35 results on '"Antonio Bonelli"'
Search Results
2. Effect of farming system on meat traits of native Massese suckling lamb
- Author
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Silvia Parrini, Francesco Sirtori, Anna Acciaioli, Valentina Becciolini, Alessandro Crovetti, Antonio Bonelli, Oreste Franci, and Riccardo Bozzi
- Subjects
meat quality ,massese lamb ,sustainability ,fatty acid ,Animal culture ,SF1-1100 - Abstract
Growth performance and meat quality traits of 24 Massese suckling lambs reared up to 69 days of age in different farming systems were evaluated. Three groups were considered: stall (S) reared indoors and fed concentrate and hay; pasture (P) reared outdoor and fed pasture and hay; semi free-range (F) reared indoors during the night and at pasture during the day, fed concentrate, hay and herbage. The lambs remained constantly with their dams for the whole period, having thus always access to mothers’ milk. Animals weights were recorded, and, after slaughtering, carcase traits were considered. Fatty acids composition and chemical/physical parameters of milk and meat were analysed. Lambs growth was similar in the first 30 days, while afterwards differences emerged: P lambs recorded the worst values reaching slaughter weight of 14.6 kg versus 22.3 and 22.7 of the S and the F group, respectively. Carcase of P lambs resulted less fat and with a lower lean/bone ratio than the other groups (1.8, 2.1 and 2.3 for P, S and F, respectively). Fatty acids composition of ewes’ milk had effect on lambs’ meat profile, probably because they continued to suck milk until slaughter. Moreover, also farming system affected fatty acids profile of lambs’ meat: grazing animals, especially P, showed the highest PUFA and the lowest SFA percentage and P meat showed the best composition for human health. As regards physical traits, F meat was more coloured than P and S meat, while P meat was less tender than others.Highlights Two-month-old Massese lamb is a marketable product. Suckled milk affected lambs’ meat composition also at later ages. Pasture in lambs’ diet increases PUFA content in the meat.
- Published
- 2021
- Full Text
- View/download PDF
3. Effects of genotype and salting time on chemical, physical and sensorial traits of a new pig seasoned meat product ‘Cuore Di Spalla’
- Author
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Francesco Sirtori, Riccardo Bozzi, Oreste Franci, Luca Calamai, Alessandro Crovetti, Antonio Bonelli, Doria Benvenuti, Chiara Aquilani, and Carolina Pugliese
- Subjects
genotype ,salt content ,pig ,meat quality ,flavour ,Animal culture ,SF1-1100 - Abstract
The aim of this work was to determine the chemical, physical and sensorial characteristics of a cured product called ‘Cuore di Spalla’, resulting from two different pig genotypes (G) and two salting times (S). Fourteen Duroc × Large White (D × LW) and 14 Cinta Senese × Large White (CS × LW), reared in the same condition in outdoor and fed commercial mixture. The animals were slaughtered at 10 months of age which corresponds to an average live weight of 143 ± 15 kg for D × LW and 122 ± 15 kg for CS × LW. The right shoulders were salted for 3 days (L) and the left ones for 5 days (H). Physical (colour, texture profile analysis), chemical (moisture; crude protein; IMF; ash; salt; total lipids; fatty acids) and sensorial analyses (by panellists’ group) as well as volatile compounds profile (by SPME-GC-MS technique) were determined at the end of seasoning period. The genotype affected product’s size (1484.3 vs 1857.1 g of final weight for CS × LW and D × LW respectively), chemical characteristics and texture (cohesiveness 0.50 vs 0.53 and springiness 6.73 vs 7.12 for CS × LW and D × LW respectively). Aromatic profile was less affected by the factors considered or at least the panellists were not able to discriminate the effect. The main family of volatile compounds affected by genotype was alcohols. Salting time seemed to affect only the parameters closely related to salt (16.52 vs 15.33% of salt and 5.15 vs 4.35 for saltiness in H vs L respectively).Highlights The genotypes determined differences in size, fat quantity and physical-chemical parameters of the ‘Cuore di Spalla’ product. Very limited differences in the aromatic profile were found. Both salting times led to high salt content in the product. It seems feasible to produce the ‘Cuore di Spalla’ with further reduction of salting times.
- Published
- 2019
- Full Text
- View/download PDF
4. Principal component analysis on fatty acid composition of the meat deriving from calves, young bull and bull of Maremmana breed slaughtered at different age
- Author
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Clara Sargentini, Roberto Tocci, Antonio Bonelli, and Davide Rondina
- Subjects
bull meat ,fatty acids ,PCA ,veal ,young bull meat ,Agriculture ,Agriculture (General) ,S1-972 - Abstract
ABSTRACT: This study evaluated the performance at slaughtering of calves; young bull and bull of Maremmana breed, and compared, through Analysis of Variance (ANOVA) and Principal Component Analysis (PCA) on fatty acid composition, the characteristics of the resulting meat categories: veal, young bull meat and bull meat. The Maremmana cattle is a local endangered breed deriving from Tuscany and Latium. The animals of this study were raised under same conditions in pasture with hay and concentrate supplementations. Eighteen calves of 12-14 months, 27 young bulls of 18 months and 14 bulls of 20-24 months were slaughtered in this trial. The performances at slaughtering were considered, and on the meat samples, the chemical analysis and the fatty acid composition were carried out. Results were submitted to ANOVA and PCA, and a Heat map that considered the fatty acid distances among meat typologies was built. Slaughtering performances were better in young bulls and bulls. Chemical composition didn’t differ among meat categories. Saturated fatty acids (SFA) were similar among meats, but Monounsaturated (MUFA) and Polyunsaturated fatty acids (PUFA) were lower in veal. Desirable fatty acids and Healthy Indices were better in veal. The results of PCA and Heat map confirmed that veal was quite different from other meats. Maremmana meat deriving from animals of different age has shown overall good characteristics, suitable for the diet of western country population.
- Published
- 2021
- Full Text
- View/download PDF
5. Oil blends with sesame oil in fish diets: oxidative stress status and fatty acid profiles of lambari
- Author
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Mariene Miyoko Natori, Ricardo Henrique Franco de Oliveira, Giuliana Parisi, Antonio Bonelli, Mariza Pires de Melo, and Elisabete Maria Macedo Viegas
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fish ,lipid ,nutrition ,oxidation ,Animal culture ,SF1-1100 - Abstract
ABSTRACT The objective of this research was to evaluate the growth performance, oxidative stress, and fatty acid profiles of lambari (Astyanax altiparanae) fed diets containing different lipid sources: soybean oil, linseed oil, and freshwater fish residue oil combined or otherwise with sesame oil (SEO). The fish (mean weight 0.95±0.46 g; mean length 4.21±2.77 cm) were distributed into 24 cages (cage capacity: 0.70 m3; fish density: 276 individuals m−3) in six treatments and four replicates. After 80 days of feeding, they were weighed, and samples were collected for assay of catalase, glutathione reductase (GR), and lactate dehydrogenase (LDH) enzyme activities in muscle and analysis of the fatty acid profiles of polar and neutral fractions of whole eviscerated fish. The addition of SEO reduced docosahexaenoic acid (C22:6n-3, DHA) levels but increased the percentage of highly unsaturated n-3 fatty acids and the DHA: eiocosapentaenoic acid ratio, while reduced GR and LDH enzyme activities in muscle. Thus, certain blends of oils added to fish diets can improve the lipid profile of lambari and protect consumers against reactive oxygen species.
- Published
- 2019
- Full Text
- View/download PDF
6. Effect of replacing a soy diet with Vicia faba and Pisum sativum on performance, meat and fat traits of Cinta Senese pigs
- Author
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Francesco Sirtori, Alessandro Crovetti, Anna Acciaioli, Antonio Bonelli, Carolina Pugliese, Riccardo Bozzi, Gustavo Campodoni, and Oreste Franci
- Subjects
Autochthonous pig, Vicia faba, Pisum sativum, In vivo performance, Meat quality ,Animal culture ,SF1-1100 - Abstract
The aim of this study was to investigate the effect of diets containing genetically modified organism-free legumes as a replacement of soybean on the basis of performance, carcass composition and quality of local pig meat (Cinta Senese). Twenty-four Cinta Senese barrows were divided into 3 dietary groups and were each fed with a diet containing different protein sources: soybean meal (SOY), Vicia faba (FABA) and Pisum sativum (PEA) (8 pigs for each group). The diets were isonitrogenous and isocaloric and contained approximately 14.5% crude protein and 14.8 MJ/kg of digestible energy (on dry matter). Each group was reared outdoors in a paddock of 3500 m2. In vivo performances were not different among groups. At slaughter, differences in subcutaneous fat thickness appeared only in the outer layer, at the last thoracic vertebra level, which was lowest in the PEA group. No differences were found in the sample joint composition. With regard to the chemico-physical traits of meat and fat, the FABA group had the highest values of redness in lean and backfat, while the PEA group showed higher moisture and lower fat content in meat compared to the SOY group. Differences in the fatty acid profile of backfat were found only for the C16:1 percentage that was higher in FABA than SOY pigs. In conclusion, Vicia faba and Pisum sativum could be a good alternative to soybean in the growing-fattening of Cinta Senese pigs.
- Published
- 2015
- Full Text
- View/download PDF
7. Seasonal effect on the technological and chemical traits of sheep 'ricotta Pistoiese' cheese
- Author
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Oreste Franci, Antonio Bonelli, Renzo Malvezzi, Lorenzo Giustini, and Anna Acciaioli
- Subjects
Ricotta cheese, Sheep, Quality, Season effect ,Animal culture ,SF1-1100 - Abstract
The “ricotta di pecora pistoiese” is comprised in the list of the traditional agrofood products of Tuscany and the relative PDO (Protected Designation of Origin) has be required. This research, analysing the making process, aimed to evaluate its chemical and nutritive traits as influenced by some factors, with particular attention to the season. During the four seasons of two consecutive years, the making process of ricotta cheese was monitored in four farms for a total of 32 control-days. Yields, chemical composition and fatty acid profile of fat were determined. The amount of milk added to whey influenced the fat and protein content and the yields at 0 and 24 hours. Season affected only the protein content, higher in winter and spring. Fatty acid composition was influenced strongly by the season being the ricotta cheese of summer richer of monounsaturated and polyunsaturated FA than that of autumn and winter, probably due to the feeding regimen based mainly on fresh grass.
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- 2010
- Full Text
- View/download PDF
8. Macronutrient and fatty acid profiles of meagre (Argyrosomus regius) fillets as influenced by harvesting time and boiling
- Author
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Roberta Martelli, Antonella Dalle Zotte, Antonio Bonelli, Paola Lupi, Oreste Franci, and Giuliana Parisi
- Subjects
Meagre, Chemical composition, Lipid, True retention. ,Animal culture ,SF1-1100 - Abstract
The effect of harvesting time and cooking on water, protein, lipid, ash and fatty acid content of farmed meagre was assessed. Significant differences in nutrient content of raw fillets were detected in relation to harvesting time. Cooking by boiling induced loss of some macronutrients, mainly lipids and some fatty acids. Retention of total lipids, C18:2n-6 and C18:3n-3 decreased significantly with harvesting time, while C20:5n-3 (EPA) and C22:6n-3 (DHA) were retained in the same quantity. DHA retention was higher than that of the other FAs considered, at all harvesting times. The changes detected did not diminish the nutritional value of the fish. Despite losses induced by cooking and the low fat content, typical of this species, 100 g of fillet ensured an intake of EPA plus DHA more than double the recommended daily intake (250 mg day–1), at all harvesting times. The ability to preserve nutrients is an essential requirement for quality maintenance and suggests the possibility of heat-processing fillets.
- Published
- 2013
- Full Text
- View/download PDF
9. Effect of rearing system on body traits and fillet quality of meagre (Argyrosomus regius, Asso 1801) chilled for a short time
- Author
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Roberta Martelli, Giuliana Parisi, Paola Lupi, Antonio Bonelli, Antonella Dalle Zotte, and Oreste Franci
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Meagre, Argyrosomus regius, Rearing system, Chilling storage, Chemical composition. ,Animal culture ,SF1-1100 - Abstract
The purpose of this study was to evaluate qualitative traits of meagre (Argyrosomus regius) from two different rearing systems (land-based tank filled with geothermal water vs offshore sea cage) and after short-term storage at chilling temperature (1, 2, or 3 days). Fish originated from the same batch were fed the same diet. Morpho-biometric traits, L*, a*, and b* colour parameters, texture, free water, proximate composition, total lipids, fatty acids, iron, and selenium contents were analyzed in the fillets. Most parameters were affected by rearing system. Compared to tank-reared fish, caged fish were shorter, poorer in visceral fat, and had higher incidence in cavity content and liver, lower incidence in gonads and head. Caged fish also had softer fillets in the epaxial site, which showed a higher tendency towards greenish colour. Caged fish also showed higher lipid content but lower Fe and Se content. Tank-reared fish fillets were more abundant in PUFAn-3, mainly due to DHA (18.54 vs 12.95%; P
- Published
- 2013
- Full Text
- View/download PDF
10. UM ALGORITMO ITERATED LOCAL SEARCH PARA O STABLE MATCHING PROBLEM APLICADO AO PROBLEMA DE ALOCAÇÃO DE ALUNOS NAS ESCOLAS DA REDE PÚBLICA DE ENSINO
- Author
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Oliveira, Robson Vieira de, primary, Teixeira, Matheus Correia, additional, and Junior, Marco Antonio Bonelli, additional
- Published
- 2019
- Full Text
- View/download PDF
11. Effect of farming system on meat traits of native Massese suckling lamb
- Author
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Riccardo Bozzi, Antonio Bonelli, Francesco Sirtori, Valentina Becciolini, Alessandro Crovetti, Silvia Parrini, Anna Acciaioli, and Oreste Franci
- Subjects
business.industry ,animal diseases ,food and beverages ,Meat quality ,Massese lamb ,sustainability ,fatty acid ,Biology ,SF1-1100 ,meat quality ,Animal culture ,Animal science ,Agriculture ,Animal Science and Zoology ,massese lamb ,business - Abstract
Growth performance and meat quality traits of 24 Massese suckling lambs reared up to 69 days of age in different farming systems were evaluated. Three groups were considered: stall (S) reared indoors and fed concentrate and hay; pasture (P) reared outdoor and fed pasture and hay; semi free-range (F) reared indoors during the night and at pasture during the day, fed concentrate, hay and herbage. The lambs remained constantly with their dams for the whole period, having thus always access to mothers’ milk. Animals weights were recorded, and, after slaughtering, carcase traits were considered. Fatty acids composition and chemical/physical parameters of milk and meat were analysed. Lambs growth was similar in the first 30 days, while afterwards differences emerged: P lambs recorded the worst values reaching slaughter weight of 14.6 kg versus 22.3 and 22.7 of the S and the F group, respectively. Carcase of P lambs resulted less fat and with a lower lean/bone ratio than the other groups (1.8, 2.1 and 2.3 for P, S and F, respectively). Fatty acids composition of ewes’ milk had effect on lambs’ meat profile, probably because they continued to suck milk until slaughter. Moreover, also farming system affected fatty acids profile of lambs’ meat: grazing animals, especially P, showed the highest PUFA and the lowest SFA percentage and P meat showed the best composition for human health. As regards physical traits, F meat was more coloured than P and S meat, while P meat was less tender than others.Highlights Two-month-old Massese lamb is a marketable product. Suckled milk affected lambs’ meat composition also at later ages. Pasture in lambs’ diet increases PUFA content in the meat.
- Published
- 2021
12. Gerenciamento preditivo da duração de campanhas refratárias em uma indústria siderúrgica
- Author
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Dalila Rodrigues Baesso, Júlio César Alvarenga, and Marco Antonio Bonelli Junior
- Subjects
Physics ,Humanities - Abstract
Quando se trata de processos siderúrgicos, sabe-se que os materiais refratários são responsáveis por parcela significativa dos custos de produção do aço. Por tal motivo, este trabalho objetivou compreender a alta variabilidade e a baixa duração da campanha dos refratários que compõem um processo de lingotamento contínuo em uma aciaria LD de grande porte do estado de Minas Gerais, identificando a relação entre as variáveis intrínsecas ao equipamento de forma que seja possível a realização de estimativas sobre a duração de sua campanha. Para a seleção dos fatores explicativos, foi utilizado uma variação do método de ajuste de modelo por regressão múltipla Stepwise, sendo que, a cada passo do algoritmo citado, um modelo baseado em programação linear é responsável pelos cálculos dos coeficientes lineares de regressão. Ao final, obteve-se um modelo de predição para a duração da campanha contendo 12 fatores explicativos e possuindo 97,66\% de significância estatística.
- Published
- 2020
13. Hybrid approach with heuristic and exact method to solve the multi-skilled workforce coverage and vacation planning problem
- Author
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Junior, Marco Antonio Bonelli
- Published
- 2022
- Full Text
- View/download PDF
14. Effects of genotype and salting time on chemical, physical and sensorial traits of a new pig seasoned meat product ‘Cuore Di Spalla’
- Author
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Antonio Bonelli, Oreste Franci, Alessandro Crovetti, Chiara Aquilani, Francesco Sirtori, Doria Benvenuti, Carolina Pugliese, Riccardo Bozzi, and Luca Calamai
- Subjects
pig ,Salt content ,040301 veterinary sciences ,genotype ,Flavour ,0402 animal and dairy science ,Salting ,04 agricultural and veterinary sciences ,040201 dairy & animal science ,meat quality ,flavour ,0403 veterinary science ,CUORE ,Product (mathematics) ,Genotype ,Animal Science and Zoology ,Food science ,salt content ,lcsh:Animal culture ,Mathematics ,lcsh:SF1-1100 - Abstract
The aim of this work was to determine the chemical, physical and sensorial characteristics of a cured product called ‘Cuore di Spalla’, resulting from two different pig genotypes (G) and two salting times (S). Fourteen Duroc × Large White (D × LW) and 14 Cinta Senese × Large White (CS × LW), reared in the same condition in outdoor and fed commercial mixture. The animals were slaughtered at 10 months of age which corresponds to an average live weight of 143 ± 15 kg for D × LW and 122 ± 15 kg for CS × LW. The right shoulders were salted for 3 days (L) and the left ones for 5 days (H). Physical (colour, texture profile analysis), chemical (moisture; crude protein; IMF; ash; salt; total lipids; fatty acids) and sensorial analyses (by panellists’ group) as well as volatile compounds profile (by SPME-GC-MS technique) were determined at the end of seasoning period. The genotype affected product’s size (1484.3 vs 1857.1 g of final weight for CS × LW and D × LW respectively), chemical characteristics and texture (cohesiveness 0.50 vs 0.53 and springiness 6.73 vs 7.12 for CS × LW and D × LW respectively). Aromatic profile was less affected by the factors considered or at least the panellists were not able to discriminate the effect. The main family of volatile compounds affected by genotype was alcohols. Salting time seemed to affect only the parameters closely related to salt (16.52 vs 15.33% of salt and 5.15 vs 4.35 for saltiness in H vs L respectively).Highlights The genotypes determined differences in size, fat quantity and physical-chemical parameters of the ‘Cuore di Spalla’ product. Very limited differences in the aromatic profile were found. Both salting times led to high salt content in the product. It seems feasible to produce the ‘Cuore di Spalla’ with further reduction of salting times.
- Published
- 2019
15. Principal component analysis on fatty acid composition of the meat deriving from calves, young bull and bull of Maremmana breed slaughtered at different age
- Author
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Antonio Bonelli, Davide Rondina, Roberto Tocci, and Clara Sargentini
- Subjects
Maremmana ,animal structures ,animal diseases ,Agriculture (General) ,Population ,carne de vitela ,fatty acids ,S1-972 ,Animal science ,ácidos graxos ,bull meat, fatty acids, PCA, veal, young bull meat ,carne de touro ,education ,chemistry.chemical_classification ,education.field_of_study ,PCA ,carne de novilho ,General Veterinary ,biology ,0402 animal and dairy science ,Fatty acid ,food and beverages ,Agriculture ,04 agricultural and veterinary sciences ,veal ,biology.organism_classification ,040201 dairy & animal science ,Breed ,young bull meat ,análise multivariada dos componentes principais ,chemistry ,Principal component analysis ,040103 agronomy & agriculture ,Hay ,0401 agriculture, forestry, and fisheries ,Animal Science and Zoology ,Fatty acid composition ,Agronomy and Crop Science ,bull meat ,Polyunsaturated fatty acid - Abstract
This study evaluated the performance at slaughtering of calves; young bull and bull of Maremmana breed, and compared, through Analysis of Variance (ANOVA) and Principal Component Analysis (PCA) on fatty acid composition, the characteristics of the resulting meat categories: veal, young bull meat and bull meat. The Maremmana cattle is a local endangered breed deriving from Tuscany and Latium. The animals of this study were raised under same conditions in pasture with hay and concentrate supplementations. Eighteen calves of 12-14 months, 27 young bulls of 18 months and 14 bulls of 20-24 months were slaughtered in this trial. The performances at slaughtering were considered, and on the meat samples, the chemical analysis and the fatty acid composition were carried out. Results were submitted to ANOVA and PCA, and a Heat map that considered the fatty acid distances among meat typologies was built. Slaughtering performances were better in young bulls and bulls. Chemical composition didn’t differ among meat categories. Saturated fatty acids (SFA) were similar among meats, but Monounsaturated (MUFA) and Polyunsaturated fatty acids (PUFA) were lower in veal. Desirable fatty acids and Healthy Indices were better in veal. The results of PCA and Heat map confirmed that veal was quite different from other meats. Maremmana meat deriving from animals of different age has shown overall good characteristics, suitable for the diet of western country population. RESUMO: O objetivo deste trabalho foi avaliar o desempenho no abate de bezerros, novilhos e touros da raça Maremmana, e comparar, por meio de Análise de Variância (ANOVA) e Análise de Componentes Principais (PCA), a composição de ácidos graxos e as características da carne das diferentes categorias: bezerro, novilho e touro. Os animais deste estudo foram criados nas mesmas condições em pastagem com suplementação de feno e concentrado. Foram utilizados 18 vitelos abatidos aos 12-14 meses, 27 novilhos abatidos aos 18 meses e 14 touros abatidos aos 20-24 meses. Sucessivamente foi analisado o desempenho ao abate e as características nutricionais e físico-químicas do Musculus longissimus dorsi. Os resultados foram submetidos à análise de variância. Os parâmetros de abate foram melhores em novilhos e touros. A idade ao abate não afetou as características químicas da carne. Não houve diferença em relação à porcentagem de ácidos graxos saturados (SFA), mas a carne de vitela apresentou menor teor de monoinsaturados (MUFA) e poliinsaturados (PUFA). Os ácidos graxos desejáveis e os índices de saúde foram melhores na carne de vitela. A composição de ácidos graxos foi utilizada também, na análise multivariada dos componentes principais e no mapa de calor, como variável discriminatória para os três categorias de carne; essas análises confirmaram que o produto cárneo de vitela é diferente de outros tipos. A carne de Maremmana proveniente de animais de diferentes faixas etárias mostrou boas características gerais, adequadas para a dieta da população do país ocidental.
- Published
- 2021
16. Forage chain in extensive pig farming: Performance and meat quality traits of Cinta Senese vs Large White x Cinta Senese pigs
- Author
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Francesco Sirtori, Silvia Parrini, Riccardo Bozzi, Chiara Aquilani, Alessandro Crovetti, Antonio Bonelli, and Carolina Pugliese
- Subjects
General Veterinary ,Animal Science and Zoology - Published
- 2022
17. Quality of eggs from Lohmann Brown Classic laying hens fed black soldier fly meal as substitute for soya bean
- Author
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Giuliana Parisi, Fulvia Bovera, Giulia Secci, Laura Gasco, Sandra Nizza, Noemi Baronti, Giuseppe Conte, Antonio Bonelli, Andrea Serra, Secci, G., Bovera, F., Nizza, S., Baronti, N., Gasco, L., Conte, G., Serra, A., Bonelli, A., and Parisi, G.
- Subjects
Quality Control ,0301 basic medicine ,Lutein ,Hermetia illucens ,food.ingredient ,Eggs ,SF1-1100 ,03 medical and health sciences ,chemistry.chemical_compound ,Animal science ,food ,Yolk ,Animals ,Simuliidae ,Tocopherol ,Carotenoid ,Ovum ,chemistry.chemical_classification ,Meal ,carotenoids ,cholesterol ,egg ,tocopherol ,Animal Science and Zoology ,030109 nutrition & dietetics ,biology ,0402 animal and dairy science ,food and beverages ,Fatty acid ,04 agricultural and veterinary sciences ,biology.organism_classification ,Animal Feed ,Egg Yolk ,040201 dairy & animal science ,Animal culture ,Diet ,chemistry ,Plant protein ,embryonic structures ,Animal Nutritional Physiological Phenomena ,Female ,Chickens - Abstract
Soya bean is the main protein source in poultry feed but rising prices make an alternative protein source necessary. Insects, such as the black soldier fly (Hermetia illucens), may be an attractive solution for hens, although little information is available on their effect on egg quality. The present study aims to fill this gap by testing the effect of 100% replacement of soya bean with H. illucens larva meal in the diet of Lohmann Brown Classic laying hens for 21 weeks. At the end of the trial, the eggs were characterized for parameters such as weight, colour, proximate composition of albumen and yolk, and content of carotenoids, tocopherols and cholesterol. The fatty acid profile of yolks was also determined. Hens fed the insect-based diet produced eggs (HIM group) with a higher proportion of yolk than the group fed the soya bean-based diet (SBM group). HIM was associated with redder yolks (red index 5.63 v. 1.36) than SBM. HIM yolks were richer in γ-tocopherol (4.0 against 2.4 mg/kg), lutein (8.6 against 4.9 mg/kg), β-carotene (0.33 against 0.19 mg/kg) and total carotenoids (15 against 10.5 mg/kg) than SBM yolks. The fatty acid composition of HIM yolks was almost identical to that of SBM yolks. Finally, HIM yolks contained 11% less cholesterol than SBM yolks. These results suggest that H. illucens larva meal is a suitable total substitute for soya bean meal in the diet of Lohmann Brown Classic laying hens. A sustainable alternative to the plant protein source therefore seems feasible.
- Published
- 2018
18. UMA ABORDAGEM DINÂMICA PARA O PROBLEMA DE AQUISIÇÃO DE COMBUSTÍVEIS CONSIDERANDO INCERTEZAS DE PREÇO E DEMANDA
- Author
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Nathália Regina Silva Vieira, Williane Cristina Ribeiro, Guilherme Avelar Duarte, Marco Antonio Bonelli Junior, and Matheus de Araujo Butinholi
- Published
- 2019
19. A STOCHASTIC DYNAMIC MODEL FOR SUPPORT OF THE MANAGEMENT OF NEW PRODUCT DEVELOPMENT PORTFOLIOS
- Author
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Matheus Correia Teixeira, Marco Antonio Bonelli Junior, Thiago Augusto de Oliveira Silva, Samuel Martins Drei, and Luciana Paula Reis
- Subjects
business.industry ,Computer science ,New product development ,business ,Industrial engineering - Published
- 2019
20. UM ALGORITMO ITERATED LOCAL SEARCH PARA O STABLE MATCHING PROBLEM APLICADO AO PROBLEMA DE ALOCAÇÃO DE ALUNOS NAS ESCOLAS DA REDE PÚBLICA DE ENSINO
- Author
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Marco Antonio Bonelli Junior, Matheus Correia Teixeira, and Robson Vieira de Oliveira
- Published
- 2019
21. Multi-objective optimization of cutting parameters in the SAE 4340 steel turning process
- Author
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Marco Antonio Bonelli Junior, Bruno Silva de Lima, Bernardo Murta, and Augusto Campidelli
- Subjects
Computer science ,business.industry ,Process (computing) ,Process engineering ,business ,Multi-objective optimization - Published
- 2019
22. Effects of stunning/slaughtering methods in rainbow trout (Oncorhynchus mykiss) from death until rigor mortis resolution
- Author
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Giuliana Parisi, Rolf Erik Olsen, Antonio Bonelli, Anna Concollato, Marco Cullere, and Sheyla Cristina Vargas
- Subjects
0301 basic medicine ,Asphyxia ,Stunning ,04 agricultural and veterinary sciences ,Aquatic Science ,Biology ,Fishery ,03 medical and health sciences ,030104 developmental biology ,Animal science ,Atp depletion ,040102 fisheries ,medicine ,0401 agriculture, forestry, and fisheries ,%22">Fish ,Rainbow trout ,Energy charge ,medicine.symptom ,Blood parameters ,Rigor mortis - Abstract
The effects of stunning/slaughtering methods (carbon monoxide asphyxia, CO; electroshock, E; asphyxia in the air, A) were studied in rainbow trout kept in freshwater at 12 °C. The fish were analysed for blood parameters, rigor mortis evolution, fillets shape changes over 48 h, and ATP depletion and Adenylate Energy Charge (AEC) in muscle immediately after death. Treatment A was most stressful giving the lowest pH values during rigor evolution, the highest concentration of lactate (6.31 mM) in plasma and the lowest AEC values in the muscle. None of the three-stunning/slaughtering methods affected perimeter, length and height of the fillets, with exception for the area at 24 h and 48 h post mortem, which was significantly reduced by CO treatment (CO Statements of relevance 1. The application of CO as slaughtering/killing method on rainbow trout, focusing on the effects produced in the pattern of some analytical parameters during the first period post mortem 2. The use of carbon monoxide for killing fish has been only recently experimented and only in Atlantic salmon. 3. Improve the knowledge about the use of CO, due the scarcity of information in scientific literature
- Published
- 2016
23. Effect of mechanical separation process on lipid oxidation in European aquacultured sea bass, gilthead sea bream, and rainbow trout products
- Author
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Giulia Secci, Paola Lupi, Simone Mancini, Antonio Bonelli, Giuliana Parisi, Monica Borgogno, Gisella Paci, and Silvia Rossi
- Subjects
Fishburger ,TBARS ,Nutritional quality ,Biology ,0404 agricultural biotechnology ,Lipid oxidation ,Aquaculture ,MSM ,Food science ,Sea bass ,business.industry ,0402 animal and dairy science ,04 agricultural and veterinary sciences ,Fish products ,040401 food science ,040201 dairy & animal science ,Antioxidant capacity ,Mechanical separation ,Food Science ,Biotechnology ,Separation process ,Fishery ,Rainbow trout ,Frozen storage ,business - Abstract
Mechanical separation systems are a good option to create new fish products and open new market, however studies on the effect on quality of mechanical treatment on species of interest for European aquaculture, such as European sea bass, gilthead sea bream, and rainbow trout are scarce. Thus in this research, the effect on colour, nutritional quality, and lipid stability was considered immediately after separation process and after 90 days of frozen storage. Results revealed that mechanical separation technique significantly affected colour and lipid stability of the three studied species. Increases in L* and secondary oxidation products were observed, together with a decrease of antioxidant capacity. Nutritional value instead was unaffected by treatment. Thus, mechanical separation process could represent a new way to better exploit species of interest for European aquaculture and acquire new market niches, but oxidative processes during the treatment have to be limited and kept under control.
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- 2016
24. Effects of different stunning/slaughter methods on frozen fillets quality of cobia (Rachycentron canadum)
- Author
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Antonio Bonelli, Elisabete Maria Macedo Viegas, Judite das Graças Lapa Guimarães, Sheyla Cristina Vargas Baldi, Júlio Cesar de Carvalho Balieiro, and Giuliana Parisi
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Cobia ,Thiobarbituric acid ,Flesh ,Stunning ,ABATE ,04 agricultural and veterinary sciences ,Aquatic Science ,Biology ,biology.organism_classification ,Shelf life ,040401 food science ,chemistry.chemical_compound ,0404 agricultural biotechnology ,Animal science ,chemistry ,040102 fisheries ,TBARS ,0401 agriculture, forestry, and fisheries ,Frozen storage ,Fillet (mechanics) - Abstract
The aim of this study was to evaluate the influence of stunning/slaughter methods on the animal welfare aspects and on the physical and chemical parameters of frozen cobia ( Rachycentron canadum ) meat, during the frozen storage. Fish (n = 30 per treatment) were stunned electronarcosis, by hypothermia and CO 2 narcosis, then slaughtered by gill cutting and stored at − 18 °C for 180 days. During stunning/slaughter, water quality and the time to reach clinical indicators of unconsciousness were observed. During the storage period, every 60 days, samples were taken and analysed for pH, total volatile base nitrogen (TVBN), thiobarbituric acid reactive substances (TBARS), protein (actin and myosin) denaturation, fatty acid composition, colour (L*, a*, and b*), texture, drip loss (DL), cooking loss (CL) and water holding capacity (WHC). The time to reach unconsciousness resulted faster (2 s) when electronarcosis was applied, while the times were longer with hypothermia and CO 2 narcosis (17.5 min and 48 min, respectively). TVBN, DL, TBARS, texture, actin, myosin, pH, L*, a*, and b* were not affected by the stunning methods while CL was significantly higher in fillet of fish stunned by electronarcosis not altering the shelf life of the fillets. Based on the behaviour of the parameters analysed, electronarcosis seemed to be an adequate stunning method for cobia, since promoted fast unconsciousness and it did not compromise flesh quality.
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- 2018
25. Clinical Severity, Age, and Sex Overcome Cardiometabolic Morbidities but Not Stroke as Predictors of Mortality in Elderly Inpatients: Data From the REgistro POliterapie Società Italiana di Medicina Interna Registry
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Salvatore, Corrao, Alessandra, Marengoni, Giuseppe, Natoli, Alessandro, Nobili, Piermannuccio, Mannucci, Francesco, Perticone, Domenico, Prisco, Elena, Silvestri, Caterina, Cenci, Tommaso, Barnini, Giuseppe, Delitala, Stefano, Carta, Sebastiana, Atzori, Gianfranco, Guarnieri, Michela, Zanetti, Annalisa, Spalluti, Maria Grazia Serra, Maria Antonietta Bleve, Massimo, Vanoli, Giulia, Grignani, Gianluca, Casella, Laura, Gasbarrone, Giorgio, Maniscalco, Massimo, Gunelli, Daniela, Tirotta, Antonio, Brucato, Silvia, Ghidoni, Paola Di Corato, Mauro, Bernardi, Silvia Li Bassi, Luca, Santi, Giancarlo, Agnelli, Emanuela, Marchesini, Elmo, Mannarino, Graziana, Lupattelli, Pamela, Rondelli, Francesco, Paciullo, Fabrizio, Fabris, Michela, Carlon, Francesca, Turatto, Maria Cristina Baroni, Marianna, Zardo, Manfredini, Roberto, Christian, Molino, Marco, Pala, Fabbian, Fabio, Ranuccio, Nuti, Roberto, Valenti, Martina, Ruvio, Silvia, Cappelli, Giuseppe, Paolisso, Maria Rosaria Rizzo, Maria Teresa Laieta, Teresa, Salvatore, Ferdinando Carlo Sasso, Riccardo, Utili, Emanuele Durante Mangoni, Daniela, Pinto, Oliviero, Olivieri, Anna Maria Stanzial, Renato, Fellin, Volpato, Stefano, Sioulis, Fotini, Mario, Barbagallo, Ligia, Dominguez, Lidia, Plances, Daniela, D’Angelo, Giovanbattista, Rini, Pasquale, Mansueto, Ilenia, Pepe, Giuseppe, Licata, Luigi, Calvo, Maria, Valenti, Claudio, Borghi, Enrico, Strocchi, Elisa, Rebecca, Marco, Zoli, Elisa, Fabbri, Donatella, Magalotti, Alberto, Auteri, Anna Laura Pasqui, Luca, Puccetti, Franco Laghi Pasini, Pier Leopoldo Capecchi, Maurizio, Bicchi, Carlo, Sabbà, Francesco Saverio Vella, Alessandro, Marseglia, Chiara Valentina Luglio, Giuseppe, Palasciano, Maria Ester Modeo, Annamaria, Aquilino, Raffaele, Pallante, Stefania, Pugliese, Caterina, Capobianco, Alfredo, Postiglione, Maria Rosaria Barbella, Francesco De Stefano, Luigi, Fenoglio, Chiara, Brignone, Christian, Bracco, Alessia, Giraudo, Giuseppe, Musca, Olga, Cuccurullo, Luigi, Cricco, Alessandra, Fiorentini, Maria Domenica Cappellini, Giovanna, Fabio, Sonia, Seghezzi, Margherita Migone De Amicis, Silvia, Fargion, Paola, Bonara, Mara, Bulgheroni, Rosa, Lombardi, Marianna, Porzio, Giulia, Periti, Fabio, Magrini, Ferdinando, Massari, Tatiana, Tonella, Flora, Peyvandi, Alberto, Tedeschi, Raffaella, Rossio, Guido, Moreo, Barbara, Ferrari, Luisa, Roncari, Valter, Monzani, Valeria, Savojardo, Christian, Folli, Maria, Magnini, Daniela, Mari, Paolo Dionigi Rossi, Sarah, Damanti, Silvia, Prolo, Maria Sole Lilleri, Giuliana, Micale, Mauro, Podda, Carlo, Selmi, Francesca, Meda, Francesco, Salerno, Silvia, Accordino, Alessio, Conca, Valentina, Monti, Gino Roberto Corazza, Emanuela, Miceli, Marco Vincenzo Lenti, Donatella, Padula, Balduini, Carlo L., Giampiera, Bertolino, Stella, Provini, Federica, Quaglia, Giovanni, Murialdo, Marta, Bovio, Franco, Dallegri, Luciano, Ottonello, Alessandra, Quercioli, Alessandra, Barreca, Maria Beatrice Secchi, Davide, Ghelfi, Wu Sheng Chin, Laura, Carassale, Silvia, Caporotundo, Luigi, Anastasio, Lucia, Sofia, Maria, Carbone, Giancarlo, Traisci, Lucrezia De Feudis, Silvia Di Carlo, Giovanni, Davì, Maria Teresa Guagnano, Simona, Sestili, Elisabetta, Bergami, Emanuela, Rizzioli, Carlo, Cagnoni, Luca, Bertone, Antonio, Manucra, Alberto, Buratti, Tiziana, Tognin, Nicola Lucio Liberato, Giordano, Bernasconi, Barbara, Nardo, Giovanni Battista Bianchi, Sabrina, Giaquinto, Giampiero, Benetti, Michela, Quagliolo, Giuseppe Riccardo Centenaro, Francesco, Purrello, Antonino Di Pino, Salvatore, Piro, Gerardo, Mancuso, Daniela, Calipari, Mosè, Bartone, Francesco, Gullo, Michele, Cortellaro, Marina, Magenta, Francesca, Perego, Maria Rachele Meroni, Marco, Cicardi, Antonio Gidaro Marina Magenta, Andrea, Sacco, Antonio, Bonelli, Gaetano, Dentamaro, Renzo, Rozzini, Lina, Falanga, Alessandro, Giordano, Paolo Cavallo Perin, Bartolomeo, Lorenzati, Gabriella, Gruden, Graziella, Bruno, Giuseppe, Montrucchio, Elisabetta, Greco, Pietro, Tizzani, Giacomo, Fera, Maria Loreta Di Luca, Donatella, Renna, Antonio, Perciccante, Alessia, Coralli, Rodolfo, Tassara, Deborah, Melis, Lara, Rebella, Giorgio, Menardo, Stefania, Bottone, Elsa, Sferrazzo, Claudio, Ferri, Rinaldo, Striuli, Rosa, Scipioni, Raffaella, Salmi, Piergiorgio, Gaudenzi, Susanna, Gamberini, Franco, Ricci, Cosimo, Morabito, Roberto, Fava, Andrea, Semplicini, Lucia, Gottardo, Gianluigi, Vendemiale, Gaetano, Serviddio, Roberta, Forlano, Luigi, Bolondi, Leonardo, Rasciti, Ilaria, Serio, Cesare, Masala, Antonio, Mammarella, Valeria, Raparelli, Filippo Rossi Fanelli, Massimo, Delfino, Antonio, Amoroso, Francesco, Violi, Stefania, Basili, Ludovica, Perri, Pietro, Serra, Vincenzo, Fontana, Marco, Falcone, Raffaele, Landolfi, Antonio, Grieco, Antonella, Gallo, Giuseppe, Zuccalà, Francesco, Franceschi, Guido De Marco, Cordischi, Chiara, Sabbatini, Marta, Martino, Bellusci, Donatella, Setti, Filippo, Pedrazzoli, Giuseppe, Romanelli, Caterina, Pirali, Claudia, Amolini, Enrico Agabiti Rosei, Damiano, Rizzoni, Luana, Castoldi, Antonio, Picardi, Umberto Vespasiani Gentilucci, Chiara, Mazzarelli, Paolo, Gallo, Luigina, Guasti, Luana, Castiglioni, Andrea, Maresca, Alessandro, Squizzato, Sara, Contini, Marta, Molaro, Giorgio, Annoni, Maurizio, Corsi, Sara, Zazzetta, Marco, Bertolotti, Chiara, Mussi, Roberto, Scotto, Maria Alice Ferri, Francesca, Veltri, Franco, Arturi, Elena, Succurro, Giorgio, Sesti, Umberto, Gualtieri, Angela, Sciacqua, Michele, Quero, Chiara, Bagnato, Paola, Loria, Maria Angela Becchi, Gianfranco, Martucci, Alessandra, Fantuzzi, Mauro, Maurantonio, Roberto, Corinaldesi, Roberto De Giorgio, Mauro, Serra, Valentina, Grasso, Eugenio, Ruggeri, Lorenzo Mauro Carozza, Fabio, Pignatti, Corrao, S., Marengoni, A., Natoli, G., Nobili, A., Mannucci, P., and Perticone, F.
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Male ,Pediatrics ,medicine.medical_specialty ,REPOSI study ,Clinical severity, age, stroke, risk factors, elderly, REPOSI study ,Socio-culturale ,030204 cardiovascular system & hematology ,Age and sex ,elderly ,Severity of Illness Index ,03 medical and health sciences ,Sex Factors ,0302 clinical medicine ,Metabolic Diseases ,medicine ,risk factors ,Humans ,Clinical severity ,Hospital Mortality ,Registries ,030212 general & internal medicine ,Stroke ,Aged ,Aged, 80 and over ,Inpatients ,business.industry ,Age Factors ,medicine.disease ,age ,Italy ,Cardiovascular Diseases ,Female ,Morbidity ,Geriatrics and Gerontology ,business - Published
- 2016
26. Mealworm as dietary protein source for rainbow trout: Body and fillet quality traits
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Francesco Gai, Antonio Bonelli, Giuliana Parisi, Rita Pupino, and Valeria Iaconisi
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Mealworm ,Aquatic Science ,Fish meal ,Food science ,Fatty acids ,Fillet (mechanics) ,chemistry.chemical_classification ,Meal ,biology ,Flesh ,Quality traits ,0402 animal and dairy science ,Fatty acid ,food and beverages ,04 agricultural and veterinary sciences ,biology.organism_classification ,040201 dairy & animal science ,Fishery ,chemistry ,Insect meal ,Oncorhynchus mykiss ,040102 fisheries ,0401 agriculture, forestry, and fisheries ,Rainbow trout ,Tenebrio molitor larvae ,Polyunsaturated fatty acid - Abstract
The present study tested a partial substitution of fish meal (FM) with increasing levels of full-fat Tenebrio molitor larvae meal (TM) in diets for rainbow trout (115.6 ± 14.0 g initial body weight) on body morphological and marketable characteristics, and on fillets physical and chemical traits. Fish were fed three diets: a control diet (TM0) and two other diets (TM25 and TM50) corresponding to 0, 25 and 50% of TM inclusion level, respectively. After 90 days of rearing, no statistical differences were detected for morphometric and slaughter traits and for pH, water holding capacity, cooking loss and shear force in raw and cooked fillets. Moreover, diets did not affect the colour of raw and cooked fillet; however, significant variations were observed in colour of skin (dorsal region), that showed higher redness index (a*) in TM0 and TM25 groups. No differences were observed in proximate composition of fillets (raw and cooked), whilst fatty acid (FA) profile was strongly affected by the diet insect meal content. The FAs C16:0, C18:1n9 and C18:2n6 increased whilst EPA and DHA progressively diminished in fillets when TM inclusion in feeds increased. Regarding the FA quality indexes (both for raw and cooked fillets), TM50 group had a higher thrombogenicity index than the TM0 group; PUFA/SFA and n3/n6 ratio gradually decreased with the increase of FM replacement in the diets. In conclusion, TM could partially replace FM in rainbow trout diet, without having a negative effect on fish characteristics and on most quality traits of the fish flesh, except for fatty acid profile.
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- 2017
- Full Text
- View/download PDF
27. Antipsychotic prescription and mortality in hospitalized older persons
- Author
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Deborah, Chiesa, Alessandra, Marengoni, Alessandro, Nobili, Mauro, Tettamanti, Luca, Pasina, Carlotta, Franchi, Codjo, D Djade, Salvatore, Corrao, Francesco, Salerno, Maura, Marcucci, Giuseppe, Romanelli, Pier Mannuccio Mannucci, Domenico, Prisco, Elena, Silvestri, Caterina, Cenci, Tommaso, Barnini, Giuseppe, Delitala, Stefano, Carta, Sebastiana, Atzori, Gianfranco, Guarnieri, Michela, Zanetti, Annalisa, Spalluti, Maria Grazia Serra, Maria Antonietta Bleve, Massimo, Vanoli, Giulia, Grignani, Gianluca, Casella, Laura, Gasbarrone, Giorgio, Maniscalco, Massimo, Gunelli, Daniela, Tirotta, Antonio, Brucato, Silvia, Ghidoni, Paola Di Corato, Mauro, Bernardi, Silvia Li Bassi, Luca, Santi, Giancarlo, Agnelli, Emanuela, Marchesini, Elmo, Mannarino, Graziana, Lupattelli, Pamela, Rondelli, Francesco, Paciullo, Fabrizio, Fabris, Michela, Carlon, Francesca, Turatto, Maria Cristina Baroni, Marianna, Zardo, Manfredini, Roberto, Christian, Molino, Marco, Pala, Fabbian, Fabio, Ranuccio, Nuti, Roberto, Valenti, Martina, Ruvio, Silvia, Cappelli, Giuseppe, Paolisso, Maria Rosaria Rizzo, Maria Teresa Laieta, Teresa, Salvatore, Ferdinando Carlo Sasso, Riccardo, Utili, Emanuele Durante Mangoni, Daniela, Pinto, Oliviero, Olivieri, Anna Maria Stanzial, Fellin, Renato, Volpato, Stefano, Sioulis, Fotini, Mario, Barbagallo, Ligia, Dominguez, Lidia, Plances, Daniela, D’Angelo, Giovanbattista, Rini, Pasquale, Mansueto, Ilenia, Pepe, Giuseppe, Licata, Luigi, Calvo, Maria, Valenti, Claudio, Borghi, Enrico, Strocchi, Elisa Rebecca Rinaldi, Marco, Zoli, Elisa, Fabbri, Donatella, Magalotti, Alberto, Auteri, Anna Laura Pasqui, Luca, Puccetti, Franco Laghi Pasini, Pier Leopoldo Capecchi, Maurizio, Bicchi, Carlo, Sabbà, Francesco Saverio Vella, Alessandro, Marseglia, Chiara Valentina Luglio, Giuseppe, Palasciano, Maria Ester Modeo, Annamaria, Aquilino, Pallante, Raffaele, Stefania, Pugliese, Caterina, Capobianco, Alfredo, Postiglione, Maria Rosaria Barbella, Francesco De Stefano, Luigi, Fenoglio, Chiara, Brignone, Christian, Bracco, Alessia, Giraudo, Giuseppe, Musca, Olga, Cuccurullo, Luigi, Cricco, Alessandra, Fiorentini, Maria Domenica Cappellini, Giovanna, Fabio, Sonia, Seghezzi, Margherita Migone De Amicis, Silvia, Fargion, Paola, Bonara, Mara, Bulgheroni, Rosa, Lombardi, Marianna, Porzio, Giulia, Periti, Fabio, Magrini, Ferdinando, Massari, Tatiana, Tonella, Flora, Peyvandi, Alberto, Tedeschi, Raffaella, Rossio, Guido, Moreo, Barbara, Ferrari, Luisa, Roncari, Valter, Monzani, Valeria, Savojardo, Christian, Folli, Maria, Magnini, Daniela, Mari, Paolo Dionigi Rossi, Sarah, Damanti, Silvia, Prolo, Maria Sole Lilleri, Giuliana, Micale, Mauro, Podda, Carlo, Selmi, Francesca, Meda, Silvia, Accordino, Alessio, Conca, Valentina, Monti, Gino Roberto Corazza, Emanuela, Miceli, Marco Vincenzo Lenti, Donatella, Padula, Balduini, Carlo L., Giampiera, Bertolino, Stella, Provini, Federica, Quaglia, Giovanni, Murialdo, Marta, Bovio, Franco, Dallegri, Luciano, Ottonello, Alessandra, Quercioli, Alessandra, Barreca, Maria Beatrice Secchi, Davide, Ghelfi, Wu Sheng Chin, Laura, Carassale, Silvia, Caporotundo, Luigi, Anastasio, Lucia, Sofia, Maria, Carbone, Giancarlo, Traisci, Lucrezia De Feudis, Silvia Di Carlo, Giovanni, Davì, Maria Teresa Guagnano, Simona, Sestili, Elisabetta, Bergami, Emanuela, Rizzioli, Carlo, Cagnoni, Luca, Bertone, Antonio, Manucra, Alberto, Buratti, Tiziana, Tognin, Nicola Lucio Liberato, Giordano, Bernasconi, Barbara, Nardo, Giovanni Battista Bianchi, Sabrina, Giaquinto, Giampiero, Benetti, Michela, Quagliolo, Giuseppe Riccardo Centenaro, Francesco, Purrello, Antonino Di Pino, Salvatore, Piro, Gerardo, Mancuso, Daniela, Calipari, Mosè, Bartone, Francesco, Gullo, Michele, Cortellaro, Marina, Magenta, Francesca, Perego, Maria Rachele Meroni, Marco, Cicardi, Antonio Gidaro Marina Magenta, Andrea, Sacco, Antonio, Bonelli, Gaetano, Dentamaro, Renzo, Rozzini, Lina, Falanga, Alessandro, Giordano, Paolo Cavallo Perin, Bartolomeo, Lorenzati, Gabriella, Gruden, Graziella, Bruno, Giuseppe, Montrucchio, Elisabetta, Greco, Pietro, Tizzani, Giacomo, Fera, Maria Loreta Di Luca, Donatella, Renna, Antonio, Perciccante, Alessia, Coralli, Rodolfo, Tassara, Deborah, Melis, Lara, Rebella, Giorgio, Menardo, Stefania, Bottone, Elsa, Sferrazzo, Claudio, Ferri, Rinaldo, Striuli, Rosa, Scipioni, Raffaella, Salmi, Piergiorgio, Gaudenzi, Susanna, Gamberini, Franco, Ricci, Cosimo, Morabito, Roberto, Fava, Andrea, Semplicini, Lucia, Gottardo, Gianluigi, Vendemiale, Gaetano, Serviddio, Roberta, Forlano, Luigi, Bolondi, Leonardo, Rasciti, Ilaria, Serio, Cesare, Masala, Antonio, Mammarella, Raparelli, Valeria, Filippo Rossi Fanelli, Massimo, Delfino, Antonio, Amoroso, Francesco, Violi, Stefania, Basili, Ludovica, Perri, Pietro, Serra, Vincenzo, Fontana, Marco, Falcone, Raffaele, Landolfi, Antonio, Grieco, Antonella, Gallo, Giuseppe, Zuccalà, Francesco, Franceschi, Guido De Marco, Cordischi, Chiara, Sabbatini, Marta, Martino, Bellusci, Donatella, Setti, Filippo, Pedrazzoli, Caterina, Pirali, Claudia, Amolini, Enrico Agabiti Rosei, Damiano, Rizzoni, Luana, Castoldi, Antonio, Picardi, Umberto Vespasiani Gentilucci, Chiara, Mazzarelli, Paolo, Gallo, Luigina, Guasti, Luana, Castiglioni, Andrea, Maresca, Alessandro, Squizzato, Sara, Contini, Marta, Molaro, Giorgio, Annoni, Maurizio, Corsi, Sara, Zazzetta, Marco, Bertolotti, Chiara, Mussi, Roberto, Scotto, Maria Alice Ferri, Francesca, Veltri, Franco, Arturi, Elena, Succurro, Giorgio, Sesti, Umberto, Gualtieri, Francesco, Perticone, Angela, Sciacqua, Michele, Quero, Chiara, Bagnato, Paola, Loria, Maria Angela Becchi, Gianfranco, Martucci, Alessandra, Fantuzzi, Mauro, Maurantonio, Roberto, Corinaldesi, DE GIORGIO, Roberto, Mauro, Serra, Valentina, Grasso, Eugenio, Ruggeri, Lorenzo Mauro Carozza, Fabio, Pignatti., Chiesa, D., Marengoni, A., Nobili, A., Tettamanti, M., Pasina, L., Franchi, C., Djade, C., Corrao, S., Salerno, F., Marcucci, M., Romanelli, G., and Mannucci, P.
- Subjects
Male ,Socio-culturale ,Older person ,Antipsychotic ,Cognition ,Economica ,Antipsychotics ,Hospitalization ,Mortality ,Older persons ,Gerontology ,Geriatrics and Gerontology ,Psychiatry and Mental Health ,Humans ,Psychomotor Agitation ,Aged ,antipsychotics, hospitalization, mortality, older persons ,Aged, 80 and over ,Mental Disorders ,Patient Discharge ,antipsychotics ,Italy ,hospitalization ,mortality ,older persons ,Dementia ,Female ,Antipsychotic Agents - Abstract
Background: Recent scientific reports have shown that older persons treated with antipsychotics for dementia-related behavioural symptoms have increased mortality. However, the impact of these drugs prescribed during hospitalization has rarely been assessed. We aimed to investigate whether antipsychotics are associated with an increased risk of mortality during hospitalization and at 3-month follow-up in elderly inpatients. Methods: We analyzed data gathered during two waves (2010 and 2012) by the REPOSI (Registro Politerapie Società Italiana Medicina Interna). All new prescriptions of antipsychotic drugs during hospitalization, whether maintained or discontinued at discharge, were collected, and logistic regression models were used to analyze their association with in-hospital and 3-month mortality. Covariates were age, sex, the Short Blessed Test (SBT) score, and the Cumulative Illness Rating Scale. Results: Among 2703 patients included in the study, 135 (5%) received new prescriptions for antipsychotic drugs. The most frequently prescribed antipsychotic during hospitalization and eventually maintained at discharge was haloperidol (38% and 36% of cases, respectively). Patients newly prescribed with antipsychotics were older and had a higher Cumulative Illness Rating Scale comorbidity index both at admission and at discharge compared to those who did not receive a prescription. Of those prescribed antipsychotics, 71% had an SBT score â¥10 (indicative of dementia), 12% had an SBT score of 5-9 (indicative of questionable dementia); and 17% had an SBT score
- Published
- 2017
28. The fatty acid compositions of total, neutral and polar lipids in wild and farmed lambari (Astyanax altiparanae) (Garutti & Britski, 2000) broodstock
- Author
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Antonio Bonelli, Ligia Uribe Gonçalves, Giuliana Parisi, Fábio Rosa Sussel, and Elisabete Maria Macedo Viegas
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chemistry.chemical_classification ,Linoleic acid ,Fish farming ,Fatty acid ,Broodstock ,Aquatic Science ,Biology ,chemistry.chemical_compound ,Fish meal ,ÁCIDOS GRAXOS ,Biochemistry ,chemistry ,Essential fatty acid ,Docosahexaenoic acid ,Food science ,Polyunsaturated fatty acid - Abstract
One way to develop broodstock fish diets is to determine the compositions of wild broodstock tissues and attempt to replicate these compositions in the eggs of farmed fish via dietary manipulation. We collected 30 wild and 30 farmed lambari females that were in the reproductive stage. The extraction and separation of polar and neutral fractions and the saponification and methylation of lipids were performed and analysed in the muscles, livers and ovaries to determine the compositions of the fatty acids via gas chromatography. Regardless of habitat, lambaris mobilize large amounts of fat to the ovaries during the reproductive period, in addition to highly unsaturated fatty acids, such as arachidonic, eicosapentaenoic and docosahexaenoic acids. The wild lambaris were observed to contain higher levels of various fatty acids, including linoleic acid, which is an essential fatty acid. The most abundant fatty acid that was observed in the commercial diet was linoleic acid, which was supplied in all fish farmed tissues. The commercial diet has low AA, EPA and DHA contents, and, higher levels of these fatty acids were recorded in the tissues of farmed lambari, which suggests that this species are able to elongate and desaturate precursors, linoleic and linolenic acids, into highly unsaturated fatty acids.
- Published
- 2012
29. [Untitled]
- Author
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Antonio Bonelli, Bianca Maria Poli, Giuliana Parisi, Paola Lupi, F. Iurzan, Massimo Mecatti, and G. Zampacavallo
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biology ,business.industry ,Flesh ,Food spoilage ,Aquatic Science ,Argyrosomus regius ,biology.organism_classification ,Fishery ,Animal science ,Aquaculture ,Dicentrarchus ,Intramuscular fat ,Sea bass ,business ,Fillet (mechanics) ,Agronomy and Crop Science - Abstract
Meagre (Argyrosomus regius) intensively reared in tank by a Tuscany farm and fed commercial diets, were examined to study a) marketable and flesh nutritional traits in commercial-size fish and b) loss of freshness under refrigerated storage condition. Eighty fish, sampled in May, July and November (at 24, 26, 30 months of age) were submitted to linear measurements and weight of the most important body components. Whole fillets were analysed for moisture, lipid and fatty acid composition. Data were analysed by ANOVA (sampling date). A sub sample of fifty-four meagre (902–1840 g b.w.) was stored at 1 °C with ice cover and evaluated every 24 h after death until spoilage for the EU freshness classes, dielectric properties, rigor index, muscular and eye liquor pH, K1% freshness index. Data were analysed by regression on time after death. A small sample of meagre (n = 6) and sea bass (Dicentrarchus labrax) (n = 6), reared in analogous rearing condition in the same farm were compared by ANCOVA on body weight (average b.w. 668 g). Meagre were characterised by 1.04 condition factor, 44% fillets, 6% viscera, negligible mesenteric fat (≅1%) and 94.5% dressing yield. The head incidence increased (P < 0.01) with b.w. increase. Moisture increased while lipid decreased (P < 0.01) in fillet from July to November (74.47 vs 75.96%; 2.93 vs 2.06%). An index of thrombogenicity calculated from the quantitative fatty acid composition was very low (0.10). In comparison with sea bass of the same body weight, meagre had greater length (41.2 vs 37.6 cm), head incidence (29.9 vs 20.7%) and dressing (94.8 vs 89.2%) and lower viscera (5.2 vs 10.9%), mesenteric fat (0.9 vs 7.9%) and intramuscular fat (2.24 vs 12.78%) incidences. Meagre had a 9-day shelf-life (E class from 1st to 3rdd and A class from 4th to 7thd). Rigor index and impedance remained higher than 90% and 66, respectively until the 3rdd after death. The quality traits found for this species indicated meagre as a promising candidate for Mediterranean aquaculture.
- Published
- 2003
30. Heart failure and chronic kidney disease in a registry of internal medicine wards
- Author
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Rosa Di Costanzo, Roberto Corinaldesi, Federica Quaglia, Umberto Vespasiani Gentilucci, Giancarlo Agnelli, M. Vanoli, Roberta Forlano, Valeria Savojardo, Luca Bertone, Elisa Fabbri, Antonino Di Pino, Claudia Amolini, Giampiera Bertolino, Paolo Cavallo Perin, Paola Bonara, Tommaso Barnini, Fabrizio Fabris, Paola Di Corato, Maria Rosaria Barbella, Francesco Franceschi, Elisabetta Bergami, Roberto Manfredini, Sonia Seghezzi, Enrico Strocchi, Maria Domenica Cappellini, Antonio Manucra, Alberto Tedeschi, Maurizio Corsi, Gabriella Gruden, Giuseppe Licata, Marianna Zardo, Emanuela Marchesini, Luca Pasina, Maria Ester Modeo, Mosè Bartone, Barbara Nardo, Umberto Gualtieri, Sabbatini Marta, Caterina Cenci, Alessia Coralli, Giorgio Annoni, Lucrezia De Feudis, V. Monti, Pietro Serra, Anna Maria Stanzial, Antonio Bonelli, Gianpaolo Reboldi, Francesco Paciullo, Ferdinando Massari, Graziana Lupattelli, Giorgio Sesti, Silvia Fargion, Angela Sciacqua, Giovanna Fabio, Silvia Di Carlo, Maria Grazia Serra, Emanuele Durante Mangoni, Salvatore Corrao, Maria Angela Becchi, Margherita Migone De Amicis, Francesco Gullo, Silvia Cappelli, Flora Peyvandi, Paolo Gallo, Chiara Mazzarelli, Daniela Calipari, Ferdinando Carlo Sasso, Carlo Cagnoni, Laura Carassale, Donatella Renna, Paola Loria, Davide Ghelfi, Alessandra Quercioli, Maria Teresa Guagnano, Luana Castoldi, Massimo Delfino, Cosimo Morabito, Giuseppe Musca, Francesca Turatto, Silvia Prolo, Lina Falanga, Michela Zanetti, Antonio Perciccante, Francesco Purrello, Marco Cicardi, Maria Beatrice Secchi, Mauro Tettamanti, Maria Rosaria Rizzo, Luigi Anastasio, C. Masala, Andrea Maria Maresca, Elena Silvestri, Domenico Prisco, Filippo Pedrazzoli, Marco Bertolotti, Guido De Marco, Giancarlo Traisci, Maria Carmela Carbone, Filippo Rossi Fanelli, Maria Valenti, Ilenia Pepe, Deborah Melis, Christian Bracco, Giorgio Maniscalco, Antonella Gallo, Daniela D'Angelo, Alfonso Iorio, Gianfranco Martucci, Tatiana Tonella, Ilaria Serio, Wu Sheng Chin, Michela Quagliolo, Cordischi Chiara, Andrea Sacco, Pietro Tizzani, Antonio Mammarella, Donatella Setti, Damiano Rizzoni, Lucia Gottardo, Olga Cuccurullo, Gino Roberto Corazza, Rinaldo Striuli, Elmo Mannarino, Guido Moreo, Luana Castiglioni, G. Vaudo, Teresa Salvatore, Maurizio Bicchi, Raffaella Rossio, Francesco Violi, Donatella Magalotti, Giuseppe Zuccalà, Luca Puccetti, Luigi Fenoglio, Daniela Tirotta, Alessandra Fiorentini, Oliviero Olivieri, Christian Folli, Alberto Buratti, Francesco Saverio Vella, Vincenzo Fontana, Giulia Grignani, Laura Gasbarrone, Sara Zazzetta, Antonio Brucato, Marco Zoli, Michele Cortellaro, Stella Provini, Claudio Borghi, Mario Barbagallo, Rodolfo Tassara, Sara Contini, Elisa Rebecca Rinaldi, Lidia Plances, Stefano Volpato, Alessandra Barreca, Ludovica Perri, Stefania Alborghetti, Chiara Valentina Luglio, Donatella Padula, Codjo Djignefa Djade, Maria Rachele Meroni, Mara Bulgheroni, Giuseppe Riccardo Centenaro, Chiara Bagnato, Salvatore Piro, Nicola Lucio Liberato, Luigi Bolondi, Franco Ricci, Annalisa Spalluti, Luciano Ottonello, Giordano Bernasconi, Antonio Picardi, Michela Carlon, Riccardo Utili, Maria Alice Ferri, Roberto Valenti, Francesca Veltri, Giorgio Menardo, Giuliana Micale, Maria Cristina Baroni, Piergiorgio Gaudenzi, Pallante Raffaele, Simona Sestili, Giuseppe Romanelli, Roberto De Giorgio, L. Rasciti, Franco Arturi, Marta Bovio, Alessandro Squizzato, Leonella Pasqualini, Pier Leopoldo Capecchi, Alfredo Postiglione, Maura Marcucci, Antonio Amoroso, Sarah Damanti, Lucia Sofia, E Mannarino, Francesca Perego, Silvia Caporotundo, Giuseppe Delitala, Gaetano Serviddio, Barbara Ferrari, Lorenzo Mauro Carozza, Raffaella Salmi, Giacomo Fera, Pier Mannuccio Mannucci, Daniela Mari, Pasquale Mansueto, Carlotta Franchi, Silvia Li Bassi, Luca Santi, Michele Quero, Graziella Bruno, Elsa Sferrazzo, Martino Bellusci, Sebastiana Atzori, Mauro Maurantonio, Mauro Bernardi, Maria Sole Lilleri, Maria Loreta Di Luca, Carlo Sabbà, Luigi Cricco, Mancuso G, Alessia Valentina Giraudo, Giovanni Battista Bianchi, Valentina Grasso, Chiara Mussi, Giovanni Murialdo, Chiara Brignone, Marco Pala, Marina Magenta, Franco Dallegri, Giuseppe Montrucchio, Pamela Rondelli, Carlo L. Balduini, P. M. Mannucci, Giampiero Benetti, Fabio Fabbian, Massimo Gunelli, Fabio Pignatti, Emanuela Miceli, Tiziana Tognin, Stefania Pugliese, Franco Laghi Pasini, Francesco Salerno, Alessandra Marengoni, Rosa Scipioni, A. Nobili, Maria Antonietta Bleve, Gianluca Casella, Francesca Meda, Elisabetta Greco, Antonio Gidaro Marina Magenta, Fabio Magrini, Elena Succurro, Emanuela Rizzioli, Valeria Raparelli, Susanna Gamberini, Caterina Pirali, Ligia J. Dominguez, Stefania Basili, Matteo Pirro, Luigi Calvo, Bartolomeo Lorenzati, Ranuccio Nuti, Francesco Perticone, Claudio Ferri, Giovanbattista Rini, Christian Molino, Stefano Carta, Marta Molaro, Francesco De Stefano, Maria Teresa Laieta, Annamaria Aquilino, Sabrina Giaquinto Ospedale, Gaetano Dentamaro, Martina Ruvio, Raffaele Landolfi, Renzo Rozzini, Mauro Serra, Giovanni Davì, Carlo Selmi, Renato Fellin, G. Lupattelli, Silvia Ghidoni, Marco Vincenzo Lenti, Alberto Auteri, Alessandro Giordano, Eleonora Sparacio, Marco Falcone, Roberto Fava, Anna Laura Pasqui, Giuseppe Palasciano, Daniela Di Pinto, Gianfranco Guarnieri, Rosa Lombardi, F. Paciullo, Luigina Guasti, Sioulis Fotini, Maria Magnini, Mauro Podda, Alessandro Marseglia, Silvia Accordino, Enrico Agabiti Rosei, Caterina Capobianco, Alessio Conca, Giuseppe Paolisso, Lara Rebella, Alessandra Fantuzzi, Paolo Rossi, Andrea Semplicini, Gianluigi Vendemiale, Luisa Roncari, Antonio Grieco, Roberto Scotto, Alessandro Nobili, Valter Monzani, Eugenio Ruggeri, Stefania Bottone, Mannucci, P, Nobili, A, Tettamanti, M, Pasina, L, Franchi, C, Salerno, F, Corrao, S, Marengoni, A, Iorio, A, Marcucci, M, Sparacio, E, Alborghetti, S, Di Costanzo, R, Djade, C, Prisco, D, Silvestri, E, Cenci, C, Barnini, T, Delitala, G, Carta, S, Atzori, S, Guarnieri, G, Zanetti, M, Spalluti, A, Serra, M, Bleve, M, Vanoli, M, Grignani, G, Casella, G, Gasbarrone, L, Maniscalco, G, Gunelli, M, Tirotta, D, Brucato, A, Ghidoni, S, Di Corato, P, Bernardi, M, Li Bassi, S, Santi, L, Agnelli, G, Marchesini, E, Mannarino, E, Lupattelli, G, Rondelli, P, Paciullo, F, Fabris, F, Carlon, M, Turatto, F, Baroni, M, Zardo, M, Manfredini, R, Molino, C, Pala, M, Fabbian, F, Nuti, R, Valenti, R, Ruvio, M, Cappelli, S, Paolisso, G, Rizzo, M, Laieta, M, Salvatore, T, Sasso, F, Utili, R, Mangoni, E, Pinto, D, Olivieri, O, Stanzial, A, Fellin, R, Volpato, S, Fotini, S, Barbagallo, M, Dominguez, L, Plances, L, D'Angelo, D, Rini, G, Mansueto, P, Pepe, I, Licata, G, Calvo, L, Valenti, M, Borghi, C, Strocchi, E, Rinaldi, E, Zoli, M, Fabbri, E, Magalotti, D, Auteri, A, Pasqui, A, Puccetti, L, Pasini, F, Capecchi, P, Bicchi, M, Sabbà, C, Vella, F, Marseglia, A, Luglio, C, Palasciano, G, Modeo, M, Aquilino, A, Raffaele, P, Pugliese, S, Capobianco, C, Postiglione, A, Barbella, M, De Stefano, F, Fenoglio, L, Brignone, C, Bracco, C, Giraudo, A, Musca, G, Cuccurullo, O, Cricco, L, Fiorentini, A, Cappellini, M, Fabio, G, Seghezzi, S, De Amicis, M, Fargion, S, Bonara, P, Bulgheroni, M, Lombardi, R, Magrini, F, Massari, F, Tonella, T, Peyvandi, F, Tedeschi, A, Rossio, R, Moreo, G, Ferrari, B, Roncari, L, Monzani, V, Savojardo, V, Folli, C, Magnini, M, Mari, D, Rossi, P, Damanti, S, Prolo, S, Lilleri, M, Micale, G, Podda, M, Selmi, C, Meda, F, Accordino, S, Conca, A, Monti, V, Corazza, G, Miceli, E, Lenti, M, Padula, D, Balduini, C, Bertolino, G, Provini, S, Quaglia, F, Murialdo, G, Bovio, M, Dallegri, F, Ottonello, L, Quercioli, A, Barreca, A, Secchi, M, Ghelfi, D, Chin, W, Carassale, L, Caporotundo, S, Anastasio, L, Sofia, L, Carbone, M, Traisci, G, De Feudis, L, Di Carlo, S, Davì, G, Guagnano, M, Sestili, S, Bergami, E, Rizzioli, E, Cagnoni, C, Bertone, L, Manucra, A, Buratti, A, Tognin, T, Liberato, N, Bernasconi, G, Nardo, B, Bianchi, G, Ospedale, S, Benetti, G, Quagliolo, M, Centenaro, G, Purrello, F, Di Pino, A, Piro, S, Mancuso, G, Calipari, D, Bartone, M, Gullo, F, Cortellaro, M, Magenta, M, Perego, F, Meroni, M, Cicardi, M, Magenta, A, Sacco, A, Bonelli, A, Dentamaro, G, Rozzini, R, Falanga, L, Giordano, A, Perin, P, Lorenzati, B, Gruden, G, Bruno, G, Montrucchio, G, Greco, E, Tizzani, P, Fera, G, Di Luca, M, Renna, D, Perciccante, A, Coralli, A, Tassara, R, Melis, D, Rebella, L, Menardo, G, Bottone, S, Sferrazzo, E, Ferri, C, Striuli, R, Scipioni, R, Salmi, R, Gaudenzi, P, Gamberini, S, Ricci, F, Morabito, C, Fava, R, Semplicini, A, Gottardo, L, Vendemiale, G, Serviddio, G, Forlano, R, Bolondi, L, Rasciti, L, Serio, I, Masala, C, Mammarella, A, Raparelli, V, Fanelli, F, Delfino, M, Amoroso, A, Violi, F, Basili, S, Perri, L, Serra, P, Fontana, V, Falcone, M, Landolfi, R, Grieco, A, Gallo, A, Zuccalà, G, Franceschi, F, De Marco, G, Chiara, C, Marta, S, Bellusci, M, Setti, D, Pedrazzoli, F, Romanelli, G, Pirali, C, Amolini, C, Rosei, E, Rizzoni, D, Castoldi, L, Picardi, A, Gentilucci, U, Mazzarelli, C, Gallo, P, Guasti, L, Castiglioni, L, Maresca, A, Squizzato, A, Contini, S, Molaro, M, Annoni, G, Corsi, M, Zazzetta, S, Bertolotti, M, Mussi, C, Scotto, R, Ferri, M, Veltri, F, Arturi, F, Succurro, E, Sesti, G, Gualtieri, U, Perticone, F, Sciacqua, A, Quero, M, Bagnato, C, Loria, P, Becchi, M, Martucci, G, Fantuzzi, A, Maurantonio, M, Corinaldesi, R, De Giorgio, R, Grasso, V, Ruggeri, E, Carozza, L, Pignatti, F, Reboldi, G, Vaudo, G, Pirro, M, Pasqualini, L, Mannucci, Pier Mannuccio, Nobili, Alessandro, Tettamanti, Mauro, Pasina, Luca, Franchi, Carlotta, Salerno, Francesco, Corrao, Salvatore, Marengoni, Alessandra, Iorio, Alfonso, Marcucci, Maura, Sparacio, Eleonora, Alborghetti, Stefania, Di Costanzo, Rosa, Djade, Codjo Djignefa, Prisco, Domenico, Silvestri, Elena, Cenci, Caterina, Barnini, Tommaso, Delitala, Giuseppe, Carta, Stefano, Atzori, Sebastiana, Guarnieri, Gianfranco, Zanetti, Michela, Spalluti, Annalisa, Serra, Maria Grazia, Bleve, Maria Antonietta, Vanoli, Massimo, Grignani, Giulia, Casella, Gianluca, Gasbarrone, Laura, Maniscalco, Giorgio, Gunelli, Massimo, Tirotta, Daniela, Brucato, Antonio, Ghidoni, Silvia, Di Corato, Paola, Bernardi, Mauro, Li Bassi, Silvia, Santi, Luca, Agnelli, Giancarlo, Marchesini, Emanuela, Mannarino, Elmo, Lupattelli, Graziana, Rondelli, Pamela, Paciullo, Francesco, Fabris, Fabrizio, Carlon, Michela, Turatto, Francesca, Baroni, Maria Cristina, Zardo, Marianna, Manfredini, Roberto, Molino, Christian, Pala, Marco, Fabbian, Fabio, Nuti, Ranuccio, Valenti, Roberto, Ruvio, Martina, Cappelli, Silvia, Paolisso, Giuseppe, Rizzo, Maria Rosaria, Laieta, Maria Teresa, Salvatore, Teresa, Sasso, Ferdinando Carlo, Utili, Riccardo, Mangoni, Emanuele Durante, Pinto, Daniela, Olivieri, Oliviero, Stanzial, Anna Maria, Fellin, Renato, Volpato, Stefano, Fotini, Siouli, Barbagallo, Mario, Dominguez, Ligia, Plances, Lidia, D'Angelo, Daniela, Rini, Giovanbattista, Mansueto, Pasquale, Pepe, Ilenia, Licata, Giuseppe, Calvo, Luigi, Valenti, Maria, Borghi, Claudio, Strocchi, Enrico, Rinaldi, Elisa Rebecca, Zoli, Marco, Fabbri, Elisa, Magalotti, Donatella, Auteri, Alberto, Pasqui, Anna Laura, Puccetti, Luca, Pasini, Franco Laghi, Capecchi, Pier Leopoldo, Bicchi, Maurizio, Sabbà, Carlo, Vella, Francesco Saverio, Marseglia, Alessandro, Luglio, Chiara Valentina, Palasciano, Giuseppe, Modeo, Maria Ester, Aquilino, Annamaria, Raffaele, Pallante, Pugliese, Stefania, Capobianco, Caterina, Postiglione, Alfredo, Barbella, Maria Rosaria, De Stefano, Francesco, Fenoglio, Luigi, Brignone, Chiara, Bracco, Christian, Giraudo, Alessia, Musca, Giuseppe, Cuccurullo, Olga, Cricco, Luigi, Fiorentini, Alessandra, Cappellini, Maria Domenica, Fabio, Giovanna, Seghezzi, Sonia, De Amicis, Margherita Migone, Fargion, Silvia, Bonara, Paola, Bulgheroni, Mara, Lombardi, Rosa, Magrini, Fabio, Massari, Ferdinando, Tonella, Tatiana, Peyvandi, Flora, Tedeschi, Alberto, Rossio, Raffaella, Moreo, Guido, Ferrari, Barbara, Roncari, Luisa, Monzani, Valter, Savojardo, Valeria, Folli, Christian, Magnini, Maria, Mari, Daniela, Rossi, Paolo Dionigi, Damanti, Sarah, Prolo, Silvia, Lilleri, Maria Sole, Micale, Giuliana, Podda, Mauro, Selmi, Carlo, Meda, Francesca, Accordino, Silvia, Conca, Alessio, Monti, Valentina, Corazza, Gino Roberto, Miceli, Emanuela, Lenti, Marco Vincenzo, Padula, Donatella, Balduini, Carlo L., Bertolino, Giampiera, Provini, Stella, Quaglia, Federica, Murialdo, Giovanni, Bovio, Marta, Dallegri, Franco, Ottonello, Luciano, Quercioli, Alessandra, Barreca, Alessandra, Secchi, Maria Beatrice, Ghelfi, Davide, Chin, Wu Sheng, Carassale, Laura, Caporotundo, Silvia, Anastasio, Luigi, Sofia, Lucia, Carbone, Maria, Traisci, Giancarlo, De Feudis, Lucrezia, Di Carlo, Silvia, Davì, Giovanni, Guagnano, Maria Teresa, Sestili, Simona, Bergami, Elisabetta, Rizzioli, Emanuela, Cagnoni, Carlo, Bertone, Luca, Manucra, Antonio, Buratti, Alberto, Tognin, Tiziana, Liberato, Nicola Lucio, Bernasconi, Giordano, Nardo, Barbara, Bianchi, Giovanni Battista, Ospedale, Sabrina Giaquinto, Benetti, Giampiero, Quagliolo, Michela, Centenaro, Giuseppe Riccardo, Purrello, Francesco, Di Pino, Antonino, Piro, Salvatore, Mancuso, Gerardo, Calipari, Daniela, Bartone, Mosè, Gullo, Francesco, Cortellaro, Michele, Magenta, Marina, Perego, Francesca, Meroni, Maria Rachele, Cicardi, Marco, Magenta, Antonio Gidaro Marina, Sacco, Andrea, Bonelli, Antonio, Dentamaro, Gaetano, Rozzini, Renzo, Falanga, Lina, Giordano, Alessandro, Perin, Paolo Cavallo, Lorenzati, Bartolomeo, Gruden, Gabriella, Bruno, Graziella, Montrucchio, Giuseppe, Greco, Elisabetta, Tizzani, Pietro, Fera, Giacomo, Di Luca, Maria Loreta, Renna, Donatella, Perciccante, Antonio, Coralli, Alessia, Tassara, Rodolfo, Melis, Deborah, Rebella, Lara, Menardo, Giorgio, Bottone, Stefania, Sferrazzo, Elsa, Ferri, Claudio, Striuli, Rinaldo, Scipioni, Rosa, Salmi, Raffaella, Gaudenzi, Piergiorgio, Gamberini, Susanna, Ricci, Franco, Morabito, Cosimo, Fava, Roberto, Semplicini, Andrea, Gottardo, Lucia, Vendemiale, Gianluigi, Serviddio, Gaetano, Forlano, Roberta, Bolondi, Luigi, Rasciti, Leonardo, Serio, Ilaria, Masala, Cesare, Mammarella, Antonio, Raparelli, Valeria, Fanelli, Filippo Rossi, Delfino, Massimo, Amoroso, Antonio, Violi, Francesco, Basili, Stefania, Perri, Ludovica, Serra, Pietro, Fontana, Vincenzo, Falcone, Marco, Landolfi, Raffaele, Grieco, Antonio, Gallo, Antonella, Zuccalà, Giuseppe, Franceschi, Francesco, De Marco, Guido, Chiara, Cordischi, Marta, Sabbatini, Bellusci, Martino, Setti, Donatella, Pedrazzoli, Filippo, Romanelli, Giuseppe, Pirali, Caterina, Amolini, Claudia, Rosei, Enrico Agabiti, Rizzoni, Damiano, Castoldi, Luana, Picardi, Antonio, Gentilucci, Umberto Vespasiani, Mazzarelli, Chiara, Gallo, Paolo, Guasti, Luigina, Castiglioni, Luana, Maresca, Andrea, Squizzato, Alessandro, Contini, Sara, Molaro, Marta, Annoni, Giorgio, Corsi, Maurizio, Zazzetta, Sara, Bertolotti, Marco, Mussi, Chiara, Scotto, Roberto, Ferri, Maria Alice, Veltri, Francesca, Arturi, Franco, Succurro, Elena, Sesti, Giorgio, Gualtieri, Umberto, Perticone, Francesco, Sciacqua, Angela, Quero, Michele, Bagnato, Chiara, Loria, Paola, Becchi, Maria Angela, Martucci, Gianfranco, Fantuzzi, Alessandra, Maurantonio, Mauro, Corinaldesi, Roberto, De Giorgio, Roberto, Serra, Mauro, Grasso, Valentina, Ruggeri, Eugenio, Carozza, Lorenzo Mauro, Pignatti, Fabio, Lupattelli, G., Reboldi, G., Paciullo, F., Vaudo, G., Pirro, M., Pasqualini, L., Nobili, A., Mannucci, P. M., Mannarino, E., Mannucci, PM, REPOSI, Investigators, Barbagallo, M, and Dominguez Rodríguez, LJ
- Subjects
medicine.medical_specialty ,Chronic kidney disease ,Elderly ,Heart failure ,REPOSI ,Gerontology ,Geriatrics and Gerontology ,Humans ,Sleep Apnea Syndromes ,Noninvasive Ventilation ,Renal function ,chronic kidney disease ,elderly ,registry ,Tertiary care ,Sleep Apnea Syndrome ,Internal medicine ,Epidemiology ,medicine ,business.industry ,medicine.disease ,Heart failure, Elderly, Chronic kidney disease, REPOSI ,Icd codes ,business ,Clinical record ,Body mass index ,Kidney disease ,Human - Abstract
Background: The aim of the present study was to evaluate the association between heart failure (HF) and chronic kidney disease (CKD) in tertiary care centers using the clinical records of patients enrolled in internal medicine departments.Patients and methods: We used the clinical records of 1380 elderly patients to identify patients with a history of HF and CKD using admission ICD codes and glomerular filtration rate (GFR) formulas. Magnitude and strength of such associations were investigated by univariable and multivariable analysis.Results: Of the 1380 patients enrolled, 27.9% had HF (age 80 ± 7, BMI 27 ± 6 kg/m2) and 17.4% CKD (age 81 ± 7, BMI 26.8 ± 6 kg/m2). Both groups were significantly older (P
- Published
- 2014
31. Lipid traits and dietary quality of sea bass fillets from Orbetello
- Author
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D. Michelotti, Lucia Mannini, Francesco Sofi, Anna Maria Gori, Antonio Bonelli, Gianluca Giorgi, Bianca Maria Poli, Rosanna Abbate, and Giuliana Parisi
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chemistry.chemical_classification ,medicine.diagnostic_test ,Flesh ,Fatty acid ,Biology ,Sea bass, Lipid traits, Healthy eating quality, Intervention study ,Animal science ,Biochemistry ,chemistry ,Diet quality ,Blood biomarkers ,medicine ,Animal Science and Zoology ,lcsh:Animal culture ,Sea bass ,Lipid profile ,Fillet (mechanics) ,lcsh:SF1-1100 ,Polyunsaturated fatty acid - Abstract
The aim of the study was to investigate the possibility of obtaining: a) reliable estimates of sea bass fillet weight and lipid/fatty acid content from simple non destructive morphometric measurements; b) estimates of healthy eating quality evaluation from effects of consumption on blood biomarkers related to atherosclerotic/thrombogenic processes. A series of parameters were measured in 708 fish. Estimates of fillet weight from b.w. and max. thickness (R2=0.96, rsd=±20.55g) and of lipid content from b.w., total length, max. thickness and condition factor (R2= 0.69, rsd=±3.3g) were found to be very reliable; flesh n-3 PUFA and EPA content were also estimated from condition factor and max. girth (R2=0.32, rsd=±0.42g; R2=0.38, rsd=±0.13g). Flesh healthy eating quality was evaluated from changes in blood biomarkers (lipid profile, inflammatory markers, haemorheological profile) in dyslipidemic subjects who had eaten fillets three times a week for 10 weeks. A weekly flesh intake of 807g increased erythrocyte n-3 PUFA (P
- Published
- 2007
32. Exchanges of 'Quanta' Among Distinguishable and Indistinguishable Objects
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Antonio Bonelli and Stefano Ruffo
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Combinatorics ,Factorial ,Recursion ,Integer ,Partition (number theory) ,Statistical and Nonlinear Physics ,Condensed Matter Physics ,Mathematics - Abstract
Beginning with a physical problem of exchange of n indistinguishable "quanta" of energy in an ensemble of k oscillators we define a new wide class of combinatorial problems, which also contains statistics intermediate between Fermi–Dirac and Bose–Einstein. One such problem is related to the number theoretic problem of computing the partitions of positive integers. After establishing such a connection, we give explicit formulas for the partitions M(n,k) of an integer n into k parts with k ≤ 4. Moreover, we derive a recursion relation for fixed n and varying k which is valid for any k. A formula which relates partitions to the cardinality of the partition set taking order into account is also derived. The leading asymptotic behavior for n large is obtained for any k. A suggestive interpretation of this formulas is proposed in terms of simplicial lattices. Recursive formulas at fixed k and varying n are then written for k ≤ 5 using the concept of factorial triangle, which is amenable for generalizations to larger k's. The problem of distinct partitions is mapped onto the probability problem of ball removal with replacement, for which we give again recursive solution formulas. Finally, the method of generalized Tartaglia triangle allows the derivation of recursive formulas for limited partitions which take order into account. This latter result is related to the problem of finding the number of distinct ways of dividing n indistinguishable objects into k distinguishable groups, for which explicit summations had been previously found.
- Published
- 1997
33. Characteristics of cured lard of Cinta Senese pig fed acorn and chestnut
- Author
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Francesco Sirtori, Antonio Bonelli, Carolina Pugliese, Gustavo Campodoni, D. Meo Zilio, and L. Pianaccioli
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Cinta Senese pig ,Animal Science and Zoology ,lcsh:Animal culture ,Food science ,Biology ,Acorn ,Cinta Senese, cured lard, chestnut, acorn, panel test ,Corsican pig ,lcsh:SF1-1100 - Abstract
Cured lard is a typical Tuscan dry-cured product, generally obtained from pigs of improved breeds intensively reared. The employment of extensive system in pig rearing could represent a concrete possibility to increase the added value of lard, as well as of the other cured products. Moreover, the general belief of a greater quality of products derived from unimproved pigs, particularly when reared outdoors, has been experimentally supported particularly in Iberian (Carrapiso et al., 2003; Cava et al., 2000) and Corsican pig (Coutron-Gambotti et al., 1998).
- Published
- 2005
34. Modular Transformations, Order-Chaos Transitions and Pseudo-Random Number Generation
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Stefano Ruffo and Antonio Bonelli
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Uniform distribution (continuous) ,Conjecture ,Distribution (number theory) ,Generator (category theory) ,Prime number ,General Physics and Astronomy ,Order (ring theory) ,FOS: Physical sciences ,Statistical and Nonlinear Physics ,Unit square ,Nonlinear Sciences - Chaotic Dynamics ,Computer Science Applications ,Combinatorics ,Computational Theory and Mathematics ,Chaotic Dynamics (nlin.CD) ,Mathematical Physics ,Eigenvalues and eigenvectors ,Mathematics - Abstract
Successive pairs of pseudo-random numbers generated by standard linear congruential transformations display ordered patterns of parallel lines. We study the ``ordered'' and ``chaotic'' distribution of such pairs by solving the eigenvalue problem for two-dimensional modular transformations over integers. We conjecture that the optimal uniformity for pair distribution is obtained when the slope of linear modular eigenspaces takes the value $n_{opt} = maxint(p /\sqrt{p-1})$, where $p$ is a prime number. We then propose a new generator of pairs of independent pseudo-random numbers, which realizes an optimal uniform distribution (in the ``statistical'' sense) of points on the unit square $(0,1] \times (0,1]$. The method can be easily generalized to the generation of $k$-tuples of random numbers (with $k>2$), 13 pages, Revtex - 7 Figs - Int. J. Mod. Phys. C, in press
- Published
- 1998
35. Seasonal effect on the technological and chemical traits of sheep 'ricotta Pistoiese' cheese
- Author
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Oreste Franci, Antonio Bonelli, Anna Acciaioli, Lorenzo Giustini, and Renzo Malvezzi
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chemistry.chemical_classification ,040301 veterinary sciences ,0402 animal and dairy science ,Fatty acid ,04 agricultural and veterinary sciences ,Biology ,Seasonality ,medicine.disease ,040201 dairy & animal science ,Cattle feeding ,0403 veterinary science ,Ricotta cheese ,Protein content ,chemistry ,Ricotta cheese, Sheep, Quality, Season effect ,medicine ,Animal Science and Zoology ,Cheesemaking ,lcsh:Animal culture ,Food science ,Chemical composition ,Dairy cattle ,lcsh:SF1-1100 - Abstract
The “ricotta di pecora pistoiese” is comprised in the list of the traditional agrofood products of Tuscany and the relative PDO (Protected Designation of Origin) has be required. This research, analysing the making process, aimed to evaluate its chemical and nutritive traits as influenced by some factors, with particular attention to the season. During the four seasons of two consecutive years, the making process of ricotta cheese was monitored in four farms for a total of 32 control-days. Yields, chemical composition and fatty acid profile of fat were determined. The amount of milk added to whey influenced the fat and protein content and the yields at 0 and 24 hours. Season affected only the protein content, higher in winter and spring. Fatty acid composition was influenced strongly by the season being the ricotta cheese of summer richer of monounsaturated and polyunsaturated FA than that of autumn and winter, probably due to the feeding regimen based mainly on fresh grass.
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