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Cultural intergrated , right after relocating to a whole new metropolis anticipates reduced systolic hypertension.
Dispersion in our final, random effects, model suggested that the relation between SES and child psychopathology is likely to vary in different populations of children and in different communities. These findings highlight the need for additional research on the mechanisms of SES-related psychopathology risk in children in order to identify targets for potential intervention.A gap in informatics expertise amongst nursing students, practising staff and faculty has been noted globally, which reduces the potential for nurses to utilise technology to enhance patient care. National nursing education strategies and recommendations from professional associations have identified digital health as an area that needs investment. This case study describes how health informatics is being integrated into a Bachelor of Nursing programme in the United Kingdom. An international collaboration with a US-UK Fulbright Specialist Scholar enabled individual learning units corresponding to key health informatics competencies to be designed and incorporated into a pedagogic framework grounded in the spiral learning approach. This approach is proposed as one way to integrate informatics into nursing education, so students can become competent clinicians that are able to deliver technology enabled care in the health service.Standardisation of clinical teaching practices by nurse educators for undergraduate students is vital, especially within large nursing education institutions distributed over multiple campuses. This quantitative study investigated current clinical teaching practices of nurse educators at a Public College of Nursing in South Africa. A total of n = 68 nurse educators were selected from 5 campuses over a two-month period (April-May 2016), using convenience sampling. Data was collected with a structured questionnaire, the design of which was informed by the Dundee Three Circle Outcomes Model for Clinical Teaching. The results showed that 37% (n = 25) of the nurse educators had above 10 years of clinical teaching experience. Of the 66% (n = 45) who had formal education on clinical teaching practices, 49% (n = 33) received in-service education. Most nurse educators were willing to share amongst colleagues documents they used for clinical teaching, to promote standardisation of teaching practices. Further, they evidenced best clinical practices regarding planning for assessment and clinical placement of students. However, there were significant variations in the majority (seven) of the nine investigated clinical teaching practices among participants. In-service education was positively correlated to best clinical teaching practices (Chi square (d.f. = 2, n = 68) = 7.24; p = .027; V = 0.33 Medium).The persistence of fibres under outdoor conditions is seldom investigated. This research aimed to study simultaneously the influence of several factors (and their cross-interactions) on the persistence of fibres on static textile surfaces. In order to achieve this aim, a design of experiments was successfully implemented under laboratory conditions. Four factors were considered time, inclination of the recipient textile, wind speed, and rainfall. The model obtained by this supervised method was compared with the results collected under actual outdoor conditions near a weather station. The resulting model appears to be reliable as long as the values of the factors are kept within the range used in the study. The results of the laboratory tests showed that wind speed and rainfall significantly influence the persistence of fibres while time and inclination of the recipient textile have been found to be nonsignificant. C75 In general, the observed persistence was high between 90.4 and 100%. This might be attributed to the recipient textile surface possessing abundant protruding fibres which "traps" the transferred fibres. Outdoor experiments usually suffer from a higher variability and result in a higher fibre loss. In outdoor conditions, wind and rainfall have shown an extensive influence on the fibre persistence. Finally, the trend of fibre persistence on static textiles in outdoor conditions is generally linear with time, but extreme meteorological condition will induce exponential losses.Cannabis is classified into two types drug-type cannabis, which is abused worldwide, and fiber-type cannabis, which is used for industrial purposes. The two types are a result of differences in the sequences of tetrahydrocannabinolic acid synthase (THCAS) and cannabidiolic acid synthase (CBDAS) genes. In the present study, we aimed to establish a PCR-based method to distinguish between drug-type and fiber-type cannabis by detecting the differences in the sequences of THCAS and CBDAS. We constructed a single-plex PCR targeting active THCAS, and observed drug-type cannabis-specific amplification when using 10pg to 1ng of DNA; however, amplification was also observed in fiber-type cannabis when the DNA content reached 10ng. Similarly, single-plex PCR targeting active CBDAS showed fiber-type cannabis-specific amplification in 100pg of DNA, as well as in >1ng of drug-type cannabis DNA. Therefore, when an allele-specific duplex PCR system was constructed, in which both primer sets were mixed at an appropriate ratio, unintended nonspecific amplification was suppressed and amplicons of different sizes were observed between the drug-type and fiber-type cannabis, using DNA samples in the range of 1pg to 10ng. When the constructed duplex PCR was performed on DNA extracted from various cannabis seed samples, it was possible to distinguish between the drug-type and the fiber-type as well as detect a hybrid-type with both active THCAS and active CBDAS and a special type with neither. The identification method developed in the present study can quickly and accurately distinguish between drug-type and fiber-type cannabis, and is expected to be used for various purposes such as the detection of genetic contamination of industrial hemp as well as forensic examination of cannabis-related cases.Textile structures are considered as the main component of protective clothing against the penetration of sharp objects. In the current research work, woven fabrics reinforced with metal threads as weft yarn were designed with various weave patterns including Twill, Satin, and Hopsack, and by using a weft-backed weaving structure. The mentioned reinforced samples were produced by altering the diameter and number of metal threads in each fabric structure. Assessment of fabric resistance against bending and sharp object penetration reveals that although the application of metal thread improves the fabric resistance against sharp object penetration, it leads to an increase in the fabric stiffness. According to the results, the influence of the number of metal threads on the penetration resistance was considerably higher than the metal thread diameter. However, more increase in the fabric's bending stiffness was observed with the rise of metal thread's diameter compared to the number of metal threads. According to the obtained outcomes, weave structure is an effective parameter that changes fabric's resistance against penetration. In this regard, weave patterns with more firmness that limit the yarn movement during the indentation of the sharp object present higher protection ability. Furthermore, the increment of fabric density enhances the resistance against penetration. In this study, the resistance of two-layer samples with various orientations angle of 0°/90° and -45°/+45° were probed, as well. Outcomes confirmed that two-layer samples resist better than single-layer sample against sharp object penetration due to the formation of a grid of metal threads. Among two studied fabrics' orientation angles, the sample with the angle of -45°/+45° presents greater penetration resistance.Soil is a very important type of trace evidence. The iron content of soil is of great significance in distinguishing soil types, discriminating among different soils, and tracing soils. However, conventional methods for analyzing the iron content of soil are expensive, laborious, and time-consuming. Previous studies have shown that the color of soil correlates well with its hematite content. This article thus deals with the indirect determination of iron content using soil color as a proxy. Soil color measurements were conducted using microspectrophotometry (MSP), and resulting data were transformed into chromaticity value (L*, a*, and b*). Predictions using the redness index in conjunction with a linear regression model were compared with those using the chromaticity value and a back propagation neural network (BPNN) model. The influences of different modeling conditions on the modeling accuracy were compared, and more accurate predictions were achieved when the iron content was higher than 2.13%. The BPNN model produced predictions with R2 and RMSE values of 0.955 and 0.336%, which were better than the predictions of the linear regression model (R2 0.859, RMSE, 1.07%). We thus demonstrated that MSP can be used for fast, accurate, and non-destructive measurements of soil color and prediction of its iron content. Although the results may not be as precise as conventional laboratory analysis, they still provide more information with acceptable accuracy, which should have promising applications in forensic applications.This paper provides guidance on how to properly analyse data generated from the Home Office fingermark grading scheme. The core of the issue is that it creates ordinal data and should therefore not be analysed using averages. To reduce confusion, it is recommended to label the different degrees of fingermark development as classes rather than numerical scores. Appropriate statistical tests are provided to properly analyse Home Office fingermark grading scheme data, however, not using statistical tests is perfectly acceptable so long as conclusions are worded appropriately and do not exaggerate the significance of the findings. Some guidance is provided on estimating sample size and optimal methods for presenting results.Arsonists may use ignitable liquids to start, accelerate and amplify fires. The sampling of volatiles present on the hands of suspected arsonists is therefore sometimes carried out in the course of the investigation of (possible) deliberate fires. Several collection protocols have been proposed, relying on the concentration of volatiles by the transfer on PVC gloves and further passive headspace extraction with Activated Charcoal Strips (ACS). Previous research findings assessing the use of Activated Carbon Cloth (ACC) - initially developed for the adsorption of gas in military applications - opens the path to new perspectives regarding the extraction and the concentration of ignitable liquid residues in general, and for the sampling on hands in particular. Five alternative methods (four relying on the use of ACC and one on ACS) were considered for the collection of gasoline traces present on the hands and their subsequent analysis by gas chromatography - mass spectrometry. Gasoline was deposited onto the pale or bag (i.e. the headspace volume). This research opens new perspectives for the sampling of ignitable liquid residues through the use of ACC. It corroborates the perceived potential of ACC for the extraction and concentration of volatile compounds, particularly for fire debris analysis purposes. While the experiments were focused on the collection of gasoline on hands, the results provide valuable information in a more general way for the sampling of fire debris.
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