k-TVT: a flexible and effective method for early depression detection

The increasing use of social media allows the extraction of valuable information to early prevent some risks. Such is the case of the use of blogs to early detect people with signs of depression. In order to address this problem, we describe k-temporal variation of terms (k-TVT), a method which uses the variation of vocabulary along the different time steps as concept space to represent the documents. An interesting particularity of this approach is the possibility of setting a parameter (the k value) depending on the urgency (earliness) level required to detect the risky (depressed) cases. Results on the early detection of depression data set from eRisk 2017 seem to confirm the robustness of k-TVT for different urgency levels using SVM as classifier. Besides, some recent results on an extension of this collection would confirm the effectiveness of k-TVT as one of the state-of-the-art methods for early depression detection.XVI Workshop Bases de Datos y Minería de Datos.Red de Universidades con Carreras en Informátic

Special Bioactivities of Phenolics from Acacia dealbata L. with Potential for Dementia, Diabetes and Antimicrobial Treatments

Some diseases still need better therapeutic approaches, including the prevention of development. Natural resources are investigated with this purpose; among them, we decided to use an invasive plant as a main strategy. This will help in two ways: screening new compounds in flowers prevents the plant from causing widespread damage by controlling the dissemination and also obtains crude material for further applications. In the present study, flower extracts from Acacia dealbata Link harvested in Portugal were studied during three stages of flowering. Phenolic compounds were evaluated using HPLC/DAD and the total phenolics as the total flavonoids content was determined. The bioactivities screened were antioxidant potential, inhibitory activities of some enzymes (acetylcholinesterase, lipase and -glucosidase) and, to complete the screening, the inhibition of microbial growth was determined against Gram-negative and Gram-positive bacteria, as well as for yeasts. The data obtained suggested that the hydroethanolic extracts gave good results for all these biological activities and varied according to the maturation status of the flowers, with the early stage being the most active, which can be related to the chalcones content. This new approach will lead to the possible control of the invasive plant and also future perspective research for therapeutic purposesinfo:eu-repo/semantics/publishedVersio

k-TVT: a flexible and effective method for early depression detection

The increasing use of social media allows the extraction of valuable information to early prevent some risks. Such is the case of the use of blogs to early detect people with signs of depression. In order to address this problem, we describe k-temporal variation of terms (k-TVT), a method which uses the variation of vocabulary along the different time steps as concept space to represent the documents. An interesting particularity of this approach is the possibility of setting a parameter (the k value) depending on the urgency (earliness) level required to detect the risky (depressed) cases. Results on the early detection of depression data set from eRisk 2017 seem to confirm the robustness of k-TVT for different urgency levels using SVM as classifier. Besides, some recent results on an extension of this collection would confirm the effectiveness of k-TVT as one of the state-of-the-art methods for early depression detection.XVI Workshop Bases de Datos y Minería de Datos.Red de Universidades con Carreras en Informátic

Minería de textos y de la web

Este artículo describe, brevemente, las tareas de investigación y desarrollo que se están llevando a cabo en la línea de investigación “Minería de Textos y de la Web” en el marco del proyecto “Aprendizaje automático y toma de decisiones en sistemas inteligentes para la Web”. La linea aborda diversas áreas vinculadas a la ingeniería del lenguaje natural, como por ejemplo el Procesamiento del Lenguaje Natural (PLN), la Lingüística Computacional, la Minería de Textos, la Minería de la Web y la recuperación de información de la Web. En el contexto de este proyecto por lo tanto, esta línea se centra en todos los problemas vinculados con el desarrollo de herramientas inteligentes para la extracción, análisis y validación de contenido Web, que incluyen: representación de documentos y usuarios de la Web, medidas de calidad de información para el contenido Web, técnicas abiertas de extracción de información para la Web, algoritmos de categorización supervisados, semi-supervisados y no supervisados y caracterización de usuarios, entre otros.Eje: Bases de Datos y Minería de DatosRed de Universidades con Carreras en Informática (RedUNCI

Minería de textos y de la web

Este artículo describe, brevemente, las tareas de investigación y desarrollo que se están llevando a cabo en la línea de investigación “Minería de Textos y de la Web” en el marco del proyecto “Aprendizaje automático y toma de decisiones en sistemas inteligentes para la Web”. La linea aborda diversas áreas vinculadas a la ingeniería del lenguaje natural, como por ejemplo el Procesamiento del Lenguaje Natural (PLN), la Lingüística Computacional, la Minería de Textos, la Minería de la Web y la recuperación de información de la Web. En el contexto de este proyecto por lo tanto, esta línea se centra en todos los problemas vinculados con el desarrollo de herramientas inteligentes para la extracción, análisis y validación de contenido Web, que incluyen: representación de documentos y usuarios de la Web, medidas de calidad de información para el contenido Web, técnicas abiertas de extracción de información para la Web, algoritmos de categorización supervisados, semi-supervisados y no supervisados y caracterización de usuarios, entre otros.Eje: Bases de Datos y Minería de DatosRed de Universidades con Carreras en Informática (RedUNCI

Minería de textos y de la web

Este artículo describe, brevemente, las tareas de investigación y desarrollo que se están llevando a cabo en la línea de investigación “Minería de Textos y de la Web” en el marco del proyecto “Aprendizaje automático y toma de decisiones en sistemas inteligentes para la Web”. La linea aborda diversas áreas vinculadas a la ingeniería del lenguaje natural, como por ejemplo el Procesamiento del Lenguaje Natural (PLN), la Lingüística Computacional, la Minería de Textos, la Minería de la Web y la recuperación de información de la Web. En el contexto de este proyecto por lo tanto, esta línea se centra en todos los problemas vinculados con el desarrollo de herramientas inteligentes para la extracción, análisis y validación de contenido Web, que incluyen: representación de documentos y usuarios de la Web, medidas de calidad de información para el contenido Web, técnicas abiertas de extracción de información para la Web, algoritmos de categorización supervisados, semi-supervisados y no supervisados y caracterización de usuarios, entre otros.Eje: Bases de Datos y Minería de DatosRed de Universidades con Carreras en Informática (RedUNCI

Detección anticipada de riesgos en la web

Este artículo describe, brevemente, las tareas de investigación que nuestro grupo está llevando a cabo en el área de Detección Anticipada de Riesgos (DAR) en la Web. Esta línea de investigación comenzó en el año 2017 con la participación de nuestro grupo en la tarea eRisk 2017: Pilot Task on Early Detection of Depression donde se obtuvo el mejor desempeño (de acuerdo a la medida ERDE50) sobre un total de 30 contribuciones de 8 instituciones diferentes de Francia, Alemania, USA, México, Argentina, Canadá y Rusia. A patir de ese evento, se continuó participando en forma ininterrumpida en este evento en otras tareas de DAR vinculadas a depresión, anorexia, y auto-lesiones con distintos enfoques surgidos de los trabajos de postgrado de 5 tesistas de Maestría y Doctorado. En todas las participaciones del grupo, se han presentado propuestas que consituyen en la actualidad el estado del arte del área con más de 12 publicaciones en el tema.Red de Universidades con Carreras en Informátic

Inorganic and organic geochemical fingerprinting of sediment sources and ocean circulation on a complex continental margin (São Paulo Bight, Brazil)

In this study, we use inorganic (metal) and organic (bulk and molecular) markers in sediment samples of the south-eastern Brazilian margin to investigate the response of geochemical fingerprints to the complex hydrodynamic processes present in the area. Results indicate the potential of export of terrigenous siliciclastic and organic constituents to the upper slope, even in an area with limited fluvial supply. Metal contents and especially the ln(Ti = Al) and ln(Fe = K) ratios make it possible to recognise the extension of shelf sediments toward the upper slope. Potassium, here expressedas ln(K = Sc) and ln(K = Al) ratios used as proxies of illite–kaolinite variations, proved to be an important parameter, especially because it allowed us to decipher the imprint of the northward flow of the Intermediate Western Boundary Current (IWBC) in comparison to the southward flows of the Brazil Current (BC) and Deep Western Boundary Current (DWBC). Using organic matter analyses, we were able to evaluate the extent of terrestrial contributions to the outer shelf and slope, even without the presence of significant fluvial input. In addition, molecular markers signify a slight increase in the input of C4-derived plants to the slope sediments, transported from distant areas by the main alongshore boundary currents, indicating that the terrestrial fraction of the organic matter deposited on the slope has a distinct origin when compared to shelf sediments

Consumers’ Perceptions about Edible Insects’ Nutritional Value and Health Effects: Study Involving 14 Countries

Download PDFsettingsOrder Article Reprints This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessFeature PaperArticle Consumers’ Perceptions about Edible Insects’ Nutritional Value and Health Effects: Study Involving 14 Countries by Raquel P. F. Guiné 1,*ORCID,Sofia G. Florença 1ORCID,Cristina A. Costa 1ORCID,Paula M. R. Correia 1ORCID,Nada M. Boustani 2ORCID,Irina Matran 3ORCID,Krešimir Jakšić 4ORCID,Cristina Chuck-Hernández 5ORCID,Elena Bartkiene 6ORCID,Ilija Djekic 7ORCID,Maria Papageorgiou 8ORCID,Leticia G. Arias 9ORCID,Malgorzata Korzeniowska 10ORCID,Maša Černelič-Bizjak 11ORCID,Dace Klava 12ORCID,Vanessa Ferreira 13ORCID,Emel Damarli 14ORCID andManuela Ferreira 15ORCID 1 CERNAS-IPV Research Centre, Polytechnic University of Viseu, 3504-510 Viseu, Portugal 2 Faculty of Business and Administration, Saint Joseph University, Beirut 1104 2020, Lebanon 3 Department of Community Nutrition and Food Safety, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540139 Targu Mures, Romania 4 Department of Psychology, University of Zadar, 23000 Zadar, Croatia 5 Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey 64849, Mexico 6 Department of Food Safety and Quality, Lithuanian University of Health Sciences, LT-47181 Kaunas, Lithuania 7 Department of Food Safety and Quality Management, Faculty of Agriculture, University of Belgrade, 11000 Belgrade, Serbia 8 Department of Food Science and Technology, International Hellenic University, 57001 Thessaloniki, Greece 9 BALAT Research Group, Faculty of Veterinary Medicine, University of León, 24071 León, Spain 10 Faculty of Food Science, Wroclaw University of Environmental and Life Sciences, 51-630 Wrocław, Poland add Show full affiliation list * Author to whom correspondence should be addressed. Animals 2024, 14(11), 1631; https://doi.org/10.3390/ani14111631 Submission received: 6 May 2024 / Revised: 25 May 2024 / Accepted: 29 May 2024 / Published: 30 May 2024 Downloadkeyboard_arrow_down Versions Notes Simple Summary Climate change is one of the drivers of change towards sustainable food systems food security. Therefore, food security is a priority all around the world and across different sectors of society. Edible insects are recommended as a sustainable source of food of animal origin, but their acceptance is very diverse across cultures and countries. Therefore, our work investigated the perceptions of consumers about edible insects in 14 countries. We concluded that depending on origin, the level of knowledge is different, which is a starting point to design more focused campaigns to promote EIs, not only in non-insect-eating countries, but also in insect-eating countries. Better knowledge about the health effects of EIs and their nutritive value is a driver of change. Abstract Insects have been consumed for time immemorial in many regions of the globe. However, in other parts, they are not traditionally eaten. Because they are a more sustainable source of animal protein and provide valuable nutrients as well as bioactive compounds with beneficial effects on the human body, their consumption is encouraged. Knowledge can serve as a tool for better acceptance of insects as food. In this context, the present work investigated the knowledge about the nutritional value and health effects of edible insects in different countries. Data were collected by employing a questionnaire survey translated into the different languages of all participating countries and were treated using statistical tools. A total of 7222 responses were obtained. The results indicated that for many issues, the participants manifested a neutral opinion (neither agree nor disagree), but the participants who manifested agreement/disagreement were generally well informed. They were also able to identify untrue facts and answer accordingly by disagreeing. Factor analysis showed four groups of questions: nutritive value, negative perception and risks, safety and benefits of insects and contamination and harmful components. Finally, significant differences were observed according to the sociodemographic variables studies (sex, age, education, living environment and country), with age and country being the most influential of the sociodemographic factors on knowledge. Therefore, increasing knowledge is envisaged as an essential factor in augmenting the recognition of edible insects as a nutritional food, presenting health benefits apart from being a more sustainable source of animal protein when compared with beef or pork meats.info:eu-repo/semantics/publishedVersio