"Speech Is Golden": The Importance of Colloquial Arabic for Reading Standard Arabic for Beginning Readers.

PURPOSE: We investigated the role of spoken language in the acquisition of literacy in the context of Arabic diglossia, where the written language, Standard Arabic, deviates substantially from the spoken language, Colloquial Arabic, children acquire naturally from birth. METHOD: The participants (N = 110; 40 girls) were Saudi Arabic-speaking children in Grades 2-4. Children completed assessments of oral paragraph reading and word decoding using a vowelized script. They also completed three spoken assessments of Colloquial Arabic, which include sentence comprehension, sentence completion, and pragmatic knowledge, as well as a test of phonological awareness. We used path analysis to investigate the contributions of each of the spoken language indicators, decoding, and phonological awareness to reading comprehension (RC) in single and multiple serial mediator models. RESULTS: We found that spoken language (i.e., sentence comprehension, sentence completion, and pragmatic knowledge) and word decoding uniquely contributed to RC. Moreover, word decoding mediated the association between spoken language and RC. The path from spoken language to phonological awareness, then to word decoding, and finally to RC was inconclusive. CONCLUSIONS: While most studies on literacy acquisition in the context of Arabic diglossia focus on the linguistic distance between the colloquial (spoken) and the standard (written) language varieties, our results highlight the important contribution of spoken language skills to reading skills in Arabic despite this linguistic gap. The important implication of these findings is that spoken language interventions aimed at boosting children's narrative language skills in their home language (Colloquial Arabic) are an important tool for building a foundation for literacy in diglossia contexts.

Does economic complexity help in achieving environmental sustainability? New empirical evidence from N-11 countries.

In view of the SDGs argued by UNO, it is vital to address the pressing issues regarding sustainable development. The aim of current study is to investigate the impact of economic complexity (ECC) on environmental sustainability. To achieve this aim, we sampled the 25 years of data of Next-11 countries over the period 1995 to 2019. The economic complexity was measured by the economic complexity index (ECI) while environmental sustainability was measured by two proxy variables including CO2 and greenhouse gas (GHG) emissions. The empirical analysis was established by utilizing the unit root test, cointegration test, FMOLS (fully modified OLS) and DOLS (dynamic OLS) models. The estimated coefficient values disclosed that ECC has a negative and statistically significant relationship with both CO2 and GHG emissions in the long run, implying that ECC ensured environmental sustainability. In addition, the analysis reveals that financial development has a negative while economic growth and energy imports have a positive and statistically significant association with both CO2 and GHG emissions. The findings of the current study suggested an important policy regarding the focus on ECC for achieving environmental sustainability in underlying economies. This study provides robustness to the existing literature in alternative data settings (N-11 countries) and by the unique objective of focusing on environmental sustainability.

Energy, technology, and economic growth in Saudi Arabia: An ARDL and VECM analysis approach.

This paper investigates the effects in short and long run of renewable and non-renewable energy, technological advancement, population, foreign direct investment, energy export, energy price, and carbon dioxide emissions on economic growth in Saudi Arabia as one of the largest oil producing and richest countries in the world and as a leading country in investing in modern technology, during 1990-2022 by using the Autoregressive Distributed Lag(ARDL) approach and the Vector Error Correction Model (VECM) Granger causality technique. In first step, the ADF and DF-GSL tests are used to identify the order of integration of variables. In the second step, the Bounds test and the Wald test are used respectively to verify the existence of long run cointegration relationships and the long run relationships between variables. In the third step, we have applied the ARDL approach to capture the effect of each variable on Saudi economic growth in long term. Finally, the VECM technique was used to detect the direction of causality running from variable to another. It is appearing that all variables are stationary in first difference, and there are a long run cointegration and relationships among variables. The results of ARDL estimation show that non-renewable energy, renewable energy, population, foreign direct investment, energy export, and energy price positively affect the Saudi economic growth. While technological advancement and carbon dioxide emissions have negative effects on the economic increase of Saudi Arabia. These two results appear important and useful because of their consequences. In effect, it could damage its worldwide standing and dishearten foreign investment, stopping economic diversification efforts and increasing the income inequality. Though, the results of VECM technique show four bidirectional causal relationships between economic growth and non-renewable energy, foreign direct investment, energy export, and energy price. The findings of this study have several policy implications for Saudi Arabia. First, Saudi government should continue investing in the energy sector. Second, to attract more FDI, Saudi government should continue its efforts to reduce bureaucracy, simplify regulations, and provide a business-friendly environment. This strategy can help transfer technology and knowledge. Third, the government should monitor and control energy prices, as these can significantly impact economic growth. The government should invest in technological advancement, as this can help reduce carbon dioxide emissions and improve energy efficiency; also, investing in human capital is essential for long-term economic growth. Policies that promote the health, education, and general well-being of the population can lead to a more productive and innovative workforce. However, the article reveals that technological advancements have a negative impact on economic growth in Saudi Arabia. This could be due to a number of factors, such as a lack of skilled workers to implement new technologies or a mismatch between the skills of the workforce and the needs of the economy. As solutions, Saudi government must invest in education and training can help address these challenges by developing a workforce capable of adapting to the changing needs of the economy and effectively using new technologies. Also, it's important to create science and technology parks to foster innovation and collaboration between businesses and universities. By taking these steps, the Saudi government can help create more diverse and knowledge-based economy, making it less dependent on oil and gas exports and more resilient to economic shocks.

The Covid-19 outbreak, corporate financial distress and earnings management.

This study explores the association between the Covid-19 outbreak, corporate financial distress and earnings management practices in China. We investigate whether firms took advantage of the downturn in economic conditions during the pandemic to adjust their earnings using different earnings management techniques. Utilising a sample of 1832 listed firms and underlying theoretical frameworks (i.e., positive accounting and signalling theory), we find that firms were more inclined to manage earnings during the pandemic period. They favoured using the accrual-based rather than the real activity-based earnings management technique. We also find that firms engaged more in income-increasing practices in the shadow of the outbreak. In addition, our results further demonstrate that financially distressed firms were involved in earnings management, particularly accrual-based earnings management. However, compared to privately-owned firms, state-owned enterprises seem to be involved less in earnings management during the Covid-19 pandemic. Findings from this study raise some concerns for policymakers about the credibility of financial reporting information during Covid-19.

Assessing language development in Arabic: The Arabic language: Evaluation of function (ALEF).

Arabic is characterized by extensive dialectal variation, diglossia, and substantial morphological complexity. Arabic lacks comprehensive diagnostic tools that would allow for a systematic evaluation of its development, critical for the early identification of language difficulties in the spoken and written domains. To address this gap, we have developed an assessment battery called Arabic Language: Evaluation of Function (ALEF), aimed at children aged 3 to 11 years. ALEF consists of 17 subtests indexing different language domains, modalities, and associated skills and representational systems. We administered the ALEF battery to native Gulf Arabic-speaking children (n = 467; ages 2.5 to 10.92; 55% boys; 20 children in each 6-month age band) in Saudi Arabia in two data collection waves. Analyses examining the psychometric properties of the instrument indicated that after the removal of misfitting items, the ALEF subtests had reliability coefficients in the range from 0.78 to 0.98, and resulting subtest scores displayed a consistent profile of positive intercorrelations and age effects. Taken together, the results indicate that the ALEF battery has good psychometric properties, and can be used for the purpose of evaluating early language development in Gulf Arabic speaking children, pending further refinement of the test structure, examination of gender-related differential item functioning, and norming.

Do Different Types of Intelligence and Its Implicit Theories Vary Based on Gender and Grade Level?

The current study investigated correlations among gifted students' academic performance; emotional, social, analytical, creative, and practical intelligence; and their implicit theories of intelligence. Furthermore, it studied the effect of gender and grade on these variables. The participants included 174 gifted fifth (41.4%) and sixth (58.6%) grade students, comprising 53.4% male and 46.6% female. The following analytical, creative, and practical intelligence tests were administered: Aurora Battery, the emotional intelligence scale, the implicit theories of intelligence scale, and an assessment scale of students' performances. The results revealed significant correlations among academic performance, kinds of intelligence, and implicit theories of intelligence. There were no significant differences between the male and female students in these measures. There were, however, significant differences between the fifth and sixth grade students, with the sixth-grade students showing higher levels of all kinds of intelligence, except emotional intelligence. Moreover, the results indicated that the intelligence measures were non-significantly affected by either gender or gender-grade interaction. Overall, our results showed that most types of intelligence are related to giftedness, and that there were no gender differences among gifted students on measures of intelligence.

Narrative Language Markers of Arabic Language Development and Impairment.

Purpose We examined indices of narrative microstructure as metrics of language development and impairment in Arabic-speaking children. We examined their age sensitivity, correlations with standardized measures, and ability to differentiate children with average language and language impairment. Method We collected story narratives from 177 children (54.2% boys) between 3.08 and 10.92 years old (M = 6.25, SD = 1.67) divided into six age bands. Each child also received standardized measures of spoken language (Receptive and Expressive Vocabulary, Sentence Imitation, and Pseudoword Repetition). Several narrative indices of microstructure were examined in each age band. Children were divided into (suspected) developmental language disorder and typical language groups using the standardized test scores and compared on the narrative indicators. Sensitivity and specificity of the narrative indicators that showed group differences were calculated. Results The measures that showed age sensitivity included subject omission error rate, number of object clitics, correct use of subject-verb agreement, and mean length of utterance in words. The developmental language disorder group scored higher on subject omission errors (Cohen's d = 0.55) and lower on correct use of subject-verb agreement (Cohen's d = 0.48) than the typical language group. The threshold for impaired performance with the highest combination of specificity and sensitivity was 35th percentile. Conclusions Several indices of narrative microstructure appear to be valid metrics for documenting language development in children acquiring Gulf Arabic. Subject omission errors and correct use of subject-verb agreement differentiate children with typical and atypical levels of language development.

A systematic comparison between infant formula compositions using the Bray-Curtis Similarity Index.

BACKGROUND: Making an informed choice between the available infant formulas is challenging, as there is no unbiased tool allowing a systematic comparison between the very long lists of infant formula compositions. AIM: The aim is to present the Bray-Curtis Similarity Index (BCSI) as a tool for systematic comparison between standard stage-1 infant formula (SS-1-IF) compositions. METHODS: We obtained the nutrient levels from the packaging labels of 23 SS-1-IFs available in Al-Ahsa, Saudi Arabia, in April 2018. The international legislations that launched infant formula standards endorse targeting the minimum rather than the maximum proposed nutrients levels. Thus, we blindly compared between displayed nutrients levels on each of the 23-studied SS-1-IF and the minimum international proposed nutrient levels via using the BCSI. RESULTS: The range of the total displayed components was 38-57. Except for docosahexaenoic acid, all displayed components were within the standard recommended range. The BCSI summarized all displayed nutrients in a single number. The BCSI of the studied SS-1-IF ranged from 0.4141 to 0.79730. We ranked the 23 studied SS-1-IFs based on the higher BCSI is the closer to the minimum proposed nutrient levels. A dendrogram segregated the SS-1-IFs into four clusters based on their BSCI and total numbers of all displayed components. CONCLUSIONS: We think the BCSI is an appropriate tool for a systematic comparison between SS-1-IFs compositions and may help for choosing a SS-1-IF.

Genome-Wide Homozygosity Mapping Reveals Genes Associated With Cognitive Ability in Children From Saudi Arabia.

Recent studies of the genetic foundations of cognitive ability rely on large samples (in extreme, hundreds of thousands) of individuals from relatively outbred populations of mostly European ancestry. Hypothesizing that the genetic foundation of cognitive ability depends on the broader population-specific genetic context, we performed a genome-wide association study and homozygosity mapping of cognitive ability estimates obtained through latent variable modeling in a sample of 354 children from a consanguineous population of Saudi Arabia. Approximately half of the sample demonstrated significantly elevated homozygosity levels indicative of inbreeding, and among those with elevated levels, homozygosity was negatively associated with cognitive ability. Further homozygosity mapping identified a specific run, inclusive of the GRIA4 gene, that survived corrections for multiple testing for association with cognitive ability. The results suggest that in a consanguineous population, a notable proportion of the variance in cognitive ability in the normal range in children might be regulated by population-specific mechanisms such as patterns of elevated homozygosity. This observation has implications for the field's understanding of the etiological bases of intelligence and its variability around the world.

Colon Cancer among Older Saudis: Awareness of Risk Factors and Early Signs, and Perceived Barriers to Screening.

BACKGROUND: Colon cancer screening (CRCS) uptake is markedly affected by public awareness of the disease. This study was conducted to assess levels of knowledge of CRC, to explore the pattern of CRCS uptake and identify possible barriers to screening among Saudis older than 50 years of age and primary care providers (PCPs) in Al Hassa region, Saudi Arabia. MATERIALS AND METHODS: This cross-sectional study was conducted in randomly selected primary health care (PHC) centers, 884 Saudis and 39 PCPs being enrolled for data collection. Structured interviews were conducted to obtain information regarding socio-demographic characteristics, personal information relevant to CRC, awareness about early signs/symptoms and risk factors, and barriers to CRCS. Also, a self- administered data collection form was used to assess barriers to CRCS from the physicians' perspectives. RESULTS: More than 66% of participants were lacking knowledge about CRC. Participants with higher educational levels, having ever heard about CRC, and having relatives with CRC had a significantly higher awareness of the disease. The rate of reported CRCS was low (8.6%). After conducting a logistic regression analysis, it was observed that female gender (OR=0.28; 95% CI=0.14-0.57; P=0.001), being unmarried (OR=0.11; 95% CI=0.10-0.23; P=0.001), lower levels of education (OR=0.36; 95% CI=0.16-0.82; P=0.015), and having no relatives with CRC (OR=0.30; 95% CI=0.17-0.56; P=0.001) were significantly associated with a lower CRCS uptake. There was a significant difference between most of the perceived barriers to CRCS and gender. Exploratory factor analysis showed that personal fear (especially fear of the screening results and shyness) was the major factor that hindered CRCS with high loading Eigen value of 2.951, explaining 34.8% of the barriers of the included sample toward utilization of CRCS, followed by lack of awareness of both person and providers (high Eigen value of 2.132, and explaining 23.7% of the barriers). The most frequently cited barriers to CRCS from the physicians' perspectives were lack of public awareness, lack of symptoms and signs, and fear of painful procedures. CONCLUSIONS: Poor levels of knowledge about CRC were found among older Saudis attending PHC centers in Al Hassa, Saudi Arabia. It is crucial to implement an organized national screening program in Saudi Arabia to increase public awareness.