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Unveiling the changes in city environmental CO2 inside the period of COVID-19 pandemic: In a situation study involving Florencia (Croatia).
the financial impact of integrated palliative care is necessary to foster this care approach across all possible settings.A systematic review of research assessing rape myth acceptance (RMA) interventions within institutional settings was conducted. The aim of this review was to inform the development of an educational intervention for jurors in rape trials that addresses rape myths, given previous evidence that RMA can affect decision-making and verdicts (Dinos et al., 2015; Gravelin et al., 2019; Leverick, 2020). 12 databases were searched, filtered to return peer-reviewed journals, published from 1980 to 2020, written in English. After removing duplicates from the 5,093 search results returned, 2,676 studies were screened for inclusion. Research studies were included in the review if they assessed the impact of a naturalistic intervention on RMA within an institutional setting. Studies that did not compare an experimental condition to a control condition or did not randomly allocate participants to conditions were excluded. Studies were also excluded if they used a non-validated, or adapted, RMA measure. 20 Research studies were included within the review and were critically appraised according to an author-created critical appraisal tool. It was concluded that RMA interventions can have a short-term impact upon individuals' RMA. Intervention types that were effective in reducing RMA included those that presented RM information; those that contained an empathy component; and bystander programmes. With regards to duration and format, short interventions led to reductions in RMA, and most successful interventions were presented via videos. Implications for policy and practice, and recommendations for future research, are discussed.Variable selection in the presence of both missing covariates and outcomes is an important statistical research topic. Parametric regression are susceptible to misspecification, and as a result are sub-optimal for variable selection. AZD0095 solubility dmso Flexible machine learning methods mitigate the reliance on the parametric assumptions, but do not provide as naturally defined variable importance measure as the covariate effect native to parametric models. We investigate a general variable selection approach when both the covariates and outcomes can be missing at random and have general missing data patterns. This approach exploits the flexibility of machine learning models and bootstrap imputation, which is amenable to nonparametric methods in which the covariate effects are not directly available. We conduct expansive simulations investigating the practical operating characteristics of the proposed variable selection approach, when combined with four tree-based machine learning methods, extreme gradient boosting, random forests, Bayesian additive regression trees, and conditional random forests, and two commonly used parametric methods, lasso and backward stepwise selection. Numeric results suggest that, extreme gradient boosting and Bayesian additive regression trees have the overall best variable selection performance with respect to the F1 score and Type I error, while the lasso and backward stepwise selection have subpar performance across various settings. There is no significant difference in the variable selection performance due to imputation methods. We further demonstrate the methods via a case study of risk factors for 3-year incidence of metabolic syndrome with data from the Study of Women's Health Across the Nation.I argue that non-demographers engage in "counter-demography" - repurposing demographic tools as they interpret and manage local, individual expressions of complex population-level issues. I explore this through a focus on population aging in Peru. Like many developing countries, Peru is in a delicate demographic position where sometimes violent efforts to reduce fertility, and broader processes of modernization and education, have resulted in population aging. In the urban Andes, professional aging-workers (those who labor to support aging individuals) informally reference statistics and data visualizations to highlight their own complex and holistic efforts to support aging people on the ground.This paper aims to identify an optimum bone fracture stabilizer. For this purpose, three design variables including the ratio of the screw diameter to the plate width at three levels, the ratio of the plate thickness to the plate width at three levels, and the diameter of the bone at two levels were selected for analysis. Eighteen 3D verified finite element models were developed to examine the effects of these parameters on the weight, maximum displacement and maximum von Mises stress of the fixation structure. Considering the relations between the inputs and outputs using multivariate regression, a genetic algorithm was used to find the optimal choices. Results showed that the diameter of the bone and the amount of load applied on it did not have a significant effect on the normalized stresses on the structures. Furthermore, in all ratio of the plate thickness to the plate width, as the ratio of the screw diameter to the plate width increased, the amount of stress on the structure decreased. But, by further increasing the ratio of the screw diameter to the plate width, the amount of stress on the structure increased. On the other hand, by increasing the value of the ratio of the plate thickness to the plate width, the maximum amount of stress on the structure decreased. Finally, optimal solutions in terms of the weight and the maximum amount of stress on the structure were presented.Background. Due to an increasing stroke incidence, a lack of resources to implement effective rehabilitation and a significant proportion of patients with remaining impairments after treatment, there is a rise in demand for effective and prolonged rehabilitation. Development of self-rehabilitation programs provides an opportunity to meet these increasing demands.Objective. The primary aim of this meta-analysis was to determine the effect of self-rehabilitation on motor outcomes, in comparison to conventional rehabilitation, among patients with stroke. The secondary aim was to assess the influence of trial location (continent), technology, time since stroke (acute/subacute vs chronic), dose (total training duration > vs ≤ 15 hours), and intervention design (self-rehabilitation in addition/substitution to conventional therapy) on effect of self-rehabilitation.Methods. Studies were selected if participants were adults with stroke; the intervention consisted of a self-rehabilitation program defined as a tailored program where for most of the time, the patient performed rehabilitation exercises independently; the control group received conventional therapy; outcomes included motor function and activity; and the study was a randomized controlled trial with a PEDro score ≥5.Results. Thirty-five trials were selected (2225 participants) and included in quantitative synthesis regarding motor outcomes. Trials had a median PEDro Score of 7 [6-8]. Self-rehabilitation programs were shown to be as effective as conventional therapy. Trial location, use of technology, stroke stage, and intervention design did not appear to have a significant influence on outcomes.Conclusion. This meta-analysis showed low to moderate evidence that self-rehabilitation and conventional therapy efficacy was equally valuable for post-stroke motor function and activity.Due to lateral ligament laxity, bearing dislocation occurs in 1%-6% of Oxford Domed Lateral replacements. Most dislocations are medial but they do rarely occur anteriorly or posteriorly. The aim was to decrease the risk of dislocation. For a bearing to dislocate the femoral component has to be distracted from the tibial component. A robotic-path-planning-algorithm was used with a computer model of the implant in different configurations to determine the Vertical Distraction needed for Dislocation (VDD). With current components, VDD anteriorly/posteriorly was 5.5 to 6.5 mm and medially was 3.5 to 5.75 mm. A thicker bearing increased VDD medially and decreased VDD anteriorly/posteriorly (0.1 mm/1 mm thickness increase). VDD medially increased with the bearing closer to the tibial wall (0.5 mm/1 mm closer), or by increasing the tibial wall height (1 mm/1 mm height increase). VDD anteriorly/posteriorly was not influenced by bearing position or wall height. To prevent collision between the femoral and tibial components an increase in wall height must be accompanied by a similar increase in minimum bearing thickness. Increasing the wall height and minimum bearing thickness by 2 mm and ensuring the bearing is 4 mm or less from the wall increased the minimum VDD medially to 5.5 mm. The lower VDD medially than anteriorly/posteriorly explains why medial dislocation is more common. If the wall height is increased by 2 mm, the minimum bearing thickness is 5 mm and the surgeon ensured the bearing is 4 mm or less from the wall, the medial dislocation rate should be similar to the anterior/posterior dislocation rate, which should be acceptable.The body shape design is one of the most influential factors in the success of dental implants. This study presents a strategy to design the geometrical features of a threaded implant. The topology optimization technique is applied to identify appropriate spaces in the implant body to be removed for bone growth. The exact shape, position, and dimensions of the spaces are determined using a finite element model. This model consists of a mandibular segment, implant, abutment, and crown. During the optimization process, some grooves and holes are created in the implant by removing redundant materials. Bone growth into these spaces causes mechanical locking between the implant and surrounding bone. The smoothing process is performed following the optimization to remove stress concentration. The results indicate that this design strategy reduces the maximum displacement of the implant by approximately 20%. Moreover, a reduction in the implant's volume and an increase in the contact area between the implant and bone are obtained. All mentioned issues would increase the stability and reduce the risk of implant loosening. Finally, using conventional production methods, the optimal implant was produced from titanium alloy to demonstrate the possibility of production of the proposed design.
Although an abundance of gerontological research has focused on subjective well-being, quality of life, and life satisfaction, we know little about what matters most to older adults in sub-cultural groups. The purpose of this study was to explore what matters to older Chinese adults.

The study used a qualitative interpretive design, drawing influences from phenomenology and constructed meaning through participants' lived experiences.

After data analysis, a core theme of
and categorical themes emerged. This study emphasized the importance of hearing the voices of Chinese older adults and how they viewed well-being, quality of life, life satisfaction, and health care.

The findings of this study have added to the body of existing knowledge of what matters most to older adults. These insights may advance nursing as it pertains to culturally congruent health care.
The findings of this study have added to the body of existing knowledge of what matters most to older adults. These insights may advance nursing as it pertains to culturally congruent health care.
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