11 research outputs found
Valutazione dell’effetto dei diversi tipi di attività fisica aerobica sui valori di BMI e sul rapporto W/h in una popolazione pediatrica con sovrappeso/obesità.
Obesità e rialzo della pressione arteriosa (PA) in età pediatrica e studio di prevalenza con l'utilizzo di indici diversi: BMI°c e rapporto W/h
A Model Enabling Law Compliant Privacy Protection through the Selection and Evaluation of Appropriate Security Controls
Obesità e particolari professioni dei genitori come fattori di rischio per lo sviluppo di sovrappeso/obesità infantile.
Lo sviluppo della sindrome metabolica (SM) nei pazienti sovrappeso/obesi nati pretermine (NPr).
Relationship among insuline resistance, blood lipids and blood pressure in a population of paediatric overweight/obese patients.
Improving Public Administration Performance through Electronic Government Applications
Electronic Government applications have been the focus of hundreds of local and national government administrations all over the world during the past decade. The emphasis of most of these applications lies in their effort to improve the experience of the user in interacting with public administration services and to minimise waiting times in completing transactions public services and citizens. Early applications were relying mainly on the speed and simplicity of submitting a request by the user while most of the work beyond the web based interaction was carried out as in the era before the introduction of the web based applications. The benefits from such endeavours have been short lived as citizens are looking for real enhancements in they way public administration serves their needs and responds to their requests. The authors argue that for e-government applications to succeed changes would have to be effected in the way public administration organizes itself and how it utilizes information management systems to respond to user / citizen requirements including and addressing the goals of all stakeholders involved. Currently the number of successful applications to that end is quite low when compared to the projects implemented so far. The authors propose steps that would maintain the focus of future implementations in doing so
Image analysis and statistical modelling for measurement and quality assessment of ornamental horticulture crops in glasshouses
Image analysis for ornamental crops is discussed with examples from the bedding plant industry. Feed-forward artificial neural networks are used to segment top and side view images of three contrasting species of bedding plants. The segmented images provide objective measurements of leaf and flower cover, colour, uniformity and leaf canopy height. On each imaging occasion, each pack was scored for quality by an assessor panel and it is shown that image analysis can explain 88.5%, 81.7% and 70.4% of the panel quality scores for the three species, respectively. Stereoscopy for crop height and uniformity is outlined briefly. The methods discussed here could be used for crop grading at marketing or for monitoring and assessment of growing crops within a glasshouse during all stages of production
