1,354,433 research outputs found
A new species and new records of terrestrial isopods from Sicily (Isopoda: Oniscidea)
No full textFigure 5. Trichoniscus panormidensis sp. nov. (male, paratype from Mount San Giuliano, Erice). (A) Pleopod 1 and genital papilla; (B) pleopod 2.Published as part of Montesanto, Giuseppe, Caruso, Domenico & Lombardo, Bianca Maria, 2011, A new species and new records of terrestrial isopods from Sicily (Isopoda: Oniscidea), pp. 1925-1935 in Journal of Natural History 45 (31-32) on page 1932, DOI: 10.1080/00222933.2011.573099, http://zenodo.org/record/520406
Una piazza-scavo e una torre-belvedere per Montesanto
No full textIl progetto è stato elaborato nell'ambito del 3° Seminario Internazionale di Progettazione "Napoli, Architettura e Città". Per il ridisegno del piano inclinato di Montesanto si è proposta la realizzazione di una piazza scavata nel banco di tufo, accessibile dalla quota del C.so V. Emanuele, e di una torre belvedere che ospita un sistema di risalita dalla parte bassa della citta
New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) from Brazil
No full textA large collection of terrestrial isopods from different Brazilian regions was examined. Two new species of Amazoniscus Lemos de Castro, 1967 (Scleropactidae) are described: A. zimmeri Campos-Filho, Montesanto & Araujo sp. nov. from the state of Pará and A. schmidti Campos-Filho, Montesanto & Taiti sp. nov. from the state of Minas Gerais. Pseudotyphloscia alba (Dollfus, 1898) (Philosciidae) is firstly recorded from Brazil. The systematic position of Venezillo tuberosus (Budde-Lund, 1904) is discussed and transferred to Ctenorillo Verhoeff, 1942. Androdeloscia lejeunei (Lemos de Castro & Souza, 1986) and Diploexochus echinatus Brandt, 1833 from the state of Pará, are redescribed
Diversity of terrestrial isopods in a protected area characterized by salty coastal ponds (Vendicari, Sicily)
No full textMessina, Giuseppina, Montesanto, Giuseppe, Pezzino, Elisa, Caruso, Domenico, Lombardo, Bianca M. (2011): Diversity of terrestrial isopods in a protected area characterized by salty coastal ponds (Vendicari, Sicily). Journal of Natural History 45 (35-36): 2145-2158, DOI: 10.1080/00222933.2011.587899, URL: http://dx.doi.org/10.1080/00222933.2011.58789
Presence of a stridulatory apparatus in the manca stages of isopods (Crustacea, Isopoda, Oniscidea)
No full textArmadillo officinalis Duméril, 1816 (Armadillidae) is a widespread terrestrial isopod species in the Mediterranean basin and on the western coasts of the Black Sea. The species is adapted to live in xeric environments and has mainly nocturnal habits. This species is capable of producing stridulations, which is nowadays recognized as a synapomorphy of the genus. In both sexes, these vibrations are produced by a line of scales on the propodus of pereopod 4 and 5. The main goals of this study are: to describe the manca stages of Armadillo officinalis; to detect the presence of the stridulatory apparatus in the manca stages; to evaluate the differences of such apparatus in the various manca stages. The manca stages (I, II, III) of Armadillo officinalis are described for the first time showing: i, the shortest duration (known in literature) of the manca stage I (approximately 30 minutes); ii, the presence of a rudimental stridulatory organ that may be of great importance in terms of evolutionary aspects and adaptation to terrestrial life. Notes on the reproductive biology are also reported. Furthermore, some considerations on future perspectives for A. officinalis as a model species in biotremology are also discussed
Drawing setae: a GNU way for digital scientific illustrations
No full textIn a recent paper (2015) I proposed a method to draw accurate line drawings for taxonomic studies, using taxa from Oniscidea. To complement that work, this short communication proposes a free-hand way to quickly draw areas with small setae or hairs, such as in penicils of mouth parts. This method enhances the previous drawing procedure, it takes a brief practice time, and allows a better quality of scientific illustrations
A fast GNU method to draw accurate scientific illustrations for taxonomy
No full textVolume: 515Start Page: 191End Page: 20
Bayesian Conditioning for estimating the relative degrees of Reliability in a group of Neural Networks engaged at Iris Biometric Identification
No full textThe main problem with iris biometric identification systems is the presence of noises in the image of the eye (eyelid, eyelashes, etc...). To remove it many authors apply appropriate preprocessing to the image, but unfortunately this yields losses of information. Our work aims at correctly recognizing the subject also in presence of high rates of noise. The basic idea is that of partitioning the image of iris into 8 not-interleaved segments of the same size. Each segment is given to an LVQ network which generates prototypes with a high resistance to noise. Notwithstanding this, the 8 LVQ nets may still disagree in identifying the subject. In this paper we apply a method developed by the “belief revision” community to identify conflicts and rearrange the degrees of reliability of each expert (the LVQ nets) through a Bayesian algorithm. This estimated ranking of reliability is useful to take the final decision. Our work has produced an interesting 84 % of positive identificat..
Nota di dono di Giuseppe Montesanto
No full text"Ex munere Josephi Montesanto med. et philos. Doct. 1801"
Nota di possesso
Nota di dono
Giuseppe Montesanto (1779-1839) professore a Padova e storico della scuola medica, membro dell\u27Accademia di scienze, lettere ed arti di Padova
catalogo in linea:https://galileodiscovery.unipd.it/discovery/fulldisplay?context=L&vid=39UPD_INST:VU1&search_scope=MyInst_and_CI&tab=Everything&docid=alma99000395926020604
Conflict Detection and Bayesian Conditioning for Estimating the Reliability of Each LVQ Network in a Group Engaged at Iris Biometric Identification
No full textThe main problem with iris biometric identification systems is the presence of noises in the image of the eye (eyelid, eyelashes, etc...). To remove it many authors apply appropriate preprocessing to the image, but unfortunately this yields losses of information. Our work aims at correctly recognizing the subject also in presence of high rates of noise. The basic idea is that of partitioning the image of iris into 8 not-interleaved segments of the same size. Each segment is given to an LVQ network which generates prototypes with a high resistance to noise. Notwithstanding this, the 8 LVQ nets may still disagree in identifying the subject. In this paper we apply a method developed by the "belief revision" community to identify conflicts and rearrange the degrees of reliability of each expert (the LVQ nets) through a Bayesian algorithm. This estimated ranking of reliability is useful to take the final decision
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