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Cost-effective building renovation strategies at the district level combining energy efficiency & renewables – investigation based on parametric calculations with generic districts
Get PDFInforme generado en el marco del Energy in Buildings and Communities Programme de la International Energy AgencyThis report aims to study cost-effective strategies to combine energy efficiency measures and renewable energy use in building renovation at the district level and to investigate factors influencing the choice of a cost-effective strategy. This is done through generic district assessments, where hypothetical, “generic” districts are generated to model typical conditions in various European countries.
For the generic districts, relevant variables were defined to carry out parametric assessments, applying and testing the methodology developed in IEA EBC Annex 75. The generic districts were generated and selected based on the typical conditions in each country, and the hypothetical nature of the assessment allowed for studying different starting conditions and renovation measures. It is, in particular, investigated to what extent there are synergies and trade-offs for combining energy efficiency measures and renewable energy measure
Subcritical Water and Conventional Extraction of Phenolic compounds from Onion Skin Waste: Implications in Diabetes Disease
Get PDFTrabajo presentado en: 19th European meeting on Supercritical Fluids (EMSF 2023), organized by the International Society for the Advancement of Supercritical Fluids, Budapest, 21-24 may, 2023Although extracts obtained by CE resulted to be more active than the SW extract in terms of enzyme inhibition,
the latter did not interfere with α-amylase activity, whose inhibition is associated with numerous side effects.
SW extraction has been proven to be a useful technology to obtain extracts from OSW with antidiabetic
properties because of its ability to inactivate enzymes involved in carbohydrates digestion.This work received financial support from PT national funds (FCT/MCTES, Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior) through the project UIDB/50006/2020, Agencia Estatal de Investigación for the grant number PID2020-116716RJ-I00/ AEI / 10.13039/501100011033. Ester Trigueros thanks European Union-NextGenerationEU, Ministry of Universities and Recovery, Transformation and Resilience Plan, for the postdoctoral contract through a call from the University of Burgos
Pharmaceuticals in Water: Risks to Aquatic Life and Remediation Strategies
No full textThis article belongs to the Special Issue "Feature Papers in Hydrobiology 2022–2023"The presence of pharmaceuticals in the aquatic environment presents a challenge to modern science. The most significant impact this can induce is the emergence of antibiotic resistance, which can lead to a global health emergency. It is important to note that the impact of pharmaceuticals in the aquatic environment is not limited to antibiotic resistance. Pharmaceuticals can also affect the behaviour and reproductive systems of aquatic organisms, with cascading effects on entire ecosystems. Numerous studies have reported the emergence of pharmaceuticals due to the uncontrolled disposal of polluted domestic, agricultural, and industrial wastewater in water bodies. This work discusses the potential of pharmaceuticals that on one hand are highly important for mankind, yet their non-judicious usage and disposal induce equally intriguing and problematic conditions to the health of aquatic systems. Pathways through which pharmaceutics can make their way into water bodies are discussed. Furthermore, the risk imposed by pharmaceuticals on aquatic life is also elaborated. The possible and pragmatic remediation methods through which pharmaceutical products can be treated are also discussed. Emphasis is placed on the potential of phytoremediation and advanced oxidative process, and the factors affecting the efficacy of these remediation methods are discussed.The authors want to acknowledge the funding received under GREENER and BIOSYSMO projects. The GREENER project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Grant Agreement No. 826312, while the BIOSYSMO project is funded by the European Union under the Grant Agreement No. 101060211
An experiment on animal re-identification from video
No full textIn the face of the global concern about climate change and endangered ecosystems, monitoring individual animals is of paramount importance. Computer vision methods for animal recognition and re-identification from video or image collections are a modern alternative to more traditional but intrusive methods such as tagging or branding. While there are many studies reporting results on various animal re-identification databases, there is a notable lack of comparative studies between different classification methods. In this paper we offer a comparison of 25 classification methods including linear, non-linear and ensemble models, as well as deep learning networks. Since the animal databases are vastly different in characteristics and difficulty, we propose an experimental protocol that can be applied to a chosen data collections. We use a publicly available database of five video clips, each containing multiple identities (9 to 27), where the animals are typically present as a group in each video frame. Our experiment involves five data representations: colour, shape, texture, and two feature spaces extracted by deep learning. In our experiments, simpler models (linear classifiers) and just colour feature space gave the best classification accuracy, demonstrating the importance of running a comparative study before resorting to complex, time-consuming, and potentially less robust methods.This work is supported by the UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning and Advanced Computing (AIMLAC), funded by grant EP/S023992/1. This work is also supported by the Junta de Castilla León under project BU055P20 (JCyL/FEDER, UE), and the Ministry of Science and Innovation under project PID2020-119894 GB-I00 co-financed through European Union FEDER funds. J.L. Garrido-Labrador is supported through Consejería de Educación of the Junta de Castilla y León and the European Social Fund through a pre-doctoral grant (EDU/875/2021). I. Ramos-Perez is supported by the predoctoral grant (BDNS 510149) awarded by the Universidad de Burgos, Spain. J.J. Rodríguez was supported by mobility grant PRX21/00638 of the Spanish Ministry of Universities
Integrative models of education for citizenship (Handbook)
No full textDesarrollar una ciudadanía activa es esencial para alcanzar una participación social bajo principios como el respeto mutuo y la no violencia, de acuerdo con los derechos humanos. Nuestra sociedad necesita formar personas con capacidad de decisión y pensamiento crítico para afrontar los problemas actuales. Este manual ofrece a los lectores una perspectiva global sobre qué son los modelos integrados de educación, así como una aproximación al concepto de ciudadanía activa, que incluye la defensa de los derechos humanos con tintes de inclusión y equidad, y su aplicación en el aula. Asimismo, contribuye a alcanzar el punto de partida para desarrollar alternativas innovadoras de educación con matices de aquellas competencias que nuestra sociedad actual demanda con fuerza.Este trabajo ha sido cofinanciado por el programa Erasmus de la Unión Europea
Dataset of the work "Boron nitride-reinforced porous aramid composites with enhanced mechanical performance and thermal conductivity"
No full textThe dataset contains all raw data of the work "Boron nitride-reinforced porous aramid composites with enhanced mechanical performance and thermal conductivity"The authors gratefully acknowledge the financial support provided by the Regional Government of Castilla y León (Junta de Castilla y León), the Ministry of Science and Innovation MICIN and the European Union NextGeneration EU/PRTR, and the Spanish Agencia Estatal de Investigación (State Research Agency) (PID2019-108583RJ-I00/AEI/10.13039/501100011033)
