Tokatlidis I.S.,Democritus University of Thrace |
Papadopoulos I.I.,Technological Education Institute of Central Macedonia |
Baxevanos D.,41 Palaiologou |
Koutita O.,Dep. of Plant Breeding
Crop Science | Year: 2010
Breeders ought to consider the confounding effects of the environment and genotype × environment (G × E) interaction on response to early generation selection. To meet this requirement, honeycomb breeding was performed at a low density within two dry bean populations (Phaseolus vulgaris L.) under typical open-fi eld conditions and in an adjacent greenhouse. Nineteen progeny lines were formed through selection of nine and ten of the highest-yielding plants in the greenhouse and the fi eld, respectively. Honeycomb progeny testing at the low density in the two distinct environments showed up to 75% improvement in plant-yield potential. Under farming-density conditions in fi ve environments, six of the lines outyielded the respective original population by 12 to 38% and exhibited the greatest stability according to the genotype and genotype × environment (GGE) biplot model. At low density, the greenhouse evaluation demonstrated less acquired variance than the field evaluation and was especially useful for selection and progeny evaluation. Three of the six outstanding lines originated from the greenhouse. Honeycomb progeny estimation on a single-plant yield basis in the greenhouse, rather than in the field, gave a better prediction of yield potential on an area basis. The results showed that honeycomb breeding performed in two environments to address the G × E interaction may be successful for developing varieties that exhibit both high and stable productivity. © Crop Science Society of America.
Tsanaktsidis C.G.,Technological Education Institute of Central Macedonia
Chemistry and Technology of Fuels and Oils | Year: 2011
The effect of TPA polymer (thermal polyaspartate anion) on the physical-chemical properties of diesel fuel - density, kinematic viscosity at 40 °C, moisture content, total acid number, thermal combustion, 90 vol.% distill-off temperature, and cetane number - is studied. It is shown that the moisture content and total acid number decrease considerably when TPA is introduced, while the heat of combustion and cetane number increase considerably, which improves fuel quality. © 2011 Springer Science+Business Media, Inc.
Tsakstara V.,Technological Education Institute of Central Macedonia |
Tsakstara V.,University of Ioannina
Advances in High Energy Physics | Year: 2015
At first, we evaluate scattering cross sections of low, and intermediate-energy neutrinos scattered off the 114Cd isotope, the most abundant Cd isotope present also in the COBRA detector (CdTe and CdZnTe materials) which aims to search for double beta decay events and neutrino observations at Gran Sasso laboratory (LNGS). The coherent ν-nucleus channel addressed here is the dominant reaction channel of the neutral current ν-nucleus scattering. Our ν-nucleus cross sections (calculated with a refinement of the quasiparticle random-phase approximation, QRPA) refer to the g s → g s transitions for ν-energies εν ≤ 100 MeV. Subsequently, simulated ν-signals on 114Cd isotope are derived. Towards this purpose, the required folded cross section comes out of simulation techniques by employing several low, and intermediate-energy neutrino distributions of the astrophysical ν-sources, like the solar, supernova, and Earth neutrinos, as well as the laboratory neutrinos, the reactor neutrinos, the pion-muon stopped neutrinos, and the β-beam neutrinos. © 2015 Vaitsa Tsakstara.
Kleidis K.,Technological Education Institute of Central Macedonia |
Spyrou N.K.,Aristotle University of Thessaloniki
Entropy | Year: 2016
In this article, we review a series of recent theoretical results regarding a conventional approach to the dark energy (DE) concept. This approach is distinguished among others for its simplicity and its physical relevance. By compromising General Relativity (GR) and Thermodynamics at cosmological scale, we end up with a model without DE. Instead, the Universe we are proposing is filled with a perfect fluid of self-interacting dark matter (DM), the volume elements of which perform hydrodynamic flows. To the best of our knowledge, it is the first time in a cosmological framework that the energy of the cosmic fluid internal motions is also taken into account as a source of the universal gravitational field. As we demonstrate, this form of energy may compensate for the DE needed to compromise spatial flatness, while, depending on the particular type of thermodynamic processes occurring in the interior of the DM fluid (isothermal or polytropic), the Universe depicts itself as either decelerating or accelerating (respectively). In both cases, there is no disagreement between observations and the theoretical prediction of the distant supernovae (SNe) Type Ia distribution. In fact, the cosmological model with matter content in the form of a thermodynamically-involved DM fluid not only interprets the observational data associated with the recent history of Universe expansion, but also confronts successfully with every major cosmological issue (such as the age and the coincidence problems). In this way, depending on the type of thermodynamic processes in it, such a model may serve either for a conventional DE cosmology or for a viable alternative one. © 2016 by the authors.
Panapakidis I.P.,Aristotle University of Thessaloniki |
Papadopoulos T.A.,Aristotle University of Thessaloniki |
Christoforidis G.C.,Technological Education Institute of Central Macedonia |
Papagiannis G.K.,Aristotle University of Thessaloniki
Energy and Buildings | Year: 2014
Buildings consume 40% of the total primary energy and 30% of the annual electricity, contributing significantly to greenhouse gas emissions. Naturally, therefore, building energy efficiency and notions like the nearly zero energy buildings are continuously gaining importance and popularity as means to reduce carbon emissions and the strong dependence on fossil fuels. A step towards this direction is the incorporation of smart grid technologies, mainly through the widespread of automatic meter reading and smart meters. This enables automatic collection of in depth information of the customer's behavior along with the building's performance and, thus, introduces new opportunities for energy saving and efficient management. However, the recorded amassing ream of data requires efficient processing and interpretation, so as to provide for meaningful information. In order to tackle this problem, this paper proposes a comprehensive methodology for the investigation of the electricity behavior of buildings, using clustering techniques. Utilizing a university campus as a case study, the proposed methodology is applied to the load curves of different buildings leading to the determination of an optimum clustering procedure. The methodology may be generalized for any type of building. © 2014 Elsevier B.V.