Modelo de negocio y estrategia editorial: el caso del wsj.com

La investigación sobre modelos de negocios en la industria de la comunicación se ha caracterizado por un elevado grado de experimentación y la ausencia de respuestas unívocas al problema de la rentabilidad de los contenidos digitales. En este escenario, The Wall Street Journal suele ser mencionado como un referente del modelo de suscripción. Este artículo demuestra empíricamente que el modelo del diario económico más prestigioso del mundo ofrece un modelo híbrido en el que los contenidos gratuitos representan el 73% del total publicado en la portada del wsj.com y analiza cuáles son las características comunes que suelen compartir aquellos contenidos de pago frente a las compartidas por los contenidos gratuitos

Modelling and identification of an autonomous surface vehicle

This work aims to provide technical information regarding the identification and modelling of the Yellowfish Autonomous Surface Vehicle (ASV) developed at Universidad Loyola Andalucía. The goal is to have a simple model of the vehicle that can be later exploited for estimation and control, either as an individual vessel, or as part of a coordinated fleet.Peer Reviewe

Visual gaze patterns reveal surgeons' ability to identify risk of bile duct injury during laparoscopic cholecystectomy

BACKGROUND: Bile duct injury is a serious surgical complication of laparoscopic cholecystectomy. The aim of this study was to identify distinct visual gaze patterns associated with the prompt detection of bile duct injury risk during laparoscopic cholecystectomy. METHODS: Twenty-nine participants viewed a laparoscopic cholecystectomy that led to a serious bile duct injury ('BDI video') and an uneventful procedure ('control video') and reported when an error was perceived that could result in bile duct injury. Outcome parameters include fixation sequences on anatomical structures and eye tracking metrics. Surgeons were stratified into two groups based on performance and compared. RESULTS: The 'early detector' group displayed reduced common bile duct dwell time in the first half of the BDI video, as well as increased cystic duct dwell time and Calot's triangle glances count during Calot's triangle dissection in the control video. Machine learning based classification of fixation sequences demonstrated clear separability between early and late detector groups. CONCLUSION: There are discernible differences in gaze patterns associated with early recognition of impending bile duct injury. The results could be transitioned into real time and used as an intraoperative early warning system and in an educational setting to improve surgical safety and performance

Exercise, quality of life and depression in elderly of Huelva

Presentado en EDUHEM 2018 - VIII International conference on intercultural education and International conference on transcultural health: The Value Of Education And Health For A Global,Transcultural World, Cognitive-Crcs.The aim of this study was to determine the relationship between physical condition level, quality of life related to health and the degree of depression of a sample of people over 60 years old that engage physical activity in social centers of Huelva. A total of 66 elderly people aged between 60 and 87 years with an average age of 69.71 (SD=6.1) was evaluated. Of these, 80.3% were women (n=53) and 19.7% male (n=13). The results indicate that strength has a very significant correlation with Physical Role, Physical Component, Social Function, General Health, Emotional Role and Vitality (p<.005) and a significant correlation with Body Pain and Mental Component (p<.05). Statistically significant differences are observed between strength and normal and severe depression categories (F(2)=4.286; p=.018). Relevant conclusions of the investigation found that strength is the only physical quality that correlates with the two major components of health related quality of life, Physical Component (PCS) and Mental Component (MCS); and elderly people with severe depression levels have lower strength values than older people without depression

PPAR<i>γ</i> agonist-loaded PLGA -PEG nanocarriers as a potential treatment for Alzheimer’s disease: in vitro and in vivo studies

Objective: The first aim of this study was to develop a nanocarrier that could transport the peroxisome proliferator-activated receptor agonist, pioglitazone (PGZ) across brain endothelium and examine the mechanism of nanoparticle transcytosis. The second aim was to determine whether these nanocarriers could successfully treat a mouse model of Alzheimer’s disease (AD). Methods: PGZ-loaded nanoparticles (PGZ-NPs) were synthesized by the solvent displacement technique, following a factorial design using poly (lactic-co-glycolic acid) polyethylene glycol (PLGA-PEG). The transport of the carriers was assessed in vitro, using a human brain endothelial cell line, cytotoxicity assays, fluorescence-tagged nanocarriers, fluorescence-activated cell sorting, confocal and transmission electron microscopy. The effectiveness of the treatment was assessed in APP/PS1 mice in a behavioral assay and by measuring the cortical deposition of β-amyloid. Results: Incorporation of PGZ into the carriers promoted a 50x greater uptake into brain endothelium compared with the free drug and the carriers showed a delayed release profile of PGZ in vitro. In the doses used, the nanocarriers were not toxic for the endothelial cells, nor did they alter the permeability of the blood–brain barrier model. Electron microscopy indicated that the nanocarriers were transported from the apical to the basal surface of the endothelium by vesicular transcytosis. An efficacy test carried out in APP/PS1 transgenic mice showed a reduction of memory deficit in mice chronically treated with PGZ-NPs. Deposition of β-amyloid in the cerebral cortex, measured by immunohistochemistry and image analysis, was correspondingly reduced. Conclusion: PLGA-PEG nanocarriers cross brain endothelium by transcytosis and can be loaded with a pharmaceutical agent to effectively treat a mouse model of AD

Quantitative analysis of multi-spectral fundus images

We have developed a new technique for extracting histological parameters from multi-spectral images of the ocular fundus. The new method uses a Monte Carlo simulation of the reflectance of the fundus to model how the spectral reflectance of the tissue varies with differing tissue histology. The model is parameterised by the concentrations of the five main absorbers found in the fundus: retinal haemoglobins, choroidal haemoglobins, choroidal melanin, RPE melanin and macular pigment. These parameters are shown to give rise to distinct variations in the tissue colouration. We use the results of the Monte Carlo simulations to construct an inverse model which maps tissue colouration onto the model parameters. This allows the concentration and distribution of the five main absorbers to be determined from suitable multi-spectral images. We propose the use of "image quotients" to allow this information to be extracted from uncalibrated image data. The filters used to acquire the images are selected to ensure a one-to-one mapping between model parameters and image quotients. To recover five model parameters uniquely, images must be acquired in six distinct spectral bands. Theoretical investigations suggest that retinal haemoglobins and macular pigment can be recovered with RMS errors of less than 10%. We present parametric maps showing the variation of these parameters across the posterior pole of the fundus. The results are in agreement with known tissue histology for normal healthy subjects. We also present an early result which suggests that, with further development, the technique could be used to successfully detect retinal haemorrhages

Modelling and Identification of an Autonomous Surface Vehicle: Technical Report

The purpose of this document is to provide technical information about the identification and modelling of the Yellowfish autonomous surface vehicle (ASV), developed in Universidad Loyola Andalucía within the line of research entitled ASV4Sustainability of the Optimization and Control of Distributed Systems research group.Junta de AndalucíaAgencia Española de Cooperación Internacional para el Desarroll

How safe is Healthcare? Perceptions within the Healthcare Community and the general public.

Objectives: Complexity of health care is progressively increasing and with that the number of medical errors and adverse events are increasing to an alarming level. The purpose of this study is to assess the perception of healthcare safety within the healthcare community and the general public and examine the association between the perception regarding healthcare safety and the prior exposure to medical errors. Methods: The study is a cross-sectional online survey. The online survey included basic demographics and a series of questions related to the knowledge and perception about healthcare safety and personal healthcare experience. Results: 504 respondent completed the survey. 78.6% were healthcare workers. 84% reported one or more exposure to medical errors or adverse events. Most respondents (81.5%) estimated the rate of medical errors to be 1:100 or less. only 29.3% of the respondents thought that medical errors are occurring more frequently than 10 years ago. 89.6% of the respondents thought that healthcare is a safe industry. Looking at Factors Predicting the Perception that Healthcare is Safe, there was no clear correlation with the exposure to medical errors except for surgical complications exposure (p-value=0.01, OR 21.4) Conclusions: There is a strong indication in our data that healthcare workers and public perception is far from the reality of the dangers of the healthcare system There is a need to educate the public regarding the medical error rate and the healthcare safety to help make patients and their families become partners in their care and to help healthcare workers better understand the limitations of healthcare processes that may affect patient safety and outcomes