15 research outputs found

    The Relationship between Mothers' Parenting Stress and Spiritual Well-Being and the Behavioral Disorders of Children with Specific Learning Disorders: Mediated by the Quality of Married Life

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    AbstractIntroduction: Raising children with specific learning disorders (SLDs) is a stressful experience, and one type of stress experienced by the mothers of these children is parenting stress. The present study aimed to investigate the relationship between mothers' parenting stress and spiritual well-being and the behavioral disorders of children with SLDs through the mediating role of quality of married life.Methods: The statistical population of this descriptive-correlational study consisted of all the mothers of children with specific learning disorders (SLDs) in Shiraz (Iran) in 2022. A sample of 218 boys with SLDs and their mothers was conveniently selected. The Parenting Stress Index, the Spiritual Well-Being Scale, the Revised Dyadic Adjustment Scale, and the Child Behavior Checklist were used for data collection. The proposed model was evaluated using structural equation modeling (SEM) in SPSS and AMOS.Results: All the direct paths, except for the path of parenting stress to children's behavioral disorders, were significant (P<0.001). The indirect paths from parenting stress to children's behavioral disorders, mediated by the quality of married life, and the path from spiritual well-being to children's behavioral disorders, mediated by the quality of married life, were also significant (P<0.001).Conclusions: Based on the results, the adjusted final model had an optimal fit and constitutes a major step towards identifying the factors affecting the behavioral disorders of children with SLDs

    Exact Mixed Integer Programming for Integrated Scheduling and Process Planning in Flexible Environment

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    This paper presented a mixed integer programming for integrated scheduling and process planning. The presented process plan included some orders with precedence relations similar to Multiple Traveling Salesman Problem (MTSP), which was categorized as an NP-hard problem. These types of problems are also called advanced planning because of simultaneously determining the appropriate sequence and minimizing makespan in the process of scheduling. There are alternative machines for each operation and different sequences for each order, which create a flexible environment for production planning. In process planning ansd integrated scheduling, most mathematical models have two sets of ordered pairs with precedence or non-precedence relations between operations; therefore, these models cannot be solved using optimization software. Therefore, in this paper, this problem was modeled by a new approach and solved by GAMS software. The model was validated by the existing data in the literature

    An Estimation of Drug-Related Deaths in Iran, Using the Capture-Recapture Method (2014-2016)

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    Background: The Ministry of Health and Medical Education (MOHME) and the Legal Medicine Organization(LMO) are the 2 death registration systems in Iran for registering drug-related deaths. The aim of the presentstudy was to assess the number of undercount and the overlap between the deaths registered by the 2 sources.Methods: In this descriptive study, according to the 10th revision of the International Classification ofDiseases (ICD-10), the registered data on drug-related deaths in the years 2014-2016, as recorded by theMOHME and the LMO, were collected and the number of deaths was estimated using 2-source capturerecapture method and Excel and SPSS software.Findings: The total number of drug-related deaths, as registered by the 2 sources, was 8639 during the3 years. A major part of the drug-related deaths (75% of the data) had been registered by the LMO and only25% of deaths had been registered by the MOHME. There was also a small overlap (7.7% of deaths) betweenthe data from the 2 sources. The final estimation from the capture-recapture model and analysis of sensitivityshowed that, during the 3 years, the total number of drug-related deaths was 14517 [95% confidence interval(CI):14498-14558]. Based on the complete overlap assumption and 50% of unidentified individuals in the2 sources, the number of deaths was estimated at 11341 and 12418, respectively. The largest number ofdrug-related deaths had occurred within the age range of 25-39 years and in men. Kermanshah, Hamedan,and Zanjan Provinces (Iran) had the largest number of cumulative incidences of drug-related deaths. Basedon the data provided by the MOHME, the most common cause of death was Methadone poisoning.Conclusion: There was a small overlap between the MOHME and the LMO in the registration of drug-relateddeaths. Failure to enter accurate and correct information has led to miscalculations of these deaths in Ira

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

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    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

    Ag/ZnO core–shell NPs boost photosynthesis and growth rate in wheat seedlings under simulated full sun spectrum

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    Abstract Breeding programs rely on light wavelength, intensity, and photoperiod for rapid success. In this study, we investigated the ability of Ag/ZnO nanoparticles (NPs) to improve the photosynthesis and growth of wheat under simulated full solar spectrum conditions. The world population is increasing rapidly, it is necessary to increase the number of crops in order to ensure the world’s food security. Conventional breeding is time-consuming and expensive, so new techniques such as rapid breeding are needed. Rapid breeding shows promise in increasing crop yields by controlling photoperiod and environmental factors in growth regulators. However, achieving optimum growth and photosynthesis rates is still a challenge. Here, we used various methods to evaluate the effects of Ag/ZnO NPs on rice seeds. Using bioinformatics simulations, we evaluated the light-harvesting efficiency of chlorophyll a in the presence of Ag/ZnO NPs. Chemically synthesized Ag/ZnO nanoparticles were applied to rice grains at different concentrations (0–50 mg/L) and subjected to a 12-h preparation time. Evaluation of seed germination rate and growth response in different light conditions using a Light Emitting Diode (LED) growth chamber that simulates a rapid growth system. The analysis showed that the surface plasmon resonance of Ag/ZnO NPs increased 38-fold, resulting in a 160-fold increase in the light absorption capacity of chlorophyll. These estimates are supported by experimental results showing an 18% increase in the yield of rice seeds treated with 15 mg/L Ag/ZnO NPs. More importantly, the treated crops showed a 2.5-fold increase in growth and a 1.4-fold increase in chlorophyll content under the simulated full sun spectrum (4500 lx) and a 16-h light/8-h dark photoperiod. More importantly, these effects are achieved without oxidative or lipid peroxidative damage. Our findings offer a good idea to increase crop growth by improving photosynthesis using Ag/ZnO nanoparticle mixture. To develop this approach, future research should go towards optimizing nanoparticles, investigating the long-term effects, and exploring the applicability of this process in many products. The inclusion of Ag/ZnO NPs in rapid breeding programs has the potential to transform crops by reducing production and increasing agricultural productivity
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