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•Radial movement optimization (RMO) based parameter extraction of solar photovoltaic cell.•Proposed RMO gives superior performance than particle swarm optimization and differential ...evolution technique methods.•The performance of the algorithm is evaluated by using statistical and error analysis.•RMO gives the strong curve fit to panel datasheet values.•RMO based extraction algorithm is validated on KC200GT solar panel.
A new swarm-based stochastic radial movement optimization (RMO) algorithm is proposed for extracting unknown solar photovoltaic (PV) cell parameters. The explicit modelling of a solar PV cell is shown to be very influential in the performance assessment of maximum power point tracking methods. The performance of the Single-Diode Model (SDM) and Double-Diode Model (DDM) of a Kyocera KC200GT 200 W panel was verified and validated under different test conditions in the MATLAB Simulink environment. The objective of this study was to validate the accuracy of solar PV cell modelling and determine the best optimization algorithm among the RMO, particle swarm optimization (PSO), and differential evolution technique (DET). The RMO-based I-V and P-V curves were compared with those obtained by the DET and PSO methods. Additionally, statistical and error analyses were carried out to calculate the relative error (RE), individual absolute error (IAE), and root mean square error (RMSE) of the proposed method for better analysis. With the RMO method, the IAE and RE for the DDM of the solar PV cell was 0.0224 and 0.0509, respectively. For the DDM, the fitness function value of the RMO was 3.01E−4. The performance of the RMO method was superior to that of the PSO and DET methods based on curve fitting for the SDM, DDM, and datasheet values. Curve fitting with the RMO strongly fitted the datasheet curve, which resembled the RMO curve, and is possibly a suitable optimization approach for extracting the parameters of the DDM of the solar PV cell.
In the present study, we report morphology dependent photocatalytic activity of CuO/ZnO nanorods by simple chemical synthesis for the first time. The nanorod morphology was clearly evidenced by field ...emission scanning electron microscope (FESEM) and hig resolution transmission electron microscope (HRTEM) analysis and confirmed the particle size of 20 nm. The composition and oxidation states of the CuO/ZnO nanorods were confirmed by XPS analysis. The potential efficacy of CuO/ZnO nanorods was evaluated towards the photocatalytic degradation of congo red (CR) and rhodamine B (RhB) dye solution. Very interestingly, the CuO/ZnO nanorods showed significantly superior photocatalytic activity compared to CuO, ZnO, a mixture of nano CuO and nano ZnO. The complete degradation of dye solution was successfully achieved within a short span of time. The effects of the different operational parameters viz amount of photocatalyst loading, initial concentration and pH were evaluated and the optimum condition for the superior activity was discovered. The prevention of the electron-hole pair recombination was strongly evidenced by photoluminescence (PL) analysis. Importantly, active involvement of hydroxyl radical in the photocatalytic degradation mechanism was strongly supported by the trapping experiments using different scavengers and fluorescence analysis. The CuO/ZnO nanorods photocatalyst also showed excellent degradation activity against the mixed dye solutions (CR and RhB). The stability and reusability results were clearly indicated that the sustainability of the CuO/ZnO nanorods in the photocatalytic reaction.
Schematic representation of photocatalytic degradation of CR and RhB dye solutions in the presence of CuO/ZnO nanorods under visible light irradiation. Display omitted
•Hierarchically structured CuO/ZnO nanorods were synthesized by simple precipitation method.•The photodegradation of dyes were performed against congo red and rhodamine b dye solution.•Favorable conditions for the degradation were optimized.•Main reactive oxidative species were found out by trapping experiment.
Glass ionomer cement (GIC) releases fluorides and has good biocompatibility, carbonated drinks, sometimes known as fizzy drinks, are carbonated liquids that contain dissolved carbon dioxide, ...sweeteners, and natural or artificial flavoring. The aim of our study is to determine the flexural strength of GIC after immersing in carbonated beverages. Twelve samples of GIC filling material were used among which six samples prepared were from the Dtech brand and six were prepared from the Shofu brand for the in vitro study. Bar-shaped specimens were prepared from each group with the dimension of 2 mm × 2 mm × 25 mm. They were immersed in Sprite, fizz drinks, and in distilled water as a control group. The immersion period was 7 days. Then, the determination of maximum force and displacement was done using INSTRON E3000 (ElectroPuls) universal testing machine, then the collected data were used to determine flexural strength. The mean flexural strength of Dtech GIC was 24.84 ± 6.523 Mpa. The mean flexural strength of Dtech GIC was 18.57 ± 11.60 Mpa. The independent sample t-test showed that P = 0.247 (>0.05) which was statistically not significant. The flexural strength of GIC material decreased after being immersed in Sprite and fizz drinks.
Abstract
The BiVO
4
photocatalyst plays a very important role in photocatalytic reactions attributed to its unique crystalline structure, size, morphology and surface area. Herein, we report a ...facet-dependent monoclinic scheelite BiVO
4
(m-BiVO
4
) photocatalyst with uniform truncated square (18 sided) hexagonal bipyramidal shape synthesized by a template-free and surfactant-free solvothermal method using ethylene glycol solvent under cost-effective and mild reactions. The structural, morphological and optical properties of the m-BiVO
4
photocatalyst are widely characterized. The photocatalytic activity of the m-BiVO
4
photocatalyst is tested towards 20 ppm methylene blue (MB) dye aqueous solution as a pollutant model under visible light irradiation. Enhanced visible-light driven photoactivity with dye degradation efficiency of approx. 91% at a rate of 0.388 × 10
−2
min
−1
is obtained, presumably due to the presence of high-active (040) facets. Zebrafish embryo toxicity test of treated MB dye solution reveals the degradation and toxicity reduction of the MB dye. Moreover, the recycling experiment validates that the m-BiVO
4
photocatalyst has a great structural stability with reliable performance. This work may provide a lucid and expedient strategy to synthesize highly crystalline (040) facet-dependent semiconductor photocatalyst toward dye degradation and obviously industrial wastewater remediation.
Nanogels are cross-linked hydrogel nanoparticles with a three-dimensional, tunable porous structure that merges the best features of hydrogels and nanoparticles, including the ability to retain their ...hydrated nature and to swell and shrink in response to environmental changes. Nanogels have attracted increasing attention for use in bone tissue engineering as scaffolds for growth factor transport and cell adhesion. Their three-dimensional structures allow the encapsulation of a wide range of hydrophobic and hydrophilic drugs, enhance their half-life, and impede their enzymatic breakdown
in vivo
. Nanogel-based scaffolds are a viable treatment modality for enhanced bone regeneration. They act as carriers for cells and active ingredients capable of controlled release, enhanced mechanical support, and osteogenesis for enhanced bone tissue regeneration. However, the development of such nanogel constructs might involve combinations of several biomaterials to fabricate active ingredients that can control release, enhance mechanical support, and facilitate osteogenesis for more effective bone tissue regeneration. Hence, this review aims to highlight the potential of nanogel-based scaffolds to address the needs of bone tissue engineering.
This review summarizes the potential of nanogel-based scaffolds to address the needs of bone tissue engineering.
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-organ failure in patients. Thanks to advances in machine learning and artificial intelligence, which ...enables theearly detection and diagnosis of DM through an automated process which is more advantageous than a manual diagnosis. Currently, many articles are published on automatic DM detection, diagnosis, and self-management via machine learning and artificial intelligence techniques. This review delivers an analysis of the detection, diagnosis, and self-management techniques of DM from six different facets viz., datasets of DM, pre-processing methods, feature extraction methods, machine learning-based identification, classification, and diagnosis of DM, artificial intelligence-based intelligent DM assistant and performance measures. It also discusses the conclusions of the previous study and the importance of the results of the study. Also, three current research issues in the field of DM detection and diagnosis and self-management and personalization are listed. After a thorough screening procedure, 107 main publications from the Scopus and PubMed repositories are chosen for this study. This review provides a detailed overview of DM detection and self-management techniques which may prove valuable to the community of scientists employed in the area of automatic DM detection and self-management.
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