Search

Your search keyword '"West, Claire"' showing total 157 results
Start Over Author "West, Claire"
157 results on '"West, Claire"'

1. Associations of intraoperative end–tidal CO2 levels with postoperative outcome–secondary analysis of a worldwide observational study

Author

Kroell, Wolfgang, Metzler, Helfried, Struber, Gerd, Wegscheider, Thomas, Gombotz, Hans, Hiesmayr, Michael, Schmid, Werner, Urbanek, Bernhard, Kahn, David, Momeni, Mona, Pospiech, Audrey, Lois, Fernande, Forget, Patrice, Grosu, Irina, Poelaert, Jan, van Mossevelde, Veerle, van Malderen, Marie-Claire, Dylst, Dimitri, van Melkebeek, Jeroen, Beran, Maud, de Hert, Stefan, De Baerdemaeker, Luc, Heyse, Bjorn, Van Limmen, Jurgen, Wyffels, Piet, Jacobs, Tom, Roels, Nathalie, De Bruyne, Ann, van de Velde, Stijn, Leva, Brigitte, Damster, Sandrine, Plichon, Benoit, JurosZovko, Marina, Djonovic-Omanoviċ, Dejana, Pernar, Selma, Zunic, Josip, Miskovic, Petar, Zilic, Antonio, Kvolik, Slavica, Ivic, Dubravka, Azenic-Venzera, Darija, Skiljic, Sonja, Vinkovic, Hrvoje, Oputric, Ivana, Juricic, Kazimir, Frkovic, Vedran, Kopic, Jasminka, Mirkovic, Ivan, Karanovic, Nenad, Carev, Mladen, Dropulic, Natasa, Saric, Jadranka Pavicic, Erceg, Gorjana, Dvorscak, Matea Bogdanovic, Mazul-Sunko, Branka, Pavicic, Anna Marija, Goranovic, Tanja, Maldini, Branka, Radocaj, Tomislav, Gavranovic, Zeljka, Mladic-Batinica, Inga, Sehovic, Mirna, Stourac, Petr, Harazim, Hana, Smekalova, Olga, Kosinova, Martina, Kolacek, Tomas, Hudacek, Kamil, Drab, Michal, Brujevic, Jan, Vitkova, Katerina, Jirmanova, Katerina, Volfova, Ivana, Dzurnakova, Paula, Liskova, Katarina, Dudas, Radovan, Filipsky, Radek, El Kafrawy, Samir, Abdelwahab, Hisham Hosny, Metwally, Tarek, Abdel-Razek, Ahmed, El-Shaarawy, Ahmed Mostafa, Hasan, Wael Fathy, Ahmed, Ahmed Gouda, Yassin, Hany, Magdy, Mohamed, Abdelhady, Mahdy, Mahran, Mohamed, Herodes, Eiko, Kivik, Peeter, Oganjan, Juri, Aun, Annika, Sormus, Alar, Sarapuu, Kaili, Mall, Merilin, Karjagin, Juri, Futier, Emmanuel, Petit, Antoine, Gerard, Adeline, Marret, Emmanuel, Solier, Marc, Jaber, Samir, Prades, Albert, Krassler, Jens, Merzky, Simone, de Abreu, Marcel Gama, Uhlig, Christopher, Kiss, Thomas, Bundy, Anette, Bluth, Thomas, Gueldner, Andreas, Spieth, Peter, Scharffenberg, Martin, Thiem, Denny Tran, Koch, Thea, Treschan, Tanja, Schaefer, Maximilian, Bastin, Bea, Geib, Johann, Weiss, Martin, Kienbaum, Peter, Pannen, Benedikt, Gottschalk, Andre, Konrad, Mirja, Westerheide, Diana, Schwerdtfeger, Ben, Wrigge, Hermann, Simon, Philipp, Reske, Andreas, Nestler, Christian, Valsamidis, Dimitrios, Stroumpoulis, Konstantinos, Antholopoulos, Georgios, Andreou, Antonis, Karapanos, Dimitris, Theodoraki, Kassiani, Gkiokas, Georgios, Tasoulis, Marios-Konstantinos, Sidiropoulou, Tatiana, Zafeiropoulou, Foteini, Florou, Panagiota, Pandazi, Aggeliki, Tsaousi, Georgia, Nouris, Christos, Pourzitaki, Chryssa, Bystritski, Dmitri, Pizov, Reuven, Eden, Arieh, Pesce, Caterina Valeria, Campanile, Annamaria, Marrella, Antonella, Grasso, Salvatore, De Michele, Michele, Bona, Francesco, Giacoletto, Gianmarco, Sardo, Elena, Giancarlo, Luigi, Sottosanti, Vicari, Solca, Maurizio, Volta, Carlo Alberto, Spadaro, Savino, Verri, Marco, Ragazzi, Riccardo, Zoppellari, Roberto, Cinnella, Gilda, Raimondo, Pasquale, La Bella, Daniela, Mirabella, Lucia, D’antini, Davide, Pelosi, Paolo, Molin, Alexandre, Brunetti, Iole, Gratarola, Angelo, Pellerano, Giulia, Sileo, Rosanna, Pezzatto, Stefano, Montagnani, Luca, Pasin, Laura, Landoni, Giovanni, Zangrillo, Alberto, Beretta, Luigi, Di Parma, Ambra Licia, Tarzia, Valentina, Dossi, Roberto, Sassone, Marta Eugenia, Sances, Daniele, Tredici, Stefano, Spano, Gianluca, Castellani, Gianluca, Delunas, Luigi, Peradze, Sopio, Venturino, Marco, Arpino, Ines, Sher, Sara, Tommasino, Concezione, Rapido, Francesca, Morelli, Paola, Vargas, Maria, Servillo, Giuseppe, Cortegiani, Andrea, Raineri, Santi Maurizio, Montalto, Francesca, Russotto, Vincenzo, Giarratano, Antonino, Baciarello, Marco, Generali, Michela, Cerati, Giorgia, Leykin, Yigal, Bressan, Filippo, Bartolini, Vittoria, Zamidei, Lucia, Brazzi, Luca, Liperi, Corrado, Sales, Gabriele, Pistidda, Laura, Severgnini, Paolo, Brugnoni, Elisa, Musella, Giuseppe, Bacuzzi, Alessandro, Muhardri, Dalip, Gecaj-Gashi, Agreta, Sada, Fatos, Bytyqi, Adem, Karbonskiene, Aurika, Aukstakalniene, Ruta, Teberaite, Zivile, Salciute, Erika, Tikuisis, Renatas, Miliauskas, Povilas, Jurate, Sipylaite, Kontrimaviciute, Egle, Tomkute, Gabija, Xuereb, John, Bezzina, Maureen, Borg, Francis Joseph, Hemmes, Sabrine, Schultz, Marcus, Hollmann, Markus, Wiersma, Irene, Binnekade, Jan, Bos, Lieuwe, Boer, Christa, Duvekot, Anne, In’t Veld, Bas, Werger, Alice, Dennesen, Paul, Severijns, Charlotte, De Jong, Jasper, Hering, Jens, van Beek, Rienk, Ivars, Stefan, Jammer, Ib, Breidablik, Alena, Hodt, Katharina Skirstad, Fjellanger, Frode, Avalos, Manuel Vico, MellinOlsen, Jannicke, Andersson, Elisabeth, Shafi-Kabiri, Amir, Molina, Ruby, Wutai, Stanley, Morais, Erick, Tareco, Gloria, Ferreira, Daniel, Amaral, Joana, de Lurdes Goncalves Castro, Maria, Cadilha, Susana, Appleton, Sofia, Parente, Suzana, Correia, Mariana, Martins, Diogo, Monteirosa, Angela, Ricardo, Ana, Rodrigues, Sara, Horhota, Lucian, Grintescu, Ioana Marina, Mirea, Liliana, Grintescu, Ioana Cristina, Corneci, Dan, Negoita, Silvius, Dutu, Madalina, Garotescu, Ioana Popescu, Filipescu, Daniela, Prodan, Alexandru Bogdan, Droc, Gabriela, Fota, Ruxandra, Popescu, Mihai, Tomescu, Dana, Petcu, Ana Maria, Tudoroiu, Marian Irinel, Moise, Alida, Guran, Catalin-Traian, Gherghina, Iorel, Costea, Dan, Cindea, Iulia, Copotoiu, Sanda-Maria, Copotoiu, Ruxandra, Barsan, Victoria, Tolcser, Zsolt, Riciu, Magda, Moldovan, Septimiu Gheorghe, Veres, Mihaly, Gritsan, Alexey, Kapkan, Tatyana, Gritsan, Galina, Korolkov, Oleg, Kulikov, Alexander, Lubnin, Andrey, Ovezov, Alexey, Prokoshev, Pavel, Lugovoy, Alexander, Anipchenko, Natalia, Babayants, Andrey, Komissarova, Irina, Zalina, Karginova, Likhvantsev, Valery, Fedorov, Sergei, Lazukic, Aleksandra, Pejakovic, Jasmina, Mihajlovic, Dunja, Kusnierikova, Zuzana, Zelinkova, Maria, Bruncakova, Katarina, Polakovicova, Lenka, Sobona, Villiam, Novak-Supe, Barbka, Pekle-Golez, Ana, Jovanov, Miroljub, Strazisar, Branka, Markovic-Bozic, Jasmina, Novak-Jankovic, Vesna, Voje, Minca, Grynyuk, Andriy, Kostadinov, Ivan, Spindler-Vesel, Alenka, Moral, Victoria, Unzueta, Mari Carmen, Puigbo, Carlos, Fava, Josep, Canet, Jaume, Moret, Enrique, Nunez, Monicá Rodriguez, Sendra, Mar, Brunelli, Andrea, Rodenas, Frederic, Monedero, Pablo, Martinez, Francisco Hidalgo, Temino, Maria Jose Yepes, Simon, Antonio Martínez, de Abajo Larriba, Ana, Lisi, Alberto, Perez, Gisela, Martinez, Raquel, Granell, Manuel, Vivo, Jose Tatay, Ruiz, Cristina Saiz, de Andrés Ibañez, Jose Antonio, Pastor, Ernesto, Soro, Marina, Ferrando, Carlos, Defez, Mario, Alvares-Santullano, Cesar Aldecoa, Perez, Rocio, Rico, Jesus, Jawad, Monir, Saeed, Yousif, Gillberg, Lars, Bengisun, Zuleyha Kazak, Kazbek, Baturay Kansu, Coskunfirat, Nesil, Boztug, Neval, Sanli, Suat, Yilmaz, Murat, Hadimioglu, Necmiye, Senturk, Nuzhet Mert, Camci, Emre, Kucukgoncu, Semra, Sungur, Zerrin, Sivrikoz, Nukhet, Ozgen, Serpil Ustalar, Toraman, Fevzi, Selvi, Onur, Senturk, Ozgur, Yildiz, Mine, Kuvaki, Bahar, Gunenc, Ferim, Kucukguclu, Semih, Ozbilgin, Şule, Maral, Jale, Canli, Seyda, Arun, Oguzhan, Saltali, Ali, Aydogan, Eyup, Akgun, Fatma Nur, Sanlikarip, Ceren, Karaman, Fatma Mine, Mazur, Andriy, Vorotyntsev, Sergiy, Rousseau, Guy, Barrett, Colin, Stancombe, Lucia, Shelley, Ben, Scholes, Helen, Limb, James, Rafi, Amir, Wayman, Lisa, Deane, Jill, Rogerson, David, Williams, John, Yates, Susan, Rogers, Elaine, Pulletz, Mark, Moreton, Sarah, Jones, Stephanie, Venkatesh, Suresh, Burton, Maudrian, Brown, Lucy, Goodall, Cait, Rucklidge, Matthew, Fuller, Debbie, Nadolski, Maria, Kusre, Sandeep, Lundberg, Michael, Everett, Lynn, Nutt, Helen, Zuleika, Maka, Carvalho, Peter, Clements, Deborah, Creagh-Brown, Ben, Watt, Philip, Raymode, Parizade, Pearse, Rupert, Mohr, Otto, Raj, Ashok, Creary, Thais, Chishti, Ahmed, Bell, Andrea, Higham, Charley, Cain, Alistair, Gibb, Sarah, Mowat, Stephen, Franklin, Danielle, West, Claire, Minto, Gary, Boyd, Nicholas, Mills, Gary, Calton, Emily, Walker, Rachel, Mackenzie, Felicity, Ellison, Branwen, Roberts, Helen, Chikungwa, Moses, Jackson, Clare, Donovan, Andrew, Foot, Jayne, Homan, Elizabeth, Montgomery, Jane, Portch, David, Mercer, Pauline, Palmer, Janet, Paddle, Jonathan, Fouracres, Anna, Datson, Amanda, Andrew, Alyson, Welch, Leanne, Rose, Alastair, Varma, Sandeep, Simeson, Karen, Rambhatla, Mrutyunjaya, Susarla, Jaysimha, Marri, Sudhakar, Kodaganallur, Krishnan, Das, Ashok, Algarsamy, Shivarajan, Colley, Julie, Davies, Simon, Szewczyk, Margaret, Smith, Thomas, Fernandez-Bustamante, Ana, Luzier, Elizabeth, Almagro, Angela, Melo, Marcos Vidal, Fernando, Luiz, Sulemanji, Demet, Sprung, Juraj, Weingarten, Toby, Kor, Daryl, Scavonetto, Federica, Tze, Yeo, Nasa, Prashant, van Meenen, David M.P., Paulus, Frederique, de Abreu, Marcelo Gama, Bossers, Sebastiaan M., Schober, Patrick, Schultz, Marcus J., Neto, Ary Serpa, and Hemmes, Sabrine N.T.

Published
2025
Full Text
View/download PDF

2. Sex dependence of postoperative pulmonary complications – A post hoc unmatched and matched analysis of LAS VEGAS

Author

Kroell, Wolfgang, Metzler, Helfried, Struber, Gerd, Wegscheider, Thomas, Gombotz, Hans, Hiesmayr, Michael, Schmid, Werner, Urbanek, Bernhard, Kahn, David, Momeni, Mona, Pospiech, Audrey, Lois, Fernande, Forget, Patrice, Grosu, Irina, Poelaert, Jan, van Mossevelde, Veerle, van Malderen, Marie-Claire, Dylst, Dimitri, van Melkebeek, Jeroen, Beran, Maud, de Hert, Stefan, De Baerdemaeker, Luc, Heyse, Bjorn, Van Limmen, Jurgen, Wyffels, Piet, Jacobs, Tom, Roels, Nathalie, De Bruyne, Ann, van de Velde, Stijn, Leva, Brigitte, Damster, Sandrine, Plichon, Benoit, Juros-Zovko, Marina, Djonoviċ-Omanoviċ, Dejana, Pernar, Selma, Zunic, Josip, Miskovic, Petar, Zilic, Antonio, Kvolik, Slavica, Ivic, Dubravka, Azenic-Venzera, Darija, Skiljic, Sonja, Vinkovic, Hrvoje, Oputric, Ivana, Juricic, Kazimir, Frkovic, Vedran, Kopic, Jasminka, Mirkovic, Ivan, Karanovic, Nenad, Carev, Mladen, Dropulic, Natasa, Saric, Jadranka Pavicic, Erceg, Gorjana, Dvorscak, Matea Bogdanovic, Mazul-Sunko, Branka, Pavicic, Anna Marija, Goranovic, Tanja, Maldini, Branka, Radocaj, Tomislav, Gavranovic, Zeljka, Mladic-Batinica, Inga, Sehovic, Mirna, Stourac, Petr, Harazim, Hana, Smekalova, Olga, Kosinova, Martina, Kolacek, Tomas, Hudacek, Kamil, Drab, Michal, Brujevic, Jan, Vitkova, Katerina, Jirmanova, Katerina, Volfova, Ivana, Dzurnakova, Paula, Liskova, Katarina, Dudas, Radovan, Filipsky, Radek, el Kafrawy, Samir, Abdelwahab, Hisham Hosny, Metwally, Tarek, Abdel-Razek, Ahmed, El-Shaarawy, Ahmed Mostafa, Hasan, Wael Fathy, Ahmed, Ahmed Gouda, Yassin, Hany, Magdy, Mohamed, Abdelhady, Mahdy, Mahran, Mohamed, Herodes, Eiko, Kivik, Peeter, Oganjan, Juri, Aun, Annika, Sormus, Alar, Sarapuu, Kaili, Mall, Merilin, Karjagin, Juri, Futier, Emmanuel, Petit, Antoine, Gerard, Adeline, Marret, Emmanuel, Solier, Marc, Jaber, Samir, Prades, Albert, Krassler, Jens, Merzky, Simone, de Abreu, Marcel Gama, Uhlig, Christopher, Kiss, Thomas, Bundy, Anette, Bluth, Thomas, Gueldner, Andreas, Spieth, Peter, Scharffenberg, Martin, Thiem, Denny Tran, Koch, Thea, Treschan, Tanja, Schaefer, Maximilian, Bastin, Bea, Geib, Johann, Weiss, Martin, Kienbaum, Peter, Pannen, Benedikt, Gottschalk, Andre, Konrad, Mirja, Westerheide, Diana, Schwerdtfeger, Ben, Wrigge, Hermann, Simon, Philipp, Reske, Andreas, Nestler, Christian, Valsamidis, Dimitrios, Stroumpoulis, Konstantinos, Antholopoulos, Georgios, Andreou, Antonis, Karapanos, Dimitris, Theodoraki, Kassiani, Gkiokas, Georgios, Tasoulis, Marios-Konstantinos, Sidiropoulou, Tatiana, Zafeiropoulou, Foteini, Florou, Panagiota, Pandazi, Aggeliki, Tsaousi, Georgia, Nouris, Christos, Pourzitaki, Chryssa, Bystritski, Dmitri, Pizov, Reuven, Eden, Arieh, Pesce, Caterina Valeria, Campanile, Annamaria, Marrella, Antonella, Grasso, Salvatore, De Michele, Michele, Bona, Francesco, Giacoletto, Gianmarco, Sardo, Elena, Sottosanti, Luigi Giancarlo Vicari, Solca, Maurizio, Volta, Carlo Alberto, Spadaro, Savino, Verri, Marco, Ragazzi, Riccardo, Zoppellari, Roberto, Cinnella, Gilda, Raimondo, Pasquale, La Bella, Daniela, Mirabella, Lucia, D'antini, Davide, Pelosi, Paolo, Molin, Alexandre, Brunetti, Iole, Gratarola, Angelo, Pellerano, Giulia, Sileo, Rosanna, Pezzatto, Stefano, Montagnani, Luca, Pasin, Laura, Landoni, Giovanni, Zangrillo, Alberto, Beretta, Luigi, Di Parma, Ambra Licia, Tarzia, Valentina, Dossi, Roberto, Sassone, Marta Eugenia, Sances, Daniele, Tredici, Stefano, Spano, Gianluca, Castellani, Gianluca, Delunas, Luigi, Peradze, Sopio, Venturino, Marco, Arpino, Ines, Sher, Sara, Tommasino, Concezione, Rapido, Francesca, Morelli, Paola, Vargas, Maria, Servillo, Giuseppe, Cortegiani, Andrea, Raineri, Santi Maurizio, Montalto, Francesca, Russotto, Vincenzo, Giarratano, Antonino, Baciarello, Marco, Generali, Michela, Cerati, Giorgia, Leykin, Yigal, Bressan, Filippo, Bartolini, Vittoria, Zamidei, Lucia, Brazzi, Luca, Liperi, Corrado, Sales, Gabriele, Pistidda, Laura, Severgnini, Paolo, Brugnoni, Elisa, Musella, Giuseppe, Bacuzzi, Alessandro, Muhardri, Dalip, Gecaj-Gashi, Agreta, Sada, Fatos, Bytyqi, Adem, Karbonskiene, Aurika, Aukstakalniene, Ruta, Teberaite, Zivile, Salciute, Erika, Tikuisis, Renatas, Miliauskas, Povilas, Jurate, Sipylaite, Kontrimaviciute, Egle, Tomkute, Gabija, Xuereb, John, Bezzina, Maureen, Borg, Francis Joseph, Hemmes, Sabrine, Schultz, Marcus, Hollmann, Markus, Wiersma, Irene, Binnekade, Jan, Bos, Lieuwe, Nijbroek, Sunny, Boer, Christa, Duvekot, Anne, ’t Veld, Bas in, Werger, Alice, Dennesen, Paul, Severijns, Charlotte, De Jong, Jasper, Hering, Jens, van Beek, Rienk, Ivars, Stefan, Jammer, Ib, Breidablik, Alena, Hodt, Katharina Skirstad, Fjellanger, Frode, Avalos, Manuel Vico, Mellin-Olsen, Jannicke, Andersson, Elisabeth, Shafi-Kabiri, Amir, Molina, Ruby, Wutai, Stanley, Morais, Erick, Tareco, Glória, Ferreira, Daniel, Amaral, Joana, de Lurdes Goncalves Castro, Maria, Cadilha, Susana, Appleton, Sofia, Parente, Suzana, Correia, Mariana, Martins, Diogo, Monteirosa, Angela, Ricardo, Ana, Rodrigues, Sara, Horhota, Lucian, Grintescu, Ioana Marina, Mirea, Liliana, Grintescu, Ioana Cristina, Corneci, Dan, Negoita, Silvius, Dutu, Madalina, Garotescu, Ioana Popescu, Filipescu, Daniela, Prodan, Alexandru Bogdan, Droc, Gabriela, Fota, Ruxandra, Popescu, Mihai, Tomescu, Dana, Petcu, Ana Maria, Tudoroiu, Marian Irinel, Moise, Alida, Guran, Catalin-Traian, Gherghina, Iorel, Costea, Dan, Cindea, Iulia, Copotoiu, Sanda-Maria, Copotoiu, Ruxandra, Barsan, Victoria, Tolcser, Zsolt, Riciu, Magda, Moldovan, Septimiu Gheorghe, Veres, Mihaly, Gritsan, Alexey, Kapkan, Tatyana, Gritsan, Galina, Korolkov, Oleg, Kulikov, Alexander, Lubnin, Andrey, Ovezov, Alexey, Prokoshev, Pavel, Lugovoy, Alexander, Anipchenko, Natalia, Babayants, Andrey, Komissarova, Irina, Zalina, Karginova, Likhvantsev, Valery, Fedorov, Sergei, Lazukic, Aleksandra, Pejakovic, Jasmina, Mihajlovic, Dunja, Kusnierikova, Zuzana, Zelinkova, Maria, Bruncakova, Katarina, Polakovicova, Lenka, Sobona, Villiam, Novak-Supe, Barbka, Pekle-Golez, Ana, Jovanov, Miroljub, Strazisar, Branka, Markovic-Bozic, Jasmina, Novak-Jankovic, Vesna, Voje, Minca, Grynyuk, Andriy, Kostadinov, Ivan, Spindler-Vesel, Alenka, Moral, Victoria, Unzueta, Mari Carmen, Puigbo, Carlos, Fava, Josep, Canet, Jaume, Moret, Enrique, Nunez, Mónica Rodriguez, Sendra, Mar, Brunelli, Andrea, Rodenas, Frederic, Monedero, Pablo, Martinezv, Francisco Hidalgo, Temino, Maria Jose Yepes, Simon, Antonio Martínez, de Abajo Larriba, Ana, Lisi, Alberto, Perez, Gisela, Martinez, Raquel, Granell, Manuel, Vivo, Jose Tatay, Ruiz, Cristina Saiz, de Andrés Ibañez, Jose Antonio, Pastor, Ernesto, Soro, Marina, Ferrando, Carlos, Defez, Mario, Alvares-Santullano, Cesar Aldecoa, Perez, Rocio, Rico, Jesus, Jawad, Monir, Saeed, Yousif, Gillberg, Lars, Hedenstierma, Göran, Bengisun, Zuleyha Kazak, Kazbek, Baturay Kansu, Coskunfirat, Nesil, Boztug, Neval, Sanli, Suat, Yilmaz, Murat, Hadimioglu, Necmiye, Senturk, Nuzhet Mert, Camci, Emre, Kucukgoncu, Semra, Sungur, Zerrin, Sivrikoz, Nukhet, Ozgen, Serpil Ustalar, Toraman, Fevzi, Selvi, Onur, Senturk, Ozgur, Yildiz, Mine, Kuvaki, Bahar, Gunenc, Ferim, Kucukguclu, Semih, Ozbilgin, Şule, Maral, Jale, Canli, Seyda, Arun, Oguzhan, Saltali, Ali, Aydogan, Eyup, Akgun, Fatma Nur, Sanlikarip, Ceren, Karaman, Fatma Mine, Mazur, Andriy, Vorotyntsev, Sergiy, Rousseau, Guy, Barrett, Colin, Stancombe, Lucia, Shelley, Ben, Scholes, Helen, Limb, James, Rafi, Amir, Wayman, Lisa, Deane, Jill, Rogerson, David, Williams, John, Yates, Susan, Rogers, Elaine, Pulletz, Mark, Moreton, Sarah, Jones, Stephanie, Venkatesh, Suresh, Burton, Maudrian, Brown, Lucy, Goodall, Cait, Rucklidge, Matthew, Fuller, Debbie, Nadolski, Maria, Kusre, Sandeep, Lundberg, Michael, Everett, Lynn, Nutt, Helen, Zuleika, Maka, Carvalho, Peter, Clements, Deborah, Creagh-Brown, Ben, Watt, Philip, Raymode, Parizade, Pearse, Rupert, Mohr, Otto, Raj, Ashok, Creary, Thais, Chishti, Ahmed, Bell, Andrea, Higham, Charley, Cain, Alistair, Gibb, Sarah, Mowat, Stephen, Franklin, Danielle, West, Claire, Minto, Gary, Boyd, Nicholas, Mills, Gary, Calton, Emily, Walker, Rachel, Mackenzie, Felicity, Ellison, Branwen, Roberts, Helen, Chikungwa, Moses, Jackson, Clare, Donovan, Andrew, Foot, Jayne, Homan, Elizabeth, Montgomery, Jane, Portch, David, Mercer, Pauline, Palmer, Janet, Paddle, Jonathan, Fouracres, Anna, Datson, Amanda, Andrew, Alyson, Welch, Leanne, Rose, Alastair, Varma, Sandeep, Simeson, Karen, Rambhatla, Mrutyunjaya, Susarla, Jaysimha, Marri, Sudhakar, Kodaganallur, Krishnan, Das, Ashok, Algarsamy, Shivarajan, Colley, Julie, Davies, Simon, Szewczyk, Margaret, Smith, Thomas, Fernandez-Bustamante, Ana, Luzier, Elizabeth, Almagro, Angela, Melo, Marcos Vidal, Fernando, Luiz, Sulemanji, Demet, Sprung, Juraj, Weingarten, Toby, Kor, Daryl, Scavonetto, Federica, Tze, Yeo, Vermeulen, Tom D., Hol, Liselotte, Swart, Pien, Mills, Gary H., Putensen, Christian, Serpa Neto, Ary, Vidal Melo, Marcos F., Hollmann, Markus W., Gama de Abreu, Marcelo, Schultz, Marcus J., Hemmes, Sabrine N., and van Meenen, David M.

Published
2024
Full Text
View/download PDF

3. Wavelength-dependent photothermal imaging probes nanoscale temperature differences among sub-diffraction coupled plasmonic nanorods

Author

Jebeli, Seyyed Ali Hosseini, West, Claire A., Lee, Stephen A., Goldwyn, Harrison J., Bilchak, Connor R., Fakhraai, Zahra, Willets, Katherine A., Link, Stephan, and Masiello, David J.

Subjects
Physics - Optics
Abstract

While the thermal and electromagnetic properties of plasmonic nanostructures are well understood, nanoscale thermometry still presents an experimental and theoretical challenge. Plasmonic structures can confine electromagnetic energy at the nanoscale, resulting in local, inhomogeneous, controllable heating. But reading out the temperature with nanoscale precision using optical techniques poses a difficult challenge. Here we report on the optical thermometry of individual gold nanorod trimers that exhibit multiple wavelength-dependent plasmon modes resulting in measurably different local temperature distributions. Specifically, we demonstrate how photothermal microscopy encodes different wavelength-dependent temperature profiles in the asymmetry of the photothermal image point spread function. These point spread function asymmetries are interpreted through companion numerical simulations of the photothermal images to reveal how differing thermal gradients within the nanorod trimer can be controlled by exciting its hybridized plasmonic modes. We also find that hybrid plasmon modes that are optically dark can be excited by our focused laser beam illumination geometry at certain beam positions, thereby providing an additional route to modify thermal profiles at the nanoscale beyond wide-field illumination. Taken together these findings demonstrate an all-optical thermometry technique to actively create and measure thermal gradients at the nanoscale below the diffraction limit.

Published
2021

7. Effects of an Increased Financial Incentive on Follow-up in an Online, Automated Smoking Cessation Trial: A randomized Controlled Study Within a Trial.

Author

High, Juliet, Grant, Kelly, Hope, Aimie, Shepstone, Lee, West, Claire, Colles, Antony, and Naughton, Felix

Subjects
SMOKING cessation, MONETARY incentives, STATISTICAL power analysis, HEART sounds, MOBILE apps, RESPONSE rates
Abstract

Introduction Poor retention in clinical trials can impact on statistical power, reliability, validity, and generalizability of findings and is a particular challenge in smoking cessation studies. In online trials with automated follow-up mechanisms, poor response also increases the resource need for manual follow-up. This study compared two financial incentives on response rates at 6 months follow up, in an online, automated smoking cessation feasibility trial of a cessation smartphone app (Quit Sense). Aims and Methods A study within a trial (SWAT), embedded within a host randomized controlled trial. Host trial participants were randomized 1:1 to receive either a £10 or £20 voucher incentive, for completing the 6-month questionnaire. Stratification for randomization to the SWAT was by minimization to ensure an even split of host trial arm participants and by 6-week response rate. Outcome measures were: Questionnaire completion rate, time to completion, number of completers requiring manual follow-up, and completeness of responses. Results Two hundred and four participants were randomized to the SWAT. The £20 and £10 incentives did not differ in completion rate at 6 months (79% vs. 74%; p  = .362) but did reduce the proportion of participants requiring manual follow-up (46% vs. 62%; p  = .018) and the median completion time (7 days vs. 15 days; p  = .008). Measure response completeness rates were higher among £20 incentive participants, though differences were small for the host trial's primary smoking outcome. Conclusions Benefits to using relatively modest increases in incentive for online smoking cessation trials include more rapid completion of follow-up questionnaires and reduced manual follow-up. Implications A modest increase in incentive (from £10 to £20) to promote the completion of follow-up questionnaires in online smoking cessation trials may not increase overall response rates but could lead to more rapid data collection, a reduced need for manual follow-up and reduced missing data among those who initiate completing a questionnaire. Such an improvement may help to reduce bias, increase validity and generalizability, and improve statistical power in smoking cessation trials. Trial Registration Host trial ISRCTN12326962, SWAT repository store ID 164. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

12. Nonlinear effects in single-particle photothermal imaging.

Author

West, Claire A., Lee, Stephen A., Shooter, Jesse, Searles, Emily K., Goldwyn, Harrison J., Willets, Katherine A., Link, Stephan, and Masiello, David J.

Subjects
*SCATTERING (Physics), *PHOTOTHERMAL effect, *GOLD nanoparticles, *LIGHT scattering, *ABSORPTION spectra, *NANOPARTICLES
Abstract

Although photothermal imaging was originally designed to detect individual molecules that do not emit or small nanoparticles that do not scatter, the technique is now being applied to image and spectroscopically characterize larger and more sophisticated nanoparticle structures that scatter light strongly. Extending photothermal measurements into this regime, however, requires revisiting fundamental assumptions made in the interpretation of the signal. Herein, we present a theoretical analysis of the wavelength-resolved photothermal image and its extension to the large particle scattering regime, where we find the photothermal signal to inherit a nonlinear dependence upon pump intensity, together with a contraction of the full-width-at-half-maximum of its point spread function. We further analyze theoretically the extent to which photothermal spectra can be interpreted as an absorption spectrum measure, with deviations between the two becoming more prominent with increasing pump intensities. Companion experiments on individual 10, 20, and 100 nm radius gold nanoparticles evidence the predicted nonlinear pump power dependence and image contraction, verifying the theory and demonstrating new aspects of photothermal imaging relevant to a broader class of targets. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

14. A smoking cessation smartphone app that delivers real-time 'context aware' behavioural support: the Quit Sense feasibility RCT.

Author

Naughton, Felix, Hope, Aimie, Siegele-Brown, Chloë, Grant, Kelly, Notley, Caitlin, Colles, Antony, West, Claire, Mascolo, Cecilia, Coleman, Tim, Barton, Garry, Shepstone, Lee, Prevost, Toby, Sutton, Stephen, Crane, David, Greaves, Felix, and High, Juliet

Subjects
SMOKING cessation, SMARTPHONES, MOBILE apps, ACQUISITION of data
Abstract

Background: During a quit attempt, cues from a smoker's environment are a major cause of brief smoking lapses, which increase the risk of relapse. Quit Sense is a theory-guided Just-In-Time Adaptive Intervention smartphone app, providing smokers with the means to learn about their environmental smoking cues and provides 'in the moment' support to help them manage these during a quit attempt. Objective: To undertake a feasibility randomised controlled trial to estimate key parameters to inform a definitive randomised controlled trial of Quit Sense. Design: A parallel, two-arm randomised controlled trial with a qualitative process evaluation and a 'Study Within A Trial' evaluating incentives on attrition. The research team were blind to allocation except for the study statistician, database developers and lead researcher. Participants were not blind to allocation. Setting: Online with recruitment, enrolment, randomisation and data collection (excluding manual telephone follow-up) automated through the study website. Participants: Smokers (323 screened, 297 eligible, 209 enrolled) recruited via online adverts on Google search, Facebook and Instagram. Interventions: Participants were allocated to 'usual care' arm (n = 105; text message referral to the National Health Service SmokeFree website) or 'usual care' plus Quit Sense (n = 104), via a text message invitation to install the Quit Sense app. Main outcome measures: Follow-up at 6 weeks and 6 months post enrolment was undertaken by automated text messages with an online questionnaire link and, for non-responders, by telephone. Definitive trial progression criteria were met if a priori thresholds were included in or lower than the 95% confidence interval of the estimate. Measures included health economic and outcome data completion rates (progression criterion #1 threshold: ≥ 70%), including biochemical validation rates (progression criterion #2 threshold: ≥ 70%), recruitment costs, app installation (progression criterion #3 threshold: ≥ 70%) and engagement rates (progression criterion #4 threshold: ≥ 60%), biochemically verified 6-month abstinence and hypothesised mechanisms of action and participant views of the app (qualitative). Results: Self-reported smoking outcome completion rates were 77% (95% confidence interval 71% to 82%) and health economic data (resource use and quality of life) 70% (95% CI 64% to 77%) at 6 months. Return rate of viable saliva samples for abstinence verification was 39% (95% CI 24% to 54%). The per-participant recruitment cost was £19.20, which included advert (£5.82) and running costs (£13.38). In the Quit Sense arm, 75% (95% CI 67% to 83%; 78/104) installed the app and, of these, 100% set a quit date within the app and 51% engaged with it for more than 1 week. The rate of 6-month biochemically verified sustained abstinence, which we anticipated would be used as a primary outcome in a future study, was 11.5% (12/104) in the Quit Sense arm and 2.9% (3/105) in the usual care arm (estimated effect size: adjusted odds ratio = 4.57, 95% CIs 1.23 to 16.94). There was no evidence of between-arm differences in hypothesised mechanisms of action. Three out of four progression criteria were met. The Study Within A Trial analysis found a £20 versus £10 incentive did not significantly increase follow-up rates though reduced the need for manual follow-up and increased response speed. The process evaluation identified several potential pathways to abstinence for Quit Sense, factors which led to disengagement with the app, and app improvement suggestions. Limitations: Biochemical validation rates were lower than anticipated and imbalanced between arms. COVID-19-related restrictions likely limited opportunities for Quit Sense to provide location tailored support. Conclusions: The trial design and procedures demonstrated feasibility and evidence was generated supporting the efficacy potential of Quit Sense. Future work: Progression to a definitive trial is warranted providing improved biochemical validation rates. Trial registration: This trial is registered as ISRCTN12326962. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme (NIHR award ref: 17/92/31) and is published in full in Public Health Research; Vol. 12, No. 4. See the NIHR Funding and Awards website for further award information. Plain language summary: Smokers often fail to quit because of urges to smoke triggered by their surroundings (e.g. being around smokers). We developed a smartphone app ('Quit Sense') which learns about an individual's surroundings and locations where they smoke. During a quit attempt, Quit Sense uses in-built sensors to identify when smokers are in those locations and sends 'in the moment' advice to help prevent them from smoking. We ran a feasibility study to help plan for a future large study to see if Quit Sense helps smokers to quit. This feasibility study was designed to tell us how many participants complete study measures; recruitment costs; how many participants install and use Quit Sense; and estimate whether Quit Sense may help smokers to stop and how it might do this. We recruited 209 smokers using online adverts on Google search, Facebook and Instagram, costing £19 per participant. Participants then had an equal chance of receiving a web link to the National Health Service SmokeFree website ('usual care group') or receive that same web link plus a link to the Quit Sense app ('Quit Sense group'). Three-quarters of the Quit Sense group installed the app on their phone and half of these used the app for more than 1 week. We followed up 77% of participants at 6 months to collect study data, though only 39% of quitters returned a saliva sample for abstinence verification. At 6 months, more people in the Quit Sense group had stopped smoking (12%) than the usual care group (3%). It was not clear how the app helped smokers to quit based on study measures, though interviews found that the process of training the app helped people quit through learning about what triggered their smoking behaviour. The findings support undertaking a large study to tell us whether Quit Sense really does help smokers to quit. Scientific summary: Background: Three million UK smokers attempt to stop smoking each year, but over 80% relapse. A lapse (any smoking) early on in a quit attempt is strongly associated with subsequent relapse back to smoking. Approximately half of all lapses are due to environmental smoking cues which can elicit cravings to smoke, such as the presence of cigarettes or being in a location which a smoker associates with smoking. Few interventions are effective at targeting cue-induced cravings. Smokers are more likely to prevent lapses if they better understand their smoking cues and use lapse prevention strategies, such as controlled deep breathing or avoiding other smokers, to combat these. This would likely help them avoid or cope with cue-induced cravings, but smokers typically lack skills in applying these effectively. If smokers trying to quit used effective lapse prevention strategies, this would very likely increase their chances of success. With patient and public involvement, we developed, refined and piloted a theory-guided Just-In-Time Adaptive Intervention smartphone app called Quit Sense that provides support to help smokers manage environmental cues to smoke as they arise. Pilot studies have shown that Quit Sense can provide 'in the moment' support to smokers, including lapse prevention strategies, and that users will engage with the app and find it acceptable. As Quit Sense is such a novel intervention, before a 'definitive' randomised controlled trial (RCT) can be conducted to test effectiveness, it is important to first undertake a RCT to establish whether such a study might be feasible. Objectives: The main objective was to conduct a feasibility RCT of Quit Sense to inform a definitive effectiveness trial, by estimating: completion rates for the anticipated primary outcome for a full trial (6-month self-reported abstinence with biochemical validation, based on the Russell standard); usual care arm cessation rate; cost of recruitment using online advertising; rates of app installation, use and acceptability; completion of smoking cessation-related resource use and quality-of-life data; intervention effect on anticipated primary outcome; intervention effect on hypothesised mechanisms of action of app at 6 weeks post enrolment; participant views of the app, as part of a qualitative process evaluation. Design: A parallel, two-arm RCT with an embedded qualitative interview process evaluation was undertaken. The evaluation included a preliminary cost-effectiveness analysis and a nested randomised study [Study Within A Trial (SWAT)] assessing the effects of different financial incentives on 6-month follow-up rates. Setting: The study setting was online and trial procedures were primarily automated. Participants: Participants were recruited via online adverts on Google search, Facebook and Instagram, screened for eligibility on the study website and enrolled if they were regular smokers, aged 16 years and above, were willing to make a quit attempt and owned an Android smartphone. Interventions: After completing the baseline questionnaire participants were then randomly allocated to a 'usual care' arm (text message referral to NHS SmokeFree website) or a 'usual care' plus Quit Sense arm, via a text message invitation to install the Quit Sense app. The Quit Sense app required users to set a quit date and then, leading up to their quit date, alongside other support features, invited them to report their smoking in real time and indicate the presence of key environmental smoking cues using a smoking behaviour logging tool. Once their quit date arrived, the app used location sensing and what it had learnt about the individual's smoking behaviour to tailor the timing and content of support messages when they spent time in self-identified high-risk locations. The support and advice aimed to help smokers learn about their smoking behaviour, prepare for their quit attempt and promoted the use of effective lapse prevention strategies during their quit attempt. Main outcomes measures: All participants were contacted at 6-week and 6-month follow-up. This was done initially by text message with an embedded link to the follow-up questionnaires or, if no response, manually by telephone. As part of a SWAT , participants underwent secondary randomisation to receive either a £10 or £20 incentive for completion of the 6-month questionnaire. Four progression criteria and corresponding thresholds for seeking to undertake a definitive trial were set a priori. Criteria were met if each threshold was included in or lower than the 95% confidence interval (CI) of the estimate. Trial measures included health economic and outcome data completion rates (progression criterion #1 threshold: ≥ 70%), including biochemical validation rates (progression criterion #2 threshold: ≥ 70%), recruitment costs, app installation (progression criterion #3 threshold: ≥ 70%) and engagement rates (progression criterion #4 threshold: ≥ 60%), the app's effect on biochemically verified abstinence at 6 months (anticipated primary outcome of definitive trial) and hypothesised mechanisms of action. The qualitative process evaluation sought to identify participants' views of the trial and the Quit Sense app. The protocol and statistical and health economics analysis plan were pre-specified and published (open access). Results: Of the people screened (N = 323), 299 (93%) were eligible and 209 (65% of screened) were consented and randomised either to the usual care arm (n = 105) or to the Quit Sense arm (n = 104). Completion of self-reported smoking questions was 71% (149/209; 95% CI 65% to 77%) and 77% (160/209; 95% CI 71% to 82%) at 6 weeks and 6 months, respectively, and at 6 months 70% provided both cessation support resource use data and EuroQol-5 Dimensions five level (EQ-5D-5L) data. Among those self-reporting abstinence at 6 months follow-up, 39% (95% CI 24% to 54%) returned a viable sample for biochemical verification, although return rates were higher in the Quit Sense than the usual care arm (52% vs. 19%). Online recruitment was completed successfully within the planned 6-week period, split into two campaigns, with a per-participant cost of £19.20, split into advert (£5.82) and running costs (£13.38). In the Quit Sense arm, 75% (95% CI 67% to 83%) of participants installed the app and, of these, 100% set a quit date within the app and 51% (95% CI 39% to 63%) engaged with it for more than 1 week. At final follow-up, the rate of 6-month biochemically verified sustained abstinence, which we anticipated would be used as a primary outcome in a future study, was 11.5% (12/104) in the Quit Sense arm and 2.9% (3/105) in the usual care arm (estimated effect size: adjusted odds ratio = 4.57, 95% CI 1.23 to 16.94). Similar effects were observed for biochemically verified secondary abstinence outcomes at 6-month follow-up and sensitivity analyses. Effect sizes were smaller and non-significant for self-report only abstinence and there was no evidence of a between-arm difference in abstinence at 6-week follow-up. Participants in the Quit Sense arm had higher rates of lapse avoidance in the first 2 weeks of their quit attempt or post enrolment compared to usual care though this was not statistically significant (29.6% vs. 19.2%; p = 0.14). There was no evidence of between-arm differences in hypothesised mechanisms of action of the app, including the mean frequency of lapse prevention strategy use [mean difference (MD) −0.07; p = 0.46], smoking cessation self-efficacy (MD 0.18; p = 0.39), strength (p = 0.23) and frequency (p = 0.83) of urges to smoke or the Wisconsin Inventory of Smoking Dependence Motives subscales of automaticity (p = 0.51) and associative processes (p = 0.58). The qualitative process evaluation identified several potential pathways to abstinence among Quit Sense arm participants. Interviewed participants reported finding the insights gained from engaging with the smoking behaviour learning tool before their quit attempt started particularly valuable. They reported that this reinforced their commitment to quit, helped them better understand the drivers of their smoking behaviour and challenged the need for them to smoke. Some also reported finding regular and location-specific support messages encouraging and motivational and that this reinforced the goal of quitting and made them feel equipped when they spent time in locations that they used to smoke in. Participants highlighted several factors which led to disengagement with the app, including relapse, no longer feeling they needed support, not finding the app met their needs and technical issues. Participants also provided suggestions for app improvement relating to logging smoking, adding gamification elements and improved support triggering. Interviewed participants from both arms highlighted how COVID-19 measures had affected their smoking behaviour and restricted the time they spent outside of their home, which would have had implications for location-based cessation support. In terms of the main cost-drivers, e-cigarettes/vaporisers and nicotine replacement therapy accounted for more than 70% of the total non-intervention costs. The total intervention cost (recruitment advertising and maintaining the Quit Sense app) was estimated to be £28.51 per participant. In both groups, the mean EQ-5D-5L score at both 6-week and 6-month follow-up was lower than that at baseline. A preliminary cost-effectiveness analysis using EQ-5D-5L score as the outcome estimated that the intervention was both more costly and less effective, compared to standard care, though there was no significant difference in cost or effect between the two groups. The SWAT analysis indicated that increasing the incentive for completing follow-up from £10 to £20 did not increase response rates at 6 months (74% vs. 79%; p = 0.36) but did reduce the proportion of participants requiring manual follow-up (62% vs. 46%; p = 0.018) and the median response time to responding (15 days vs. 7 days; p = 0.016). Conclusions: The Quit Sense RCT design and procedures demonstrated feasibility and generated preliminary efficacy evidence of the app on abstinence at 6-month follow-up, although how the app may achieve this is not clear. Three out of the four pre-specified feasibility progression criteria for moving to a definitive trial – completion rate of self-reported abstinence at final follow-up and the rate of Quit Sense installation and engagement – were met. The return of saliva samples among quitters was lower than anticipated, though this can likely be increased in a future trial through increased incentivisation and enhanced procedures. Progression to a definitive trial is warranted. Trial registration: This trial is registered as ISRCTN12326962. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme (NIHR award ref: 17/92/31) and is published in full in Public Health Research; Vol. 12, No. 4. See the NIHR Funding and Awards website for further award information. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

15. Computational discovery and analysis of rDNA sequence heterogeneity in yeast

Author

West, Claire Louise

Subjects
570
Abstract

Ribosomal RNA genes, known as ribosomal DNA or rDNA, are commonly found in tandem arrays of hundreds of repeating units. The sequences of each unit in an array were thought to be near-identical but it is now known that frequent mutations may occur, causing heterogeneity amongst units. Opposing these divergent mutational processes, unit sequences are homogenised through concerted evolutionary processes such as unequal sister chromatid exchange (USCE) and gene conversion (GC). In this study Perl software has been used to uncover rDNA sequence variation in the yeast Saccharomyces paradoxus, using data derived from the Saccharomyces Genome Resequencing Project. This analysis, in conjunction with a reanalysis of the Saccharomyces cerevisiae data from the same project, has provided detailed information regarding rDNA sequence heterogeneity in two contrasting, yet closelyrelated yeast species. Additionally, the rDNA flanking sequences of four yeast strains have been characterised via an analysis of new next generation sequencing reads, adding to our knowledge of concerted evolutionary processes in these genomic regions. Partial Single Nucleotide Polymorphisms (pSNPs) within these datasets are shown to reflect genome mosaicism within a population, and to identify strains with signs of genome hybridisation undetectable by other means. This information provides further insights into the dynamics of the rDNA region in the two yeast species. In particular, examination of the percentage occupancies of pSNPs reveals U-shaped distributions which differ between the two species. Further investigations of rDNA evolutionary dynamics through the development of two Java simulation tools (SIMPLEX and CONCERTINA), which model USCE and GC events, follow the fate of both single and multiple pSNPs in one or more rDNA arrays. Initial simulations show the distribution of pSNPs varies depending upon the balance between mutations and concerted evolutionary events, and provide a framework to investigate the mechanisms involved in altered rDNA dynamics in various cellular processes.

Published
2013

16. Arterial pulse pressure and postoperative morbidity in high-risk surgical patients

Author

Minto, Gary, King, Angela, Pollak, Claire, Williams, Claire, Patrick, Abigail, West, Claire, Vickers, Emma, Green, Richard, Clark, Martin, Ackland, Gareth, Whittle, John, Paredes, Laura Gallego, Stephens, Robert C.M., Jones, Amy, Otto, James, Lach, Anna, del Arroyo, Ana Gutierrez, Toner, Andrew, Williams, Alexandra, Owen, Thomas, Pradhu, Pradeep, Hull, Daniel, Montague, Laura, Ackland, G.L., Abbott, T.E.F., Pearse, R.M., Karmali, S.N., Whittle, J., and Minto, G.

Published
2018
Full Text
View/download PDF

21. Pain assessments for procedural pain in neonates at risk of neonatal opioid withdrawal syndrome: A scoping review

Author

Langman, Erin, Mansell, Deborah, West, Claire, Lavergne, Julianna, Benoit, Britney, and Dol, Justine

Subjects
Maternal, Child Health and Neonatal Nursing, Medical Sciences, Mental and Social Health, Medicine and Health Sciences, Substance Abuse and Addiction, Nursing, FOS: Health sciences, Pediatric Nursing
Abstract

The purpose of this scoping review is to identify evidence for pain assessment during acute procedures in hospitalized neonates at risk of neonatal opioid withdrawal syndrome (NOWS).

Published
2023
Full Text
View/download PDF

24. Supplementary document for High Spatial and Energy Resolution Electron Energy Loss Spectroscopy of the Magnetic and Electric Excitations in Plasmonic Nanorod Oligomers - 4972191.pdf

Author

Pakeltis, Grace, Rotunno, Enzo, SIAMAK KHORASSANI, Garfinkel, David, Collette, Robyn, West, Claire, Retterer, Scott, Ibrodo, Juan, DAVID MASIELLO, and Rack, Philip

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Abstract

Supplemental Information Document

Published
2021
Full Text
View/download PDF

30. High spatial and energy resolution electron energy loss spectroscopy of the magnetic and electric excitations in plasmonic nanorod oligomers

Author

Pakeltis, Grace, primary, Rotunno, Enzo, additional, Khorassani, Siamak, additional, Garfinkel, David A., additional, Collette, Robyn, additional, West, Claire A., additional, Retterer, Scott T., additional, Idrobo, Juan Carlos, additional, Masiello, David J., additional, and Rack, Philip D., additional

Published
2021
Full Text
View/download PDF

32. Plasmon Hybridization in Nanorhombus Assemblies

Author

West, Claire A., primary, Olafsson, Agust, additional, Pakeltis, Grace, additional, Garfinkel, David A., additional, Rack, Philip D., additional, Masiello, David J., additional, Camden, Jon P., additional, and Idrobo, Juan Carlos, additional

Published
2020
Full Text
View/download PDF

33. Differential Impact of Extended Criteria Donors After Brain Death or Circulatory Death in Adult Liver Transplantation

Author

Pandya, Keval, primary, Sastry, Vinay, additional, Panlilio, Mara T., additional, Yip, Terry C. F., additional, Salimi, Shirin, additional, West, Claire, additional, Virtue, Susan, additional, Wells, Mark, additional, Crawford, Michael, additional, Pulitano, Carlo, additional, Strasser, Simone I., additional, McCaughan, Geoffrey W., additional, Majumdar, Avik, additional, and Liu, Ken, additional

Published
2020
Full Text
View/download PDF

43. Active Far-Field Control of the Thermal Near-Field via Plasmon Hybridization

Author

Bhattacharjee, Ujjal, primary, West, Claire A., additional, Hosseini Jebeli, Seyyed Ali, additional, Goldwyn, Harrison J., additional, Kong, Xiang-Tian, additional, Hu, Zhongwei, additional, Beutler, Elliot K., additional, Chang, Wei-Shun, additional, Willets, Katherine A., additional, Link, Stephan, additional, and Masiello, David J., additional

Published
2019
Full Text
View/download PDF

44. Impact of Evidence‐Based Stroke Care on Patient Outcomes: A Multilevel Analysis of an International Study

Author

Muñoz Venturelli, Paula, primary, Li, Xian, additional, Middleton, Sandy, additional, Watkins, Caroline, additional, Lavados, Pablo M., additional, Olavarría, Verónica V., additional, Brunser, Alejandro, additional, Pontes‐Neto, Octavio, additional, Santos, Taiza E. G., additional, Arima, Hisatomi, additional, Billot, Laurent, additional, Hackett, Maree L., additional, Song, Lily, additional, Robinson, Thompson, additional, Anderson, Craig S., additional, Mead, Gillian, additional, De Silva, H. Asita, additional, Pandian, Jeyaraj D., additional, Lin, Ruey‐Tay, additional, Lee, Tsong‐Hai, additional, Cui, Liying, additional, Peng, Bin, additional, Heritier, Stephane, additional, Lindley, Richard, additional, Jan, Stephen, additional, Boaden, Elizabeth, additional, Chen, Christopher P. L. H., additional, Forster, Anne, additional, Woodward, Mark, additional, Rogers, Kris, additional, Scaria, Anish, additional, Lim, Joyce Y., additional, Espinosa, Natalie, additional, McEvoy, Lucy, additional, Blackburn, Lee, additional, Richtering, Sarah S., additional, You, Shoujiang, additional, Ladwig, Simon, additional, Merritt, Gabrielle P., additional, Thomsen, Bryce, additional, Jenson, Kerry, additional, Gordon, Penelope, additional, Nguyen, Dennis Ryan, additional, Quan, Wei Wei, additional, Lo, Tessa Pei‐Yi, additional, Lim, Jonathan, additional, Goh, Selena, additional, Liu, Leibo, additional, Baig, Mirza Ahmad, additional, Singh, Ravider, additional, Donnelly, Paul, additional, Armenis, Manuela, additional, Zyl, Marna Van, additional, Monaghan, Helen, additional, Smith, Phillipa, additional, Glass, Parisa, additional, Zhou, Fanli, additional, Shen, Yun, additional, Lei, Li, additional, Li, Di, additional, Zhang, Ting, additional, Zhang, Xiaoyan, additional, Peng, Yun, additional, Feng, Lingling, additional, Ye, Zhiping, additional, Gregory, Philip, additional, Pandain, Jeyaraj D., additional, Arora, Deepti, additional, Gonzalez, Francisca, additional, Portales, Bernardita, additional, Santos‐Pontelli, Taiza, additional, Rimoli, Brunna, additional, Braga, Monica, additional, Vidal, Carolina, additional, Benadof, Dafna, additional, Rivas, Rodrigo J., additional, Carvallo, Laura, additional, Carvallo, Pamela, additional, Miranda, Rubia, additional, Pileggi, Brunna, additional, de Silva, H. Asita, additional, Weerawardena, Shalomi, additional, Jeevarajah, Thanushanthan, additional, Dharmawardena, Devaki, additional, Ranasinghe, Dumindi, additional, Dharshana, Matheesha, additional, Nandadeva, Nilesh, additional, Nawarathna, Savithri, additional, Yin, Jiu‐Haw, additional, Yeh, Shoou‐Jeng, additional, Ma, Ruei‐Jen, additional, Watkins, Caroline L., additional, Whiteley, Gemma, additional, Forshaw, Denise, additional, Lightbody, Catherine Elizabeth, additional, Cox, Joanna, additional, Fitzgerald, Jane, additional, Heney, John F., additional, Byfield, Helen, additional, Finley, Simone, additional, Tyrer, Hayley E., additional, Bruce, Carole, additional, Gibbon, Alison, additional, Jones, Brett, additional, Siracusa, Emma, additional, Gowda, Koushik, additional, Cowans, Shahla, additional, Forman, Briana, additional, Jacob, Sherin, additional, Caprecho, Kristine, additional, Khatri, Roshan, additional, Wan, Po Yi, additional, Lopez, Maria, additional, Vanika, Sifiso, additional, Bleeker, Wilhelmina, additional, Ireland, Marinka, additional, Jala, Sheila, additional, Day, Susan, additional, Ha, Eric, additional, Krause, Martin, additional, Passer, Melissa, additional, Giaccari, Sarah, additional, Burkolter, Nadia, additional, Braithwaite, Michael, additional, Tastula, Kylie, additional, Ghia, Darshan, additional, Musuka, Tapuwa, additional, Alvaro, Anthony, additional, Edmonds, Gillian, additional, O'Loughin, Nicole, additional, Phair, Rebecca, additional, Kaoutal, Joanne, additional, Blacker, David J., additional, Saint, Belinda L, additional, Parrey, Kim, additional, Coad, Michelle, additional, Kinchington, Matthew, additional, Senanayake, Nishantha, additional, Alaban, Johanna, additional, Kuehne, Irma, additional, Camilo, Millene, additional, Libardi, Milena, additional, Martins, Sheila, additional, Carlos, Batista, additional, Martins, Magda, additional, Carbonera, Leonardo, additional, Almeida, Andrea, additional, Kelin, Martin, additional, Pauli, Carla, additional, Lunardi, Mariana, additional, Silveira, Luciane, additional, Chagas, Olga, additional, Souza, Daily, additional, Braga, Gabriel, additional, Ribeiro, Priscila, additional, Luvizutto, Gustavo, additional, Polin, Marcia, additional, Winckler, Fernanda, additional, Liu, Jinfeng, additional, Wang, Zhenjiang, additional, Wang, Huibing, additional, Lin, Suying, additional, Dong, Jing, additional, Zhou, Junshan, additional, Qin, Suping, additional, Zhan, Hui, additional, Xue, Yongquan, additional, Tian, Dong, additional, Yang, Dan, additional, Yin, Yan, additional, Li, He, additional, Geng, Changming, additional, Liu, Jieyi, additional, Jiang, Xiaolin, additional, Wu, Yujun, additional, Sun, Wei, additional, Yu, Bingqi, additional, Guan, Yanmei, additional, Wang, Qin, additional, Wei, Bo, additional, Wang, Huirong, additional, Wang, Yan, additional, Tai, Liwen, additional, Zhang, Wenchao, additional, Zhao, Weili, additional, Wang, Xueying, additional, Li, Guoli, additional, Ni, Zhiming, additional, Guo, Fudong, additional, Cen, Lan, additional, Lu, Jun, additional, Chen, Zheng, additional, Yin, Guoming, additional, Wang, Yingchun, additional, Zheng, Jiping, additional, Zhou, Zhimin, additional, Wang, Hongquan, additional, Zou, Renlin, additional, Xue, Bin, additional, Li, Airu, additional, Guo, Jing, additional, Guo, Ying, additional, Jiang, Xingguo, additional, Tan, Xiuge, additional, Zhang, Chunpeng, additional, Shao, Bei, additional, Niu, Xiaoting, additional, Liu, Chunfeng, additional, Chen, Dongqin, additional, Liang, Ping, additional, Zhang, Xia, additional, Zhang, Chunqing, additional, Gong, Wenjie, additional, Huang, Zhichao, additional, Liu, Huihui, additional, Huang, Junying, additional, Shi, Rongfang, additional, Wang, Cuilan, additional, Liu, Ying, additional, Wang, Jinchao, additional, Wu, Guojun, additional, Gao, Zhihong, additional, Lin, Qunli, additional, Xu, Cong, additional, Zheng, Huile, additional, Ye, Xinghai, additional, Jin, Xiaoqiong, additional, Liu, Junyan, additional, Cao, Xiaoyun, additional, Zhang, Yan, additional, Wang, Jinyang, additional, Xu, Yuzhu, additional, Li, Yan, additional, Ma, Xin, additional, Kong, Qi, additional, Hao, Yanlei, additional, Qiao, Baojun, additional, Yan, Hui, additional, Huang, Zhiyong, additional, Chang, Baoqiang, additional, Yan, Jinjin, additional, Liao, Pinjun, additional, Zhang, Wei, additional, Liu, Ling, additional, Zhu, Tingting, additional, Liu, Xuehui, additional, Li, Yongping, additional, Dong, Ruifang, additional, Chen, Miao, additional, Ge, Xiaoli, additional, Wang, Hairong, additional, Dai, Lihua, additional, Liu, Jiafu, additional, Wang, Shixia, additional, Du, Jihui, additional, Song, Aixiu, additional, Li, Yunhai, additional, Feng, Jie, additional, Yu, Cheng, additional, Feng, Honglin, additional, Sun, Xiaojia, additional, Sun, Ruihong, additional, Liu, Weisong, additional, Liu, Jianfeng, additional, Lu, Xuesheng, additional, Chen, Enzhuo, additional, Gao, Wei, additional, Liu, Hui, additional, Wang, Heping, additional, Wang, Yanxia, additional, Song, Juan, additional, Liu, Dongqi, additional, Du, Wenhui, additional, Li, Guixia, additional, Li, Cuiling, additional, Liang, Yanling, additional, Cai, Xuekun, additional, Zhang, Jinli, additional, Tao, Xiaowei, additional, An, Pingshun, additional, Tang, Ranran, additional, Qin, Xu, additional, Wang, Yingling, additional, Zhang, Wenjun, additional, Ma, Rong, additional, Huang, Xiaoqiong, additional, Liu, Yonglin, additional, Wang, Yazhi, additional, Fan, Ping, additional, Yang, Hailan, additional, Feng, Lianyuan, additional, Zhi, Jianxia, additional, Zhang, Jiewen, additional, Zhou, Yao, additional, Wu, Danhong, additional, He, Haiyan, additional, Chen, Xiaohong, additional, Hou, Yongge, additional, Su, Xiaohui, additional, Fan, Siyuan, additional, Suárez, Luis, additional, de Dios Polanco, Juan, additional, Sotomayor, Patricio, additional, Urzúa, Ricardo, additional, Urrutia, Daniela, additional, Conejan, Nathalie, additional, Escobar, Arturo, additional, Gonzalez, Monica, additional, Vargas, Danisa, additional, Constante, Angel, additional, Vásquez, Erika, additional, Godoy, Elizabeth, additional, Figueroa, Christian, additional, Martin, Vanesa San, additional, Vidal, Nataly, additional, Muñoz, Madeleyn, additional, Spencer, María, additional, Almeida, Juan, additional, Acosta, Ignacio, additional, Guerrero, Rodrigo, additional, Lozano, Prudencio, additional, Aguayo, Camila, additional, Pizarro, Jimena, additional, Soto, Alvaro, additional, Bonilla, Flor, additional, García, Pía, additional, Castillo, Carolina Del, additional, Grandjean, Marcela, additional, Von Johnn, Alexis, additional, Gutierrez, Ignacio, additional, Rivero, Francisca, additional, López, Ignacio, additional, Silva, Federico, additional, Pachón, Marlen, additional, Mendoza, José, additional, Pabón, Alexander, additional, Kate, Mahesh, additional, Akhtar, Naushad, additional, Narang, Gibbsdeep S., additional, Deepak, Ashish, additional, Huded, Vikram, additional, De Sowza, Romnesh, additional, Sigamani, Alben, additional, Rajendran, Karthikeyan, additional, Vishwanath, Anisha, additional, K, Anusha, additional, Kumaravelu, Somasundaram, additional, Rahamath, Syed, additional, Kannneganti, Sandeep, additional, Khurana, Dheeraj, additional, Katoch, Cheena, additional, Kaur, Taranpreet, additional, Karadan, Ummer, additional, Kuriakose, Anu, additional, John, Jaison, additional, Basheer, Mumthaz, additional, Gunasekara, Harsha Hemal, additional, De Silva, Gamlath Chandima Udeni, additional, Ubeywickrama, Peetagam Harshi Lakmali, additional, Silva, Kavisha Chathumali, additional, De Silva, Eshani Anuradha, additional, Ranawaka, Udaya, additional, Mettananda, Chamila, additional, Nanayakkara, Yamuna, additional, Mendis, Tharini, additional, Fernando, Gayathri, additional, Imthikab, Ahamed, additional, Pieris, Kandula, additional, Gunatilake, Saman B., additional, Madanayake, Pamuditha M. W., additional, Paranavitane, Shiran A., additional, Senanayake, Bimsara, additional, Vishwanathan, Vaidhehi, additional, Sivapalan, Maathury, additional, Murage, Ruwangi U., additional, Chandradeva, Uthpala, additional, Liu, Yao‐Hua, additional, Lin, Chih‐Lung, additional, Lin, Hsiu‐Fen, additional, Liu, Kuan‐Ting, additional, Chen, Chien‐Fu, additional, Wu, Meng‐Ni, additional, Tsai, Su‐Hua, additional, Chen, Chi‐Ching, additional, Chen, Lan‐Yi, additional, Chang, Chien‐Hung, additional, Chang, Yeu‐Jhy, additional, Huang, Kuo‐Lun, additional, Chang, Ting‐Yu, additional, Liu, Chi‐Hung, additional, Seak, Chen‐June, additional, Lin, Yu‐Li, additional, Luo, Jia‐Yi, additional, Yang, Hsiao‐Ying, additional, Wang, Ching‐Yi, additional, Chan, Lung, additional, Hu, Chaur‐Jong, additional, Chi, Nai‐Fang, additional, Wu, Dean, additional, Huang, Yao‐Hsien, additional, Kuan, Yi‐Chun, additional, Hong, Chien‐Tai, additional, Chen, Yi‐Chun, additional, Sun, Yu, additional, Lin, Cheng‐Huai, additional, Lu, Chien‐Jung, additional, Chu, Hai‐Jui, additional, Lo, Yi‐Chia, additional, Chang, Wen‐Hui, additional, Lin, Wan‐Jung, additional, Su, Hui‐Chen, additional, Lin, Tien‐Yu, additional, Cho, Chi‐Hsuan, additional, Lu, Shu‐Lan, additional, Hsueh, Ya‐Fang, additional, Lai, Ching‐Yi, additional, Jarrett, David, additional, James, Claire, additional, Valentine, Stacey, additional, Whistler, Clare, additional, Butler, Rebecca, additional, Browning, Simone, additional, Watchurst, Caroline, additional, Erande, Renuka, additional, Elliott, Emma, additional, Patel, Krishna, additional, Brezitski, Maria, additional, Hogan, Caroline, additional, Banaras, Asra, additional, Crook, Lucinda, additional, Ahmed, Rashidat, additional, Potter, Lindsay, additional, Laird, Rosie, additional, Clarke, Natasha, additional, Loosemore, Alison, additional, Godber, J., additional, Gawned, Sara, additional, Hamilton, K. A., additional, Jones, Rachael, additional, Guyler, Paul, additional, Tysoe, Sharon, additional, Prabakaran, Raji, additional, Shah, Sweni, additional, Calver, Joanne, additional, Sztriha, Laszlo K., additional, Fitzpatrick, Maria, additional, Drysdale, Stephanie, additional, Aeron‐Thomas, John, additional, McKenzie, Emma, additional, Chitando, Belinda, additional, Willcoxson, Paul, additional, Iveson, Elizabeth, additional, Wanklyn, Peter, additional, Dyer, Natasha, additional, Keeling, Michael, additional, Rodriguez, Romina, additional, Elliott, Kerry, additional, Porteous, Mia, additional, O'Neill, Mark, additional, Orme, Sheridan, additional, Richardson, Carla, additional, Tomlinson, Janet, additional, Hawkins, Suzanne, additional, Bester, Delia, additional, Jeffs, Carol, additional, Howard, Joanne, additional, Brown, Pauline, additional, Ward, Deborah, additional, Turfrey, Jennifer, additional, Raybould, Leanne, additional, Bates, Allison, additional, O'Connell, Sue, additional, O'Connor, Margaret, additional, Williams, Samantha, additional, Emsley, Hedley C. A., additional, McLoughlin, Alison, additional, Raj, Sonia, additional, Gregary, Bindu, additional, Doyle, Donna, additional, Courtauld, G. M., additional, Schofield, C., additional, Lucas, L., additional, Lydon, A., additional, James, A., additional, Saastamoinen, Kari, additional, Howaniec, Laura, additional, Daboo, Premchand, additional, Ali, Ali N., additional, Richards, Emma, additional, Howe, Joanne, additional, Kamara, Christine, additional, Stocks, Kathy, additional, Lindert, Ralf, additional, Day, Diana J., additional, Finlay, Sarah, additional, McGee, Joanne, additional, Mitchell, Jennifer, additional, Amis, Elaine, additional, Macey, Rosemary, additional, Tauro, Suzanne, additional, Henry, Lauren, additional, Cuddy, Sarah, additional, Steele, Andrew, additional, Mullen, Kerry, additional, Kirker, Sarah, additional, Bhattad, Murudappa, additional, Carpenter, Michael, additional, Datta, Prabal, additional, Needle, Ann, additional, Jackson, Linda, additional, Ball, Julie, additional, Beckitt, Rosie, additional, Chivers, Nicola, additional, Bowring, Angela, additional, Eddy, Sara, additional, Thorpe, Kevin, additional, Keenan, Samantha, additional, Griffin, Alison, additional, Maguire, Stuart, additional, Patterson, Chris, additional, Ramadan, Hawraman, additional, Bellfield, Ruth, additional, Hooley, Michaela, additional, Stewart, Kelvin, additional, Williams, Lucy, additional, Gurney, Cara, additional, Oliver, Deborah, additional, Gardiner, Maria, additional, Grayland, Sarah, additional, Bhandari, Mohit, additional, Collas, David M., additional, Adesina, Tolu, additional, Sundayi, Saul, additional, Harvey, Ruth, additional, Pope, Emma, additional, Lam, Audrey, additional, Walker, Elaine, additional, Merrill, Colin, additional, Banerjee, Soma, additional, Harvey, Kirsten Hannah, additional, Mashate, Sheila, additional, Wilding, Peter, additional, Johnson, Linda, additional, Namushi, Robert, additional, Jacob, Patricia, additional, Andole, Sreeman, additional, Dunne, Karen, additional, Gadapa, Naveen, additional, King, Sam, additional, Siliuzaite, Sonata, additional, Dealing, Sharon, additional, Attwood, Karen, additional, Woods, Annette, additional, Sandhu, Banher, additional, Mamun, Maam, additional, Mahmood, Afzal, additional, Jones, June, additional, Ojo, Abimbola, additional, Carter‐Evans, Denise, additional, Liverpool, Royal, additional, Manoj, Aravind, additional, Fletcher, Glyn, additional, Lopez, Paula, additional, Greig, Jill, additional, Robinson, Matthew, additional, Jones, Sarah, additional, Jones, Lorinda, additional, West, Claire, additional, Tench, Helen, additional, Gascoyne, Rachel, additional, Whileman, Amanda, additional, Hall, Emily, additional, Wright, Stephanie, additional, Toms, Julie, additional, Phiri, Duke, additional, Sethuraman, Sakthivel, additional, Mohammed, Niaz, additional, Justin, Frances, additional, Tate, Margaret Louise, additional, Chauhan, Meena, additional, Haider, Syed I., additional, Nallasivan, Arumugam, additional, Webster, Tim, additional, Leason, Sandra, additional, Seagrave, Samantha, additional, Hospital, Peterborough City, additional, Owksu‐Agyei, Peter, additional, Temple, Natalie, additional, Butterworth‐Cowin, Nicola, additional, Magezi, Frederick, additional, Infirmary, Leicester Royal, additional, Khan, Shagufta, additional, Stephens, Claire, additional, Mistri, Amit, additional, Murphy, Aidan, additional, Lam, Manda, additional, Underwood, Paul, additional, Thompson, Catherine, additional, Buckley, Clare, additional, Wood, Diane, additional, Board, Sarah, additional, Howard, Linda, additional, Ahmed, Ashraf, additional, Oates, Bethany, additional, Leonard, Sara, additional, Hospital, Royal Bournemouth, additional, Bournemouth, Royal, additional, Thavanesan, Kamy, additional, Dharmasiri, Michelle, additional, Logianathan, Sathyabama, additional, Ovington, Catherine, additional, Hann, Gail, additional, Cox, Chantel, additional, Hospital, Craigavon Area, additional, Health, Southern, additional, Trust, Social Care, additional, Douglas, Catherine, additional, Goggin, Michael, additional, Fearon, Patricia, additional, Gilpin, Sara, additional, O'Hagan, Margaret, additional, Hospital, Pilgrim, additional, Hardwick, Anne, additional, Netherton, Kimberley, additional, Quinn, Judith, additional, Bozkaplan, Tulu, additional, and Jose, Josin, additional

Published
2019
Full Text
View/download PDF

45. IDDF2019-ABS-0220 Long-term outcomes of utilizing extended criteria deceased donors in liver transplantation – an australian 12-year cohort study

Author

Pandya, Keval, primary, Sastry, Vinay, additional, Panlilio, Mara, additional, West, Claire, additional, Virtue, Susan, additional, Wells, Mark, additional, Crawford, Michael, additional, Pulitano, Carlo, additional, Strasser, Simone, additional, McCaughan, Geoff, additional, Majumdar, Avik, additional, and Liu, Ken, additional

Published
2019
Full Text
View/download PDF

46. IDDF2019-ABS-0196 Long term outcomes of utilizing donation after circulatory death grafts in liver transplantation – an australian 12-year cohort study

Author

Sastry, Vinay, primary, Pandya, Keval, additional, Panlilio, Mara, additional, West, Claire, additional, Virtue, Susan, additional, Wells, Mark, additional, Crawford, Michael, additional, Pulitano, Carlo, additional, Strasser, Simone, additional, McCaughan, Geoff, additional, Majumdar, Avik, additional, and Liu, Ken, additional

Published
2019
Full Text
View/download PDF

48. High‐density SNP genotyping array for hexaploid wheat and its secondary and tertiary gene pool

Author

Winfield, Mark O., Allen, Alexandra M., Burridge, Amanda J., Barker, Gary L. A., Benbow, Harriet R., Wilkinson, Paul A., Coghill, Jane, Waterfall, Christy, Davassi, Alessandro, Scopes, Geoff, Pirani, Ali, Webster, Teresa, Brew, Fiona, Bloor, Claire, King, Julie, West, Claire, Griffiths, Simon, King, Ian, Bentley, Alison R., and Edwards, Keith J.

Subjects
Genetic Markers, Genotype, Genotyping Techniques, wheat progenitors, food and beverages, next‐generation sequencing, Genetic Variation, Gene Pool, Breeding, Polymorphism, Single Nucleotide, genotyping array, Polyploidy, secondary and tertiary gene pools, single nucleotide polymorphism, wheat, Research Articles, Genome, Plant, Triticum, Research Article, Oligonucleotide Array Sequence Analysis
Abstract

Summary In wheat, a lack of genetic diversity between breeding lines has been recognized as a significant block to future yield increases. Species belonging to bread wheat's secondary and tertiary gene pools harbour a much greater level of genetic variability, and are an important source of genes to broaden its genetic base. Introgression of novel genes from progenitors and related species has been widely employed to improve the agronomic characteristics of hexaploid wheat, but this approach has been hampered by a lack of markers that can be used to track introduced chromosome segments. Here, we describe the identification of a large number of single nucleotide polymorphisms that can be used to genotype hexaploid wheat and to identify and track introgressions from a variety of sources. We have validated these markers using an ultra‐high‐density Axiom® genotyping array to characterize a range of diploid, tetraploid and hexaploid wheat accessions and wheat relatives. To facilitate the use of these, both the markers and the associated sequence and genotype information have been made available through an interactive web site.

Published
2015

49. High-density SNP genotyping array for hexaploid wheat and its secondary and tertiary gene pool

Author

Winfield, Mark O, Allen, Alexandra M, Burridge, Amanda J, Barker, Gary L A, Benbow, Harriet R, Wilkinson, Paul A, Coghill, Jane, Waterfall, Christy, Davassi, Alessandro, Scopes, Geoff, Pirani, Ali, Webster, Teresa, Brew, Fiona, Bloor, Claire, King, Julie, West, Claire, Griffiths, Simon, King, Ian, Bentley, Alison R, and Edwards, Keith J

Subjects
food and beverages
Abstract

In wheat, a lack of genetic diversity between breeding lines has been recognized as a significant block to future yield increases. Species belonging to bread wheat's secondary and tertiary gene pools harbour a much greater level of genetic variability, and are an important source of genes to broaden its genetic base. Introgression of novel genes from progenitors and related species has been widely employed to improve the agronomic characteristics of hexaploid wheat, but this approach has been hampered by a lack of markers that can be used to track introduced chromosome segments. Here, we describe the identification of a large number of single nucleotide polymorphisms that can be used to genotype hexaploid wheat and to identify and track introgressions from a variety of sources. We have validated these markers using an ultra-high-density Axiom(®) genotyping array to characterize a range of diploid, tetraploid and hexaploid wheat accessions and wheat relatives. To facilitate the use of these, both the markers and the associated sequence and genotype information have been made available through an interactive web site.

Published
2016

50. A tetranuclear Cu(I) cluster in the metallochaperone protein CopZ

Author

Hearnshaw, Stephen, West, Claire, Singleton, Chloe, Liang Zhou, Kihlken, Margaret A., Strange, Richard W., Brun, Nick E. Le, and Hemmings, Andrew M.

Subjects
Bacillus subtilis -- Physiological aspects, Bacillus subtilis -- Genetic aspects, Organocuprates -- Structure, Organocuprates -- Chemical properties, Organocuprates -- Optical properties, Genetic transcription -- Analysis, X-ray crystallography -- Usage, Biological sciences, Chemistry
Abstract

The high-resolution X-ray crystal structure characterization of an Atx1-like copper chaperone protein from Bacillus subtilis containing a novel tetranuclear Cu(I) cluster is described. The findings for [[Cu.sub.4][(S-Cys).sub.4][(N-His).sub.2]] cluster geometry offered a new structural insights into the binding of multiple cuprous ions by metallochaperones as well as protein-associated tetranuclear Cu(I) clusters, including those found in eukaryotic copper-responsive transcription factors.

Published
2009

Catalog

Books, media, physical & digital resources
See catalog results