Previsiones de flujo de fondos en la empresa utilizando simulación de eventos discretos

Mostramos el funcionamiento del “Simulador Cash-flow”, una herramienta que permite a las empresas simular su flujo de fondos actual y proyectar distintos escenarios con el objetivo de conocer las probables fechas de escases de liquidez y sus causas, para luego tomar decisiones de adelanto o atraso de movimientos que pudieran evitar el llamado “descalce financiero” disminuyendo así los costos de recurrir a otro tipo de financiamiento. A través de esta herramienta, para las organizaciones se hace posible la optimización de decisiones y nuevos compromisos hoy; quedando claro que dicha herramienta tiene un gran valor por la simplicidad de uso, economía de costo, adaptabilidad y rapidez de cálculos.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Previsiones de flujo de fondos en la empresa utilizando simulación de eventos discretos

Mostramos el funcionamiento del “Simulador Cash-flow”, una herramienta que permite a las empresas simular su flujo de fondos actual y proyectar distintos escenarios con el objetivo de conocer las probables fechas de escases de liquidez y sus causas, para luego tomar decisiones de adelanto o atraso de movimientos que pudieran evitar el llamado “descalce financiero” disminuyendo así los costos de recurrir a otro tipo de financiamiento. A través de esta herramienta, para las organizaciones se hace posible la optimización de decisiones y nuevos compromisos hoy; quedando claro que dicha herramienta tiene un gran valor por la simplicidad de uso, economía de costo, adaptabilidad y rapidez de cálculos.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Simulación por eventos discretos: aplicación en un proyecto de automatización industrial

Se presenta la aplicación de la simulación por eventos discretos para comprobar la viabilidad de un proyecto de automatización mediante la incorporación de robots industriales en la manufactura de cigarrillos. Se expone el contexto internacional y nacional de la robótica industrial, como una de las tecnologías habilitadoras de la industria 4.0. Luego, se describe el sistema en estudio que representa la implementación de dos robots de apoyo en el abastecimiento a las líneas de armado de la empresa. Los robots realizan la carga de rollos de determinados materiales a dos tipos de carros que luego son llevados a la línea de producción. Debido a que se trata de un sistema complejo, por la variedad de productos a procesar, la combinación de un elevado número de materiales, la programación del robot y los distintos tiempos de operación, es que se decide aplicar la simulación computacional por eventos discretos para el estudio de viabilidad. Luego del análisis de la simulación, se extraen conclusiones respecto a las estrategias abordadas en la lógica de programación de los robots, los resultados obtenidos de la simulación, y las experiencias profesionales del proyecto. El modelo fue desarrollado en Simul8, software especializado en simulación por eventos discretos.Sociedad Argentina de Informática e Investigación Operativ

A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology

Background: Recent studies have indicated that a special class of long non-coding RNAs (lncRNAs), namely Transcribed-Ultraconservative Regions are transcribed from specific DNA regions (T-UCRs), 100% conserved in human, mouse, and rat genomes. This is noticeable, as lncRNAs are usually poorly conserved. Despite their peculiarities, T-UCRs remain very understudied in many diseases, including cancer and, yet, it is known that dysregulation of T-UCRs is associated with cancer as well as with human neurological, cardiovascular, and developmental pathologies. We have recently reported the T-UCR uc.8+ as a potential prognostic biomarker in bladder cancer.Results: The aim of this work is to develop a methodology, based on machine learning techniques, for the selection of a predictive signature panel for bladder cancer onset. To this end, we analyzed the expression profiles of T-UCRs from surgically removed normal and bladder cancer tissues, by using custom expression microarray. Bladder tissue samples from 24 bladder cancer patients (12 Low Grade and 12 High Grade), with complete clinical data, and 17 control samples from normal bladder epithelium were analysed. After the selection of preferentially expressed and statistically significant T-UCRs, we adopted an ensemble of statistical and machine learning based approaches (i.e., logistic regression, Random Forest, XGBoost and LASSO) for ranking the most important diagnostic molecules. We identified a signature panel of 13 selected T-UCRs with altered expression profiles in cancer, able to efficiently discriminate between normal and bladder cancer patient samples. Also, using this signature panel, we classified bladder cancer patients in four groups, each characterized by a different survival extent. As expected, the group including only Low Grade bladder cancer patients had greater overall survival than patients with the majority of High Grade bladder cancer. However, a specific signature of deregulated T-UCRs identifies sub-types of bladder cancer patients with different prognosis regardless of the bladder cancer Grade.Conclusions: Here we present the results for the classification of bladder cancer (Low and High Grade) patient samples and normal bladder epithelium controls by using a machine learning application. The T-UCR's panel can be used for learning an eXplainable Artificial Intelligent model and develop a robust decision support system for bladder cancer early diagnosis providing urinary T-UCRs data of new patients. The use of this system instead of the current methodology will result in a non-invasive approach, reducing uncomfortable procedures (such as cystoscopy) for the patients. Overall, these results raise the possibility of new automatic systems, which could help the RNA-based prognosis and/or the cancer therapy in bladder cancer patients, and demonstrate the successful application of Artificial Intelligence to the definition of an independent prognostic biomarker panel

Not all were Spears and Facones: Firearms from Otamendi Fortlet (1858–1869), Buenos Aires Province, Argentina

Otamendi fortlet is located in Buenos Aires province (Argentina) and was occupied from 1858 to 1869. Previous archaeological research has yielded large quantities of artefacts from the site; the present study focuses on firearms and related material. The aim of this project is to identify and characterize the firearms to establish their function, place of origin and chronology. They are compared to the archaeological record of Minaña fortlet to understand the diversity of armament technology in border military settlements of the South Frontier against indigenous people during the second half of the nineteenth century in Argentina.Peer Reviewe

Petrifying Wealth

Sitio web del proyecto “Petrifying Wealth. The Southern European Shift to Collective Investment in Masonry as Identity , c.1050-1300”..-- Propósito: científico.-- Fecha de la consulta: 2019-05-24. Se incluye enlace al vídeo: 'Petrifying Wealth' explicado por su coordinadora, Ana Rodríguez.Between the years 1050 and 1300 the European landscape turned to stone. It was a structural transformation that led to the birth of a new, long-lasting panorama and helped in the creation of individual, collective and regional identities: a landscape epitomising the way we see the space and territory of Europe. The project Petrifying Wealth seeks to rewrite the social history of the central Middle Ages, emphasizing the need to reassess from an untried perspective an element that has always been present in our vision of the period—the sudden ubiquity of masonry construction—but which has hardly been given the opportunity to provide in-depth explanations for complex social dynamics. A project that seeks to offer novel explanations to previously unasked questions about wealth, building, and collective identity. The speed, extent, and systematization of the construction of churches, towers, castle walls, palaces, and houses within castles and cities provide evidence of an underlying, if unaddressed, issue. That is, it is precisely in the twelfth and thirteenth centuries that the structural link can most clearly be seen between both private and collective wealth, and the investment in stone structures built to last. The study of the shift involving new institutional dynamics, but also unprecedented social practices, as well as ideological concepts radically different from those that had prevailed until then, aims to break down assumptions that have naturalized this truly astonishing process while using as case studies the undervalued regions of southern Europe to explore the larger questions. By inverting the standard approach that sees the heart of the former Carolingian empire (present-day France and Germany) as the wellspring from which other “peripheral” territories drank, Dr. Ana Rodríguez (CSIC, Spain) and Dr. Sandro Carocci (Università di Roma Tor Vergata, Italy) will undertake to bring new light to probe the greater meaning behind the process of masonry building as an investment in social identity in the central Middle Ages.Peer reviewe