Break junctions of the heavy-fermion superconductors

Mechanical-controllable break junctions of the heavy-fermion superconductors can show Josephson-like superconducting anomalies. But a systematic study on the contact size demonstrates that these anomalies are mainly due to Maxwell's resistance being suppressed in the superconducting heavy-fermion phase. Up to day, we could not find any superconducting features by vacuum-tunnelling spectroscopy, providing further evidence for the pair-breaking effect of the heavy-fermion interfaces.Comment: 5 pages, EPS figures included, REVTeX, to be published in Physica B 9

Superconductivity in the ternary ZrVGe compound

We report bulk superconductivity in ZrVGe withTc=6K determined by magnetization, electronic transport and specific heat measurements. From the analysis of magnetization and resistivity data we obtain the thermodynamic critical fieldsμ0Hc1andμ0Hc2, respectively. The heat capacity data deviate from conventional BCS theory suggesting possible unconventional superconducting behavior

Long-range Angular Correlations On The Near And Away Side In P-pb Collisions At √snn=5.02 Tev

7191/Mar294

MicroRNA Related Polymorphisms and Breast Cancer Risk

Peer reviewe

The Green Clade grows: A phylogenetic analysis of Aplastodiscus (Anura; Hylidae)

Green tree frogs of the genus Aplastodiscus occur in the Atlantic Forest and Cerrado biomes of South America. The genus comprises 15 medium-sized species placed in three species groups diagnosed mainly by cloacal morphology. A phylogenetic analysis was conducted to: (1) test the monophyly of these species groups; (2) explore the phylogenetic relationships among putative species; and (3) investigate species boundaries. The dataset included eight mitochondrial and nuclear gene fragments for up to 6642 bp per specimen. The results strongly support the monophyly of Aplastodiscus and of the A. albofrenatus and A. perviridis groups. Aplastodiscus sibilatus is the sister taxon of all other species of Aplastodiscus, making the A. albosignatus Group non-monophyletic as currently defined. At least six unnamed species are recognized for Aplastodiscus, increasing the diversity of the genus by 40%. A fourth species group, the A. sibilatus Group is recognized. Aplastodiscus musicus is transferred from the A. albofrenatus Group to the A. albosignatus Group, and A. callipygius is considered a junior synonym of A. albosignatus. Characters related to external cloacal morphology reveal an interesting evolutionary pattern of parallelisms and reversions, suggesting an undocumented level of complexity. We analyze, in light of our phylogenetic results, the evolution of reproductive biology and chromosome morphology in Aplastodiscus.Fil: Von Muller Berneck, Bianca. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Haddad, Célio F.B.. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Lucio Lyra, Mariana. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Cruz, Carlos A.G.. Universidade Federal do Rio de Janeiro; BrasilFil: Faivovich, Julián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Biodiversidad y Biología Experimental; Argentin

Developing a management decision-making model based upon a complexity perspective with reference to the Bee Algorithm

Today's business world is characterized by a complex non-linear environment, non-hierarchical organization structures, multi-country and de-centralized operations, etc. The prominent models of decision-making that were primarily developed with the industrial economy in mind, and that viewed decision-making as a couple of linear sequential steps and "decisions given-and-decisions followed" - might not work too well. Knowledge-based economies call for developing decision-making models that represent the complexity of the present world business. Under such context, we present an alternative approach to studying management decision-making - seeking inspiration from the natural/biological systems. Bees show similar behavior in their foraging activities, as a single objective management decision-making problem. The uniqueness of the developed model lies in its ability to explain the major properties of a complex system, and the value that emergence (of a decision) brings to a company