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Assessing the quality of chest compressions with a DIY low‑cost manikin (LoCoMan) versus a standard manikin: a quasi‑experimental study in primary education
Get PDFExtending the access to cardiopulmonary resuscitation (CPR) training to a wider public is an important step in increasing survivability
of out-of-hospital cardiac arrest. However, often price and maintenance of CPR manikins are barriers that prevent
training at schools. This study aims to evaluate the learning of hands-only (HO) CPR by practicing with a low-cost manikin
(LoCoMan) with visual qualitative feedback and to compare the results with the skills acquired by practice on a conventional
manikin. A quasi-experimental study with 193 schoolchildren (10 to 12 years old) who were allocated to two groups: the
LoCoMan group was taught via an integrative approach (science combined with physical education (PE)) and practiced
on a handmade manikin, and a control group practiced in a traditional setting with a commercial manikin (Resusci Junior,
Laerdal, Norway). All participants practiced for 1 hands-on skill session before performing a post-test on an instrumented
CPR manikin. The outcomes including HO-CPR performance variables were compared between groups. The LoCoMan and
control groups both achieved acceptable percentage of HO-CPR quality (57% and 71%, p = 0.004). Among 6th-graders, there
were no significant differences in HO-CPR quality between LoCoMan 68% and control 71%, p = 0.66. The control group
achieved better chest compression depth while the LoCoMan group showed more compressions with adequate chest recoil.
Conclusion: Schoolchildren are able to build and use a low-cost manikin with visual feedback. The integrative learning
approach used in this study may be a feasible alternative methodology for training and learning HO-CPR in schools when
commercial manikins are not availableOpen Access funding provided thanks to the CRUE-CSIC
agreement with Springer Nature. Research funded by Instituto de Salud
Carlos III (ISCIII)—PI20/01355—co-funded by the European Union
(EU). Research funded by Instituto de Salud Carlos III (ISCIII)—PI23/00687—co-funded by the European Union (EU)S
GAN-based data augmentation for the classification of remote sensing multispectral images
Get PDFMultispectral images frequently suffer from limited labeled data, which constrains the accuracy of classification. The objective of data augmentation is to improve the performance of machine learning models by artificially increasing the size of the training dataset. This paper introduces mDAGAN, a data augmentation method for the classification of high resolution multispectral remote sensing images. It is an adaptation of DAGAN (Data Augmentation GAN) to
multispectral images, a generative adversarial network that consists of a generator and a discriminator. The augmentation capacity of mDAGAN for three different
classical supervised classification algorithms has been evaluated over three high resolution multispectral images of vegetation, providing increased classification accuracies
Sobre a novelística de Carmen Blanco: Escrita total. Identificar unha visión: "Atracción total", de Carmen Blanco
Get PDFInclúe un retrato de Carmen Blanco por Sara Lamas e "O tempo dos amantes", debuxo de Carmen Blanco
Selective electrochemical oxidation of organic compounds in a mass transfer-enhanced electrochemical flow reactor (esingle bondNETmix)
No full textesingle bondNETmix stands as an electrochemical flow reactor engineered to enhance mass transfer. This study aimed at assessing the performance of the esingle bondNETmix reactor in the realm of organic electrosynthesis. Specifically, the research focused on the selective electrochemical oxidation of 4-methoxybenzyl alcohol (4-MBA) to p-anisaldehyde (PAA) using a bare fluorine-doped tin oxide (FTO) anode. The efficiency of the process was assessed for distinct current densities (j), Reynolds numbers (Re), supporting electrolyte contents, and substrate initial contents. The esingle bondNETmix reactor was extensively compared to a commercial electrochemical flow reactor (MicroFlowCell from ElectroCell, Denmark). esingle bondNETmix facilitated the use of a broader range of j (0.8–2.0 mA cm−2 versus 0.8 mA cm−2) together with smaller Re (≥190 versus >1750), supporting electrolyte contents (≥1 mM versus ≥30 mM), and substrate initial contents (≥2.0 mM versus ≥3.0 mM) with no loss of PAA production or energy consumption. These findings underscore a remarkable suitability of esingle bondNETmix as a reactor for organic electrosynthesis.This work was financially supported by projects EXPL/EAM-AMB/0216/2021 (LigTech; http://doi.org/10.54499/EXPL/EAM-AMB/0216/2021), UIDB/50020/2020 and UIDP/50020/2020 (LSRE-LCM), and LA/P/0045/2020 (ALiCE), funded by national funds through FCT/MCTES (PIDDAC); project PID2020–117686RB-C32, funded by the Spanish State Research Agency - AEI/10.13039/501100011033; and project ED431C 2021/06, funded by Consellería de Economía e Industria, Xunta de Galicia. Clarissa H. Rosa acknowledges her PhD scholarship supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (200860/2018–6). Daniela F.S. Morais acknowledges her PhD scholarship supported by FCT (SFRH/BD/146476/2019; https://doi.org/10.54499/SFRH/BD/146476/2019). Carlos J. Tavares acknowledges the funding from FCT through the Strategic Funds project reference UIDB/04650/2020–2023. Vítor J.P. Vilar and Francisca C. Moreira acknowledge the FCT Individual Call to Scientific Employment Stimulus 2017 (CEECIND/01317/2017 and CEECIND/02196/2017, respectively).S
Mathematical perspective on XFEM implementation for models involving contribution on interfaces
Get PDFModels involving interfaces with discontinuities or even singularities of some fields across them are very frequent in real life problems modelling. In the last decades, the use of the eXtended Finite Element Method (XFEM) instead of the traditional FEM has become more and more popular, mainly because of two advantages: the mesh of the domain can be independent of the interface position, therefore avoiding remeshing, and it allows to enrich an area with specific shape functions fitted to the particular properties (singularities, discontinuities) of the expected solution, obtaining more accurate results with less computational efforts. Nevertheless, a critical point of XFEM is its implementation since it varies from one problem to another, due to the different kind (and number) of degrees of freedom on each node. A diligent organization of nodes, degrees of freedom and enrichment functions is fundamental to achieve an efficient implementation. Our aim in this paper is to provide a common reference framework for the implementation of XFEM from a mathematical point of view, providing the readers with a set of tools that will allow them to apply it to any kind of problem. To this aim, we present a detailed description of XFEM implementation, with special emphasis on the terms that involve integration over interfaces. The proposed tools are presented in a general context, and as an example, we will apply them to a problem of solids mechanics. In particular, we will contextualize the procedure on a Rayleigh waves propagation problem in a cracked structure considering a Signorini contact condition on the crack sides.This work has been supported by FEDER, Xunta de Galicia, Spain funds under the ED431C 2017/60 and ED431C 2021/15 grants and by the Ministry of Science and Innovation, Spain through the Agencia Estatal de Investigación (PID2019-105615RB-I00/AEI / 10.13039/501100011033) and European Union Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement No 823731 CONMECH.S
Mediación penal e resolución de conflitos (parte penal): apuntes da materia G3191329B, 3º Grao de Criminoloxía
No full textE-consulta. Un nuevo modelo asistencial de relación entre Atención Primaria y un Servicio hospitalario de Cardiología
No full textLos cambios en la organización sanitaria se implementan, pero no es habitual analizar su impacto en términos de seguridad ni eficiencia. En el Área Sanitaria de Santiago de Compostela y Barbanza, está funcionando la e-consulta universal entre Atención Primaria y el Servicio de Cardiología desde el 2013 que mejora la comunicación entre profesionales y la accesibilidad de la población a los cuidados sanitarios. En esta tesis se presenta el resultado obtenido tras analizar el modelo de e-consulta universal entre Atención Primaria y el Servicio de Cardiología, comparándolo con el modelo previo de consulta de acto único, en términos de seguridad (reducción de asistencias a urgencias, ingresos hospitalarios y mortalidad), accesibilidad y costes asociado
Reflexiones críticas sobre el régimen de cumplimiento de penas accesorias con otras penas principales de inhabilitación
No full textHow and when employees' attributions of their employers' CSR activities affect their extra‐role work behavior
Get PDFThe objective of this research is to examine how and when employees' attributions of corporate social responsibility (CSR) affect their extra-role service behaviors. The research analyses the mediating role of work meaningfulness in the employees' CSR attributions–extra-role behaviors relationships. The moderating role of employees' attitudes toward CSR in both the relationships between CSR attributions and work meaningfulness and in the mediated relationship is also studied. The hypotheses were tested on a sample of 204 frontline employees of four- and five-star hotels in Spain using structural equations and the PROCESS macro. The results indicate that only substantive CSR attributions positively influenced employees' extra-role service behaviors and that the relationship occurs through the work meaningfulness experienced by employees. While substantive CSR attributions boosted work meaningfulness and subsequent extra-role service behavior regardless of personal attitudes toward CSR, the link between symbolic CSR attributions and work meaningfulness as well as the mediated relationship with extra-role service behaviors were found to be moderated by employees' personal attitudes toward CSR. When employees had lower personal attitudes toward CSR, symbolic CSR attributions positively affected work meaningfulness and extra-role service behavior; when attitudes toward CSR were higher, the relationships were not significant. Interesting theoretical contributions and practical insights follow from these findings.This work was supported by Conselleria de Cultura, Educacion e Ordenacion Universitaria, Xunta de Galicia (Grant Number ED431B 2019/15).S
Neural networks allow the automatic verification of the type of flour, analysing the starch granule morphology, to ensure the protected geographical indication ‘Galician Bread’
Get PDFQuality control of flour is essential to control the quality of bread produced from it. We propose a control method based on the morphological characteristics of the granules of starch. The automation of the identification, segmentation and determination of the average size of the granules of starch of each of the cereals that make up a flour, from microscopy images, is an essential procedure for producers who want to produce bread under the protected geographical indication (PGI) ‘Galician Bread’. This identification and counting procedure, if performed manually, is a tedious activity for a trained expert, and is very time consuming. Thus, automating this task would streamline the process, in addition to saving a great deal of time. This paper addresses this problem by using deep learning approaches (Mask R–CNN) to predict the type of the granule of starch and its size for the first time. The trained models are then evaluated with the same raw microscopy images of these granules observed under polarized light, as has been previouly used for manual identification and counting. A dataset comprising 1308 2564 × 1924-pixel images is analysed. The images contain 17000 labelled granules of starch for two types of wheat: commercial wheat flour from ‘Castilla’ (type 0) and the Galician autochthonous flour ‘Caaveiro’ (type 1). The number of samples is approximately the same for each class. Instance segmentation with Mask R–CNN (Model II) achieved valid results for unseen images, with a categorical global accuracy of about 88.6% and with a discrepancy with respect to the areas of the granules as estimated by a human expert of less than 4%. The performance achieved by Mask R–CNN produces a strong correlation between the results of an expert and the results of the network, confirming the practical validity of our proposalThis study was funded by the project ‘Farm to Fork of Autochthonous Cereals in Ecological vs. Conventional Management’ (CECOLECOPAN). Grants 2021 of “State Subprogram for Knowledge Generation” in the framework of State Program to Promote Scientific-Technical Research and its Transfer of the State Plan for Scientific and Technical Research and Innovation 2021–2023. PID2021-123905OB-I00. Nerea Fernández-Canto is grateful to the Xunta de Galicia for her predoctoral research fellowship (ED481A-2019/263)S