Hougaardbowles0621

Results After the intervention, the mean [Standard Deviation (SD)] score of the overall quality of prenatal care in the intervention group was significantly higher than that of the control group [mean (SD) = 1.51 (0.49) vs. 0.05 (0.21); t43,12= 18.7, p less then 0.001]. Conclusions It seems that improving the well-being of midwives through positive psychology interventions is effective on the quality of prenatal care provided by them. Copyright © 2020 Iranian Journal of Nursing and Midwifery Research.Background There are standard guidelines for the provision of health care for pregnant women in prisons. There is no single guide to meet all the specific needs of imprisoned women. In this study, the related international guidelines were reviewed to reveal the existing gaps. Materials and Methods In this narrative review, studies published from May 2010 to January 2019 were reviewed through investigating databases including PubMed, Scopus, the Cochrane Library database as well as Science Direct Google Scholar using keywords Guideline AND Prison AND Pregnancy AND Prenatal Care. The contents of the guidelines were subjected to analogy comparison. Results 13 guidelines were included in the study. Of these, 10 guidelines were related to the organizations deployed in the USA, two guidelines to the United Nations and the World Health Organization, and one guideline to the United Kingdom. The most comprehensive care coverage of pregnant women was suggested, at the first level, by Birth Champion and in the second level by the Federal Bureau of Prisons. The care recommended in the guidelines was classified into four general categories of health care, safety and security, education and counseling, as well as miscellaneous issues. Most of the care items mentioned in the guidelines were related to the issue of safety and security of pregnant women. Conclusions There are currently gaps in the guidelines in many aspects including maternal and fetal health assessments, mental health care, and also ethical and communication issues. It is essential to upgrade the guidelines provided for imprisoned women to promote their health. Copyright © 2020 Iranian Journal of Nursing and Midwifery Research.The RITY-2 phenology model was developed for the spatiotemporal simulation of the seasonal development of European spruce bark beetle, Ips typographus. RITY-2 is based on the PHENIPS model and was developed through improving PHENIPS with innovative approaches and calibrating and validating it for Slovenia. RITY-2 predictions are based on air temperatures from Integrated Nowcasting through a Comprehensive Analysis (INCA) system, which is used to calculate the effective bark temperature for beetle development. In this paper we describe the calculation procedure for RITY-2.•INCA enables high resolution spatial and temporal simulations and predictions.•An innovative procedure was introduced that finds the most appropriate spring date threshold from which the calculation of the phenological model is initiated.•Simplified and customized linear models for calculation of the air temperature in the forest and bark temperatures were developed. selleck kinase inhibitor © 2020 The Author(s). Published by Elsevier B.V.A new Solid Waste and Wastewater (SWW) management software is presented for optimizing the life-cycle of emissions with carbon credit cost considerations. The software is the first to combine integrated solid waste and wastewater management systems under a single framework when introducing a food waste disposer (FWD) policy. The model/software offers a platform encompassing several tools for life cycle emissions accounting, optimization, as well as economic, policy, and sensitivity analysis. It provides the flexibility of selecting processes or modifying input parameters, as well as disaggregating emissions depending on the scope of accounting. The graphical user interface is applicable in the context of developed and developing economies with the ultimate objective to assist decision makers to allocate expenditures for emissions mitigation measures. © 2020 The Author(s). Published by Elsevier B.V.We have developed a method that combines chemical reduction, silver tagging, and electron microscopy (EM) for visualizing the electron storage capacity (ESC) of black carbon (BC). ESC is a BC's capacity to store and reversibly exchange electrons with abiotic and microbial agents, processes that are relevant to biochemistry, greenhouse gas production, contaminant fate, and remediation. In addition to the amount of electrons BC can store, the locations and spatial distribution of ESC on and inside biochar are critical for understanding the bioaccessibility of ESC and the kinetics of redox reactions involving BC. To locate the ESC in a BC particle, we fully reduced a BC, removed excess reductant, and applied silver ion (Ag+) as a tagging agent that diffused into BC to react with functional groups where electrons were stored (i.e., ESC) to form silver nanoparticles (nAg). The nAg deposited on and inside BC were then imaged using multiple EM techniques to visualize the locations and distribution of the ESC. The method is a new and potentially useful tool for investigating ESC production and for elucidating BC-mediated redox transformation.•Novel method to probe and assess the distribution of ESC on/within BC.•Visual confirmation of significant ESC both on the surface and in the interior of BC.•A new method to incorporate silver or other redox-sensitive elements into a carbon medium. © 2020 The Author(s). Published by Elsevier B.V.Solid Recovered Fuels (SRF) include non-combustible mineral components (e.g. CaCO3, SiO2, Al2O3) that are required as raw materials for producing clinker and are completely incorporated into the clinker during the thermal recovery of SRF. This paper discusses simple and practicable ways of finding the relative amount of SRF that may be utilised as raw material (given as the recycling index). For this purpose, the entire mineral content of SRF was determined as the ash content and its main components were identified using different analytical methods.•A fusion melt of the previously incinerated sample with subsequent measuring using ICP-OES and XRF as well as a total digestion of the incinerated and non-incinerated sample with subsequent measuring using ICP-OES/ICP-MS were applied.•The results showed a good agreement of all four analytical methods for the elementary oxides Al2O3, CaO, Fe2O3, SiO2, TiO2, P2O5 and MgO (relative deviation from 6.6 to 38.9%) and slightly higher deviations for K2O, Na2O and SO3 (14.2-96.0%).•It was also shown that different incineration temperatures (550 °C, 815 °C and 950 °C) have no effect on the result of the recycling index unless it is assumed that the recycling index equals the ash content. © 2020 The Authors. Published by Elsevier B.V.Multivariate statistics is a tool for examining the relationship of multiple variables simultaneously. Principal component analysis (PCA) is an unsupervised multivariate analysis technique that simplifies the complexity of data by transforming them in a few dimensions showing their trends and correlations. Interests in XLSTAT as statistical software program of choice for routine multivariate statistics has been growing due in part to its compatibility with Microsoft Excel data format. As a case of study, multivariate analysis is used to study the effects of unfiltered beer-based marination on the volatile terpenes and thiols, and sensory attributes of grilled ruminant meats. PCA was conducted to determine the correlations between the abundances of volatile terpenes and thiols and sensory attribute scores in marinated grilled meats, as well as to analyze if there was any clustering based on the type of meat and marination treatments employed.•XLSTAT PCA output successfully reduced the number of variables into 2 components that explained 90.47% of the total variation of the data set.•PCA clustered marinated and unmarinated meats based on the presence and abundances of volatile terpenes, thiols and consumer sensory attribute scores.•PCA could be applied to explore relationships between volatile compounds and sensory attributes in different food systems. © 2020 The Authors. Published by Elsevier B.V.Meta-analysis is a valuable tool for the synthesis of evidence across a wide range study types including high-throughput experiments such as genome-wide association studies (GWAS) and gene expression studies. There are situations though, in which we have multiple outcomes or multiple treatments, in which the multivariate meta-analysis framework which performs a joint modeling of the different quantities of interest may offer important advantages, such as increasing statistical power and allowing performing global tests. In this work we adapted the multivariate meta-analysis method and applied it in gene expression data. With this method we can test for pleiotropic effects, that is, for genes that influence both outcomes or discover genes that have a change in expression not detectable in the univariate method. We tested this method on data regarding inflammatory bowel disease (IBD), with its two main forms, Crohn's disease (CD) and Ulcerative colitis (UC), sharing many clinical manifestations, but differing in the location and extent of inflammation and in complications. The Stata code is given in the Appendix and it is available at www.compgen.org/tools/multivariate-microarrays.•Multivariate meta-analysis method for gene expression data.•Discover genes with pleiotropic effects.•Differentially Expressed Genes (DEGs) identification in complex traits. © 2020 The Author(s).Tuberculous meningitis (TBM), caused by Mycobacterium tuberculosis (Mtb), is the deadliest form of tuberculosis in humans, particularly in children and the geriatric population. However, the host-pathogen interactions underlying TBM is not well understood. Rabbits are a valuable model system to study TB in humans. The rabbit model of TB recapitulates several pathophysiological characteristics, including heterogeneity, architecture, and development of granulomas at the site of infection as observed in Mtb-infected human organs. Previously, our group has established a rabbit model of TBM that has been used to understand the host immune response to Mtb infection and to evaluate novel intervention therapies for TBM. In this model, rabbits infected intracisternally with Mtb showed histopathologic manifestations in the brain and meninges that are hallmarks of TBM in humans, including inflammatory cell accumulation and thickening of the leptomeninges. However, in this model, a helmet made of dental acrylic was attached to rabbit's skull with screws under anesthesia. At 24 h post-procedure, the animals were injected intracisternally with Mtb using a spinal needle. The rabbits were necropsied at various experimental time points up to 2 weeks post-infection. Although this method has been successful in establishing TBM, placement of the dental acrylic helmet on rabbit skull with screws that stays until the experimental endpoint poses stress to the animals and increases the chances of secondary infection. To alleviate these issues, we have developed an improved protocol, in which sedated rabbits are placed on specialised stereotaxic equipment and injected with Mtb intracisternally. This method is less cumbersome, faster, and more efficient in delivering the bacteria. Besides, the animals are not stressed by this method, compared to the previous one. © 2020 The Author(s).