Data-driven clustering : new methods and applications

Abstract : This work is concerned with the development and application of novel unsupervised learning methods, having in mind two target applications: the analysis of forensic case data and the classification of remote sensing images. First, a method based on a symbolic optimization of the inter-sample distance measure is proposed to improve the flexibility of spectral clustering algorithms, and applied to the problem of forensic case data. This distance is optimized using a loss function related to the preservation of neighborhood structure between the input space and the space of principal components, and solutions are found using genetic programming. Results are compared to a variety of state-of--the-art clustering algorithms. Subsequently, a new large-scale clustering method based on a joint optimization of feature extraction and classification is proposed and applied to various databases, including two hyperspectral remote sensing images. The algorithm makes uses of a functional model (e.g., a neural network) for clustering which is trained by stochastic gradient descent. Results indicate that such a technique can easily scale to huge databases, can avoid the so-called out-of-sample problem, and can compete with or even outperform existing clustering algorithms on both artificial data and real remote sensing images. This is verified on small databases as well as very large problems. Résumé : Ce travail de recherche porte sur le développement et l'application de méthodes d'apprentissage dites non supervisées. Les applications visées par ces méthodes sont l'analyse de données forensiques et la classification d'images hyperspectrales en télédétection. Dans un premier temps, une méthodologie de classification non supervisée fondée sur l'optimisation symbolique d'une mesure de distance inter-échantillons est proposée. Cette mesure est obtenue en optimisant une fonction de coût reliée à la préservation de la structure de voisinage d'un point entre l'espace des variables initiales et l'espace des composantes principales. Cette méthode est appliquée à l'analyse de données forensiques et comparée à un éventail de méthodes déjà existantes. En second lieu, une méthode fondée sur une optimisation conjointe des tâches de sélection de variables et de classification est implémentée dans un réseau de neurones et appliquée à diverses bases de données, dont deux images hyperspectrales. Le réseau de neurones est entraîné à l'aide d'un algorithme de gradient stochastique, ce qui rend cette technique applicable à des images de très haute résolution. Les résultats de l'application de cette dernière montrent que l'utilisation d'une telle technique permet de classifier de très grandes bases de données sans difficulté et donne des résultats avantageusement comparables aux méthodes existantes.

Piercing among adolescents: body art as risk marker.

PURPOSE: To ascertain the prevalence of piercing among a nationally representative sample of adolescents; to assess whether having a piercing is a marker for risk behaviors; and to determine whether having more than one piercing is a cumulative marker for risk behaviors. METHODS: Data were drawn from a cross-sectional survey of a nationally representative sample of adolescents aged 16 to 20 years (N=7548). Controlling for background variables, pierced and non-pierced youth were compared on risk behaviors related to drug use, sexual behavior, and suicide. In a second step, adolescents having one piercing were compared with those having more than one. In both cases, statistically significant variables in the bivariate analysis were included in a logistic regression. Analyses were conducted separately by gender. RESULTS: Overall, 20.2% of our sample had a piercing (excluding earlobes), and it was significantly more prevalent among females than among males (33.8% vs. 7.4%; P<.001). In the bivariate analysis, all risk behaviors were significantly associated with having a piercing, and most of them remained significant in the multivariate analysis. One third of pierced subjects had more than one piercing, with no gender difference in prevalence. In the multivariate analysis, females with more than one piercing were more likely to have had multiple partners and to use cannabis, while no differences were noted for males. CONCLUSIONS: Body piercing is becoming popular among Swiss adolescents, especially females. Having a body piercing seems to be a risk marker for risk behaviors. Moreover, having multiple piercings is a cumulative risk marker for females.

Transvaginal specimen extraction in colorectal surgery: current state of the art.

Aim  Background The expected benefit of transvaginal specimen extraction is reduced incision-related morbidity. Objectives A systematic review of transvaginal specimen extraction in colorectal surgery was carried out to assess this expectation. Method  Search strategy The following keywords, in various combinations, were searched: NOSE (natural orifices specimen extraction), colorectal, colon surgery, transvaginal, right hemicolectomy, left hemicolectomy, low anterior resection, sigmoidectomy, ileocaecal resection, proctocolectomy, colon cancer, sigmoid diverticulitis and inflammatory bowel diseases. Selection criteria Selection criteria included large bowel resection with transvaginal specimen extraction, laparoscopic approach, human studies and English language. Exclusion criteria were experimental studies and laparotomic approach or local excision. All articles published up to February 2011 were included. Results  Twenty-three articles (including a total of 130 patients) fulfilled the search criteria. The primary diagnosis was colorectal cancer in 51% (67) of patients, endometriosis in 46% (60) of patients and other conditions in the remaining patients. A concurrent gynaecological procedure was performed in 17% (22) of patients. One case of conversion to laparotomy was reported. In two patients, transvaginal extraction failed. In left- and right-sided resections, the rate of severe complications was 3.7% and 2%, respectively. Two significant complications, one of pelvic seroma and one of rectovaginal fistula, were likely to have been related to transvaginal extraction. The degree of follow up was specified in only one study. Harvested nodes and negative margins were adequate and reported in 70% of oncological cases. Conclusion  Vaginal extraction of a colorectal surgery specimen shows potential benefit, particularly when associated with a gynaecological procedure. Data from prospective randomized trials are needed to support the routine use of this technique.

Antiretroviral therapy during pregnancy and premature birth: analysis of Swiss data.

BACKGROUND: There is an ongoing debate as to whether combined antiretroviral treatment (cART) during pregnancy is an independent risk factor for prematurity in HIV-1-infected women. OBJECTIVE: The aim of the study was to examine (1) crude effects of different ART regimens on prematurity, (2) the association between duration of cART and duration of pregnancy, and (3) the role of possibly confounding risk factors for prematurity. METHOD: We analysed data from 1180 pregnancies prospectively collected by the Swiss Mother and Child HIV Cohort Study (MoCHiV) and the Swiss HIV Cohort Study (SHCS). RESULTS: Odds ratios for prematurity in women receiving mono/dual therapy and cART were 1.8 [95% confidence interval (CI) 0.85-3.6] and 2.5 (95% CI 1.4-4.3) compared with women not receiving ART during pregnancy (P=0.004). In a subgroup of 365 pregnancies with comprehensive information on maternal clinical, demographic and lifestyle characteristics, there was no indication that maternal viral load, age, ethnicity or history of injecting drug use affected prematurity rates associated with the use of cART. Duration of cART before delivery was also not associated with duration of pregnancy. CONCLUSION: Our study indicates that confounding by maternal risk factors or duration of cART exposure is not a likely explanation for the effects of ART on prematurity in HIV-1-infected women.

GSVA: gene set variation analysis for microarray and RNA-seq data

Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary. The strengths of this approach over single gene analysis include noise and dimension reduction, as well as greater biological interpretability. As molecular profiling experiments move beyond simple case-control studies, robust and flexible GSE methodologies are needed that can model pathway activity within highly heterogeneous data sets. To address this challenge, we introduce Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity over a sample population in an unsupervised manner. We demonstrate the robustness of GSVA in a comparison with current state of the art sample-wise enrichment methods. Further, we provide examples of its utility in differential pathway activity and survival analysis. Lastly, we show how GSVA works analogously with data from both microarray and RNA-seq experiments. GSVA provides increased power to detect subtle pathway activity changes over a sample population in comparison to corresponding methods. While GSE methods are generally regarded as end points of a bioinformatic analysis, GSVA constitutes a starting point to build pathway-centric models of biology. Moreover, GSVA contributes to the current need of GSE methods for RNA-seq data. GSVA is an open source software package for R which forms part of the Bioconductor project and can be downloaded at http://www.bioconductor.org.

Machine learning for spatial environmental data. Theory, applications and software

The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.

Gallery districts of Barcelona: the strategic play of art dealers

This article focuses on Barcelona"s art market to explore the underlying factors behind the clustering of art dealers in several of the city"s districts. Drawing upon quantitative and qualitative data, the article analyses how such clustering reveals a strategic action in the sense attributed to it by Crozier and Friedberg (1981). Gallery districts are not a reflection of structural factors (economic, urban development-related or social) but the result of a combination of strategic choices either individual or collective which explain the permanence of leading gallery districts or the emergence of new ones.

Sensitivity analysis, dominant factors, and robustness of the ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5 occupational exposure models

Occupational exposure modeling is widely used in the context of the E.U. regulation on the registration, evaluation, authorization, and restriction of chemicals (REACH). First tier tools, such as European Centre for Ecotoxicology and TOxicology of Chemicals (ECETOC) targeted risk assessment (TRA) or Stoffenmanager, are used to screen a wide range of substances. Those of concern are investigated further using second tier tools, e.g., Advanced REACH Tool (ART). Local sensitivity analysis (SA) methods are used here to determine dominant factors for three models commonly used within the REACH framework: ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5. Based on the results of the SA, the robustness of the models is assessed. For ECETOC, the process category (PROC) is the most important factor. A failure to identify the correct PROC has severe consequences for the exposure estimate. Stoffenmanager is the most balanced model and decision making uncertainties in one modifying factor are less severe in Stoffenmanager. ART requires a careful evaluation of the decisions in the source compartment since it constitutes ∼75% of the total exposure range, which corresponds to an exposure estimate of 20-22 orders of magnitude. Our results indicate that there is a trade off between accuracy and precision of the models. Previous studies suggested that ART may lead to more accurate results in well-documented exposure situations. However, the choice of the adequate model should ultimately be determined by the quality of the available exposure data: if the practitioner is uncertain concerning two or more decisions in the entry parameters, Stoffenmanager may be more robust than ART.

Understanding Flood Regime Changes in Europe: a state-of-the-art assessment

There is growing concern that flooding is becoming more frequent and severe in Europe. A better understanding of flood regime changes and their drivers is therefore needed. The paper reviews the current knowledge on flood regime changes in European rivers that has traditionally been obtained through two alternative research approaches. The first approach is the data-based detection of changes in observed flood events. Current methods are reviewed together with their challenges and opportunities. For example, observation biases, the merging of different data sources and accounting for nonlinear drivers and responses. The second approach consists of modelled scenarios of future floods. Challenges and opportunities associated with flood change scenarios are discussed such as fully accounting for uncertainties in the modelling cascade and feedbacks. To make progress in flood change research, we suggest that a synthesis of these two approaches is needed. This can be achieved by focusing on long duration records and flood-rich and flood-poor periods rather than on short duration flood trends only, by formally attributing causes of observed flood changes, by validating scenarios against observed flood regime dynamics, and by developing low-dimensional models of flood changes and feedbacks. The paper finishes with a call for a joint European flood change research network.

Gp120/CD4 blocking antibodies are frequently elicited in ART-naïve chronically HIV-1 infected individuals

Antibodies with the ability to block the interaction of HIV-1 envelope glycoprotein (Env) gp120 with CD4, including those overlapping the CD4 binding site (CD4bs antibodies), can protect from infection by HIV-1, and their elicitation may be an interesting goal for any vaccination strategy. To identify gp120/CD4 blocking antibodies in plasma samples from HIV-1 infected individuals we have developed a competitive flow cytometry-based functional assay. In a cohort of treatment-naïve chronically infected patients, we showed that gp120/ CD4 blocking antibodies were frequently elicited (detected in 97% plasma samples) and correlated with binding to trimeric HIV-1 envelope glycoproteins. However, no correlation was observed between functional CD4 binding blockade data and titer of CD4bs antibodies determined by ELISA using resurfaced gp120 proteins. Consistently, plasma samples lacking CD4bs antibodies were able to block the interaction between gp120 and its receptor, indicating that antibodies recognizing other epitopes, such as PGT126 and PG16, can also play the same role. Antibodies blocking CD4 binding increased over time and correlated positively with the capacity of plasma samples to neutralize the laboratory-adapted NL4.3 and BaL virus isolates, suggesting their potential contribution to the neutralizing workforce of plasma in vivo. Determining whether this response can be boosted to achieve broadly neutralizing antibodies may provide valuable information for the design of new strategies aimed to improve the anti-HIV-1 humoral response and to develop a successful HIV- 1 vaccine.

Den etiske akten : den caritative etikken når pasientens fordringer er av eksistensiell art

The purpose of this thesis is to develop a theory model about some core concepts and phenomena within caritative ethics when patients' demands are existential. There are two research questions, (A) Which realities represent concepts such courage, responsibility, and sacrifice within the caritative ethics. (B) Which phenomena of ethical significance are made current and applicable when patients¿ demands are existential. This study takes as its point of departurecertain chosen theoretical perspectives that discuss some perspectives of the concepts of courage, responsibility, and sacrifice in terms of their significanceto the research questions A. This represents the study¿s theoretical data. The empirical data provide answers to the research question B. In the end, the thesis discusses synthesis of these two accesses of knowledge in order to formulate theses and create a theory model. Løgstrup's contribution and description of the ethical claim helps in understanding and interpreting the links between the substance of the caritative ethic and the concrete reality in the encounter with existential issues. This thesis is a study within the field of Caring Science. The nursing profession provides empirical data and reflects the study topic, by addressing issues of relevance to the application of the knowledge of Caring Sciencein light of the nursing profession's various daily challenges. This study proceeds from the basic assumption: "Caring relationships form the meaningful contextfor caring and derive from the ethos of love, responsibility, and sacrifice, i.e. a caritative ethics" (Eriksson 2001). This study attempts to explore and prove this statement in the light of theoretical and empirical data, in the light ofthe caring scientific perspective which is here linked particularly to the viewof man as a unity of body, mind, and soul, and to the ontological health model. Hermeneutics is the overall perspective for the interpretations proposed in this thesis. Through conversation and hermeneutic observations, I try to understandthe challenges of nursing performance in the encounter with existential issues. This constitutes the empirical data that was gathered on a ward treating cancerpatients. The discussion proceeds sequence by sequence, first by discussing theconditions of the caritative ethics when meeting the existential claims in the light of the concepts of courage, sacrifice, and responsibility. Then a thesis is formulated concerning the caritative ethics in the light of Caring Science. This is the foundation of the creation of the theory model. The resulting theses concern the chosen concepts and phenomena which promote caritative ethics when patients' claims are existential: Freedom is the hallmark of caritative ethics. Freedom is the basic category of caring. When attending to the patient's existential claims, it is of vital importance to secure human relationships as caring interpersonal communions, created by responsible persons who have shown courage and sacrifice. Courage and sacrifice constitute the ethos of caring communities (communions). Courage and sacrifice are then a part of the collective ethos of caring communities, because the patient is confirmed as the unity of body, mind, and soul.

Recording and reproducing Soundscapes : using and interpreting data in a creative way

http://elo.aalto.fi/fi/studies/elomedia/dataseminar/

RADAR Roadmap: The application of EPrints for the continued development of RADAR at The Glasgow School of Art

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Visual Arts Data Skills for Researchers (VADS4R)

Workshop at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Data Management [in eprints] for arts research: the experience at University of the Arts London

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014