Abstract
Firms are increasingly under pressure to incorporate social sustainability practices into their operations and supply chain management strategies. The purpose of this research is to develop a taxonomy of the supply chain social sustainability (SCSS) practices adopted by firms. The methodology involves two steps. First, the taxonomy is built based on literature review. Second, our empirical analysis, using non-financial (sustainability) reports with a sample of 55 listed companies, identifies standard adoption practices. We used content analysis software to unearth the influential words in the sustainability reports from different industries, sizes, and geographical regions. The content analysis reveals three different themes that provide a snapshot of how Portuguese firms integrate social sustainability into their supply chain and operations. Firms emphasize diverse facets of social sustainability practices in upstream and downstream supply chain based on different industries. The results assume significance and provide unique insights on adoption practices to supply chain practitioners who otherwise have no information on what constitutes supply chain social sustainability in this region.

Abstract

Abstract
An accurate detection of the macular edema (ME) presence constitutes a crucial ophthalmological issue as it provides useful information for the identification, diagnosis and treatment of different relevant ocular and Systemic diseaseS. serous Retinal Detachment (sRD) is a particular type of ME, which is characterized by the leakage of fluid that has a propensity of being accumulated in the macular region. This paper proposes a new methodology for the automatic identification and characterization of the sRD edema using Optical Coherence Tomography (OCT) imageS. The subretinal fluids and the External Limiting Membrane (ELM) retinal layers are identified and characterized to measure the disease severity. Four different visualization modules were designed including representative derived parameters to facilitate the doctor's work in the diagnostic evaluation of ME. The different steps of this method were validated using the manual labelling provided by an expert clinician. The validation of the proposed method offered satisfactory results, constituting a suitable scenario with intuitive visual representations that also include different relevant biomarkerS. © 2018 The Author(s).

Abstract
Access control is a crucial part of a system's security, restricting what actions users can perform on resources. Therefore, access control is a core component when dealing with eHealth data and resources, discriminating which is available for a certain party. We consider that current systems that attempt to assure the share of policies between facilities are prone to system's and network's faults and do not assure the integrity of policies life-cycle. By approaching this problem with a blockchain where the operations are stored as transactions, we can ensure that the different facilities have knowledge about all the parts that can act over the eHealth resources while maintaining integrity, auditability, and authenticity.

Abstract

Abstract
The applications with Unmanned Aerial Vehicles have increased in the last decades due to their economic and technical feasibility. Moreover, several tasks require online objects tracking as well as the object position knowledge in the real-world with algorithms execution onboard. An example of such task is the video surveillance with human activity recognition. In this paper, we propose a new approach using Extended Kalman Filter to estimate and to predict the object real-world coordinates. This research shows that the results were up to 30% better compared to the results without data processing. © 2018 IEEE.