5,066 research outputs found

    The Localized Productive System: A Literature Review

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    The localized productive system developed (LPS) by Courlet (1994) helps circumscribe the organization that binds the enterprises together in a territory and highlight the nature of the benefits (positive externalities, reduced transaction costs, better coordination between the actors of a territory) yielded by proximity. Indeed, the LPS is far from being a concept in the true sense of the word because it is interpreted in several ways. The LPS can be attached first to a broader interpretation of the economic phenomena: either it is the new techno-organizational paradigm of reference resulting from the swing of the global mode of production or it is a component or even a transition state of the new industrial organizations that are being set up. The LPS can also be attached to a more specific interpretation referring to the history of economic development according to which any local reality would be, at some point, more or less an LPS. It is but a unit of analysis, which, as the organization, sees its theoretical foundations vary according to approaches and authors. This means that the literature only analyzes the forms of organization in local systems, without explaining their foundations nor their evolution

    Assessment of Surface Downwelling Shortwave Radiation in 2021-2050 in Laayoune − Sakia El Hamra Region, Morocco

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    Morocco's energy system is highly dependent on external energy markets. According to the Ministry Energy, Mines and Sustainable Development today more than 93 % of energy resources are imported to Morocco. In 2008 the Moroccan Government has developed a National Energy Strategy, and one of its priority areas is to increase the share of renewable technologies in the country's energy sector. Morocco is rich in solar energy resources. Studies on the assessment of the Morocco's solar energy potential indicate, among other benefits, low additional costs when using solar installations compared to losses associated with the solution of future climate problems and lack of resources. The plan envisages the commissioning of solar power plants in Ouarzazate, Ain Ben Mathar, Boujdour, Tarfaya and Laayoune by 2020.The aim of this research is determination of the characteristics of the distribution of Surface Downwelling Shortwave Radiation in the area of the solar power Boujdour, Tarfaya and Laayoune, located in the Laayoune − Sakia El Hamra region in 2021−2050. The data from regional climate modeling with high spatial resolution of the CORDEX-Africa project are used in this research. The RCM modeling is carried out for the region of Africa, in a rectangular coordinate system with a spatial resolution of ~ 44 km. Then, from the modeling data, values are highlighted for the territory of Laayoune − Sakia El Hamra region. Model calculation is performed taking into account the greenhouse gas concentration trajectory of RCP 4.5 calculated using 11 regional climate models. As a result of the simulation for the period 2021−2050, average monthly values of the Surface Downwelling Shortwave Radiation "RSDS" (W/m2) are derived, on the basis of which the mean values for the period of time are calculated. For more detailed information, average monthly total cloud cover values "TC" (%) for the period under study are calculated.Analysis of the change in RSDS in 2021–2050 relative to the recent climatic period is shown that in the Laayoune − Sakia El Hamra region we can expect an increase or retention of its values. The annual run of the RSDS has one maximum in June and one minimum in December.In the future, the distribution of RSDS in the Laayoune − Sakia El Hamra region will have a significant impact on proximity to the Atlantic Ocean, where an increased amount of total cloud cover significantly reduces the amount of incoming radiation.In the location of solar power plants in the near future, the current RSDS values are expected to be maintained, which creates favorable conditions for the further development of the renewable energy industry in this area and increasing its productivity

    Experts' Stated Behavior

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    We ask various experts, who produce sales forecasts that can differ from earlier received model-based forecasts, what they do and why they do so. A questionnaire with a range of questions was completed by no less than forty-two such experts who are located in twenty different countries. We correlate the answers to these questions with actual behavior of the experts. Our main findings are that experts have a tendency to double count and to react strongly to recent volatility in sales data. Also, experts who feel more confident give forecasts that differ most from model-based forecasts

    Spectrographic Estimation of Fe Mg Ca, Zn, Sb and Pb in Blood Serum

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    Magnetic properties of exchange biased and of unbiased oxide/permalloy thin layers: a ferromagnetic resonance and Brillouin scattering study

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    Microstrip ferromagnetic resonance and Brillouin scattering are used to provide a comparative determination of the magnetic parameters of thin permalloy layers interfaced with a non-magnetic (Al2O3) or with an antiferromagnetic oxide (NiO). It is shown that the perpendicular anisotropy is monitored by an interfacial surface energy term which is practically independent of the nature of the interface. In the investigated interval of thicknesses (5-25 nm) the saturation magnetisation does not significantly differ from the reported one in bulk permalloy. In-plane uniaxial anisotropy and exchange-bias anisotropy are also derived from this study of the dynamic magnetic excitations and compared to our independent evaluations using conventional magnetometryComment: 7 pages, 6 figures, submited to Journal of Physics: Condensed Matte

    Broad-range neutron spectra identification in ultraintense laser interactions with carbon-deuterated plasma

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    Copyright 2005 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Physics of Plasmas, 12(11), 110703, 2005 and may be found at http://dx.doi.org/10.1063/1.213184

    Acoustic analysis and Modeling of the Group and phase Velocities of an Acoustic circumferential waves by an Adaptative Neuro-Fuzzy Inference System (ANFIS)

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    In this work, an Adaptative Neuro-Fuzzy Inference System (ANFIS) is applied to predict the velocity dispersion curves of the antisymmetric (A1) circumferential waves propagating around an elastic cooper cylindrical shell of various radius ratio b/a (a: outer radius and b: inner radius) for an infinite length cylindrical shell excited perpendicularly to its axis. The group and phase velocities, are determined from the values calculated using the eigenmode theory of resonances. These data are used to train and to test the performances of these models. This technique is able to model and to predict the group and phase velocities, of the anti-symmetric circumferential waves, with a high precision, based on different estimation errors such as mean relative error (MRE), mean absolute error (MAE) and standard error (SE). A good agreement is obtained between the output values predicted using ANFIS model and those computed by the eigenmode theory. It is found that the ANFIS networks are good tools for simulation and prediction of some parameters that carry most of the information available from the response of the shell. Such parameters may be found from the velocity dispersion of the circumferential waves, since it is directly related to the geometry and to the physical properties of the target

    Visual optical biosensors based on DNA-functionalized polyacrylamide hydrogels

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    The final publication is available at Elsevier via http://dx.doi.org/10.1016/j.ymeth.2013.08.021 © 2013. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Biosensors are devices that can provide quantitative or semi-quantitative analytical information about target molecules, where molecular recognition is based on biomolecular interactions. In recent years, DNA has emerged as a useful molecule for biosensor development since DNA can not only recognize its complementary strand, but also metal ions, small molecules, proteins and cells utilizing DNA aptamer technology. Converting DNA binding events into useful biosensors often require sensor immobilization. Among the various materials for sensor immobilization, hydrogels are particularly attractive. Hydrogels are crosslinked hydrophilic polymer networks that undergo swelling in water. In a gel, DNA immobilization can take place in 3D, allowing for high DNA loading capacity. Hydrogels are transparent, offering low optical background. The gel volume is affected by many environmental parameters such as temperature, pH, ionic strength, and solvent composition. In this paper, we present a concise summary of recent developments in DNA-functionalized hydrogel biosensors for visual detection. Detailed methods for immobilizing DNA biosensors in monolithic polyacrylamide gels and gel microparticles are supplied.University of Waterloo || Natural Sciences and Engineering Research Council || Ontario Ministry of Research and Innovation || Canadian Foundation for Innovation |

    Contribution to the study of the chemical composition of Lemon Verbena: Aloysia triphylla (Hert). Britt. cultivated in Morocco

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    By combining gas chromatography and mass spectrometry we have identified the main constituents of the essential oil of verbena tea (Alyosia triphylla) grown in Morocco. Harvests carried out at different stages of development of the plant allowed to characterize the qualitative variations of the active substances of the essential oil. The comparison of our results with the data of the literature gives some details on the different chemo types and the chemical diversity of this aromatic plant with high medicinal and economic value
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