Implementación del sistema de localizacion y obtencion del mapa de un robot movil

Este proyecto abarca todo el proceso de configuración de un robot comercial (Neato XV-Essential) para poder controlarlo de forma remota mediante conexión inalámbrica y la implementación de diversos entornos de control para su uso en docencia (Matlab y Simulink)

Symptom-Based Predictive Model of COVID-19 Disease in Children

COVID-19; Microbiology; PaediatricsCOVID-19; Microbiología; PediatríaCOVID-19; Microbiologia; PediatriaBackground: Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is neither always accessible nor easy to perform in children. We aimed to propose a machine learning model to assess the need for a SARS-CoV-2 test in children (<16 years old), depending on their clinical symptoms. Methods: Epidemiological and clinical data were obtained from the REDCap® registry. Overall, 4434 SARS-CoV-2 tests were performed in symptomatic children between 1 November 2020 and 31 March 2021, 784 were positive (17.68%). We pre-processed the data to be suitable for a machine learning (ML) algorithm, balancing the positive-negative rate and preparing subsets of data by age. We trained several models and chose those with the best performance for each subset. Results: The use of ML demonstrated an AUROC of 0.65 to predict a COVID-19 diagnosis in children. The absence of high-grade fever was the major predictor of COVID-19 in younger children, whereas loss of taste or smell was the most determinant symptom in older children. Conclusions: Although the accuracy of the models was lower than expected, they can be used to provide a diagnosis when epidemiological data on the risk of exposure to COVID-19 is unknown.This research has received external funding from the Fundació la Marató tv3 after being awarded in the COVID-19 research call with the expedient number 202134-30-31

Symptom-based predictive model of COVID-19 disease in children

Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is neither always accessible nor easy to perform in children. We aimed to propose a machine learning model to assess the need for a SARS-CoV-2 test in children (<16 years old), depending on their clinical symptoms. Methods: Epidemiological and clinical data were obtained from the REDCap® registry. Overall, 4434 SARS-CoV-2 tests were performed in symptomatic children between 1 November 2020 and 31 March 2021, 784 were positive (17.68%). We pre-processed the data to be suitable for a machine learning (ML) algorithm, balancing the positive-negative rate and preparing subsets of data by ageThis research has received external funding from the Fundació la Marató tv3 after being awarded in the COVID-19 research call with the expedient number 202134-30-31.Objectius de Desenvolupament Sostenible::3 - Salut i BenestarPostprint (published version

Aula d'Ecologia : cicles de conferències 1999 i 2000

Descripció del recurs: 13 juny 2007Conté: Rafael Argullol, Natura i ciutat en el canvi de mil·lenni ; Antoni Lloret, Energies per al segle XXI ; Jorge Wagensberg, Investigació científica i sostenibilitat: l'experiència amazònica ; Manuel Ludevid, El paper de les empreses en la societat sostenible ; Rafael Grasa, El paper de les ONG en la societat sostenible ; Luis Ángel Fernández Hermana, La comunicació en la transició cap a una societat sostenible ; Frederic Ximeno, Estratègies i eines de planificació territorial cap a una ciutat sostenible ; José Luis Porcuna, Estratègies agroecològiques cap a una agricultura sostenible ; Josep Germain, Estratègia catalana per a la biodiversitat ; Carles Gràcia, Els boscos i el funcionament sostenible del planeta ; Manuel Herce, El territori de la ciutat: criteris de sostenibilitat, ordenació i urbanització ; Josep Enric Llebot, Ciència i política del canvi climàtic ; Àlex Aguilar, L'extinció de les espècies: entre la ignorància i la tolerància ; Josep Olives, La ciutat com a idea d'equilibri ; Anna Cabré, Demografia i migracions al segle XXI: què és raonable preveure? ; Manolis Kogevinas, Càncer i exposicions mediambientals ; Ramon Arandes, L'aprofitament de les aigües del subsòl de Barcelona ; Rafael Simó, L'oceà i l'atmosfera, inseparables davant el canvi climàtic global ; Joan Caylà, Sobre el possible impacte mundial de la sida en la dècada 2000-2010 ; Jordi Serra Raventós, Ocupació del litoral i implicacions sobre el territori ; Joan Manuel Vilaplana, Catàstrofes i societat ; Montserrat Vilà, Causes i conseqüències de les invasions biològiques ; Josep Egozcue, Clonatge humà: tècnica i ètica ; Millán M. Millán, Contaminación fotoquímica en la cuenca mediterránea: revisión de los resultados de proyectos de investigación europeos ; Jaume Terradas i José Ángel Burriel, Mapa ecològic de Barcelona

Impact of CD4 and CD8 dynamics and viral rebounds on loss of virological control in HIV controllers

Objective: HIV controllers (HICs) spontaneously maintain HIV viral replication at low level without antiretroviral therapy (ART), a small number of whom will eventually lose this ability to control HIV viremia. The objective was to identify factors associated with loss of virological control. Methods: HICs were identified in COHERE on the basis of \ue2\u89\ua55 consecutive viral loads (VL) \ue2\u89\ua4500 copies/mL over \ue2\u89\ua51 year whilst ART-naive, with the last VL \ue2\u89\ua4500 copies/mL measured \ue2\u89\ua55 years after HIV diagnosis. Loss of virological control was defined as 2 consecutive VL &gt;2000 copies/mL. Duration of HIV control was described using cumulative incidence method, considering loss of virological control, ART initiation and death during virological control as competing outcomes. Factors associated with loss of virological control were identified using Cox models. CD4 and CD8 dynamics were described using mixed-effect linear models. Results: We identified 1067 HICs; 86 lost virological control, 293 initiated ART, and 13 died during virological control. Six years after confirmation of HIC status, the probability of losing virological control, initiating ART and dying were 13%, 37%, and 2%. Current lower CD4/CD8 ratio and a history of transient viral rebounds were associated with an increased risk of losing virological control. CD4 declined and CD8 increased before loss of virological control, and before viral rebounds. Discussion: Expansion of CD8 and decline of CD4 during HIV control may result from repeated low-level viremia. Our findings suggest that in addition to superinfection, other mechanisms, such as low grade viral replication, can lead to loss of virological control in HICs

Implementación del sistema de localizacion y obtencion del mapa de un robot movil

Este proyecto abarca todo el proceso de configuración de un robot comercial (Neato XV-Essential) para poder controlarlo de forma remota mediante conexión inalámbrica y la implementación de diversos entornos de control para su uso en docencia (Matlab y Simulink)

Implementación del sistema de localizacion y obtencion del mapa de un robot movil

Este proyecto abarca todo el proceso de configuración de un robot comercial (Neato XV-Essential) para poder controlarlo de forma remota mediante conexión inalámbrica y la implementación de diversos entornos de control para su uso en docencia (Matlab y Simulink)

Groundwater modelling in the urban area of Barcelona

Postprint (published version

CD4 cell count response to first-line combination ART in HIV-2+ patients compared with HIV-1+ patients: A multinational, multicohort European study

Background: CD4 cell recovery following first-line combination ART (cART) is poorer in HIV-2+ than in HIV-1+ patients. Only large comparisons may allow adjustments for demographic and pretreatment plasma viral load (pVL). Methods: ART-naive HIV+ adults from two European multicohort collaborations, COHERE (HIV-1 alone) and ACHIeV2e (HIV-2 alone), were included, if they started first-line cART (without NNRTIs or fusion inhibitors) between 1997 and 2011. Patients without at least one CD4 cell count before start of cART, without a pretreatment pVL and with missing a priori-defined covariables were excluded. Evolution of CD4 cell count was studied using adjusted linear mixed models. Results: We included 185 HIV-2+ and 30321 HIV-1+ patients with median age of 46 years (IQR 36-52) and 37 years (IQR 31-44), respectively. Median observed pretreatment CD4 cell counts/mm3 were 203 (95% CI 100-290) in HIV-2+ patients and 223 (95% CI 100-353) in HIV-1+ patients. Mean observed CD4 cell count changes from start of cART to 12months were +105 (95% CI 77-134) in HIV-2+ patients and +202 (95% CI 199-205) in HIV-1+ patients, an observed difference of 97 cells/mm3in 1 year. In adjusted analysis, the mean CD4 cell increase was overall 25 CD4 cells/mm3/year lower (95% CI 5-44; P=0.0127) in HIV-2+ patients compared with HIV-1+ patients. Conclusions: A poorer CD4 cell increase during first-line cART was observed in HIV-2+patients, even after adjusting for pretreatment pVL and other potential confounders. Our results underline the need to identify more potent therapeutic regimens or strategies against HIV-2