Way For Platforms Research Articles

Seeking the support of the silent majority: are lurking users valuable to UGC platforms?

In user-generated content (UGC) platforms, content generators (i.e., posters) account for only a minority of users. The majority of users lurk, participating in information diffusion only and making no direct contributions to the platforms (i.e., diffusers). In this paper, we study diffusers’ reposting behavior in a UGC platform and compare it with that of posters. We find that diffusers generally behave similarly to posters in reposting. Both groups repost more when seeing more posts and encountering popular posts. Interestingly, their reposting behavior diverges under information redundancy, i.e., when more popular posts are seen in a dense network. Under this condition, diffusers show a much higher propensity to repost, which is (partially) driven by their lesser need for uniqueness (NFU). Overall, this study suggests an exquisite way for platforms to activate their lurking users and it sheds light on their value in generating word-of-mouth and in facilitating information diffusion. It also provides useful guidelines for firms to approach the right type of lurking users (i.e., diffusers in a dense network) by using the right method of stimulation (i.e., offering popular albeit redundant information) during product diffusion online.

Seeking the Support of the Silent Majority: Are Lurkers Valuable to the UGC Platform?

In user-generated content (UGC) platforms, content generators (i.e., posters) account for only a minority of users. The majority of users lurk, participating in information diffusion only (i.e., diffusers) and making no direct contributions to the platforms. In this paper, we study diffusers’ reposting behavior in a UGC platform and compare it with that of posters. We find that diffusers generally behave similarly to posters in reposting. Both groups repost more when seeing more posts and encountering popular posts. Interestingly, their reposting behavior diverges under information redundancy, i.e., when more popular posts are seen in a dense network. Under this condition, diffusers show a much higher propensity to repost, which is (partially) driven by their less need for uniqueness (NFU). Overall, this study suggests an exquisite way for platforms to activate their lurking users and it sheds light on their value in generating word-of-mouth and in facilitating information diffusion. It also provides useful guidelines for firms to approach the right type of lurking users (i.e., diffusers in a dense network) by using the right method of stimulation (i.e., offering popular albeit redundant information) during product diffusion online.

The PV-Hydrogen MYRTE Platform - PV Output Power Fluctuations Smoothing

The MYRTE platform consists of a photovoltaic array, a fuel cells, an electrolyzer, tanks (H2, O2 and H2O), a thermal management system and electricity converters associated to various sub-systems. The aim of this platform is to study how hydrogen could be a good solution for storage energy associated to intermittent renewable energy sources systems, like photovoltaic plant, for electrical grid application, in an island context.This article describes the platform's way of operating and specifically the photovoltaic output power fluctuations smoothing, with the trapezoid profile shape, using storage methodology and his association with solar forecasting. The used approach is consistent with the specifications of the invitation to tender of the French Energy Regulation Commission, in September, 2011. Note that during the simulations, we have firstly used measured and not predicted meteorological data, and at this end of this paper the first estimation with our solar forecasting methodology.The main result shown in this paper is that the platform is compatible with this operational mode based on the power fluctuations smoothing. However, to minimize the use of hydrogen stored it is necessary that the supply of the trapezoid profile comes from the PV production rather than the fuel cells. A minimum part of 76% seems necessary

Methodology for establishing the degree of naturalness of forest stands

Forest stands naturalness degree represents the real tree species composition comparison with the tree species on natural vegetation level – It means forest typology units. The natural tree species composition is derived from Typological System of UHUL (Forest Management Institute). The degree of naturalness of forests is one of the attributes for the assessment of the ecological stability of forests, whilst the broader basis for analysis of sustainable development of the territory.The real tree species composition comes from the forest management planes database and the natural potential vegetation one from typological sites units (forest site complex). Forests types complex is a higher unit of this system hierarchy. The solution based on comparison of the real species composition with natural potential vegetation, e.g. forest stands naturalness degree, is to be used in the ecosystem platform way. The preparation of entry data, e.g. allocation of structured stand type code to the real and natural species composition precedes the analysis itself. Then follows the tree species index calculation which means the final sum of tree index present and any absent species. This index presents the difference between the real tree condition and the model one. It is used entirely original concept algorithm of structured stand types.This algorithm allows for the application computer technology and process so the range from forest stand group of up to the large territory (CZ).The naturalness degree classification is defined on 0–6 levels, from zero degree for introduced species, 3rd degree for cultural forests, to 6th degree for those with natural tree composition. The limited criterion is the stand naturalness degree which should be on 4th level and above. This method is for 15 years of application not only in the works of forestry sites typology completely worked.

PV output power fluctuations smoothing: The MYRTE platform experience

The MYRTE platform is one of the PEPITE project applications included in the PAN-H program of the French Research National Agency, under the reference ANR-07-PANH-012. This platform consists of a photovoltaic array, a fuel cell, an electrolyzer, tanks (H2, O2 and H2O), a thermal management system and electricity converters associated to various sub-systems.This article describes the platform's way of operating and specifically the photovoltaic output power fluctuations smoothing, with the trapezoid profile shape, using storage methodology. The used approach is consistent with the specifications of the call for tender of the French Energy Regulation Commission, in September, 2011. Note that during the simulations, we have used measured and not predicted meteorological data.The main result shown in this paper is that the platform is compatible with this operational mode based on the power fluctuations smoothing. However, to minimize the use of gas tanks, the power supply of trapezoid profile should come from the PV production rather than the fuels cells. A minimum part of 76% seems necessary to assure the smoothing all year round and to have an identical reservoirs state at the beginning and at the end of the year.

Proteomics: an holistic analysis of nature's proteins.

Proteomics has matured to a technology platform way beyond two-dimensional gel electrophoresis, delivering on its promise to identify structure, function and cellular localization of all proteins expressed in a cell at a given time. Major achievements in the past year include mapping the proteome of human and microbial cells, improvements in two-dimensional gel electrophoresis and mass spectrometric analysis, and the development of protein arrays and biochips.