Cooperative off-policy prediction of markov decision processes in adaptive networks

We apply diffusion strategies to propose a cooperative reinforcement learning algorithm, in which agents in a network communicate with their neighbors to improve predictions about their environment. The algorithm is suitable to learn off-policy even in large state spaces. We provide a mean-square-error performance analysis under constant step-sizes. The gain of cooperation in the form of more stability and less bias and variance in the prediction error, is illustrated in the context of a classical model. We show that the improvement in performance is especially significant when the behavior policy of the agents is different from the target policy under evaluation.

Measuring the Social Identity of Entrepreneurs: Scale Development and International Validation

Recent research indicates that social identity theory offers an important lens to improve our understanding of founders as enterprising individuals, the venture creation process, and its outcomes. Yet, further advances are hindered by the lack of a valid scale that could be used to measure founders' social identities - a problem that is particularly severe because social identity is a multidimensional construct that needs to be assessed properly so that organizational phenomena can be understood. Drawing on social identity theory and the systematic classification of founders' social identities (Darwinians, Communitarians, Missionaries) provided in Fauchart and Gruber (2011), this study develops and empirically validates a 12-item scale that allows scholars to capture the multidimensional nature of social identities of entrepreneurs. Our validation tests are unusually comprehensive and solid, as we not only validate the developed scale in the Alpine region (where it was originally conceived), but also in 12 additional countries and the Anglo-American region. Scholars can use the scale to identify founders' social identities and to relate these identities to micro-level processes and outcomes in new firm creation. Scholars may also link founders' social identities to other levels of analysis such as industries (e.g., industry evolution) or whole economies (e.g., economic growth).

Crisis Coming Home? Firm Performance During the Economic Crisis and Managers‘ Work-Family Conflict

The economic crisis over the past years has challenged managers in many ways. In our longitudinal study during the global recession, we examine how perceived firm performance interacts with sources of supervisor support and stress to affect managers’ work-family conflict. First, we draw from Conservation of Resources theory to analyze how sources of supervisor support and stress relate to managers’ work-family conflict. Second, we explore how perceived firm performance modifies the relationships between these factors and work-family conflict. Our surveys of 182 managers before and during the crisis reveal that perceived firm performance significantly alters the effectiveness of sources of supervisor support in relieving work-family conflict. Additionally, perceived poor firm performance was found to intensify the negative effect of stressors on work-family conflict. Our results highlight the need to consider an organization’s perceived health when studying managers’ attitudes and career outcomes.

Natural Language Generation and Fuzzy Sets : An Exploratory Study on Geographical Referring Expression Generation

This work was supported by the Spanish Ministry for Economy and Competitiveness (grant TIN2014-56633-C3-1-R) and by the European Regional Development Fund (ERDF/FEDER) and the Galician Ministry of Education (grants GRC2014/030 and CN2012/151). Alejandro Ramos-Soto is supported by the Spanish Ministry for Economy and Competitiveness (FPI Fellowship Program) under grant BES-2012-051878.

The Importance of Proper Measurement for a Cloud Security Assurance Model

Winner of a best paper award.

Information Security in the Cloud: Should We be Using a Different Approach?

Postprint

Rethinking Care Through Social Reproduction: Articulating Circuits of Migration

Care has come to dominate much feminist research on globalized migrations and the transfer of labor from the South to the North, while the older concept of reproduction had been pushed into the background but is now becoming the subject of debates on the commodification of care in the household and changes in welfare state policies. This article argues that we could achieve a better understanding of the different modalities and trajectories of care in the reproduction of individuals, families, and communities, both of migrant and nonmigrant populations by articulating the diverse circuits of migration, in particular that of labor and the family. In doing this, I go back to the earlier North American writing on racialized minorities and migrants and stratified social reproduction. I also explore insights from current Asian studies of gendered circuits of migration connecting labor and marriage migrations as well as the notion of global householding that highlights the gender politics of social reproduction operating within and beyond households in institutional and welfare architectures. In contrast to Asia, there has relatively been little exploration in European studies of the articulation of labor and family migrations through the lens of social reproduction. However, connecting the different types of migration enables us to achieve a more complex understanding of care trajectories and their contribution to social reproduction.

No second chance: the experiences of junior neonatal nurses in providing end-of-life care for babies and families in the NNU

Background

An infant’s death is acutely stressful for parents and professionals. Little is known about junior nurses’ experiences providing end-of-life care in Neonatal Units (NNU).

Objectives

To better understand junior nurses’ experiences providing end-of-life care in NNU, the study explored the challenges and opportunities inherent in their practice relating to providing such care to babies and their families.

Methods

Neonatal nurses (n=12) with less than 3 years’ experience who were undergoing a neonatal education programme participated. Two focus groups were convened each with 6 nurses. The Ethics Committee at the relevant University approved the study. Nominal Group Technique (NGT) was used in the focus groups to build consensus around the challenges faced by junior nurses, alongside suggested developments in improving future care provision. Primary analysis involved successive rounds of ranking and decision making whilst secondary analysis involved thematic analysis.

Results

The study identified the pressures these nurses felt in having only one chance to ‘get it right’ for the infants and their families. They perceived the need for further ‘education and training’ highlighting that improved education provision would include both additional courses and internal training sessions. Greater ‘support’ from mentors themselves more experienced in this aspect of care within the NNU was identified as important in addressing issues around confidence building and skill development.

Conclusions

The results highlight junior nurses’ need for specific education and mentorship around end-of-life care for babies. This presentation will outline the implications for practice, education and further research.

CULTIVATING THE O-SHAPED ENGINEER

With roots in the realm of construction, products and the physical world, it is not surprising that design and engineering education is grounded within the paradigm of consumerism and growth, perpetuating an unsustainable system. With a primary sustainability focus on material improvements, students are rarely asked to question the context into which their designs will fit, or to explore how their designs can promote a different (more sustainable) future rather than just a less unsustainable one. While we remain within this economic paradigm, even the T-shaped designer, with a broad general knowledge and deep expertise in one specific area, at best has potential to reduce negative environmental impact rather than to create positive social and environmental benefit. As such, the T-shaped engineer is allowed little opportunity to creatively explore more sustainable alternatives using systems-level thinking. This paper explores how we can prepare the next generation of designers and engineers to maximise their inherent skills to address the most intractable global issues, currently considered outside of their traditional remit. It questions the notion of the T-shaped designer, and proposes instead the O-shaped designer whose primary concern is circular systems, worldviews, synergies and relationships. The paper examines some of the tools used in depth, explaining some unexpected but essential components. Through two case studies it will show how their application is generating sustainable innovation and delivering new O-Shaped calibre of design engineers, ready to rebuild the future.

WONCA Rural Medical Education Guidebook

We are very excited to launch the WONCA Rural Medical Education Guidebook at the 12th WONCA World Rural Health Conference, Gramado, Brazil. The roots for the Guidebook go back to 1992 when a very important meeting was held on the sidelines of the WONCA Global Family Doctor conference in Vancouver, Canada. At this meeting an interested group of rural practitioners saw the need for WONCA to develop a specific focus on rural doctors. As a result, the WONCA Working Party on Rural Practice (WWPRP) was formed. The group set about producing a visionary roadmap for rural medical education in the form of a seminal document, the WONCA policy on Training for Rural Practice 1995. This was followed four years later by further recommendations made in a companion document, the WONCA policy on Rural Health and Rural Practice 1999, which was revised in 2001.

Dendritic Cells for Anomaly Detection

Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrusion detection system based on a novel concept in immunology, the Danger Theory. Dendritic Cells (DCs) are antigen presenting cells and key to the activation of the human immune system. DCs perform the vital role of combining signals from the host tissue and correlate these signals with proteins known as antigens. In algorithmic terms, individual DCs perform multi-sensor data fusion based on time-windows. The whole population of DCs asynchronously correlates the fused signals with a secondary data stream. The behaviour of human DCs is abstracted to form the DC Algorithm (DCA), which is implemented using an immune inspired framework, libtissue. This system is used to detect context switching for a basic machine learning dataset and to detect outgoing portscans in real-time. Experimental results show a significant difference between an outgoing portscan and normal traffic.

Libtissue - Implementing Innate Immunity

In a previous paper the authors argued the case for incorporating ideas from innate immunity into artificial immune systems (AISs) and presented an outline for a conceptualframework for such systems. A number of key general properties observed in the biological innate and adaptive immune systems were highlighted, and how such properties might be instantiated in artificial systems was discussed in detail. The next logical step is to take these ideas and build a software system with which AISs with these properties can be implemented and experimentally evaluated. This paper reports on the results of that step - the libtissue system.