79 documents found, page 1 of 8
Antioxidant and antimicrobial activity characteristics of seven biopreparations...
Simões, Joana; Peleja, Ana; Neves, Cláudia M.B.; Costa, Daniela V.T.A.; Correia, Helena Esteves; Pinto, António; Wessel, Dulcineia; Delgado, F.M.G.Agroecological transition is a major societal challenge and it is urgent to support technical solutions to answer farmers demand towards the necessary changes. The project RESTORE - biopReparados Em SisTemas prOdução agRoEcológicos aimed to study and validate the production, conservation, and use of seven biopreparations by characterizing and testing them in lettuce nurseries. The biopreparations used include p...
ViruScopeDB: a comprehensive multi-omics database for highly infectious viruses
Lima, Ana; Carneiro, João; Sousa, Sérgio; Sá, Vítor; Pratas, Diogo; Sá, Vítor J.Highly infectious viruses such as HIV, Ebola, and SARS-CoV-2 have presented ongoing challenges to global health. Consequently, the optimization of rapid detection tests, including PCR, and the identification of new therapeutic targets remain of paramount importance. The development of genomic and proteomic databases like the HIV Oligonucleotide Database (HIVoligoDB) [1], EbolaID [2], and CoV2ID [3] has facilita...
LC-ESI-UHR-QqTOF-MS/MS profiling and anti-inflammatory potential of the cultiva...
Zeghbib, Walid; Boudjouan, Fares; Carneiro, João; Oliveira, Ana L. S.; Sousa, Sérgio F.; Pintado, Manuela Estevez; Ourabah, Asma; Vasconcelos, VitorOpuntia plants are abundant but still underexplored edible resources of the Algerian region. This work chemically characterizes extracts of different parts of the fruit of the commercial Opuntia ficus-indica (L.) Mill. and the wild Opuntia stricta (Haw.) Haw. growing in Bejaia, and evaluates their anti-inflammatory potential through different cell and cell-free bioassays. The LC-ESI-UHR-QqTOF-MS/MS analysis ena...
Group recommender systems for tourism: how does personality predict preferences...
Gonçalves, Patrícia; Martins, Helena; Saraiva, Pedro; Carneiro, João; Novais, Paulo; Marreiros, GoretiTo travel in leisure is an emotional experience, and therefore, the more the information about the tourist is known, the more the personalized recommendations of places and attractions can be made. But if to provide recommendations to a tourist is complex, to provide them to a group is even more. The emergence of personality computing and personality-aware recommender systems (RS) brought a new solution for the...
Mapping human pathogens in wastewater using a metatranscriptomic approach
Carneiro, João; Pascoal, Francisco; Semedo, Miguel; Pratas, Diogo; Tomasino, Maria Paola; Rego, Adriana; Carvalho, Maria de Fátima; Mucha, Ana PaulaThe monitoring of cities' wastewaters for the detection of potentially pathogenic viruses and bacteria has been considered a priority during the COVID-19 pandemic to monitor public health in urban environments. The methodological approaches frequently used for this purpose include deoxyribonucleic acid (DNA)/Ribonucleic acid (RNA) isolation followed by quantitative polymerase chain reaction (qPCR) and reverse t...
Grouplanner: a group recommender system for tourism with multi-agent MicroServices
Alves, Patrícia; Gomes, Domingos; Rodrigues, Catarina; Carneiro, João; Novais, Paulo; Marreiros, GoretiTo provide recommendations to groups of tourists is a very complex task, especially due to conflicting preferences and the group’s heterogeneity. The introduction of Multi-Agent Systems (MAS) can be the leverage we are looking for. Their autonomy, isolated state, distribution, and loose coupling make them suitable for the development of distributed systems, being the concept similar to a Microservices architect...
Anomaly detection on natural language processing to improve predictions on tour...
Meira, Jorge; Carneiro, João; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Novais, Paulo; Marreiros, GoretiArgumentation-based dialogue models have shown to be appropriate for decision contexts in which it is intended to overcome the lack of interaction between decision-makers, either because they are dispersed, they are too many, or they are simply not even known. However, to support decision processes with argumentation-based dialogue models, it is necessary to have knowledge of certain aspects that are specific t...
An Intelligent Coaching Prototype for Elderly Care
Martinho, Diogo; Crista, Vítor; Carneiro, João; Corchado, Juan Manuel; Marreiros, GoretiThe world ageing problem is prompting new sustainable ways to support elderly people. As such, it is important to promote personalized and intelligent ways to assure the active and healthy ageing of the population. Technological breakthroughs have led to the development of personalized healthcare systems, capable of monitoring and providing feedback on different aspects that can improve the health of the elderl...
Anomaly Detection on Natural Language Processing to Improve Predictions on Tour...
Meira, Jorge; Carneiro, João; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Novais, Paulo; Marreiros, GoretiArgumentation-based dialogue models have shown to be appropriate for decision contexts in which it is intended to overcome the lack of interaction between decision-makers, either because they are dispersed, they are too many, or they are simply not even known. However, to support decision processes with argumentation-based dialogue models, it is necessary to have knowledge of certain aspects that are specific t...
A web-based group decision support system for multicriteria problems
Conceição, Luís; Martinho, Diogo; Andrade, Rui; Carneiro, João; Martins, Constantino; Marreiros, Goreti; Novais, PauloOne of the most important factors to determine the success of an organization is the quality of decisions made. Supporting a decision-making process is a complex task, mainly when decision-makers are dispersed. Group decision support systems (GDSSs) have been studied over the last decades with the goal of providing support to decision-makers; however, their acceptance by organizations has been difficult. This h...