Optimizing Antenna Positioning for Enhanced Wireless Coverage: A Genetic Algorithm Approach.

The precise placement of antennas is essential to ensure effective coverage, service quality, and network capacity in wireless communications, particularly given the exponential growth of mobile connectivity. The antenna positioning problem (APP) has evolved from theoretical approaches to practical solutions employing advanced algorithms, such as evolutionary algorithms. This study focuses on developing innovative web tools harnessing genetic algorithms to optimize antenna positioning, starting from propagation loss calculations. To achieve this, seven empirical models were reviewed and integrated into an antenna positioning web tool. Results demonstrate that, with minimal configuration and careful model selection, a detailed analysis of antenna positioning in any area is feasible. The tool was developed using Java 17 and TypeScript 5.1.6, utilizing the JMetal framework to apply genetic algorithms, and features a React-based web interface facilitating application integration. For future research, consideration is given to implementing a server capable of analyzing the environment based on specific area selection, thereby enhancing the precision and objectivity of antenna positioning analysis.

Accelerated Ray Launching Method for Efficient Field Coverage Studies in Wide Urban Areas.

The implementation of a fast and efficient computer tool for field coverage studies in urban mobile radio systems is presented in this work. An accelerated and tailored ray launching method takes advantage of a ray tracing programmable framework optimized for massively parallel processing on GPUs. The PlotOptiX API is used to customize the code before applying the electromagnetic equations. The proposed code is described, and results are shown to demonstrate its correct operation. A high number of diffractions and reflections can be tracked in each ray from the transmitter to the receiver. In addition to the typical point-to-point simulation, measurement planes can also be set as receivers to provide fast predictions in wide urban areas.

Automatic 3D Building Reconstruction from OpenStreetMap and LiDAR Using Convolutional Neural Networks.

This paper presents the implementation of an automatic method for the reconstruction of 3D building maps. The core innovation of the proposed method is the supplementation of OpenStreetMap data with LiDAR data to reconstruct 3D urban environments automatically. The only input of the method is the area that needs to be reconstructed, defined by the enclosing points in terms of the latitude and longitude. First, area data are requested in OpenStreetMap format. However, there are certain buildings and geometries that are not fully received in OpenStreetMap files, such as information on roof types or the heights of buildings. To complete the information that is missing in the OpenStreetMap data, LiDAR data are read directly and analyzed using a convolutional neural network. The proposed approach shows that a model can be obtained with only a few samples of roof images from an urban area in Spain, and is capable of inferring roofs in other urban areas of Spain as well as other countries that were not used to train the model. The results allow us to identify a mean of 75.57% for height data and a mean of 38.81% for roof data. The finally inferred data are added to the 3D urban model, resulting in detailed and accurate 3D building maps. This work shows that the neural network is able to detect buildings that are not present in OpenStreetMap for which in LiDAR data are available. In future work, it would be interesting to compare the results of the proposed method with other approaches for generating 3D models from OSM and LiDAR data, such as point cloud segmentation or voxel-based approaches. Another area for future research could be the use of data augmentation techniques to increase the size and robustness of the training dataset.

Education and information needs for physicians about rare diseases in Spain.

BACKGROUND: Rare diseases are a priority objective for public health systems. Given its complexity, late and misdiagnoses occur very often which causes mental and physical burden for patients and family. This would be caused, in part, for unprepared clinicians in this field. The aim of this study was to report the training needs and the perceived shortcomings of Spanish physicians of the public health system in the diagnosis, treatment and monitoring of patients with rare diseases. METHODS: We used a descriptive cross-sectional study through an "ad hoc" survey of 26 questions was completed by 132 primary care physicians and 37 specialists during April and May 2018. RESULTS: Less than a third of the physicians had received training in rare disease during their undergraduate or postgraduate years, and for hospital professionals, they received more training in the postgraduate period. CONCLUSION: Primary care physicians and specialists showed low training level in rare diseases. An academical and continuous program on rare disease, as well as, multidisciplinary units and high quality practice guidelines are necessary to help to prevention and support clinical decisions and improve quality of care of patients and families.

General knowledge and opinion of future health care and non-health care professionals on rare diseases.

RATIONALE, AIMS AND OBJECTIVES: The debate about whether to dedicate funds to rare diseases (RD) may hinge on the existence of a societal preference for prioritizing rarity. There are scarce studies about the interest of doctors and general society in RD. METHOD: Four groups of future health and non-health professionals were surveyed in a region of Spain to evaluate their opinion on RD. Questions of the study were organized into four groups: general knowledge on RD, prioritization of research of RD, willingness to assign resources to RD and real distribution of resources to RD. RESULTS: A total of 234 students were surveyed. The mean age of the whole study population was 24.0 years and the 83.3% were female. Only around 25% of the survey sample knew the definitions of RD and orphan drugs. Questions related to willingness to assign resources to RD did not reveal statistically significant differences between study groups. Seventy-three per cent considered that the majority of the budget should be used to treat common diseases. However, resident doctors recognized that they have neither experience nor time to diagnose and treat RD. CONCLUSION: Although resident doctors have a little more general knowledge on RD than other surveyed groups, health and non-health future professionals have a low general knowledge on this topic and none of them prioritized the assignment of funds to RD.

Detection of human herpesvirus-6, Epstein-Barr virus and cytomegalovirus in formalin-fixed tissues from sudden infant death: a study with quantitative real-time PCR.

BACKGROUND: The role of viruses in the context of sudden infant death in early childhood is still unclear, although there are many findings pointing to a viral infection possibly leading to death. OBJECTIVES: To analyse the prevalence and viral loads of human herpesvirus-6 (HHV-6), Epstein-Barr virus (EBV), and cytomegalovirus (CMV), three viruses that have been previously detected in some cases of sudden death in infants, in tissues from sudden infant death syndrome (SIDS) patients and controls. MATERIALS AND METHODS: Thirty-nine formalin-fixed paraffin-embedded tissue sections of eleven consecutive cases of SIDS, and thirty-nine formalin-fixed paraffin-embedded tissue sections of nine control cases were analysed by a specific quantitative real-time PCR for the detection of HHV-6, EBV, and CMV. RESULTS: The comparison of the whole viral DNA prevalence in cases and tissue sections between SIDS and controls showed a statistical significance (72.7% vs. 22.2%, p=0.025; 41.1% vs. 10.3%, p=0.001, respectively); in particular, we found a statistical significant difference for the EBV DNA prevalence among cases (p=0.042) and tissues (p=0.048), and a statistical significant difference for the HHV-6 DNA prevalence among cases (p=0.017). CONCLUSIONS: This is one of the first studies using quantitative real-time PCR for virus detection in cases of SIDS, and the results suggest that some herpesvirus infections, and particularly those caused by EBV and HHV-6 could be related with some cases of SIDS. Further studies will be necessary to understand the real significance of these findings in the context of SIDS.

Curso Administración Sanitaria en Casos de Desastre / Course for health management in events of disaster

El presente documento constituye una guía de acciones para las autoridades del Ministerio de Salud, municipales, comites locales de emergencia, lideres comunales y la comunidad en general en casos de desastres. Contiene instrucciones e indicaciones para la población que pueda ser afectada, en cuanto a la conducta que debe seguir en dichas situaciones, colaboración que deben prestar a las autoridades y organismos de socorro, medidas preventivas que deben adoptar para su protección y del grupo familiar, así como las medidas y elementos mínimos con que se debe contar para aquellos casos en que fuera preciso efectuar una evacuación preventiva

Curso Administración Sanitaria en Casos de Desastre / Course for health management in events of disaster

El presente documento constituye una guía de acciones para las autoridades del Ministerio de Salud, municipales, comites locales de emergencia, lideres comunales y la comunidad en general en casos de desastres. Contiene instrucciones e indicaciones para la población que pueda ser afectada, en cuanto a la conducta que debe seguir en dichas situaciones, colaboración que deben prestar a las autoridades y organismos de socorro, medidas preventivas que deben adoptar para su protección y del grupo familiar, así como las medidas y elementos mínimos con que se debe contar para aquellos casos en que fuera preciso efectuar una evacuación preventiva