8 results on '"Frenguelli, Giuseppe"'
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2. Teaching to teach with a LMS: the experience at University of Perugia
- Author
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Filomia, Maria, Santucic, Valentino, Vinti, Gianluca, De Santis, Giovanni Maria Perfetto, Falcinelli, Floriana, Frenguelli, Giuseppe, Lorenzi, Carlo, Moriconi, Alessio, Siepi, Donatella, Valori, Furia, Ranucci, David, Milani, Alfredo, Marianelli, Massimiliano, Filomia, Maria, Santucic, Valentino, Vinti, Gianluca, De Santis, Giovanni Maria Perfetto, Falcinelli, Floriana, Frenguelli, Giuseppe, Lorenzi, Carlo, Moriconi, Alessio, Siepi, Donatella, Valori, Furia, Ranucci, David, Milani, Alfredo, and Marianelli, Massimiliano
- Abstract
[EN] A Learning Management System (LMS) is nowadays a pivotal element in the education environment of a modern university. However, though it generally has a beneficial and positive impact on the education, a part of the teachers is sometimes reluctant to adopt a LMS because of the perceived usage difficulty. Therefore, it is clear that a key step in order to spread the use of a LMS is to teach to the teachers how to use it and which benefits their teaching activities can gain. In this paper, we report and analyze the experience we had at University of Perugia. An e-learning course has been released to the (approximately) 1000 teachers of the university with the aim of introducing them to the basic tools provided by the LMS. Importantly, the course has been created and delivered by means of UniStudium, i.e., the Moodle-based LMS deployed in our university. This allowed us to collect interesting quantitative and qualitative data that have been elaborated and analyzed. The analysis shows that the activities carried out reached a prominent percentage of teachers, by also providing us important suggestions and hints to guide our future activities in this direction.
- Published
- 2018
3. Climate change: consequences on the pollination of grasses in Perugia (Central Italy). A 33-year-long study
- Author
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Tedeschini Emma, Ghitarrini Sofia, Timorato Veronica, and Frenguelli Giuseppe
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Pollination ,Rain ,Health, Toxicology and Mutagenesis ,Climate change ,010501 environmental sciences ,Biology ,medicine.disease_cause ,Poaceae ,01 natural sciences ,Pollen ,otorhinolaryngologic diseases ,medicine ,Temperate climate ,Grasses ,Italy ,0105 earth and related environmental sciences ,Air Pollutants ,Ecology ,Phenology ,Temperature ,food and beverages ,Taxon ,Agronomy ,Period (geology) ,Seasons ,Environmental Monitoring - Abstract
Many works carried out in the last decades have shown that the pollen season for taxa flowering in winter and spring, in temperate regions, has tended to be earlier, probably due to the continuous rise in temperature. The mean annual temperature in Perugia, Central Italy, was about 0.5 °C higher in the last three decades compared with that registered from 1952 to 1981. The increase of temperature took place mainly in winter and spring, while no significant variation was recorded during the summer and autumn. This scenario shows variations in the timing and behavior of flowering of many spontaneous plants such as grasses, whose phenology is strongly influenced by air temperature. This work reports fluctuations in the airborne grass pollen presence in Perugia over a 33-year period (1982-2014), in order to study the influence of the warming registered in recent years on the behavior of pollen release of this taxon. The grass pollen season in Perugia typically lasts from the beginning of May to late July. The start dates showed a marked trend to an earlier beginning of the season (-0.4 day/year), as well as a strong correlation with the average temperatures of March and April. The peak is reached around 30th May, but the annual pollen index (API) is following a decreasing trend. The correlation between starting dates and spring temperatures could be interesting for the constitution of a forecasting model capable of predicting the presence of airborne grass pollen, helping to plan therapies for allergic people.
- Published
- 2017
4. New biomolecular tools for aerobiological monitoring: Identification of major allergenic Poaceae species through fast real-time PCR
- Author
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Ghitarrini, Sofia, primary, Pierboni, Elisa, additional, Rondini, Cristina, additional, Tedeschini, Emma, additional, Tovo, Gloria R., additional, Frenguelli, Giuseppe, additional, and Albertini, Emidio, additional
- Published
- 2018
- Full Text
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5. Time linkages between pollination onsets of different taxa in Perugia, Central Italy--an update
- Author
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Frenguelli, Giuseppe, Ghitarrini, Sofia, and Tedeschini, Emma
- Subjects
Allergens ,Pinus ,Poaceae ,Trees ,Magnoliopsida ,Italy ,Species Specificity ,Linear Models ,Pollen ,Seasons ,Pollination ,Forecasting ,Linear models ,Environmental Monitoring - Abstract
In the last decades, increasing attention has been paid to pollinosis. Numerous studies have been carried out concerning the pollination timing of allergenic plant species and the possibility to forecast its beginning and intensity using several statistical methods and models. This study proposes a simple and fast method to identify in advance the time lapse in which the pollination of some allergenic taxa should start.The times of pollination of 14 taxa were recorded in the area of Perugia (Central Italy) by means of a 7-volumetric Hirst-Type pollen trap. For a 30-year period (1984-2013), annual starting dates were calculated for each taxa, using the 5% method (Lejoly-Gabriel). The time linkages between these starting dates were then estimated, considering them in pairs and calculating linear regression coefficients.For the significantly linked species, forecasting models were obtained by means of linear regression analysis. To apply these models to the ongoing pollen season, pollination beginning of the earlier species has to be calculated using a sum-based method. From this date, through the obtained equations, it is possible to predict the approximate period in which the pollination of the second linked taxa should start.The possibility to predict the start of the pollen season of these taxa could be of great importance from the allergological point of view. In fact, an early or delayed flowering can have considerable effects in the prophylaxis programming and efficacy.
- Published
- 2016
6. Time linkages between pollination onsets of different taxa in Perugia, Central Italy – an update
- Author
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Frenguelli, Giuseppe, primary, Ghitarrini, Sofia, additional, and Tedeschini, Emma, additional
- Published
- 2015
- Full Text
- View/download PDF
7. Pollination seasons in Perugia area (Central Italy)
- Author
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Romano, Bruno, Frenguelli, Giuseppe, FORNACIARI DA PASSANO, Marco, and Bricchi, E.
- Subjects
Medicinal plants ,Plantas medicinales ,Botánica ,Botany - Abstract
It is very helpful for allergological and ecological purposes to formulate a "pollen calendar" for each zone,, to have mean data about the time and the cubic metre concentration in which the pollen grains occur in the atmosphere of investigated zone. The results of ten years of continuous monitoring of airborne pollen concentrations with a volumetric pollen trap in Perugia, have revealed some likeness and differences, concerning the time, the quantity and the quality of the monitored pollen grains during the studied period. In the atmosphere of Perugia, Cupressaceae/Taxaceae, Fagaceae (Quercus), Poaceae, Oleaceae and Urticaceae are the main taxa; the first peak at the end of the winter, Fagaceae (Quercus), Poaceae and Oleaceae in May and June, while Urticaceae has a very long period of pollination with many peaks during the spring-summer period.
- Published
- 1995
8. Forecast models for the main features of the pollen season and daily average counts for allergenic taxa in Central Albania
- Author
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Hoxha, Elona Gjebrea, Emberlin, Jean, and Frenguelli, Giuseppe
- Subjects
580 ,GE Environmental Sciences - Abstract
The research for the thesis is related to the construction of long and short term pollen forecast models for Grass, Olea and Urticaceae in Albania which are the most allergenic taxa in this country. Aerobiology, which is the study of organic particles (bacteria, fungal spores, pollen, small insects) passively transported by the air [Spieksma, 1991], has received very little attention in Albania. The research represents a major advance as it is the first work of this kind in this country. The aims of the research were to investigate the features of the pollen seasons for the mentioned taxa as well as establishing relationships between these features and the main controlling weather variables. The achievement of these aims provided the basis for a further aim of the research which was to construct the long and short term forecasts for Grass, Olea and Urticaceae. Also the research investigated the possibility of constructing short term forecasts for the mentioned taxa on the non-rainy days. The data used for the research were pollen data and meteorological data from Tirana city in the period 1995-2004. It was not possible to have data from the years 1997 and 1999, 2000, 2001 due to practical problems. The meteorological data for the research were obtained from the Meteorological Institute in Tirana. In order to investigate the pollen season features, the pollen season for Grass and Urticaceae were divided into three periods, the pre peak, peak and post-peak since the behavior of the pollen seasonal variation curve differs according to the phases. The Olea pollen season is very short lasting for no more than 40 days so this was divided in two periods namely pre-peak and peak. An important outcome of the research was also the production of a pollen calendar for the main allergenic taxa based on five years of data. The pollen calendar will be useful for allergists and the general public. A lot of meteorological variables were used in the empirical analysis (correlation and regression analysis) in order to investigate which of the weather parameters give most explanation of the features of the pollen season. A number of variables were examined for possible inclusion in the linear regression analysis. The variables were selected after reviewing previous research on the effects of meteorological variables on the production of pollen from the three taxa. Linear regression was used to construct the long term forecasts for Grass, Olea and Urticaceae while multiple regression analyses were used for the construction of the short term forecasts. The forecasts obtained were able to forecast with an accuracy from 50-85% for Grass, Olea and Urticaceae. The models obtained for the non-rainy days were successful for Olea in the pre-peak period. No rainfall was recorded during the peak period. Also the Urticaceae models for the non rainy days were accurate only for the pre and peak period. Neural networks were used as an alternative method to the regression analysis for Grass, Olea and Urticaceae and were very accurate. This method was able to forecast the daily variations of the mentioned taxa as a whole season as well as pre and post peak period. It also increased the accuracy to 96% to forecast the daily variations for the Olea in the prepeak period and 82% in the post-peak period. The accuracy achieved for Urticaceae was 98% in the pre-peak period and 95% in the post-peak and whole pollen season respectively. The skills gained and the forecast models that were constructed through this research will enable Aerobiology to be established in Albania as a scientific discipline. The work will allow the creation of a network pollen system similar to that in other European countries. The results will be for use for the public, for doctors, pharmacists and related bodies. The acquisition of more pollen data through the continuous monitoring sites in Albania will enable the constructed forecast models to be updated.
- Published
- 2007
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