One-Pot Synthesis of β-Acetamido Ketones Using Boric Acid at Room Temperature

β-acetamido ketones were synthesized in excellent yields through one-pot condensation reaction of aldehydes, acetophenones, acetyl chloride, and acetonitrile in the presence of boric acid as a solid heterogeneous catalyst at room temperature. It is the first successful report of boric acid that has been used as solid acid catalyst for the preparation of β-acetamido ketones. The remarkable advantages offered by this method are green catalyst, mild reaction conditions, simple procedure, short reaction times, and good-to-excellent yields of products

The Comparison of Self Concept and Compatibility among Single and Divorced Women in Bandar Abbas

ABSTRACT This is a comparative study that aims at comparing the extent of self-concept and compatibility among single and divorced women in Bandar Abbas (Mostly between 25 to 35 years old). According to this research, the method used is descriptive and of causalcomparative. The study population included all single girls over 25 years, living in the city of Bandar Abbas. All divorced women had their divorce decree issued 12 month before the study. The study samples included 130 people who responded to Roger's Self-Concept and Bell's Compatibility questionnaire. The data for this study were analysed using SPSS software. Results from data analysis showed that self-concept of divorcees and singles is not much different. The results also showed that the compatibility of divorced and single individuals is not the same and also reveals that the compatibility of single girls is more than divorced women. It can be concluded that the "compatibility variable" has little predictive power compared to "self-concept variable"

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

Development of Operation Management Model of Groundwater According to Nitrate Contamination

Nitrate is one of the most important groundwater pollutants with such different sources as chemical fertilizers, pesticides, or domestic and industrial wastewater. In this research, the optimal operation of groundwater wells in aquifers with nitrate pollution is investigated using simulation and optimization techniques. For the simulation part, an artificial neural network (ANN) model is developed, and for the optimization model, the particle swarm optimization (PSO) is used. Considering the high nitrate concentration in Karaj area and its increase in recent years, the northern part of this aquifer is selected as a case study to apply the proposed methodology. A seasonal ANN model is developed with input layers including well discharge in the current and previous seasons, nitrate concentration in the previous season, aquifer thickness, and well coordinates, all selected based on sensitivity analysis. The results of PSO algorithm shows that nitrate concentration can be controlled by increasing or decreasing well discharge in different zones. Therefore, it is possible to reduce nitrate concentration in critical areas by changing the spatial distribution of groundwater extractions in different zones keeping the total discharge constant

Evaluating the predictors of fruit and vegetable consumption behavior in Ilam based on constructs of developed planned behavior theory

Introduction and Aims: Fruits and vegetables as parts of healthy food system are recommend. Individuals who have high consumption of fruits and vegetables, less likely to involve overweight and danger of encountering to cordial disease and special type of cancer is reduced. Consumption of fruit and vegetable lead to safe from type 2 diabetes ,brain strike, long term pulmonary diseases, eye cataract, blood pressure and intestine disease.Materials and Methods: This cross-sectional analytic study implemented on 200 citizen in Ilam by random sampling. Data gathering tools is questionnaire include constructions of developed planned behavior theory.Results: Attitudes, habits, and intention have impact directly on consumption of fruit and vegetables. However attitude and habits affected consumption of fruit and vegetables thereby intention. Based on general effect of variables after habits, attitude was the second factor that predict the consumption. Mental norms have no significant direct effect on consumption of fruit and vegetables.Conclusion: Hygienic theories such as planned behavior theory, can help to predicting and planning healthy behaviors. Planned behavior theory can be used for planning and intervening in order to preventing of disease.* Corresponding Author: Ilam University, Faculty of Management.Email: [email protected]

A Survey of Effective Factors on Evaluating Consumers, Attitude towards Brand Extension

Brand extensions have been a popular strategy for many companies for many years. Its success depends on the acceptance and evaluations of consumers about brand extension. Thus, the aim of this study is to investigation the effective factors on consumers’ evaluation of brand extension of Barez Tire in Kerman-Iran. The population for this study included the consumers of Barez Tire in Kerman. The sample size is 171 people; random sampling method and infinite population formula were adopted to estimate the sample. The data were collected through a standard questionnaire. Its reliability was measured by Alpha Cronbach. Moreover, library and field methods research were employed to gathering the data needed. The present descriptive and correlation study is a developmental and functional research. For data analysis, descriptive statistics including the statistical parameters such as frequency, charts and diagrams and inferential statistical section including tests K-M, univariate analysis of variance, Paired-Sample T-test, regression, Confirmatory Factor Analysis and structural equation modeling in SPSS and LISREL were utilized. The results revealed that Brand Loyalty, Brand Experience, Brand Trust, Brand Satisfaction, Brand image, Brand Perceived fit and Brand Equity significantly affected the consumers’ evaluation of brand extension. However, brand satisfaction and brand experience were more influential than other factors

Potential anti-inflammatory effect of Lamium album extract through caspase-3 and cyclooxygenase-2 genes expression in a rat model of middle cerebral artery occlusion

Introduction: Stroke is one of the most common causes of death worldwide. Inflammation and apoptosis play an important role in the cascade of ischemic stroke. Aim: The aim of the present study was to evaluate the pretreatment effects of Lamium album (L. album) extract on caspase-3 and cyclooxygenase-2 (COX-2) expression, infarct volume, and neurological deficit score in a rat model of middle cerebral artery occlusion (MCAO). Materials and methods: Wistar male rats were randomly divided into three groups: 1) MCAO group (1 h after MCAO, reperfusion was allowed for 24 h by retracting the thread); 2) L. album + MCAO group [receiving L. album extract (100 mg/kg via intraperitoneal) for a week before MCAO]; 3) sham group. The expression level of caspase-3 and COX-2 in the core, penumbra, and subcortex regions was measured by real time-PCR technique. Infarct volume and neurological deficit score were also assessed. Results: The mRNA expression of caspase-3 in the core, penumbra, and subcortex regions in L. album group was significantly reduced compared to MCAO group (p<0.05). Expression level of COX-2 in the subcortex of the rats exposed to L. album was statistically decreased relative to MCAO group (p<0.05). Infarct volume in the core, penumbra, and subcortex was significantly reduced in the L. album group compared with MCAO group (p<0.001, p<0.001, p<0.05, respectively). Neurological deficit score was remarkably decreased in the L. album group in comparison with the MCAO group (p<0.05). Conclusions: It appears that pretreatment with L. album extract may attenuate brain tissue damage after ischemic stroke. The potential protective effects of this plant extract against this condition might be in part attributed to its anti-inflammatory and anti-apoptotic activities

Potential anti-inflammatory effect of Lamium album extract through caspase-3 and cyclooxygenase-2 genes expression in a rat model of middle cerebral artery occlusion

Introduction: Stroke is one of the most common causes of death worldwide. Inflammation and apoptosis play an important role in the cascade of ischemic stroke. Aim: The aim of the present study was to evaluate the pretreatment effects of Lamium album (L. album) extract on caspase-3 and cyclooxygenase-2 (COX-2) expression, infarct volume, and neurological deficit score in a rat model of middle cerebral artery occlusion (MCAO). Materials and methods: Wistar male rats were randomly divided into three groups: 1) MCAO group (1 h after MCAO, reperfusion was allowed for 24 h by retracting the thread); 2) L. album + MCAO group [receiving L. album extract (100 mg/kg via intraperitoneal) for a week before MCAO]; 3) sham group. The expression level of caspase-3 and COX-2 in the core, penumbra, and subcortex regions was measured by real time-PCR technique. Infarct volume and neurological deficit score were also assessed. Results: The mRNA expression of caspase-3 in the core, penumbra, and subcortex regions in L. album group was significantly reduced compared to MCAO group (p<0.05). Expression level of COX-2 in the subcortex of the rats exposed to L. album was statistically decreased relative to MCAO group (p<0.05). Infarct volume in the core, penumbra, and subcortex was significantly reduced in the L. album group compared with MCAO group (p<0.001, p<0.001, p<0.05, respectively). Neurological deficit score was remarkably decreased in the L. album group in comparison with the MCAO group (p<0.05). Conclusions: It appears that pretreatment with L. album extract may attenuate brain tissue damage after ischemic stroke. The potential protective effects of this plant extract against this condition might be in part attributed to its anti-inflammatory and anti-apoptotic activities