Credit unions are growing microfinance institutions that base their lending decisions on the judgment of their credit analysts. Therefore, the purpose of this paper is to design 6 profit scoring models, capable of predicting ...

Shadow information technology (SIT) revolves around systems that are hidden but are still managed by the same business entities. It consists of the use of devices, software, systems and applications without the information ...

The prediction of host human miRNA binding to the SARS-COV-2-CoV-2 RNA sequence is of particular interest. This biological process could lead to virus repression, serve as biomarkers for diagnosis, or as potential treatments ...

This research investigated the role of knowledge complexity and the individual, organisational, and technological determinants in telecommuting in an emerging economy. A sample of 452 Brazilian workers was surveyed, and ...

The introduction of Augmented Reality (AR) has attracted several developments, although the people’s experience of AR has not been clearly studied or contrasted with the human experience in 2D and 3D environments. Here, ...

A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset ...

Movement is fundamental to life, shaping population dynamics, biodiversity patterns, and ecosystem structure. In 2008, the movement ecology framework (MEF Nathan et al. in PNAS 105(49):19052–19059, 2008) introduced an ...

The purpose of this research is to describe the research profile of university professors in Ecuador, considering their research output, individual factors (academic qualification level and period of time at the institution) ...

Garbage collection is a responsibility faced by all cities and, if not properly carried out, can generate greater costs or sanitary problems. Considering the sanitary situation due to the COVID-19 pandemic, it is necessary ...

Global targets to reduce salt intake have been proposed, but their monitoring is challenged by the lack of population-based data on salt consumption. We developed a machine learning (ML) model to predict salt consumption ...