24 research outputs found

    Band selection pipeline for maturity stage classification in bell peppers: From full spectrum to simulated camera data

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    This paper describes a workflow for classifying the maturity of bell peppers using hyperspectral imaging and machine learning. The approach involves using spectral reflectance to determine the number of maturity stages, followed by a classification task using the optimal bands for accurate classification. The study explores a realistic scenario using simulated camera responses and investigates the use of real sensors with their spectral sensitivities and noise. Four classifier algorithms (RBFNN, PLS-DA, SVM, and LDA) were employed to predict the maturity stage based on spectral reflectance. The best results were achieved with the LDA algorithm, which was used in the optimization process for band selection. The optimized bands in the VISNIR range (400–1000 nm) were found to be [783.5, 844.1, and 905.4] nm, with an accuracy of 90.67% for spectral data. For camera responses with intermediate-level noise, the best bands were [760, 820, and 900 nm], achieving an accuracy of 81%. Overall, using three bands yielded satisfactory and practical results for real-world implementation.Universidad de Granada/CBU

    CVD-MET: an image difference metric designed for analysis of color vision deficiency aids

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    Color vision deficiency (CVD) has gained in relevance in the last decade, with a surge of proposals for aid systems that aim to improve the color discrimination capabilities of CVD subjects. This paper focuses on the proposal of a new metric called CVD-MET, that can evaluate the efficiency and naturalness of these systems through a set of images using a simulation of the subject’s vision. In the simulation, the effect of chromatic adaptation is introduced via CIECAM02, which is relevant for the evaluation of passive aids (color filters). To demonstrate the potential of the CVD-MET, an evaluation of a representative set of passive and active aids is carried out both with conventional image quality metrics and with CVD-MET. The results suggest that the active aids (recoloration algorithms) are in general more efficient and produce more natural images, although the changes that are introduced do not shift the CVD’s perception of the scene towards the normal observer’s perception.Junta de Andalucia A-TIC-050-UGR18Spanish Government FIS2017-89258-PMinisterio de Ciencia, Innovación y Universidades RTI2018-094738-B-I0

    Estresores adolescentes: Desarrollo de la versión española del Adolescent Stress Questionnaire (ASQ-S)

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    El propósito del presente trabajo es estudiar las propiedades psicométricas de la versión española del Adolescent Stress Questionnaire (ASQ-S) para evaluar los estresores contemporáneos que experimenta la población adolescente entre 12 y 18 años.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

    Alergia a drogas de abuso

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    El Cannabis es la droga ilegal más consumida por los jóvenes. Es posible que la respuesta inmune y la toxicidad a las mismas estén relacionadas y que el organismo responda con un mecanismo tóxico-inmunológico.El cannabis posee alérgenos que provocan una respuesta inmune en el organismo y puede ser un importante alergeno en gente consumidora. Dada la exposición social, médica y ocupacional cada vez más frecuente a Cannabis sativa, se ha producido un aumento de la frecuencia de las reacciones alérgicas que, sin embargo, no se ha visto acompañada del deseado aumento de conocimiento sobre la reactividad IgE de alergenos a Cannabis. No obstante, recientemente hemos identificado la secuencia peptídica madura de la proteína de transferencia lipídica (LTP) y del estudio de la reactividad a IgE de un Can s3 recombinante (rCan s 3), ha sido posible sintetizar un ADN complementario a partir del ARN de hojas de Cannabis sativa L. spp sativa cv. Kompolti procedentes del jardín botánico de la Universidad de Bonn, que ha sido útil el el diagnóstico y prevención de la alergia a cannabis.En otro estudio extractos de Papaver somníferum se han utilizado el el diagnóstico de alergia a opioides.Due to the increasing social, medical, and occupational exposure to illicit drugs as cannabis and heroin, extracts from Cannabis sativa and Papaver somníferum were tested in allergic and drugs abusers people. The frequency of allergic reactions is growing but little is known about the IgE-reactivity of singledrugs allergens. To identify the mature peptide sequence of the lipid transfer protein (LTP) and to study the IgE-binding reactivity of a recombinant Can s 3 (rCan s 3), a cDNA was synthesized from total RNA of leaves from Cannabis sativa L. ssp. sativa cv. Kompolti obtained from the botanical garden of the University Bonn. The amplification of the LTP gene was performed with a primer mix deduced from published amino acid sequences.To determine the diagnostic accuracy of specific antibodies to morphine, codeine, rocuronium and oil body and aqueous fractions of Papaver somniferum seeds were used in the diagnosis and prevention of allergy to opioids

    Allergic hypersensitivity to cannabis in patients with allergy and illicit drug users

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    Producción Científica: Cannabis is the illicit drug most widely used by young people in high-income countries. Allergy symptoms have only occasionally been reported as one of the adverse health effects of cannabis use. Objectives: To study IgE-mediated response to cannabis in drug users, atopic patients, and healthy controls. Methods: Asthmatic patients sensitised to pollen, and all patients sensitised to tobacco, tomato and latex, considered as cross-reacting allergens, were selected from a data base of 21,582 patients. Drug users attending a drug-rehabilitation clinic were also included. Controls were 200 non-atopic blood donors. Specific IgE determination, prick tests and specific challenge with cannabis extracts were performed in patients and controls

    A decade of GRB follow-up by BOOTES in Spain (2003-2013)

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    This article covers ten years of GRB follow-ups by the Spanish BOOTES stations: 71 follow-ups providing 23 detections. Follow-ups by BOOTES-1B from 2005 to 2008 were given in the previous article, and are here reviewed, updated, and include additional detection data points as the former article merely stated their existence. The all-sky cameras CASSANDRA have not yet detected any GRB optical afterglows, but limits are reported where available

    Effect of viral storm in patients admitted to intensive care units with severe COVID-19 in Spain: a multicentre, prospective, cohort study

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    Background: The contribution of the virus to the pathogenesis of severe COVID-19 is still unclear. We aimed to evaluate associations between viral RNA load in plasma and host response, complications, and deaths in critically ill patients with COVID-19. Methods: We did a prospective cohort study across 23 hospitals in Spain. We included patients aged 18 years or older with laboratory-confirmed SARS-CoV-2 infection who were admitted to an intensive care unit between March 16, 2020, and Feb 27, 2021. RNA of the SARS-CoV-2 nucleocapsid region 1 (N1) was quantified in plasma samples collected from patients in the first 48 h following admission, using digital PCR. Patients were grouped on the basis of N1 quantity: VIR-N1-Zero ([removed]2747 N1 copies per mL). The primary outcome was all-cause death within 90 days after admission. We evaluated odds ratios (ORs) for the primary outcome between groups using a logistic regression analysis. Findings: 1068 patients met the inclusion criteria, of whom 117 had insufficient plasma samples and 115 had key information missing. 836 patients were included in the analysis, of whom 403 (48%) were in the VIR-N1-Low group, 283 (34%) were in the VIR-N1-Storm group, and 150 (18%) were in the VIR-N1-Zero group. Overall, patients in the VIR-N1-Storm group had the most severe disease: 266 (94%) of 283 patients received invasive mechanical ventilation (IMV), 116 (41%) developed acute kidney injury, 180 (65%) had secondary infections, and 148 (52%) died within 90 days. Patients in the VIR-N1-Zero group had the least severe disease: 81 (54%) of 150 received IMV, 34 (23%) developed acute kidney injury, 47 (32%) had secondary infections, and 26 (17%) died within 90 days (OR for death 0·30, 95% CI 0·16–0·55; p<0·0001, compared with the VIR-N1-Storm group). 106 (26%) of 403 patients in the VIR-N1-Low group died within 90 days (OR for death 0·39, 95% CI 0·26–0·57; p[removed]11 página
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