989 resultados para Collaborative organizations


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Ranking over sets arise when users choose between groups of items. For example, a group may be of those movies deemed 5 stars to them, or a customized tour package. It turns out, to model this data type properly, we need to investigate the general combinatorics problem of partitioning a set and ordering the subsets. Here we construct a probabilistic log-linear model over a set of ordered subsets. Inference in this combinatorial space is highly challenging: The space size approaches (N!/2)6.93145N+1 as N approaches infinity. We propose a split-and-merge Metropolis-Hastings procedure that can explore the state-space efficiently. For discovering hidden aspects in the data, we enrich the model with latent binary variables so that the posteriors can be efficiently evaluated. Finally, we evaluate the proposed model on large-scale collaborative filtering tasks and demonstrate that it is competitive against state-of-the-art methods.

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This article reports on a self-study of teacher educators involved in a preservice teacher unit on literacy. In this study the teacher educators provided the preservice teachers with digital oral feedback about their final unit of work. Rather than marking written work as individual lecturers, we collaboratively read each assignment and recorded a sound file of our conversation. We constructed our collaborative marking of each assignment as a “cultural gift” to our own professional learning. We found that we were providing more in-depth feedback on the assessment criteria for each assignment than we would have with written feedback prepared individually. We also uncovered tensions in relation to our preferred modalities associated with the digital marking.

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Objectives:
To determine the effectiveness of 
collaborative care in reducing depression in primary care patients with diabetes or heart disease using practice nurses as case managers.

Design:
A two-arm open randomised cluster trial with wait-list control for 6 months. The intervention was followed over 12 months.
Setting:
Eleven Australian general practices, five randomly allocated to the intervention and six to the control.
Participants:
400 primary care patients (206 intervention, 194 control) with depression and type 2 diabetes, coronary heart disease or both.
Intervention:
The practice nurse acted as a case manager identifying depression, reviewing pathology results, lifestyle risk factors and patient goals and priorities. Usual care continued in the controls.
Main outcome measure:
A five-point reduction in depression scores for patients with moderate-to-severe depression. Secondary outcome was improvements in physiological measures.
Results:
Mean depression scores after 6 months of intervention for patients with moderate-to-severe depression decreased by 5.7±1.3 compared with 4.3±1.2 in control, a significant (p=0.012) difference. (The plus–minus is the 95% confidence range) Intervention practices demonstrated adherence to treatment guidelines and intensification of treatment for depression, where exercise increased by 19%, referrals to exercise programmes by 16%, referrals to mental health workers (MHWs) by 7% and visits to MHWs by 17%. Control-practice exercise did not change, whereas referrals to exercise programmes dropped by 5% and visits to MHWs by 3%. Only referrals to MHW increased by 12%. Intervention improvements were sustained over 12 months, with a significant (p=0.015) decrease in 10-year cardiovascular disease risk from 27.4±3.4% to 24.8±3.8%. A review of patients indicated that the study’s safety protocols were followed.
Conclusions:
TrueBlue participants showed significantly improved depression and treatment intensification, sustained over 12 months of intervention and reduced 10-year cardiovascular disease risk. Collaborative care using practice nurses appears to be an effective primary care intervention.

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Community arts can provide older people with opportunities to enhance quality of life, provide a sense fulfillment, and create a space for teaching, learning and sharing. Our research question asks how and why do older Australian people active in society engage with craft. This article discusses one particular case study from a larger ongoing joint research project, Well-being and ageing: community, diversity and the arts in Victoria. This project, begun in 2008 has been undertaken by academic researchers from two metropolitan Australian universities in Melbourne, Victoria (Deakin University and Monash University). This research has entailed a number of case studies of individual visual and performing arts community organizations that cater for older people active in community. This phenomenological qualitative case study sought in-depth understandings of the group of découpeurs (all members of the Découpage Guild Australia). Phenomenological research entails an exploration of participants’ lifeworlds, experiences, understandings, and perceptions. The data are reported under three over-arching themes: Learning and Teaching; Being Creative; and Well-being. This study has demonstrated that craft engagement can provide participants with new learning experiences, teaching opportunities in a collaborative community, an outlet for their creativity, and fosters an enhanced sense of self and well-being.

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In the context of collaborative filtering, the well known data sparsity issue makes two like-minded users have little similarity, and consequently renders the k nearest neighbour rule inapplicable. In this paper, we address the data sparsity problem in the neighbourhood-based CF methods by proposing an Adaptive-Maximum imputation method (AdaM). The basic idea is to identify an imputation area that can maximize the imputation benefit for recommendation purposes, while minimizing the imputation error brought in. To achieve the maximum imputation benefit, the imputation area is determined from both the user and the item perspectives; to minimize the imputation error, there is at least one real rating preserved for each item in the identified imputation area. A theoretical analysis is provided to prove that the proposed imputation method outperforms the conventional neighbourhood-based CF methods through more accurate neighbour identification. Experiment results on benchmark datasets show that the proposed method significantly outperforms the other related state-of-the-art imputation-based methods in terms of accuracy.

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As a popular technique in recommender systems, Collaborative Filtering (CF) has received extensive attention in recent years. However, its privacy-related issues, especially for neighborhood-based CF methods, can not be overlooked. The aim of this study is to address the privacy issues in the context of neighborhood-based CF methods by proposing a Private Neighbor Collaborative Filtering (PNCF) algorithm. The algorithm includes two privacy-preserving operations: Private Neighbor Selection and Recommendation-Aware Sensitivity. Private Neighbor Selection is constructed on the basis of the notion of differential privacy to privately choose neighbors. Recommendation-Aware Sensitivity is introduced to enhance the performance of recommendations. Theoretical and experimental analysis are provided to show the proposed algorithm can preserve differential privacy while retaining the accuracy of recommendations.

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Travellers undertake a process of reorientation and realignment that is particular to each destination. This process intensifies when travelling long distances across borders, cultures and climates, as travellers utilise performative, embodied and creative methods that respond to each new environment. Certain destinations, such as those with unique and extreme natural environments, induce a socio-cultural imaginary that primes travellers for what kind of experience they might have. Large, immersive landscapes and climates congeal with expectations of what each destination requires in order to navigate through it. Common bearings of distance and scale are skewed, as travellers are positioned within areas of vastness. In these moments immersive experiences contrast with daily processes, such as the act of packing a bag, as this heightened sensory awareness exacerbates the subtle material and spatial negotiations. Utilising interviews and photographic documentation of travellers to Iceland and Nepal, this paper develops the proposal that certain destinations intensify our attunement to these moments of reorientation, facilitating situated and creative methods.

As recent developments in the fields of mobilities and tourism draws attention to material interactions during travel, and current ‘new materialism’ movements in theory and practice reveal alternative affective methods of engagement, an exploration of interactions with/in immersive sites is needed in order to evaluate the potential that these kinds of transitions offer everyday experiences of movement. Nigel Thrift’s proposition of Non-Representational Theory provides clarity on the ways in which spatial awareness influences such transitions and environmental experiences. Using his acknowledgement of a more ontologically driven responsiveness to space, this permits a shift away from the presupposed containment of spaces as isolated destinations, toward a relational spatiality that encompasses all actors – including environments – as vital elements in the generative processes of situating our movements.

Creative strategies that afford sensory, aesthetic and embodied performances provide ways to examine these experiences, providing a multitude of possibilities as individual experiences shift towards collective and collaborative performances, as we are immersed within a range of human and non-human actors. This paper explores the transition away from ‘consuming’ environments, and advocates for the need to turn towards a situated collaboration with environments, propelling an awareness of sustainable and creative travel practices. An understanding of affirmative differences is required within travel cultures, rather than expressing transitions as confined within the ‘home’ versus ‘away’ dichotomy that lingers from elite western travel narratives. In order to undertake the many movements required, this paper draws on the theoretical approaches of sustainable nomadism as described by Rosi Braidotti to highlight the linkages of environmental and bodily experiences.

Through multidisciplinary literature, interviews and personal reflections, this paper proposes that certain destinations amplify processes of alignment with the environment, developing affective, embodied and situated experiences that overcome the human/non-human divide.

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Localities Embracing and Accepting Diversity (LEAD) is an ongoing place-based pilot program aimed at improving health outcomes among Aboriginal and migrant communities through increased social and economic participation. Specifically, LEAD works with mainstream organizations to prevent race-based discrimination from occurring. The partnership model of LEAD was designed to create a community intervention that was evidence-based, effective, and flexible enough to respond to local contexts and needs. LEAD's complex organizational and partnership model, in combination with an innovative approach to reducing race-based discrimination, has necessitated the use of new language and communication strategies to build genuinely collaborative partnerships. Allocating sufficient time to develop strategies aligned with this new way of doing business has been critical. However, preliminary data indicate that a varied set of partners has been integral to supporting the widespread influence of the emerging LEAD findings across partner networks in a number of different sectors.

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Souvenir hunters are often limited in their selection of souvenirs to objects that evoke an iconic and/or generic relationship to place. For example, a small-scale replica of the Eiffel Tower might substitute for a whole range of other more personal responses to the sensory experience of being in Paris. This paper reports on a collaborative and cross-artform five-day workshop, “Souvenirs of the Senses”, conducted in Qatar in early 2013 as part of Tasmeem Doha: Hybrid Making, a biennial international art and design conference. Two of the three workshop leaders, Patrick West and Jondi Keane, were Australian-based visitors whereas workshop leader Valerie Jeremijenko is permanently based in Qatar. There were five workshop participants from a diverse range of international and Qatari backgrounds. One of the conference themes, “Made in Qatar”, heightened our attention to what it means to be spending time in, and making things in, one place as opposed to any other place. What did it mean to be making something in a country where so many things have to be imported? Building on this line of thought, the second conference theme, “Hybrid Making”, suggested possibilities for undoing traditional modes of souvenir making as part of the creation of more complex objects that might be sutured to the singular experiences of place that happen when a.) established regimes of tourism are disrupted, and b.) experiences of place are curated via a focused awareness of the operations of the senses as sustained within our collaborative, cross-artform workshop environment. What attracts our attention is how objects ripe for “souveniring”, when they are considered as perceptual systems, suggest new ways of experimenting with the fabrication of objects and of artistic and individual relationships to place, and further, how hybrid souvenirs affect the way in which a place is re-membered (put together) and re-made in memory.

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The motion capture process places unique demands on performers. The impact of this process on the simultaneously artistic/somatic nature of dance practice is profound. This paper explores, from a performer’s perspective, how the process of performing in an optical motion capture system can impact and limit, but also expand and reconfigure a dancer’s somatic practice. This paper argues that working within motion capture processes affects not only the immediate contexts of capture and interactive performance, but also sets up a dialogue between dance practices within and beyond the motion capture studio.