FCT2-Artigos (em revistas ou actas indexadas)
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Percorrer FCT2-Artigos (em revistas ou actas indexadas) por Objetivos de Desenvolvimento Sustentável (ODS) "09:Indústria, Inovação e Infraestruturas"
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- Advanced nanotherapeutic strategies transforming diabetic wound healingPublication . Ramos, Filipa; Kumar, Girish; Virmani, Tarun; Sharma, Abhishek; Duarte, Sofia O. D.; Fonte, PedroDue to their high recurrence rates and slow healing, diabetic wounds are becoming a greater public health concern [Citation1]. Each year, 1.6 million cases of diabetic wounds occur in the United States alone, affecting approximately 18.6 million people worldwide [Citation2]. Because of poor cellular regeneration, increased inflammation, and reduced angiogenesis, traditional treatments like debridement, antibiotics, and dressings usually do not work [Citation3]. To overcome the limitations of traditional treatments, there is now a significant demand for advanced therapeutic modalities that promise accurate, efficient, and rapid healing processes [Citation4]. These include microneedles (MNs), exosomes, tetrahedral framework nucleic acids (tFNAs), three-dimensional scaffolds, gene therapy, oxygen-releasing biomaterials, phototherapies, and nanozymes.
- Another tool for chondrichthyan ex situ conservation: first-time chimaera monstrosa sperm cryopreservationPublication . García-Salinas, Pablo; Gallego, Victor; Asturiano, Juan F.Chondrichthyans, which comprises elasmobranchs (sharks and rays) and holocephalans (chimaeras), are one of the most endangered group of vertebrates on the planet. Ex situ conservation programs, such as captive breeding, are tools that can be used to improve the status of some of the most sensitive species belonging to these groups. However, the use of reproductive techniques is necessary when planning sustainable breeding programs in controlled environments. In recent years, our group has described the protocols necessary to achieve viable sperm extraction and its cryopreservation in 13 species. However, the use of these techniques in the holocephalan group has not yet been explored. Here, the process of obtaining viable sperm in a holocephalan species, Chimaera monstrosa, is presented for the first time. The sperm was obtained from animals recovered from bottom trawling bycatch. It was possible to recover sperm from both males (n = 3), using cannulation and abdominal massage, and females (n = 2), by directly accessing their oviductal glands. Sufficient sperm was obtained from the males to apply cryopreservation protocols developed for elasmobranchs. For this purpose, the sperm was diluted in an extender for elasmobranchs (1 sperm:9 extender) previously developed by our group. The cryopreservation of sperm was achieved through the addition of different cryoprotectants to the extender: methanol, dimethyl sulfoxide (DMSO) and fresh egg yolk. Samples were frozen inside a Styrofoam box using vapor of liquid nitrogen and preserved in liquid nitrogen. Sperm quality was assessed by studying motility and membrane integrity post-thawing. The initial motility and membrane integrity values were close to 54%. The best post-thawing motility values were obtained with a combination of 5% DMSO, 5% methanol and 10% egg yolk, which induced motility values close to 25% and membrane integrity values close to 24%. This is the first time that sperm from this group of animals has been cryopreserved, expanding our knowledge on their reproductive biology and the tools available for their conservation.
- The author’s journey—understanding and Improving the authoring process of theory-driven socially intelligent agentsPublication . Guimarães, Manuel; Campos, Joana; Santos, Pedro A.; Dias, João; Prada, RuiState-of-the-art agent-modelling tools support the creation of powerful Socially Intelligent Agents (SIAs) capable of engaging in social interactions with participants in various roles and environments. However, their deployment demands a labourious authoring task as it is necessary to manually define behaviour rules and create content for different interaction scenarios. While Socially Intelligent Agents (SIAs) research has centred on the user experience, we shift focus to the authors. To understand the challenges faced by authors who create these agents, we performed an innovative analysis of the authoring experience in modern agent modelling tools. One key finding is that, while SIA concepts are generally understandable, emotional-based concepts are not as easily comprehended or used by authors. We propose a hybrid solution approach that culminated in the development of Authoring-Assisted FAtiMA-Toolkit. The augmented agent modelling tool incorporates a data-driven Authoring Assistant to boost author productivity while promoting transparency and authorial control. To evaluate the impact of this framework on the authoring experience, we conducted a user study. Results showed that authors using the Authoring-Assisted FAtiMA-Toolkit were on average able to create more SIA-related content in less time. Our findings suggest that data-augmented, theory-grounded agent modelling tools can support the development of affective social agents by reducing the authoring burden without sacrificing the framework’s clarity or the authors’ control over the content.
- Bridging the ESG data gap: transparent metrics and rankings for emerging financial marketsPublication . QACHACH, AZHAR RIM; El Mahrad, Badr; Kharbouch, Omar; Moumen, Aniss; Aoufi, Sara El; Gueddari, Manal El; Abdallah-Ou-Moussa, SoukainaEnvironmental, Social, and Governance (ESG) performance has become a pivotal driver of firm valuation, investment flows, and capital market stability and a critical dimension of corporate sustainability and investor decision-making. Yet, emerging markets face structural barriers to standardized ESG measurement due to limited data availability and inconsistent disclosures. This study addresses this gap by developing a simplified, transparent and indicator-based ESG assessment model tailored to the Moroccan capital market using publicly available data from 20 companies listed in the MASI ESG Index on the Casablanca Stock Exchange. The framework evaluates 12 equally weighted indicators across environmental, social, and governance pillars, and employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a Multi-Criteria Decision-Making (MCDM) method, to generate firm-level ESG scores and rankings. In addition to equal-weighted rankings, the model was stress-tested using entropy-based and expert-informed weights. Results reveal a wide disparity in ESG maturity: while environmental reporting is relatively advanced, social and governance disclosures lag behind. Top-ranking firms align closely with international frameworks such as GRI, whereas others lack fundamental transparency. By offering a replicable, low-data ESG scoring method applicable to other emerging markets, this research provides actionable insights for investors, regulators, and corporate leaders. The findings contribute to the financial literature on ESG integration, support the design of sustainable investment strategies, and advance policy efforts to strengthen capital market resilience across the MENA region.
- Building a Portuguese coalition for biodiversity genomicsPublication . Marques, João P.; Alves, Paulo C.; Amorim, Isabel R.; Lopes, Ricardo J.; Moura, Monica; Myers, Eugene; Sim-sim, Manuela; Sousa-Santos, Carla; Alves, M. Judite; Borges, Paulo A. V.; Brown, Thomas; Carneiro, Miguel; Carrapato, Carlos; Ceríaco, Luís M. P.; Ciofi, Claúdio; Silva, Luís P. da; Diedericks, Genevieve; Diroma, Maria Angela; Farelo, Liliana; Formenti, Giulio; Gil, Fátima; Grilo, Miguel; Iannucci, Alessio; Leitão, Henrique G.; Máguas,Cristina; Mc Cartney, Ann M.; Mendes, Sofia L.; Moreno, João M.; Morselli, Marco; Mouton, Alice; Natali, Chiara; Pereira, Fernando; Rego, Rúben M. C.; Resendes, Roberto; Roxo, Guilherme; Svardal, Hannes; Trindade, Helena; Vicente, Sara; Winkler, Sylke; Alvarenga, Marcela; Amaral, Andreia J.; Antunes, Agostinho; Campos, Paula F.; Canario, Adelino; Castilho, Rita; Castro, L. Filipe C.; Crottini, Angelica; Cunha, Mónica V.; Themudo, Gonçalo Espregueira; Esteves, Pedro J.; Faria, Rui; Rodríguez Fernandes, Carlos; Ledoux, Jean-Baptiste; Louro, Bruno; Magalhaes, Sara; Paulo, Octávio S.; Pearson, Gareth Anthony; Pimenta, João; Pina-Martins, Francisco; Santos, Teresa L.; Serrao, Ester A.; Melo-Ferreira, José; Sousa, Vítor C.The diverse physiography of the Portuguese land and marine territory, spanning from continental Europe to the Atlantic archipelagos, has made it an important repository of biodiversity throughout the Pleistocene glacial cycles, leading to a remarkable diversity of species and ecosystems. This rich biodiversity is under threat from anthropogenic drivers, such as climate change, invasive species, land use changes, overexploitation, or pathogen (re) emergence. The inventory, characterisation, and study of biodiversity at inter- and intra-specific levels using genomics is crucial to promote its preservation and recovery by informing biodiversity conservation policies, management measures, and research. The participation of researchers from Portuguese institutions in the European Reference Genome Atlas (ERGA) initiative and its pilot effort to generate reference genomes for European biodiversity has reinforced the establishment of Biogenome Portugal.
- Building sustainability composite indicators using a multi-criteria approachPublication . Xavier, António; Fragoso, Rui; Ferreira da Silva da Costa Freitas, Maria de BelémBuilding sustainability composite indicators is a complex process that has been addressed according to different strategies. One interesting approach is based on the compromise between the maximum aggregate solution and the most balanced solution, by considering the most displaced indicator regarding the ideal. However, some shortcomings were identified in this approach. First, several decision-making units may present an equal composite indicator, and hence the same position in the ranking, while corresponding to different sustainability situations. Second, the use of only the maximum deviation to define the most balanced solution requires a more integrated approach. Thus, this paper proposes a novel aggregation methodology for building sustainability composite indicators, where a new normalized entropy indicator for the most balanced solution is proposed and integrated with the sustainability criteria of the maximum aggregate solution and maximum deviation. The method proposed was applied to two illustrative examples from the literature and provided promising and robust results.
- Clean production of microalgae high-value lipid fraction: influence of different pretreatments on chemical and cytotoxic profiles of Chlorella vulgaris supercritical extracts and life cycle assessmentPublication . Vladic, Jelena; Radman, Sanja; Zizak, Zeljko; Besu, Irina; Jerkovic, Igor; Galileu Speranza, Lais; Hala, Ahmad Furqan; Kovacevic, Strahinja; Gouveia, Luisa; Pereira, HugoMicroalgae have emerged as a promising natural resource rich in bioactive compounds. Health-beneficial properties of microalgae, coupled with advantageous characteristics such as high biomass productivity, adaptability, robustness, and carbon dioxide mitigation, position them as a viable solution for global sustainable food production. This study explored clean and environmentally friendly processes to enhance the recovery of lipid bioactive fractions. Microwave (MW), enzymatic (ENZ), and ultrasound (US) pretreatments were applied to improve environmentally friendly extraction of lipid-based components using supercritical CO2. The effects of these pretreatments on extraction yield, chemical profiles, and cytotoxic properties of Chlorella vulgaris (Cv) and smooth C. vulgaris (sCv) extracts were investigated. Additionally, a Life Cycle Assessment (LCA) was conducted to evaluate environmental impacts. MW pretreatment achieved the highest yield increases, from 2.58 times (Cv) to 3.15 times (sCv). UHPLC-ESI-HRMS analysis revealed shifts in the distribution of pigments and derivatives caused by pretreatments, with ENZ extracts showing the most pronounced changes: pigments increased from 9.24% (control Cv) to 40.92% (Cv) and from 12.52% (control sCv) to 71.12% (sCv). Cv extracts exhibited greater activity against MDA-MB-453 cells, while sCv extracts from US pretreatment demonstrated the strongest effect on HeLa cells. The LCA indicated reduced environmental impacts of the pretreatment-enhanced processes up to 65% compared to the control. A scenario analysis was presented to show further possible impact reduction by recirculating the CO2 solvent and substituting the energy source. These findings provide valuable insights into sustainable and scalable green processes for recovering microalgal bioactive components.
- Combining adequate BRUV deployment times with individual photo-identification improves monitoring of shark populations in the CaribbeanPublication . Kohler, Johanna; Gore, Mauvis; Ormond, Rupert; Mason, Katherine; Veeder, Anne; Austin, TimothySharks play a key role in coral reef ecosystems, but Caribbean populations are concerningly low. When monitoring endangered species, it is critical to use minimally invasive tools and protocols that are adequate for local species and the environment. This study investigated the adequate deployment time of baited remote underwater videos (BRUVs) for shark studies in the Cayman Islands and whether the use of photo-identification to recognise individuals (MaxIND) on BRUVs could im prove abundance estimates (in comparison to MaxN) and the analysis of shark behaviour. From 2015 to 2018, a total of 557 BRUVs were deployed with recording times ranging from 3.8 to 211.03 min. The results showed that (1) of the total number of individual sharks recorded on videos, 95% of individuals were recorded within the first 110 min (slight variations between species), (2) MaxIND values were 1.1-1.5 times greater than that of MaxN (ratios varying with species) and (3) time of first arrival (Tarrive) was similar for all recorded species but time spent in front of the camera's field of view (Tvisit) and activity levels (count of entries in camera's field of view) varied between species. The results provide key information to improve the localised monitoring of rare/endangered species and can inform conservation management.
- Continual learning for object classification: integrating AutoML for binary classification tasks within a modular dynamic architecturePublication . Turner, Daniel; Cardoso, Pedro; Rodrigues, JoaoFor humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current state-of-the-art methods for training machines to recognize sets of objects. The issue is that any modification to the DNN weights that were trained to classify an initial set of objects has the potential to seriously impair the network’s ability to make those initial classifications; this behaviour is referred to as catastrophic forgetting (CF). This paper presents a continual learning (CL) architecture that can deal with CF. The architecture is composed of two primary parts: (i) The feature extraction component, which is based on the ResNet50 backbone and (ii) the modular dynamic classification (MDC) component. The latter is made up of multiple sub-networks that gradually assemble themselves into a tree-like structure that reorganizes itself as it learns over time, so that each sub-network can operate independently. The MDC relies heavily on binary classification, and here the application of automated machine learning (AutoML) was introduced, where each binary classifier is tailored on-the-fly, and is/can be different from object to object. The strategy involves a calculated selection from a predefined list of model types and parameters, optimizing them for their respective tasks. Results demonstrate that we advanced the adaptability and performance of the network, emphasizing the transformative potential of AutoML in modular CL approaches. Tests on the CORe50 dataset showed accuracy results of 81.1%, which are above the state of the art for CL architectures.
- Coupled phantom cosmological model motivated by the warm inflationary paradigmPublication . Halder, Sudip; Pan, Supriya; Sá, Paulo; Saha, TapanIn this article, we investigate a coupled phantom dark-energy cosmological model in which the coupling term between a phantom scalar field with an exponential potential and a pressureless dark-matter fluid is motivated by the warm inflationary paradigm. Using methods of qualitative analysis of dynamical systems, complemented by numerical solutions of the evolution equations, we study the late-time behavior of our model. We show that contrary to the uncoupled scenario, the coupled phantom model admits accelerated scaling solutions. However, they do not correspond to a final state of the Universe’s evolution and, therefore, cannot be used to solve the cosmological coincidence problem. Furthermore, we show that, for certain coupling parameter values, the total equation-of-state parameter’s asymptotic behavior is significantly changed when compared to the uncoupled scenario, allowing for solutions less phantom even for steeper potentials of the phantom scalar field.