Wind Resource Assessment on Puna Island

Puna Island, located in the Pacific Ocean off the southern coast of Ecuador, has a population of approximately 3344 inhabitants. However, not all inhabitants have access to electricity, which is largely supplied by diesel generators. Therefore, to identify a renewable, sustainable, environmentally friendly and low-cost alternative, a 40-m-high anemometer tower was installed for wind resource assessment and to determine the possibility of generating electricity from wind energy. Based on mathematical models for electricity generation from wind energy, data were analyzed using the software Windographer and WAsP, to determine a long-term wind speed of 4.8 m/s and a mean wind power density of 272 W/m(2). By simulating the use of a 3.3-MW wind turbine, we demonstrated that as much as 800 kWh could be generated during the hours when the wind reaches its highest speed. In addition to demonstrating the technical feasibility of meeting the electricity demands of Puna Island through wind power, this study exemplifies a method that can be used for wind resource assessment in any location

Migrating from traditional grid to smart grid in smart cities promoted in developing country

Smart Grid is a term that encompasses the economic benefits of an intelligent and advanced power grid to reach changing responsibilities related directly to sustainability and energy efficiency. Considering the shortfall of alternative fuels in developed regions, the new smart grids, in order to have access to their environmental hazard, show that the average non-renewable and renewable energy sources can be integrated to reduce environmental disasters to improve production costs significantly. In order to provide reliable, secured, and cost-effective power grid functions, infrastructures can quickly and effectively co-ordinate power-sharing between several renewable energy sources freely accessible and economically demand costs. This article reviews the conceptual model, goals, architecture, potential benefits, and power grid issues with a complete and accurate understanding of the different defenders and people involved in the worldwide region scenario. The article examined energy and transmission issues, including smart grids and grid barriers, comprehensively

Exploratory study of an oral screening dysplasia program for HIV-infected men who have sex with men

Dysplasia; Screening; HIV-infectedDisplasia; Cribado; Infectado por el VIHDisplàsia; Cribratge; Infectat pel VIHBackground: HIV-infected men who have sex with men (MSM) are at high risk to develop human papilloma virus (HPV)-related oropharyngeal cancer. The aim of our study was to assess the usefulness of a pilot oral dysplasia screening program and its correlation with an anal dysplasia screening program. Methods: This was a prospective study with HIV-infected MSM. Oral and anal screenings were performed based on HPV determination, liquid cytology, direct and microscopy oral examinations, high-resolution anoscopy and biopsies, if necessary. Results: A total of 103 patients were included. The mean age of the patients was 44.6 years, 55.3% were smokers, and 57.3% had a history of previous anal high-grade squamous intraepithelial lesions (HSILs). The prevalence of oral HPV infections was 14% (9% HPV-high risk), the prevalence of abnormal cytology was 25.2%, and in 4.8% of the patients, oral examinations showed suspicious HSILs. Oral microscopy did not detect additional lesions that visual inspection. Five oral biopsies were performed and the results were normal. No risk factors for oral HPV infections were identified. The prevalence of anal HPV infections was 88.3% (76.7% HPV-high risk), 52.9% of the patients had altered cytology, and in 45.6% anoscopy showed changes suggestive of HSILs. Seventy-two anal biopsies were performed, detecting 25 cases of HSILs (24.3%). A poor correlation was observed between oral and anal HPV infections (κ = 0.037). Conclusions: The prevalence of oral HPV infections, abnormal cytology and lesions in HIV-infected MSM was low, and their correlation with anal HPV-related lesions was slight. These results confirm the current barriers to oral dysplasia screening techniques.Study funded by program MISP of MSD (Merck HPV Investigator Study Program). MISP project code 58237

High levels of chromosomal aberrations negatively associate with benefit to checkpoint inhibition in NSCLC

Immunotherapy; Lung neoplasms; Tumor biomarkersImmunoteràpia; Càncer de pulmó; Biomarcadors tumoralsInmunoterapia; Cáncer de pulmón; Biomarcadores tumoralesBackground Immune checkpoint inhibitors (ICIs) targeting the programmed cell death 1/programmed death-ligand 1 axis have transformed the management of advanced non-small cell lung cancer (NSCLC). However, many patients do not benefit from this type of treatment, and thus several molecular biomarkers of benefit have been explored. The value of somatic copy number alterations (SCNAs) burden remains elusive. Patients and methods We assembled a cohort of 109 patients with NSCLC treated with ICIs and available tumor samples. We performed shallow whole-genome sequencing on 89 patients to determine genome-wide SCNAs and targeted gene expression analysis on 63 patients to study immune infiltration. We analyzed SCNAs burden in different ways (ie, the fraction of the genome altered or number of events) and studied their association with ICIs benefit based on survival analysis. We correlated SCNAs burden and immune infiltration on 35 patients of our cohort and on patients with lung adenocarcinoma from The Cancer Genome Atlas (TCGA). Results High SCNAs burden, computed in diverse ways, is negatively associated with ICIs progression-free survival (PFS), with the fraction of the genome altered (FGA) by arm and chromosome events showing the strongest association with PFS (p=0.002) (n=77). Nevertheless, we found differences in SCNAs across some clinicopathological features (sample site origin). A multivariate analysis adjusted for relevant characteristics showed that the FGA of arm and chromosome alterations was strongly associated with PFS (HR=2.21, p=3.3 x 10−5). Finally, we confirmed that SCNAs burden negatively correlates with tumor immune infiltration (n=35), although this correlation was not found for the males studied. Similar results were observed in the TCGA cohort. Conclusions SCNAs burden is a potential biomarker of benefit to ICIs in patients with NSCLC, although there appear to be some nuances worth consideration. Further studies will be needed to establish its role as a biomarker of benefit to ICIs.This work was supported by Merck Healthcare KGaA, Darmstadt, Germany (Grant for Oncology Innovation to the Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain), Fundación Cientifica Asociación Española Contra el Cancer-AECC (grant number GCB14142170 to EF); the Catalan Government/AGAUR (2017–SGR–1738 to EF). Merck Healthcare KGaA reviewed the manuscript for medical accuracy only before journal submission

Solving patients with rare diseases through programmatic reanalysis of genome-phenome data

Reanalysis of inconclusive exome/genome sequencing data increases the diagnosis yield of patients with rare diseases. However, the cost and efforts required for reanalysis prevent its routine implementation in research and clinical environments. The Solve-RD project aims to reveal the molecular causes underlying undiagnosed rare diseases. One of the goals is to implement innovative approaches to reanalyse the exomes and genomes from thousands of well-studied undiagnosed cases. The raw genomic data is submitted to Solve-RD through the RD-Connect Genome-Phenome Analysis Platform (GPAP) together with standardised phenotypic and pedigree data. We have developed a programmatic workflow to reanalyse genome-phenome data. It uses the RD-Connect GPAP’s Application Programming Interface (API) and relies on the big-data technologies upon which the system is built. We have applied the workflow to prioritise rare known pathogenic variants from 4411 undiagnosed cases. The queries returned an average of 1.45 variants per case, which first were evaluated in bulk by a panel of disease experts and afterwards specifically by the submitter of each case. A total of 120 index cases (21.2% of prioritised cases, 2.7% of all exome/genome-negative samples) have already been solved, with others being under investigation. The implementation of solutions as the one described here provide the technical framework to enable periodic case-level data re-evaluation in clinical settings, as recommended by the American College of Medical Genetics

A power-line communication system governed by loop resonance for photovoltaic plant monitoring

Within this paper, a PLC system that takes advantage of the loop resonance of an entire DC-PV string configured as a circular signal path is developed and implemented. Low cost and extremely simple transceivers intended to be installed within each PV module of a string have been designed and successfully tested. In addition, an anti-saturation coil has been conceived to avoid saturation of the core when the entire DC current of the string flows through it. Bi-directional half-duplex communication was successfully executed with up to a 1 MHz carrier frequency (150 kbps bitrate), using a simple ASK modulation scheme. The transmission and reception performance are presented, along with the overall system cost in comparison to the previous literature.The Universidad dee Valladolid with the predoctoral contracts of 2020 co-funded by Santander Bank.https://www.mdpi.com/journal/sensorsam2023Electrical, Electronic and Computer Engineerin

The RD-Connect Genome-Phenome Analysis Platform: Accelerating diagnosis, research, and gene discovery for rare diseases.

Rare disease patients are more likely to receive a rapid molecular diagnosis nowadays thanks to the wide adoption of next-generation sequencing. However, many cases remain undiagnosed even after exome or genome analysis, because the methods used missed the molecular cause in a known gene, or a novel causative gene could not be identified and/or confirmed. To address these challenges, the RD-Connect Genome-Phenome Analysis Platform (GPAP) facilitates the collation, discovery, sharing, and analysis of standardized genome-phenome data within a collaborative environment. Authorized clinicians and researchers submit pseudonymised phenotypic profiles encoded using the Human Phenotype Ontology, and raw genomic data which is processed through a standardized pipeline. After an optional embargo period, the data are shared with other platform users, with the objective that similar cases in the system and queries from peers may help diagnose the case. Additionally, the platform enables bidirectional discovery of similar cases in other databases from the Matchmaker Exchange network. To facilitate genome-phenome analysis and interpretation by clinical researchers, the RD-Connect GPAP provides a powerful user-friendly interface and leverages tens of information sources. As a result, the resource has already helped diagnose hundreds of rare disease patients and discover new disease causing genes

The time scale of recombination rate evolution in great apes

We present three linkage-disequilibrium (LD)-based recombination maps generated using whole-genome sequence data from 10 Nigerian chimpanzees, 13 bonobos, and 15 western gorillas, collected as part of the Great Ape Genome Project (Prado-Martinez J, et al. 2013. Great ape genetic diversity and population history. Nature 499:471-475). We also identified species-specific recombination hotspots in each group using a modified LDhot framework, which greatly improves statistical power to detect hotspots at varying strengths. We show that fewer hotspots are shared among chimpanzee subspecies than within human populations, further narrowing the time scale of complete hotspot turnover. Further, using species-specific PRDM9 sequences to predict potential binding sites (PBS), we show higher predicted PRDM9 binding in recombination hotspots as compared to matched cold spot regions in multiple great ape species, including at least one chimpanzee subspecies. We found that correlations between broad-scale recombination rates decline more rapidly than nucleotide divergence between species. We also compared the skew of recombination rates at centromeres and telomeres between species and show a skew from chromosome means extending as far as 10-15Mb from chromosome ends. Further, we examined broad-scale recombination rate changes near a translocation in gorillas and found minimal differences as compared to other great ape species perhaps because the coordinates relative to the chromosome ends were unaffected. Finally, on the basis of multiple linear regression analysis, we found that various correlates of recombination rate persist throughout the African great apes including repeats, diversity, and divergence. Our study is the first to analyze within- And between-species genome-wide recombination rate variation in several close relatives

Degradation analysis of 5-year field exposed photovoltaic modules using low-cost thermography, electroluminescence and I-V curve tests in Ecuador

Detection of degradation of photovoltaic (PV) modules is important for the maintenance and operation of solar PV farms to reduce production losses. Infrarred (IR) Thermography, Electroluminescence (EL) and I-V curve tracers are detection techniques that generally use high-cost equipment, which limits their use in developing countries due to the tight budgets they manage for research and development. This study shows the use of low-cost alternatives to determine the deterioration of 140 solar PV modules at the University of Cuenca-Ecuador. This array has functioned continually without fail for 5 years. Measurement equipment for degradation detection techniques with a cost of less than 1, 000.00USD is used and its application is validated with professional equipment. A power loss of 1.29% per year is obtained. In addition, the use of degradation values obtained from similar studies is proposed to reduce the effort of detecting deterioration modes, whose approximation allows the calculation of the power delivered by the installation with a 2.04% error. A method for the economic quantification due to the losses caused by the deterioration of solar PV modules is also exposed.Estambu

Termografía infrarroja de bajo costo como soporte para la investigación sobre degradación de paneles fotovoltaicos

El análisis del deterioro de paneles fotovoltaicos permite a los investigadores conocer el estado de salud de un panel con el objetivo de determinar el funcionamiento global de una granja fotovoltaica. Una parte de este análisis se realiza mediante termografía, utilizando generalmente equipos profesionales y de costos elevados. Este artículo se presenta una validación para el uso de cámaras termográficas de bajo costo, revisando el error relativo que se puede obtener mediante análisis de dispersión, contorno y mallas tridimensionales. El procedimiento es validado mediante análisis de curvas I-V/P-V y una matriz de sensores de temperatura, llegando a errores menores del 10% con cámaras con inferiores a 500USD.The analysis of PV solar panels deterioration allows researchers to know the health status of a panel in order to determine the overall functioning of a PV solar farm. A part of this analysis is performed by thermography, generally using professional and expensive equipment. This article presents a validation for the use of low-cost thermal imaging cameras, reviewing the relative error that can be obtained through scattering, contour analysis and three-dimensional meshes. The procedure is validated by analysis of I-V/P-V curves and a temperature sensor matrix, reaching errors less than 10% with cameras with less than 500USD.</jats:p