63 resultados para industrial networks


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The main purpose of this study was to provide a full account of the Christian social work carried out at the Tampere City Mission (TCM) as well as the Missions sphere of operations from the Second World War to the early 1970s, comprising a period of significant change. The study consists of charting the processes of change and connections within the activities of the TCM and how examining these were linked to the general tendencies of the period, in lay work, social work, professionalization and the representation of gender. The positioning of the activities is described on the basis of these tendencies. The main sources for the study were the archives of the Mission, for example the minutes of meetings, correspondences as well as annual reports, and the archives of its partners, such as the City of Tampere, the Evangelical Lutheran parishes of Tampere and the State Welfare Administration. The archives of the Helsinki, Turku and Stockholm Missions supplied comparison reference and other material. In particular, social welfare and Christian social work technical journals of were used as printed sources. The principal method used was the genetic method of historiology. The research subject was also evaluated from the point of view of third sector research in addition to that of professionalization studies and gender studies. By the beginning of the research period, the TCM had turned more and more dedicatedly into a multipurpose social service organization maintaining social services such as old people s homes and children´s homes. This development continued, even though new areas of activity emerged and older ones fell into disuse. Social innovations sprang up, marriage counseling being one of them. On the national level, the TCM pioneered the provision of sheltered industrial work for intellectually disabled persons as well as housing services for them. As new activities were initiated, they overlapped with the established ones, and the TCM handed some of its child protection functions over to the municipality, in accordance with the current adaptation theory. The use of its own property to produce ever-changing social services may be the reason why the association s work continued on with vitality. Functional networks and political aid in the field of social services also bolstered the association. As in other Nordic countries, nonprofit organizations served as partners rather than competitors, with the State establishing institutional welfare arrangements. In the 1960s the municipal takeover of social services impacted the TCM activities. Rules for government subsidies and municipal allowances were not well established; hence these funds were not easily available, making improvements difficult. The TCM was a community in which women had a relatively strong position and an opportunity to make a difference. Female staff were reasonably equal to men, and women worked as heads of a several institutions. Care work employed a number of men, which went against the traditional segregation of labour between the sexes. The TCM s operations were from early on very professionalized, and were developed with particular care. Keywords: Christian social work, third sector, professionalization, gender

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Chronic periodontitis results from a complex aetiology, including the formation of a subgingival biofilm and the elicitation of the host s immune and inflammatory response. The hallmark of chronic periodontitis is alveolar bone loss and soft periodontal tissue destruction. Evidence supports that periodontitis progresses in dynamic states of exacerbation and remission or quiescence. The major clinical approach to identify disease progression is the tolerance method, based on sequential probing. Collagen degradation is one of the key events in periodontal destructive lesions. Matrix metalloproteinase (MMP)-8 and MMP-13 are the primary collagenolytic MMPs that are associated with the severity of periodontal inflammation and disease, either by a direct breakdown of the collagenised matrix or by the processing of non-matrix bioactive substrates. Despite the numerous host mediators that have been proposed as potential biomarkers for chronic periodontitis, they reflect inflammation rather than the loss of periodontal attachment. The aim of the present study was to determine the key molecular MMP-8 and -13 interactions in gingival crevicular fluid (GCF) and gingival tissue from progressive periodontitis lesions and MMP-8 null allele mouse model. In study (I), GCF and gingival biopsies from active and inactive sites of chronic periodontitis patients, which were determined clinically by the tolerance method, and healthy GCF were analysed for MMP-13 and tissue inhibitor of matrix metalloproteinases (TIMP)-1. Chronic periodontitis was characterised by increased MMP-13 levels and the active sites showed a tendency of decreased TIMP-1 levels associated with increments of MMP-13 and total protein concentration compared to inactive sites. In study (II), we investigated whether MMP-13 activity was associated with TIMP-1, bone collagen breakdown through ICTP levels, as well as the activation rate of MMP-9 in destructive lesions. The active sites demonstrated increased GCF ICTP levels as well as lowered TIMP-1 detection along with elevated MMP-13 activity. MMP-9 activation rate was enhanced by MMP-13 in diseased gingival tissue. In study (III), we analysed the potential association between the levels, molecular forms, isoenzyme distribution and degree of activation of MMP-8, MMP-14, MPO and the inhibitor TIMP-1 in GCF from periodontitis progressive patients at baseline and after periodontal therapy. A positive correlation was found for MPO/MMP-8 and their levels associated with progression episodes and treatment response. Because MMP-8 is activated by hypochlorous acid in vitro, our results suggested an interaction between the MPO oxidative pathway and MMP-8 activation in GCF. Finally, in study (IV), on the basis of the previous finding that MMP-8-deficient mice showed impaired neutrophil responses and severe alveolar bone loss, we aimed to characterise the detection patterns of LIX/CXCL5, SDF-1/CXCL12 and RANKL in P. gingivalis-induced experimental periodontitis and in the MMP-8-/- murine model. The detection of neutrophil-chemoattractant LIX/CXCL5 was restricted to the oral-periodontal interface and its levels were reduced in infected MMP-8 null mice vs. wild type mice, whereas the detection of SDF-1/CXCL12 and RANKL in periodontal tissues increased in experimentally-induced periodontitis, irrespectively from the genotype. Accordingly, MMP-8 might regulate LIX/CXCL5 levels by undetermined mechanisms, and SDF-1/CXCL12 and RANKL might promote the development and/or progression of periodontitis.

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Bayesian networks are compact, flexible, and interpretable representations of a joint distribution. When the network structure is unknown but there are observational data at hand, one can try to learn the network structure. This is called structure discovery. This thesis contributes to two areas of structure discovery in Bayesian networks: space--time tradeoffs and learning ancestor relations. The fastest exact algorithms for structure discovery in Bayesian networks are based on dynamic programming and use excessive amounts of space. Motivated by the space usage, several schemes for trading space against time are presented. These schemes are presented in a general setting for a class of computational problems called permutation problems; structure discovery in Bayesian networks is seen as a challenging variant of the permutation problems. The main contribution in the area of the space--time tradeoffs is the partial order approach, in which the standard dynamic programming algorithm is extended to run over partial orders. In particular, a certain family of partial orders called parallel bucket orders is considered. A partial order scheme that provably yields an optimal space--time tradeoff within parallel bucket orders is presented. Also practical issues concerning parallel bucket orders are discussed. Learning ancestor relations, that is, directed paths between nodes, is motivated by the need for robust summaries of the network structures when there are unobserved nodes at work. Ancestor relations are nonmodular features and hence learning them is more difficult than modular features. A dynamic programming algorithm is presented for computing posterior probabilities of ancestor relations exactly. Empirical tests suggest that ancestor relations can be learned from observational data almost as accurately as arcs even in the presence of unobserved nodes.