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2. Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE): a multicentre, prospective, observational cohort study
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Abrough, Fekri, Acharya, Subhash P, Amin, Pravin, Arabi, Yaseen, Aragao, Irene, Bauer, Philippe, Beduneau, Gaëtan, Beitler, Jeremy, Berkius, Johan, Bugedo, Guillermo, Camporota, Luigi, Cerny, Vladimir, Cho, Young-Jae, Clarkson, Kevin, Estenssoro, Elisa, Goligher, Ewan, Grasselli, Giacomo, Gritsan, Alexey, Hashemian, Seyed Mohammadreza, Hermans, Greet, Heunks, Leo M, Jovanovic, Bojan, Kurahashi, Kiyoyasu, Laake, Jon Henrik, Matamis, Dimitrios, Moerer, Onnen, Molnar, Zsolt, Ozyilmaz, Ezgi, Panka, Bernardo, Papali, Alfred, Peñuelas, Óscar, Perbet, Sébastien, Piquilloud, Lise, Qiu, Haibo, Razek, Assem Abdel, Rittayamai, Nuttapol, Roldan, Rollin, Serpa Neto, Ary, Szuldrzynski, Konstanty, Talmor, Daniel, Tomescu, Dana, Van Haren, Frank, Villagomez, Asisclo, Zeggwagh, Amine Ali, Abe, Toshikazu, Aboshady, Abdelrhman, Acampo-de Jong, Melanie, Acharya, Subhash, Adderley, Jane, Adiguzel, Nalan, Agrawal, Vijay Kumar, Aguilar, Gerardo, Aguirre, Gaston, Aguirre-Bermeo, Hernan, Ahlström, Björn, Akbas, Türkay, Akker, Mustafa, Al Sadeh, Ghamdan, Alamri, Sultan, Algaba, Angela, Ali, Muneeb, Aliberti, Anna, Allegue, Jose Manuel, Alvarez, Diana, Amador, Joaquin, Andersen, Finn H, Ansari, Sharique, Apichatbutr, Yutthana, Apostolopoulou, Olympia, Arellano, Daniel, Arica, Mestanza, Arikan, Huseyin, Arinaga, Koichi, Arnal, Jean-Michel, Asano, Kengo, Asín-Corrochano, Marta, Avalos Cabrera, Jesus Milagrito, Avila Fuentes, Silvia, Aydemir, Semih, Aygencel, Gulbin, Azevedo, Luciano, Bacakoglu, Feza, Badie, Julio, Baedorf Kassis, Elias, Bai, Gabriela, Balaraj, Govindan, Ballico, Bruno, Banner-Goodspeed, Valerie, Banwarie, Preveen, Barbieri, Rosella, Baronia, Arvind, Barrett, Jonathan, Barrot, Loïc, Barrueco-Francioni, Jesus Emilio, Barry, Jeffrey, Bawangade, Harshal, Beavis, Sarah, Beck, Eduardo, Beehre, Nina, Belenguer Muncharaz, Alberto, Bellani, Giacomo, Belliato, Mirko, Bellissima, Agrippino, Beltramelli, Rodrigo, Ben Souissi, Asma, Benitez-Cano, Adela, Benlamin, Mohamed, Benslama, Abdellatif, Bento, Luis, Benvenuti, Daniela, Bernabe, Laura, Bersten, Andrew, Berta, Giacomo, Bertini, Pietro, Bertram-Ralph, Elliot, Besbes, Mohamed, Bettini, Lisandro Roberto, Beuret, Pascal, Bewley, Jeremy, Bezzi, Marco, Bhakhtiani, Lakshay, Bhandary, Rakesh, Bhowmick, Kaushik, Bihari, Shailesh, Bissett, Bernie, Blythe, David, Bocher, Simon, Boedjawan, Narain, Bojanowski, Christine M, Boni, Elisa, Boraso, Sabrina, Borelli, Massimo, Borello, Silvina, Borislavova, Margarita, Bosma, Karen J, Bottiroli, Maurizio, Boyd, Owen, Bozbay, Suha, Briva, Arturo, Brochard, Laurent, Bruel, Cédric, Bruni, Andrea, Buehner, Ulrike, Bulpa, Pierre, Burt, Karen, Buscot, Mathieu, Buttera, Stefania, Cabrera, Jorge, Caccese, Roberta, Caironi, Pietro, Canchos Gutierrez, Ivan, Canedo, Nancy, Cani, Alma, Cappellini, Iacopo, Carazo, Jesus, Cardonnet, Luis Pablo, Carpio, David, Carriedo, Demetrio, Carrillo, Ramón, Carvalho, João, Caser, Eliana, Castelli, Antonio, Castillo Quintero, Manuel, Castro, Heloisa, 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Elizabeth, Williams, Erin, Williams, Karen, Wilson, Antoinette, Wojtas, Jadwiga, Won Huh, Jin, Wrathall, David, Wright, Christopher, Wu, Jian-Feng, Xi, Guo, Xing, Zheng-Jiang, Xu, Hongyang, Yamamoto, Kotaro, Yan, Jie, Yáñez, Julio, Yang, Xiaobo, Yates, Elliot, Yazicioglu Mocin, Ozlem, Ye, Zhenglong, Yildirim, Fatma, Yoshida, Norifumi, Yoshido, Hector Higo Leon, Young Lee, Bo, Yu, Rongguo, Yu, Gong, Yu, Tao, Yuan, Boyun, Yuangtrakul, Nadwipa, Yumoto, Tetsuya, Yun, Xie, Zakalik, Graciela, Zaki, Ahmad, Zalba-Etayo, Begoña, Zambon, Massimo, Zang, Bin, Zani, Gianluca, Zarka, Jonathan, Zerbi, Simone Maria, Zerman, Avsar, Zetterquist, Harald, Zhang, Jiuzhi, Zhang, Hongwen, Zhang, Wei, Zhang, Guoxiu, Zhang, Weixin, Zhao, Hongsheng, Zheng, Jia, Zhu, Bin, Zumaran, Ronald, Pham, Tài, Madotto, Fabiana, Goligher, Ewan C, Mancebo, Jordi, Peñuelas, Oscar, Pesenti, Antonio, Wunsch, Hannah, van Haren, Frank, and Laffey, John G
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- 2023
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3. Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE)
- Author
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Pham, Tài, Heunks, Leo, Bellani, Giacomo, Madotto, Fabiana, Aragao, Irene, Beduneau, Gaëtan, Goligher, Ewan C, Grasselli, Giacomo, Laake, Jon Henrik, Mancebo, Jordi, Peñuelas, Oscar, Piquilloud, Lise, Pesenti, Antonio, Wunsch, Hannah, van Haren, Frank, Brochard, Laurent, Laffey, John G, Abrough, Fekri, Acharya, Subhash P, Amin, Pravin, Arabi, Yaseen, Bauer, Philippe, Beitler, Jeremy, Berkius, Johan, Bugedo, Guillermo, Camporota, Luigi, Cerny, Vladimir, Cho, Young-Jae, Clarkson, Kevin, Estenssoro, Elisa, Goligher, Ewan, Gritsan, Alexey, Hashemian, Seyed Mohammadreza, Hermans, Greet, Heunks, Leo M, Jovanovic, Bojan, Kurahashi, Kiyoyasu, Matamis, Dimitrios, Moerer, Onnen, Molnar, Zsolt, Ozyilmaz, Ezgi, Panka, Bernardo, Papali, Alfred, Peñuelas, Óscar, Perbet, Sébastien, Qiu, Haibo, Razek, Assem Abdel, Rittayamai, Nuttapol, Roldan, Rollin, Serpa Neto, Ary, Szuldrzynski, Konstanty, Talmor, Daniel, Tomescu, Dana, Van Haren, Frank, Villagomez, Asisclo, Zeggwagh, Amine Ali, Abe, Toshikazu, Aboshady, Abdelrhman, Acampo-de Jong, Melanie, Acharya, Subhash, Adderley, Jane, Adiguzel, Nalan, Agrawal, Vijay Kumar, Aguilar, Gerardo, Aguirre, Gaston, Aguirre-Bermeo, Hernan, Ahlström, Björn, Akbas, Türkay, Akker, Mustafa, Al Sadeh, Ghamdan, Alamri, Sultan, Algaba, Angela, Ali, Muneeb, Aliberti, Anna, Allegue, Jose Manuel, Alvarez, Diana, Amador, Joaquin, Andersen, Finn H, Ansari, Sharique, Apichatbutr, Yutthana, Apostolopoulou, Olympia, Arellano, Daniel, Arica, Mestanza, Arikan, Huseyin, Arinaga, Koichi, Arnal, Jean-Michel, Asano, Kengo, Asín-Corrochano, Marta, Avalos Cabrera, Jesus Milagrito, Avila Fuentes, Silvia, Aydemir, Semih, Aygencel, Gulbin, Azevedo, Luciano, Bacakoglu, Feza, Badie, Julio, Baedorf Kassis, Elias, Bai, Gabriela, Balaraj, Govindan, Ballico, Bruno, Banner-Goodspeed, Valerie, Banwarie, Preveen, Barbieri, Rosella, Baronia, Arvind, Barrett, Jonathan, Barrot, Loïc, Barrueco-Francioni, Jesus Emilio, Barry, Jeffrey, Bawangade, Harshal, Beavis, Sarah, Beck, Eduardo, Beehre, Nina, Belenguer Muncharaz, Alberto, Belliato, Mirko, Bellissima, Agrippino, Beltramelli, Rodrigo, Ben Souissi, Asma, Benitez-Cano, Adela, Benlamin, Mohamed, Benslama, Abdellatif, Bento, Luis, Benvenuti, Daniela, Bernabe, Laura, Bersten, Andrew, Berta, Giacomo, Bertini, Pietro, Bertram-Ralph, Elliot, Besbes, Mohamed, Bettini, Lisandro Roberto, Beuret, Pascal, Bewley, Jeremy, Bezzi, Marco, Bhakhtiani, Lakshay, Bhandary, Rakesh, Bhowmick, Kaushik, Bihari, Shailesh, Bissett, Bernie, Blythe, David, Bocher, Simon, Boedjawan, Narain, Bojanowski, Christine M, Boni, Elisa, Boraso, Sabrina, Borelli, Massimo, Borello, Silvina, Borislavova, Margarita, Bosma, Karen J, Bottiroli, Maurizio, Boyd, Owen, Bozbay, Suha, Briva, Arturo, Bruel, Cédric, Bruni, Andrea, Buehner, Ulrike, Bulpa, Pierre, Burt, Karen, Buscot, Mathieu, Buttera, Stefania, Cabrera, Jorge, Caccese, Roberta, Caironi, Pietro, Canchos Gutierrez, Ivan, Canedo, Nancy, Cani, Alma, Cappellini, Iacopo, Carazo, Jesus, Cardonnet, Luis 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Iacopo, Carazo, Jesu, Cardonnet, Luis Pablo, Carpio, David, Carriedo, Demetrio, Carrillo, Ramón, Carvalho, João, Caser, Eliana, Castelli, Antonio, Castillo Quintero, Manuel, Castro, Heloisa, Catorze, Nuno, Cengiz, Melike, Cereijo, Enrique, Ceunen, Helga, Chaintoutis, Christo, Chang, Youjin, Chaparro, Gustavogcha, Chapman, Carmel, Chau, Simon, Chavez, Cecilia Eugenia, Chelazzi, Cosimo, Chelly, Jonathan, Chemouni, Frank, Chen, Kai, Chena, Ariel, Chiarandini, Paolo, Chilton, Phil, Chiumello, Davide, Chou-Lie, Yvette, Chudeau, Nicola, Cinel, Ismail, Cinnella, Gilda, Clark, Michele, Clark, Thoma, Clementi, Stefano, Coaguila, Lui, Codecido, Alexis Jaspe, Collins, Amy, Colombo, Riccardo, Conde, Juan, Consales, Guglielmo, Cook, Tim, Coppadoro, Andrea, Cornejo, Rodrigo, Cortegiani, Andrea, Coxo, Cristina, Cracchiolo, Andrea Neville, Crespo Ramirez, Mónica, Crova, Philippe, Cruz, José, Cubattoli, Lucia, Çukurova, Zafer, Curto, Francesco, Czempik, Piotr, D'Andrea, Rocco, da Silva Ramos, Fernando, Dangers, Laurence, Danguy des Déserts, Marc, Danin, Pierre-Eric, Dantas, Fabianne, Daubin, Cédric, Dawei, Wu, de Haro, Candelaria, de Jesus Montelongo, Felipe, De Mendoza, Diego, de Pablo, Raúl, De Pascale, Gennaro, De Rosa, Silvia, Decavèle, Maxen, Declercq, Pierre-Loui, Deicas, Alberto, del Carmen Campos Moreno, María, Dellamonica, Jean, Delmas, Benjamin, Demirkiran, Oktay, Demirkiran, Hilmi, Dendane, Tarek, di Mussi, Rossella, Diakaki, Chrysi, Diaz, Anatilde, Diaz, Willy, Dikmen, Yalim, Dimoula, Aikaterini, Doble, Patricia, Doha, Nagwa, Domingos, Guilherme, Dres, Martin, Dries, David, Duggal, Abhijit, Duke, Graeme, Dunts, Pavel, Dybwik, Knut, Dykyy, Maksym, Eckert, Philippe, Efe, Serdar, Elatrous, Souheil, Elay, Gülseren, Elmaryul, Abubaker S, Elsaadany, Mohamed, Elsayed, Hany, Elsayed, Samar, Emery, Malo, Ena, Sébastien, Eng, Kevin, Englert, Joshua A, Erdogan, Elif, Ergin Ozcan, Perihan, Eroglu, Ege, Escobar, Miguel, Esen, Figen, Esen Tekeli, Arzu, Esquivel, Alejandro, Esquivel 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Meihong, House, Stacy, Housni, Brahim, Hugill, Keith, Humphreys, Sally, Humbert, Loui, Hunter, Stephanie, Hwa Young, Lee, Iezzi, Nicola, Ilutovich, Santiago, Inal, Volkan, Innes, Richard, Ioannides, Panagioti, Iotti, Giorgio Antonio, Ippolito, Mariachiara, Irie, Hiromasa, Iriyama, Hiroki, Itagaki, Taiga, Izura, Javier, Izza, Santiago, Jabeen, Rakhshanda, Jamaati, Hamidreza, Jamadarkhana, Sunil, Jamoussi, Amira, Jankowski, Milosz, Jaramillo, Luis Alberto, Jeon, Kyeongman, Jeong Lee, Seok, Jeswani, Deepak, Jha, Simant, Jiang, Liangyan, Jing, Chen, Jochmans, Sébastien, Johnstad, Bror Ander, Jongmin, Lee, Joret, Aurélie, Junhasavasdikul, Detajin, Jurado, Maria Teresa, Kam, Elisa, Kamohara, Hidenobu, Kane, Caroline, Kara, Iskender, Karakurt, Sait, Karnjanarachata, Cherdkiat, Kataoka, Jun, Katayama, Shinshu, Kaushik, Shuchi, Kelebek Girgin, Nermin, Kerr, Kathryn, Kerslake, Ian, Khairnar, Prakash, Khalid, Abidi, Khan, Akram, Khanna, Ashish K, Khorasanee, Reza, Kienhorst, Dieneke, Kirakli, Cenk, Knafelj, Rihard, Kol, Mark Kol, Kongpolprom, Napplika, Kopitko, Csaba, Korkmaz Ekren, Pervin, Kubisz-Pudelko, Agnieszka, Kulcsar, Zoltan, Kumasawa, Junji, Kuriyama, Akira, Kutchak, Fernanda, Labarca, Eduardo, Labat, Françoise, Laborda, César, Laca Barrera, Manuel Alberto, Lagache, Laurie, Landaverde Lopez, Antonio, Lanspa, Michael, Lascari, Valeria, Le Meur, Matthieu, Lee, Su Hwan, Lee, Young Ju, Lee, Jinwoo, Lee, Won-Yeon, Lee, Jarone, Legernaes, Terje, Leiner, Tamaa, Lemiale, Virginie, Leonor, Tiago, Lepper, Philipp M, Li, Dahuan, Li, Hongbin, Li, Oleg, Lima, Ana Raquel, Lind, Dan, Litton, Edward, Liu, Ning, Liu, Ling, Liu, Jialin, Llitjos, Jean-Françoi, Llorente, Beatriz, Lopez, Rodolfo, Lopez, Claudia Elizabeth, Lopez Nava, Claudia, Lovazzano, Pablo, Lu, Min, Lucchese, Francesca, Lugano, Manuela, Lugo Goytia, Gustavo, Luo, Hua, Lynch, Ceri, Macheda, Sebastiano, Madrigal Robles, Victor Hugo, Maggiore, Salvatore Maurizio, Magret Iglesias, Mònica, Malaga, Peter, Mallapura 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Mouhssine, Doumiri, Mouloudi, Eleni, Muñoz, Tapia, Munoz de Cabo, Carlo, Mustafa, Mohamed, Muthuchellappan, Radhakrishnan, Muthukrishnan, Muraleekrishnan, Muttini, Stefano, Nagata, Isao, Nahar, Dick, Nakanishi, Misuzu, Nakayama, Izumi, Namendys-Silva, Silvio Antonio, Nanchal, Rahul, Nandakumar, Sivakumar, Nasi, Alessandra, Nasir, Kamal, Navalesi, Paolo, Naz Aslam, Tayyba, Nga Phan, Thuy, Nichol, Alistair, Niiyama, Shuhei, Nikolakopoulou, Sofia, Nikolic, Elena, Nitta, Kenichi, Noc, Marko, Nonas, Stephanie, Nseir, Saad, Nur Soyturk, Ayse, Obata, Yukako, Oeckler, Richard, Oguchi, Moe, Ohshimo, Shinichiro, Oikonomou, Marina, Ojados, Agueda, Oliveira, Maria Teresa, Oliveira Filho, Wilson, Oliveri, Carlo, Olmos, Aitor, Omura, Kazuya, Orlandi, Maria Cristina, Orsenigo, Francesca, Ortiz-Ruiz De Gordoa, Laura, Ota, Kei, Ovalle Olmos, Rainier, Öveges, Nándo, Oziemski, Peter, Ozkan Kuscu, Ozlem, Özyilmaz, Ezgi, Pachas Alvarado, Fernando, Pagella, Gonzalo, Palaniswamy, Vijayanand, Palazon Sanchez, Eugenio Lui, Palmese, Salvatore, Pan, Guojun, Pan, Wensen, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Parekh, Ameet, Parke, Rachael, Parrilla, Francisco J, Parrilla, Dácil, Pasha, Taha, Pasin, Laura, Patão, Lui, Patel, Mayur, Patel, Grisma, Pati, Basanta Kumar, Patil, Jayaprakash, Pattnaik, Saroj, Paul, Daniel, Pavesi, Maurizio, Pavlotsky, Vanesa Alejandra, Paz, Graciela, Paz, Enrique, Pecci, Elisabetta, Pellegrini, Carlo, Peña Padilla, Andrea Gabriela, Perchiazzi, Gaetano, Pereira, Tiago, Pereira, Vera, Perez, Manuel, Perez Calvo, Cesar, Perez Cheng, Meisy, Perez Maita, Ronald, Pérez-Araos, Rodrigo, Perez-Teran, Purificación, Perez-Torres, David, Perkins, Gavin, Persona, Paolo, Petnak, Tananchai, Petrova, Marina, Pham, Tai, Philippart, Françoi, Picetti, Edoardo, Pierucci, Elisabetta, Piervincenzi, Edoardo, Pinciroli, Riccardo, Pintado, Maria-Consuelo, Piraino, Thoma, Piras, Stephanie, Piras, Claudio, Pirompanich, Pattarin, Pisani, Luigi, Platas, Enrique, Plotnikow, Gustavo, Porras, Willy, Porta, Virginia, Portilla, Mariana, Portugal, José, Povoa, Pedro, Prat, Gwenael, Pratto, Romina, Preda, Gabriel, Prieto, Isidro, Prol-Silva, Estefania, Pugh, Richard, Qi, Yupeng, Qian, Chuanyun, Qin, Tiehe, Qu, Hongping, Quintana, Teobaldo, Quispe Sierra, Rosari, Quispe Soto, Rocio, Rabbani, Raihan, Rabee, Mohamed, Rabie, Ahmed, Rahe Pereira, Maria Augusta, Rai, Ashish, Raj Ashok, Sundar, Rajab, Mostafa, Ramdhani, Navin, Ramey, Elizabeth, Ranieri, Marco, Rathod, Darshana, Ray, Banambar, Redwanul Huq, Shihan Mahmud, Regli, Adrian, Reina, Rosa, Resano Sarmiento, Natalia, Reynaud, Faustine, Rialp, Gemma, Ricart, Pilar, Rice, Todd, Richardson, Angu, Rieder, Marcelo, Rinket, Martin, Rios, Fernando, Risso Vazquez, Alejandro, Riva, Ivano, Rivette, Monaly, Roca, Oriol, Roche-Campo, Ferran, Rodriguez, Covadonga, Rodriguez, Gabriel, Rodriguez Gonzalez, Daniel, Rodriguez Tucto, Xandra Yanina, Rogers, Angela, Romano, María Elena, Rørtveit, Linda, Rose, Alastair, Roux, Damien, Rouze, Anahita, Rubatto Birri, Paolo Nahuel, Ruilan, Wang, Ruiz Robledo, Aldana, Ruiz-Aguilar, Antonio Lui, Sadahiro, Tomohito, Saez, Ignacio, Sagardia, Judith, Saha, Rajnish, Saha, Rohit, Saiphoklang, Narongkorn, Saito, Shigeki, Salem, Maie, Sales, Gabriele, Salgado, Patricia, Samavedam, Sriniva, Sami Mebazaa, Mhamed, Samuelsson, Line, San Juan Roman, Nandyelly, Sanchez, Patricia, Sanchez-Ballesteros, Jesu, Sandoval, Yazcitk, Sani, Emanuele, Santos, Martin, Santos, Carla, Sanui, Masamitsu, Saravanabavan, Lakshmikanthcharan, Sari, Sema, Sarkany, Agne, Sauneuf, Bertrand, Savioli, Monica, Sazak, Hilal, Scano, Riccardo, Schneider, Franci, Schortgen, Frédérique, Schultz, Marcus J, Schwarz, Gabriele Leonie, Seçkin Yücesoy, Faruk, Seely, Andrew, Seiler, Frederik, Seker Tekdos, Yasemin, Seok Chan, Kim, Serano, Luca, Serednicki, Wojciech, Setten, Mariano, Shah, Asim, Shah, Bhagyesh, Shang, You, Shanmugasundaram, Pradeep, Shapovalov, Konstantin, Shebl, Eman, Shiga, Takuya, Shime, Nobuaki, Shin, Phil, Short, Jack, Shuhua, Chen, Siddiqui, Sughrat, Silesky Jimenez, Juan Ignacio, Silva, Daniel, Silva Sales, Betania, Simons, Koen, Sjøbø, Brit Ågot, Slessor, David, Smiechowicz, Jakub, Smischney, Nathan, Smith, Paul, Smith, Tim, Smith, Mark, Snape, Sarah, Snyman, Lindi, Soetens, Filiep, Sook Hong, Kyung, Sosa Medellin, Miguel Ángel, Soto, Giovanna, Souloy, Xavier, Sousa, Elsa, Sovatzis, Stefania, Sozutek, Didem, Spadaro, Savino, Spagnoli, Marco, Spångfors, Martin, Spittle, Nick, Spivey, Mike, Stapleton, Andrew, Stefanovic, Branislava, Stephenson, Lorraine, Stevenson, Elizabeth, Strand, Kristian, Strano, Maria Teresa, Straus, Slavenka, Sun, Chenliang, Sun, Rongqing, Sundaram, Venkat, SunPark, Tai, Surlemont, Elisabeth, Sutherasan, Yuda, Szabo, Zsuzsanna, Tainter, Christopher, Takaba, Akihiro, Tallott, Mandy, Tamasato, Tamasato, Tang, Zhanhong, Tangsujaritvijit, Viratch, Taniguchi, Leandro, Taniguchi, Daisuke, Tarantino, Fabio, Teerapuncharoen, Krittika, Temprano, Susana, Terragni, 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G., Goligher E. C., Grasselli G., Laake J. H., Mancebo J., et al., Intensive Care Medicine, ACS - Diabetes & metabolism, ACS - Microcirculation, ACS - Pulmonary hypertension & thrombosis, AII - Inflammatory diseases, Intensive Care, Econometrics, Neurosurgery, Cardiothoracic Surgery, and Internal Medicine
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Pulmonary and Respiratory Medicine ,Internal Medicine Sciences ,Klinik Tıp ,RESPIRATORY SYSTEM ,Dahili Tıp Bilimleri ,Göğüs Hastalıkları ve Allerji ,CLINICAL MEDICINE ,Sağlık Bilimleri ,Clinical Medicine (MED) ,Tıp ,SOLUNUM SİSTEMİ ,Mechanical ventilation ,N/A ,Health Sciences ,Settore MED/41 - ANESTESIOLOGIA ,Akciğer ve Solunum Tıbbı ,Medicine ,Klinik Tıp (MED) ,Chest Diseases and Allergy - Abstract
Background: Current management practices and outcomes in weaning from invasive mechanical ventilation are poorly understood. We aimed to describe the epidemiology, management, timings, risk for failure, and outcomes of weaning in patients requiring at least 2 days of invasive mechanical ventilation. Methods: WEAN SAFE was an international, multicentre, prospective, observational cohort study done in 481 intensive care units in 50 countries. Eligible participants were older than 16 years, admitted to a participating intensive care unit, and receiving mechanical ventilation for 2 calendar days or longer. We defined weaning initiation as the first attempt to separate a patient from the ventilator, successful weaning as no reintubation or death within 7 days of extubation, and weaning eligibility criteria based on positive end-expiratory pressure, fractional concentration of oxygen in inspired air, and vasopressors. The primary outcome was the proportion of patients successfully weaned at 90 days. Key secondary outcomes included weaning duration, timing of weaning events, factors associated with weaning delay and weaning failure, and hospital outcomes. This study is registered with ClinicalTrials.gov, NCT03255109. Findings: Between Oct 4, 2017, and June 25, 2018, 10 232 patients were screened for eligibility, of whom 5869 were enrolled. 4523 (77·1%) patients underwent at least one separation attempt and 3817 (65·0%) patients were successfully weaned from ventilation at day 90. 237 (4·0%) patients were transferred before any separation attempt, 153 (2·6%) were transferred after at least one separation attempt and not successfully weaned, and 1662 (28·3%) died while invasively ventilated. The median time from fulfilling weaning eligibility criteria to first separation attempt was 1 day (IQR 0–4), and 1013 (22·4%) patients had a delay in initiating first separation of 5 or more days. Of the 4523 (77·1%) patients with separation attempts, 2927 (64·7%) had a short wean (≤1 day), 457 (10·1%) had intermediate weaning (2–6 days), 433 (9·6%) required prolonged weaning (≥7 days), and 706 (15·6%) had weaning failure. Higher sedation scores were independently associated with delayed initiation of weaning. Delayed initiation of weaning and higher sedation scores were independently associated with weaning failure. 1742 (31·8%) of 5479 patients died in the intensive care unit and 2095 (38·3%) of 5465 patients died in hospital. Interpretation: In critically ill patients receiving at least 2 days of invasive mechanical ventilation, only 65% were weaned at 90 days. A better understanding of factors that delay the weaning process, such as delays in weaning initiation or excessive sedation levels, might improve weaning success rates. Funding: European Society of Intensive Care Medicine, European Respiratory Society.
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- 2023
4. Distraction Osteogenesis: Biological Principles and Its Application in Companion Animals
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Domingos, Guilherme, primary, Armés, Henrique, additional, Dias, Isabel, additional, Viegas, Carlos, additional, and Requicha, João, additional
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- 2021
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5. APPLICATION OF SCRUM METHODOLOGY IN AN ENGINEERING CASE STUDY/ APLICACAO DA METODOLOGIA SCRUM EM UM ESTUDO DE CASO DE ENGENHARIA
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Baldo, Rodrigo Fernando Galzerano, Cerri, Domingos Guilherme Pellegrino, da Silva, Alessandro Lucas, Zuim, Julia Brandino, Mergulhao, Larissa Eichemberguer Martinez, Adolpho, Matheus Normanton, Boschi, Thais Foschini, Garcia, Rhenan Fernandes Hergert, and Favalli, Rafael
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- 2019
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6. Poor timing and failure of source control are risk factors for mortality in critically ill patients with secondary peritonitis
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De Pascale, Gennaro, Antonelli, Massimo, Deschepper, Mieke, Arvaniti, Kostoula, Blot, Koen, Brown, Ben Creagh, de Lange, Dylan, De Waele, Jan, Dikmen, Yalim, Dimopoulos, George, Eckmann, Christian, Francois, Guy, Girardis, Massimo, Koulenti, Despoina, Labeau, Sonia, Lipman, Jeffrey, Lipovetsky, Fernando, Maseda, Emilio, Montravers, Philippe, Mikstacki, Adam, Paiva, José-Artur, Pereyra, Cecilia, Rello, Jordi, Timsit, Jean-Francois, Vogelaers, Dirk, Blot, Stijn, Lamrous, Amin, Lipovestky, Fernando, Rezende-Neto, Joao, Vymazal, Tomas, Fjeldsoee-Nielsen, Hans, Kott, Matthias, Kostoula, Arvaniti, Javeri, Yash, Einav, Sharon, Makikado, Luis Daniel Umezawa, Tomescu, Dana, Gritsan, Alexey, Jovanovic, Bojan, Venkatesan, Kumaresh, Mirkovic, Tomislav, Creagh-Brown, Benedict, Emmerich, Monica, Canale, Mariana, Dietz, Lorena Silvina, Ilutovich, Santiago, Miñope, John Thomas Sanchez, Silva, Ramona Baldomera, Montenegro, Martin Alexis, Martin, Patricio, Saul, Pablo, Chediack, Viviana, Sutton, Giselle, Couce, Rocio, Balasini, Carina, Gonzalez, Susana, Lascar, Florencia Maria, Descotte, Emiliano Jorge, Gumiela, Natalia Soledad, Pino, Carina Alejandra, Cesio, Cristian, Valgolio, Emanuel, Cunto, Eleonora, Dominguez, Cecilia, Nelson, Nydia Funes, Abegao, Esteban Martin, Pozo, Norberto Christian, Bianchi, Luciana, Correger, Enrique, Pastorino, Maria Laura, Miyazaki, Erica Aurora, Grubissich, Nicolas, Garcia, Mariel, Bonetto, Natalia, Quevedo, Noelia Elizabeth, Gomez, Cristina Delia, Queti, Felipe, Estevarena, Luis Gonzalez, Fernandez, Ruben, Santolaya, Ignacio, Grangeat, Sergio Hugo, Doglia, Juan, Zakalik, Graciela, Pellegrini, Carlos, Lloria, Maria Monserrat, Chacon, Mercedes Esteban, Fumale, Mariela, Leguizamon, Mariela, Hidalgo, Irene Beatriz, Tiranti, Roberto Juli an, Capponi, Paola, Tita, Agustin, Cardonnet, Luis, Bettini, Lisandro, Ramos, Agñel, Lovesio, Luciano, Miranda, Edith Miriam, Farfan, Angelica Beatriz, Tolosa, Carina, Segura, Lise, Bellocchio, Adelina, Alvarez, Brian, Manzur, Adriana, Lujan, Rodolfo, Fernandez, Natalia, Scarone, Nahuel, Zazu, Alan, Groh, Carina, Fletcher, Jason, Smith, Julie, Azad, Raman, Chavan, Nitin, Kol, Mark, Campbell, Lewis, Starr, Therese, Roberts, Brigit, Wibrow, Bradley, Warhurst, Timothy, Chinthamuneedi, Meher, Ferney, Bernal Buitrago, Simon, Marc, De Backer, Daniel, Wittebole, Xavier, De Bels, David, Collin, Vincent, Dams, Karolien, Jorens, Philippe, Dubois, Jasperina, Gunst, Jan, Haentjens, Lionel, De Schryver, Nicolas, Dugernier, Thierry, Rizoli, Sandro, Santillan, Paul, Han, Yi, Biskup, Ewelina, Qu, Changjing, Li, Xinyu, Yu, Tao, Weihua, Lu, Molano-Franco, Daniel, Rojas, José, Oviedo, Juan Mauricio Pardo, Pinilla, Dario, Cardenas, Yenny, Celis, Edgar, Arias, Mario, Vukovic, Anita, Vudrag, Maja, Belavic, Matija, Zunic, Josip, Kuharic, Janja, Kricka, Irena Bozanic, Filipovic-Grcic, Ina, Tomasevic, Boris, Obraz, Melanija, Bodulica, Bruna, Dohnal, Martin, Malaska, Jan, Kratochvil, Milan, Satinsky, Igor, Schwarz, Peter, Kos, Zdenek, Blahut, Ladislav, Maca, Jan, Protus, Marek, Kieslichová, Eva, Nielsen, Louise Gramstrup, Krogh, Birgitte Marianne, Rivadeneira, Francisco, Morales, Freddy, Mora, José, Orozco, Alexandra Saraguro, MorochoTutillo, Diego Rolando, Vargas, Nelson Remache, Yepez, Estuardo Salgado, Villamagua, Boris, Alsisi, Adel, Fahmy, Abdelraouf, Dupont, Hervé, Lasocki, Sigismond, Paugam-Burtz, Catherine, Foucrier, Arnaud, Nica, Alexandru, Barjon, Geneviève, Mallat, Jihad, Marcotte, Guillaume, Leone, Marc, Duclos, Gary, Burtin, Philippe, Atchade, Enora, Mahjoub, Yazine, Misset, Benoît, Timsit, Jean-François, Dupuis, Claire, Veber, Benoît, Debarre, Matthieu, Collange, Oliver, Pottecher, Julien, Hecketsweiler, Stephane, Fromentin, Mélanie, Tesnière, Antoine, Koch, Christian, Sander, Michael, Elke, Gunnar, Wrigge, Hermann, Simon, Philipp, Chalkiadaki, Anthoula, Tzanidakis, Charalampos, Pneumatikos, Ioannis, Sertaridou, Eleni, Mastora, Zafiria, Pantazopoulos, Ioannis, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Floros, John, Diakaki, Chryssa, Rallis, Michael, Paridou, Alexandra, Kalogeromitros, Alexandros, Romanou, Vasiliki, Nikolaou, Charikleia, Kounougeri, Katerina, Tsigou, Evdoxia, Psallida, Vasiliki, Karampela, Niki, Mandragos, Konstantinos, Kontoudaki, Eftychia, Pentheroudaki, Alexandra, Farazi-Chongouki, Christos, Karakosta, Agathi, Chouris, Isaac, Radu, Vasiliki, Malliotakis, Polychronis, Kokkini, Sofia, Charalambous, Eliana, Kyritsi, Aikaterini, Koulouras, Vasilios, Papathanakos, Georgios, Nagky, Eva, Lampiri, Clairi, Tsimpoukas, Fotios, Sarakatsanos, Ioannis, Georgakopoulos, Panagiotis, Ravani, Ifigeneia, Prekates, Athanasios, Sakellaridis, Konstantinos, Christopoulos, Christos, Vrettou, Efstratia, Stokkos, Konstantinos, Pentari, Anastasia, Marmanidou, Kyriaki, Kydona, Christina, Tsoumaropoulos, Georgios, Bitzani, Militisa, Kontou, Paschalina, Voudouris, Antonios, Flioni, Elli-Nikki, Antypa, Elli, Chasou, Eleftheria, Anisoglou, Souzana, Papageorgiou, Eirini, Paraforou, Theoniki, Tsioka, Agoritsa, Karathanou, Antigoni, Vakalos, Aristeidis, Shah, Bhagyesh, Thakkar, Chirag, Jain, Nikhilesh, Gurjar, Mohan, Baronia, Arvind, Sathe, Prachee, Kulkarni, Shilpa, Paul, Cherish, Paul, John, Masjedi, Mansoor, Nikandish, Reza, Zand, Farid, Sabetian, Golnar, Mahmoodpoor, Ata, Hashemian, Seyed Mohammadreza, Bala, Miklosh, Flocco, Romeo, Torrente, Sergio, Pota, Vincenzo, Spadaro, Savino, Volta, Carlo, Serafini, Giulia, Boraso, Sabrina, Tiberio, Ivo, Cortegiani, Andrea, Misseri, Giovanni, Barbagallo, Maria, Nicolotti, Davide, Forfori, Francesco, Corradi, Francesco, Pelagalli, Lorella, Brazzi, Luca, Vittone, Ferdinando Giorgio, Russo, Alessandro, Simion, Davide, Cotoia, Antonella, Toppin, Gilda Cinnella Patrick, Johnson-Jackson, Roxanne, Hayashi, Yoshiro, Yamamoto, Ryohei, Yasuda, Hideto, Kishihara, Yuki, Shiotsuka, Junji, Sanchez-Hurtado, Luis Alejandro, Tejeda-Huezo, Brigitte, Gorordo, Luis, Ñamendys-Silva, Silvio A, Garcia-Guillen, Francisco J, Martinez, Manuel, Romero-Meja, Erick, Colorado-Dominguez, Ever, van den Oever, Huub, Kalff, Karel Martijn, Vermeijden, Wytze, Cornet, Alexander Daniel, Beck, Oliver, Cimic, Nedim, Dormans, Tom, Bormans, Laura, Bakker, Jan, Van Duijn, Ditty, Bosman, Gerrit, Vos, Piet, Kesecioglu, Jozef, Haas, Lenneke, Henein, Akram, Miranda, Ariel M, Malca, Gonzalo Ernesto Gianella, Arroyo-Sanchez, Abel, Misiewska-Kaczur, Agnieszka, Akinyi, Frisch, Czuczwar, Miroslaw, Luczak, Karolina, Sulkowski, Wiktor, Tamowicz, Barbara, Swit, Beata, Baranowski, Bronisław, Smuszkiewicz, Piotr, Trojanowska, Iwona, Rzymski, Stanislaw, Sawinski, Mariusz, Trosiak, Marta, Mikaszewska-Sokolewicz, Malgorzata, Alves, Ricardo, Leal, Dina, Krystopchuk, Andriy, Mendonca, Pedro Muguel Hilario, Pereira, Rui Antunes, de Carvalho, Maria Raquel Lopes Marques, Candeias, Carlos, Molinos, Elena, Ferreira, Amélia, Castro, Guiomar, Pereira, José-Manuel, Santos, Lurdes, Ferreira, Alcina, Pascoalinho, Dulce, Ribeiro, Rosa, Domingos, Guilherme, Gomes, Pedro, Nora, David, Costa, Rui Pedro, Santos, Anabela, Alsheikhly, Ahmed Subhy, Popescu, Mihai, Grigoras, Ioana, Patrascanu, Emilia, Zabolotskikh, Igor, Musaeva, Tatiana, Gaigolnik, Denis, Kulabukhov, Vladimir, Belskiy, Vladislav, Zubareva, Nadezhda, Tribulev, Maxim, Abdelsalam, Ahmed, Aldarsani, Ayman, Al-Khalid, Muhammad, Almekhlafi, Ghaleb, Mandourah, Yasser, Doklestic, Krstina, Velickovic, Jelena, Velickovic, Dejan, Jankovic, Radmilo, Skoric-Jokic, Svetlana, Radovanovic, Dragana, Richards, Guy, Alli, Ahmad, Cordoba Nielfa, del Carmen, Iniesta, Rafael Sánchez, Martínez, Adela Benítez-Cano, Bernedo, Carlos Garcia, Gil, Santiago Alberto Picos, Nuvials, Xavier, Garcia, Joseba Gonzalez, Peña, Jose Manuel Garcia, Jimenez, Roberto, Herrera, Luis, Barrachina, Laura Galarza, Monzon, Ignacio Catalan, Redondo, Francisco Javier, Villazala, Ruben, Zapata, Diego Fernando Matallana, Lopez, Isabel Maria Villa, Moreno-Gonzalez, Gabriel, Lopez-Delgado, Juan Carlos, Marin, Jorge Solera, Sanchez-Zamora, Purificacion, Vidal, Montserrat Vallverdú, González, Jesús Flores, Salinas, Irene, Hermosa, Cecilia, Martinez-Sagasti, Fernando, Domingo-Marín, Sara, Victorino, Johanna Abril, Garcia-Alvarez, Raquel, Calleja, Pablo López-Arcas, de la Torre-Prados, Maria Victoria, Vidal-Cortes, Pablo, del Río-Carbajo, Lorena, Izura, Javier, Minguez, Victoria, Alvarez, Josep Trenado, Prous, Anna Parera, Paz, Daniel, Roche-Campo, Ferran, Aguilar, Gerardo, Belda, Javier, Rico-Feijoo, Jesus, Aldecoa, Cesat, Zalba-Etayo, Begoña, Dullenkopf, Alexander, Trongtrakul, Konlawij, Chtsomkasem, Anusang, Akbaş, Türkay, Unal, Mustafa Necmettin, Gumus, Ayca, Ramazanoglu, Atilla, Memis, Dilek, Mehmet, Inal, Urkmez, Seval, Ozgultekin, Asu, Demirkiran, Oktay, Aslan, Nesrin Ahu, Kizilaslan, Deniz, Kahveci, Ferda, Ünlü, Nurdan, Ozkan, Zeynep, Kaye, Callum, Jansen, Jan, O’Neill, Orla, Nutt, Christopher, Jha, Rajeev, Hooker, Nicolas, Grecu, Irina, Petridou, Christina, Shyamsundar, Murali, McNamee, Lia, Trinder, John, Hagan, Samantha, Kelly, Catriona, Silversides, Jonathon, Groba, Casiano Barrera, Boyd, Owen, Bhowmick, Kaushik, Humphreys, Sally, Summers, Charlotte, Polgarova, Petra, Margarson, Michael, Dickens, Justin, Pearson, Suzanne, Chinery, Elaine, Hemmings, Noel, O’Kane, Sinead, Austin, Pauline, Cole, Stephen, Plowright, Catherine, Box, Roberta, Wright, Christopher, Young, Lorna, Creagh-Brown, Ben, Montague, Laura, Parker, Robert, Morton, Ben, Ostermann, Marlies, Bilinska, Julia, Rose, Bernd Oliver, Reece-Anthony, Rosie, Ryan, Christine, Hamilton, Mark, Hopkins, Philip, Wendon, Julia, Brescia, Giovanni, Ijaz, Nazia, Wood, James, George, Michelle, Toth-Tarsoly, Piroska, Yates, Bryan, Armstrong, Maureen, Scott, Carmen, Boyd, Christine, Szakmany, Tamas, Rees, David, Pulak, Paul, Coggon, Mandy, Saha, Bhaskar, Kent, Linda, Gibson, Bethan, Camsooksai, Julie, Reschreiter, Henrik, Morgan, Pat, Sangaralingham, Sivatharshini, Lowe, Alastair, Vondras, Petr, Jamadarkhana, Sunil, Cruz, Carina, Bhandary, Rakesh, Hersey, Peter, Furneval, Julie, Innes, Richard, Doble, Patricia, Attwood, Ben, Parsons, Penny, Page, Valerie, Zhao, Xiaobei, Dalton, Julian, Hegazy, Mohammed, Awad, Yasser, Naylor, Douglas, Naylor, Amanda, Lee, Sarah, Brevard, Sidney, Davis, Noelle, De Pascale, Gennaro, Antonelli, Massimo, Deschepper, Mieke, Arvaniti, Kostoula, Blot, Koen, Brown, Ben Creagh, de Lange, Dylan, De Waele, Jan, Dikmen, Yalim, Dimopoulos, George, Eckmann, Christian, Francois, Guy, Girardis, Massimo, Koulenti, Despoina, Labeau, Sonia, Lipman, Jeffrey, Lipovetsky, Fernando, Maseda, Emilio, Montravers, Philippe, Mikstacki, Adam, Paiva, José-Artur, Pereyra, Cecilia, Rello, Jordi, Timsit, Jean-Francoi, Vogelaers, Dirk, Blot, Stijn, Lamrous, Amin, Lipovestky, Fernando, Rezende-Neto, Joao, Vymazal, Toma, Fjeldsoee-Nielsen, Han, Kott, Matthia, Kostoula, Arvaniti, Javeri, Yash, Einav, Sharon, Makikado, Luis Daniel Umezawa, Tomescu, Dana, Gritsan, Alexey, Jovanovic, Bojan, Venkatesan, Kumaresh, Mirkovic, Tomislav, Creagh-Brown, Benedict, Emmerich, Monica, Canale, Mariana, Dietz, Lorena Silvina, Ilutovich, Santiago, Miñope, John Thomas Sanchez, Silva, Ramona Baldomera, Montenegro, Martin Alexi, Martin, Patricio, Saul, Pablo, Chediack, Viviana, Sutton, Giselle, Couce, Rocio, Balasini, Carina, Gonzalez, Susana, Lascar, Florencia Maria, Descotte, Emiliano Jorge, Gumiela, Natalia Soledad, Pino, Carina Alejandra, Cesio, Cristian, Valgolio, Emanuel, Cunto, Eleonora, Dominguez, Cecilia, Nelson, Nydia Fune, Abegao, Esteban Martin, Pozo, Norberto Christian, Bianchi, Luciana, Correger, Enrique, Pastorino, Maria Laura, Miyazaki, Erica Aurora, Grubissich, Nicola, Garcia, Mariel, Bonetto, Natalia, Quevedo, Noelia Elizabeth, Gomez, Cristina Delia, Queti, Felipe, Estevarena, Luis Gonzalez, Fernandez, Ruben, Santolaya, Ignacio, Grangeat, Sergio Hugo, Doglia, Juan, Zakalik, Graciela, Pellegrini, Carlo, Lloria, Maria Monserrat, Chacon, Mercedes Esteban, Fumale, Mariela, Leguizamon, Mariela, Hidalgo, Irene Beatriz, Tiranti, Roberto Juli an, Capponi, Paola, Tita, Agustin, Cardonnet, Lui, Bettini, Lisandro, Ramos, Agñel, Lovesio, Luciano, Miranda, Edith Miriam, Farfan, Angelica Beatriz, Tolosa, Carina, Segura, Lise, Bellocchio, Adelina, Alvarez, Brian, Manzur, Adriana, Lujan, Rodolfo, Fernandez, Natalia, Scarone, Nahuel, Zazu, Alan, Groh, Carina, Fletcher, Jason, Smith, Julie, Azad, Raman, Chavan, Nitin, Kol, Mark, Campbell, Lewi, Starr, Therese, Roberts, Brigit, Wibrow, Bradley, Warhurst, Timothy, Chinthamuneedi, Meher, Ferney, Bernal Buitrago, Simon, Marc, De Backer, Daniel, Wittebole, Xavier, De Bels, David, Collin, Vincent, Dams, Karolien, Jorens, Philippe, Dubois, Jasperina, Gunst, Jan, Haentjens, Lionel, De Schryver, Nicola, Dugernier, Thierry, Rizoli, Sandro, Santillan, Paul, Han, Yi, Biskup, Ewelina, Qu, Changjing, Li, Xinyu, Yu, Tao, Weihua, Lu, Molano-Franco, Daniel, Rojas, José, Oviedo, Juan Mauricio Pardo, Pinilla, Dario, Cardenas, Yenny, Celis, Edgar, Arias, Mario, Vukovic, Anita, Vudrag, Maja, Belavic, Matija, Zunic, Josip, Kuharic, Janja, Kricka, Irena Bozanic, Filipovic-Grcic, Ina, Tomasevic, Bori, Obraz, Melanija, Bodulica, Bruna, Dohnal, Martin, Malaska, Jan, Kratochvil, Milan, Satinsky, Igor, Schwarz, Peter, Kos, Zdenek, Blahut, Ladislav, Maca, Jan, Protus, Marek, Kieslichová, Eva, Nielsen, Louise Gramstrup, Krogh, Birgitte Marianne, Rivadeneira, Francisco, Morales, Freddy, Mora, José, Orozco, Alexandra Saraguro, MorochoTutillo, Diego Rolando, Vargas, Nelson Remache, Yepez, Estuardo Salgado, Villamagua, Bori, Alsisi, Adel, Fahmy, Abdelraouf, Dupont, Hervé, Lasocki, Sigismond, Paugam-Burtz, Catherine, Foucrier, Arnaud, Nica, Alexandru, Barjon, Geneviève, Mallat, Jihad, Marcotte, Guillaume, Leone, Marc, Duclos, Gary, Burtin, Philippe, Atchade, Enora, Mahjoub, Yazine, Misset, Benoît, Timsit, Jean-Françoi, Dupuis, Claire, Veber, Benoît, Debarre, Matthieu, Collange, Oliver, Pottecher, Julien, Hecketsweiler, Stephane, Fromentin, Mélanie, Tesnière, Antoine, Koch, Christian, Sander, Michael, Elke, Gunnar, Wrigge, Hermann, Simon, Philipp, Chalkiadaki, Anthoula, Tzanidakis, Charalampo, Pneumatikos, Ioanni, Sertaridou, Eleni, Mastora, Zafiria, Pantazopoulos, Ioanni, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Floros, John, Diakaki, Chryssa, Rallis, Michael, Paridou, Alexandra, Kalogeromitros, Alexandro, Romanou, Vasiliki, Nikolaou, Charikleia, Kounougeri, Katerina, Tsigou, Evdoxia, Psallida, Vasiliki, Karampela, Niki, Mandragos, Konstantino, Kontoudaki, Eftychia, Pentheroudaki, Alexandra, Farazi-Chongouki, Christo, Karakosta, Agathi, Chouris, Isaac, Radu, Vasiliki, Malliotakis, Polychroni, Kokkini, Sofia, Charalambous, Eliana, Kyritsi, Aikaterini, Koulouras, Vasilio, Papathanakos, Georgio, Nagky, Eva, Lampiri, Clairi, Tsimpoukas, Fotio, Sarakatsanos, Ioanni, Georgakopoulos, Panagioti, Ravani, Ifigeneia, Prekates, Athanasio, Sakellaridis, Konstantino, Christopoulos, Christo, Vrettou, Efstratia, Stokkos, Konstantino, Pentari, Anastasia, Marmanidou, Kyriaki, Kydona, Christina, Tsoumaropoulos, Georgio, Bitzani, Militisa, Kontou, Paschalina, Voudouris, Antonio, Flioni, Elli-Nikki, Antypa, Elli, Chasou, Eleftheria, Anisoglou, Souzana, Papageorgiou, Eirini, Paraforou, Theoniki, Tsioka, Agoritsa, Karathanou, Antigoni, Vakalos, Aristeidi, Shah, Bhagyesh, Thakkar, Chirag, Jain, Nikhilesh, Gurjar, Mohan, Baronia, Arvind, Sathe, Prachee, Kulkarni, Shilpa, Paul, Cherish, Paul, John, Masjedi, Mansoor, Nikandish, Reza, Zand, Farid, Sabetian, Golnar, Mahmoodpoor, Ata, Hashemian, Seyed Mohammadreza, Bala, Miklosh, Flocco, Romeo, Torrente, Sergio, Pota, Vincenzo, Spadaro, Savino, Volta, Carlo, Serafini, Giulia, Boraso, Sabrina, Tiberio, Ivo, Cortegiani, Andrea, Misseri, Giovanni, Barbagallo, Maria, Nicolotti, Davide, Forfori, Francesco, Corradi, Francesco, Pelagalli, Lorella, Brazzi, Luca, Vittone, Ferdinando Giorgio, Russo, Alessandro, Simion, Davide, Cotoia, Antonella, Toppin, Gilda Cinnella Patrick, Johnson-Jackson, Roxanne, Hayashi, Yoshiro, Yamamoto, Ryohei, Yasuda, Hideto, Kishihara, Yuki, Shiotsuka, Junji, Sanchez-Hurtado, Luis Alejandro, Tejeda-Huezo, Brigitte, Gorordo, Lui, Ñamendys-Silva, Silvio A, Garcia-Guillen, Francisco J, Martinez, Manuel, Romero-Meja, Erick, Colorado-Dominguez, Ever, van den Oever, Huub, Kalff, Karel Martijn, Vermeijden, Wytze, Cornet, Alexander Daniel, Beck, Oliver, Cimic, Nedim, Dormans, Tom, Bormans, Laura, Bakker, Jan, Van Duijn, Ditty, Bosman, Gerrit, Vos, Piet, Kesecioglu, Jozef, Haas, Lenneke, Henein, Akram, Miranda, Ariel M, Malca, Gonzalo Ernesto Gianella, Arroyo-Sanchez, Abel, Misiewska-Kaczur, Agnieszka, Akinyi, Frisch, Czuczwar, Miroslaw, Luczak, Karolina, Sulkowski, Wiktor, Tamowicz, Barbara, Swit, Beata, Baranowski, Bronisław, Smuszkiewicz, Piotr, Trojanowska, Iwona, Rzymski, Stanislaw, Sawinski, Mariusz, Trosiak, Marta, Mikaszewska-Sokolewicz, Malgorzata, Alves, Ricardo, Leal, Dina, Krystopchuk, Andriy, Mendonca, Pedro Muguel Hilario, Pereira, Rui Antune, de Carvalho, Maria Raquel Lopes Marque, Candeias, Carlo, Molinos, Elena, Ferreira, Amélia, Castro, Guiomar, Pereira, José-Manuel, Santos, Lurde, Ferreira, Alcina, Pascoalinho, Dulce, Ribeiro, Rosa, Domingos, Guilherme, Gomes, Pedro, Nora, David, Costa, Rui Pedro, Santos, Anabela, Alsheikhly, Ahmed Subhy, Popescu, Mihai, Grigoras, Ioana, Patrascanu, Emilia, Zabolotskikh, Igor, Musaeva, Tatiana, Gaigolnik, Deni, Kulabukhov, Vladimir, Belskiy, Vladislav, Zubareva, Nadezhda, Tribulev, Maxim, Abdelsalam, Ahmed, Aldarsani, Ayman, Al-Khalid, Muhammad, Almekhlafi, Ghaleb, Mandourah, Yasser, Doklestic, Krstina, Velickovic, Jelena, Velickovic, Dejan, Jankovic, Radmilo, Skoric-Jokic, Svetlana, Radovanovic, Dragana, Richards, Guy, Alli, Ahmad, Cordoba Nielfa, del Carmen, Iniesta, Rafael Sánchez, Martínez, Adela Benítez-Cano, Bernedo, Carlos Garcia, Gil, Santiago Alberto Pico, Nuvials, Xavier, Garcia, Joseba Gonzalez, Peña, Jose Manuel Garcia, Jimenez, Roberto, Herrera, Lui, Barrachina, Laura Galarza, Monzon, Ignacio Catalan, Redondo, Francisco Javier, Villazala, Ruben, Zapata, Diego Fernando Matallana, Lopez, Isabel Maria Villa, Moreno-Gonzalez, Gabriel, Lopez-Delgado, Juan Carlo, Marin, Jorge Solera, Sanchez-Zamora, Purificacion, Vidal, Montserrat Vallverdú, González, Jesús Flore, Salinas, Irene, Hermosa, Cecilia, Martinez-Sagasti, Fernando, Domingo-Marín, Sara, Victorino, Johanna Abril, Garcia-Alvarez, Raquel, Calleja, Pablo López-Arca, de la Torre-Prados, Maria Victoria, Vidal-Cortes, Pablo, del Río-Carbajo, Lorena, Izura, Javier, Minguez, Victoria, Alvarez, Josep Trenado, Prous, Anna Parera, Paz, Daniel, Roche-Campo, Ferran, Aguilar, Gerardo, Belda, Javier, Rico-Feijoo, Jesu, Aldecoa, Cesat, Zalba-Etayo, Begoña, Dullenkopf, Alexander, Trongtrakul, Konlawij, Chtsomkasem, Anusang, Akbaş, Türkay, Unal, Mustafa Necmettin, Gumus, Ayca, Ramazanoglu, Atilla, Memis, Dilek, Mehmet, Inal, Urkmez, Seval, Ozgultekin, Asu, Demirkiran, Oktay, Aslan, Nesrin Ahu, Kizilaslan, Deniz, Kahveci, Ferda, Ünlü, Nurdan, Ozkan, Zeynep, Kaye, Callum, Jansen, Jan, O’Neill, Orla, Nutt, Christopher, Jha, Rajeev, Hooker, Nicola, Grecu, Irina, Petridou, Christina, Shyamsundar, Murali, McNamee, Lia, Trinder, John, Hagan, Samantha, Kelly, Catriona, Silversides, Jonathon, Groba, Casiano Barrera, Boyd, Owen, Bhowmick, Kaushik, Humphreys, Sally, Summers, Charlotte, Polgarova, Petra, Margarson, Michael, Dickens, Justin, Pearson, Suzanne, Chinery, Elaine, Hemmings, Noel, O’Kane, Sinead, Austin, Pauline, Cole, Stephen, Plowright, Catherine, Box, Roberta, Wright, Christopher, Young, Lorna, Creagh-Brown, Ben, Montague, Laura, Parker, Robert, Morton, Ben, Ostermann, Marlie, Bilinska, Julia, Rose, Bernd Oliver, Reece-Anthony, Rosie, Ryan, Christine, Hamilton, Mark, Hopkins, Philip, Wendon, Julia, Brescia, Giovanni, Ijaz, Nazia, Wood, Jame, George, Michelle, Toth-Tarsoly, Piroska, Yates, Bryan, Armstrong, Maureen, Scott, Carmen, Boyd, Christine, Szakmany, Tama, Rees, David, Pulak, Paul, Coggon, Mandy, Saha, Bhaskar, Kent, Linda, Gibson, Bethan, Camsooksai, Julie, Reschreiter, Henrik, Morgan, Pat, Sangaralingham, Sivatharshini, Lowe, Alastair, Vondras, Petr, Jamadarkhana, Sunil, Cruz, Carina, Bhandary, Rakesh, Hersey, Peter, Furneval, Julie, Innes, Richard, Doble, Patricia, Attwood, Ben, Parsons, Penny, Page, Valerie, Zhao, Xiaobei, Dalton, Julian, Hegazy, Mohammed, Awad, Yasser, Naylor, Dougla, Naylor, Amanda, Lee, Sarah, Brevard, Sidney, Davis, Noelle, Morochotutillo, Diego Rolando, Baranowski, Bronislaw, Akbas, Türkay, Mcnamee, Lia, UCL - SSS/IREC/MEDA - Pôle de médecine aiguë, and UCL - (SLuc) Service de soins intensifs
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Adult ,Secondary peritoniti ,Critical Illness ,Peritonitis ,Critical Care and Intensive Care Medicine ,Anti-Bacterial Agents ,Antimicrobial therapy ,Intensive Care Units ,Secondary peritonitis ,Intra-abdominal infection ,Anti-Infective Agents ,Risk Factors ,Source control ,Sepsis ,Medicine and Health Sciences ,Humans ,Intraabdominal Infections ,Mortality ,Retrospective Studies - Abstract
PURPOSE: To describe data on epidemiology, microbiology, clinical characteristics and outcome of adult patients admitted in the intensive care unit (ICU) with secondary peritonitis, with special emphasis on antimicrobial therapy and source control. METHODS: Post hoc analysis of a multicenter observational study (Abdominal Sepsis Study, AbSeS) including 2621 adult ICU patients with intra-abdominal infection in 306 ICUs from 42 countries. Time-till-source control intervention was calculated as from time of diagnosis and classified into 'emergency' (< 2 h), 'urgent' (2-6 h), and 'delayed' (> 6 h). Relationships were assessed by logistic regression analysis and reported as odds ratios (OR) and 95% confidence interval (CI). RESULTS: The cohort included 1077 cases of microbiologically confirmed secondary peritonitis. Mortality was 29.7%. The rate of appropriate empiric therapy showed no difference between survivors and non-survivors (66.4% vs. 61.3%, p = 0.1). A stepwise increase in mortality was observed with increasing Sequential Organ Failure Assessment (SOFA) scores (19.6% for a value ≤ 4-55.4% for a value > 12, p < 0.001). The highest odds of death were associated with septic shock (OR 3.08 [1.42-7.00]), late-onset hospital-acquired peritonitis (OR 1.71 [1.16-2.52]) and failed source control evidenced by persistent inflammation at day 7 (OR 5.71 [3.99-8.18]). Compared with 'emergency' source control intervention (< 2 h of diagnosis), 'urgent' source control was the only modifiable covariate associated with lower odds of mortality (OR 0.50 [0.34-0.73]). CONCLUSION: 'Urgent' and successful source control was associated with improved odds of survival. Appropriateness of empirical antimicrobial treatment did not significantly affect survival suggesting that source control is more determinative for outcome. TRIAL REGISTRATION: ClinicalTrials.gov NCT03270345.
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- 2022
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7. Epidemiologic profile of scorpion sting accidents in the duodecennial between 2011 and 2022 in the southeastern region of Brazil
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Silva, Maria Vitória Gilvan da, primary, Pereira, Gabriel Silva, additional, Nunes, Pedro Lucas Figueiredo, additional, Domingos, Guilherme Henrique de Oliveira, additional, Ramos, Eliezer Lucas Pires, additional, Carmo, João Paulo Martins do, additional, and Oliveira, Vinícius José de, additional
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- 2023
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8. Assessing the carbon footprint of beef cattle in Brazil: a case study with 22 farms in the State of Mato Grosso
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Cerri, Carlos Clemente, Moreira, Cindy Silva, Alves, Priscila Aparecida, Raucci, Guilherme Silva, de Almeida Castigioni, Bruno, Mello, Francisco F.C., Cerri, Domingos Guilherme P., and Cerri, Carlos Eduardo P.
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- 2016
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9. Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE): a multicentre, prospective, observational cohort study
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Tài, Pham, Leo, Heunk, Giacomo, Bellani, Fabiana, Madotto, Irene, Aragao, Gaëtan, Beduneau, Ewan C, Goligher, Giacomo, Grasselli, Jon Henrik, Laake, Jordi, Mancebo, Oscar, Peñuela, Lise, Piquilloud, Antonio, Pesenti, Hannah, Wunsch, Frank, van Haren, Laurent, Brochard, John G, Laffey, Abrough, Fekri, P Acharya, Subhash, Amin, Pravin, Arabi, Yaseen, Aragao, Irene, Bauer, Philippe, Beduneau, Gaëtan, Beitler, Jeremy, Berkius, Johan, Bugedo, Guillermo, Camporota, Luigi, Cerny, Vladimir, Cho, Young-Jae, Clarkson, Kevin, Estenssoro, Elisa, Goligher, Ewan, Grasselli, Giacomo, Gritsan, Alexey, Mohammadreza Hashemian, Seyed, Hermans, Greet, M Heunks, Leo, Jovanovic, Bojan, Kurahashi, Kiyoyasu, Henrik Laake, Jon, Matamis, Dimitrio, Moerer, Onnen, Molnar, Zsolt, Ozyilmaz, Ezgi, Panka, Bernardo, Papali, Alfred, Peñuelas, Óscar, Perbet, Sébastien, Piquilloud, Lise, Qiu, Haibo, Abdel Razek, Assem, Rittayamai, Nuttapol, Roldan, Rollin, Serpa Neto, Ary, Szuldrzynski, Konstanty, Talmor, Daniel, Tomescu, Dana, Van Haren, Frank, Villagomez, Asisclo, Ali Zeggwagh, Amine, Abe, Toshikazu, Aboshady, Abdelrhman, Acampo-de Jong, Melanie, Acharya, Subhash, Adderley, Jane, Adiguzel, Nalan, Kumar Agrawal, Vijay, Aguilar, Gerardo, Aguirre, Gaston, Aguirre-Bermeo, Hernan, Ahlström, Björn, Akbas, Türkay, Akker, Mustafa, Al Sadeh, Ghamdan, Alamri, Sultan, Algaba, Angela, Ali, Muneeb, Aliberti, Anna, Manuel Allegue, Jose, Alvarez, Diana, Amador, Joaquin, H Andersen, Finn, Ansari, Sharique, Apichatbutr, Yutthana, Apostolopoulou, Olympia, Arellano, Daniel, Arica, Mestanza, Arikan, Huseyin, Arinaga, Koichi, Arnal, Jean-Michel, Asano, Kengo, Asín-Corrochano, Marta, Milagrito Avalos Cabrera, Jesu, Avila Fuentes, Silvia, Aydemir, Semih, Aygencel, Gulbin, Azevedo, Luciano, Bacakoglu, Feza, Badie, Julio, Baedorf Kassis, Elia, Bai, Gabriela, Balaraj, Govindan, Ballico, Bruno, Banner-Goodspeed, Valerie, Banwarie, Preveen, Barbieri, Rosella, Baronia, Arvind, Barrett, Jonathan, Barrot, Loïc, Emilio Barrueco-Francioni, Jesu, Barry, Jeffrey, Bawangade, Harshal, Beavis, Sarah, Beck, Eduardo, Beehre, Nina, Belenguer Muncharaz, Alberto, Bellani, Giacomo, Belliato, Mirko, Bellissima, Agrippino, Beltramelli, Rodrigo, Ben Souissi, Asma, Benitez-Cano, Adela, Benlamin, Mohamed, Benslama, Abdellatif, Bento, Lui, Benvenuti, Daniela, Bernabe, Laura, Bersten, Andrew, Berta, Giacomo, Bertini, Pietro, Bertram-Ralph, Elliot, Besbes, Mohamed, Roberto Bettini, Lisandro, Beuret, Pascal, Bewley, Jeremy, Bezzi, Marco, Bhakhtiani, Lakshay, Bhandary, Rakesh, Bhowmick, Kaushik, Bihari, Shailesh, Bissett, Bernie, Blythe, David, Bocher, Simon, Boedjawan, Narain, M Bojanowski, Christine, Boni, Elisa, Boraso, Sabrina, Borelli, Massimo, Borello, Silvina, Borislavova, Margarita, J Bosma, Karen, Bottiroli, Maurizio, Boyd, Owen, Bozbay, Suha, Briva, Arturo, Brochard, Laurent, Bruel, Cédric, Bruni, Andrea, Buehner, Ulrike, Bulpa, Pierre, Burt, Karen, Buscot, Mathieu, Buttera, Stefania, Cabrera, Jorge, Caccese, Roberta, Caironi, Pietro, Canchos Gutierrez, Ivan, Canedo, Nancy, Cani, Alma, Cappellini, Iacopo, Carazo, Jesu, Pablo Cardonnet, Lui, Carpio, David, Carriedo, Demetrio, Carrillo, Ramón, Carvalho, João, Caser, Eliana, Castelli, Antonio, Castillo Quintero, Manuel, Castro, Heloisa, Catorze, Nuno, Cengiz, Melike, Cereijo, Enrique, Ceunen, Helga, Chaintoutis, Christo, Chang, Youjin, Chaparro, Gustavogcha, Chapman, Carmel, Chau, Simon, Eugenia Chavez, Cecilia, Chelazzi, Cosimo, Chelly, Jonathan, Chemouni, Frank, Chen, Kai, Chena, Ariel, Chiarandini, Paolo, Chilton, Phil, Chiumello, Davide, Chou-Lie, Yvette, Chudeau, Nicola, Cinel, Ismail, Cinnella, Gilda, Clark, Michele, Clark, Thoma, Clementi, Stefano, Coaguila, Lui, Jaspe Codecido, Alexi, Collins, Amy, Colombo, Riccardo, Conde, Juan, Consales, Guglielmo, Cook, Tim, Coppadoro, Andrea, Cornejo, Rodrigo, Cortegiani, Andrea, Coxo, Cristina, Neville Cracchiolo, Andrea, Crespo Ramirez, Mónica, Crova, Philippe, Cruz, José, Cubattoli, Lucia, Çukurova, Zafer, Curto, Francesco, Czempik, Piotr, D'Andrea, Rocco, da Silva Ramos, Fernando, Dangers, Laurence, Danguy des Déserts, Marc, Danin, Pierre-Eric, Dantas, Fabianne, Daubin, Cédric, Dawei, Wu, de Haro, Candelaria, de Jesus Montelongo, Felipe, De Mendoza, Diego, de Pablo, Raúl, De Pascale, Gennaro, De Rosa, Silvia, Decavèle, Maxen, Declercq, Pierre-Loui, Deicas, Alberto, Del Carmen Campos Moreno, María, Dellamonica, Jean, Delmas, Benjamin, Demirkiran, Oktay, Demirkiran, Hilmi, Dendane, Tarek, di Mussi, Rossella, Diakaki, Chrysi, Diaz, Anatilde, Diaz, Willy, Dikmen, Yalim, Dimoula, Aikaterini, Doble, Patricia, Doha, Nagwa, Domingos, Guilherme, Dres, Martin, Dries, David, Duggal, Abhijit, Duke, Graeme, Dunts, Pavel, Dybwik, Knut, Dykyy, Maksym, Eckert, Philippe, Efe, Serdar, Elatrous, Souheil, Elay, Gülseren, S Elmaryul, Abubaker, Elsaadany, Mohamed, Elsayed, Hany, Elsayed, Samar, Emery, Malo, Ena, Sébastien, Eng, Kevin, A Englert, Joshua, Erdogan, Elif, Ergin Ozcan, Perihan, Eroglu, Ege, Escobar, Miguel, Esen, Figen, Esen Tekeli, Arzu, Esquivel, Alejandro, Esquivel Gallegos, Helbert, Ezzouine, Hanane, Facchini, Alberto, Faheem, Mohammad, Fanelli, Vito, Fernanda Farina, Maria, Fartoukh, Muriel, Fehrle, Lutz, Feng, Feng, Feng, Yufeng, Fernandez, Irene, Fernandez, Borja, Lorena Fernandez-Rodriguez, Maria, Ferrando, Carlo, João Ferreira da Silva, Maria, Ferreruela, Mireia, Ferrier, Janet, Jesús Flamm Zamorano, Matia, Flood, Laura, Floris, Leda, Fluckiger, Martin, Forteza, Catalina, Fortunato, Antonella, Frans, Eric, Frattari, Antonella, Fredes, Sebastian, Frenzel, Tim, Fumagalli, Roberto, Andres Furche, Mariano, Fusari, Maurizio, Fysh, Edward, Luis Galeas-Lopez, Juan, Galerneau, Louis-Marie, Garcia, Analía, Fernanda Garcia, María, Garcia, Elisabet, Garcia Olivares, Pablo, Garlicki, Jaroslaw, Garnero, Aude, Garofalo, Eugenio, Gautam, Prabha, Gazenkampf, Andrey, Gelinotte, Stéphanie, Gelormini, Domenico, Ghrenassia, Etienne, Giacomucci, Angelo, Giannoni, Robert, Gigante, Andrea, Glober, Nancy, Gnesin, Paolo, Gollo, Yari, Gomaa, Dina, Gomero Paredes, Rosita, Gomes, Rui, Alejandro Gomez, Raúl, Gomez, Oscar, Gomez, Aroa, Gondim, Louise, Gonzalez, Manuel, Gonzalez, Isabel, Gonzalez-Castro, Alejandro, Gordillo Romero, Orlando, Gordo, Federico, Gouin, Philippe, Graf Santos, Jerónimo, Grainne, Rooney, Grando, Matilde, Granov Grabovica, Sanja, Grasso, Salvatore, Grasso, Rinaldo, Grimmer, Lisa, Grissom, Colin, Gu, Qing, Guan, Xiang-Dong, Guarracino, Fabio, Guasch, Neu, Guatteri, Luca, Gueret, Renaud, Guérin, Claude, Guerot, Emmanuel, Guitard, Pierre-Gilda, Gül, Fethi, Gumus, Ayca, Gurjar, Mohan, Gutierrez, Patricia, Hachimi, Abdelhamid, Hadzibegovic, Adi, Hagan, Samantha, Hammel, Clare, Han Song, Joo, Hanlon, Gabrielle, Heines, Serge, Henriksson, Johanna, Herbrecht, Jean-Etienne, Omar Heredia Orbegoso, Gabriel, Hermon, Andrew, Hernandez, Rosana, Hernandez, Carmen, Herrera, Lui, Herrera-Gutierrez, Manuel, Heunks, Leo, Hidalgo, Juan, Hill, Dianne, Holmquist, Dagmar, Homez, Marcela, Hongtao, Xia, Hormis, Anil, Horner, Daniel, Carmen Hornos, M, Hou, Meihong, House, Stacy, Housni, Brahim, Hugill, Keith, Humphreys, Sally, Humbert, Loui, Hunter, Stephanie, Hwa Young, Lee, Iezzi, Nicola, Ilutovich, Santiago, Inal, Volkan, Innes, Richard, Ioannides, Panagioti, Antonio Iotti, Giorgio, Ippolito, Mariachiara, Irie, Hiromasa, Iriyama, Hiroki, Itagaki, Taiga, Izura, Javier, Izza, Santiago, Jabeen, Rakhshanda, Jamaati, Hamidreza, Jamadarkhana, Sunil, Jamoussi, Amira, Jankowski, Milosz, Alberto Jaramillo, Lui, Jeon, Kyeongman, Jeong Lee, Seok, Jeswani, Deepak, Jha, Simant, Jiang, Liangyan, Jing, Chen, Jochmans, Sébastien, Anders Johnstad, Bror, Jongmin, Lee, Joret, Aurélie, Junhasavasdikul, Detajin, Teresa Jurado, Maria, Kam, Elisa, Kamohara, Hidenobu, Kane, Caroline, Kara, Iskender, Karakurt, Sait, Karnjanarachata, Cherdkiat, Kataoka, Jun, Katayama, Shinshu, Kaushik, Shuchi, Kelebek Girgin, Nermin, Kerr, Kathryn, Kerslake, Ian, Khairnar, Prakash, Khalid, Abidi, Khan, Akram, K Khanna, Ashish, Khorasanee, Reza, Kienhorst, Dieneke, Kirakli, Cenk, Knafelj, Rihard, Kol Kol, Mark, Kongpolprom, Napplika, Kopitko, Csaba, Korkmaz Ekren, Pervin, Kubisz-Pudelko, Agnieszka, Kulcsar, Zoltan, Kumasawa, Junji, Kuriyama, Akira, Kutchak, Fernanda, Labarca, Eduardo, Labat, Françoise, Laborda, César, Alberto Laca Barrera, Manuel, Lagache, Laurie, Landaverde Lopez, Antonio, Lanspa, Michael, Lascari, Valeria, Le Meur, Matthieu, Hwan Lee, Su, Ju Lee, Young, Lee, Jinwoo, Lee, Won-Yeon, Lee, Jarone, Legernaes, Terje, Leiner, Tamaa, Lemiale, Virginie, Leonor, Tiago, M Lepper, Philipp, Li, Dahuan, Li, Hongbin, Li, Oleg, Raquel Lima, Ana, Lind, Dan, Litton, Edward, Liu, Ning, Liu, Ling, Liu, Jialin, Llitjos, Jean-Françoi, Llorente, Beatriz, Lopez, Rodolfo, Elizabeth Lopez, Claudia, Lopez Nava, Claudia, Lovazzano, Pablo, Lu, Min, Lucchese, Francesca, Lugano, Manuela, Lugo Goytia, Gustavo, Luo, Hua, Lynch, Ceri, Macheda, Sebastiano, Hugo Madrigal Robles, Victor, Maurizio Maggiore, Salvatore, Magret Iglesias, Mònica, Malaga, Peter, Mallapura Maheswarappa, Harish, Malpartida, Guillermo, Malyarchikov, Andrey, Mansson, Helena, Manzano, Anaid, Marey, Ismael, Marin, Nathalie, Del Carmen Marin, Maria, Markman, Eliana, Martin, Felix, Martin, Alex, Martin Dal Gesso, Cristina, Martinez, Felipe, Martínez-Fidalgo, Conchita, Martin-Loeches, Ignacio, Mas, Arantxa, Masaaki, Sakuraya, Maseda, Emilio, Massa, Eleni, Mattsson, Anna, Maugeri, Jessica, Mccredie, Victoria, Mccullough, Jame, Mcguinness, Shay, Mckown, Andrew, Medve, László, Mei, Chengqing, Mellado Artigas, Ricard, Mendes, Vitor, Khalaf Ebraheim Mervat, Mohamed, Michaux, Isabelle, Mikhaeil, Michael, Milagros, Olga, Milet, Igor, Teresa Millan, Maria, Minwei, Zhang, Mirabella, Lucia, Mishra, Sanghamitra, Mistraletti, Giovanni, Mochizuki, Katsunori, Moghal, Arif, Mojoli, Francesco, Molin, Alexandre, Montiel, Raquel, Montini, Luca, Monza, Gianmario, Mora Aznar, Maria, Morakul, Sunthiti, Morales, Maria, Moreno Torres, Daniel, Rolando Morocho Tutillo, Diego, Motherway, Catherine, Mouhssine, Doumiri, Mouloudi, Eleni, Muñoz, Tapia, Munoz de Cabo, Carlo, Mustafa, Mohamed, Muthuchellappan, Radhakrishnan, Muthukrishnan, Muraleekrishnan, Muttini, Stefano, Nagata, Isao, Nahar, Dick, Nakanishi, Misuzu, Nakayama, Izumi, Antonio Namendys-Silva, Silvio, Nanchal, Rahul, Nandakumar, Sivakumar, Nasi, Alessandra, Nasir, Kamal, Navalesi, Paolo, Naz Aslam, Tayyba, Nga Phan, Thuy, Nichol, Alistair, Niiyama, Shuhei, Nikolakopoulou, Sofia, Nikolic, Elena, Nitta, Kenichi, Noc, Marko, Nonas, Stephanie, Nseir, Saad, Nur Soyturk, Ayse, Obata, Yukako, Oeckler, Richard, Oguchi, Moe, Ohshimo, Shinichiro, Oikonomou, Marina, Ojados, Agueda, Teresa Oliveira, Maria, Oliveira Filho, Wilson, Oliveri, Carlo, Olmos, Aitor, Omura, Kazuya, Cristina Orlandi, Maria, Orsenigo, Francesca, Ortiz-Ruiz De Gordoa, Laura, Ota, Kei, Ovalle Olmos, Rainier, Öveges, Nándo, Oziemski, Peter, Ozkan Kuscu, Ozlem, Özyilmaz, Ezgi, Pachas Alvarado, Fernando, Pagella, Gonzalo, Palaniswamy, Vijayanand, Luis Palazon Sanchez, Eugenio, Palmese, Salvatore, Pan, Guojun, Pan, Wensen, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Parekh, Ameet, Parke, Rachael, J Parrilla, Francisco, Parrilla, Dácil, Pasha, Taha, Pasin, Laura, Patão, Lui, Patel, Mayur, Patel, Grisma, Kumar Pati, Basanta, Patil, Jayaprakash, Pattnaik, Saroj, Paul, Daniel, Pavesi, Maurizio, Alejandra Pavlotsky, Vanesa, Paz, Graciela, Paz, Enrique, Pecci, Elisabetta, Pellegrini, Carlo, Gabriela Peña Padilla, Andrea, Perchiazzi, Gaetano, Pereira, Tiago, Pereira, Vera, Perez, Manuel, Perez Calvo, Cesar, Perez Cheng, Meisy, Perez Maita, Ronald, Pérez-Araos, Rodrigo, Perez-Teran, Purificación, Perez-Torres, David, Perkins, Gavin, Persona, Paolo, Petnak, Tananchai, Petrova, Marina, Pham, Tai, Philippart, Françoi, Picetti, Edoardo, Pierucci, Elisabetta, Piervincenzi, Edoardo, Pinciroli, Riccardo, Pintado, Maria-Consuelo, Piraino, Thoma, Piras, Stephanie, Piras, Claudio, Pirompanich, Pattarin, Pisani, Luigi, Platas, Enrique, Plotnikow, Gustavo, Porras, Willy, Porta, Virginia, Portilla, Mariana, Portugal, José, Povoa, Pedro, Prat, Gwenael, Pratto, Romina, Preda, Gabriel, Prieto, Isidro, Prol-Silva, Estefania, Pugh, Richard, Qi, Yupeng, Qian, Chuanyun, Qin, Tiehe, Qu, Hongping, Quintana, Teobaldo, Quispe Sierra, Rosari, Quispe Soto, Rocio, Rabbani, Raihan, Rabee, Mohamed, Rabie, Ahmed, Augusta Rahe Pereira, Maria, Rai, Ashish, Raj Ashok, Sundar, Rajab, Mostafa, Ramdhani, Navin, Ramey, Elizabeth, Ranieri, Marco, Rathod, Darshana, Ray, Banambar, Mahmud Redwanul Huq, Shihan, Regli, Adrian, Reina, Rosa, Resano Sarmiento, Natalia, Reynaud, Faustine, Rialp, Gemma, Ricart, Pilar, Rice, Todd, Richardson, Angu, Rieder, Marcelo, Rinket, Martin, Rios, Fernando, Risso Vazquez, Alejandro, Riva, Ivano, Rivette, Monaly, Roca, Oriol, Roche-Campo, Ferran, Rodriguez, Covadonga, Rodriguez, Gabriel, Rodriguez Gonzalez, Daniel, Yanina Rodriguez Tucto, Xandra, Rogers, Angela, Elena Romano, María, Rørtveit, Linda, Rose, Alastair, Roux, Damien, Rouze, Anahita, Nahuel Rubatto Birri, Paolo, Ruilan, Wang, Ruiz Robledo, Aldana, Luis Ruiz-Aguilar, Antonio, Sadahiro, Tomohito, Saez, Ignacio, Sagardia, Judith, Saha, Rajnish, Saha, Rohit, Saiphoklang, Narongkorn, Saito, Shigeki, Salem, Maie, Sales, Gabriele, Salgado, Patricia, Samavedam, Sriniva, Sami Mebazaa, Mhamed, Samuelsson, Line, San Juan Roman, Nandyelly, Sanchez, Patricia, Sanchez-Ballesteros, Jesu, Sandoval, Yazcitk, Sani, Emanuele, Santos, Martin, Santos, Carla, Sanui, Masamitsu, Saravanabavan, Lakshmikanthcharan, Sari, Sema, Sarkany, Agne, Sauneuf, Bertrand, Savioli, Monica, Sazak, Hilal, Scano, Riccardo, Schneider, Franci, Schortgen, Frédérique, J Schultz, Marcu, Leonie Schwarz, Gabriele, Seçkin Yücesoy, Faruk, Seely, Andrew, Seiler, Frederik, Seker Tekdos, Yasemin, Seok Chan, Kim, Serano, Luca, Serednicki, Wojciech, Setten, Mariano, Shah, Asim, Shah, Bhagyesh, Shang, You, Shanmugasundaram, Pradeep, Shapovalov, Konstantin, Shebl, Eman, Shiga, Takuya, Shime, Nobuaki, Shin, Phil, Short, Jack, Shuhua, Chen, Siddiqui, Sughrat, Ignacio Silesky Jimenez, Juan, Silva, Daniel, Silva Sales, Betania, Simons, Koen, Ågot Sjøbø, Brit, Slessor, David, Smiechowicz, Jakub, Smischney, Nathan, Smith, Paul, Smith, Tim, Smith, Mark, Snape, Sarah, Snyman, Lindi, Soetens, Filiep, Sook Hong, Kyung, Ángel Sosa Medellin, Miguel, Soto, Giovanna, Souloy, Xavier, Sousa, Elsa, Sovatzis, Stefania, Sozutek, Didem, Spadaro, Savino, Spagnoli, Marco, Spångfors, Martin, Spittle, Nick, Spivey, Mike, Stapleton, Andrew, Stefanovic, Branislava, Stephenson, Lorraine, Stevenson, Elizabeth, Strand, Kristian, Teresa Strano, Maria, Straus, Slavenka, Sun, Chenliang, Sun, Rongqing, Sundaram, Venkat, Sunpark, Tai, Surlemont, Elisabeth, Sutherasan, Yuda, Szabo, Zsuzsanna, Tainter, Christopher, Takaba, Akihiro, Tallott, Mandy, Tamasato, Tamasato, Tang, Zhanhong, Tangsujaritvijit, Viratch, Taniguchi, Leandro, Taniguchi, Daisuke, Tarantino, Fabio, Teerapuncharoen, Krittika, Temprano, Susana, Terragni, Pierpaolo, Terzi, Nicola, Thakur, Anand, Theerawit, Pongdhep, W Thille, Arnaud, Thomas, Matt, Thungtitigul, Poungrat, Thyrault, Martial, Tilouch, Nejla, Timenetsky, Karina, Tirapu, Juna, Todeschini, Manuel, Tomas, Roser, Tomaszewski, Christian, Tonetti, Tommaso, Tonnelier, Alexandre, Trinder, John, Trongtrakul, Konlawij, Truwit, Jonathon, Tsuei, Betty, Tulaimat, Aiman, Turan, Sema, Turkoglu, Melda, Tyagi, Sanjeev, Ubeda, Alejandro, Vagginelli, Federica, Florencia Valenti, María, Vallverdu, Imma, Van Axel, Alisha, van den Hul, Ingrid, van der Hoeven, Han, Van Der Meer, Nardo, Vanhoof, Marc, Vargas-Ordoñez, Mónica, Vaschetto, Rosanna, Vascotto, Ettore, Vatsik, Maria, Vaz, Ana, Vazquez-Sanchez, Antonia, Ventura, Sara, Wytze Vermeijden, Jan, Vidal, Anxela, Vieira, Jocyelle, Vilela Costa Pinto, Bruno, Villagra, Ana, Villegas Succar, Cristina, Georg Vinorum, Ole, Vitale, Giovanni, Vj, Ramesh, Vochin, Ana, Voiriot, Guillaume, Alberto Volta, Carlo, von Seth, Magnu, Wajdi, Maazouzi, Walsh, Don, Wang, Shouhong, Wardi, Gabriel, Christian Ween-Velken, Nil, Wei, Bi-Lin, Weller, Dolf, Welsh, Deborah, Welters, Ingeborg, Wert, Michael, Whiteley, Simon, Wilby, Elizabeth, Williams, Erin, Williams, Karen, Wilson, Antoinette, Wojtas, Jadwiga, Won Huh, Jin, Wrathall, David, Wright, Christopher, Wu, Jian-Feng, Xi, Guo, Xing, Zheng-Jiang, Xu, Hongyang, Yamamoto, Kotaro, Yan, Jie, Yáñez, Julio, Yang, Xiaobo, Yates, Elliot, Yazicioglu Mocin, Ozlem, Ye, Zhenglong, Yildirim, Fatma, Yoshida, Norifumi, Higo Leon Yoshido, Hector, Young Lee, Bo, Yu, Rongguo, Yu, Gong, Yu, Tao, Yuan, Boyun, Yuangtrakul, Nadwipa, Yumoto, Tetsuya, Yun, Xie, Zakalik, Graciela, Zaki, Ahmad, Zalba-Etayo, Begoña, Zambon, Massimo, Zang, Bin, Zani, Gianluca, Zarka, Jonathan, Maria Zerbi, Simone, Zerman, Avsar, Zetterquist, Harald, Zhang, Jiuzhi, Zhang, Hongwen, Zhang, Wei, Zhang, Guoxiu, Zhang, Weixin, Zhao, Hongsheng, Zheng, Jia, Zhu, Bin, Zumaran, Ronald, Pham, Tài, Madotto, Fabiana, Goligher, Ewan C, Laake, Jon Henrik, Mancebo, Jordi, Peñuelas, Oscar, Pesenti, Antonio, Wunsch, Hannah, van Haren, Frank, Laffey, John G, Fekri Abrough, Subhash P Acharya, Pravin Amin, Yaseen Arabi, Irene Aragao, Philippe Bauer, Gaëtan Beduneau, Jeremy Beitler, Johan Berkius, Guillermo Bugedo, Luigi Camporota, Vladimir Cerny, Young-Jae Cho, Kevin Clarkson, Elisa Estenssoro, Ewan Goligher, Giacomo Grasselli, Alexey Gritsan, Seyed Mohammadreza Hashemian, Greet Hermans, Leo M Heunks, Bojan Jovanovic, Kiyoyasu Kurahashi, Jon Henrik Laake, Dimitrios Matamis, Onnen Moerer, Zsolt Molnar, Ezgi Ozyilmaz, Bernardo Panka, Alfred Papali, Óscar Peñuelas, Sébastien Perbet, Lise Piquilloud, Haibo Qiu, Assem Abdel Razek, Nuttapol Rittayamai, Rollin Roldan, Ary Serpa Neto, Konstanty Szuldrzynski, Daniel Talmor, Dana Tomescu, Frank Van Haren, Asisclo Villagomez, Amine Ali Zeggwagh, Toshikazu Abe, Abdelrhman Aboshady, Melanie Acampo-de Jong, Subhash Acharya, Jane Adderley, Nalan Adiguzel, Vijay Kumar Agrawal, Gerardo Aguilar, Gaston Aguirre, Hernan Aguirre-Bermeo, Björn Ahlström, Türkay Akbas, Mustafa Akker, Ghamdan Al Sadeh, Sultan Alamri, Angela Algaba, Muneeb Ali, Anna Aliberti, Jose Manuel Allegue, Diana Alvarez, Joaquin Amador, Finn H Andersen, Sharique Ansari, Yutthana Apichatbutr, Olympia Apostolopoulou, Daniel Arellano, Mestanza Arica, Huseyin Arikan, Koichi Arinaga, Jean-Michel Arnal, Kengo Asano, Marta Asín-Corrochano, Jesus Milagrito Avalos Cabrera, Silvia Avila Fuentes, Semih Aydemir, Gulbin Aygencel, Luciano Azevedo, Feza Bacakoglu, Julio Badie, Elias Baedorf Kassis, Gabriela Bai, Govindan Balaraj, Bruno Ballico, Valerie Banner-Goodspeed, Preveen Banwarie, Rosella Barbieri, Arvind Baronia, Jonathan Barrett, Loïc Barrot, Jesus Emilio Barrueco-Francioni, Jeffrey Barry, Harshal Bawangade, Sarah Beavis, Eduardo Beck, Nina Beehre, Alberto Belenguer Muncharaz, Giacomo Bellani, Mirko Belliato, Agrippino Bellissima, Rodrigo Beltramelli, Asma Ben Souissi, Adela Benitez-Cano, Mohamed Benlamin, Abdellatif Benslama, Luis Bento, Daniela Benvenuti, Laura Bernabe, Andrew Bersten, Giacomo Berta, Pietro Bertini, Elliot Bertram-Ralph, Mohamed Besbes, Lisandro Roberto Bettini, Pascal Beuret, Jeremy Bewley, Marco Bezzi, Lakshay Bhakhtiani, Rakesh Bhandary, Kaushik Bhowmick, Shailesh Bihari, Bernie Bissett, David Blythe, Simon Bocher, Narain Boedjawan, Christine M Bojanowski, Elisa Boni, Sabrina Boraso, Massimo Borelli, Silvina Borello, Margarita Borislavova, Karen J Bosma, Maurizio Bottiroli, Owen Boyd, Suha Bozbay, Arturo Briva, Laurent Brochard, Cédric Bruel, Andrea Bruni, Ulrike Buehner, Pierre Bulpa, Karen Burt, Mathieu Buscot, Stefania Buttera, Jorge Cabrera, Roberta Caccese, Pietro Caironi, Ivan Canchos Gutierrez, Nancy Canedo, Alma Cani, Iacopo Cappellini, Jesus Carazo, Luis Pablo Cardonnet, David Carpio, Demetrio Carriedo, Ramón Carrillo, João Carvalho, Eliana Caser, Antonio Castelli, Manuel Castillo Quintero, Heloisa Castro, Nuno Catorze, Melike Cengiz, Enrique Cereijo, Helga Ceunen, Christos Chaintoutis, Youjin Chang, Gustavogcha Chaparro, Carmel Chapman, Simon Chau, Cecilia Eugenia Chavez, Cosimo Chelazzi, Jonathan Chelly, Frank Chemouni, Kai Chen, Ariel Chena, Paolo Chiarandini, Phil Chilton, Davide Chiumello, Yvette Chou-Lie, Nicolas Chudeau, Ismail Cinel, Gilda Cinnella, Michele Clark, Thomas Clark, Stefano Clementi, Luis Coaguila, Alexis Jaspe Codecido, Amy Collins, Riccardo Colombo, Juan Conde, Guglielmo Consales, Tim Cook, Andrea Coppadoro, Rodrigo Cornejo, Andrea Cortegiani, Cristina Coxo, Andrea Neville Cracchiolo, Mónica Crespo Ramirez, Philippe Crova, José Cruz, Lucia Cubattoli, Zafer Çukurova, Francesco Curto, Piotr Czempik, Rocco D'Andrea, Fernando da Silva Ramos, Laurence Dangers, Marc Danguy des Déserts, Pierre-Eric Danin, Fabianne Dantas, Cédric Daubin, Wu Dawei, Candelaria de Haro, Felipe de Jesus Montelongo, Diego De Mendoza, Raúl de 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Cherdkiat, Kataoka, Jun, Katayama, Shinshu, Kaushik, Shuchi, Kelebek Girgin, Nermin, Kerr, Kathryn, Kerslake, Ian, Khairnar, Prakash, Khalid, Abidi, Khan, Akram, K Khanna, Ashish, Khorasanee, Reza, Kienhorst, Dieneke, Kirakli, Cenk, Knafelj, Rihard, Kol Kol, Mark, Kongpolprom, Napplika, Kopitko, Csaba, Korkmaz Ekren, Pervin, Kubisz-Pudelko, Agnieszka, Kulcsar, Zoltan, Kumasawa, Junji, Kuriyama, Akira, Kutchak, Fernanda, Labarca, Eduardo, Labat, Françoise, Laborda, César, Alberto Laca Barrera, Manuel, Lagache, Laurie, Landaverde Lopez, Antonio, Lanspa, Michael, Lascari, Valeria, Le Meur, Matthieu, Hwan Lee, Su, Ju Lee, Young, Lee, Jinwoo, Lee, Won-Yeon, Lee, Jarone, Legernaes, Terje, Leiner, Tamaa, Lemiale, Virginie, Leonor, Tiago, M Lepper, Philipp, Li, Dahuan, Li, Hongbin, Li, Oleg, Raquel Lima, Ana, Lind, Dan, Litton, Edward, Liu, Ning, Liu, Ling, Liu, Jialin, Llitjos, Jean-Françoi, Llorente, Beatriz, Lopez, Rodolfo, Elizabeth Lopez, Claudia, Lopez Nava, Claudia, Lovazzano, Pablo, Lu, Min, Lucchese, Francesca, Lugano, Manuela, Lugo Goytia, Gustavo, Luo, Hua, Lynch, Ceri, Macheda, Sebastiano, Hugo Madrigal Robles, Victor, Maurizio Maggiore, Salvatore, Magret Iglesias, Mònica, Malaga, Peter, Mallapura Maheswarappa, Harish, Malpartida, Guillermo, Malyarchikov, Andrey, Mansson, Helena, Manzano, Anaid, Marey, Ismael, Marin, Nathalie, Del Carmen Marin, Maria, Markman, Eliana, Martin, Felix, Martin, Alex, Martin Dal Gesso, Cristina, Martinez, Felipe, Martínez-Fidalgo, Conchita, Martin-Loeches, Ignacio, Mas, Arantxa, Masaaki, Sakuraya, Maseda, Emilio, Massa, Eleni, Mattsson, Anna, Maugeri, Jessica, Mccredie, Victoria, Mccullough, Jame, Mcguinness, Shay, Mckown, Andrew, Medve, László, Mei, Chengqing, Mellado Artigas, Ricard, Mendes, Vitor, Khalaf Ebraheim Mervat, Mohamed, Michaux, Isabelle, Mikhaeil, Michael, Milagros, Olga, Milet, Igor, Teresa Millan, Maria, Minwei, Zhang, Mirabella, Lucia, Mishra, Sanghamitra, Mistraletti, Giovanni, Mochizuki, Katsunori, Moghal, Arif, 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Francesca, Ortiz-Ruiz De Gordoa, Laura, Ota, Kei, Ovalle Olmos, Rainier, Öveges, Nándo, Oziemski, Peter, Ozkan Kuscu, Ozlem, Özyilmaz, Ezgi, Pachas Alvarado, Fernando, Pagella, Gonzalo, Palaniswamy, Vijayanand, Luis Palazon Sanchez, Eugenio, Palmese, Salvatore, Pan, Guojun, Pan, Wensen, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Parekh, Ameet, Parke, Rachael, J Parrilla, Francisco, Parrilla, Dácil, Pasha, Taha, Pasin, Laura, Patão, Lui, Patel, Mayur, Patel, Grisma, Kumar Pati, Basanta, Patil, Jayaprakash, Pattnaik, Saroj, Paul, Daniel, Pavesi, Maurizio, Alejandra Pavlotsky, Vanesa, Paz, Graciela, Paz, Enrique, Pecci, Elisabetta, Pellegrini, Carlo, Gabriela Peña Padilla, Andrea, Perchiazzi, Gaetano, Pereira, Tiago, Pereira, Vera, Perez, Manuel, Perez Calvo, Cesar, Perez Cheng, Meisy, Perez Maita, Ronald, Pérez-Araos, Rodrigo, Perez-Teran, Purificación, Perez-Torres, David, Perkins, Gavin, Persona, Paolo, Petnak, Tananchai, Petrova, Marina, Pham, Tai, Philippart, Françoi, 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Masaaki, Emilio Maseda, Eleni Massa, Anna Mattsson, Jessica Maugeri, Victoria McCredie, James McCullough, Shay McGuinness, Andrew McKown, László Medve, Chengqing Mei, Ricard Mellado Artigas, Vitor Mendes, Mohamed Khalaf Ebraheim Mervat, Isabelle Michaux, Michael Mikhaeil, Olga Milagros, Igor Milet, Maria Teresa Millan, Zhang Minwei, Lucia Mirabella, Sanghamitra Mishra, Giovanni Mistraletti, Katsunori Mochizuki, Arif Moghal, Francesco Mojoli, Alexandre Molin, Raquel Montiel, Luca Montini (ORCID:0000-0003-4602-5134), Gianmario Monza, Maria Mora Aznar, Sunthiti Morakul, Maria Morales, Daniel Moreno Torres, Diego Rolando Morocho Tutillo, Catherine Motherway, Doumiri Mouhssine, Eleni Mouloudi, Tapia Muñoz, Carlos Munoz de Cabo, Mohamed Mustafa, Radhakrishnan Muthuchellappan, Muraleekrishnan Muthukrishnan, Stefano Muttini, Isao Nagata, Dick Nahar, Misuzu Nakanishi, Izumi Nakayama, Silvio Antonio Namendys-Silva, Rahul Nanchal, Sivakumar Nandakumar, Alessandra Nasi, Kamal Nasir, Paolo Navalesi, Tayyba Naz Aslam, Thuy Nga Phan, Alistair Nichol, Shuhei Niiyama, Sofia Nikolakopoulou, Elena Nikolic, Kenichi Nitta, Marko Noc, Stephanie Nonas, Saad Nseir, Ayse Nur Soyturk, Yukako Obata, Richard Oeckler, Moe Oguchi, Shinichiro Ohshimo, Marina Oikonomou, Agueda Ojados, Maria Teresa Oliveira, Wilson Oliveira Filho, Carlo Oliveri, Aitor Olmos, Kazuya Omura, Maria Cristina Orlandi, Francesca Orsenigo, Laura Ortiz-Ruiz De Gordoa, Kei Ota, Rainier Ovalle Olmos, Nándo Öveges, Peter Oziemski, Ozlem Ozkan Kuscu, Ezgi Özyilmaz, Fernando Pachas Alvarado, Gonzalo Pagella, Vijayanand Palaniswamy, Eugenio Luis Palazon Sanchez, Salvatore Palmese, Guojun Pan, Wensen Pan, Metaxia Papanikolaou, Theonymfi Papavasilopoulou, Ameet Parekh, Rachael Parke, Francisco J Parrilla, Dácil Parrilla, Taha Pasha, Laura Pasin, Luis Patão, Mayur Patel, Grisma Patel, Basanta Kumar Pati, Jayaprakash Patil, Saroj Pattnaik, Daniel Paul, Maurizio Pavesi, Vanesa Alejandra Pavlotsky, Graciela Paz, Enrique Paz, Elisabetta Pecci, Carlos Pellegrini, Andrea Gabriela Peña Padilla, Gaetano Perchiazzi, Tiago Pereira, Vera Pereira, Manuel Perez, Cesar Perez Calvo, Meisy Perez Cheng, Ronald Perez Maita, Rodrigo Pérez-Araos, Purificación Perez-Teran, David Perez-Torres, Gavin Perkins, Paolo Persona, Tananchai Petnak, Marina Petrova, Tai Pham, François Philippart, Edoardo Picetti, Elisabetta Pierucci, Edoardo Piervincenzi, Riccardo Pinciroli, Maria-Consuelo Pintado, Thomas Piraino, Stephanie Piras, Claudio Piras, Pattarin Pirompanich, Luigi Pisani, Enrique Platas, Gustavo Plotnikow, Willy Porras, Virginia Porta, Mariana Portilla, José Portugal, Pedro Povoa, Gwenael Prat, Romina Pratto, Gabriel Preda, Isidro Prieto, Estefania Prol-Silva, Richard Pugh, Yupeng Qi, Chuanyun Qian, Tiehe Qin, Hongping Qu, Teobaldo Quintana, Rosari Quispe Sierra, Rocio Quispe Soto, Raihan Rabbani, Mohamed Rabee, Ahmed Rabie, Maria Augusta Rahe Pereira, Ashish Rai, Sundar Raj Ashok, Mostafa Rajab, Navin Ramdhani, Elizabeth Ramey, Marco Ranieri, Darshana Rathod, Banambar Ray, Shihan Mahmud Redwanul Huq, Adrian Regli, Rosa Reina, Natalia Resano Sarmiento, Faustine Reynaud, Gemma Rialp, Pilar Ricart, Todd Rice, Angus Richardson, Marcelo Rieder, Martin Rinket, Fernando Rios, Alejandro Risso Vazquez, Ivano Riva, Monaly Rivette, Oriol Roca, Ferran Roche-Campo, Covadonga Rodriguez, Gabriel Rodriguez, Daniel Rodriguez Gonzalez, Xandra Yanina Rodriguez Tucto, Angela Rogers, María Elena Romano, Linda Rørtveit, Alastair Rose, Damien Roux, Anahita Rouze, Paolo Nahuel Rubatto Birri, Wang Ruilan, Aldana Ruiz Robledo, Antonio Luis Ruiz-Aguilar, Tomohito Sadahiro, Ignacio Saez, Judith Sagardia, Rajnish Saha, Rohit Saha, Narongkorn Saiphoklang, Shigeki Saito, Maie Salem, Gabriele Sales, Patricia Salgado, Srinivas Samavedam, Mhamed Sami Mebazaa, Line Samuelsson, Nandyelly San Juan Roman, Patricia Sanchez, Jesus Sanchez-Ballesteros, Yazcitk Sandoval, Emanuele Sani, Martin Santos, Carla Santos, Masamitsu Sanui, Lakshmikanthcharan Saravanabavan, Sema Sari, Agnes Sarkany, Bertrand Sauneuf, Monica Savioli, Hilal Sazak, Riccardo Scano, Francis Schneider, Frédérique Schortgen, Marcus J Schultz, Gabriele Leonie Schwarz, Faruk Seçkin Yücesoy, Andrew Seely, Frederik Seiler, Yasemin Seker Tekdos, Kim Seok Chan, Luca Serano, Wojciech Serednicki, Mariano Setten, Asim Shah, Bhagyesh Shah, You Shang, Pradeep Shanmugasundaram, Konstantin Shapovalov, Eman Shebl, Takuya Shiga, Nobuaki Shime, Phil Shin, Jack Short, Chen Shuhua, Sughrat Siddiqui, Juan Ignacio Silesky Jimenez, Daniel Silva, Betania Silva Sales, Koen Simons, Brit Ågot Sjøbø, David Slessor, Jakub Smiechowicz, Nathan Smischney, Paul Smith, Tim Smith, Mark Smith, Sarah Snape, Lindi Snyman, Filiep Soetens, Kyung Sook Hong, Miguel Ángel Sosa Medellin, Giovanna Soto, Xavier Souloy, Elsa Sousa, Stefania Sovatzis, Didem Sozutek, Savino Spadaro, Marco Spagnoli, Martin Spångfors, Nick Spittle, Mike Spivey, Andrew Stapleton, Branislava Stefanovic, Lorraine Stephenson, Elizabeth Stevenson, Kristian Strand, Maria Teresa Strano, Slavenka Straus, Chenliang Sun, Rongqing Sun, Venkat Sundaram, Tai SunPark, Elisabeth Surlemont, Yuda Sutherasan, Zsuzsanna Szabo, Christopher Tainter, Akihiro Takaba, Mandy Tallott, Tamasato Tamasato, Zhanhong Tang, Viratch Tangsujaritvijit, Leandro Taniguchi, Daisuke Taniguchi, Fabio Tarantino, Krittika Teerapuncharoen, Susana Temprano, Pierpaolo Terragni, Nicolas Terzi, Anand Thakur, Pongdhep Theerawit, Arnaud W Thille, Matt Thomas, Poungrat Thungtitigul, Martial Thyrault, Nejla Tilouch, Karina Timenetsky, Juna Tirapu, Manuel Todeschini, Roser Tomas, Christian Tomaszewski, Tommaso Tonetti, Alexandre Tonnelier, John Trinder, Konlawij Trongtrakul, Jonathon Truwit, Betty Tsuei, Aiman Tulaimat, Sema Turan, Melda Turkoglu, Sanjeev Tyagi, Alejandro Ubeda, Federica Vagginelli, María Florencia Valenti, Imma Vallverdu, Alisha Van Axel, Ingrid van den Hul, Hans van der Hoeven, Nardo Van Der Meer, Marc Vanhoof, Mónica Vargas-Ordoñez, Rosanna Vaschetto, Ettore Vascotto, Maria Vatsik, Ana Vaz, Antonia Vazquez-Sanchez, Sara Ventura, Jan Wytze Vermeijden, Anxela Vidal, Jocyelle Vieira, Bruno Vilela Costa Pinto, Ana Villagra, Cristina Villegas Succar, Ole Georg Vinorum, Giovanni Vitale, Ramesh Vj, Ana Vochin, Guillaume Voiriot, Carlo Alberto Volta, Magnus von Seth, Maazouzi Wajdi, Don Walsh, Shouhong Wang, Gabriel Wardi, Nils Christian Ween-Velken, Bi-Lin Wei, Dolf Weller, Deborah Welsh, Ingeborg Welters, Michael Wert, Simon Whiteley, Elizabeth Wilby, Erin Williams, Karen Williams, Antoinette Wilson, Jadwiga Wojtas, Jin Won Huh, David Wrathall, Christopher Wright, Jian-Feng Wu, Guo Xi, Zheng-Jiang Xing, Hongyang Xu, Kotaro Yamamoto, Jie Yan, Julio Yáñez, Xiaobo Yang, Elliot Yates, Ozlem Yazicioglu Mocin, Zhenglong Ye, Fatma Yildirim, Norifumi Yoshida, Hector Higo Leon Yoshido, Bo Young Lee, Rongguo Yu, Gong Yu, Tao Yu, Boyun Yuan, Nadwipa Yuangtrakul, Tetsuya Yumoto, Xie Yun, Graciela Zakalik, Ahmad Zaki, Begoña Zalba-Etayo, Massimo Zambon, Bin Zang, Gianluca Zani, Jonathan Zarka, Simone Maria Zerbi, Avsar Zerman, Harald Zetterquist, Jiuzhi Zhang, Hongwen Zhang, Wei Zhang, Guoxiu Zhang, Weixin Zhang, Hongsheng Zhao, Jia Zheng, Bin Zhu, and Ronald Zumaran
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Background: Current management practices and outcomes in weaning from invasive mechanical ventilation are poorly understood. We aimed to describe the epidemiology, management, timings, risk for failure, and outcomes of weaning in patients requiring at least 2 days of invasive mechanical ventilation. Methods: WEAN SAFE was an international, multicentre, prospective, observational cohort study done in 481 intensive care units in 50 countries. Eligible participants were older than 16 years, admitted to a participating intensive care unit, and receiving mechanical ventilation for 2 calendar days or longer. We defined weaning initiation as the first attempt to separate a patient from the ventilator, successful weaning as no reintubation or death within 7 days of extubation, and weaning eligibility criteria based on positive end-expiratory pressure, fractional concentration of oxygen in inspired air, and vasopressors. The primary outcome was the proportion of patients successfully weaned at 90 days. Key secondary outcomes included weaning duration, timing of weaning events, factors associated with weaning delay and weaning failure, and hospital outcomes. This study is registered with ClinicalTrials.gov, NCT03255109. Findings: Between Oct 4, 2017, and June 25, 2018, 10 232 patients were screened for eligibility, of whom 5869 were enrolled. 4523 (77·1%) patients underwent at least one separation attempt and 3817 (65·0%) patients were successfully weaned from ventilation at day 90. 237 (4·0%) patients were transferred before any separation attempt, 153 (2·6%) were transferred after at least one separation attempt and not successfully weaned, and 1662 (28·3%) died while invasively ventilated. The median time from fulfilling weaning eligibility criteria to first separation attempt was 1 day (IQR 0-4), and 1013 (22·4%) patients had a delay in initiating first separation of 5 or more days. Of the 4523 (77·1%) patients with separation attempts, 2927 (64·7%) had a short wean (≤1 d
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- 2023
10. Diretriz de Telecardiologia no Cuidado de Pacientes com Síndrome Coronariana Aguda e Outras Doenças Cardíacas
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Mucio Tavares de Oliveira Junior, Manoel Fernandes Canesin, Milena Soriano Marcolino, Antonio Luiz Pinho Ribeiro, Antonio Carlos de Camargo Carvalho, Shankar Reddy, Adson Roberto França dos Santos, Alfredo Manoel da Silva Fernandes, Amaury Zatorre Amaral, Ana Carolina de Rezende, Antonio Nechar Junior, Bruno Ramos do Nascimento, Carlos Alberto Pastore, Chao Lung Wen, Danielle Menosi Gualandro, Domingos Guilherme Napoli, Francisco Faustino A. C. França, Gilson Soares Feitosa-Filho, Jamil Abdalla Saad, Jeanne Pilli, Leonardo Jorge Cordeiro de Paula, Lucas Lodi-Junqueira, Luis Antonio Machado Cesar, Luiz Carlos Bodanese, Marco Antonio Gutierrez, Maria Beatriz Moreira Alkmim, Mauricio Batista Nunes, Orlando Otávio de Medeiros, Ramon Alfredo Moreno, Rosângela Simões Gundim, Sergio Tavares Montenegro, and Willyan Issamu Nazima
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Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Published
- 2015
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11. Assessing the greenhouse gas emissions of Brazilian soybean biodiesel production.
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Carlos Eduardo Pellegrino Cerri, Xin You, Maurício Roberto Cherubin, Cindy Silva Moreira, Guilherme Silva Raucci, Bruno de Almeida Castigioni, Priscila Aparecida Alves, Domingos Guilherme Pellegrino Cerri, Francisco Fujita de Castro Mello, and Carlos Clemente Cerri
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Medicine ,Science - Abstract
Soybean biodiesel (B100) has been playing an important role in Brazilian energy matrix towards the national bio-based economy. Greenhouse gas (GHG) emissions is the most widely used indicator for assessing the environmental sustainability of biodiesels and received particular attention among decision makers in business and politics, as well as consumers. Former studies have been mainly focused on the GHG emissions from the soybean cultivation, excluding other stages of the biodiesel production. Here, we present a holistic view of the total GHG emissions in four life cycle stages for soybean biodiesel. The aim of this study was to assess the GHG emissions of Brazilian soybean biodiesel production system with an integrated life cycle approach of four stages: agriculture, extraction, production and distribution. Allocation of mass and energy was applied and special attention was paid to the integrated and non-integrated industrial production chain. The results indicated that the largest source of GHG emissions, among four life cycle stages, is the agricultural stage (42-51%) for B100 produced in integrated systems and the production stage (46-52%) for B100 produced in non-integrated systems. Integration of industrial units resulted in significant reduction in life cycle GHG emissions. Without the consideration of LUC and assuming biogenic CO2 emissions is carbon neutral in our study, the calculated life cycle GHG emissions for domestic soybean biodiesel varied from 23.1 to 25.8 gCO2eq. MJ-1 B100 and those for soybean biodiesel exported to EU ranged from 26.5 to 29.2 gCO2eq. MJ-1 B100, which represent reductions by 65% up to 72% (depending on the delivery route) of GHG emissions compared with the EU benchmark for diesel fuel. Our findings from a life cycle perspective contributed to identify the major GHG sources in Brazilian soybean biodiesel production system and they can be used to guide mitigation priority for policy and decision-making. Projected scenarios in this study would be taken as references for accounting the environmental sustainability of soybean biodiesel within a domestic and global level.
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- 2017
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12. Correlation of physical and chemical attributes of soil with sugarcane yield
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Domingos Guilherme Pellegrino Cerri and Paulo Sérgio Graziano Magalhães
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Saccharum officinarum ,agricultura de precisão ,amostragem de solo ,variação espacial ,estrutura de variação ,Agriculture (General) ,S1-972 - Abstract
The objective of this work was to evaluate the correlation between sugarcane yield and some physical and chemical attributes of soil. For this, a 42‑ha test area in Araras, SP, Brazil, was used. Soil properties were determined from samples collected at the beginning of the 2003/2004 harvest season, using a regular 100x100 m grid. Yield assessment was done with a yield monitor (Simprocana). Correlation analyses were performed between sugarcane yield and the following soil properties: pH, pH CaCl2, N, C, cone index, clay content, soil organic matter, P, K, Ca, Mg, H+AL, cation exchange capacity, and base saturation. Correlation coefficients were respectively ‑0.05, ‑0.29, 0.33, 0.41, ‑0.27, 0.22, 0.44, ‑0.24, trace, ‑0.06, 0.01, 0.32, 0.14, and 0.04. Correlations of chemical and physical attributes of soil with sugarcane yield are weak, and, per se, they are not able to explain sugarcane yield variation, which suggests that other variables, besides soil attributes, should be analysed.
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- 2012
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13. Análise dos atributos do solo e da produtividade da cultura de cana-de-açúcar com o uso da geoestatística e árvore de decisão Analyze the soil attributes and sugarcane yield culture with the use of geostatistics and decision trees
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Zigomar Menezes de Souza, Domingos Guilherme Pellegrino Cerri, Marcelo José Colet, Luiz Henrique Antunes Rodrigues, Paulo Sérgio Graziano Magalhães, and Rafael Junqueira Araújo Mandoni
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agricultura de precisão ,variabilidade espacial ,mineração de dados ,monitor de produtividade ,precision agriculture ,spatial variability ,data mining ,yield monitor ,Agriculture ,Agriculture (General) ,S1-972 - Abstract
Um dos desafios da agricultura de precisão é oferecer subsídios para a definição de unidades de manejo para posteriores intervenções. Portanto, o objetivo deste trabalho foi avaliar os atributos químicos do solo e a produtividade da cultura de cana-de-açúcar por meio da geoestatística e mineração de dados pela indução da árvore de decisão. A produtividade da cana-de-açúcar foi mapeada em uma área de aproximadamente 23ha, utilizando-se o critério de célula, por meio de um monitor de produtividade que permitiu a elaboração de um mapa digital que representa a superfície de produção para a área em estudo. Para determinar os atributos de um Argissolo Vermelho-Amarelo, foram coletadas as amostras no início da safra 2006/2007, utilizando-se uma grade regular de 50 x 50m, nas profundidades de 0,0-0,2m e 0,2-0,4m. Os dados dos atributos do solo e da produtividade foram analisados por meio da técnica de goestatística e classificados em três níveis de produção para indução de árvore de decisão. A árvore de decisão foi induzida no programa SAS Enterprise Miner, sendo utilizado algoritmo baseado na redução de entropia. As variáveis altitude e potássio apresentaram os maiores valores de correlação com a produtividade de cana-de-açúcar. A indução de árvores de decisão permitiu verificar que a altitude é a variável com maior potencial para interpretar os mapas de produtividade de cana-de-açúcar, auxiliando na agricultura de precisão e mostrando-se uma ferramenta adequada para o estudo de definição de zonas de manejo em área cultivada com essa cultura.One of the challenges of precision agriculture is to offer subsidies for the definition of management units for posterior interventions. Therefore, the objective of this work was to evaluate soil chemical attributes and sugarcane yield with the use of geostatistics and data mining by decision tree induction. Sugarcane yield was mapped in a 23ha field, applying the cell criterion, by using a yield monitor that allowed the elaboration of a digital map representing the surface of production of the studied area. To determine the soil attributes, soil samples were collected at the beginning of the harvest in 2006/2007 using a regular grid of 50 x 50m, in the depths of 0.0-0.2m and 0.2-0.4m. Soil attributes and sugarcane yield data were analyzed by using geostatistics techniques and were classified into three yield levels for the elaboration of the decision tree. The decision tree was induced in the software SAS Enterprise Miner, using an algorithm based on entropy reduction. Altitude and potassium presented the highest values of correlation with sugarcane yield. The induction of decision trees showed that the altitude is the variable with the greatest potential to interpret the sugarcane yield maps, then assisting in precision agriculture and, revealing an adjusted tool for the study of management definition zones in area cropped with sugarcane.
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- 2010
14. Agricultura de precisão em cana-de-açucar
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Cerri, Domingos Guilherme Pellegrino, Magalhães, Paulo Sergio Graziano, 1957, Cappelli, Nelson Luis, Molin, José Paulo, Cora, Jose Eduardo, Carvalho, Jose Ruy Porto de, Universidade Estadual de Campinas. Faculdade de Engenharia Agricola, and UNIVERSIDADE ESTADUAL DE CAMPINAS
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Yield ma ,Precision agriculture ,Solos - Produtividade ,Agricultura - Mapas ,Sugar cane ,Cana-de-açúcar ,Farm machinery ,Máquinas agrícolas - Abstract
Orientador: Paulo Sergio Graziano Magalhaes Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola Resumo: A presente pesquisa visa instrumentar uma colhedora de cana-de-açúcar para obtenção de mapas de produtividade da cultura e ao mesmo tempo, avaliar e correlacionar os atributos físicos e químicos do solo com os dados de produtividade. Os mapas foram elaborados para uma área de 42 ha da Usina São João Açúcar e Álcool localizada em Araras, SP. O sistema de mapeamento de produtividade de cana-de-açúcar desenvolvido (SIMPROCANA) utiliza células de carga como instrumento de determinação do peso do material colhido e é capaz de mensurar o fluxo de rebolos que passa pela esteira antes de serem lançados ao veículo de transbordo. Estes dados, juntamente com as informações obtidas por um Sistema de Posicionamento Global (GPS) instalado na colhedora, permitem, com o auxilio de um Sistema de Informação Geográfica ¿ SIG, a elaboração de mapa digital que representa a superfície de produção para a área colhida. Este sistema foi testado em laboratório e em campo. O SIMPROCANA representou satisfatoriamente a variabilidade espacial da produtividade da cultura. O peso obtido por esse sistema, comparado com o da carga de cana na balança da usina, apresentou um erro médio de 0,96% com um máximo de 6,4%. O resultado deixa de ser satisfatório quando se compara o peso obtido pelo SIMPROCANA com aquele proveniente do transbordo pesado no campo. O erro médio associado nesse caso é aproximadamente dez vezes maior quando se faz a associação com o peso na balança da usina. Os mapas dos atributos físicos e químicos do solo (granulometria, macro e micronutrientes, acidez, densidade e resistência à penetração) foram confeccionados com base em duas amostragens em anos consecutivos. Na primeira, com o auxílio de um veículo amostrador, foram coletadas 170 amostras na área de 42 ha em uma malha regular de 50 x 50 m. Na segunda, coletou-se 49 amostras em malha de 100 x 100 m definida em base nos alcances máximos obtidos pela análise geoestatística da primeira amostragem. Os resultados da primeira amostragem foram correlacionados com a produtividade da cana-de-açúcar obtida pela pesagem dos transbordos em campo. Esse método alternativo de avaliação permitiu a utilização dos resultados da primeira amostragem, uma vez que a colhedora não estava devidamente instrumentada. Os dados da segunda amostragem foram relacionados ao mapa de produtividade obtido pelo SIMPROCANA. Os resultados das análises físicas e químicas usados para a construção dos modelos dos semivariogramas se ajustaram melhor para a malha de 50 x 50 m do que à de 100 x 100 m. As correlações entre produtividade e atributos do solo apresentaram valores baixos. Os maiores índices ocorreram para as variáveis cobre (0,55), altitude (-0,47%) e teor de argila (0,51%). Apesar dessas baixas correlações, foi possível recomendar uma aplicação variada de insumos baseando-se exclusivamente nas informações dos atributos químicos do solo. Simulações mostraram que os custos de aplicação em taxa variada de fertilizantes fosfatados e potássicos são praticamente 50% menores do que o valor calculado para a taxa fixa. Em relação à calagem não houve variação significativa nos custos de aplicação do calcário pelas duas maneiras Abstract: The present research aims to instrument a sugarcane harvester in order to obtain the crop yield maps and, at the same time, evaluate and correlate the physical and chemical attributes of the soil using the yield data. In order to obtain these maps, an area measuring 42 ha located at São João Sugar and Alcohol Mill in Araras, São Paulo, Brazil. The yield mapping system of sugarcane crop developed (SIMPROCANA) uses load cells as an instrument to weighing the harvested material and it is capable to measure the flow passing by the matting before being launched to the transport vehicle. These data, together with the information obtained by a Global Positioning System (GPS) installed on the harvester, allow the elaboration of a digital map with the help of a Geographical Information System - GIS that represents the production on the surface for the harvested area. This system was tested under laboratory and field conditions. SIMPROCANA represented satisfactorily the spatial variability of the crop yield. The weight obtained by this system compared with that of sugarcane load in a mill's scale presented an average error of 0.96%, with a maximum of 6.4%. The result is not satisfactory anymore when it compares the weight obtained by using SIMPROCANA with that from the transportation vehicle weighed in the field. The average error associated in this case is around ten fold higher, when the association with the weight obtained in the mill's scale is performed. In relation to the making of map of physical and chemical attributes of soil (granulometry, macro and micronutrients, acidity, density, and resistance to penetration), two samplings were made in consecutive years. In the first sampling, 170 samples were collected in a 42 ha area in a regular grid of 50 x 50 m, helped by a sampler vehicle. In the second one, 49 samples in a 100 x 100 m grid defined by the maximum reaching obtained by geostatistics analysis performed at the first sampling. The results of the first sampling were correlated with the sugarcane yield obtained by means of weighing the transport vehicle in the field. This alternative method allowed the using of the results from the first sampling once the harvester was not properly instrumented. The data from the second sampling were related to the yield mapping obtained by using SIMPROCANA. The results of the physical and chemical analyses used for the construction of semivariograms models adjusted better at the 50 x 50 m grid when compared to that of 100 x 100 m. the correlations between the yield and the soil attributes presented lower values. The higher indexes occurred for the variable altitudes (- 0.47%), clay rate (0.51%), and copper (0.55). Despite these low correlations, it was possible to recommend a varied rate application of inputs based exclusively on the information obtained from the chemical attributes of the soil. Simulation tests showed that the application costs under a varied rate of phosphated and potash fertilizers are practically half of the value calculated for a fixed rate. In relation to the liming, there was not significative variation in the prices of lime application spread by both methods Doutorado Máquinas Agrícolas Doutor em Máquinas Agrícolas
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- 2021
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15. Analyze the soil attributes and sugarcane yield culture with the use of geostatistics and decision trees/Analise dos atributos do solo e da produtividade da cultura de cana-de-acucar com o uso da geoestatistica e arvore de decisao
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de Souza, Zigomar Menezes, Cerri, Domingos Guilherme Pellegrino, Colet, Marcelo Jose, Rodrigues, Luiz Henrique Antunes, Magalhaes, Paulo Sergio Graziano, and Mandoni, Rafael Junqueira Araujo
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- 2010
16. Antimicrobial Lessons From a Large Observational Cohort on Intra-abdominal Infections in Intensive Care Units
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Vogelaers, Dirk, Blot, Stijn, Van den Berge, Andries, Montravers, Philippe, Francois, Guy, Labeau, Sonia, Blot, Koen, Deschepper, Mieke, Antonelli, Massimo, Lipman, Jeffrey, Lamrous, Amin, Pereyra, Cecilia, Lipovestky, Fernando, Koulenti, Despoina, De Waele, Jan, Rezende-Neto, Joao, Cardenas, Yenny, Vymazal, Tomas, Fjeldsoee-Nielsen, Hans, Kott, Matthias, Kostoula, Arvaniti, Javeri, Yash, Girardis, Massimo, Einav, Sharon, de Lange, Dylan, Makikado, Luis Daniel Umezawa, Mikstacki, Adam, Paiva, José-Artur, Tomescu, Dana, Gritsan, Alexey, Jovanovic, Bojan, Venkatesan, Kumaresh, Mirkovic, Tomislav, Maseda, Emilio, Dikmen, Yalim, Creagh-Brown, Benedict, Emmerich, Monica, Canale, Mariana, Dietz, Lorena Silvina, Ilutovich, Santiago, Miñope, John Thomas Sanchez, Silva, Ramona Baldomera, Montenegro, Martin Alexis, Martin, Patricio, Saul, Pablo, Chediack, Viviana, Sutton, Giselle, Couce, Rocio, Balasini, Carina, Gonzalez, Susana, Lascar, Florencia Maria, Descotte, Emiliano Jorge, Gumiela, Natalia Soledad, Pino, Carina Alejandra, Cesio, Cristian, Valgolio, Emanuel, Cunto, Eleonora, Dominguez, Cecilia, Nelson, Nydia Funes, Abegao, Esteban Martin, Pozo, Norberto Christian, Bianchi, Luciana, Correger, Enrique, Pastorino, Maria Laura, Miyazaki, Erica Aurora, Grubissich, Nicolas, Garcia, Mariel, Bonetto, Natalia, Quevedo, Noelia Elizabeth, Gomez, Cristina Delia, Queti, Felipe, Estevarena, Luis Gonzalez, Fernandez, Ruben, Santolaya, Ignacio, Grangeat, Sergio Hugo, Doglia, Juan, Zakalik, Graciela, Pellegrini, Carlos, Lloria, Maria Monserrat, Chacon, Mercedes Esteban, Fumale, Mariela, Leguizamon, Mariela, Hidalgo, Irene Beatriz, Tiranti, Roberto Julian, Capponi, Paola, Tita, Agustin, Cardonnet, Luis, Bettini, Lisandro, Ramos, Agñel, Lovesio, Luciano, Miranda, Edith Miriam, Farfan, Angelica Beatriz, Tolosa, Carina, Segura, Lise, Bellocchio, Adelina, Alvarez, Brian, Manzur, Adriana, Lujan, Rodolfo, Fernandez, Natalia, Scarone, Nahuel, Zazu, Alan, Groh, Carina, Fletcher, Jason, Smith, Julie, Azad, Raman, Chavan, Nitin, Wong, Helen, Kol, Mark, Campbell, Lewis, Starr, Therese, Roberts, Brigit, Wibrow, Bradley, Warhurst, Timothy, Chinthamuneedi, Meher, Ferney, Bernal Buitrago, Simon, Marc, De Backer, Daniel, Wittebole, Xavier, De Bels, David, Collin, Vincent, Dams, Karolien, Jorens, Philippe, Dubois, Jasperina, Gunst, Jan, Haentjens, Lionel, De Schryver, Nicolas, Dugernier, Thierry, Rizoli, Sandro, Santillan, Paul, Han, Yi, Biskup, Ewelina, Qu, Changjing, Li, Xinyu, Yu, Tao, Weihua, Lu, Molano-Franco, Daniel, Rojas, José, Oviedo, Juan Mauricio Pardo, Pinilla, Dario, Celis, Edgar, Arias, Mario, Vukovic, Anita, Vudrag, Maja, Belavic, Matija, Zunic, Josip, Kuharic, Janja, Kricka, Irena Bozanic, Filipovic-Grcic, Ina, Tomasevic, Boris, Obraz, Melanija, Bodulica, Bruna, Dohnal, Martin, Malaska, Jan, Kratochvil, Milan, Satinsky, Igor, Schwarz, Peter, Kos, Zdenek, Blahut, Ladislav, Maca, Jan, Protus, Marek, Kieslichová, Eva, Nielsen, Louise Gramstrup, Krogh, Birgitte Marianne, Rivadeneira, Francisco, Morales, Freddy, Mora, José, Orozco, Alexandra Saraguro, MorochoTutillo, Diego Rolando, Vargas, Nelson Remache, Yepez, Estuardo Salgado, Villamagua, Boris, Alsisi, Adel, Fahmy, Abdelraouf, Dupont, Hervé, Lasocki, Sigismond, Paugam-Burtz, Catherine, Foucrier, Arnaud, Nica, Alexandru, Barjon, Geneviève, Mallat, Jihad, Marcotte, Guillaume, Leone, Marc, Duclos, Gary, Burtin, Philippe, Atchade, Enora, Mahjoub, Yazine, Misset, Benoît, Timsit, Jean-François, Dupuis, Claire, Veber, Benoît, Debarre, Matthieu, Collange, Oliver, Pottecher, Julien, Hecketsweiler, Stephane, Fromentin, Mélanie, Tesnière, Antoine, Koch, Christian, Sander, Michael, Eckmann, Christian, Elke, Gunnar, Wrigge, Hermann, Simon, Philipp, Chalkiadaki, Anthoula, Tzanidakis, Charalampos, Pneumatikos, Ioannis, Sertaridou, Eleni, Mastora, Zafiria, Pantazopoulos, Ioannis, Papanikolaou, Metaxia, Papavasilopoulou, Theonymfi, Floros, John, Kolonia, Virginia, Dimopoulos, George, Diakaki, Chryssa, Rallis, Michael, Paridou, Alexandra, Kalogeromitros, Alexandros, Romanou, Vasiliki, Nikolaou, Charikleia, Kounougeri, Katerina, Tsigou, Evdoxia, Psallida, Vasiliki, Karampela, Niki, Mandragos, Konstantinos, Kontoudaki, Eftychia, Pentheroudaki, Alexandra, Farazi-Chongouki, Christos, Karakosta, Agathi, Chouris, Isaac, Radu, Vasiliki, Malliotakis, Polychronis, Kokkini, Sofia, Charalambous, Eliana, Kyritsi, Aikaterini, Koulouras, Vasilios, Papathanakos, Georgios, Nagky, Eva, Lampiri, Clairi, Tsimpoukas, Fotios, Sarakatsanos, Ioannis, Georgakopoulos, Panagiotis, Ravani, Ifigeneia, Prekates, Athanasios, Sakellaridis, Konstantinos, Christopoulos, Christos, Vrettou, Efstratia, Stokkos, Konstantinos, Pentari, Anastasia, Arvaniti, Kostoula, Marmanidou, Kyriaki, Kydona, Christina, Tsoumaropoulos, Georgios, Bitzani, Militisa, Kontou, Paschalina, Voudouris, Antonios, Elli-Nikki, [missing], Flioni, [missing], Antypa, Elli, Chasou, Eleftheria, Anisoglou, Souzana, Papageorgiou, Eirini, Paraforou, Theoniki, Tsioka, Agoritsa, Karathanou, Antigoni, Vakalos, Aristeidis, Shah, Bhagyesh, Thakkar, Chirag, Jain, Nikhilesh, Gurjar, Mohan, Baronia, Arvind, Sathe, Prachee, Kulkarni, Shilpa, Paul, Cherish, Paul, John, Masjedi, Mansoor, Nikandish, Reza, Zand, Farid, Sabetian, Golnar, Mahmoodpoor, Ata, Hashemian, Seyed Mohammadreza, Bala, Miklosh, Flocco, Romeo, Torrente, Sergio, Pota, Vincenzo, Spadaro, Savino, Volta, Carlo, Serafini, Giulia, Boraso, Sabrina, Tiberio, Ivo, Cortegiani, Andrea, Misseri, Giovanni, Barbagallo, Maria, Nicolotti, Davide, Forfori, Francesco, Corradi, Francesco, De Pascale, Gennaro, Pelagalli, Lorella, Brazzi, Luca, Vittone, Ferdinando Giorgio, Russo, Alessandro, Simion, Davide, Cotoia, Antonella, Cinnella, Gilda, Toppin, Patrick, Johnson-Jackson, Roxanne, Hayashi, Yoshiro, Yamamoto, Ryohei, Yasuda, Hideto, Kishihara, Yuki, Shiotsuka, Junji, Sanchez-Hurtado, Luis Alejandro, Tejeda-Huezo, Brigitte, Gorordo, Luis, Ñamendys-Silva, Silvio A., Garcia-Guillen, Francisco J., Martinez, Manuel, Romero-Meja, Erick, Colorado-Dominguez, Ever, van den Oever, Huub, Kalff, Karel Martijn, Vermeijden, Wytze, Cornet, Alexander Daniel, Beck, Oliver, Cimic, Nedim, Dormans, Tom, Bormans, Laura, Bakker, Jan, Van Duijn, Ditty, Bosman, Gerrit, Vos, Piet, Haas, Lenneke, Henein, Akram, Miranda, Ariel M., Malca, Gonzalo Ernesto Gianella, Arroyo-Sanchez, Abel, Misiewska-Kaczur, Agnieszka, Akinyi, Frisch, Czuczwar, Miroslaw, Luczak, Karolina, Sulkowski, Wiktor, Tamowicz, Barbara, Swit, Beata, Baranowski, Bronisław, Smuszkiewicz, Piotr, Trojanowska, Iwona, Rzymski, Stanislaw, Sawinski, Mariusz, Trosiak, Marta, Mikaszewska-Sokolewicz, Malgorzata, Alves, Ricardo, Leal, Dina, Krystopchuk, Andriy, Mendonca, Pedro Muguel Hilario, Pereira, Rui Antunes, de Carvalho, Maria Raquel Lopes Marques, Candeias, Carlos, Molinos, Elena, Ferreira, Amélia, Castro, Guiomar, Pereira, José-Manuel, Santos, Lurdes, Ferreira, Alcina, Pascoalinho, Dulce, Ribeiro, Rosa, Domingos, Guilherme, Gomes, Pedro, Nora, David, Costa, Rui Pedro, Santos, Anabela, Alsheikhly, Ahmed Subhy, Popescu, Mihai, Grigoras, Ioana, Patrascanu, Emilia, Zabolotskikh, Igor, Musaeva, Tatiana, Gaigolnik, Denis, Kulabukhov, Vladimir, Belskiy, Vladislav, Zubareva, Nadezhda, Tribulev, Maxim, Abdelsalam, Ahmed, Aldarsani, Ayman, Al-Khalid, Muhammad, Almekhlafi, Ghaleb, Mandourah, Yasser, Doklestic, Krstina, Velickovic, Jelena, Velickovic, Dejan, Jankovic, Radmilo, Skoric-Jokic, Svetlana, Radovanovic, Dragana, Richards, Guy, Alli, Ahmad, Del Carmen Cordoba Nielfa, Maria, Iniesta, Rafael Sánchez, Martínez, Adela Benítez-Cano, Bernedo, Carlos Garcia, Gil, Santiago Alberto Picos, Nuvials, Xavier, Rello, Jordi, Garcia, Joseba Gonzalez, Peña, Jose Manuel Garcia, Jimenez, Roberto, Herrera, Luis, Barrachina, Laura Galarza, Monzon, Ignacio Catalan, Redondo, Francisco Javier, Villazala, Ruben, Zapata, Diego Fernando Matallana, Lopez, Isabel Maria Villa, Moreno-Gonzalez, Gabriel, Lopez-Delgado, Juan Carlos, Marin, Jorge Solera, Sanchez-Zamora, Purificacion, Vidal, Montserrat Vallverdú, González, Jesús Flores, Salinas, Irene, Hermosa, Cecilia, Martinez-Sagasti, Fernando, Domingo-Marín, Sara, Victorino, Johanna Abril, Garcia-Alvarez, Raquel, Calleja, Pablo López-Arcas, de la Torre-Prados, Maria-Victoria, Vidal-Cortes, Pablo, Del Río-Carbajo, Lorena, Izura, Javier, Minguez, Victoria, Alvarez, Josep Trenado, Prous, Anna Parera, Paz, Daniel, Roche-Campo, Ferran, Aguilar, Gerardo, Belda, Javier, Rico-Feijoo, Jesus, Aldecoa, Cesat, Zalba-Etayo, Begoña, Lang, Martin, Dullenkopf, Alexander, Trongtrakul, Konlawij, Chtsomkasem, Anusang, Akbaş, Türkay, Unal, Mustafa Necmettin, Ozcelik, Menekse, Gumus, Ayca, Ramazanoglu, Atilla, Memis, Dilek, Mehmet, Inal, Urkmez, Seval, Ozgultekin, Asu, Demirkiran, Oktay, Aslan, Nesrin Ahu, Kizilaslan, Deniz, Kahveci, Ferda, Ünlü, Nurdan, Ozkan, Zeynep, Kaye, Callum, Jansen, Jan, O’Neill, Orla, Nutt, Christopher, Jha, Rajeev, Hooker, Nicolas, Grecu, Irina, Petridou, Christina, Shyamsundar, Murali, McNamee, Lia, Trinder, John, Hagan, Samantha, Kelly, Catriona, Silversides, Jonathon, Groba, Casiano Barrera, Boyd, Owen, Bhowmick, Kaushik, Humphreys, Sally, Summers, Charlotte, Polgarova, Petra, Margarson, Michael, Dickens, Justin, Pearson, Suzanne, Chinery, Elaine, Hemmings, Noel, O’Kane, Sinead, Austin, Pauline, Cole, Stephen, Plowright, Catherine, Box, Roberta, Wright, Christopher, Young, Lorna, Creagh-Brown, Ben, Montague, Laura, Parker, Robert, Morton, Ben, Ostermann, Marlies, Bilinska, Julia, Rose, Bernd Oliver, Reece-Anthony, Rosie, Ryan, Christine, Hamilton, Mark, Hopkins, Philip, Wendon, Julia, Brescia, Giovanni, Ijaz, Nazia, Wood, James, George, Michelle, Toth-Tarsoly, Piroska, Yates, Bryan, Armstrong, Maureen, Scott, Carmen, Boyd, Christine, Szakmany, Tamas, Rees, David, Pulak, Paul, Coggon, Mandy, Saha, Bhaskar, Kent, Linda, Gibson, Bethan, Camsooksai, Julie, Reschreiter, Henrik, Morgan, Pat, Sangaralingham, Sivatharshini, Lowe, Alastair, Vondras, Petr, Jamadarkhana, Sunil, Cruz, Carina, Bhandary, Rakesh, Hersey, Peter, Furneval, Julie, Innes, Richard, Doble, Patricia, Attwood, Ben, Parsons, Penny, Page, Valerie, Zhao, Xiaobei, Dalton, Julian, Hegazy, Mohammed, Awad, Yasser, Naylor, Douglas, Naylor, Amanda, Lee, Sarah, Brevard, Sidney, Davis, Noelle, for the Abdominal Sepsis Study (‘AbSeS’) Group on behalf of the Trials Group of the European Society of Intensive Care Medicine, [missing], Vogelaers D., Blot S., Van den Berge A., Montravers P., Francois G., Labeau S., Blot K., Deschepper M., Antonelli M., Lipman J., Lamrous A., Pereyra C., Lipovestky F., Koulenti D., De Waele J., Rezende-Neto J., Cardenas Y., Vymazal T., Fjeldsoee-Nielsen H., Kott M., Kostoula A., Javeri Y., Girardis M., Einav S., de Lange D., Makikado L.D.U., Mikstacki A., Paiva J.-A., Tomescu D., Gritsan A., Jovanovic B., Venkatesan K., Mirkovic T., Maseda E., Dikmen Y., Creagh-Brown B., Emmerich M., Canale M., Dietz L.S., Ilutovich S., Minope J.T.S., Silva R.B., Montenegro M.A., Martin P., Saul P., Chediack V., Sutton G., Couce R., Balasini C., Gonzalez S., Lascar F.M., Descotte E.J., Gumiela N.S., Pino C.A., Cesio C., Valgolio E., Cunto E., Dominguez C., Nelson N.F., Abegao E.M., Pozo N.C., Bianchi L., Correger E., Pastorino M.L., Miyazaki E.A., Grubissich N., Garcia M., Bonetto N., Quevedo N.E., Gomez C.D., Queti F., Estevarena L.G., Fernandez R., Santolaya I., Grangeat S.H., Doglia J., Zakalik G., Pellegrini C., Lloria M.M., Chacon M.E., Fumale M., Leguizamon M., Hidalgo I.B., Tiranti R.J., Capponi P., Tita A., Cardonnet L., Bettini L., Ramos A., Lovesio L., Miranda E.M., Farfan A.B., Tolosa C., Segura L., Bellocchio A., Alvarez B., Manzur A., Lujan R., Fernandez N., Scarone N., Zazu A., Groh C., Fletcher J., Smith J., Azad R., Chavan N., Wong H., Kol M., Campbell L., Starr T., Roberts B., Wibrow B., Warhurst T., Chinthamuneedi M., Ferney B.B., Simon M., De Backer D., Wittebole X., De Bels D., Collin V., Dams K., Jorens P., Dubois J., Gunst J., Haentjens L., De Schryver N., Dugernier T., Rizoli S., Santillan P., Han Y., Biskup E., Qu C., Li X., Yu T., Weihua L., Molano-Franco D., Rojas J., Oviedo J.M.P., Pinilla D., Celis E., Arias M., Vukovic A., Vudrag M., Belavic M., Zunic J., Kuharic J., Kricka I.B., Filipovic-Grcic I., Tomasevic B., Obraz M., Bodulica B., Dohnal M., Malaska J., Kratochvil M., Satinsky I., Schwarz P., Kos Z., Blahut L., Maca J., Protus M., Kieslichova E., Nielsen L.G., Krogh B.M., Rivadeneira F., Morales F., Mora J., Orozco A.S., MorochoTutillo D.R., Vargas N.R., Yepez E.S., Villamagua B., Alsisi A., Fahmy A., Dupont H., Lasocki S., Paugam-Burtz C., Foucrier A., Nica A., Barjon G., Mallat J., Marcotte G., Leone M., Duclos G., Burtin P., Atchade E., Mahjoub Y., Misset B., Timsit J.-F., Dupuis C., Veber B., Debarre M., Collange O., Pottecher J., Hecketsweiler S., Fromentin M., Tesniere A., Koch C., Sander M., Eckmann C., Elke G., Wrigge H., Simon P., Chalkiadaki A., Tzanidakis C., Pneumatikos I., Sertaridou E., Mastora Z., Pantazopoulos I., Papanikolaou M., Papavasilopoulou T., Floros J., Kolonia V., Dimopoulos G., Diakaki C., Rallis M., Paridou A., Kalogeromitros A., Romanou V., Nikolaou C., Kounougeri K., Tsigou E., Psallida V., Karampela N., Mandragos K., Kontoudaki E., Pentheroudaki A., Farazi-Chongouki C., Karakosta A., Chouris I., Radu V., Malliotakis P., Kokkini S., Charalambous E., Kyritsi A., Koulouras V., Papathanakos G., Nagky E., Lampiri C., Tsimpoukas F., Sarakatsanos I., Georgakopoulos P., Ravani I., Prekates A., Sakellaridis K., Christopoulos C., Vrettou E., Stokkos K., Pentari A., Arvaniti K., Marmanidou K., Kydona C., Tsoumaropoulos G., Bitzani M., Kontou P., Voudouris A., Elli-Nikki, Flioni, Antypa E., Chasou E., Anisoglou S., Papageorgiou E., Paraforou T., Tsioka A., Karathanou A., Vakalos A., Shah B., Thakkar C., Jain N., Gurjar M., Baronia A., Sathe P., Kulkarni S., Paul C., Paul J., Masjedi M., Nikandish R., Zand F., Sabetian G., Mahmoodpoor A., Hashemian S.M., Bala M., Flocco R., Torrente S., Pota V., Spadaro S., Volta C., Serafini G., Boraso S., Tiberio I., Cortegiani A., Misseri G., Barbagallo M., Nicolotti D., Forfori F., Corradi F., De Pascale G., Pelagalli L., Brazzi L., Vittone F.G., Russo A., Simion D., Cotoia A., Cinnella G., Toppin P., Johnson-Jackson R., Hayashi Y., Yamamoto R., Yasuda H., Kishihara Y., Shiotsuka J., Sanchez-Hurtado L.A., Tejeda-Huezo B., Gorordo L., Namendys-Silva S.A., Garcia-Guillen F.J., Martinez M., Romero-Meja E., Colorado-Dominguez E., van den Oever H., Kalff K.M., Vermeijden W., Cornet A.D., Beck O., Cimic N., Dormans T., Bormans L., Bakker J., Van Duijn D., Bosman G., Vos P., Haas L., Henein A., Miranda A.M., Malca G.E.G., Arroyo-Sanchez A., Misiewska-Kaczur A., Akinyi F., Czuczwar M., Luczak K., Sulkowski W., Tamowicz B., Swit B., Baranowski B., Smuszkiewicz P., Trojanowska I., Rzymski S., Sawinski M., Trosiak M., Mikaszewska-Sokolewicz M., Alves R., Leal D., Krystopchuk A., Mendonca P.M.H., Pereira R.A., de Carvalho M.R.L.M., Candeias C., Molinos E., Ferreira A., Castro G., Pereira J.-M., Santos L., Pascoalinho D., Ribeiro R., Domingos G., Gomes P., Nora D., Costa R.P., Santos A., Alsheikhly A.S., Popescu M., Grigoras I., Patrascanu E., Zabolotskikh I., Musaeva T., Gaigolnik D., Kulabukhov V., Belskiy V., Zubareva N., Tribulev M., Abdelsalam A., Aldarsani A., Al-Khalid M., Almekhlafi G., Mandourah Y., Doklestic K., Velickovic J., Velickovic D., Jankovic R., Skoric-Jokic S., Radovanovic D., Richards G., Alli A., Del Carmen Cordoba Nielfa M., Iniesta R.S., Martinez A.B.-C., Bernedo C.G., Gil S.A.P., Nuvials X., Rello J., Garcia J.G., Pena J.M.G., Jimenez R., Herrera L., Barrachina L.G., Monzon I.C., Redondo F.J., Villazala R., Zapata D.F.M., Lopez I.M.V., Moreno-Gonzalez G., Lopez-Delgado J.C., Marin J.S., Sanchez-Zamora P., Vidal M.V., Gonzalez J.F., Salinas I., Hermosa C., Martinez-Sagasti F., Domingo-Marin S., Victorino J.A., Garcia-Alvarez R., Calleja P.L.-A., de la Torre-Prados M.-V., Vidal-Cortes P., Del Rio-Carbajo L., Izura J., Minguez V., Alvarez J.T., Prous A.P., Paz D., Roche-Campo F., Aguilar G., Belda J., Rico-Feijoo J., Aldecoa C., Zalba-Etayo B., Lang M., Dullenkopf A., Trongtrakul K., Chtsomkasem A., Akbas T., Unal M.N., Ozcelik M., Gumus A., Ramazanoglu A., Memis D., Mehmet I., Urkmez S., Ozgultekin A., Demirkiran O., Aslan N.A., Kizilaslan D., Kahveci F., Unlu N., Ozkan Z., Kaye C., Jansen J., O'Neill O., Nutt C., Jha R., Hooker N., Grecu I., Petridou C., Shyamsundar M., McNamee L., Trinder J., Hagan S., Kelly C., Silversides J., Groba C.B., Boyd O., Bhowmick K., Humphreys S., Summers C., Polgarova P., Margarson M., Dickens J., Pearson S., Chinery E., Hemmings N., O'Kane S., Austin P., Cole S., Plowright C., Box R., Wright C., Young L., Montague L., Parker R., Morton B., Ostermann M., Bilinska J., Rose B.O., Reece-Anthony R., Ryan C., Hamilton M., Hopkins P., Wendon J., Brescia G., Ijaz N., Wood J., George M., Toth-Tarsoly P., Yates B., Armstrong M., Scott C., Boyd C., Szakmany T., Rees D., Pulak P., Coggon M., Saha B., Kent L., Gibson B., Camsooksai J., Reschreiter H., Morgan P., Sangaralingham S., Lowe A., Vondras P., Jamadarkhana S., Cruz C., Bhandary R., Hersey P., Furneval J., Innes R., Doble P., Attwood B., Parsons P., Page V., Zhao X., Dalton J., Hegazy M., Awad Y., Naylor D., Naylor A., Lee S., Brevard S., Davis N., UCL - SSS/IREC/MEDA - Pôle de médecine aiguë, UCL - (SLuc) Service de soins intensifs, Vogelaers, D., Blot, S., Van den Berge, A., Montravers, P., Francois, G., Labeau, S., Blot, K., Deschepper, M., Antonelli, M., Lipman, J., Lamrous, A., Pereyra, C., Lipovestky, F., Koulenti, D., De Waele, J., Rezende-Neto, J., Cardenas, Y., Vymazal, T., Fjeldsoee-Nielsen, H., Kott, M., Kostoula, A., Javeri, Y., Girardis, M., Einav, S., de Lange, D., Makikado, L. D. U., Mikstacki, A., Paiva, J. -A., Tomescu, D., Gritsan, A., Jovanovic, B., Venkatesan, K., Mirkovic, T., Maseda, E., Dikmen, Y., Creagh-Brown, B., Emmerich, M., Canale, M., Dietz, L. S., Ilutovich, S., Minope, J. T. S., Silva, R. B., Montenegro, M. A., Martin, P., Saul, P., Chediack, V., Sutton, G., Couce, R., Balasini, C., Gonzalez, S., Lascar, F. M., Descotte, E. J., Gumiela, N. S., Pino, C. A., Cesio, C., Valgolio, E., Cunto, E., Dominguez, C., Nelson, N. F., Abegao, E. M., Pozo, N. C., Bianchi, L., Correger, E., Pastorino, M. L., Miyazaki, E. A., Grubissich, N., Garcia, M., Bonetto, N., Quevedo, N. E., Gomez, C. D., Queti, F., Estevarena, L. G., Fernandez, R., Santolaya, I., Grangeat, S. H., Doglia, J., Zakalik, G., Pellegrini, C., Lloria, M. M., Chacon, M. E., Fumale, M., Leguizamon, M., Hidalgo, I. B., Tiranti, R. J., Capponi, P., Tita, A., Cardonnet, L., Bettini, L., Ramos, A., Lovesio, L., Miranda, E. M., Farfan, A. B., Tolosa, C., Segura, L., Bellocchio, A., Alvarez, B., Manzur, A., Lujan, R., Fernandez, N., Scarone, N., Zazu, A., Groh, C., Fletcher, J., Smith, J., Azad, R., Chavan, N., Wong, H., Kol, M., Campbell, L., Starr, T., Roberts, B., Wibrow, B., Warhurst, T., Chinthamuneedi, M., Ferney, B. B., Simon, M., De Backer, D., Wittebole, X., De Bels, D., Collin, V., Dams, K., Jorens, P., Dubois, J., Gunst, J., Haentjens, L., De Schryver, N., Dugernier, T., Rizoli, S., Santillan, P., Han, Y., Biskup, E., Qu, C., Li, X., Yu, T., Weihua, L., Molano-Franco, D., Rojas, J., Oviedo, J. M. P., Pinilla, D., Celis, E., Arias, M., Vukovic, A., Vudrag, M., Belavic, M., Zunic, J., Kuharic, J., Kricka, I. B., Filipovic-Grcic, I., Tomasevic, B., Obraz, M., Bodulica, B., Dohnal, M., Malaska, J., Kratochvil, M., Satinsky, I., Schwarz, P., Kos, Z., Blahut, L., Maca, J., Protus, M., Kieslichova, E., Nielsen, L. G., Krogh, B. M., Rivadeneira, F., Morales, F., Mora, J., Orozco, A. S., Morochotutillo, D. R., Vargas, N. R., Yepez, E. S., Villamagua, B., Alsisi, A., Fahmy, A., Dupont, H., Lasocki, S., Paugam-Burtz, C., Foucrier, A., Nica, A., Barjon, G., Mallat, J., Marcotte, G., Leone, M., Duclos, G., Burtin, P., Atchade, E., Mahjoub, Y., Misset, B., Timsit, J. -F., Dupuis, C., Veber, B., Debarre, M., Collange, O., Pottecher, J., Hecketsweiler, S., Fromentin, M., Tesniere, A., Koch, C., Sander, M., Eckmann, C., Elke, G., Wrigge, H., Simon, P., Chalkiadaki, A., Tzanidakis, C., Pneumatikos, I., Sertaridou, E., Mastora, Z., Pantazopoulos, I., Papanikolaou, M., Papavasilopoulou, T., Floros, J., Kolonia, V., Dimopoulos, G., Diakaki, C., Rallis, M., Paridou, A., Kalogeromitros, A., Romanou, V., Nikolaou, C., Kounougeri, K., Tsigou, E., Psallida, V., Karampela, N., Mandragos, K., Kontoudaki, E., Pentheroudaki, A., Farazi-Chongouki, C., Karakosta, A., Chouris, I., Radu, V., Malliotakis, P., Kokkini, S., Charalambous, E., Kyritsi, A., Koulouras, V., Papathanakos, G., Nagky, E., Lampiri, C., Tsimpoukas, F., Sarakatsanos, I., Georgakopoulos, P., Ravani, I., Prekates, A., Sakellaridis, K., Christopoulos, C., Vrettou, E., Stokkos, K., Pentari, A., Arvaniti, K., Marmanidou, K., Kydona, C., Tsoumaropoulos, G., Bitzani, M., Kontou, P., Voudouris, A., Elli-Nikki, Flioni, Antypa, E., Chasou, E., Anisoglou, S., Papageorgiou, E., Paraforou, T., Tsioka, A., Karathanou, A., Vakalos, A., Shah, B., Thakkar, C., Jain, N., Gurjar, M., Baronia, A., Sathe, P., Kulkarni, S., Paul, C., Paul, J., Masjedi, M., Nikandish, R., Zand, F., Sabetian, G., Mahmoodpoor, A., Hashemian, S. M., Bala, M., Flocco, R., Torrente, S., Pota, V., Spadaro, S., Volta, C., Serafini, G., Boraso, S., Tiberio, I., Cortegiani, A., Misseri, G., Barbagallo, M., Nicolotti, D., Forfori, F., Corradi, F., De Pascale, G., Pelagalli, L., Brazzi, L., Vittone, F. G., Russo, A., Simion, D., Cotoia, A., Cinnella, G., Toppin, P., Johnson-Jackson, R., Hayashi, Y., Yamamoto, R., Yasuda, H., Kishihara, Y., Shiotsuka, J., Sanchez-Hurtado, L. A., Tejeda-Huezo, B., Gorordo, L., Namendys-Silva, S. A., Garcia-Guillen, F. J., Martinez, M., Romero-Meja, E., Colorado-Dominguez, E., van den Oever, H., Kalff, K. M., Vermeijden, W., Cornet, A. D., Beck, O., Cimic, N., Dormans, T., Bormans, L., Bakker, J., Van Duijn, D., Bosman, G., Vos, P., Haas, L., Henein, A., Miranda, A. M., Malca, G. E. G., Arroyo-Sanchez, A., Misiewska-Kaczur, A., Akinyi, F., Czuczwar, M., Luczak, K., Sulkowski, W., Tamowicz, B., Swit, B., Baranowski, B., Smuszkiewicz, P., Trojanowska, I., Rzymski, S., Sawinski, M., Trosiak, M., Mikaszewska-Sokolewicz, M., Alves, R., Leal, D., Krystopchuk, A., Mendonca, P. M. H., Pereira, R. A., de Carvalho, M. R. L. M., Candeias, C., Molinos, E., Ferreira, A., Castro, G., Pereira, J. -M., Santos, L., Pascoalinho, D., Ribeiro, R., Domingos, G., Gomes, P., Nora, D., Costa, R. P., Santos, A., Alsheikhly, A. S., Popescu, M., Grigoras, I., Patrascanu, E., Zabolotskikh, I., Musaeva, T., Gaigolnik, D., Kulabukhov, V., Belskiy, V., Zubareva, N., Tribulev, M., Abdelsalam, A., Aldarsani, A., Al-Khalid, M., Almekhlafi, G., Mandourah, Y., Doklestic, K., Velickovic, J., Velickovic, D., Jankovic, R., Skoric-Jokic, S., Radovanovic, D., Richards, G., Alli, A., Del Carmen Cordoba Nielfa, M., Iniesta, R. S., Martinez, A. B. -C., Bernedo, C. G., Gil, S. A. P., Nuvials, X., Rello, J., Garcia, J. G., Pena, J. M. G., Jimenez, R., Herrera, L., Barrachina, L. G., Monzon, I. C., Redondo, F. J., Villazala, R., Zapata, D. F. M., Lopez, I. M. V., Moreno-Gonzalez, G., Lopez-Delgado, J. C., Marin, J. S., Sanchez-Zamora, P., Vidal, M. V., Gonzalez, J. F., Salinas, I., Hermosa, C., Martinez-Sagasti, F., Domingo-Marin, S., Victorino, J. A., Garcia-Alvarez, R., Calleja, P. L. -A., de la Torre-Prados, M. -V., Vidal-Cortes, P., Del Rio-Carbajo, L., Izura, J., Minguez, V., Alvarez, J. T., Prous, A. P., Paz, D., Roche-Campo, F., Aguilar, G., Belda, J., Rico-Feijoo, J., Aldecoa, C., Zalba-Etayo, B., Lang, M., Dullenkopf, A., Trongtrakul, K., Chtsomkasem, A., Akbas, T., Unal, M. N., Ozcelik, M., Gumus, A., Ramazanoglu, A., Memis, D., Mehmet, I., Urkmez, S., Ozgultekin, A., Demirkiran, O., Aslan, N. A., Kizilaslan, D., Kahveci, F., Unlu, N., Ozkan, Z., Kaye, C., Jansen, J., O'Neill, O., Nutt, C., Jha, R., Hooker, N., Grecu, I., Petridou, C., Shyamsundar, M., Mcnamee, L., Trinder, J., Hagan, S., Kelly, C., Silversides, J., Groba, C. B., Boyd, O., Bhowmick, K., Humphreys, S., Summers, C., Polgarova, P., Margarson, M., Dickens, J., Pearson, S., Chinery, E., Hemmings, N., O'Kane, S., Austin, P., Cole, S., Plowright, C., Box, R., Wright, C., Young, L., Montague, L., Parker, R., Morton, B., Ostermann, M., Bilinska, J., Rose, B. O., Reece-Anthony, R., Ryan, C., Hamilton, M., Hopkins, P., Wendon, J., Brescia, G., Ijaz, N., Wood, J., George, M., Toth-Tarsoly, P., Yates, B., Armstrong, M., Scott, C., Boyd, C., Szakmany, T., Rees, D., Pulak, P., Coggon, M., Saha, B., Kent, L., Gibson, B., Camsooksai, J., Reschreiter, H., Morgan, P., Sangaralingham, S., Lowe, A., Vondras, P., Jamadarkhana, S., Cruz, C., Bhandary, R., Hersey, P., Furneval, J., Innes, R., Doble, P., Attwood, B., Parsons, P., Page, V., Zhao, X., Dalton, J., Hegazy, M., Awad, Y., Naylor, D., Naylor, A., Lee, S., Brevard, S., and Davis, N.
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Drug Resistance ,medicine.disease_cause ,Severity of Illness Index ,law.invention ,0302 clinical medicine ,ENTEROBACTERIACEAE ,law ,Drug Resistance, Multiple, Bacterial ,Medicine and Health Sciences ,Pharmacology (medical) ,Cross Infection ,biology ,Bacterial ,Antimicrobial ,Intensive care unit ,Anti-Bacterial Agents ,Community-Acquired Infections ,Europe ,Intensive Care Units ,Critical Illness ,Humans ,Intraabdominal Infections ,Microbial Sensitivity Tests ,Peritonitis ,Sepsis ,ESCHERICHIA-COLI ,030220 oncology & carcinogenesis ,KLEBSIELLA-PNEUMONIAE ,BLOOD-STREAM INFECTIONS ,PYELONEPHRITIS ,Multiple ,medicine.medical_specialty ,Enterococcus faecalis ,NO ,03 medical and health sciences ,Intra‑abdominal Infections ,Antibiotic resistance ,FOOD ,Intensive care ,Internal medicine ,medicine ,FLUOROQUINOLONE RESISTANCE ,Pseudomonas aeruginosa ,business.industry ,Septic shock ,MORTALITY ,biology.organism_classification ,medicine.disease ,RISK-FACTORS ,business ,030217 neurology & neurosurgery ,Enterococcus faecium - Abstract
Severe intra-abdominal infection commonly requires intensive care. Mortality is high and is mainly determined by disease-specific characteristics, i.e. setting of infection onset, anatomical barrier disruption, and severity of disease expression. Recent observations revealed that antimicrobial resistance appears equally common in community-acquired and late-onset hospital-acquired infection. This challenges basic principles in anti-infective therapy guidelines, including the paradigm that pathogens involved in community-acquired infection are covered by standard empiric antimicrobial regimens, and second, the concept of nosocomial acquisition as the main driver for resistance involvement. In this study, we report on resistance profiles of Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Enterococcus faecalis and Enterococcus faecium in distinct European geographic regions based on an observational cohort study on intra-abdominal infections in intensive care unit (ICU) patients. Resistance against aminopenicillins, fluoroquinolones, and third-generation cephalosporins in E. coli, K. pneumoniae and P. aeruginosa is problematic, as is carbapenem-resistance in the latter pathogen. For E. coli and K. pneumoniae, resistance is mainly an issue in Central Europe, Eastern and South-East Europe, and Southern Europe, while resistance in P. aeruginosa is additionally problematic in Western Europe. Vancomycin-resistance in E. faecalis is of lesser concern but requires vigilance in E. faecium in Central and Eastern and South-East Europe. In the subcohort of patients with secondary peritonitis presenting with either sepsis or septic shock, the appropriateness of empiric antimicrobial therapy was not associated with mortality. In contrast, failure of source control was strongly associated with mortality. The relevance of these new insights for future recommendations regarding empiric antimicrobial therapy in intra-abdominal infections is discussed.
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- 2021
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17. Placement of nasogastric tube complicated by hydropneumothorax
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Fonseca, Valter R., Domingos, Guilherme, Alves, Pedro, and Ribeiro, Rosa
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- 2015
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18. Aplicação da metodologia scrum em um estudo de caso de engenharia
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Baldo, Rodrigo Fernando Galzerano, Cerri, Domingos Guilherme Pellegrino, Silva, Alessandro Lucas da, Zuim, Julia Brandino, Mergulhão, Larissa Eichemberguer Martinez, Adolpho, Matheus Normanton, Boschi, Thais Foschini, Garcia, Rhenan Fernandes Hergert, and Favalli, Rafael
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Agile. Project management. Multidisciplinary. Scrum. Kanban ,Ágil. Gerenciamento de projeto. Multidisciplinar. Scrum. Kanban - Abstract
This study aimed to describe the application of Scrum, model of project management, in a development project of a greenhouse for growing vegetables. In this work was used the Scrum model adapted to the educational environment (eduScrum), as a way to better manage the greenhouse development steps. For the execution of the project, we used a cross-functional team, which had expertise in the area of production engineering, manufacturing, mechatronics and agriculture. As a result of the application of Scrum model, one can see that the project was executed within the predetermined time and one of the factors that support for it was the gates system, which allowed greater control of the project. In addition, it was determined, also a set of performance indicators, which assisted in the conduct of the development stages of the greenhouse. Therefore, it was concluded that the Scrum model used was of fundamental importance for the successful outcome of the project. Este trabalho teve por objetivo descrever a aplicação do modelo Scrum, de gerenciamento de projetos, em um projeto de desenvolvimento de uma estufa para hortaliças. Foi utilizado o modelo Scrum adaptado para o ambiente educacional (eduScrum), como forma de melhor gerenciar as etapas de desenvolvimento da estufa. Para a execução do projeto, foi utilizada uma equipe multifuncional, a qual tinha conhecimentos na área de Engenharia de Produção, Manufatura, Mecatrônica e Agrícola. Como resultados da aplicação do modelo Scrum, pode-se observar que o projeto foi executado dentro do tempo pré-determinado e, um dos fatores que corroboraram para isso, foi o sistema de gates, que permitiram o maior controle do projeto. Além disso, foi determinado também, um conjunto de indicadores de desempenho, que auxiliaram na condução das etapas de desenvolvimento da estufa. Portanto, concluiu-se que o modelo Scrum utilizado foi de fundamental importância para o bom resultado do projeto.
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- 2019
19. Guidelines for the recovery of sugarcane straw from the field during harvesting
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Izaias Pinheiro Lisboa, Carlos Eduardo Pellegrino Cerri, Domingos Guilherme Pellegrino Cerri, Maurício Roberto Cherubin, and Carlos Clemente Cerri
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Agricultural machinery ,Renewable Energy, Sustainability and the Environment ,business.industry ,020209 energy ,Forestry ,04 agricultural and veterinary sciences ,02 engineering and technology ,Straw ,Renewable energy ,Agronomy ,Cellulosic ethanol ,Biofuel ,Bioenergy ,040103 agronomy & agriculture ,0202 electrical engineering, electronic engineering, information engineering ,0401 agriculture, forestry, and fisheries ,Environmental science ,PALHAS ,Overall performance ,business ,Waste Management and Disposal ,Agronomy and Crop Science - Abstract
Cellulosic ethanol derived from sugarcane straw may have a significant role to play in the projected increase of Brazilian biofuel production for next years. However, some practical challenges, such as, defining how much and how to recover straw from the field still need to be overcome. Integrated sugarcane harvesting ( i.e . stalks plus straw) with straw separation at the processing site has shown greater cost-effectiveness. However, there is no published procedure to quantify the yield of sugarcane straw, to set up the harvester to collect only a specific portion of this straw or to verify the quantity of straw left in the field. We conducted four field trials in the southeast of Brazil to develop systematic field guidelines that describe how to estimate the yield of sugarcane straw, the harvester setup to vary the amount of straw left in the field and how to evaluate the overall performance of the operation. The results showed that these guidelines were efficient (r 2 ≥ 0.97, p
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- 2017
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20. Access to Intensive Care Unit Care for Elderly Patients with COVID-19 in Portugal
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Cardoso, Filipe S., primary, Borges, André, additional, Botelho, Isabel, additional, Real, André, additional, Araújo, Ana C., additional, Domingos, Guilherme, additional, Pereira, Rui, additional, Moreno, Rui, additional, Bento, Luís, additional, and Germano, Nuno, additional
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- 2020
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21. Assessing the greenhouse gas emissions of Brazilian soybean biodiesel production
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Cindy Silva Moreira, Priscila Aparecida Alves, Carlos Eduardo Pellegrino Cerri, Xin You, Domingos Guilherme Pellegrino Cerri, Guilherme Silva Raucci, Carlos Clemente Cerri, Francisco Fujita de Castro Mello, Maurício Roberto Cherubin, and Bruno de Almeida Castigioni
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Greenhouse Effect ,Life Cycles ,Industrial production ,lcsh:Medicine ,Transportation ,02 engineering and technology ,010501 environmental sciences ,01 natural sciences ,Biochemistry ,Geographical locations ,Environmental protection ,0202 electrical engineering, electronic engineering, information engineering ,Bioenergy ,lcsh:Science ,Greenhouse effect ,Biodiesel ,Multidisciplinary ,Agriculture ,Lipids ,Chemistry ,Biodiesel production ,Physical Sciences ,Engineering and Technology ,Brazil ,Research Article ,020209 energy ,Materials Science ,EFEITO ESTUFA ,Crops ,Fuels ,Diesel fuel ,Materials by Attribute ,0105 earth and related environmental sciences ,lcsh:R ,Chemical Compounds ,Biology and Life Sciences ,South America ,Carbon Dioxide ,Energy and Power ,Carbon neutrality ,Greenhouse gas ,Biofuels ,Sustainability ,Environmental science ,lcsh:Q ,Soybeans ,People and places ,Soybean ,Oils ,Crop Science ,Developmental Biology - Abstract
Soybean biodiesel (B100) has been playing an important role in Brazilian energy matrix towards the national bio-based economy. Greenhouse gas (GHG) emissions is the most widely used indicator for assessing the environmental sustainability of biodiesels and received particular attention among decision makers in business and politics, as well as consumers. Former studies have been mainly focused on the GHG emissions from the soybean cultivation, excluding other stages of the biodiesel production. Here, we present a holistic view of the total GHG emissions in four life cycle stages for soybean biodiesel. The aim of this study was to assess the GHG emissions of Brazilian soybean biodiesel production system with an integrated life cycle approach of four stages: agriculture, extraction, production and distribution. Allocation of mass and energy was applied and special attention was paid to the integrated and non-integrated industrial production chain. The results indicated that the largest source of GHG emissions, among four life cycle stages, is the agricultural stage (42-51%) for B100 produced in integrated systems and the production stage (46-52%) for B100 produced in non-integrated systems. Integration of industrial units resulted in significant reduction in life cycle GHG emissions. Without the consideration of LUC and assuming biogenic CO2 emissions is carbon neutral in our study, the calculated life cycle GHG emissions for domestic soybean biodiesel varied from 23.1 to 25.8 gCO2eq. MJ-1 B100 and those for soybean biodiesel exported to EU ranged from 26.5 to 29.2 gCO2eq. MJ-1 B100, which represent reductions by 65% up to 72% (depending on the delivery route) of GHG emissions compared with the EU benchmark for diesel fuel. Our findings from a life cycle perspective contributed to identify the major GHG sources in Brazilian soybean biodiesel production system and they can be used to guide mitigation priority for policy and decision-making. Projected scenarios in this study would be taken as references for accounting the environmental sustainability of soybean biodiesel within a domestic and global level.
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- 2017
22. Estoques de carbono e nitrogênio no solo devido a mudança do uso da terra em áreas de cultivo de café em minas gerais
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Cerri, Carlos Clemente, Moreira, Cindy Silva, Alves, Priscila Aparecida, Toledo, Fernando Henrique Ribeiro Barrozo, Castigioni, Bruno de Almeida, Rodrigues, Gabriel Augusto de Andrade, Cerri, Domingos Guilherme Pellegrino, Cerri, Carlos Eduardo Pellegrino, Teixeira, Aldir Alves, Candiano, Cesar Augusto C., Reis, Marcio Roberto, D'Alessandro, Sergio Cotrim, and Turello, Luca
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land use change ,soil organic matter ,Cafeicultura ,dinâmica da matéria orgânica do solo ,Coffee production ,mudanças do uso da terra ,nitrogen ,nitrogênio - Abstract
The type of previous land use to the coffee cultivation and the adopted management practices of coffee pruning may affect the dynamics of soil carbon (C) and nitrogen (N). Thus, the aim of this study was to quantify soil C and N stocks in the three main coffee production regions of Minas Gerais State, evaluating different management systems and coffee cultivation time compared to cultivated pastures. For the calculation of C and N stocks, soil samples were collected to determine the content of C and N, in addition to soil density at different depths. Evaluated situations included management of coffee areas with and without pruning, and the type of previous land use to the coffee crop currently in the areas (i.e. pasture or coffee). The results indicated that coffee cultivation under grazing areas along with the adoption of good agricultural practices such as proper management of pruning and good weed control led to the maintenance of soil C and N stocks over time. Through this fact, it is possible to state that coffee cultivation positively affects soil health. O tipo de uso da terra anterior ao plantio de café e o manejo de podas adotado no cafezal podem condicionar a dinâmica do carbono (C) e do nitrogênio (N) no solo. Desta forma, o objetivo neste trabalho foi quantificar os estoques de C e N do solo nas três principais regiões produtoras de café de Minas Gerais, avaliando diferentes sistemas de manejo e cultivo do café em comparação com pastos cultivados. Para o cálculo dos estoques foram coletadas amostras de solo para determinação dos teores de C e N, além da densidade em diferentes profundidades. As avaliações incluem manejo das áreas com e sem podas, e o tipo de uso da terra anterior ao cultivo do café. Os resultados indicam que o cultivo do café sobre áreas de pastagem, com adoção de boas práticas agrícolas como um manejo adequado de podas e bom controle do mato, propicia a manutenção dos estoques de carbono e nitrogênio do solo. Através deste fato pode-se mencionar que a cafeicultura reflete positivamente na saúde do solo.
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- 2017
23. Correlation Between Chemical Soil Attributes and Sugarcane Quality Parameters According to Soil Texture Zones
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Domingos Guilherme Pelegrini Cerri, Paulo Sérgio Graziano Magalhães, Edgar Gomes Ferreira de Beauclair, F. Rodrigues, Henrique Coutinho Junqueira Franco, Universidade Estadual de Campinas (UNICAMP), CTBE, and Universidade Estadual Paulista (Unesp)
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pol ,Brix ,precision agriculture ,business.industry ,Rapid expansion ,Soil texture ,media_common.quotation_subject ,Soil Science ,Geostatistics ,Agronomy ,Nutrient available ,Agriculture ,k-means clustering analysis ,Environmental science ,geostatistics ,Quality (business) ,Precision agriculture ,business ,media_common - Abstract
Made available in DSpace on 2020-12-10T16:36:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-03-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) FINEP (Brazilian Agency of Innovation) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Significant changes in the Brazilian sugarcane agricultural sector have been observed in recent years, with the rapid expansion of planted areas, mainly in the western part of the country. In addition to the enlargement of boundaries and the installation of new industrial units, sugarcane expansion demands the development of new technologies to facilitate better use of the production areas, increase the yield and quality of the sugarcane, and reduce production costs. For that, the adoption of precision agriculture may be an important tool in the management of sugarcane production, which is based on the understanding of the relationship between soil attributes and sugarcane quality. Therein, the objective of this work was to study the Pearson correlation between chemical soil attributes and sugarcane quality parameters based on soil physical zones and to verify the spatial-temporal variability of the quality attributes over time. The work was carried out in an area of 10 ha located in Araras, Sao Paulo, Brazil, from November 2008 to July 2011. Sugarcane quality (Brix, pol, and fiber) was measured in samples collected within a grid of 30 x 30 m (total of 117 sample points) just before harvesting. The soil samples were collected immediately after harvesting in the same grid points. The chemical soil attributes analyzed were macronutrients and micronutrients, and the soil physical attribute was soil texture. The correlations obtained between the sugarcane quality parameters and soil chemical attributes varied from weak (Zn0-0.2: -0.36; Ca0.2-0.5: -0.30 with fiber and soil organic matter (0-0.2): -0.36 with pol) in sandy loam zone at the first year to strong correlations (P0-0.2: 0.77; Ca0-0.2: 0.67 with fiber) in sand clay loam zones at the second year. They also revealed major negative soil property correlations (P, Ca, Mg, sum of base, cation exchange capacity, base saturation) with sugar concentration and positive correlations with fiber. There were no clear patterns of the temporal stability of the quality parameters, which suggests that studies that include more crop cycles are needed. Univ Estadual Campinas, UNICAMP, Sch Agr Engn, Sao Paulo, Brazil CTBE, Brazilian Bioethanol Sci & Technol Lab, Sao Paulo, Brazil Sao Paulo State Univ USP, Sch Agron ESALQ, Sao Paulo, Brazil Sao Paulo State Univ USP, Sch Agron ESALQ, Sao Paulo, Brazil
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- 2013
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24. Alongamento ósseo em cães: osteogénese por distracção com distractor unilateral monoplanar
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Domingos, Guilherme Quintela Martins and Requicha, João Filipe, orient.
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DOGS ,MEDICINA VETERINÁRIA ,CÃES ,VETERINARY SURGERY ,CANIDS ,VETERINÁRIA ,VETERINARY MEDICINE ,OSTEOGÉNESE POR DISTRAÇÃO ,CANÍDEOS ,CIRURGIA VETERINÁRIA ,MESTRADO INTEGRADO EM MEDICINA VETERINÁRIA ,DISTRACTION OSTEOGENESIS - Abstract
A osteogénese por distracção (OD) é uma técnica cirúrgica amplamente usada na cirurgia ortopédica para o tratamento de deformidades e defeitos ósseos. Esta consiste no afastamento gradual de dois segmentos ósseos, previamente submetidos a uma corticotomia e devidamente fixados, formando novo tecido ósseo no espaço entre os dois segmentos. Durante o período de estágio curricular, no Hospital Veterinário de S. Bento em Lisboa, foram efectuados três procedimentos de osteogénese por distracção utilizando um distractor em fibra de carbono unilateral monoplanar. Este estudo pretendeu avaliar a capacidade deste distractor e estabelecer um protocolo de alongamento ósseo aplicável a todos os ossos longos. O protocolo consistiu na corticotomia de baixa energia na região da diáfise, preservando o periósteo, vascularização e envelope de tecidos moles e na aplicação de dois pinos intramedulares em cada segmento ósseo, seguido de um período de latência de 3 dias e posterior aplicação de um índice de distracção (ID) de 1 mm por dia. O modelo foi aplicado em três cães com menos de dois anos idade e que haviam sofrido um encerramento prematuro da placa de crescimento do osso, uma malformação congénita ou uma fractura durante a infância. O período de alongamento e o tecido ósseo regenerado foram avaliados através de radiografia. A duração da fase de distracção e a fase de consolidação foi variável, tendo em média de 2 semanas para a fase de distracção e de 2 meses para a fase de consolidação. Foi possível aplicar o distractor em fibra de carbono e regenerar, com sucesso, tecido ósseo num fémur, numa ulna e em dois rádios. As osteodistracções permitiram uma reabilitação estética e mecânica, atingindo alongamentos relativos de 12,7% de fémur, 6,2% de ulna, 7,1% e 6,6% em dois rádios., Distraction osteogenesis (DO) is a surgical technique widely used in orthopedic surgery for the treatment of various pathological conditions, bone deformities or bone defects. The basic principle consists on the gradual distraction of two bone segments, previously submitted to a corticotomy and promptly fixated. New bone tissue is generated in the gap between the two segments. During the curricular traineeship at Hospital Veterinário de S. Bento in Lisbon, three distraction osteogenesis procedures where performed, utilizing a carbon fiber monoplane unilateral external fixator. This study meant to assess the capacities of the distractor and establish a bone lengthening protocol applicable to all long bones, The protocol consisted in a low energy corticotomy at the bone diaphysis, preserving the periosteum, the vascularization and the surrounding soft tissues and in the appliance of two intramedullary pins to stabilize the bone segments, a 3 day latency period, and usage of a distraction ratio of 1 mm per day. The device was applied in three dogs with less than two years, who suffered a premature closure of the bone’s growth plate, a congenital malformation or a fracture during their infancy. The bone lengthening period and regenerate bone was assessed by radiographs. The duration of the distraction phase and the consolidation phase was variable, but had a mean of 2 weeks for the distraction phase and 2 months for the consolidation phase. The carbon fiber distractor was successfully applied and allowed to regenerate bone in femur, ulna and two radius. The bone distractions allowed a mechanical and aesthetic success, reaching relative lengthenings of 12,7% in the femur, 6,2% in the ulna and 7,1% and 6,6% in the two radius., Orientação: João Filipe Requicha ; co-orientação: Henrique Armés
- Published
- 2017
25. Analyze the soil attributes and sugarcane yield culture with the use of geostatistics and decision trees
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Rafael Junqueira Araújo Mandoni, Domingos Guilherme Pellegrino Cerri, Paulo Sérgio Graziano Magalhães, Luiz Henrique Antunes Rodrigues, Marcelo José Colet, and Zigomar Menezes de Souza
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agricultura de precisão ,precision agriculture ,Soil test ,Decision tree ,Forestry ,data mining ,Geostatistics ,yield monitor ,Altitude ,monitor de produtividade ,Yield (wine) ,variabilidade espacial ,mineração de dados ,spatial variability ,Precision agriculture ,Entropy reduction ,Mathematics - Abstract
Um dos desafios da agricultura de precisão é oferecer subsídios para a definição de unidades de manejo para posteriores intervenções. Portanto, o objetivo deste trabalho foi avaliar os atributos químicos do solo e a produtividade da cultura de cana-de-açúcar por meio da geoestatística e mineração de dados pela indução da árvore de decisão. A produtividade da cana-de-açúcar foi mapeada em uma área de aproximadamente 23ha, utilizando-se o critério de célula, por meio de um monitor de produtividade que permitiu a elaboração de um mapa digital que representa a superfície de produção para a área em estudo. Para determinar os atributos de um Argissolo Vermelho-Amarelo, foram coletadas as amostras no início da safra 2006/2007, utilizando-se uma grade regular de 50 x 50m, nas profundidades de 0,0-0,2m e 0,2-0,4m. Os dados dos atributos do solo e da produtividade foram analisados por meio da técnica de goestatística e classificados em três níveis de produção para indução de árvore de decisão. A árvore de decisão foi induzida no programa SAS Enterprise Miner, sendo utilizado algoritmo baseado na redução de entropia. As variáveis altitude e potássio apresentaram os maiores valores de correlação com a produtividade de cana-de-açúcar. A indução de árvores de decisão permitiu verificar que a altitude é a variável com maior potencial para interpretar os mapas de produtividade de cana-de-açúcar, auxiliando na agricultura de precisão e mostrando-se uma ferramenta adequada para o estudo de definição de zonas de manejo em área cultivada com essa cultura. One of the challenges of precision agriculture is to offer subsidies for the definition of management units for posterior interventions. Therefore, the objective of this work was to evaluate soil chemical attributes and sugarcane yield with the use of geostatistics and data mining by decision tree induction. Sugarcane yield was mapped in a 23ha field, applying the cell criterion, by using a yield monitor that allowed the elaboration of a digital map representing the surface of production of the studied area. To determine the soil attributes, soil samples were collected at the beginning of the harvest in 2006/2007 using a regular grid of 50 x 50m, in the depths of 0.0-0.2m and 0.2-0.4m. Soil attributes and sugarcane yield data were analyzed by using geostatistics techniques and were classified into three yield levels for the elaboration of the decision tree. The decision tree was induced in the software SAS Enterprise Miner, using an algorithm based on entropy reduction. Altitude and potassium presented the highest values of correlation with sugarcane yield. The induction of decision trees showed that the altitude is the variable with the greatest potential to interpret the sugarcane yield maps, then assisting in precision agriculture and, revealing an adjusted tool for the study of management definition zones in area cropped with sugarcane.
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- 2010
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26. Sistema de sincronismo entre a colhedora de cana-de-açúcar e o veículo de transbordo
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Rodrigo Fernando Galzerano Baldo, Paulo Sérgio Graziano Magalhães, and Domingos Guilherme Pellegrino Cerri
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Tractor ,Engineering ,business.product_category ,Elevator ,business.industry ,Sugar cane ,Agricultural engineering ,Synchronism ,business ,Agricultural and Biological Sciences (miscellaneous) ,Simulation ,Synchronization - Abstract
One of the problems found in mechanical harvest of sugar cane is the lack of synchronism between the harvest machine and the infield wagon, causing crop losses as well as operational capacity. The objective of the present research was to design a system capable of helping to synchronize the sugar cane harvest machine with the wagon. The communication between tractor and harvest machine is wireless. Two ultrasound sensors coupled to the elevator and a microprocessor manage such information, generating a correct synchronization among the machines. The system was tested in laboratory and on field performing its function adequately, maintaining the two machines in synchronization, indicating and alerting the operators their relative positions. The developed system reduced the sugar cane lost in 60 kg ha-1 comparing to the harvest with the system turned off.
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- 2008
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27. Ponto nuclear: poder e papel do Estado.
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Domingos, Guilherme Afif, primary
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- 2017
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28. Assessing the greenhouse gas emissions of Brazilian soybean biodiesel production
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Cerri, Carlos Eduardo Pellegrino, primary, You, Xin, additional, Cherubin, Maurício Roberto, additional, Moreira, Cindy Silva, additional, Raucci, Guilherme Silva, additional, Castigioni, Bruno de Almeida, additional, Alves, Priscila Aparecida, additional, Cerri, Domingos Guilherme Pellegrino, additional, Mello, Francisco Fujita de Castro, additional, and Cerri, Carlos Clemente, additional
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- 2017
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29. Estoques de carbono e nitrogênio no solo devido a mudança do uso da terra em áreas de cultivo de café em minas gerais
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Cerri, Carlos Clemente, primary, Moreira, Cindy Silva, additional, Alves, Priscila Aparecida, additional, Toledo, Fernando Henrique Ribeiro Barrozo, additional, Castigioni, Bruno De Almeida, additional, Rodrigues, Gabriel Augusto de Andrade, additional, Cerri, Domingos Guilherme Pellegrino, additional, Cerri, Carlos Eduardo Pellegrino, additional, Teixeira, Aldir Alves, additional, Candiano, Cesar Augusto C., additional, Reis, Marcio Roberto, additional, D'Alessandro, Sergio Cotrim, additional, and Turello, Luca, additional
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- 2017
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30. Yield Monitoring of Sugar Cane
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Paulo Sérgio Graziano Magalhães and Domingos Guilherme Pellegrino Cerri
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Engineering ,business.industry ,Sugar cane ,Mass flow sensor ,Soil Science ,Agricultural engineering ,Biotechnology ,Data acquisition ,Control and Systems Engineering ,Yield (wine) ,Global positioning system receiver ,Precision agriculture ,Sugar ,business ,Agronomy and Crop Science ,Signal interference ,Food Science - Abstract
The main objective of this paper is to present a yield monitor specifically designed for the implementation of precision agriculture in sugar cane crops. The overall system includes a mass flow sensor, a global positioning system receiver, and a data acquisition system. The concept for the sensor is based on the sugar cane yield monitor sensor developed previously at The State University of Campinas. A modified version of the sensor was designed to address the specific needs of a harvesting system, including several sensors to eliminate signal interference, and to monitor the harvesting operation. Field testing of the sugar cane yield monitor system was done during the 2004–2005 harvesting season. The system was mounted on a Case 7700 sugar cane harvester. In order to evaluate the accuracy of the system, each loaded truck was weighed on an electronic platform scale upon arrival at the sugarcane mill. The results showed that the output of the sugar cane yield monitor and the harvested load weight present a correlation of 0·66, and the system performance was stable and reliable during tests. A sugar cane yield map was generated in a 43 ha area plot of a sugar plantation, located in Araras, the state of Sao Paulo, Brazil. The results showed that the yield monitor designed and evaluated is accurate, with a mean error of 4·3% where the maximum error never exceeds 6·4%, and is capable of measuring the yield variability.
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- 2007
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31. Desenvolvimento de um sistema de aplicação localizada de calcário a taxas variáveis
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Domingos Guilherme Pellegrino Cerri, Luiz Antonio Balastreire, Ulisses Rocha Antuniassi, and Walter Francisco Molina Junior
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Environmental science - Abstract
As distribuidoras de calcário convencionais existentes no mercado são projetadas para distribuir o calcário em doses constantes, sem levar em consideração a variabilidade espacial existente no terreno. A presente pesquisa teve como objetivo, projetar e construir um sistema de aplicação localizada de calcário a taxas variáveis. Este sistema, possibilita a distribuição diferenciada de calcário no solo. Isto é possível porque as coordenadas geográficas da distribuidora de calcário são obtidas através do Sistema de Posicionamento Global Diferencial - ("Differential Global Positioning System" - DGPS) e, essas coordenadas, juntamente com as informações de velocidade da máquina e um mapa de prescrição da quantidade de calcário para cada ponto da área, são transferidas para um microcomputador que regula automaticamente a máquina, para aplicar a quantidade adequada de calcário que o terreno deve receber. A distribuição deste insumo no solo foi regulada por um dispositivo dosador, controlado por um motor de passo. Este recebe os impulsos elétricos provenientes de uma interface de potência, controlada pelo microcomputador. A confirmação do posicionamento do dispositivo dosador foi feita através de um sensor potenciométrico. Utilizou-se a linguagem de programação C++ para confeccionar o programa de controle do sistema, o qual foi submetido a ensaios para avaliar sua acurácia. No ensaio para determinação do tempo de resposta pode-se observar que transições de maior dosagem para menor, o tempo de resposta foi menor do que para transições de menor dosagem para maior. Nos ensaios de verificação da quantidade de calcário efetivamente aplicada no solo, o erro observado entre quantidade desejada e a realmente aplicada não ultrapassou 3%. Através dos resultados obtidos nos ensaios, pode-se concluir que o sistema está funcionando de acordo com o proposto. Most of the conventional lime spreaders available in the Brazilian market distribute lime at fixed rates without considering the spatial variability feature of the field. The purpose of this study was to design and build a variable rate lime application system. The developed system calculates the geographic coordinates of the lime spreader position obtained by a Differential Global Positioning System (DGPS). These coordinates, information on the machine speed and a prescription map of the quantity of lime needed for each area within the field are transferred to a computer. The program in the computer automatically adjusts the position of the machine metering device using a step motor driven by electric impulses generated by an electronic interface. The metering device position was checked through potentiometric sensors. The C++ programming language was used to write the control program for the system, which was tested to evaluate its accuracy. The tests demonstrated a shorter response time when changing from larger to smaller application rates than when changing from smaller to larger rates. In the test to verify the amount of lime effectively applied on the soil, the observed error between the desired amount and the real amount applied did not exceed 3%. The results of the tests indicate that the system operates according to the established goals.
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- 2015
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32. [Telemedicine guideline in Patient Care with Acute Coronary Syndrome and Other heart Diseases]
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Mucio Tavares de, Oliveira Junior, Manoel Fernandes, Canesin, Milena Soriano, Marcolino, Antonio Luiz Pinho, Ribeiro, Antonio Carlos de Camargo, Carvalho, Shankar, Reddy, Adson Roberto França dos, Santos, Alfredo Manoel da Silva, Fernandes, Amaury Zatorre, Amaral, Ana Carolina de, Rezende, Antonio, Nechar Junior, Bruno Ramos do, Nascimento, Carlos Alberto, Pastore, Chao Lung, Wen, Danielle Menosi, Gualandro, Domingos Guilherme, Napoli, Francisco Faustino A C, França, Gilson Soares, Feitosa-Filho, Jamil Abdalla, Saad, Jeanne, Pilli, Leonardo Jorge Cordeiro de, Paula, Lucas, Lodi-Junqueira, Luis Antonio Machado, Cesar, Luiz Carlos, Bodanese, Marco Antonio, Gutierrez, Maria Beatriz Moreira, Alkmim, Mauricio Batista, Nunes, Orlando Otávio de, Medeiros, Ramon Alfredo, Moreno, Rosângela Simões, Gundim, Sergio Tavares, Montenegro, and Willyan Issamu, Nazima
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Treatment Outcome ,Cardiovascular Diseases ,Humans ,Acute Coronary Syndrome ,Brazil ,Telemedicine - Published
- 2015
33. APLICAÇÃO DA METODOLOGIA SCRUM EM UM ESTUDO DE CASO DE ENGENHARIA.
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Galzerano Baldo, Rodrigo Fernando, Pellegrino Cerri, Domingos Guilherme, Lucas da Silva, Alessandro, Brandino Zuim, Julia, Martinez Mergulhão, Larissa Eichemberguer, Normanton Adolpho, Matheus, Foschini Boschi, Thais, Hergert Garcia, Rhenan Fernandes, and Favalli, Rafael
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CROSS-functional teams ,PRODUCTION engineering ,SCHOOL environment ,PROJECT management ,KEY performance indicators (Management) ,QUANTUM gates ,GREENHOUSE gardening - Abstract
Copyright of Revista Producao Online is the property of Associacao Brasileira de Engenharia de Producao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
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34. Estoques de carbono e nitrogênio no solo devido a mudança do uso da terra em áreas de cultivo de café em minas gerais
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Sergio Cotrim D'Alessandro, Marcio Reis, Aldir Alves Teixeira, Bruno de Almeida Castigioni, Carlos Clemente Cerri, Fernando H. Toledo, Domingos Guilherme Pellegrino Cerri, Gabriel Augusto de Andrade Rodrigues, Carlos Eduardo Pellegrino Cerri, Luca Turello, Cindy Silva Moreira, Cesar Augusto C. Candiano, and Priscila Aparecida Alves
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040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Soil Science ,04 agricultural and veterinary sciences ,Plant Science ,Food Science - Abstract
O tipo de uso da terra anterior ao plantio de café e o manejo de podas adotado no cafezal podem condicionar a dinâmica do carbono (C) e do nitrogênio (N) no solo. Desta forma, o objetivo neste trabalho foi quantificar os estoques de C e N do solo nas três principais regiões produtoras de café de Minas Gerais, avaliando diferentes sistemas de manejo e cultivo do café em comparação com pastos cultivados. Para o cálculo dos estoques foram coletadas amostras de solo para determinação dos teores de C e N, além da densidade em diferentes profundidades. As avaliações incluem manejo das áreas com e sem podas, e o tipo de uso da terra anterior ao cultivo do café. Os resultados indicam que o cultivo do café sobre áreas de pastagem, com adoção de boas práticas agrícolas como um manejo adequado de podas e bom controle do mato, propicia a manutenção dos estoques de carbono e nitrogênio do solo. Através deste fato pode-se mencionar que a cafeicultura reflete positivamente na saúde do solo.
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- 2017
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35. Torcicolo espasmódico: A propósito de um caso operado
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Domingos Guilherme da Costa
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Published
- 1944
36. Development of a Variable Rate Lime Application System
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Domingos Guilherme Pellegrino Cerri, J.R. Amaral, and Luiz A. Balastreire
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business.industry ,Computer science ,Variable Rate Technology ,engineering.material ,Automotive engineering ,Variable (computer science) ,Position (vector) ,engineering ,Global Positioning System ,Metering mode ,Precision agriculture ,business ,Geographic coordinate system ,Lime - Abstract
Most of the conventional lime spreaders available in the Brazilian market distributelime at a fixed rate without considering the particular features of the field. Thepurpose of this research was to design and build a variable rate lime applicationsystem. The system calculates the geographic coordinates of the lime spreaderposition obtained by a Differential Global Positioning System. These coordinates, theinformation on the machine velocity and a prescription map of the quantity of lime foreach field point, are transferred to a computer. The program in the computerautomatically adjusts the position of the machine metering device using a step motordriven by electric impulses generated by an electronic interface. The metering deviceposition was checked through potentiometric sensors. The C++ programminglanguage was used to write the system’s control program. The metering system wastested and the results indicate that the total error of the opening of the metering deviceis 0.18x10-2± 0.60x10-2m. This can be considered acceptable for lime applicationsystems.
- Published
- 2013
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37. Evaluation of a Light Bar for Parallel Swathing Under Different Forward Speeds
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F.H.R. Baio, J.P. Molin, J.C.D.M. Esquerdo, M.L.C. Rípoli, Domingos Guilherme Pellegrino Cerri, and H.F. Torrezan
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Engineering ,Quality (physics) ,Bar (music) ,business.industry ,Precision agriculture ,business ,Row ,Simulation ,Marine engineering - Abstract
The quality of ground application depends on a correct guidance. An equipment called light bar is replacing conventional guidance methods in parallel swathing. The purpose of this research was to evaluate the guidance accuracy of a Trimble © light bar model under different forward speeds. Results showed that the accuracy of the guiding system obtained with the light bar does not change significantly when the vehicle speed is increased from 1.39 m.s -1 (5.0 km -1 ) to 5.55 m.s -1 (20 km -1 ). Mean errors were similar at different distances between the rows. A 20 m distance was enough to align the vehicle.
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- 2013
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38. Comportamento de ondas de ultrassom na presença de ocos na madeira
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Fernando Augusto Franco Batista, Chiara Barros Secco, Domingos Guilherme Pelegrino Cerri, Érica Caroline Vasques, and Raquel Gonçalves
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Work (thermodynamics) ,Materials science ,Pequiá (Aspidosperma desmanthum) ,Velocity reduction ,Linear model ,Forestry ,Function (mathematics) ,Mechanics ,método acústico ,Space (mathematics) ,percurso da onda ,Transducer ,forest sector ,wave length ,setor florestal ,lcsh:SD1-669.5 ,Ultrasonic sensor ,acoustic method ,lcsh:Forestry ,Reduction (mathematics) - Abstract
This work aimed to analyze the pattern of variation in wave lengths in presence of wood holes and to develop a model capable of describing the process. To attain that end, wood pieces were used from species pequiá (Aspidosperma desmanthum), on which circular and linear artificial holes were made and gradually enlarged. Ultrasonic tests were performed using USLab equipment and 45 kHz transducers. Measurements were taken first on the intact piece and then after each stage of artificial hole enlargement. Results demonstrated that propagation velocities of ultrasonic waves are affected by presence of holes and also that reduction in velocity is caused by changes in wave path, since waves tend to deviate from empty space and travel through matter. The circular hole type had a slightly stronger influence on velocity reduction than the linear hole type. Variation in velocity as a function of increasing percentage of hollow space relative to the intact piece can be represented by a linear model. Neste trabalho, objetivou-se estudar o comportamento da variação do percurso da onda em presença de oco na madeira bem como elaborar um modelo que o descrevesse. Para atingir esse objetivo, foram utilizadas peças de madeira da espécie pequiá (Aspidosperma desmanthum) nos quais foram confeccionados orifícios artificiais (circular e linear). Esses orifícios foram sendo aumentados gradualmente. Os ensaios de ultrassom foram realizados utilizando equipamento da marca USLab e transdutores de 45 kHz. As medições foram realizadas na peça íntegra e após cada fase de confecção do oco artificial. Os resultados permitiram confirmar que as velocidades de propagação de ondas de ultrassom são afetadas pela presença de ocos e que a redução da velocidade é provocada pela mudança de percurso da onda, que tende a se desviar do vazio e percorrer o material. O oco do tipo circular teve influência levemente superior na redução da velocidade do que o oco do tipo linear. A variação da velocidade com o aumento da porcentagem de oco em relação à peça integra pode ser representada por um modelo linear.
- Published
- 2012
39. Correlação de atributos físicos e químicos do solo com a produtividade de cana-de-açúcar
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Paulo Sérgio Graziano Magalhães and Domingos Guilherme Pellegrino Cerri
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agricultura de precisão ,estrutura de variação ,Saccharum officinarum ,precision agriculture ,variation structure ,variação espacial ,Chemistry ,soil sampling ,spatial variation ,lcsh:S1-972 ,Horticulture ,amostragem de solo ,Animal Science and Zoology ,lcsh:Agriculture (General) ,Agronomy and Crop Science - Abstract
The objective of this work was to evaluate the correlation between sugarcane yield and some physical and chemical attributes of soil. For this, a 42‑ha test area in Araras, SP, Brazil, was used. Soil properties were determined from samples collected at the beginning of the 2003/2004 harvest season, using a regular 100x100 m grid. Yield assessment was done with a yield monitor (Simprocana). Correlation analyses were performed between sugarcane yield and the following soil properties: pH, pH CaCl2, N, C, cone index, clay content, soil organic matter, P, K, Ca, Mg, H+AL, cation exchange capacity, and base saturation. Correlation coefficients were respectively ‑0.05, ‑0.29, 0.33, 0.41, ‑0.27, 0.22, 0.44, ‑0.24, trace, ‑0.06, 0.01, 0.32, 0.14, and 0.04. Correlations of chemical and physical attributes of soil with sugarcane yield are weak, and, per se, they are not able to explain sugarcane yield variation, which suggests that other variables, besides soil attributes, should be analysed. O objetivo deste trabalho foi avaliar as correlações entre a produtividade da cana‑de‑açúcar e alguns atributos físicos e químicos do solo. Para isso, uma área de 42 ha, em Araras, SP, foi selecionada. As propriedades do solo foram determinadas a partir de amostras coletadas no início da safra 2003/2004, por meio de uma grade regular de 100x100 m. A produtividade foi avaliada por meio de um monitor de produtividade (Simprocana). Análises de correlação foram realizadas entre a produtividade da cana‑de‑açúcar e as seguintes propriedades do solo: pH, pH CaCl2, N, C, índice de cone, teor de argila, matéria orgânica, P, K, Ca, Mg, H + Al, capacidade de troca catiônica e saturação por bases. Os coeficientes de correlação foram respectivamente de ‑0,05, ‑0,29, 0,33, 0,41, ‑0,27, 0,22, 0,44, ‑0,24, traço, ‑0,06, 0,01, 0,32, 0,14 e 0,04. As correlações de atributos químicos e físicos do solo com a produtividade da cana‑de‑açúcar são baixas, por si mesmas, e não são capazes de explicar a variação na produtividade da cana‑de‑açúcar, o que indica que, além das propriedades do solo, outras variáveis devem ser analisadas.
- Published
- 2012
40. Spatial variability of soil attributes and sugarcane yield in relation to topographic location
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Diego Silva Siqueira, Paulo Sérgio Graziano Magalhães, Domingos Guilherme Pellegrino Cerri, Zigomar Menezes de Souza, Universidade Estadual de Campinas (UNICAMP), Universidade Estadual Paulista (UNESP), and Universidade Estadual Paulista (Unesp)
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Hydrology ,semivariogram ,Environmental Engineering ,precision agriculture ,Soil test ,Soil organic matter ,Soil science ,Geostatistics ,Saccharum sp ,Soil pH ,curvature ,Soil water ,Cation-exchange capacity ,Environmental science ,Spatial variability ,geostatistics ,Soil fertility ,Agronomy and Crop Science - Abstract
Made available in DSpace on 2013-08-12T18:50:06Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-12-01 Made available in DSpace on 2013-09-30T19:18:06Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-12-01 Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-20T15:32:30Z No. of bitstreams: 0 Made available in DSpace on 2014-05-20T15:32:30Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-12-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Financiadora de Estudos e Projetos (FINEP) Soils submitted to the same management system in places with little variation of landscape, manifest differentiated spatial variability of their attributes and crop yield. The aim of this work was to investigate the correlation between spatial variability of the soil attributes and sugarcane yield as a result of soil topography. To achieve this objective, a test area of 42 ha located at the Sao Joao Sugar Mill, in Araras, in the State of São Paulo, Brazil, was selected. Sugarcane yield was measured with a yield monitor fitted in a sugarcane harvester and GPS signal. A total of 170 soil samples were taken at regular 50 m grid, at a depth of 0 - 0.2 m. The area under study was divided into two sites based on topography. The following soil attributes were analysed: organic matter (OM) content, exchangeable potassium (K), calcium (Ca) and magnesium (Mg), their base saturation percentage (%BS), cation exchange capacity (CEC), pH, clay, silt, total sand and density. The use of landscape and geostatistics enable defining areas with different spatial variability in soil attributes and crop yield, providing the visualization and definition of homogeneous management zones. The largest spatial variability of soil attributes and sugarcane yield was in the lowest part of the field. FEAGRI UNICAMP, BR-13083875 Campinas, SP, Brazil FCAV UNESP, BR-14884900 Jaboticabal, SP, Brazil FCAV UNESP, BR-14884900 Jaboticabal, SP, Brazil
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- 2010
41. Reinventando o governo
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Domingos, Guilherme Afif, primary
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- 2015
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42. O aspecto subjetivo dos preços de transferęncia no direito brasileiro e nas convençőes internacionais
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Domingos, Guilherme Moro, Grupenmacher, Betina Treiger, and Universidade Federal do Paraná. Setor de Ciencias Jurídicas.Programa de Pós-Graduaçăo em Direito.
- Abstract
Orientadora : Betina Treiger Grupenmacher Dissertaçăo (mestrado) - Universidade Federal do Paraná, Setor de Cięncias Jurídicas, Programa de Pós-Graduaçăo em Direito. Defesa: Curitiba, 2006 Inclui bibliografia
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- 2006
43. Access to Intensive Care Unit Care for Elderly Patients with COVID-19 in Portugal
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Cardoso, Filipe S., Borges, André, Botelho, Isabel, Real, André, Araújo, Ana C., Domingos, Guilherme, Pereira, Rui, Moreno, Rui, Bento, Luís, and Germano, Nuno
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- 2021
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44. Sugar Cane Yield Monitor
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Domingos Guilherme Pellegrino Cerri and Paulo Sérgio Graziano Magalhães
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Truck ,Engineering ,Scale (ratio) ,business.industry ,Sugar cane ,food and beverages ,Agricultural engineering ,Load cell ,Maximum error ,Horticulture ,Yield (wine) ,Precision agriculture ,Sugar ,business - Abstract
Aiming to contribute for the implementation of Precision Agriculture in sugar cane crop in the Brazilian, the main objective of this research was to generate a yield map of this culture. In order to do that this project involved the design and test of a sugar cane yield monitoring system during 2003 and 2004-harvest seasons. The system was mounted on a CASE 7700 1999 sugar cane combine, and consisted of a scale, a data acquisition system, and a GPS. The scale consisted of a weigh plate supported by load cells. The load cells were supported by a protective box mounted in the frame of the harvester elevator. The scale, which was mounted in the floor of the elevator, directly recorded instantaneous measurements of the sugar cane yield. In order to evaluate the accuracy of the system, later each loaded truck was weighted on an electronic platform scale upon arrival at the sugarcane mill. The weight of each truck was used as the standard. For each test, the scale readings were totaled and compared to the actual yield, which was measured by the weight of each truck. The scale’s average percent error was 0.96 % and the maximum error was 6.4%. A sugar cane yield map was generated in a 43 ha area plot of a sugar plantation, located in Araras, Sao Paulo State, Brazil. The results show that the yield variability in this area is significant.
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- 2005
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45. A constituição, instituições e o ambiente empresarial
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Domingos, Guilherme Afif
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Economia política ,Economia de livre empresa ,Economia de mercado ,Economics ,Direitos individuais ,Direitos e garantias individuais ,Institucionalismo ,Ciência econômica ,Economia ,Direitos coletivos ,Direito de propriedade ,Garantias individuais ,Setor privado ,Garantias dos direitos individuais ,Teoria institucional ,Teoria das instituições ,Iniciativa privada ,Instituição, teoria ,Direitos do cidadão ,Economia livre ,Economia liberal ,Direitos fundamentais ,Garantias constitucionais ,Propriedade (direito civil) ,Atividade comercial ,Garantias fundamentais ,Ciências econômicas ,Empresa - Abstract
Submitted by Ludmylla Matsuura Correa null (lucorrea@stj.jus.br) on 2015-04-07T20:05:48Z No. of bitstreams: 1 constituicao_instituicoes_ambiente_domingos.pdf: 1000464 bytes, checksum: 0d69688e54f0e05d2ce5a702f7ee7fff (MD5) Made available in DSpace on 2015-04-07T20:05:48Z (GMT). No. of bitstreams: 1 constituicao_instituicoes_ambiente_domingos.pdf: 1000464 bytes, checksum: 0d69688e54f0e05d2ce5a702f7ee7fff (MD5) Previous issue date: 2005
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- 2005
46. Applying Sugar Cane Precision Agriculture in Brazil
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Paulo Sérgio Graziano Magalhães and Domingos Guilherme Pellegrino Cerri
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Engineering ,business.industry ,Sugar cane ,Yield (wine) ,Trailer ,Global Positioning System ,Forestry ,Soil properties ,Grid sampling ,Precision agriculture ,Agricultural engineering ,Sugar ,business - Abstract
Aiming to contribute to the implementation of Precision Agriculture in sugar cane crop in Brazil, this project registers two fundamental process: i) to design a sugarcane yield monitor; ii) to map physical and chemical soil attributes. The main objective is to make a correlation with yield data and soil attributes obtained. The system designed uses load cells as a billets weighing instrument set up in the harvester side conveyor before the sugar cane billets are dropped in an in-field trailer. These data together with the geo-referenced position provided by the Differential Global Positioning System (DGPS) set up in the harvester, will allow the elaboration of a digital map, which will represent the yield area. This system is being tested under laboratory conditions for further field tests. The physical and chemical soil attribute maps were obtained using a 50 x 50 m grid sampling, obtained using a undisturbed soil sampler, in a 43 ha area plot of a sugar plantation (Usina Sao Joao), located in Araras, Sao Paulo State, Brazil. The Geostatistic techniques will be used to obtain the soil properties map.
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- 2003
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47. Correlation Between Chemical Soil Attributes and Sugarcane Quality Parameters According to Soil Texture Zones
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Rodrigues, Francelino Augusto, primary, Magalhães, Paulo Sérgio Graziano, additional, Franco, Henrique Coutinho Junqueira, additional, de Beauclair, Edgar Gomes Ferreira, additional, and Cerri, Domingos Guilherme Pelegrini, additional
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- 2013
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48. Behavior of ultrasonic waves in wood with presence of holes
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Secco, Chiara Barros, primary, Gonçalves, Raquel, additional, Cerri, Domingos Guilherme Pelegrino, additional, Vasques, Érica Caroline, additional, and Batista, Fernando Augusto Franco, additional
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- 2012
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49. Correlation of physical and chemical attributes of soil with sugarcane yield
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Cerri, Domingos Guilherme Pellegrino, primary and Magalhães, Paulo Sérgio Graziano, additional
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- 2012
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50. Análise dos atributos do solo e da produtividade da cultura de cana-de-açúcar com o uso da geoestatística e árvore de decisão
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Souza, Zigomar Menezes de, primary, Cerri, Domingos Guilherme Pellegrino, additional, Colet, Marcelo José, additional, Rodrigues, Luiz Henrique Antunes, additional, Magalhães, Paulo Sérgio Graziano, additional, and Mandoni, Rafael Junqueira Araújo, additional
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- 2010
- Full Text
- View/download PDF
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