Abstract
The next evolution in cellular communications will not only improve upon the performance of previous generations, but also represent an unparalleled expansion in the number of services and use cases. One of the foundations for this evolution is the design of highly flexible, versatile, and resource-/power-efficient hardware components. This paper proposes and evaluates an FPGA-oriented baseband processing architecture suitable for communication scenarios such as non-contiguous carrier aggregation, centralized Cloud Radio Access Network (C-RAN) processing, and 4G/5G waveform coexistence. Our system is upgradeable, resource-efficient, cost-effective, and provides support for three 5G waveform candidates. Exploring Dynamic Partial Reconfiguration (DPR), the proposed architecture expands the design space exploration beyond the available hardware resources on the Zynq xc7z020 through hardware virtualization. Additionally, Dynamic Frequency Scaling (DFS) allows for run-time adjustment of processing throughput and reduces power consumption up to 88%. The resource overhead for DPR and DFS is residual, and the reconfiguration latency is two orders of magnitude below the control plane latency requirements proposed for 5G communications.

Abstract
Hashtags have become a crucial social media tool. The categorization of posts in a simple and informal way helps to spread the content through the web. At the same time, it enables users to easily find messages within a specific topic. However, the flexibility provided to use and create a hashtag carries some problems. Equivalent expressions, like synonyms, are handled like entirely different words. On the other hand, the same hashtag may refer to different topics. In this paper, we present TORHID (Topic Relevant Hashtag Identification), a method that employs topic modeling with the purpose of retrieving and identifying hashtags relevant to a specific topic in Twitter streams, starting from a seed hashtag and resorting to a classifier to remove non relevant hashtags. The result is a network of hashtags related to the seed, that we can use to deepen the initial search.

Abstract
The growth of Internet of Things (IoT) technologies has triggered the development of low-cost solutions characterised by low energy consumption and low complexity. To interconnect these devices, some wireless communications technologies including IEEE 802.11 and IEEE 802.15.4 have been used due to their deployment and management simplicity and high scalability. However, in scenarios where the devices are physically distant or there is a massive number of devices in a reduced area, cellular technologies such as 3rd Generation Partnership Project (3GPP) Narrowband-Internet of Things (NB-IoT) are seen as the solution. This paper proposes a network planning theoretical model for NB-IoT, named NB-IoT Deterministic Link Adaptation Model (NB-DLAM), which can be used to estimate Quality of Service (QoS) metrics such as Packet Delivery Ratio (PDR), transmission time, and throughput. NB-DLAM estimations were compared with simulation results, which show the accuracy of the proposed model.

Abstract

Abstract
To increase the quality of the health care services and, at the same time, to control their costs, the use of Electronic Health Records (EHR) has substantially increased during the last years. Usability of EHR systems is a key factor to increase their efficiency. The SClinico is an EHR system widely used in public hospitals and primary care centres of the Portuguese National Health Service and the present article reports the assessment of its usability. This usability assessment consisted in three stages: in the first stage, an exploratory assessment was carried out, while in the second stage a quantitative assessment was performed using a validated usability assessment instrument, and, finally, in the third stage a focus group involving clinicians and usability experts was conducted. The results showed that SClinico presents important usability issues and, therefore, recommendations are suggested to overcome the identified issues.

Abstract
Considering the importance of innovation and supply chain (SC) management for firms' competitiveness and the growing interest for the relationship between these two areas, this conceptual paper aims to answer the following research question: how does the fit between the different innovation strategies and SC strategies influence business performance? A literature review was conducted as the basis for developing a conceptual framework, using the principles of resource-based view and contingency theory. Different innovation and SC strategies are studied and discussed with respect to the expected effects of fit on business performance. Five propositions and a conceptual framework are presented showing the complexity of the relationship between both strategies. The conceptual model put forward helps to advance research in the area allowing for an interrelationship between innovation and SC strategies, something that has not been adequately researched, and provides insights for managers who are seeking substantive improvement of business performance.