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164. Moderated Mediation Regarding the Sun-Safe Behaviors of U.S. Latinos: Advancing the Theory and Evidence for Acculturation-Focused Research and Interventions.

Author

Andreeva VA, Yaroch AL, Unger JB, Cockburn MG, Rueda R, and Reynolds KD

Subjects
ENVIRONMENTAL exposure prevention, ACCULTURATION, AUTOMATIC data collection systems, COMPUTER software, CONCEPTUAL structures, STATISTICAL correlation, HEALTH behavior, HEALTH status indicators, HISPANIC Americans, HEALTH insurance, PROTECTIVE clothing, STATISTICAL sampling, SEX distribution, SOCIAL networks, SUNSHINE, SURVEYS, T-test (Statistics), DATA analysis, SOCIAL learning theory, EDUCATIONAL attainment, CROSS-sectional method
Abstract

Recent studies revealed a negative association between acculturation and sun-safe behaviors, possibly mediated by education level, health status, and social networks. We sought to elucidate this relationship by exploring the moderating effects of gender and health insurance on each mediated path. We used data from 496 Latino respondents to the 2005 Health Information National Trends Survey. Acculturation, assessed by a four-item index, was the primary predictor; use of sunscreen and protective clothing were the primary outcomes, assessed by frequency scales. Moderated mediation was tested with an established causal moderation method. The mediated association between acculturation, education level and sunscreen use might be stronger among women than men ( P < 0.08). We found no evidence of moderated mediation for use of protective clothing. The findings suggest ways of refining the theoretical and empirical rationale for sun safety research and interventions with Latinos. Studies should replicate these models with longitudinal data. [ABSTRACT FROM AUTHOR]

Published
2010
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168. Sticherus bifidus

Author

F. A. Barkley, J. Rueda R., & J. Rosero R., F. A. Barkley, J. Rueda R., & J. Rosero R., F. A. Barkley, J. Rueda R., & J. Rosero R., and F. A. Barkley, J. Rueda R., & J. Rosero R.

Abstract

Pteridophytes, http://name.umdl.umich.edu/IC-HERB00IC-X-1590201%5DMICH-V-1590201, https://quod.lib.umich.edu/cgi/i/image/api/thumb/herb00ic/1590201/MICH-V-1590201/!250,250, The University of Michigan Library provides access to these materials for educational and research purposes. Some materials may be protected by copyright. If you decide to use any of these materials, you are responsible for making your own legal assessment and securing any necessary permission. If you have questions about the collection, please contact the Herbarium professional staff: herb-dlps-help@umich.edu. If you have concerns about the inclusion of an item in this collection, please contact Library Information Technology: libraryit-info@umich.edu., https://www.lib.umich.edu/about-us/policies/copyright-policy

Published
1947

169. Is the Free Electromagnetic Field a Consequence of Maxwell's Equations or a Postulate?

Author

Chubykalo, A., Múnera, H., and Smirnov-Rueda, R.

Abstract

It is generally accepted that solutions of so called 'free' Maxwell equations for ϱ = 0 (null charge density at every point of the whole space) describe a free electromagnetic field for which flux lines neither begin nor end in a charge). In order to avoid ambiguities and unacceptable approximation which have place in the conventional approach in respect to the free field concept, we explicitly consider three possible types of space regions: ( i) 'isolated charge-free' region, where a resultant electric field with the flux lines which either begin or end in a charge is zero in every point, for example, inside a hollow conductor of any shape or in a free-charge universe; ( ii) 'non-isolated charge-free' region, where this electric [see ( i)] field is not zero in every point; and ( iii) 'charge-neutral' region, where point charges exist but their algebraic sum is zero. According to these definitions a strict mathematical interpretation of Maxwell's equations gives following conclusions: (1) In 'isolated charge-free' regions electric free field cannot be unconditionally understood neither as a direct consequence of Maxwell's equations nor as a valid approximation: it may be introduced only as a postulate; nevertheless, this case is compatible is the existence of a time-independent background magnetic field. (2) In both 'charge-neutral' and 'non-isolated charge-free' regions, where the condition ϱ = δ function or ϱ = 0 respectively holds, Maxwell's equation for the total electric field have non-zero solutions, as in the conventional approach. However, these solution cannot be strictly identified with the electric free field. This analysis gives rise to the reconsideration of the free-electromagnetic field concept and leads to the simplest implications in respect to charge-neutral universe. [ABSTRACT FROM AUTHOR]

Published
1998
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171. Relaxation processes and coercivity in hard magnets.

Author

Gonzalez, J.M., Smirnov-Rueda, R., and Cebollada, F.

Subjects
*COERCIVE fields (Electronics), *MAGNETS, *MATHEMATICAL models, *MICROMAGNETICS, *MAGNETIC materials, *HYSTERESIS, *DEMAGNETIZATION, *MAGNETIC anisotropy
Abstract

We discuss, in terms of 1D and 2D micromagnetic models, the basic characteristics of the demagnetization mechanisms acting in hard magnetic materials. This includes the study of the hysteretic and relaxational processes and, particularly, the investigation of the temperature dependence of coercivity. From our results we conclude that, even in highly anisotropic materials, demagnetization should be described in terms of nucleation and propagation of finite magnetic moment structures of the domain wall type. [ABSTRACT FROM PUBLISHER]

Published
1996
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175. Personalidad, diferencias individuales y decisión con riesgo

Author

León, O. G., Rueda, R., and Vega, M. A.

Abstract

Esta investigación trata de comprobar si existen diferencias individuales en las estrategias usadas en las tareas de decisión con riesgo que puedan ser explicadas en términos de rasgos polares de personalidad (neuroticismo y extroversión). Al mismo tiempo se trata de encontrar evidencia de las causas (no explicadas) que podrían justificar la clasificación de estrategias propuesta desde la teoría de la integración de la información. Este artículo consta de dos partes bien diferenciadas, en la primera se lleva a cabo un experimento donde los datos no apoyan que los rasgos de personalidad usados expliquen las diferencias individuales; se encontró apoyo para tres de las estrategias descritas en integración de la información. En la segunda parte, con el propósito de analizar las diferencias individuales en el tiempo, se muestra que la estructura lógica del sujeto, como procesador/decisor, es relativamente invariante en el tiempo. Finalmente se discute si la naturaleza de la tarea experimental obliga a los sujetos a desarrollar estrategias ad hoc con poco claro valor de generalización.

Published
1988
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179. Maternal body weight and gestational diabetes differentially influence placental and pregnancy outcomes

Author

Martino, J., Sebert, S., Segura, M.T., García-Valdés, L., Florido, J., Padilla, M.C., Marcos, A., Rueda, R., McArdle, H.J., Budge, H., Symonds, Michael E., Campoy, C., Martino, J., Sebert, S., Segura, M.T., García-Valdés, L., Florido, J., Padilla, M.C., Marcos, A., Rueda, R., McArdle, H.J., Budge, H., Symonds, Michael E., and Campoy, C.

Abstract

Context: Maternal obesity and gestational diabetes mellitus (GDM) can both contribute to adverse neonatal outcomes. The extent to which this may be mediated by differences in placental metabolism and nutrient transport remains to be determined. Objective: Our objective was to examine whether raised maternal body mass index (BMI) and/or GDM contributed to a resetting of the expression of genes within the placenta that are involved in energy sensing, oxidative stress, inflammation, and metabolic pathways. Methods: Pregnant women from Spain were recruited as part of the “Study of Maternal Nutrition and Genetics on the Foetal Adiposity Programming” survey at the first antenatal visit (12–20 weeks of gestation) and stratified according to prepregnancy BMI and the incidence of GDM. At delivery, placenta and cord blood were sampled and newborn anthropometry measured. Results: Obese women with GDM had higher estimated fetal weight at 34 gestational weeks and a greater risk of preterm deliveries and cesarean section. Birth weight was unaffected by BMI or GDM; however, women who were obese with normal glucose tolerance had increased placental weight and higher plasma glucose and leptin at term. Gene expression for markers of placental energy sensing and oxidative stress, were primarily affected by maternal obesity as mTOR was reduced, whereas SIRT-1 and UCP2 were both upregulated. In placenta from obese women with GDM, gene expression for AMPK was also reduced, whereas the downstream regulator of mTOR, p70S6KB1 was raised. Conclusions: Placental gene expression is sensitive to both maternal obesity and GDM which both impact on energy sensing and could modulate the effect of either raised maternal BMI or GDM on birth weight.

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180. Maternal body weight and gestational diabetes differentially influence placental and pregnancy outcomes

Author

Martino, J., Sebert, S., Segura, M.T., García-Valdés, L., Florido, J., Padilla, M.C., Marcos, A., Rueda, R., McArdle, H.J., Budge, H., Symonds, Michael E., Campoy, C., Martino, J., Sebert, S., Segura, M.T., García-Valdés, L., Florido, J., Padilla, M.C., Marcos, A., Rueda, R., McArdle, H.J., Budge, H., Symonds, Michael E., and Campoy, C.

Abstract

Context: Maternal obesity and gestational diabetes mellitus (GDM) can both contribute to adverse neonatal outcomes. The extent to which this may be mediated by differences in placental metabolism and nutrient transport remains to be determined. Objective: Our objective was to examine whether raised maternal body mass index (BMI) and/or GDM contributed to a resetting of the expression of genes within the placenta that are involved in energy sensing, oxidative stress, inflammation, and metabolic pathways. Methods: Pregnant women from Spain were recruited as part of the “Study of Maternal Nutrition and Genetics on the Foetal Adiposity Programming” survey at the first antenatal visit (12–20 weeks of gestation) and stratified according to prepregnancy BMI and the incidence of GDM. At delivery, placenta and cord blood were sampled and newborn anthropometry measured. Results: Obese women with GDM had higher estimated fetal weight at 34 gestational weeks and a greater risk of preterm deliveries and cesarean section. Birth weight was unaffected by BMI or GDM; however, women who were obese with normal glucose tolerance had increased placental weight and higher plasma glucose and leptin at term. Gene expression for markers of placental energy sensing and oxidative stress, were primarily affected by maternal obesity as mTOR was reduced, whereas SIRT-1 and UCP2 were both upregulated. In placenta from obese women with GDM, gene expression for AMPK was also reduced, whereas the downstream regulator of mTOR, p70S6KB1 was raised. Conclusions: Placental gene expression is sensitive to both maternal obesity and GDM which both impact on energy sensing and could modulate the effect of either raised maternal BMI or GDM on birth weight.

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181. Maternal body weight and gestational diabetes differentially influence placental and pregnancy outcomes

Author

Martino, J., Sebert, S., Segura, M.T., García-Valdés, L., Florido, J., Padilla, M.C., Marcos, A., Rueda, R., McArdle, H.J., Budge, H., Symonds, Michael E., Campoy, C., Martino, J., Sebert, S., Segura, M.T., García-Valdés, L., Florido, J., Padilla, M.C., Marcos, A., Rueda, R., McArdle, H.J., Budge, H., Symonds, Michael E., and Campoy, C.

Abstract

Context: Maternal obesity and gestational diabetes mellitus (GDM) can both contribute to adverse neonatal outcomes. The extent to which this may be mediated by differences in placental metabolism and nutrient transport remains to be determined. Objective: Our objective was to examine whether raised maternal body mass index (BMI) and/or GDM contributed to a resetting of the expression of genes within the placenta that are involved in energy sensing, oxidative stress, inflammation, and metabolic pathways. Methods: Pregnant women from Spain were recruited as part of the “Study of Maternal Nutrition and Genetics on the Foetal Adiposity Programming” survey at the first antenatal visit (12–20 weeks of gestation) and stratified according to prepregnancy BMI and the incidence of GDM. At delivery, placenta and cord blood were sampled and newborn anthropometry measured. Results: Obese women with GDM had higher estimated fetal weight at 34 gestational weeks and a greater risk of preterm deliveries and cesarean section. Birth weight was unaffected by BMI or GDM; however, women who were obese with normal glucose tolerance had increased placental weight and higher plasma glucose and leptin at term. Gene expression for markers of placental energy sensing and oxidative stress, were primarily affected by maternal obesity as mTOR was reduced, whereas SIRT-1 and UCP2 were both upregulated. In placenta from obese women with GDM, gene expression for AMPK was also reduced, whereas the downstream regulator of mTOR, p70S6KB1 was raised. Conclusions: Placental gene expression is sensitive to both maternal obesity and GDM which both impact on energy sensing and could modulate the effect of either raised maternal BMI or GDM on birth weight.

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185. Orientación al suicidio en adolescentes en una zona de Medellín, Colombia.

Author

Paniagua S., Ramón E., González P., Carlos M., and Rueda R., Sandra M.

Abstract

The risk of suicide orientation is a state preceding suicidal ideation that can lead to a suicide attempt and, possibly, to a successful suicide. Given its magnitude and the pressure it exerts on health systems, suicide is considered a topic of interest for public health. Objective: the study sought to determine the association of suicide orientation risk with: sociodemographic variables and mental health indicators such as: domains of depression, family functioning, family vulnerability and psychoactive substance consumption among adolescent students in the northwest area of Medellin, 2010. Methodology: the researchers performed a cross-sectional study with a random sample of 604 students. The following instruments were used: Inventory of Suicide Orientation (ISO 30), Children's Depression Inventory (CDI-LA), ¿HOW is your family? Composite International Diagnostic Interview (CIDI II) and the Apgar family test. Similarly, a confirmatory factor analysis and a logistic regression were conducted. Results: there is association between suicide orientation risk among adolescent students and the following indicators: accumulation of stress in the family, poor search for support, poor family functioning, vulnerability in their moral values and presence of depression symptoms. Conclusion: good family functioning is a very important immediate strategy for achieving good mental health among adolescent students. [ABSTRACT FROM AUTHOR]

Published
2014
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187. Propagation Properties of Bound Electromagnetic Field: Classical and Quantum Viewpoints.

Author

Kholmetskii, A. L., Missevitch, O. V., Yarman, T., and Smirnov-Rueda, R.

Subjects
*ELECTROMAGNETIC fields, *QUANTUM electrodynamics, *SPECIAL relativity (Physics)
Abstract

The present work is motivated by recent experiments aimed to measure the propagation velocity of bound electromagnetic (EM) field (Missevitch, et al. in EPL 93:64004, 2011; de Sangro et al. in Eur Phys J C 75:137, 2015) that reveal no retardation in the absence of EM radiation. We show how these findings can be incorporated into the mathematical structure of special relativity theory that allows us to reconsider some selected problems of classical and quantum electrodynamics. In particular, we come to the conclusion that the total four-momentum for a classical system "particles plus fields" ought to be a present state function of moving charges if EM radiation is negligible. In quantum domain, we analyze novel definition of the momentum operator recently suggested in the study of quantum phase effects (Kholmetskii et al. in Sci. Rep. 8:11937, 2018). It implies that bound EM field energy and momentum are to be present state functions, too. Being in agreement with reported experiments, these conclusions suggest the necessity to carry out more precise experimental verifications for additional and independent determination of propagation properties of bound EM fields. A scheme of a possible experiment on this subject is also proposed. [ABSTRACT FROM AUTHOR]

Published
2020
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188. PAM4 HEALTHCARE UTILIZATION AND HOSPITALIZATION COSTS AMONG FRAIL AND AT-NUTRITIONAL RISK OR MALNOURISHED OLDER ADULTS.

Author

Rodríguez-Sánchez, B., Carnicero Carreño, J.A., Rueda, R., Partridge, J., Sulo, S., Pereira, S., and Rodriguez Mañas, L.

Subjects
*FRAIL elderly, *MALNUTRITION, *HOSPITAL care, *ADULTS, *MEDICAL care, *OLDER people, *COST
Abstract

Despite the high prevalence of malnutrition risk among community-dwelling older adults, the economic impact of malnutrition has not been thoroughly examined. The objective is to determine how nutritional status and frailty affect healthcare resource utilization and hospitalization costs in a population-based cohort of Spanish older adults. Generalized-linear models were employed for healthcare resources utilization and hospitalization costs, including nutritional status and frailty, and adjusting for covariates. [Extracted from the article]

Published
2019
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189. Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques.

Author

Pegalajar, M.C., Ruiz, L.G.B., Cuéllar, M.P., and Rueda, R.

Subjects
*MACHINE learning, *RECURRENT neural networks, *ELECTRICITY, *ELECTRIC power consumption, *BIG data, *REGRESSION trees
Abstract

Electricity demand is shown to steadily increase in the last few years, and it is one of the key aspects of living standards and quantifying welfare effects. However, the irregularity of electricity demand is one of the main problems in this field. Therefore, it is important to accurately anticipate future expenditures in order to optimize energy generation and to avoid unexpected wastes. As a result, we developed Machine Learning models to predict electricity demand. In particular, our study has been performed using data of the Spanish Electricity Network from 2007 to 2019. To this end, we propose the implementation of a set of Machine Learning techniques using various frameworks. In particular, we implemented six different prediction models: Linear Regression, Regression Trees, Gradient Boosting Regression, Random Forests, Multi-layer Perceptron, and three types of recurrent neural networks. Our experimentation shows promising results in all cases, since our models provides better prediction than the one estimated by the Spanish Electricity Network with an improvement of 12% in the worst case and up to 37% for the best predictor, which turned out to be the Gated Recurrent Unit neural network. [ABSTRACT FROM AUTHOR]

Published
2021
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190. Unveiling the strong interaction among hadrons at the LHC

Author

Acharya, Shreyasi, Adamova, Dagmar, Ahn, Sang Un, Bhattacharjee, Buddhadeb, Yurchenko, Volodymyr, Zaccolo, Valentina, Zaman, Ali, Zampolli, Chiara, Correia Zanoli, Henrique Jose, Zardoshti, Nima, Zarochentsev, Andrey, Zavada, Petr, Zavyalov, Nikolay, Zbroszczyk, Hanna Paulina, Bianchi, Antonio, Zhalov, Mikhail, Zhang, Song, Zhang, Xiaoming, Zhang, Zuman, Zherebchevskii, Vladimir, Yu, Zhi, Zhou, Daicui, Zhou, You, Zhou, Zhuo, Zhu, Jianhui, Bianchi, Livio, Zhu, Ya, Zichichi, Antonino, Zinovjev, Gennady, Zurlo, Nicola, ALICE Collaboration, Bianchi, Nicola, Bielcik, Jaroslav, Bielcikova, Jana, Bilandzic, Ante, Biro, Gabor, Biswas, Rathijit, Biswas, Saikat, Akbar, Zaenal, Blair, Justin Thomas, Blau, Dmitry, Blume, Christoph, Boca, Gianluigi, Bock, Friederike, Bogdanov, Alexey, Boi, Stefano, Bok, Jeongsu, Boldizsar, Laszlo, Bolozdynya, Alexander, Akindinov, Alexander, Bombara, Marek, Bonomi, Germano, Borel, Herve, Borissov, Alexander, Bossi, Hannah, Botta, Elena, Bratrud, Lars, Braun-munzinger, Peter, Bregant, Marco, Broz, Michal, Al-turany, Mohammad, Bruna, Elena, Bruno, Giuseppe Eugenio, Buckland, Matthew Daniel, Budnikov, Dmitry, Buesching, Henner, Bufalino, Stefania, Bugnon, Ophelie, Buhler, Paul Alois, Buncic, Predrag, Buthelezi, Edith Zinhle, Alam, Sk Noor, Bashir Butt, Jamila, Bysiak, Sebastian Adam, Caffarri, Davide, Caliva, Alberto, Calvo Villar, Ernesto, Mejia Camacho, Juan Manuel, Soto Camacho, Rabi, Camerini, Paolo, De Moraes Canedo, Fabio, Capon, Aaron Allan, Silva De Albuquerque, Danilo, Carnesecchi, Francesca, Caron, Robin Albert Andre, Castillo Castellanos, Javier Ernesto, Castro, Andrew John, Casula, Ester Anna Rita, Catalano, Fabio, Ceballos Sanchez, Cesar, Chakraborty, Pritam, Chandra, Sinjini, Chang, Wan, Aleksandrov, Dmitry, Chapeland, Sylvain, Chartier, Marielle, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Chauvin, Alex Henri Jean, Cheshkov, Cvetan Valeriev, Cheynis, Brigitte, Chibante Barroso, Vasco Miguel, Dobrigkeit Chinellato, David, Cho, Soyeon, Alessandro, Bruno, Chochula, Peter, Chowdhury, Tasnuva, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter, Chujo, Tatsuya, Cicalo, Corrado, Cifarelli, Luisa, De Cilladi, Lorenzo, Cindolo, Federico, Alfanda, Haidar Mas'ud, Ciupek, Michael Rudolf, Clai, Giulia, Cleymans, Jean Willy Andre, Colamaria, Fabio Filippo, Colella, Domenico, Collu, Alberto, Colocci, Manuel, Concas, Matteo, Conesa Balbastre, Gustavo, Conesa Del Valle, Zaida, Alfaro Molina, Jose Ruben, Contin, Giacomo, Contreras Nuno, Jesus Guillermo, Cormier, Thomas Michael, Corrales Morales, Yasser, Cortese, Pietro, Cosentino, Mauro Rogerio, Costa, Filippo, Costanza, Susanna, Crochet, Philippe, Cuautle Flores, Eleazar, Adler, Alexander, Ali, Bushra, Cui, Pengyao, Cunqueiro Mendez, Leticia, Dabrowski, Daniel, Dahms, Torsten, Dainese, Andrea, Damas, Florian Paul Andre, Danisch, Meike Charlotte, Danu, Andrea, Das, Debasish, Das, Indranil, Ali, Yasir, Das, Prottay, Das, Prottoy, Das, Supriya, Dash, Ajay Kumar, Dash, Sadhana, De, Sudipan, De Caro, Annalisa, De Cataldo, Giacinto, De Cuveland, Jan, De Falco, Alessandro, Alici, Andrea, De Gruttola, Daniele, De Marco, Nora, De Pasquale, Salvatore, Deb, Suman, Franz Degenhardt, Hermann, Deja, Kamil Rafal, Deloff, Andrzej, Delsanto, Silvia, Deng, Wenjing, Dhankher, Preeti, Alizadehvandchali, Negin, Di Bari, Domenico, Di Mauro, Antonio, Arteche Diaz, Raul, Dietel, Thomas, Raisig, Pascal, Ding, Yanchun, Divia, Roberto, Dixit, Dhruv Utpalkumar, Djuvsland, Oeystein, Dmitrieva, Uliana, Alkin, Anton, Dobrin, Alexandru Florin, Donigus, Benjamin, Dordic, Olja, Dubey, Anand Kumar, Dubla, Andrea, Dudi, Sandeep, Mallick, Dukhishyam, Dupieux, Pascal, Ehlers Iii, Raymond James, Eikeland, Viljar Nilsen, Alme, Johan, Elia, Domenico, Erazmus, Barbara Ewa, Erhardt, Filip, Erokhin, Andrey, Ersdal, Magnus Rentsch, Espagnon, Bruno, Eulisse, Giulio, Evans, David, Evdokimov, Sergey, Fabbietti, Laura, Alt, Torsten, Faggin, Mattia, Faivre, Julien, Fan, Feng, Fantoni, Alessandra, Fasel, Markus, Fecchio, Pietro, Feliciello, Alessandro, Feofilov, Grigorii, Fernandez Tellez, Arturo, Ferrero, Andrea, Altenkamper, Lucas, Ferretti, Alessandro, Festanti, Andrea, Feuillard, Victor Jose Gaston, Figiel, Jan, Filchagin, Sergey, Finogeev, Dmitry, Fionda, Fiorella, Fiorenza, Gabriele, Flor, Fernando Antonio, Flores, Amanda Nicole, Altsybeev, Igor, Foertsch, Siegfried Valentin, Foka, Panagiota, Fokin, Sergey, Fragiacomo, Enrico, Frankenfeld, Ulrich Michael, Fuchs, Ulrich, Furget, Christophe, Furs, Artur, Fusco Girard, Mario, Gaardhoeje, Jens Joergen, Anaam, Mustafa, Gagliardi, Martino, Gago Medina, Alberto Martin, Gal, Arthur Willem Jean, Duarte Galvan, Carlos, Ganoti, Paraskevi, Garabatos Cuadrado, Jose, Alvarado Garcia, Jesus Ricardo, Garcia-solis, Edmundo Javier, Garg, Kunal, Gargiulo, Corrado, Adolfsson, Jonatan, Andrei, Cristian, Garibli, Aydan, Garner, Katharina, Gasik, Piotr Jan, Gauger, Erin Frances, De Leone Gay, Maria Beatriz, Germain, Marie, Ghosh, Jhuma, Ghosh, Premomoy, Ghosh, Sanjay Kumar, Giacalone, Marco, Andreou, Dimitra, Gianotti, Paola, Giubellino, Paolo, Giubilato, Piero, Glaenzer, Aude Marie Camille, Glassel, Peter, Gomez Ramirez, Andres, Gonzalez, Victor, Gonzalez Trueba, Laura Helena, Gorbunov, Sergey, Gorlich, Lidia Maria, Andronic, Anton, Goswami, Ankita, Gotovac, Sven, Grabski, Varlen, Graczykowski, Lukasz Kamil, Graham, Katie Leanne, Greiner, Leo Clifford, Grelli, Alessandro, Grigoras, Costin, Grigoryev, Vladislav, Grigoryan, Ara, Angeletti, Massimo, Grigoryan, Smbat, Groettvik, Ola Slettevoll, Grosa, Fabrizio, Grosse-oetringhaus, Jan Fiete, Grosso, Raffaele, Guernane, Rachid, Guittiere, Manuel, Gulbrandsen, Kristjan Herlache, Gunji, Taku, Gupta, Anik, Anguelov, Venelin, Gupta, Ramni, Bautista Guzman, Irais, Haake, Rudiger, Habib, Michael Karim, Hadjidakis, Cynthia Marie, Hamagaki, Hideki, Hamar, Gergoe, Hamid, Mohammed, Hannigan, Ryan Patrick, Haque, Md Rihan, Anson, Christopher Daniel, Harlenderova, Alena, Harris, John William, Harton, Austin Vincent, Hasenbichler, Jan Anton, Hassan, Hadi, Hassan, Qamar Ul, Hatzifotiadou, Despina, Hauer, Philip, Havener, Laura Brittany, Hayashi, Shinichi, Anticic, Tome, Heckel, Stefan Thomas, Hellbar, Ernst, Helstrup, Haavard, Herghelegiu, Andrei Ionut, Herman, Tomas, Gonzalez Hernandez, Emma, Herrera Corral, Gerardo Antonio, Herrmann, Florian, Hetland, Kristin Fanebust, Hillemanns, Hartmut, Antinori, Federico, Hills, Christopher, Hippolyte, Boris, Hohlweger, Bernhard, Honermann, Jan, Horak, David, Hornung, Andrea, Hornung, Sebastian, Hosokawa, Ritsuya, Hristov, Peter Zahariev, Huang, Chun-lu, Antonioli, Pietro, Hughes, Charles, Huhn, Patrick, Humanic, Thomas, Hushnud, Hushnud, Husova, Lucia Anna, Hussain, Nur, Hussain, Syed Asad, Hutter, Dirk, Iddon, James Philip, Ilkaev, Radiy, Apadula, Nicole, Ilyas, Hira, Inaba, Motoi, Innocenti, Gian Michele, Ippolitov, Mikhail, Isakov, Artem, Islam, Md Samsul, Ivanov, Marian, Ivanov, Vladimir, Izucheev, Vladimir, Jacak, Barbara, Aggarwal, Madan Mohan, Aphecetche, Laurent Bernard, Jacazio, Nicolo, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Jercic, Marko, Appelshaeuser, Harald, Jevons, Oliver Thomas, Jin, Muqing, Jonas, Florian, Jones, Peter Graham, Jung, Jerome, Jung, Michael, Jusko, Anton, Kalinak, Peter, Kalweit, Alexander Philipp, Kaplin, Vladimir, Arcelli, Silvia, Kar, Somnath, Karasu Uysal, Ayben, Karatovic, David, Karavichev, Oleg, Karavicheva, Tatiana, Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kazantsev, Andrey, Kebschull, Udo Wolfgang, Keidel, Ralf, Arnaldi, Roberta, Keil, Markus, Ketzer, Bernhard Franz, Khabanova, Zhanna, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kileng, Bjarte, Arratia Munoz, Miguel Ignacio, Kim, Beomkyu, Kim, Byungchul, Kim, Daehyeok, Kim, Dong Jo, Kim, Eun Joo, Kim, Hyeonjoong, Kim, Jaehyun, Kim, Jinsook, Kim, Jiyoung, Kim, Jungeol, Arsene, Ionut Cristian, Kim, Junlee, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kim, Taesoo, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergey, Kisiel, Adam Ryszard, Klay, Jennifer Lynn, Arslandok, Mesut, Klein, Carsten, Klein, Jochen, Klein, Spencer Robert, Klein-boesing, Christian, Kleiner, Matthias, Kluge, Alexander, Knichel, Michael Linus, Knospe, Anders Garritt, Kobdaj, Chinorat, Kohler, Markus Konrad, Augustinus, Andre, Kollegger, Thorsten Sven, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, Konig, Joshua Leon, Konigstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov, Georgui, Koska, Lukas, Kovalenko, Oleksandr, Averbeck, Ralf Peter, Kovalenko, Vladimir, Kowalski, Marek, Kralik, Ivan, Kravcakova, Adela, Kreis, Lukas, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kruger, Mario, Kryshen, Evgeny, Aziz, Sizar, Krzewicki, Mikolaj, Kubera, Andrew Michael, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumar, Lokesh, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey, Aglieri Rinella, Gianluca, Azmi, Mohd Danish, Kuryakin, Alexey, Kushpil, Svetlana, Kvapil, Jakub, Kweon, Min Jung, Kwon, Jiyeon, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lai, Yue Shi, Lamanna, Massimo, Badala, Angela, Langoy, Rune, Lapidus, Kirill, Lardeux, Antoine Xavier, Larionov, Pavel, Laudi, Elisa, Lavicka, Roman, Lazareva, Tatiana, Lea, Ramona, Leardini, Lucia, Lee, Joonil, Baek, Yongwook, Lee, Seongjoo, Lehner, Sebastian, Lehrbach, Johannes, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesser, Ezra Douglas, Lettrich, Michael, Levai, Peter, Li, Xiaomei, Li, Xing Long, Bagnasco, Stefano, Lien, Jorgen Andre, Lietava, Roman, Lim, Bong-hwi, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Lisa, Michael Annan, Liu, Alwina Ruixin, Liu, Jian, Liu, Suyuan, Bai, Xiaozhi, Llope, William Joseph, Lofnes, Ingrid Mckibben, Loginov, Vitaly, Loizides, Constantinos, Loncar, Petra, Lopez Lopez, Jorge Andres, Lopez, Xavier Bernard, Lopez Torres, Ernesto, Luhder, Jens Robert, Lunardon, Marcello, Bailhache, Raphaelle Marie, Luparello, Grazia, Ma, Yugang, Maevskaya, Alla, Mager, Magnus, Mahmood, Sohail Musa, Mahmoud, Tariq, Maire, Antonin, Majka, Richard Daniel, Malaev, Mikhail, Malik, Qasim Waheed, Bala, Renu, Malinina, Liudmila, Mal Kevich, Dmitry, Malzacher, Peter, Mandaglio, Giuseppe, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Marchisone, Massimiliano, Mares, Jiri, Balbino, Alessandro, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Marquard, Marco, De Martin, Chiara, Martin, Nicole Alice, Martinengo, Paolo, Martinez, Jacobb Lee, Martinez Hernandez, Mario Ivan, Baldisseri, Alberto, Martinez-garcia, Gines, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Masson, Erwann, Mastroserio, Annalisa, Mathis, Andreas Michael, Matonoha, Oliver, Toledo Matuoka, Paula Fernanda, Ball, Markus, Matyja, Adam Tomasz, Mayer, Christoph, Mazzaschi, Francesco, Mazzilli, Marianna, Mazzoni, Alessandra Maria, Mechler, Adrian Florin, Meddi, Franco, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Cai, Mengke, Agnello, Michelangelo, Balouza, Samah, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Migliorin, Lucrezia Camilla, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Banerjee, Debjani, Miskowiec, Dariusz Czeslaw, Modak, Abhi, Mohammadi, Naghmeh, Mohanty, Auro Prasad, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Moravcova, Zuzana, Mordasini, Cindy, Moreira De Godoy, Denise Aparecida, Perez Moreno, Luis Alberto, Barbera, Roberto, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Mudnic, Eugen, Muhlheim, Daniel Michael, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Barioglio, Luca, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myers, Corey James, Myrcha, Julian Wojciech, Naik, Bharati, Nair, Rahul Ramachandran, Nandi, Basanta Kumar, Barnafoldi, Gergely Gabor, Nania, Rosario, Nappi, Eugenio, Naru, Muhammad Umair, Nassirpour, Adrian Fereydon, Nattrass, Christine, Nayak, Ranjit, Nayak, Tapan Kumar, Nazarenko, Sergey, Neagu, Alexandra, Negrao De Oliveira, Renato Aparecido, Barnby, Lee Stuart, Nellen, Lukas, Nesbo, Simon Voigt, Neskovic, Gvozden, Nesterov, Dmitrii, Neumann, Lukasz Tomasz, Nielsen, Borge Svane, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Ramillien Barret, Valerie, Nomokonov, Petr, Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Ohlson, Alice Elisabeth, Oleniacz, Janusz, Oliveira Da Silva, Antonio Carlos, Bartalini, Paolo, Oliver, Michael Henry, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Oskarsson, Anders Nils Erik, Otwinowski, Jacek Tomasz, Oyama, Ken, Pachmayer, Yvonne Chiara, Pacik, Vojtech, Padhan, Sonali, Pagano, Davide, Bartels, Clara, Paic, Guy, Pan, Jinjin, Panebianco, Stefano, Pareek, Pooja, Park, Jonghan, Parkkila, Jasper Elias, Parmar, Sonia, Pathak, Surya Prakash, Paul, Biswarup, Pazzini, Jacopo, Barth, Klaus, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pereira, Luis Gustavo, Pereira Da Costa, Hugo Denis Antonio, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Perrin, Sebastien, Pestov, Yury, Petracek, Vojtech, Agrawal, Neelima, Bartsch, Esther, Petrovici, Mihai, Peretti Pezzi, Rafael, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Pistone, Daniele, Baruffaldi, Filippo, Ploskon, Mateusz Andrzej, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin, Polishchuk, Boris, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valeriy, Prasad, Sidharth Kumar, Bastid, Nicole, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude Andre, Pshenichnov, Igor, Puccio, Maximiliano, Putschke, Jorn Henning, Qiu, Shi, Quaglia, Luca, Quishpe Quishpe, Raquel Estefania, Ragoni, Simone, Basu, Sumit, Raha, Sibaji, Rajput, Sonia, Rak, Jan, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rodriguez Ramirez, Saul Anibal, Raniwala, Rashmi, Raniwala, Sudhir, Rasanen, Sami Sakari, Batigne, Guillaume, Rath, Rutuparna, Ratza, Viktor, Ravasenga, Ivan, Read, Kenneth Francis, Redelbach, Andreas Ralph, Redlich, Krzysztof, Rehman, Attiq Ur, Reichelt, Patrick Simon, Reidt, Felix, Ren, Xiaowen, Batyunya, Boris, Renfordt, Rainer Arno Ernst, Jakubcinova, Zuzana, Reygers, Klaus Johannes, Riabov, Andrei, Riabov, Viktor, Richert, Tuva Ora Herenui, Richter, Matthias Rudolph, Riedler, Petra, Riegler, Werner, Riggi, Francesco, Bauri, Dibakar, Ristea, Catalin-lucian, Rode, Sudhir Pandurang, Rodriguez Cahuantzi, Mario, Roeed, Ketil, Rogalev, Roman, Rogochaya, Elena, Rohr, David Michael, Roehrich, Dieter, Fierro Rojas, Pablo, Rokita, Przemyslaw Stefan, Bazo Alba, Jose Luis, Ronchetti, Federico, Rosano, Antonina, Dominguez Rosas, Edgar, Roslon, Krystian, Rossi, Andrea, Rotondi, Alberto, Roy, Ankhi, Roy, Pradip Kumar, Vazquez Rueda, Omar, Rui, Rinaldo, Bearden, Ian Gardner, Rumyantsev, Boris, Rustamov, Anar, Ryabinkin, Evgeny, Ryabov, Yury, Rybicki, Andrzej, Rytkonen, Heidi Maria, Saarimaki, Oskari Antti Matti, Sadek, Rita, Sadhu, Samrangy, Sadovskiy, Sergey, Beattie, Caitlin, Safarik, Karel, Saha, Sumit Kumar, Sahoo, Baidyanath, Sahoo, Pragati, Sahoo, Raghunath, Sahoo, Sarita, Sahu, Pradip Kumar, Saini, Jogender, Sakai, Shingo, Sambyal, Sanjeev Singh, Ahammed, Zubayer, Bedda, Cristina, Samsonov, Vladimir, Sarkar, Debojit, Sarkar, Nachiketa, Sarma, Pranjal, Mantovani Sarti, Valentina, Sas, Mike Henry Petrus, Scapparone, Eugenio, Schambach, Johann Joachim, Scheid, Horst Sebastian, Schiaua, Claudiu Cornel, Behera, Nirbhay Kumar, Schicker, Rainer Martin, Schmah, Alexander, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schmidt, Marten Ole, Schmidt, Martin, Schmidt, Nicolas, Schmier, Austin Robert, Schukraft, Jurgen, Schutz, Yves Roland, Belikov, Iouri, Schwarz, Kilian Eberhard, Schweda, Kai Oliver, Scioli, Gilda, Scomparin, Enrico, Seger, Janet Elizabeth, Sekiguchi, Yuko, Sekihata, Daiki, Selyuzhenkov, Ilya, Senyukov, Serhiy, Serebryakov, Dmitry, Bell Hechavarria, Ailec, Sevcenco, Adrian, Shabanov, Arseniy, Shabetai, Alexandre, Shahoyan, Ruben, Shaikh, Wadut, Shangaraev, Artem, Sharma, Anjali, Sharma, Ankita, Sharma, Himanshu, Sharma, Meenakshi, Bellini, Francesca, Sharma, Natasha, Sharma, Sheetal, Sheibani, Oveis, Shigaki, Kenta, Hachiya Shimomura, Maya, Shirinkin, Sergey, Shou, Qiye, Sibiryak, Yury, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Bellwied, Rene, Silvermyr, David Olle Rickard, Simatovic, Goran, Simonetti, Giuseppe, Singh, Bhawani, Singh, Ranbir, Singh, Randhir, Singh, Ravindra, Singh, Vivek, Singhal, Vikas, Sarkar - Sinha, Tinku, Belyaev, Vladimir, Sitar, Branislav, Sitta, Mario, Skaali, Bernhard, Slupecki, Maciej, Smirnov, Nikolai, Snellings, Raimond, Soncco Meza, Carlos, Song, Jihye, Songmoolnak, Arnon, Soramel, Francesca, Bencedi, Gyula, Sorensen, Soren Pontoppidan, Sputowska, Iwona Anna, Stachel, Johanna, Stan, Ionel, Steffanic, Patrick John, Stenlund, Evert Anders, Stiefelmaier, Stephan Friedrich, Stocco, Diego, Storetvedt, Maksim Melnik, Dello Stritto, Luigi, Beole, Stefania, Alarcon Do Passo Suaide, Alexandre, Sugitate, Toru, Suire, Christophe Pierre, Suleymanov, Mais Kazim Oglu, Suljic, Miljenko, Sultanov, Rishat, Sumbera, Michal, Sumberia, Vikash, Sumowidagdo, Suharyo, Swain, Sagarika, Bercuci, Alexandru, Szabo, Alexander, Szarka, Imrich, Tabassam, Uzma, Taghavi, Seyed Farid, Taillepied, Guillaume, Takahashi, Jun, Tambave, Ganesh Jagannath, Tang, Siyu, Tarhini, Mohamad, Tarzila, Madalina-gabriela, Ahmad, Shakeel, Berdnikov, Yaroslav, Tauro, Arturo, Tejeda Munoz, Guillermo, Telesca, Adriana, Terlizzi, Livia, Terrevoli, Cristina, Thakur, 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A., Martinengo, P., Martinez, J. L., Martinez, M. I., Garcia, G. M., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Masson, E., Mastroserio, A., Mathis, A. M., Matonoha, O., Matuoka, P. F. T., Matyja, A., Mayer, C., Mazzaschi, F., Mazzilli, M., Mazzoni, M. A., Mechler, A. F., Meddi, F., Melikyan, Y., Menchaca-Rocha, A., Mengke, C., Meninno, E., Menon, A. S., Meres, M., Mhlanga, S., Miake, Y., Micheletti, L., Migliorin, L. C., Mihaylov, D. L., Mikhaylov, K., Mishra, A. N., Miskowiec, D., Modak, A., Mohammadi, N., Mohanty, A. P., Mohanty, B., Khan, M. M., Moravcova, Z., Mordasini, C., Moreira De Godoy, D. A., Moreno, L. A. P., Morozov, I., Morsch, A., Mrnjavac, T., Muccifora, V., Mudnic, E., Muhlheim, D., Muhuri, S., Mulligan, J. D., Mulliri, A., Munhoz, M. G., Munzer, R. H., Murakami, H., Murray, S., Musa, L., Musinsky, J., Myers, C. J., Myrcha, J. W., Naik, B., Nair, R., Nandi, B. K., Nania, R., Nappi, E., Naru, M. U., Nassirpour, A. F., Nattrass, C., Nayak, R., Nayak, T. 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Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, A. Gomez Ramirez, V. Gonzalez, L. H. González-Trueba, S. Gorbunov, L. Görlich, A. Goswami, S. Gotovac, V. Grabski, L. K. Graczykowski, K. L. Graham, L. Greiner, A. Grelli, C. Grigoras, V. Grigoriev, A. Grigoryan, S. Grigoryan, O. S. Groettvik, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, R. Guernane, M. Guittiere, K. Gulbrandsen, T. Gunji, A. Gupta, R. Gupta, I. B. Guzman, R. Haake, M. K. Habib, C. Hadjidakis, H. Hamagaki, G. Hamar, M. Hamid, R. Hannigan, M. R. Haque, A. Harlenderova, J. W. Harris, A. Harton, J. A. Hasenbichler, H. Hassan, Q. U. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, S. Hayashi, S. T. Heckel, E. Hellbär, H. Helstrup, A. Herghelegiu, T. Herman, E. G. Hernandez, G. Herrera Corral, F. Herrmann, K. F. Hetland, H. Hillemanns, C. Hills, B. Hippolyte, B. Hohlweger, J. Honermann, D. Horak, A. Hornung, S. Hornung, R. Hosokawa, P. Hristov, C. Huang, C. Hughes, P. Huhn, T. J. Humanic, H. Hushnud, L. A. Husova, N. Hussain, S. A. Hussain, D. Hutter, J. P. Iddon, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, M. S. Islam, M. Ivanov, V. Ivanov, V. Izucheev, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, C. Jahnke, M. J. Jakubowska, M. A. Janik, T. Janson, M. Jercic, O. Jevons, M. Jin, F. Jonas, P. G. Jones, J. Jung, M. Jung, A. Jusko, P. Kalinak, A. Kalweit, V. Kaplin, S. Kar, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, P. Karczmarczyk, E. Karpechev, A. Kazantsev, U. Kebschull, R. Keidel, M. Keil, B. Ketzer, Z. Khabanova, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, B. Kileng, B. Kim, B. Kim, D. Kim, D. J. Kim, E. J. Kim, H. Kim, J. Kim, J. S. Kim, J. Kim, J. Kim, J. Kim, M. Kim, S. Kim, T. Kim, T. Kim, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. L. Klay, C. Klein, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, A. Kluge, M. L. Knichel, A. G. Knospe, C. Kobdaj, M. K. Köhler, T. Kollegger, A. Kondratyev, N. Kondratyeva, E. Kondratyuk, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, L. Koska, O. Kovalenko, V. Kovalenko, M. Kowalski, I. Králik, A. Kravčáková, L. Kreis, M. Krivda, F. Krizek, K. Krizkova Gajdosova, M. Krüger, E. Kryshen, M. Krzewicki, A. M. Kubera, V. Kučera, C. Kuhn, P. G. Kuijer, L. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, J. Kvapil, M. J. Kweon, J. Y. Kwon, Y. Kwon, S. L. La Pointe, P. La Rocca, Y. S. Lai, M. Lamanna, R. Langoy, K. Lapidus, A. Lardeux, P. Larionov, E. Laudi, R. Lavicka, T. Lazareva, R. Lea, L. Leardini, J. Lee, S. Lee, S. Lehner, J. Lehrbach, R. C. Lemmon, I. León Monzón, E. D. Lesser, M. Lettrich, P. Lévai, X. Li, X. L. Li, J. Lien, R. Lietava, B. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, M. A. Lisa, A. Liu, J. Liu, S. Liu, W. J. Llope, I. M. Lofnes, V. Loginov, C. Loizides, P. Loncar, J. A. Lopez, X. Lopez, E. López Torres, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, A. Maevskaya, M. Mager, S. M. Mahmood, T. Mahmoud, A. Maire, R. D. Majka, M. Malaev, Q. W. Malik, L. Malinina, D. Mal’Kevich, P. Malzacher, G. Mandaglio, V. Manko, F. Manso, V. Manzari, Y. Mao, M. Marchisone, J. Mareš, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, M. Marquard, C. D. Martin, N. A. Martin, P. Martinengo, J. L. Martinez, M. I. Martínez, G. Martínez García, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, E. Masson, A. Mastroserio, A. M. Mathis, O. Matonoha, P. F. T. Matuoka, A. Matyja, C. Mayer, F. Mazzaschi, M. Mazzilli, M. A. Mazzoni, A. F. Mechler, F. Meddi, Y. Melikyan, A. Menchaca-Rocha, C. Mengke, E. Meninno, A. S. Menon, M. Meres, S. Mhlanga, Y. Miake, L. Micheletti, L. C. Migliorin, D. L. Mihaylov, K. Mikhaylov, A. N. Mishra, D. Miśkowiec, A. Modak, N. Mohammadi, A. P. Mohanty, B. Mohanty, M. Mohisin Khan, Z. Moravcova, C. Mordasini, D. A. Moreira De Godoy, L. A. P. Moreno, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, E. Mudnic, D. Mühlheim, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, C. J. Myers, J. W. Myrcha, B. Naik, R. Nair, B. K. Nandi, R. Nania, E. Nappi, M. U. Naru, A. F. Nassirpour, C. Nattrass, R. Nayak, T. K. Nayak, S. Nazarenko, A. Neagu, R. A. Negrao De Oliveira, L. Nellen, S. V. Nesbo, G. Neskovic, D. Nesterov, L. T. Neumann, B. S. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, A. Ohlson, J. Oleniacz, A. C. Oliveira Da Silva, M. H. Oliver, C. Oppedisano, A. Ortiz Velasquez, A. Oskarsson, J. Otwinowski, K. Oyama, Y. Pachmayer, V. Pacik, S. Padhan, D. Pagano, G. Paić, J. Pan, S. Panebianco, P. Pareek, J. Park, J. E. Parkkila, S. Parmar, S. P. Pathak, B. Paul, J. Pazzini, H. Pei, T. Peitzmann, X. Peng, L. G. Pereira, H. Pereira Da Costa, D. Peresunko, G. M. Perez, S. Perrin, Y. Pestov, V. Petráček, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, D. Pistone, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, N. Poljak, A. Pop, S. Porteboeuf-Houssais, V. Pozdniakov, S. K. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, J. Putschke, S. Qiu, L. Quaglia, R. E. Quishpe, S. Ragoni, S. Raha, S. Rajput, J. Rak, A. Rakotozafindrabe, L. Ramello, F. Rami, S. A. R. Ramirez, R. Raniwala, S. Raniwala, S. S. Räsänen, R. Rath, V. Ratza, I. Ravasenga, K. F. Read, A. R. Redelbach, K. Redlich, A. Rehman, P. Reichelt, F. Reidt, X. Ren, R. Renfordt, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, T. Richert, M. Richter, P. Riedler, W. Riegler, F. Riggi, C. Ristea, S. P. Rode, M. Rodríguez Cahuantzi, K. Røed, R. Rogalev, E. Rogochaya, D. Rohr, D. Röhrich, P. F. Rojas, P. S. Rokita, F. Ronchetti, A. Rosano, E. D. Rosas, K. Roslon, A. Rossi, A. Rotondi, A. Roy, P. Roy, O. V. Rueda, R. Rui, B. Rumyantsev, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, O. A. M. Saarimaki, R. Sadek, S. Sadhu, S. Sadovsky, K. Šafařík, S. K. Saha, B. Sahoo, P. Sahoo, R. Sahoo, S. Sahoo, P. K. Sahu, J. Saini, S. Sakai, S. Sambyal, V. Samsonov, D. Sarkar, N. Sarkar, P. Sarma, V. M. Sarti, M. H. P. Sas, E. Scapparone, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, J. Schukraft, Y. Schutz, K. Schwarz, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, I. Selyuzhenkov, S. Senyukov, D. Serebryakov, A. Sevcenco, A. Shabanov, A. Shabetai, R. Shahoyan, W. Shaikh, A. Shangaraev, A. Sharma, A. Sharma, H. Sharma, M. Sharma, N. Sharma, S. Sharma, O. Sheibani, K. Shigaki, M. Shimomura, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, D. Silvermyr, G. Simatovic, G. Simonetti, B. Singh, R. Singh, R. Singh, R. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, M. Slupecki, N. Smirnov, R. J. M. Snellings, C. Soncco, J. Song, A. Songmoolnak, F. Soramel, S. Sorensen, I. Sputowska, J. Stachel, I. Stan, P. J. Steffanic, E. Stenlund, S. F. Stiefelmaier, D. Stocco, M. M. Storetvedt, L. D. Stritto, A. A. P. Suaide, T. Sugitate, C. Suire, M. Suleymanov, M. Suljic, R. Sultanov, M. Šumbera, V. Sumberia, S. Sumowidagdo, S. Swain, A. Szabo, I. Szarka, U. Tabassam, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, M. Tarhini, M. G. Tarzila, A. Tauro, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, D. Thakur, S. Thakur, D. Thomas, F. Thoresen, R. Tieulent, A. Tikhonov, A. R. Timmins, A. Toia, N. Topilskaya, M. Toppi, F. Torales-Acosta, S. R. Torres, A. Trifiró, S. Tripathy, T. Tripathy, S. Trogolo, G. Trombetta, L. Tropp, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, B. A. Trzeciak, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, E. N. Umaka, A. Uras, G. L. Usai, M. Vala, N. Valle, S. Vallero, N. van der Kolk, L. V. R. van Doremalen, M. van Leeuwen, P. Vande Vyvre, D. Varga, Z. Varga, M. Varga-Kofarago, A. Vargas, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, V. Vechernin, E. Vercellin, S. Vergara Limón, L. Vermunt, R. Vernet, R. Vértesi, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, G. Vino, A. Vinogradov, T. Virgili, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, D. Voscek, J. Vrláková, B. Wagner, M. Weber, S. G. Weber, A. Wegrzynek, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, E. Willsher, B. Windelband, M. Winn, W. E. Witt, J. R. Wright, Y. Wu, R. Xu, S. Yalcin, Y. Yamaguchi, K. Yamakawa, S. Yang, S. Yano, Z. Yin, H. Yokoyama, I.-K. Yoo, J. H. Yoon, S. Yuan, A. Yuncu, V. Yurchenko, V. Zaccolo, A. Zaman, C. Zampolli, H. J. C. Zanoli, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, H. Zbroszczyk, M. Zhalov, S. Zhang, X. Zhang, Z. Zhang, V. Zherebchevskii, Y. Zhi, D. Zhou, Y. Zhou, Z. Zhou, J. Zhu, Y. Zhu, A. Zichichi, G. Zinovjev & N. Zurlo, Helsinki Institute of Physics, Sub Subatomic Physics (SAP), Afd Subatomic Physics (SAP), Sub Algemeen Physics Education, and Subatomic Physics

Subjects
EXCHANGE-POTENTIAL APPROACH, Strange quark, ALICE Collaboration, Hadron, Nuclear Theory, Strong interaction, hadron collisions, Position and momentum space, hiukkasfysiikka, nucl-ex, 7. Clean energy, 01 natural sciences, VDP::Fysikk: 430, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), Hadron-Hadron scattering (experiments), scattering [hadron], p p scattering, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], scattering [p p], Nuclear Experiment (nucl-ex), Experimental nuclear physics, NUCLEON, Nuclear Experiment, VDP::Physics: 430, Physics, Multidisciplinary, Large Hadron Collider, strong interaction, lattice [space-time], Publisher Correction, PRIRODNE ZNANOSTI. Fizika, BARYON-BARYON SCATTERING, CERN LHC Coll, LHC, ddc:500, Nucleon, Particle Physics - Experiment, discrete [space-time], Quark, Particle physics, CERN Lab, General Science & Technology, FOS: Physical sciences, short-range, Hadron, strong interaction, LHC, 114 Physical sciences, Fysikk: 430 [VDP], Article, hadron scattering, quark, ultrarelativistic proton–proton collisions, LHC, ALICE, 0103 physical sciences, Nuclear Physics - Experiment, General, 010306 general physics, Physics: 430 [VDP], interaction [hadron hadron], hep-ex, 010308 nuclear & particles physics, High Energy Physics::Phenomenology, effect [strong interaction], hadron-hadron interaction, strong interaction: effect, space-time: discrete, space-time: lattice, correlation, NATURAL SCIENCES. Physics, Baryon, Hypernuclei, Neutron Stars, Strangeness, Physics::Accelerator Physics, High Energy Physics::Experiment, hadron, Experimental particle physics
Abstract

One of the key challenges for nuclear physics today is to understand from first principles the effective interaction between hadrons with different quark content. First successes have been achieved using techniques that solve the dynamics of quarks and gluons on discrete space-time lattices1,2. Experimentally, the dynamics of the strong interaction have been studied by scattering hadrons off each other. Such scattering experiments are difficult or impossible for unstable hadrons3–6 and so high-quality measurements exist only for hadrons containing up and down quarks7. Here we demonstrate that measuring correlations in the momentum space between hadron pairs8–12 produced in ultrarelativistic proton–proton collisions at the CERN Large Hadron Collider (LHC) provides a precise method with which to obtain the missing information on the interaction dynamics between any pair of unstable hadrons. Specifically, we discuss the case of the interaction of baryons containing strange quarks (hyperons). We demonstrate how, using precision measurements of proton–omega baryon correlations, the effect of the strong interaction for this hadron–hadron pair can be studied with precision similar to, and compared with, predictions from lattice calculations13,14. The large number of hyperons identified in proton–proton collisions at the LHC, together with accurate modelling15 of the small (approximately one femtometre) inter-particle distance and exact predictions for the correlation functions, enables a detailed determination of the short-range part of the nucleon-hyperon interaction., Correlations in momentum space between hadrons created by ultrarelativistic proton–proton collisions at the CERN Large Hadron Collider provide insights into the strong interaction, particularly the short-range dynamics of hyperons—baryons that contain strange quarks.

Published
2020

191. Invasive assessment of coronary flow reserve impairment in severe aortic stenosis and ecochadiographic correlations.

Author

Gutiérrez-Barrios, Alejandro, Gamaza-Chulián, Sergio, Agarrado-Luna, Antonio, Ruiz-Fernández, Dolores, Calle-Pérez, G., Marante-Fuertes, E., Zayas-Rueda, R., Alba-Sánchez, Miguel, Oneto-Otero, Jesús, and Vázquez-Garcia, R.

Subjects
*AORTIC stenosis, *ECHOCARDIOGRAPHY, *AORTIC stenosis treatment, *CARDIAC catheterization, *CORONARY angiography, *DIAGNOSIS
Abstract

Objectives and background Patients with aortic stenosis (AS) may have impaired coronary flow reserve (CFR) despite angiographically normal coronary arteries. This is the first report of invasive thermodilution-derived CFR and IMR in patients with AS and their associations with echocardiographic parameters for AS assessment. Methods Thirty-six consecutive severe AS patients and ten patients without AS underwent prospectively cardiac catheterization and coronary physiological parameters were determined in the left anterior descending (LAD). Mean transit time (Tmn), a surrogate of absolute coronary flow, was obtained from the coronary thermodilution curve. Results In AS patients we found a high LAD flow at rest (Tmn rest 0.55 ± 0.3 vs 0.99 ± 0.4, p = 0.01) and a low flow at hyperemia (Tmn hyp 0.44 ± 0.2 vs 27.7 ± 0.1, p = 0.02) and consequently a severe CFR impairment (1.4 ± 0.4 vs 3.8 ± 1.4, p < 0.001) compared with controls. An elevated index of microvascular resistance (IMR) (32.7 ± 16 vs 17.8 ± 6.5, p = 0.01) and a low baseline microvascular coronary resistance (48.1 ± 29 vs 84 ± 34, p = 0.02) were also found. In AS patients there were significant correlations between CFR and left ventricular mass index (r = − 0.32; p = 0.02), and the ratio of acceleration time to ejection time (AT/ET) (r = − 0.4; p = 0.01) a non-flow dependent echocardiographic parameter for AS assessment. Multiple linear stepwise regression analysis showed that AT/ET (β = − 0.441, p = 0.019) was the only independently variable associated with CFR Conclusions In severe AS, invasive CFR shows a progressive decrease with AS severity and a good correlation with echocardiographic parameters of AS, especially with flow-independent ones. [ABSTRACT FROM AUTHOR]

Published
2017
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193. Effect on an Oral Nutritional Supplement with β-Hydroxy-β-methylbutyrate and Vitamin D on Morphofunctional Aspects, Body Composition, and Phase Angle in Malnourished Patients

Author

Isabel Cornejo-Pareja, Maria Ramirez, Maria Camprubi-Robles, Ricardo Rueda, Isabel Maria Vegas-Aguilar, Jose Manuel Garcia-Almeida, [Cornejo-Pareja,I, Vegas-Aguilar,IM, Garcia-Almeidam,JM] Department of Endocrinology and Nutrition, Virgen de la Victoria Hospital (IBIMA), Malaga University, Malaga, Spain. [Cornejo-Pareja,I, Garcia-Almeidam,JM] Centro de Investigacion Biomedica en Red de la Fisiopatología de la Obesidad y Nutricion (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Malaga, Spain. [Ramirez,M, Camprubi-Robles,M, Rueda,R] Abbott Nutrition, Research and Development, Granada, Spain., and I.C.-P. was the recipient of a postdoctoral grant (Río Hortega CM 17/00169) and is now the recipient of a postdoctoral grant (Juan Rodes JR 19/00054) from the Instituto de Salud Carlos III and cofounded by Fondo Europeo de Desarrollo Regional-FEDER. This study was a collaboration between the Institution and Abbott Laboratories. The company covered the publication cost.

Subjects
Male, Desnutrición, Time Factors, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Case-Control Studies::Retrospective Studies [Medical Subject Headings], Phenomena and Processes::Physical Phenomena::Time::Time Factors [Medical Subject Headings], Administration, Oral, Body composition, Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Dietary Proteins [Medical Subject Headings], Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings], Eating, Nutritional status, Neoplasms, Estado nutricional, Phenomena and Processes::Digestive System and Oral Physiological Phenomena::Digestive System Physiological Phenomena::Digestive System Processes::Eating [Medical Subject Headings], TX341-641, Nutritional Physiological Phenomena, body cell mass, Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Nutritional Status [Medical Subject Headings], Vitamin D, Health Care::Health Services Administration::Quality of Health Care::Quality Indicators, Health Care::Standard of Care [Medical Subject Headings], Phenomena and Processes::Metabolic Phenomena::Body Composition [Medical Subject Headings], Cancer, Nutrition and Dietetics, Hand Strength, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Therapeutics::Drug Therapy::Drug Administration Routes::Administration, Oral [Medical Subject Headings], Anatomy::Musculoskeletal System::Muscles [Medical Subject Headings], Middle Aged, Diseases::Neoplasms [Medical Subject Headings], Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet::Energy Intake [Medical Subject Headings], Neoplasias, phase angle, Health Care::Health Services Administration::Organization and Administration::Records as Topic::Diet Records [Medical Subject Headings], Suplementos dietéticos, Oral nutritional supplements, Technology and Food and Beverages::Food and Beverages::Food::Dietary Supplements [Medical Subject Headings], Body Composition, oral nutritional supplements, Female, Dietary Proteins, Muscle loss, Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Malnutrition [Medical Subject Headings], Vitamina D, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Size::Body Weight [Medical Subject Headings], Nutritional Status, Check Tags::Male [Medical Subject Headings], Chemicals and Drugs::Polycyclic Compounds::Steroids::Secosteroids::Vitamin D [Medical Subject Headings], Músculos, malnutrition, Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings], muscle loss, cancer, β-hydroxy-β-methylbutyrate, Article, Valerates, Humans, Persons::Persons::Age Groups::Adult [Medical Subject Headings], Composición corporal, Retrospective Studies, β-hydroxy-β-methylbuty rate, Nutrition. Foods and food supply, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Muscle Strength::Hand Strength [Medical Subject Headings], Body Weight, Malnutrition, Peso corporal, Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings], Body weight, Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena [Medical Subject Headings], Phase angle, Check Tags::Female [Medical Subject Headings], Chemicals and Drugs::Organic Chemicals::Carboxylic Acids::Acids, Acyclic::Valerates [Medical Subject Headings], Phenomena and Processes::Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Musculoskeletal Physiological Processes::Movement::Motor Activity::Exercise [Medical Subject Headings], Dietary Supplements, Body cell mass, Energy Intake, Food Science
Abstract

This is a retrospective study of data from clinical practice to observe the effect of a high-calorie, high-protein oral nutritional supplement (ONS) with β-hydroxy-β-methylbutyrate (HMB) on nutritional status, body weight, and muscle-related parameters in 283 adult patients with or at risk of malnutrition under standard of care, 63% being cancer patients. They were recommended to increase physical activity and energy and protein intake from regular diet plus two servings per day of a specialized ONS enriched with HMB or standard ONS for up to 6 months. Dietary records, adherence and tolerance to ONS, nutritional status, body composition, handgrip strength, and blood analysis at the beginning and the end of the intervention were recorded. This program improved nutritional status from 100% malnourished or at risk of malnutrition at baseline to 80% well-nourished at final visit. It also increased body weight by 3.6–3.8 kg, fat-free mass by 0.9 to 1.3 kg, and handgrip strength by 4.7 to 6.2 kg. In a subgroup of patients (n = 43), phase angle (PhA), and body cell mass (BCM) increased only in the patients receiving the ONS enriched with HMB (0.95 (0.13) vs. −0.36 (0.4), and 2.98 (0.5) vs. −0.6 (1.5) kg, mean difference (SE) from baseline for PhA and BCM, respectively), suggesting the potential efficacy of this supplement on muscle health.

Published
2021

194. Analysis of 17 neurotransmitters, metabolites and precursors in zebrafish through the life cycle using ultrahigh performance liquid chromatography–tandem mass spectrometry.

Author

Santos-Fandila, A., Vázquez, E., Barranco, A., Zafra-Gómez, A., Navalón, A., Rueda, R., and Ramírez, M.

Subjects
*ZEBRA danio, *METABOLITES, *GLUTAMINE, *NORADRENALINE, *SEROTONIN
Abstract

An ultrahigh performance liquid chromatography–tandem mass spectrometry method for the identification and quantification of neurotransmitters, metabolites and precursors at different stages in zebrafish life was developed. Betaine, glutamine, glutamic acid, γ-aminobutyric acid, phosphocholine, glycerophosphocholine, cytidine 5′-diphosphocholine, choline, acetylcholine, dopamine, norepinephrine, serotonin, tyrosine, epinephrine, tryptophan, 5-hydroxyindolacetic acid and agmatine were selected as analytes. The method consisted of a simple deproteinization of samples using methanol and formic acid, subsequent injection onto the chromatographic equipment and quantification with a triple quadrupole mass spectrometer detector using an electrospray ionization interface in positive mode. Limits of detection ranged from 0.02 to 11 ng mL −1 and limits of quantification from 0.1 to 38 ng mL −1 , depending on the analyte. The method was validated according to US Food and Drugs Administration (FDA) guideline for bioanalytical assays. Precision, expressed as relative standard deviation (%RSD), was lower than 15% in all cases, and the determination coefficient ( R 2 ) was equal or higher than 99.0% with a residual deviation for each calibration point lower than ±25%. Mean recoveries were between 85% and 115%. The method was applied to determine of these compounds in zebrafish from early stages of development to adulthood and showed the time-course of neurotransmitters and others neurocompounds through the life cycle. The possibility of measuring up to 17 compounds related with the main neurotransmitter systems in a simple analytical method will complement and reinforce the use of zebrafish in multiple applications in the field of neurosciences. The proposed method will facilitate future studies related with brain development. [ABSTRACT FROM AUTHOR]

Published
2015
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195. Quantitative determination of β-hydroxymethylbutyrate and leucine in culture media and microdialysates from rat brain by UHPLC-tandem mass spectrometry.

Author

Santos-Fandila, A., Zafra-Gómez, A., Barranco, A., Navalón, A., Rueda, R., and Ramírez, M.

Subjects
*AMINO acids, *HYDROXYMETHYL compounds, *LEUCINE, *BRAIN blood-vessels, *MASS spectrometry
Abstract

The main objective of the present work was to develop a method to determine β-hydroxymethylbutyrate (HMB) and leucine (Leu) in culture media and brain microdialysates. An accurate, selective, and cost-effective method, based on the use of ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS), was developed for the identification and quantification of both compounds. The method consisted of sample dilution, direct injection onto the chromatographic equipment, and quantification with a triple quadrupole mass spectrometer using an electrospray ionization interface in positive mode. The procedure and the UHPLC-MS/MS parameters were accurately optimized to achieve the highest recoveries and to enhance the analytical characteristics of the method. For chromatographic separation, an Acquity UPLC BEH Hilic column using acetonitrile-water gradient with formic acid as additive was employed. The total run time was 4 min. The limits of detection (LODs) obtained ranged from 0.01 to 0.04 μg mL, and the limits of quantification (LOQs) ranged from 0.04 to 0.12 μg mL. Precision (expressed as relative standard deviation) was lower than 15 %, and the determination coefficient ( R) was higher than 99.0 % with a residual deviation for each calibration point lower than ±25 %. Mean recoveries were between 85 and 115 %. The method was successfully applied to the analysis of both compounds, HMB and Leu, in samples obtained from an experiment of blood-brain barrier (BBB) passage in vitro and to an experiment of brain microdialysis in rats in vivo after an oral challenge with HMB to detect its appearance in the brain. [ABSTRACT FROM AUTHOR]

Published
2014
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196. Ultra high performance liquid chromatography–tandem mass spectrometry method for the determination of soluble milk glycans in rat serum.

Author

Santos-Fandila, A., Zafra-Gómez, A., Vazquez, E., Navalón, A., Rueda, R., and Ramírez, M.

Subjects
*HIGH performance liquid chromatography, *TANDEM mass spectrometry, *GLYCAN analysis, *MILK analysis, *BLOOD serum analysis, *LABORATORY rats
Abstract

Abstract: The main objective of the present work was to develop and validate a multicompound method to measure soluble milk glycans (SMGs) in biological fluids such as serum. An ultra high performance liquid chromatography–tandem mass spectrometry (UHPLC–MS/MS) method for the identification and quantification of the following SMGs and their precursors 2′-fucosyllactose, 3′-sialyllactose, 6′-sialyllactose, lacto-N-neotetraose, N-acetylneuraminic acid, fucose, lactose and glucose in rat serum samples was set up. These analytes were separated in an Acquity UPLC BEH Amide column using acetonitrile–water gradient with ammonia as additive, in a 10min run, and were detected and quantified using a triple quadrupole (QqQ) mass spectrometer. The mass spectrometric conditions in negative electrospray ionization mode (ESI−) were individually optimized for each analyte to obtain maximum sensitivity in the Selected Reaction Monitoring (SRM) mode. Selection of two specific fragmentation reactions for each compound allowed simultaneous quantification and identification in one run, ensuring a high specificity of the method. The limits of detection (LODs) ranged from 5 to 70ngmL−1 and the limits of quantification (LOQs) from 20 to 200ngmL−1. The inter- and intra-day variability was lower than 15% and the recoveries ranged from 85% to 115%. A biological application of the method was also described, specifically the time-course of SMGs in rat serum after an oral challenge. [Copyright &y& Elsevier]

Published
2014
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197. Quantitative determination of neurotransmitters, metabolites and derivates in microdialysates by UHPLC–tandem mass spectrometry.

Author

Santos-Fandila, A., Zafra-Gómez, A., Barranco, A., Navalón, A., Rueda, R., and Ramírez, M.

Subjects
*QUANTITATIVE research, *NEUROTRANSMITTERS, *METABOLITES, *MICRODIALYSIS, *HIGH performance liquid chromatography, *TANDEM mass spectrometry
Abstract

Abstract: The main objective of the present work is to study the time-course of rat brain neurotransmitters in vivo after an oral challenge with a nutritional ingredient or an external stimulus, such as a chemical agent. An ultrahigh performance liquid chromatography–tandem mass spectrometry method for the identification and quantification of neurotransmitters, metabolites and derivates in microdialysates from rat brain was previously developed. Betaine, glutamine, glutamic acid, gamma-aminobutyric acid, phosphocholine, glycerophosphocholine, cytidine 5'-diphosphocholine, choline, acetylcholine, dopamine, norepinephrine, serotonin, tyrosine, epinephrine, tryptophan and 5-hydroxyindoleacetic acid were selected as analytes. The method involves direct injection of samples of microdialysates from rat brain onto the chromatographic equipment and quantification with a triple quadrupole mass spectrometer detector using an electrospray ionization interface in positive mode. The limits of detection ranged from 0.1 to 50ngmL−1 and the limits of quantification from 0.3 to 200ngmL−1. The inter- and intra-day variability were lower than 15%. Recovery rates ranged from 85% to 115%. [Copyright &y& Elsevier]

Published
2013
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198. PAM3 INDIVIDUALIZED NUTRITIONAL SUPPORT IN MEDICAL INPATIENTS RESULTS IN COST SAVINGS: ECONOMIC EVALUATION OF THE EFFORT TRIAL.

Author

Schuetz, P., Sulo, S., Walzer, S., Vollmer, L., Stanga, Z., Gomes, F., Rueda, R., and Partridge, J.

Subjects
*INTENSIVE care units
Abstract

In-hospital nutritional intervention cost alone was CHF90 per-patient, while the total nutritional support cost after including dietitian consultation time was CHF283,85. In-hospital nutritional support for medical inpatients can result in up to CHF214 per-patient cost savings due to reducing the risk for ICU admissions and hospital-associated complications. [Extracted from the article]

Published
2019
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199. Composición y abundancia del meiobentos en el sublitoral de la Habana, Cuba

Author

Armenteros Almanza, M., González Sansón, G., Lalana Rueda, R., and Centro de Investigaciones Marinas Universidad de La Habana

Subjects
Coastal structures, Meiofauna, Meiobenthic organisms
Abstract

En las regiones tropicales se han realizado estudios extensos sobre grupos conspicuos como peces, corales y macroalgas, pero existe poca información comparativa sobre la meiofauna (Gourbault et al., 1995). En Cuba se han publicado varios trabajos sobre abundancia y distribución del meiobentos (Herrera y Del Valle, 1980; Herrera y Sánchez, 1982; Jiménez Ibarzábal, 1982; Herrera, 1983; Herrera y Amador, 1983; Lalana-Rueda y Gosselck, 1986; López-Cánovas, 1987), pero en la década pasada la ausencia de estos es notable. En el sublitoral de La Habana se han realizado estudios de varias taxocenosis correspondientes a la megafauna (ejemplos: peces, corales y gorgonias); la complementación de tales estudios y el impacto que se ejerce sobre esta zona costera reclaman la realización de investigaciones orientadas al conocimiento de la ecología de la meiofauna. Por ello se realiza la presente investigación que parte de la siguiente hipótesis: Existe variación espacial y temporal en la composición y abundancia del meiobentos y es posible aislar el efecto que sobre estas variaciones tienen los factores naturales (tamaño de partícula del sustrato, hidrodinámica) y los antropogénicos (enriquecimiento orgánico y residuales industriales tóxicos). Para comprobar la mencionada hipótesis se plantean los siguientes objetivos: • Determinar el tamaño de muestra óptimo para estudiar las comunidades del meiobentos. • Comparar tres diferentes distancias para aplicar análisis multidimensionales a la estructura de las comunidades. • Comparar la estructura de la meiofauna entre estaciones con diferente grado de impacto antropogénico y diferentes condiciones oceanográficas. • Conocer si existe variación temporal en la abundancia y composición de la meiofauna e inferir su relación con el impacto antropogénico. Unpublished La Habana Cuba

Published
2003

200. Infective dermatitis in Colombia.

Author

Blank, A, Herrera, M, Lourido, M A, Rueda, R, and Blank, M

Subjects
*COMMUNICABLE diseases, *SKIN diseases, *STREPTOCOCCAL diseases, *RNA virus infections, *DISEASE complications
Published
1995
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