In today's world, the extensive use of Big Data emerges as a fundamental component in various sectors, and healthcare is no exception. This article explores the importance of using this data for the continuous improvement of patient care, providing them with a better quality of life. However, for this to happen, several challenges must be overcome, especially in data processing and analysis, and in this sector,...
Nowadays, food waste is seen as a complex problem with effects on the social, economic, and environmental domains. Even though this view is widely held, it is frequently believed that individual acts have little to no impact on the issue. But just like with recycling, there may be a significant impact if people start adopting more sustainable eating habits. We suggest using a cutting-edge convolutional neural n...
Introdução Ao longo dos anos, os cirurgiões por todo o mundo têm melhorado a sua técnica laparoscópica através de vários exercícios com recurso à simulação. Tanto especialistas como internos de Cirurgia Geral podem recriar cenários clínicos sem expor seres humanos aos seus riscos e, ainda, repeti-las as vezes necessárias para alcançar uma curva de aprendizagem favorável. Descrição: Os autores propõem um Pr...
This paper presents a Building Information Modelling (BIM) data conversion algorithm for radio wave propagation studies in indoor and outdoor environments. The tool presented here allows to extract the geometrical and physical information of BIM models present in IFC2×3 files. The first conversion step is done using the IFCOpenSHell library through a Python interface and the second one is done using MatLab. Fol...
This work presents a new artificial neural network (ANN) model formulation for RF high-power transistors which includes the S-parameters of the active device. This improves the small-signal extrapolation capability, and the OFF-state impedance approximation, making it suitable for Doherty power amplifier (DPA) design. This extrapolation capability plays a key role in the correct Doherty load modulation predicti...
This paper presents the development of a periodic array consisting of timber logs for electromagnetic site shielding. With this study, it is possible to understand the effects caused by wooden barriers in order to achieve a better shielding effectiveness (SE) or electromagnetic transparency at selected frequencies to control the exposure of electromagnetic radiation on the population and to reduce co-channel in...
This paper presents a Building Information Modelling (BIM) data conversion algorithm for radio wave propagation studies in indoor and outdoor environments. The tool presented here allows to extract the geometrical and physical information of BIM models present in IFC2×3 files. The first conversion step is done using the IFCOpenSHell library through a Python interface and the second one is done using MatLab. Fol...
This paper presents a framework to predict indoor radio wave coverage in buildings. Such method includes the capability to import BIM (Building Information Modelling) files that contain structured physical geometry and dimension data, including the material types that are of uttermost importance in evaluating their dielectric properties. Appropriated extraction of physical and dielectric attributes of the build...
Growth deficits of reverse genetics vaccine seeds have compromised effective immunization. The impairment has been attributed to sub-optimal protein interactions. Some level of dependence may exist between PB1 and antigenic glycoproteins, however, further research is necessary to clarify the extent to which it can be used in favor of seed production. Our objective was to establish proof of concept on the phenot...