A new Apache Spark-based framework for big data streaming forecasting in IoT networks.

Analyzing time-dependent data acquired in a continuous flow is a major challenge for various fields, such as big data and machine learning. Being able to analyze a large volume of data from various sources, such as sensors, networks, and the internet, is essential for improving the efficiency of our society's production processes. Additionally, this vast amount of data is collected dynamically in a continuous stream. The goal of this research is to provide a comprehensive framework for forecasting big data streams from Internet of Things networks and serve as a guide for designing and deploying other third-party solutions. Hence, a new framework for time series forecasting in a big data streaming scenario, using data collected from Internet of Things networks, is presented. This framework comprises of five main modules: Internet of Things network design and deployment, big data streaming architecture, stream data modeling method, big data forecasting method, and a comprehensive real-world application scenario, consisting of a physical Internet of Things network feeding the big data streaming architecture, being the linear regression the algorithm used for illustrative purposes. Comparison with other frameworks reveals that this is the first framework that incorporates and integrates all the aforementioned modules.

Enfermedad de Kimura en paciente no asiática / Kimura’s disease in a non-asian patient

La enfermedad de Kimura es un trastorno inflamatorio benigno poco frecuente, de etiología desconocida y que afecta principalmente a sujetos de origen asiático. Clínicamente se manifiesta como masas subcutáneas, indoloras, sobre todo en la zona de cabeza y el cuello. Suele acompañarse de linfadenopatías, y aumento de los niveles de eosinófilos e IgE en sangre periférica. Se presenta un caso de enfermedad de Kimura, diagnosticado en una mujer caucásica tras la exéresis-biopsia de una masa mandibular de gran tamaño. Describir esta patología ayudará a incluir la misma en el diagnóstico diferencial de masas, sobre todo a nivel cervico-facial, favoreciendo así su adecuado manejo diagnóstico-terapéutico. (AU)

Kimura’s disease is a rare benign inflammatory disorder of unknown etiology that mainly affects individuals of Asian origin. Clinically it manifests as subcutaneous, painless masses, especially in the head and neck area. It is usually accompanied by lymphadenopathies and an increase in eosinophil and IgE levels in peripheral blood. A case of Kimura’s disease is presented, diagnosed in a Caucasian woman after the excision-biopsy of a large mandibular mass. Describing this pathology will help to include it in the differential diagnosis of masses, especially at the cervico-facial area, thus favoring its adequate diagnostic-therapeutic management. (AU)