Abstract
In recent years, research concerning the operation of Autonomous Surface Vehicles (ASVs) has seen an upward trend, although the full-scale application of this type of vehicles still encounters diverse limitations. In particular, the docking and undocking processes of an ASV are tasks that currently require human intervention. Aiming to take one step further towards enabling a vessel to dock autonomously, this article presents a Deep Learning approach to detect a docking structure in the environment surrounding the vessel. The work also included the acquisition of a dataset composed of LiDAR scans and RGB images, along with IMU and GPS information, obtained in simulation. The developed network achieved an accuracy of 95.99%, being robust to several degrees of Gaussian noise, with an average accuracy of 9334% and a deviation of 5.46% for the worst case.

Abstract
Like incubators, regulatory sandboxes constitute a prominent mechanism to enable entrepreneurial activities that guide financial technology (FinTech) firms through regulatory frameworks in the financial industry. Because they are new, there is a lack of research on regulatory sandboxes; most studies have investigated legal aspects while overlooking the management perspective. To address this gap, this paper builds on incubation research studies to explore how social interactions within regulatory sandboxes influence the practices of regulators and regulatees, using social capital theory. An exploratory-abductive approach is adopted, using data collected from 16 semi-structured interviews. The findings indicate that regulator-regulatee social interactions increase the legitimacy, risk management capabilities, and knowledge of regulatory frameworks among regulatees and, as to regulators, increase their understanding of regulatory constraints and potential risks in enabling technologies, better inform them of regulatees’ support needs, and offer them early access to regulatory innovations. The findings also reveal that the practices of regulators and regulatees may be negatively affected due to lowered trust and discrepancies in expectations and underlying goals. This research contributes to the incubation literature by focusing on the micro and meso levels of knowledge exchange and the entrepreneurial finance literature by promoting the role of incubation models.

Abstract
Addressing sustainable development and societal challenges have been placed at the heart of all government priorities, detachedly of country stage of development, as a mean to achieve prosperity through social cohesion and equality. In this setting, entrepreneurship appears to be a powerful tool to encompass economic, social, and environmental goals, particularly when sustainability oriented. Sustainability oriented entrepreneurs (henceforth SEO) are still focused in profit maximization strategies combined with environmental respect and social inclusion and rely on a firm-based entrepreneurship initiative integrating the triple bottom line. The chapter aims to understand the role of culture (culture and social norms) on SEO activity among several countries, along with gender heterogeneity. Specifically, the study determines the moderating effect of (national) culture on SEO. The study uses a logistic regression and the Global Entrepreneurship Monitor (GEM) database from 2015, with information of 60 countries. © 2020, IGI Global.

Abstract
Falls are among the frequent causes of the loss of mobility and independence in the elderly population. Given the global population aging, new strategies for predicting falls are required to reduce the number of their occurrences. In this study, a multifactorial screening protocol was applied to 281 community-dwelling adults aged over 65, and their 12-month prospective falls were annotated. Clinical and self-reported data, along with data from instrumented functional tests, involving inertial sensors and a pressure platform, were fused using early, late, and slow fusion approaches. For the early and late fusion, a classification pipeline was designed employing stratified sampling for the generation of the training and test sets. Grid search with cross-validation was used to optimize a set of feature selectors and classifiers. According to the slow fusion approach, each data source was mixed in the middle layers of a multilayer perceptron. The three studied fusion approaches yielded similar results for the majority of the metrics. However, if recall is considered to be more important than specificity, then the result of the late fusion approach providing a recall of 78.6% is better compared with the results achieved by the other two approaches.

Abstract
Overuse of antibiotics is causing the environment to become polluted with them. This is a major threat to global health, with bacteria developing resistance to antibiotics because of it. To monitor this threat, multiple antibiotic detection methods have been developed; however, they are normally complex and costly. In this work, an affordable, easy to use alternative based on digital colourimetry is proposed. Photographs of samples next to a colour reference target were acquired to build a dataset. The algorithm proposed detects the reference target, based on binarisation algorithms, in order to standardise the collected images using a colour correction matrix converting from RGB to XYZ, providing a necessary colour constancy between photographs from different devices. Afterwards, the sample is extracted through edge detection and Hough transform algorithms. Finally, the sulfonamide concentration is estimated resorting to an experimentally designed calibration curve, which correlates the concentration and colour information. Best performance was obtained using Hue colour, achieving a relative standard deviation value of less than 3.5%. © 2019, Springer Nature Switzerland AG.

Abstract
Our research goal is to assess creativity and innovation in the profiles of digital influencers (DIs) and examine how they participate in the shared process of content creation with their partner brands. Based on in-depth interviews with 30 Brazilian DI who had at least one partnership with a brand, we showed that they expressed four out of the nine dimensions of creativity, in addition to a new attribute that we designated as 'Originality'. We also found that DIs regard as strategic sharing creative, innovative, quality content and also being involved in content production with the brands during the different stages of message development. The current literature tends to stress DIs' reactive role in the co-creation experience. We analysed how they manifest (process) their creative task as well as their strategies for generating innovative content. Our results help brand managers to cooperate more efficiently and respectfully with their DIs.