1,867 research outputs found
Plan de negocios: NuAI : cómo revolucionar la nutrición deportiva con inteligencia artificial personalizada
No full textFil: Gimenez Kesseru, Ana. Universidad de San Andrés. Escuela de Negocios; Argentina.Fil: Yemal, Nataly Laila. Universidad de San Andrés. Escuela de Negocios; Argentina.Fil: Zimmermann, Juan. Universidad de San Andrés. Escuela de Negocios; Argentina
A New Approach to Image Segmentation with Two-Dimensional Hidden Markov Models
No full textFil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Flesia, Ana Georgina. Universidad Tecnológica Nacional; Argentina.Fil: Flesia, Ana Georgina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Flesia, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Gimenez, Javier. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Pucheta, Julián. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Image segmentation is one of the fundamental
problems in computer vision. In this work, we present a new
segmentation algorithm that is based on the theory of twodimensional hidden Markov models (2D-HMM). Unlike most 2DHMM approaches we do not apply the Viterbi Algorithm, instead
we present a computationally efficient algorithm that propagates
the state probabilities through the image. This approach can
easily be extended to higher dimensions. We compare the proposed method with a 2D-HMM standard algorithm and Iterated
Conditional Modes using real world images like a radiography
or a satellite image as well as synthetic images. The experimental
results show that our approach is highly capable of condensing
image segments. This gives our algorithm a significant advantage
over the standard algorithm when dealing with noisy images with
few classes.Fil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Flesia, Ana Georgina. Universidad Tecnológica Nacional; Argentina.Fil: Flesia, Ana Georgina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Flesia, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Gimenez, Javier. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.Fil: Pucheta, Julián. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Sistemas de Automatización y Contro
View of El Capitan as seen from the Merced River, Yosemite National Park, California, ca.1900
No full textPhotograph of El Capitan as seen from the Merced River, Yosemite National Park, California, ca.1900. Across the river, a forest of conifers and other trees surround the base of El Capitan. Shrubs and grass waddle in the river (foreground). "El Capitan - the most famous cliff in Yosemite - a 3,000 foot high block of granite opposite Bridalveil Falls, that dominates the western end of the valley. It is very popular with rock climbers, who sometimes have to camp overnight half way up, while securely fastened to narrow ledges." -- unknown author
Abstract 2723: MET exon 14 skipping mutations in advanced non-small cell lung cancer (NSCLC) are not associated with MET amplification and overexpression
No full textAbstract
Background: Activating alterations of the mesenchymal epithelial transition (MET) oncogene in NSCLC are potentially actionable with targeted MET inhibitors. MET exon 14 skipping mutations have been described in 3% of patients (p) in NSCLC,.Fluorescent in situ hybridization (FISH) and immunohistochemistry (IHC) are currently used for detecting MET amplification and overexpression, respectively, but are not useful to detect MET splicing variants. On the other hand, the reverse transcription-polymerase chain reaction (RT-PCR) technique has the potential to detect this actionable alteration.
Methods: We designed and validated a custom set of 5´and 3´ primers to detect the MET exon 14 splicing variant by RT-PCR. RNA isolation from FFPE samples was performed with Roche High Pure FFPET RNA isolation kit and M-MLV Reverse Transcriptase enzyme was used in the RT-PCR. A panel of cell lines was initially employed to assess the performance of the technique. Subsequently, a total of 232 formalin-fixed paraffin-embedded (FFPE) samples from advanced NSCLC patients were analyzed. Of them, 15 were positive by RT-PCR (n=209) for the MET exon 14 variant. The bands corresponding to the splicing variant were submitted to Sanger sequencing.
Results were compared with FISH (ZytoVision Dual Color probe Z-2087-200) and IHC (Ventana CONFIRM anti-Total c-MET (SP44)). Results: A total of 232 EGFR-wt advanced NSCLC p were analyzed by IHC and 42 (18.1%) were considered as positive (cut-off 3+≥ 50%). Regarding FISH, MET amplification was detected in 13 out of 58 p (22.4%) evaluable while the MET exon 14 skipping variant was detected in 15 (7.2%) out of 209 p . Unexpectedly, only three (21.4%) of the positive MET exon 14 skipping p by RT-PCR were positive for IHC. Finally, of the 15 MET exon 14 positive p, 5 were evaluable for FISH and none of them were positive for MET amplification.
Conclusion: In our cohort of 232 EGFR-wt, advanced NSCLC p, the MET exon 14 skipping mutation had an incidence of 7.2% No correlation was found between the presence of the MET exon 14 variant by RT-PCR and MET overexpression or amplification. Detection of MET exon 14 alterations poses a challenge for diagnostic testing.
Citation Format: Ana Gimenez-Capitan, Cristina Teixidó, Cristina Aguado, Sonia Rodríguez, Jordi Bertran-Alamillo, Josep Castellví, Zaira Yeste, Ana Pérez, Rafael Rosell, Miguel Angel Molina-Vila. MET exon 14 skipping mutations in advanced non-small cell lung cancer (NSCLC) are not associated with MET amplification and overexpression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2723. doi:10.1158/1538-7445.AM2017-2723</jats:p
q-expansions of vector-valued modular forms of negative weight
No full textIn this paper, we determine the q-expansions of vector-valued modular forms (Knopp and Mason in Ill. J. Math. 48:1345-1366, 2004; Acta Arith. 110(2): 117-124, 2003) of large negative weight on the full modular group where we allow poles in the upper half plane and at infinity. © 2011 Springer Science+Business Media, LLC.Eichler M., 1965, ACTA ARITH, V11, P169; Gimenez J., 2007, THESIS TEMPLE U; Knopp M, 2004, ILLINOIS J MATH, V48, P1345; Knopp M, 2003, ACTA ARITH, V110, P117, DOI 10.4064-aa110-2-2; Rademacher H, 1938, ANN MATH, V39, P433, DOI 10.2307-1968796; Raji W, 2009, INT J NUMBER THEORY, V5, P153; Zuckerman HS, 1940, AM J MATH, V62, P127, DOI 10.2307-23714430
LR1-052506 - photographs from Santa Clara, Santa Ana, Cagayan
No full textphotographs of Agta people from Santa Clara, Santa Ana, Cagayan, Philippines. LR1-052506-01 and -02 are Babylin Agcaoili. LR1-052506-03 are Garwet and Eleen Malingling. LR1-052506-04 is a man nicknamed "Capitan". LR1-052506-05 is Lingling Agcaoili. . Language as given
Evaluación de la calidad de la Madera de Prosopis alba en rodales semilleros
No full textEl algarrobo blanco, es una de las especies de mayor valor e importancia económicaen el país por el volumen que se comercializa, produce madera de buenas características físicas y mecánicas y dado su potencial forestal y maderero constituye un importante recurso para los pueblos de zonas áridas y semiáridas. Los objetivos del Proyecto PIA 10050, fueron estudiar y evaluar la variación de los parámetros de calidad de la madera de los rodales semilleros de Prosopis alba, futuras fuente de semilla con la finalidad de caracterizarlos e identificar los rodales más promisorios para uso sólido.Fil: Moglia, Juana Graciela. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales; ArgentinaFil: Cisneros, Ana Belén. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gimenez, Ana Maria Isabel. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Forestales; ArgentinaFil: López Launstein, Diego. Instituto Nacional de Tecnología Agropecuaria; Argentin
Correction to: Long-term changes in rainfed olive production, rainfall and farmer’s income in Bailén (Jaén, Spain) (Euro-Mediterranean Journal for Environmental Integration, (2021), 6, 2, (58), 10.1007/s41207-021-00268-1)
No full textThe article Long‐term changes in rainfed olive production, rainfall and farmer’s income in Bailén (Jaén, Spain), written by Jesús Rodrigo‐Comino, José María Senciales‐Gonzalez, Yang Yu, Luca Salvati, Antonio Gimenez‐Morera and Artemi Cerdà, was originally published electronically on the publisher’s internet portal on 18 June 2021 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 3 July 2021 to © The Author(s) 2021 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4.0. The original article has been corrected
When data do not bring information: A case study in markov random fields estimation
No full textThe Potts model is frequently used to describe the behavior of image classes, since it allows to incorporate contextual information linking neighboring pixels in a simple way. Its isotropic version has only one real parameter β, known as smoothness parameter or inverse temperature, which regulates the classes map homogeneity. The classes are unavailable and estimating them is central in important image processing procedures as, for instance, image classification. Methods for estimating the classes which stem from a Bayesian approach under the Potts model require to adequately specify a value for β. The estimation of such parameter can be efficiently made solving the pseudo maximum-likelihood (PML) equations in two different schemes, using the prior or the posterior model. Having only radiometric data available, the first scheme needs the computation of an initial segmentation, whereas the second uses both the segmentation and the radiometric data to make the estimation. In this paper, we compare these two PML estimators by computing the mean-square error (MSE), bias, and sensitivity to deviations from the hypothesis of the model. We conclude that the use of extra data does not improve the accuracy of the PML; moreover, under gross deviations from the model, this extra information introduces unpredictable distortions and bias.Fil: Gimenez Romero, Javier Alejandro. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomia y Física. Sección Matemática. Grupo de Probabilidad y Estadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Frery, Alejandro César. Universidade Federal de Alagoas; BrasilFil: Flesia, Ana Georgina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomia y Física. Sección Matemática. Grupo de Probabilidad y Estadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
Sistema experto para determinar el diagnóstico de enfermedades del cultivo de banano orgánico Williams de la empresa Ana Banana S.A
No full textEn el presente trabajo de Investigación sea identificando el problema de existencia de bananos con daños irreversibles, Lo cual esto genera una cierta cantidad de producción perdida, ya que ese banano desechable con daños irreversibles ya no sirve para exportación. Este problema general es una preocupación para los socios de la Empresa Ana Banana ya que a pesar de los cuidados al banano. Siempre al final de la producción reciben estos problemas.
Es por ello que elegimos priorizar el problema de las detecciones de enfermedades en el cultivo y es por eso que se formula esta pregunta ¿De qué manera se puede apoyar el diagnóstico de enfermedades en el cultivo del Banano Orgánico Williams de la Empresa Ana SAC en el año 2019?
Creemos que la implementación de un Sistema experto para determinar el diagnóstico de enfermedades en el cultivo de Banano, permita a ayudar a disminuir el número de bananos con daños irreversibles producidos en la Empresa Ana Banana de Piura.
El principal objetivo es implementar un sistema experto que apoye a determinar el diagnóstico de enfermedades en el cultivo de Banano Orgánico Williams de la Empresa Ana Banana S.A de la región de Piura. Primeramente, Emular el conocimiento humano con la formulación de reglas difusas, después validar la fiabilidad y la seguridad del sistema y finalmente verificar el control de las detecciones de enfermedades a través de los resultados obtenidos por el sistema experto.
Haremos uso de la metodología de desarrollo de Sistemas expertos por Niveles llamado COMMONKADS. Además, se utilizó Java, NetBeans. También se realizará un manual de usuario para que el Sistema Experto sea entendido para los que harán uso de este Prototipo asimismo también sea utilizado al 100%
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