170,091 research outputs found
Villa Santa Maria a Potenza: un antico Orto Botanico
No full textSi presenta una breve storia dell’Orto Botanico di Potenza, istituito nel 1823. Parte dell’area originale è attualmente un parco comunale denominato Villa Santa Maria. Viene quindi analizzata la situazione attuale e vengono delineate alcune prospettive per il futuro.A brief history of the Botanical Garden of Potenza, Italy, established in 1823 is presented. Part of the original area is presently a city park known as Villa Santa Maria. The current situation is then ana lysed and some perspectives for the future outlined
La "Nuova" Sistematica, ovvero nuove tecniche per vecchi problemi. Un esempio: il genere Syntrichia Brid. (Musci: Pottiaceae).
No full textSegnalazioni floristiche Italiane, 1135: Berteroa obliqua (Sm.) DC., specie nuova per la Basilicata.
No full text
Lago Pantano di Pignola (PZ) : analisi fitosociologica dei popolamenti a elofite e idrofite radicate ed analisi fitoplanctonica
No full textß-N-acetylglucosaminidase and ß-galactosidase from aleurone layers of resting wheat grains
No full textBinding of hydrolases from wheat aleurone to Concanavalin A- and Wheat-Germ Agglutinin Sepharose
No full textARCHAEOBOTANY FOR CULTURAL HERITAGE: THE PICAR ROJECT AND CULTURAL LANDSCAPE RECONSTRUCTIONS IN CIRCUM-MEDITERRANEAN COUNTRIES
No full textThe PICAR project (2010-2012) aims to study the cultural landscape genesis and develpment in Mediterranean countries. The acronym means Cultural landscaPe and human Impact in Circum-mediterranean countries: multidisciplinary Archaeobotanical research for environmental, phylogeographic, climatic and virtual Reconstructions (Paesaggio culturale e Impatto antropico in paesi Circum-mediterranei: ricerca multidisciplinare con analisi di resti Archeobotanici per la Ricostruzione ambientale, climatica, filogeografica e virtuale). The project aims at the reconstruction of the cultural landscape as it was shaped through time by the interaction of climatic-environmental conditions. The area of investigation covers three circum-Mediterranean countries (Italy: Veneto, Emilia Romagna, Latium and Lucania; Turkey, and Libya). Several archaeological sites are studied through the most effective archaeobotanical tools for this kind of research, i.e. pollen and plant macroremains, integrating them systematically with non pollen palynomorphs (NPP), isotopic analyses, and ancient DNA (aDNA) extraction from sub-fossil plant materials. A parallel study on the genetic variability of living plants, aiming at furthering out our knowledge of wild or cultivated species of remarkable human interest, such as vine, olive and wild cereals, is planned. A few plant elements are particularly important (e.g., Olea europaea and Pinus halepensis, the former for its cultural/cultivation value, the latter for its importance as a landscape element) and it appears worth to focus on one of them at least. The use of archaeobotanical analyses ‘sensu lato', i.e., the study of plant remains from a site through the simultaneous measurements of the biological parameters above mentioned, is still underexploited. PICAR wants, in this way, to explore the new cognitive potentialities of the archaeobotanical method which, by definition, ‘investigates the relationship man-plant' through the analysis of the plant remains recovered from archaeological layers or, anyway, from layers coeval to the human occupation of a territory.The integrated research has already given impressive results from a number of sites, and is visible in the web site of the project (www.picar.org)
Invariant sets and guaranteed cost control of nonlinear quadratic systems
No full textThis paper addresses the problem of designing
a guaranteed cost controller for continuous-time nonlinear
quadratic systems. The main result is a sufficient condition
for the existence of a linear state feedback controller achieving
an assigned guaranteed cost, whenever the state trajectories
remain within a suitable invariant set. The conditions are cast
in the form of Linear Matrix Inequalities (LMIs), which can
be efficiently solved via available optimization algorithms. The
effectiveness of the devised approach is illustrated through an
example concerning the attitude control of an unmanned aerial
vehicle
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