Feminist contributions sustainable development : from global to local

22 páginas.Trabajo de Curso de Experto Universitario en Cooperación y Acción Internacional Municipal (2019). Directores: Nuria Cordero Ramos, Jesús Delgado Baena ; Tutora: María del Mar Palacios Córdoba. Este artículo pretende ser una aproximación a las aportaciones de las mujeres, individual y colectivamente y su relevancia en los procesos de desarrollo sustentable, haciendo hincapié en la teoría del cuidado. Para ello, se hará una breve reflexión sobre género y desarrollo sustentable y la interacción de ambas contribuciones del ecofeminismo y la economía feminista. Para ilustrarlo se expone el caso de la Asociación de Mujeres “Hierbabuena” de Écija.This article aims to examine the contributions of women, both individually and collectively and their impact onn sustainable development processes with an emphasis on the theory of caring. To this end, a brief reflexion will be made on how ecofeminism and feminist economics have contributed to gender and sustainable development and their mutual interacion. To give futher insight, the case of the “Hierbabuena”, Women´s Association of Écija, is exposed

Acquisition of business intelligence from human experience in route planning

This is an Accepted Manuscript of an article published by Taylor & Francis Group in Enterprise Information Systems on 2015, available online at:http://www.tandfonline.com/10.1080/17517575.2012.759279The logistic sector raises a number of highly challenging problems. Probably one of the most important ones is the shipping planning, i.e., plan the routes that the shippers have to follow to deliver the goods. In this paper we present an AI-based solution that has been designed to help a logistic company to improve its routes planning process. In order to achieve this goal, the solution uses the knowledge acquired by the company drivers to propose optimized routes. Hence, the proposed solution gathers the experience of the drivers, processes it and optimizes the delivery process. The solution uses Data Mining to extract knowledge from the company information systems and prepares it for analysis with a Case-Based Reasoning (CBR) algorithm. The CBR obtains critical business intelligence knowledge from the drivers experience that is needed by the planner. The design of the routes is done by a Genetic Algorithm (GA) that, given the processed information, optimizes the routes following several objectives, such as minimize the distance or time. Experimentation shows that the proposed approach is able to find routes that improve, in average, the routes made by the human experts.This work has been partially supported by the SpanishMinistry of Science and Innovation under the projects ABANT (TIN 2010-19872) and by Jobssy.com company under Project FUAM-076913

Knowledge associated with the support provided by couples to climacteric women in Mexican population

The support that couples provide to women during the climacteric is essential for a less complex transition. One of the factors that could influence is the knowledge they have about the physical, psychological and social manifestations, hence the importance of this study, from which it is based on a proposal about nursing educational intervention programs. Objective of this study: To analyze the correlation between the knowledge and support provided by couples of women during the climacteric. Methodology: Quantitative, correlational and transversal research. The sample includes 100 participants, a couple of women aged 45 to 59 years old. The instrument was a questionnaire validated by experts, where a reliability of .758 was obtained. The application was by google.doc (https://goo.gl/forms/xJykXtbxiFGNS5yq2). The results are: the level of knowledge among the couples of women was regular to deficient 82%; The level of support was 49% among deficient and regular. Significant statistical correlation was found (p≥0.05) with Chi2 test. Conclusion The level of knowledge is deficient in the couples of women during climacteric and only half of it, provide support, which supports nursing educational interventions climacteric social support, women, couplesS/

Clustering avatars behaviours from Virtual Worlds interactions

This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 4th International Workshop on Web Intelligence & Communities, http://dx.doi.org/10.1145/2189736.2189743Virtual Worlds (VWs) platforms and applications provide a practical implementation of the Metaverse concept. These applications, as highly inmersive and interactive 3D environments, have become very popular in social networks and games domains. The existence of a set of open platforms like OpenSim or OpenCobalt have played a major role in the popularization of this technology and they open new exciting research areas. One of these areas is behaviour analysis. In virtual world, the user (or avatar) can move and interact within an artificial world with a high degree of freedom. The movements and iterations of the avatar can be monitorized, and hence this information can be analysed to obtain interesting behavioural patterns. Usually, only the information related to the avatars conversations (textual chat logs) are directly available for processing. However, these open platforms allow to capture other kind of information like the exact position of an avatar in the VW, what they are looking at (eye-gazing) or which actions they perform inside these worlds. This paper studies how this information, can be extracted, processed and later used by clustering methods to detect behaviour or group formations in the world. To detect the behavioural patterns of the avatars considered, clustering techniques have been used. These techniques, using the correct data preprocessing and modelling, can be used to automatically detect hidden patterns from data.This work has been partly supported by: Spanish Ministry of Science and Education under the project TIN2010-1987

A simple CSP-based model for unmanned air vehicle mission planning

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. C. Ramírez-Atencia, G. Bello-Orgaz, M. D. R.-Moreno, and D. Camacho, "A simple CSP-based model for Unmanned Air Vehicle Mission Planning", in 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014, pp. 146 - 153The problem of Mission Planning for a large number of Unmanned Air Vehicles (UAV) can be formulated as a Temporal Constraint Satisfaction Problem (TCSP). It consists on a set of locations that should visit in different time windows, and the actions that the vehicle can perform based on its features such as the payload, speed or fuel capacity. In this paper, a temporal constraint model is implemented and tested by performing Backtracking search in several missions where its complexity has been incrementally modified. The experimental phase consists on two different phases. On the one hand, several mission simulations containing (n) UAVs using different sensors and characteristics located in different waypoints, and (m) requested tasks varying mission priorities have been carried out. On the other hand, the second experimental phase uses a backtracking algorithm to look through the whole solutions space to measure the scalability of the problem. This scalability has been measured as a relation between the number of tasks to be performed in the mission and the number of UAVs needed to perform it.This work is supported by the Spanish Ministry of Science and Education under Project Code TIN2010-19872 and Savier Project (Airbus Defence & Space, FUAM-076915). The authors would like to acknowledge the support obtained from Airbus Defence & Space, specially from Savier Open Innovation project members: Jose Insenser, C ´ esar Castro and ´ Gemma Blasco

Branching to find feasible solutions in unmanned air vehicle mission planning

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-10840-7_35Proceedings 15th International Conference, Salamanca, Spain, September 10-12, 2014.Mission Planning is a classical problem that has been traditionally studied in several cases from Robotics to Space missions. This kind of problems can be extremely difficult in real and dynamic scenarios. This paper provides a first analysis for mission planning to Unmanned Air Vehicles (UAVs), where sensors and other equipment of UAVs to perform a task are modelled based on Temporal Constraint Satisfaction Problems (TCSPs). In this model, a set of resources and temporal constraints are designed to represent the main characteristics (task time, fuel consumption, ...) of this kind of aircrafts. Using this simplified TCSP model, and a Branch and Bound (B&B) search algorithm, a set of feasible solutions will be found trying to minimize the fuel cost, flight time spent and the number of UAVs used in the mission. Finally, some experiments will be carried out to validate both the quality of the solutions found and the spent runtime to found them.This work is supported by the Spanish Ministry of Science and Education under Project Code TIN2010-19872 and Savier Project (Airbus Defence & Space, FUAM-076915)

A comprehensive study of a new versatile microchip device based liquid phase microextraction for stopped-flow and double-flow conditions

A new geometry for a versatile microfluidic-chip device based liquid phase microextraction was developed in order to enhance the preconcentration in microfluidic chips and also to enable double-flow and stopped-flow working modes. The microchip device was combined with a HPLC procedure for the simultaneous determination of two different families as model analytes, which were parabens and non-steroidal anti-inflammatories (NSAIDs): Ethyl 4-hydroxybenzoate (Et-P), Propyl 4-hydroxybenzoate (Pr-P), Butyl 4-hydroxybenzoate (Bu-P), IsoButyl 4-hydroxybenzoate (iBu-P), salycilic acid (SAC), ketoprofen (KET), naproxen (NAX), diclofenac (DIC) and ibuprofen (IBU) in urine samples. The new miniaturized microchip proposed in this work allows not only the possibility of working in double-flow conditions, but also under stagnant conditions (stopped-flow) (SF-μLPME). The sample (pH 1.5) was delivered to the SF-μLPME at 20 μL min−1 while keeping the acceptor phase (pH 11.75) under stagnant conditions during 20 min. The highest enrichment factors (between 16 and 47) were obtained under stopped-flow conditions at 20 μL min−1 (sample flow rate) after 20 min extraction; whereas the extraction efficiencies were within the range of 27–81% for all compounds. The procedure provided very low detection limits between 0.7 and 8.5 μg L−1 with a sample volume consumption of 400 μL. Parabens and NSAIDs have successfully been extracted from urine samples with excellent clean up and recoveries over 90% for all compounds. In parallel, the new device was also tested under double flow conditions, obtaining good but lower enrichment factors (between 9 and 20) and higher extraction efficiencies (between 45 and 95) after 7 min extraction, consuming a volume sample of 140 μL. The versatile device offered very high extraction efficiencies and good enrichment factor for double flow and stopped-flow conditions, respectively. In addition, this new miniaturized SF-μLPME device significantly reduced costs compared to the existing analytical techniques for sample preparation since this microchip require few microliters of sample and reagents and it is reusabl

THE STRATIGRAPHY OF THE UPPER BATHONIAN TO MIDDLE OXFORDIAN SUCESSION OF THE ARAGONESE BRANCH OF THE CORDILLERA IBÉRICA (SPAIN) AND ITS EUROPEAN CONTEXT

The Upper Bathonian-Middle Oxfordian succession of the Aragonese branch of the Cordillera Ibérica is one of the most completely developed in Europe and includes localities of international importance for Jurassic bio- and chronostratigraphy. Of particular importance are a potential stratotype for the Upper Bathonian of North West Europe and reference sections for a number of Submediterranean Province Middle Oxfordian biostratigraphic units. The intervening Callovian sequence, albeit locally strongly condensed, also includes faunas of key stratigraphical importance. The sequence of stratigraphically important ammonite faunas for this interval is here reviewed and placed in its European context

Urine and saliva biomonitoring by HF-LPME-LC/MS to assess dinitrophenols exposure

In this work, the determination of 2,4-, 2,5- and 2,6-dinitrophenols and the identification of some of their metabolites in human urine and saliva is proposed. A three phase hollow fiber based liquid phase microextraction prior to ultra-high performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry allowed low detection and quantitation limits of the target analytes, as well as the investigation and tentatively identification of some metabolites by accurate mass full-spectrum measurements. The chromatographic separation was accomplished on an Acquity BEH C18 column (50 mm × 2.1 mm i.d., 1.7 μm particle size) at 25 ºC using water and acetonitrile (with 0.1 % (v/v) formic acid) 20:80 v/v as mobile phase, at a flow rate of 0.5 mL/min in isocratic elution mode for 5 min. Hollow fiber liquid phase microextraction was achieved at donor phase pH 2, acceptor phase pH 13 and dihexylether as supported liquid membrane. Under the optimal conditions, detection limits for 2,4-, 2,5- and 2,6-dinitrophenol, respectively, were 0.18 μg·L-1, 0.38 μg·L-1 and 0.14 μg·L-1 in urine samples and 0.32 μg·L-1, 0.67 μg·L-1 and 0.24 μg·L-1 in saliva samples. The proposed methodology was applied on urine and saliva samples from laboratory staff likely to be or not occupationally exposed to dinitrophenols, finding quantitative levels of 2,4- and 2,6-dinitrophenol and identifying some metabolites previously reported in literature.Ministerio de Economía y Competitividad (MINECO). España CTM2015-67902-C-1-PMinisterio de Ciencia e Innovación (MICIN). España GC2018-096608-B-C22European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) GC2018-096608-B-C2

Textural, Microstructural and Chemical Characterization of Ferritic Stainless Steel Affected by the Gold Dust Defect

The “gold dust defect” (GDD) appears at the surface of ferritic stainless steels (FSS) and degrades their appearance. Previous research showed that this defect might be related to intergranular corrosion and that the addition of aluminium improves surface quality. However, the nature and origin of this defect are not properly understood yet. In this study, we performed detailed electron backscatter diffraction analyses and advanced monochromated electron energy-loss spectroscopy experiments combined with machine-learning analyses in order to extract a wealth of information on the GDD. Our results show that the GDD leads to strong textural, chemical, and microstructural heterogeneities. In particular, the surface of affected samples presents an -fibre texture which is characteristic of poorly recrystallised FSS. It is associated with a specific microstructure in which elongated grains are separated from the matrix by cracks. The edges of the cracks are rich in chromium oxides and MnCr2O4 spinel. In addition, the surface of the affected samples presents a heterogeneous passive layer, in contrast with the surface of unaffected samples, which shows a thicker and continuous passive layer. The quality of the passive layer is improved with the addition of aluminium, explaining the better resistance to the GDD