Sistemas conversacionales aplicados a la gobernanza Asistencia automatizada al público

The term "smart cities" is one of today's most innovative concepts, a goal that many countries aspire to achieve and implement. One aspect of these smart cities is the intercommunication between various public and private sector actors; the ideal tool to realize this union is a chatbot, capable of intermediating both users. A chatbot is, quite simply, a messaging application that can hold conversations with its users, either by providing them with pre-established responses or intelligently generated by understanding the user's intent and data. This type of conversational system uses different artificial intelligence and machine learning technologies and can capture and analyze huge volumes of relevant customer data, understand the behavior and intent of the conversation, and provide answers to questions by adjusting them to different contexts. In this work, an open-source technology (Rasa) has been used, and the study of natural language processing concepts and neural network model analysis implemented in Rasa has been carried out to develop the virtual assistant (chatbot). This chatbot is oriented to customer service and can answer queries and deliver forms to those interested in the courses and jobs available at the local employment office in Caleta Olivia using natural language that is pleasant and easy to follow, also taking into account possible misrecognition of intentions and being able to learn from them.El término de “ciudades inteligentes” es uno de los conceptos más innovadores de la actualidad, un objetivo que muchos países aspiran conseguir e implementar. Un aspecto de estas ciudades inteligentes es la intercomunicación entre varios actores del sector público y privado; la herramienta ideal para realizar esta unión es un chatbot, capaz de intermediar ambos usuarios. Un chatbot es, simplemente, una aplicación de mensajería que es capaz de mantener conversaciones con sus usuarios, bien ofreciéndoles respuestas preestablecidas o generadas inteligentemente entendiendo la intención y los datos del usuario. Este tipo de sistema conversacional utiliza distintas tecnologías de inteligencia artificial y aprendizaje de máquina, y es capaz de captar y analizar volúmenes enormes de datos relevantes de clientes, entender el comportamiento y la intención de la conversación y ofrecer respuestas a las preguntas ajustándolas a diferentes contextos. En el presente trabajo se ha utilizado una tecnología de código abierto (Rasa), y se ha realizado el estudio de conceptos de procesamiento de lenguaje natural y análisis de modelos de redes neuronales implementados en Rasa, para poder desarrollar el asistente virtual (chatbot). Este chatbot está orientado a la atención al público que es capaz de responder consultas y entregar formularios a los interesados en los cursos y trabajos disponibles de la Oficina de Empleo local en Caleta Olivia utilizando lenguaje natural ameno y sencillo de seguir, también tomando en cuenta posibles reconocimientos erróneos de intenciones y pudiendo aprender de ellos

Impairment of recent thymic emigrants in HCV infection.

Hepatitis C Virus (HCV) often has a more favorable course in younger patients. Considering the involution of the thymic function with age, we investigated the output of recent thymic emigrants (RTE) in HCV patients. To evaluate RTE, we used a competitive quantitative PCR in order to determine the percentages of cells with cj-T cell receptor excision circles (TREC). This study was performed in 14 HCV patients at diagnosis and before any anti-HCV treatment. The results obtained in this group were compared to those obtained in a group of age-matched controls. We found that in the 14 HCV patients naive for anti-HCV treatment the mean percentage of cj-TREC was 3%. We could not detect a correlation between the percentages of cj-TREC and age or patients' viremia. In contrast, in the 26 age-matched controls mean percentage of cj-TREC was 5.6% (P=0.01). Our study describes a novel immune defect in HCV patients. Additional studies are needed to get further insight in the possible role of TREC defect in the pathogenesis and prognosis of the disease

Impact of neuropeptide substance P an inflammatory compound on arachidonic acid compound generation

There is much evidence that neuropeptide substance P is involved in neurogenic inflammation and is an important neurotransmitter and neurmodulator compound. In addition, substance P plays an important role in inflammation and immunity. Macrophages can be activated by substance P which provokes the release of inflammatory compounds such as interleukins, chemokines and growth factors. Substance P is involved in the mechanism of pain through the trigeminal nerve which runs through the head, temporal and sinus cavity. Substance P also activates mast cells to release inflammatory mediators such as arachindonic acid compound, cytokines/chemokines and histamine. The release of these chemical mediators is crucial for inflammatory response. Among these mediators there are prostoglandins and leukotrines. Here we review the impact of substance P on inflammatory compounds