1,020 research outputs found

    The Geography of Financial Technology (FinTech) Companies in the New York Metropolitan Area

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    The Financial Technology (FinTech) industry uses technology to provide financial services more innovatively and competitively than traditional banks. A survey was conducted collecting original data of NY metropolitan area FinTech firms. Findings include a start-up heavy industry stemming from the 2008 financial crisis, prioritizing locational access to clients and funding

    Performing in the Lap and at the Feet of God: Ramleela in Trinidad, 2006–2008

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    The island of Trinidad is home to one of the world’s largest annual performances of the Hindu epic drama known locally as Ramleela. Far away from their ancestral homeland, Indo-Trinidadians perform their own identities as a Caribbean people in a drama of exile that hauntingly replicates their diasporic experience

    KπK \to \pi semileptonic form factors with Nf=2+1+1N_f=2+1+1 Twisted Mass fermions

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    We present a lattice QCD determination of the vector and scalar form factors of the semileptonic KπνK \to \pi \ell \nu decay which are relevant for the extraction of the CKM matrix element Vus|V_{us}| from experimental data. Our results are based on the gauge configurations produced by the European Twisted Mass Collaboration with Nf=2+1+1N_f = 2+1+1 dynamical fermions, which include in the sea, besides two light mass degenerate quarks, also the strange and the charm quarks. We use data simulated at three different values of the lattice spacing and with pion masses as small as 210210 MeV. Our final result for the vector form factor at zero momentum transfer is f+(0)=0.9709(46)f_+(0) = 0.9709 (46), where the uncertainty is both statistical and systematic combined in quadrature. Using the latest experimental value of f+(0)Vusf_+(0) |V_{us}| from K3K_{\ell 3} decays, we obtain Vus=0.2230(11)|V_{us}| = 0.2230 (11), which allows to test the unitarity constraint of the Standard Model below the permille level once the determination of Vud|V_{ud}| from superallowed nuclear β\beta decays is adopted. A slight tension with unitarity at the level of 2\sim 2 standard deviations is observed. Moreover we present our results for the semileptonic scalar f0(q2)f_0(q^2) and vector f+(q2)f_+(q^2) form factors in the whole range of values of the squared four-momentum transfer q2q^2 measured in K3K_{\ell 3} decays, obtaining a very good agreement with the momentum dependence of the experimental data. We provide a set of synthetic data points representing our results for the vector and scalar form factors at the physical point for several selected values of q2q^2.Comment: 37 pages, 5 tables, 9 figures; version to appear in PR

    Genetic parameters for milk somatic cell score and relationships with production traits in primiparous dairy sheep

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    A total of 13,066 first-lactation test-day records of 2,277 Valle del Belice ewes from 17 flocks were used to estimate genetic parameters for somatic cell scores (SCS) and milk production traits, using a repeatability test-day animal model. Heritability estimates were low and ranged from 0.09 to 0.14 for milk, fat, and protein yields, and contents. For SCS, the heritability of 0.14 was relatively high. The repeatabilities were moderate and ranged from 0.29 to 0.47 for milk production traits. The repeatability for SCS was 0.36. Flock-test-day explained a large proportion of the variation for milk production traits, but it did not have a big effect on SCS. The genetic correlations of fat and protein yields with fat and protein percentages were positive and high,indicating a strong association between these traits. The genetic correlations of milk production traits with SCS were positive and ranged from 0.16 to 0.31. The results showed that SCS is a heritable trait in Valle del Belice sheep and that single-trait selection for increased milk production will also increase SCS

    Protein adsorption onto Fe3O4 nanoparticles with opposite surface charge and its impact on cell uptake

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    Nanoparticles (NPs) engineered for biomedical applications are meant to be in contact with protein-rich physiological fluids. These proteins are usually adsorbed onto the NP surface, forming a swaddling layer called protein corona that influences cell internalization. We present a study on protein adsorption onto different magnetic NPs (MNPs) when immersed in cell culture medium, and how these changes affect the cellular uptake. Two colloids with magnetite cores of 25 nm, same hydrodynamic size and opposite surface charge were in situ coated with (a) positive polyethyleneimine (PEI-MNPs) and (b) negative poly(acrylic acid) (PAA-MNPs). After few minutes of incubation in cell culture medium the wrapping of the MNPs by protein adsorption resulted in a 5-fold size increase. After 24 h of incubation large MNP-protein aggregates with hydrodynamic sizes 1500 to 3000 nm (PAA-MNPs and PEI-MNPs respectively) were observed. Each cluster contained an estimated number of magnetic cores between 450 and 1000, indicating the formation of large aggregates with a "plum pudding" structure of MNPs embedded into a protein network of negative surface charge irrespective of the MNP_core charge. We demonstrated that PEI-MNPs are incorporated in much larger amounts than the PAA-MNPs units. Quantitative analysis showed that SH-SY5Y cells can incorporate 100 per cent of the added PEI-MNPs up to about 100 pg per cell, whereas for PAA-MNPs the uptake was less than 50 percent. The final cellular distribution showed also notable differences regarding partial attachment to the cell membrane. These results highlight the need to characterize the final properties of MNPs after protein adsorption in biological media, and demonstrate the impact of these properties on the internalization mechanisms in neural cells.Comment: 32 pages, 10 figure

    A database model for the analysis and assessment of historic timber roof structures

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    Visual inspection assisted by well-structured forms allows experts to collect homogeneous data in order to report about typical damage/vulnerabilities of structures. This is the basis for deriving vulnerability factors to predict failure mechanisms and identify urgent interventions. A database model with an associated structured form for the assessment of historic timber roof structures has been developed during a two-week Short Term Scientific Mission (STSM) in May 2015 at CNR IVALSA Institute in San Michele All’Adige (Italy). The aim is to assist during inspection in recording all the necessary information and later in analysing data from several inspections, allowing to identify typical damage and its causes. The database model, starting from the work of COST Action FP 1101 and further developed and digitalised during the STSM, has been initially populated with data previously collected by the University of Strathclyde through visual assessment of 29 historic timber roofs in Scotland
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