125 research outputs found

    Estudio del manejo de malezas acuĂĄticas en canales de riego

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    La zona de regadío del Valle Inferior del Río Colorado {VIRC} presenta una elevada infestación de malezas acuåticas en los canales de riego, lo cual dificulta la distribución del agua a los productores. Por lo tanto, se estudiara el ciclo de Chora contraria y diversas estrategias de manejo. Los objetivos de este trabajo son -muestrear del crecimiento de Chara contraria durante la estación de riego. -evaluar herbicidas aplicables al agua de riego. -modificarla maquinaria utilizada en el control mecånico, para hacerlo mås eficiente. -analizar el efecto del secado ocasional de canales de riego.Área: Ciencias Agrícolas, Produccion y Salud Anima

    Design thinking as a tool to the teaching of children, and teachers in the 21st century: An Integrative Review

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    Children become more motivated to learn when what is presented to them reflects or simulates their own reality, providing a sense of authenticity to education. This article aims to analyse which studies have already been carried out in the scope of the use and teaching of Design Thinking for children in the school environment. In order to achieve this aim, a descriptive exploratory research was conducted, based on the integrative literature review, with the Scopus and Web of Science platforms as the basis. It was noticed that Design Thinking is a valuable tool for the empowerment of children and adolescents, as it stimulates empathy, communication, creativity, and the ability to analyse and solve problems. One point that should be drawn from the articles is that there is few formally structured materials on the use of Design Thinking as a pedagogical practice, which can hinder its more accelerated dissemination. Finally, although interventions are centred on children and adolescents, educators need to realize that they are the primary factor for transformation, through their involvement, dedication, and attitude. Therefore, they need to be qualified, aware of their role as facilitators, guiding in this collaborative journey of critical thinking, and problem-solving in an innovative and future-oriented way

    Functional characterization of a putative Glycine max ELF4 in transgenic arabidopsis and its role during flowering control.

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    Flowering is an important trait in major crops like soybean due to its direct relation to grain production. The circadian clock mediates the perception of seasonal changes in day length and temperature to modulate flowering time. The circadian clock gene EARLY FLOWERING 4 (ELF4) was identified in Arabidopsis thaliana and is believed to play a key role in the integration of photoperiod, circadian regulation, and flowering. The molecular circuitry that comprises the circadian clock and flowering control in soybeans is just beginning to be understood. To date, insufficient information regarding the soybean negative flowering regulators exist, and the biological function of the soybean ELF4 (GmELF4) remains unknown. Here, we investigate the ELF4 family members in soybean and functionally characterize a GmELF4 homologous gene. The constitutive overexpression of GmELF4 delayed flowering in Arabidopsis, showing the ELF4 functional conservation among plants as part of the flowering control machinery. We also show that GmELF4 alters the expression of Arabidopsis key flowering time genes (AtCO and AtFT), and this down-regulation is the likely cause of flowering delay phenotypes. Furthermore, we identified the GmELF4 network genes to infer the participation of GmELF4 in soybeans. The data generated in this study provide original insights for comprehending the role of the soybean circadian clock ELF4 gene as a negative flowering controller

    Sewage sludge and rice husk as potential substrate to produce Mimosa setosa seedlings

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    In the production of forest seedlings one of the main factors to be analyzed is the formulation of the substrate that meets the needs of the plants that will be produced. For this, the choice of substrate must consider the physical characteristics of the material, its chemical composition, as well as its availability, quality, easy handling and cost. This study aimed to investigate the potential of sewage sludge and rice husk for the production of seedlings of Mimosa setosa. The experiment was conducted in structures of a forest nursery, localized in the municipality of Alegre-ES, in 110 cmÂł tubes arranged in a completely randomized design constituted by ten treatments with four replications of 54 seedlings per plot. The treatments were formulated using sewage sludge, raw rice husks and carbonized rice husk. At five months after sowing we measured plant height, root collar diameter, height/diameter ratio, shoot dry weight, root dry weight, total dry matter, shoot to root dry weight ratio and Dickson Quality Index. The substrates formulated with carbonized rice husk promoted the best results for all morphological characteristics analyzed. The multivariate analysis showed higher correlation of treatments with carbonized rice husk (T6, T7, T8 and T9) regarding height, root collar diameter, root dry weight, shoot dry weight and total dry matter. For the production of Mimosa setosa seedlings the best responses resulted from the substrate formulated with 60% sewage sludge + 40% carbonized rice husk

    A study of neural networks for natural language processing

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    L’idĂ©e initiale de ce travail de recherche Ă©tait de fournir aux professeurs, que ce soit de hautes Ă©coles ou non, un outil qui leur permettrait de pouvoir corriger automatiquement les examens de leurs Ă©tudiants. Pour cela, le prototype aurait besoin d’une liste des questions, d’une liste des rĂ©ponses justes et des copies des Ă©tudiants. Pour pouvoir mettre une idĂ©e pareille en pratique, nous avions comme idĂ©e d’utiliser un rĂ©seau de neurones artificiels sans que je n’y connaisse rien, hormis le nom. Ce travail va donc ĂȘtre dĂ©coupĂ© en deux parties : - Recherche, comprĂ©hension et choix - Prototypage et synthĂšse Ainsi, ce travail a donc pour but d’explorer quelques types de rĂ©seaux de neurones artificiels existants pour le traitement de texte, en s’appropriant leur fonctionnement et d’en choisir un qui va nous servir pour construire notre rĂ©seau de neurones artificiel

    GIARPS: the unique VIS-NIR high precision radial velocity facility in this world

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    GIARPS (GIAno & haRPS) is a project devoted to have on the same focal station of the Telescopio Nazionale Galileo (TNG) both the high resolution spectrographs HARPS-N (VIS) and GIANO (NIR) working simultaneously. This could be considered the first and unique worldwide instrument providing cross-dispersed echelle spectroscopy at a high resolution (R=115,000 in the visual and R=50,000 in the IR) and over in a wide spectral range (0.383 - 2.45 micron) in a single exposure. The science case is very broad, given the versatility of such an instrument and the large wavelength range. A number of outstanding science cases encompassing mainly extra-solar planet science starting from rocky planet search and hot Jupiters, atmosphere characterization can be considered. Furthermore both instrument can measure high precision radial velocity by means the simultaneous thorium technique (HARPS - N) and absorbing cell technique (GIANO) in a single exposure. Other science cases are also possible. Young stars and proto-planetary disks, cool stars and stellar populations, moving minor bodies in the solar system, bursting young stellar objects, cataclysmic variables and X-ray binary transients in our Galaxy, supernovae up to gamma-ray bursts in the very distant and young Universe, can take advantage of the unicity of this facility both in terms of contemporaneous wide wavelength range and high resolution spectroscopy.Comment: 8 pages, 5 figures, SPIE Conference Proceeding

    Effect of cooling methods on dimensional accuracy and surface finish of a turned titanium part

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    In metal cutting, the choice of cooling method influences the deformation mechanism, which is related to the dimensional accuracy and surface finish of the parts. The deformation mechanism of titanium alloys under machining conditions is known to be very different from that of commonly used industrial materials. Therefore, the effect of cooling methods on dimensional accuracy and surface finish in machining titanium is of particular interest. This paper investigates experimentally and analytically the influence of cooling method and cutting parameters on two major dimensional accuracy characteristics of a turned titanium part—diameter error and circularity, and surface finish. Data were analyzed via three methods: traditional analysis, Pareto ANOVA, and Taguchi method. The findings indicate that the cooling method has significant effect on circularity error (contribution ratio 76.75 %), moderate effect on diameter error (contribution ratio 25.00 %), and negligible effect on surface finish (contribution ratio 0.16 %)

    A review on recent advances in numerical modelling of bone cutting

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    [EN] Common practice of surgical treatments in orthopaedics and traumatology involves cutting processes of bone. These operations introduce risk of thermo-mechanical damage, since the threshold of critical temperature producing thermal osteonecrosis is very low. Therefore, it is important to develop predictive tools capable of simulating accurately the increase of temperature during bone cutting, being the modelling of these processes still a challenge. In addition, the prediction of cutting forces and mechanical damage is also important during machining operations. As the accuracy of simulations depends greatly on the proper choice of the thermo-mechanical properties, an essential part of the numerical model is the constitutive behaviour of the bone tissue, which is considered in different ways in the literature. This paper focuses on the review of the main contributions in modelling of bone cutting with special attention to the bone mechanical behaviour. The aim is to give the reader a complete vision of the approaches commonly presented in the literature in order to help in the development of accurate models for bone cutting.The authors acknowledge to the Ministry of Economy and Competitiveness of Spain the financial support for this work received through the projects DPI2011-25999 and DPI2013-46641-R.Marco, M.; Rodríguez Millån, M.; Santiuste, C.; Giner Maravilla, E.; Henar Miguélez, M. (2015). A review on recent advances in numerical modelling of bone cutting. Journal of the Mechanical Behavior of Biomedical Materials. 44:179-201. https://doi.org/10.1016/j.jmbbm.2014.12.006S1792014

    Planck intermediate results: LVII. Joint Planck LFI and HFI data processing

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    We present the NPIPE processing pipeline, which produces calibrated frequency maps in temperature and polarization from data from the Planck Low Frequency Instrument (LFI) and High Frequency Instrument (HFI) using high-performance computers. NPIPE represents a natural evolution of previous Planck analysis efforts, and combines some of the most powerful features of the separate LFI and HFI analysis pipelines. For example, following the LFI 2018 processing procedure, NPIPE uses foreground polarization priors during the calibration stage in order to break scanninginduced degeneracies. Similarly, NPIPE employs the HFI 2018 time-domain processing methodology to correct for bandpass mismatch at all frequencies. In addition, NPIPE introduces several improvements, including, but not limited to: inclusion of the 8% of data collected during repointing manoeuvres; smoothing of the LFI reference load data streams; in-flight estimation of detector polarization parameters; and construction of maximally independent detector-set split maps. For component-separation purposes, important improvements include: maps that retain the CMB Solar dipole, allowing for high-precision relative calibration in higher-level analyses; well-defined single-detector maps, allowing for robust CO extraction; and HFI temperature maps between 217 and 857 GHz that are binned into 0.09 pixels (Nside = 4096), ensuring that the full angular information in the data is represented in the maps even at the highest Planck resolutions. The net effect of these improvements is lower levels of noise and systematics in both frequency and component maps at essentially all angular scales, as well as notably improved internal consistency between the various frequency channels. Based on the NPIPE maps, we present the first estimate of the Solar dipole determined through component separation across all nine Planck frequencies. The amplitude is (3366.6 ± 2.7) ”K, consistent with, albeit slightly higher than, earlier estimates. From the large-scale polarization data, we derive an updated estimate of the optical depth of reionization of τ = 0.051 ± 0.006, which appears robust with respect to data and sky cuts. There are 600 complete signal, noise and systematics simulations of the full-frequency and detector-set maps. As a Planck first, these simulations include full time-domain processing of the beam-convolved CMB anisotropies. The release of NPIPE maps and simulations is accompanied with a complete suite of raw and processed time-ordered data and the software, scripts, auxiliary data, and parameter files needed to improve further on the analysis and to run matching simulations

    Planck 2018 results. VIII. Gravitational lensing

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    We present measurements of the cosmic microwave background (CMB) lensing potential using the final Planck 2018 temperature and polarization data. We increase the significance of the detection of lensing in the polarization maps from 5σ to 9σ. Combined with temperature, lensing is detected at 40σ4. We present an extensive set of tests of the robustness of the lensing-potential power spectrum, and construct a minimum-variance estimator likelihood over lensing multipoles 8≀L≀400. We find good consistency between lensing constraints and the results from the Planck CMB power spectra within the ΛCDMΛCDM model. Combined with baryon density and other weak priors, the lensing analysis alone constrains σ8Ω0.25m=0.589±0.020 (1σ errors). Also combining with baryon acoustic oscillation (BAO) data, we find tight individual parameter constraints, σ8=0.811±0.019, H0=67.9+1.2−1.3kms−1Mpc−1, and Ωm=0.303+0.016−0.018. Combining with Planck CMB power spectrum data, we measure σ8 to better than 1% precision, finding σ8=0.811±0.006. We find consistency with the lensing results from the Dark Energy Survey, and give combined lensing-only parameter constraints that are tighter than joint results using galaxy clustering. Using Planck cosmic infrared background (CIB) maps we make a combined estimate of the lensing potential over 60% of the sky with considerably more small-scale signal. We demonstrate delensing of the Planck power spectra, detecting a maximum removal of 40% of the lensing-induced power in all spectra. The improvement in the sharpening of the acoustic peaks by including both CIB and the quadratic lensing reconstruction is detected at high significance (abridged)
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