Warm-season turfgrass species generate sports surfaces with different playability

Synthetic sports surfaces are increasingly subject to standardization of athlete-surface and ball-surface interactions (playability parameters). Such standardizations have led to an increase in the level of the engineering and predictability of these surfaces, and as such may be beneficial also for natural turf. In warm and temperate climates, many natural turf sports surfaces are established with warm-season (C4) turfgrass species due to their suitability to the environment in such areas. This study was aimed at evaluating the Féderation Internationale de Football Association (FIFA)-standard playing characteristics of different sports turf surfaces obtained from three commonly used C4 turfgrass species: 1) ‘Tifway 419’ hybrid bermudagrass (Cynodon dactylon var. dactylon × C. transvaalensis), 2) ‘Zeon’ manilagrass (Zoysia matrella), and 3) ‘Salam’ seashore paspalum (Paspalum vaginatum) for factors concerning leaf tissue (silica, lignin, water content) and canopy structure (shoot density, leaf architecture, stolon density, etc.). Results showed that surfaces of different C4 turfgrass species generate different playability parameters, with seashore paspalum being a harder faster surface, manilagrass being a softer slower surface, and hybrid bermudagrass showing intermediate characteristics. These playing quality results were associated with certain specific canopy biometrical/morphological parameters such as shoot density, horizontal stem density (HSD), leaf section, and, to a lesser extent, to certain plant tissue compounds (lignin, silica)

Dança inclusiva e o efeito borboleta

O artigo apresenta uma reflexão sobre diferentes contornos do tema dança inclusiva, lançando olhares para o passado e para o presente com o objetivo de estimular percepções sobre relações híbridas entre esta temática e paradigmas sistêmicos da ciência contemporânea, enfatizando conceitos relativos à evolução de comportamentos complexos abordados na Teoria da Complexidade e na Teoria do Caos

Fortalecimiento de Centros intermedios y menores de los departamentos del Gran Mendoza

El proyecto de ley de ordenamiento territorial y uso del suelo para la provincia de Mendoza, fue realizado por un equipo interdisciplinario convocado por el Ministerio de Medio Ambiente, Urbanismo y Vivienda, grupo en el cual participamos activamente. Una de las metodologías seguidas incorporó hipótesis con sus demostraciones y propuestas alternativas, según la interpretación dada al crecimiento poblacional cuya expansión se manifiesta por medio de los espacios adaptados, sea para alojar actividad es residenciales, empresariales, administrativos, entre otras. En ese marco, coherentes con nuestro punto de vista geográfico propusimos cuatro acciones. 1. Densificadón dentro de los radios urbanos. 2. Extensión hacia la franja rururbana, uso predominante residencial-jardín, y uso predominante residencial con pequeños emprendimientos productivos. 3. Fortalecimiento de centros intermedios, ciudades cabeceras departamentales y otros asentamientos menores. 4 Preservación y promoción del área rural profunda. Son acciones resultantes de una perspectiva global y sistémica sobre el ordenamiento territorial. El temario de las 1 Jornadas Platenses de Geografía nos pareció una excelente ocasión para presentar el marco teórico metodológico al cual responden, para discutirlas en un foro disciplinario y para desarrollar una de ellas, evaluarla como la más concreta y con mejores posibilidades de aplicación inmediata.Facultad de Humanidades y Ciencias de la Educació

Terrestrial Very-Long-Baseline Atom Interferometry:Workshop Summary

This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferometer (AI) prototypes and their potential for detecting ultralight dark matter and gravitational waves. The primary objective of the workshop was to lay the groundwork for an international TVLBAI proto-collaboration. This collaboration aims to unite researchers from different institutions to strategize and secure funding for terrestrial large-scale AI projects. The ultimate goal is to create a roadmap detailing the design and technology choices for one or more km-scale detectors, which will be operational in the mid-2030s. The key sections of this report present the physics case and technical challenges, together with a comprehensive overview of the discussions at the workshop together with the main conclusions

CMS physics technical design report : Addendum on high density QCD with heavy ions

Peer reviewe

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges

Normalized Difference Vegetation Index versus Dark Green Colour Index to estimate nitrogen status on bermudagrass hybrid and tall fescue

In recent years digital sensors have been successfully integrated on board Unmanned Aerial Vehicles (UAV) to assess crop vigour, vegetation coverage, and to quantify the ‘greenness’ of foliage as indirect measurements of crop nitrogen status. The classical approach of precision agriculture has involved the use of multispectral sensors onboard UAV and the development of numerous vegetation indices associated with vegetation parameters, such as the mostly used Normalized Difference Vegetation Index (NDVI). However, the main negative issue when dealing with multi and hyper-spectral reflectance measuring tools is their high cost and complexity from the operational point of view. As a low-cost alternative, vegetation indices derived from Red Green Blue (RGB) cameras have been employed for remote-sensing assessment, providing data on different stress conditions and species. Digital images record information as amounts of RGB light emitted for each pixel of the image; however, the intensity of red and blue will often alter how green an image appears. To simplify the interpretation of digital colour data, recent studies have suggested converting RGB values to the more intuitive Hue, Saturation, and Brightness (HSB) colour spectrum, and then into a single measure of dark green colour, the Dark Green Color Index (DGCI). In this study, NDVI acquired by a ground-based handheld crop sensor and by a multispectral camera mounted on board a UAV has been compared with DGCI calculated from images taken with a commercial digital camera on board a UAV, trying to quantify the colour of turfgrass that had received different nitrogen (N) rates. The objectives of the trial were to study an affordable easy-to-use tool evaluating the relationship among NDVI, DGCI and leaf nitrogen content on turfgrass