Preprints (not yet peer-reviewed)

38 downloads
78 views

In a digital world in the making, digital natives develop new learning profiles, interests, and way of working. Simultaneously teachers are facing students with lack of engagement and motivation with quite traditional learning process that has probably to be reframed...

["Computer Education","Databases","Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.27247v1
30 downloads
78 views

DataBases (DB) are a widespread source of data, useful for many applications in different scientific fields. The present contribution describes an automatic procedure to access, download and store open access data from different sources, to be processed in a GIS...

["Data Science","Databases","Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.27227v1
235 downloads
622 views

Statistical books are an opportunity for accessing relatively deeper insights into statistics and software even outside the introductory classroom setting. There are however many resources available to the practitioner in addition to the traditional text model....

["Bioinformatics","Computer Education","Data Science","Programming Languages"]
doi:10.7287/peerj.preprints.26924v1
162 downloads
271 views

IRT models are often applied when observed items are used to measure a unidimensional latent variable. Originally used in educational research, IRT models are now widely used when focus is on physical functioning or psychological well-being. Modern applications...

["Data Science","Graphics","Programming Languages"]
doi:10.7287/peerj.preprints.26740v1
140 downloads
239 views

Configuration files are widely used by scientists and researchers to configure the parameters and initial settings for their computer programs. We present here a Python package that adds physical quantities to these parameters and validate them against user defined...

["Scientific Computing and Simulation","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.3418v1
238 downloads
681 views

Two complementary GIS-based functions are designed and implemented to assess the expected degree of loss due to the occurrence of flood events. Each function processes institutional thematic layers and allows decision makers first to quantify the physical and the...

["Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.2228v2
19,508 downloads
4,389 views

At Airbnb, R has been amongst the most popular tools for doing data science in many different contexts, including generating product insights, interpreting experiments, and building predictive models. In a recent survey of the Airbnb team, 73% of Data Scientists...

["Data Science","Programming Languages"]
doi:10.7287/peerj.preprints.3182v1
86 downloads
279 views

Distributed open source software development has largely turned to GitHub, a pull-based software development collaboration platform. Recent studies have deployed data science techniques on the large datasets available about millions of projects on GitHub. Some...

["Human-Computer Interaction","Social Computing","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2989v1
146 downloads
849 views

How often do JavaScript programmers embed structured languages into strings literals? We conduct an empirical investigating mining nearly 500 thousand JavaScript source files from almost ten thousand repositories from GitHub. We parsed each string literal with...

["Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2723v1
342 downloads
527 views

Collections of historical images are currently being scanned to stop their degradation and to enable a numeric exploitation. These collections have a high cultural, artistic and scientific value. However, they are not fully exploited because the photographs do...

["Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.2243v2
330 downloads
720 views

Remote sensing techniques provide a new way to obtain hydrological variables (i.e. rainfall and soil moisture), mainly in poorly instrumented areas that are fundamental for natural hazard assessment and mitigation. The ever increasing availability of satellite...

["Data Science","Scientific Computing and Simulation","Programming Languages"]
doi:10.7287/peerj.preprints.2131v4
283 downloads
372 views

GIS technology has been used for many years in environmental risk analysis due to its capability to focus on the management and analysis of geographic and alphanumeric data to support spatial decision-making (Vairavamoorthy et al, 2007). Especially in emergency...

["Spatial and Geographic Information Systems","Programming Languages"]
doi:10.7287/peerj.preprints.2235v2
66,082 downloads
115,755 views

Biases against women in the workplace have been documented in a variety of studies. This paper presents the largest study to date on gender bias, where we compare acceptance rates of contributions from men versus women in an open source software community. Surprisingly,...

["Human-Computer Interaction","Social Computing","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.1733v2
149 downloads
788 views

Background: Modern software development teams are distributed across onsite and off-shore locations. Each team has developers with varying experience levels and English communication skills. In such a diverse development environment it is important to maintain...

["Computer Architecture","Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2163v1
147 downloads
488 views

Software development processes are collaborative in nature. Neglecting the key role of end-users leads to software unlikely to satisfy their needs. This collaboration becomes specially important when creating Domain-Specific Modeling Languages (DSMLs), which are...

["Programming Languages","Software Engineering"]
doi:10.7287/peerj.preprints.2046v1
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