saddam Weheabby, Olfa Kanoun, Tobias Rüffer, Igor A. Pašti, and Marcio Vidotti

Subjects
Bis(oxamato), Nickel (II) complex, Polypyrrole, Supercapacitor, Electropolymerization, Hydride materials, Industrial electrochemistry, TP250-261, Chemistry, QD1-999
Abstract

Abstract Enhancing the supercapacitors’ performance relies on the increased capacitance and voltage window, which are the current key challenges for developing new materials. In this study, the mononuclear NiII‐bis(oxamato) complex ([nBu4N]2[Ni(opba)], 1) has been synthesized and used as a template in polypyrrole (PPy) based conductive polymer as a novel electrode material for supercapacitor applications. The surface and structural properties of PPy and PPy/1 electrodes were studied using SEM and TEM to elucidate their interactions. The results of characterization techniques revealed that complex 1 altered the morphology, creating a prominent three‐dimensional globular structure in the PPy/1 hybrid material without significant chemical modification. The electrochemical properties of PPy and PPy/1 were investigated by CV, EIS, and GCD analyses. The PPy/1 electrode demonstrated intense pseudocapacitive behavior, showing a significantly widened potential window and increased current compared to the PPy electrode, resulting in enhanced energy storage capacity within the material. This improvement was evaluated by testing a symmetric supercapacitor in a coin cell architecture with an alginate‐based gel acting as both electrolyte and separator. The maximum specific cell capacitance reached 41.6 F g−1 at a current density of 0.2 A g−1, with a remarkable capacity retention of 97 % after 1000 galvanostatic charge/discharge cycles.

Published
2024
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11. Assessing the impact of long-term inhaled corticosteroid therapy on patients with COVID-19 and coexisting chronic lung disease: A multicenter retrospective cohort study

Author

Adela Pina Belmonte, Manuel Madrazo, Laura Piles, Manuel Rubio-Rivas, Lucía de Jorge Huerta, María Gómez Antúnez, Juan Francisco López Caleya, Francisco Arnalich Fernández, Martin Gericó-Aseguinolaza, Paula Maria Pesqueira Fontan, Nicolás Rhyman, Marina Prieto Dehesa, Juan Luis Romero Cabrera, Gema María García García, Gonzalo García-Casasola, Ane Labirua-Iturburu Ruiz, Francisco Javier Carrasco-Sánchez, Sara Martínez Hernández, Maria de los Reyes Pascual Pérez, José López Castro, José Luis Serrano Carrillo de Albornoz, José F. Varona, Ricardo Gómez-Huelgas, Juan-Miguel Antón-Santos, and Carlos Lumbreras-Bermejo

Subjects
Diseases of the respiratory system, RC705-779
Abstract

# Background Patients with chronic lung disease (CLD), such as asthma or chronic obstructive pulmonary disease, were expected to have an increased risk of clinical manifestations and severity of COVID-19. However, these comorbidities have been reported less frequently than expected. Chronic treatment with inhaled corticosteroids (ICS) may impact the clinical course of COVID-19. The main objective of this study is to know the influence of chronic treatment with ICS on the prognosis of COVID-19 hospitalized patients with CLD. # Methods A multicenter retrospective cohort study was designed, including patients hospitalized with COVID-19. Epidemiological and clinical data were collected at admission and at seven days, and clinical outcomes were collected. Patients with CLD with and without chronic treatment with ICS were compared. # Results Two thousand five hundred ninety-eight patients were included, of which 1,171 patients had a diagnosis of asthma and 1,427 of COPD (53.37% and 41.41% with ICS, respectively). No differences were found in mortality, transfer to ICU, or development of moderate-severe ARDS. Patients with chronic ICS had a longer hospital stay in both asthma and COPD patients (9 vs. 8 days, *p =* 0.031 in asthma patients), (11 vs. 9 days, *p =* 0.018 in COPD patients); although they also had more comorbidity burden. # Conclusions Patients with chronic inhaled corticosteroids had longer hospital stays and more chronic comorbidities, measured by the Charlson comorbidity index, but they did not have more severe disease at admission, evaluated with qSOFA and PSI scores. Chronic treatment with inhaled corticosteroids had no influence on the prognosis of patients with chronic lung disease and COVID-19.

Published
2024
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13. Evaluating Activation Functions in GAN Models for Virtual Inpainting: A Path to Architectural Heritage Restoration

Author

Ana M. Maitin, Alberto Nogales, Emilio Delgado-Martos, Giovanni Intra Sidola, Carlos Pesqueira-Calvo, Gabriel Furnieles, and Álvaro J. García-Tejedor

Subjects
architecture, cultural heritage, virtual restoration, deep learning, inpainting, generative adversarial networks, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

Computer vision has advanced much in recent years. Several tasks, such as image recognition, classification, or image restoration, are regularly solved with applications using artificial intelligence techniques. Image restoration comprises different use cases such as style transferring, improvement of quality resolution, or completing missing parts. The latter is also known as image inpainting, virtual image inpainting in this case, which consists of reconstructing missing regions or elements. This paper explores how to evaluate the performance of a deep learning method to do virtual image inpainting to reconstruct missing architectonical elements in images of ruined Greek temples to measure the performance of different activation functions. Unlike a previous study related to this work, a direct reconstruction process without segmented images was used. Then, two evaluation methods are presented: the objective one (mathematical metrics) and an expert (visual perception) evaluation to measure the performance of the different approaches. Results conclude that ReLU outperforms other activation functions, while Mish and Leaky ReLU perform poorly, and Swish’s professional evaluations highlight a gap between mathematical metrics and human visual perception.

Published
2024
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15. Global urban environmental change drives adaptation in white clover

Author

Santangelo, James S, Ness, Rob W, Cohan, Beata, Fitzpatrick, Connor R, Innes, Simon G, Koch, Sophie, Miles, Lindsay S, Munim, Samreen, Peres-Neto, Pedro R, Prashad, Cindy, Tong, Alex T, Aguirre, Windsor E, Akinwole, Philips O, Alberti, Marina, Álvarez, Jackie, Anderson, Jill T, Anderson, Joseph J, Ando, Yoshino, Andrew, Nigel R, Angeoletto, Fabio, Anstett, Daniel N, Anstett, Julia, Aoki-Gonçalves, Felipe, Arietta, AZ Andis, Arroyo, Mary TK, Austen, Emily J, Baena-Díaz, Fernanda, Barker, Cory A, Baylis, Howard A, Beliz, Julia M, Benitez-Mora, Alfonso, Bickford, David, Biedebach, Gabriela, Blackburn, Gwylim S, Boehm, Mannfred MA, Bonser, Stephen P, Bonte, Dries, Bragger, Jesse R, Branquinho, Cristina, Brans, Kristien I, Bresciano, Jorge C, Brom, Peta D, Bucharova, Anna, Burt, Briana, Cahill, James F, Campbell, Katelyn D, Carlen, Elizabeth J, Carmona, Diego, Castellanos, Maria Clara, Centenaro, Giada, Chalen, Izan, Chaves, Jaime A, Chávez-Pesqueira, Mariana, Chen, Xiao-Yong, Chilton, Angela M, Chomiak, Kristina M, Cisneros-Heredia, Diego F, Cisse, Ibrahim K, Classen, Aimée T, Comerford, Mattheau S, Fradinger, Camila Cordoba, Corney, Hannah, Crawford, Andrew J, Crawford, Kerri M, Dahirel, Maxime, David, Santiago, De Haan, Robert, Deacon, Nicholas J, Dean, Clare, del-Val, Ek, Deligiannis, Eleftherios K, Denney, Derek, Dettlaff, Margarete A, DiLeo, Michelle F, Ding, Yuan-Yuan, Domínguez-López, Moisés E, Dominoni, Davide M, Draud, Savannah L, Dyson, Karen, Ellers, Jacintha, Espinosa, Carlos I, Essi, Liliana, Falahati-Anbaran, Mohsen, Falcão, Jéssica CF, Fargo, Hayden T, Fellowes, Mark DE, Fitzpatrick, Raina M, Flaherty, Leah E, Flood, Pádraic J, Flores, María F, Fornoni, Juan, Foster, Amy G, Frost, Christopher J, Fuentes, Tracy L, Fulkerson, Justin R, Gagnon, Edeline, Garbsch, Frauke, Garroway, Colin J, Gerstein, Aleeza C, and Giasson, Mischa M

Subjects
Adaptation, Physiological, Biological Evolution, Cities, Ecosystem, Genes, Plant, Genome, Plant, Hydrogen Cyanide, Rural Population, Trifolium, Urbanization, General Science & Technology
Abstract

Urbanization transforms environments in ways that alter biological evolution. We examined whether urban environmental change drives parallel evolution by sampling 110,019 white clover plants from 6169 populations in 160 cities globally. Plants were assayed for a Mendelian antiherbivore defense that also affects tolerance to abiotic stressors. Urban-rural gradients were associated with the evolution of clines in defense in 47% of cities throughout the world. Variation in the strength of clines was explained by environmental changes in drought stress and vegetation cover that varied among cities. Sequencing 2074 genomes from 26 cities revealed that the evolution of urban-rural clines was best explained by adaptive evolution, but the degree of parallel adaptation varied among cities. Our results demonstrate that urbanization leads to adaptation at a global scale.

Published
2022

18. A systematic review of the epidemiology of epilepsy in Mexico during 1970 to 2020

Author

Gerardo Quiñones Pesqueira, Daniel San-Juan, Rosana Huerta Albarrán, Maximo Leon Vazquez, Gerardo Quiñones Canales, and Jorge Gonzalez Pesqueira

Subjects
epilepsy, epidemiology, prevalence, mexico, rural areas, urban area, developing countries, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Background Epilepsy is the most common major neurological disorder that affects people of all ages. The prevalence varies from one country to another and even between different areas, due to a lack of access to medical care for reasons related to limited resources. Objective Epilepsy is a worldwide public health problem that affects more deeply populations living in developing countries such as Mexico, where more aggressive health policies based on epidemiological data are needed; however, this information is scarce and the evolution of this data over time remains unclear. The aim of the present study is to provide an overview of the epidemiology of epilepsy in Mexico from 1970 to 2020. Methods We searched descriptive epidemiological studies on epilepsy in rural and urban regions of Mexico from 1970 to 2020. Available data on the sociodemographic characteristics, prevalence, and incidence data were extracted. Finally, the abstract, full-text review, and data abstraction were conducted in duplicate and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Descriptive statistics was also used. Results Overall, 11 underrepresented and heterogeneous epidemiological studies were included. In total, the prevalence of epilepsy in Mexico is 3.9 to 41:1,000 inhabitants; 3.9 to 41 per 1,000 persons in rural regions, and 3.49 to 44.3 per 1,000 persons in urban regions. None of these studies addressed the incidence of epilepsy. The prevalence of epilepsy in Mexico has remained unchanged during the last 5 decades. Conclusions Our results confirm a high prevalence of epilepsy in both urban and rural settings in Mexico that remain unchanged during the last 5 decades. All studies included in the present review showed multiple methodological limitations. New and robust epidemiological studies are needed to delineate the epidemiological profile of epilepsy in Mexico.

Published
2023
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19. Vascular plants of the Médanos de Samalayuca natural protected area, Chihuahua, Mexico

Author

Laura De León-Pesqueira, Ana Bertha Gatica-Colima, and M. Socorro González-Elizondo

Subjects
Chihuahuan Desert, dune, endemic, psammophile, sand, Botany, QK1-989
Abstract

Background: Inland sand dunes are expanding and increasing mobility. Knowledge on the plants growing on them is keystone for their management. One of the largest inland dune systems in Mexico is the Médanos de Samalayuca area. Questions: How many and which species of vascular plants are in Samalayuca? Which is the distribution pattern of that flora? Are there endemisms? Are there species of conservation concern? Studied species: Vascular plants. Study site and dates: Médanos de Samalayuca protected area, northern Chihuahua, Mexico; 2017-2022. Methods: A database was generated based on literature, electronic sources, herbarium specimens, photographing, and collection and identification of materials. Distribution, endemism level and conservation status were recorded. Results: The updated checklist of vascular plants for Samalayuca includes 400 species of 246 genera and 65 families. Most species grow in Mixed desert scrub and in Sand dune vegetation. Almost a half are restricted to the Megamexico 1 region, followed by the North American element. One species is Threatened according to the Mexican Official Norm NOM-059, while two are Vulnerable and one is Almost threatened according to the IUCN. Ribes fontinale appears to be extinct. Conclusions: Considering the arid, extreme climate and the low stability of the psammophilous vegetation, the flora of Samalayuca is richer than expected. The area is home to regional and local endemics. The data and information generated here is baseline for further management programs and action planning to protect these fragile ecosystems and the adjacent communities.

Published
2023
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20. Physiological and anatomical differences between subtropical forage plants grown in waterlogged alkaline-sodic soil

Author

Julieta Pesqueira, Andrés Mollá Kralj, María Soledad Rovegno, Marcelo Ramón Lovisolo, and María Dina García

Subjects
Chloris gayana, Panicum coloratum, Panicum virgatum, alkalinity, flooding, plant anatomy, Agriculture (General), S1-972
Abstract

Abstract The objective of this work was to evaluate the effects of 26 days of waterlogging, compared with field capacity, on different traits of the forage plants 'Finecut' Chloris gayana, 'Klein Verde' Panicum coloratum, and 'Shawnee' Panicum virgatum, grown in alkaline-sodic soil. Shoot and root dry mass, leaf greenness index, electrolyte leakage, and root histology were evaluated. The histological analysis was performed along the mid-portion of adventitious roots with a 2.0 mm diameter. Waterlogging inhibited the growth of P. coloratum, in addition to decreasing the leaf greenness index and causing injuries in the cell membrane of C. gayana and P. coloratum. At field capacity, only C. gayana and P. coloratum had aerenchyma; however, waterlogging induced the development and increased the area of the aerenchyma in P. virgatum and C. gayana, respectively. Waterlogging also thickened the exodermis and endodermis of all three genotypes, inducing a greater number of exodermis cell rows and a thicker internal tangential cell wall of the endodermis in C. gayana and P. virgatum. Although P. coloratum growth is more sensitive to waterlogging, there are radial oxygen loss barriers in the roots of the three evaluated genotypes.

Published
2023
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21. Investigating teaching presence in blended learning environments : an institutional case study at a university in northwest Mexico

Author

Fierros Pesqueira, Emma Lilia, Wright, Vicky, and Borthwick, Kate

Abstract

Blended learning has emerged in the context of new learning environments and pedagogies offering its potential for maximising the effectiveness of contemporary teaching and learning. If full advantage is taken of technology, there are opportunities to trigger new relationships among the teacher, the learner and the educational context. However, to achieve this, the use of technology must be re-thought in terms of how teachers handle their teaching time and pedagogy (Laurillard, 2002). The focus and interest of this study are on the role of teachers and how they work to develop concrete skills and strategies for teaching effectively. It looks at how they attempt to bridge the distance between teachers and learners and to establish their presence in blended learning environments in both face-to-face and online contexts. Teaching in blended learning environments requires specific pedagogical approaches; and how educators prepare to teach in these environments will potentially impact the quality of the learning experience they provide (Kim et al, 2015). Given the importance of teaching presence and based on the assumption that teachers are key if learners are to achieve appropriate learning outcomes, this study sets out to examine the role of the teacher and the perceptions of their learners through an analysis of teaching presence (Garrison et al, 2000) in both environments, face-to-face and online, and understand how teachers and learners make sense of that blend. The data was collected at a university in Northwest Mexico over three years between 2016 and 2019 from four undergraduate-level blended learning courses in the field of English Language Teaching, Software Engineering, and International Commerce. Findings suggest that teaching presence can enhance the learners´ educational experience as it emphasises the organisation of instructional design in their courses. Evidence showed that learners feel a disconnection between the face-to-face and the online components if their teachers lack ownership of their blended course. Thus, there seems to be a need to further integrate both environments so that they become a real blend. In addition, the study reported lower levels of perceived teaching presence in the online component. Teacher immediacy is experienced by learners only in the classroom which does little to encourage their engagement as online learners.

Published
2021

22. Influence of opacifiers on dimensional stability and detail reproduction of maxillofacial silicone elastomer

Author

Moreno Amália, Pesqueira Aldiéris A, dos Santos Daniela M, C Sinhoreti Mário A, Haddad Marcela F, and Goiato Marcelo C

Subjects
Medical technology, R855-855.5
Abstract

Abstract Background We evaluated the influence of chemical disinfection and accelerated aging on the dimensional stability and detail reproduction of a silicone elastomer containing one of two opacifiers. Methods A total of 90 samples were fabricated from Silastic MDX 4-4210 silicone and divided into groups (n = 10) according to opacifier content (barium sulfate or titanium dioxide) and disinfectant solution (neutral soap, Efferdent, or 4% chlorhexidine). The specimens were disinfected 3 times per week during 60 days and then subjected to accelerated aging for 1008 hours. Dimensional stability and detail reproduction tests were performed after specimens' fabrication (baseline), chemical disinfection and periodically during accelerated aging (252, 504, and 1008 hours). The results were analyzed using 3-way repeated-measures ANOVA and the Tukey HSD test (α = 0.05). Results All groups exhibited dimensional changes over time. The opacifier (p = .314), period (p < .0001) and their interactions (p = .0041) affected the dimensional stability of the silicone. Statistical significant dimensional differences occurred between groups with (0.071) and without opacifiers (0.053). Accelerated aging influenced the dimensional stability of the samples. All groups scored 2 in the detail reproduction tests, which represents the fully reproducing of three test grooves with accurate angles. Conclusions Incorporation of opacifiers alters the dimensional stability of silicones used in facial prosthetics, but seems to have no influence on detail reproduction. Accelerated aging is responsible for most of the dimensional changes in Silastic MDX4 4210, but all dimensional changes measured in this study remained within the limits of stability necessary for this application.

Published
2010
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23. Prognostic Value of D-dimer to Lymphocyte Ratio (DLR) in Hospitalized Coronavirus Disease 2019 (COVID-19) Patients: A Validation Study in a National Cohort

Author

Crhistian-Mario Oblitas, Pablo Demelo-Rodríguez, Luis-Antonio Alvarez-Sala-Walther, Manuel Rubio-Rivas, Francisco Navarro-Romero, Vicente Giner Galvañ, Lucía de Jorge-Huerta, Eva Fonseca Aizpuru, Gema María García García, José Luis Beato Pérez, Paula María Pesqueira Fontan, Arturo Artero Mora, Juan Antonio Vargas Núñez, Nuria Ramírez Perea, José Miguel García Bruñén, Emilia Roy Vallejo, Isabel Perales-Fraile, Ricardo Gil Sánchez, José López Castro, Ángel Luis Martínez González, Luis Felipe Díez García, Marina Aroza Espinar, José-Manuel Casas-Rojo, and Jesús Millán Núñez-Cortés

Subjects
biomarkers, D-dimer to lymphocyte ratio, COVID-19, mortality, ratios, SARS-CoV-2, Microbiology, QR1-502
Abstract

Background: This study aimed to validate the role of the D-dimer to lymphocyte ratio (DLR) for mortality prediction in a large national cohort of hospitalized coronavirus disease 2019 (COVID-19) patients. Methods: A retrospective, multicenter, observational study that included hospitalized patients due to SARS-CoV-2 infection in Spain was conducted from March 2020 to March 2022. All biomarkers and laboratory indices analyzed were measured once at admission. Results: A total of 10,575 COVID-19 patients were included in this study. The mean age of participants was 66.9 (±16) years, and 58.6% (6202 patients) of them were male. The overall mortality rate was 16.3% (n = 1726 patients). Intensive care unit admission was needed in 10.5% (n = 1106 patients), non-invasive mechanical ventilation was required in 8.8% (n = 923 patients), and orotracheal intubation was required in 7.5% (789 patients). DLR presented a c-statistic of 0.69 (95% CI, 0.68–0.71) for in-hospital mortality with an optimal cut-off above 1. Multivariate analysis showed an independent association for in-hospital mortality for DLR > 1 (adjusted OR 2.09, 95% CI 1.09–4.04; p = 0.03); in the same way, survival analysis showed a higher mortality risk for DLR > 1 (HR 2.24; 95% CI 2.03–2.47; p < 0.01). Further, no other laboratory indices showed an independent association for mortality in multivariate analysis. Conclusions: This study confirmed the usefulness of DLR as a prognostic biomarker for mortality associated with SARS-CoV-2 infection, being an accessible, cost-effective, and easy-to-use biomarker in daily clinical practice.

Published
2024
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25. INCIDÊNCIA E LETALIDADE DOS CASOS DE LEISHMANIOSE VISCERAL NA BAHIA

Author

Beatriz Pamponet Barreto, Beatriz Roncalli Pesqueira Feitosa de Azevedo, Clara Elis de Oliveira Souza, and Ana Luiza Castro de Azevedo

Subjects
Doença infecto parasitária Endemia Leishmaniose Visceral, Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502
Abstract

Introdução: A Leishmaniose Visceral é uma das maiores endemias do mundo, estimando cerca de 200 a 400 mil novos casos anualmente, uma das zoonoses mais frequentes no Brasil. Mais conhecida por calazar, tal doença apresenta um alto poder de letalidade quando não tratada, chegando a apresentar dados superiores a 90%. Sabe-se que a principal forma de transmissão para o homem e outros hospedeiros mamíferos é a picada de fêmeas de dípteros da família Psychodidae subfamília Phebotominae. Constata-se que atualmente essa infecção é um importante problema de saúde pública no Nordeste com uma incidência de 2,17 em 2020, a maior em comparação com outras regiões do Brasil. A Bahia tem destaque no número de casos confirmados. Objetivo: Este estudo tem por objetivo descrever a incidência e letalidade dos casos de Leishmaniose Visceral na Bahia. Métodos: O estudo foi realizado utilizando dados agregados do tipo série temporal e ecológico, no qual a população avaliada compreende todos os casos notificados e/ou confirmados desta parasitose no estado da Bahia, registrados no Sistema Nacional de Agravos de Notificação (SINAN) no período de 2007 a 2020. Resultados: Durante o período de estudos houveram 4.299 casos de leishmaniose, com um total de 253 óbitos, representando um valor de 5.89% no coeficiente de letalidade. No cálculo de incidência da Bahia, houve um aumento de 1,64 por 100 mil habitantes em 2007 para 2,55 por 100 mil habitantes em 2015, com destaque para 2014 com 3,47 por 100 mil habitantes. Tendo uma queda em 2016 para 1,57 por 100 mil habitantes, um aumento em 2017 para 2,14 por 100 mil habitantes e a menor incidência dos anos estudados foi em 2020 com 1,29 por 100 mil habitantes. Além disso, houve uma maior incidência na Microrregião de Irecê, com 7,84 por 100 mil habitantes em 2015, e Guanambi com 5,56 por 100 mil habitantes. Conclusão: A letalidade por Leishmaniose Visceral não demonstrou grandes alterações durante esse período de estudo. Irecê é a microrregião com maior número de casos, porém Ribeira do Pombal possui maior destaque acerca da letalidade mesmo evidenciando baixa incidência sugerindo assim, maior número de casos letais. Evidenciando, então, que essa doença apresenta-se como um problema de saúde pública principalmente nesse território, logo, para a fim de diminuir a incidência dos casos é necessário controlar a proliferação do inseto vetor e evitar que ele pique as pessoas.

Published
2023
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26. Usos tradicionales y prácticas de manejo de Piper auritum en comunidades maya rurales de Yucatán

Author

Rosa Pérez-Hernández, Casandra Reyes-García, Rosa Grijalva-Arango, Mariana Chávez-Pesqueira, Celene Espadas-Manrique, and Mario Hernández-Guzmán

Subjects
Domesticación, hoja santa, plantas aromáticas, riego, manejo, Botany, QK1-989
Abstract

Background: Plant domestication is a continuous, multidirectional process that is directed via plant selection and management. In the current study we use Piper auritum, an aromatic plant frequently used in Mexican cuisine and for medicinal purpose, to characterize the domestication level using information about its cultural relevance, management practices and leaf traits differentiation in managed and ruderal populations. Questions: What is the level of domestication of the aromatic plant Piper auritum? Are there any morphological or phytochemical differences between home garden and ruderal populations? Studied species: Piper auritum, Kunth Study site and dates: Ten communities in eastern Yucatan, México, from 2019 to 2021. Methods: Fifty-three Semi-structured interviews were applied (72 % women and 28 % men). Morphological and phytochemical leaf traits were measured to test management effects using home garden and ruderal populations. Results: People interviewed knew P. auritum and its uses. Five culinary and 12 medicinal uses were registered. P. auritum is grown in homegardens and the main management activity is irrigation. The selection occurs at the leaf level according to their size and resistance. Home garden plants registered greater foliar area and hardness and decreased safrole, compared to ruderal. Conclusions: Piper auritum is widely known in the communities and has a variety of culinary and medicinal uses. Management is vital for its survival in home gardens, but the species germinates spontaneously and is not usually planted. We found differences in leaf traits in managed and unmanaged populations. With this evidence we propose that P. auritumis under incipient domestication.

Published
2023
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27. The Replica Dataset: A Digital Replica of Indoor Spaces

Author

Straub, Julian, Whelan, Thomas, Ma, Lingni, Chen, Yufan, Wijmans, Erik, Green, Simon, Engel, Jakob J., Mur-Artal, Raul, Ren, Carl, Verma, Shobhit, Clarkson, Anton, Yan, Mingfei, Budge, Brian, Yan, Yajie, Pan, Xiaqing, Yon, June, Zou, Yuyang, Leon, Kimberly, Carter, Nigel, Briales, Jesus, Gillingham, Tyler, Mueggler, Elias, Pesqueira, Luis, Savva, Manolis, Batra, Dhruv, Strasdat, Hauke M., De Nardi, Renzo, Goesele, Michael, Lovegrove, Steven, and Newcombe, Richard

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

We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale. Each scene consists of a dense mesh, high-resolution high-dynamic-range (HDR) textures, per-primitive semantic class and instance information, and planar mirror and glass reflectors. The goal of Replica is to enable machine learning (ML) research that relies on visually, geometrically, and semantically realistic generative models of the world - for instance, egocentric computer vision, semantic segmentation in 2D and 3D, geometric inference, and the development of embodied agents (virtual robots) performing navigation, instruction following, and question answering. Due to the high level of realism of the renderings from Replica, there is hope that ML systems trained on Replica may transfer directly to real world image and video data. Together with the data, we are releasing a minimal C++ SDK as a starting point for working with the Replica dataset. In addition, Replica is `Habitat-compatible', i.e. can be natively used with AI Habitat for training and testing embodied agents.

Published
2019

28. Asymptotic behavior of a Bingham Flow in thin domains with rough boundary

Author

Cardone, Giuseppe, Perugia, Carmen, and Pesqueira, Manuel Villanueva

Subjects
Mathematics - Analysis of PDEs, 76A05, 76A20, 76D08, 76M50, 74K10, 35B27
Abstract

We consider an incompressible Bingham flow in a thin domain with rough boundary, under the action of given external forces and with no-slip boundary condition on the whole boundary of the domain. In mathematical terms, this problem is described by non linear variational inequalities over domains where a small parameter $\epsilon$ denotes the thickness of the domain and the roughness periodicity of the boundary. By using an adapted linear unfolding operator we perform a detailed analysis of the asymptotic behavior of the Bingham flow when $\epsilon$ tends to zero. We obtain the homogenized limit problem for the velocity and the pressure, which preserves the nonlinear character of the flow, and study the effects of the microstructure in the corresponding effective equations. Finally, we give the interpretation of the limit problem in terms of a non linear Darcy law., Comment: 23 pages, 2 figures

Published
2019
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29. Does the use of technology create technology engagement? Comparing three structural models

Author

Cristina Calvo-Porral and Rogelio Pesqueira-Sanchez

Subjects
Behaviour, Technology, Engagement, Use, Structural models, Comportamiento, Marketing. Distribution of products, HF5410-5417.5
Abstract

Purpose – Some aspects of technology behaviour remain unclear, such as the generation of technology use and engagement. So, this study aims to address the following question: does engagement with technology drive the use of technology?or does the use of technology create the engagement with technology? Design/methodology/approach – Based on the uses and gratifications theory, this study compares three alternative competing models that explain technology behaviour on a sample of 715 individuals, using the selection criteria proposed by Mathieson. A comprehensive analysis and comparison of three structural competing models on technology behaviour, namely, “use-and-engagement”, “use-to-engagement” and “engagement-to-use”, are presented. Findings – Findings show that the “use-and-engagement” model provides a better explanation of technology behaviour and is superior to predict technology behaviour, suggesting that both technology engagement and use could be considered as consequences. Originality/value – This study’s major contribution is the empirical examination of three structural competing models and the selection of the best explaining model of technology behaviour. ¿EL USO DE LA TECNOLOGÍA CREA IMPLICACION CON LA TECNOLOGÍA? COMPARANDO TRES MODELOS ESTRUCTURALES Objetivo – Algunos aspectos del comportamiento tecnológico permanecen sin aclarar, como la creación del uso e implicación hacia la tecnología. Así que abordamos la siguiente pregunta: ¿La implicación con la tecnología impulse su uso?, o ¿es el uso de la tecnología el que impulse la implicación?. Metodología – Basándonos en la Teoría de los Usos y Gratificaciones se han comparado tres modelos alternativos que compiten entre sí para explicar el comportamiento tecnológico, en una muestra de 715 individuos utilizando el criterio de selección propuesto por Mathieson. Se presenta un análisis y una comparación exhaustive de tres modelos estructurales competitivos sobre el comportamiento tecnológico, que son “uso-e-implicación”, “uso-para-la implicación” e “implicación-para-el uso”. Resultados – Los resultados muestran que el modelo “uso-e-implicación” proporciona la mejor explicación del comportamiento tecnológico y es superior para predecir el comportamiento tecnológico, lo que sugiere que tanto la implicación como el uso de la tecnología podrían considerarse como consecuencias. Originalidad – Nuestra principal contribución es el análisis empírico de tres modelos estructurales competitivos y la selección del mejor de ellos para explicar el comportamiento tecnológico. 技术的使用是否创造了技术参与？比较三种结构模型 目的 – 技术行为的某些方面仍然不清楚, 例如技术使用和参与的产生。因此, 我们意在解决以下问题：对技术的参与是否推动了技术的使用,还是技术的使用创造了技术的参与？ 方法 – 基于 “使用与满足 “理论, 我们使用马蒂森提出的选择标准, 在715人的样本上比较了三种解释技术行为的替代竞争模型。即我们对三个关于技术行为的结构性竞争模型, “使用和参与”、“使用到参与 ”和 “参与到使用 ”进行了综合的分析和比较。 研究结果 – 研究结果显示, “使用和参与 “模型更好的解释了技术行为, 并且其优于预测技术行为, 这表明技术参与和使用都可以被认为是后果。 独创性 – 我们的主要贡献是对三个结构性竞争模型进行了实证检验, 并选择了对技术行为的最佳解释模型。

Published
2022
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30. Ground deformation monitoring of the eruption offshore Mayotte

Author

Peltier, Aline, Saur, Sébastien, Ballu, Valérie, Beauducel, François, Briole, Pierre, Chanard, Kristel, Dausse, Denis, De Chabalier, Jean-Bernard, Grandin, Raphael, Rouffiac, Perrine, Tranchant, Yann-Treden, de Berc, Maxime Bès, Besançon, Simon, Boissier, Patrice, Broucke, Céleste, Brunet, Christophe, Canjamalé, Kevin, Carme, Erwan, Catherine, Philippe, Colombain, Alison, Crawford, Wayne, Daniel, Romuald, Dectot, Grégoire, Desfete, Nicolas, Doubre, Cécile, Dumouch, Tom, Griot, Cyprien, Grunberg, Marc, Jund, Hélène, Kowalski, Philippe, Lauret, Frédéric, Lebreton, Jacques, Pesqueira, Frédérick, Tronel, Frédéric, Valty, Pierre, and van der Woerd, Jérôme

Subjects
GNSS, Pressure gauge, Volcano deformation, Mayotte, GRACE modeling, Joint inversion, Fani Maoré, Geophysics. Cosmic physics, QC801-809, Chemistry, QD1-999, Geology, QE1-996.5
Abstract

In May 2018, the Mayotte island, located in the Indian Ocean, was affected by an unprecedented seismic crisis, followed by anomalous on-land surface displacements in July 2018. Cumulatively from July 1, 2018 to December 31, 2021, the horizontal displacements were approximately 21 to 25 cm eastward, and subsidence was approximately 10 to 19 cm. The study of data recorded by the on-land GNSS network, and their modeling coupled with data from ocean bottom pressure gauges, allowed us to propose a magmatic origin of the seismic crisis with the deflation of a deep source east of Mayotte, that was confirmed in May 2019 by the discovery of a submarine eruption, 50 km offshore of Mayotte ([Feuillet et al., 2021]). Despite a non-optimal network geometry and receivers located far from the source, the GNSS data allowed following the deep dynamics of magma transfer, via the volume flow monitoring, throughout the eruption.

Published
2022
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32. Assessing the impact of long-term inhaled corticosteroid therapy on patients with COVID-19 and coexisting chronic lung disease: A multicenter retrospective cohort study

Author

Pina Belmonte, Adela, primary, Madrazo, Manuel, additional, Piles, Laura, additional, Rubio-Rivas, Manuel, additional, de Jorge Huerta, Lucía, additional, Gómez Antúnez, María, additional, López Caleya, Juan Francisco, additional, Arnalich Fernández, Francisco, additional, Gericó-Aseguinolaza, Martin, additional, Pesqueira Fontan, Paula Maria, additional, Rhyman, Nicolás, additional, Prieto Dehesa, Marina, additional, Romero Cabrera, Juan Luis, additional, García García, Gema María, additional, García-Casasola, Gonzalo, additional, Labirua-Iturburu Ruiz, Ane, additional, Carrasco-Sánchez, Francisco Javier, additional, Martínez Hernández, Sara, additional, Pascual Pérez, Maria de los Reyes, additional, López Castro, José, additional, Serrano Carrillo de Albornoz, José Luis, additional, Varona, José F., additional, Gómez-Huelgas, Ricardo, additional, Antón-Santos, Juan-Miguel, additional, and Lumbreras-Bermejo, Carlos, additional

Published
2024
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33. WHO Ordinal Scale and Inflammation Risk Categories in COVID-19. Comparative Study of the Severity Scales

Author

Rubio-Rivas, Manuel, Mora-Luján, José María, Formiga, Francesc, Arévalo-Cañas, Coral, Lebrón Ramos, Juan Manuel, Villalba García, María Victoria, Fonseca Aizpuru, Eva Mª, Díez-Manglano, Jesús, Arnalich Fernández, Francisco, Romero Cabrera, Juan Luis, García García, Gema María, Pesqueira Fontan, Paula M., Vargas Núñez, Juan Antonio, Freire Castro, Santiago Jesús, Loureiro Amigo, José, Pascual Pérez, Maria de los Reyes, Alcalá Pedrajas, José N., Encinas-Sánchez, Daniel, Mella Pérez, Carmen, Ena, Javier, Gracia Gutiérrez, Anyuli, Esteban Giner, María José, Varona, José F., Millán Núñez-Cortés, Jesús, and Casas-Rojo, José-Manuel

Published
2022
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35. Evaluation of the mechanical properties of different materials for manufacturing occlusal splints

Author

Danielly Mendonça GUIMARAES, Marcio CAMPANER, Rodrigo Wendel dos SANTOS, Aldieris Alves PESQUEIRA, and Rodrigo Antonio de MEDEIROS

Subjects
Bruxism, Occlusal Splints, Mechanical Tests, Dentistry, RK1-715
Abstract

Abstract This study aimed to compare the mechanical properties of various occlusal plate materials by analyzing surface roughness, Knoop microhardness, flexural strength, and modulus of elasticity. Fifty samples were prepared and classified as SC (self-curing acrylic resin), WB (heat-cured acrylic resin), ME (acrylic resin polymerized by microwave energy), P (resin print), and M (polymethylmethacrylate polymer block for computer-aided design/computer-aided manufacturing). The data were analyzed using a one-way analysis of variance and Tukey’s honestly significant difference test. Surface roughness was the same in all groups. The surface hardness of group M was statistically superior. The samples from groups P and M had higher flexural strength than other samples. The modulus of elasticity of group SC was statistically lower than that of other groups. The mechanical properties of the materials used to make the occlusal plates differed, and group M achieved the best results in all analyses. Therefore, clinicians must consider the material used to manufacture long-lasting and efficient occlusal splints.

Published
2023
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36. De las funciones a los obstáculos presentes en los equipos de trabajo virtual de estudiantes de educación media superior

Author

Ana Rosa Rodríguez Durán, Miriam Hazel Rodríguez López, Leticia Pesqueira Leal, and José Castañeda Delfín

Subjects
Educación, equipos, trabajo virtual, Education, virtual teams, workspaces
Abstract

Los equipos de trabajo virtual presentan desafíos diferentes a los equipos de trabajo tradicional donde sus integrantes tienen la posibilidad de verse cara cara; sin duda, el crecimiento exponencial y los desafíos inherentes al sistema educativo derivados por la pandemia provocada por el SARS-CoV-2 subrayan la necesidad de generar investigación asociada a las nuevas dinámicas de trabajo en equipo para reconocer su estructura, funcionamiento y manejo de estos equipos de trabajo virtual; el objetivo de la investigación fue identificar las funciones y obstáculos de los equipos de trabajo virtual de estudiantes de educación media superior en el estado de Durango-México. El abordaje metodológico se dio a partir del paradigma cuantitativo, los resultados muestran que las funciones mayormente valoradas son el cumplimiento de tareas, no así las funciones de liderazgo; los obstáculos más representativos son las dificultades de incompatibilidad entre los miembros del equipo de trabajo lo que generaba enojos, tensión y malos entendidos. Abstract Virtual work teams present different challenges from traditional work teams, where their members have the possibility of seeing each other face to face; undoubtedly, the exponential growth and the challenges inherent to the educational system derived from the pandemic caused by SARS-CoV-2 highlight the need to generate research associated with the new teamwork dynamics in order to recognize their structure, functionality, and management in a virtual modality. The objective of this study was to identify the functions and difficulties of virtual work teams of high school students in the state of Durango, Mexico. The methodological approach was based on the quantitative paradigm; the results show that the most valued functions are the fulfillment of tasks, whereas leadership functions are not; the most representative difficulty is the incompatibility among the members of the work team, which generated anger, tension and misunderstandings.

Published
2023
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37. Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

Author

Knight, Stephen R, Shaw, Catherine A, Pius, Riinu, Drake, Thomas M, Norman, Lisa, Ademuyiwa, Adesoji O, Adisa, Adewale O, Aguilera, Maria Lorena, Al-Saqqa, Sara W, Al-Slaibi, Ibrahim, Bhangu, Aneel, Biccard, Bruce M, Brocklehurst, Peter, Costas-Chavarri, Ainhoa, Chu, Kathryn, Dare, Anna, Elhadi, Muhammed, Fairfield, Cameron J, Fitzgerald, J Edward, Ghosh, Dhruv, Glasbey, James, van Berge Henegouwen, Mark I., Ingabire, J.C. Allen, Kingham, T Peter, Lapitan, Marie Carmela, Lawani, Ismaïl, Lieske, Bettina, Lilford, Richard, Martin, Janet, McLean, Kenneth A, Moore, Rachel, Morton, Dion, Nepogodiev, Dmitri, Ntirenganya, Faustin, Pata, Francesco, Pinkney, Thomas, Qureshi, Ahmad Uzair, Ramos-De la Medina, Antonio, Riad, Aya, Salem, Hosni Khairy, Simões, Joana, Spence, Richard, Smart, Neil, Tabiri, Stephen, Thomas, Hannah, Weiser, Thomas G, West, Malcolm, Whitaker, John, Harrison, Ewen M, Gjata, Arben, Modolo, Maria Marta, King, Sebastian, Chan, Erick, Nahar, Sayeda Nazmun, Waterman, Ade, Vervoort, Dominique, Bedada, Alemayehu Ginbo, De Azevedo, Bernardo, Figueiredo, Ana Gabriela, Sokolov, Manol, Barendegere, Venerand, Ekwen, Gerald, Agarwal, Arnav, Liu, Qinyang, Camilo Correa, Juan, Malemo, Kalisya Luc, Bake, Jacques, Mihanovic, Jakov, Kunčarová, Kamila, Orhalmi, Julius, Salem, Hosni, Teras, Jyri, Kechagias, Aristotelis, Arnaud, Alexis P, Lindert, Judith, Kalles, Vasileios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Baranyai, Zsolt, Kumar, Basant, Neelamraju Lakshmi, Harish, Zachariah, Sanoop Koshy, Alexander, Philip, Kumar Venkatappa, Sunil, Pramesh, C, Amandito, Radhian, Fleming, Christina, Ansaloni, Luca, Pellino, Gianluca, Altibi, Ahmed M., Nour, Ibrahim, Hamdun, Intisar, Ghellai, Ali M., Venskutonis, Donatas, Poskus, Tomas, Zilinskas, Justas, Malemia, Precious, Tew, Yong Yong, Borg, Elaine, Ellul, Sarah, Wafqui, fatima Zahraa, Borowski, David W, van Dalen, Anne Sophie, Wells, Cameron, Adamou, Harissou, Ademuyiwa, Adesoji, Adisa, Adewale, Søreide, Kjetil, Al Saqqa, Sara, Alser, Osaid, Tahboub, Haya, Segovia Lohse, Helmut Alfredo, Shu Yip, Sebastian, Major, Piotr, Sampaio Soares, António, Bratu, Matei Razvan, Litvin, Andrey, Vardanyan, Armen, Allen Ingabire, JC, Gudal, Ahmad, Albati, Naif, Juloski, Jovan, Rems, Miran, Rayne, Sarah, Van Straten, Stephanie, Moodley, Yoshan, Ortega Vázquez, Irene, Ruiz-Tovar, Jaime, Senanayake, Kithsiri Janakantha, Thalgaspitiya, Sujeewa Priyantha Bandara, Omer, Omer Abdelbagi, Homeida, Anmar, Cengiz, Yucel, Clerc, Daniel, Alshaar, Muhammad, Bouaziz, Hanen, Altinel, Yuksel, Doe, Matthew, Freigofer, Maryna, Teasdale, Ella, Kabariti, Rakan, Clements, Joshua Michael, Knight, Stephen Richard, Ashfaq, Ahsan, Azodo, Ijeoma, Wagner, Gabriela, Trostchansky, Ivan, Maimbo, Mayaba, Linyama, David, Nina, Helidon, Zeko, Amanda, Fermani, Claudio Gabriel, Villalobos, Santiago, Carballo, Federico, Farina, Pablo, Guckenheimer, Sebastian, Dickfos, Marilla, Ajmera, Ankit, Chong, Chester, Gourlay, Ralph, Hussaini, Sikandar, Lee, Yi Jia, Majid, Adeeb, Martin, Peter, Miles, Rebecca, Morris, Owen James, Phua, Jamie, Ridley, William, Saluja, Tarunpreet, Tan, Ryan Renxin, Teh, Jen, Wells, Anna, Arora, Bharti, Dollie, Qaasim, Ho, Debbie, Ma, Yanru, Perera, Omattage Mahasha, Truong, Anthony, Dawson, Amanda Caroline, Lim, Bryan, Pahalawatta, Upuli, Phan, Jacqueline, Woon-Shoo-Tong, Xiao-Ming Sarah, Yeoh, Andrea, Charman, Lillian, Drane, Andrew, Laura, Sharon, Lo, Charmaine Chu Wen, Mozes, Amy, Poon, Rita, Tan, Hao Han, Wall, Ellen, Chopra, Prakshi, De Giovanni, Jasmine, Dhital, Bal, Draganic, Brian, Duller, Alexander, Gani, Jonathan, Goh, Yao Kuan, Jeong, Jun Young, McManus, Brendan, Nagappan, Prakash, Pockney, Peter, Rugendyke, Anya, Sarrami, Mahsa, Smith, Stephen, Wills, Vanessa, Wong, Hsu Ven, Ye, Geoffrey, Zhang, Geoffrey, Brooker, Ethan, Feng, Daniel, Lau, Bonnie, Ngai, Carlin, Birks, Sarah, Gyorki, David, Otero de Pablos, Jaime, Abbosh, Ali, Gillespie, Chris, Mahmoud, Ahmed, Kwan, Bianca, Lawson, Joshua, Warwick, Andrea, Bingham, Janne, Cockbain, Andrew J, Dudi-Venkata, Nagendra Naidu, Ellaby-Hall, Jordan, Finlay, Ben, Humphries, Emily, Pisaniello, Jade, Pisaniello, Monique, Salih, Salma, Sammour, Tarik, Abd Wahab, Haidar Hadri, De Silva, April, Hayward, Nicola, Iyer, Kartik, Maddern, Guy, Prevost, Gian Andrea, Annapureddy, Naga, Settipalli, Krishna Pranathi, Yeo, Jeremy, Hempenstall, Lucy, Pham, Lily, Purcell, Shaun, Talavera, Cherry, Vaska, Ashish I, Chaggar, Gurpreet, Chrapko, Phillip, Cocco, Annelise, Coulter-Nile, Sarah Michelle Crystal Jade, Ctercteko, Grahame, French, James, Gong, Houchen, Gosselink, Martijn, Jegathees, Thuvarahan, Jin, Ivan, Kalachov, Michelle, Kiefhaber, Kathryn, Lee, Katherine, Luong, Jason, Phan, Steven, Pleass, Henry, Veale, Kelly, Zeng, Zhi, Au, Angela, DeBiasio, Ashe, Deng, Idy, Myooran, Jananee, Nair, Amrita, Stewart, Peter, Stift, Anton, Unger, Lukas Walter, Wimmer, Kerstin, Ahmed, Nabila, Hasan, Syed, Rahman, Saber, O'Shea, Margaret, Padmore, Greg, Peters, Adrian, Perduca, Pietro, Pulcina, Guenda, Tinton, Nicolas, Buxant, Frederic, Dabin, Elsa, Garofalo, Giulia, Dossou, Francis, Gnangnon, Freddy Houehanou Rodrigue, Imorou Souaibou, Yacoubou, Motlaleselelo, Pako, Tlhomelang, Omphile, Lima Buarque, Igor, Mendonça Ataíde Gomes, Gustavo, Vieira Barros, Aldo, Batashki, Ilia, Damianov, Nikolai, Stoyanov, Vladislav, Dardanov, Dragomir, Maslyankov, Svilen, Petkov, Plamen, Todorov, George, Zhivkov, Evgeni, Akisheva, Aygulya, Castilla Moreno, Miguel Angel, Genov, Geno, Ilieva, Ivelina, Ivanov, Tsvetomir, Karamanliev, Martin, Khan, Azhar, Mitkov, Emil, Yotsov, Tsanko, Atanasov, Boyko, Belev, Nikolay, Slavchev, Mihail, Nsengiyumva, Carlos, Jones, Elgan, Stock, Simon, Kyota, Steve, Brown, James, Mabanza K., Tresor, Nigo Samuel, Lemery, Otuneme, Chidi, Prosper, Ngwang, Umenze, Franklin, Boutros, Marylise, Caminsky, Natasha, Dumitra, Sinziana, Garfinkle, Richard, Morency, Dominique, Salama, Ebram, Banks, Alexander, Ferri, Lorenzo, He, Haitian, Katz, Amit, Liberman, Alexander Sender, Meterissian, Sarkis, Pang, Allison, Parvez, Elena, Hameed, Usmaan, Osman, Fahima, Sequeira, Sangita, Coburn, Natalie, Jaffer, Alisha, Karanicolas, Paul, Mosseler, Matthew, Musselman, Reilly, Liu, Xinyuan, Yip, Ching Wan, Garces-Otero, Juan Sebastian, Guzman, Carolina, Sierra, Sebastian, Uribe Valencia, Andres, Cabrera Rivera, Paulo Andrés, Camelo, Saul, Gonzalez, Andrea, González-Orozco, Alejandro, Mosquera Paz, Manuel Santiago, Perez Rivera, Carlos J, Gonzalez, Felipe, Isaza-Restrepo, Andres, Nino- Torres, Laura, Arias Madrid, Natalia, Mendoza Arango, Maria Clara, Tsandiraki, Justin, Jemendžić, Damir, Kocman, Branislav, Šuman, Oliver, Canic, Renata, Jurišić, Darko, Karakas, Ivana, Krizanovic Rupcic, Ana, Pitlovic, Vlatka, Samardžić, Josip, Kopljar, Mario, Bacic, Ivan, Domini, Edgar, Karlo, Robert, Miljanić, Danijela, Simic, Andrea, Ahmed, Mariam, Al Nassrallah, Majdi, Altaf, Rabiya, Amjad, Talal, Eltoum, Ruba, Haidar, Heba, Hassan, Alhassan, Khalil, Omar, Qasem, Marwan, Ramesh, Rommel, Sajith, Gautham, Wisal, Maham, Žatecký, Jan, Bujda, Michele, Jirankova, Katerina, Paclik, Ales, Abdallah, Aya, Abdulgawad Almogy, Mariam, Ayman El-sawy, Esraa, ElFayoumy, Ahmed Moustafa, Elghareeb, Nourhan, Esmat, Nourhan Ahmed, Fadel, Ahmed, Habater, Abdullah, Hamdy, Heba, Hefni, Amr, Kamal, Marwa, Mohamed Abobakr, Norhan, Sayed, Ahmed, Shaker, Nancy, Taha, Ehab, Tharwat, Hoda, Zakaria, Omar, Abdelmotaleb, Ibrahem, Al-Dhufri, Ali, Al-Himyari, Hamza S., El sheikh, Enas, Eldmaty, Asmaa, Elkhalawy, Aya, M.Elkhashen, Ahmed, Magdy, Kithara, Mostafa, Safa, Sadia, Habib Doutoum, Saleh, Mohamed mahmoud, Samir, Dina, Yahia Mohamed Ali, Mohamed, A. Nassar, Mahmoud, Abdelhady, Samar, Abdelrazek, Aly, Abdelsalam, Israa, El-Sawy, Aya, Essam, Eman, Gadelkarim, Mohamed, Ghaly, Khaled, Hassabalnaby, Mohamed, Masarani, Rana, Mohamed Shaaban, Nourhan, Sabry, Ahmed, Salem, Menatalla, Soliman, Nourhan Akram, Zahran, Diaaaldin, Abou El.soud, Moustafa Ramadan, Badr, Esraa Tarek, Borham, Hala, Elmeslemany, Nehal, Elsayed, Mohammad, Elsherif, Fawzia, Eslam, Sara, Gaber, Gehad, Ibrahim, Sondos, Kamh, Yara, Mahmoud, Abdelrahman, Mohamed, Shimaa gamal, Morshedy, Eman, Omar, Cinderella, Salem Soliman, Fatima, Abdelkawy, Shaza, Abdelmohsen, Naglaa, Abdelshakour, Mahmoud, Dahy, Ahmed, Gamal, Norhan, Gamal, Mohammed, Hasan, Ahmad, Hetta, Helal, Mousa, Nehad, Omar, Mohamed, Rabie, Somia, Saad, Mahmoud, Saleh, Bakeer, Sayed Mohamed, Marwa, Shawqi, Muhammad, Abdelhady Mousa, Heba, Alnoury, Mostafa, Elbealawy, Mohamed, Elshafey, Ahmed, Essam Ibrahim El Desouki Muhammad Ahmed, Muhammad, Ghonaim, Mennatullah, Hgag, Fawzy, Ibrahim, Mohamed, Morsy, Mahmoud, Reda Loaloa, Mohamed, Refaat, Ahmed, Samir, Hadeer, Shahien, Fatma, Sobhy, Mohamed, Sroor, Fathy, Abdellatif, Esraa, Adel, Marina, Afifi, Amr Abdelghani, Afifi, Eman, Antaky, Marco, Dawoud, Amr, El Zoghby, Naira, El-remaily, Amira, Elzanfaly, Ali Abdelazez, Gadallah, Ahmed, Gamal, Fatma Alzahraa, Hashem, Omar, Medhat Youssef, Shrouk, Muhammad Attyah, Aliaa, Munir, Malak, Shazly, Omar, Taha, Esraa, Wilson, Karim, Adel, Sawsan, Ali, Asmaa, Eid, Esraa, Elhelow, Esraa, Elmahdy, Marwa, Elshatby, Bassant, Hossam el-din Zakaria, Amany, Hossny, Ahmad, Ibrahim, Eman, M.Yonis, Ahmed, Metwalli, Maram, Yousry, Basant, Zid, Esraa, A Yacoub, Mina, Abdelhakim, Ahmed, Abouelsoad, Nervana, Alkhatib, Mo'min, Ashraf, Ahmed, Ashraf, Alaa, Elazab, Yasmin, Elfanty, Mahmoud, Elkabir, Osama, Elsayed, Mai, Elshimy, Ahmed, Elsobky, Hager, Eskander, John, Gad, Ahmed, Hamsho, Ward, Khaled Abdelwahed, Noura, Magdy, Menna, Moharam, Dalia, Osama, Abeer, Ramadan, Shereen, Roum, Radwa, Sayed, Taqwa, Shehada, Tarneem, Zidan, Ahmed Mohy, Abbas, Khalid, Ali, Amr, Attia, Mohamed, Balata, Mohamed, El Nakeeb, Ayman, Elewaily, Mohamed Ibrahim Elsayed, Elfallal, Ahmed, Elfeki, Hossam, Elkhadragy, Ahmed, Emile, Sameh, Ezzat, Helmy, Hosni, Hasnaa, Mansour, Islam, Omar, Waleed, Othman, Gehad, Sadek, Kareem, Shalaby, Mostafa, Shehab-Eldeen, Noura, Anas khalifa, Rawda, Badr, Helmy, Eldeep, Mostafa, Eldeep, Ahmed, Eldoseuky mohammed, Amany, Khallaf, Salwa, Magdy Hegazy, Eman, Mahmoud, Rokia, Mikhail, Pola, Morsi, Mahmoud, Mowafy, Sara, Raafat, Dina, Safy, Amina, Sera, Marwa, Sera, Ahmed shible, AbdAllah, Mostafa Salim Mohamed, Abdelkader, Muhammad, Abdou, Abdulrahman Osama, Ahmed, Ahmedgaber, Gaafar, Shireen, Ibrahim negm, Fatma, Lapic, Mina, Maher, Ahmed, Mahmoud, Hagar, Mostafa, Ahmed, Samir, Mohamed, Samy, Fatma, Semeda, Nourhan, Shalaby, Hind I., El-taweel, Alaa, Galal Elnagar, Ahmed, Hemidan, Ahmed Gamal, Hussein, Mohamed, Kandil, Ahmed.A., Moawad, Mf, Nasser Hamamah, Ayat Allah, Soliman, Mostafa, Abdelkhalek, Mohamed, Abdelmaksoud Tawakel, Noura, Abdelwahed, Ahmed Mohamed, Abdou, Alrawy, Atallah, Khalid, Elsherbeny, Mohammed Yasser, Emara, Eman, Hamdy, Mohamed, Hamdy, Omar, Haron, Amira, Ismail, Salma, Metwally, Islam Hany, Mohamed Hamed Elgaml, Nihal, Nassar, Ahmed, Refky, Basel, Sadek, Mirna, Saleh, Mahmoud, Yunes, Asmaa, Zakaria, Mai, Zuhdy, Mohammed, Fayed, Notila, Mohammed, Mohammed Mustafa Hassan, Kütner, Sander, Melnik, Priit, Seire, Indrek, Ümarik, Toomas, Ainoa, Eppu, Eerola, Verner, Koppatz, Hanna, Koskenvuo, Laura, Sallinen, Ville, Takala, Sini, Katunin, Jevgeni, Turunen, Arto, Christou, Niki, Mathonnet, Muriel, Lavoue, Vincent, Nyangoh Timoh, Krystel, Soulabaille, Lucie, Lesourd, Romain, Merdrignac, Aude, Sulpice, Laurent, André, Benoît, Chantalat, Elodie, Vaysse, Charlotte, Dousset, Bertrand, Gaujoux, Sebastien, Martin, Gregory, Clonda, Octavian, Juodis, Domantas, Kienle, Klaus, Mravik, Andras, Palmer, Samuel, Szabadhegyi, Gabor, Agbeko, Anita Eseenam, Gyabaah, Solomon, Gyamfi, Frank Enoch, Naabo, Nuhu, Owusu senior, Atta, Yorke, Joseph, Owusu, Frank, Abantanga, Francis, Anyomih, Theophilus Teddy Kojo, Muntaka, Abdul-Jalilu Mohammed, Owusu Abem, Emmanuel, Sheriff, Mohammed, Wondoh, Paul M., Balalis, Dimitrios, Korkolis, Dimitrios, Gkiokas, Georgios, Pantiora, Eirini, Theodosopoulos, Theodosios, Ioannidis, Argyrios, Konstantinidis, Konstantinos, Konstantinidou, Sofia, Machairas, Nikolaos, Paspala, Anna, Prodromidou, Anastasia, Chouliaras, Christos, Papadopoulos, Konstantinos, Baloyiannis, Ioannis, Mamaloudis, Ioannis, Tzovaras, George, Akrida, Ioanna, Argentou, Maria-Ioanna, Germanos, Stylianos, Iliopoulos, Evangelos, Maroulis, Ioannis, Skroubis, George, Theofanis, George, Chatzakis, Christos, Ioannidis, Orestis, Loutzidou, Lydia, Karathanasis, Panagiotis, Michalopoulos, Nikolaos, Theodoropoulos, Charalampos, Theodorou, Dimitrios, Triantafyllou, Tania, Garoufalia, Zoe, Hasemaki, Natasha, Kontos, Michalis, Kouraklis, Gregory, Kykalos, Stylianos, Liakakos, Theodore, Mpaili, Eustratia, Papalampros, Alexandros, Schizas, Dimitrios, Syllaios, Athanasios, Tampaki, Ekaterini Christina, Tsimpoukelis, Antonios, Antonopoulou, Maria Ioanna, Deskou, Eirini, Manatakis, Dimitrios K., Papageorgiou, Dimitrios, Zoulamoglou, Menelaos, Anthoulakis, Christos, Margaritis, Michalis, Nikoloudis, Nikolaos, Campo, Veronica, Ceballos, André, Flores, Mario-Andrés, Giron, Waleska, Ko, Donghyun, Martinez, Gabriel, Rivera Lara, Verónica, Rueda, Nataly, Sanchez, Andres, Tejeda Garrido, Jorge Carlos Guillermo, Alvarez Rivera, Alvaro Eduardo, Bamaca Ixcajoc, Elvis Benjamin, Barreda Zelaya, Lilian Elizabeth, Chacòn-Herrera, Patricia, Corea Ruiz, Ligia Margarita, Echeverria-Davila, Guillermo, Garcia, Mario, García, Danilo, Gutiérrez Mayen, Edgar Fernando, José, Noriega, Mazariegos, Nery, Méndez, Diego, Paniagua Espinoza, Michael, Bardos, David, Benke, Marton, Illes, Kristof, Kokas, Balint András, Szabó, Réka, Appukuttan, Akhila, Asok, Anjitha, D.k, Vijaykumar, Malik, Kapil, Ravishankaran, Praveen, Tapkire, Ritesh, Moorthy, Guru, Abraham, Joyner, Muthuvel, Ramesh, Alapatt, John, Kattepur, Abhay, Pareekutty, Nizamudheen, Garod, Mebanshanbor, Harris, Caleb, Wanniang, Cliff, Gupta, Ashish, Nehra, Deepak, Parshad, Sanjeev, Acharya, Rajgopal, Badwe, Rajendra, Bhandare, Manish, Jain, Urvashi, Kirti, Karishma, Nair, Nita, Shrikhande, Shailesh, Thakkar, Purvi, Anandan, Premkumar, C S, Archana, Holenarasipur Narasannaiah, Arun, Jagarlamudi, Tejaswi, M R, Rashmi, Manangi, Mallikarjuna, Raghavendra, Abhishek, Rao, K. Seshagiri, S, Vinay, Sajjan, Vinay, Shenoy, Aneesh, Shivashankar Chikkanayakanahalli, Santhosh, Tharanath, Kavya, V, Sushmita, Adidharma, Peter, Agarwal, Raksheeth, Anggita Gultom, Phebe, Arifin, Ghafur Rasyid, Billy, Matthew, Elfizri, Zatira, Fahira, Alessa, Felicia, Devi, Gunardi, Triana Hardianti, Johanna, Nadya, Nugrahadi, Nadia Rahmadiani, Panigoro, Sonar Soni, Rahmayanti, Siti, Sihotang, Retta Catherina, Brata, Santi Yuanita, Winoto, Hadi, Barati, Nastaran, Karami, Manoochehr, Khorshidi, Hamidreza, Naderifar, Homa, Abdulla, Mazin A., Coleman, Maggie, Doherty, Ronan J, Hannon, Rob, Murphy, Brenda, Stakelum, Aine, Winter, Des, Aljohmani, Lylas, Farnan, Richard, Seldon, Yeshey, Tan, Tanna, Varghese, Shriya, Alherz, Mohammad, Ather, Muaaz, Bajilan, Mohammad, Graziadei, Vivien, Pilkington, Isobel, Quidwai, Omar, Ridgway, Paul, Shiwani, Haaris, Tahir, Abd al-Rahman, Blunnie, Eimear, Burke, Daniel, Kennedy, Niall, Macdonagh, Kate, O'Neill, Maeve, Rooney, Siobhan, Falco, Giuseppe, Ferrari, Guglielmo, Mele, Simone, Nita, Gabriela Elisa, Ugoletti, Lara, Zizzo, Maurizio, Confalonieri, Gianmaria, Pesenti, Giovanni, Tagliabue, Fulvio, Baronio, Gianluca, Ongaro, Deborah, Pata, Giacomo, Compagnoni, Bruno, Salvadori, Renato, Taglietti, Lucio, D'Alessandro, Nicola, Di Lascio, Pierpaolo, Pascale, Giovanni, Bortolasi, Luca, Campagnaro, Tommaso, Carlini, Massimo, Lisi, Giorgio, Lombardi, Davide, Pedrazzani, Corrado, Spoletini, Domenico, Turri, Giulia, Violi, Paola, Altomare, Donato Francesco, Aquilino, Fabrizio, Musa, Nicola, Papagni, Vincenzo, Picciariello, Arcangelo, Vincenti, Leonardo, Andreotti, Dario, Occhionorelli, Savino, Tondo, Matteo, Basso, Stefano Maria Massimiliano., Ubiali, Paolo, Cirelli, Riccardo, Maino, Marco Enrico Mario, Piozzi, Guglielmo Niccolò, Picone, Emanuele, Scaramuzzo, Rosa, Sinibaldi, Giovanni, Amendola, Alfonso, Anastasio, Lorenzo, Bucci, Luigi, Caruso, Emanuele, Castaldi, Antonio, Di Maso, Sara, Dinuzzi, Vincenza Paola, Esposito, Giovanni, Gaudiello, Maria, Giglio, Mariano Cesare, Greco, Paola Antonella, Luglio, Gaetano, Manfreda, Andrea, Marra, Ester, Mastella, Federica, Pagano, Gianluca, Peltrini, Roberto, Pepe, Vincenzo, Sacco, Michele, Sollazzo, Viviana, Spiezio, Giovanni, Cianchetti, Ettore, Menduni, Nunzia, Carvello, Michele Maria, Di Candido, Francesca, Spinelli, Antonino, Corsi, Fabio, Sorrentino, Luca, Marino, Fabio, Asti, Emanuele Luigi Giuseppe, Bonavina, Luigi, Rausa, Emanuele, Asta, Martina, Belli, Andrea, Bianco, Francesco, Cervone, Carmela, Delrio, Paolo, Falato, Armando, Fares Bucci, Andrea, Guarino, Rita, Pace, Ugo, Rega, Daniela, De Luca, Emilia, Gallo, Gaetano, Sammarco, Giuseppe, Sena, Giuseppe, Vescio, Giuseppina, Santandrea, Letizia, Ugolini, Giampaolo, Zattoni, Davide, Chetta, Nicola, Logrieco, Gaetano, Vanella, Serafino, Garulli, Gianluca, Zanini, Nicola, Bondurri, Andrea, Cammarata, Francesco, Colombo, Francesco, Foschi, Diego, Lamperti, Giulia Maria Beatrice, Maffioli, Anna, Sampietro, Gianluca Matteo, Yakushkina, Al'ona, Zaffaroni, Gloria, Cicuttin, Enrico, Sibilla, Maria Grazia, Impellizzeri, Harmony, Inama, Marco, Moretto, Gianluigi, Mochet, Sylvie, Ponte, Elisa, Usai, Antonella, Mancini, Stefano, Sagnotta, Andrea, Solinas, Luigi, Bolzonaro, Elisa, Tamini, Nicolò, Curletti, Gianluca, Galleano, Raffaele, Malerba, Michele, Campanella, Sofia, Cocorullo, Gianfranco, Colli, Francesco, De Marco, Paolino, Falco, Nicolò, Fontana, Tommaso, Kamdem Mambou, Leonel jospin, La Brocca, Antonella, Licari, Leo, Randisi, Brenda, Rizzo, Giovanna, Rotolo, Giulia, Salamone, Giuseppe, Tutino, Roberta, Venturelli, Paolina, Malabarba, Stefano, Sgrò, Alessandro, Vella, Ivan, Cirillo, Bruno, Crocetti, Daniele, De Toma, Giorgio, Lapolla, Pierfrancesco, Mingoli, Andrea, Sapienza, Paolo, Belvedere, Angela, Bianchini, Stefania, Binetti, Margherita, Birindelli, Arianna, Tonini, Valeria, Podda, Mauro, Pulighe, Fabio, De Rosa, Michele, Bono, Lorenzo, Borghi, Felice, Geretto, Paolo, Giuffrida, Maria Carmela, Lauro, Corrado, Marano, Alessandra, Pellegrino, Luca, Salusso, Paola, Sasia, Diego, Campanelli, Michela, Realis Luc, Alberto, Trompetto, Mario, Cardia, Roberto, Cillara, Nicola, Giordano, Antonio Nicola, Costanzo, Antonio, Giovilli, Mario Alessandro, Turati, Luca, Canonico, Silvestro, Sciaudone, Guido, Selvaggi, Francesco, Selvaggi, Lucio, Albsoul, Nader, AlBsoul, Ahmad, Alkhatib, Ala'a Aldeen, Alsallaq, Osama, Amarin, Justin Z., Ayoub, Rami, Bsisu, Isam, El Muhtaseb, M S, Jabaiti, Mohammad, Melhem, Jamal, Qwaider, Yasmeen Z., Salameh, Mohammad Hasan, Suleihat, Ahmad, Suradi, Haya H., Alammarin, Mohammad, Aljaafreh, Almoutuz, Bani hani, Mohammad, Bani hani, Zeina, Bani Hani, Farah, Fahmawee, Toqa, Hamouri, Shadi, Katanani, Cyrine, Tawalbeh, Ra'fat, Tawalbeh, Tamara, Zawahrah, Hassan, Abou Chaar, Mohamad K., Abusalem, Lana, Al-Masri, Mahmoud, Al-Najjar, Hani, Barghuthi, Lutfi, Ahmed, Zahra, Maulana, Adnan, Ngotho, Omar, Kamau, Charbel, Stanley Mwenda, Aruyaru, Bosire, Fridah, Mwachiro, Elizabeth, Parker, Robert, Simel, Ian, Sylvester, Kimutai, Althini, Abdulmunem Ahmed Mustafa, Elbarouni, Sofian, Elbeshina, Aya Elseed, Gwea, Ahmed, Malek, Ans, Masoud Farag, Wedad Albashir, Abdalei, Abdulwahab, Abdel Malik, Abu Baker, Abo-khammash, Areej, Abuhlaiga, Ma'aly, Adnan, Nour, Albaggar, Marwa, Alfitory, Asma, Aljanfi, Asma, Almuzghi, Fakhruddin, Altumei, Zohoor, Alzabti, Fatima, Ashoushan, Hana, Assalhi, Mohamed, Azzubia, Joma, Bnhameida, Sondos, Delhen, Malik, Elshafei, Houssein, Elteir, Hana, Esbaga, Fatima, Gobbi, Abdel Aziz, Hamouda, Fatma, Hilan, Hamdan, Ismail, Rania, Jebran, Fieruz, Kasbour, Muataz, Maderi, Galia, Mohammad, Saja, Mohammed, Burooj, Murtadi, Habib, Mustafa, Hamassat, Rajab, Mohamed, Trenba, Sarah, Wafaa, Mariam, Al Sagheir, Eman, Almigheerbi, Alabas, Alzahaf, Ahmed, Bahroun, Sumayyah Ghayth, Ben Dallah, Najah, Elshaibani, Mahmoud, Eswaye, Haitem, Karar, Maha, Omar, Samah, Younes, Eman, Younes, Maha, Zreeg, Dafer, Abujamra, Saleh, Ashour, Firas, Elgammudi, Mala, Omar F. Aljadidi, Wesal, Saddouh, Enas, Sharif, Randa, Alabuzidi, Aya, Alwerfally, AbdulMawlay, Aribi, Sarra, Bibas, Fatma, Elfaituri, Taha, Elhajjaji, Yasmine, Khaled, Ala, Khalil, Wegdan, Layas, Tesneem, Soula, Enas, Tarek, Ahmed, Abu hallalah, Muad fathi khalleefah, Ahmed, Hazem Abdelkarem, Alsharef, Tagwa, Ben Saoud, Abdulsalam Ali, El Gharmoul, Tasnim, Elhadi, Ahmed, Elrais, Safa, Shebani, Abdulhalim, Zarti, Heba, Zeiton, Asaid, Ambrazevicius, Marijus, Kaselis, Nerijus, Stakyte, Migle, Aliosin, Oleg, Cizauskaite, Agne, Dailidenas, Sarunas, Eismontas, Vitalijus, Kybransiene, Migle, Nutautiene, Vitalija, Samalavicius, Narimantas, Simcikas, Dainius, Slepavicius, Algirdas, Tamosiunas, Albinas, Ubartas, Nerijus, Zeromskas, Paulius, Bradulskis, Saulius, Dainius, Edvinas, Juočas, Juozas, Kubiliute, Egle, Kutkevičius, Juozas, Opolskis, Aurimas, Parseliunas, Audrius, Subocius, Andrejus, Virbickaite, Egle, Zuikyte, Diana, Bogusevicius, Algirdas, Buzaite, Kristina, Čepuliené, Daiva, Cesleviciene, Ieva, Cesna, Vaidotas, Gribauskaite, Jolanta, Ignatavicius, Povilas, Jokubauskas, Mantas, Liugailaitè, Monika, Margelis, Ernest, Mazelyte, Ruta, Pankratjevaitè, Lina, Pažusis, Matas, Rackeviciute, Agne, Saladyte, Justina, Škimelytè, Monika, Šlenfuktas, Vygintas, Sudeikyte, Monika, Tamelis, Algimantas, Vanagas, Tomas, Žumbakys, Žygimantas, Atkociunas, Aivaras, Dulskas, Audrius, Kuliavas, Justas, Birutis, Justas, Paškevičius, Sigitas, Šatkauskas, Mindaugas, Danys, Donatas, Jakubauskas, Matas, Jakubauskiene, Lina, Kryzauskas, Marius, Lipnickas, Vytautas, Makūnaitè, Gabija, Rasoaherinomenjanahary, Fanjandrainy, Rasolofonarivo, Herizo, Samison, Luc Hervé, Banda, Bitiel, Msosa, Vanessa, Ahmad Izzuddin, Ahmad Imran, Das, Andre, Gan, Ying Yee, Shong Sheng, Tan, Siaw, Jia yng, Ab Rahim, Mohd Fadliyazid, Abang Jamari, Dyg Zahratul Hamrak, Che Husin, Nurfariza, Kamarulzaman, Muhd Yusairi, Lim, Yi Ping, Mohamed Kamil, Nil Amri, Mohd Hassan, Mohd Razeen, Mohd Sahid, Saidah, Mustafa, Johari, Ng, Elaine Hui Been, Wan Khazim, Wan Khamizar, Chang Ern, Ng, Lingeshan, P.g., Sulaiman, Syariz Ezuan, Ang, Sue Ean, Bin Mohamad Sithik, Muhammad Navid, Cheong, Yih Jeng, Deva Tata, Mahadevan, Jia Xian, Law, Kadravello, Aravinthan, Koh, I-Ern, Ng, Li-Yen, Ng We Yong, Yuki Julius, Palayan, Kandasami, Sam, Chi Xuan, Siow Jin, Phuah, Tan Ern Hwei, Jeremy, Tang, Yita, Ter, Alvin Zubin, Wong, Michael Pak-Kai, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Henry, Fitjerald, Kalaiselvan, Thyivya, Abd Karim, Muhammad Fairuz Shah, Abdul Aziz, Mohamed Rezal, Abdul Aziz, Nora, Khong, Tak Loon, Lau, Peng Choong, Lim, Hiong Chin, Roslani, April Camilla, Seak, Jonathan Chen Ken, Wong, Sui-Weng, Wong, Lai Fen, Yeen Chin, Leow, Anyanwu, Mercy Chinemerem, Busuttil, Zachary, Calleja, Thomas, Chircop, Kurt Lee, Cutajar, Ruth, Dimech, Andrew Michael, Galea, Joseph, Gascon Perai, Kiara, Gatt, Ruth, Kelman, Lisa, Micallef, Elizabeth, Nwolu, Favour, Sammut, Kim, Thompson, Joanna, Warwicker, Sean, Zammit, Matthew, Cordera, Fernando, Cruz González, Efraín, Sánchez-García, Jorge, Barbosa Camacho, Francisco José, Barrera López, Francisco Javier, Zuloaga Fernandez del Valle, Carlos Jose, Acosta, Eric, González Espinoza, Iván Romarico, Moreno, Perla, Cortes-Flores, Ana Olivia, Fuentes Orozco, Clotilde, Gonzalez Ojeda, Alejandro, Corro Díaz González, Samantha, Martinez, Laura, Mosqueda Amador, Bonifacio, Novoa, Armando, Olazo Espejo, Dennet Arturo, Jimenez, Alejandro, Lopez Rosales, Federico, Vanoye, Elva Gabriela, Garcia Gonzalez, Luis Alberto, Miranda-Ackerman, Roberto Carlos, Solano-Genesta, Manuel, Alvarez-Cano, Alethia, Romero-Garza, Hector Hugo, Medina-Franco, Heriberto, Mejía-Fernández, Lorelí, Salgado-Nesme, Noel, Vergara-Fernandez, Omar, Gutiérrez-Mota, Guadalupe Montserrat, Hernandez Vera, Francisco Xavier, Llantada Lopez, Anabella, Morgan Villela, Gilberto, Ramirez Padilla, Felipe de Jesus, Tapia Marin, Walezka, Martínez Maldonado, Mónica, Sánchez Suárez, Ramses, Troche, José Manuel, Benyaiche, Chaymae, Outani, Oumaima, Amine, Souadka, Benkabbou, Amine, Majbar, Anass Mohammed, Mohsine, Raouf, Rafik, Ali, Oung, Thida, Tin, Moe Moe, Plarre, Philipp, Alberga, Anna, Sluiter, Nina, Tuynman, Jurriaan, Blok, Robin, Cömert, Didem, Hompes, Roel, Kalff, Marianne, Stellingwerf, Merel Elisabeth, Tanis, Pieter, van Berge Henegouwen, Mark, van Praag, Elise Maria, Wisselink, Daan, Gerhards, Michael, Lopes Cardozo, Josephine, Westerduin, Emma, de Jonge, Joske, van Geloven, Aaw, van Schilt, Kaz, den Boer, Frank, Stoots, Simone, Vlek, Stijn, Adams, Jamie, Al-Busaidi, Ibrahim S., Budd, Gabrielle, Choi, Seung il, Chu, Michael Jen Jie, Ganugapati, Anurag, McKinstry, Lucy, Pascoe, Rebecca, Richards, Simon, Rosser, Kenrick, Stevenson, Annie, White, Rebecca, Farik, Shebani, Kwun, Jin, Murad, Ahmed, Cowan, Sarah, Hall, Timothy, Hayton, Michael, Malam Sani, Laminou, Oumarou Garba, Souleymane, Amadou Magagi, Ibrahim, Habou, Oumarou, Aliyu, Halima, Daniyan, Muhammad, Sholadoye, Tunde T., Abdullahi, Lawal, Anyanwu, Lofty-John, Mohammad Mohammad, Aminu, Muhammad, Abubakar Bala, Sheshe, Abdurrahman Abba, Suleiman, Ibrahim, Adesina, Alaba, Awolowo, Ajibola, Onuoha, Clement, Salami, Omotayo, Taiwo, Ogechukwu, Taiwo, Agboola, Kache, Stephen, Makama, Jerry Godfrey, Sale, Danjuma, Abiola, Olajide, Ajao, Akinlabi, Ajiboye, Anthony, Etonyeaku, Amarachukwu, Olaogun, Julius, Adebanjo, Ademola, Adesanya, Opeoluwa, Afolayan, Michael Olatunji, Balogun, Olanrewaju, Makanjuola, Ayomide, Nwokocha, Samuel, Ojewola, Rufus Wale, Olajide, Thomas Olagboyega, Aderounmu, Adewale, Adesunkanmi, Abdul-Rashid, Agbakwuru, Augustine, Akeem Aderogba, Adeleke, Alatise, Olusegun Isaac, Arowolo, Olukayode, Lawal, Oladejo, Mohammed, Tajudeen, Ndegbu, Chinedu, Olasehinde, Olalekan, Wuraola, Funmilola, Akinkuolie, Akinbolaji, Mosanya, Arinzechukwu, Ayandipo, Omobolaji, Elemile, Peter, Lawal, Taiwo Akeem, Ali SANI, Samuel, Garba, Stephen, Hauwa SANI, Rebecca, Olori, Samson, Onyebuashi, Henry, Umoke, Ifeanyi, Adenuga, Adedire, Adeyeye, Ademola, Habeeb, Olufemi, Lawal, Bashir, Nasir, Abdulrasheed, Aahlin, Eirik Kjus, Kjønås, Didrik, Myrseth, Elisabeth, Abbasy, Jibran, Alvi, Abdul, Saleem, Omair, Afzal, Asma, Nazir, Anam, Farooq, Muhammad, Liaqat, Ayesha, Naqi, Syed Asghar, Raza, Ali, Sarfraz, Muzna, Sarwar, Muhammad, Banglani, Muntaha, Munir, Ambreen, Sehrish, Rahmat, Ayub, Bushra, Sayyed, Raza, Altaf, Amna, Ayub, Saima, Saeed, Komal, Syed, Bilal, Akbar, Sana Amir, Anwer, Abdul Wahid, Khan, Ruqayya Naheed, Khan, Amina Iqbal, Khattak, Shahid, Mohtasham, Sameen, Parvaiz, Muhammad Asad, Syed, Aamir Ali, Ansari, Abdul Basit, Shahzad, Noman, Khaliq, Tanwir, Rashid, Isbah, Waqar, Shahzad Hussain, Abu Al-saleem, Hasan, Abu Alqumboz, Amjad, Alqadi, Mohammad, Amro, Adham, Assa, Rawan, Awesat, Eman, Ayyad, Rawan, Hammad, Mohammed, Haymony, Ayat, Hijazi, Bassel, Hmeidat, Bara, Lahaseh, Rowaa, Qawasmi, Aseel, Rajabi, Alaa, Shehada, Mohammed, Shkokani, Sundus, Yaghi, Yasmine, Yaghi, Nadine, AlZohour, Mohammad, Farid, Mohammad, Habes, Yousef Mahmoud, Juba, Wesam, Nubani, Yanal, Rabee, Abdelrahman, Sa'deh, Mohammad, Abed, Saeed, Al basos, Iyad, Alswerki, Mohammad, Ashour, Dina, Awad, Israa, Diab, Samar, El Jamassi, Alaa, El-Kahlout, Sahar, Elhout, Somaya, Hajjaj, Ahmed N K, Hasanain, Doaa, Nabil hajjaj, Baraa, Obaid, Mohammed, Saikaly, Eman, Salhi, Ahmed, Al-Tammam, Hiba, Almasri, Murad, Baniowda, Muath, Beshtawi, Doha, Horoub, Ali, Misk, Rami, Mohammad, Bayan, Qasrawi, Rami, Sholi, Tasnim, Abu-Nimeh, Samar, Abu-srour, Abrar, Abukhalaf, Sadi A., Adawi, Samer, Alsalameh, Barah, Ayesh, Kholoud, Elqadi, Muawiyah, Hammouri, Ahmad, Karim Mustafa, Fatima, Marzouqa, Natalie, Melhem, Shatha, Miqdad, Dima, Mohamad, Balqees, Rawhi, Mhammed, Abu Ahammala, Ayman B., Abu Ataya, Ahmed, Abu Jayyab, Israa, Al-Shwaikh, Samar, Alagha, Othman, Alasttal, Mohammed, Awadallah, Haneen, Elblbessy, Mahmood, Fares, Jehad, Jarbou, Akram, Mahfouz, Ibtisam, Albahnasawi, Moath A., Abo mahadi, Asmaa', Abuelhatal, Hasan, Abuelqomboz, Ayham, Almoqayyad, Abdelrahman, Alwali, Abdallah, Balaawi, Reem, Hamouda, Mahmoud, Humeid, Mohammed, Jedyan, Abdullah, Mahmoud Abu hamam, Tasneem, Matar, Ghadeer, Salem, Ali, Samra, Tahani, Shaheen, Nureddin, Shihada, Karam, A.Nemer, Ayoob, Abu Al Amrain, Mahmoud, Abu Alamrain, Abdulwhhab, Abu Jamie, Najlaa, Abu-Rous, Mohammed R., Alfarra, Nada, AlTaweel, Mohammed, Alwhaidi, Noor, Hamed, Ramadan, Saqqa, Bader, Shaheen, Ahmad, Aljaber, Dana, Aljaberi, Loay, Alwaheidi, Malak, Jawaada, Assef, Khaldi, Hani, Qahoush, Rami, Qari, Jalil, Saadeh, Rana, Salim, Ahlam, Yacoub, Aseel, Abbas, Abbas, Abu shua'ib, Rana, Abu Zainah, Baraa, AbuSirrees, Mahmoud, Babaa, Basheer, Barhoush, Ola, Belal qadomi, Asef, Daraghmeh, Laith, Haji, Reema, Khatatbeh, Alaa, Khatib, Lana, Qarariah, Salsabeel, Quzmar, Yara, Safadi, Khalil, Salameh, Roqaya, Hassan, Mohammad, Herzallah, Shifaa, Massad, Loai, Nazzal, Ahmed, Nazzal, Ranin, Escobar, Dennis, Machain V, Gustavo Miguel, Rodriguez Gonzalez, Agustin, Chachaima Mar, Jorge Emerson, Chinchihualpa Paredes, Nathaly Olga, Cuba, Vicente, Lopez, Walter, Niquen Jimenez, Maria Milagros, Sanchez Bartra, Nestor Alberto, Sapallanay Ojeda, Olenka, Sequeiros, Diego, Toscano Pacheco, Andrea, Vergara, María, Abarca, Sol, Alcorta, Rodrigo, Borda-Luque, Giuliano, Eusebio Zegarra, Ivan Edward, Luján López, Claudia, Marrufo, Mirella, Mogrovejo, Cinthya, Nomura, Andrea, Rodríguez Angeles, Yamile, Vidal Meza, Maitza Rosario, Zavala, Gabriela, Castillo Arrascue, José Neiser, Hidrogo Cabrera, Jomara Caroline, Larrea vera, José Julio Mariano, Osorio, Miguel, Ylatoma Díaz, Edgar Alcides, Fontanilla, Mark Anthony, Fuentes, Joseph Roy, Salazar, Anna Leah, Dominguez, Genieve, Lopez, Marc Paul, Macalindong, Shiela, Onglao, Mark Augustine, Ramirez, Arjel, Sacdalan, Marie Dione, Tampo, Mayou Martin, Uy, Gemma Leonora, Mangahas, Jeremiah, Yabut, Kenneth, Cañete, Joannes Paul, Cansana, Bernalynn Eris, Castro, Ernes John, Lipana, Maria Kaiserin, Roxas, Manuel Francisco, Zara, Vlu Jean, Chroł, Maciej, Franczak, Paula, Orłowski, Michał, Budzyński, Piotr, Budzyński, Andrzej, Bury, Pawel, Czerwińska, Agata, Dworak, Jadwiga, Dziedzic, Jacek, Kisielewski, Michał, Kulawik, Jan, Lasek, Anna, Małczak, Piotr, Migaczewski, Marcin, Pędziwiatr, Michał, Pisarska, Magdalena, Radkowiak, Dorota, Rubinkiewicz, Mateusz, Rzepa, Anna, Skoczylas, Tomasz, Stanek, Maciej, Truszkiewicz, Katarzyna, Wierdak, Mateusz, Winiarski, Marek, Zarzycki, Piotr, Zub-Pokrowiecka, Anna, Kowalewski, Piotr, Roszkowski, Rafał, Walędziak, Maciej, Tomé, Miguel, Patrocinio, Sara, Guerreiro, Ines, Almeida, Filipe, de Sousa, Xavier, Monteiro, Nuno, Costa Santos, Maria Teresa, de Oliveira, Daniela, Lopes Serra, Marta, Morgado, Daniela, Neves, Christian, Oliveira, Ana Carolina, Pimentel, Alice, Silva, Sofia, Carvalho, Márcia, Carvalho, Lúcia, Magalhães, Joana, Matos, Leonor, Monteiro, Tânia, Ramos, Carlota, Santos, Vanessa, Barbosa, José, Costa-Maia, Jose, Devezas, Vítor, Fareleira, Ana, Fernandes, Cristina, Gonçalves, Diana, Mora, Henrique, Morais, Marina, Silva de Sousa, Fabiana, Catarino Santos, Sara, Logrado, Ana, Tojal, André, Amorim, Edgar, Cunha, Miguel F., Fazenda, Ana, Melo Neves, João Pedro, Sampaio da Nóvoa Gomes Miguel, Inês Isabel, Veiga, Diogo, Azevedo, José, Cardoso Louro, Hugo, Leite, Mariana, Bairos Menezes, Maria, Gama, Bárbara, Brito, Diana, Cruz Martins, Marta Cristina, Graça e Magalhães, André, Longras, Ana Catarina, Lourenço, Rita, Matos, Diana, Castro, Luis, Policarpo, Filipa, Romano, Joana, Monteiro, Cristina, Pinto, Diogo, Duarte, Marina, Fortuna Martins, Sónia, Oliveira, Mariline, Galvão, Diogo, Martins, Lisandra, Silva, Anaisa, Taranu, Viorel, Vieira, Bárbara, Neves, Jessica, Oliveira, Simone, Ribeiro, Hugo, Cinza, Margarida, Felix, Rosa, Machado, Arnaldo, Oliveira, Joana, Patrício, Joana, Pedroso de Lima, Rita, Pereira, Mário, Rocha Melo, Miguel, Velez, Cristina, Abreu da Silva, Alberto, Claro, Mariana, Costa Santos, Daniel, Ferreira, Andreia, Capote, Hugo, Rosado, Daniela, Taré, Filipa, Nogueira, Oriana, Ângelo, Miguel, Baiao, José Miguel, Guimarães, Andreia, Marques, João, Nico Albano, Miguel, Silva, Marta, Valente da Costa, Ana, Vieira Caroço, Teresa, Almeida Braga, Sara, Capunge, Ines, Fragoso, Marta, Guimarães, João, Pinto, Bruno, Ribeiro, João, Angel, Miguel, Fialho, Guilherme, Guerrero, Monica, Campos Costa, Filipa, Cardoso, Diogo, Cardoso, Vasco, Alves, Magda, Estalagem, Inês, Louro, Tiago, Marques, Cláudia, Martelo, Rita, Morgado, Miguel, Canotilho, Rita, Correia, Ana Margarida, Martins, Pedro, Peyroteo, Mariana, Gomes, João, Monteiro, Rita, Romano, Manuela, Alves, Daniela Macedo, Peixoto, Rita, Quintela, Catarina, Jervis, Maria João, Melo, Débora, Pacheco, André, Paixão, Valter, Pedro, Vera, Pimenta, Joana, Pimenta de Castro, João, Rocha, Ana, Beuran, Mircea, Ciubotaru, Cezar, Diaconescu, Bogdan, Hostiuc, Sorin, Negoi, Ionut, Stoica, Bogdan, Anokhin, Evgeny, Kuznetsov, Georgy, Oganezov, Giorgi, Paramzin, Fedor, Romanova, Ekaterina, Rutkovskii, Valeryan, Rutkovskii, Vasilii, Shushval, Mikhail, Zabiyaka, Mikhail, Dzhumabaev, Khasan, Ivanov, Valerii, Mamedli, Zaman, Achkasov, Sergey, Balkarov, Artem, Nabiev, Elnur, Nagudov, Marat, Rybakov, Evgeny, Saifutdinova, Karina, Sushkov, Oleg, Joseph, Lule, Ndayishimiye, Isaac, Faustin, Ntirenganya, Mutabazi, Alphonse Zeta, Mvukiyehe, Jean Paul, Nsengimana, Vizir J.P, Uwakunda, Carine, Abbas, Mohammad Monir, Akeel, Nouf, Aljiffry, Murad, Awaji, Kholoud, Farsi, Ali, Jamjoum, Ghader, Khoja, Ahmad, Maghrabi, Ashraf, Malibary, Nadim, Nassif, Mohammed, Saleem, Abdulaziz, Sultan, Abdullah, Tashkandi, Wail, Tashkandi, Hanaa, Trabulsi, Nora, Ba, Mouhamadou Bachir, Diallo, Adja Coumba, Ndong, Abdourahmane, Cuk, Vladica, Janković, Uroš, Koh, Sharon Zhiling, Koh, Frederick, Lee, Kuok Chung, Lee, Kai Yin, Lee, Sean, Leong, Wei Qi, Lui, Su Ann, Prakash, Prajwala, Grosek, Jan, Norcic, Gregor, Tomazic, Ales, Fitchat, Nicolas, Jaich, Robert, Wineberg, Devorah, Koto, Modise Zacharia, Baiocchi, Daniella, Clarke, Damian, Steenkamp, Christina Johanna, Bannister, Sharon, Boutall, Adam, Chinnery, Galya, Coccia, Anna, Dell, Angela, Karjiker, Parveen, Kloppers, Christo, Loxton, Nicholas, Mabogoane, Tumi, Malherbe, Francois, Panieri, Eugenio, Rayamajhi, Shreya, van Wyngaard, Tirsa, Warden, Claire, Madiba, T E, Pillay, Nivashen, Brooks, Savannah, Kruger, Charlise, Van Der Merwe, Lisa Hannah, Gool, Ferhana, Kariem, Maahir, Bougard, Heather, Kariem, Nazmie, Noor, Fazlin, Pillay, Reantha, Steynfaardt, Leandi, González González, Lucía, Marín Santos, José Miguel, Martín-Borregón, Paula, Martínez Caballero, Javier, Nevado García, Cristina, Rodriguez Fraga, Pastora, De Castro Parga, Gonzalo, Fernández Veiga, Maria Pilar, Garrido López, Lucía, Infante Pino, Hugo, Lages Cal, Irene, López Otero, Marta, Nogueira Sixto, Manuel, Paniagua García Señorans, Marta, Rodríguez Fernández, Laura, Ruano Poblador, Alejandro, Rufo Crespo, Erika, Sanchez-Santos, Raquel, Vigorita, Vincenzo, Alonso Batanero, Ester, Asnel, Dorisme, Cifrian Canales, Isabel, Contreras Saiz, Elisa, De Santiago Alvarez, Irene, Díaz Vico, Tamara, Fernandez Arias, Sebastian, Fernández Martínez, Daniel, García Bernardo, Carmen, García Flórez, Luis Joaquín, Garcia Gutierrez, Carmen, García Munar, Manuel, Márquez Zorrilla Molina, Carlos Alberto, Merayo, Marta, Michi Campos, José Luis, Moreno Gijon, Maria, Otero-Diez, Jorge L., Rodicio Miravalles, Jose Luis, Solar-Garcia, Lorena, Suárez Sánchez, Aida, Truan, Nuria, Alejandre Villalobos, Cristina, Caballero Díaz, Yurena, Jimenez, Marta, Montesdeoca, Dacil, Navarro-Sánchez, Antonio, Vega, Victor, Beltrán de Heredia, Juan, Gómez, Zahira, Jezieniecki, Carlos, Legido Morán, Ana Patricia, Montes-Manrique, Mario, Rodriguez-Lopez, Mario, Ruiz Soriano, María, Trujillo Díaz, Jeancarlos, Vazquez Fernandez, Andrea, Argudo, Nuria, Pera, Miguel, Torrent Jansà, Laia, García Domínguez, Melody, Goded, Ignacio, Roldón Golet, Marta, Talal El-Abur, Issa, Utrilla Fornals, Alejandra, Zambrana Campos, Vanesa, Aguilar Martinez, Maria Del Mar, Bosch, Marina, García-Catalá, Luis, Sánchez-Guillén, Luis, Artigau, Eva, Gomez Romeu, Nuria, Julià Bergkvist, David, Espina Perez, Beatriz, Morató, Olga, Olona, Carles, Diéguez, Beatriz, Forero-Torres, Alexander, Losada, Manuel, Gomez-Abril, Segundo, Gonzálvez, Paula, Martinez, Rosario, Navarro Martínez, Sergio, Payá-Llorente, Carmen, Pérez Rubio, Álvaro, Santarrufina Martinez, Sandra, Sebastián Tomás, Juan Carlos, Trullenque Juan, Ramon, Gegúndez Simón, Alberto, Maté, Paloma, Prieto-Nieto, Maria Isabel, Rubio-Perez, Ines, Urbieta, Aitor, Vicario Bravo, Marina, Abelló, David, Frasson, Matteo, Garcia-Granero, Alvaro, Abad Gurumeta, Alfredo, Abad-Motos, Ane, Lucena-de Pablo, Elena, Nozal, Beatriz, Ripollés-Melchor, Javier, Salvachúa, Rut, Ferrero, Esther, Garcia-Sancho Tellez, Luis, Picardo, Antonio L., Rojo López, Jose Alberto, Zorrilla Matilla, Laura Patricia, Cagigas Fernandez, Carmen, Castanedo Bezanilla, Sonia, Estevez Tesouro, José, Fernandez-Diaz, Maria Jose, García Cardo, Juan, Gomez Ruiz, Marcos, Gonzalez-Tolaretxipi, Erik, Jimeno Fraile, Jaime, Poch, Cristobal, Rodriguez-Aguirre, Montserrat, Troche Pesqueira, Noemí, Trugeda-Carrera, Maria Soledad, de la Torre, Javier, Blanco-Colino, Ruth, Espin-Basany, Eloy, Espinosa-Bravo, Martin, Morales Comas, Clara, Reyes Afonso, Eduardo, Rivero Déniz, Joaquín, Siso Raber, Christian, Verdaguer Tremolosa, Mireia, Chandrasinghe, Pramodh, Kumarage, Sumudu, Wijekoon Arachchilage, Nimeshi, Abdalla Ahmed Elkamel, Ahmed, A. Adam, Mohammed, Blomme, Nina, Thorell, Anders, Wogensen, Fredrik, Älgå, Andreas, Ansarei, Dhirar, Celebioglu, Fuat, Heinius, Göran, Nigard, Linda, Pieniowski, Emil, Ahlqvist, Sandra, Björklund, Ida, Frånberg, Andreas, Håkansson, Martina, Adamo, Karin, Franklin, Oskar, Sund, Malin, Wiberg, Rebecca, Andersson, Yvette, Chabok, Abbas, Nikberg, Maziar, Kugelberg, Alexander, Canonica, Claudia, Christoforidis, Dimitrios, Fasolini, Fabrizio, Gaffuri, Paolo, Giuliani, Mauro, Meani, Francesco, Popeskou, Sotirios Georgios, Pozza, Silvia, Wandschneider, Wiebke, Peterer, Lorenz, Widmer, Lukas Werner, Zimmermann, Bernd, Bakoleas, Panagiotis, Chanousi, Iris, Charalampidou, Lydia, Grochola, Lukasz Filip, Heid, Franziska, Ntaoulas, Sotirios, Outos, Michail, Peros, Georgios, Podolska-Skoczek, Hanna, Reinisch, Katharina Beate, Zielasek, Christian, Demartines, Nicolas, Gilgien, Jérôme, Kefleyesus, Amaniel, St-Amour, Pénélope, Toussaint, Arnaud, Alhimyar, Maryam, Alsaid, Bayan, Alyafi, Amr, Alkhaledi, Ahmad, Kouz, Basel, Omarain, Ahmad, Al-Sabbagh, Yusra, Alkhatib, Haya, Sara, Samer, Alhaj, Ahmad, Danial, Aghyad, Kadoura, Lama, Maa Albared, Sarah, Monawar, Yamen, Nahas, Louei, Abd, Barook, Saad, Ahmad, Wakkaf, Habib, Bouzaiene, Hatem, Ghalleb, Montassar, Akaydin, Elif, Akbaba, Ata Cem, Atakul, Onur, Baltaci, Ege, Besli, Sevval, Burgu, Gökçen, Cenal, Ulukan, de Muijnck, Cansu, Demirkaya, Hasan Can, Dogruoz, Alper, Gezer, Zeynep Ipek, Gündoğdu, Yasemin, Kara, Merve, Korkmaz, Hasan Kürşad, Kurtoğlu, Gökalp Kağan, Ozben, Volkan, Ozmen, Berk Baris, Pektaş, Ahmet Murat, Sel, Eda Kübra, Yenidünya, Nilüfer, Bengur, Fuat Baris, Oral, Berke Mustafa, Yozgatli, Tahir Koray, Abdullayev, Seymur, Gunes, Mehmet Emin, Sahbaz, Nuri Alper, Banaz, Tuba, Kargici, Kübra, Kuyumcu, Omer Faruk, Yanikoğlu, Erkan, Yeşilsancak, Merve, Yilmaz, Duygu, Aktas, Melik Kagan, Rencuzogullari, Ahmet, Isik, Arda, Leventoğlu, Sezai, Yalçinkaya, Ali, Yüksel, Osman, Kalayci, Mustafa U, Kara, Yasin, Sarici, Inanc Samil, Akin, Alp, Alemdağ, Gökçe nur, Arslan, Ekin, Baki, Bahadir Emre, Bodur, Muhammed Selim, Calik, Adnan, Candas Altinbas, Bahar, Cihanyurdu, Irem, Erkul, Oğuz, Gül, Burak, Guner, Ali, Köse, Beyza, Semiz, Anil, Sevim, Şule, Tayar, Serkan, Tomas, Kadir, Tüfek, Ozan yavuz, Türkyilmaz, Serdar, Uluşahin, Mehmet, Usta, Arif, Yildirim, Reyyan, Güler, Sertaç Ata, Tatar, Ozan Can, Varol, Ecenur, Kirimtay, Busenur, Uysal, Muhammed, Yildiz, Alp, Kose, Emin, Ciftci, Ahmet Burak, Çolak, Elif, Eraslan, Huseyin, Kucuk, Gultekin Ozan, Yemez, Kürşat, Lule, Herman, Bienfait, Mumbere, Bua, Emmanuel, Okalany, Noella, Basarab, Maksym, Bielosludtsev, Oleksii, Kolhanova, Kateryna, Perepelytsia, Kateryna, Romanukha, Kateryna, Savenkov, Dmytro, Siryi, Stanislav, Tereshchenko, Maksym, Viacheslav, Nezamai, Volovetskyi, Anton, Kebkalo, Andrey, Tryliskyy, Yegor, Tyselskiy, Volodimir, Bruce, Eilidh, Chow, Bing Lun, Iddles, Emma, McGuckin, Sarah, Newall, Nicola, Ramsay, George, Sharma, Parivrudh, Stewart, Caitlin, Wong, Jeremy, Badran, Abdul, Bath, Michael, Belais, Fanny, Butt, Eman, Joshi, Kaustuv, Kapur, Milan, Shaw, Mike, Townson, Adam, Williams, Christopher Yee Khang, Gray, Timothy, Greig, Robert, Husain, Mansoor, Murray, Elspeth, Mustafa, Ahmed, Asif, Ashar, Gokul, Arya, Shah, Max, Akitikori, Mabel Temisanren, Charalabopoulos, Alexandros, Davidson, Sophie, McNally, Sinead, Rupani, Shamil, Juma, Fatema, Mills, Sarah Catherine, Muirhead, Laura, Sellars, Kate, Walsh, Una, Warren, Oliver, Chambers, Alice, Hunt, Richard, Boyce, Stephen, Cornwall, Hannah, Tol, Isabel, Argyriou, Eleftherios Orestis, Eardley, Nicola, Povey, Meical, Aithie, Joanna M S, Irfan, Ahmer, McGuigan, Mari-Claire, Starr, Robert, Warren, Craig Russell, Archibald, Jess, Kirby, Georgia, Kisyov, Ivan, Khoo, Chun Kheng, Lee, Rachel, Photiou, Dana, Davis, Rowan, Prasad, Uday, Yang, P Zichu, Bird, Jonathan, Leung, Edmund, Summerour, Virginia, Currow, Chelise, Kiam, Jianshen, Tan, Gerald Jack Soon, Muthusami, Anitha, Pegba-Otemolu, Ibifunke, Urbonas, Tomas, Nunoo-Mensah, Joseph, Smolskas, Edgaras, Boddy, Alex, Gravante, Gianpiero, Hunter, David, Andrew, David, Koh, Amanda, Thompson, Amari, Adams, Lawrence, Clements, Hollie A, De Silva, Kasun, Ekpete, Ogbonnia, Haque, Seraj, Henderson, Scott, Ibrahim, Bilal, Jayasinghe, Thummini, Livie, Jennifer, Mailley, Keir, Nair, Gopikrishnan, Tan, Daniel, Baggaley, Caitlin, Dawidziuk, Aleksander, Szyszka, Bartosz, Barter, Charlotte, Gandhi, Nirav, Hassell, Karen, Hitchin, Samantha, Kelsall, Jennett, Nagy, Eva, Nessa, Ashrafun, Whisker, Lisa, Yanni, Fady, Ali, Mahmoud, Arora, Deeksha, Hediwattege, Sunanda, Kumarasinghe, Navam, Rathore, Munir, Tennakoon, Athula, Ali Ahmad, Syed Mustafa, Bajomo, Oreoluwa, Nadira, Fahema, Celentano, Valerio, Griffiths, Ewen, Karri, Rama Santhosh, Mak, Jason Kei Chak, Pipe, Michelle, Bhatti, Muhammad Iqbal, Rabie, Mohamed, Boyle, Connor, Hamilton, David, Mihuna, Aishath, Ng, James Chean Khun, Nicholson, Gary, Oliwa, Agata, Pearson, Robert, Rose, Anna, Yong, Shun Qi, Boereboom, Catherine, Hanna, Michael, Walter, Catherine, Greensmith, Thomas Samuel, Mitchell, Rachel, Monaghan, Eimear, Crawford, James, Moug, Susan, Blackwell, James, Boyd-Carson, Hannah, Herrod, Philip, Al-Allaf, Omar, Beattie, Miriam, Bullock, Cameron, Burman, Shivang, Clark, Gemma, Flamey, Nicolas, Flannery, Oliver, Harding, Alexander, Kodiatt, Ben, Lawday, Samuel, Mahapatra, Shivani, Mukundu Nagesh, Navin, Ng, Michael, Rye, Dupinderjit, Yoong, Andrel, Clark, Laura, Deans, Chris, Edirisooriya, Monisha, Carrington, Emma Victoria, Wong, Tsz Lun Ernest, Yusuf, Baasil, Chamberlain, Carla, Duke, Kathryn, Kmiotek, Elizabeth, Botes, Azel, Condie, Natalie, Schrire, Timothy, Shah, Reena, Thomas-Jones, Iolo, Yates, Charlotte, Anthony, Natasha, Matthews, Edward, Sahnan, Kapil, Tankel, James, Tucker, Sally, Winter Beatty, Jasmine, Ziprin, Paul, Duggan, William, Kantartzi, Anastasia, Sridhar, Shruthi, Khaw, Rachel Alys, Srivastava, Prakhar, Underwood, Charlotte, Alves do Canto Brum, Homero, Chopra, Sharat, Davis, Laura, Hughes, Rebecca, Tulley, Joshua, Alberts, Justin, Athisayaraj, Thomas, Olugbemi, Mojolaoluwa, Ahmad, Kasim, Chan, Claudia, Chapman, Gavin, Fleming, Hannah, Fox, Benjamin, Grewar, Julia, Hulse, Kate, Rutherford, Duncan, Sinead, Mackay, Smith, Scott, Speake, Doug, Vaughan-Shaw, Peter G, Christodoulides, Natasha, Kudhail, Simrit, Welch, Matthew, Husaini, Syed Muhibullah, Lambracos, Simon, Anyanwu, Chikamuche, Suresh, Rishi, Thomas, Jimmy Scott, Gleeson, Elizabeth, Platoff, Rebecca, Saif, Areeba, Enumah, Zachary, Etchill, Eric, Gabre-Kidan, Alodia, Bernstein, Mitchell, Carrano, Francesco Maria, Connors, Joseph, Lynn, Patricio, Melis, Marcovalerio, Newman, Elliot, Foster, Deshka S, Perrone, Kenneth, Titan, Ashley, Ahmad, Sarwat, Bafford, Andrea Chao M.D., Dal Molin, Marco, Hanna, Nader, Zafar, Syed Nabeel, Hemmila, Mark, Napolitano, Lena, Wong, Jane J, Chandler, Julia, Wood, Lauren, Wren, Sherry, Ottesen, Taylor, You, Lucia, Yu, Kristin, Arciénega Yañez, María del pilar, Ferreira Fernandes, Martin, González, Daniel, Cubas, Santiago, González, María Catalina, Zubiaurre, Vanessa, Demolin, Rodrigo, Giroff, Nicolas, Sciuto, Pablo, Campos, Maite, Rodríguez Cantera, Gabriela, Deepika, Garg, Simuchimba, Elliot, Bulaya, Anadi, Chibuye, Chali, Chirengendure, Bright, Kabale, Mary-Rose, Kabongo, Kizito, Munthali, James, Mweso, Oliver, Pikiti, Francis, Otieno, James, Lai, Log Tung, Blackman, Brighid, Richards, Sophie, Subramaniam, Suren, Karim, Rafid, Kok, Nathan, Lee, Yanni Dion, Ali, Shabina, Sinha, Aanjaneya, Corrigan, Robert, Barnes, Nicole, Wong, Florence, Dennis, Grace, Jedamzik, Julia, Phillips, Emil, Piette, Wivine, Van hentenryck, Marie, Koco, Houenoukpo, Lawani, Souliath, Kassa, Mamo Woldu, Santos Bezerra, Tainá, Gribnev, Petar, Dimitrov, Dobromir, Krastev, Panche, Oum, Sovannarith, Bonghaseh, Divine Tim, Al Farsi, Maryam, Alsharqawi, Nourah, Acevedo, Veronica, Castillo Barbosa, Andrea Carolina, Giron, Felipe, Leon Rodriguez, Jimmy Paul, Kučan, Darko, Rosko, Damir, Barsic, Neven, Župan, Domagoj, Hegazi, Amgad, Trunčíková, Vendula, Fryba, Vladimir, Mohamed, Mostafa, Sultan, Ahmed, Nagi, Ahmed, Rashad Temerik, Abdallah, Elshawy, Mohamed Elemam, Mahmoud, Moustafa Ibrahim, Omar, Shrouk, Anwar, Mohamed, Rageh, Tarek, Elmokadem, Aya, Gaballa, Khaled, Teppo, Sandra, Turunen, Antti, Pengermä, Pasi, Ballouhey, Quentin, Bergeat, Damien, Weyl, Ariane, Hain, Elisabeth, Gyedu, Adam, Yenli, Edwin, Osei-Poku, Dorcas, Rompou, Vaia-Aliki, Zoikas, Athanasios, Gaitanidis, Apostolos, Koukis, Georgios, Perivoliotis, Konstantinos, Tavlas, Panagiotis, Galanos-Demiris, Konstantinos, Zografos, George, Karavokyros, Ioannis, Xanthopoulou, Georgia, Iordanidou, Eirini, Ayau, Fernanda, Garcia, Allan, Damján, Pekli, Wason, Deepender, B L, Ashika, Rangganata, Ervandy, Kamath, Prerna, O'Connor, Donal B, Pinto, Margherita, Perrone, Fabrizio, Tropeano, Francesca Paola, Troilo, Francesca, Bossi, Daniela, Scala, Dario, Pulitanò, Lucrezia, Carella, Marcella, Pietrabissa, Andrea, Gori, Alice, Giraudo, Giorgio, De Simone, Veronica, Russo, Alfio Alessandro, Braccio, Bartolomeo, Al-Taher, Raed, Athamneh, Sarah, Parker, Andrea, Sawiee, Adnan, Kattia, Amina, Salem, Malik, Tababa, Osama, Shaeeb, Zuhour, Syminas, Vilius, Jurgaitis, Jonas, Damulevičienè, Gytè, Svagzdys, Saulius, Razafimanjato, Narindra Njarasoa Mihaja, Chieng Loo, Ling, Tiong, Ing Ching, Wan Muhmad, Wan Farahiyah, Vijeyan, Harinthiran, Li Ying, Teoh, Grech, Gabriella, Arrangoiz, Rodrigo, Jimenez Ley, Vania Brickelia, Arizpe, Daniel, Lagunes Lara, Elizabeth, Castro López, Elizabeth Victoria, Eaazim, Jose, Gordinou de Gouberville, Marije, Bastiaenen, Vivian, Rottier, Simone, Nahab, Fouad, Ji, Maria Yeonhee, Seyoji, Mohammed, Nwachukwu, Callistus, Emeghara, Okechukwu, Muhammed, Sayyid Egbunu, Idowu, Ayodeji, Sowemimo, Olamiposi, Ogundoyin, Olakayode, Akande, Oluwatosin, Lott, Alexander, Nadeem, Maliha, Laghari, Ahsan Ali, Loya, Asif, Mushtaq, Hassan, Abdullah, Muhammad Tariq, Abuhilal, Baseel, Atawneh, Mohammad, Hamdan, Hamdan, Alhabil, Belal, Srour, Abedelrahman, Mousa, Ibrahim, Da Silva Medina, Luis, Bartosiak, Katarzyna, Ferreira, Pedro, Francisco, Vítor, Lemos, Ricardo, Frutuoso, Luísa, Fernandes, Sara, Fonseca, Telma, Pereira, Jorge, Rachadell, Juan, Torre, Ana, Madeira Martins, Filipe, Carvalho, Ana Cristina, Rodrigues Ferreira, Joana, Ribeiro da Silva, Bruno, Devesa, Helena, Vieira, Ana, Mónica, Inês, Amaro, Margarida, Sousa, Diogo, Reia, Marta, Louro, João, Martins, Ana, Dominguez, Joaquina, Santos, Inês, Freitas Oliveira, Nuno Miguel, Pereira, José Carlos, Silva-Vaz, Pedro, Freire, Ligia, Escrevente, Ricardo, Negoita, Valentina Madalina, Shakhmatov, Dmitry, Nezerwa, Yves, Radulovic, Radosav, Obery, Gareth, Viljoen, Francois, Mendes, Tome, Suarez, Antonio, Moncada, Enrique, Fernandez-Hevia, Maria, Curtis Martínez, Carolina, Gil Garcia, Julia Maria, González Zunzarren, Mariana, Idris, Tarig, Eklöv, Karolina, Grahn, Oskar, Amin, Leila, Blomqvist, Malin, Ajani, Costanza, Kraus, Rebecca, Seeger, Nico, Willemin, Melissa, Rayya, Fadi, Ayash, Mohammad, Msouti, Raneem, Kannas, Israa, Abazid, Eias, Esper, Asil, Slim, Skander, Kavcar, Akil Serdar, Aytac, Erman, Dural, Ahmet Cem, Ilker, Ayse, Eray, Ismail Cem, Kurnaz, Eray, Altiner, Saygin, Tepe, Mustafa Deniz, Şahin, Can, Savli, Evrim, Innocent, Aryon, Babirye, Lilian, Diachenko, Andrii, Hordoskiy, Vladislav, Curry, Heather, Chau, Charlene Yat Che, Robertson, Harry, Mahmoud, Arin, Lennon, Hannah, Loi, Lynette, Kirkham, Emily, McCann, Cameron, Watts, Daniel, Gurung, Binay, Wilson, Michael, Tribedi, Thomas, Garofalo, Eleonora, Zahra, Baryab, MacDonald, Scott, Daniels, Ian, Ng, Nathan, Khosla, Shivun, Olivier, James, Yue, Sum Yu Pansy, Suresh, Gayathri, Wellington, Jack, Lorejo, Emmanuel, Mossaad, Mafdi, Crutcher, Madison, Alimi, Marjan, Baiu, Ioana, Abdou, Hossam, Conway, Alison, Peck, Connor, Perdomo Perez, Mauro Andres, Zulu, Stanley, Nakazwe, Mildred, Burger, Sule, Davies, Justine, Donaldson, Rachel, Ede, Chikwendu, Garden, O James, Lesetedi, Chiapo, Mabedi, Charles, Magill, Laura, Makinde Alakaloko, Felix, Makupe, Alex, Monahan, Mark, Mulira, Soloman, Muller, Elmi, Musowoyo, Jospeh, Olory-Togbe, Jean Léon, Roberts, Tracey, Smith, Martin, Tayler, Viki, Windsor, John, Yepez, Raul, Sundar, Sudha, Runigamugabo, Emmy, Verjee, Azmina, Chen, José, Daya, Leonid, El Aroussi, Nouhaila, Farina, Valeria, Gnintedeme Olivier, Tchianze, Gonzales Nacarino, Mauricio, Hammani, Aamr, Honjo, Sarah, Jacobs, Rebecca, Kimura, Hitomi, Nkoronko, Mugisha, Oscullo Yepez, Jasson Javier, Pin Hung, Wei, Raj, Ankit, Romani Pozo, Alina, Rommaneh, Muna, Sassamela Fabiano, Samuel Chimbioputo, Shiroma Gago, Camila Milagros, Srinivas, Abhishekh, Sung, Chia-Yen, Tai, Aswan, Valle Aranda, Yener Cristyell, Venturini, Sara, and Wilguens Lartigue, Jean

Published
2022
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39. A quick evaluation of ecological restoration based on arthropod communities and trophic guilds in an urban ecological preserve in Mexico City

Author

Manuel Edday Farfán-Beltrán, Mariana Chávez-Pesqueira, Johnattan Hernández-Cumplido, and Zenón Cano-Santana

Subjects
Diversity, Urban ecology, Trophic guilds, Restoration, Zoology, QL1-991, Botany, QK1-989
Abstract

Abstract Background Restoration practices usually emphasize on the structural part of the biodiversity; also, most studies have focused on plants and very few have been conducted on arthropods and its function after restoration. The Pedregal de San Angel Ecological Reserve (PSAER) is a protected area immersed in Mexico City and it has been drastically affected by different anthropogenic disturbances. The aim of this study was to compare the relative diversity, richness, and abundance of species level identification, but also the composition through an analysis of ordination of taxonomic (species, family, and order level) and functional (trophic guild) traits of arthropods in three sites subjected to ecological restoration within the PSAER. Restored sites were also compared to conserved and disturbed sites, to evaluate whether restoration efforts are effective at the reserve. Methods Arthropods were sampled using pan traps during September 2013 in 11 sites (three restored, four conserved and four disturbed) inside the PSAER. All sampled species were taxonomically identified at species of morphospecies (inside a family) and assigned to a trophic guild. Differences in diversity, richness and abundance were evaluated through effective number of species, comparisons of Chao’s1 estimated richness and a non-parametric Kruskal–Wallis test, respectively. Both taxonomic and trophic guild composition were evaluated using a multivariate analysis and a post hoc test. Results We found some differences in richness, abundance, and diversity between sites, but not a clear pattern of differentiation between restored to disturbed sites. The NMDS showed differences at species and order level, and with trophic guilds, among site types. Families were not useful to differentiate types of sites. Regarding guilds, predators were more abundant in conserved sites, while phytophagous insects were more abundant in disturbed sites. Conclusions Species and order level were useful to identify differences in communities of arthropods in sites with different management. The trophic guild approach provides information about the functional state of the restored sites. Nevertheless, our quick evaluation shows that restoration efforts at PSAER have not been successful in differentiate restored to disturbed sites yet.

Published
2022
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40. Influence of chronic use of corticosteroids and calcineurin inhibitors on COVID-19 clinical outcomes: analysis of a nationwide registry

Author

Calderón-Parra, Jorge, Cuervas-Mons, Valentín, Moreno-Torres, Victor, Rubio-Rivas, Manuel, Blas, Paloma Agudo-de, Pinilla-Llorente, Blanca, Helguera-Amezua, Cristina, Jiménez-García, Nicolás, Pesqueira-Fontan, Paula-María, Méndez-Bailón, Manuel, Artero, Arturo, Gilabert, Noemí, Ibánez-Estéllez, Fátima, Freire-Castro, Santiago-Jesús, Lumbreras-Bermejo, Carlos, and Antón-Santos, Juan-Miguel

Published
2022
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41. Enhancement of the Potential Window of Ppy Electrodes in the Presence of a Bis(Oxamato) Nickel(II) Complex for High‐Performance Supercapacitor.

Author

Pesqueira, Camila, Hryniewicz, Bruna M., Klobukoski, Vanessa, Weheabby, Saddam, Kanoun, Olfa, Rüffer, Tobias, Pašti, Igor A., and Vidotti, Marcio

Subjects
POLYMER electrodes, HYBRID materials, ENERGY storage, CONDUCTING polymers, SURFACE properties, SUPERCAPACITORS, SUPERCAPACITOR electrodes
Abstract

Enhancing the supercapacitors' performance relies on the increased capacitance and voltage window, which are the current key challenges for developing new materials. In this study, the mononuclear NiII‐bis(oxamato) complex ([nBu4N]2[Ni(opba)], 1) has been synthesized and used as a template in polypyrrole (PPy) based conductive polymer as a novel electrode material for supercapacitor applications. The surface and structural properties of PPy and PPy/1 electrodes were studied using SEM and TEM to elucidate their interactions. The results of characterization techniques revealed that complex 1 altered the morphology, creating a prominent three‐dimensional globular structure in the PPy/1 hybrid material without significant chemical modification. The electrochemical properties of PPy and PPy/1 were investigated by CV, EIS, and GCD analyses. The PPy/1 electrode demonstrated intense pseudocapacitive behavior, showing a significantly widened potential window and increased current compared to the PPy electrode, resulting in enhanced energy storage capacity within the material. This improvement was evaluated by testing a symmetric supercapacitor in a coin cell architecture with an alginate‐based gel acting as both electrolyte and separator. The maximum specific cell capacitance reached 41.6 F g−1 at a current density of 0.2 A g−1, with a remarkable capacity retention of 97 % after 1000 galvanostatic charge/discharge cycles. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Evaluating Activation Functions in GAN Models for Virtual Inpainting: A Path to Architectural Heritage Restoration.

Author

Maitin, Ana M., Nogales, Alberto, Delgado-Martos, Emilio, Intra Sidola, Giovanni, Pesqueira-Calvo, Carlos, Furnieles, Gabriel, and García-Tejedor, Álvaro J.

Subjects
GENERATIVE adversarial networks, IMAGE reconstruction, COMPUTER vision, ARTIFICIAL intelligence, VISUAL perception, DEEP learning
Abstract

Computer vision has advanced much in recent years. Several tasks, such as image recognition, classification, or image restoration, are regularly solved with applications using artificial intelligence techniques. Image restoration comprises different use cases such as style transferring, improvement of quality resolution, or completing missing parts. The latter is also known as image inpainting, virtual image inpainting in this case, which consists of reconstructing missing regions or elements. This paper explores how to evaluate the performance of a deep learning method to do virtual image inpainting to reconstruct missing architectonical elements in images of ruined Greek temples to measure the performance of different activation functions. Unlike a previous study related to this work, a direct reconstruction process without segmented images was used. Then, two evaluation methods are presented: the objective one (mathematical metrics) and an expert (visual perception) evaluation to measure the performance of the different approaches. Results conclude that ReLU outperforms other activation functions, while Mish and Leaky ReLU perform poorly, and Swish's professional evaluations highlight a gap between mathematical metrics and human visual perception. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Judicialização do acesso a medicamentos na cidade de Petrolina, Pernambuco

Author

Amanda Alves Pesqueira and Rosa Maria Martinez Castor de Cerqueira

Subjects
Pharmacy and materia medica, RS1-441, Pharmaceutical industry, HD9665-9675
Abstract

Introdução: Verifica-se no Brasil um aumento do número de decisões judiciais que submete ao poder público o fornecimento de bens e serviços de saúde. A judicialização do acesso da população a medicamentos é um fenômeno indicativo de que o acesso à saúde como um direito a ser preservado por meio de políticas sociais e econômicas, está sendo violado. É uma ferramenta em que o cidadão aciona o judiciário para reivindicar o direito de acesso a medicamentos e o cumprimento de determinações judiciais para o deferimento de tal direito, o que implica em gastos elevados e não programados. O presente trabalho teve como objetivo identificar os medicamentos pleiteados judicialmente e analisar quanto a sua incorporação ou não na Assistência Farmacêutica (AF) pelo Sistema Único de Saúde (SUS). Material e Método: Trata-se de uma pesquisa descritiva com levantamento dos dados pertencentes às demandas por acesso a medicamentos via judicial, nos arquivos do setor da Coordenação da Assistência Farmacêutica na Secretária Municipal de Saúde de Petrolina, Pernambuco. As variáveis estudadas foram princípio ativo, classe terapêutica, forma farmacêutica, concentração dos medicamentos reivindicados e classificação quanto a sua incorporação em algum dos componentes da AF pelo Sistema Único de Saúde. O projeto foi aprovado pelo Comitê de Ética em Pesquisa. Resultados: Foram analisadas 36 ações judiciais que estavam em situações de andamento, o que envolve desde o pedido inicial do autor até a decisão judicial. Dessas 11,1% continham pedido de mais de um item, dos quais 61,8% não pertenciam aos programas de AF do SUS. A frequência foi de 63,1% para antineoplásicos e agentes imunossupressores, 26,3% insulina e análogas e 10,5% para medicamentos hormonais e sistêmicos. Discussão: A solicitação de medicamentos não incorporados pode refletir vazios assistenciais ou a demora do sistema público de saúde na incorporação de novas tecnologias, assim como a intervenção da indústria farmacêutica sobre os prescritores, na tentativa de motivar a necessidade do uso de determinados medicamentos. Já as solicitações de medicamentos pertencentes às listas oficiais do SUS podem ocorrer devido a sua falta constante nas farmácias das unidades, ou o desconhecimento das listas oficiais de medicamentos do sistema público por parte dos prescritores e requerentes. Conclusão: É preciso reconhecer os direitos a garantia do acesso a medicamentos e da sua utilização de forma segura visando à proteção da saúde da população, ofertando a terapêutica pertinente e racional para atender à situação clínica de cada paciente. Sugere-se, portanto, comunicação entre o judiciário e a área da AF, levando em consideração que a análise técnica é necessária para se comprovar a adequação da prescrição, a disponibilidade de alternativas terapêuticas no SUS e, quando necessário, o acompanhamento dos efeitos do uso do medicamento no paciente.

Published
2023
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45. Predicting critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model

Author

Abrego-Vaca, Luis F., Andreu-Arnanz, Ana, Arce-García, Octavio A., Bajo-González, Marta, Borque-Sanz, Pablo, Cózar-Llistó, Alberto, Del Hoyo-Cuenda, Beatriz, Gamboa-Osorio, Alejandra, García-Sánchez, Isabel, López-Cisneros, Óscar A., Merino-Ortiz, Borja, Riera-González, Elisa, Rey-García, Jimena, Sánchez-Díaz, Cristina, Starita-Fajardo, Grisell, Suárez-Carantoña, Cecilia, Zhilina, Svetlana Zhilina, Martínez-Lacalzada, Miguel, Viteri-Noël, Adrián, Manzano, Luis, Fabregate, Martin, Rubio-Rivas, Manuel, Luis García, Sara, Arnalich-Fernández, Francisco, Beato-Pérez, José Luis, Vargas-Núñez, Juan Antonio, Calvo-Manuel, Elpidio, Espiño-Álvarez, Alexia Constanza, Freire-Castro, Santiago J., Loureiro-Amigo, Jose, Pesqueira Fontan, Paula Maria, Pina, Adela, Álvarez Suárez, Ana María, Silva-Asiain, Andrea, García-López, Beatriz, Luque del Pino, Jairo, Sanz-Cánovas, Jaime, Chazarra-Pérez, Paloma, García-García, Gema María, Núñez-Cortés, Jesús Millán, Casas-Rojo, José Manuel, and Gómez-Huelgas, Ricardo

Published
2021
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47. Straight rod with different order of thickness

Author

Griso, Georges and Pesqueira, Manuel Villanueva

Subjects
Mathematics - Analysis of PDEs
Abstract

In this paper, we consider rods whose thickness vary linearly between $\eps$ and $\eps^2$. Our aim is to study the asymptotic behavior of these rods in the framework of the linear elasticity. We use a decomposition method of the displacement fields of the form $u=U\_e + \bar{u}$, where $U\_e$ stands for the translation-rotations of the cross-sections and $\bar{u}$ is related to their deformations. We establish a priori estimates. Passing to the limit in a fixed domain gives the problems satisfied by the bending, the stretching and the torsion limit fields which are ordinary differential equations depending on weights., Comment: in Asymptotic Analysis, IOS Press, 2016

Published
2016

48. External validation of BIA equations to estimate appendicular skeletal muscle mass in older adults: Importance of the bias analysis and derivation of correction factors to achieve agreement

Author

María Cáñez-Ríos, Julián Esparza-Romero, Rogelio González-Arellanes, Maribel Ramírez-Torres, Guadalupe Figueroa-Pesqueira, René Urquidez-Romero, Diana Beatriz Rangel-Peniche, and Heliodoro Alemán-Mateo

Subjects
appendicular skeletal muscle mass, non-Caucasian older adults, predictive equations, bioimpedance analysis, dual-energy X-ray absorptiometry, external validation, Nutrition. Foods and food supply, TX341-641
Abstract

There are several equations based on bioelectrical impedance analysis (BIA) to estimate with high precision appendicular skeletal muscle mass (ASM). However, most of the external validation studies have reported that these equations are inaccurate or biased when applied to different populations. Furthermore, none of the published studies has derived correction factors (CFs) in samples of community-dwelling older adults, and none of the published studies have assessed the influence of the dual-energy X-ray absorptiometry (DXA) model on the validation process. This study assessed the agreement between six BIA equations and DXA to estimate ASM in non-Caucasian older adults considering the DXA model and proposed a CF for three of them. This analysis included 547 non-institutionalized subjects over 60 years old from the northwest of Mexico who were physically independent and without cognitive impairment: 192 subjects were measured using DXA Hologic, while 355 were measured by DXA Lunar. The agreement between each of the equations and DXA was tested considering the DXA model used as a reference method for the design of each equation, using the Bland and Altman procedure, a paired t test, and simple linear regression as objective tests. This process was supported by the differences reported in the literature and confirmed in a subsample of 70 subjects measured with both models. Only six published BIA equations were included. The results showed that four equations overestimated ASMDXA, and two underestimated it (p < 0.001, 95% CI for Kim's equation:−5.86-−5.45, Toselli's:−0.51-−0.15, Kyle's: 1.43–1.84, Rangel-Peniche's: 0.32–0.74, Sergi's: 0.83–1.23, and Yoshida's: 4.16–4.63 kg). However, Toselli's, Kyle's and Rangel-Peniche's equations were the only ones that complied with having a homogeneous bias. This finding allowed the derivation of CFs, which consisted of subtracting or adding the mean of the differences from the original equation. After estimating ASM applying the respective CF, the new ASM estimations showed no significant bias and its distribution remained homogeneously distributed. Therefore, agreement with DXA in the sample of non-Caucasian was achieved. Adding valid CFs to some BIA equations allowed to reduce the bias of some equations, making them valid to estimate the mean values of ASM at group level.

Published
2022
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49. The Role of Elasticity on Chaotic Dynamics: Insights from Mechanics, Immunology, Ecology, and Rheology

Author

Ángela Jiménez-Casas, Mario Castro, and Manuel Villanueva-Pesqueira

Subjects
chaotic behavior, nonlinear dynamics, viscoelastic fluids, Lorenz-equations, Mathematics, QA1-939
Abstract

Elasticity is commonly associated with regular oscillations, which are prevalent in various systems at different scales. However, chaotic oscillations are rarely connected to elasticity. While overdamped chaotic systems have received significant attention, there has been limited exploration of elasticity-driven systems. In this study, we investigate the influence of elasticity on the dynamics of chaotic systems by examining diverse models derived from mechanics, immunology, ecology, and rheology. Through numerical MATLAB simulations obtained by using an ode15s solver, we observe that elasticity profoundly alters the chaotic dynamics of these systems. As a result, we term the underlying equations as the elastic-Lorenz equations. Specifically, we extensively analyze a viscoelastic fluid confined within a closed-loop thermosyphon, considering general heat flux, to demonstrate the impact of the viscoelastic parameter on the model’s chaotic behavior. Our findings build upon prior research on the asymptotic behavior of this model by incorporating the presence of a viscoelastic fluid. The results highlight the non-trivial and non-monotonic role of elasticity in understanding the control, or lack thereof, of chaotic behavior across different scales.

Published
2023
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50. Assessment of Symptoms of Grapevine Leafroll Disease and Relationship with Yield and Quality of Pinot Noir Grape Must in a 10-Year Study Period

Author

Cristina Cabaleiro, Ana M. Pesqueira, and Julián J. García-Berrios

Subjects
grapevine, virus, GLRaV, symptoms, severity, incidence, Botany, QK1-989
Abstract

Grapevine leafroll disease (GLD) is caused by one or more of the Grapevine leafroll-associated viruses (GLRaVs). GLD’s symptoms are expected to be evident in indicator cultivars, regardless of the GLRaV(s) involved. In the present study, disease incidence (I) and severity (S), symptoms before veraison (Sy < V), a disease severity index (DSI) and an earliness index (EI) (2013–2022) were recorded in order to examine the factors affecting the evolution of GLD in Pinot noir graft inoculated with scions infected with GLRaV-3 that, in origin, showed a diversity of GLD symptoms. Strong correlations between I and S (r = 0.94) and between Sy < V and EI (r = 0.94) were observed; early symptoms proved good predictors of incidence and severity after veraison and of yield and sugar content of the must. The environmental conditions and time after infection did not modify the wide range of symptoms (I: 0–81.5%; S: 0.1–4) that corresponded with the variation in losses (

Published
2023
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