240 research outputs found
Species Distribution Models at Regional Scale: Cymodocea nodosa Seagrasses
Despite their ecological and socio-economic importance, seagrasses are often overlooked in
comparison with terrestrial ecosystems. In the Canarian archipelago (Spain), Cymodocea nodosa is the
best-established species, sustaining the most important marine ecosystem and providing ecosystem
services (ES) of great relevance. Nevertheless, we lack accurate and standardized information regarding
the distribution of this species and its ES supply. As a first step, the use of species distribution
models is proposed. Various machine learning algorithms and ensemble model techniques were
considered along with freely available remote sensing data to assess Cymodocea nodosa’s potential distribution.
In a second step, we used InVEST software to estimate the ES provision by this phanerogam
on a regional scale, providing spatially explicit monetary assessments and a habitat degradation characterization
due to human impacts. The distribution models presented great predictive capabilities
and statistical significance, while the ES estimations were in concordance with previous studies. The
proposed methodology is presented as a useful tool for environmental management of important
communities sensitive to human activities, such as C. nodosa meadows.En prensa0,64
Influencia de los activos familiares en los activos sociales durante la transición de la infancia a la adolescencia
Introducción: La transición de la infancia a la adolescencia es una etapa marcada por cambios
físicos, psíquicos, ambientales, etc. Una adaptación exitosa, asegura un futuro positivo. Objetivo: El
objetivo de esta revisión narrativa es señalar las posibles relaciones que existen entre los activos
familiares con el desarrollo de los activos sociales, en la transición de la infancia a la adolescencia.
Metodología: La revisión narrativa se llevó a cabo en 4 bases de datos: PubMed, CINAHL, Psycinfo y
Scopus. Resultados: 7 artículos fueron escogidos. Uno de los grandes hallazgos de esta revisión fue
la importancia de la calidad del monitoreo y del apoyo familiar sobre la influencia que ejercían estas
sobre el desarrollo de los activos sociales. Se observó una influencia del monitoreo parental sobre la
asociación con iguales delincuentes, la participación en actividades delictivas y el desarrollo del
autocontrol. El apoyo familiar demostró una asociación con el desarrollo del autocontrol, la satisfacción
de establecer relaciones significativas, el desarrollo de problemas con iguales, la participación en
relaciones románticas y la calidad de estas, así como la de las amistades. Conclusiones: Queda
patente la necesidad de intervenir sobre la familia de forma preventiva y potenciadora de la salud de
nuestra población más joven.Introduction: The transition from childhood to adolescence is a stage of life marked by physical,
psychic and environmental changes. These changes force the children and teenagers to adapt under a
lot of stress. Objective: The aim of this review is to point at the existing evidence on the relations
between family assets and the development of social assets during the transition from childhood to
middle adolescence. Methodology: In this narrative review four databases were used: PubMed,
Psycinfo, CINAHL and Scopus. Results: 7 Articles were selected. A major finding was made, the
influence of monitoring and family support on the social assets was mediated by the quality of some
family assets. Parental monitoring influenced the development of delinquent behaviors, the association
with delinquent peers and the development of self-control. Also, family support has shown an impact on
the development of self-control, the relatedness need satisfaction, having problems with peers, the
quality and the participation on early romantic relationships and friendships. Conclusion: With the
strong effect of family on the development of social competencies, we can assure the need of an
intervention on the family, focusing on the preventing and boosting effect on the health of our youngest
population
Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions
The new method is proposed to monitor the level of current physical load and
accumulated fatigue by several objective and subjective characteristics. It was
applied to the dataset targeted to estimate the physical load and fatigue by
several statistical and machine learning methods. The data from peripheral
sensors (accelerometer, GPS, gyroscope, magnetometer) and brain-computing
interface (electroencephalography) were collected, integrated, and analyzed by
several statistical and machine learning methods (moment analysis, cluster
analysis, principal component analysis, etc.). The hypothesis 1 was presented
and proved that physical activity can be classified not only by objective
parameters, but by subjective parameters also. The hypothesis 2 (experienced
physical load and subsequent restoration as fatigue level can be estimated
quantitatively and distinctive patterns can be recognized) was presented and
some ways to prove it were demonstrated. Several "physical load" and "fatigue"
metrics were proposed. The results presented allow to extend application of the
machine learning methods for characterization of complex human activity
patterns (for example, to estimate their actual physical load and fatigue, and
give cautions and advice).Comment: 12 pages, 10 figures, 1 table; presented at XXIX IUPAP Conference in
Computational Physics (CCP2017) July 9-13, 2017, Paris, University Pierre et
Marie Curie - Sorbonne (https://ccp2017.sciencesconf.org/program
Stimuli Characteristics and Psychophysical Requirements for Visual Training in Amblyopia: A Narrative Review
Active vision therapy using perceptual learning and/or dichoptic or binocular environments has shown its potential effectiveness in amblyopia, but some doubts remain about the type of stimuli and the mode and sequence of presentation that should be used. A search was performed in PubMed, obtaining 143 articles with information related to the stimuli used in amblyopia rehabilitation, as well as to the neural mechanisms implied in such therapeutic process. Visual deficits in amblyopia and their neural mechanisms associated are revised, including visual acuity loss, contrast sensitivity reduction and stereopsis impairment. Likewise, the most appropriate stimuli according to the literature that should be used for an efficient rehabilitation of the amblyopic eye are described in detail, including optotypes, Gabor’s patches, random-dot stimuli and Vernier’s stimuli. Finally, the properties of these stimuli that can be modified during the visual training are discussed, as well as the psychophysical method of their presentation and the type of environment used (perceptual learning, dichoptic stimulation or virtual reality). Vision therapy using all these revised concepts can be an effective option for treating amblyopia or accelerating the treatment period when combining with patching. It is essential to adapt the stimuli to the patient’s individual features in both monocular and binocular training.The authors C.J.H.-R., D.P.P., A.M.-M., D.d.F., L.L.-V., M.B.C.-M. have been funded by CDTI (Centro para el Desarrollo Tecnológico Industrial, Ministry of Economy and Competitiveness of Spain) and FEDER (Fondos Europeos de Desarrollo Regional) funds by means of the program PID (“Proyectos de Investigación y Desarrollo”) in the context of the Project NEIVATECH (“Neuroplasticity through virtual reality for amblyopia”, application number 111705). The author León Morales-Quezada is supported by funding from the Spaulding Research Catalyst award. The author David P Piñero has been also supported by the Ministry of Economy, Industry and Competitiveness of Spain within the program Ramón y Cajal, RYC-2016-20471
Configuración de las Redes Alimentarias Alternativas en el occidente de México
Introducción: La aparición y pronta propagación de la COVID-19 se ha sumado a crisis anteriores poniendo de manifiesto riesgos latentes, entre ellos los relacionados con la alimentación. Las Redes Alimentarias Alternativas formadas por grupos orientados a la producción, distribución y consumo de alimentos, han representado una posibilidad de acceso a alimentos sanos, ecológicamente sustentables y con prácticas socialmente más justas. El crecimiento de estas redes ha sido exponencial en las últimas décadas, y la situación de emergencia las ha llevado a reconfigurarse con rapidez. En este sentido, se aborda la manera en que se han reconfigurado estas redes en el Occidente de México. Metodología: Con enfoque cuantitativo y cualitativo, se exploran 96 experiencias distribuidas en cuatro estados del país: Colima, Jalisco, Michoacán y Nayarit. Resultados: Se parte de la categorización de las redes y su análisis, respondiendo dos preguntas principales ¿Cuáles son las pautas organizativas de estos colectivos en el Occidente de México?, ¿Cómo fueron reconfiguradas tales pautas durante la emergencia sanitaria? Conclusiones: Una serie de mecanismos que venían funcionando previo a la pandemia, han favorecido la redefinición espacial y temporal de las organizaciones que conforman Redes Alimentarias Alternativas, basándose en principios comunes de soberanía alimentaria, agroecología y economía solidaria
High accuracy 234U(n,f) cross section in the resonance energy region
New results are presented of the 234U neutron-induced fission cross section, obtained with high accuracy in the resonance region by means of two methods using the 235U(n,f) as reference. The recent evaluation of the 235U(n,f) obtained with SAMMY by L. C. Leal et al. (these Proceedings), based on previous n-TOF data [1], has been used to calculate the 234U(n,f) cross section through the 234U/235U ratio, being here compared with the results obtained by using the n-TOF neutron flux
The measurement programme at the neutron time-of-flight facility n-TOF at CERN
Neutron-induced reaction cross sections are important for a wide variety of research fields ranging from the study of nuclear level densities, nucleosynthesis to applications of nuclear technology like design, and criticality and safety assessment of existing and future nuclear reactors, radiation dosimetry, medical applications, nuclear waste transmutation, accelerator-driven systems and fuel cycle investigations. Simulations and calculations of nuclear technology applications largely rely on evaluated nuclear data libraries. The evaluations in these libraries are based both on experimental data and theoretical models. CERN's neutron time-of-flight facility n-TOF has produced a considerable amount of experimental data since it has become fully operational with the start of its scientific measurement programme in 2001. While for a long period a single measurement station (EAR1) located at 185 m from the neutron production target was available, the construction of a second beam line at 20 m (EAR2) in 2014 has substantially increased the measurement capabilities of the facility. An outline of the experimental nuclear data activities at n-TOF will be presented
Measurement of the 240Pu(n,f) cross-section at the CERN n-TOF facility : First results from experimental area II (EAR-2)
The accurate knowledge of the neutron-induced fission cross-sections of actinides and other isotopes involved in the nuclear fuel cycle is essential for the design of advanced nuclear systems, such as Generation-IV nuclear reactors. Such experimental data can also provide the necessary feedback for the adjustment of nuclear model parameters used in the evaluation process, resulting in the further development of nuclear fission models. In the present work, the 240Pu(n,f) cross-section was measured at CERN's n-TOF facility relative to the well-known 235U(n,f) cross section, over a wide range of neutron energies, from meV to almost MeV, using the time-of-flight technique and a set-up based on Micromegas detectors. This measurement was the first experiment to be performed at n-TOF's new experimental area (EAR-2), which offers a significantly higher neutron flux compared to the already existing experimental area (EAR-1). Preliminary results as well as the experimental procedure, including a description of the facility and the data handling and analysis, are presented
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