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Phase change material (PCM) laden with nanoparticles has been testified as a notable contender to increase the effectiveness of latent heat thermal energy storage (TES) units during charging and discharging modes. In this study, a numerical model is developed and implemented based on the coupling between an advanced two-phase model for the nanoparticles-enhanced PCM (NePCM) and the enthalpy-porosity formulation for the transient behavior of the phase change. Therefore, a porosity source term is added to the nanoparticles transport equation to account for the particles' frozen state in regions occupied by solid PCM. This two-phase model includes three main nanoparticles' slip mechanisms: Brownian diffusion, thermophoresis diffusion, and sedimentation. A two-dimensional model of a triplex tube heat exchanger is considered and different charging and discharging configurations are analyzed. Compared to pure PCM, results show a substantial heat transfer enhancement during the charging and discharging cycle in which a homogeneous distribution of nanoparticles is considered as the initial condition. For this case, the two-phase model predictions are superior to the ones obtained with the classical single-phase model. In the case of multi-cycle charging and discharging, a significant deterioration of the heat transfer rate is observed using the two-phase model while such assessment is senseless using the single-phase mixture model due to the physical assumptions upon which this model is formulated. The two-phase model results reveal that, for a NePCM with high nanoparticles concentration (> 1%), the melting performance during the second charging cycle is reduced by 50% compared to the first one. This performance degradation is attributed to a noteworthy non-homogeneous distribution of the nanoparticles at the beginning of the second charging cycle. The dominant nanoparticles migration mechanism, in this scenario, is the one resulting from sedimentation effects.
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http://dx.doi.org/10.1038/s41598-023-34907-0 | DOI Listing |
Biotechnol Bioeng
December 2024
Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA.
An open-source modeling platform, called Anaerobic Digestion Model No. 1 Fast (ADM1F), is introduced to achieve fast and numerically stable simulations of anaerobic digestion processes. ADM1F is compatible with an iPython interface to facilitate model configuration, simulation, data analysis, and visualization.
View Article and Find Full Text PDFKidney Int
December 2024
Department of Nephrology, Graduate School of Medicine, Osaka University, Suita, Japan. Electronic address:
Red yeast rice, traditionally used in Asian cuisine and increasingly marketed as a dietary supplement for cholesterol management, has recently been linked to kidney dysfunction in Japan. In late 2023 to early 2024, multiple cases involving specific Beni-koji (red yeast rice) tablets from three different Beni-koji preparations, prompted a safety reevaluation. Although citrinin, a known nephrotoxin of red yeast rice, was not produced by the implicated strains, new safety concerns emerged.
View Article and Find Full Text PDFHealth Soc Care Deliv Res
December 2024
School of Applied Sciences, Edinburgh Napier University, Edinburgh, Scotland.
Objective: To use the job demands-resources model of occupational stress to quantify and explain the impact of working in critical care during the COVID-19 pandemic on nurses and their employing organisation.
Design: Two-phase mixed methods: a cross-sectional survey (January 2021-March 2022), with comparator baseline data from April to October 2018 (critical care nurses only), and semistructured interviews.
Participants: Critical care nurses ( = 461) and nurses redeployed to critical care ( = 200) who worked in the United Kingdom National Health Service (primarily Scotland) between January 2021 and March 2022.
J Chromatogr A
December 2024
Department of Pharmacy, Affiliated Hospital of Nantong University, No.20 Xisi Road, Nantong, Jiangsu 226001, PR China. Electronic address:
The joint use of deep eutectic solvents (DESs) and cyclodextrins (CDs) has been well demonstrated to have a promoting effect on chiral separation in capillary electrophoresis (CE). These studies focused on constructing synergistic separation systems by adding DESs and CDs to the buffer solution respectively. In this work, for the first time, β-cyclodextrin (β-CD), methyl-β-cyclodextrin (M-β-CD), and hydroxypropyl-β-cyclodextrin (HP-β-CD) were directly used as precursors to prepare several CDs-based deep eutectic supramolecules (DESUPs) by assembling with two organic acids (L-lactic acid and L-malic acid) in different ratios through a simple two-phase mixing.
View Article and Find Full Text PDFBackground And Aims: The rapid evolution of healthcare technology introduced telerehabilitation (TR) as a novel intervention model. TR employs information and communication technologies for remote healthcare delivery. The COVID-19 pandemic prompted a significant increase in TR usage, notably videoconferencing, among physiotherapists in Spain, offering a safe and viable alternative during mobility restrictions and temporary closure of physiotherapy centers.
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