1,721,071 research outputs found
Assay for the identification and quantification of clamydia pneumonia in atherosclerotic plaques by lightcycler real-time pcr
No full textLow-cost sensor for particulate matter concentration: an evaluation of its measurement performance in the field by direct comparison with a calibrated reference system
No full textEffects of Climatic Conditions on Performance of Innovative Prefabricated Movable Buildings for Smart/Co-Working in Small Villages of Southern Italy
No full textSmart/co-working spaces are growing significantly, involving 16 million workers. Many small villages, representing 11 million citizens, are facing depopulation, job opportunities scarcity and services lack. Using prefabricated movable buildings (PMBs) could represent an opportunity to create smart/co-working spaces in a regenerative contest, allowing to save energy, CO2 emissions, and costs, as well as enhance worker’s perception of surroundings, and support the rebirth of small villages with high regenerative potential. In this paper, the performance of an innovative PMB for smart/co-working have been analyzed in 5 small villages of the Campania region (southern Italy) via the software TRNSYS. The PMB accommodates up to six workers and is equipped with smart windows and roof-mounted photovoltaic panels. The produced electricity can be stored in a battery and/or used to operate an electric reversing heat pump (EHP) for heating/cooling purposes. Its dynamic performance have been compared with a conventional PMB, highlighting that the utilization of smart windows reduces the cooling demand (at least by 47.77%) and the EHP electric consumption (at least by 41.26%); the integration of both photovoltaic panels and battery allows to fully cover the energy needs (so that the PMB is totally energy independent thanks to renewable sources)
Impact of seasonal thermal energy storage design on the dynamic performance of a solar heating system serving a small-scale Italian district composed of residential and school buildings
No full textA centralized solar hybrid heating system serving a small-scale district composed of 6 typical Italian residential buildings and 3 schools located in Naples (southern Italy) has been modelled, simulated and analysed by means of the dynamic software TRNSYS over a 5-year period. The plant is based on the operation of solar thermal collectors connected to a seasonal double U-pipe vertical Borehole Thermal Energy Storage (BTES) in order to address the seasonal misalignment between solar energy supply and thermal energy demand for heating purposes. In this paper a parametric analysis has been performed in order to investigate the performance of the district heating network upon varying the characteristics of the BTES in terms of: (i) thermal conductivity of soil, (ii) thermal conductivity of grout, (iii) U-pipe spacing, (iv) heat carrier fluid, (v) number of Borehole Heat Exchangers (BHEs), as well as (vi) type of BHEs connection (series, parallel or mixed). The primary energy consumption, the equivalent carbon dioxide emissions and the operating costs of the proposed district heating plant have been evaluated based on the simulation results upon varying the plant configurations and then compared with those associated to a conventional Italian decentralized heating system assumed as reference with the main aims of (i) assessing the potential reduction of primary energy consumption, global CO2 equivalent emissions and operating costs, (ii) exploring the influence of BTES characteristics on the overall system performance as well as (iii) establishing some simple rules for the initial design of BTES
Low prevalence of antibodies against heat shock protein 10 of Chlamydophila pneumoniae in patients with coronary heart disease
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Evaluation and optimization of ELISA for detection of anti-Chlamydophila pneumoniae IgG and IgA in patients with coronary heart diseases
No full textEvaluation and optimization of anti-Chlamydophila pneumoniae IgG and IgA commercial ELISA assays in patients with coronary heart diseases
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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