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Analysis of the interleukin-1 and interleukin-6 polymorphisms in patients with chronic periodontitis. A pilot study

The aim of this study was to analyse whether the interleukin-1 (IL-1) and IL-6 gene polymorphisms were associated with the susceptibility of chronic periodontitis. Genomic DNA was obtained from 20 patients with chronic periodontitis and 31 periodontally healthy subjects. All subjects were of North European heritage. The test subjects were kept in a maintenance program after periodontal treatment b

Carbon balances and biofuel production under land use change

The increasing demand for solid biofuels, such as primary forest fuels, has highlighted the importance to consider that they, in contrast to fossil fuels are produced in dynamic ecosystems. Environmental effects of changes in ecosystem management policies, positive and negative, are not obvious. To that end, calculations of carbon budgets in single forest stands show that the carbon balance dramat

Measured CMOS Reconfigurable Matching Network and its Switched High Quality Capacitor Building Blocks

Switched capacitors are here investigated for use in reconfigurable matching networks, particularly for DVB-H frequencies. A $0.13$ $mu$m CMOS circuit is evaluated through both simulations and measurements. Source grounded NMOS transistors are used to switch high quality metal capacitors located above metal layer 8. The quality factor and tuning range depend on frequency, switch voltage, capacitor

Organising grassroots initiatives for a more inclusive governance : Constructing the city from below

The project examines how grassroots organizations and networks providing urban critical services in informal settlements contribute to improve the quality of life of urban dwellers and to more inclusive forms of urban governance, constructing the city from below.The project is informed by the study of Kisumu’s informal settlements’ Resident Associations, the Water Delegated Management Model, and t

An exploration of digital CNN implementations

Computationally hard problems, such as operations on n-dimensional maps, are in need of efficient solutions. Cellular Neural Networks have this promise. This paper explores digital realizations of such computational paradigms through the case of real-time image processing. It is shown that a behaviour-based spatial unrolling of the time-critical numerical convergence loop outperforms a classical f