Neural Networks

We present an overview of current research on artificial neural networks, emphasizing a statistical perspective. We view neural networks as parameterized graphs that make probabilistic assumptions about data, and view learning algorithms as methods for finding parameter values that look probable in the light of the data. We discuss basic issues in representation and learning, and treat some of the practical issues that arise in fitting networks to data. We also discuss links between neural networks and the general formalism of graphical models.

Quick Introduction to D3

Introduction to d3.js with run through of example from O'Reily book.

Formative-2-Isometrics-to-Drawings - Storyline

Formative exercise on 2D/3D visualisation and interpreting engineering drawings for FEEG1001 students.

Types of chart and storytelling

Two lectures, first part on charts, second on data stories

Factores asociados al dolor crónico posoperatorio en pacientes llevados a herniorrafia inguinal

Introducción: La herniorrafia inguinal se asocia hasta en un 50% de los casos con dolor crónico posoperatorio (DCP), y en algunos puede ser incapacitante. En este estudio se evaluaron los factores asociados al DCP en pacientes llevados a herniorrafia inguinal. Métodología: Se realizó un estudio de cohorte multicéntrico. Se obtuvo información sociodemográfica y de antecedentes personales. Se determinó la presencia e intensidad de dolor agudo posoperatorio (DAP) y se evaluaron los factores asociados al DCP con seguimiento a los dos meses del posoperatorio. Se establecieron asociaciones con la prueba chi cuadrado. Mediante una regresión lineal se evaluó el papel de los factores de confusión. Resultados: Se analizaron 108 pacientes. 54.7% presentaron DCP. La edad menor de 40 años, el DAP no controlado, el DAP severo, y el dolor no controlado entre la primera y tercera semanas del POP se relacionaron con mayor riesgo de DCP. La edad mayor a 65, el uso de opioides intratecales, la visualización y preservación de los nervios durante la cirugía, y el uso de tres o más analgésicos intravenosos con bloqueo ilioinguinal/iliohipogástrico fueron factores protectores. Discusión: El DCP es frecuente en nuestro medio. La prevención y manejo eficientes del DAP utilizando analgesia multimodal, el uso de opioide intratecal, y la identificación y preservación de los nervios en el área quirúrgica ayudan a prevenir el desarrollo de DCP. Estudios de este tipo realizados a una escala más grande, permitirán identificar otros factores relacionados con esta patología. Palabras clave: Dolor crónico postoperatorio, herniorrafia inguinal, inguinodina, factores asociados.

Problemas y consecuencias del resurgir del pragmatismo norteamericano: 1952-1976

Revisión crítica de la ‘versión heredada’ sobre el resurgir del pragmatismo norteamericano. Aquí sostengo que ésta es una narrativa sobre la historia de la filosofía que puede ser usada para “reivindicar” la continuidad o para “añorar” la pérdida de esa tradición. Presento tres argumentos a favor de mi tesis sobre la versión heredada: i) es insuficiente para explicar el surgimiento del pragmatismo; ii) es un tipo de narrativa que hace plausible una imagen de la filosofía; iii) impide apreciar que la formación del canon obedece a los propósitos de los seguidores del movimiento.

A comparative analysis of two methods for the calculation of electric-field-induced perturbations to molecular vibration

Two common methods of accounting for electric-field-induced perturbations to molecular vibration are analyzed and compared. The first method is based on a perturbation-theoretic treatment and the second on a finite-field treatment. The relationship between the two, which is not immediately apparent, is made by developing an algebraic formalism for the latter. Some of the higher-order terms in this development are documented here for the first time. As well as considering vibrational dipole polarizabilities and hyperpolarizabilities, we also make mention of the vibrational Stark effec

Quantified real constraint solving using modal intervals with applications to control

Les restriccions reals quantificades (QRC) formen un formalisme matemàtic utilitzat per modelar un gran nombre de problemes físics dins els quals intervenen sistemes d'equacions no-lineals sobre variables reals, algunes de les quals podent ésser quantificades. Els QRCs apareixen en nombrosos contextos, com l'Enginyeria de Control o la Biologia. La resolució de QRCs és un domini de recerca molt actiu dins el qual es proposen dos enfocaments diferents: l'eliminació simbòlica de quantificadors i els mètodes aproximatius. Tot i això, la resolució de problemes de grans dimensions i del cas general, resten encara problemes oberts. Aquesta tesi proposa una nova metodologia aproximativa basada en l'Anàlisi Intervalar Modal, una teoria matemàtica que permet resoldre problemes en els quals intervenen quantificadors lògics sobre variables reals. Finalment, dues aplicacions a l'Enginyeria de Control són presentades. La primera fa referència al problema de detecció de fallades i la segona consisteix en un controlador per a un vaixell a vela.

A multi-scale framework for strategic management of diffuse pollution

A multi-scale framework for decision support is presented that uses a combination of experiments, models, communication, education and decision support tools to arrive at a realistic strategy to minimise diffuse pollution. Effective partnerships between researchers and stakeholders play a key part in successful implementation of this strategy. The Decision Support Matrix (DSM) is introduced as a set of visualisations that can be used at all scales, both to inform decision making and as a communication tool in stakeholder workshops. A demonstration farm is presented and one of its fields is taken as a case study. Hydrological and nutrient flow path models are used for event based simulation (TOPCAT), catchment scale modelling (INCA) and field scale flow visualisation (TopManage). One of the DSMs; The Phosphorus Export Risk Matrix (PERM) is discussed in detail. The PERM was developed iteratively as a point of discussion in stakeholder workshops, as a decision support and education tool. The resulting interactive PERM contains a set of questions and proposed remediation measures that reflect both expert and local knowledge. Education and visualisation tools such as GIS, risk indicators, TopManage and the PERM are found to be invaluable in communicating improved farming practice to stakeholders. (C) 2008 Elsevier Ltd. All rights reserved.

Using remotely sensed data to support flood modelling

Recent severe flooding in the UK has highlighted the need for better information on flood risk, increasing the pressure on engineers to enhance the capabilities of computer models for flood prediction. This paper evaluates the benefits to be gained from the use of remotely sensed data to support flood modelling. The remotely sensed data available can be used either to produce high-resolution digital terrain models (DTMs) (light detection and ranging (Lidar) data), or to generate accurate inundation mapping of past flood events (airborne synthetic aperture radar (SAR) data and aerial photography). The paper reports on the modelling of real flood events that occurred at two UK sites on the rivers Severn and Ouse. At these sites a combination of remotely sensed data and recorded hydrographs was available. It is concluded first that light detection and ranging Lidar generated DTMs support the generation of considerably better models and enhance the visualisation of model results and second that flood outlines obtained from airborne SAR or aerial images help develop an appreciation of the hydraulic behaviour of important model components, and facilitate model validation. The need for further research is highlighted by a number of limitations, namely: the difficulties in obtaining an adequate representation of hydraulically important features such as embankment crests and walls; uncertainties in the validation data; and difficulties in extracting flood outlines from airborne SAR images in urban areas.

Boundary value problems for the N-wave interaction equations

We consider boundary value problems for the N-wave interaction equations in one and two space dimensions, posed for x [greater-or-equal, slanted] 0 and x,y [greater-or-equal, slanted] 0, respectively. Following the recent work of Fokas, we develop an inverse scattering formalism to solve these problems by considering the simultaneous spectral analysis of the two ordinary differential equations in the associated Lax pair. The solution of the boundary value problems is obtained through the solution of a local Riemann–Hilbert problem in the one-dimensional case, and a nonlocal Riemann–Hilbert problem in the two-dimensional case.

General derivative relations for anharmonic force fields

The brace notation, introduced by Allen and Csaszar (1993, J. chem. Phys., 98, 2983), provides a simple and compact way to deal with derivatives of arbitrary non-tensorial quantities. One of its main advantages is that it builds the permutational symmetry of the derivatives directly into the formalism. The brace notation is applied to formulate the general nth-order Cartesian derivatives of internal coordinates, and to provide closed forms for general, nth-order transformation equations of anharmonic force fields, expressed as Taylor series, from internal to Cartesian or normal coordinate spaces.