27 results on '"Egea, José"'
Search Results
2. Product lifespan extension of technology products: Exploring perceptions, value-beliefs, motives and attitudes in American and Spanish consumers
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Armstrong Soule, Catherine Anne and Ortega Egea, José Manuel
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- 2024
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3. A comparison of interpolation methods to predict chill accumulation in a Mediterranean stone fruit production area (Región de Murcia, SE Spain)
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Gómez-Ramos, Inés, Caro, Manuel, López, Juan A., Ruiz, David, and Egea, Jose A.
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- 2024
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4. Production and characterization of silica materials from rice husk ash by different combustion processes
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Fernandes, Iara J., Moraes, Carlos A.M., Egea, José R.J., and Sousa, Vânia C.
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- 2024
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5. Climate change impacts on winter chill in Mediterranean temperate fruit orchards
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Fernandez, Eduardo, Mojahid, Hajar, Fadón, Erica, Rodrigo, Javier, Ruiz, David, Egea, Jose A., Ben Mimoun, Mehdi, Kodad, Ossama, El Yaacoubi, Adnane, Ghrab, Mohamed, Egea, José, Benmoussa, Haïfa, Borgini, Nadia, Elloumi, Olfa, and Luedeling, Eike
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- 2023
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6. Socially oriented anti-consumption
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García-de-Frutos, Nieves, primary and Ortega-Egea, José Manuel, additional
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- 2022
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7. Herpetic anterior uveitis following Pfizer–BioNTech coronavirus disease 2019 vaccine: two case reports
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Ortiz-Egea, José Manuel, Sánchez, Cristina Gómez, López-Jiménez, Andrés, and Navarro, Olga Diego
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- 2022
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8. Effect of Storage Conditions on the Stability of Polyphenols of Apple and Strawberry Purees Produced at Industrial Scale by Different Processing Techniques
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Hero España, Salazar-Orbea, Gabriela L. [0000-0003-0228-3617], García-Villalba, Rocío [0000-0003-1883-1673], Egea, José A. [0000-0002-7821-1604], Tomás Barberán, Francisco [0000-0002-0790-1739], Salazar-Orbea, Gabriela L., García-Villalba, Rocío, Bernal, María J., Hernández, Alberto, Egea, José A., Tomás Barberán, Francisco, Sánchez-Siles, Luis M., Hero España, Salazar-Orbea, Gabriela L. [0000-0003-0228-3617], García-Villalba, Rocío [0000-0003-1883-1673], Egea, José A. [0000-0002-7821-1604], Tomás Barberán, Francisco [0000-0002-0790-1739], Salazar-Orbea, Gabriela L., García-Villalba, Rocío, Bernal, María J., Hernández, Alberto, Egea, José A., Tomás Barberán, Francisco, and Sánchez-Siles, Luis M.
- Abstract
During a food product’s life, storage conditions affect its composition of nutrients, bioactive compounds, and sensory attributes. In this research, strawberry and apple purees were selected as a model to examine how the storage of various purees industrially produced with different technologies affect the bioactive phenolic compounds, color, and sensory attributes. Specifically, fruit products processed on an industrial scale by different technologies including freezing, thermal treatment (mild and standard), and high-pressure processing were studied, as well as storage for up to 12 months at −20, 4, and 24 °C. In strawberry puree, storage conditions had a stronger impact on phenolic compound levels, particularly on anthocyanins, whereas in apple puree, the initial processing techniques exerted a greater influence than storage conditions, mainly caused by the hot or cold crushing processes. In general, proanthocyanidins were the major phenolic group and the most stable during storage, while anthocyanins were the group most affected by both processing and storage. Apple flavonols and dihydrochalcones were quite stable, while strawberry ellagitannins suffered higher degradations during storage. Through our analysis, it is found that during storage, the stability of polyphenols in each fruit is different, and processing and storage can be either detrimental or even beneficial. The selection of the ideal storage conditions (time and temperature) is a key factor to maintaining the polyphenol content in sensitive fruits such as strawberries. However, storage conditions are in some cases more important to minimizing the polyphenol losses than how the product is processed
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- 2023
9. Supplementary materials. Effect of storage conditions on the stability of polyphenols of apple and strawberry purees produced at industrial scale by different processing techniques
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Salazar-Orbea, Gabriela L. [0000-0003-0228-3617], García-Villalba, Rocío [0000-0003-1883-1673], Egea, José A. [0000-0002-7821-1604], Tomás Barberán, Francisco [0000-0002-0790-1739], Tomás Barberán, Francisco ( fatomas@cebas.csic.es ), Salazar-Orbea, Gabriela L., García-Villalba, Rocío, Bernal, María J., Hernández, Alberto, Egea, José A., Tomás Barberán, Francisco, Sánchez-Siles, Luis M., Salazar-Orbea, Gabriela L. [0000-0003-0228-3617], García-Villalba, Rocío [0000-0003-1883-1673], Egea, José A. [0000-0002-7821-1604], Tomás Barberán, Francisco [0000-0002-0790-1739], Tomás Barberán, Francisco ( fatomas@cebas.csic.es ), Salazar-Orbea, Gabriela L., García-Villalba, Rocío, Bernal, María J., Hernández, Alberto, Egea, José A., Tomás Barberán, Francisco, and Sánchez-Siles, Luis M.
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- 2023
10. Bioactive Compounds in Plasma as a Function of Sex and Sweetener Resulting from a Maqui-Lemon Beverage Consumption Using Statistical and Machine Learning Techniques
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Ministerio de Economía y Empresa (España), Agencia Estatal de Investigación (España), Ministerio de Ciencia e Innovación (España), Hernández-Prieto, Diego [0000-0002-6118-4822], Fernández, Pablo S. [0000-0002-4273-7268], Agulló, Vicente [0000-0002-6846-6072], Garcia-Viguera, Cristina [0000-0002-4751-3917], Egea, José A. [0000-0002-7821-1604], Hernández-Prieto, Diego, Fernández, Pablo S., Agulló, Vicente, Garcia-Viguera, Cristina, Egea, José A., Ministerio de Economía y Empresa (España), Agencia Estatal de Investigación (España), Ministerio de Ciencia e Innovación (España), Hernández-Prieto, Diego [0000-0002-6118-4822], Fernández, Pablo S. [0000-0002-4273-7268], Agulló, Vicente [0000-0002-6846-6072], Garcia-Viguera, Cristina [0000-0002-4751-3917], Egea, José A. [0000-0002-7821-1604], Hernández-Prieto, Diego, Fernández, Pablo S., Agulló, Vicente, Garcia-Viguera, Cristina, and Egea, José A.
- Abstract
The present study analyses the effect of a beverage composed of citrus and maqui (Aristotelia chilensis) with different sweeteners on male and female consumers. Beverages were designed and tested (140 volunteers) as a source of polyphenols, in a previous work. Plasma samples were taken before and after two months of daily intake. Samples were measured for bioactive-compound levels with metabolomics techniques, and the resulting data were analysed with advanced versions of ANOVA and clustering analysis, to describe the effects of sex and sweetener factors on bioactive compounds. To improve the results, machine learning techniques were applied to perform feature selection and data imputation. The results reflect a series of compounds which are more regulated for men, such as caffeic acid or 3,4-dihydroxyphenylacetic acid, and for women, trans ferulic acid (TFA) or naringenin glucuronide. Regulations are also observed with sweeteners, such as TFA with stevia in women, or vanillic acid with sucrose in men. These results show that there is a differential regulation of these two families of polyphenols by sex, and that this is influenced by sweeteners
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- 2023
11. Application of High Hydrostatic Pressure in fresh purple smoothie: Microbial inactivation kinetic modelling and qualitative studies
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Ministerio de Ciencia e Innovación (España), European Commission, Gobierno de Panamá, Fundación Séneca, Egea, José A. [0000-0002-7821-1604], González-Tejedor, Gerardo, Garre, Alberto, Egea, José A., Aznar, A., Artés-Hernández, Francisco, Fernández, Pablo S., Ministerio de Ciencia e Innovación (España), European Commission, Gobierno de Panamá, Fundación Séneca, Egea, José A. [0000-0002-7821-1604], González-Tejedor, Gerardo, Garre, Alberto, Egea, José A., Aznar, A., Artés-Hernández, Francisco, and Fernández, Pablo S.
- Abstract
The inactivation kinetics of Listeria monocytogenes during High Hydrostatic Pressure (HHP) treatments was studied in a purple smoothie based of fresh fruit and vegetables. Pressure intensity studied was 300, 350, 400 and 450 MPa. Untreated samples were used as control. Furthermore, the effects on quality attributes (sensory, total soluble solids content, colour, titratable acidity, pH, vitamin C and total phenolics content) were also monitored. Microbial inactivation was modelled as a function of the HHP intensity using the Geeraerd model. Shoulder and tail effects were observed only for the 300 MPa pressure assayed, supporting a multiple hit kinetic inactivation of critical factors. Increasing the HHP intensity resulted in a faster inactivation with tailing. A strong positive correlation was observed between the pressure level and the inactivation rate (k). Hence, a linear model was used to describe the relationship between both variables. Nevertheless, further data are required to confirm this secondary model. Quality was mostly unaffected by the HHP treatments, except for the vitamin C content, which reported reductions of 26 and 21% after 300 and 350 MPa, respectively. In conclusion, HHP can be a viable technology for processing fruit and vegetable-based smoothies to preserve quality and safety. A pressure of 400 MPa is advisable to ensure an efficient microbial inactivation with the best sensory and nutritional quality retention
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- 2023
12. Retinal imaging study diagnoses in COVID-19: a case report
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Ortiz-Egea, José M., Ruiz-Medrano, Jorge, and Ruiz-Moreno, José M.
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- 2021
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13. How do controversial foreign country images affect consumers?
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Ortega‐Egea, José Manuel, primary and García‐de‐Frutos, Nieves, additional
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- 2023
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14. Climate change impacts on winter chill in Mediterranean temperate fruit orchards
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Projekt DEAL, European Commission, Federal Ministry of Education and Research (Germany), Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Ministère de l’Education Nationale, de la Formation Professionnelle, de l'Enseignement Supérieur et de la Recherche Scientifique (Maroc), Ministère de l’Enseignement Supérieur et de la Recherche Scientifique (Tunisie), Fernandez, Eduardo [0000-0002-6949-9685], Ruiz, David [0000-0002-2659-8210], Egea, José A. [0000-0002-7821-1604], Egea, José [0000-0003-1438-0561], Fernandez, Eduardo, Mojahid, Hajar, Fadón Adrián, Erica, Rodrigo García, Javier, Ruiz, David, Egea, José A., Ben Mimoun, Mehdi, Kodad, Ossama, El Yaacoubi, Adnane, Ghrab, Mohamed, Egea, José, Benmoussa, Haïfa, Borgini, Nadia, Elloumi, Olfa, Luedeling, Eike, Projekt DEAL, European Commission, Federal Ministry of Education and Research (Germany), Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Ministère de l’Education Nationale, de la Formation Professionnelle, de l'Enseignement Supérieur et de la Recherche Scientifique (Maroc), Ministère de l’Enseignement Supérieur et de la Recherche Scientifique (Tunisie), Fernandez, Eduardo [0000-0002-6949-9685], Ruiz, David [0000-0002-2659-8210], Egea, José A. [0000-0002-7821-1604], Egea, José [0000-0003-1438-0561], Fernandez, Eduardo, Mojahid, Hajar, Fadón Adrián, Erica, Rodrigo García, Javier, Ruiz, David, Egea, José A., Ben Mimoun, Mehdi, Kodad, Ossama, El Yaacoubi, Adnane, Ghrab, Mohamed, Egea, José, Benmoussa, Haïfa, Borgini, Nadia, Elloumi, Olfa, and Luedeling, Eike
- Abstract
Temperate trees require low temperatures during winter and subsequent warm conditions in early spring to flower and eventually bear fruit. Many parts of the Mediterranean region feature winters with low and sometimes marginal chill accumulation. To assess historic and future agroclimatic conditions for cultivating temperate trees (including almonds, pistachios, apricots, sweet cherries and apples), we mapped winter chill throughout this important growing region. We used on-site weather records (1974–2020) to calibrate a weather generator and produced data for historic and future scenarios. To broaden our analysis, we spatially interpolated chill for the whole Mediterranean basin. We supplemented our simulation outcomes by collecting expert knowledge (from farmers and researchers) regarding observed climate change impacts on temperate orchards as well as future risks and concerns generated by climate change. Results showed that northern African growing regions have experienced major chill losses, a likely cause of the irregular and delayed bloom highlighted by experts. The same regions, together with southern Europe, may lose up to 30 Chill Portions by 2050 under a moderate warming scenario. For the future, experts foresee increasing risk of spring frost in early-blooming cultivars, exacerbated bloom-related problems and increasing occurrence of heat waves. Our results provide evidence of likely climate change impacts on temperate orchards. Expert knowledge proved instrumental in interpreting the simulation results as well as in orienting climate change adaptation strategies. The results we present are useful for farmers and orchard managers planning new plantings, as well as for researchers and policy makers developing strategies to adapt fruit orchards to the impacts of climate change
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- 2022
15. Supplementary materials for ‘Climate change impacts on winter chill in Mediterranean temperate fruit orchards’
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European Commission, Fernandez, Eduardo [0000-0002-6949-9685], Ruiz, David [0000-0002-2659-8210], Egea, José A. [0000-0002-7821-1604], Egea, José [0000-0003-1438-0561], Fernández, Eduardo [eduardo.fernandez.c@pucv.cl], Fernandez, Eduardo, Mojahid, Hajar, Fadón Adrián, Erica, Rodrigo García, Javier, Ruiz, David, Egea, José A., Ben Mimoun, Mehdi, Kodad, Ossama, El Yaacoubi, Adnane, Ghrab, Mohamed, Egea, José, Benmoussa, Haïfa, Borgini, Nadia, Elloumi, Olfa, Luedeling, Eike, European Commission, Fernandez, Eduardo [0000-0002-6949-9685], Ruiz, David [0000-0002-2659-8210], Egea, José A. [0000-0002-7821-1604], Egea, José [0000-0003-1438-0561], Fernández, Eduardo [eduardo.fernandez.c@pucv.cl], Fernandez, Eduardo, Mojahid, Hajar, Fadón Adrián, Erica, Rodrigo García, Javier, Ruiz, David, Egea, José A., Ben Mimoun, Mehdi, Kodad, Ossama, El Yaacoubi, Adnane, Ghrab, Mohamed, Egea, José, Benmoussa, Haïfa, Borgini, Nadia, Elloumi, Olfa, and Luedeling, Eike
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In this document, we provide supplementary materials for the work ‘Climate change impacts on winter chill in Mediterranean temperate fruit orchards’ by Eduardo Fernandez and co-authors. The study is published in the journal Regional Environmental Change under the doi: 10.1007/s10113-022-02006-x. We conducted this work in collaboration with researchers from northern and southern Spain, Tunisia, Morocco and Germany under the umbrella of an international project (AdaMedOr) funded by the Partnership for Research and Innovation in the Mediterranean Area (PRIMA). Compared to previous similar studies, we provide now an analysis that combines the spatial interpolation of winter chill accumulation in the Mediterranean region under future scenarios with expert knowledge regarding the impacts of climate change on temperate orchards as well as future concerns of farmers cultivating temperate species. Our approach allowed us to frame and contextualize the results of our chill estimations, potentially contributing to the development of management strategies to adapt Mediterranean orchards to future climate conditions. We offer figures that were not included in the main manuscript, as well as additional information about the weather stations used for the analysis.
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- 2022
16. Agroclimatic Metrics for the Main Stone Fruit Producing Areas in Spain in Current and Future Climate Change Scenarios: Implications From an Adaptive Point of View
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Ministerio de Agricultura, Pesca y Alimentación (España), European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Egea, José A., Caro, Manuel, García-Bruntón, Jesús, Gambín, Jesús, Egea, José, Ruiz, David, Ministerio de Agricultura, Pesca y Alimentación (España), European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Egea, José A., Caro, Manuel, García-Bruntón, Jesús, Gambín, Jesús, Egea, José, and Ruiz, David
- Abstract
Stone fruit production has enormous economic importance in Spain. Cultivation locations for these fruit species (i.e., peach, apricot, plum, and sweet cherry) cover wide and climatically diverse geographical areas within the country. Climate change is already producing an increase in average temperatures with special intensity in certain areas like the Mediterranean ones. These changes lead to a decrease in the accumulated chill, which can have a profound impact on the phenology of Prunus species like stone fruits due to, e.g., difficulties to cover the chilling requirements to break endodormancy, the occurrence of late frost events, or abnormal early high temperatures. All these factors can severely affect fruit production and quality and therefore provoke very negative consequences from the socio-economic point of view in the incumbent regions. Thus, characterization of current cultivation areas in terms of agroclimatic variables (e.g., chill and heat accumulation and probabilities of frost and early abnormal heat events), based on data from 270 weather stations for the past 20 years, is carried out in this work to produce an informative picture of the current situation. Besides, future climatic projections from different global climate models (data retrieved from the Meteorological State Agency of Spain—AEMET) up to 2065 for two Representative Concentration Pathway scenarios (i.e., RCP4.5 and RCP8.5) are also analyzed. Using the current situation as a baseline and considering the future scenarios, information on the current and future adaptive suitability of the different species/cultivars to the different growing areas can be inferred. This information could be the basis of a decision support tool to help the different stakeholders to take optimal decisions regarding current and future stone fruit or other temperate species cultivation in Spain.
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- 2022
17. ‘Florida’ and ‘Alaska’: Two New Self-compatible Soft-shelled Almonds from CEBAS-CSIC
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Dicenta, Federico, primary, Cremades, Teresa, additional, López-Alcolea, Jesús, additional, Rubio, Manuel, additional, Martínez-García, Pedro José, additional, Sánchez-Pérez, Raquel, additional, Martínez-Gómez, Pedro, additional, and Egea, José, additional
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- 2023
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18. Differences due to sex and seetener on the boavailability of (Poly)phenols in urine samples: a machine learning approach
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Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Hernández-Prieto, Diego [0000-0002-6118-4822], Hernández-Prieto, Diego, Garre, Alberto, Agulló, Vicente, García-Viguera, Cristina, Egea, José A., Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Hernández-Prieto, Diego [0000-0002-6118-4822], Hernández-Prieto, Diego, Garre, Alberto, Agulló, Vicente, García-Viguera, Cristina, and Egea, José A.
- Abstract
Metabolic diseases have been related to the overdrinking of high-sugar content beverages. As a result, the demand for alternative formulations based on plant-based ingredients with health-promoting properties has increased during the last few years. Nonetheless, the design and production of effective formulations requires understanding the bioavailability of these compounds. For this purpose, a two-month longitudinal trial with 140 volunteers was conducted to measure the beneficial effects of a maqui–citrus beverage, rich in (poly)phenols. From data obtained by quantifying metabolites present in urine samples, biostatistical and machine learning (data imputation, feature selection, and clustering) methods were applied to assess whether a volunteer’s sex and the sweetener added to the beverage (sucrose, sucralose, or stevia) affected the bioavailability of (poly)phenol metabolites. Several metabolites have been described as being differentially influenced: 3,4-dihydroxyphenylacetic acid and naringenin with its derivatives were positively influenced by stevia and men, while eriodictyol sulfate and homoeridictyol glucunoride concentrations were enhanced with stevia and women. By examining groups of volunteers created by clustering analysis, patterns in metabolites’ bioavailability distribution as a function of sex and/or sweeteners (or even due to an uncontrolled factor) were also discovered. These results underline the potential of stevia as a (poly)phenol bioavailability enhancer. Furthermore, they also evidence sex affects the bioavailability of (poly)phenols, pointing at a sex-dependent metabolic pathway regulation.
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- 2023
19. The Effect of Silver Nanoparticle Addition on Micropropagation of Apricot Cultivars (Prunus armeniaca L.) in Semisolid and Liquid Media
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Gobierno de la Región de Murcia, Fundación Séneca, European Commission, Ministerio de Educación y Formación Profesional (España), Russian Science Foundation, Pérez-Caselles, Cristian [0000-0002-9068-2476], Pérez-Caselles, Cristian, Burgos Ortiz, Lorenzo, Sánchez-Balibrea, Inmaculada, Egea, José A., Faize, Lydia, Martín-Valmaseda, Marina, Bogdanchikova, Nina, Pestryakov, Alexey, Alburquerque, Nuria, Gobierno de la Región de Murcia, Fundación Séneca, European Commission, Ministerio de Educación y Formación Profesional (España), Russian Science Foundation, Pérez-Caselles, Cristian [0000-0002-9068-2476], Pérez-Caselles, Cristian, Burgos Ortiz, Lorenzo, Sánchez-Balibrea, Inmaculada, Egea, José A., Faize, Lydia, Martín-Valmaseda, Marina, Bogdanchikova, Nina, Pestryakov, Alexey, and Alburquerque, Nuria
- Abstract
Silver nanoparticles (AgNPs) are novel compounds used as antimicrobial and antiviral agents. In addition, AgNPs have been used to improve the growth of different plants, as well as the in vitro multiplication of plant material. In this work the effect of AgNPs on in vitro growth of ‘Canino’ and ‘Mirlo Rojo’ cultivars, as well as the leaf ion composition, are studied. Different concentrations of AgNPs (0, 25, 50, 75 and 100 mg L−1) were added to two culture systems: semisolid medium with agar (SSM) in jars and liquid medium in temporary immersion system (TIS). Proliferation (number of shoots), shoot length, productivity (number of shoot × average length), leaf surface, fresh and dry weight were measured. Additionally, the silver and other ion accumulation in the leaves were evaluated by inductively coupled plasma optical emission spectroscopy (ICP-OES) analysis. The productivity of ‘Canino’ and ‘Mirlo Rojo’ decreased when increasing the concentration of AgNPs in the semisolid medium. However, the use of AgNPs in the TIS improved the proliferation and productivity of ‘Canino’ and Mirlo Rojo’, increasing biomass production, and the concentration of nutrients in the plants, although these effects are genotype-dependent. TISs are the best system for introducing silver into shoots, the optimum concentration being 50 mg L−1 for ‘Canino’ and 75 mg L−1 for ‘Mirlo Rojo’. Principal component analysis, considering all the analyzed ions along the treatments, separates samples in two clear groups related to the culture system used. The use of bioreactors with a liquid medium has improved the productivity of ‘Canino’ and ‘Mirlo Rojo’ in the proliferation stage, avoiding hyperhydration and other disorders. The amount of metallic silver that penetrates apricot plant tissues depends on the culture system, cultivar and concentration of AgNPs added to the culture medium. Silver ion accumulation measured in the shoots grown in the TIS was higher than in shoots micropropagated in a semis
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- 2023
20. Dynamic Modelling and Simulation of Food Systems: Recent Trends and Applications
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Ministerio de Ciencia e Innovación (España), European Commission, Ministerio de Agricultura, Pesca y Alimentación (España), Ministerio de Economía y Competitividad (España), Egea, José A., García, Miriam R., Vilas Fernández, Carlos, Ministerio de Ciencia e Innovación (España), European Commission, Ministerio de Agricultura, Pesca y Alimentación (España), Ministerio de Economía y Competitividad (España), Egea, José A., García, Miriam R., and Vilas Fernández, Carlos
- Abstract
Several factors influence consumers’ choices of food products. While price remains the main criterion, quality, pleasure, convenience, and health are also important driving factors in food market evolution. Food enterprises are making significant efforts to manufacture products that meet consumers’ demands without compromising on safety standards. Additionally, the food industry also aims to improve the efficiency of transformation and conservation processes by minimizing energy consumption, process duration, and waste generation. However, foods are highly complex systems in which: (i) non-linear dynamics and interactions among different temporal and spatial scales must be considered; (ii) a wide range of physical phenomena (such as evaporation, mechanical changes, thawing, energy/mass transport, and color changes) occur; (iii) different food matrices (such as meat, vegetables, cereal, milk, and juices) with different microstructures and properties are involved; and (iv) the number of quality and safety indicators (such as bacteria, total volatile basic nitrogen, color, texture, odor, and sensory characteristics) is substantial. Mathematical modeling and simulation are key elements that allow us to gain a deeper understanding of food processes and enable the use of tools such as optimization and real-time control to improve their efficiency. This special issue aims to gather research on the development of dynamic mathematical models that describe the relevant factors in food processes from the perspectives of food safety (chemical or microbiological), food quality (organoleptic or nutritional), or resource consumption. Additionally, the development of model-based tools to improve food processes is also considered. This includes decision-making and optimization tools, the characterization of uncertainty/variability in model predictions, model simulation techniques, software sensors, and software development. The contributions published in this Special Issue can be gr
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- 2023
21. Dynamic Modelling and Simulation of Food Systems
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Vilas Fernández, Carlos, García, Miriam R., Egea, José A., Vilas Fernández, Carlos, García, Miriam R., and Egea, José A.
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This is a reprint of articles from the Special Issue published online in the open access journal Foods (ISSN 2304-8158)
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- 2023
22. Climate change impacts on winter chill in Mediterranean temperate fruit orchards
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Fernandez, Eduardo, primary, Mojahid, Hajar, additional, Fadón, Erica, additional, Rodrigo, Javier, additional, Ruiz, David, additional, Egea, Jose A., additional, Ben Mimoun, Mehdi, additional, Kodad, Ossama, additional, El Yaacoubi, Adnane, additional, Ghrab, Mohamed, additional, Egea, José, additional, Benmoussa, Haïfa, additional, Borgini, Nadia, additional, Elloumi, Olfa, additional, and Luedeling, Eike, additional
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- 2022
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23. Risk of Extreme Early Frosts in Almond
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Guillamón, Jesús Guillamón, primary, Egea, José, additional, Mañas, Fernando, additional, Egea, Jose A., additional, and Dicenta, Federico, additional
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- 2022
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24. Construcción evolutiva de redes de neuronas con entrenamiento parcial
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Cerezo Egea, José, Ramos Criado, Pablo, and Manrique Gamo, Daniel
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Informática - Abstract
Las redes neuronales profundas requieren muchos datos de entrenamiento para aprender los complejos patrones necesarios para hacer predicciones con precisión. Además, requieren mucha potencia de cálculo para entrenarse. Estos motivos, junto a la cantidad de hiperparámetros a ajustar a la hora de construir redes neuronales profundas, hacen que sea una tarea compleja. Una opción a la hora de abordar el problema de la construcción de redes neuronales profundas son las técnicas evolutivas, pues son capaces de explorar las diferentes configuraciones de sus hiperparámetros. En concreto, se plantea un sistema de optimización jerárquica GGGP-BP, que consiste en un módulo de programación genética guiada por gramáticas (GGGP) que busca la mejor arquitectura posible para el problema dado y un módulo de retropropagación del gradiente del error (BP) encargado de entrenar cada arquitectura. El sistema de optimización jerárquica está enfocado en la obtención, de manera automática, de la arquitectura neuronal óptima para resolver un problema. Sin embargo, esta aproximación requiere de grandes recursos computacionales. El objetivo de este trabajo fin de máster es crear un sistema de optimización jerárquica GGGP-BP concurrente que utilice Co-Optimización Endosimbiótica (ECO), que modifica la manera de interacción entre el proceso evolutivo y el de aprendizaje, para construir redes neuronales automáticamente, así como realizar una comparativa con sistemas jerárquicos GGGP-BP secuenciales, sin ECO. Además, para solventar en cierta medida el coste de entrenamiento de las redes de neuronas representadas por los individuos de la población GGGP, se emplea entrenamiento parcial, que se fundamenta en detener el algoritmo de aprendizaje de redes de neuronas antes de alcanzar la condición de parada. Con este objetivo, se pretende analizar si el sistema concurrente es capaz de reducir los recursos computacionales requeridos por este tipo de sistemas a la vez que mantiene unos resultados similares. Se han realizado pruebas que muestran que el sistema concurrente (con ECO) es capaz de igualar la calidad de la solución obtenida por el sistema secuencial, reduciendo considerablemente el coste computacional, es decir, el número de épocas de entrenamiento BP necesarias. Además, se observa que no es necesario completar el proceso de aprendizaje de los individuos de la población una vez finalizado el proceso evolutivo en el sistema concurrente, porque se incrementa considerablemente el coste computacional y la mejora de la calidad de las soluciones que se obtiene es ínfima. Así mismo, se analizan las arquitecturas neuronales obtenidas como solución por parte de los sistemas evolutivos, observando que se mantiene un patrón de diseño en el que las primeras capas ocultas presentan más neuronas que las últimas. El sistema de optimización jerárquica con ECO planteado en este trabajo resulta ser un método prometedor para la construcción automática de redes neuronales, lo que abre otras posibles líneas de trabajo como la aplicación de ECO al campo de la visión artificial, utilizándolo para la construcción de redes neuronales convolucionales.---ABSTRACT---Deep neural networks require a lot of training data to learn the complex patterns needed to make accurate predictions. They also require a lot of computational power to train. These reasons, together with the number of hyperparameters to be tuned when constructing deep neural networks, make it a complex task. One option for tackling the problem of constructing deep neural networks is evolutionary techniques, as they are capable of exploring the different configurations of their hyperparameters. Specifically, a GGGP-BP hierarchical optimisation system is proposed, which consists of a grammar-guided genetic programming (GGGP) module that searches for the best possible architecture for the given problem and an error gradient backpropagation (BP) module in charge of training each architecture. The hierarchical optimisation system is focused on automatically obtaining the optimal neural architecture to solve a problem. However, this approach requires large computational resources. The aim of this master’s thesis is to create a concurrent hierarchical GGGP-BP optimisation system that uses Endosymbiotic Co-Optimization (ECO), which modifies the interaction between the evolutionary process and the learning process, to build neural networks automatically, as well as to make a comparison with sequential hierarchical GGGP-BP systems without ECO. In addition, in order to solve to some extent the training cost of the neural networks represented by the individuals of the GGGP population, partial training is used, which is based on stopping the learning algorithm of neural networks before reaching the stop condition. With this objective, the aim is to analyse whether the concurrent system is able to reduce the computational resources required by this type of system while maintaining similar results. Tests have been carried out that show that the concurrent system (with ECO) is able to match the quality of the solution obtained by the sequential system, considerably reducing the computational cost, i.e. the number of BP training epochs required. Furthermore, it is observed that it is not necessary to complete the learning process of the individuals in the population once the evolutionary process in the concurrent system has been completed, because the computational cost is considerably increased and the improvement in the quality of the solutions obtained is negligible. Likewise, the neural architectures obtained as a solution by the evolutionary systems are analysed, observing that a design pattern is maintained in which the first hidden layers have more neurons than the last ones. The hierarchical optimisation system with ECO proposed in this work turns out to be a promising method for the automatic construction of neural networks, which opens up other possible lines of work such as the application of ECO to the field of artificial vision, using it for the construction of convolutional neural networks.
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- 2022
25. Training in tools to develop quantitative risk assessment of fresh produce using water reuse systems in Mediterranean production
- Author
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European Food Safety Authority, Papadopoulos, Theofilos, Allende, Ana, Egea, José A., Palop, Alfredo, Fernández, Pablo S., European Food Safety Authority, Papadopoulos, Theofilos, Allende, Ana, Egea, José A., Palop, Alfredo, and Fernández, Pablo S.
- Abstract
Water resources are increasingly coming under pressure specially around the Mediterranean area, leading to water scarcity and a deterioration in water quality. The use of treated wastewater represents an alternative source to enhance the demand for irrigation water. Water reuse in combination with the promotion of the use of water-efficient technologies in industry and water-saving irrigation techniques could lead to good qualitative and quantitative water status for surface and ground water bodies. Nevertheless, food-borne outbreaks linked to fresh produce irrigated with partially or untreated wastewater caused by bacteria, parasites and enteropathogenic viruses have been widely reported. In the absence of solid scientific understanding of the actual risks involved, consumers are likely less receptive to buy leafy greens irrigated with treated wastewater, also known as reclaimed water. In this study, we aimed to assess the microbiological risks of leafy green vegetables irrigated with treated wastewater in Spain using Norovirus as a model organism to facilitate the development of risk management strategies. A conceptual exposure model was designed to describe the virus fate and transport from the Wastewater treatment plant (WWTP) secondary effluent to the consumers' fork. This study is an example of the use of reclaimed water for irrigation of commercial fields producing leafy greens in the south-east of Spain and tries to assess potential microbiological risks to the consumers by establishing their safety.
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- 2022
26. Agroclimatic Metrics for the Main Stone Fruit Producing Areas in Spain in Current and Future Climate Change Scenarios: Implications From an Adaptive Point of View
- Author
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Egea, Jose A., primary, Caro, Manuel, additional, García-Brunton, Jesús, additional, Gambín, Jesús, additional, Egea, José, additional, and Ruiz, David, additional
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- 2022
- Full Text
- View/download PDF
27. Effectiveness of digital interventions to reduce school‐age adolescent sexual risks: A systematic review.
- Author
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Aguilar‐Quesada, Ana, Sierra‐Yagüe, Alba, González‐Cano‐Caballero, María, Zafra‐Egea, José Antonio, and Lima‐Serrano, Marta
- Subjects
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YOUNG adults , *UNSAFE sex , *HUMAN sexuality , *RISK-taking behavior , *AT-risk behavior - Abstract
Introduction Design Method Results Discussion Conclusion Clinical relevance The increase in risky sexual behaviors among adolescent students has sparked alarm and has become an area of research interest. As adolescents prioritize confidentiality and accessibility, digital interventions are becoming increasingly relevant in sex education. We therefore posed the following research question: Are digital application interventions effective to prevent risky sexual behaviors in school adolescents?A systematic peer review was conducted between January and December 2023 in five databases (PubMed, Web of Science, Scopus, EMBASE, and PsycINFO) without restricting for language or year of publication.We included randomized control trials or quasi‐experimental studies that measured the effectiveness of interventions targeting young people aged 10–19 years or their parents and developed in a school setting. Interventions aimed at young people with intellectual disabilities, learning difficulties, or any disease requiring a specific intervention were excluded.The search ultimately yielded 27 studies covering a total of 18 digital interventions that demonstrated positive effects, not maintained over time, on knowledge, attitudes, and behaviors, although the latter to a lesser extent.We have found very interesting digital interventions with effects, among others, on knowledge, attitudes, and contraceptive use in adolescents. In general, digital interventions have positive effects on knowledge and attitudes, but it is more difficult to modify behaviors with strictly digital interventions or combined with complementary face‐to‐face sessions or group class activities.We thus believe that digital interventions are adequate to reduce adolescent sexual risk behaviors, and our systematic review facilitates the implementation of these interventions by sharing existing digital interventions that have had positive effects, as well as the main characteristics a digital intervention should possess to reduce sexually risky behaviors in adolescents.Digital interventions with adolescents improve sexual behaviors and can be a valuable resource in education on this topic due to their accessibility and confidentiality, two key points for young people. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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