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27 Aging Affects Cordoba Naming Test Performance
- Jasman Sidhu, Krithika Sivaramakrishnan, Raymundo Cervantes, Sarah Saravia, Luz Estrada, Dulce Garcia, Alexia Barrio, Isabel D. Munoz, Enrique Lopez, Tara L. Victor, Alberto L. Fernandez, Daniel W. Lopez-Hernandez
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 339-340
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Objective:
The Cordoba Naming Test (CNT) is a 30-item confrontation naming test developed in Argentina. A common confrontation naming task used in the United States is the Boston Naming Test (BNT). Research shows that age affects BNT performance in the 60-item long form. In fact, studies show that scores on confrontation naming tasks increase in childhood and continue to improve until approximately 40 years of age. However, after this period, scores start to subsequently decline, and especially so after 70 years of age. On the other hand, some studies have reported that older adults maintain high BNT performance despite advancing age. To our knowledge, no study has investigated the aging effects of the CNT across various age groups. We expected CNT scores to increase significantly from young adulthood to mid-adulthood and then significantly decline with advancing age.
Participants and Methods:The present study sample consisted of 272 neurologically and psychologically healthy participants with a mean age of 27.06 (SD = 12.21) with 14.29 years of education completed (SD = 2.46). Participants were divided into six different age groups: 18-19-year-old group, 20-29-year-old group, 30-39-year-old group, 40-49-year-old group, 50-59-year-old group, and 60-69-year-old group. All participants consented to voluntary participation and completed the CNT and a comprehensive background questionnaire in English. The CNT consisted of 30 black and white line drawings, ranging from easy to hard difficulty. An ANCOVA, controlling for gender, was used to evaluate CNT performance between the six age groups. We used a threshold of p < .05 for statistical significance.
Results:Results revealed significant group differences between the six age groups on the CNT, p = .000, ηp2 = .14. A post-hoc test revealed that the 30-39-year-old group outperformed the 18-19-year-old, 20-29-yearold, and 60-69-year-old groups on the CNT. Finally, the 40-49-year-old group outperformed the 18-19-year-old and 60-69-year-old groups on the CNT.
Conclusions:As we predicted, participants demonstrated steady improvement in the CNT until the age of 40. However, we found that until the age of 60, CNT performance started to decline significantly. Our data suggests that CNT performance declines significantly at the age of 60 compared to previous research using the BNT. Research shows other demographic variables (e.g., gender, linguistic factors) influence BNT performance. Future investigations on the CNT using a healthy sample should use a multivariate statistical analysis method to help explain influencing factors across aging. This research can have the potential to improve public health to better support and understand individuals from diverse backgrounds.
39 Perceived Workload and Language Order Effects on the Cordoba Naming Test in Spanish-English Bilinguals
- Krissy E. Smith, Isabel D. C. Munoz, Raymundo Cervantes, Andrea R. Preciado, Tara L. Victor, Natalia Garcia, Paula V. Bracho, Enrique Lopez, Alberto L. Fernandez, Yvette De Jesus, Daniel W. Lopez-Hernandez
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 451-452
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Objective:
The Cordoba Naming Test (CNT) is a 30-item confrontation naming task. The administration of the CNT can be administered in multiple languages. Hardy and Wright (2018) conditionally validated a measure of perceived mental workload called the National Aeronautic Space Administration Task Load Index (NASA-TLX). They found that workload ratings on the NASA-TLX increased with increased demands on a cognitive task. Researchers found interactions in a study examining language proficiency and language (i.e., in which the test was administered) on several tasks of the Golden Stroop Test. Their results revealed that unbalanced bilinguals’ best-spoken language showed significantly better results compared to balanced bilinguals’ where language use did not matter. To our knowledge, no study has examined the order effects of Spanish-English bilingual speakers’ CNT performance and perceived workloads when completed in Spanish first compared to English second and vice-versa. We predicted that persons that completed the CNT in English first would demonstrate better performances and report lower perceived workloads on the CNT compared to completing the CNT in Spanish second. In addition, we predicted that persons that completed the CNT in Spanish first would demonstrate worse performance and higher perceived workloads on the CNT compared to completing the CNT in English second.
Participants and Methods:The sample consisted of 62 Spanish-English healthy and neurologically bilingual speakers with a mean age of 19.94 (SD= 3.36). Thirty-seven participants completed the CNT in English first and then in Spanish (English-to-Spanish) and 25 participants completed the CNT in Spanish first and then in English (Spanish-to-English). The NASA-TLX was used to evaluate CNT perceived workloads. All the participants completed the NASA-TLX in English and Spanish after completing the CNT in the language given, respectfully. A series of paired-samples T-Tests were completed to evaluate groups CNT performance and perceived workload.
Results:We found that the English-to-Spanish group performed better on the CNT in English first than completing it in Spanish second, p = .000. We also found that the English-to-Spanish group reported better performance and less mentally demanding on the CNT when it was completed in English first compared to completing it in Spanish second, p’s < .05. Regarding the Spanish-to-English group, we found participants performed worse when they completed the CNT in Spanish first compared to completing the CNT in English second, p = .000. Finally, the Spanish-to-English group reported worse performance completing the CNT in Spanish first, more temporal demanding, and more frustrating compared to completing the CNT in English second, p’s < .05.
Conclusions:As expected, when participants completed the CNT in English, regardless of the order, they performed better and reported lower perceived workloads compared to completing the CNT in Spanish. Our data suggests that language order effect influenced participants CNT performance possibly due to not knowing specific items in Spanish compared to in English. Future studies using larger sample sizes should evaluate language order effects on the CNT in Spanish-English balanced bilingual speakers compared to unbalanced bilingual speakers.
Scipion3: A workflow engine for cryo-electron microscopy image processing and structural biology
- Pablo Conesa, Yunior C. Fonseca, Jorge Jiménez de la Morena, Grigory Sharov, Jose Miguel de la Rosa-Trevín, Ana Cuervo, Alberto García Mena, Borja Rodríguez de Francisco, Daniel del Hoyo, David Herreros, Daniel Marchan, David Strelak, Estrella Fernández-Giménez, Erney Ramírez-Aportela, Federico Pedro de Isidro-Gómez, Irene Sánchez, James Krieger, José Luis Vilas, Laura del Cano, Marcos Gragera, Mikel Iceta, Marta Martínez, Patricia Losana, Roberto Melero, Roberto Marabini, José María Carazo, Carlos Oscar Sánchez Sorzano
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- Journal:
- Biological Imaging / Volume 3 / 2023
- Published online by Cambridge University Press:
- 29 June 2023, e13
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Image-processing pipelines require the design of complex workflows combining many different steps that bring the raw acquired data to a final result with biological meaning. In the image-processing domain of cryo-electron microscopy single-particle analysis (cryo-EM SPA), hundreds of steps must be performed to obtain the three-dimensional structure of a biological macromolecule by integrating data spread over thousands of micrographs containing millions of copies of allegedly the same macromolecule. The execution of such complicated workflows demands a specific tool to keep track of all these steps performed. Additionally, due to the extremely low signal-to-noise ratio (SNR), the estimation of any image parameter is heavily affected by noise resulting in a significant fraction of incorrect estimates. Although low SNR and processing millions of images by hundreds of sequential steps requiring substantial computational resources are specific to cryo-EM, these characteristics may be shared by other biological imaging domains. Here, we present Scipion, a Python generic open-source workflow engine specifically adapted for image processing. Its main characteristics are: (a) interoperability, (b) smart object model, (c) gluing operations, (d) comparison operations, (e) wide set of domain-specific operations, (f) execution in streaming, (g) smooth integration in high-performance computing environments, (h) execution with and without graphical capabilities, (i) flexible visualization, (j) user authentication and private access to private data, (k) scripting capabilities, (l) high performance, (m) traceability, (n) reproducibility, (o) self-reporting, (p) reusability, (q) extensibility, (r) software updates, and (s) non-restrictive software licensing.
Imaging and Molecular Annotation of Xenographs and Tumours (IMAXT): High throughput data and analysis infrastructure
- Eduardo A. González-Solares, Ali Dariush, Carlos González-Fernández, Aybüke Küpcü Yoldaş, Alireza Molaeinezhad, Mohammad Al Sa’d, Leigh Smith, Tristan Whitmarsh, Neil Millar, Nicholas Chornay, Ilaria Falciatori, Atefeh Fatemi, Daniel Goodwin, Laura Kuett, Claire M. Mulvey, Marta Páez Ribes, Fatime Qosaj, Andrew Roth, Ignacio Vázquez-García, Spencer S. Watson, Jonas Windhager, Samuel Aparicio, Bernd Bodenmiller, Ed Boyden, Carlos Caldas, Owen Harris, Sohrab P. Shah, Simon Tavaré, CRUK IMAXT Grand Challenge Team, Dario Bressan, Gregory J. Hannon, Nicholas A. Walton
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- Journal:
- Biological Imaging / Volume 3 / 2023
- Published online by Cambridge University Press:
- 14 April 2023, e11
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With the aim of producing a 3D representation of tumors, imaging and molecular annotation of xenografts and tumors (IMAXT) uses a large variety of modalities in order to acquire tumor samples and produce a map of every cell in the tumor and its host environment. With the large volume and variety of data produced in the project, we developed automatic data workflows and analysis pipelines. We introduce a research methodology where scientists connect to a cloud environment to perform analysis close to where data are located, instead of bringing data to their local computers. Here, we present the data and analysis infrastructure, discuss the unique computational challenges and describe the analysis chains developed and deployed to generate molecularly annotated tumor models. Registration is achieved by use of a novel technique involving spherical fiducial marks that are visible in all imaging modalities used within IMAXT. The automatic pipelines are highly optimized and allow to obtain processed datasets several times quicker than current solutions narrowing the gap between data acquisition and scientific exploitation.
Teaching and Evaluation Methods of the Use of the Tourniquet in Severe Limb Bleeding among Health Care Professionals: A Systematic Review
- María Sobrido-Prieto, Santiago Martínez-Isasi, Marta Pérez-López, Felipe Fernández-Méndez, Roberto Barcala-Furelos, Daniel Fernández-García
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- Journal:
- Prehospital and Disaster Medicine / Volume 36 / Issue 6 / December 2021
- Published online by Cambridge University Press:
- 19 October 2021, pp. 747-755
- Print publication:
- December 2021
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Introduction and Objectives:
Massive hemorrhage (MH) is a growing pathology in military settings and increasingly in civilian settings; it is now considered a public health problem in the United States with large-scale programs. Tourniquets are the fastest and most effective intervention in MH if direct pressure is not effective.
The Liaison Committee on Resuscitation (ILCOR) recognizes a knowledge gap in optimal education techniques for first aid providers. This review aims to describe training and evaluation methods for teaching tourniquet use to both health care and military professionals.
Methods:The MEDLINE, CINAHL, WEB of Science, and Scopus databases were reviewed (from 2010 through April 2020). The quality of the selected studies was assessed using the Consolidated Standards of Reporting Trials (CONSORT) scale. Studies that met at least 65% of the included items were included. Data were extracted independently by two reviewers.
Results:Ten of the 172 articles found were selected, of which three were randomized clinical trials. Heterogeneity was observed in the design of the studies and in the training and evaluative methods that limit the comparison between studies.
Conclusions:The results suggest that the training strategies studied are effective in improving knowledge, attitudes, and practical skills. There is no universal method, learning is meaningful but research should be directed to find out which ones work best.
Thermomechanical properties of silica-polyacrylic nanocomposites
- Adán Fuentes-Miranda, Bernardo Campillo-Illanes, Marta Fernández-Garcia, Daniel López-García
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- Journal:
- MRS Advances / Volume 2 / Issue 49 / 2017
- Published online by Cambridge University Press:
- 05 September 2017, pp. 2745-2750
- Print publication:
- 2017
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The synthesis of inorganic/organic nanocomposite systems, well known as hybrid materials, represents a new class of polymeric materials, which combine properties of inorganic particles, such as barrier, optical, catalytic and conductive properties, among others, with flexibility and transparency of the organic polymer matrix, being easily processable. They could be applied in a diversity of areas such as textiles, inks, adhesion, biomaterials, paints, adhesives, and electronics [1-2]. Within the inorganic materials, silica nanoparticles which present excellent properties, such as high mechanical strength, thermal and chemical stability, and high surface area, have been widely incorporated into a polymer matrix to prepare polymer/silica hybrid materials [3-4]. It is reported that the quantity and the dispersion of nano-SiO2 in the polymer matrix have a real effect on the properties of the final materials [5-6].
In this work, hybrid silica/poly(butyl acrylate-methyl methacrylate-acrylic acid) (SiO2/P(BA-MMA-AA)) were synthesized via in situ semi-batch emulsion polymerization. The results showed that this process was produced with high monomer conversion and low formation of agglomerates. The thermomechanical behavior of the films obtained from latexes was characterized by using thermogravimetric analysis, differential scanning calorimetry, and tensile test. The nanocomposite films displays significantly improved mechanical and thermal properties over its pure polymer film, and also presents almost the same high transparency.
Comments regarding Marco et al., 2015, ‘The two sides of border disease in Pyrenean chamois (Rupicapra pyrenaica): silent persistence and population collapse’
- María Cruz Arnal, Juan Herrero, Olatz Fernández, David Martínez, Carlos Prada, Alicia García-Serrano, Daniel Fernández de Luco
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- Journal:
- Animal Health Research Reviews / Volume 17 / Issue 2 / December 2016
- Published online by Cambridge University Press:
- 18 August 2016, pp. 77-78
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Contributors
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- By Jane E. Adcock, Yahya Aghakhani, A. Anand, Eva Andermann, Frederick Andermann, Alexis Arzimanoglou, Sandrine Aubert, Nadia Bahi-Buisson, Carman Barba, Agatino Battaglia, Geneviève Bernard, Nadir E. Bharucha, Laurence A. Bindoff, William Bingaman, Francesca Bisulli, Thomas P. Bleck, Stewart G. Boyd, Andreas Brunklaus, Harry Bulstrode, Jorge G. Burneo, Laura Canafoglia, Laura Cantonetti, Roberto H. Caraballo, Fernando Cendes, Kevin E. Chapman, Patrick Chauvel, Richard F. M. Chin, H. T. Chong, Fahmida A. Chowdhury, Catherine J. Chu-Shore, Rolando Cimaz, Andrew J. Cole, Bernard Dan, Geoffrey Dean, Alessio De Ciantis, Fernando De Paolis, Rolando F. Del Maestro, Irissa M. Devine, Carlo Di Bonaventura, Concezio Di Rocco, Henry B. Dinsdale, Maria Alice Donati, François Dubeau, Michael Duchowny, Olivier Dulac, Monika Eisermann, Brent Elliott, Bernt A. Engelsen, Kevin Farrell, Natalio Fejerman, Rosalie E. Ferner, Silvana Franceschetti, Robert Friedlander, Antonio Gambardella, Hector H. Garcia, Serena Gasperini, Lorenzo Genitori, Gioia Gioi, Flavio Giordano, Leif Gjerstad, Daniel G. Glaze, Howard P. Goodkin, Sidney M. Gospe, Andrea Grassi, William P. Gray, Renzo Guerrini, Marie-Christine Guiot, William Harkness, Andrew G. Herzog, Linda Huh, Margaret J. Jackson, Thomas S. Jacques, Anna C. Jansen, Sigmund Jenssen, Michael R. Johnson, Dorothy Jones-Davis, Reetta Kälviäinen, Peter W. Kaplan, John F. Kerrigan, Autumn Marie Klein, Matthias Koepp, Edwin H. Kolodny, Kandan Kulandaivel, Ruben I. Kuzniecky, Ahmed Lary, Yolanda Lau, Anna-Elina Lehesjoki, Maria K. Lehtinen, Holger Lerche, Michael P. T. Lunn, Snezana Maljevic, Mark R. Manford, Carla Marini, Bindu Menon, Giulia Milioli, Eli M. Mizrahi, Manish Modi, Márcia Elisabete Morita, Manuel Murie-Fernandez, Vivek Nambiar, Lina Nashef, Vincent Navarro, Aidan Neligan, Ruth E. Nemire, Charles R. J. C. Newton, John O'Donavan, Hirokazu Oguni, Teiichi Onuma, Andre Palmini, Eleni Panagiotakaki, Pasquale Parisi, Elena Parrini, Liborio Parrino, Ignacio Pascual-Castroviejo, M. Scott Perry, Perrine Plouin, Charles E. Polkey, Suresh S. Pujar, Karthik Rajasekaran, R. Eugene Ramsey, Rahul Rathakrishnan, Roberta H. Raven, Guy M. Rémillard, David Rosenblatt, M. Elizabeth Ross, Abdulrahman Sabbagh, P. Satishchandra, Swati Sathe, Ingrid E. Scheffer, Philip A. Schwartzkroin, Rod C. Scott, Frédéric Sedel, Michelle J. Shapiro, Elliott H. Sherr, Michael Shevell, Simon D. Shorvon, Adrian M. Siegel, Gagandeep Singh, S. Sinha, Barbara Spacca, Waney Squier, Carl E. Stafstrom, Bernhard J. Steinhoff, Andrea Taddio, Gianpiero Tamburrini, C. T. Tan, Raymond Y. L. Tan, Erik Taubøll, Robert W. Teasell, Mario Giovanni Terzano, Federica Teutonico, Suzanne A. Tharin, Elizabeth A. Thiele, Pierre Thomas, Paolo Tinuper, Dorothée Kasteleijn-Nolst Trenité, Sumeet Vadera, Pierangelo Veggiotti, Jean-Pierre Vignal, J. M. Walshe, Elizabeth J. Waterhouse, David Watkins, Ruth E. Williams, Yue-Hua Zhang, Benjamin Zifkin, Sameer M. Zuberi
- Edited by Simon D. Shorvon, Frederick Andermann, Renzo Guerrini
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- The Causes of Epilepsy
- Published online:
- 05 March 2012
- Print publication:
- 14 April 2011, pp ix-xvi
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