This study examines the communication strategies employed by Qatar’s government in dealing with the COVID-19 pandemic. The study contributes to a growing body of work on the sociolinguistics of crisis communication. We focus on the use of South and Southeast Asian languages, spoken largely by blue-collar migrant workers, which are often seen as peripheral even though they are spoken by a large segment of the population. The deployment of these languages during Qatar’s COVID-19 awareness campaign assumes further significance against the backdrop of a series of measures taken by the government in the last few years to strengthen the status and use of Arabic. We analyze multilingual printed pamphlets, multilingual audio-visual communication through radio and social media, as well as interviews conducted with key figures who were part of the awareness campaign. Our examination of the availability, accessibility, acceptability, and adaptability of the multilingual awareness materials reveals that while the different languages and modes of communication were important in spreading awareness, equally critical, if not more, was who carried the information and in what forms. We show the significant roles community and religious leaders and social media influencers played in disseminating the awareness information to the diverse migrant language communities.

Inflammation is responsible for the development of many diseases that make up a significant cause of death. The purpose of the study was to develop a novel nanophytosomal preparation of epigallocatechin-3-gallate (EGCG) and egg phospholipid complex that has a lower particle size with higher drug loading capability, physical stability and anti-inflammatory activities. The impact of different factors and material characteristics on the average particle size was studied along with the drug loading of phytosome using design of experiment (DoE). The in vivo anti-inflammatory study was evaluated using a rat model to investigate the performance of EGCG nanophytosome. UHPLC results showed that 500 µg of EGCG were present in 1 mL of green tea extract. SEM data exhibited that phytosome (phospholipid-drug complex) was in the nanosize range, which was further evident from TEM data. Malvern Zetasizer data showed that the average particle size of the EGCG nanophytosome was in the range of 100–250 nm. High drug loading (up to 90%) was achieved with optimum addition rate, stirring temperature and phospholipid concentration. Stability study data suggest that no significant changes were observed in average particle size and drug loading of nanophytome. The in vivo anti-inflammatory study indicated a significant anti-inflammatory activity of green tea extract, pure EGCG and its phytosomal preparations (p ≤ 0.001) against acute paw edema.

Recent studies from the author's laboratory indicated that camel urine possesses antiplatelet activity and anti-cancer activity which is not present in bovine urine. The objective of this study is to compare the volatile and elemental components of bovine and camel urine using GC-MS and ICP-MS analysis. We are interested to know the component that performs these biological activities. The freeze dried urine was dissolved in dichloromethane and then derivatization process followed by using BSTFA for GC-MS analysis. Thirty different compounds were analyzed by the derivatization process in full scan mode. For ICP-MS analysis twenty eight important elements were analyzed in both bovine and camel urine. The results of GC-MS and ICP-MS analysis showed marked difference in the urinary metabolites. GC-MS evaluation of camel urine finds a lot of products of metabolism like benzene propanoic acid derivatives, fatty acid derivatives, amino acid derivatives, sugars, prostaglandins and canavanine. Several research reports reveal the metabolomics studies on camel urine but none of them completely reported the pharmacology related metabolomics. The present data of GC-MS suggest and support the previous studies and activities related to camel urine.

The ‘sociolinguistics of Islam’ refers to the exploration of how language and society intersect within contexts where the Islamic faith is the defining worldview shaping language, literacy, and other processes of semiosis. This article proposes a heuristic that extends sociolinguistic scholarship by advancing a research agenda focussed on Islamic sociolinguistic ecologies. We demonstrate how Islam’s rather stable textual historicity is in constant dialogue with local language ecologies, resulting in a plethora of contemporary and localized variations in spoken and written discourses and auditory cultures. A sociolinguistics of Islam not only traverses various subfields of applied linguistics, but necessitates the incorporation of theology, multilingualism, and historicity into its analytic inquiry. We argue that this framework confers us with greater theoretical and methodological purchase on how various languages adapt—or resist—the influence of Islam in autochthonous discourses, particularly in contexts where Muslim populations expand, leading to diverse forms of religious vernacularisation. This article sets the foundations for inquiry into how Islam influences language policy, learning, religious expression, and sociolinguistic phenomena within Muslim communities worldwide.

Background and Objectives: Ficus benghalensis (FB) is a commonly found tree in Pakistan and its various parts have folkloric importance in managing neurological ailments. In the present study, methanolic extract of its bark has been tested on an experimental animal model to evaluate memory-enhancing, anxiolytic and antidepressant activities to validate the claimed therapeutic potential. Materials and Methods: Methanolic extract of freshly isolated bark was prepared and subjected to preliminary phytochemical studies and gas chromatography–mass spectrometry (GC–MS) analysis for the presence of phytocomponents. To evaluate its effect on spatial learning, passive-avoidance test–step through (PAT-ST), Y-maze and Morris water maze (MWM) tests were carried out. Open-field (OFT) and elevated plus maze (EPM) tests were employed to explore the anti-anxiety potential of FB while a forced swimming test (FST) was utilized to assess its anti-depressant prospective. FB doses of 100, 200 and 300 mg/kg with positive and negative controls given to Sprague Dawley (SD) rats. Results: phytochemical studies showed the presence of various phytoconstituents including alkaloids, flavonoids, terpenes, phenolics and anthraquinones. The presence of synephrine, aspargine, glucose, fructose and fatty acids was revealed by GC–MS analysis. FB administration led to significant improved memory retention when evaluated through passive avoidance (p < 0.05), Y-maze (p < 0.05) and Morris water maze (p < 0.05) tests in a scopolamine model of amnesic rats. When tested by open field and elevated plus maze tests, FB demonstrated anxiety-resolving characteristics (p < 0.05) as animals dared to stay in open areas more than a control group. Mobility time was increased and immobility time was reduced (p < 0.05–0.01) in rats treated with FB, unveiling the anti-depressant importance of F. benghalensis. Conclusion: methanolic extract of F. benghalensis bark furnished scientific proof behind folkloric claims of the memory improving, anxiety-reducing and depression-resolving characteristics of the plant. These activities might be possible due to interaction of its phytoconstituents with serotonergic, glutamatergic, cholinergic and GABAergic systems in the brain.

Opioid-related deaths are attributed to overdoses, and fentanyl overdose has been on the rise in many parts of the world, including the USA. Glutamate transporter 1 (GLT-1) has been identified as a therapeutic target in several preclinical models of substance use disorders, and β-lactams effectively enhance its expression and function. In the current study, we characterized the metabolomic profile of the nucleus accumbens (NAc) in fentanyl-overdose mouse models, and we evaluated the protective effects of the functional enhancement of GLT-1 using β-lactams, ceftriaxone, and MC-100093. BALB/c mice were divided into four groups: control, fentanyl, fentanyl/ceftriaxone, and fentanyl/MC-100093. While the control group was intraperitoneally (i.p.) injected with normal saline simultaneously with other groups, all fentanyl groups were i.p. injected with 1 mg/kg of fentanyl as an overdose after habituation with four repetitive non-consecutive moderate doses (0.05 mg/kg) of fentanyl for a period of seven days. MC-100093 (50 mg/kg) and ceftriaxone (200 mg/kg) were i.p. injected from days 5 to 9. Gas chromatography–mass spectrometry (GC-MS) was used for metabolomics, and Western blotting was performed to determine the expression of target proteins. Y-maze spontaneous alternation performance and the open field activity monitoring system were used to measure behavioral manifestations. Fentanyl overdose altered the abundance of about 30 metabolites, reduced the expression of GLT-1, and induced the expression of inflammatory mediators IL-6 and TLR-4 in the NAc. MC-100093 and ceftriaxone attenuated the effects of fentanyl-induced downregulation of GLT-1 and upregulation of IL-6; however, only ceftriaxone attenuated fentanyl-induced upregulation of TRL4 expression. Both of the β-lactams attenuated the effects of fentanyl overdose on locomotor activities but did not induce significant changes in the overall metabolomic profile. Our findings revealed that the exposure to a high dose of fentanyl causes alterations in key metabolic pathways in the NAc. Pretreatment with ceftriaxone and MC-100093 normalized fentanyl-induced downregulation of GLT-1 expression with subsequent attenuation of neuroinflammation as well as the hyperactivity, indicating that β-lactams may be promising drugs for treating fentanyl use disorder.