Charged-Current Neutral Pion production at SciBooNE

SciBooNE, located in the Booster Neutrino Beam at Fermilab, collected data from June 2007 to August 2008 to accurately measure muon neutrino and anti-neutrino cross sections on carbon below 1 GeV neutrino energy. SciBooNE is studying charged current interactions. Among them, neutral pion production interactions will be the focus of this poster. The experimental signature of neutrino-induced neutral pion production is constituted by two electromagnetic cascades initiated by the conversion of the neutral pion decay photons, with an additional muon in the final state for CC processes. In this poster, I will present how we reconstruct and select charged-current muon neutrino interactions producing neutral pions in SciBooNE.Comment: NuInt09 poster proceedings, 4 page

Artificial Intelligence Techniques for Automatic Reformulation and Solution of Structured Mathematical Models

Complex, hierarchical, multi-scale industrial and natural systems generate increasingly large mathematical models. Practitioners are usually able to formulate such models in their "natural" form; however, solving them often requires finding an appropriate reformulation to reveal structures in the model which make it possible to apply efficient, specialized approaches. The search for the "best" formulation of a given problem, the one which allows the application of the solution algorithm that best exploits the available computational resources, is currently a painstaking process which requires considerable work by highly skilled personnel. Experts in solution algorithms are required for figuring out which (formulation, algorithm) pair is better used, considering issues like the appropriate selection of the several obscure algorithmic parameters that each solution methods has. This process is only going to get more complex, as current trends in computer technology dictate the necessity to develop complex parallel approaches capable of harnessing the power of thousands of processing units, thereby adding another layer of complexity in the form of the choice of the appropriate (parallel) architecture. All this renders the use of mathematical models exceedingly costly and difficult for many potentially fruitful applications. The \name{} environment, proposed in this Thesis, aims at devising a software system for automatizing the search for the best combination of (re)formulation, solution algorithm and its parameters (comprised the computational architecture), until now a firm domain of human intervention, to help practitioners bridging the gap between mathematical models cast in their natural form and existing solver systems. I-DARE deals with deep and challenging issues, both from the theoretical and from an implementative viewpoint: 1) the development of a language that can be effectively used to formulate large-scale structured mathematical models and the reformulation rules that allow to transform a formulation into a different one; 2) a core subsystem capable of automatically reformulating the models and searching in the space of (formulations, algorithms, configurations) able to "the best" formulation of a given problem; 3) the design of a general interface for numerical solvers that is capable of accommodate and exploit structure information. To achieve these goals I-DARE will propose a sound and articulated integration of different programming paradigms and techniques like, classic Object-Oriented programing and Artificial Intelligence (Declarative Programming, Frame-Logic, Higher-Order Logic, Machine Learning). By tackling these challenges, I-DARE may have profound, lasting and disruptive effects on many facets of the development and deployment of mathematical models and the corresponding solution algorithms

Lubrication analysis of peristaltic motion in non-axisymmetric annular tubes

This paper addresses peristaltic flow induced in a non-axisymmetric annular tube by a periodic small-amplitude wave of arbitrary shape propagating axially along its inner surface, assumed to be a circular cylinder. The study is motivated by recent in vivo experimental observations pertaining to the flow of cerebrospinal fluid along the perivascular spaces of cerebral arteries. The analysis employs the lubrication approximation, describing low-Reynolds-number peristaltic flow in the long-wavelength approximation. Closed-form analytic expressions are derived for the average pumping rate in infinitely long tubes and also in tubes of finite length. Consideration is also given to the transverse motion arising in non-axisymmetric tubes. For small-amplitude waves, the solution is reduced to the integration of a parameter-free Stokes-flow problem, which is solved for relevant cross-sectional shapes, with closed-form analytical results derived for thin canals

Colloid Carcinoma of the Pancreas: A Distinct Pancreatic Neoplasm with Good Prognosis. Report of a Case

Context: Colloid carcinoma is considered a distinct type of pancreatic neoplasia with specific histopathological and molecular features, and a better prognosis. Case report We present the case of a patient with a 15cm locally invasive colloid carcinoma of the pancreas, in which an aggressive surgical approach achieved no evidence of disease 24 months after surgery. Conclusions If an accurate diagnostic approach and surgical resection are performed, the 5-year survival rate can reach 60%. Presence of invasive intraductal papillary mucinous neoplasm has been reported, and this can affect the prognosis. Adjuvant therapy has not demonstrated improvement of survival in surgically-resected patients

MANUAL DE PRÁCTICAS DE LABORATORIO: FUNDAMENTOS DE ROBÓTICA

MANUAL PARA PRÁCTICAS DE LABORATORIO, TALLER U OTRA ÁREA DE APOYO A LA DOCENCI

Representation of Robots in Matlab

Electronic versíon of an article published as International Journal of Software Engineering and Knowledge Engineering, Volume 29, issue 1, 2019, pp. 23-42. 10.1142/S0218194019500025 © World Scientific Publishing Company[EN] This paper presents a new software tool, namely RoboClass, to include and manage realistic robots and elements of the environment in Matlab simulations. These elements are loaded from CAD models using an STL-file and can be as detailed as desired. All the steps involved in the process are explained in detail. Furthermore, two illustrative examples are considered to show the effectiveness and versatility of the proposed approach: the ABB-IRB120 industrial robot and the CSA research robot. The developed tool is especially useful both for robotics research and teaching.Sanchez, A.; Gracia Calandin, LI.; Morales, R.; Perez-Vidal, C. (2019). Representation of Robots in Matlab. International Journal of Software Engineering and Knowledge Engineering. 29(1):23-42. https://doi.org/10.1142/S0218194019500025S234229

MANUAL DE PRACTICAS DE LABORATORIO: "ALGORITMOS COMPUTACIONALES"

MANUAL PARA PRÁCTICAS DE LABORATORIO, TALLER U OTRA ÁREA DE APOYO A LA DOCENCI

Face Recognition Based on Texture Descriptors

In this chapter, the performance of different texture descriptor algorithms used in face feature extraction tasks are analyzed. These commonly used algorithms to extract texture characteristics from images, with quite good results in this task, are also expected to provide fairly good results when used to characterize the face in an image. To perform the testing task, an AR face database, which is a standard database that contains images of 120 people, was used, including 70 images with different facial expressions and 30 with sunglasses, and all of them with different illumination intensity. To train the recognition system from one to seven images were used for each person. Different classifiers like Euclidean distance, cosine distance, and support vector machine (SVM) were also used, and the results obtained were higher than 98% for classification, achieving a good performance in verification task. This chapter was also compared with other schemes, showing the effectiveness of all of them