63 research outputs found
The Effects of CO2-Enriched Water Irrigation on Agricultural Crop Growth
No full textCO2, a major industrial (waste)water treatment process byproduct, significantly contributes to climate change, desertification and overall water depletion. Therefore, there is a significant interest in decreasing CO2 amounts, generated by various technological processes, through a wide range of methods from geological sequestration to biological sequestration. The CO2 (waste)water treatment byproduct sequestration into agricultural CO2-enhanced irrigation water offers several benefits by enhancing crop yield and repurposing emissions. This sustainable approach supports climate neutrality via biological sequestration, promotes circular economy principles, and strengthens the link between agriculture and climate change. In this study, the effect of CO2-enriched water irrigation was analyzed in a complex network of plants germination, soil bacterial populations’ dynamics and soil composition. Results showed that germination rates of plants irrigated with CO2-enriched water were species specific. Sage plants increased their germination and growth when irrigated with CO2-enriched water compared with plants irrigated with plain water. Moreover, CO2 addition favored the development of soil anaerobic bacteria in detriment of aerobic bacteria and subsequently changing organic and nitrogenous compounds soil composition compared to plain water irrigation. For the first time, the germination process influenced by CO2 was correlated with on overall possible CO2 effects on bacterial population growth dynamics and soil quality metabolites availability
SBAS and PS Measurement Fusion for Enhancing Displacement Measurements
No full textA major drawback of classical SAR interferometry is its sensitivity to temporal and geometric effects, leading to a distortion of the final results. This problem can be solved by using multi-temporal techniques, like the Small Baseline Subset and Persistent Scatterers algorithms. Both use large datasets for monitoring land cover deformation, motion or for DEM generation. Despite the fact that using the Persistent Scatterers technique can lead to a maximization of the number of acquisitions used, the number of persistent points is greatly reduced by a decrease of the coherent values of the targets over time. In this article, the authors propose a method for the selection of temporal persistent points using image subsets that comply with the small baseline rule. This method is further used to increase the accuracy of deformation measurements over the subsets' time span
Comparative Assessment of multi-temporal InSAR Techniques for Generation of Displacement Maps: A Case Study for Bucharest Area
No full textThis paper presents a comparative assessment of Synthetic Aperture Radar interferometric techniques (InSAR) that allow the detection of deformation models along the line-of-sight of the radar. Given the susceptibility of these methods to several limitations that act as noise effects in the interferograms, known as decorrelation phenomena, multi-temporal InSAR techniques have been used for the
exploiting of phase information acquired over long time intervals
Original Paper Considerations Regarding Therapeutic Behaviour in Candida Vaginitis
No full textABSTRACT The work draws the attention to an issue of the day regarding gynecology medical practice. There are mentioned some information items regarding candida albicans. The study refers to a group of 350 de patients with recurrent candida vaginitis. The completely different behaviour of usual antifungicals in treating this affection is presented
A new class of control structures for heterogeneous reactive distillation processes
No full textThere are only a handful of process control structures applied to the neat operation of both homogeneous and heterogeneous reactive distillation, for two-reactants / two-products one-reaction systems. All of these control structures employ inferential temperature control (or concentration analyzers) at some location in the column to balance the reaction stoichiometry. This original study proposes a new class of control structures applicable to heterogeneous reactive distillation. The novel idea, common to all control structures, is based on monitoring the inventory of the reactant involved in the heterogeneous azeotrope. The organic reflux (or the organic reflux / aqueous distillate ratio) is used to detect the excess or deficiency of the reactant, based on which the fresh feed rate is adjusted such that the reaction stoichiometry is balanced. This control philosophy is simple and easy to implement in different ways as illustrated by several case studies. The performance of the proposed control structures depends on the system studied. For some systems, the performance is better, as good or nearly as good as that of the literature control structures. But for other systems, the performance is poor or the structure even fails to control the process, due to the insufficient feedback from inventory measurements.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.ChemE/Product and Process Engineerin
T1 and T2 mapping for evaluation of myocardial involvement in patients with ANCA-associated vasculitides
No full textAbstract
Background
Myocardial involvement in AAV patients might be silent, presenting with no or nonspecific symptoms, normal ECG, and preserved left-ventricular ejection fraction (LV-EF). Since up to 50% of deaths in these patients may be due to myocardial involvement, a reliable diagnostic tool is warranted. In contrast to LGE-CMR, which has its strengths in detecting focal inflammatory or fibrotic processes, recent mapping techniques are able to detect even subtle, diffuse inflammatory or fibrotic processes. Our study sought to investigate ANCA (antineutrophil cytoplasmic antibody) associated vasculitides (AAV) patients for myocardial involvement by a cardiovascular magnetic resonance (CMR) protocol, including late gadolinium enhancement (LGE) and mapping sequences.
Methods
Thirty seven AAV patients were prospectively enrolled and underwent CMR imaging. Twenty healthy volunteers served as controls.
Results
Mean LV-EF was 64%; LGE prevalence of the AAV patients was 43%. AAV patients had higher median native T1 (988 vs. 952\ua0ms, p \u2009<\u20090.001), lower post-contrast T1 (488 vs. 524\ua0ms, p \u2009=\u20090.03), expanded extracellular volume (ECV) (27.5 vs. 24.5%, p \u2009<\u20090.001), and higher T2 (53 vs. 49\ua0ms, p \u2009<\u20090.001) compared to controls, with most parameters independent of the LGE status. Native T1 and T2 in AAV patients showed the highest prevalence of abnormally increased values beyond the 95% percentile of controls.
Conclusion
AAV patients demonstrated increased T1, ECV, and T2 values, with native T1 and T2 showing the highest prevalence of values beyond the 95% percentile of normal. Since these findings seem to be independent of LGE, mapping techniques may provide complementary information to LGE-CMR in the assessment of myocardial involvement in patients with AAV
Class evolution data analytics from sar image time series using information theory measures
No full textDamage Assessment based on SAR image analysis
No full textDamages caused by earthquakes, floodings, etc. can be assessed by analysis of SAR images taken from satellites
A spectral space-variant approach for structure indexing in Spotlight TerraSAR-X data
No full textModern space missions equipped with SAR instruments provide high spatial resolution data. In such data features of urban objects, man-made structures, as well as natural targets can be identified. We propose a descriptive model based on the frequency spectra of the complex signal, that integrates the radiometric, geometric, and texture features, for scene and target indexing, to cope with the problem of large database queries and information retrieval
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