Análisis comparado del impacto del SARS-CoV-2 en la rentabilidad de la industria de la alimentación, construcción de edificios, comercio minorista y servicios de alojamiento turístico de Canarias

El objetivo de este trabajo es analizar el impacto producido por el virus SARS-CoV-2 en la situación y evolución de la rentabilidad de las empresas canarias en función de su adscripción sectorial. A partir de la base de datos SABI, hemos obtenido una muestra de 2.650 empresas pertenecientes a los 4 sectores objeto de comparación (industria de la alimentación, construcción de edificios, comercio al por menor y servicios de alojamiento) a la que se le aplicó la metodología del análisis financiero tradicional. Los resultados obtenidos evidencian que el impacto producido por el SARS-CoV-2 no afectó con la misma intensidad a todos los sectores, siendo el más perjudicado el de servicios de alojamiento turístico, seguido por la industria de la alimentación, la construcción de edificios y el comercio al por menor.The aim of this project is to analyse the impact of the SARS-CoV-2 virus on the situation and evolution of the profitability of Canary Islands companies according to their sectoral affiliation. Using the SABI database, we have obtained a sample of 2.650 companies belonging to the four sectors under comparison (food industry, building construction, retail trade and tourist accommodation services), to which the traditional financial analysis methodology was applied: analysis of profitability (economic and financial) and analysis of financial equilibrium (static and dynamic). The results obtained show that the impact produced by SARS-CoV-2 did not affect all sectors with the same intensity, with tourist accommodation services being the most affected, followed by the food industry, building construction and retail trade

Mission specification in underwater robotics

This paper describes the utilization of software design patterns and plan-based mission specification in the definition of AUVs missions. Within this approach, a mission is described in terms of a set of task-oriented plans in order to simplify mission definition and favor reutilization of some aspects of a mission. Each plan organizes how and when basic tasks like measurement sampling, navigation or communication are to be carried out. The usage of design patterns for AUVs has been considered in order to ease system architecture design.This work has been partially supported by the following research projects: Project PI2007/039 funded by the Autonomous Government of Canary Islands (Gobierno de Canarias — Consejería de Educación, Cultura y Deportes, Spain) with FEDER funding; and Project TIN2008-06068 funded by the Ministerio de Ciencia e Investigación, Gobierno de España

Deep Learning for Diagonal Earlobe Crease Detection

An article published on Medical News Today in June 2022 presented a fundamental question in its title: Can an earlobe crease predict heart attacks? The author explained that end arteries supply the heart and ears. In other words, if they lose blood supply, no other arteries can take over, resulting in tissue damage. Consequently, some earlobes have a diagonal crease, line, or deep fold that resembles a wrinkle. In this paper, we take a step toward detecting this specific marker, commonly known as DELC or Frank's Sign. For this reason, we have made the first DELC dataset available to the public. In addition, we have investigated the performance of numerous cutting-edge backbones on annotated photos. Experimentally, we demonstrate that it is possible to solve this challenge by combining pre-trained encoders with a customized classifier to achieve 97.7% accuracy. Moreover, we have analyzed the backbone trade-off between performance and size, estimating MobileNet as the most promising encoder.Comment: Accepted at 12th International Conference on Pattern Recognition Applications (ICPRAM 2023

Factores de riesgo de morbilidad en pacientes post apendicectomizados en la Unidad de Emergencia del Hospital Nacional Rosales en el periodo de Enero a Abril del 2018.

La apendicitis aguda es la inflamación aguda del apéndice cecal. Es la urgencia abdominal quirúrgica más importante a nivel mundial, contabilizándose 200 millones de apendicectomias por día, que continúa siendo el estándar de oro del tratamiento. La tasa de complicaciones de la cirugía se han reportado del 5 al 19 % en apendicitis no complicada y hasta 30% en complicadas. El objetivo primario de este estudio es el de conocer los factores relacionados a la presentación de complicaciones locales y sistémicas en los pacientes intervenidos por cuadro de apendicitis aguda en la Unidad de Emergencia del Hospital Nacional Rosales en el periodo de enero a abril 2018

An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment

We present a transfer learning analysis on a sporting environment of the expanded 3D (X3D) neural networks. Inspired by action quality assessment methods in the literature, our method uses an action recognition network to estimate athletes' cumulative race time (CRT) during an ultra-distance competition. We evaluate the performance considering the X3D, a family of action recognition networks that expand a small 2D image classification architecture along multiple network axes, including space, time, width, and depth. We demonstrate that the resulting neural network can provide remarkable performance for short input footage, with a mean absolute error of 12 minutes and a half when estimating the CRT for runners who have been active from 8 to 20 hours. Our most significant discovery is that X3D achieves state-of-the-art performance while requiring almost seven times less memory to achieve better precision than previous work.Comment: Accepted to the 18th International Conference on Machine Vision Applications (MVA 2023

Análisis preliminar de un servicio expreso derivado de la ruta P8 del Sistema Integrado de Transporte Masivo (SITM) Metrolínea en Bucaramanga

En este artículo se presenta un análisis preliminar para la implementación de un servicio expreso derivado de la ruta P8 del SITM Metrolínea en el área metropolitana de Bucaramanga Colombia. Se revisaron los antecedentes referentes a metodologías adoptadas en servicios expresos o servicios de parada limitada, identificando factores influyentes para la efectiva implementación del servicio. Los datos que respaldan el análisis se han tomado de encuestas realizadas a los usuarios de la ruta en estudio y de observaciones efectuadas en paradas y estaciones del SITM, vehículos de la ruta y el corredor de la ruta. Se analizan las posibles modalidades de servicio expreso junto con la evaluación de las condiciones actuales de la ruta P8, del SITM y del área metropolitana. Se concluye que el área metropolitana de Bucaramanga y el SITM necesitan mejoras, primordialmente en infraestructura, para la efectiva implementación de un servicio expreso que cumpla con la demanda y necesidades de los usuarios

Detection of hepatitis C virus RNA in saliva of patients with active infection not associated with periodontal or liver disease severity

BACKGROUND: Hepatitis C virus (HCV) is mainly transmitted by parenteral route, being blood transfusion and intravenous drug use the most frequent risk factors. However, it has been suggested that there are other routes of transmission. There are several studies where HCV RNA has been detected in saliva of patients infected with HCV, and epidemiological studies have proposed the dental treatments as possible risk factors for HCV transmission. The purpose of this study was to detect the presence of HCV RNA in saliva of patients with active infection and associating with periodontal or liver disease. METHODS: Patients with quantifiable HCV-RNA in serum were enrolled in the study. Periodontal disease was assessed using the modified gingival index (MGI). Presence of dental plaque was assessed with the use of disclosing tablets. Patients were clinically and laboratory evaluated to identify the stage of liver disease, the HCV RNA was determinate in saliva by nested RT-PCR. To determine associations between different parameters univariate and multivariate analysis were used. RESULTS: A total of 45 patients were included. Of these patients, 21 (46.6%) had hepatitis, 23 (51.1%) had cirrhosis and one patient (2.4%) presented hepatocellular carcinoma (HCC). Viral loads in serum ranged from 2.31–6.68 log IU/ml with a mean of 5.46 log IU/ml (95% CI 5.23–5.70). HCV RNA was positive in saliva of 29 patients (64.4%) and was not detected in 16 (35.6%). For univariate analysis three independent variables were associated with the detection of HCV-RNA in saliva: gender, viral load and dental plaque and multivariate analysis only one independent variable viral load >5.17 log IU/mL remained significantly associated with the detection of HCV in saliva (p = 0.0002). A statistical difference was observed when viral load was analyzed, log 5.85 IU/mL (95% CI 5.67–6.02) for patients with HCV in saliva vs. log 4.77 IU/mL (95% CI 4.35–5.19) for patients without HCV in saliva (p = 0.0001). The detection of HCV-RNA in saliva was more frequent in patients with relatively high serum viral loads. CONCLUSION: HCV-RNA in saliva was associated with the level of serum viral load but not with periodontal or liver disease severity

Seguridad en la nube: almacenamiento de imágenes médicas y watermarking

En los últimos años, se desarrollaron muchas aplicaciones acompañando el rápido avance de las telecomunicaciones. Una de ellas es la telemedicina por medio de la cual los médicos pueden transferir y compartir los datos digitales de los pacientes en forma remota para determinar un diagnóstico definitivo. Actualmente, la información médica que se almacenaba en el centro de salud se lleva a la nube. Por lo tanto, es esencial proteger los datos médicos intercambiados, especialmente cuando se utiliza una plataforma de Cloud Computing donde la seguridad es un problema importante. Hay que garantizar que las imágenes médicas se puedan compartir en forma segura preservándolas de cualquier intento de distorsión. Como así también proporcionar privacidad en las cadenas de datos de los Registros Electrónicos de los Pacientes o Electronic Health Records (EHR). En este trabajo, nos dedicamos a explorar y obtener conocimientos teóricos sobre marcos de trabajo de plataformas de Health Cloud Computing que permitan alojar imágenes médicas con inserción de Marcas de Agua en los EHRs. La finalidad de este trabajo de campo es seleccionar y probar plataformas de Health Cloud Computing. Posteriormente elaborar una comparación cuantitativa y cualitativa de sus características principales, y recomendar cuáles son las plataformas más seguras y adecuadas.Eje: Seguridad Informática.Red de Universidades con Carreras en Informátic