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Abstract
The IPP4B workshop assembles a group of researchers from academia and industry - BBC R&D, Ericsson and MOG Technologies - to discuss the state of the art and together envisage future directions for in-programme personalisation in broadcasting. The workshop comprises one invited keynote, two invited presentations together with a paper and discussion sessions.

Abstract
Venous thromboembolism is a pathology that is responsible for high rates of morbidity and mortality in hospitals. An adequate thromboprophylaxis may contribute to an effective improvement of the well-being and safety of patients. One of the important factors for the prescription of a thromboprophylaxis is the determination of the risk of thromboembolism, which can be implemented in several ways, using different methodologies, namely by using risk scales. In this work, developed in the Hospital Center of Tras-os-Montes and Alto Douro, Portugal, we describe the development and implementation of an application with two scales for the assessment and stratification of the risk of thromboembolism, to be applied in hospitalized patients (Caprini scale) and in patients in ambulatory surgery (scale recommended by the Portuguese Ambulatory Surgery Association). The application was integrated into the hospital electronic health record system (SClinico).

Abstract
We consider the problem of reliable gossip/epidemic dissemination in a network of n processes using push and pull algorithms. We generalize the random phone call model so that processes can refuse to push a rumor or answer pull requests. With this relaxation, we show that it is possible to disseminate a rumor to all processes with high probability using T(ln n) rounds of communication and only n + O(n/ln n) messages, both of which are optimal and achievable with push-pull and pull-only algorithms. Our algorithms are strikingly simple, address-oblivious and thus fully distributed. This contradicts a well-known result of Karp et al. [3] stating that any address-oblivious algorithm requires O(n ln lnn) messages. We also develop precise estimates of the number of rounds required in the push and pull phases of our algorithms to guarantee dissemination to all processes with a certain probability. For the push phase, we focus on a practical infect upon contagion approach that balances the load evenly across all processes. As an example, our push-pull algorithm requires 17 rounds to disseminate a rumor to all processes with probability 1 - 10-100 in a network of one million processes with a communication overhead of only 0:4%. © 2017 Association for Computing Machinery.

Abstract
The aim of this paper is to compare the electricity market design currently adopted in Portugal and in Brazil. We shed light on the differences and similarities between the two models regarding their rationale and risks. In particular, we highlight their differences regarding the organization of the wholesale and the retail activities: while the Portuguese model builds upon the pillars of competitive generation and retail, the Brazilian model is based on a centralized auction-contracting mechanism in the wholesale market and on captive consumption in the downstream market. We assess the advantages and disadvantages of each model by reviewing the theoretical and empirical literature on the benefits and limitations of retail choice and the literature on the pros and cons of electricity markets (in Portugal) versus contracts markets (in Brazil). The first approach yields competition in the market, whereas the second one fosters competition for electricity supply. We characterize the most stringent flaws in each model and we conclude that there is room for regulatory innovation in both models. The Portuguese model needs to be adjusted to create the necessary incentives to invest in the capacity that is needed to achieve the country's environmental and supply security goals. The Brazilian model already privileges investment incentives but it needs to be redesigned in order to account for the excessive risk allocated to distributors, which are quite vulnerable to exogenous shocks (e.g. hydrological shocks or demand-side macroeconomic shocks).

Abstract
Availability is a major design issue that should play an important role when deploying and operating wireless sensor networks, specially for critical monitoring applications. Actually, sensing redundancy can be exploited to enhance the attainable availability level of sensor networks, since redundant nodes can replace faulty nodes. When employing camera enabled sensors, the perception of sensing redundancy is considerably changed" when compared to scalar sensors, with direct impact on network availability. In such way, some characteristics as deployment density, viewing angle and sensing range should be properly evaluated in wireless visual sensor networks, in order to better estimate the network availability. Nevertheless, when deploying visual sensors on occluded environments, viewed areas and resulted overlapping may be significantly altered, redefining sensing redundancy. We then propose an algorithm to automatically select redundant nodes in wireless visual sensor networks deployed on areas with occlusion, according to network configurations and application availability requirements. Additionally, an algorithm to adjust cameras' orientations in occluded environments is also proposed. Mathematical assessment of the proposed algorithms are performed, allowing the discussion of how parameters of deployed networks can influence applications monitoring availability.