Käsityöläisyyden kuva kultasepän ammatissa : Käsityöläisyys Suomen Kultaseppien Liiton lehdessä 1990-luvun lopussa

The aim of this study is to survey the meaning of craftmanship in goldsmith occupation. The image of craftmanship is built theoretically as well as researcher's own practical experience. The study describes a dialogue between self-employed goldsmith s everyday work and trade union's opinion. Suomen Kultaseppien Liitto (The Goldsmith Assosiation of Finland) was chosen forthe trade union, because it is the biggest, the oldest and the most influential on the occupational area. The research data are volumes 1995 - 1998 of occupational membership journal of Suomen Kultaseppien Liitto. The data analyzed with Adapted Content Analysis and Grounded Theory. The professional occupation of goldsmiths, the role of craftmanship and the future of the occupation are discussed. Additionally, the relationship between the Suomen Kultaseppien Liitto and occupational culture and profession of goldsmiths was studied. Craft and craftmanship is most often discussed in articles related to tradition and education.Craftmanship is understood very idealistically, with little meaning in practical life. St. Eligius and the skill and art of goldsmiths in St Petersburg are raised to symbols of craftmanship. The occupational image is broken and a clear conflict between education and occupation is visible. Education produces artist-craftsmen, while handicraft workers are required in industry, and retailers or specially trained store assistant in business. Computer-aided design and manufacture render handicraft workmanship unnecessary. In a pessimistic view, the future possibilities of the goldsmith occupational profession are dim, because the artist-craftsmen are bound to lose to fast-paced machines. On the other hand, people involved in goldsmith education see the future light, designer-goldsmiths developing the occupational to new dimensions. Suomen Kultaseppien Liitto represents goldsmiths in public. The union, however is governed by non-artisan goldsmiths. The union stresses business attitudes and enterpreneurship, and has succeeded in protecting the privileges of retailers and industry. Goldsmiths profession is seen in the research data as a combination of precious-metal industry, jewellery and watch stores, anda goldsmith shop is considered a specialized giftstore. The goldsmiths occupation is not a profession, and the Suomen Kultaseppien Liitto is not a trade union for artist and craftmen. Accordingly, part of the representative authority of the union could be transferred from the Association to Taidekäsityöläiset Taiko ry, a member of organization of Ornamo. Results of this study show the importance of defining the images of the goldsmith occupational profession and the trade union. The results could be applied to goldsmith education to examine what would be the optimal education and training for present employment opportunities. The important background theories has been the theories of Habermas and Lévi-Strauss.

"Haluan tuonne heti!" : Tulevaisuuskuvia ghanalaisten, isobritannialaisten,suomalaisten ja tansanialaisten lasten piirustuksissa

"I want there now!" Images of the future in the drawings of Ghanaian, British, Finnish and Tanzanian children The aim of the Thesis is to examine what kind of images children aged between 8 and 12 years in Ghana, Great Britain, Finland and Tanzania hold of their future. The study is a qualitative analysis based on data that consists of 214 drawings, digitally photographed and analysed using AtlasTI computer program. The data was coded and divided into " families " whose frequencies were compared in order to maintain results. The assignment was given to the children in the language used in the school and it was similar in each country. The children were introduced to the idea with a set of stimulating questions and after that they were asked to draw and colour with a pen a picture of 1) him/herself as an adult, 2) his/her future home and 3) the people and the animals they think they will be living with. The children were also asked to write down the country and the place they believe to live in their future. They were also encouraged to write down e.g. their dream profession, what they would like to have as hobbies in their adulthood and other important things in their lives. The analysis focuses on the content of the drawings instead of artistic or psychological interpretations. The differences between the drawings from different countries as well as the differences in a single country were significant. The current trends and the experiences children had lived through were present in the drawings. There were no differences in the colour of the skin and the most popular professions were doctor, police and football player. The football was very strongly present in all of the data; almost fourth of the children had either drawn or mentioned football as their future profession or hobby. Different flora was present in 84% of Tanzanian and 70% of Ghanaian drawings compared to the 23% of British and 17% of Finnish drawings. Of all the family forms a dream of the traditional nuclear family could be found among 29% of the drawings. Compared to that a total of 30% wanted either a child of their own without a spouse (15%) or a spouse without a child (15%). Also grandparents, childhood friends, other adults, animals or even space aliens were present and sharing a home with the children in the drawings. Of all children 15% wanted to live totally alone in the future. This was most typical (38%) among the Finnish boys. The cat and the dog were the most popular animals to appear in the drawings. Moving abroad proved to be purely a western phenomenon, dreamed by 57% of the British and 18% of the Finnish children. As results, a negative self-image, violence, lack of expressions of positive feelings and solitude among the Finnish boys in the data were very concerning. Keywords: Images of the future, future studies, future-education, picture analysis

Näppärien mummojen muistelukirjonta - yhteisöllistä ja voimauttavaa käsityöilmaisua

The aim of the study was to get acquainted with the activity of Näppärät Mummot, a Lahti-based crafts society, and its importance to the wellness of the members of the group. The selected aim, i.e., analyzing the wellness, largely affected the whole research process and its results. According to earlier studies in the field, different forms of craft and expressional activity promote one's wellness as well as support the work for one's identity. Based on my theoretical knowledge, my research was set out to: 1) form a general view of crafts culture within Näppärät Mummot and 2) find out how recollective craft that promotes wellness is perceived through communality, experiential activity, work for one's identity, and divided as well as undivided craft. Qualitative field work was governed by ethnographic research strategy, according to which I set out to get thoroughly familiar with the society I was studying. The methods I used to collect data were participant observation and thematic interview. I used a field diary for writing down all data I acquired through the observation. The interviewee group was formed by seven members of Näppärät Mummot. An mp3 recorder was used to record the interviews, which I transcribed later. The method for data analysis was qualitative content analysis, for which I used Weft QDA, a qualitative analysis software application. I formed themes that shed light on research tasks from the data using coding and theory-driven analysis. I kept literature and data I collected in cooperation through the whole analysis process. Lastly, drawing from the classes of meaning of therapeutic craft that I sketched by means of summarizing and classifying, I presented the central concepts that describe the main results of the study. The main results were six concepts that describe Näppärät Mummot's crafts culture and recollective craft with its wellness-beneficial effect: 1) autobiographical craft, 2) shared work for one's identity, 3) shared intention for craft, 4) craft as a partner, 5) individual manner of craft, and 6) shared improvement. Craft promoted wellness in many ways. It was used to promote inner life management in difficult times and it also provided sensations of empowerment through pleasure from craft. Expressional, shared craft also served as means of reinforcing one's identity in various ways. Expressional work for one's identity through autobiographical themes of craft represented rearranging one's life through holistic craft. A personal way of doing things also served as expressional action and work for one's identity even with divided craft. Shared work for identities meant reinforcing the identities of the members through discources of craft and interaction with their close ones. What proves the interconnection between communality and craft as well as their shared meaning is that communality motivated the members to work on their craft projects, while craft served as the means of communication between the members: communication through craft was easier than lingual communication. The results can not be generalized to apply to other groups: they are used to describe the versatile means of recollective craft to promote the well-being among the crafts society Näppärät Mummot. However, the results do introduce a new perspective to the social discussion on how cultural activities promote well-being.

Losing the rural nursing workforce: Lessons learnt from resigning nurses

Background Australian workforce planning predicts a shortfall of nurses by 2025 with rural areas being most at risk. Rural areas have lower retention rates of nurses than metropolitan areas, with remote communities experiencing an even higher turnover of nursing staff. There have been few studies that examine the impact of nurse resignations on rural nursing workforces. Objective This paper is abstracted from a larger study into the reasons why nurses resign from rural hospitals and explores the resignation period. Design A qualitative study using grounded theory methods. Following in-depth interviewing and transcription, data analysis occurred with the assistance of NVivo software. Setting Rural NSW. Participants Twelve registered nurses who had resigned from rural NSW hospitals and not for reasons of retirement, maternity leave or relocation; two participants were re-interviewed. Results While the overall study identified a grounded theory which explained rural nurses resign from hospitals due to a conflict of values, three additional themes emerged about the resignation practices at rural hospitals. The first theme identified a ‘window period’ which was an opportunity for the nurse to be retained. The second theme identified that nurses who had resigned were not involved in formal exit processes such as exit interviews. The third theme captured the flow-on effect from rural nurse resignations resulting in nurses leaving the profession of nursing. Conclusion To facilitate nurse retention, it is important that rural hospitals manage nurse resignations more effectively. This includes re-examining resignation procedures, how nurses are treated and collecting meaningful data to inform retention strategies.

ssSNPer: identifying statistically similar SNPs to aid interpretation of genetic association studies

ssSNPer is a novel user-friendly web interface that provides easy determination of the number and location of untested HapMap SNPs, in the region surrounding a tested HapMap SNP, which are statistically similar and would thus produce comparable and perhaps more significant association results. Identification of ssSNPs can have crucial implications for the interpretation of the initial association results and the design of follow-up studies. AVAILABILITY: http://fraser.qimr.edu.au/general/daleN/ssSNPer/

Consumers and the conceptual and practical appropriation of functional foods

Taking the appropriation of objects as a theoretical starting point, this study makes a distinction between a conceptual and practical level of adopting new objects and products in everyday life. The study applies the concept of appropriation in social food research and examines consumers appropriation of functional foods, i.e., foods developed to improve health and well-being or reduce the risk of disease beyond the usual nutritional effects of foods. The study uses the concept of appropriation to understand the adoption and the process of making functional foods our own . First, the study focuses on the conceptual appropriation by analysing consumers interpretations and opinions on functional foods. Second, it analyses the use of functional foods and examines the role of sociodemographic and food- and health-related background factors in the use of functional foods. Both quantitative and qualitative data were used in the study. Altogether 1210 Finns representative of the population took part in a survey carried out in 2002 as computer-assisted telephone interviews (CATI). The survey examined the acceptability and use of functional foods in Finland. In 2004, eight focus group discussions were organised for 45 users and non-users of cholesterol-lowering spreads. The qualitative study focused on consumers interpretative perspectives on healthy eating and functional foods. The findings are reported in four original articles and a summary article. The results show that the appropriation of functional foods is a multifaceted phenomenon. The conceptual appropriation is related to consumers interpretations of functional foods in the context of healthy foods and healthy eating; their trust in the products, their manufacturers, research and control; and the relationship of functional foods and the ideal of natural foods. The analysis of the practical appropriation of four different types of foods marketed as functional showed that there are sociodemographic differences between users and non-users of the products, but more importantly, the differences are related to consumers food- and health-related views and practices. Consumers ways of appropriating functional foods in the conceptual and practical sense take shape in a complex web of ideas and everyday practices concerning food, health and eating as a whole. The results also indicate that the conceptual and practical appropriation are not necessarily uniform or coherent processes. Consumers interpret healthy eating and functional foods from a variety of perspectives and there is a multiplicity of rationales of using functional foods. Appropriation embraces many opposing dimensions simultaneously: good experiences and doubts, approval and criticism, expectations and things taken for granted.

Computational Techniques for Haplotype Inference and for Local Alignment Significance

This thesis which consists of an introduction and four peer-reviewed original publications studies the problems of haplotype inference (haplotyping) and local alignment significance. The problems studied here belong to the broad area of bioinformatics and computational biology. The presented solutions are computationally fast and accurate, which makes them practical in high-throughput sequence data analysis. Haplotype inference is a computational problem where the goal is to estimate haplotypes from a sample of genotypes as accurately as possible. This problem is important as the direct measurement of haplotypes is difficult, whereas the genotypes are easier to quantify. Haplotypes are the key-players when studying for example the genetic causes of diseases. In this thesis, three methods are presented for the haplotype inference problem referred to as HaploParser, HIT, and BACH. HaploParser is based on a combinatorial mosaic model and hierarchical parsing that together mimic recombinations and point-mutations in a biologically plausible way. In this mosaic model, the current population is assumed to be evolved from a small founder population. Thus, the haplotypes of the current population are recombinations of the (implicit) founder haplotypes with some point--mutations. HIT (Haplotype Inference Technique) uses a hidden Markov model for haplotypes and efficient algorithms are presented to learn this model from genotype data. The model structure of HIT is analogous to the mosaic model of HaploParser with founder haplotypes. Therefore, it can be seen as a probabilistic model of recombinations and point-mutations. BACH (Bayesian Context-based Haplotyping) utilizes a context tree weighting algorithm to efficiently sum over all variable-length Markov chains to evaluate the posterior probability of a haplotype configuration. Algorithms are presented that find haplotype configurations with high posterior probability. BACH is the most accurate method presented in this thesis and has comparable performance to the best available software for haplotype inference. Local alignment significance is a computational problem where one is interested in whether the local similarities in two sequences are due to the fact that the sequences are related or just by chance. Similarity of sequences is measured by their best local alignment score and from that, a p-value is computed. This p-value is the probability of picking two sequences from the null model that have as good or better best local alignment score. Local alignment significance is used routinely for example in homology searches. In this thesis, a general framework is sketched that allows one to compute a tight upper bound for the p-value of a local pairwise alignment score. Unlike the previous methods, the presented framework is not affeced by so-called edge-effects and can handle gaps (deletions and insertions) without troublesome sampling and curve fitting.

Computational Identification of Recessive Mutations in Cancers using High Throughput SNP-arrays

This thesis presents a highly sensitive genome wide search method for recessive mutations. The method is suitable for distantly related samples that are divided into phenotype positives and negatives. High throughput genotype arrays are used to identify and compare homozygous regions between the cohorts. The method is demonstrated by comparing colorectal cancer patients against unaffected references. The objective is to find homozygous regions and alleles that are more common in cancer patients. We have designed and implemented software tools to automate the data analysis from genotypes to lists of candidate genes and to their properties. The programs have been designed in respect to a pipeline architecture that allows their integration to other programs such as biological databases and copy number analysis tools. The integration of the tools is crucial as the genome wide analysis of the cohort differences produces many candidate regions not related to the studied phenotype. CohortComparator is a genotype comparison tool that detects homozygous regions and compares their loci and allele constitutions between two sets of samples. The data is visualised in chromosome specific graphs illustrating the homozygous regions and alleles of each sample. The genomic regions that may harbour recessive mutations are emphasised with different colours and a scoring scheme is given for these regions. The detection of homozygous regions, cohort comparisons and result annotations are all subjected to presumptions many of which have been parameterized in our programs. The effect of these parameters and the suitable scope of the methods have been evaluated. Samples with different resolutions can be balanced with the genotype estimates of their haplotypes and they can be used within the same study.

Statistical methods for analysis of multi-harvest data from perennial pasture variety selection trials

Variety selection in perennial pasture crops involves identifying best varieties from data collected from multiple harvest times in field trials. For accurate selection, the statistical methods for analysing such data need to account for the spatial and temporal correlation typically present. This paper provides an approach for analysing multi-harvest data from variety selection trials in which there may be a large number of harvest times. Methods are presented for modelling the variety by harvest effects while accounting for the spatial and temporal correlation between observations. These methods provide an improvement in model fit compared to separate analyses for each harvest, and provide insight into variety by harvest interactions. The approach is illustrated using two traits from a lucerne variety selection trial. The proposed method provides variety predictions allowing for the natural sources of variation and correlation in multi-harvest data.

Tools for compositional data with a total

Compositional data analysis usually deals with relative information between parts where the total (abundances, mass, amount, etc.) is unknown or uninformative. This article addresses the question of what to do when the total is known and is of interest. Tools used in this case are reviewed and analysed, in particular the relationship between the positive orthant of D-dimensional real space, the product space of the real line times the D-part simplex, and their Euclidean space structures. The first alternative corresponds to data analysis taking logarithms on each component, and the second one to treat a log-transformed total jointly with a composition describing the distribution of component amounts. Real data about total abundances of phytoplankton in an Australian river motivated the present study and are used for illustration.

Complexity of collaborative work in residential aged care facilities: An analysis of information exchange for medication management

Information exchange (IE) is a critical component of the complex collaborative medication process in residential aged care facilities (RACFs). Designing information and communication technology (ICT) to support complex processes requires a profound understanding of the IE that underpins their execution. There is little existing research that investigates the complexity of IE in RACFs and its impact on ICT design. The aim of this study was thus to undertake an in-depth exploration of the IE process involved in medication management to identify its implications for the design of ICT. The study was undertaken at a large metropolitan facility in NSW, Australia. A total of three focus groups, eleven interviews and two observation sessions were conducted between July to August 2010. Process modelling was undertaken by translating the qualitative data via in-depth iterative inductive analysis. The findings highlight the complexity and collaborative nature of IE in RACF medication management. These models emphasize the need to: a) deal with temporal complexity; b) rely on an interdependent set of coordinative artefacts; and c) use synchronous communication channels for coordination. Taken together these are crucial aspects of the IE process in RACF medication management that need to be catered for when designing ICT in this critical area. This study provides important new evidence of the advantages of viewing process as a part of a system rather than as segregated tasks as a means of identifying the latent requirements for ICT design and that is able to support complex collaborative processes like medication management in RACFs. © 2012 IEEE.

Data fusion and matching by maximizing statistical dependencies

The core aim of machine learning is to make a computer program learn from the experience. Learning from data is usually defined as a task of learning regularities or patterns in data in order to extract useful information, or to learn the underlying concept. An important sub-field of machine learning is called multi-view learning where the task is to learn from multiple data sets or views describing the same underlying concept. A typical example of such scenario would be to study a biological concept using several biological measurements like gene expression, protein expression and metabolic profiles, or to classify web pages based on their content and the contents of their hyperlinks. In this thesis, novel problem formulations and methods for multi-view learning are presented. The contributions include a linear data fusion approach during exploratory data analysis, a new measure to evaluate different kinds of representations for textual data, and an extension of multi-view learning for novel scenarios where the correspondence of samples in the different views or data sets is not known in advance. In order to infer the one-to-one correspondence of samples between two views, a novel concept of multi-view matching is proposed. The matching algorithm is completely data-driven and is demonstrated in several applications such as matching of metabolites between humans and mice, and matching of sentences between documents in two languages.

Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks

Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process parameters, supply voltage and temperature can be modeled accurately with ANNs. However, the complex nature of the ANN model, with the standard sigmoidal activation functions, does not allow analytical expressions for its mean and variance. We propose the use of a new activation function that allows us to derive an analytical expression for the mean and a semi-analytical expression for the variance of the ANN-based leakage model. To the best of our knowledge this is the first result in this direction. Our neural network model also includes the voltage and temperature as input parameters, thereby enabling voltage and temperature aware statistical leakage analysis (SLA). All existing SLA frameworks are closely tied to the exponential polynomial leakage model and hence fail to work with sophisticated ANN models. In this paper, we also set up an SLA framework that can efficiently work with these ANN models. Results show that the cumulative distribution function of leakage current of ISCAS'85 circuits can be predicted accurately with the error in mean and standard deviation, compared to Monte Carlo-based simulations, being less than 1% and 2% respectively across a range of voltage and temperature values.

Use of Vertex Index in Structure-Activity Analysis and Design of Molecules

The last few decades have witnessed application of graph theory and topological indices derived from molecular graph in structure-activity analysis. Such applications are based on regression and various multivariate analyses. Most of the topological indices are computed for the whole molecule and used as descriptors for explaining properties/activities of chemical compounds. However, some substructural descriptors in the form of topological distance based vertex indices have been found to be useful in identifying activity related substructures and in predicting pharmacological and toxicological activities of bioactive compounds. Another important aspect of drug discovery e. g. designing novel pharmaceutical candidates could also be done from the distance distribution associated with such vertex indices. In this article, we will review the development and applications of this approach both in activity prediction as well as in designing novel compounds.

Average Overlap for Clustering Incomplete Data using Symmetric Non-Negative Matrix Factorization

Clustering techniques which can handle incomplete data have become increasingly important due to varied applications in marketing research, medical diagnosis and survey data analysis. Existing techniques cope up with missing values either by using data modification/imputation or by partial distance computation, often unreliable depending on the number of features available. In this paper, we propose a novel approach for clustering data with missing values, which performs the task by Symmetric Non-Negative Matrix Factorization (SNMF) of a complete pair-wise similarity matrix, computed from the given incomplete data. To accomplish this, we define a novel similarity measure based on Average Overlap similarity metric which can effectively handle missing values without modification of data. Further, the similarity measure is more reliable than partial distances and inherently possesses the properties required to perform SNMF. The experimental evaluation on real world datasets demonstrates that the proposed approach is efficient, scalable and shows significantly better performance compared to the existing techniques.