28 research outputs found

    LENNA (Learning Emotions Neural Network Assisted): an empathic chatbot designed to study the simulation of emotions in a bot and their analysis in a conversation

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    Currently, most chatbots are unable to detect the emotional state of the interlocutor and respond according to the interlocutor’s emotional state. Over the last few years, there has been growing interest in empathic chatbots. In other disciplines aside from artificial intelligence, e.g., in medicine, there is growing interest in the study and simulation of human emotions. However, there is a fundamental issue that is not commonly addressed, and it is the design of protocols for quantitatively evaluating an empathic chatbot by utilizing the analysis of the conversation between the bot and an interlocutor. This study is motivated by the aforementioned scenarios and by the lack of methods for assessing the performance of an empathic bot; thus, a chatbot with the ability to recognize the emotions of its interlocutor is needed. The main novelty of this study is the protocol with which it is possible to analyze the conversations between a chatbot and an interlocutor, regardless of whether the latter is a person or another chatbot. For this purpose, we have designed a minimally viable prototype of an empathic chatbot, named LENNA, for evaluating the usefulness of the proposed protocol. The proposed approach uses Shannon entropy to measure the changes in the emotional state experienced by the chatbot during a conversation, applying sentiment analysis techniques to the analysis of the conversation. Once the simulation experiments were performed, the conversations were analyzed by applying multivariate statistical methods and Fourier analysis. We show the usefulness of the proposed methodology for evaluating the emotional state of LENNA during conversations, which could be useful in the evaluation of other empathic chatbots

    Desafíos y tendencias del México actual

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    Conjunto de once ensayos cuyo propósito es suscitar la reflexión sobre las tendencias más importantes que marcan el inicio del siglo XXI en México y Jalisco, sin obviar las direcciones que a escala mundial toman la vida social, política y económica.ITESO, A.C

    Celulosa y microcelulosa de residuos del cultivo de caña de azúcar (Saccharum spp.)

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    Objective: To characterize the structure, texture and thermal properties of cellulose and cellulose microfibers (MFC) of three sugarcane crops and the development of a biocomposite. Design / methodology / approach: The celluloses were extracted by the Kraft method and the MFCs of the cultures MEX-69-290, CP-72-2086 and MEX-68-P23, using oxidative and mechanical processes; for its characterization spectroscopic, microscopic and thermal techniques were used; and were analyzed with a completely randomized design, where the treatments were cellulose and CFM extracted from the three cultivars of sugarcane; In addition to the fusion processing of a biocomposite from polylactic acid and CMF. Results: Cellulose and CFM were obtained from the straw of the three crops, the similar quality, the percentage of moisture in the straw and the cellulose having the same behavior, the chemical composition of the cellulose is of high purity. The results of XRD and FTIR have characteristic bands and similar amounts of cellulose in the crystalline phase. TGA indicates that cellulose decomposes at higher temperatures of polylactic acid (PLA), which supports melt mixing processes. Limitations of the study / implications: The varieties of sugarcane pajamas have different characteristics in the cellulose phase and in the CFM phase; but similar between cultivars. Findings / conclusions: The crystallinity by XRD and the identification of functional groups by FTIR show us characteristic bands of the cell in the crystalline phase and how the amorphous part of the straw is lost without treatment, becoming more crystalline when it becomes cellulose and mostly in microcellulose; as well as the similarity that exists in the three cultivars of said components and in similar quantities. The resistance properties of the biocomposite will be affected when the CFMs are added to the polylactic acid.Objetivo: Caracterizar la estructura, textura y propiedades térmicas de celulosas y microfibras de celulosa (MFC) de tres cultivares de caña de azúcar y la elaboración de un biocompuesto. Diseño/metodología/aproximación: Las celulosas fueron extraídas por el método Kraft y las MFC de los cultivares MEX-69-290, CP-72-2086 y MEX-68-P23, utilizando procesos oxidativos y mecánicos; para su caracterización se emplearon técnicas espectroscópicas, microscópicas y térmicas; y fueron analizadas con un diseño completamente al azar, donde los tratamientos fueron la celulosa y MFC extraídas de los tres cultivares de caña de azúcar; además de la elaboración por fusión de un biocompuesto a partir de ácido poliláctico y las MCF. Resultados: Se obtuvieron celulosa y MFC de la paja de los tres cultivares, la cual presentó similitud, teniendo el mismo comportamiento el porcentaje de humedad en la paja y la celulosa, la composición química de la celulosa es de alta pureza. Los resultados de XRD y FTIR presentan bandas características y cantidades similares de celulosa en fase cristalina. TGA indica que la celulosa se descompone a temperaturas más altas de ácido poliláctico (PLA), lo que apoya los procesos de mezcla en fusión. Limitaciones del estudio/implicaciones: Las variedades de paja de caña de azúcar presentan características diferentes en la fase de celulosa y en fase de MFC; pero similar entre cultivares. Hallazgos/conclusiones: La cristalinidad mediante XRD y la identificación de grupos funcionales por FTIR nos muestran bandas características de celulosa en fase cristalina y cómo se va perdiendo la parte amorfa de la paja sin tratamiento, volviéndose más cristalina al convertirse en celulosa y mayormente en microcelulosa; así como también la similitud que existe en las tres cultivares de dichos componentes y en cantidades semejantes. Las propiedades de resistencia del biocompuesto se vieron afectadas cuando las MFC´s se agregaron al ácido poliláctico

    Phenolic Compounds in Organic and Aqueous Extracts from Acacia farnesiana Pods Analyzed by ULPS-ESI-Q-oa/TOF-MS. In Vitro Antioxidant Activity and Anti-Inflammatory Response in CD-1 Mice

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    Abstract: Background: Acaciafarnesiana (AF) pods have been traditionally used to treat dyspepsia, diarrhea and topically for dermal inflammation. Main objectives: (1) investigate the antioxidant activity and protection against oxidative-induced damage of six extracts from AF pods and (2) their capacitytocurbtheinflammationprocessaswellastodown-regulatethepro-inflammatorymediators. Methods: Five organic extracts (chloroformic, hexanic, ketonic, methanolic, methanolic:aqueous and one aqueous extract) were obtained and analyzed by UPLC-ESI-Q-oa/TOF-MS. Antioxidant activity (DPPH•, ORAC and FRAP assays) and lipid peroxidation (TBARS assay) were performed. Assessmentofanti-inflammatorypropertieswasmadebytheearedemainducedmodelinCD-1mice andMPOactivityassay. Likewise,histologicalanalysis,IL-1β,IL-6,IL-10,TNF-α,COXmeasurements plus nitrite and immunohistochemistry analysis were carried out. Results: Methyl gallate, gallic acid,galloyl glucose isomer 1, galloyl glucose isomer 2, galloyl glucose isomer 3, digalloyl glucose isomer 1, digalloyl glucose isomer 2, digalloyl glucose isomer 3, digalloyl glucose isomer 4, hydroxytyrosol acetate, quinic acid, and caffeoylmalic acid were identified. Both organic and aqueous extracts displayed antioxidant activity. All extracts exhibited a positive effect on the interleukins, COX and immunohistochemistry assays. Conclusion: All AF pod extracts can be effective as antioxidant and topical anti-inflammatory agents. Keywords: Acacia farnesiana pods; antioxidant and anti-inflammatory activities; bioactive compounds; polyphenol

    The effect of hexose ratios on metabolite production in Saccharomyces cerevisiae strains obtained from the spontaneous fermentation of mezcal

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    Mezcal from Tamaulipas (Me´xico) is produced by spontaneous alcoholic fermentation using Agave spp. musts, which are rich in fructose. In this study eight Saccharomyces cerevisiae isolates obtained at the final stage of fermentation from a traditional mezcal winery were analysed in three semisynthetic media. Medium M1 had a sugar content of 100 g l-1 and a glucose/fructose (G/F) of 9:1. Medium M2 had a sugar content of 100 g l-1 and a G/F of 1:9. Medium M3 had a sugar content of 200 g l-1 and a G/F of 1:1. In the three types of media tested, the highest ethanol yield was obtained from the glucophilic strain LCBG-3Y5, while strain LCBG-3Y8 was highly resistant to ethanol and the most fructophilic of the mezcal strains. Strain LCBG-3Y5 produced more glycerol (4.4 g l-1) and acetic acid (1 g l-1) in M2 than in M1 (1.7 and 0.5 g l-1, respectively), and the ethanol yields were higher for all strains in M1 except for LCBG-3Y5, -3Y8 and the Fermichamp strain. In medium M3, only the Fermichamp strain was able to fully consume the 100 g of fructose l-1 but left a residual 32 g of glucose l-1. Regarding the hexose transporters, a high number of amino acid polymorphisms were found in the Hxt1p sequences. Strain LCBG-3Y8 exhibited eight unique amino acid changes, followed by the Fermichamp strain with three changes. In Hxt3p, we observed nine amino acid polymorphisms unique for the Fermichamp strain and five unique changes for the mezcal strains

    Mapping and assessment of forest ecosystems and their services - Applications and guidance for decision making in the framework of MAES

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    The aim of this report is to illustrate by means of a series of case studies the implementation of mapping and assessment of forest ecosystem services in different contexts and geographical levels. Methodological aspects, data issues, approaches, limitations, gaps and further steps for improvement are analysed for providing good practices and decision making guidance. The EU initiative on Mapping and Assessment of the state of Ecosystems and their Services (MAES), with the support of all Member States, contributes to improve the knowledge on ecosystem services. MAES is one of the building-block initiatives supporting the EU Biodiversity Strategy to 2020.JRC.H.3-Forest Resources and Climat

    TRY plant trait database – enhanced coverage and open access

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    Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

    Respuestas metabólicas al estrés de levaduras de importancia industrial

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    The production of metabolites and biomass on yeasts is performed usually under stressing conditions, mainly the ones concerning dissolved oxygen, osmotic pressure, temperature, pH and toxic compounds, amongst others. Due to their unicellular nature, yeasts usually rely on changes in their physiology and composition to deal with environmental stresses. In this review we analyzed the metabolic responses used by yeasts during industrial processes such as wine production, as well as research performed to elucidate their common physiological responses, and stressing the findings on Saccharomyces cerevisiae, which is by far the most important yeast from the industrial point of view.La producción de metabolitos y biomasa de levaduras a nivel industrial está generalmente sujeta a condiciones estresantes de cultivo, principalmente en cuanto a la concentración de oxígeno disuelto, presión osmótica, temperatura, pH y compuestos tóxicos como el etanol. Al ser las levaduras organismos unicelulares, los mecanismos para enfrentar estas situaciones de estrés se basan en cambios fisiológicos y de composición, así como toda una gama de respuestas de su metabolismo. En este trabajo se hace una revisión de las respuestas metabólicas en levaduras durante la producción a escala industrial de bebidas como el vino, así como las investigaciones básicas realizadas para elucidar las respuestas fisiológicas comunes usadas por estos microorganismos, con especial énfasis en la levadura Saccharomyces cerevisiae, que es por mucho la más importante a nivel industrial
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