2,518 research outputs found

    Performance Comparison Of Self-Consumption For A Photovoltaic System With Battery Storage And Load Management

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    As the energy consumption in the U.S. continuous to rise, there is a need to install more power plants to supply the energy demand. However, installing more fossil fuel power plants is very harmful to the environment. The rapid growth in photovoltaic (PV) system does contribute in reducing the amount of new power plants, but since its performance relies on weather conditions, this system may not be very reliable on its own. The non-dispatchable nature of PV limits the amount of PV on the current grid. In order to improve this system’s reliability, it is possible to add energy storage and charge it during off peak demand or when there is excess in energy PV generation. Therefore, whenever there is a peak demand, PV power can be combined with battery power to supply the demand. In addition, load management is another technique that can potentially allow PV to satisfy more loads. In this study, performance of a residential PV system with and without storage was studied in order to compare the improvements in self-consumption, meaning a decrease in grid imports/exports. Two different load management schemes were compared

    Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain.

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    The parasagittal (PS) plane is a 2-D diagnostic plane used routinely in cranial ultrasonography of the neonatal brain. This paper develops a novel approach to find the PS plane in a 3-D fetal ultrasound scan to allow image-based biomarkers to be tracked from prebirth through the first weeks of postbirth life. We propose an accurate plane-finding solution based on regression forests (RF). The method initially localizes the fetal brain and its midline automatically. The midline on several axial slices is used to detect the midsagittal plane, which is used as a constraint in the proposed RF framework to detect the PS plane. The proposed learning algorithm guides the RF learning method in a novel way by: 1) using informative voxels and voxel informative strength as a weighting within the training stage objective function, and 2) introducing regularization of the RF by proposing a geometrical feature within the training stage. Results on clinical data indicate that the new automated method is more reproducible than manual plane finding obtained by two clinicians

    Tissue and serum immune response in chronic hepatitis C with mild histological lesions

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    The immunopathogenesis of chronic hepatitis C virus (HCV) infection is a matter of great controversy and has been suggested to involve a complex balance between cytokines with pro and anti-inflammatory activity. We investigated the expression of inflammatory cells and cytokines in the liver and serum of 51 chronically HCV infected patients and compared them to data from two sets of normal controls: 51 healthy blood donors and 33 liver biopsies of healthy liver donors. We also assessed the relationship between selected cytokines and cell populations in hepatic compartments and the disease stage. Compared with controls, hepatitis C patients had a greater expression of portal TNF-α, TGF-β and CD4+ and acinar IFN-γ, TNF-α, IL-1β and IL-4, as well as a higher serum concentration of IL-2, IL-10 and TGF-β. Significant positive correlations were found between portal CD4+ and TNF-α, portal CD8+ and TGF-β, portal CD45+RO and TNF-α, acinar CD45+RO and IFN-γ and acinar CD57+ and TGF-β. In conclusion, we have shown that (i) in this sample of predominantly mild disease, the immune response was associated with a pro-inflammatory response pattern, (ii) CD4+ T-lymphocytes played a major role in orchestrating the immune response and (iii) these events primarily took place in the portal space.FAPES

    Predictive Factors of Relapse After Methotrexate Discontinuation in Juvenile Idiopathic Arthritis Patients With Inactive Disease

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    Objective: To identify predictive factors of relapse after discontinuation of Methotrexate (MTX) in Juvenile Idiopathic Arthritis (JIA) patients with inactive disease. Methods: We conducted a prospective multicenter cohort study of patients diagnosed with JIA using real world data from the Portuguese national register database, Reuma.pt. Patients with JIA who have reached JADAS27 inactive disease and discontinued MTX before the age of 18 were evaluated. Results: A total of 1470 patients with JIA were registered in Reuma.pt. Of the 119 bionaive patients who discontinued MTX due to inactive disease, 32.8% have relapsed. Median time of persistence (using the Kaplan-Meier method and log-rank tests) with inactive disease was significantly higher in patients with more than two years of remission before MTX discontinuation and in those who did not use NSAIDs at time of MTX discontinuation. In Cox regression analyses and after adjustment for age at diagnosis, MTX tapering and JIA category, the use of NSAIDs at the time of MTX discontinuation (HR, 1.98 95%CI 1.03-3.82) and remission time of less than two years before suspension (HR, 3.12 95%CI 1.35-7.13) remained associated with relapse. No association was found between JIA category or the regimen of MTX discontinuation and the risk of relapse. Conclusions: In this large cohort we found that the use of NSAIDs at the time of MTX discontinuation was associated with a two times higher likelihood of relapse. In addition, longer duration of remission before MTX withdrawal reduces the chance of relapse in bionaive JIA patients.info:eu-repo/semantics/publishedVersio

    Markedly Divergent Tree Assemblage Responses to Tropical Forest Loss and Fragmentation across a Strong Seasonality Gradient

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    We examine the effects of forest fragmentation on the structure and composition of tree assemblages within three seasonal and aseasonal forest types of southern Brazil, including evergreen, Araucaria, and deciduous forests. We sampled three southernmost Atlantic Forest landscapes, including the largest continuous forest protected areas within each forest type. Tree assemblages in each forest type were sampled within 10 plots of 0.1 ha in both continuous forests and 10 adjacent forest fragments. All trees within each plot were assigned to trait categories describing their regeneration strategy, vertical stratification, seed-dispersal mode, seed size, and wood density. We detected differences among both forest types and landscape contexts in terms of overall tree species richness, and the density and species richness of different functional groups in terms of regeneration strategy, seed dispersal mode and woody density. Overall, evergreen forest fragments exhibited the largest deviations from continuous forest plots in assemblage structure. Evergreen, Araucaria and deciduous forests diverge in the functional composition of tree floras, particularly in relation to regeneration strategy and stress tolerance. By supporting a more diversified light-demanding and stress-tolerant flora with reduced richness and abundance of shade-tolerant, old-growth species, both deciduous and Araucaria forest tree assemblages are more intrinsically resilient to contemporary human-disturbances, including fragmentation-induced edge effects, in terms of species erosion and functional shifts. We suggest that these intrinsic differences in the direction and magnitude of responses to changes in landscape structure between forest types should guide a wide range of conservation strategies in restoring fragmented tropical forest landscapes worldwide

    A selective p53 activator and anticancer agent to improve colorectal cancer therapy

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    Impairment of the p53 pathway is a critical event in cancer. Therefore, reestablishing p53 activity has become one of the most appealing anticancer therapeutic strategies. Here, we disclose the p53-activating anticancer drug (3S)-6,7-bis(hydroxymethyl)-5-methyl-3-phenyl-1H,3H-pyrrolo[1,2-c]thiazole (MANIO). MANIO demonstrates a notable selectivity to the p53 pathway, activating wild-type (WT)p53 and restoring WT-like function to mutant (mut)p53 in human cancer cells. MANIO directly binds to the WT/mutp53 DNA-binding domain, enhancing the protein thermal stability, DNA-binding ability, and transcriptional activity. The high efficacy of MANIO as an anticancer agent toward cancers harboring WT/mutp53 is further demonstrated in patient-derived cells and xenograft mouse models of colorectal cancer (CRC), with no signs of undesirable side effects. MANIO synergizes with conventional chemotherapeutic drugs, and in vitro and in vivo studies predict its adequate drug-likeness and pharmacokinetic properties for a clinical candidate. As a single agent or in combination, MANIO will advance anticancer-targeted therapy, particularly benefiting CRC patients harboring distinct p53 status.We thank PT national funds (FCT/MCTES , Fundação para a Ciência e a Tecnologia , and Ministério da Ciência, Tecnologia e Ensino Superior ) through grants UIDB/50006/2020 , UID/BIO/04469/2019 , UIDB/04539/2020 , and UIDP/04539/2020 ( CIBB ); BioTecNorte operation ( NORTE-01-0145-FEDER-000004 ) and Porto Neurosciences and Neurologic Disease Research Initiative at I3S ( Norte-01-0145-FEDER-000008 ) funded by the European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte ; Masaryk University ( Project MUNI/A/1127/2019 ) and Ministry of Education, Youth and Sports of the Czech Republic (project nos. LQ1605 and LM2018125 ); FCT financial support through the fellowships SFRH/BD/119144/2016 (H.R.) and SFRH/BD/117949/2016 (L.R.); Fondazione AIRC ( IG#18985 , A.I.); and the Programa Operacional Potencial Humano (POCH), specifically the BiotechHealth Programme (Doctoral Programme on Cellular and Molecular Biotechnology Applied to Health Sciences , PD/00016/2012 ). We thank Dario Rizzotto for assistance in preparing the libraries for RNA sequencing. Funding: This work was supported by PT National Funds (FCT/MCTES, Fundação para a Ciência e Tecnologia , and Ministério da Ciência, Tecnologia e Ensino Superior ) via the projects UIDB/50006/2020 ( LAQV/REQUIMTE ), UIDB/00313/2020 , and UIDP/00313/2020 , co-funded by COMPETE2020-UE
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