Notes

Impact associated with COVID-19 crisis constraints on the cardio-respiratory wellness of recent Zealanders.
[This corrects the article DOI 10.1016/j.heliyon.2020.e04140.].Optimization of process parameters for the regeneration of used mobil oil by acid/clay method using sulphuric acid as washing agent was successfully carried out. Used mobil oil was characterized before and after regeneration to determine the changes in the physicochemical properties of the oils. The viscosity, flash point and fire point of the oil increased after regeneration while the specific gravity and sulphur content decreased. The Atomic Absorption Spectrometry (AAS) carried out revealed the presence of eight different metals in the fresh mobil whose concentration increased during use but reduced after regeneration. The FTIR instrumentation analysis revealed that the used mobil oil has high concentration of some ester groups, aromatic materials, glycol and sulphur oxidation products while the proportion of these materials plunged significantly after treatment. Changes in the process conditions like acid concentration, settling time and bleaching temperature affected the effectiveness of the regeneration process by affecting the desired changes in the physicochemical properties. The process parameters were optimized using Central Composite Rotatable Design (CCRD) of Response Surface Methodology (RSM), with the aid of design expert. The design, which use purity as the response of the experiment, considered three independent factors of acid concentration, settling time and bleaching temperature; and the effects of these factors on the response are significant since their P-values are less than 0.05. An optimum theoretical purity of 0.86 was obtained at 6.5mol/lit acid concentration, 5.5hours settling time and 95.5 °C bleaching temperature, which agreed excellently with 0.85 actual purity obtained at the same conditions. Therefore, the regenerated mobil oil at these optimal conditions is capable of meeting commercial expectations.The nanoparticles of Cobalt ferrite are synthesized using polyethylene glycol as a solvent by the solvothermal method in a surfactant-free condition. find more Nanoparticles that were synthesized were determined by using various techniques such as Diffuse Reflection Spectroscopy (DRS), X-Ray Diffraction (XRD), Scanning Electron Microscope (SEM), and Energy Dispersive X-ray spectroscopy (EDAX). The Scanning electron microscope confirmed the range of spherical nanoparticles in the size of 20-33 nm.An excellent match was observed between the calculated particles size in the X-ray diffraction and electron microscopes results. Furthermore, their antimicrobial efficacy was determined by MIC, MBC, IC50 and disc diffusion method on Gram-negative (Pseudomonas aeruginosa and Escherichia coli) and Gram-positive (Staphylococcus aureus, Bacillus cereus) bacteria. The results indicated an acceptable bacteriostatic and bactericidal effects of this nanoparticles. Additionally, it was seen that by the increase in the concentration of n, CoFe2O4 nanoparticles exhibited potent antibacterial activity against the bacteria that were examined, especially Bacillus cereus. The MBC (Minimum Bactericidal Concentration) of CoFe2O4 nanoparticle on Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, Bacillus cereus was between 0.12-0.48 mg/ml and MIC (Minimum Inhibition Concentration) on these bacteria detected between 0.06-0.24 mg/ml. The least IC50 determined for Bacillus cereus with a concentration of 0.061 mg/ml. Pseudomonas aeruginosa and Bacillus cereus identified as the most resistant and sensitive bacteria in the disc diffusion method, respectively.As an important thermophysical property, polymers' glass transition temperature, Tg, could sometimes be difficult to determine experimentally. Modeling methods, particularly data-driven approaches, are promising alternatives to predictions of Tg in a fast and robust way. The molecular traceless quadrupole moment and molecule average hexadecapole moment are closely correlated with polymers' Tg. In the current work, these two parameters are used as descriptors in the Gaussian process regression model to predict Tg. We investigate 60 samples with Tg values from 194 K to 440 K. The model provides rapid and low-cost Tg estimations with high accuracy and stability.The rate of teenage pregnancy remains unacceptably high in most developing countries. In Rwanda, studies show a rapid increase over the past two decades despite the political achievements of women's empowerment, and efforts to curtail child sexual abuse. Unfortunately, the current knowledge of the household determinants of teenage pregnancies in Rwanda is limited, as recent studies have focused on providing numbers with little analysis of proximate causal factors or focused on the individual determinants. The study uses secondary data from the recent Rwanda Demographic and Health Survey (RDHS 2014-2015) to analyse household factors associated with teenage pregnancies in Rwanda. In addition to descriptive analysis, we ran logistic regression models to determine the level of association between teenage pregnancy and household socioeconomic characteristics. Results indicate that marital status and age of household head, household size, number of bedrooms given the size of the household, and the educational level of the household-head are significantly associated with teenage pregnancy (p less then 0.01). Teen girls from small households are more likely to get pregnant than those from large families, while financial, social and educational empowerment of parents, and harmonious household contexts contribute to lessening the cases of teenage pregnancy. It indicates that social and economic support to teen girls which include parental supervision, guidance, and financial care are essential aspects to consider in order to reduce teenage pregnancy rates. The study suggests that in addition to efforts directed to teens themselves, strategies for reducing teen pregnancies should focus on a range of household-level contexts that form two broad categories empowering parents and maintaining parents' harmonious decisions on teen girls.
Ischemic stroke can occur due to disruption of blood and oxygen supply to brain tissue. White blood cells and platelets play an important role in the pathogenesis of ischemic stroke. Several studies have concluded that the lower the platelet count and the higher the number of white blood cells in ischemic stroke patients will result in a more severe stroke and had worsen prognosis. Platelet and white blood cells counts can be converted into Platelet-to-White Blood Cell Ratio (PWR) which is a comparison between the number of platelets and white blood cells, so the higher PWR will provide better clinical outcomes. Here, we examined correlation between PWR and clinical outcome in acute ischemic stroke using NIHSS tools.

This research method was a retrospective analytic from 503 medical records of ischemic stroke patients from January 2015 to December 2017. Ischemic stroke divided into 2 groups cardioembolic stroke and atherothrombotic stroke based on medical records. We calculated PWR and National Institute of Health Stroke Scale (NIHSS) for assessing clinical outcome.
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