Search

Your search keyword '"Tăbăcaru A"' showing total 355 results
Start Over Author "Tăbăcaru A"
355 results on '"Tăbăcaru A"'

1. Fabrication of Very Fine ZnS Nanoparticles Through Surface Organo-Modification

Author

Duinea, Ionela-Mădălina, Tăbăcaru, Aurel, Chiriță, Paul, Cioateră, Nicoleta, Ceoromila, Alina-Mihaela, Cârâc, Geta, Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Sandu, Andrei Victor, editor, Vizureanu, Petrica, editor, Abdullah, Mohd Mustafa Al Bakri, editor, Nabialek, Marcin, editor, Zainol, Mohd Remy Rozainy Mohd Arif, editor, and Sandu, Ion, editor

Published
2025
Full Text
View/download PDF

3. Expanding RIB Capabilities at the Cyclotron Institute: \textsuperscript{3}He-LIG production with an Isobar Separator LSTAR

Author

Melconian, D., Berg, G. P. A., Shidling, P. D., Couder, M., Brodeur, M., Chubarian, G., Iacob, V. E., Klimo, J., and Tabacaru, G.

Subjects
Physics - Instrumentation and Detectors, Nuclear Experiment
Abstract

A new \textsuperscript{3}He-driven IGISOL production station and mass separator have been designed to produce neutron-deficient low-mass isotopes at the Cyclotron Institute for the TAMUTRAP facility. The LSTAR design has a mass resolution $M/\Delta M\geq 3, 000$ to reject contaminants with $\gt95\%$ efficiency., Comment: Proceeding for EMIS 2022

Published
2023
Full Text
View/download PDF

4. Ventilation strategies and risk factors for intraoperative respiratory critical events and postoperative pulmonary complications in neonates and small infants: a secondary analysis of the NECTARINE cohort☆

Author

Veyckemans, Francis, Virag, Katalin, Hansen, Tom G., Becke-Jakob, Karin, Harlet, Pierre, Vutskits, Laszlo, Walker, Suellen M., de Graaff, Jurgen C., Zielinska, Marzena, Simic, Dusica, Breschan, Christian, Likar, Rudolf, Platzer, Manuela, Edelman, Isole, Eger, Johanes, Heschl, Stefan, Messerer, Brigitte, Vittinghof, Maria, Kroess, Ruth, Stichlberger, Martina, Kahn, David, Pirotte, Thierry, Pregardien, Caroline, Stevens, France, Berghmans, Johan, Bauters, Annemie, De Baerdemaeker, Luc, De Hert, Stefan, Lapage, Koen, Parashchanka, Aliaksandra, Van Limmen, Jurgen, Wyffels, Piet, Lauweryns, Julie, Najafi, Nadia, Vundelinckx, Joris, Butković, Diana, Sorić, Ivana Kerovec, Kralik, Sandra, Markić, Ana, Azman, Josip, Markic, Josko, Pupacic, Daniela, Frelich, Michal, Reimer, Petr, Urbanec, René, Cajková, Petra, Mixa, Vladimír, Sedláčková, Yvona, Knoppová, Lenka, Zlámalová (neé Květoňová), Alena, Vavřina, Martin, Žurek, Jiří, Hansen, Tom, Afshari, Arash, Bille, Anders Bastholm, Ellekvist, Marguerite, Ilmoja, Mari-Liis, Moor, Reet, Kikas, Reet, Väli, Merle, Kallio, Kariantti, Reponen, Elisa, Suominen, Pertti, Suvanto, Sami, Vähätalo, Raisa, Kokki, Hannu, Kokki, Merja, Harju, Jarkko, Kokkonen, Miia, Vieri, Jenni, Manner, Tuula, Amory, Catherine, Ludot, Hugues, Bert, Dina, Godart, Juliette, Laffargue, Anne, Dupont, Hervé, Urbina, Benjamin, Baujard, Catherine, Roulleau, Philippe, Staiti, Giuseppe, Bordes, Maryline, Gaulain, Karine Nouette, Hamonic, Yann, Semjen, François, Jacqmarcq, Olivier, Lejus-Bourdeau, Caroline, Magne, Cécile, Petry, Léa, Ros, Lilica, Zang, Aurélien, Bennis, Mehdi, Coustets, Bernard, Fesseau, Rose, Constant, Isabelle, Khalil, Eliane, Sabourdin, Nada, Audren, Noemie, Descarpentries, Thomas, Fabre, Fanny, Legrand, Aurélien, Druot, Emilie, Orliaguet, Gilles, Sabau, Lucie, Uhrig, Lynn, Brière, François de la, Jonckheer, Karin, Mission, Jean-Paul, Scordo, Lucia, Couchepin, Caroline, Dadure, Christophe, De la Arena, Pablo, Hertz, Laurent, Pirat, Philippe, Sola, Chrystelle, Bellon, Myriam, Dahmani, Souhayl, Julien-Marsollier, Florence, Michelet, Daphne, Depret-Donatien, Veronique, Lesage, Anne, Kaufmann, Jost, Laschat, Michael, Wappler, Frank, Becke, Karin, Brunner, Lena, Oppenrieder, Karin, Badelt, Gregor, Hochmuth, Karin, Koller, Bernhard, Reil, Anita, Richter, Sebastian, Fischer, Thomas, Diers, Anja, Schorer, Clemens, Weyland, Andreas, Cohausz, Ruth, Kretz, Franz-Josef, Löffler, Michaela, Wilbs, Markus, Hoehne, Claudia, Ulrici, Johanna, Goeters, Christiane, Flinspach, Armin, Klages, Matthias, Lindau, Simone, Messroghli, Leila, Zacharowski, Kai, Eisner, Christoph, Mueller, Thomas, Richter, Daniel, Schäfer, Melanie, Weigand, Markus, Weiterer, Sebastian, Ochsenreiter, Miriam, Schöler, Michael, Terboven, Tom, Eggemann, Isabel, Haussmann, Sascha, Leister, Nicolas, Menzel, Christoph, Trieschmann, Uwe, Yücetepe, Sirin, Keilig, Susanna, Kranke, Peter, Jelting, Yvonne, Baehner, Torsten, Ellerkmann, Richard, Ghamari, Shahab, Neumann, Claudia, Söhle, Martin, Chloropoulou, Pelagia, Ntritsou, Vagia, Papagiannopoulou, Pinelopi, Garini, Eleana, Karafotia, Afroditi, Mammi, Panagoula, Bali, Evangelia, Iordanidou, Despoina, Malisiova, Anna, Polyzoi, Artemis, Tsiotou, Adelais, Sapi, Erzsebet, Székely, Edgar, Kosik, Nandor, Maráczi, Veronika, Schnur, Janos, Csillag, Judit, Gál, János, Göbl, Gergely, Hauser, Balázs, Petróczy, András, Tövisházi, Gyula, Blain, Stuart, Gallagher, Sarah, Harte, Sinead, Jackson, Mandy, Meehan, Emma, Nawoor, Zeenat, O'Hare, Brendan, Ross, Mark, Lerro, Daniela, Astuto, Marinella, Grasso, Chiara, Scalisi, Rita, Frasacco, Giulia, Lenares, Elena, Leone, Roberto, Grazzini, Maurizia, Minardi, Carmelo, Zadra, Nicola, Cinnella, Gilda, Cotoia, Antonella, Galante, Dario, De Lorenzo, Brita, Kuppers, Beate, Bottazzi, Giulia, Caramelli, Fabio, Mondardini, Maria Cristina, Rossetti, Emanuele, Picardo, Sergio, Vittori, Alessandro, Camporesi, Anna, Calderini, Edoardo, Colantonio, Laura Brigitta, Finamore, Simona Anna, Porro, Giuliana Anna, Bonfiglio, Rachele, Disma, Nicola, Kotzeva, Svetlana, Mameli, Leila, Mattioli, Girolamo, Micalizzi, Camilla, Montaguti, Alessia, Pistorio, Angela, Zanaboni, Clelia, Guddo, Anna, Neba, Gerald Rogan, Favarato, Moreno, Locatelli, Bruno Guido, Maffioletti, Micol, Sonzogni, Valter, Garra, Rossella, Sammartino, Maria, Sbaraglia, Fabio, Cortegiani, Andrea, Moscarelli, Alessandra, Attanasi, Elena, Tesoro, Simonetta, Agapiti, Cristina, Pinzoni, Francesca, Vezzoli, Cesare, Bilotta, Federico, Barzdina, Arta, Straume, Zane, Zundane, Anda, Lukosiene, Laura, Maraulaite, Irena, Razlevice, Ilona, Schmitz, Bernd, Mifsud, Stephanie, Aehling, Carolin, Allison, Celia, De Boer, Rients, Emal, Dina, Stevens, Markus, Buitenhuis, Marielle, de Graaff, Jurgen, De Liefde, Inge, Machotta, Andreas, Scoones, Gail, Staals, Lonneke, Tomas, Jeremy, Van der Knijff-van Dortmont, Anouk, Veldhuizen, Marianne, Alders, David, Buhre, Wolfgang, Schafrat, Eva, Schreiber, Jan, Vermeulen, Petronella Mari, Hendriks, Mark, Lako, Sandra, Voet-Lindner, Marieke, Pieters, Barbe, Scheffer, Gert-Jan, Tielens, Luc, Absalom, Anthony R., Bergsma, Margot, De Ruiter, Joke, Meier, Sascha, Volkers, Martin, Zweers, Tjerk, Beukers, Anne M., Boer, Christa, Dertinger, Jurgen, Numan, Sandra, Van Zaane, Bas, Boerke, Wenche B., Ekiz, Nil, Stensrud, Kristoffer, Drage, Inger Marie, Isern, Erik Ramon, Bartkowska-Sniatkowska, Alicja, Grzeskowiak, Malgorzata, Juzwa-Sobieraj, Magdalena, Rosada-Kurasińska, Jowita, Baranowski, Artur, Jakubowska, Karina, Lewandowska, Dorota, Mierzewska-Schmidt, Magdalena, Sawicki, Piotr, Urban-Lechowicz, Magdalena, Przemyslaw, Pomianek, Leal, Teresa, Soares, Maria, Pina, Pedro, Pinho, Sílvia, Patuleia, Maria Domingas, Esteves, Catarina Cruz, Salgado, Helena, Santos, Maria João, Badeti, Rodica, Cindea, Iulia, Oana, Loredana, Gurita, Adriana, Ilie, Luminita, Mocioiu, Gabriel, Tabacaru, Radu, Trante, Irina, Munteanu, Valentin, Morariu, Mihai, Nyíri, Emese, Budic, Ivana, Marjanovic, Vesna, Drašković, Biljana, Pandurov, Marina, Ilic, Jordanka, Mandras, Ana, Rados, Zdenka, Stankovic, Nikola, Suica, Maja, Vasiljevic, Sladjana, Knezevic, Mirjana, Milojevic, Irina, Petrov, Ivana, Racic, Selena Puric, Simic, Irena, Stevic, Marija, Vulicevic, Irena, Bystrica, Banská, Cabanová, Barbora, Hanula, Miloslav, Berger, Jelena, Janjatovic, Darja, Štupnik, Špela Pirtovšek, Méndez, Dolores, Pino, Gema, Rubio, Paloma, Izquierdo, Alberto, López, Silvia, Serrano, Cristina González, Cebrián, Jesús, Peleteiro, Ana, Del Rey de Diego, Pilar, García, Ernesto Martínez, Tormo de las Heras, Carolina, Montero, Pablo Troncoso, Arbona, Celia, Artés, David, Chamizo, Alicia, Serrano, Silvia, Comas, Montserrat Suarez, Escribá, Francisco, Auli, Cristina, Pardo, Osvaldo Pérez, Biddle, Natalia Sierra, Castaño, Ceferina Suárez, Villalobos Rico, María Isabel, Muñoz, Susana Manrique, Martínez, Irene García, Estruch, Nuria Montferrer, Ortíz, Elena Vilardell, Poves-Álvarez, Rodrigo, Kohn, Ivan, Lindestam, Ulf, Reinhard, Jarl, Castellheim, Albert, Sandström, Kerstin, Bengt, Sporre, Dörenberg, Rainer, Frykholm, Peter, Garcia, Maria, Kvarnström, Ann, Pontén, Emma, Bruelisauer, Thomas, Erdoes, Gabor, Kaiser, Heiko, Marchon, Mathias, Riva, Thomas, Seiler, Stefan, Bögli, Yann, Dolci, Mirko, Marcucci, Carine, Habre, Walid, Pichon, Isabelle, Casutt, Mattias, Hölzle, Martin, Hurni, Thomas, Jöhr, Martin, Malär, Anna-Ursina, Mauch, Jacqueline, Erb, Thomas, Oeinck, Karin, Akin, Mine, Keskin, Gulsen, Senayli, Yesim, Kaya, Guner, Kendigelen, Pinar, Tutuncu, Ayse Çiğdem, Hatipoğlu, Zehra, Özcengiz, Dilek, Erdost, Hale Aksu, Öçmen, Elvan, Olguner, Çimen, Ayanoglu, Hilmi, Dincer, Pelin Corman, Umuroglu, Tumay, Azizoglu, Mustafa, Birbiçer, Handan, Doruk, Nurcan, Sagun, Aslı, Baris, Sibel, Dmytriiev, Dmytro, Kuchi, Sridevi, Masip, Nuria, Brooks, Peter, Hare, Alison, Ahmad, Nargis, Casey, Michelle, De Silva, Sam, Dobby, Nadine, Krishnan, Prakash, Sogbodjor, L. Amaki, Walker, Ellie, Walker, Suellen, King, Stephanie, Nicholson, Katy, Quinney, Michelle, Stevens, Paul, Blevin, Andrew, Giombini, Mariangela, Goonasekera, Chulananda, Adil, Sadia, Bew, Stephanie, Bodlani, Carol, Gilpin, Dan, Jinks, Stephanie, Malarkkan, Nalini, Miskovic, Alice, Pad, Rebecca, Barry, Juliet Wolfe, Abbott, Joy, Armstrong, James, Cooper, Natalie, Crate, Lindsay, Emery, John, James, Kathryn, King, Hannah, Martin, Paul, Catenacci, Stefano Scalia, Bomont, Rob, Smith, Paul, Mele, Sara, Verzelloni, Alessandra, Dix, Philippa, Bell, Graham, Gordeva, Elena, McKee, Lesley, Ngan, Esther, Scheffczik, Jutta, Tan, Li-En, Worrall, Mark, Cassar, Carmel, Goddard, Kevin, Barlow, Victoria, Oshan, Vimmi, Shah, Khairi, Bell, Sarah, Daniels, Lisa, Gandhi, Monica, Pachter, David, Perry, Chris, Robertson, Andrew, Scott, Carmen, Waring, Lynne, Barnes, David, Childs, Sophie, Norman, Joanne, Sunderland, Robin, Julia, Dowell, Prisca, Feijten, Pierre, Harlet, Sarah, Herbineaux, Brigitte, Leva, Benoît, Plichon, Katalin, Virág, Fuchs, Alexander, Engelhardt, Thomas, Marchesini, Vanessa, Riedel, Thomas, and Boda, Krisztina

Published
2025
Full Text
View/download PDF

5. A comparison of raspberry freezing-damage during preservation in isochoric and isobaric conditions

Author

Ștefan Ioan Câmpean, George Andrei Beșchea, Beatrice Georgiana Vuțoiu, Maria Bianca Tăbăcaru, and Gabriel Năstase

Subjects
Rubus idaeus L. (Raspberry), constant volume, preservation, weights loss, brix, pH, Nutrition. Foods and food supply, TX341-641
Abstract

IntroductionFruits are perishable, thus it’s crucial to have an efficient preservation technique that can increase storage time while keeping physical quality and nutritional attributes in order to avoid wastage. The majority of methods for long-term storage require refrigeration.MethodsIn this investigation, we assess the viability of isochoric freezing as a different technique of raspberry (Rubus idaeus L.) preservation. Raspberries were subjected to different storage conditions: isochoric freezing at –4°C, conventional isobaric settings at +3°C (refrigerator), –21°C (freezer), and –4°C with a trehalose solution in a plastic bag. The study assessed changes in weight loss, visual appearance, color, hardness, °Brix values, and pH over a seven-day period.ResultsKey findings reveal that raspberries subjected to isochoric freezing below the freezing point of water experienced minimal weight loss after seven days. Visual appearance, color, hardness, °Brix values, and pH were comparable to fresh raspberries, indicating minimal alteration.DiscussionThese results suggest that isochoric freezing shows potential as a preservation method that maintains the physical and chemical properties of raspberries similar to fresh fruit. Implementing diverse preservation techniques tailored to raspberries may contribute to environmental sustainability by reducing food wastage and the associated environmental impact.

Published
2024
Full Text
View/download PDF

6. Production, isolation, and shipment of clinically relevant quantities of astatine-211: A simple and efficient approach to increasing supply

Author

McIntosh, Lauren A., Burns, Jonathan D., Tereshatov, Evgeny E., Muzzioli, Riccardo, Hagel, Kris, Jinadu, Noimat A., McCann, Laura A., Picayo, Gabriela A., Pisaneschi, Federica, Piwnica-Worms, David, Schultz, Steven J., Tabacaru, Gabriel C., Abbott, Austin, Green, Brooklyn, Hankins, Travis, Hannaman, Andrew, Harvey, Bryan, Lofton, Kylie, Rider, Robert, Sorensen, Maxwell, Tabacaru, Alexandra, Tobin, Zachary, and Yennello, Sherry J.

Published
2023
Full Text
View/download PDF

7. Mechanism of astatine and bismuth sorption on extraction chromatography resins from nitric acid media

Author

Tereshatov, Evgeny E., Burns, Jonathan D., Schultz, Steven J., Green, Brooklyn D., Picayo, Gabriela A., McCann, Laura A., McIntosh, Lauren A., Tabacaru, Gabriel C., Abbott, Austin, Berko, Matthew, Engelthaler, Emily, Hagel, Kris, Hankins, Travis, Harvey, Bryan, Hoekstra, Lauren, Lofton, Kylie, Regener, Sebastian, Rider, Robert, Sorensen, Maxwell, Tabacaru, Alexandra, Thomas, David, Tobar, Justin, Tobin, Zachary, and Yennello, Sherry J.

Published
2023
Full Text
View/download PDF

9. Convolutional Neural Network–Machine Learning Model: Hybrid Model for Meningioma Tumour and Healthy Brain Classification

Author

Simona Moldovanu, Gigi Tăbăcaru, and Marian Barbu

Subjects
meningioma tumour, convolutional neural networks, machine learning, transfer learning, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Abstract

This paper presents a hybrid study of convolutional neural networks (CNNs), machine learning (ML), and transfer learning (TL) in the context of brain magnetic resonance imaging (MRI). The anatomy of the brain is very complex; inside the skull, a brain tumour can form in any part. With MRI technology, cross-sectional images are generated, and radiologists can detect the abnormalities. When the size of the tumour is very small, it is undetectable to the human visual system, necessitating alternative analysis using AI tools. As is widely known, CNNs explore the structure of an image and provide features on the SoftMax fully connected (SFC) layer, and the classification of the items that belong to the input classes is established. Two comparison studies for the classification of meningioma tumours and healthy brains are presented in this paper: (i) classifying MRI images using an original CNN and two pre-trained CNNs, DenseNet169 and EfficientNetV2B0; (ii) determining which CNN and ML combination yields the most accurate classification when SoftMax is replaced with three ML models; in this context, Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) were proposed. In a binary classification of tumours and healthy brains, the EfficientNetB0-SVM combination shows an accuracy of 99.5% on the test dataset. A generalisation of the results was performed, and overfitting was prevented by using the bagging ensemble method.

Published
2024
Full Text
View/download PDF

10. Behavior of astatine and bismuth in non-conventional solvents: Extraction into imidazolium-based ionic liquid and methyl anthranilate with active pharmaceuticals binary mixtures from nitric acid media

Author

Tereshatov, Evgeny E., Burns, Jonathan D., Vonder Haar, Amy L., Schultz, Steven J., McIntosh, Lauren A., Tabacaru, Gabriel C., McCann, Laura A., Avila, Geoffrey, Hannaman, Andrew, Hood, Ashley, Lofton, Kylie N., McCarthy, Mallory A., Sorensen, Maxwell, and Yennello, Sherry J.

Published
2023
Full Text
View/download PDF

13. A novel approach to medical radioisotope production using inverse kinematics: a successful production test of the theranostic radionuclide 67Cu

Author

Souliotis, G, Rodrigues, M, Wang, K, Iacob, V, Nica, N, Roeder, B, Tabacaru, G, Yu, M, Zanotti-Fregonara, P, and Bonasera, A

Subjects
Physics - Medical Physics, Nuclear Experiment
Abstract

A novel method for the production of important medical radioisotopes has been developed. The approach is based on performing the nuclear reaction in inverse kinematics, namely sending a heavy-ion beam of appropriate energy on a light target (e.g. H, d, He) and collecting the isotope of interest. In this work, as a proof-of-concept, we studied the production of the theranostic radionuclide 67Cu (T 1/2 =62 h) via the reaction of a 70Zn beam at 15 MeV/nucleon with a hydrogen gas target. The 67Cu radionuclide, alongside other coproduced isotopes, was collected after the gas target on an Al catcher foil and their radioactivity was measured by off-line {\gamma}-ray analysis. After 36 h from the end of the irradiation, apart from the product of interest 67Cu, the main radioimpurity coming from the 70Zn+p reaction was 69mZn (T 1/2 =13.8 h) that can be reduced by further radio-cooling. Moreover, along with the radionuclide of interest produced in inverse kinematics, the production of additional radioisotopes is possible by making use of the forward-focused neutrons from the reaction and letting them interact with a secondary target. A preliminary successful test of this concept was realized in the present study. The main requirement to obtain activities appropriate for preclinical studies is the development of high-intensity heavy-ion primary beams., Comment: 8 pages, 3 figures, submitted to Applied Radiation and Isotopes

Published
2019

15. Neonates undergoing pyloric stenosis repair are at increased risk of difficult airway management: secondary analysis of the NEonate and Children audiT of Anaesthesia pRactice IN Europe

Author

Breschan, Christian, Likar, Rudolf, Platzer, Manuela, Edelman, Isole, Eger, Johanes, Heschl, Stefan, Messerer, Brigitte, Vittinghof, Maria, Kroess, Ruth, Stichlberger, Martina, Kahn, David, Pirotte, Thierry, Pregardien, Caroline, Veyckemans, Francis, Stevens, France, Berghmans, Johan, Bauters, Annemie, De Baerdemaeker, Luc, De Hert, Stefan, Lapage, Koen, Parashchanka, Aliaksandra, Van Limmen, Jurgen, Wyffels, Piet, Lauweryns, Julie, Najafi, Nadia, Vundelinckx, Joris, Butković, Diana, Sorić, Ivana Kerovec, Kralik, Sandra, Markić, Ana, Azman, Josip, Markic, Josko, Pupacic, Daniela, Frelich, Michal, Reimer, Petr, Urbanec, René, Cajková, Petra, Mixa, Vladimír, Sedláčková, Yvona, Knoppová, Lenka, Zlámalová (neé Květoňová), Alena, Vavřina, Martin, Žurek, Jiří, Hansen, Tom, Afshari, Arash, Bille, Anders Bastholm, Ellekvist, Marguerite, Ilmoja, Mari-Liis, Moor, Reet, Kikas, Reet, Väli, Merle, Kallio, Kariantti, Reponen, Elisa, Suominen, Pertti, Suvanto, Sami, Vähätalo, Raisa, Kokki, Hannu, Kokki, Merja, Harju, Jarkko, Kokkonen, Miia, Vieri, Jenni, Manner, Tuula, Catherine, Amory, Ludot, Hugues, Bert, Dina, Godart, Juliette, Laffargue, Anne, Dupont, Hervé, Urbina, Benjamin, Baujard, Catherine, Roulleau, Philippe, Staiti, Giuseppe, Bordes, Maryline, Gaulain, Karine Nouette, Hamonic, Yann, Semjen, François, Jacqmarcq, Olivier, Lejus-Bourdeau Cécile Magne, Caroline, Petry, Léa, Ros, Lilica, Zang, Aurélien, Bennis, Mehdi, Coustets, Bernard, Fesseau, Rose, Constant, Isabelle, Khalil, Eliane, Sabourdin, Nada, Audren, Noemie, Descarpentries, Thomas, Fabre, Fanny, Legrand, Aurélien, Druot, Emilie, Orliaguet, Gilles, Sabau, Lucie, Uhrig, Lynn, Brière, François de la, Jonckheer, Karin, Mission, Jean-Paul, Scordo, Lucia, Couchepin, Caroline, Dadure, Christophe, De la Arena, Pablo, Hertz, Laurent, Pirat, Philippe, Sola, Chrystelle, Bellon, Myriam, Dahmani, Souhayl, Julien-Marsollier, Florence, Michelet, Daphne, Depret-Donatien, Veronique, Lesage, Anne, Kaufmann, Jost, Laschat, Michael, Wappler, Frank, Becke, Karin, Brunner, Lena, Oppenrieder, Karin, Badelt, Gregor, Hochmuth, Karin, Koller, Bernhard, Reil, Anita, Richter, Sebastian, Fischer, Thomas, Diers, Anja, Schorer, Clemens, Weyland, Andreas, Cohausz, Ruth, Kretz, Franz-Josef, Löffler, Michaela, Wilbs, Markus, Hoehne, Claudia, Ulrici, Johanna, Goeters, Christiane, Flinspach, Armin, Klages, Matthias, Lindau, Simone, Messroghli, Leila, Zacharowski, Kai, Eisner, Christoph, Mueller, Thomas, Richter, Daniel, Schäfer, Melanie, Weigand, Markus, Weiterer, Sebastian, Ochsenreiter, Miriam, Schöler, Michael, Terboven, Tom, Eggemann, Isabel, Haussmann, Sascha, Leister, Nicolas, Menzel, Christoph, Trieschmann, Uwe, Yücetepe, Sirin, Keilig, Susanna, Kranke, Peter, Jelting, Yvonne, Baehner, Torsten, Ellerkmann, Richard, Ghamari, Shahab, Neumann, Claudia, Söhle, Martin, Chloropoulou, Pelagia, Ntritsou, Vagia, Papagiannopoulou, Pinelopi, Garini, Eleana, Karafotia, Afroditi, Mammi, Panagoula, Bali, Evangelia, Iordanidou, Despoina, Malisiova, Anna, Polyzoi, Artemis, Tsiotou, Adelais, Sapi, Erzsebet, Székely, Edgar, Kosik, Nandor, Maráczi, Veronika, Schnur, Janos, Csillag, Judit, Gál, János, Göbl, Gergely, Hauser, Balázs, Petróczy, András, Tövisházi, Gyula, Blain, Stuart, Gallagher, Sarah, Harte, Sinead, Jackson, Mandy, Meehan, Emma, Nawoor, Zeenat, O’Hare, Brendan, Ross, Mark, Lerro, Daniela, Astuto, Marinella, Grasso, Chiara, Scalisi, Rita, Frasacco, Giulia, Lenares, Elena, Leone, Roberto, Grazzini, Maurizia, Minardi, Carmelo, Zadra, Nicola, Cinnella, Gilda, Cotoia, Antonella, Galante, Dario, De Lorenzo, Brita, Kuppers, Beate, Bottazzi, Giulia, Caramelli, Fabio, Mondardini, Maria Cristina, Rossetti, Emanuele, Picardo, Sergio, Vittori, Alessandro, Camporesi, Anna, Izzo, Francesca, Calderini, Edoardo, Colantonio, Laura Brigitta, Finamore, Simona Anna, Porro, Giuliana Anna, Bonfiglio, Rachele, Disma, Nicola, Kotzeva, Svetlana, Mattioli, Girolamo, Micalizzi, Camilla, Montaguti, Alessia, Pistorio, Angela, Guddo, Anna, Neba, Gerald Rogan, Favarato, Moreno, Locatelli, Bruno Guido, Maffioletti, Micol, Sonzogni, Valter, Garra, Rossella, Sammartino, Maria, Sbaraglia, Fabio, Cortegiani, Andrea, Moscarelli, Alessandra, Attanasi, Elena, Tesoro, Simonetta, Agapiti, Cristina, Pinzoni, Francesca, Vezzoli, Cesare, Federico, Bilotta, Barzdina, Arta, Straume, Zane, Zundane, Anda, Lukosiene, Laura, Maraulaite, Irena, Razlevice, Ilona, Schmitz, Bernd, Mifsud, Stephanie, Aehling, Carolin, Allison, Celia, De Boer, Rients, Emal, Dina, Stevens, Markus, Buitenhuis, Marielle, de Graaff, Jurgen, De Liefde, Inge, Machotta, Andreas, Scoones, Gail, Staals, Lonneke, Tomas, Jeremy, Van der Knijff-van Dortmont, Anouk, Veldhuizen, Marianne, Alders, David, Schafrat, Eva, Schreiber, Jan, Vermeulen, Petronella Mari, Hendriks, Mark, Lako, Sandra, Voet-Lindner, Marieke, Pieters, Barbe, Scheffer, Gert-Jan, Tielens, Luc, Absalom, Anthony R., Bergsma, Margot, De Ruiter, Joke, Meier, Sascha, Volkers, Martin, Zweers, Tjerk, Beukers, Anne M., Boer, Christa, Dertinger, Jurgen, Numan, Sandra, Van Zaane, Bas, Boerke, Wenche B., Ekiz, Nil, Stensrud, Kristoffer, Drage, Inger Marie, Isern, Erik Ramon, Bartkowska-Sniatkowska, Alicja, Grzeskowiak, Malgorzata, Juzwa-Sobieraj, Magdalena, Rosada-Kurasińska, Jowita, Baranowski, Artur, Jakubowska, Karina, Lewandowska, Dorota, Mierzewska-Schmidt, Magdalena, Sawicki, Piotr, Urban-Lechowicz, Magdalena, Przemyslaw, Pomianek, Zielinska, Marzena, Leal, Teresa, Soares, Maria, Pina, Pedro, Pinho, Sílvia, Patuleia, Maria Domingas, Esteves, Catarina Cruz, Salgado, Helena, Santos, Maria João, Badeti, Rodica, Cindea, Iulia, Oana, Loredana, Gurita, Adriana, Ilie, Luminita, Mocioiu, Gabriel, Tabacaru, Radu, Trante, Irina, Munteanu, Valentin, Morariu, Mihai, Nyíri, Emese, Budic, Ivana, Marjanovic, Vesna, Drašković, Biljana, Pandurov, Marina, Ilic, Jordanka, Mandras, Ana, Rados, Zdenka, Stankovic, Nikola, Suica, Maja, Vasiljevic, Sladjana, Knezevic, Mirjana, Milojevic, Irina, Petrov, Ivana, Racic, Selena Puric, Simic, Dusica, Simic, Irena, Stevic, Marija, Vulicevic, Irena, Bystrica, Banská, Cabanová, Barbora, Hanula, Miloslav, Berger, Jelena, Janjatovic, Darja, Štupnik, Špela Pirtovšek, Méndez, Dolores, Pino, Gema, Rubio, Paloma, Izquierdo, Alberto, López, Silvia, Serrano, Cristina González, Cebrián, Jesús, Peleteiro, Ana, Del Rey de Diego, Pilar, García, Ernesto Martínez, Tormo de las Heras, Carolina, Montero, Pablo Troncoso, Arbona, Celia, Artés, David, Chamizo, Alicia, Serrano, Silvia, Comas, Montserrat Suarez, Escribá, Francisco, Auli, Cristina, Pardo, Osvaldo Pérez, Biddle, Natalia Sierra, Castaño, Ceferina Suárez, Villalobos Rico, María Isabel, Muñoz, Susana Manrique, Martínez, Irene García, Estruch, Nuria Montferrer, Ortíz, Elena Vilardell, Poves-Álvarez, Rodrigo, Kohn, Ivan, Lindestam, Ulf, Reinhard, Jarl, Castellheim, Albert, Sandström, Kerstin, Bengt, Sporre, Dörenberg, Rainer, Frykholm, Peter, Garcia, Maria, Kvarnström, Ann, Pontén, Emma, Bruelisauer, Thomas, Erdoes, Gabor, Kaiser, Heiko, Marchon, Mathias, Riva, Thomas, Seiler, Stefan, Bögli, Yann, Dolci, Mirko, Marcucci, Carine, Habre, Walid, Pichon, Isabelle, Vutskits, Laszlo, Casutt, Mattias, Hölzle, Martin, Hurni, Thomas, Jöhr, Martin, Malär, Anna-Ursina, Mauch, Jacqueline, Erb, Thomas, Oeinck, Karin, Akin, Mine, Keskin, Gulsen, Senayli, Yesim, Kaya, Guner, Kendigelen, Pinar, Tutuncu, Ayse Çiğdem, Hatipoğlu, Zehra, Özcengiz, Dilek, Erdost, Hale Aksu, Öçmen, Elvan, Olguner, Çimen, Ayanoglu, Hilmi, Dincer, Pelin Corman, Umuroglu, Tumay, Azizoglu, Mustafa, Birbiçer, Handan, Doruk, Nurcan, Sagun, Aslı, Baris, Sibel, Dmytriiev, Dmytro, Kuchi, Sridevi, Masip, Nuria, Brooks, Peter, Hare, Alison, Ahmad, Nargis, Casey, Michelle, De Silva, Sam, Dobby, Nadine, Krishnan, Prakash, Sogbodjor, L. Amaki, Walker, Ellie, Walker, Suellen, King, Stephanie, Nicholson, Katy, Quinney, Michelle, Stevens, Paul, Blevin, Andrew, Giombini, Mariangela, Goonasekera, Chulananda, Adil, Sadia, Bew, Stephanie, Bodlani, Carol, Gilpin, Dan, Jinks, Stephanie, Malarkkan, Nalini, Miskovic, Alice, Pad, Rebecca, Barry, Juliet Wolfe, Abbott, Joy, Armstrong, James, Cooper, Natalie, Crate, Lindsay, Emery, John, James, Kathryn, King, Hannah, Martin, Paul, Catenacci, Stefano Scalia, Bomont, Rob, Smith, Paul, Mele, Sara, Verzelloni, Alessandra, Dix, Philippa, Bell, Graham, Gordeva, Elena, McKee, Lesley, Ngan, Esther, Scheffczik, Jutta, Tan, Li-En, Worrall, Mark, Cassar, Carmel, Goddard, Kevin, Barlow, Victoria, Oshan, Vimmi, Shah, Khairi, Bell, Sarah, Daniels, Lisa, Gandhi, Monica, Pachter, David, Perry, Chris, Robertson, Andrew, Scott, Carmen, Waring, Lynne, Barnes, David, Childs, Sophie, Norman, Joanne, Sunderland, Robin, Julia, Dowell, Prisca, Feijten, Pierre, Harlet, Sarah, Herbineaux, Brigitte, Leva, Benoît, Plichon, Katalin, Virág, Engelhardt, Thomas, Hansen, Tom G., de Graaff, Jurgen C., and Virag, Katalin

Published
2022
Full Text
View/download PDF

17. Improving isotopic identification with \emph{INDRA} Silicon-CsI(\emph{Tl}) telescopes

Author

Lopez, O., Parlog, M., Borderie, B., Rivet, M. F., Lehaut, G., Tabacaru, G., Tassan-got, L., Pawlowski, P., Bonnet, E., Bougault, R., Chbihi, A., Dell'Aquila, D., Frankland, J. D., Galichet, E., Gruyer, D., La Commara, M., Neindre, N. Le, Lombardo, I., Manduci, L., Marini, P., Steckmeyer, J. C., Verde, G., Vient, E., and Wieleczko, J. P.

Subjects
Physics - Instrumentation and Detectors, Nuclear Experiment
Abstract

Profiting from previous works done with the \emph{INDRA} multidetector on the description of the light response $\mathcal L$ of the CsI(\emph{Tl}) crystals to different impinging nuclei, we propose an improved $\Delta E - \mathcal L$ identification-calibration procedure for Silicon-Cesium Iodide (Si-CsI) telescopes, namely an Advanced Mass Estimate (\emph{AME}) method. \emph{AME} is compared to the usual, %$"\Delta E - E"$ simple visual analysis of the corresponding two-dimensional map of $\Delta E - E$ type, by using \emph{INDRA} experimental data from nuclear reactions induced by heavy ions in the Fermi energy regime. We show that the capability of such telescopes to identify both the atomic $Z$ and the mass $A$ numbers of light and heavy reaction products, can be quantitatively improved thanks to the proposed approach. This conclusion opens new possibilities to use \emph{INDRA} for studying these reactions especially with radioactive beams. Indeed, the determination of the mass for charged reaction products becomes of paramount importance to shed light on the role of the isospin degree of freedom in the nuclear equation of state., Comment: 19 pages, 10 figures, submitted to NIM A

Published
2017
Full Text
View/download PDF

21. A Robust Machine Learning Model for Diabetic Retinopathy Classification

Author

Gigi Tăbăcaru, Simona Moldovanu, Elena Răducan, and Marian Barbu

Subjects
diabetic retinopathy, image processing, entropy, classifiers, machine learning, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Abstract

Ensemble learning is a process that belongs to the artificial intelligence (AI) field. It helps to choose a robust machine learning (ML) model, usually used for data classification. AI has a large connection with image processing and feature classification, and it can also be successfully applied to analyzing fundus eye images. Diabetic retinopathy (DR) is a disease that can cause vision loss and blindness, which, from an imaging point of view, can be shown when screening the eyes. Image processing tools can analyze and extract the features from fundus eye images, and these corroborate with ML classifiers that can perform their classification among different disease classes. The outcomes integrated into automated diagnostic systems can be a real success for physicians and patients. In this study, in the form image processing area, the manipulation of the contrast with the gamma correction parameter was applied because DR affects the blood vessels, and the structure of the eyes becomes disorderly. Therefore, the analysis of the texture with two types of entropies was necessary. Shannon and fuzzy entropies and contrast manipulation led to ten original features used in the classification process. The machine learning library PyCaret performs complex tasks, and the empirical process shows that of the fifteen classifiers, the gradient boosting classifier (GBC) provides the best results. Indeed, the proposed model can classify the DR degrees as normal or severe, achieving an accuracy of 0.929, an F1 score of 0.902, and an area under the curve (AUC) of 0.941. The validation of the selected model with a bootstrap statistical technique was performed. The novelty of the study consists of the extraction of features from preprocessed fundus eye images, their classification, and the manipulation of the contrast in a controlled way.

Published
2023
Full Text
View/download PDF

22. Morbidity and mortality after anaesthesia in early life: results of the European prospective multicentre observational study, neonate and children audit of anaesthesia practice in Europe (NECTARINE)

Author

Breschan, Christian, Likar, Rudolf, Platzer, Manuela, Edelman, Isole, Eger, Johanes, Heschl, Stefan, Messerer, Brigitte, Vittinghof, Maria, Kroess, Ruth, Stichlberger, Martina, Kahn, David, Pirotte, Thierry, Pregardien, Caroline, Veyckemans, Francis, Stevens, France, Berghmans, Johan, Bauters, Annemie, De Baerdemaeker, Luc, De Hert, Stefan, Lapage, Koen, Parashchanka, Aliaksandra, Van Limmen, Jurgen, Wyffels, Piet, Lauweryns, Julie, Najafi, Nadia, Vundelinckx, Joris, Butković, Diana, Sorić, Ivana Kerovec, Kralik, Sandra, Markić, Ana, Azman, Josip, Markic, Josko, Pupacic, Daniela, Frelich, Michal, Reimer, Petr, Urbanec, Rene, Cajkova, Petra, Mixa, Vladimir, Sedlačkova, Yvona, Knoppova, Lenka, Zlamalova (nee Květoňova), Alena, Vavřina, Martin, Žurek, Jiři, Hansen, Tom, Afshari, Arash, Bille, Anders B., Ellekvist, Marguerite, Ilmoja, Mari-Liis, Moor, Reet, Kikas, Reet, Vali, Merle, Kallio, Kariantti, Reponen, Elisa, Suominen, Pertti, Suvanto, Sami, Vahatalo, Raisa, Kokki, Hannu, Kokki, Merja, Harju, Jarkko, Kokkonen, Miia, Vieri, Jenni, Manner, Tuula, Amory, Catherine, Ludot, Hugues, Bert, Dina, Godart, Juliette, Laffargue, Anne, Dupont, Herve, Urbina, Benjamin, Baujard, Catherine, Roulleau, Philippe, Staiti, Giuseppe, Bordes, Maryline, Gaulain, Karine Nouette, Hamonic, Yann, Semjen, Francois, Jacqmarcq, Olivier, Lejus-Bourdeau, Caroline, Magne, Cecile, Petry, Lea, Ros, Lilica, Zang, Aurelien, Bennis, Mehdi, Coustets, Bernard, Fesseau, Rose, Constant, Isabelle, Khalil, Eliane, Sabourdin, Nada, Audren, Noemie, Descarpentries, Thomas, Fabre, Fanny, Legrand, Aurelien, Druot, Emilie, Orliaguet, Gilles, Sabau, Lucie, Uhrig, Lynn, de la Briere, Francois, Jonckheer, Karin, Mission, Jean-Paul, Scordo, Lucia, Couchepin, Caroline, Dadure, Christophe, De la Arena, Pablo, Hertz, Laurent, Pirat, Philippe, Sola, Chrystelle, Bellon, Myriam, Dahmani, Souhayl, Julien-Marsollier, Florence, Michelet, Daphne, Depret-Donatien, Veronique, Lesage, Anne, Kaufmann, Jost, Laschat, Michael, Wappler, Frank, Becke, Karin, Brunner, Lena, Oppenrieder, Karin, Badelt, Gregor, Hochmuth, Karin, Koller, Bernhard, Reil, Anita, Richter, Sebastian, Fischer, Thomas, Diers, Anja, Schorer, Clemens, Weyland, Andreas, Cohausz, Ruth, Kretz, Franz-Josef, Loffler, Michaela, Wilbs, Markus, Hoehne, Claudia, Ulrici, Johanna, Goeters, Christiane, Flinspach, Armin, Klages, Matthias, Lindau, Simone, Messroghli, Leila, Zacharowski, Kai, Eisner, Christoph, Mueller, Thomas, Richter, Daniel, Schafer, Melanie, Weigand, Markus, Weiterer, Sebastian, Ochsenreiter, Miriam, Scholer, Michael, Terboven, Tom, Eggemann, Isabel, Haussmann, Sascha, Leister, Nicolas, Menzel, Christoph, Trieschmann, Uwe, Yucetepe, Sirin, Keilig, Susanna, Kranke, Peter, Jelting, Yvonne, Baehner, Torsten, Ellerkmann, Richard, Ghamari, Shahab, Neumann, Claudia, Sohle, Martin, Chloropoulou, Pelagia, Ntritsou, Vagia, Papagiannopoulou, Pinelopi, Garini, Eleana, Karafotia, Afroditi, Mammi, Panagoula, Bali, Evangelia, Iordanidou, Despoina, Malisiova, Anna, Polyzoi, Artemis, Tsiotou, Adelais, Sapi, Erzsebet, Szekely, Edgar, Kosik, Nandor, Maraczi, Veronika, Schnur, Janos, Csillag, Judit, Gal, Janos, Gobl, Gergely, Hauser, Balazs, Petroczy, Andras, Tovishazi, Gyula, Blain, Stuart, Gallagher, Sarah, Harte, Sinead, Jackson, Mandy, Meehan, Emma, Nawoor, Zeenat, O’Hare, Brendan, Ross, Mark, Lerro, Daniela, Astuto, Marinella, Grasso, Chiara, Scalisi, Rita, Frasacco, Giulia, Lenares, Elena, Leone, Roberto, Grazzini, Maurizia, Minardi, Carmelo, Zadra, Nicola, Cinnella, Gilda, Cotoia, Antonella, Galante, Dario, De Lorenzo, Brita, Kuppers, Beate, Bottazzi, Giulia, Caramelli, Fabio, Mondardini, Maria C., Rossetti, Emanuele, Picardo, Sergio, Vittori, Alessandro, Camporesi, Anna, Wolfler, Andrea, Calderini, Edoardo, Colantonio, Laura B., Finamore, Simona A., Porro, Giuliana A., Bonfiglio, Rachele, Disma, Nicola, Kotzeva, Svetlana, Mameli, Leila, Mattioli, Girolamo, Micalizzi, Camilla, Montaguti, Alessia, Pistorio, Angela, Zanaboni, Clelia, Guddo, Anna, Neba, Gerald R., Favarato, Moreno, Locatelli, Bruno G., Maffioletti, Micol, Sonzogni, Valter, Garra, Rossella, Sammartino, Maria, Sbaraglia, Fabio, Cortegiani, Andrea, Moscarelli, Alessandra, Attanasi, Elena, Tesoro, Simonetta, Agapiti, Cristina, Pinzoni, Francesca, Vezzoli, Cesare, Bilotta, Federico, Barzdina, Arta, Straume, Zane, Zundane, Anda, Lukosiene, Laura, Maraulaite, Irena, Razlevice, Ilona, Schmitz, Bernd, Mifsud, Stephanie, Aehling, Carolin, Allison, Celia, De Boer, Rients, Emal, Dina, Stevens, Markus, Buitenhuis, Marielle, de Graaff, Jurgen, De Liefde, Inge, Machotta, Andreas, Scoones, Gail, Staals, Lonneke, Tomas, Jeremy, Van der, Anouk, Dortmont, Knijff-van, Veldhuizen, Marianne, Alders, David, Buhre, Wolfgang, Schafrat, Eva, Schreiber, Jan, Vermeulen, Petronella M., Hendriks, Mark, Lako, Sandra, Voet-Lindner, Marieke, Pieters, Barbe, Scheffer, Gert-Jan, Tielens, Luc, Absalom, Anthony R., Bergsma, Margot, De Ruiter, Joke, Meier, Sascha, Volkers, Martin, Zweers, Tjerk, Beukers, Anne M., Boer, Christa, Dertinger, Jurgen, Numan, Sandra, Van Zaane, Bas, Boerke, Wenche B., Ekiz, Nil, Stensrud, Kristoffer, Drage, Inger M., Isern, Erik R., Bartkowska-Sniatkowska, Alicja, Grzeskowiak, Malgorzata, Juzwa-Sobieraj, Magdalena, Rosada-Kurasińska, Jowita, Baranowski, Artur, Jakubowska, Karina, Lewandowska, Dorota, Mierzewska-Schmidt, Magdalena, Sawicki, Piotr, Urban-Lechowicz, Magdalena, Przemyslaw, Pomianek, Zielinska, Marzena, Leal, Teresa, Soares, Maria, Pina, Pedro, Pinho, Silvia, Patuleia, Maria Domingas, Esteves, Catarina C., Salgado, Helena, Santos, Maria J., Badeti, Rodica, Cindea, Iulia, Oana, Loredana, Gurita, Adriana, Ilie, Luminita, Mocioiu, Gabriel, Tabacaru, Radu, Trante, Irina, Munteanu, Valentin, Morariu, Mihai, Nyiri, Emese, Budic, Ivana, Marjanovic, Vesna, Drašković, Biljana, Pandurov, Marina, Ilic, Jordanka, Mandras, Ana, Rados, Zdenka, Stankovic, Nikola, Suica, Maja, Vasiljevic, Sladjana, Knezevic, Mirjana, Milojevic, Irina, Petrov, Ivana, Racic, Selena Puric, Simic, Dusica, Simic, Irena, Stevic, Marija, Vulicevic, Irena, Cabanova, Barbora, Hanula, Miloslav, Berger, Jelena, Janjatovic, Darja, Štupnik, Špela P., Kohn, Ivan, Lindestam, Ulf, Reinhard, Jarl, Castellheim, Albert, Sandstrom, Kerstin, Bengt, Sporre, Dorenberg, Rainer, Frykholm, Peter, Garcia, Maria, Kvarnstrom, Ann, Ponten, Emma, Bruelisauer, Thomas, Erdoes, Gabor, Kaiser, Heiko, Marchon, Mathias, Riva, Thomas, Seiler, Stefan, Bogli, Yann, Dolci, Mirko, Marcucci, Carine, Habre, Walid, Pichon, Isabelle, Vutskits, Laszlo, Casutt, Mattias, Holzle, Martin, Hurni, Thomas, Johr, Martin, Anna-Ursina, Malar, Mauch, Jacqueline, Erb, Thomas, Oeinck, Karin, Akin, Mine, Keskin, Gulsen, Senayli, Yesim, Kaya, Guner, Kendigelen, Pinar, Tutuncu, Ayse C., Hatipoğlu, Zehra, Ozcengiz, Dilek, Erdost, Hale Aksu, Ocmen, Elvan, Olguner, Cimen, Ayanoglu, Hilmi, Dincer, Pelin C., Umuroglu, Tumay, Azizoglu, Mustafa, Birbicer, Handan, Doruk, Nurcan, Sagun, Aslı, Baris, Sibel, Dmytriiev, Dmytro, Kuchi, Sridevi, Masip, Nuria, Brooks, Peter, Hare, Alison, Ahmad, Nargis, Casey, Michelle, De Silva, Sam, Dobby, Nadine, Krishnan, Prakash, Sogbodjor, L. Amaki, Walker, Ellie, Walker, Suellen, King, Stephanie, Nicholson, Katy, Quinney, Michelle, Stevens, Paul, Blevin, Andrew, Giombini, Mariangela, Goonasekera, Chulananda, Adil, Sadia, Bew, Stephanie, Bodlani, Carol, Gilpin, Dan, Jinks, Stephanie, Malarkkan, Nalini, Miskovic, Alice, Pad, Rebecca, Barry, Juliet W., Abbott, Joy, Armstrong, James, Cooper, Natalie, Crate, Lindsay, Emery, John, James, Kathryn, King, Hannah, Martin, Paul, Catenacci, Stefano S., Bomont, Rob, Smith, Paul, Mele, Sara, Verzelloni, Alessandra, Dix, Philippa, Bell, Graham, Gordeva, Elena, McKee, Lesley, Ngan, Esther, Scheffczik, Jutta, Tan, Li-En, Worrall, Mark, Cassar, Carmel, Goddard, Kevin, Barlow, Victoria, Oshan, Vimmi, Shah, Khairi, Bell, Sarah, Daniels, Lisa, Gandhi, Monica, Pachter, David, Perry, Chris, Robertson, Andrew, Scott, Carmen, Waring, Lynne, Barnes, David, Childs, Sophie, Norman, Joanne, Sunderland, Robin, Virag, Katalin, Hansen, Tom G., Harlet, Pierre, Walker, Suellen M., de Graaff, Jurgen C., and Engelhardt, Thomas

Published
2021
Full Text
View/download PDF

23. Difficult tracheal intubation in neonates and infants. NEonate and Children audiT of Anaesthesia pRactice IN Europe (NECTARINE): a prospective European multicentre observational study

Author

Breschan, Christian, Likar, Rudolf, Platzer, Manuela, Edelman, Isole, Eger, Johanes, Heschl, Stefan, Messerer, Brigitte, Vittinghof, Maria, Kroess, Ruth, Stichlberger, Martina, Kahn, David, Pirotte, Thierry, Pregardien, Caroline, Veyckemans, Francis, Stevens, France, Berghmans, Johan, Bauters, Annemie, De Baerdemaeker, Luc, De Hert, Stefan, Lapage, Koen, Parashchanka, Aliaksandra, Van Limmen, Jurgen, Wyffels, Piet, Lauweryns, Julie, Najafi, Nadia, Vundelinckx, Joris, Butković, Diana, Kerovec Sorić, Ivana, Kralik, Sandra, Markić, Ana, Azman, Josip, Markic, Josko, Pupacic, Daniela, Frelich, Michal, Reimer, Petr, Urbanec, René, Cajková, Petra, Mixa, Vladimír, Sedláčková, Yvona, Knoppová, Lenka, Zlámalová (neé Květoňová), Alena, Vavřina, Martin, Žurek, Jiří, Hansen, Tom, Afshari, Arash, Bille, Anders Bastholm, Ellekvist, Marguerite, Ilmoja, Mari-Liis, Moor, Reet, Kikas, Reet, Väli, Merle, Kallio, Kariantti, Reponen, Elisa, Suominen, Pertti, Suvanto, Sami, Vähätalo, Raisa, Kokki, Hannu, Kokki, Merja, Harju, Jarkko, Kokkonen, Miia, Vieri, Jenni, Manner, Tuula, Amory, Catherine, Ludot, Hugues, Bert, Dina, Godart, Juliette, Laffargue, Anne, Dupont, Hervé, Urbina, Benjamin, Baujard, Catherine, Roulleau, Philippe, Staiti, Giuseppe, Bordes, Maryline, Nouette Gaulain, Karine, Hamonic, Yann, Semjen, François, Jacqmarcq, Olivier, Lejus-Bourdeau, Caroline, Magne, Cécile, Petry, Léa, Ros, Lilica, Zang, Aurélien, Bennis, Mehdi, Coustets, Bernard, Fesseau, Rose, Constant, Isabelle, Khalil, Eliane, Sabourdin, Nada, Audren, Noemie, Descarpentries, Thomas, Fabre, Fanny, Legrand, Aurélien, Druot, Emilie, Orliaguet, Gilles, Sabau, Lucie, Uhrig, Lynn, de la Brière, François, Jonckheer, Karin, Mission, Jean-Paul, Scordo, Lucia, Couchepin, Caroline, Dadure, Christophe, De la Arena, Pablo, Hertz, Laurent, Pirat, Philippe, Sola, Chrystelle, Bellon, Myriam, Dahmani, Souhayl, Julien-Marsollier, Florence, Michelet, Daphne, Depret-Donatien, Veronique, Lesage, Anne, Kaufmann, Jost, Laschat, Michael, Wappler, Frank, Becke, Karin, Brunner, Lena, Oppenrieder, Karin, Badelt, Gregor, Hochmuth, Karin, Koller, Bernhard, Reil, Anita, Richter, Sebastian, Fischer, Thomas, Diers, Anja, Schorer, Clemens, Weyland, Andreas, Cohausz, Ruth, Kretz, Franz-Josef, Löffler, Michaela, Wilbs, Markus, Hoehne, Claudia, Ulrici, Johanna, Goeters, Christiane, Flinspach, Armin, Klages, Matthias, Lindau, Simone, Messroghli, Leila, Zacharowski, Kai, Eisner, Christoph, Mueller, Thomas, Richter, Daniel, Schäfer, Melanie, Weigand, Markus, Weiterer, Sebastian, Ochsenreiter, Miriam, Schöler, Michael, Terboven, Tom, Eggemann, Isabel, Haussmann, Sascha, Leister, Nicolas, Menzel, Christoph, Trieschmann, Uwe, Yücetepe, Sirin, Keilig, Susanna, Kranke, Peter, Jelting, Yvonne, Baehner, Torsten, Ellerkmann, Richard, Ghamari, Shahab, Neumann, Claudia, Söhle, Martin, Chloropoulou, Pelagia, Ntritsou, Vagia, Papagiannopoulou, Pinelopi, Garini, Eleana, Karafotia, Afroditi, Mammi, Panagoula, Bali, Evangelia, Iordanidou, Despoina, Malisiova, Anna, Polyzoi, Artemis, Tsiotou, Adelais, Sapi, Erzsebet, Székely, Edgar, Kosik, Nandor, Maráczi, Veronika, Schnur, Janos, Csillag, Judit, Gál, János, Göbl, Gergely, Hauser, Balázs, Petróczy, András, Tövisházi, Gyula, Blain, Stuart, Gallagher, Sarah, Harte, Sinead, Jackson, Mandy, Meehan, Emma, Nawoor, Zeenat, O’Hare, Brendan, Ross, Mark, Lerro, Daniela, Astuto, Marinella, Grasso, Chiara, Scalisi, Rita, Frasacco, Giulia, Lenares, Elena, Leone, Roberto, Grazzini, Maurizia, Minardi, Carmelo, Zadra, Nicola, Cinnella, Gilda, Cotoia, Antonella, Galante, Dario, De Lorenzo, Brita, Kuppers, Beate, Bottazzi, Giulia, Caramelli, Fabio, Mondardini, Maria Cristina, Rossetti, Emanuele, Picardo, Sergio, Vittori, Alessandro, Camporesi, Anna, Wolfler, Andrea, Calderini, Edoardo, Colantonio, Laura Brigitta, Finamore, Simona Anna, Porro, Giuliana Anna, Bonfiglio, Rachele, Disma, Nicola, Kotzeva, Svetlana, Mameli, Leila, Mattioli, Girolamo, Micalizzi, Camilla, Montaguti, Alessia, Pistorio, Angela, Zanaboni, Clelia, Guddo, Anna, Neba, Gerald Rogan, Favarato, Moreno, Locatelli, Bruno Guido, Maffioletti, Micol, Sonzogni, Valter, Garra, Rossella, Sammartino, Maria, Sbaraglia, Fabio, Cortegiani, Andrea, Moscarelli, Alessandra, Attanasi, Elena, Tesoro, Simonetta, Agapiti, Cristina, Pinzoni, Francesca, Vezzoli, Cesare, Bilotta, Federico, Barzdina, Arta, Straume, Zane, Zundane, Anda, Lukosiene, Laura, Maraulaite, Irena, Razlevice, Ilona, Schmitz, Bernd, Mifsud, Stephanie, Aehling, Carolin, Allison, Celia, De Boer, Rients, Emal, Dina, Stevens, Markus, Buitenhuis, Marielle, de Graaff, Jurgen, De Liefde, Inge, Machotta, Andreas, Scoones, Gail, Staals, Lonneke, Tomas, Jeremy, Van der Knijff-van Dortmont, Anouk, Veldhuizen, Marianne, Alders, David, Buhre, Wolfgang, Schafrat, Eva, Schreiber, Jan, Vermeulen, Petronella Mari, Hendriks, Mark, Lako, Sandra, Voet-Lindner, Marieke, Pieters, Barbe, Scheffer, Gert-Jan, Tielens, Luc, Absalom, Anthony R., Bergsma, Margot, De Ruiter, Joke, Meier, Sascha, Volkers, Martin, Zweers, Tjerk, Beukers, Anne M., Boer, Christa, Dertinger, Jurgen, Numan, Sandra, Van Zaane, Bas, Boerke, Wenche B., Ekiz, Nil, Stensrud, Kristoffer, Drage, Inger Marie, Isern, Erik Ramon, Bartkowska-Sniatkowska, Alicja, Grzeskowiak, Malgorzata, Juzwa-Sobieraj, Magdalena, Rosada-Kurasińska, Jowita, Baranowski, Artur, Jakubowska, Karina, Lewandowska, Dorota, Mierzewska-Schmidt, Magdalena, Sawicki, Piotr, Urban-Lechowicz, Magdalena, Przemyslaw, Pomianek, Zielinska, Marzena, Leal, Teresa, Soares, Maria, Pina, Pedro, Pinho, Sílvia, Patuleia, Maria Domingas, Esteves, Catarina Cruz, Salgado, Helena, Santos, Maria João, Badeti, Rodica, Cindea, Iulia, Oana, Loredana, Gurita, Adriana, Ilie, Luminita, Mocioiu, Gabriel, Tabacaru, Radu, Trante, Irina, Munteanu, Valentin, Morariu, Mihai, Nyíri, Emese, Budic, Ivana, Marjanovic, Vesna, Drašković, Biljana, Pandurov, Marina, Ilic, Jordanka, Mandras, Ana, Rados, Zdenka, Stankovic, Nikola, Suica, Maja, Vasiljevic, Sladjana, Knezevic, Mirjana, Milojevic, Irina, Petrov, Ivana, Puric Racic, Selena, Simic, Dusica, Simic, Irena, Stevic, Marija, Vulicevic, Irena, Cabanová, Barbora, Hanula, Miloslav, Berger, Jelena, Janjatovic, Darja, Pirtovšek Štupnik, Špela, Méndez, Dolores, Pino, Gema, Rubio, Paloma, Izquierdo, Alberto, López, Silvia, González Serrano, Cristina, Cebrián, Jesús, Peleteiro, Ana, Del Rey de Diego, Pilar, Martínez García, Ernesto, Tormo de las Heras, Carolina, Troncoso Montero, Pablo, Arbona, Celia, Artés, David, Chamizo, Alicia, Serrano, Silvia, Suarez Comas, Montserrat, Escribá, Francisco, Auli, Cristina, Pérez Pardo, Osvaldo, Sierra Biddle, Natalia, Suárez Castaño, Ceferina, Villalobos Rico, María Isabel, Manrique Muñoz, Susana, García Martínez, Irene, Montferrer Estruch, Nuria, Vilardell Ortíz, Elena, Poves-Álvarez, Rodrigo, Kohn, Ivan, Lindestam, Ulf, Reinhard, Jarl, Castellheim, Albert, Sandström, Kerstin, Bengt, Sporre, Dörenberg, Rainer, Frykholm, Peter, Garcia, Maria, Kvarnström, Ann, Pontén, Emma, Bruelisauer, Thomas, Erdoes, Gabor, Kaiser, Heiko, Marchon, Mathias, Riva, Thomas, Seiler, Stefan, Bögli, Yann, Dolci, Mirko, Marcucci, Carine, Habre, Walid, Pichon, Isabelle, Vutskits, Laszlo, Casutt, Mattias, Hölzle, Martin, Hurni, Thomas, Jöhr, Martin, Malär, Anna-Ursina, Mauch, Jacqueline, Erb, Thomas, Oeinck, Karin, Akin, Mine, Keskin, Gulsen, Senayli, Yesim, Kaya, Guner, Kendigelen, Pinar, Tutuncu, Ayse Çiğdem, Hatipoğlu, Zehra, Özcengiz, Dilek, Erdost, Hale Aksu, Öçmen, Elvan, Olguner, Çimen, Ayanoglu, Hilmi, Dincer, Pelin Corman, Umuroglu, Tumay, Azizoglu, Mustafa, Birbiçer, Handan, Doruk, Nurcan, Sagun, Aslı, Baris, Sibel, Dmytriiev, Dmytro, Kuchi, Sridevi, Masip, Nuria, Brooks, Peter, Hare, Alison, Ahmad, Nargis, Casey, Michelle, De Silva, Sam, Dobby, Nadine, Krishnan, Prakash, Sogbodjor, L. Amaki, Walker, Ellie, Walker, Suellen, King, Stephanie, Nicholson, Katy, Quinney, Michelle, Stevens, Paul, Blevin, Andrew, Giombini, Mariangela, Goonasekera, Chulananda, Adil, Sadia, Bew, Stephanie, Bodlani, Carol, Gilpin, Dan, Jinks, Stephanie, Malarkkan, Nalini, Miskovic, Alice, Pad, Rebecca, Wolfe Barry, Juliet, Abbott, Joy, Armstrong, James, Cooper, Natalie, Crate, Lindsay, Emery, John, James, Kathryn, King, Hannah, Martin, Paul, Scalia Catenacci, Stefano, Bomont, Rob, Smith, Paul, Mele, Sara, Verzelloni, Alessandra, Dix, Philippa, Bell, Graham, Gordeva, Elena, McKee, Lesley, Ngan, Esther, Scheffczik, Jutta, Tan, Li-En, Worrall, Mark, Cassar, Carmel, Goddard, Kevin, Barlow, Victoria, Oshan, Vimmi, Shah, Khairi, Bell, Sarah, Daniels, Lisa, Gandhi, Monica, Pachter, David, Perry, Chris, Robertson, Andrew, Scott, Carmen, Waring, Lynne, Barnes, David, Childs, Sophie, Norman, Joanne, Sunderland, Robin, Julia, Dowell, Prisca, Feijten, Pierre, Harlet, Sarah, Herbineaux, Brigitte, Leva, Benoît, Plichon, Katalin, Virág, Virag, Katalin, and Engelhardt, Thomas

Published
2021
Full Text
View/download PDF

24. Student’s voice – What do students appreciate and expect to receive from a master program, a cross-sectional analysis

Author

Cristina Dumitru Tăbăcaru, Georgiana Dumitru, and Maria-Bianca Deaconu

Subjects
higher education, master degree program, motivation, professional development, preparing future teachers, Education (General), L7-991
Abstract

Student’s voice is frequently not relevant for study program design. The issue addressed in this study is the analysis of student voice in master programs. It does this by aiming to identify student perceptions and expectations, their achievement goals, as well as students’ perceptions and expectation for an optimal learning environment. This addresses their need and desire to pursue a program which supports workplace trends. Cross-sectional research was undertaken to understand students’ demands in master’s programs, their learning strategies and study skills and accordingly increase opportunities for learning and career advancement with a structured and comprehensive approach. The results confirm that students are highly motivated when pursuing master programs, expecting to receive a solid professional preparation and benefit from practical activities. The impact of the master program activities on learning outcomes of students was ranked in descending order of the average score: educational objectives attained (M = 5.36), increased interest for learning and professional development (M = 5.39), the great impact of practical activities on learning (M = 5.41), intellectual challenging activities (M = 5.43). Faculty and university management should consider student voice to improve and innovate master programs, being valuable experts when it comes to their own learning experience.

Published
2022
Full Text
View/download PDF

25. Analytical, Numerical and Experimental Analysis of a Positive Displacement Cam Mechanism—A Case Study

Author

Eugen Merticaru, Vasile Merticaru, Gheorghe Nagîț, Andrei Marius Mihalache, Liviu Lucian Tăbăcaru, and Marius Ionuț Rîpanu

Subjects
cam mechanism, dynamic behavior, influence factors, numerical modeling and simulation, experimental research, empirical mathematical models, Mechanical engineering and machinery, TJ1-1570
Abstract

Cam mechanisms, covering a large structural variety, are widely used in machinery, mainly as components of automated systems. Their functioning behavior is affected by negative dynamic phenomena determined by specific high velocities and acceleration rates. Within the various types of research on the dynamic behavior of cam mechanisms, this study addresses the need to clarify the influence of geometrical parameters and technological conditions on some indicators of the jump phenomenon in contact loss for a cam-follower mechanism. This particularly developed case study referred to a mechanism with a profiled grooved disk cam and oscillating follower. To highlight the influence of the cam-follower contact elasticity on the jump phenomenon, two dynamic models were developed: one considering rigid elements in contact and the second considering elastic cam-follower contact. The models were tested within a virtually simulated experiment, and the numerical simulation results evidenced the influence of input factors like the applied load on the mechanism, the clearance in the cam-follower kinematic pair, and the rotational speed of the cam, and the inertia moment was reduced to the follower on some indicators of the jump phenomenon. Validation FEA and experiments were performed, proving the reliable appropriateness of the dynamic model based on elastic cam-follower contact.

Published
2023
Full Text
View/download PDF

26. Nd:Yag Laser Transluminal Embolysis: A Therapeutic Approach in Retinal Artery Occlusion.

Author

Tăbăcaru, Bogdana, Abboud, George, Munteanu, Mihnea, Stanca, Simona, and Stanca, Horia Tudor

Subjects
*RETINAL artery occlusion, *RETINAL artery, *ND-YAG lasers, *OPTIC disc, *EMERGENCY management
Abstract

Background: Central and branch retinal artery occlusion (CRAO and BRAO) are critical causes of acute vision loss, predominantly affecting older adults with systemic vascular pathology. These occlusions typically result from embolic events, leading to partial or complete retinal ischemia. Methods: This retrospective case series report details of our 10-year experience using the 1064 nm Nd:YAG laser for Transluminal Nd:YAG Embolysis (TYE) in order to lyse visible emboli within the retinal arteries. Results: We conducted a retrospective case series involving 18 patients treated by TYE for different retinal arteries occlusions between 2014 and 2024. TYE effectively restored blood flow in the occluded arteries, with variable but generally favorable visual outcomes. Our article highlights significant clinical and interventional aspects of three treated patients: a BRAO case with multiple transluminal emboli, a case of double BRAO and a CRAO case. We also report the successful use of TYE for intraluminal lysing of an embolus located outside the optic disc. The procedures were well-tolerated, with minor complications such as preretinal or vitreous hemorrhages resolving spontaneously. Conclusions: TYE is a minimally invasive therapeutic option for retinal artery occlusion with visible emboli, particularly when intervention occurs shortly after the onset of symptoms. Compared to observation, TYE can improve visual outcomes and reduce the risk of permanent vision loss, presenting a significant advancement in the management of this ophthalmic emergency. The worldwide experience with TYE is continuously increasing. Further research with larger cohorts is recommended to validate these results and refine the treatment protocol. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

27. Seven continents. One sky.

Author

Vuțoiu, Beatrice Georgiana, Tăbăcaru, Maria Bianca, Beşchea, George Andrei, Câmpean, Ştefan loan, Bulmez, Alexandru Mihai, and Năstase, Gabriel

Subjects
CLIMATE change, GLOBAL warming, RENEWABLE energy sources, SUSTAINABILITY
Abstract

This paper explores the global impacts of climate change and pollution across diverse regions, highlighting unique challenges and innovative initiatives. From rising temperatures and severe droughts in Africa and Australia to melting glaciers in the Arctic and pollution in Asia, each continent faces significant environmental threats. Despite these challenges, countries are making strides in renewable energy, conservation, and community-based actions. International agreements and local indigenous practices play vital roles in these efforts. The paper concludes with a call for continued global cooperation and local action, emphasizing the potential for a sustainable future through collective innovation and resilience-building. Through this comprehensive analysis, the paper underscores the urgency and possibility of addressing global warming and pollution for a healthier planet. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

30. Measurement of the 10 keV resonance in the $^{10}$B($p, \alpha_0$)$^7$Be reaction via the Trojan Horse Method

Author

Spitaleri, C., Lamia, L., Puglia, S. M. R., Romano, S., La Cognata, M., Crucilla, V., Pizzone, R. G., Rapisarda, G. G., Sergi, M. L., Del Santo, M. Gimenez, Carlin, N., Munhoz, M. G., Souza, F. A., de Toledo, A. Szanto, Tumino, A., Irgaziev, B., Mukhamedzhanov, A., Tabacaru, G., Burjan, V., Kroha, V., Hons, Z., Mrazek, J., Zhou, Shu-Hua, Li, Chengbo, Wen, Qungang, Wakabayashi, Y., and Yamaguchi, H.

Subjects
Nuclear Experiment
Abstract

The $^{10}$B(p,$\alpha_0$)$^7$Be bare nucleus astrophysical S(E)-factor has been measured for the first time at energies from about 100 keV down to about 5 keV by means of the Trojan Horse Method (THM). In this energy region, the S(E)-factor is strongly dominated by the 8.699 MeV $^{11}$C level (J$^{\pi}$=$\frac{5}{2}$$^+$), producing an s-wave resonance centered at about 10 keV in the entrance channel. Up to now, only the high energy tail of this resonant has been measured, while the low-energy trend is extrapolated from the available direct data. The THM has been applied to the quasi-free $^2$H($^{10}$B,$\alpha_0$$^7$Be)n reaction induced at a boron-beam energy of 24.5 MeV. An accurate analysis brings to the determination of the $^{10}$B(p,$\alpha_0$)$^7$Be S(E)-factor and of the corresponding electron screening potential $U_e$, thus giving for the first time an independent evaluation of it., Comment: Authors thank the (anonymous) referee for detailed comments and suggestions. The paper is already submitted to Physical Review C

Published
2014
Full Text
View/download PDF

31. Quantitative Parameters Relevant for Diabetic Macular Edema Evaluation by Optical Coherence Tomography Angiography

Author

Alina-Simona Lazăr, Horia T. Stanca, Bogdana Tăbăcaru, Ciprian Danielescu, Mihnea Munteanu, and Simona Stanca

Subjects
diabetic macular edema, optical coherence tomography angiography, vessel density, perfusion density, FAZ, fractal dimension, Medicine (General), R5-920
Abstract

Diabetic macular edema (DME) is one of the main ocular complications of diabetes mellitus (DM) that can lead to important vision loss in diabetic patients. In clinical practice, there are cases of DME with unsatisfying treatment responses, despite adequate therapeutic management. Diabetic macular ischemia (DMI) is one of the causes suggested to be associated with the persistence of fluid accumulation. Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality, able to give in-depth information about retinal vascularization in a 3-dimensional manner. The OCTA devices currently available can provide various OCTA metrics that quantitatively assess the retinal microvasculature. In this paper, we reviewed the results of multiple studies that investigated the changes in OCTA metrics in the setting of DME and their possible contribution to the diagnosis, therapeutic management, follow-up and prognosis of patients with DME. We analyzed and compared relevant studies that investigated OCTA parameters related to changes in macular perfusion in the setting of DME and we evaluated the correlations between DME and several quantitative parameters, such as vessel density (VD), perfusion density (PD), foveal avascular zone (FAZ)-related parameters, as well as complexity indices of retinal vasculature. The results of our research showed that OCTA metrics, evaluated especially at the level of the deep vascular plexus (DVP), are useful instruments that can contribute to the assessment of patients with DME.

Published
2023
Full Text
View/download PDF

32. Peripheral elastic and inelastic scattering of 17,18O on light targets at 12 MeV/nucleon

Author

Al-Abdullah, T., Carstoiu, F., Gagliardi, C. A., Tabacaru, G., Trache, L., and Tribble, R. E.

Subjects
Nuclear Experiment
Abstract

A study of interaction of neutron rich oxygen isotopes $^{17,18}$O with light targets has been undertaken in order to determine the optical potentials needed for the transfer reaction $^{13}$C($^{17}$O,$^{18}$O)$^{12}$C. Optical potentials in both incoming and outgoing channels have been determined in a single experiment. This transfer reaction was used to infer the direct capture rate to the $^{17}$F(p,$\gamma$)$^{18}$Ne which is essential to estimate the production of $^{18}$F at stellar energies in ONe novae. The success of the asymptotic normalization coefficient (ANC) as indirect method for astrophysics is guaranteed if the reaction mechanism is peripheral and the DWBA cross section calculations are warranted and stable against OMP used. We demonstrate the stability of the ANC method and OMP results using good quality elastic and inelastic scattering data with stable beams before extending the procedures to rare ion beams. The peripherality of our reaction is inferred from a semiclassical decomposition of the total scattering amplitude into barrier and internal barrier components. Comparison between elastic scattering of $^{17}$O, $^{18}$O and $^{16}$O projectiles is made., Comment: 14 pages, 19 figures

Published
2014
Full Text
View/download PDF

33. Retromode Imaging in Age-Related Macular Degeneration

Author

Antonia-Elena Ranetti, Horia Tudor Stanca, Bogdana Tăbăcaru, Adrian Teodoru, Mihnea Munteanu, and Simona Stanca

Subjects
age-related macular degeneration, retromode imaging, pseudo-three-dimensional, scanning laser ophthalmoscope, multimodal imaging, Medicine (General), R5-920
Abstract

Background and Objectives: Retromode is a relatively new retinal-imaging technique that is based on the transillumination principle and is obtained with a scanning laser ophthalmoscope that uses light in the infrared spectrum. The laser light penetrates into the deep retinal layers and the choroid. Retromode images are captured with a laterally displaced aperture, and the detector captures only the scattered light. The result is a high-contrast pseudo-three-dimensional image. Age-related macular degeneration (AMD) is a disabling retinal disease. AMD is characterized in its early stage by small and intermediate drusen formation, while the signs of intermediate AMD are large drusen and/or pigmentary abnormalities. Late AMD has two forms, geographic atrophy, which is the advanced form of dry AMD, and wet AMD. Most of the lesions of AMD are located in the outer layers of the retina. This new imaging method can provide a glimpse of the deep retinal layers’ topographic changes in a non-invasive, fast, and effective way that can match the other imaging tools available. Materials and Methods: The literature review was performed by searching the PubMed database using the following combination of keywords: retromode imaging and age-related macular degeneration. Relevant images similar to the ones in the literature were identified and used as models. Results: The purpose of this article is to highlight the utility of incorporating retromode imaging into the multimodal evaluation of the retina in patients with AMD and to gather and integrate these findings into a brief but comprehensive paper. Conclusions: Retromode imaging is a good screening, diagnosis, and monitoring tool for patients with AMD.

Published
2023
Full Text
View/download PDF

35. The beta Decay of 32Cl: Precision gamma-Ray Spectroscopy and a Measurement of Isospin-Symmetry Breaking

Author

Melconian, D., Triambak, S., Bordeanu, C., García, A., Hardy, J. C., Iacob, V. E., Nica, N., Park, H. I., Tabacaru, G., Trache, L., Towner, I. S., Tribble, R. E., and Zhai, Y.

Subjects
Nuclear Experiment, Nuclear Theory
Abstract

Background: Models to calculate small isospin-symmetry-breaking effects in superallowed Fermi decays have been placed under scrutiny in recent years. A stringent test of these models is to measure transitions for which the correction is predicted to be large. The decay of 32Cl decay provides such a test case. Purpose: To improve the gamma yields following the beta decay of 32Cl and to determine the ft values of the the beta branches, particularly the one to the isobaric-analogue state in 32S. Method: Reaction-produced and recoil-spectrometer-separated 32Cl is collected in tape and transported to a counting location where beta-gamma coincidences are measured with a precisely-calibrated HPGe detector. Results: The precision on the gamma yields for most of the known beta branches has been improved by about an order of magnitude, and many new transitions have been observed. We have determined 32Cl-decay transition strengths extending up to E_x~11 MeV. The ft value for the decay to the isobaric-analogue state in 32S has been measured. A comparison to a shell-model calculation shows good agreement. CONCLUSIONS: We have experimentally determined the isospin-symmetry-breaking correction to the superallowed transition of this decay to be (\delta_C-\delta_NS)_exp=5.4(9)%, significantly larger than for any other known superallowed Fermi transition. This correction agrees with a shell-model calculation, which yields \delta_C-\delta_NS=4.8(5)%. Our results also provide a way to improve the measured ft values for the beta decay of 32Ar.

Published
2011
Full Text
View/download PDF

36. Experimental Validation of the Largest Calculated Isospin-Symmetry-Breaking Effect in a Superallowed Fermi Decay

Author

Melconian, D., Triambak, S., Bordeanu, C., García, A., Hardy, J. C., Iacob, V. E., Nica, N., Park, H. I., Tabacaru, G., Trache, L., Towner, I. S., Tribble, R. E., and Zhai, Y.

Subjects
Nuclear Experiment, Nuclear Theory
Abstract

A precision measurement of the gamma yields following the beta decay of 32Cl has determined its isobaric analogue branch to be (22.47^{+0.21}_{-0.19})%. Since it is an almost pure Fermi decay, we can also determine the amount of isospin-symmetry breaking in this superallowed transition. We find a very large value, delta_C=5.3(9)%, in agreement with a shell-model calculation. This result sets a benchmark for isospin-symmetry-breaking calculations and lends support for similarly-calculated, yet smaller, corrections that are currently applied to 0+ -> 0+ transitions for tests of the Standard Model.

Published
2011
Full Text
View/download PDF

37. New High-Precision Measurement of the Reaction Rate of the 18O(p,alpha)15N Reaction via THM

Author

La Cognata, M., Spitaleri, C., Mukhamedzhanov, A. M., Irgaziev, B., Tribble, R. E., Banu, A., Cherubini, S., Coc, A., Crucilla, V., Goldberg, V. Z., Gulino, M., Kiss, G. G., Lamia, L., Chengbo, L., Mrazek, J., Pizzone, R. G., Puglia, S. M. R., Rapisarda, G. G., Romano, S., Sergi, M. L., Tabacaru, G., Trache, L., Trzaska, W., and Tumino, A.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

The 18O(p,alpha)15N reaction rate has been extracted by means of the Trojan-Horse method. For the first time the contribution of the 20-keV peak has been directly evaluated, giving a value about 35% larger than previously estimated. The present approach has allowed to improve the accuracy of a factor 8.5, as it is based on the measured strength instead of educated guesses or spectroscopic measurements. The contribution of the 90-keV resonance has been determined as well, which turned out to be of negligible importance to astrophysics., Comment: 6 pages, 4 figures, 1 table. Torino workshop 2008

Published
2009
Full Text
View/download PDF

38. Beta-delayed proton decay of proton-rich nuclei 23Al and 31Cl and explosive H-burning in classical novae

Author

Trache, L., Banu, A., Hardy, J. C., Iacob, V. E., McCleskey, M., Simmons, E., Tabacaru, G., Tribble, R. E., Aysto, J., Jokinen, A., Saastamoinen, A., Bentley, M. A., Jenkins, D., Davinson, T., Woods, P. J., Achouri, N. L., and Roeder, B.

Subjects
Nuclear Experiment
Abstract

We have developed a technique to measure beta-delayed proton decay of proton-rich nuclei produced and separated with the MARS recoil spectrometer of Texas A&M University. The short-lived radioactive species are produced in-flight, separated, then slowed down (from about 40 MeV/u) and implanted in the middle of very thin Si detectors. The beam is pulsed and beta-p decay of the pure sources collected in beam is measured between beam pulses. Implantation avoids the problems with detector windows and allows us to measure protons with energies as low as 200 keV from nuclei with lifetimes of 100 ms or less. Using this technique, we have studied the isotopes 23Al and 31Cl, both important for understanding explosive H-burning in novae. They were produced in the reactions 24Mg(p,2n)23Al and 32S(p,2n)31Cl, respectively, in inverse kinematics, from stable beams at 48 and 40 MeV/u, respectively. We give details about the technique, its performances and the results for 23Al and 31Cl beta-p decay. The technique has shown a remarkable selectivity to beta-delayed charged-particle emission and would work even at radioactive beam rates of a few pps. The states populated are resonances for the radiative proton capture reactions 22Na(p,g)23Mg and 30P(p,g)31S, respectively., Comment: Submitted on Oct. 6, 2008 for the Proceedings of the 10th Symposium on Nuclei in the Cosmos Mackinac Island, Michigan, USA 27 July - 1 August, 2008 Acceptance pending

Published
2009

39. Convolutional Neural Network–Machine Learning Model: Hybrid Model for Meningioma Tumour and Healthy Brain Classification.

Author

Moldovanu, Simona, Tăbăcaru, Gigi, and Barbu, Marian

Subjects
MACHINE learning, CONVOLUTIONAL neural networks, BRAIN tumors, MAGNETIC resonance imaging, CROSS-sectional imaging
Abstract

This paper presents a hybrid study of convolutional neural networks (CNNs), machine learning (ML), and transfer learning (TL) in the context of brain magnetic resonance imaging (MRI). The anatomy of the brain is very complex; inside the skull, a brain tumour can form in any part. With MRI technology, cross-sectional images are generated, and radiologists can detect the abnormalities. When the size of the tumour is very small, it is undetectable to the human visual system, necessitating alternative analysis using AI tools. As is widely known, CNNs explore the structure of an image and provide features on the SoftMax fully connected (SFC) layer, and the classification of the items that belong to the input classes is established. Two comparison studies for the classification of meningioma tumours and healthy brains are presented in this paper: (i) classifying MRI images using an original CNN and two pre-trained CNNs, DenseNet169 and EfficientNetV2B0; (ii) determining which CNN and ML combination yields the most accurate classification when SoftMax is replaced with three ML models; in this context, Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) were proposed. In a binary classification of tumours and healthy brains, the EfficientNetB0-SVM combination shows an accuracy of 99.5% on the test dataset. A generalisation of the results was performed, and overfitting was prevented by using the bagging ensemble method. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

41. SCHOOL CLIMATE AND BEHAVIOR MANAGEMENT IN ROMANIAN SCHOOLS

Author

Maria CONSTANTINESCU, Georgeta CHIRLEȘAN, and Cristina DUMITRU TĂBĂCARU

Subjects
discipline, socio-emotional support, positive school climate, swpbs, Education (General), L7-991, Social sciences (General), H1-99
Abstract

A healthy learning environment is most of the time positively correlated with a positive school climate. The present article is aiming to provide an overview on school wide discipline prevention in Romanian educational context and to identify existing practices to support and prevent school indiscipline in order to create a positive school environment which will facilitate learning. Participants included 114 teachers from primary and secondary schools and 5 stakeholders from Argeș county, Romania. The main research questions investigated the school climate and addressed the assessment of existing practices in reducing student disruptive behavior and enhancing student competence and teacher classroom management in place in nowadays schools. The main findings of the research indicate a grow of disruptive behaviors and indiscipline in classrooms. The urge of effective classroom management techniques is a major concern for teachers who state that classroom discipline as their biggest problem. The number of classroom disruptive behaviors is increasing and school indiscipline is a real phenomenon that cannot be denied and have to be addressed. Hence the preoccupations at the national level of teachers and school decision-makers to address it efficiently.

Published
2019

42. Astrophysical S factor for the radiative capture 12N(p,gamma)13O determined from the 14N(12N,13O)13C proton transfer reaction

Author

Banu, A., Al-Abdullah, T., Fu, C., Gagliardi, C. A., McCleskey, M., Mukhamedzhanov, A. M., Tabacaru, G., Trache, L., Tribble, R. E., Zhai, Y., Carstoiu, F., Burjan, V., and Kroha, V.

Subjects
Nuclear Experiment
Abstract

The cross section of the radiative proton capture reaction on the drip line nucleus 12N was investigated using the Asymptotic Normalization Coefficient (ANC) method. We have used the 14N(12N,13O)13C proton transfer reaction at 12 MeV/nucleon to extract the ANC for 13O -> 12N + p and calculate from it the direct component of the astrophysical S factor of the 12N(p,gamma)13O reaction. The optical potentials used and the DWBA analysis of the proton transfer reaction are discussed. For the entrance channel, the optical potential was inferred from an elastic scattering measurement carried out at the same time with the transfer measurement. From the transfer, we determined the square of the ANC, C^2(13Og.s.) = 2.53 +/- 0.30 fm-1, and hence a value of 0.33(4) keVb was obtained for the direct astrophysical S factor at zero energy. Constructive interference at low energies between the direct and resonant captures leads to an enhancement of Stotal(0) = 0.42(5) keVb. The 12N(p,gamma)13O reaction was investigated in relation to the evolution of hydrogen-rich massive Population III stars, for the role that it may play in the hot pp-chain nuclear burning processes, possibly occurring in such objects., Comment: 15 pages, 10 figures, 3 tables submitted to Phys. Rev. C

Published
2008
Full Text
View/download PDF

43. Measurement of the 20 and 90 keV resonances in the ${}^{18}{\rm O}(p,\alpha){}^{15}$N reaction via THM

Author

La Cognata, M., Spitaleri, C., Mukhamedzhanov, A. M., Irgaziev, B., Tribble, R. E., Banu, A., Cherubini, S., Coc, A., Crucillá, V., Goldberg, V., Gulino, M., Kiss, G. G., Lamia, L., Mrazek, J., Pizzone, R. G., Puglia, S. M. R., Rapisarda, G. G., Romano, S., Sergi, M. L., Tabacaru, G., Trache, L., Trzaska, W., and Tumino, A.

Subjects
Nuclear Experiment
Abstract

The $^{18}{\rm O}(p,\alpha)^{15}{\rm N}$ reaction is of primary importance in several astrophysical scenarios, including fluorine nucleosynthesis inside AGB stars as well as oxygen and nitrogen isotopic ratios in meteorite grains. Thus the indirect measurement of the low energy region of the $^{18}{\rm O}(p,\alpha)^{15}{\rm N}$ reaction has been performed to reduce the nuclear uncertainty on theoretical predictions. In particular the strength of the 20 and 90 keV resonances have been deduced and the change in the reaction rate evaluated., Comment: 4 pages, 4 figures, submitted to PRL

Published
2008
Full Text
View/download PDF

44. Branching ratios for the beta decay of 21Na

Author

Iacob, V. E., Hardy, J. C., Gagliardi, C. A., Goodwin, J., Nica, N., Park, H. I., Tabacaru, G., Trache, L., Tribble, R., Zhai, Y., and Towner, I. S.

Subjects
Nuclear Experiment, High Energy Physics - Phenomenology, Nuclear Theory
Abstract

We have measured the beta-decay branching ratio for the transition from 21Na to the first excited state of 21Ne. A recently published test of the standard model, which was based on a measurement of the beta-nu correlation in the decay of 21Na, depended on this branching ratio. However, until now only relatively imprecise (and, in some cases, contradictory) values existed for it. Our new result, 4.74(4)%, reduces but does not remove the reported discrepancy with the standard model., Comment: Revtex4, 2 figs

Published
2006
Full Text
View/download PDF

45. Multifragmentation of very heavy nuclear systems (III): fragment velocity correlations and event topology at freeze-out

Author

Tãbãcaru, G., Rivet, M. -F., Borderie, B., Pârlog, M., Bouriquet, B., Chbihi, A., Frankland, J. D., Wieleczko, J. -P., and Collaboration, the INDRA Collaboration

Subjects
Nuclear Experiment
Abstract

Kinetic energy spectra and fragment velocity correlations, simulated by means of stochastic mean-field calculations, are successfully confronted with experimental data for single multifragmenting sources prepared at the same excitation energy per nucleon in 32 AMeV 129Xe+natSn and 36 AMeV 155Gd+natU central collisions. Relying thus on simulations, average freeze-out times of 200-240 fm/c are estimated The corresponding spatial distributions of fragments are more compact for the lighter system (~3-4V\_0 vs ~8V\_0)., Comment: 20 pages; 9 figures; To be published in Nuclear Physics A

Published
2005
Full Text
View/download PDF

46. Scattering of $^{7}$Be and $^{8}$B and the astrophysical S$_{17}$ factor

Author

Tabacaru, G., Azhari, A., Brinkley, J., Burjan, V., Carstoiu, F., Fu, Changbo, Gagliardi, C. A., Kroha, V., Mukhamedzhanov, A. M., Tang, X., Trache, L., Tribble, R. E., and Zhou, S.

Subjects
Nuclear Experiment
Abstract

Measurements of scattering of $^{7}$Be at 87 MeV on a melamine (C$_{3}$N$ _{6}$H$_{6}$) target and of $^{8}$B at 95 MeV on C were performed. For $^{7}$Be the angular range was extended over previous measurements and monitoring of the intensity of the radioactive beam was improved. The measurements allowed us to check and improve the optical model potentials used in the incoming and outgoing channels for the analysis of existing data on the proton transfer reaction $^{14}$N($^{7}$Be,$^{8}$B)$^{13}$C. The resultslead to an updated determination of the asymptotic normalization coefficient for the virtual decay $^{8}$B $\to$ $^{7}$Be + $p$. We find a slightly larger value, $C_{tot}^{2}(^{8}B)=0.466\pm 0.047$ fm$^{-1}$, for the melamine target. This implies an astrophysical factor, $S_{17}(0)=18.0\pm 1.8$ eV$\cdot$b, for the solar neutrino generating reaction $^{7}$Be($p$,$\gamma $)$^{8}$B., Comment: 7 pages, 4 figures

Published
2005
Full Text
View/download PDF

47. Freeze-out volume in multifragmentation - dynamical simulations

Author

Parlog, M., Tabacaru, G., Wieleczko, J. P., Frankland, J. D., Borderie, B., Chbihi, A., Colonna, M., and Rivet, M. F.

Subjects
Nuclear Experiment
Abstract

Stochastic mean-field simulations for multifragmenting sources at the same excitation energy per nucleon have been performed. The freeze-out volume, a concept which needs to be precisely defined in this dynamical approach, was shown to increase as a function of three parameters: freeze-out instant, fragment multiplicity and system size., Comment: Submitted to Eur. Phys. J. A - march 2005

Published
2005
Full Text
View/download PDF

48. Liquid-gas phase transition in hot nuclei: correlation between dynamical and thermodynamical signals

Author

Rivet, M. F., Borderie, B., Bougault, R., Désesquelles, P., Galichet, E., Guiot, B., Neindre, N. Le, Parlog, M., Tabacaru, G., Wieleczko, J. P., and Collaboration, the INDRA

Subjects
Nuclear Experiment
Abstract

The dynamics and thermodynamics of phase transition in hot nuclei are studied through experimental results on multifragmentation of heavy systems (A$geq$200) formed in central heavy ion collisions. Different signals indicative of a phase transition studied in the INDRA collaboration are presented and their consistency is stressed.

Published
2005

Catalog

Books, media, physical & digital resources
See catalog results