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Your search keyword '"Silva, Eliezer"' showing total 154 results
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154 results on '"Silva, Eliezer"'

1. On Divergence Measures for Training GFlowNets

Author

da Silva, Tiago, da Silva, Eliezer de Souza, and Mesquita, Diego

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning, 68T05, G.3, I.5.1, I.2.8, I.2.6
Abstract

Generative Flow Networks (GFlowNets) are amortized inference models designed to sample from unnormalized distributions over composable objects, with applications in generative modeling for tasks in fields such as causal discovery, NLP, and drug discovery. Traditionally, the training procedure for GFlowNets seeks to minimize the expected log-squared difference between a proposal (forward policy) and a target (backward policy) distribution, which enforces certain flow-matching conditions. While this training procedure is closely related to variational inference (VI), directly attempting standard Kullback-Leibler (KL) divergence minimization can lead to proven biased and potentially high-variance estimators. Therefore, we first review four divergence measures, namely, Renyi-$\alpha$'s, Tsallis-$\alpha$'s, reverse and forward KL's, and design statistically efficient estimators for their stochastic gradients in the context of training GFlowNets. Then, we verify that properly minimizing these divergences yields a provably correct and empirically effective training scheme, often leading to significantly faster convergence than previously proposed optimization. To achieve this, we design control variates based on the REINFORCE leave-one-out and score-matching estimators to reduce the variance of the learning objectives' gradients. Our work contributes by narrowing the gap between GFlowNets training and generalized variational approximations, paving the way for algorithmic ideas informed by the divergence minimization viewpoint., Comment: Accepted at NeurIPS 2024, https://openreview.net/forum?id=N5H4z0Pzvn

Published
2024

2. Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets

Author

da Silva, Tiago, Silva, Eliezer, Góis, António, Heider, Dominik, Kaski, Samuel, Mesquita, Diego, and Ribeiro, Adèle

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Structure learning is the crux of causal inference. Notably, causal discovery (CD) algorithms are brittle when data is scarce, possibly inferring imprecise causal relations that contradict expert knowledge -- especially when considering latent confounders. To aggravate the issue, most CD methods do not provide uncertainty estimates, making it hard for users to interpret results and improve the inference process. Surprisingly, while CD is a human-centered affair, no works have focused on building methods that both 1) output uncertainty estimates that can be verified by experts and 2) interact with those experts to iteratively refine CD. To solve these issues, we start by proposing to sample (causal) ancestral graphs proportionally to a belief distribution based on a score function, such as the Bayesian information criterion (BIC), using generative flow networks. Then, we leverage the diversity in candidate graphs and introduce an optimal experimental design to iteratively probe the expert about the relations among variables, effectively reducing the uncertainty of our belief over ancestral graphs. Finally, we update our samples to incorporate human feedback via importance sampling. Importantly, our method does not require causal sufficiency (i.e., unobserved confounders may exist). Experiments with synthetic observational data show that our method can accurately sample from distributions over ancestral graphs and that we can greatly improve inference quality with human aid.

Published
2023

3. Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching

Author

da Silva, Eliezer de Souza, Kuśmierczyk, Tomasz, Hartmann, Marcelo, and Klami, Arto

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

The behavior of many Bayesian models used in machine learning critically depends on the choice of prior distributions, controlled by some hyperparameters that are typically selected by Bayesian optimization or cross-validation. This requires repeated, costly, posterior inference. We provide an alternative for selecting good priors without carrying out posterior inference, building on the prior predictive distribution that marginalizes out the model parameters. We estimate virtual statistics for data generated by the prior predictive distribution and then optimize over the hyperparameters to learn ones for which these virtual statistics match target values provided by the user or estimated from (subset of) the observed data. We apply the principle for probabilistic matrix factorization, for which good solutions for prior selection have been missing. We show that for Poisson factorization models we can analytically determine the hyperparameters, including the number of factors, that best replicate the target statistics, and we study empirically the sensitivity of the approach for model mismatch. We also present a model-independent procedure that determines the hyperparameters for general models by stochastic optimization, and demonstrate this extension in context of hierarchical matrix factorization models.

Published
2019

4. Augmented Memory Networks for Streaming-Based Active One-Shot Learning

Author

Kvistad, Andreas, Ruocco, Massimiliano, da Silva, Eliezer de Souza, and Aune, Erlend

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

One of the major challenges in training deep architectures for predictive tasks is the scarcity and cost of labeled training data. Active Learning (AL) is one way of addressing this challenge. In stream-based AL, observations are continuously made available to the learner that have to decide whether to request a label or to make a prediction. The goal is to reduce the request rate while at the same time maximize prediction performance. In previous research, reinforcement learning has been used for learning the AL request/prediction strategy. In our work, we propose to equip a reinforcement learning process with memory augmented neural networks, to enhance the one-shot capabilities. Moreover, we introduce Class Margin Sampling (CMS) as an extension of the standard margin sampling to the reinforcement learning setting. This strategy aims to reduce training time and improve sample efficiency in the training process. We evaluate the proposed method on a classification task using empirical accuracy of label predictions and percentage of label requests. The results indicates that the proposed method, by making use of the memory augmented networks and CMS in the training process, outperforms existing baselines.

Published
2019

5. Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions

Author

Vassøy, Bjørnar, Ruocco, Massimiliano, da Silva, Eliezer de Souza, and Aune, Erlend

Subjects
Computer Science - Information Retrieval
Abstract

In recent years session-based recommendation has emerged as an increasingly applicable type of recommendation. As sessions consist of sequences of events, this type of recommendation is a natural fit for Recurrent Neural Networks (RNNs). Several additions have been proposed for extending such models in order to handle specific problems or data. Two such extensions are 1.) modeling of inter-session relations for catching long term dependencies over user sessions, and 2.) modeling temporal aspects of user-item interactions. The former allows the session-based recommendation to utilize extended session history and inter-session information when providing new recommendations. The latter has been used to both provide state-of-the-art predictions for when the user will return to the service and also for improving recommendations. In this work we combine these two extensions in a joint model for the tasks of recommendation and return-time prediction. The model consists of a Hierarchical RNN for the inter-session and intra-session items recommendation extended with a Point Process model for the time-gaps between the sessions. The experimental results indicate that the proposed model improves recommendations significantly on two datasets over a strong baseline, while simultaneously improving return-time predictions over a baseline return-time prediction model.

Published
2018

6. Chalcone dimers from Astronium graveolens (Anacardiaceae) and their biological activities.

Author

da Silva, Eliezer P., David, Jorge M., David, Juceni P., Alves, Clayton Q., and Moreira, Bruno O.

Abstract

This work describes the chemical composition of the stems of Astronium graveolens Jacq. (Anacardiaceae). The CH 2 Cl 2 and EtOAc soluble fractions of this extract were subjected to chromatographic procedures that allowed obtaining the unreported dimers (7" R *, 8" S *) 2′, 4,4′, 5-tetrahydroxychalcone-(2 → 7", 8 → 8")-2′", 4", 4′"- trihydroxy-7", 8"-dihydrochalcone and (7 S *,8 R *,7" S *,8" S *)-2′,4,4′,5,7-pentahydroxy-7,8-dihydrochalcone-(2→7",8→8")-2′",4",4"'-7 ", 8 "- dihydrochalcone, the previously isolated chalcone dimer named matosine (7 S *,8 S *,7'' S *,8" R *)-2′,4,4′, 5,7-pentahydroxy-7,8-dihydrochalcone-(2→7", 8→8")-2′", 4", 4′"-trihydroxy-7", 8"- dihydrochalcone). Besides these specific chalcone dimers, sitosterol, sitosterol-3- O -β-D-glucoside, methyl gallate, gallic acid, and quercitrin were also isolated. These compounds were identified by mono and bidimensional NMR data analysis and HRMS. Methanolysis of triacylglycerides yielded a mixture of fatty acid methyl esters, which were identified by GC-MS. The profile indicated this fraction is composed of saturated (54.13 %) and unsaturated (46.21 %) fatty acids, and palmitic acid and oleic acid are the major components. The brine shrimp test of the extract showed that the soluble fraction CH 2 Cl 2 of the stems exhibited high toxicity; meanwhile, the EtOAc soluble fraction presented moderate toxicity. The Elmann test indicated that the EtOAc was considered an expressive AChE inhibitor, and the chalcone dimers 1 , 2, and 3 present excellent anticholinesterase activities inhibiting 83.88 %, 70.72 %, and 62.60 % AChE at concentrations of 500 µM, respectively. [Display omitted] • New chalcone dimers were isolated from Astronium graveolens stem. • Astronium graveolens extracts and isolated chalcone dimers inhibit anticholinesterase enzyme. • Chalcone dimers were isolated for the first time in Astronium genus. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies

Author

Martinez, Amadeu, Leal, Livia, Jorge Pereira, Antonio, de Oliveira Maia, Marcelo, Neto, Josè Aires, Piras, Claudio, Caser, Eliana Bernadete, Moreira, Cora Lavigne, Braga Gusman, Pablo, Dalcomune, Dyanne Moysés, Ribeiro de Carvalho, Alexandre Guilherme, Gondim, Louise Aline Romão, Castelo Branco Reis, Lívia Mariane, da Cunha Ribeiro, Daniel, de Assis Simões, Leonardo, Campos, Rafaela Siqueira, Fernandez Versiani dos Anjos, José Carlos, Bruzzi Carvalho, Frederico, Alves, Rossine Ambrosio, Nunes, Lilian Batista, Réa-Neto, Álvaro, de Oliveira, Mirella Cristine, Tannous, Luana, Cardoso Gomes, Brenno, Rodriguez, Fernando Borges, Abelha, Priscila, Lugarinho, Marcelo E, Japiassu, Andre, de Melo, Hélder Konrad, Lopes, Elton Afonso, Varaschin, Pedro, de Souza Dantas, Vicente Cés, Freitas Knibel, Marcos, Ponte, Micheli, de Azambuja Rodrigues, Pedro Mendes, Costa Filho, Rubens Carmo, Saddy, Felipe, Wanderley Castellões, Théia Forny, Silva, Suzana Alves, Osorio, Luiz Antonio Gomes, Mannarino, Dora, Espinoza, Rodolfo, Righy, Cassia, Soares, Marcio, Salluh, Jorge, Tanaka, Lilian, Aragão, Daniel, Tavares, Maria Eduarda, Kehdi, Maura Goncalves Pereira, Rezende, Valéria Maria Campos, Carbonell, Roberto Carlos Cruz, Teixeira, Cassiano, de Oliveira, Roselaine Pinheiro, Maccari, Juçara Gasparetto, Castro, Priscylla Souza, Berto, Paula, Schwarz, Patricia, Torelly, André Peretti, Lisboa, Thiago, Moraes, Edison, Dal-Pizzol, Felipe, Tomasi Damiani, Cristiane, Ritter, Cristiane, Ferreira, Juliana Carvalho, Teixeira Costa, Ramon, Caruso, Pedro, Amendola, Cristina Prata, de Oliveira, Amanda Maria R R, Silva, Ulysses V A, Sanches, Luciana Coelho, Almeida, Rosana D S, Azevedo, Luciano Cesar, Park, Marcelo, Schettino, Guilherme, Assunção, Murillo Santucci, Silva, Eliezer, Barboza, Carlos Eduardo, Junior, Antonio Paulo Nassar, Marzocchi Tierno, Paulo Fernando G M, Malbouisson, Luis Marcelo, Oliveira, Lucas, Cristovao, Davi, Neto, Manoel Leitão, Rego, Ênio, Fernandes, Fernanda Eugênia, Romano, Marcelo Luz Pereira, Cavalcanti, Alexandre Biasi, de Souza Barros, Dalton, Suzumura, Érica Aranha, Meira, Karla Loureiro, de Oliveira, Gustavo Affonso, Luciano, Paula Menezes, Pacheco, Evelin Drociunas, Mazza, Bruno Franco, Machado, Flavia Ribeiro, Ferreira, Elaine, dos Santos, Ronaldo Batista, Colombo, Alexandra Siqueira, Nogueira, Antonio Carlos, Fernandes, Juliana Baroni, Nóbrega, Raquel Siqueira, do CS Martins, Barbara, Soriano, Francisco, Morsch, Rafaela Deczka, Nunes, Andre Luiz Baptiston, de Almeida, Juliano Pinheiro, Hajjar, Ludhmila, Moulin, Sílvia, Giannini, Fábio Poianas, Baptiston Nunes, Andre Luiz, Rios, Fernando, Van Haren, Frank, Sottiaux, T, Lora, Fredy S, Azevedo, Luciano C, Depuydt, P, Fan, Eddy, Bugedo, Guillermo, Qiu, Haibo, Gonzalez, Marcos, Silesky, Juan, Cerny, Vladimir, Nielsen, Jonas, Jibaja, Manuel, Pham, Tài, Wrigge, Hermann, Matamis, Dimitrios, Ranero, Jorge Luis, Hashemian, S M, Amin, Pravin, Clarkson, Kevin, Bellani, Giacomo, Kurahashi, Kiyoyasu, Villagomez, Asisclo, Zeggwagh, Amine Ali, Heunks, Leo M, Laake, Jon Henrik, Palo, Jose Emmanuel, do Vale Fernandes, Antero, Sandesc, Dorel, Arabi, Yaasen, Bumbasierevic, Vesna, Lorente, Jose A, Larsson, Anders, Piquilloud, Lise, Abroug, Fekri, McAuley, Daniel F, McNamee, Lia, Hurtado, Javier, Bajwa, Ed, Démpaire, Gabriel, Francois, Guy M, Sula, Hektor, Nunci, Lordian, Cani, Alma, Zazu, Alan, Dellera, Christian, Insaurralde, Carolina S, Alejandro, Risso V, Daldin, Julio, Vinzio, Mauricio, Fernandez, Ruben O, Cardonnet, Luis P, Bettini, Lisandro R, Bisso, Mariano Carboni, Osman, Emilio M, Setten, Mariano G, Lovazzano, Pablo, Alvarez, Javier, Villar, Veronica, Milstein, Cesar, Pozo, Norberto C, Grubissich, Nicolas, Plotnikow, Gustavo A, Vasquez, Daniela N, Ilutovich, Santiago, Tiribelli, Norberto, Chena, Ariel, Pellegrini, Carlos A, Saenz, María G, Estenssoro, Elisa, Brizuela, Matias, Gianinetto, Hernan, Gomez, Pablo E, Cerrato, Valeria I, Bezzi, Marco G, Borello, Silvina A, Loiacono, Flavia A, Fernandez, Adriana M, Knowles, Serena, Reynolds, Claire, Inskip, Deborah M, Miller, Jennene J, Kong, Jing, Whitehead, Christina, Bihari, Shailesh, Seven, Aylin, Krstevski, Amanda, Rodgers, Helen J, Millar, Rebecca T, Mckenna, Toni E, Bailey, Irene M, Hanlon, Gabrielle C, Aneman, Anders, Lynch, Joan M, Azad, Raman, Neal, John, Woods, Paul W, Roberts, Brigit L, Kol, Mark R, Wong, Helen S, Riss, Katharina C, Staudinger, Thomas, Wittebole, Xavier, Berghe, Caroline, Bulpa, Pierre A, Dive, Alain M, Verstraete, Rik, Lebbinck, Herve, Depuydt, Pieter, Vermassen, Joris, Meersseman, Philippe, Ceunen, Helga, Rosa, Jonas I, Beraldo, Daniel O, Ampinelli, Adenilton M R, Nassar Jr, Antonio P, Mataloun, Sergio, Moock, Marcelo, Thompson, Marlus M, Gonçalves, Claudio H, Antônio, Ana Carolina P, Ascoli, Aline, Biondi, Rodrigo S, Fontenele, Danielle C, Nobrega, Danielle, Sales, Vanessa M, Shindhe, Suresh, Ismail, Dk Maizatul Aiman B Pg Hj, Laffey, John, Beloncle, Francois, Davies, Kyle G, Cirone, Rob, Manoharan, Venika, Ismail, Mehvish, Goligher, Ewan C, Jassal, Mandeep, Nishikawa, Erin, Javeed, Areej, Curley, Gerard, Rittayamai, Nuttapol, Parotto, Matteo, Ferguson, Niall D, Mehta, Sangeeta, Knoll, Jenny, Pronovost, Antoine, Canestrini, Sergio, Bruhn, Alejandro R, Garcia, Patricio H, Aliaga, Felipe A, Farías, Pamela A, Yumha, Jacob S, Ortiz, Claudia A, Salas, Javier E, Saez, Alejandro A, Vega, Luis D, Labarca, Eduardo F, Martinez, Felipe T, Carreño, Nicolás G, Lora, Pilar, Liu, Haitao, Liu, Ling, Tang, Rui, Luo, Xiaoming, An, Youzhong, Zhao, Huiying, Gao, Yan, Zhai, Zhe, Ye, Zheng L, Wang, Wei, Li, Wenwen, Li, Qingdong, Zheng, Ruiqiang, Yu, Wenkui, Shen, Juanhong, Li, Xinyu, Yu, Tao, Lu, Weihua, Wu, Ya Q, Huang, Xiao B, He, Zhenyang, Lu, Yuanhua, Han, Hui, Zhang, Fan, Sun, Renhua, Wang, Hua X, Qin, Shu H, Zhu, Bao H, Zhao, Jun, Liu, Jian, Li, Bin, Liu, Jing L, Zhou, Fa C, Li, Qiong J, Zhang, Xing Y, Li-Xin, Zhou, Xin-Hua, Qiang, Jiang, Liangyan, Gao, Yuan N, Zhao, Xian Y, Li, Yuan Y, Li, Xiao L, Wang, Chunting, Yao, Qingchun, Yu, Rongguo, Chen, Kai, Shao, Huanzhang, Qin, Bingyu, Huang, Qing Q, Zhu, Wei H, Hang, Ai Y, Hua, Ma X, Li, Yimin, Xu, Yonghao, Di, Yu D, Ling, Long L, Qin, Tie H, Wang, Shou H, Qin, Junping, Han, Yi, Zhou, Suming, Vargas, Monica P, Silesky Jimenez, Juan I, González Rojas, Manuel A, Solis-Quesada, Jaime E, Ramirez-Alfaro, Christian M, Máca, Jan, Sklienka, Peter, Gjedsted, Jakob, Christiansen, Aage, Villamagua, Boris G, Llano, Miguel, Burtin, Philippe, Buzancais, Gautier, Beuret, Pascal, Pelletier, Nicolas, Mortaza, Satar, Mercat, Alain, Chelly, Jonathan, Jochmans, Sébastien, Terzi, Nicolas, Daubin, Cédric, Carteaux, Guillaume, de Prost, Nicolas, Chiche, Jean-Daniel, Daviaud, Fabrice, Pham, Tai, Fartoukh, Muriel, Barberet, Guillaume, Biehler, Jerome, Dellamonica, Jean, Doyen, Denis, Arnal, Jean-Michel, Briquet, Anais, Hraiech, Sami, Papazian, Laurent, Follin, Arnaud, Roux, Damien, Messika, Jonathan, Kalaitzis, Evangelos, Dangers, Laurence, Combes, Alain, Au, Siu-Ming, Béduneau, Gaetan, Carpentier, Dorothée, Zogheib, Elie H, Dupont, Herve, Ricome, Sylvie, Santoli, Francesco L, Besset, Sebastien L, Michel, Philippe, Gelée, Bruno, Danin, Pierre-Eric, Goubaux, Bernard, Crova, Philippe J, Phan, Nga T, Berkelmans, Frantz, Badie, Julio C, Tapponnier, Romain, Gally, Josette, Khebbeb, Samy, Herbrecht, Jean-Etienne, Schneider, Francis, Declercq, Pierre-Louis M, Rigaud, Jean-Philippe, Duranteau, Jacques, Harrois, Anatole, Chabanne, Russell, Marin, Julien, Bigot, Charlene, Thibault, Sandrine, Ghazi, Mohammed, Boukhazna, Messabi, Ould Zein, Salem, Richecoeur, Jack R, Combaux, Daniele M, Grelon, Fabien, Le Moal, Charlene, Sauvadet, Elise P, Robine, Adrien, Lemiale, Virginie, Reuter, Danielle, Dres, Martin, Demoule, Alexandre, Goldgran-Toledano, Dany, Baboi, Loredana, Guérin, Claude, Lohner, Ralph, Kraßler, Jens, Schäfer, Susanne, Zacharowski, Kai D, Meybohm, Patrick, Reske, Andreas W, Simon, Philipp, Hopf, Hans-Bernd F, Schuetz, Michael, Baltus, Thomas, Papanikolaou, Metaxia N, Papavasilopoulou, Theonymfi G, Zacharas, Giannis A, Ourailogloy, Vasilis, Mouloudi, Eleni K, Massa, Eleni V, Nagy, Eva O, Stamou, Electra E, Kiourtzieva, Ellada V, Oikonomou, Marina A, Avila, Luis E, Cortez, Cesar A, Citalán, Johanna E, Jog, Sameer A, Sable, Safal D, Shah, Bhagyesh, Gurjar, Mohan, Baronia, Arvind K, Memon, Mohammedfaruk, Muthuchellappan, Radhakrishnan, Ramesh, Venkatapura J, Shenoy, Anitha, Unnikrishnan, Ramesh, Dixit, Subhal B, Rhayakar, Rachana V, Ramakrishnan, Nagarajan, Bhardwaj, Vallish K, Mahto, Heera L, Sagar, Sudha V, Palaniswamy, Vijayanand, Ganesan, Deeban, Mohammadreza Hashemian, Seyed, Jamaati, Hamidreza, Heidari, Farshad, Meaney, Edel A, Nichol, Alistair, Knapman, Karl M, O'Croinin, Donall, Dunne, Eimhin S, Breen, Dorothy M, Clarkson, Kevin P, Jaafar, Rola F, Dwyer, Rory, Amir, Fahd, Ajetunmobi, Olaitan O, O'Muircheartaigh, Aogan C, Black, Colin S, Treanor, Nuala, Collins, Daniel V, Altaf, Wahid, Zani, Gianluca, Fusari, Maurizio, Spadaro, Savino, Volta, Carlo A, Graziani, Romano, Brunettini, Barbara, Palmese, Salvatore, Formenti, Paolo, Umbrello, Michele, Lombardo, Andrea, Pecci, Elisabetta, Botteri, Marco, Savioli, Monica, Protti, Alessandro, Mattei, Alessia, Schiavoni, Lorenzo, Tinnirello, Andrea, Todeschini, Manuel, Giarratano, Antonino, Cortegiani, Andrea, Sher, Sara, Rossi, Anna, Antonelli, Massimo M, Montini, Luca M, Casalena, Paolo, Scafetti, Sergio, Panarello, Giovanna, Occhipinti, Giovanna, Patroniti, Nicolò, Pozzi, Matteo, Biscione, Roberto R, Poli, Michela M, Raimondi, Ferdinando, Albiero, Daniela, Crapelli, Giulia, Beck, Eduardo, Pota, Vincenzo, Schiavone, Vincenzo, Molin, Alexandre, Tarantino, Fabio, Monti, Giacomo, Frati, Elena, Mirabella, Lucia, Cinnella, Gilda, Fossali, Tommaso, Colombo, Riccardo, Terragni, Pierpaolo, Pattarino, Ilaria, Mojoli, Francesco, Braschi, Antonio, Borotto, Erika E, Cracchiolo, Andrea N, Palma, Daniela M, Raponi, Francesco, Foti, Giuseppe, Vascotto, Ettore R, Coppadoro, Andrea, Brazzi, Luca, Floris, Leda, Iotti, Giorgio A, Venti, Aaron, Yamaguchi, Osamu, Takagi, Shunsuke, Maeyama, Hiroki N, Watanabe, Eizo, Yamaji, Yoshihiro, Shimizu, Kazuyoshi, Shiozaki, Kyoko, Futami, Satoru, Ryosuke, Sekine, Saito, Koji, Kameyama, Yoshinobu, Ueno, Keiko, Izawa, Masayo, Okuda, Nao, Suzuki, Hiroyuki, Harasawa, Tomofumi, Nasu, Michitaka, Takada, Tadaaki, Ito, Fumihito, Nunomiya, Shin, Koyama, Kansuke, Abe, Toshikazu, Andoh, Kohkichi, Kusumoto, Kohei, Hirata, Akira, Takaba, Akihiro, Kimura, Hiroyasu, Matsumoto, Shuhei, Higashijima, Ushio, Honda, Hiroyuki, Aoki, Nobumasa, Imai, Hiroshi, Ogino, Yasuaki, Mizuguchi, Ichiko, Ichikado, Kazuya, Nitta, Kenichi, Mochizuki, Katsunori, Hashida, Tomoaki, Tanaka, Hiroyuki, Nakamura, Tomoyuki, Niimi, Daisuke, Ueda, Takeshi, Kashiwa, Yozo, Uchiyama, Akinori, Sabelnikovs, Olegs, Oss, Peteris, Haddad, Youssef, Liew, Kong Y, Ñamendys-Silva, Silvio A, Jarquin-Badiola, Yves D, Sanchez-Hurtado, Luis A, Gomez-Flores, Saira S, Marin, Maria C, Villagomez, Asisclo J, Lemus, Jordana S, Fierro, Jonathan M, Cervantes, Mavy Ramirez, Mejia, Francisco Javier Flores, Gonzalez, Daniel R, Dector, Dulce M, Estrella, Claudia R, Sanchez-Medina, Jorge R, Ramirez-Gutierrez, Alvaro, George, Fernando G, Aguirre, Janet S, Buensuseso, Juan A, Poblano, Manuel, Dendane, Tarek, Balkhi, Hicham, Elkhayari, Mina, Samkaoui, Nacer, Ezzouine, Hanane, Benslama, Abdellatif, Amor, Mourad, Maazouzi, Wajdi, Cimic, Nedim, Beck, Oliver, Bruns, Monique M, Schouten, Jeroen A, Rinia, Myra, Raaijmakers, Monique, Van Wezel, Hellen M, Heines, Serge J, Buise, Marc P, Simonis, Fabienne D, Schultz, Marcus J, Goodson, Jennifer C, rowne, Troy S B, Navarra, Leanlove, Hunt, Anna, Hutchison, Robyn A, Bailey, Mathew B, Newby, Lynette, Mcarthur, Colin, Kalkoff, Michael, Mcleod, Alex, Casement, Jonathan, Hacking, Danielle J, Andersen, Finn H, Dolva, Merete S, Laake, Jon H, Barratt-Due, Andreas, Noremark, Kim Andre L, Søreide, Eldar, Sjøbø, Brit Å, Guttormsen, Anne B, Yoshido, Hector H Leon, Aguilar, Ronald Zumaran, Oscanoa, Fredy A Montes, Alisasis, Alain U, Robles, Joanne B, Pasanting-Lim, Rossini Abbie B, Tan, Beatriz C, Andruszkiewicz, Pawel, Jakubowska, Karina, Cox, Cristina M, Alvarez, António M, Oliveira, Bruno S, Montanha, Gustavo M, Barros, Nelson C, Pereira, Carlos S, Messias, António M, Monteiro, Jorge M, Araujo, Ana M, Catorze, Nuno T, Marum, Susan M, Bouw, Maria J, Gomes, Rui M, Brito, Vania A, Castro, Silvia, Estilita, Joana M, Barros, Filipa M, Serra, Isabel M, Martinho, Aurelia M, Tomescu, Dana R, Marcu, Alexandra, Bedreag, Ovidiu H, Papurica, Marius, Corneci, Dan E, Negoita, Silvius Ioan, Grigoriev, Evgeny, Gritsan, Alexey I, Gazenkampf, Andrey A, Almekhlafi, Ghaleb, Albarrak, Mohamad M, Mustafa, Ghanem M, Maghrabi, Khalid A, Salahuddin, Nawal, Aisa, Tharwat M, Al Jabbary, Ahmed S, Tabhan, Edgardo, Arabi, Yaseen M, Trinidad, Olivia A, Al Dorzi, Hasan M, Tabhan, Edgardo E, Bolon, Stefan, Smith, Oliver, Mancebo, Jordi, Aguirre-Bermeo, Hernan, Lopez-Delgado, Juan C, Esteve, Francisco, Rialp, Gemma, Forteza, Catalina, De Haro, Candelaria, Artigas, Antonio, Albaiceta, Guillermo M, De Cima-Iglesias, Sara, Seoane-Quiroga, Leticia, Ceniceros-Barros, Alexandra, Ruiz-Aguilar, Antonio L, Claraco-Vega, Luis M, Soler, Juan Alfonso, Lorente, Maria del Carmen, Hermosa, Cecilia, Gordo, Federico, Prieto-González, Miryam, López-Messa, Juan B, Perez, Manuel P, Pere, Cesar P, Allue, Raquel Montoiro, Roche-Campo, Ferran, Ibañez-Santacruz, Marcos, Temprano, Susana, Pintado, Maria C, De Pablo, Raul, Gómez, Pilar Ricart Aroa, Ruiz, Silvia Rodriguez, Moles, Silvia Iglesias, Jurado, Mª Teresa, Arizmendi, Alfons, Piacentini, Enrique A, Franco, Nieves, Honrubia, Teresa, Perez Cheng, Meisy, Perez Losada, Elena, Blanco, Javier, Yuste, Luis J, Carbayo-Gorriz, Cecilia, Cazorla-Barranquero, Francisca G, Alonso, Javier G, Alda, Rosa S, Algaba, Ángela, Navarro, Gonzalo, Cereijo, Enrique, Diaz-Rodriguez, Esther, Marcos, Diego Pastor, Montero, Laura Alvarez, Para, Luis Herrera, Sanchez, Roberto Jimenez, Blasco Navalpotro, Miguel Angel, Abad, Ricardo Diaz, Montiel González, Raquel, Toribio, Dácil Parrilla, Castro, Alejandro G, Artiga, Maria Jose D, Penuelas, Oscar, Roser, Tomas P, Olga, Moreno F, Curto, Elena Gallego, Sánchez, Rocío Manzano, Imma, Vallverdu P, Elisabet, Garcia M, Claverias, Laura, Magret, Monica, Pellicer, Ana M, Rodriguez, Lucia L, Sánchez-Ballesteros, Jesús, González-Salamanca, Ángela, Jimenez, Antonio G, Huerta, Francisco P, Diaz, Juan Carlos J Sotillo, Lopez, Esther Bermejo, Moya, David D Llinares, Alfonso, Alec A Tallet, Eugenio Luis, Palazon Sanchez, Cesar, Palazon Sanchez, Rafael, Sánchez I, Virgilio, Corcoles G, Recio, Noelia N, Adamsson, Richard O, Rylander, Christian C, Holzgraefe, Bernhard, Broman, Lars M, Wessbergh, Joanna, Persson, Linnea, Schiöler, Fredrik, Kedelv, Hans, Tibblin, Anna Oscarsson, Appelberg, Henrik, Hedlund, Lars, Helleberg, Johan, Eriksson, Karin E, Glietsch, Rita, Larsson, Niklas, Nygren, Ingela, Nunes, Silvia L, Morin, Anna-Karin, Kander, Thomas, Adolfsson, Anne, Zender, Hervé O, Leemann-Refondini, Corinne, Elatrous, Souheil, Bouchoucha, Slaheddine, Chouchene, Imed, Ouanes, Islem, Ben Souissi, Asma, Kamoun, Salma, Demirkiran, Oktay, Aker, Mustafa, Erbabacan, Emre, Ceylan, Ilkay, Girgin, Nermin Kelebek, Ozcelik, Menekse, Ünal, Necmettin, Meco, Basak Ceyda, Akyol, Onat O, Derman, Suleyman S, Kennedy, Barry, Parhar, Ken, Srinivasa, Latha, McAuley, Danny, Steinberg, Jack, Hopkins, Phil, Mellis, Clare, Stansil, Frank, Kakar, Vivek, Hadfield, Dan, Brown, Christine, Vercueil, Andre, Bhowmick, Kaushik, Humphreys, Sally K, Ferguson, Andrew, Mckee, Raymond, Raj, Ashok S, Fawkes, Danielle A, Watt, Philip, Twohey, Linda, Thomas, Rajeev R Jha Matthew, Morton, Alex, Kadaba, Varsha, Smith, Mark J, Hormis, Anil P, Kannan, Santhana G, Namih, Miriam, Reschreiter, Henrik, Camsooksai, Julie, Kumar, Alek, Rugonfalvi, Szabolcs, Nutt, Christopher, Oneill, Orla, Seasman, Colette, Dempsey, Ged, Scott, Christopher J, Ellis, Helen E, Mckechnie, Stuart, Hutton, Paula J, Di Tomasso, Nora N, Vitale, Michela N, Griffin, Ruth O, Dean, Michael N, Cranshaw, Julius H, Willett, Emma L, Ioannou, Nicholas, Gillis, Sarah, Csabi, Peter, Macfadyen, Rosaleen, Dawson, Heidi, Preez, Pieter D, Williams, Alexandra J, Boyd, Owen, De Gordoa, Laura Ortiz-Ruiz, Bramall, Jon, Symmonds, Sophie, Chau, Simon K, Wenham, Tim, Szakmany, Tamas, Toth-Tarsoly, Piroska, Mccalman, Katie H, Alexander, Peter, Stephenson, Lorraine, Collyer, Thomas, Chapman, Rhiannon, Cooper, Raphael, Allan, Russell M, Sim, Malcolm, Wrathall, David W, Irvine, Donald A, Zantua, Kim S, Adams, John C, Burtenshaw, Andrew J, Sellors, Gareth P, Welters, Ingeborg D, Williams, Karen E, Hessell, Robert J, Oldroyd, Matthew G, Battle, Ceri E, Pillai, Suresh, Kajtor, Istvan, Sivashanmugave, Mageswaran, Okane, Sinead C, Donnelly, Adrian, Frigyik, Aniko D, Careless, Jon P, May, Martin M, Stewart, Richard, Trinder, T John, Hagan, Samantha J, Wise, Matt P, Cole, Jade M, MacFie, Caroline C, Dowling, Anna T, Nin, Nicolás, Nuñez, Edgardo, Pittini, Gustavo, Rodriguez, Ruben, Imperio, María C, Santos, Cristina, França, Ana G, Ebeid, Alejandro, Deicas, Alberto, Serra, Carolina, Uppalapati, Aditya, Kamel, Ghassan, Banner-Goodspeed, Valerie M, Beitler, Jeremy R, Mukkera, Satyanarayana Reddy, Kulkarni, Shreedhar, Lee, Jarone, Mesar, Tomaz, Shinn Iii, John O, Gomaa, Dina, Tainter, Christopher, Cowley, R Adams, Yeatts, Dale J, Warren, Jessica, Lanspa, Michael J, Miller, Russel R, Grissom, Colin K, Brown, Samuel M, Bauer, Philippe R, Gosselin, Ryan J, Kitch, Barrett T, Cohen, Jason E, Beegle, Scott H, Gueret, Renaud M, Tulaimat, Aiman, Choudry, Shazia, Stigler, William, Batra, Hitesh, Huff, Nidhi G, Lamb, Keith D, Oetting, Trevor W, Mohr, Nicholas M, Judy, Claine, Saito, Shigeki, Kheir, Fayez M, Schlichting, Adam B, Delsing, Angela, Elmasri, Mary, Crouch, Daniel R, Ismail, Dina, Blakeman, Thomas C, Dreyer, Kyle R, Baron, Rebecca M, Grijalba, Carolina Quintana, Hou, Peter C, Seethala, Raghu, Aisiku, Imo, Henderson, Galen, Frendl, Gyorgy, Hou, Sen-Kuang, Owens, Robert L, Schomer, Ashley, Bumbasirevic, Vesna, Jovanovic, Bojan, Surbatovic, Maja, Veljovic, Milic, Rodgers, Helen, Dixon, Barry, Smith, Roger, Kol, Mark, Wong, Helen, Schmid, Werner, Hermans, Greet, Bourgeois, Marc, Anquez, Nathalie, Decruyenaere, Johan, DeCrop, Luc, Neto, Ary Serpa, Souza dos Santos, Rafaella, Beraldo, Daniel, dos Santos, Moreno Calcagnotto, Pellegrini, Jose Augusto Santos, Oliveira, Vanessa, Munhoz, Carlos, Peçanha, Ana Carolina, da Silva Ramos, Fernando José, Maia, Israel, Bahl, Marina, Biondi, Rodrigo, Prado, Daniel, Pinto, Sérgio Felix, Salgado, Jean, Falcão, Luis Fernando, Macruz, Tiago, Ruas, Kessia, Mecatti, Giovana Colozza, Caser, Eliane Bernadete, Gava, Isabela Ambrósio, Carreño, Nicolás, Morales, Mauricio, Avendaño, Rossana, Aguirre, Stefania, Sribar, Andrej, Klaric, Vlasta, Skilijic, Sonja, Dvorscak, Matea Bogdanovic, Krkusek, Marijana, Jurjevic, Matija, Karanovic, Nenad, Simurina, Tatjana, Stourac, Petr, Kratochvil, Milan, Schlegel, Christian, Treschan, Tanja A, Schaefer, Maximilian, Aytulun, Akut, Kienbaum, Peter, Jaafar, Rola, Collins, Daniel, Plant, Robert, Melchionda, Giuseppe, Di Lauro, Eduardo, Russotto, Vincenzo, Caione, Raffaele, Mestria, Donatella, Volta, Carlo Alberto, Seghelini, Elisa, Sales, Gabriele, D'Antini, Davide, Severgnini, Paolo, Bacuzzi, Alessandro, Peluso, Lorenzo, Verrastro, Pasquale, Raimondo, Pasquale, Gecaj-Gashi, Agreta, Tuinman, Pieter Roel, Alberts, Erna, van den Hul, Ingrid, Kuiper, Michael, de Wilde, Robert BP, Koopmans, Matty, Kose, Isil, Zincircioglu, Çiler, Dogan, Nazim, Aydin, Demet, Denker, Ahmet Sukru, Buyukkocak, Unase, Akgun, Nur, Turan, Güldem, Senturk, Evren, Demirtürk, Zerrin, Özcan, Perihan Ergin, Ekinci, Osman, Saylan, Sedat, Eren, Gulay, Ulger, Fatma, Dilek, Ahmet, Ulusoy, Hulya, Goktas, Ugur, Soyoral, Lokman, Toman, Huseyin, Orak, Yavuz, Kahveci, Feda, Mills, Gary H, Pinder, Angela, Walker, Rachel, Harrison, Jonathan, Snell, Jane, Pearson, Rachel, Sharman, Michael, Kaloo, Claire, Bynorth, Natalie, Matthews, Kelly, Hughes, Chloe, Rose, Alastair, Simeson, Karen, Niska, Lotta, Huneke, Nathan, Adderly, Jane, Padilla-Harris, Cheryl, Oliver, Rebecca, Brohi, Farooq, Wilson, Natalie, Talbot, Helen, Wilson, Deborah, Smith, Deborah, Dark, Paulo, Evans, Tracey, Fisher, Nicola, Montgomery, Jane, Fitzell, Pauline, Muench, Christoph, Hugill, Keith, Cirstea, Emanuel, Bentley, Andrew, Lynch, Katie, White, Ian, Cooper, Jonathan, Brazier, Melinda, Devile, Michael, Parris, Michael, Gill, Pardeep, Patel, Tasmin, Criswell, John, Trodd, Dawn, Griffin, Denise, Martin, Jane, Wreybrown, Caroline, Bewley, Jeremy, Sweet, Katie, Grimmer, Lisa, Kozlowski, Marta, James, Shanaz, Limb, James, Cowton, Amanda, Rogerson, David, Downes, Charlotte, Melbourne, Susan, Humphries, Ryan, Pulletz, Mark, Moreton, Sarah, Janes, Stephanie, Corner, Andrew, Linnett, Vanessa, Ritzema, Jenny, Watters, Malcolm, Windebank, Steve, Chenna, Shailaja, Howard-Griffin, Richard, Turner, Kate, Suresh, Sheeba, Blaylock, Heather, Bell, Stephanie, Blenk, Karl, Everett, Lynn, Hadfield, Daniel, Harris, Clair, Chan, Alexandre, Birch, Sian, Pegg, Claire, Plowright, Catherine, Cooper, Lucy, Hatton, Tom, McCullagh, Iain, Wright, Stephen, Scott, Carmen, Boyd, Christine, Holliday, Mark, Poultney, Una, Crowther, Hannah, Thornthwaite, Sarah, Hollister, Nigel, Hunt, Jane, Skinner, Amanda, Matsa, Ramprasad, Salt, Ruth, Matthews, Claire, Venner, Nicola, Barcraft-Barnes, Helena, Tbaily, Lee, Pogson, David, Mouland, Johanna, Rose, Steve, Lamb, Nicola, Tarmey, Nicholas, Knighton, John, Giles, Julian, Weller, Debbie, Reed, Isabelle, Hormis, Anil, Pearson, Sallyane, Harris, Meredith, Howe, Joanne, Paddle, Jonathan, Burt, Karen, Welters, Ingeborg, Walker, Anna, Youds, Laura, Hendry, Sam, Shaw, David, Williams, Karen, Hollands, Robin, Carnahan, Mandy, Stickley, Johanna, Miller, Claire, Donaldson, Denise, Tonks, Louise, Creagh-Brown, Ben, Hull, Daniel, Ortiz-Ruiz, Laura, Gopal, Shammer, Metherell, Stella, Spencer, Hazel, Frey, Christian, Brown, Carly, Clifford, Gayle, Leaver, Susannah, Ryan, Christine, Mellinghoff, Johannes Mellinghoff, Prudden, Sarah Prudden, Green, Helen Green, Roy, Alistair Roy, Furneval, Julie Furneval, Bell, Adam Bell, Lakhani, Sandeep Lakhani, Fasting, Lousie Fasting, Murray, Lorna Murray, Preller, Kobus, McInerney, Amy, Beavis, Sarah, Whileman, Amanda, Toms, Julie, Glenn, Sue, Ramali, Mohamed, Ghosh, Alison, Bullock, Clare, Barrell, Lisa, Young, Eoin, Robertson, Helen, Faulkner, Maria, MacNaughton, Peter, Tyson, Susan, Pulak, Paul, Sewell, Terri-Ann, Smalley, Christopher, Jacob, Reni, Alzugaray, Pedro, Vidal Melo, Marcos F, Joyce, Kristen, Needleman, Joseph, Ahsan, Areef, Faiz, Abul, Alam, AKM Shamsul, Khatoon, Syeda Nafisa, Nath, Ranjan Kumer, Rahman Chowdhury, Mohammed Abdur, Banik, Debabrata, Mondol, Montosh Kumar, Bhuiyan, Sakibur Rahman, Nazneed, Suraiya, Sultana, Rozina, Hamid, Tarikul, Hossain, Mozaffer, Reza, Syed Tariq, Asaduzzaman, Muhammad, Salim, Mohammad, Mostafa Kamal, Abu Hena, Taher, Sheikh Mohammed, Taohid, Taohidul Majid, Karmaker, Pranab, Roy, Sabyasachi, Das, Shantanu, Sarkar, Sohel Ahmed, Dutta, Monju Lal, Roy, Poulomi, Iyer, Shivakumar, Krishna, Bhuvana, Sampath, Sriram, Pattnaik, Rajyabardhan, Kasi, Chinni Krishna, Shah, Jignesh, Dongre, Anand, Reza Hashemian, Seyed Mohammad, Nooraei, Navid, Raessi Estabragh, Reza, Malekmohammad, Majid, Khoundabi, Batoul, Mobasher, Maziar, Mohd Yunos, Nor'azim, Kassim, Mahazir, Voon, Chern Min, Das, Stanis Sutharsa, Azauddin, Siti Nur Suhaila, Dorasamy, Dharshinie, Tai, Li Ling, Mat Nor, Mohd Basri, Zarudin, Nurhafizah, Hasan, Mohd Shahnaz, Jamaluddin, Mohamad Fadhil Hadi, Othman Jailani, Mohamad Irfan, Kayashta, Gyan, Adhikari, Aaradhana, Pangeni, Raju, Hashmi, Madiha, Joseph, Sonia, Akhtar, Aftab, Qadeer, Aayesha, Memon, Iqbal, Ali, Syed Muneeb, Idrees, Farah, Kamal, Saima, Hanif, Sadaf, Rehman, Atta Ur, Taqi, Arshad, Hussain, Tanveer, Farooq, Ahmed, Khaskheli, Saleh, Hayat, Muhammad, Indraratna, Kanishka, Beane, Abigail, Haniffa, Rashan, Samaranayake, Upeka, Mathanalagan, Sathiyamoorthy, Gunaratne, Asoka, Mithraratne, Nimangee, Thilakasiri, Kaushila, Pilimatalawwe, Chamila, Dilhani, Y A Hasitha, Fernando, Marie, Ranatunge, Kumudini, Samarasinghe, Loranthi, Vaas, Manori, Edirisooriya, Manoj, Sigera, Chathurani, Arumoli, Janaki, De Silva, Kesharie, Kudavidanage, Bimal, Pinto, Visanthi, Dissanayake, Lakshman, Chittawatanarat, Kaweesak, Kongpolprom, Napplika, Silachamroon, Udomsak, Pornsuriyasak, Prapaporn, Petnak, Tananchai, Singhatas, Pongsasit, Tangsujaritvijit, Viratch, Rungruanghiranya, Suthat, Piriyapatsom, Annop, Juntaping, Kanokkarn, Trongtrakul, Konlawij, Thungtitigul, Poungrat, Tajarernmuang, Pattraporn, Chatmongkolchart, Sunisa, Bhurayanontachai, Rungsun, Akaraborworn, Osaree, Navasakulpong, Asma, Surasit, Karjbundid, Thwaites, Louise, Nadjm, Behzad, Vu Quoc, Dat, Nguyen Thi Thanh, Ha, Nguyen Van, Kinh, Duong Bich, Thuy, Lam Minh, Yen, Pisani, Luigi, Algera, Anna Geke, Azevedo, Luciano, Paulus, Frederique, de Abreu, Marcelo Gama, Pelosi, Paolo, Dondorp, Arjen M, and Laffey, John G

Published
2022
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12. Sepsis Patient Outcome Prediction Using Machine Learning

Author

de Alencar Saraiva, José Lucas, Júnior, Marcus Henrique Victor, Júnior, Otávio Monteiro Becker, Kadirkamanathan, Visakan, Silva, Eliezer, Kienitz, Karl Heinz, Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Costa-Felix, Rodrigo, editor, Machado, João Carlos, editor, and Alvarenga, André Victor, editor

Published
2019
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13. Comparison of three transfusion protocols prior to central venous catheterization in patients with cirrhosis: A randomized controlled trial

Author

Rocha, Leonardo L., Neto, Ary S., Pessoa, Camila M.S., Almeida, Márcio D., Juffermans, Nicole P., Crochemore, Tomaz, Rodrigues, Roseny R., Filho, Roberto R., de Freitas Chaves, Renato Carneiro, Cavalheiro, Ana M., Prado, Rogério R., Assunção, Murillo S.C., Guardia, Bianca D., Silva, Eliézer, and Corrêa, Thiago D.

Published
2020
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17. DIDÁTICA DO ENSINO SUPERIOR: um olhar sob as demandas do século XXI

Author

BARROS, BETIJANE SOARES DE, primary, Silva, Eduardo Cabral da, additional, Araújo, Suzana Peixoto de, additional, Lemos, Lucimairy Silva, additional, Silva, Francyne Pedrosa da, additional, Silva, Eliane Reis Neves da, additional, Barboza, Flávia Ferreira, additional, Meneses, Luci Souza de, additional, Santos, Marcelo Henrique, additional, Tenório, Júlia Cláudia, additional, Ferreira, Divanise Maria de Souza, additional, Pinheiro, Ivaci Bonfim, additional, Vitorino, Wilza Alexandra de Carvalho Rodrigues, additional, Albuquerque, Celsa dos Santos, additional, MENEZES, JOSE SILVA DE, additional, Tenório, Dilson Cavalcante, additional, Ribeiro, Nadson, additional, Paz, Maria Edleuza da, additional, Rocha, Rubiana de Omena Gusmão Moreno da, additional, Silva, Eliezer José da, additional, Lima, Sônia Maria da Silva, additional, Silva, Joselito Araújo, additional, Barros, Léa Karla Carvalho Palmeira, additional, Jacinto, Luciano Canuto, additional, Toledo, Maria José Costa, additional, Ribeiro, Maria José Soares, additional, Canelo, Sônia Lopes Sampaio, additional, and Sampaio, Ana Cristina Lopes, additional

Published
2020
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18. Content-Based Social Recommendation with Poisson Matrix Factorization

Author

da Silva, Eliezer de Souza, Langseth, Helge, Ramampiaro, Heri, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ceci, Michelangelo, editor, Hollmén, Jaakko, editor, Todorovski, Ljupčo, editor, Vens, Celine, editor, and Džeroski, Sašo, editor

Published
2017
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26. Interleukin-4 activates divergent cell-intrinsic signals to regulate retinal cell proliferation induced by classical growth factors

Author

da Silva, Gustavo Mataruna, primary, de Figueiredo, Camila Saggioro, additional, da Rocha Oliveira, Amanda Cândida, additional, Raony, Ícaro, additional, de Araújo Miranda, Raphael Amorim, additional, de Mello Silva, Eliezer, additional, Guilarducci, Carla Valéria Vieira, additional, dos Santos, Aline Araujo, additional, and Giestal-de-Araujo, Elizabeth, additional

Published
2022
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27. Um sambaqui, várias perspectivas: discussões entre ações antrópicas e processos costeiros no Sítio Saco da Pedra, Marechal Deodoro, Alagoas – Brasil

Author

Silva, Eliezer Botelho da, Klökler, Daniela Magalhães, and Camargo, Paulo Fernando Bava de

Subjects
Sambaquis, Etnoarqueologia, ARQUEOLOGIA::ARQUEOLOGIA HISTORICA [CIENCIAS HUMANAS], Sítios arqueológicos, Geologia arqueológica, Arqueologia
Abstract

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES The Saco da Pedra archaeological site in the municipality of Marechal Deodoro (southern Alagoas) is characterized as da shell site (sambaqui) with dates varying between the pre-colonial and colonial period, suggesting a process of reoccupation in the area (SUGUIO et al, 2003; BAVA DE CAMARGO et al., 2020). In recent years, the site's surroundings have undergone (and are undergoing) profound changes in its geomorphology, impacting the site directly in its horizontais distribution with erosive processes.Understanding these coastal impacts, mapping their distributions and intensities, in addition to monitoring, are essential for the future of the Saco da Pedra site in the coming years, and finally, it is possible to propose measures to increase the preservation and conservation of this site and other sites coasters in such conditions. To achieve these objectives, a range of maps, images and area photographs were carried out, which, when compiled, were able to show the beginning of these coastal impacts at different scales (temporal and intensities) on the Saco da Pedra site, in addition to enabling the realization of a projection of the future of the site for the coming years. O sítio arqueológico Saco da Pedra no município de Marechal Deodoro (sul alagoano) é caracterizado como um sítio conchífero (sambaqui) com datações variando entre o período pré-colonial e colonial, sugerindo um processo de reocupação na área (SUGUIO et al, 2003; BAVA DE CAMARGO et al., 2020). Nos últimos anos, o entorno do sítio passou (e vem passando) por profundas modificações em sua geomorfologia, impactando o sítio diretamente em sua distribuição horizontal com processos erosivos e ações antrópicas recentes. Compreender esses impactos costeiros, mapear suas distribuições e intensidades, além de fazer um monitoramento, são fundamentais para o futuro do sítio Saco da Pedra nos próximos anos, sendo por fim, possível propor medidas que aumentem a preservação e conservação desse sítio e de outros sítios costeiros em tais condições. Para alcançar esses objetivos supracitados, foi realizado um gama de mapas, imagens e fotogrametrias áreas, que, compiladas, foram capazes de evidenciar o início desses impactos costeiros em diversas escalas (temporais e de intensidades) sobre o sítio Saco da Pedra, além de possibilitar a realização de uma projeção do futuro do sítio pelos próximos anos. Laranjeiras

Published
2022

29. Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies

Author

Pisani, Luigi, Algera, Anna Geke, Neto, Ary Serpa, Azevedo, Luciano, Pham, Tài, Paulus, Frederique, de Abreu, Marcelo Gama, Pelosi, Paolo, Dondorp, Arjen M, Bellani, Giacomo, Laffey, John G, Schultz, Marcus J, Martinez, Amadeu, Leal, Livia, Jorge Pereira, Antonio, de Oliveira Maia, Marcelo, Neto, Josè Aires, Piras, Claudio, Caser, Eliana Bernadete, Moreira, Cora Lavigne, Braga Gusman, Pablo, Dalcomune, Dyanne Moysés, Ribeiro de Carvalho, Alexandre Guilherme, Gondim, Louise Aline Romão, Castelo Branco Reis, Lívia Mariane, da Cunha Ribeiro, Daniel, de Assis Simões, Leonardo, Campos, Rafaela Siqueira, Fernandez Versiani dos Anjos, José Carlos, Bruzzi Carvalho, Frederico, Alves, Rossine Ambrosio, Nunes, Lilian Batista, Réa-Neto, Álvaro, de Oliveira, Mirella Cristine, Tannous, Luana, Cardoso Gomes, Brenno, Rodriguez, Fernando Borges, Abelha, Priscila, Lugarinho, Marcelo E, Japiassu, Andre, de Melo, Hélder Konrad, Lopes, Elton Afonso, Varaschin, Pedro, de Souza Dantas, Vicente Cés, Freitas Knibel, Marcos, Ponte, Micheli, de Azambuja Rodrigues, Pedro Mendes, Costa Filho, Rubens Carmo, Saddy, Felipe, Wanderley Castellões, Théia Forny, Silva, Suzana Alves, Osorio, Luiz Antonio Gomes, Mannarino, Dora, Espinoza, Rodolfo, Righy, Cassia, Soares, Marcio, Salluh, Jorge, Tanaka, Lilian, Aragão, Daniel, Tavares, Maria Eduarda, Kehdi, Maura Goncalves Pereira, Rezende, Valéria Maria Campos, Carbonell, Roberto Carlos Cruz, Teixeira, Cassiano, de Oliveira, Roselaine Pinheiro, Maccari, Juçara Gasparetto, Castro, Priscylla Souza, Berto, Paula, Schwarz, Patricia, Torelly, André Peretti, Lisboa, Thiago, Moraes, Edison, Dal-Pizzol, Felipe, Tomasi Damiani, Cristiane, Ritter, Cristiane, Ferreira, Juliana Carvalho, Teixeira Costa, Ramon, Caruso, Pedro, Amendola, Cristina Prata, de Oliveira, Amanda Maria R R, Silva, Ulysses V A, Sanches, Luciana Coelho, Almeida, Rosana D S, Azevedo, Luciano Cesar, Park, Marcelo, Schettino, Guilherme, Assunção, Murillo Santucci, Silva, Eliezer, Barboza, Carlos Eduardo, Junior, Antonio Paulo Nassar, Marzocchi Tierno, Paulo Fernando G M, Malbouisson, Luis Marcelo, Oliveira, Lucas, Cristovao, Davi, Neto, Manoel Leitão, Rego, Ênio, Fernandes, Fernanda Eugênia, Romano, Marcelo Luz Pereira, Cavalcanti, Alexandre Biasi, de Souza Barros, Dalton, Suzumura, Érica Aranha, Meira, Karla Loureiro, de Oliveira, Gustavo Affonso, Luciano, Paula Menezes, Pacheco, Evelin Drociunas, Mazza, Bruno Franco, Machado, Flavia Ribeiro, Ferreira, Elaine, dos Santos, Ronaldo Batista, Colombo, Alexandra Siqueira, Nogueira, Antonio Carlos, Fernandes, Juliana Baroni, Nóbrega, Raquel Siqueira, do CS Martins, Barbara, Soriano, Francisco, Morsch, Rafaela Deczka, Nunes, Andre Luiz Baptiston, de Almeida, Juliano Pinheiro, Hajjar, Ludhmila, Moulin, Sílvia, Giannini, Fábio Poianas, Baptiston Nunes, Andre Luiz, Rios, Fernando, Van Haren, Frank, Sottiaux, T, Lora, Fredy S, Azevedo, Luciano C, Depuydt, P, Fan, Eddy, Bugedo, Guillermo, Qiu, Haibo, Gonzalez, Marcos, Silesky, Juan, 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Perihan Ergin, Ekinci, Osman, Saylan, Sedat, Eren, Gulay, Ulger, Fatma, Dilek, Ahmet, Ulusoy, Hulya, Goktas, Ugur, Soyoral, Lokman, Toman, Huseyin, Orak, Yavuz, Kahveci, Feda, Mills, Gary H, Pinder, Angela, Walker, Rachel, Harrison, Jonathan, Snell, Jane, Pearson, Rachel, Sharman, Michael, Kaloo, Claire, Bynorth, Natalie, Matthews, Kelly, Hughes, Chloe, Rose, Alastair, Simeson, Karen, Niska, Lotta, Huneke, Nathan, Adderly, Jane, Padilla-Harris, Cheryl, Oliver, Rebecca, Brohi, Farooq, Wilson, Natalie, Talbot, Helen, Wilson, Deborah, Smith, Deborah, Dark, Paulo, Evans, Tracey, Fisher, Nicola, Montgomery, Jane, Fitzell, Pauline, Muench, Christoph, Hugill, Keith, Cirstea, Emanuel, Bentley, Andrew, Lynch, Katie, White, Ian, Cooper, Jonathan, Brazier, Melinda, Devile, Michael, Parris, Michael, Gill, Pardeep, Patel, Tasmin, Criswell, John, Trodd, Dawn, Griffin, Denise, Martin, Jane, Wreybrown, Caroline, Bewley, Jeremy, Sweet, Katie, Grimmer, Lisa, Kozlowski, Marta, James, Shanaz, Limb, James, Cowton, Amanda, Rogerson, David, Downes, Charlotte, Melbourne, Susan, Humphries, Ryan, Pulletz, Mark, Moreton, Sarah, Janes, Stephanie, Corner, Andrew, Linnett, Vanessa, Ritzema, Jenny, Watters, Malcolm, Windebank, Steve, Chenna, Shailaja, Howard-Griffin, Richard, Turner, Kate, Suresh, Sheeba, Blaylock, Heather, Bell, Stephanie, Blenk, Karl, Everett, Lynn, Hadfield, Daniel, Harris, Clair, Chan, Alexandre, Birch, Sian, Pegg, Claire, Plowright, Catherine, Cooper, Lucy, Hatton, Tom, McCullagh, Iain, Wright, Stephen, Scott, Carmen, Boyd, Christine, Holliday, Mark, Poultney, Una, Crowther, Hannah, Thornthwaite, Sarah, Hollister, Nigel, Hunt, Jane, Skinner, Amanda, Matsa, Ramprasad, Salt, Ruth, Matthews, Claire, Venner, Nicola, Barcraft-Barnes, Helena, Tbaily, Lee, Pogson, David, Mouland, Johanna, Rose, Steve, Lamb, Nicola, Tarmey, Nicholas, Knighton, John, Giles, Julian, Weller, Debbie, Reed, Isabelle, Hormis, Anil, Pearson, Sallyane, Harris, Meredith, Howe, Joanne, Paddle, Jonathan, Burt, 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Seoane-Quiroga, Leticia, Ceniceros-Barros, Alexandra, Ruiz-Aguilar, Antonio L, Claraco-Vega, Luis M, Soler, Juan Alfonso, Lorente, Maria del Carmen, Hermosa, Cecilia, Gordo, Federico, Prieto-González, Miryam, López-Messa, Juan B, Perez, Manuel P, Pere, Cesar P, Allue, Raquel Montoiro, Roche-Campo, Ferran, Ibañez-Santacruz, Marco, Temprano, Susana, Pintado, Maria C, De Pablo, Raul, Gómez, Pilar Ricart Aroa, Ruiz, Silvia Rodriguez, Moles, Silvia Iglesia, Jurado, Mª Teresa, Arizmendi, Alfon, Piacentini, Enrique A, Franco, Nieve, Honrubia, Teresa, Perez Cheng, Meisy, Perez Losada, Elena, Blanco, Javier, Yuste, Luis J, Carbayo-Gorriz, Cecilia, Cazorla-Barranquero, Francisca G, Alonso, Javier G, Alda, Rosa S, Algaba, Ángela, Navarro, Gonzalo, Cereijo, Enrique, Diaz-Rodriguez, Esther, Marcos, Diego Pastor, Montero, Laura Alvarez, Para, Luis Herrera, Sanchez, Roberto Jimenez, Blasco Navalpotro, Miguel Angel, Abad, Ricardo Diaz, Montiel González, Raquel, Toribio, Dácil Parrilla, Castro, Alejandro G, Artiga, Maria Jose D, Penuelas, Oscar, Roser, Tomas P, Olga, Moreno F, Curto, Elena Gallego, Sánchez, Rocío Manzano, Imma, Vallverdu P, Elisabet, Garcia M, Claverias, Laura, Magret, Monica, Pellicer, Ana M, Rodriguez, Lucia L, Sánchez-Ballesteros, Jesú, González-Salamanca, Ángela, Jimenez, Antonio G, Huerta, Francisco P, Diaz, Juan Carlos J Sotillo, Lopez, Esther Bermejo, Moya, David D Llinare, Alfonso, Alec A Tallet, Eugenio Luis, Palazon Sanchez, Cesar, Palazon Sanchez, Rafael, Sánchez I, Virgilio, Corcoles G, Recio, Noelia N, Adamsson, Richard O, Rylander, Christian C, Holzgraefe, Bernhard, Broman, Lars M, Wessbergh, Joanna, Persson, Linnea, Schiöler, Fredrik, Kedelv, Han, Tibblin, Anna Oscarsson, Appelberg, Henrik, Hedlund, Lar, Helleberg, Johan, Eriksson, Karin E, Glietsch, Rita, Larsson, Nikla, Nygren, Ingela, Nunes, Silvia L, Morin, Anna-Karin, Kander, Thoma, Adolfsson, Anne, Zender, Hervé O, Leemann-Refondini, Corinne, Elatrous, Souheil, Bouchoucha, Slaheddine, Chouchene, Imed, Ouanes, Islem, Ben Souissi, Asma, Kamoun, Salma, Demirkiran, Oktay, Aker, Mustafa, Erbabacan, Emre, Ceylan, Ilkay, Girgin, Nermin Kelebek, Ozcelik, Menekse, Ünal, Necmettin, Meco, Basak Ceyda, Akyol, Onat O, Derman, Suleyman S, Kennedy, Barry, Parhar, Ken, Srinivasa, Latha, McAuley, Danny, Steinberg, Jack, Hopkins, Phil, Mellis, Clare, Stansil, Frank, Kakar, Vivek, Hadfield, Dan, Brown, Christine, Vercueil, Andre, Bhowmick, Kaushik, Humphreys, Sally K, Ferguson, Andrew, Mckee, Raymond, Raj, Ashok S, Fawkes, Danielle A, Watt, Philip, Twohey, Linda, Thomas, Rajeev R Jha Matthew, Morton, Alex, Kadaba, Varsha, Smith, Mark J, Hormis, Anil P, Kannan, Santhana G, Namih, Miriam, Reschreiter, Henrik, Camsooksai, Julie, Kumar, Alek, Rugonfalvi, Szabolc, Nutt, Christopher, Oneill, Orla, Seasman, Colette, Dempsey, Ged, Scott, Christopher J, Ellis, Helen E, Mckechnie, Stuart, Hutton, Paula J, Di Tomasso, Nora N, Vitale, Michela N, Griffin, Ruth O, Dean, Michael N, Cranshaw, Julius H, Willett, Emma L, Ioannou, Nichola, Gillis, Sarah, Csabi, Peter, Macfadyen, Rosaleen, Dawson, Heidi, Preez, Pieter D, Williams, Alexandra J, Boyd, Owen, De Gordoa, Laura Ortiz-Ruiz, Bramall, Jon, Symmonds, Sophie, Chau, Simon K, Wenham, Tim, Szakmany, Tama, Toth-Tarsoly, Piroska, Mccalman, Katie H, Alexander, Peter, Stephenson, Lorraine, Collyer, Thoma, Chapman, Rhiannon, Cooper, Raphael, Allan, Russell M, Sim, Malcolm, Wrathall, David W, Irvine, Donald A, Zantua, Kim S, Adams, John C, Burtenshaw, Andrew J, Sellors, Gareth P, Welters, Ingeborg D, Williams, Karen E, Hessell, Robert J, Oldroyd, Matthew G, Battle, Ceri E, Pillai, Suresh, Kajtor, Istvan, Sivashanmugave, Mageswaran, Okane, Sinead C, Donnelly, Adrian, Frigyik, Aniko D, Careless, Jon P, May, Martin M, Stewart, Richard, Trinder, T John, Hagan, Samantha J, Wise, Matt P, Cole, Jade M, MacFie, Caroline C, Dowling, Anna T, Nin, Nicolá, Nuñez, Edgardo, Pittini, Gustavo, Rodriguez, Ruben, Imperio, María C, Santos, Cristina, França, Ana G, Ebeid, Alejandro, Deicas, Alberto, Serra, Carolina, Uppalapati, Aditya, Kamel, Ghassan, Banner-Goodspeed, Valerie M, Beitler, Jeremy R, Mukkera, Satyanarayana Reddy, Kulkarni, Shreedhar, Lee, Jarone, Mesar, Tomaz, Shinn Iii, John O, Gomaa, Dina, Tainter, Christopher, Cowley, R Adam, Yeatts, Dale J, Warren, Jessica, Lanspa, Michael J, Miller, Russel R, Grissom, Colin K, Brown, Samuel M, Bauer, Philippe R, Gosselin, Ryan J, Kitch, Barrett T, Cohen, Jason E, Beegle, Scott H, Gueret, Renaud M, Tulaimat, Aiman, Choudry, Shazia, Stigler, William, Batra, Hitesh, Huff, Nidhi G, Lamb, Keith D, Oetting, Trevor W, Mohr, Nicholas M, Judy, Claine, Saito, Shigeki, Kheir, Fayez M, Schlichting, Adam B, Delsing, Angela, Elmasri, Mary, Crouch, Daniel R, Ismail, Dina, Blakeman, Thomas C, Dreyer, Kyle R, Baron, Rebecca M, Grijalba, Carolina Quintana, Hou, Peter C, Seethala, Raghu, Aisiku, Imo, Henderson, Galen, Frendl, Gyorgy, Hou, Sen-Kuang, Owens, Robert L, Schomer, Ashley, Bumbasirevic, Vesna, Jovanovic, Bojan, Surbatovic, Maja, Veljovic, Milic, Rodgers, Helen, Dixon, Barry, Smith, Roger, Kol, Mark, Wong, Helen, Schmid, Werner, Hermans, Greet, Bourgeois, Marc, Anquez, Nathalie, Decruyenaere, Johan, DeCrop, Luc, Souza dos Santos, Rafaella, Beraldo, Daniel, dos Santos, Moreno Calcagnotto, Pellegrini, Jose Augusto Santo, Oliveira, Vanessa, Munhoz, Carlo, Peçanha, Ana Carolina, da Silva Ramos, Fernando José, Maia, Israel, Bahl, Marina, Biondi, Rodrigo, Prado, Daniel, Pinto, Sérgio Felix, Salgado, Jean, Falcão, Luis Fernando, Macruz, Tiago, Ruas, Kessia, Mecatti, Giovana Colozza, Caser, Eliane Bernadete, Gava, Isabela Ambrósio, Carreño, Nicolá, Morales, Mauricio, Avendaño, Rossana, Aguirre, Stefania, Sribar, Andrej, Klaric, Vlasta, Skilijic, Sonja, Dvorscak, Matea Bogdanovic, Krkusek, Marijana, Jurjevic, Matija, Karanovic, Nenad, Simurina, Tatjana, Stourac, Petr, Kratochvil, Milan, Schlegel, Christian, Treschan, Tanja A, Schaefer, Maximilian, Aytulun, Akut, Kienbaum, Peter, Jaafar, Rola, Collins, Daniel, Plant, Robert, Melchionda, Giuseppe, Di Lauro, Eduardo, Russotto, Vincenzo, Caione, Raffaele, Mestria, Donatella, Volta, Carlo Alberto, Seghelini, Elisa, Sales, Gabriele, D'Antini, Davide, Severgnini, Paolo, Bacuzzi, Alessandro, Peluso, Lorenzo, Verrastro, Pasquale, Raimondo, Pasquale, Gecaj-Gashi, Agreta, Tuinman, Pieter Roel, Alberts, Erna, van den Hul, Ingrid, Kuiper, Michael, de Wilde, Robert BP, Koopmans, Matty, Kose, Isil, Zincircioglu, Çiler, Dogan, Nazim, Aydin, Demet, Denker, Ahmet Sukru, Buyukkocak, Unase, Akgun, Nur, Turan, Güldem, Senturk, Evren, Demirtürk, Zerrin, Özcan, Perihan Ergin, Ekinci, Osman, Saylan, Sedat, Eren, Gulay, Ulger, Fatma, Dilek, Ahmet, Ulusoy, Hulya, Goktas, Ugur, Soyoral, Lokman, Toman, Huseyin, Orak, Yavuz, Kahveci, Feda, Mills, Gary H, Pinder, Angela, Walker, Rachel, Harrison, Jonathan, Snell, Jane, Pearson, Rachel, Sharman, Michael, Kaloo, Claire, Bynorth, Natalie, Matthews, Kelly, Hughes, Chloe, Rose, Alastair, Simeson, Karen, Niska, Lotta, Huneke, Nathan, Adderly, Jane, Padilla-Harris, Cheryl, Oliver, Rebecca, Brohi, Farooq, Wilson, Natalie, Talbot, Helen, Wilson, Deborah, Smith, Deborah, Dark, Paulo, Evans, Tracey, Fisher, Nicola, Montgomery, Jane, Fitzell, Pauline, Muench, Christoph, Hugill, Keith, Cirstea, Emanuel, Bentley, Andrew, Lynch, Katie, White, Ian, Cooper, Jonathan, Brazier, Melinda, Devile, Michael, Parris, Michael, Gill, Pardeep, Patel, Tasmin, Criswell, John, Trodd, Dawn, Griffin, Denise, Martin, Jane, Wreybrown, Caroline, Bewley, Jeremy, Sweet, Katie, Grimmer, Lisa, Kozlowski, Marta, James, Shanaz, Limb, Jame, Cowton, Amanda, Rogerson, David, Downes, Charlotte, Melbourne, Susan, Humphries, Ryan, Pulletz, Mark, Moreton, Sarah, Janes, Stephanie, Corner, Andrew, Linnett, Vanessa, Ritzema, Jenny, Watters, Malcolm, Windebank, Steve, Chenna, Shailaja, Howard-Griffin, Richard, Turner, Kate, Suresh, Sheeba, Blaylock, Heather, Bell, Stephanie, Blenk, Karl, Everett, Lynn, Hadfield, Daniel, Harris, Clair, Chan, Alexandre, Birch, Sian, Pegg, Claire, Plowright, Catherine, Cooper, Lucy, Hatton, Tom, McCullagh, Iain, Wright, Stephen, Scott, Carmen, Boyd, Christine, Holliday, Mark, Poultney, Una, Crowther, Hannah, Thornthwaite, Sarah, Hollister, Nigel, Hunt, Jane, Skinner, Amanda, Matsa, Ramprasad, Salt, Ruth, Matthews, Claire, Venner, Nicola, Barcraft-Barnes, Helena, Tbaily, Lee, Pogson, David, Mouland, Johanna, Rose, Steve, Lamb, Nicola, Tarmey, Nichola, Knighton, John, Giles, Julian, Weller, Debbie, Reed, Isabelle, Hormis, Anil, Pearson, Sallyane, Harris, Meredith, Howe, Joanne, Paddle, Jonathan, Burt, Karen, Welters, Ingeborg, Walker, Anna, Youds, Laura, Hendry, Sam, Shaw, David, Williams, Karen, Hollands, Robin, Carnahan, Mandy, Stickley, Johanna, Miller, Claire, Donaldson, Denise, Tonks, Louise, Creagh-Brown, Ben, Hull, Daniel, Ortiz-Ruiz, Laura, Gopal, Shammer, Metherell, Stella, Spencer, Hazel, Frey, Christian, Brown, Carly, Clifford, Gayle, Leaver, Susannah, Ryan, Christine, Mellinghoff, Johannes Mellinghoff, Prudden, Sarah Prudden, Green, Helen Green, Roy, Alistair Roy, Furneval, Julie Furneval, Bell, Adam Bell, Lakhani, Sandeep Lakhani, Fasting, Lousie Fasting, Murray, Lorna Murray, Preller, Kobu, McInerney, Amy, Beavis, Sarah, Whileman, Amanda, Toms, Julie, Glenn, Sue, Ramali, Mohamed, Ghosh, Alison, Bullock, Clare, Barrell, Lisa, Young, Eoin, Robertson, Helen, Faulkner, Maria, MacNaughton, Peter, Tyson, Susan, Pulak, Paul, Sewell, Terri-Ann, Smalley, Christopher, Jacob, Reni, Alzugaray, Pedro, Vidal Melo, Marcos F, Joyce, Kristen, Needleman, Joseph, Ahsan, Areef, Faiz, Abul, Alam, AKM Shamsul, Khatoon, Syeda Nafisa, Nath, Ranjan Kumer, Rahman Chowdhury, Mohammed Abdur, Banik, Debabrata, Mondol, Montosh Kumar, Bhuiyan, Sakibur Rahman, Nazneed, Suraiya, Sultana, Rozina, Hamid, Tarikul, Hossain, Mozaffer, Reza, Syed Tariq, Asaduzzaman, Muhammad, Salim, Mohammad, Mostafa Kamal, Abu Hena, Taher, Sheikh Mohammed, Taohid, Taohidul Majid, Karmaker, Pranab, Roy, Sabyasachi, Das, Shantanu, Sarkar, Sohel Ahmed, Dutta, Monju Lal, Roy, Poulomi, Iyer, Shivakumar, Krishna, Bhuvana, Sampath, Sriram, Pattnaik, Rajyabardhan, Kasi, Chinni Krishna, Shah, Jignesh, Dongre, Anand, Reza Hashemian, Seyed Mohammad, Nooraei, Navid, Raessi Estabragh, Reza, Malekmohammad, Majid, Khoundabi, Batoul, Mobasher, Maziar, Mohd Yunos, Nor'azim, Kassim, Mahazir, Voon, Chern Min, Das, Stanis Sutharsa, Azauddin, Siti Nur Suhaila, Dorasamy, Dharshinie, Tai, Li Ling, Mat Nor, Mohd Basri, Zarudin, Nurhafizah, Hasan, Mohd Shahnaz, Jamaluddin, Mohamad Fadhil Hadi, Othman Jailani, Mohamad Irfan, Kayashta, Gyan, Adhikari, Aaradhana, Pangeni, Raju, Hashmi, Madiha, Joseph, Sonia, Akhtar, Aftab, Qadeer, Aayesha, Memon, Iqbal, Ali, Syed Muneeb, Idrees, Farah, Kamal, Saima, Hanif, Sadaf, Rehman, Atta Ur, Taqi, Arshad, Hussain, Tanveer, Farooq, Ahmed, Khaskheli, Saleh, Hayat, Muhammad, Indraratna, Kanishka, Beane, Abigail, Haniffa, Rashan, Samaranayake, Upeka, Mathanalagan, Sathiyamoorthy, Gunaratne, Asoka, Mithraratne, Nimangee, Thilakasiri, Kaushila, Pilimatalawwe, Chamila, Dilhani, Y A Hasitha, Fernando, Marie, Ranatunge, Kumudini, Samarasinghe, Loranthi, Vaas, Manori, Edirisooriya, Manoj, Sigera, Chathurani, Arumoli, Janaki, De Silva, Kesharie, Kudavidanage, Bimal, Pinto, Visanthi, Dissanayake, Lakshman, Chittawatanarat, Kaweesak, Kongpolprom, Napplika, Silachamroon, Udomsak, Pornsuriyasak, Prapaporn, Petnak, Tananchai, Singhatas, Pongsasit, Tangsujaritvijit, Viratch, Rungruanghiranya, Suthat, Piriyapatsom, Annop, Juntaping, Kanokkarn, Trongtrakul, Konlawij, Thungtitigul, Poungrat, Tajarernmuang, Pattraporn, Chatmongkolchart, Sunisa, Bhurayanontachai, Rungsun, Akaraborworn, Osaree, Navasakulpong, Asma, Surasit, Karjbundid, Thwaites, Louise, Nadjm, Behzad, Vu Quoc, Dat, Nguyen Thi Thanh, Ha, Nguyen Van, Kinh, Duong Bich, Thuy, Lam Minh, Yen, Anesthesiology, Intensive care medicine, ACS - Pulmonary hypertension & thrombosis, ACS - Diabetes & metabolism, Graduate School, Intensive Care Medicine, AII - Inflammatory diseases, Nursing, and ACS - Microcirculation

Subjects
Male, Sociodemographic Factors, Respiration, Artificial/methods, ARDS, mechanical ventilation, Severity of Illness Index, NO, Settore MED/41 - ANESTESIOLOGIA, 80 and over, Tidal Volume, Humans, Hospital Mortality, Prospective Studies, ddc:610, Developing Countries, Aged, Hospital Mortality/trends, Aged, 80 and over, Developed Countries/statistics & numerical data, Developing Countries/statistics & numerical data, Respiration, Developed Countries, Articles, General Medicine, acute respiratory distress syndrome, Length of Stay, Middle Aged, Respiration, Artificial, Intensive Care Units, Observational Studies as Topic, lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4], Length of Stay/statistics & numerical data, Artificial, Intensive Care Units/statistics & numerical data, Income, Female
Abstract

Contains fulltext : 252214.pdf (Publisher’s version ) (Open Access) BACKGROUND: Geoeconomic variations in epidemiology, the practice of ventilation, and outcome in invasively ventilated intensive care unit (ICU) patients without acute respiratory distress syndrome (ARDS) remain unexplored. In this analysis we aim to address these gaps using individual patient data of four large observational studies. METHODS: In this pooled analysis we harmonised individual patient data from the ERICC, LUNG SAFE, PRoVENT, and PRoVENT-iMiC prospective observational studies, which were conducted from June, 2011, to December, 2018, in 534 ICUs in 54 countries. We used the 2016 World Bank classification to define two geoeconomic regions: middle-income countries (MICs) and high-income countries (HICs). ARDS was defined according to the Berlin criteria. Descriptive statistics were used to compare patients in MICs versus HICs. The primary outcome was the use of low tidal volume ventilation (LTVV) for the first 3 days of mechanical ventilation. Secondary outcomes were key ventilation parameters (tidal volume size, positive end-expiratory pressure, fraction of inspired oxygen, peak pressure, plateau pressure, driving pressure, and respiratory rate), patient characteristics, the risk for and actual development of acute respiratory distress syndrome after the first day of ventilation, duration of ventilation, ICU length of stay, and ICU mortality. FINDINGS: Of the 7608 patients included in the original studies, this analysis included 3852 patients without ARDS, of whom 2345 were from MICs and 1507 were from HICs. Patients in MICs were younger, shorter and with a slightly lower body-mass index, more often had diabetes and active cancer, but less often chronic obstructive pulmonary disease and heart failure than patients from HICs. Sequential organ failure assessment scores were similar in MICs and HICs. Use of LTVV in MICs and HICs was comparable (42·4% vs 44·2%; absolute difference -1·69 [-9·58 to 6·11] p=0·67; data available in 3174 [82%] of 3852 patients). The median applied positive end expiratory pressure was lower in MICs than in HICs (5 [IQR 5-8] vs 6 [5-8] cm H(2)O; p=0·0011). ICU mortality was higher in MICs than in HICs (30·5% vs 19·9%; p=0·0004; adjusted effect 16·41% [95% CI 9·52-23·52]; p

Published
2022

32. Quality Improvement Initiatives in Sepsis in an Emerging Country: Does the Institution’s Main Source of Income Influence the Results? An Analysis of 21,103 Patients*

Author

Machado, Flavia R., Ferreira, Elaine M., Sousa, Juliana Lubarino, Silva, Carla, Schippers, Pierre, Pereira, Adriano, Cardoso, Ilusca M., Salomão, Reinaldo, Japiassu, Andre, Akamine, Nelson, Mazza, Bruno F., Assunção, Murillo S. C., Fernandes, Haggeas S., Bossa, Aline, Monteiro, Mariana B., Caixeita, Noemi, Azevedo, Luciano C. P., and Silva, Eliezer

Published
2017
Full Text
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36. Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching.

Author

de Souza da Silva, Eliezer, Kuśmierczyk, Tomasz, Hartmann, Marcelo, and Klami, Arto

Subjects
*MATRIX decomposition, *MACHINE learning, *STOCHASTIC models
Abstract

The behavior of many Bayesian models used in machine learning critically depends on the choice of prior distributions, controlled by some hyperparameters typically selected through Bayesian optimization or cross-validation. This requires repeated, costly, posterior inference. We provide an alternative for selecting good priors without carrying out posterior inference, building on the prior predictive distribution that marginalizes the model parameters. We estimate virtual statistics for data generated by the prior predictive distribution and then optimize over the hyperparameters to learn those for which the virtual statistics match the target values provided by the user or estimated from (a subset of) the observed data. We apply the principle for probabilistic matrix factorization, for which good solutions for prior selection have been missing. We show that for Poisson factorization models we can analytically determine the hyperparameters, including the number of factors, that best replicate the target statistics, and we empirically study the sensitivity of the approach for the model mismatch. We also present a model-independent procedure that determines the hyperparameters for general models by stochastic optimization and demonstrate this extension in the context of hierarchical matrix factorization models. [ABSTRACT FROM AUTHOR]

Published
2023

37. Currículo e identidad profesional: la formación del archivero en Brasil (1911-1977)

Author

Carvalho Betancourt, Beatriz, Pires da Silva, Eliezer, and Ribeiro Gomes, Priscila

Abstract

This paper aims to reflect on the formation of archivists in Brazil as a contribution to the demarcation of their professional identity. Supported by curriculum theories, it intends to collaborate with current curricular debates. It investigates the creation of courses between the years 1910 and 1970 and concludes that the study of their origins shows the relationship between social context and curriculum, demarcating the archivists' professional identity. Keywords: archivists; curriculum; professional identity; formation. El objetivo de ese artículo es reflexionar sobre la formación del archivero en Brasil como contribución a la demarcación de su identidad profesional. Subsidiado por teorías curriculares, busca colaborar con los debates curriculares. Investiga cursos entre las décadas de 1910 y 1970. Concluye que el estudio de sus orígenes resalta la relación entre contexto social y el currículum, delimitando la identidad profesional del archivero. Palabras clave: archivero; plan de estudios; identidad profesional; formación. Este artigo objetiva refletir sobre a formação do arquivista no Brasil como contribuição à demarcação da sua identidade profissional. Subsidiado pelas teorias curriculares, visa colaborar com os debates curriculares atuais. Investiga a criação de cursos entre os anos 1910 e 1970 e conclui que o estudo das origens evidencia a relação entre contexto social e currículo, demarcando a identidade profissional do arquivista. Palavras-chave: arquivista; currículo; identidade profissional; formação.

Published
2021

42. Kinects of the crystallization process of La2(WO4)3 by techniques in situ

Author

Silva, Eliezer Costa, https://orcid.org/0000-0002-2710-9853, Nogueira, I??amira Costa, Leite, Edson Roberto, and Botelho, Gleice Lorena Gon??alves Tavares

Subjects
DRX in situ, ENGENHARIAS, Fen??menos cin??ticos, Difratogramas isot??rmicos, Tungstato de lant??nio, La2(WO4)3, Materiais cristalinos, Espectroscopia Raman, Cin??tica de cristaliza????o, Teoria JMAK
Abstract

Submitted by Eliezer Silva (eliezer.siilva@hotmail.com) on 2021-03-06T19:52:37Z No. of bitstreams: 5 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Disserta????o Eliezer.pdf: 5321831 bytes, checksum: 84b86ca09c7970e750eaedeea5a5ed3a (MD5) Ata de Defesa de Disserta????o - Eliezer-Assinada.pdf: 267622 bytes, checksum: 9c4de5caaf46c64af6255cf1348b1dbe (MD5) Carta Encaminhamento disserta????o - Eliezer.pdf: 157769 bytes, checksum: 782ae98a4487dd4dc13befc4d8fbbf25 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE - Eliezer.pdf: 230923 bytes, checksum: 801a455b0cd8f63687542b96b94589cc (MD5) Approved for entry into archive by PPGCEM Ci??ncia e Engenharia de Materiais (ppgcem@ufam.edu.br) on 2021-03-10T17:57:22Z (GMT) No. of bitstreams: 5 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Disserta????o Eliezer.pdf: 5321831 bytes, checksum: 84b86ca09c7970e750eaedeea5a5ed3a (MD5) Ata de Defesa de Disserta????o - Eliezer-Assinada.pdf: 267622 bytes, checksum: 9c4de5caaf46c64af6255cf1348b1dbe (MD5) Carta Encaminhamento disserta????o - Eliezer.pdf: 157769 bytes, checksum: 782ae98a4487dd4dc13befc4d8fbbf25 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE - Eliezer.pdf: 230923 bytes, checksum: 801a455b0cd8f63687542b96b94589cc (MD5) Approved for entry into archive by Divis??o de Documenta????o/BC Biblioteca Central (ddbc@ufam.edu.br) on 2021-03-10T21:24:06Z (GMT) No. of bitstreams: 5 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Disserta????o Eliezer.pdf: 5321831 bytes, checksum: 84b86ca09c7970e750eaedeea5a5ed3a (MD5) Ata de Defesa de Disserta????o - Eliezer-Assinada.pdf: 267622 bytes, checksum: 9c4de5caaf46c64af6255cf1348b1dbe (MD5) Carta Encaminhamento disserta????o - Eliezer.pdf: 157769 bytes, checksum: 782ae98a4487dd4dc13befc4d8fbbf25 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE - Eliezer.pdf: 230923 bytes, checksum: 801a455b0cd8f63687542b96b94589cc (MD5) Made available in DSpace on 2021-03-10T21:24:06Z (GMT). No. of bitstreams: 5 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Disserta????o Eliezer.pdf: 5321831 bytes, checksum: 84b86ca09c7970e750eaedeea5a5ed3a (MD5) Ata de Defesa de Disserta????o - Eliezer-Assinada.pdf: 267622 bytes, checksum: 9c4de5caaf46c64af6255cf1348b1dbe (MD5) Carta Encaminhamento disserta????o - Eliezer.pdf: 157769 bytes, checksum: 782ae98a4487dd4dc13befc4d8fbbf25 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE - Eliezer.pdf: 230923 bytes, checksum: 801a455b0cd8f63687542b96b94589cc (MD5) Previous issue date: 2021-02-24 Understanding the kinetic phenomena involved in the crystallization process is essential in the acquisition of crystalline materials with controlled properties, sizes and shapes. This study comprises the kinetics of the crystallization process of lanthanum tungstate nanoparticles La2(WO4)3 induced by in situ heating in X-Ray Diffraction (XRD). The amorphous La2(WO4)3 nanoparticles were prepared by the basic method of direct exclusion. As a characteristic of the synthesis method, clusters of nanoparticles with an average size of 20 nm were observed. The thermal behavior of the amorphous nanoparticles indicated an exothermic peak referring to the phase transformation (crystallization) at 590 ??C. The thermal agreements carried out at 550 and 600 ??C for 2 hours showed that at 550 ??C for 2 hours as non-ordering nanoparticles at long range, as expected by thermal analysis. The sample translated at 600 ??C for 2 hours presented diffraction peaks referring to the crystalline phase of La2(WO4)3, and the refinement by the Rietveld method confirmed that the system is monophasic, with monoclinic structure, C2/c spatial group. Heat treatments carried out up to 900 ??C to the monoclinic phase of La2(WO4)3 are stable. The micrographs of the nanoparticles treated at 600 ??C for 2 hours clusters of nanoparticles with an average shape and size equal to that of the amorphous phase. The vibrational aspects by Raman spectroscopy active vibrational modes referring to WO4 tetrahedron geometry and external modes. The logarithmic curves of the crystallized fractions as a function of the time of the isothermal diffractograms obtain at 570, 575, 580 and 585 ??C exhibited two linear regions, which through the equation of the JMAK theory students values of the exponent of Avrami equal to 1,72 and 0,52, showing two main mechanisms in the crystallization kinetics of La2(WO4)3 nanoparticles, nucleation and diffusion. The activation energy of linear regions 1 and 2 were 270,91 and 100,15 KJ/mol, respectively, demonstrating the need for high configurations to start the crystallization process of crystalline La2(WO4)3 nanoparticles. The size evolution average of the crystallites as a function of the experiment time of the lanthanum nanoparticles at 585 ??C exhibited different kinetic behavior in the two linear regions. Compreender os fen??menos cin??ticos envolvidos no processo de cristaliza????o ?? imprescind??vel na aquisi????o de materiais cristalinos com propriedades, tamanhos e formas controladas. Este estudo, busca compreender a cin??tica do processo de cristaliza????o de nanopart??culas de tungstato de lant??nio La2(WO4)3 induzida por aquecimento in situ em Difra????o de Raios X (DRX). As nanopart??culas amorfas de La2(WO4)3 foram preparadas pelo m??todo qu??mico de precipita????o direta. Como caracter??stica do m??todo de s??ntese, aglomerados de nanopart??culas com tamanho m??dio de 20 nm foram observados. O comportamento t??rmico das nanopart??culas amorfas indicou um pico exot??rmico referente a transforma????o de fase (cristaliza????o) em 590 ??C. Os tratamentos t??rmicos realizados em 550 e 600 ??C por 2 horas evidenciaram que a 550 ??C por 2 horas as nanopart??culas n??o apresentaram ordenamento a longo alcance, como esperado pela an??lise t??rmica. A amostra tradada na temperatura de 600 ??C por 2 horas apresentou picos de difra????o referente a fase cristalina do La2(WO4)3, e o refinamento pelo m??todo Rietveld confirmou que o sistema ?? monof??sico, com estrutura monocl??nica e grupo espacial C2/c. As micrografias das nanopart??culas tratadas a 600 ??C por 2 horas apresentaram aglomerados de nanopart??culas com formato e tamanho m??dio iguais ao da fase amorfa. Os aspectos vibracionais por espectroscopia Raman mostraram modos vibracionais ativos referentes a geometria tetra??drica WO4 e ?? modos externos. As curvas logar??tmicas das fra????es cristalizadas em fun????o do tempo dos difratogramas isot??rmicos obtidos a 570, 575, 580 e 585 ??C exibiram duas regi??es lineares, que por interm??dio da equa????o da teoria JMAK apresentaram valores do expoente de Avrami iguais a 1,72 e 0,52, evidenciando dois mecanismos principais na cin??tica de cristaliza????o das nanopart??culas de La2(WO4)3, nuclea????o e difus??o. A energia de ativa????o das regi??es lineares 1 e 2 foram 270,91 e 100,15 KJ/mol, respectivamente, demostrando a necessidade de altas temperaturas para in??cio do processo de cristaliza????o das nanopart??culas La2(WO4)3. A evolu????o do tamanho m??dio dos cristalitos em fun????o do tempo de experimento das nanopart??culas de tungstato de lant??nio a 585 ??C exibiu comportamento cin??tico diferente nas duas regi??es lineares.

Published
2021

43. Factorization models with relational and contextual information

Author

da Silva, Eliezer de Souza and Langseth, Helge

Subjects
Technology: 500::Information and communication technology: 550::Computer technology: 551 [VDP]
Abstract

The increasing availability of interconnected multi-modal information sources motivates the development of novel probabilistic models for recommender system that can leverage context present in relational data. Thus, we seek to integrate contextual information that can be relevant for determining the users’ information needs. In this thesis we focus on a set of techniques for modeling contextual information to factorization models, in particular models that uses implicit feedback such as event counts. Furthermore we propose analytical tools for those models, improving our capabilities with regards to find suitable hyparparameters. In order to model counts (for example, number of clicks in a page) as implicit user feedback, we chose to utilize the Poisson factorization as a building block. Then, we develop two Poisson factorization models that include social networks, item textual content and periodic time events as contextual information, incorporated into a joint matrix and tensor factorization model (in Chapters 3 and 4). Additionally, we develop a joint hierarchical recurrent neural networks and a temporal point process model for the problem of multi-session recommendations, where we observe sequences of items grouped into sequences of sessions, and create a model capable of providing itens recommendation and next-session time prediction (Chapter 5). Finally, we utilize and develop an approach based on the prior predictive distribution that allows us to set hyperparameters for Poisson factorization models without the need to fit the model to the data, obtaining both closed-form equations and an optimization algorithm for this task (Chapter 6). One relevant result here is a closed-form equation for the dimensionality of the latent space in Poisson factorization models. In general, we position this work as a contribution to probabilistic modeling in the context of recommender system utilizing multi-relational and count data as a signal for contextual information, with contributions ranging from model design, analysis and hyperparameter selection.

Published
2021

45. Directrices para el uso de las redes sociales por las instituciones archivísticas brasileñas

Author

Baptista Pereira, Diogo and Pires da Silva, Eliezer

Abstract

The research presents guidelines for the use of social networks by Brazilian public archives, characterizing the need for a specific team to create content on social networks, to plan, to assess the performance in relation to the objectives, besides publicizing the indicators achieved with sharing, comments and interactions of the posts of each virtual social network. Keywords: archivistic institution; information mediation; social networks; network theory. La investigación presenta directrices para el uso de las redes sociales por los archivos públicos brasileños, caracterizando la necesidad de un equipo específico para crear contenido en las redes sociales, planificar, evaluar el desempeño en relación con los objetivos y además publicar los indicadores logrados con el intercambio, comentarios e interacciones de las publicaciones de cada red social virtual. A pesquisa apresenta diretrizes para o uso das redes sociais pelos arquivos públicos brasileiros, caracterizando a necessidade de uma equipe específica para criar os conteúdos nas redes sociais, planejar, avaliar o desempenho em relação aos objetivos, além de publicizar os indicadores alcançados com compartilhamentos, comentários e interações das postagens de cada rede social virtual. Palavras-chave: instituição arquivística; mediação da informação; redes sociais; teoria de redes.

Published
2020

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