Search results for " Technology"
showing 10 items of 23337 documents
Flooding in the Digital Twin Earth: The Case Study of the Enza River Levee Breach in December 2017
2023
The accurate delineation of flood hazard maps is a key element of flood risk management policy. Flood inundation models are fundamental for reproducing the boundaries of flood-prone areas, but their calibration is limited to the information available on the areas affected by inundation during observed flood events (typically fragmentary photo, video or partial surveys). In recent years, Earth Observation data have supported flood monitoring and emergency response (e.g., the Copernicus Emergency Service) thanks to the proliferation of available satellite sensors, also at high spatial resolution. Under this umbrella, the study investigates a levee breach that occurred in December 2017 along t…
Analysis of multiple intelligences and creativity in university students
2018
espanolResumen: Un reto de la educacion actual es formar a alumnos competentes para desenvolverse en una sociedad diversa y dinamica. El cociente intelectual no es suficiente para garantizar el exito academico ni profesional (Extremera & Fernandez-Berrocal, 2006) y deben considerarse aspectos cognitivos, sociales y emocionales. El objetivo del estudio fue analizar el grado alcanzado en estudiantes universitarios de trabajo social en las inteligencias multiples, inteligencia emocional, creatividad y rendimiento academico, asi como su relacion y las diferencias en funcion del sexo y el curso en una muestra de 100 estudiantes. Se encontraron diferencias significativas en funcion del curso y re…
Husk Energy Supply Systems for Sunflower Oil Mills
2020
Together with solar, wind, and hydro renewable energy sources (RES), biomass constitutes an integral part of the high-renewables electricity systems. Considerable feedstocks for electricity generation are process-based residues. Ukraine is the world leader in sunflower seed production, therefore, husk (a by-product of oil production) is a promising biofuel for combustion- based power plants. The plants consume primarily electricity and fossil fuels (natural gas or fuel oil) for steam production. Their usage affects the edible oil production cost and impacts on climate change. The above facts force us to look for alternatives. By-product (husk) utilization can reduce exhaustible energy consu…
Firm growth and profitability : The role of age and size in shifts between growth–profitability configurations
2023
To investigate the routes toward profitable growth, this study partially replicates and extends the work of Davidsson et al. (2009) on firm growth–profitability dynamics with multi-industry data on over 66,000 Finnish firms. The results support prior findings on initial profitability being more important than initial growth for achieving high performance in both performance dimensions. Additional investigations on the role of firm age and size reveal further interesting dynamics: Very small young firms face fewer risks from growing at a low profitability level than other firms, and the benefits of firm size for future performance depend on the firm's current profitability. The results advan…
The Village of the Year Competition Constructing an Ideal Model of a Rural Community in Finland
2016
The Village Action Association of Finland (SYTY) organizes the Village of the Year competition annually to award active rural communities. The competition has taken place since 1985, but after the village action movement was integrated into Finnish rural policy networks in the 1990s, it also became a part of rural policy instruments. The competition can be considered a governing technique that constructs norms and an ideal model for rural communities to pursue. In this article, I study the representation of an ideal rural community by analysing the criteria of the competition. I also look for changes to see whether the integration of the village action movement into rural policy is reflecte…
Artificial intelligence centric scientific research on COVID-19 : an analysis based on scientometrics data
2023
AbstractWith the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center of attention due to its capability to produce trustworthy results in a reasonable time. As a result, AI centric based research on coronavirus (or COVID-19) has been receiving growing attention from different domains ranging from medicine, virology, and psychiatry etc. We present this comprehensive study that closely monitors the impact of the pandemic on global research activities related exclusively to AI. In this article, we produce highly info…
La colaboración científica: principales líneas de investigación y retos de futuro
2014
The construction of knowledge is a collaborative process that has seen a dramatic growth over recent decades, since almost all research activities now involve increasing numbers of researchers, institutions, disciplines and countries. The present study provides a bibliographic review of the literature on research collaboration and identifies pioneering work on the topic, the types of studies undertaken and the variables analyzed. Several approaches are discussed: the “classical” approach, based on bibliometric indicators, which has taken on a new dimension with Social Network Analysis; and quantitative and qualitative approaches, which attempt to investigate the motivations and dynamics of …
Analysis of the Effects of Reservoir Operating Scenarios on Downstream Flood Damage Risk Using an Integrated Monte Carlo Modelling Approach
2023
The aim of this study is to analyse the effects of reservoir operating scenarios, for flood damage evaluation downstream of a dam, using a Monte Carlo bivariate modelling chain. The proposed methodology involves a stochastic procedure to calculate flood hydrographs and the evaluation of the consequent flood inundation area by applying a 2D hydraulic model. These results are used to estimate the inundation risk and, as consequence, the relative damage evaluation under different water level conditions in an upstream reservoir. The modelling chain can be summarized as follows: single synthetic stochastic rainfall event generation by using a Monte Carlo procedure through a bivariate copulas ana…
Determination of Changes in the Quality of Surface Water in the River—Reservoir System
2021
Assessing the changing parameters of water quality at different points in the river–reservoir system can help prevent river pollution and implement remedial policies. It is also crucial in modeling water resources. Multivariate statistical analysis is useful for the analysis of changes in surface water quality. It helps to identify indicators that may be responsible for the eutrophication process of a reservoir. Additionally, the analysis of the water quality profile and the water quality index (WQI) is useful in assessing water pollution. These tools can support and verify the results of a multivariate statistical analysis. In this study, changes in water quality parameters of the Turawa r…
Political community resilience in declining rural areas in Finland
2021
Abstract In this article, we study how declining rural communities build political resilience in Finland. Community resilience is an adaptive process through which rural communities try to maintain their viability in changed circumstances. This process does not entail a submissive attitude, but rather active agency and an effort to influence matters concerning the community’s well-being. We focus on the political dimension of resilience by identifying different local tactics that rural communities adopt to promote their own development following municipal mergers. We classify these tactics into three categories: cooperation, conflict and community-led development. The significant difference…