120,661 research outputs found
Gilt stuccoes of the italian baroque
No full textC. Colombo, L. Toniolo, S. Bruni, P. Fermo, A. Casoli, G. Palla, C. L. Bianchi, Gilt stuccoes of the italian baroque. Studies in Conservation, 43, 1998, 201-208
Statistics and genetics between Italy and Britain in the 20th century: an interview with A. W. F. Edwards
No full textThe statistician and geneticist Anthony Edwards is interviewed about his career and the scientific connections between Italy and Britain in the past century. Last student of Fisher and witness and link of the relation between R. A. Fisher and L. L. Cavalli-Sforza, he started his career in Italy working on statistical methods for evolutionary trees, after studying the sex ratio at birth, a problem previously attacked by C. Gini at the beginning of the 20th century. Some emerging themes from the interview are briefly highlighted and related to subsequent developments in statistical genetics and the role of statistics
Effects of Stalk Removal on Carbohydrate Metabolism in Flooded Bulrush Rhizomes Schoenoplectus lacustris (L.) Palla
No full textCutting off of the shoots leads to a lack of oxygen and to an inte&uption of photosynthate flow to the rhizomes of the bulrush (Schoenoplectus lacustris (L.) PALLA). In summer, when the rhizomes possess only small quantities of starch and have a high metabolic activity the bulrush is endangered by repeated loss of shoots. The vitality of the plant is not jeopardized by a loss of the shoots in winter, when the rhizomes contain large amounts of carbohydrate and their metabolic activity is low
A Florentine family in crisis: the Strozzi in the fifteenth century.
No full textPhDIn 1434 the Strozzi lineage had held a leading position in
Florentine society and government for at least one hundred and fifty
years, and was one of the largest and wealthiest of the city's
patrician lineages. The records of the catasto of 1427 and of the
scrutiny of 1433 are used to give a profile of the dominant social,
economic and political position of the Strozzi before the advent of
Medicean dominance. Their record of electoral success, and the
political and cultural leadership of influential and respected men
such as Palla di Nofri and Matteo di Simone, with other factors, put
the Strozzi amongst the greatest enemies of the victorious Medicean
regime of late 1434. The effects of political opposition and exile
on the lineage are examined both directly, through records of office-holding,
and indirectly through such indicators as marriage alliances
and household wealth. The two most prominent lines of the Strozzi
were exiled after 1434. Palla di Nofri's life and preoccupations in
his Paduan exile are examined, together with the lives of his sons;
none of these Strozzi ever returned to Florence, pursued as they were
by the enmity of the Medicean regime. The very different careers of
Filippo di Matteo and his brother Lorenzo are also examined: how they
succeeded in founding a lucrative bank in Naples, and in returning to
Florence to 'rebuild' (rifare) the position of the Strozzi lineage
there. The final decades of the century saw the Strozzi in an
economically more secure position, due substantially to the efforts
of Filippo. Except for a very small number of its members admitted
into the regime, most of the lineage is here shown to have remained
excluded from significant political office until after the fall of
the Medici regime in 1494
Correction to: RarERN Path: a methodology towards the optimisation of patients’ care pathways in rare and complex diseases developed within the European Reference Networks (Orphanet Journal of Rare Diseases, (2020), 15, 1, (347), 10.1186/s13023-020-01631-1)
No full textFollowing the publication of the original article [1] we were informed that the authors’ given and family names had unfortunately been interchanged. The correct author names are shown here below: Rosaria Talarico, Sara Cannizzo, Valentina Lorenzoni, Diana Marinello, Ilaria Palla, Salvatore Pirri, Simone Ticciati, Leopoldo Trieste, Isotta Triulzi, Enrique Terol, Anna Bucher and Giuseppe Turchetti. The author names have been corrected in the author list of this Correction and updated in the original article
Schoenoplectus Palla, Verh. K. K. Zool.
No full textGenus 12. Schoenoplectus (Rchb.) Palla, Verh. K. K. Zool. -Bot. Ges. Wien 38 (Sitzungsber.): 49 (1888), nom. cons. T y p u s: Scirpus lacustris L. (= Schoenoplectus lacustris (L.) Palla).Published as part of Danylyk, Ivan M. & Koopman, Jacob, 2023, Cyperaceae of Ukraine: taxonomy and linear classification, pp. 93-111 in Phytotaxa 578 (1) on page 105, DOI: 10.11646/phytotaxa.578.1.5, http://zenodo.org/record/751773
Notulae alla Check-list della Flora vascolare Italiana 12 - Notulae: 1844 Chenopodium rubrum L., 1845 Schoenoplectus triqueter (L.) Palla. +UMB.
No full textLa notula riporta la segnalazione del primo rinvenimento delle entità Chenopodium rubrum L. e Schoenoplectus triqueter (L.) Palla. nel territorio della regione Umbria
Diurnal patterns of energy intake derived via principal component analysis and their relationship with adiposity measures in adolescents. Results from the National Diet and Nutrition Survey RP (2008–2012)
No full textMounting evidence points towards the existence of an association between energy intake
in the evening and an increased prevalence and risk of being overweight and of obesity. The present
study aimed to describe diurnal eating patterns (DEP) in a nationally representative sample of
UK adolescents and to relate the derived DEP to anthropometrical measures. Data from four-day
food records of adolescents aged 11–18 years participating in the 2008–2012 UK National Diet and
Nutrition Survey Rolling Programme (NDNS RP) was utilised. The DEP were derived using a
principal component analysis on the correlation matrix. Three orthogonal diurnal patterns were
interpretable as (i) a linear contrast (8% of total system variation) between breakfast and an earlier
lunch vs. a later lunch, late dinner, and evening/night snack, renamed “phase shift” DEP; (ii) a linear
contrast (6.0% of system variation) between midmorning snacks, late lunch, and early dinner vs.
breakfast, early and late morning snacks, early lunch, midafternoon snacks, and late dinner, renamed
“early eating and grazing” DEP; (iii) a linear contrast (6.0% of system variation) between late main
meals vs. early main meals and night snacks which was renamed “early main meals and night snacks
vs. late main meals” DEP. After the adjustment for confounders, every 1 unit increase in the “early
main meals and night snacks vs. late main meals”’ DEP score was significantly associated with a
0.29 kg/m2 and 11.6 mm increase in Body Mass Index (BMI) and waist circumference, respectively.
There were no significant associations with the other two main DEPs. In conclusion, adolescents who
tended to eat large early main meals and night snacks rather than slightly later main meals without
night snacks had higher BMI and waist circumference. Further research is required to explore the
determinants of DEP and to explore the impact of the context of eating and socioecological factors in
the development of specific DEP
A Fast Method that Uses Polygenic Scores to Estimate the Variance Explained by Genome-wide Marker Panels and the Proportion of Variants Affecting a Trait.
No full textSeveral methods have been proposed to estimate the variance in disease liability explained by large sets of genetic markers. However, current methods do not scale up well to large sample sizes. Linear mixed models require solving high-dimensional matrix equations, and methods that use polygenic scores are very computationally intensive. Here we propose a fast analytic method that uses polygenic scores, based on the formula for the non-centrality parameter of the association test of the score. We estimate model parameters from the results of multiple polygenic score tests based on markers with p values in different intervals. We estimate parameters by maximum likelihood and use profile likelihood to compute confidence intervals. We compare various options for constructing polygenic scores, based on nested or disjoint intervals of p values, weighted or unweighted effect sizes, and different numbers of intervals, in estimating the variance explained by a set of markers, the proportion of markers with effects, and the genetic covariance between a pair of traits. Our method provides nearly unbiased estimates and confidence intervals with good coverage, although estimation of the variance is less reliable when jointly estimated with the covariance. We find that disjoint p value intervals perform better than nested intervals, but the weighting did not affect our results. A particular advantage of our method is that it can be applied to summary statistics from single markers, and so can be quickly applied to large consortium datasets. Our method, named AVENGEME (Additive Variance Explained and Number of Genetic Effects Method of Estimation), is implemented in R software
Investigating eating time patterns in UK adults from The 2008–2012 National Diet and Nutrition Survey
No full text- …
