Análisis del formato del material educativo para la docencia de la estadística para psicólogos.

El objetivo del presente trabajo consistió en analizar la valoración que realizan los alumnos de la asignatura Análisi de Dades en Psicologia de los diferentes materiales puestos a su disposición para el proceso de enseñanza-aprendizaje de esta materia, con el fin último de poder facilitar al alumnado el material más adecuado para el fomento de su trabajo autónomo. Para ello se administró un cuestionario elaborado ad-hoc en el que se preguntó sobre el diferente tipo de material que tenían a su disposición los alumnos matriculados en esta asignatura en el primer semestre del curso académico 2008-09; en concreto se trabajó con una muestra de 391 estudiantes. Los resultados mostraron que el material mejor evaluado fue el tradicional, es decir, el formulario de la asignatura, el dossier de problemas junto con sus soluciones y las clases, tanto las magistrales como prácticas; en tanto que el material más basado en las nuevas tecnologías fue el peor valorado (CD-Roms interactivos, páginas Web, glosario generado por los alumnos en el campus virtual de la asignatura).

Aspectes metodològics i técnica d'analisi en l'estudi dels grups i les classes socials

En aquest article es presenta el procés metodològic, com també les tècniques d'anàlisi de dades, que s'ha utilitzat en l'anàisi dels grups socials mitjançant la informació d'una gran enquesta sobre hàbits i condicions de vida. L'anàlisi dels grups socials des d'una perspectiva globalitzadora i estructuradora de les condicions de vida, tenint en compte com aquests sorgeixen mitjançant I 'associació i la coherència entre múltiples característiques. Les tècniques d'anàlisi de dades que s'han utilitzat han estat l'anàlisi de correspondències múltiples i l'anàlisi de classificació.

L'estadística i els nous mitjans de càlcul

Aquesta exposició vol presentar breument el ventall d'eines disponibles, la terminologia utilitzada i, en general, el marc metodològic de l'estadística exploratoria i de l'analisi de dades, el paradigma de la disciplina.En el decurs dels darrers anys, la disciplina no ha estat pas capgirada, però de tota manera sí que cal una actualització permanent.S'han forjat i provat algunes eines gairebé només esbossades, han aparegut nous dominis d'aplicació. Cal precisar la relació amb els competidors i dinamics veïns (intel·ligencia artificial, xarxes neurals, Data Mining). La perspectiva que presento dels mètodes d'anàlisi de dades emana evidentment d'un punt de vista particular; altres punts de vista poden ser igualment vàlids

La Vil·la romana dels Hospitals (El Morell, Tarragona) : un assentament de la via De Italia in Hispanias

Es tracta d’una obra fruit d’un conveni de col·laboració signat l’any 2004 entre la URV, l’ICAC i Repsol YPF, i resultat d’un projecte de recerca de l’ICAC inclòs en la línia de recerca Arqueologia del paisatge, poblament i territori, que ha comptat amb el cofinançament de Repsol YPF i la col·laboració de Codex. Aquesta obra se centra en les excavacions arqueològiques efectuades en una vil·la romana situada entre la via Tarraco-Ilerda i la llera del riu Francolí, a l’actual terme municipal del Morell. És un assentament datat entre els segles II aC i V dC que reflecteix els patrons d’ocupació romana a l’àrea central de l’ager Tarraconensis i complementa, a partir d’una exhaustiva anàlisi, les dades històriques que, fins a l’actualitat, oferien les vil·les de Centcelles a Constantí o de Paret Delgada a la Selva del Camp. L’estudi parteix de les excavacions que l’empresa Codex hi va efectuar l’any 1996 arran d’una actuació d’urgència motivada per la construcció d’una nova planta industrial de l’aleshores Repsol Química SA. L’obra és fruit de l’estudi de la documentació, fins ara inèdita, elaborada per l’empresa Codex i que ha estat cedida per a aquest projecte de recerca. La publicació ha estat coordinada per Josep M. Macias Solé i Joan J. Menchon Bes i els textos són obra del Dr. Domènec Campillo, M. Milagros Cuesta i Laura Devenat (Laboratori de Paleopatologia i Paleoantropologia, Museu d’Arqueologia de Catalunya), Montserrat García Noguera (Codex – Arqueologia i Patrimoni), Miguel Á. González Pérez (Grup de Recerca d’Arqueologia Clàssica, Protohistòrica i Egípcia, Universitat de Barcelona), Josep M. Macias Solé (ICAC), Joan J. Menchon Bes (Museu d’Història de Tarragona), Joan S. Mestres i Torres (Laboratori de Datació per Radiocarboni, Universitat de Barcelona), Rosario Navarro Sáez (Universitat de Barcelona), Josep M. Palet Martínez (ICAC) i Jordi Principal Ponce (Museu d’Arqueologia de Catalunya). Amb la nova col·lecció Hic et nunc l’ICAC assumeix el compromís de difondre regularment la documentació arqueològica bàsica generada des del camp universitari o empresarial, entenent que la publicació d’aspectes més concrets és imprescindible per a l’elaboració de síntesis més globalitzadores.

Redefining dropping out in online higher education: a case study from the UOC

In recent years, studies into the reasons for dropping out of higher education (including online education) have been undertaken with greater regularity, parallel to the rise in the relative weight of this type of education, compared with brick-and-mortar education. However, the work invested in characterising the students who drop out of education, compared with those who do not, appears not to have had the same relevance as that invested in the analysis of the causes. The definition of dropping out is very sensitive to the context. In this article, we reach a purely empirical definition of student dropping out, based on the probability of not continuing a specific academic programme following several consecutive semesters of "theoretical break". Dropping out should be properly defined before analysing its causes, as well as comparing the drop-out rates between the different online programmes, or between online and on-campus ones. Our results show that there are significant differences among programmes, depending on their theoretical extension, but not their domain of knowledge.

Disseny de recursos docents en base a l’anàlisi de casos utilitzant les TIC: Gestió tècnica i econòmica de les explotacions porcines

La realització d’aquest projecte pretén crear una metodologia de treball didàctica per tal de que els alumnes que estiguin cursant els estudis d’enginyeria tècnica agrícola i enginyeria agrònoma tinguin el material docent necessari per realitzar un anàlisis crític i resolució de casos pràctics. L’objectiu principal d’aquest projecte és l’estructuració i anàlisi de dades sobre la gestió tècnica i econòmica de les explotacions porcines aplicades a l’estudi de casos per crear un model d’aprenentatge didàctic. S’elaboraràn els casos en format virtual (web) per tal de que l’alumne pugui tenir un espai d’autoformació, i disposi de tot el material necessari i complementari per arribar a realitzar un anàlisi de la gestió tècnica i econòmica d’una explotació porcina.

Computational toolbox towards evolutionary domain mapping of membrane proteins

Membrane proteins account for about 20% to 30% of all proteins encoded in a typical genome. They play central roles in multiple cellular processes mediating the interaction of the cell with its surrounding. Over 60% of all drug targets contain a membrane domain. The experimental difficulties of obtaining a crystal structural severely limits our ability or understanding of membrane protein function. Computational evolutionary studies of proteins are crucial for the prediction of 3D structures. In this project, we construct a tool able to quantify the evolutionary positive selective pressure on each residue of membrane proteins through maximum likelihood phylogeny reconstruction. The conservation plot combined with a structural homology model is also a potent tool to predict those residues that have essentials roles in the structure and function of a membrane protein and can be very useful in the design of validation experiments.

Gene Set Analysis for improving genetic association studies

Introduction. Genetic epidemiology is focused on the study of the genetic causes that determine health and diseases in populations. To achieve this goal a common strategy is to explore differences in genetic variability between diseased and nondiseased individuals. Usual markers of genetic variability are single nucleotide polymorphisms (SNPs) which are changes in just one base in the genome. The usual statistical approach in genetic epidemiology study is a marginal analysis, where each SNP is analyzed separately for association with the phenotype. Motivation. It has been observed, that for common diseases the single-SNP analysis is not very powerful for detecting genetic causing variants. In this work, we consider Gene Set Analysis (GSA) as an alternative to standard marginal association approaches. GSA aims to assess the overall association of a set of genetic variants with a phenotype and has the potential to detect subtle effects of variants in a gene or a pathway that might be missed when assessed individually. Objective. We present a new optimized implementation of a pair of gene set analysis methodologies for analyze the individual evidence of SNPs in biological pathways. We perform a simulation study for exploring the power of the proposed methodologies in a set of scenarios with different number of causal SNPs under different effect sizes. In addition, we compare the results with the usual single-SNP analysis method. Moreover, we show the advantage of using the proposed gene set approaches in the context of an Alzheimer disease case-control study where we explore the Reelin signal pathway.

Analysis of the mitochondrial DNA of Schizophrenia patients by next generation sequencing

Mitochondrial DNA (mtDNA), a maternally inherited 16.6-Kb molecule crucial for energy production, is implicated in numerous human traits and disorders. It has been hypothesized that the presence of mutations in the mtDNA may contribute to the complex genetic basis of schizophreniadisease, due to the evidence of maternal inheritance and the presence of schizophrenia symptoms in patients affected of a mitochondrial disorder related to a mtDNA mutation. The present project aims to study the association of variants of mitochondrial DNA (mtDNA), and an increased risk of schizophrenia in a cohort of patients and controls from the same population. The entire mtDNA of 55 schizophrenia patients with an apparent maternal transmission of the disease and 38 controls was sequenced by Next Generation Sequencing (Ion Torrent PGM, Life Technologies) and compared to the reference sequence. The current method for establishing mtDNA haplotypes is Sanger sequencing, which is laborious, timeconsuming, and expensive. With the emergence of Next Generation Sequencing technologies, this sequencing process can be much more quickly and cost-efficiently. We have identified 14 variants that have not been previously reported. Two of them were missense variants: MTATP6 p.V113M and MTND5 p.F334L ,and also three variants encoding rRNA and one variant encoding tRNA. Not significant differences have been found in the number of variants between the two groups. We found that the sequence alignment algorithm employed to align NGS reads played a significant role in the analysis of the data and the resulting mtDNA haplotypes. Further development of the bioinformatics analysis and annotation step would be desirable to facilitate the application of NGS in mtDNA analysis.

Clopidogrel Pharmacogenetics, resistance to antiplatelet therapy in ischemic stroke by Epigenome Wide Association Study (EWAS).

Clopidogrel is a widely used antiplatelet drug used in preventing vascular events after suffering a first stoke. Genome-wide association studies (GWAS) has not been able to establish a clear association between polymorphisms and recurrence. Therefore in the present final master project an epigenetic approach is proposed. Using an array based technology, 450.000 CpG sites across all genome were assessed in 48 individuals (21 cases and 21 controls). Looking at differentially methylated levels between cases and controls, 58 CpG sites (DMGs) were found. Although, no clear locus was observed. Looking individually to each 49 genes, two appeared to be important to our study. TRAF3 and ADAMTS2 are gens highly related to platelet aggregation. In orther to confirm these result, a new DNA methylation study will be done in a larger cohort, using Sequenom technology.

Study of tergal glands morphogenesis through an integrative analysis of genomic data

About 50% of living species are holometabolan insects. Therefore, unraveling the ori- gin of insect metamorphosis from the hemimetabolan (gradual metamorphosis) to the holometabolan (sudden metamorphosis at the end of the life cycle) mode is equivalent to explaining how all this biodiversity originated. One of the problems with studying the evolution from hemimetaboly to holometaboly is that most information is available only in holometabolan species. Within the hemimetabolan group, our model, the cock- roach Blattella germanica, is the most studied species. However, given that the study of adult morphogenesis at organismic level is still complex, we focused on the study of the tergal gland (TG) as a minimal model of metamorphosis. The TG is formed in tergites 7 and 8 (T7-8) in the last days of the last nymphal instar (nymph 6). The comparative study of four T7-T8 transcriptomes provided us with crucial keys of TG formation, but also essential information about the mechanisms and circuitry that allows the shift from nymphal to adult morphogenesis.

Integrating quantitative proteomics and metabolomics in a cellular model of diabetic retinopathy

Diabetic retinopathy is the leading cause of visual loss in individuals under the age of 55. Most investigations into the pathogenesis of diabetic retinopathy have been concentrated on the neural retina since this is where clinical lesions are manifested. Recently, however, various abnormalities in the structural and secretory functions of retinal pigment epithelium that are essential for neuroretina survival, have been found in diabetic retinopathy. In this context, here we study the effect of hyperglycemic and hypoxic conditions on the metabolism of a human retinal pigment epithelial cell line (ARPE-19) by integrating quantitative proteomics using tandem mass tagging (TMT), untargeted metabolomics using MS and NMR, and 13C-glucose isotopic labeling for metabolic tracking. We observed a remarkable metabolic diversification under our simulated in vitro hyperglycemic conditions of diabetes, characterized increased flux through polyol pathways and inhibition of the Krebs cycle and oxidative phosphorylation. Importantly, under low oxygen supply RPE cells seem to consume rapidly glycogen storages and stimulate anaerobic glycolysis. Our results therefore pave the way to future scenarios involving new therapeutic strategies addressed to modulating RPE metabolic impairment, with the aim of regulating structural and secretory alterations of RPE. Finally, this study shows the importance of tackling biomedical problems by integrating metabolomic and proteomics results.

Finding and characterizing Partially Methylated Domains in human haematopoietic cells

DNA cytosine methylation has been demonstrated to be a central epigenetic modification that has essential roles in a myriad of cellular processes. Some examples of these include gene regulation, DNA-protein interactions, cellular differentiation, X-inactivation, maintenance of genome integrity by suppressing transposable elements and viruses, embryogenesis, genomic imprinting and tumourigenesis. This list is increasingly growing thanks to recent advances in genome-wide technologies, like Whole Genome Bisulfite Sequencing (WGBS-Seq). The development of this technology in research has allowed the identification of new features of the DNA methylation landscape that was not possible using previous technologies, like Partially Methylated Domains (PMDs). PMDs have been found in several cell lines, as well as in both healthy and cancer primary samples. They have been described as regions with high variability in methylation levels across individual CpG sites and intermediate methylation levels on average with respect to the genome. Here, we performed an extensive search of PMDs in a big dataset of different haematopoietic primary cells from both myeloid and lymphoid lineages. We found and characterized significant PMDs in plasma B cells, confirming that PMDs are a phenomenon that is restricted to certain differentiated cells. Additionally, we found loci aberrantly hypomethylated in a myeloma sample which overlapped with plasma B cell PMDs. Genome-wide comparison of the myeloma and plasma B cell sample revealed that this is probably also the case for other loci.

Identification of molecular subtypes and gene expression patterns of breast cancer analysing RNA-seq data

Breast cancer is the most common diagnosed cancer and the leading cause of cancer death among females worldwide. It is considered a highly heterogeneous disease and it must be classified into more homogeneous groups. Hence, the purpose of this study was to classify breast tumors based on variations in gene expression patterns derived from RNA sequencing by using different class discovery methods. 42 breast tumors paired-samples were sequenced by Illumine Genome Analyzer and the data was analyzed and prepared by TopHat2 and htseq-count. As reported previously, breast cancer could be grouped into five main groups known as basal epithelial-like group, HER2 group, normal breast-like group and two Luminal groups with a distinctive expression profile. Classifying breast tumor samples by using PAM50 method, the most common subtype was Luminal B and was significantly associated with ESR1 and ERBB2 high expression. Luminal A subtype had ESR1 and SLC39A6 significant high expression, whereas HER2 subtype had a high expression of ERBB2 and CNNE1 genes and low luminal epithelial gene expression. Basal-like and normal-like subtypes were associated with low expression of ESR1, PgR and HER2, and had significant high expression of cytokeratins 5 and 17. Our results were similar compared with TGCA breast cancer data results and with known studies related with breast cancer classification. Classifying breast tumors could add significant prognostic and predictive information to standard parameters, and moreover, identify marker genes for each subtype to find a better therapy for patients with breast cancer.