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    A YOLO algorithm for pattern recognition in images of marine species in closed seasons
    (Springer Science and Business Media Deutschland GmbH, 2024-01-01)
    One of the main problems that arise in the process of extracting marine species during the closed seasons is the indiscriminate loading of marine species that are prohibited because they are in spawning season. These problems are often aggravated by the lack of transparency in inspection process, where inspectors receive bribes when they intervene with vessels on the high seas (Ministerio de la Producción in https://pescayconsumoresponsable.produce.gob.pe/presentacion.html, [1]). In addition to that, (Mar del Perú in https://mardelperu.pe/articulos_wikipesca/reglas-de-juego/, [2]) details how the process of identifying marine species does not have rigorous verification due to not having the appropriate tools and control mechanisms. For those reasons, this paper will show an implementation of a technological solution based on a Artificial Intelligence and mobile application integrated into identification and control processes of marine species in closed seasons by providing an adequate classification of the species detected by those devices. To achieve this, YOLO algorithm has been trained and used in an integrated app. YOLO is an algorithm whose architecture is based on convolutional neural networks. This algorithm, unlike other CNN-based architectures, seeks to perform detection in a single run, which allows it to be an extremely fast alternative by performing two fundamental tasks at the same time: identifying a region of interest and classifying it.
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    Social Media Adoption and Reach by Ecuadorian Local Governments: An Empirical Study
    (Inderscience Publishers, 2023-01-01)
    In this article, we present an empirical study about adoption and reach of Facebook, Twitter, and YouTube by Ecuadorian municipal governments. Data was collected from 55 social media profiles of municipal authorities in three provinces, representing 25% of all Ecuadorian cantons and 54% of the population. Determinants of adoption and reach were investigated by resorting to correlation, regression, and means comparison studies. We conclude that population size is a good predictor of reach in social media, but it is not relevant to explain early adoption. This may be the consequence of social media technology being inexpensive and simple to adopt, thus being accessible to any local authority, while making good use of it has more financial and administrative burdens and, consequently, is associated with bigger local authorities. Also, adoption may have been centrally driven and programmatically motivated, which would also explain the lesser relevance of population size for early adoption.
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    An Empirical Model for Measuring Quality and Maturity of Interoperability of E-Government Solutions: Case Study—Public Entities Related to Tourism, Hospitality, and Gastronomy in Ecuador
    (Springer Science and Business Media Deutschland GmbH, 2023-01-01)
    Interoperability has become a fundamental tool for the development of e-government services through which different state institutions exchange information (e.g., in the form of open data) and build joint IT solutions for the benefit of the citizen. Many of these solutions are not evaluated on factors such as the quality of the systems and the maturity of the interoperability itself, and thus do not achieve either high usage rates by citizens or good ratings by those who do use them. Present paper proposes a model for evaluating the quality and maturity of interoperable solutions, which is used to evaluate, as a case study, the public institutions in charge of tourism and the reactivation of the post-pandemic sector in the Republic of Ecuador.
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    Ballots make waves: the impact of elections on social media adoption by local governments
    (Emerald Publishing Limited, 2025-01-01)
    This study aims to investigate the impact of elections on social media adoption by local governments. Design/methodology/approach Local elections between 2007 and 2018, all 308 Portuguese municipalities and all 43 districts of the Lima metropolitan area (the capital city of Peru) were considered in the study. The impact of elections on each country was assessed by fitting a theoretical model to the social media adoption data (collected for Facebook, YouTube and Twitter). This theoretical model includes a normal curve (as predicted by the Diffusion of Innovation Theory) and negative exponential curves centered on the inauguration dates of the newly elected governments. Findings Results are impressive and consistent for both countries: following an initial period characterized by a normal adoption curve, there are notable surges in adoption associated with the inauguration dates of newly elected administrations. In a metaphorical sense, ballots make new waves of adoption. Research limitations/implications The findings suggest that researchers should take into account the influence of elections when examining how local governments adopt innovations. Practical implications The findings indicate that practitioners may find an opportunity to expedite the adoption of innovative communication technologies right after newly elected governments assume office. Additionally, election campaigns present a favorable occasion to demonstrate these innovations. Originality/value This is the first study to use non-linear optimizing techniques to explain the impact of elections on social media adoption by local governments.
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