1,025 research outputs found

    Investigations of lubricant rheology as applied to elastohydrodynamic lubrication

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    Traction prediction in sliding elastohydrodynamic (EHD) contacts was examined along with an elastohydrodynamic lubrication simulation of the effects of load and speed on temperatures in the EHD contact. An existing shear stress theory and lubricant rheological model were studied and evaluated by applying them to traction prediction. Results obtained using measured film thickness and surface temperature data, were compared with measured traction values. The infrared technique for measuring temperatures in an EHD contact was further developed and ball surface and fluid temperatures are reported for sliding speeds of 0.35 to 5.08 m/s at 0.52 to 2.03 GN/sq m maximum pressure and surface roughnesses of .011 to .381 micrometers c.1.a. The relationship between asperity interaction, as measured by relocation surface profilimetry and high frequency temperature measurements, and the ratio of film thickness to surface roughness was also studied

    Bio-rational insecticides toxicity against Liriomyza trifolii (Burgess) damaging Cantaloupes, Cucumis melo var. cantalupensis

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    Field experiments were conducted for two seasons (2015-16 and 2016-17) to evaluate bio-rational insecticides against leaf miner (Liriomyza trifolii) damaging cantaloupes and it was found that among various insecticides viz. spinosad [email protected]/l, abamectin 1.9EC @0.3ml/l, fipronil 5SC@2ml/l, fipronil [email protected]/l, cyantraniliprole 10OD@ 1.8ml/l, triazophos 40EC@2ml/l, diafenthiuron 50WP@1g/l, novaluron 10EC@1ml/l, neem [email protected]/l, pongamia [email protected]/l, azadirachtin 1%EC @5ml/l, abamectin (1.03-2.33 mined leaves/10ft row) and spinosad (1.18-3.33 mined leaves/10ft row) in both the seasons prove to be highly effective in minimising the damage. All the treatments had significant effect on the yield as compared to control but among treatments they were non-significant in first season which was not the case in second season where highest yield was noted in spinosad (11.43t/acre) followed by azadirachtin(9.79t/acre) and abamectin (9.67t/acre). Though there was variation in yield within these treatments but they were statistically on par with each other. Similarly the treatments were on par with each other with respect to number of fruits per vine, fruit weight, TSS and number of seeds set per fruit. The overall findings indicate that the molecules viz., abamectin and spinosad can be recommended to control leaf miner in cantaloupes to achieve an appreciable yield

    Growth-rate induced epitaxial orientation of CeO2 on Al2O3(0001)

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    High-quality CeO2 films were grown on Al2O3(0001) substrates using oxygen plasma-assisted molecular beam epitaxy. The epitaxial orientation of the films is found to be CeO2(100) and CeO2(111) at low ( \u3c 8 A/min) and higher growth rates ( \u3e 12 A/min), respectively. CeO2(100) film grows as three-dimensional islands, while CeO2(111) film grows as two-dimensional layers. The CeO2(100) film exhibits better epitaxial quality compared to CeO2(111) film. However, the CeO2(100) film on Al2O3(0001) shows three in-plane domains at 30 degrees to each other. While the epitaxial quality is attributed to the close match between oxygen sublattices of CeO2(100) and Al2O3(0001), the three in-plane domains in CeO2(100) are attributed to the threefold symmetry of the substrate. The relative stability of different epitaxial orientations of CeO2 films on Al2O3(0001) obtained from molecular dynamics simulations strongly supports the experimental observations

    10-MethĀ­oxyĀ­dibenzĀ­[b,f]Ā­azepine-5-carboxĀ­amide

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    The structure of the title compound, Csb 16Hsb 14Nsb 2Osb 2, contains a seven-membered ring that adopts a boat conformation, and the overall molecular shape is that of a butterfly. In the packing, the mol-ecules form a convoluted hydrogen-bonded polymer it via a typical it Rsb 2sp 2(8) graph-set dimer, between carbox-amide groups, and an it Rsb sp 2(16) graph-set dimer formed through an interaction between the second carbox-amide NH group and an adjacent methoxy O atom (in each mol-ecule). The dihedral angle between the benzene rings is 56.09(5)circ

    Analysis of the F2LR3 (PAR4) single nucleotide polymorphism (rs773902) in an Indigenous Australian population

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    The F2RL3 gene encoding protease activated receptor 4 (PAR4) contains a single nucleotide variant, rs773902, that is functional. The resulting PAR4 variants, Thr120, and Ala120, are known to differently affect platelet reactivity to thrombin. Significant population differences in the frequency of the allele indicate it may be an important determinant in the ethnic differences that exist in thrombosis and hemostasis, and for patient outcomes to PAR antagonist anti-platelet therapies. Here we determined the frequency of rs773902 in an Indigenous Australian group comprising 467 individuals from the Tiwi Islands. These people experience high rates of renal disease that may be related to platelet and PAR4 function and are potential recipients of PAR-antagonist treatments. The rs773902 minor allele frequency (Thr120) in the Tiwi Islanders was 0.32, which is similar to European and Asian groups and substantially lower than Melanesians and some African groups. Logistic regression and allele distortion testing revealed no significant associations between the variant and several markers of renal function, as well as blood glucose and blood pressure. These findings suggest that rs773902 is not an important determinant for renal disease in this Indigenous Australian group. However, the relationships between rs773902 genotype and platelet and drug responsiveness in the Tiwi, and the allele frequency in other Indigenous Australian groups should be evaluated

    Transcriptional profiles for distinct aggregation states of mutant Huntingtin exon 1 protein unmask new Huntington's disease pathways

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    Huntington's disease is caused by polyglutamine (polyQ)-expansion mutations in the CAG tandem repeat of the Huntingtin gene. The central feature of Huntington's disease pathology is the aggregation of mutant Huntingtin (Htt) protein into micrometer-sized inclusion bodies. Soluble mutant Htt states are most proteotoxic and trigger an enhanced risk of death whereas inclusions confer different changes to cellular health, and may even provide adaptive responses to stress. Yet the molecular mechanisms underpinning these changes remain unclear. Using the flow cytometry method of pulse-shape analysis (PulSA) to sort neuroblastoma (Neuro2a) cells enriched with mutant or wild-type Htt into different aggregation states, we clarified which transcriptional signatures were specifically attributable to cells before versus after inclusion assembly. Dampened CREB signalling was the most striking change overall and invoked specifically by soluble mutant Httex1 states. Toxicity could be rescued by stimulation of CREB signalling. Other biological processes mapped to different changes before and after aggregation included NF-kB signalling, autophagy, SUMOylation, transcription regulation by histone deacetylases and BRD4, NAD+ biosynthesis, ribosome biogenesis and altered HIF-1 signalling. These findings open the path for therapeutic strategies targeting key molecular changes invoked prior to, and subsequently to, Httex1 aggregation.This work was supported by grants to DMH from the Australian Research Council (grant number FT120100039); grants/fellowships from the National Health and Medical Research Council Project to DMH (grant numbers APP1049458, APP1049459 and APP1102059), and a grant from the Hereditary Disease Foundation (USA). AJH is an NHMRC Principal Research Fellow

    Istodobno spektrofotometrijsko određivanje losartan kalija, amlodipin besilata i hidroklorotiazida u farmaceutskim pripravcima kemometrijskom metodom

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    In the present work, four different spectrophotometric methods for simultaneous estimation of losartan potassium, amlodipine besilate and hydrochlorothiazide in raw materials and in formulations are described. Overlapped data was quantitatively resolved by using chemometric methods, classical least squares (CLS), multiple linear regression (MLR), principal component regression (PCR) and partial least squares (PLS). Calibrations were constructed using the absorption data matrix corresponding to the concentration data matrix, with measurements in the range of 230.5350.4 nm (āˆ†Ī» = 0.1 nm) in their zero order spectra. The linearity range was found to be 840, 15 and 315 Ī¼g ml1 for losartan potassium, amlodipine besilate and hydrochlorothiazide, respectively. The validity of the proposed methods was successfully assessed for analyses of drugs in the various prepared physical mixtures and in tablet formulations.U radu su opisane četiri spektrofotometrijske metode za istodobno određivanje losartan kalija, amlodipin besilata i hidroklorotiazida u sirovinama i farmaceutskim pripravcima. Podaci koji su se preklapali kvantitativno su razlučeni kemometrijskim metodama, klasičnom metodom najmanjih kvadrata (CLS), multiplom linearnom regresijom (MLR), regresijom glavnih komponenata (PCR) te metodom parcijalnih najmanjih kvadrata (PLS). Kalibracije su provedene koristeći podatke o ovisnosti apsorpcije o koncentracijama, mjereći spektre nultog reda u rasponu 230,5350,4 nm (āˆ†Ī» = 0,1 nm). Linearnost za losartan kalij bila je 840, za amlodipin besilat 15, a za hidroklorotiazid 315 Ī¼g ml1. Valjanost predloženih metoda uspjeÅ”no je potvrđena analizom navedenih lijekova u različitim pripremljenim smjesama i tabletama

    A practical, bioinformatic workflow system for large data sets generated by next-generation sequencing

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    Transcriptomics (at the level of single cells, tissues and/or whole organisms) underpins many fields of biomedical science, from understanding the basic cellular function in model organisms, to the elucidation of the biological events that govern the development and progression of human diseases, and the exploration of the mechanisms of survival, drug-resistance and virulence of pathogens. Next-generation sequencing (NGS) technologies are contributing to a massive expansion of transcriptomics in all fields and are reducing the cost, time and performance barriers presented by conventional approaches. However, bioinformatic tools for the analysis of the sequence data sets produced by these technologies can be daunting to researchers with limited or no expertise in bioinformatics. Here, we constructed a semi-automated, bioinformatic workflow system, and critically evaluated it for the analysis and annotation of large-scale sequence data sets generated by NGS. We demonstrated its utility for the exploration of differences in the transcriptomes among various stages and both sexes of an economically important parasitic worm (Oesophagostomum dentatum) as well as the prediction and prioritization of essential molecules (including GTPases, protein kinases and phosphatases) as novel drug target candidates. This workflow system provides a practical tool for the assembly, annotation and analysis of NGS data sets, also to researchers with a limited bioinformatic expertise. The custom-written Perl, Python and Unix shell computer scripts used can be readily modified or adapted to suit many different applications. This system is now utilized routinely for the analysis of data sets from pathogens of major socio-economic importance and can, in principle, be applied to transcriptomics data sets from any organism
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