Can integrating religiosity and spirituality into postpartum care improve the quality of life in women with preeclampsia

BackgroundWomen with a history of preeclampsia frequently have a lower level of physical well-being and emotional problems.ObjectiveThis study aimed to determine the effect of integrating religiosity and spirituality into postpartum care can improve the quality of life in women with preeclampsia.MethodsThis study was a randomized controlled clinical trial conducted on 40 women with preeclampsia. All eligible participants were allocated to two control and intervention groups using a random blocking method. Data were collected using Mother-Generated Index (MGI) in pre-intervention and 6 weeks later and analyzed using descriptive statistics, Chi-square test, and independent t-tests. The significance level was p < 0.05.ResultsThe mean, Standard deviation (SD) of the total score of MGI before intervention in the intervention group was 5.35 (1.09) which increased to 8.00 (0.50) 6 weeks after intervention. In the control group, the pre-test score of MGI was 5.81 (0.97) which increased to 6.69 (1.37) after 6 weeks of follow-up. The difference between the two groups was statistically significant after the intervention based on an independent t-test (p = 0.001).The mean (SD) of five subscales included Feelings toward herself, Feelings toward the child, Feelings toward her husband and others, Feelings toward sex, and Physical health status after intervention in the intervention group statistically significantly increased compared to the control group (p < 0.011).ConclusionThe integration of spiritual counseling with the educational content of postpartum care had a positive impact on improving the postpartum QoL of women with preeclampsia. For better conclusions, a study with a large sample size needed to be conducted in the future.Clinical Trial Registrationhttps://en.irct.ir/user/trial/50832/view, identifier IRCT20150731023423N16

Magnesiothermic Reduction of Silica: A Machine Learning Study

undamental studies have been carried out experimentally and theoretically on the magnesiothermic reduction of silica with different Mg/SiO2 molar ratios (1–4) in the temperature range of 1073 to 1373 K with different reaction times (10–240 min). Due to the kinetic barriers occurring in metallothermic reductions, the equilibrium relations calculated by the well-known thermochemical software FactSage (version 8.2) and its databanks are not adequate to describe the experimental observations. The unreacted silica core encapsulated by the reduction products can be found in some parts of laboratory samples. However, other parts of samples show that the metallothermic reduction disappears almost completely. Some quartz particles are broken into fine pieces and form many tiny cracks. Magnesium reactants are able to infiltrate the core of silica particles via tiny fracture pathways, thereby enabling the reaction to occur almost completely. The traditional unreacted core model is thus inadequate to represent such complicated reaction schemes. In the present work, an attempt is made to apply a machine learning approach using hybrid datasets in order to describe complex magnesiothermic reductions. In addition to the experimental laboratory data, equilibrium relations calculated by the thermochemical database are also introduced as boundary conditions for the magnesiothermic reductions, assuming a sufficiently long reaction time. The physics-informed Gaussian process machine (GPM) is then developed and used to describe hybrid data, given its advantages when describing small datasets. A composite kernel for the GPM is specifically developed to mitigate the overfitting problems commonly encountered when using generic kernels. Training the physics-informed Gaussian process machine (GPM) with the hybrid dataset results in a regression score of 0.9665. The trained GPM is thus used to predict the effects of Mg-SiO2 mixtures, temperatures, and reaction times on the products of a magnesiothermic reduction, that have not been covered by experiments. Additional experimental validation indicates that the GPM works well for the interpolates of the observations.publishedVersio

The Effect of Spiritual Care on Adjustment of Adolescents with Type 1 Diabetes

Background: Diabetes is a stressful condition, which affects identity and psychosocial dimensions in adolescent then they need to be adapted. This study was conducted to investigate the effect of spiritual care on adolescents' adjustment with Type 1 diabetes. Materials and Methods: This randomized controlled clinical trial study was performed on 52 adolescents with Type 1 diabetes mellitus members of Sanandaj Diabetes Association (Sannadaj city, Kurdistan province, Iran), who were selected through convenience sampling and randomly divided into two groups (26 in each group). Spiritual care in the intervention group was performed in group form and daily for 6 sessions. Data were collected using "Baseline Characteristics Questionnaire", and "Lazarus and Folkman Coping Strategies Questionnaire" before and after the intervention and three weeks later. Data were analyzed using SPSS software version 19.0. Results: Chi-square test indicated the difference between the groups according to the level of education (p=0.048). Therefore, the effect of this variable was moderated. The mean of overall adjustment score in control group before and after providing intervention in the intervention group and during the follow-up period was 94.92±13.04, 90.12±10.96, and 92.08±13.34, respectively. The mean of overall adjustment scores in the intervention group before and after intervention and during the follow-up period were 104.08±23.35, 112.46±17.09, and 117.35±16.05, respectively; also t-test result showed a significant effect of intervention type (

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Real exchange rate and economic fundamentals : the case of a developing economy

Real exchange rate is an important variable in economy's growth. Its fluctuation reflected on the stability of a country's currency .as an important criterion shows the competitiveness of a country in the world. Misalignment of the RER causes disturbance on consumer price index and affects the prices of tradable goods, trade balance and the economic growth. Basically, the real exchange rate can be defined as the nominal exchange rate that takes the inflation differentials among the countries into account. Its importance stems from the fact that it can be used as an indicator of competitiveness in the foreign trade of a country. Because of the important role it plays in an economy as mentioned above, the real exchange rate has been one of the most debated issues both in terms of theory and the practice. This study discusses the existing definitions, calculation methods and interpretations of the real exchange rates. Within this context, the first part of the study will introduce different definitions of the real exchange rates. The calculation methods will be discussed in the second part. Finally, several points that should be taken into account in the interpretation of the real exchange rate movements will be highlighted. The model used in this study is based on the theoretical model developed by Edwards (1989), which is an intertemportal general equilibrium path of the real exchange rate. The ARDL aPJ?roachof cointegration was applied and the empirical analysis of section five shows that the Iranian economy has been subject to variability in the real exchange rate, reflecting the corresponding variability in both domestic (fiscal deficits and inflation) and external (terms of trade) factors

The Persian Piano Corpus: A Collection Of Instrument-Based Feature Extracted Data Considering Dastgah

The research in the field of music is rapidly growing, and this trend emphasizes the need for comprehensive data. Though researchers have made an effort to contribute their own datasets, many data collections lack the requisite inclusivity for comprehensive study because they are frequently focused on particular components of music or other specific topics. We have endeavored to address data scarcity by employing an instrument-based approach to provide a complete corpus related to the Persian piano. Our piano corpus includes relevant labels for Persian music mode (Dastgah) and comprehensive metadata, allowing for utilization in various popular research areas. The features extracted from 2022 Persian piano pieces in The Persian Piano Corpus (PPC) have been collected and made available to researchers, aiming for a more thorough understanding of Persian music and the role of the piano in it in subsequent steps.Comment: including 11 pages and 6 figures. we want to inform related data PPC is submitted to Harvard Dataverse: https://doi.org/10.7910/DVN/YY7SV

Kinetics of Magnesiothermic Reduction of Natural Quartz

In this work, the kinetics of natural quartz reduction by Mg to produce either Si or Mg2Si was studied through quantitative phase analysis. Reduction reaction experiments were performed at various temperatures, reaction times and Mg to SiO2 mole ratios of 2 and 4. Rietveld refinement of X-ray diffraction patterns was used to obtain phase distributions in the reacted samples. SEM and EPMA examinations were performed to evaluate the microstructural change during reduction. The results indicated that the reduction reaction rate was slower at a mole ratio of 2 than 4 at the same temperature, as illustrated by the total amount of Si formed (the percent of Si that is reduced to either Si or Mg2Si to total amount of Si) being 59% and 75%, respectively, after 240 min reaction time for mole ratios of 2 and 4. At the mole ratio of 4, the reaction rate was strongly dependent on the reaction temperature, where SiO2 was completely reduced after 20 min at 1273 K. At the lower temperatures of 1173 and 1073 K, total Si formed was 75% and 39%, respectively, after 240 min reaction time. The results of the current work show that Mg2Si can be produced through the magnesiothermic reduction of natural quartz with high yield. The obtained Mg2Si can be processed further to produce silane gas as a precursor to high purity Si. The combination of these two processes offers the potential for a more direct and low carbon method to produce Si with high purity

Kinetics of Magnesiothermic Reduction of Natural Quartz

In this work, the kinetics of natural quartz reduction by Mg to produce either Si or Mg2Si was studied through quantitative phase analysis. Reduction reaction experiments were performed at various temperatures, reaction times and Mg to SiO2 mole ratios of 2 and 4. Rietveld refinement of X-ray diffraction patterns was used to obtain phase distributions in the reacted samples. SEM and EPMA examinations were performed to evaluate the microstructural change during reduction. The results indicated that the reduction reaction rate was slower at a mole ratio of 2 than 4 at the same temperature, as illustrated by the total amount of Si formed (the percent of Si that is reduced to either Si or Mg2Si to total amount of Si) being 59% and 75%, respectively, after 240 min reaction time for mole ratios of 2 and 4. At the mole ratio of 4, the reaction rate was strongly dependent on the reaction temperature, where SiO2 was completely reduced after 20 min at 1273 K. At the lower temperatures of 1173 and 1073 K, total Si formed was 75% and 39%, respectively, after 240 min reaction time. The results of the current work show that Mg2Si can be produced through the magnesiothermic reduction of natural quartz with high yield. The obtained Mg2Si can be processed further to produce silane gas as a precursor to high purity Si. The combination of these two processes offers the potential for a more direct and low carbon method to produce Si with high purity

A psychometric evaluation of inter-professional education competency tool in nursing and medicine students

Abstract Introduction Collaboration between nurses and doctors is necessary for offering care to patients. Using team performance assessment tools and surveying them can be effective in promoting inter-professional collaboration, and the lack of a credible tool to assess inter-professional collaboration competency between the two groups is a major challenge in the healthcare sector. The present study aimed to translate and conduct a psychometric investigation on the inter-professional education collaboration (IPEC) tool for the students of medicine and nursing. Methods The present study was a cross-sectional one conducted as a psychometric investigation of the IPEC tool at the Iran University of Medical Sciences in 2022. The initial tool contained 42 items developed according to a 5-point Likert scale, which was translated into Persian with the consent of the original researcher. The validity index and the content validity ratio were investigated by a panel of 11 specialists in medical and clinical education, and its construct validity was evaluated using confirmatory factor analysis. Also, the second population of the study included medical and nursing students of Iran University of Medical Sciences and simple random sampling method. Moreover, the reliability of the instrument was investigated using internal consistency, Cronbach’s Alpha, and test–retest methods. Results Based on the indicators calculated to perform a psychometric investigation over the above tool, it had acceptable reliability and validity according to the specialists. The tool evaluates inter-professional collaboration competency between the students of medicine and nursing across four areas (values and ethics, roles and responsibilities, inter-professional communication, and team-based care and teamwork). Moreover, Cronbach’s Alpha coefficient for the tool was determined at 0.84. Conclusion The results of the study showed that the above tool could evaluate inter-professional competency as a valid and reliable questionnaire, and its results could be utilized in planning and education