Tapiola-ryhmän Yhtiökokousjärjestelmä-ohjelmiston määrittely ja suunnittelu

Tässä insinöörityössä selvitettiin mahdollisuuksia parantaa Tapiola-ryhmän Yhtiökokousjärjestelmä-ohjelmiston ominaisuuksia ja tietoturvallisuutta. Järjestelmää käytetään Tapiola-ryhmän vakuutusyhtiöiden yhtiökokouksiin osallistuvien osakkaiden kirjaamiseen ja heidän äänten laskentaan. Tutkimuksen perusteella tehtiin järjestelmän määrittely ja suunnittelu, joiden tuloksena syntyivät toiminnallinen ja tekninen määrittelydokumentaatio, jotka toimivat pohjana uuden Yhtiökokousjärjestelmän toteutukselle. Työ tehtiin Tapiola-ryhmälle Tieto-Tapiola Oy:n tilauksesta. Työn alussa tutkittiin erilaisia mahdollisuuksia toteuttaa järjestelmän ohjelmisto- ja tietokanta-arkkitehtuuri, joiden perusteella määrittelyä ja suunnittelua alettiin toteuttaa. Tutkimuksen perusteella päädyttiin käyttämään Java SE -arkkitehtuuria sovelluksen toteutukseen ja SQL Server -tietokantaa järjestelmän tietovarastona. Valittuihin ratkaisuihin päädyttiin niiden hyvien tietoturvallisuus- ja kertakirjausominaisuuksien takia. Toiminnallisessa määrittelydokumentissa käydään läpi järjestelmälle asetettuja vaatimuksia ja kuvataan sen toiminnot, liiketoimintaluokkamalli, käyttöliittymä ja tulosteet. Lisäksi siinä otetaan kantaa järjestelmän käyttöympäristöön, ulkoisiin tietokantaliittymiin, käyttäjän tunnistautumiseen ja tietoturvallisuuteen sekä käydään läpi sen toiminta käyttäjien näkökulmasta. Toiminnallisen määrittelydokumentin pohjalta luotiin tekninen määrittelydokumentti. Siinä kuvataan järjestelmän ympäristö ja ohjelmisto- sekä tietokanta-arkkitehtuuri yleisellä tasolla. Tämän lisäksi järjestelmän arkkitehtuuria käydään myös tarkemmin läpi sekä kuvataan moduulit ja toiminnot niin tarkasti, että niiden perusteella voidaan toteuttaa koko järjestelmä. Työn tuloksena syntyivät kattava toiminnallinen ja tekninen määrittelydokumentaatio, joissa käydään läpi kaikki järjestelmän toteuttamiseen tarvittavat elementit sillä tarkkuudella, että järjestelmän toteuttaminen voidaan aloittaa.

Software CMAP TOOLS® para a construção de mapas conceituais: a avaliação dos estudantes de enfermagem

O mapeamento conceitual (MC) é uma estratégia de ensino que pode ser utilizada para resoluções de casos clínicos, porém de trabalhosa execução manuscrita. O estudo teve por objetivos descrever os desafios e as contribuições do software Cmap Tools® para a construção de mapas conceituais para resolução de caso clínico. Para isso, utilizou-se método descritivo, qualitativo, com estudantes da 3ª série de Graduação em Enfermagem da Universidade Federal de São Paulo. A estratégia de ensino foi aplicada e os dados foram coletados pela técnica do grupo focal. Os resultados evidenciaram que o software facilita e garante a organização, visualização e correlação dos dados, porém com dificuldades iniciais relacionadas ao manejo das ferramentas que dispõe. Concluiu-se que o software Cmap Tools® favoreceu a construção dos MC por seus recursos de formatação e autoformatação e que estratégias de orientação deveriam ser implantadas para a fase inicial de utilização.

Apprima't

Proyecto final de carrera sobre el desarrollo de una aplicación móvil para plataformas Android, conteniendo fragmentos, actividades y manejos de bases de datos.Se utiliza también el API de Google Maps para mostrar la posición del usuario y puntos precargados desde la base de datos.

Meta-analysis of gene-level associations for rare variants based on single-variant statistics.

Meta-analysis of genome-wide association studies (GWASs) has led to the discoveries of many common variants associated with complex human diseases. There is a growing recognition that identifying "causal" rare variants also requires large-scale meta-analysis. The fact that association tests with rare variants are performed at the gene level rather than at the variant level poses unprecedented challenges in the meta-analysis. First, different studies may adopt different gene-level tests, so the results are not compatible. Second, gene-level tests require multivariate statistics (i.e., components of the test statistic and their covariance matrix), which are difficult to obtain. To overcome these challenges, we propose to perform gene-level tests for rare variants by combining the results of single-variant analysis (i.e., p values of association tests and effect estimates) from participating studies. This simple strategy is possible because of an insight that multivariate statistics can be recovered from single-variant statistics, together with the correlation matrix of the single-variant test statistics, which can be estimated from one of the participating studies or from a publicly available database. We show both theoretically and numerically that the proposed meta-analysis approach provides accurate control of the type I error and is as powerful as joint analysis of individual participant data. This approach accommodates any disease phenotype and any study design and produces all commonly used gene-level tests. An application to the GWAS summary results of the Genetic Investigation of ANthropometric Traits (GIANT) consortium reveals rare and low-frequency variants associated with human height. The relevant software is freely available.

The Alps Vegetation Database - a geo-referenced community-level archive of all terrestrial plants occurring in the Alps.

Mountain ranges are biodiversity hotspots worldwide and provide refuge to many organisms under contemporary climate change. Gathering field information on mountain biodiversity over time is of primary importance to understand the response of biotic communities to climate changes. For plants, several long-term observation sites and networks of mountain biodiversity are emerging worldwide to gather field data and monitor altitudinal range shifts and community composition changes under contemporary climate change. Most of these monitoring sites, however, focus on alpine ecosystems and mountain summits, such as the global observation research initiative in alpine environments (GLORIA). Here we describe the Alps Vegetation Database, a comprehensive community level archive (GIVD ID EU-00-014) which aims at compiling all available geo-referenced vegetation plots from lowland forests to alpine grasslands across the greatest mountain range in Europe: the Alps. This research initiative was funded between 2008 and 2011 by the Danish Council for Independent Research and was part of a larger project to compare cross-scale plant community structure between the Alps and the Scandes. The Alps Vegetation Database currently harbours 35,731 geo-referenced vegetation plots and 5,023 valid taxa across Mediterranean, temperate and alpine environments. The data are mainly used by the main contributors of the Alps Vegetation Database in an ecoinformatics approach to test hypotheses related to plant macroecology and biogeography, but external proposals for joint collaborations are welcome.

Biana: a software framework for compiling biological interactions and analyzing networks

Background: The analysis and usage of biological data is hindered by the spread of information across multiple repositories and the difficulties posed by different nomenclature systems and storage formats. In particular, there is an important need for data unification in the study and use of protein-protein interactions. Without good integration strategies, it is difficult to analyze the whole set of available data and its properties.Results: We introduce BIANA (Biologic Interactions and Network Analysis), a tool for biological information integration and network management. BIANA is a Python framework designed to achieve two major goals: i) the integration of multiple sources of biological information, including biological entities and their relationships, and ii) the management of biological information as a network where entities are nodes and relationships are edges. Moreover, BIANA uses properties of proteins and genes to infer latent biomolecular relationships by transferring edges to entities sharing similar properties. BIANA is also provided as a plugin for Cytoscape, which allows users to visualize and interactively manage the data. A web interface to BIANA providing basic functionalities is also available. The software can be downloaded under GNU GPL license from http://sbi.imim.es/web/BIANA.php.Conclusions: BIANA's approach to data unification solves many of the nomenclature issues common to systems dealing with biological data. BIANA can easily be extended to handle new specific data repositories and new specific data types. The unification protocol allows BIANA to be a flexible tool suitable for different user requirements: non-expert users can use a suggested unification protocol while expert users can define their own specific unification rules.

Análise de riscos e dificuldades no desenvolvimento de software

O trabalho que ora apresentamos tem como tema “ O Ensino da Expressão e Educação Físico-Motora nas Escolas do Ensino Básico de São Lourenço dos Órgãos – Pós – Reforma.” O mesmo tem como horizonte temporal o ano lectivo 2006/07 e abarca as Escolas Básicas do novel Município de São Lourenço dos Órgãos. O ensino da Expressão e Educação Físico – Motora (E.E.F.M.) reveste-se de enorme importância e, nos últimos anos, tem-se emprestado muita atenção a esta área, quer seja a nível planetário, quer seja a nível nacional. Hoje, muitos estudiosos preocupam-se com o ensino desta área e, em consequência procuram fazer algo que permita a promoção da mesma e seja vista como as outras ditas académicas, isto porque todos estão cientes da sua importância e pertinência dentro do sistema escolar. Diante de tudo o que já foi dito e na possibilidade de poder dar um contributo a bem da educação no nosso pais, em geral, e no Município de São Lourenço dos Órgãos, em particular, pretendemos compreender, entretanto, porque é que muitos professores não leccionam ou raras vezes leccionam a área da Expressão e Educação Físico – Motora.

MyHits: improvements to an interactive resource for analyzing protein sequences.

The MyHits web site (http://myhits.isb-sib.ch) is an integrated service dedicated to the analysis of protein sequences. Since its first description in 2004, both the user interface and the back end of the server were improved. A number of tools (e.g. MAFFT, Jacop, Dotlet, Jalview, ESTScan) were added or updated to improve the usability of the service. The MySQL schema and its associated API were revamped and the database engine (HitKeeper) was separated from the web interface. This paper summarizes the current status of the server, with an emphasis on the new services.

Improving the sensitivity of the sequence profile method.

The sequence profile method (Gribskov M, McLachlan AD, Eisenberg D, 1987, Proc Natl Acad Sci USA 84:4355-4358) is a powerful tool to detect distant relationships between amino acid sequences. A profile is a table of position-specific scores and gap penalties, providing a generalized description of a protein motif, which can be used for sequence alignments and database searches instead of an individual sequence. A sequence profile is derived from a multiple sequence alignment. We have found 2 ways to improve the sensitivity of sequence profiles: (1) Sequence weights: Usage of individual weights for each sequence avoids bias toward closely related sequences. These weights are automatically assigned based on the distance of the sequences using a published procedure (Sibbald PR, Argos P, 1990, J Mol Biol 216:813-818). (2) Amino acid substitution table: In addition to the alignment, the construction of a profile also needs an amino acid substitution table. We have found that in some cases a new table, the BLOSUM45 table (Henikoff S, Henikoff JG, 1992, Proc Natl Acad Sci USA 89:10915-10919), is more sensitive than the original Dayhoff table or the modified Dayhoff table used in the current implementation. Profiles derived by the improved method are more sensitive and selective in a number of cases where previous methods have failed to completely separate true members from false positives.

HTPSELEX--a database of high-throughput SELEX libraries for transcription factor binding sites.

HTPSELEX is a public database providing access to primary and derived data from high-throughput SELEX experiments aimed at characterizing the binding specificity of transcription factors. The resource is primarily intended to serve computational biologists interested in building models of transcription factor binding sites from large sets of binding sequences. The guiding principle is to make available all information that is relevant for this purpose. For each experiment, we try to provide accurate information about the protein material used, details of the wet lab protocol, an archive of sequencing trace files, assembled clone sequences (concatemers) and complete sets of in vitro selected protein-binding tags. In addition, we offer in-house derived binding sites models. HTPSELEX also offers reasonably large SELEX libraries obtained with conventional low-throughput protocols. The FTP site contains the trace archives and database flatfiles. The web server offers user-friendly interfaces for viewing individual entries and quality-controlled download of SELEX sequence libraries according to a user-defined sequencing quality threshold. HTPSELEX is available from ftp://ftp.isrec.isb-sib.ch/pub/databases/htpselex/ and http://www.isrec.isb-sib.ch/htpselex.

The Microbe browser for comparative genomics.

The Microbe browser is a web server providing comparative microbial genomics data. It offers comprehensive, integrated data from GenBank, RefSeq, UniProt, InterPro, Gene Ontology and the Orthologs Matrix Project (OMA) database, displayed along with gene predictions from five software packages. The Microbe browser is daily updated from the source databases and includes all completely sequenced bacterial and archaeal genomes. The data are displayed in an easy-to-use, interactive website based on Ensembl software. The Microbe browser is available at http://microbe.vital-it.ch/. Programmatic access is available through the OMA application programming interface (API) at http://microbe.vital-it.ch/api.

Recent misconceptions about the "database search problem": a probabilistic analysis using Bayesian networks

This paper analyses and discusses arguments that emerge from a recent discussion about the proper assessment of the evidential value of correspondences observed between the characteristics of a crime stain and those of a sample from a suspect when (i) this latter individual is found as a result of a database search and (ii) remaining database members are excluded as potential sources (because of different analytical characteristics). Using a graphical probability approach (i.e., Bayesian networks), the paper here intends to clarify that there is no need to (i) introduce a correction factor equal to the size of the searched database (i.e., to reduce a likelihood ratio), nor to (ii) adopt a propositional level not directly related to the suspect matching the crime stain (i.e., a proposition of the kind 'some person in (outside) the database is the source of the crime stain' rather than 'the suspect (some other person) is the source of the crime stain'). The present research thus confirms existing literature on the topic that has repeatedly demonstrated that the latter two requirements (i) and (ii) should not be a cause of concern.