418 research outputs found
Extraction de citations contenues dans des documents brevet
International audienceLe présent article s'inscrit dans une démarche générale d'élaboration d'outils et de méthodes d'analyse permettant de caractériser les activités scientifiques et techniques. Le nombre de publications scientifiques numériques est de plus en plus important. Nous nous intéressons plus particuliÚrement ici au repérage et à l'extraction automatique de citations et de références contenues dans des documents, en anglais, de type brevet d'inventions. La méthode utilisée repose sur une approche symbolique qui fait appel à la création et l'utilisation combinée de dictionnaires électroniques et de grammaires locales. L'outil de traitement de corpus Unitex est utilisé pour l'élaboration et l'application de ces ressources linguistiques à un corpus d'étude
In Vivo Anti-Diabetic Activity of the Ethanolic Crude Extract of Sorbus decora C.K.Schneid. (Rosacea): A Medicinal Plant Used by Canadian James Bay Cree Nations to Treat Symptoms Related to Diabetes
A number of potential anti-diabetic plants were identified through an ethnobotanical survey of the traditional pharmacopeia of the Cree of Eeyou Istchee (CEIâNortheastern Canada) used against symptoms of diabetes and their biological activity assessed by in vitro bioassays. Among these, Sorbus decora C.K.Schneid. (Rosacea) ranked highly and increased the transport of glucose in skeletal muscle cells in culture. The present study thus aimed at confirming the antidiabetic potential of S. decora in in vivo models of insulin resistance and diabetes, notably the streptozotocin Type 1 diabetic rat (STZ), the genetic KK-Ay Type 2 diabetic mouse and the rat rendered insulin resistant with 10% glucose water consumption for 6 weeks. Sorbus decora ethanolic crude extract (SDEE) was administered orally (200âmgâkgâ1) and compared to metformin (150 or 500âmgâkgâ1). The intragastric (i.g.) gavage of SDEE transiently decreased glycemia in STZ rats in a bi-phasic manner but the effect was cumulative over several days. In KK-Ay mice, SDEE incorporated in food (0.12%) decreased glycemia by 15% within 1 week as compared to vehicle controls. In pre-diabetic insulin-resistant rats, SDEE fed daily by i.g. gavage for 2 weeks significantly decreased the slight hyperglycemia and hyperinsulinemia, without affecting sugar water intake. Using the HOMA insulin resistance parameter, the effect of SDEE was equivalent to that of metformin. In conclusion, the ethanolic crude extract of S. decora demonstrates both anti-hyperglycemic and insulin-sensitizing activity in vivo, thereby confirming anti-diabetic potential and validating CEI traditional medicine
Phase Aberration Correction for in vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network
Ultrasound Localization Microscopy (ULM) can map microvessels at a resolution
of a few micrometers ({\mu}m). Transcranial ULM remains challenging in presence
of aberrations caused by the skull, which lead to localization errors. Herein,
we propose a deep learning approach based on recently introduced complex-valued
convolutional neural networks (CV-CNNs) to retrieve the aberration function,
which can then be used to form enhanced images using standard delay-and-sum
beamforming. Complex-valued convolutional networks were selected as they can
apply time delays through multiplication with in-phase quadrature input data.
Predicting the aberration function rather than corrected images also confers
enhanced explainability to the network. In addition, 3D spatiotemporal
convolutions were used for the network to leverage entire microbubble tracks.
For training and validation, we used an anatomically and hemodynamically
realistic mouse brain microvascular network model to simulate the flow of
microbubbles in presence of aberration. We then confirmed the capability of our
network to generalize to transcranial in vivo data in the mouse brain (n=2).
Qualitatively, vascular reconstructions using a pixel-wise predicted aberration
function included additional and sharper vessels. The spatial resolution was
evaluated by using the Fourier ring correlation (FRC). After correction, we
measured a resolution of 16.7 {\mu}m in vivo, representing an improvement of up
to 27.5 %. This work leads to different applications for complex-valued
convolutions in biomedical imaging and strategies to perform transcranial ULM
Polymerization study and rheological behavior of a RTM6 epoxy resin system during preprocessing step
Curing process and rheological behaviors of a monocomposant epoxy resin used in structural aeronautic applications are investigated. This study helped settle the basic parameters in order to optimize the infusion process of carbon fibers in an epoxy matrix. The effect of carbon nanotube dispersion during the preinjection step is also studied to improve electrical behavior of composite parts. The curing process has been analyzed at isothermal temperature using differential scanning calorimetry technique. Viscosity measurements were achieved with a Couette geometry, suitable for low viscosity resin. A shear-thinning effect caused by adding CNTs in the epoxy matrix is detected. It is more pronounced at high temperature for increasing CNT mass content
Comparison Between 18F-FDG PET Image-Derived Indices for Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer.
International audienceThe goal of this study was to determine the best predictive factor among image-derived parameters extracted from sequential F-FDG PET scans for early tumor response prediction after 2 cycles of neoadjuvant chemotherapy in breast cancer. METHODS: 51 breast cancer patients were included. Responder and nonresponder status was determined by histopathologic examination according to the tumor and node Sataloff scale. PET indices (maximum and mean standardized uptake value [SUV], metabolically active tumor volume, and total lesion glycolysis [TLG]), at baseline and their variation (Î) after 2 cycles of neoadjuvant chemotherapy were extracted from the PET images. Their predictive value was investigated using Mann-Whitney U tests and receiver-operating-characteristic analysis. Subgroup analysis was also performed by considering estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative, triple-negative, and HER2-positive tumors separately. The impact of partial-volume correction was also investigated using an iterative deconvolution algorithm. RESULTS: There were 24 pathologic nonresponders and 27 responders. None of the baseline PET parameters was correlated with response. After 2 neoadjuvant chemotherapy cycles, the reduction of each parameter was significantly associated with response, the best prediction of response being obtained with ÎTLG (96% sensitivity, 92% specificity, and 94% accuracy), which had a significantly higher area under the curve (0.91 vs. 0.82, P = 0.01) than did ÎSUV (63% sensitivity, 92% specificity, and 77% accuracy). Subgroup analysis confirmed a significantly higher accuracy for ÎTLG than ÎSUV for ER-positive/HER-negative but not for triple-negative and HER2-positive tumors. Partial-volume correction had no impact on the predictive value of any of the PET image-derived parameters despite significant changes in their absolute values. CONCLUSION: Our results suggest that the reduction after 2 neoadjuvant chemotherapy cycles of the metabolically active volume of primary tumor measurements such as ÎTLG predicts histopathologic tumor response with higher accuracy than does ÎSUV measurements, especially for ER-positive/HER2-negative breast cancer. These results should be confirmed in a larger group of patients as they may potentially increase the clinical value and efficiency of F-FDG PET for early prediction of response to neoadjuvant chemotherapy
A Robust Titanium Isophthalate Metal-Organic Framework for Visible-Light Photocatalytic CO2 Methanation
[EN] Isophthalic acid (IPA) has been considered to build metal-organic frameworks (MOFs), owing to its facile availability, unique connection angle-mode, and a wide range of functional groups attached. Constructing titanium-IPA frameworks that possess photoresponse properties is an alluring characteristic with respect to the challenge of synthesizing new titanium-based MOFs (Ti-MOFs) Here, we report the first Ti-IPA MOF (MIP-208) that efficiently combines the use of preformed Ti-8 oxoclusters and in situ acetylation of the 5-NH2-IPA linker. The mixed solid-solution linkers strategy was successfully applied, resulting in a series of multivariate MIP-208 structures with tunable chemical environments and sizable porosity. MIP-208 shows the best result among the pure MOF catalysts for the photocatalytic methanation of carbon dioxide. To improve the photocatalytic performance, ruthenium oxide nanoparticles were photo-deposited on MIP-208, forming a highly active and selective composite catalyst, MIP-208@RuOx, which features a notable visible-light response coupled with excellent stability and recycling ability.S.W. acknowledges the support from the National Natural Science Foundation of China (22071234) and the Fundamental Research Funds for the Central Universities (WK2480000007). S.N. thanks the Ministerio de Ciencia, Innovacion y Universidades (RTI2018-099482-A-I00 project, the Fundacion Ramon Areces (XVIII Concurso Nacional para la Adjudicacion de Ayudas a la Investigacion en Ciencias de la Vida y de la Materia, 2016), and Generalitat Valenciana grupos de investigacion consolidables (AICO/2019/214 project) and Agencia Valenciana de la Innovacion (INNEST/2020/111 project) for financial support. C.-C.C. acknowledges the support from the Program of China Scholarship Council (201700260093) and PHC Cai YuanPei Project (38893VJ). C.M.-C. is grateful for financial support from the Institut Universitaire de France (IUF) and the Paris Ile-de-France Region -DIM "Respore.'' H.G. thanks the Spanish Ministry of Science and Innovation (Severo Ochoa and RTI2018-098237-CO2-1) and Generalitat Valenciana (Prometeo2017/083) for financial support. The authors thank the staff at Synchrotron SOLEIL and the associated scientists for beamtime and assistance during SCXRD data collections on PROXIMA 2A, as well as Dr. Peng Guo and Dr. Nana Yan from Dalian Institute of Chemical Physics (Chinese Academy of Sciences) for the collection of high-resolution PXRD data for Rietveld refinement.Wang, S.; Cabrero-Antonino, M.; NavalĂłn Oltra, S.; Cao, C.; Tissot, A.; Dovgaliuk, I.; Marrot, J.... (2020). A Robust Titanium Isophthalate Metal-Organic Framework for Visible-Light Photocatalytic CO2 Methanation. 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c
âOriented NH
2
âMILâ125(Ti) Membranes with Superior H
2
/CO
2
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Mineral magnetic characterization of the Upper Pleniglacial Nussloch loess sequence (Germany): an insight into local environmental processes
Presently, most loess/palaeosol magnetic susceptibility records are interpreted as following either the wind-vigour model or the pedogenic enhancement model. However redoxomorphic processes induced by waterlogging, often referred to gleying in the loess literature, are also known to alter loess deposits but their impact on loess/palaeosol magnetic susceptibility records has received little attention. The reported rock magnetic study aims to characterize the mineral magnetic response of loess to waterlogging-induced redoxomorphic processes, thus improving our understanding of mineral magnetic changes within loess deposits with respect to environmental and climate conditions. The Nussloch loess-palaeosol deposit (Rhine Valley, Germany) was targeted because it is one of the best-studied Pleniglacial deposits for Western Europe in which numerous tundra gley intervals have been identified. Moreover, a comprehensive high-resolution environmental magnetism study has never been undertaken for this site.
Various rock magnetism experiments were conducted at both room and low temperatures to characterise the composition, concentration and relative magnetic grain size of the mineral magnetic assemblage. The relative changes in magnetic parameters within the investigated loess interval are primarily controlled by (1) varying concentrations of coarse-grained ferrimagnetic particles of detrital (aeolian) origin and (2) dissolution of fine-grained ferrimagnetic particles related to in situ post-depositional alteration promoted by waterlogging-induced redoxomorphic processes. Goethite is found to be ubiquitous throughout the studied interval and is argued to have both a primary (aeolian) and secondary (in situ) origin. We conclude, that redoxomorphic processes induced by waterlogging, if present, will hinder the interpretation of magnetic susceptibility variations within loess and palaeosol deposits following the expected relationships dictated by the wind-vigour and the pedogenic enhancement magnetism models
FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort.: FDG-PET heterogeneity and volume
International audienceIntra-tumor uptake heterogeneity in 18F-FDG PET has been associated with patient treatment outcomes in several cancer types. Textural features (TF) analysis is a promising method for its quantification. An open issue associated with the use of TF for the quantification of intratumoral heterogeneity concerns its added contribution and dependence on the metabolically active tumor volume (MATV), which has already been shown as a significant predictive and prognostic parameter. Our objective was to address this question using a larger cohort of patients covering different cancer types.METHODS:A single database of 555 pre-treatment 18F-FDG PET images (breast, cervix, esophageal, head & neck and lung cancer tumors) was assembled. Four robust and reproducible TF-derived parameters were considered. The issues associated with the calculation of TF using co-occurrence matrices (such as the quantization and spatial directionality relationships) were also investigated. The relationship between these features and MATV, as well as among the features themselves was investigated using Spearman rank coefficients, for different volume ranges. The complementary prognostic value of MATV and TF was assessed through multivariate Cox analysis in the esophageal and NSCLC cohorts.RESULTS:A large range of MATVs was included in the population considered (3-415 cm3, mean = 35, median = 19, SD=50). The correlation between MATV and TF varied greatly depending on the MATVs, with reduced correlation for increasing volumes. These findings were reproducible across the different cancer types. The quantization and the calculation method both had an impact on the correlation. Volume and heterogeneity were independent prognostic factors (P = 0.0053 and 0.0093 respectively) along with stage (P = 0.002) in NSCLC, but in the esophageal tumors, volume and heterogeneity had less complementary value due to smaller overall volumes.CONCLUSION:Our results suggest that heterogeneity quantification and volume may provide valuable complementary information for volumes above 10cm3, although the complementary information increases substantially with larger volumes
Genome wide analysis of gene dosage in 24,092 individuals estimates that 10,000 genes modulate cognitive ability
International audienceGenomic copy number variants (CNVs) are routinely identified and reported back to patients with neuropsychiatric disorders, but their quantitative effects on essential traits such as cognitive ability are poorly documented. We have recently shown that the effect size of deletions on cognitive ability can be statistically predicted using measures of intolerance to haploinsufficiency. However, the effect sizes of duplications remain unknown. It is also unknown if the effect of multigenic CNVs are driven by a few genes intolerant to haploinsufficiency or distributed across tolerant genes as well. Here, we identified all CNVsâ>â50 kilobases in 24,092 individuals from unselected and autism cohorts with assessments of general intelligence. Statistical models used measures of intolerance to haploinsufficiency of genes included in CNVs to predict their effect size on intelligence. Intolerant genes decrease general intelligence by 0.8 and 2.6 points of intelligence quotient when duplicated or deleted, respectively. Effect sizes showed no heterogeneity across cohorts. Validation analyses demonstrated that models could predict CNV effect sizes with 78% accuracy. Data on the inheritance of 27,766 CNVs showed that deletions and duplications with the same effect size on intelligence occur de novo at the same frequency. We estimated that around 10,000 intolerant and tolerant genes negatively affect intelligence when deleted, and less than 2% have large effect sizes. Genes encompassed in CNVs were not enriched in any GOterms but gene regulation and brain expression were GOterms overrepresented in the intolerant subgroup. Such pervasive effects on cognition may be related to emergent properties of the genome not restricted to a limited number of biological pathways
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