A teaching/learning support tool for introductory programming courses

In This work we present a Web-based tool developed with the aim of reinforcing teaching and learning of introductory programming courses. This tool provides support for teaching and learning. From the teacher's perspective the system introduces important gains with respect to the classical teaching methodology. It reinforces lecture and laboratory sessions, makes it possible to give personalized attention to the student, assesses the degree of participation of the students and most importantly, performs a continuous assessment of the student's progress. From the student's perspective it provides a learning framework, consisting in a help environment and a correction environment, which facilitates their personal work. With this tool students are more motivated to do programming

An automatic correction tool for relational database schemas

A Web-based tool developed to automatically correct relational database schemas is presented. This tool has been integrated into a more general e-learning platform and is used to reinforce teaching and learning on database courses. This platform assigns to each student a set of database problems selected from a common repository. The student has to design a relational database schema and enter it into the system through a user friendly interface specifically designed for it. The correction tool corrects the design and shows detected errors. The student has the chance to correct them and send a new solution. These steps can be repeated as many times as required until a correct solution is obtained. Currently, this system is being used in different introductory database courses at the University of Girona with very promising results

Ampliació de les funcionalitats de l’ACME

L’ACME és una plataforma d’e-learning orientada a la correcció automàtica d’exercicis. Cada alumne té un dossier personalitzat d’exercicis, on cada exercici pot tenir una forma particular de correcció amb un nucli corrector diferent. Actualment l’ACME té diversos tipus d’exercicis entre ells hi ha: els matemàtics, els de programació, els de bases de dades relacionals, tipus tests, cert o fals, etc. Tot i tenir molts tipus d’exercicis de correcció automàtica, l’ACME no disposa de gaires exercicis de correcció manual, ni de treball en grup ni tampoc sistemes per avaluar de forma correcta els exercicis d’aquesta tipologia. Altres mancances del sistema les trobem en que no disposa de cap sistema d’importació i exportació de les assignatures i és per això que quan s'acaba un curs, si el professor vol repetir el mateix l'any següent ho ha de tornar a introduir tot.El que es pretén amb aquest és incorporar un conjunt de nous mòduls a l’ACME que permetin als usuaris facilitar les seves tasques i la interacció entre ells intentant cobrir les diferents mancances que hi ha.

Formación interactiva en entornos virtuales : una experiencia en screencasting

L'objectiu de la comunicació és donar a conèixer un estudi sobre els requisits que han de tenir els materials formatius en línia de les biblioteques, i difondre l'experiència pilot que s'ha dut a terme per a elaborar uns materials de formació en format vídeo a la Biblioteca Virtual de la Universitat Oberta de Catalunya.El punt de partida de l'estudi ha estat la necessitat de crear uns materials de formació nous, adaptats a les necessitats dels usuaris en un entorn virtual i en el marc de l'EEES, en el qual els estudiants cada vegada han de ser més autònoms i en què les competències informacionals són bàsiques. Tots aquests aspectes ens han portat a repensar els nostres materials formatius.

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

A new training set-up for trans-apical aortic valve replacement.

Trans-apical aortic valve replacement (AVR) is a new and rapidly growing therapy. However, there are only few training opportunities. The objective of our work is to build an appropriate artificial model of the heart that can replace the use of animals for surgical training in trans-apical AVR procedures. To reduce the necessity for fluoroscopy, we pursued the goal of building a translucent model of the heart that has nature-like dimensions. A simplified 3D model of a human heart with its aortic root was created in silico using the SolidWorks Computer-Aided Design (CAD) program. This heart model was printed using a rapid prototyping system developed by the Fab@Home project and dip-coated two times with dispersion silicone. The translucency of the heart model allows the perception of the deployment area of the valved-stent without using heavy imaging support. The final model was then placed in a human manikin for surgical training on trans-apical AVR procedure. Trans-apical AVR with all the necessary steps (puncture, wiring, catheterization, ballooning etc.) can be realized repeatedly in this setting.

Structure-based drug design studies of the interactions ofent-kaurane diterpenes derived from Wedelia paludosa with the Plasmodium falciparumsarco/endoplasmic reticulum Ca2+-ATPase PfATP6

Malaria is responsible for more deaths around the world than any other parasitic disease. Due to the emergence of strains that are resistant to the current chemotherapeutic antimalarial arsenal, the search for new antimalarial drugs remains urgent though hampered by a lack of knowledge regarding the molecular mechanisms of artemisinin resistance. Semisynthetic compounds derived from diterpenes from the medicinal plant Wedelia paludosawere tested in silico against the Plasmodium falciparumCa2+-ATPase, PfATP6. This protein was constructed by comparative modelling using the three-dimensional structure of a homologous protein, 1IWO, as a scaffold. Compound 21 showed the best docking scores, indicating a better interaction with PfATP6 than that of thapsigargin, the natural inhibitor. Inhibition of PfATP6 by diterpene compounds could promote a change in calcium homeostasis, leading to parasite death. These data suggest PfATP6 as a potential target for the antimalarial ent-kaurane diterpenes.

Computational drug design strategies applied to the modelling of human immunodeficiency virus-1 reverse transcriptase inhibitors

Reverse transcriptase (RT) is a multifunctional enzyme in the human immunodeficiency virus (HIV)-1 life cycle and represents a primary target for drug discovery efforts against HIV-1 infection. Two classes of RT inhibitors, the nucleoside RT inhibitors (NRTIs) and the nonnucleoside transcriptase inhibitors are prominently used in the highly active antiretroviral therapy in combination with other anti-HIV drugs. However, the rapid emergence of drug-resistant viral strains has limited the successful rate of the anti-HIV agents. Computational methods are a significant part of the drug design process and indispensable to study drug resistance. In this review, recent advances in computer-aided drug design for the rational design of new compounds against HIV-1 RT using methods such as molecular docking, molecular dynamics, free energy calculations, quantitative structure-activity relationships, pharmacophore modelling and absorption, distribution, metabolism, excretion and toxicity prediction are discussed. Successful applications of these methodologies are also highlighted.

Sexual dimorphism of the human mandible: demonstration by elliptical Fourier analysis.

A new quantitative approach of the mandibular sexual dimorphism, based on computer-aided image analysis and elliptical Fourier analysis of the mandibular outline in lateral view is presented. This method was applied to a series of 117 dentulous mandibles from 69 male and 48 female individuals native of Rhenish countries. Statistical discriminant analysis of the elliptical Fourier harmonics allowed the demonstration of a significant sexual dimorphism in 97.1% of males and 91.7% of females, i.e. in a higher proportion than in previous studies using classical metrical approaches. This original method opens interesting perspectives for increasing the accuracy of sex identification in current anthropological practice and in forensic procedures.

Curriculum sequencing for an e-learning system based on learning styles

This work shows the use of adaptation techniques involved in an e-learning system that considers students' learning styles and students' knowledge states. The mentioned e-learning system is built on a multiagent framework designed to examine opportunities to improve the teaching and to motivate the students to learn what they want in a user-friendly and assisted environment

To Monty Kier, a friendly tribute.

In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.

Generador de dossiers

La plataforma ACME (Avaluació Continuada i Millora de l’Ensenyament) va ser creada l’any 1998 per un grup de professors del departament d’Informàtica i Matemàtica Aplicada de la Universitat de Girona.L’ACME es va concebre com una plataforma d’e-learning, és a dir, un sistema que mitjançant l’ús d’Internet afavorís l’aprenentatge, permeten la interactivitat entre alumne i professor sobre un temari comú.Actualment l’ACME s’utilitza com a complement a les classes presencials, on el professor exposa de manera magistral els conceptes i resol algun exercici a mode d’exemple, per tal que després l’alumne, utilitzant la plataforma ACME, intenti resoldre els exercicis proposats pel professorL’objectiu d’aquest Projecte Final de Carrera és desenvolupar l’anàlisi, disseny i implementació de les modificacions necessàries a incorporar a la plataforma ACME per tal de generar documents PDF dels exercicis de l’ACME. El projecte consta de tres parts: Permetre que l’alumne sigui capaç d’obtenir un fitxer en el qual hi hagin tots els exercicis de l’assignatura escollida, El professor també podrà obtenir el dossier d’un alumne en concret, permetre que el professor pugui generar un dossier de problemes base a partir dels exercicis que hagi seleccionat del repositori i permetre que el professor pugui generar un conjunt de dossiers de problemes per a després repartir entre els seus alumnes

Correcció d'exercicis de lògica per l'ACME

La Universitat de Girona, i més concretament el Departament d’Informàtica i Matemàtica Aplicada, ja fa uns anys que ha posat en marxa el Projecte Avaluació Continuada i Millora de l’Ensenyament, també anomenat ACME. Aquest projecte és una plataforma d'e-learning, és a dir, un sistema d’aprenentatge a través de la xarxa que potencia la col•laboració digital i el bescanvi d’informació entre alumne i professor. El creixement que ha experimentat la plataforma, ha estat possible gràcies al disseny modular de l’aplicació, on cada nova funcionalitat que estava essent desenvolupada evolucionava de manera independent a la resta de la plataforma i sense comprometre’n el funcionament. Per afegir un nou mòdul a l’ACME, s’utilitzen els mòduls de base que confereixen l'estructura a la plataforma i les eines per incorporar nous mòduls, amb el que la implantació d’aquests a la plataforma és d’elevada senzillesa. Actualment, la majoria de les assignatures de primer del Grau d’Informàtica ja disposen d’exercicis adaptats a la plataforma, el que dóna una uniformitat en les eines i plataformes que utilitzen els alumnes en la seva formació. Però no hi són totes les assignatures, falta incloure l’assignatura de Lògica a la plataforma. D’aquesta manera, tant els alumnes com els professors de l’assignatura, podran treure profit dels beneficis esmentats que aporta l’ACME. Concretament, a l’assignatura de Lògica es disposava d’uns aplicatius a la plataforma Moodle de la Universitat de Girona on es guiava a l’alumne en la resolució dels exercicis. Aquest mètode és molt interessant com a mètode pedagògic per a l’aprenentatge inicial de l’assignatura, però no representa un repte real on els alumnes hagin d’aplicar els seus coneixements per a la seva realització. Els alumnes també disposaven d’un dossier on se’ls proposava uns exercicis molt complets, i a les pàgines finals d’aquest se’ls donava la solució. Aleshores, de manera voluntària els alumnes realitzaven els exercicis i comprovaven amb la solució si havien aprés a resoldre’ls. Per tant, tant els responsables de l'assignatura de Lògica com els responsables de la plataforma ACME van veure que es podrien desenvolupar eines a l'ACME per tal de corregir de forma automàtica els exercicis de l'assignatura. Incorporar l’assignatura de Lògica a l’ACME permet que els alumnes es vegin més involucrats a fer exercicis durant els curs de manera continuada, gràcies als terminis d’entrega, i facilita als professors la seva tasca deslliurant-los de les correccions i oferint-los-hi eines de seguiment

A dramatic lung cancer course in a patient with a rare EGFR germline mutation exon 21 V843I: Is EGFR TKI resistance predictable?

We report on the medical history of a Caucasian smoker woman diagnosed with a stage IV NSCLC adenocarcinoma, characterized by a rare epidermal growth factor receptor (EGFR) point mutation in exon 21 codon 843 (p.V843I/c.2527G>A/COSMIC ID 85894). This genetic alteration revealed to be germline, after its presence was demonstrated in chondroblasts from the bone biopsy. While it is the first description of germline V843I mutation without concomitant additional known EGFR activating mutation, we modeled the EGFR ATP catalytic domain in complex with ATP, gefitinib and erlotinib using computer-aided approaches to estimate possible changes in affinity upon the V843I mutation.

Embedding objects into Matlab/Simulink for process supervision

This paper introduces how artificial intelligence technologies can be integrated into a known computer aided control system design (CACSD) framework, Matlab/Simulink, using an object oriented approach. The aim is to build a framework to aid supervisory systems analysis, design and implementation. The idea is to take advantage of an existing CACSD framework, Matlab/Simulink, so that engineers can proceed: first to design a control system, and then to design a straightforward supervisory system of the control system in the same framework. Thus, expert systems and qualitative reasoning tools are incorporated into this popular CACSD framework to develop a computer aided supervisory system design (CASSD) framework. Object-variables an introduced into Matlab/Simulink for sharing information between tools