Are You Really Your Own Boss? Flexi-Vulnerability and False Consciousness of Autonomy in the Digital Labor Culture of Riders

In the European Union, over 28 million people work through more than 500 available digital platforms, and it is estimated that by 2025, this number will reach 43 million. However, we lack up-to-date and sufficient data on employed individuals, as platforms practice a policy of non-disclosure of data. This paper focuses on the so-called location-based platforms and specifically the figure of the rider, understood as the individual who, through a commercial or labor relationship with a company, performs tasks such as the delivery of goods to end customers. By conducting 143 surveys and 15 in-depth interviews with riders, we identified a series of characteristics that allow us to analyze this archetype of contemporary work–digital relations and delve deeper into relevant questions related to this figure, which have to do with the modality linked to the performance of their activity (self-employed or salaried), the levels of job satisfaction with respect to their activity, or the strategies for work or personal conciliation. Specifically, we focus on those discourses that refer to the characteristics of flexibility and autonomy inherent to this type of work, analyzing a heterogeneity of discourses that explain, on the one hand, a situation of precariousness and, in other cases, a job opportunity and a self-employment strategy, introducing the idea of flexi-vulnerability understood as a concept that captures the dual nature of flexibility and vulnerability experienced by individuals who work as self-employed in the so-called “gig” economy.This research received funding from Consejo Económico y Social de la Región de Murcia (Spain)

Inverse relation between FASN expression in human adipose tissue and the insulin resistance level

<p>Abstract</p> <p>Background</p> <p>Adipose tissue is a key regulator of energy balance playing an active role in lipid storage and may be a dynamic buffer to control fatty acid flux. Just like PPARγ, fatty acid synthesis enzymes such as FASN have been implicated in almost all aspects of human metabolic alterations such as obesity, insulin resistance or dyslipemia. The aim of this work is to investigate how FASN and PPARγ expression in human adipose tissue is related to carbohydrate metabolism dysfunction and obesity.</p> <p>Methods</p> <p>The study included eighty-seven patients which were classified according to their BMI and to their glycaemia levels in order to study FASN and PPARγ gene expression levels, anthropometric and biochemical variables.</p> <p>Results</p> <p>The main result of this work is the close relation between FASN expression level and the factors that lead to hyperglycemic state (increased values of glucose levels, HOMA-IR, HbA1c, BMI and triglycerides). The correlation of the enzyme with these parameters is inversely proportional. On the other hand, PPARγ is not related to carbohydrate metabolism.</p> <p>Conclusions</p> <p>We can demonstrate that FASN expression is a good candidate to study the pathophysiology of type II diabetes and obesity in humans.</p

Valoración fisiológica del ejercicio físico en medicina del trabajo

Inclou referències bibliogràfique

Caracterización y simulación de matrices de fibras con distintas distribuciones y concentraciones de colágeno mediante elementos finitos

Entender el comportamiento mecánico de los hidrogeles de colágeno es un aspecto fundamental en muchos de los procesos celulares. Se sabe que las células se comportan de diferente forma en función de su microambiente mecánico. Con el objetivo de caracterizar las propiedades mecánicas de los hidrogeles con distintas concentraciones de colágeno, se lleva a cabo un modelo computacional. Dicho modelo consiste en una distribución real de fibras de colágeno embebidas en un medio acuoso. Este modelo a su vez sirve como aproximación de la matriz extracelular de modo que podemos determinar las propiedades mecánicas del entorno celular. Partiendo de datos experimentales que nos definen la arquitectura de distintas fibras según su concentración de colágeno (2.0 mg/ml, 2.5 mg/ml, 4.0 mg/ml) y ensayo realizado (para cada concentración de colágeno se realizan tres ensayos diferentes), se aplican una serie de algoritmos en Octave con el objetivo de modelar y reconstruir la estructura tridimensional de las fibras de colágeno. Para simular la distribución real de las fibras de colágeno, se definen de manera individual todas y cada una de las fibras en función de su arquitectura incluyendo además los entrecruzamientos (cross-linkers) entre fibras. Para completar el modelo del hidrogel de colágeno, se modela además una matriz que simula un medio acuoso en el cual se embebe la distribución real de fibras de colágeno. Las propiedades mecánicas de los distintos hidrogeles de colágeno se determinan a partir de un ensayo de cizalladura llevado a cabo mediante elementos finitos (ABAQUS), a partir del cual se mide la rigidez de los hidrogeles de colágeno, determinando cómo varía la rigidez en función de las distintas concentraciones de colágeno y en función de la deformación del conjunto de fibras. Por último, la simulación computacional ha permitido ver la gran heterogeneidad que existe en las propiedades mecánicas de las matrices para una misma concentración de fibras de colágeno. También se ha visto el efecto de rigidización de los hidrogeles a medida que aumenta la deformación por el estiramiento de las fibras de colágeno. Efecto observado en tejidos biol´ogicos blandos.<br /

Cultural and Creative Industries in the Community of Madrid: context and economic development 2008 – 2014

La Comunidad de Madrid (CAM) es el principal foco de España respecto a las Industrias Culturales y Creativas (ICC), por lo que medir su impacto socioeconómico en aspectos como la inversión o el empleo resulta de vital importancia para el desarrollo económico de la región e, indirectamente, del país. Objetivos: El objetivo de este artículo es presentar un modelo, mediante una metodología armonizada y comparable entre CC.AA., que explique la evolución de las ICC en la CAM para el actual contexto de crisis, con el fin de conocer en qué medida han contribuido a la generación de empleo y cuál ha sido su aportación a la riqueza de la región y al producto interior bruto nacional. Con ello, pretendemos construir unas herramientas que mejoren los parámetros estadísticos actuales y faciliten la implementación de políticas por parte del gobierno autonómico –que no cuenta hasta ahora con un Plan Estratégico de ayuda a las ICC, como así disponen otras autonomías–, estableciendo una mejor conexión con los objetivos del programa Horizonte 2020.The Community of Madrid is one of the main focuses of Cultural and Creative Industries in Spain (CCI), therefore it is necessary to measure their socioeconomic impact in the region in aspects such as competitiveness, investment, employment and social cohesion. Objectives: The objective of this article is to introduce a model, using a harmonized and comparable methodology, that identifies the evolution of CCIs in the Community of Madrid (CAM) in the current context of digital change, so to understand public policies and gain awareness, from an Autonomic perspective, about to what extent they contribute to the generation of employment and social wellbeing. The purpose of our research is, therefore, the construction of tools that improve current statistical parameters and that promote their implementation by Autonomic governments -which doesn‟t have a Strategic Plan so far, as other Autonomies do–, establishing a better connection with the goals of Horizon 2020 Programme

Circulating omentin concentration increases after weight loss

<p>Abstract</p> <p>Background</p> <p>Omentin-1 is a novel adipokine expressed in visceral adipose tissue and negatively associated with insulin resistance and obesity. We aimed to study the effects of weight loss-induced improved insulin sensitivity on circulating omentin concentrations.</p> <p>Methods</p> <p>Circulating omentin-1 (ELISA) concentration in association with metabolic variables was measured in 35 obese subjects (18 men, 17 women) before and after hypocaloric weight loss.</p> <p>Results</p> <p>Baseline circulating omentin-1 concentrations correlated negatively with BMI (r = -0.58, p < 0.001), body weight (r = -0.35, p = 0.045), fat mass (r = -0.67, p < 0.001), circulating leptin (r = -0.7, p < 0.001) and fasting insulin (r = -0.37, p = 0.03). Circulating omentin-1 concentration increased significantly after weight loss (from 44.9 ± 9.02 to 53.41 ± 8.8 ng/ml, p < 0.001). This increase in circulating omentin after weight loss was associated with improved insulin sensitivity (negatively associated with HOMA value and fasting insulin, r = -0.42, p = 0.02 and r = -0.45, p = 0.01, respectively) and decreased BMI (r = -0.54, p = 0.001).</p> <p>Conclusion</p> <p>As previously described with adiponectin, circulating omentin-1 concentrations increase after weight loss-induced improvement of insulin sensitivity.</p

The MRC1/CD68 ratio is positively associated with adipose tissue lipogenesis and with muscle mitochondrial gene expression in humans

This is an open-access article distributed under the terms of the Creative Commons Attribution License.[Background]: Alternative macrophages (M2) express the cluster differentiation (CD) 206 (MCR1) at high levels. Decreased M2 in adipose tissue is known to be associated with obesity and inflammation-related metabolic disturbances. Here we aimed to investigate MCR1 relative to CD68 (total macrophages) gene expression in association with adipogenic and mitochondrial genes, which were measured in human visceral [VWAT, n = 147] and subcutaneous adipose tissue [SWAT, n = 76] and in rectus abdominis muscle (n = 23). The effects of surgery-induced weight loss were also longitudinally evaluated (n = ).[Results]: MCR1 and CD68 gene expression levels were similar in VWAT and SWAT. A higher proportion of CD206 relative to total CD68 was present in subjects with less body fat and lower fasting glucose concentrations. The ratio MCR1/CD68was positively associated with IRS1gene expression and with the expression of lipogenic genes such as ACACA, FASN and THRSP, even after adjusting for BMI. The ratio MCR1/CD68 in SWAT increased significantly after the surgery-induced weight loss (+44.7%; p = 0.005) in parallel to the expression of adipogenic genes. In addition, SWAT MCR1/CD68ratio was significantly associated with muscle mitochondrial gene expression (PPARGC1A, TFAM and MT-CO3). AT CD206 was confirmed by immunohistochemistry to be specific of macrophages, especially abundant in crown-like structures. [Conclusion]: A decreased ratio MCR1/CD68 is linked to adipose tissue and muscle mitochondrial dysfunction at least at the level of expression of adipogenic and mitochondrial genes. © 2013 moreno-navarrete et al.This work was supported by grant SAF-2009-10461 and grant PI11-00214 from the Ministerio de Economía y Competitividad, Spain.Peer Reviewe

Study of caveolin-1 gene expression in whole adipose tissue and its subfractions and during differentiation of human adipocytes

<p>Abstract</p> <p>Context</p> <p>Caveolins are 21-24 kDa integral membrane proteins that serve as scaffolds to recruit numerous signaling molecules. Specific subclasses of caveolae carry out specific functions in cell metabolism. In particular, triglycerides are synthesized at the site of fatty acid entry in one of these caveolae classes.</p> <p>Objective and Methods</p> <p>We studied the expression of caveolin-1 (<it>CAV-1</it>) gene in association with metabolic variables in 90 visceral and 55 subcutaneous adipose tissue samples from subjects with a wide range of fat mass, in the stromovascular fraction (SVC) and isolated adipocytes, and during differentiation of human adipocytes.</p> <p>Results</p> <p><it>CAV-1 </it>gene expression was significantly decreased in visceral adipose tissue (v-<it>CAV-1</it>) of obese subjects. v-<it>CAV-1 </it>was positively associated with several lipogenic genes such as acetyl-coA carboxylase (<it>ACACA</it>, r = 0.34, p = 0.004) and <it>spot-14 </it>(r = 0.33, p = 0.004). In non-obese subjects v-<it>CAV-1 </it>also correlated with fatty acid synthase (<it>FAS</it>, r = 0.60, p < 0.0001). Subcutaneous (sc) adipose tissue (s<it>c-CAV-1</it>) gene expression was not associated with these lipogenic factors when obese and non-obese subjects were studied together. In obese subjects, however, sc-<it>CAV-1 </it>was associated with fatty acid synthase (<it>FAS</it>, r = 0.36, p = 0.02), sterol regulatory element binding protein-1c (<it>SREBP-1c </it>(r = 0.58, p < 0.0001), <it>ACACA </it>(r = 0.33, p = 0.03), <it>spot-14 </it>(r = 0.36, p = 0.02), <it>PPAR-γ co-activator-1 </it>(<it>PGC-1</it>, r = 0.88, n = 19). In these obese subjects, <it>sc-CAV-1 </it>was also associated with fasting triglycerides (r = -0.50, p < 0.0001).</p> <p><it>CAV-1 </it>expression in mature adipocytes was significantly higher than in stromal vascular cells. <it>CAV-1 </it>gene expression in adipocytes from subcutaneous adipose tissue (but not in adipocytes from visceral adipose tissue) was significatively associated with fasting triglycerides. <it>CAV-1 </it>gene expression did not change significantly during differentiation of human preadipocytes from lean or obese subjects despite significant increase of FAS gene expression.</p> <p>Conclusion</p> <p>Decreased <it>CAV-1 </it>gene expression was simultaneously linked to increased triglycerides and decreased lipogenic gene expression among obese subjects, paralleling the observations of hypertriglyceridemia in <it>CAV-1 </it>knockout mice. However, the regulation of <it>CAV-1 </it>gene expression seems independent of the adipogenic program.</p

Artificial intelligence for automatically detecting animals in camera trap images: a combination of MegaDetector and YOLOv5

Camera traps have gained high popularity for collecting animal images in a cost-effective and non-invasive manner, but manually examining these large volumes of images to extract valuable data is a laborious and costly process. Deep learning, specifically object detection techniques, constitutes a powerful tool for automating this task. Here, we describe the development and result of a deep-learning workflow based on MegaDetector and YOLOv5 for automatically detecting animals in camera trap images. For the development, we first used MegaDetector, which automatically generated bounding boxes for 93.2% of the images in the training set, differentiating animals, humans, vehicles, and empty photos. This annotation phase allowed to discard useless images. Then, we used the images containing animals within the training dataset to train four YOLOv5 models, each one built for a group of species of similar aspects as defined by a human expert. Using four expert models instead of one reduces the complexity and variance between species, allowing for more precise learning within each of the groups. The final result is a workflow where the end-user enters the camera trap images into a global model. Then, this global model redirects the images towards the appropriate expert model. Finally, the final animal classification into a particular species is based on the confidence rates provided by a weighted voting system implemented among the expert models. We validated this workflow using a dataset of 120.000 images collected by 100 camera traps over five years in Andalusian National Parks (Spain) with a representation of 24 mammal species. Our workflow approach improved the global classification F1-score from 0.92 to 0.96. It increased the precision for distinguishing similar species, for example from 0.41 to 0.96 for C. capreolus; and from 0.24 to 0.73 for D. dama, often confounded with other ungulate species, which demonstrates its potential for animal detection in images.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Epidemiological, Clinical and Genetic Study of Hypophosphatasia in A Spanish Population: Identification of Two Novel Mutations in The Alpl Gene

Hypophosphatasia (HPP) is a genetic disease caused by one or several mutations in ALPL gene encoding the tissue-nonspecific alkaline phosphatase affecting the mineralization process. Due to its low prevalence and lack of recognition, this metabolic disorder is generally confused with other more frequent bone disorders. An assessment of serum total alkaline phosphatase (ALP) levels was performed in 78,590 subjects. Pyridoxal-5′-phosphate (PLP) concentrations were determined and ALPL gene was sequenced in patients potentially affected by HPP. Functional validation of the novel mutations found was performed using a cell-based assay. Our results showed persistently low serum ALP levels in 0.12% of subjects. Among the studied subjects, 40% presented with HPP-related symptoms. Nine of them (~28%) had a history of fractures, 5 (~16%) subjects showed chondrocalcinosis and 4 (~13%) subjects presented with dental abnormalities. Eleven subjects showed increased PLP concentrations. Seven of them showed ALPL gene mutations (2 of the mutations corresponded to novel genetic variants). In summary, we identified two novel ALPL gene mutations associated with adult HPP. Using this protocol, almost half of the studied patients were diagnosed with HPP. Based on these results, the estimated prevalence of mild HPP in Spain could be up to double than previously reported.Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco (with support from NIH P41-GM103311)grants from Alexion and FEIOMM, by Instituto de Salud Carlos III (grants PI18-00803 and PI18-01235)co-funding from FEDER and by Junta de Andalucía (grant PI-0207-2016)GM-N is supported by the predoctoral program from Instituto de Salud Carlos III (FI17/00178) and by the Research Initiation Grants for Official Master Students program from the University of Granada (2017)PJR is a Ramon y Cajal Researcher from the MINECO (RYC-2015-18383) at GENyO and University of Granada