1,355,245 research outputs found
Description d’un nouveau Psélaphide aveugle de la France méridionale [Col.]
No full textDodero A. Description d’un nouveau Psélaphide aveugle de la France méridionale [Col.]. In: Bulletin de la Société entomologique de France, volume 9 (3),1904. pp. 40-42
Description d’un nouveau Psélaphide aveugle de la France méridionale [Col.]
No full textDodero A. Description d’un nouveau Psélaphide aveugle de la France méridionale [Col.]. In: Bulletin de la Société entomologique de France, volume 9 (3),1904. pp. 40-42
Cephennium catalonicum DODERO 1918
No full text<i>Cephennium catalonicum</i> DODERO, 1918 (Figs 46-47, Map 2) <p> Material examined by C. Besuchet (unpubl.): <b>SPAIN</b>: Cataluña: 1♂ [syntype], Alella, leg. Zariquiey (coll. Dodero); 1♂ [syntype], Moncada, leg. Zariquiey (MCSNG); 1♂, Barcelona, Centelles, Mas de Xaxars (coll. Binaghi); 1♂, 1♀, N Barcelona, Granollers env., La Roca, leg. Franz (NHMW); 1♂, Prov. Barcelona, Cibidalo [?], leg. Coiffait (MHNG).</p> <p>The original description is based on two males from "Alella et Moncada" (DODERO 1918). This species has been reported only from Cataluña, Northeast Spain. The aedeagus is illustrated in Figs 46-47, based on Besuchet (unpubl.).</p>Published as part of <i>Assing, Volker, 2021, On the Cephennium fauna of the Iberian Peninsula and the Atlantic Islands (Coleoptera, Staphylinidae, Scydmaeninae), pp. 891-931 in Linzer biologische Beiträge 52 (2)</i> on page 918, DOI: <a href="http://zenodo.org/record/5039032">10.5281/zenodo.5039032</a>
Group-wise functional community detection through joint Laplacian diagonalization
No full textView at Publisher| Export | Download | Add to List | More... Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 8674 LNCS, Issue PART 2, 2014, Pages 708-715 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014; Boston, MA; United States; 14 September 2014 through 18 September 2014; Code 107426 Group-wise functional community detection through joint Laplacian diagonalization (Conference Paper) Dodero, L.a, Gozzi, A.b, Liska, A.b, Murino, V.a, Sona, D.a a Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy b Center for Neuroscience and Cognitive Systems at UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy View references (20) Abstract There is a growing conviction that the understanding of the brain function can come through a deeper knowledge of the network connectivity between different brain areas. Resting state Functional Magnetic Resonance Imaging (rs-fMRI) is becoming one of the most important imaging modality widely used to understand network functionality. However, due to the variability at subject scale, mapping common networks across individuals is by now a real challenge. In this work we present a novel approach to group-wise community detection, i.e. identification of functional coherent sub-graphs across multiple subjects. This approach is based on a joint diagonalization of two or more graph Laplacians, aiming at finding a common eigenspace across individuals, over which clustering in fewer dimension can then be applied. This allows to identify common sub-networks across different graphs. We applied our method to rs-fMRI dataset of mouse brain finding most important sub-networks recently described in literature
Experiencing a parallel mathematical library on a PC network
No full textThis paper presents an experience in use of a parallel mathematical library, ScaLAPACK, on a network composed by heterogeneous workstations. The good performance results have been obtained by means of a distributed programming environment which is able to dynamically evaluate available computing power at each workstation and to distribute accordingly the set of parallel processes
Depolymerization of sodium alginate in saline solutions via ultrasonic treatments: A rheological characterization
No full textThe molecular mass of two sodium alginates with the same composition but different chain length is reduced via
a simple ultrasonic treatment and monitored by rheological measurements. The polymer molecular mass decreases
until a lower limiting value of 100 kg/mol is reached, with the degradation occurring via a mid-pointchain
kinetic consisting into the breakage of the glycosidic bonds towards the middle of the macromolecules.
The evaluation of the concentration regimes (i.e. viscosity dependence upon the polymer concentration) demonstrates
that short chains are characterized by higher critical concentrations and lower scaling factors, most
likely owing to their poor ability to form entanglements. Nevertheless, the typical behaviour of neutral polymer
in θ solvent is observed independently of the alginate molecular mass. The viscosity temperature dependence of
the investigated solutions obeys Arrhenius law in a wide temperature range. Additionally, the flow activation
energy is observed to follow a linear relationship with the polymer molecular mass with values of 26.2 kJ/mol
for the longest chains and 18.2 kJ/mol for the shortest ones. Consequently, ultrasonic treatment is here proved to
be extremely efficient to reduce the molecular mass of alginate, thus representing a fast, safe and cost-effective
approach to obtain materials with tailored properties
A Practical Approach to Efficient Use of Heterogeneous PC Network for Parallel Mathematical Computation
No full textThis paper presents an experience in use of a parallel mathematical library, ScaLAPACK, on a network composed by heterogeneous workstations. The good performance results have been obtained by means of a distributed programming environment which is able to dynamically evaluate available computing power at each workstation and to distribute accordingly the set of parallel processes
Gliadin peptide oligomers: a new scenario in gluten-related disorders
No full textDodero VI, Dörfler P. Gliadin peptide oligomers: a new scenario in gluten-related disorders. In: Journal of Peptide Science . Vol 28. Hoboken: Wiley; 2022
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