Analytical Tables of Foreign Trade: Nimexe 1990: E 44-49 Import

Figure S4. Change of T cell phenotype after electroporation, initial stimulation, and re-stimulation. (PDF 1080 kb

[1]研究活動

Protein sequences of the ABCA transporters of the eight species. (XLSX 25 kb

MODEL OF CROATIAN SEA PASSENGER PORTS MANAGEMENT RATIONALIZATION

Predmet istraživanja u ovome znanstvenom radu je razvitak pomorskoputničkih luka u Republici Hrvatskoj do 2012. godine. Za definiranje svojstava i determinanti pomorskoputničkih luka koristilo se modelom na bazi matrice rasta. Analiza i vrednovanje pojedinih elemenata modela i dobivene izravne stope rasta imale su za cilj znanstveno formulirati rezultate istraživanja, prema najvažnijim teorijskim zakonitostima razvitka pomorskoputničkih luka u Republici Hrvatskoj. Autori su se u znanstvenom istraživanju i prezentiranju rezultata istraživanja ovog rada služili kombinaciju znanstvenih metoda kao što su: metoda analize i sinteze, metoda konkretizacije, komparativna metoda i metoda modeliranja (matrica rasta). Glavna znanstvena hipoteza dokazana je izravnim stopama rasta odabranih elemenata modela a ona glasi: Znanstveno utemeljenim spoznajama o funkcioniranju i poslovanju sustava pomorskoputničkih luka moguće je predložiti model, mjere i aktivnosti za racionalno upravljanje tim lukama kako bi se osigurao rast i razvoj sustava pomorskoputničkih luka.This paper analyses the sustainable development of sea passenger ports in the Republic of Croatia until 2012. A model of growth was used in order to define the main characteristics and determinants of sea passenger ports. The purpose of the paper was to present a scientifically-based formulation of sustainable development analysis of sea passenger ports in Croatia, based on the evaluation and analysis of relevant elements and resulting direct rates. The authors in their scientific research and presentation used a various combination of scientific methods like: analysis and syntheses method, concretization method, comparative method and modeling method (growth matrix). The main scientific hypothesis is: By using scientifically based acknowledgments about functioning and management of sea passenger port system it is possible to suggest a model, measurements and activities for the rational management of sea passenger ports in Croatia in order to secure their growth and development. This scientific hypothesis was confirmed by the direct rates of growth of the model elements

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In Situ Growth of Surfactant-Free Gold Nanoparticles on Nitrogen-Doped Graphene Quantum Dots for Electrochemical Detection of Hydrogen Peroxide in Biological Environments

In this work, we report a green and simple strategy for the in situ growth of surfactant-free Au nanoparticles (Au NPs) on nitrogen-doped graphene quantum dots (Au NPs–N-GQDs). The formation of hybrid was achieved by just mixing the N-GQDs and HAuCl₄·4H₂O without addition of any other reductant and surfactant. High-resolution transmission electron microscopy (HRTEM), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS) characterizations clearly showed the formation of Au nanoparticles with predominantly exposed (111) facets which can provide more adsorption sites. Such nonsurfactant-capped Au NPs can provide naked catalytic surface with highly electrocatalytic activity. The Au NPs–N-GQDs exhibit high sensitivity and selectivity for electrochemical detection of hydrogen peroxide (H₂O₂) with a low detection limit of 0.12 μM and sensitivity of 186.22 μA/mM cm². Importantly, the Au NPs–N-GQDs-based electrochemical biosensor has shown great potential applications for detection of H₂O₂ levels in human serum samples and that released from human cervical cancer cells with satisfactory results. The present study demonstrates that such novel Au NPs–N-GQDs nanocomposite is promising for fabrication of nonenzymatic H₂O₂ biosensors

The optimal tool trajectories on the car left body.

<p>The optimal tool trajectories on the car left body.</p

The results for optimal trajectories planning of the simulation.

<p>The results for optimal trajectories planning of the simulation.</p

The optimization trajectory on the free-form surface.

<p>The optimization trajectory on the free-form surface.</p

The grids approximation of a free-form surface.

<p>The grids approximation of a free-form surface.</p

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