50 research outputs found

    The Impact of Communication Skills Training on Social Empowerment and Social Adjustment of Slow-paced Adolescents

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    The present study was an attempt to investigate the effect of communication skills training on social empowerment and social adjustment of so-called «slow-paced» adolescents (ie those whoo need psychological, physical and emotional drivers to actualize their potential abilities). The research method was a control-Group Pretest-Posttest Quasi-Experimental design. The population of the study consisted of all slow-paced female students aged 13-15 years in Ghaenat city (South Khorasan Province) during 2019. 24 samples selected from the population through convenient sampling were randomly assigned to two experimental and control groups (12 individuals in each group). Teachers or parents of both subject groups were asked to fill the questionnaires (pre-test). In the next step, the experimental group was presented with ten 45-minute sessions on communication skills, and the control group did not receive any training. In the end, both groups responded to the research instrument (post-test). Vineland social maturity scale was used as the data collection instrument. The collected data were analyzed through covariance analysis using SPSS software version 22. The results showed that communication skills training has a significant impact on social empowerment (F = 15.47, p = 0.001) and social adjustment (F = 49.64, p = 0.001). In other words, it can be argued that the experimental and control groups significantly differ from each other in terms of the communication skills training impacts on social empowerment and its components as well as social maturity. In conclusion, communication skills training significantly improves the social empowerment and social maturity of slow-paced female adolescents in the experimental group

    One-dimensional electronic structure of phosphorene chains

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    Phosphorene, a 2D allotrope of phosphorus, is technologically very appealing because of its semiconducting properties and narrow band gap. Further reduction of the phosphorene dimensionality may spawn exotic properties of its electronic structure, including lateral quantum confinement and topological edge states. Phosphorene atomic chains self-assembled on Ag(111) have recently been characterized structurally but were found by angle-resolved photoemission (ARPES) to be electronically 2D. We show that these chains, although aligned equiprobably to three directions of the Ag(111) surface, can be characterized by ARPES because the three rotational variants are separated in the angular domain. The dispersion of the phosphorus band measured along and perpendicular to the chains reveals pronounced electronic confinement resulting in a 1D band, flat and dispersionless perpendicular to the chain direction in momentum space. Our density functional theory calculations reproduce the 1D band for the experimentally determined structure of P/Ag(111). We predict a semiconductor-to-metal phase transition upon increasing the density of the chain array so that a 2D structure would be metallic

    Inhibition of Polyphenol Oxidases and Peroxidase Activities in Green Table Olives by some Anti-browning Agents

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    Almost, all table olive cultivars are susceptible to the formation of brown spots due to mechanical damage during harvesting and processing. Therefore, application of some anti-browning agents might be an effective strategy to minimize unfavourable effects of enzymatic browning in green table olives. The aim of this study was to assess the effect of ascorbic acid (AA), citric acid (CA), oxalic acid (OA), 4-hexylresorcinol (HR) and sodium hexametaphosphate (NaHMP) on reducing enzymatic browning of four green table olive cultivars (\u27Mari\u27, \u27Shengeh\u27, \u27Manzanilla\u27 and \u27Zard\u27) fruit. The results showed that \u27Mari\u27 and ’Shengeh’ potentially had the highest browning index. AA could reduce peroxidase (POD) activity just in \u27Mari\u27, but NaHMP could beneficially suppress its activity in both cvs. \u27Manzanilla\u27 and \u27Mari\u27. In general, the monophenolase activity of polyphenol oxidase (PPO) was significantly higher than its diphenolase activity in all studied cultivars. The highest inhibitory effect on monophenolase activity was found in \u27Manzanilla\u27 fruit by CA and OA, while HR and NaHMP could suppress monophenolase activity of \u27Mari\u27 fruits. Diphenolase activity of PPO with pyrocatechol and dopamine HCl substrates was also dependent on olive cultivars. The minimum diphenolase activity of PPO for both substrates was found in \u27Zard\u27 fruit with the lowest browning index. The inhibitory effect of anti-browning agents on reducing diphenolase activity of PPO with dopamine hydrocholoride (DPOA) substrates was cultivar-dependend. Total phenolic content of treated fruits was higher than control. Overall, this result confirms that the potency of anti-browning agents on suppressing POD and PPOs enzymes that are involved in fruits browning was completely cultivar-dependend

    Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

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    Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

    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

    The Influence of Mutazilah Theology upon Karaite Theology

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    Excessive sanctity of the oral tradition (Talmud) among Rabbinic Judaism, sometimes, which marginalized the Holy Scriptures among Jews, caused appearance of a sect that rejected the oral tradition. It was the Karaites sect that appeared in 8th century; the century of Messiah movements of the eastern Jewish society. Among the causes of these Messiah movements are the appearance of Islam, and reestablishment of the traditional style of leadership of the Jewish society; and the appearance of social-economical riots as consequences of this kind of leadership. Responding to these crises some Jews found some reforms necessary in their religion. Among these was Anan Ben David. The general rule of Anan was rejection of oral tradition, and returning to the Hebrew Scriptures (Old Testament). He believed every individual is required to take responsibility for interpreting the Scriptures, which resulted nothing but a lot of divisions in his newly appeared sect. But Karaite scholars prevented the sect from experiencing more split, by approving a series of interpretation rules. In the 10th and 11th centuries, Karaite literary men like Kirkisāni, David b. Boaz, Japhet b. Ali, Joseph Al-Basir and Jeshua b. Judah appeared; and laid the foundation of Karaite's theological philosophy by getting help from Mutazilah theology. And after this period, Karaite scholars just engaged in translation, explanation and interpretation of the rich works of this period and created the most useful Jewish philosophy in Middle Ages

    Fragile Watermarking for Image Authentication Using QR factorization and Fourier Transform

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    Image authentication technique is one of the important methods for a large number of multimedia applications. When a digital image is passed over non-secure channels such as the Internet, it may be changed and manipulated. For some important images such as military and medical images, these manipulations are very harmful and such images should be protected against them. There are several ways such as fragile and semi-fragile watermarking to authenticate images from malicious attacks. This paper presents a fragile watermarking algorithm for image authentication by using QR factorization and Fourier Transform (FT). By applying Fourier transform to host image, frequency domain which causes visual quality in watermarking is achieved. After applying FT, it is factorized by QR decomposition. QR factorization is also applied to watermark image. After factorizing both images, a coefficient of the upper triangular matrix R from watermark image is embedded to the upper triangular matrix R from host image. So a sign of the watermark image is hidden in the host image. This method is a fragile watermarking and it is sensitive to a little attack. So if an image is attacked over the Internet, the watermark image can not be extracted and it means that it has been attacked and it helps us to recognize if an image is changed after being transmitted over the Internet. The experimental results show that this method is sensitive to every weak attack and extraction part can not extract watermark image if it has been attacked
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