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The present study aimed to analyze the occurrence and prevalence, infestation rate and intensity, host-guest colonization pattern, morphometric relationships, and spatiotemporal distribution of the African pea crab (Afropinnotheres monodi) inhabiting the shell of Mediterranean mussels (Mytilus galloprovincialis) from the Algarve coast and Ria Formosa lagoon (southern Portugal). Sampling campaigns were performed with a trimestral periodicity in 2018-2019 and comprised 13 collecting sites distributed in the Ria Formosa, along the Algarve coast, and in an offshore mussel farm. Altogether, 10,109 individuals of M. galloprovincialis in a broad range of sizes (9.0-91.2 mm in shell length) were sampled, among which 571 host mussels (14.6-73.6 mm in shell length) contained a total of 598 individuals of A. monodi, corresponding to an infestation rate of 5.6% (prevalence rate of 5.9% due to multiple occurrences). The sample of pea crabs also covered an extensive range of sizes (1.7-14.5 mm in carapace width) and included eight juveniles, 163 males, and 427 females (82 hard females and 345 soft females, of which 128 were non-ovigerous and 217 ovigerous). Overall, hard (13.9%) and soft (58.5%) females prevailed over males (27.6%), corresponding to female-biased sex ratio of 1 male:2.6 females. In terms of infestation intensity, 95.4% of host mussels contained a single pea crab, with multiple infestations (two or three crabs inside a single mussel) being more frequent in the lagoon than along the coast. Morphometric relationships between host shell length and pea crab carapace width were highly correlated (r values ranged .218-.631), although there were no significant differences between sexes or female demographic categories and maturity stages. Overall, the present study provided further insights into the colonization of M. galloprovincialis by A. monodi. info:eu-repo/semantics/publishedVersion

Analytics has been a source of competitive advantage due to improved decision-making processes in several business areas. Organizations have reported gains in efficiency and effectiveness based on the implementation of data-driven strategies. However, Human Resources (HR) professionals have been struggling to implement Analytics processes and are missing out on the opportunity of using data to improve organizational performance and truly become a Business Strategic Partner. This Enterprise Project aims to contribute to shortening that gap. It sets out to gather and elicit business, user, functional, and nonfunctional requirements for a new Human Resources Analytics Module (HRAM) at Quidgest, a Portuguese Technological Consultancy company that develops Human Resources Information Systems. The gathering and elicitation of requirements were done through Interviews, a Questionnaire, and 2 Joint Application Development (JAD) Sessions. A Value Proposition Canvas was developed to convey a fit between the system’s main functionalities and HR Professionals’ needs based on those requirements. The relevance of this project is two-folded: First, when developed, the new Analytics Module can become a new revenue stream for Quidgest and a way to maintain and improve its competitiveness in the market; Second, HR Professionals may find a new tool that meets their needs towards implementing Analytics processes and take a step forward in becoming a Strategic Partner. The conclusion of this project also sets out to suggest the next steps for the Module Development and implementation. O uso de Analytics tem sido uma fonte de vantagem competitiva devido à melhoria dos processos de tomada de decisão. As organizações relatam ganhos em eficiência e eficácia com base na implementação de estratégias baseadas em análise de dados. No entanto, os profissionais de Recursos Humanos (RH) têm se debatido para implementar processos analíticos e estão a perder a oportunidade de usar os seus dados para melhorar o desempenho organizacional e se tornarem realmente Strategic Business Partners. Este projeto em empresa visa colmatar essa lacuna. Pretende-se recolher e clarificar requisitos de negócio, utilizador, funcionais e não funcionais para um novo Módulo de Human Resources (HR) Analytics na Quidgest, uma constultora tecnológica portuguesa que desenvolve Sistemas de Informação de RH. A recolha e a clarificação de requisitos foi feita através de entrevistas, um questionário, e 2 Joint Application Development Sessions. De seguida, foi desenvolvido um Value Proposition Canvas, que mostra como há um fit entre as principais funcionalidades do sistema e as necessidades dos profissionais de RH nesta área. A relevância deste projeto prende-se em dois aspetos: primeiro, o novo Módulo de Analytics pode tornar-se uma nova fonte de receita para a Quidgest e uma forma de manter e melhorar sua competitividade; Em segundo lugar, os profissionais de RH podem encontrar uma nova ferramenta que responda às suas necessidades de implementação de processos analíticos e dar um passo em frente para se tornarem um Business Partner. A conclusão deste projeto sugere os próximos passos para o Desenvolvimento do Módulo de Analytics.

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