998 resultados para new Membership


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OBJECTIVE We aimed to investigate whether the proportion of breastfeeding mothers in first-time parent groups influenced the likelihood of ceasing breastfeeding and whether this was independent of socioeconomic position.
METHODS Data were from 501 mothers (from 62 first-time parent groups initiated ~6 weeks after birth) who provided data at the baseline and mid-intervention assessments of the Melbourne Infant Feeding, Activity, and Nutrition Trial. Parent groups were divided into those in which ≤25% of mothers had ceased breastfeeding by 6 weeks (low-cessation groups) and those in which >25% had ceased by 6 weeks (high-cessation groups).
RESULTS With the exclusion of mothers who had already ceased breastfeeding by 6 weeks, the proportion of mothers who ceased breastfeeding between the time of parent group initiation (6 weeks) and 6 months was higher in high-cessation groups than in low-cessation groups (37.4% vs 21.7%; P = .001). After adjustment for maternal age, BMI, employment, and education and area-level socioeconomic position, membership in a group in which a large proportion of mothers had ceased breastfeeding by 6 weeks was strongly related to cessation of breastfeeding before 6 months (odds ratio: 2.1 [95% confidence interval: 1.3–3.3]).
CONCLUSIONS Attendance at parent groups where peers are breastfeeding infants of a similar age may have an important influence on the continuation of breastfeeding to 6 months. First-time parent groups or other similar groups may be an important setting in which to promote the continuation of breastfeeding.

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Considers the part planned, part accidental ventures in public diplomcy by Australia and New Zealand during the 1950s and 1960s, resulting from membership of the Colombo Plan for aid to South and Southeast Asia.

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A key part of any process of decolonisation is the need for the emerging nation to determine the rules for citizenship. In Papua New Guinea, what it meant to be a citizen was the first topic that the Constitutional Planning Committee considered when it set about its task to develop a ‘home grown’ constitution in late 1972. The process by which it first comprehended this matter and then involved thousands of Papua New Guineans in their villages, missions and schools in a territory-wide exercise in consultation forms the subject of this paper. The records of the discussions that took place between February and April of 1973 reveal much of how the criteria for membership of the national enterprise came to be established. This case study of defining citizenship in PNG demonstrates the intensive consultation of the local peoples on key issues in nation-building and reveals the high degree of Indigenous agency in the decolonisation process.

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Melbourne is the second largest city in Australia with a diverse, multilayered society that reflects its rich musical life. There are many community choirs formed by various cultural and linguistically diverse groups. This paper is part of an ongoing project, well-being and ageing: community, diversity and the arts (since 2008), undertaken by Deakin University and Monash University, that explores the cultural diversity within Australian society and how active music engagement fosters well-being.

The singing groups selected for this discussion are the Skylarkers, the Bosnian Behar Choir, and the Coro Furlan. The Skylarkers and the Bosnian Behar Choir are mixed groups who who respectively perform popular music from their generation and celebrate their culture through music. The Coro Furlan is an Italian male choir who understand themselves as custodians of their heritage.

In these interpretative, qualitative case studies semi-structured interviews were undertaken and analyzed using Interpretative Phenomenological Analysis. In this approach there is an exploration of participants’ understanding of their lived experiences.

The analysis of the combined data identified musical and social benefits that contribute to participants’ sustained well-being. Musical benefits occurred through sharing, learning and singing together. Social benefits included opportunities to build friendships, overcome isolation and gain a sense of validation. Many found that singing enhanced their health and happiness. Active music making in community choirs continues to be an effective way to build community, and cognitive, affective and physical well-being.

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Rather than denoting fuzzy membership with a single value, orthopairs such as Atanassov's intuitionistic membership and non-membership pairs allow the incorporation of uncertainty, as well as positive and negative aspects when providing evaluations in fuzzy decision making problems. Such representations, along with interval-valued fuzzy values and the recently introduced Pythagorean membership grades, present particular challenges when it comes to defining orders and constructing aggregation functions that behave consistently when summarizing evaluations over multiple criteria or experts. In this paper we consider the aggregation of pairwise preferences denoted by membership and non-membership pairs. We look at how mappings from the space of Atanassov orthopairs to more general classes of fuzzy orthopairs can be used to help define averaging aggregation functions in these new settings. In particular, we focus on how the notion of 'averaging' should be treated in the case of Yager's Pythagorean membership grades and how to ensure that such functions produce outputs consistent with the case of ordinary fuzzy membership degrees.

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Segmentation is the process of extraction of objects from an image. This paper proposes a new algorithm to construct intuitionistic fuzzy set (IFS) from multiple fuzzy sets as an application to image segmentation. Hesitation degree in IFS is formulated as the degree of ignorance (due to the lack of knowledge) to determine whether the chosen membership function is best for image segmentation. By minimizing entropy of IFS generated from various fuzzy sets, an image is thresholded. Experimental results are provided to show the effectiveness of the proposed method.

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In the past decade, the advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to enormous progress in the life science. Among the most important innovations is the microarray tecnology. It allows to quantify the expression for thousands of genes simultaneously by measurin the hybridization from a tissue of interest to probes on a small glass or plastic slide. The characteristics of these data include a fair amount of random noise, a predictor dimension in the thousand, and a sample noise in the dozens. One of the most exciting areas to which microarray technology has been applied is the challenge of deciphering complex disease such as cancer. In these studies, samples are taken from two or more groups of individuals with heterogeneous phenotypes, pathologies, or clinical outcomes. these samples are hybridized to microarrays in an effort to find a small number of genes which are strongly correlated with the group of individuals. Eventhough today methods to analyse the data are welle developed and close to reach a standard organization (through the effort of preposed International project like Microarray Gene Expression Data -MGED- Society [1]) it is not unfrequant to stumble in a clinician's question that do not have a compelling statistical method that could permit to answer it.The contribution of this dissertation in deciphering disease regards the development of new approaches aiming at handle open problems posed by clinicians in handle specific experimental designs. In Chapter 1 starting from a biological necessary introduction, we revise the microarray tecnologies and all the important steps that involve an experiment from the production of the array, to the quality controls ending with preprocessing steps that will be used into the data analysis in the rest of the dissertation. While in Chapter 2 a critical review of standard analysis methods are provided stressing most of problems that In Chapter 3 is introduced a method to adress the issue of unbalanced design of miacroarray experiments. In microarray experiments, experimental design is a crucial starting-point for obtaining reasonable results. In a two-class problem, an equal or similar number of samples it should be collected between the two classes. However in some cases, e.g. rare pathologies, the approach to be taken is less evident. We propose to address this issue by applying a modified version of SAM [2]. MultiSAM consists in a reiterated application of a SAM analysis, comparing the less populated class (LPC) with 1,000 random samplings of the same size from the more populated class (MPC) A list of the differentially expressed genes is generated for each SAM application. After 1,000 reiterations, each single probe given a "score" ranging from 0 to 1,000 based on its recurrence in the 1,000 lists as differentially expressed. The performance of MultiSAM was compared to the performance of SAM and LIMMA [3] over two simulated data sets via beta and exponential distribution. The results of all three algorithms over low- noise data sets seems acceptable However, on a real unbalanced two-channel data set reagardin Chronic Lymphocitic Leukemia, LIMMA finds no significant probe, SAM finds 23 significantly changed probes but cannot separate the two classes, while MultiSAM finds 122 probes with score >300 and separates the data into two clusters by hierarchical clustering. We also report extra-assay validation in terms of differentially expressed genes Although standard algorithms perform well over low-noise simulated data sets, multi-SAM seems to be the only one able to reveal subtle differences in gene expression profiles on real unbalanced data. In Chapter 4 a method to adress similarities evaluation in a three-class prblem by means of Relevance Vector Machine [4] is described. In fact, looking at microarray data in a prognostic and diagnostic clinical framework, not only differences could have a crucial role. In some cases similarities can give useful and, sometimes even more, important information. The goal, given three classes, could be to establish, with a certain level of confidence, if the third one is similar to the first or the second one. In this work we show that Relevance Vector Machine (RVM) [2] could be a possible solutions to the limitation of standard supervised classification. In fact, RVM offers many advantages compared, for example, with his well-known precursor (Support Vector Machine - SVM [3]). Among these advantages, the estimate of posterior probability of class membership represents a key feature to address the similarity issue. This is a highly important, but often overlooked, option of any practical pattern recognition system. We focused on Tumor-Grade-three-class problem, so we have 67 samples of grade I (G1), 54 samples of grade 3 (G3) and 100 samples of grade 2 (G2). The goal is to find a model able to separate G1 from G3, then evaluate the third class G2 as test-set to obtain the probability for samples of G2 to be member of class G1 or class G3. The analysis showed that breast cancer samples of grade II have a molecular profile more similar to breast cancer samples of grade I. Looking at the literature this result have been guessed, but no measure of significance was gived before.

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With their accession to the European Union, twelve new countries - Romania among them - (re)entered the international community of international donors. In the history of development aid this can be seen as a unique event: it is for the first time in history that such a large number of countries become international donors, with such short notice and in such a particular context that sees some scholars announcing the ‘death’ of development. But in spite of what might be claimed regarding the ‘end’ of the development era, development discourse seems to be rather vigorous and in good health: it is able to extert an undeniable force of attraction over the twelve countries that, in a matter of years, have already convinced themselves of its validity and adhered to its main tenets. This thesis collects evidence for improving our understanding of this process that sees the co-optation of twelve new countries to the dominant theory and practice of development cooperation. The evidence collected seems to show that one of the tools employed by the promoters of this co-optation process is that of constructing the ‘new’ Member States as ‘new’, inexpert donors that need to learn from the ‘old’ ones. By taking a case-study approach, this thesis gathers data that suggests that conceiving of the ‘twelve’ as ‘new’ donors is both historically inaccurate and value-ladden. On one hand, Romania’s case-study illustrates how in the (socialist) past at least one in the group of the twelve was particularly conversant in the discourse of international development. On the other hand, the process of co-optation, while being presented as a knowledgeproducing process, can also be seen as an ignorance-producing procedure: Romania, along with its fellow new Member States, takes the opportunity of ‘building its capacity’ and ‘raising its awareness’ of development cooperation along the line drawn by the European Union, but at the same time it seems to un-learn and ‘lower’ its awareness of development experience in the (socialist) past. This is one possible reading of this thesis. At a different level, this thesis can also be seen as an attempt to account of almost five decades of international development discourse in one specific country – Romania – in three different socio-political contexts: the socialist years (up to the year 1989), the ‘transition years’ (from 1989 to the pre-accession years) and the membership to the European Union. In this second reading, the thesis seeks to illustrate how – contrary to widespread beliefs – before 1989 Romania’s international development discourse was particularly vivid: in the most varied national and international settings President Ceausescu unfolded an extensive discursive activity on issues pertaining to international development; generous media coverage of affairs concerning the developing countries and their fight for development was the rule rather than the exception; the political leadership wanted the Romanians not only to be familiarized with (or ‘aware of’ to use current terminology) matters of underdevelopment, but also to prove a sense of solidarity with these countries, as well as a sense of pride for the relations of ‘mutual help’ that were being built with them; finally, international development was object of academic attention and the Romanian scholars were able not only to reflect on major developments, but could also formulate critical positions towards the practices of development aid. Very little remains of all this during the transition years, while in the present those who are engaged in matters pertaining to international development do so with a view of building Romania as an EU-compliant donor.

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Several commentators have expressed disappointment with New Labour's apparent adherence to the policy frameworks of the previous Conservative administrations. The employment orientation of its welfare programmes, the contradictory nature of the social exclusion initiatives, and the continuing obsession with public sector marketisation, inspections, audits, standards and so on, have all come under critical scrutiny (c.f., Blyth 2001; Jordan 2001; Orme 2001). This paper suggests that in order to understand the socio-economic and political contexts affecting social work we need to examine the relationship between New Labour's modernisation project and its insertion within an architecture of global governance. In particular, membership of the European Union (EU), International Monetary Fund (IMF) and World Trade Organisation (WTO) set the parameters for domestic policy in important ways. Whilst much has been written about the economic dimensions of 'globalisation' in relation to social work rather less has been noted about the ways in which domestic policy agenda are driven by multilateral governance objectives. This policy dimension is important in trying to respond to various changes affecting social work as a professional activity. What is possible, what is encouraged, how things might be done, is tightly bounded by the policy frameworks governing practice and affected by those governing the lives of service users. It is unhelpful to see policy formulation in purely national terms as the UK is inserted into a network governance structure, a regulatory framework where decisions are made by many countries and organisations and agencies. Together, they are producing a 'new legal regime', characterised by a marked neo-liberal policy agenda. This paper aims to demonstrate the relationship of New Labour's modernisation programme to these new forms of legality by examining two main policy areas and the welfare implications they are enmeshed in. The first is privatisation, and the second is social policy in the European Union. Examining these areas allows a demonstration of how much of the New Labour programme can be understood as a local implementation of a transnational strategy, how parts of that strategy produce much of the social exclusion it purports to address, and how social welfare, and particularly social work, are noticeable by their absence within policy discourses of the strategy. The paper details how the privatisation programme is considered to be a crucial vehicle for the further development of a transnational political-economy, where capital accumulation has been redefined as 'welfare'. In this development, frameworks, codes and standards are central, and the final section of the paper examines how the modernisation strategy of the European Union depends upon social policy marked by an employment orientation and risk rationality, aimed at reconfiguring citizen identities.The strategy is governed through an 'open mode of coordination', in which codes, standards, benchmarks and so on play an important role. The paper considers the modernisation strategy and new legality within which it is embedded as dependent upon social policy as a technology of liberal governance, one demonstrating a new rationality in comparison to that governing post-Second World War welfare, and which aims to reconfigure institutional infrastructure and citizen identity.

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Quantitative studies of the conditions and consequences of religious diversity are based mostly on indices that measure the variety of religious membership in a particular region. However, this line of research has become stagnant, and the question of whether diversity affects religious vitality remains unanswered. This article attempts to shed new light on the discussion by measuring religious diversity differently and capturing religious vitality independently of membership figures. In particular, it contrasts the Herfindahl-Hirschman Index based on membership proportions with a second measure of diversity: an index of organizational diversity. Conversely, the dependent variable religious vitality is measured not by using rates of participation in religious organizations but via the Centrality of Religion Scale. Based on ecological and individual level data of forty-three local regions in Finland, Germany, and Slovenia and using multilevel analysis, our results suggest that religious diversity is related to religious vitality. However, the nature of this association differs across subgroups.

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We offer an analysis of the American Revolution in which actors are modeled as choosing the sovereign organization that maximizes their net expected benefits. Benefits of secession derive from satisfaction of greed and settlement of grievance. Costs derive from the cost of civil war and lost benefit of Empire membership. When expected net benefits are positive for both secessionists and the Empire civil war ensues, otherwise it is settled or never begins in the first place. The novelty of our discussion is to show how diverse economic and non-economic factors (such as pamphleteering by Thomas Paine and the morale of the Revolutionary forces) can be integrated into a single economic model.

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This paper describes new approaches to improve the local and global approximation (matching) and modeling capability of Takagi–Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem encountered is that T-S identification method cannot be applied when the membership functions are overlapped by pairs. This restricts the application of the T-S method because this type of membership function has been widely used during the last 2 decades in the stability, controller design of fuzzy systems and is popular in industrial control applications. The approach developed here can be considered as a generalized version of T-S identification method with optimized performance in approximating nonlinear functions. We propose a noniterative method through weighting of parameters approach and an iterative algorithm by applying the extended Kalman filter, based on the same idea of parameters’ weighting. We show that the Kalman filter is an effective tool in the identification of T-S fuzzy model. A fuzzy controller based linear quadratic regulator is proposed in order to show the effectiveness of the estimation method developed here in control applications. An illustrative example of an inverted pendulum is chosen to evaluate the robustness and remarkable performance of the proposed method locally and globally in comparison with the original T-S model. Simulation results indicate the potential, simplicity, and generality of the algorithm. An illustrative example is chosen to evaluate the robustness. In this paper, we prove that these algorithms converge very fast, thereby making them very practical to use.

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An efficient approach is presented to improve the local and global approximation and modelling capability of Takagi-Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy. The main problem is that T-S identification method cannot be applied when the membership functions are overlapped by pairs. This restricts the use of the T-S method because this type of membership function has been widely used during the last two decades in the stability, controller design and are popular in industrial control applications. The approach developed here can be considered as a generalized version of T-S method with optimized performance in approximating nonlinear functions. A simple approach with few computational effort, based on the well known parameters' weighting method is suggested for tuning T-S parameters to improve the choice of the performance index and minimize it. A global fuzzy controller (FC) based Linear Quadratic Regulator (LQR) is proposed in order to show the effectiveness of the estimation method developed here in control applications. Illustrative examples of an inverted pendulum and Van der Pol system are chosen to evaluate the robustness and remarkable performance of the proposed method and the high accuracy obtained in approximating nonlinear and unstable systems locally and globally in comparison with the original T-S model. Simulation results indicate the potential, simplicity and generality of the algorithm.

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The Academy has elected 72 new members and 15 foreign associates from 10 countries in recognition of their distinguished and continuing achievements in original research. The election was held during the business session of the 138th annual meeting of the Academy. Election to membership in the Academy is considered one of the highest honors that can be accorded a U.S. scientist or engineer. Foreign associates are non-voting members of the Academy, with citizenship outside of the United States.

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The Academy has elected 60 new members and 15 foreign associates from 9 countries in recognition of their distinguished and continuing achievements in original research. The election was held during the business session of the 137th annual meeting of the Academy. Election to membership in the Academy is considered one of the highest honors that can be accorded a U.S. scientist or engineer. Foreign associates are non-voting members of the Academy, with citizenship outside of the United States.