Showing papers by "Hydro-Québec published in 2022"
TL;DR: In this paper, the authors focused on the general status of heavy metal contamination of soils, including the excessive heavy metal concentrations in crops and the assessment of the recent advanced technologies and future challenges.
153 citations
TL;DR: In this article, the authors examined the possibility on the application of rice hulls powder as biosorbent for the elimination of heavy metal ions (chromium, lead, and zinc) existing in the aqueous solutions.
47 citations
TL;DR: In this paper, a novel n-p-n junction was applied as the photocatalyst in drifting the mobility of charge carriers and hence obtaining the better photocatalytic activity when compared with p-n and pure system.
41 citations
TL;DR: In this paper, the state-of-the-art research work on metal organic frameworks (MOFs) in photocatalytic water treatment technique is presented, where the authors discuss the improvement of photocatalyst performance of MOF by the incorporation of metals, metal coupled with nanoparticles like polymers, graphene, etc., into it to achieve the enhanced photocatalysis activity by scavenging entire chemicals and harmful microbes to retain the quality of water.
28 citations
TL;DR: In this article , a prospective cluster-based analysis of treatment-naive patients with retinoblastoma who were diagnosed between Jan 1, 2017 and Dec 31, 2017, then treated and followed up for 3 years was performed.
11 citations
TL;DR: In this article, a review article emerged with an interest towards the carbon nitride's activeness in the visible region as an effective photocatalyst in the photoreduction of carbon dioxide.
Abstract: Worldwide air pollution caused a severe damage to ecosystem by the emission of greenhouse gases. The emission percentage of principal greenhouse gas- carbon dioxide, other gases methane, fluorinated gases and nitrous oxide still not decreased even after the Covid-19 pandemic lockdown. In this regard, many research works were reported on the techniques involved to convert the principal greenhouse gas- carbon dioxide into useful sustainable energy fuel. The advancement in the field of nanoscience and nanotechnology, nanomaterials are used as a photocatalyst to produce energy from greenhouse gas. Carbon nitride is a semiconductor with high stability to produce quantum confinement and reducing the recombination rate of charges, with the introduction of external nanoparticles. It was available in the reports hybrid carbon nitride nanocomposite was employed to reduce the carbon dioxide into valuable products. This review article emerged with an interest towards the carbon nitride’s activeness in the visible region as an effective photocatalyst in the photoreduction of carbon dioxide. Past six years research progress in developing carbon nitride's features to enhance its role in energy production by performing carbon dioxide reduction were given in detail.
9 citations
TL;DR: Simulation results for these cases show that considering the set of critical lines allows the proposed VO-SOTS model to reduce generation costs while effectively minimizing system vulnerability and risk.
7 citations
TL;DR: In this article , the influence of various carbon, nitrogen sources, inducers, and different agro-wastes on the growth and ligninolytic enzyme activities of Morchella spongiola (MR17) was studied.
Abstract: The influence of various carbon, nitrogen sources, inducers, and different agro-wastes on the growth and ligninolytic enzyme activities of Morchella spongiola (MR17) was studied. This fungus has grown well in mineral salts broth containing mannitol as the carbon and yeast extract as the nitrogen sources. In presence of inducers, the growth was inhibited compared to control. The carbon and nitrogen sources and the inducers affected the laccase activity of M. spongiola. Rhamnose and galactose supported the laccase activity more than other carbon sources tested. The manganese peroxidase (MnP) and versatile peroxidase (VP) activities were not detected in the medium amended with different carbon and nitrogen sources. The inducers, ABTS, and veratryl alcohol enhanced the laccase activity more than others. The MnP activity was maximum in wheat straw, followed by rice straw and phenol red. Maximum VP activity was observed in wheat straw, and rice straw, followed by veratryl alcohol. The protein content increased significantly in groundnuts shell and wheat grain substrates inoculated with M. spongiola. Wheat grains and wheat bran served as the most promising substrates with maximum lignocellulolytic activity. The laccase activity was higher in wheat grains and wheat bran, while VP and MnP activities were higher in rice straw and wheat straw. The cellulase activity was much less compared to other enzyme activities in all the substrates. Maximum lignin degradation was observed in wheat straw, followed by wheat bran. The cellulose degradation was significantly higher in groundnuts shell compared to other substrates. The present study results suggest that M. spongiola can utilize these substrates, induce enzyme activities, and have the potential for mushroom cultivation.
3 citations
TL;DR: In this paper, a solution to predict the runner strain signals by independently interpolating each physical phenomenon over different turbine operating conditions using cyclostationary decomposition operators is proposed. But, the results are limited to the case of a single turbine.
3 citations
TL;DR: In this article, the importance of capillary suction was emphasized through its implementation in a hygrothermal transport model used to predict water transport in ordinary concrete, where heat transfer is described by the classical Fourier equation and the homogeneous vapor diffusion is modeled using a gradient-driven Fick's law.
Abstract: In this study, the importance of capillary suction was emphasized through its implementation in a hygrothermal transport model used to predict water transport in ordinary concrete. In the model, heat transfer is described by the classical Fourier equation. In addition, the homogeneous vapor diffusion is modeled using a gradient-driven Fick's law, and the local kinematics of the liquid capillary flow are illustrated by a pressure-driven Darcy's law. Mathematical operations were performed to obtain a combined governing equation for water transport, but with different transport coefficient expressions under different circumstances. The complete hygrothermal transport model was discretized in a 2D finite element program (TransChlor2D) and solved using an explicit and one-way coupling scheme. Experimental methods and analytical formulas were used to assess the hygrothermal transport parameters, and the model was validated with various durability tests, demonstrating its ability to capture the impact of capillary flow on water content profiles.
3 citations
TL;DR: In this article, the authors present an inverse methodology relying on finite element simulation based optimization to extract material constitutive parameters from a single spherical indentation, which are used to estimate its bulk true stress-true strain curve.
TL;DR: In this article, the authors developed a technical basis of the impulse-response test for condition assessment and improved its diagnostics for concrete plates, and used it for concrete plate condition assessment.
Abstract: The objective of this research is to develop a technical basis of the impulse-response test for condition assessment and to improve its diagnostics for concrete plates. Impulse-response tes...
07 Mar 2022
07 Mar 2022
07 Mar 2022
02 Jul 2022
TL;DR: In this article , the differential rater function over time (DRIFT) has not been evaluated when using the standardised global rating scale (GRS) during simulations during simulations.
Abstract: Background: The field of paramedicine continues to advance in scope. Simulation training is frequently used to teach and evaluate students. Simulation examinations are often evaluated using a standardised global rating scale (GRS) that is reliable and valid. However, differential rater function over time (DRIFT) has not been evaluated when using the GRS during simulations. Aims: This study aimed to assess if DRIFT arises when applying the GRS. Methods: Data were collected at six simulation evaluations. Raters were randomly assigned to evaluate several students at the same station. Each station lasted 12 minutes and there was a total of 11 stations. A model to test DRIFT scores was created and was tested against both a leniency and perceptual model. Findings: Of the models explored, one that included students, the rater, and the dimensions had the greatest evidence (−3151 Bayes factors). This model was then tested against leniency (K=−9.1 dHart) and perceptual models (K=−7.1 dHart). This suggests a substantial finding against DRIFT; however, the tested models used a wide parameter so the possibility of a minor effect is not fully excluded. Conclusion: DRIFT was not found; however, further studies with multiple centres and longer evaluations should be conducted.
07 Mar 2022
01 Dec 2022
03 Mar 2022