3,259 research outputs found
GC-FID data of biocatalytic esterification reactions & NMR data of lignin characterization
No full textTabulated chromatographic data (GC-FID) from butyl butyrate esterification reactions. 13C and 31P NMR data from pine kraft lignin (BIOPIVA 100) and cationic pine kraft lignin. A list of sample code identifiers with their descriptions is available upon request from the author.<br
Meetresultaten Kunststof GC-elementen: Project C2: Oever- en Bodembescherming met GC
No full textAnome BV en het Innovatie Test Centrum van Rijkswaterstaat-DWW zijn samen met verschillende partners aan het onderzoeken in hoeverre Ground Consolidators (GC\u92s) interessant zouden kunnen zijn voor gebruik in Oever- en bodembescherming. De eerste fase van het onderzoek is afgerond en er is besloten om verdergaand onderzoek te doen. In verband met duurzaamheid van het materiaal, is ervoor gekozen om verder onderzoek te verrichten naar GC-elementen van kunststof. Dit onderzoek is gedaan door een drietal studenten van de TU Delft aan de faculteit Civiele Techniek. Voorliggend document bevat de meetresultaten van de kwali- en kwantitatieve experimenten die zijn uitgevoerd om de eigenschappen van kunststoffen GC\u92s en een pakket GC\u92s te bepalen
Meetresultaten Kunststof GC-elementen: Versie 4
No full textAnome BV en het Innovatie Test Centrum van Rijkswaterstaat-DWW zijn samen met verschillende partners aan het onderzoeken in hoeverre Ground Consilidators (GC\u92s) interessant zouden kunnen zijn voor gebruik in Oever- en bodembescherming. De eerste fase van het onderzoek is afgerond en er is besloten om verdergaand onderzoek te doen. In verband met duurzaamheid van het materiaal, is ervoor gekozen om verder onderzoek te verrichten naar GC-elementen van kunststof. Dit onderzoek is gedaan door een drietal studenten van de TU Delft aan de faculteit Civiele Techniek. Voorliggend document bevat de meetresultaten van de kwali- en kwantitatieve experimenten die zijn uitgevoerd om de eigenschappen van kunststoffen GC\u92s en een pakket GC\u92s te bepalen
The Private Cost of Long-Term Care in Canada: Where You Live Matters
Full text linkCanadians expect the same access to health care whether they are rich or poor, and wherever they live, often without direct charge at the point of service. However, we find that the private cost of long-term care differs greatly across the country, and within provinces, we find substantial variation, depending on income level, marital status, and, in Quebec alone, on assets owned. A non-married person with average income would pay more than twice as much in the Atlantic provinces as in Quebec, while a couple with one in care would pay almost four times as much in Newfoundland as in Alberta.long-term care, private cost
Meetresultaten \u93extra proef\u94 Kunststof GC-elementen: Stabiliteit, soortelijk gewicht en elasticiteit
No full textDit rapport is een aanvulling op het eindverslag van het onderzoek naar het gedrag van kunststof GC elementen voor oever- en bodembescherming. Conclusies van dat (schaal-) onderzoek waren dat een structuur van GC elementen verrassend sterke hydraulische eigenschappen bezit en daarmee interessant is als erosiebeschermer bij bodem en oeverconstructies. Beperking in het gebruik lag bij \u93stabiliteit\u94. Onder sterke stroming of golfslag was het pakket onvoldoende stabiel. Zo werden er onder zeer sterke stroming flarden uit getrokken, of bewoog het pakket enigszins onder golfslag op een talud. Er werden verschillende kunststoffen gebruikt, met verschillende soortelijke gewichten. Uit extrapolatie en precieze bestudering van het bezwijken kon verwacht worden dat gebruik van sterkere GC\u92s (minder elastisch) en zwaardere GC\u92s (stabieler) het bereik waarin de GC gebruikt kan worden aanzienlijk zou moeten kunnen vergroten
Asymptotic mean and variance of Gini correlation for bivariate normal samples
Full text linkThis paper derives the asymptotic analytical forms of the mean and variance of the Gini correlation (GC) with respect to samples drawn from bivariate normal populations. The asymptotic relative efficiency (ARE) of the Gini correlation to Pearson's product moment correlation coefficient (PPMCC) is investigated under the normal assumptions. To gain further insight into GC, we also compare the Gini correlation to other two closely related correlation coefficients, namely, the order statistics correlation coefficient (OSCC) and Spearman's rho (SR). Theoretical and simulation results suggest that the performance of GC lies in between those of OSCC and SR when estimating the correlation coefficient of the bivariate normal population. The newly found theoretical results along with other desirable properties enable GC to be a useful alternative to the existing coefficients, especially when one wants to make a trade-off between the efficiency and robustness to monotone nonlinearity
Oblique derivative problems for second order equations of mixed type in multiply connected domains
No full textIn this paper, oblique derivative boundary value problems for second order equations of mixed (elliptic-hyperbolic) type in multiply connected domains is discussed. Firstly the representation of solutions for the above boundary value problem is given, afterwards the uniqueness and existence of solutions of the above problem are stated. In book [1], the author proposed the Dirichlet boundary value problem (Tricomi problem) for second order equations of mixed type in multiply connected domains. In [2, 3], the author only discussed the Dirichlet problem (Tricomi T-2 for the equation u(xx) + sgny u(yy) = 0 in a special doubly connected domain. Up to now we have not seen that other authors have solved it in multiply connected domains. In the present paper, we try to discuss the oblique derivative problem for second order equations of mixed type in multiply connected domains, which includes the Dirichlet problem (Problem T-2) as a special case.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000169505000164&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Mathematics, AppliedMathematicsCPCI-S(ISTP)
Genetically Engineered Mouse Model Recapitulating LKB1 and PTEN Loss In Gastric Cancer
No full textGastric cancer (GC) is an aggressive disease with the highest rate of mortality among cancers and is the second leading cause of cancer death worldwide. Recent molecular pathology studies have elucidated a detailed profile of genetic lesions associated with GC initiation and progression\ue2activation KRAS and inactivation or loss of E-cadherin, P53, APC and PTEN\ue2providing a foundation for investigation of the biological and biochemical basis for this malignancy. LKB1, also known as Serine/threonine kinase 11 (STK11), encodes a serine/threonine kinase that directly phosphorylates and activates AMPK, a cellular metabolic kinase. LKB1-AMPK pathway function also includes the maintenance of epithelial junction stability by regulating E-cadherin expression. In addition, LKB1 mutations are associated with the Peutz-Jeghers syndrome (PJS) consisting of intestinal polyposis and other gastrointestinal malignancies. PTEN, a tyrosine phosphatase, which regulates the activation of AKT pathway, is frequently mutated in many types of human cancer. This study seeks to use the H+/K+ ATPase Cre transgene mice, developed in our lab, directs Cre recombinase to the stomach commencing to both abrogate LKB1 and PTEN function in a stomach-specific manor to induce the development and metastatic progression of gastric adenocarcinomas, with similarities to human gastric adenocarcinoma. We also determine how these alterations contributes to gastric tumor histopathologic progression, invasive and metastatic potential, angiogenic and tumor stromal microenvironment. Meanwhile, information about responses in a bona fide GC model will likely contribute to interpreting those clinical results, are they positive or negative, and potentially might help guide further trial designs to combat stomach cancer
Semi-automated non-target processing in GC × GC–MS metabolomics analysis: applicability for biomedical studies
Full text linkDue to the complexity of typical metabolomics samples and the many steps required to obtain quantitative data in GC × GC-MS consisting of deconvolution, peak picking, peak merging, and integration, the unbiased non-target quantification of GC × GC-MS data still poses a major challenge in metabolomics analysis. The feasibility of using commercially available software for non-target processing of GC × GC-MS data was assessed. For this purpose a set of mouse liver samples (24 study samples and five quality control (QC) samples prepared from the study samples) were measured with GC × GC-MS and GC-MS to study the development and progression of insulin resistance, a primary characteristic of diabetes type 2. A total of 170 and 691 peaks were quantified in, respectively, the GC-MS and GC × GC-MS data for all study and QC samples. The quantitative results for the QC samples were compared to assess the quality of semi-automated GC × GC-MS processing compared to targeted GC-MS processing which involved time-consuming manual correction of all wrongly integrated metabolites and was considered as golden standard. The relative standard deviations (RSDs) obtained with GC × GC-MS were somewhat higher than with GC-MS, due to less accurate processing. Still, the biological information in the study samples was preserved and the added value of GC × GC-MS was demonstrated; many additional candidate biomarkers were found with GC × GC-MS compared to GC-MS. © 2010 The Author(s)
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