117,338 research outputs found
Data for: Zircon provenances provide paleogeographic constraints on models reconstructing the Paleoproterozoic Nuna Supercontinent
Detrital zircon U-Pb-Hf isotopic compositions of Paleoproterozoic sedimentary units of the North Australian Craton. This study is based in data previously published in: Iaccheri, L.M., Kemp, A.I.S., EIMF, 2018. Detrital zircon age, oxygen and hafnium isotope systematics record rigid continents after 2.5 Ga. Gondwana Res. 57, 90–118. https://doi.org/10.1016/j.gr.2018.02.00
Data for: Composite basement along the southern margin of the North Australian Craton: evidence from in-situ zircon U-Pb-O-Hf and whole-rock Nd isotopic compositions
Results zircon U-Pb geochronologyResults zircon O isotopic compositionsResults zircon Hf isotopic compositionsResults whole-rock Nd isotopic compositions of hosting granitic rock
Simply Time Domain Reflectometry system for food analysis
Effectiveness of a simple Time Domain Reflectometry instrumental chain was tested by using different sodium chloride concentration.The layout is quite simple and economic, the software user friendly and the measurements rapid.An innovative approach for the statistical analysis of these kind of signals was implemented, accounting for multivariate analysis of the waveform, replacing the traditional mathematical theory.Good results in terms of coefficient of determination for sodium chloride estimation were obtained with R2 0.942 (RMSE 0.18 g/100ml) for simple linear regression and R2 0.983 (RMSE 0.10 g/100ml) for PLS analysis.The results obtained show how a cheap, rapid, and easy to use instrumental chain can be very promising for determinations of foodstuff parameters
Data for: Zircon provenances provide paleogeographic constraints on models reconstructing the Paleoproterozoic Nuna Supercontinent
Detrital zircon U-Pb-Hf isotopic compositions of Paleoproterozoic sedimentary units of the North Australian Craton. This study is based in data previously published in: Iaccheri, L.M., Kemp, A.I.S., EIMF, 2018. Detrital zircon age, oxygen and hafnium isotope systematics record rigid continents after 2.5 Ga. Gondwana Res. 57, 90–118. https://doi.org/10.1016/j.gr.2018.02.001THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
Non-Destructive Assessment of Kiwifruit Flesh Firmness by a Contactless Waveguide Device and Multivariate Regression Analyses
Non-destructive and cheap methods to evaluate the slow ripening process with possible on-line applications are highly required by the industry to enhance critical post-harvest management. After a brief review of the literature, we present the potentiality of an electronic contactless device for the non-destructive assessment of the Magness-Taylor flesh firmness (Mtf) of Hayward kiwifruits. The technique combines spectral information acquired in the microwave range by an open-ended aluminum waveguide containing TX and RX antennas, placed above the sample, with the features of the multivariate analysis. The electronic controller comprises a VCO, a low noise amplifier, a gain-phase comparator, and a serial interface governed by an MCU. Partial Least Squares regression analysis (PLS) was used to build predictive models starting from gain and phase waveforms raw data in the 947-1900 MHz frequency range. The main results evidenced that explored spectra variability is related to changes occurring in the fruit during the maturity process and particularly to the cell wall degradation. PLS regression models show, in prediction, R2 values of 0.726 (RMSE = 5 N) for the estimation of the Mtf starting from gain waveforms. A lower accuracy was observed for the model setup by considering phase waveforms. These results demonstrate that the proposed non-invasive solution combined with the PLS is a grounded starting point for estimating kiwifruit firmness with an acceptable level of accuracy
Sets di oligonucleotidi sintetici specifici per l’identificazione e la tipizzazione dei virus Polioma SV40, BK e JC, mediante la tecnica di nested PCR ed ibridazione molecolare.
La presente invenzione si riferisce a nuovi oligonucleotidi sintetici specifici per l’identificazione e la tipizzazione dei virus Polioma SV40, BK e JC ed al loro uso, in combinazione con oligonucleotidi e oligosonde interne noti, nella tecnica di nested PCR ed ibridazione molecolar
The presence of simian-virus 40 sequences in mesothelioma and mesothelial cells is associated with high levels of vascular endothelial growth factor (VEGF)
The aim of this study was to evaluate whether the presence of simian virus-40 (SV40) is associated with increased release of vascular endothelial growth factor (VEGF) in human malignant mesothelioma (MM) cells. We studied nine cell lines derived from pleural effusion (PE) of patients with MM, and three different cultures of normal human mesothelial cells (NHMC) derived from pleural fluid of patients with congestive heart failure. NHMC were transfected with full length SV40 (NHMC-FL) or large T antigen (NHMC Tag) DNAs. High levels of VEGF were detected in conditioned media of each of two MM cells that tested positive for SV40 by PCR amplification and Southern blot hybridization and for Tag transcript by reverse transcription-polymerase chain reaction (RT-PCR) and immunoprecipitation. We also found that NHMC-FL released high amounts of VEGF. Conditioned media from SV40-positive MM cells and from FL-NHMC increased proliferation of human umbilical vein cells (HUVEC) and this effect was partially abrogated by adding specific blocking antibodies against VEGF. These results offer the first evidence that SV40 can cause VEGF release in SV40-positive MM cells and that entire viral genome is required for this effect
Microwave cavity antenna for automatic detection of chicken breast muscles affected by wooden breast defect
Over the past years, artificial selection for meat-type (broiler) chickens has resulted in improved production efficiency, but also in an increased incidence of skeletal muscle abnormalities. In particular, wooden breast (WB) abnormality causes abrupt changes in meat quality and enormous economic losses. Thus, the poultry processing industry requires a reliable method to detect the abnormality in production lines in a non-destructive and contactless way. The present research aimed to evaluate the effect of WB on dielectric properties to develop a potential online technique to distinguish unaffected from affected breasts. Sixty-five pectoralis major muscles were picked 3 h post-mortem from the same flock (42-day-old broilers, 2.8 kg average live weight) and classified by visual inspection according to their phenotype as normal (N, not showing not any signs of the WB condition; n = 33) or WB (exhibiting extensive hardened areas and stiffness perceived by manual palpation throughout the entire fillet; n = 32). WB muscles exhibited remarkably higher values of dielectric constant and loss factor in a wide range of the explored frequencies (200 MHz–14 GHz), suggesting higher water mobility and a higher solvate capacity; this makes the electromagnetic technique for classification promising. Based on the above evidence, a rapid microwave electric technique in the range 1.5 GHz–3 GHz was developed for the online detection of WB. Indeed, combining the use of a cavity antenna (vector network analyzer instrumental chain with partial least square – discriminant analysis), this technique correctly classified 100% of the validation test set
Physical Stability of Frozen Eggplant: Emphasis on State Diagram, Sorption, Thermal, Mechanical, and Dielectric Properties
The frozen eggplant was studied using absorption isotherms, measured by using saturated salt solution in desiccator chamber (DES) and the Dynamic Vapor Sorption (DVS) instrument. Melting temperature and glass transition temperature were determined by differential scanning calorimetry (DSC), while mechanical properties were determined by a compression test. In addition, dielectric properties were assessed by means of two instrumental chains to cover a wide frequency range of radiofrequencies. Absorption fitting was able to estimate unfreezeable water content, while the dynamic instrument showed a hysteresis between adsorption and desorption, confirming amorphous materials' presence in the products. Thermograms revealed two phase transition apparent T-g(III) and T-g(II) affected by the plasticizing effect of water. Mechanical properties confirmed the water influence on structures, as Fermi model fitting (R-2 = 0.984, RMSE = 3.9 N) shown. Dielectric properties were carried out to allow the description of three main dispersion alpha, beta, and gamma relaxations. State diagram was developed to show different zones corresponding to possible physical structures
Data fusion of FT-NIR spectroscopy and Vis/NIR hyperspectral imaging to predict quality parameters of yellow flesh “Jintao” kiwifruit
The internal quality of kiwifruit, in terms of soluble solid content (SSC), flesh firmness (FF), and dry matter (DM), is widely recognised as a key feature for fruit sorting and pre-harvest assessment. Furthermore, flesh hue (FH) is another important parameter to consider for yellow flesh kiwifruits. NIR and VIS/NIR spectroscopic techniques are valuable alternatives for rapid and non-destructively prediction of all these quality parameters in fruit. Accordingly, the aim of this work was to build a partial least square (PLS) regression models to estimate SSC, FF, FH, and DM of yellow fleshed Actinida chinensis (Jintao) starting from Vis/NIR hyperspectral imaging (400–1000 nm) and FT-NIR (800–2500 nm) spectroscopy data. To take advantage of the complementary information of the two different spectral ranges, data fusion strategies were investigated to concatenate the data before PLS models. In particular, two different sequential fusion methods were used: low-level data fusion based on the concatenation of the pretreated spectra, and mid-level feature fusion characterised by the concatenation of features (scores) obtained by principal component analysis (PCA) or PLS models developed considering individually each data set. For all quality parameters, the best results were achieved by adopting the second approach of mid-level data fusion (PLS scores), reporting (test set validation) of 0.914 (RMSEP=0.97°Brix), 0.843 (RMEP=1.82°H), 0.866 (RMSEP=9.41N), and 0.854 (RMSEP = 0.64%) for SSC, FH, FF, and DM, respectively. Furthermore, with respect to the PLS models from the individual data sets, the results reported a mean RMSEP reduction of 16.0 ± 4.8%, confirming the potential of the data fusion in improving the PLS prediction power for the quality parameter of kiwifruit
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