What is the Truck Factor of Popular GitHub Applications? A First Assessment

Abstract The Truck Factor designates the minimal number of developers that have to be hit by a truck (or quit) before a project is incapacitated. It can be seen as a measurement of the concentration of information in individual team members. We calculate the Truc

Electrical conductivity in electrodeposited Cu-Ge(O) alloy films

Integrated circuits currently use mainly copper as the interconnect material; unfortunately the ongoing miniaturization currently requires materials with higher electromigration resistance and possibly improved conductivity. In this context we report on the structure, microstructure and electrical properties of a series of Cu-Ge(O) alloy films, electrodeposited from an alkaline tartrate electrolyte. The composition of the films varies between zero and 20 at% Ge, with a significant incorporation of oxygen. Film morphology is dense and uniform, with Cu-Ge films exhibiting smaller apparent grain size (~50 nm) with respect to Cu films grown from a similar electrolyte. Solid solutions and phase mixtures of a solid solution with the intermetallic are observed with increasing Ge fraction; the presence of intermetallic phases is confirmed by TEM imaging and diffraction. The resistivity of 50 nm thick films follows the published trend, with a slight increase of the value upon solid solution formation and a minimum in correspondence of the intermetallic composition. Thicker films (~1 um) on the other hand show a different trend, with resistivity increasing with Ge and O at%; in this case the resistivity is probably dominated by the oxygen incorporation

Defects controlling electrical and optical properties of electrodeposited Bi doped Cu2O

Doping leading to low electrical resistivity in electrodeposited thin films of Cu2O is a straightforward requirement for the construction of efficient electronic and energy devices. Here, Bi (7 at. %) doped Cu2O layers were deposited electrochemically onto Si(100) single-crystal substrates from aqueous solutions containing bismuth nitrate and cupric sulfate. X-ray photoelectron spectroscopy shows that Bi ions in a Cu2O lattice have an oxidation valence of 3þ and glancing angle X-ray diffraction measurements indicated no presence of secondary phases. The reduction in the electrical resistivity from undoped to Bi-doped Cu2O is of 4 and 2 orders of magnitude for electrical measurements at 230 and 300 K, respectively. From variations in the lattice parameter and the refractive index, the electrical resistivity decrease is addressed to an increase in the density of Cu vacancies. Density functional theory (DFT) calculations supported the experimental findings. The DFT results showed that in a 6% Bi doped Cu2O cell, the formation of Cu vacancies is more favorable than in an undoped Cu2O one. Moreover, from DFT data was observed that there is an increase (decrease) of the Cu2O band gap (activation energy) for 6% Bi doping, which is consistent with the experimental results

Electrodeposited Cu2O doped with Cl : electrical and optical properties

For understanding the electrical and optical properties of electrodeposited Cl-doped Cu2O thin films, we have studied layers with increasing thickness and Cl concentrations of 0.8 and 1.2 at. %. The deposits were characterized by measuring the charge transport, the optical reflectance, and the photoluminescence. No significant decrease of electrical resistivity was observed in doped samples compared to undoped ones. A decrease of about five orders of magnitude was measured and ascribed to the presence of pinholes, as confirmed by scanning electron microscopy analyses. From optical measurements, we concluded that the Cl atoms are incorporated into substitutional sites of Cu2O lattices in agreement with photoluminescence results showing a strong reduction in the peak intensity of VO þ2 defects in comparison to undoped layers. Computational calculation using density functional theory has pointed out high formation energy for single Cl related defects, but low formation energy for Cl-defect complexes, such as ClOþVCu, that strongly compensate the carriers generated by the Cl doping

EPSIM - An integrated sequential interindustry model for energy planning: evaluating economic, eletrical, environmental and health dimensions of new power plants

Energy is the input in which modern society depends the most for life standard maintenance besides economic and social activities, however, it is also one of the major sources of greenhouse gases (GHG) emissions, especially the electric sector, due to a world energy matrix concentrated on oil and coal resources. Hereby, impact analysis is essential for policy making focused on sustainable energy systems, once it provides ex ante evaluations for the diverse effects of new projects, being especially important in relation to large infra-structure investments as power plants. In the Brazilian case, although the current electrical matrix is primarily renewable and has low GHG intensity, the required expansion of generation capacity leads to rediscuss power plants’ alternatives and their externalities. Due to the transient and heterogeneous demand of these projects, economic, environmental, energy and social impacts must be assessed dynamically and spatially. This study proposes a social-environmental economic model, based on Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state and county levels for energy planning analysis. Integrating I-O framework with electrical and dispersion models, dose-response functions and GIS data, this model aims to expand policy makers’ scope of analysis and provide an auxiliary tool to assess energy planning scenarios in Brazil. Moreover, a case study for wind power plants in Brazil is performed to illustrate its usage

EPSIM - An integrated sequential interindustry model for energy planning: evaluating economic, eletrical, environmental and health dimensions of new power plants

Energy is the input in which modern society depends the most for life standard maintenance besides economic and social activities, however, it is also one of the major sources of greenhouse gases (GHG) emissions, especially the electric sector, due to a world energy matrix concentrated on oil and coal resources. Hereby, impact analysis is essential for policy making focused on sustainable energy systems, once it provides ex ante evaluations for the diverse effects of new projects, being especially important in relation to large infra-structure investments as power plants. In the Brazilian case, although the current electrical matrix is primarily renewable and has low GHG intensity, the required expansion of generation capacity leads to rediscuss power plants’ alternatives and their externalities. Due to the transient and heterogeneous demand of these projects, economic, environmental, energy and social impacts must be assessed dynamically and spatially. This study proposes a social-environmental economic model, based on Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state and county levels for energy planning analysis. Integrating I-O framework with electrical and dispersion models, dose-response functions and GIS data, this model aims to expand policy makers’ scope of analysis and provide an auxiliary tool to assess energy planning scenarios in Brazil. Moreover, a case study for wind power plants in Brazil is performed to illustrate its usage

EPSIM - A Social-Environmental Regional Sequential Interindustry Economic Model for Energy Planning: Evaluating the Impacts of New Power Plants in Brazil

This study proposes a social-environmental economic model, based on Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state and municipality levels for energy planning analysis. Integrating I-O framework with electrical and dispersion models, dose-response functions and GIS data, this model aims to expand policy makers’ scope of analysis and provide an auxiliary tool to assess energy planning scenarios in Brazil both dynamically and spatially. Moreover, a case study for wind power plants in Brazil is performed to illustrate its usage

EPSIM - A Social-Environmental Regional Sequential Interindustry Economic Model for Energy Planning: Evaluating the Impacts of New Power Plants in Brazil

This study proposes a social-environmental economic model, based on Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state and municipality levels for energy planning analysis. Integrating I-O framework with electrical and dispersion models, dose-response functions and GIS data, this model aims to expand policy makers’ scope of analysis and provide an auxiliary tool to assess energy planning scenarios in Brazil both dynamically and spatially. Moreover, a case study for wind power plants in Brazil is performed to illustrate its usage

Pyoderma gangrenosum associated with rheumatoid arthritis : a case report

O pioderma gangrenoso é uma dermatose inflamatória crônica, que se associa a doenças sistêmicas como a artrite reumatoide. É mais comum em adultos e pode se apresentar com quatro formas clínicas, todas levando à ulceração da pele acometida. Seu diagnóstico é clínico e de exclusão. O tratamento deve ser realizado com cuidados locais e terapia sistêmica.Pyoderma gangrenosum is a chronic inflammatory dermatosis, which is associated with non-infectious systemic diseases such as rheumatoid arthritis and inflammatory bowel disease. It is more common in adults and may present with four distinct clinical forms, all leading to ulceration of the skin affected. Its diagnosis is clinical and demands exclusion of other causes. Treatment should be performed with local care and systemic therapy