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Lewis Standard Salt-Promoted Organosilane Coupling Responses together with Fragrant Electrophiles.
Nowadays, light-emitting diodes (LEDs) as a new lighting technology, have been emerged as an alternative source of light for plants due to their wavelength specificity, the narrow width of their bands, small size, solid structure, long lifetime, and low heat generation. Here we investigated the effect of different LED light sources on the essential oil components and antioxidant activity ofMelissa officinalis. selleck kinase inhibitor Two genotypes of lemon balm (Ilam and Isfahan) were subjected to four artificial light treatments, including white, red, blue, red + blue LEDs, and greenhouse light as natural lighting.

The LED lights significantly increased shoot fresh and dry weights and leaf number in the two genotypes as compared to greenhouse condition. The results showed that the content and composition of essential oil in the two genotypes were variable under different light treatments and the total amount of compounds in the Ilam genotype was higher than the other genotype. The results of analysis of the essential oil by GC/oterpenes, sesquiterpenes, and antioxidant activity in the selected genotypes.
Overall, results indicated that the essentials oil composition of two genotypes of lemon balm was affected both qualitatively and quantitatively by different LED light sources; hence, LED lights might be used to improve monoterpenes, sesquiterpenes, and antioxidant activity in the selected genotypes.There is a rapidly evolving need for e-health to support chronic disease self-management and connect patients with their healthcare teams. Patients with cirrhosis have a high symptom burden, significant comorbidities, and a range of psychological and cognitive issues. Patients with cirrhosis were assessed for their readiness and interest in e-health. Adults attending one of two outpatient cirrhosis clinics in Alberta were recruited. Eligible participants were not required to own or have experience with digital technologies or the Internet. Medical history, socioeconomic status, and attitudes regarding e-health, the Computer Proficiency Questionnaire, and the Mobile Device Proficiency Questionnaire were used to describe participants' knowledge and skills. Of the 117 recruited patients, 68.4% owned a computer and 84.6% owned a mobile device. Patients had mean proficiency scores of 72.8% (SD 25.9%) and 69.3% (SD 26.4%) for these devices, respectively. In multiple regression analyses, significant predictors of device proficiency were age, education, and household income. Most patients (78.7%) were confident they could participate in videoconferencing after training and most (61.5%) were interested in an online personalized health management program. This diverse group of patients with cirrhosis had technology ownership, proficiency, and online behaviours similar to the general population. Moreover, the patients were very receptive to e-health if training was provided. This promising data is timely given the unique demands of COVID-19 and its influence on self-management and healthcare delivery to a vulnerable population.Genome-wide association studies (GWASs) have successfully identified a large amount of single-nucleotide polymorphisms associated with many complex phenotypes in diverse populations. However, a comprehensive understanding of the genetic correlation of associated loci of phenotypes across populations remains lacking and the extent to which associations discovered in one population can be generalized to other populations or can be utilized for trans-ethnic genetic prediction is also unclear. By leveraging summary statistics, we proposed MAGIC to evaluate the trans-ethnic marginal genetic correlation (rm) of per-allele effect sizes for associated SNPs (P  less then  5E-8) under the framework of measurement error models. We confirmed the methodological advantage of MAGIC over general approaches through simulations and demonstrated its utility by analyzing 34 GWAS summary statistics of phenotypes from the East Asian (Nmax = 254,373) and European (Nmax = 1,220,901) populations. Among these phenotypes, rm was estimated to range from 0.584 (se = 0.140) for breast cancer to 0.949 (se = 0.035) for age of menarche, with an average of 0.835 (se = 0.045). We also uncovered that the trans-ethnic genetic prediction accuracy for phenotypes in the target population would substantially become low when using associated SNPs identified in non-target populations, indicating that associations discovered in the one population cannot be simply generalized to another population and that the accuracy of trans-ethnic phenotype prediction is generally dissatisfactory. Overall, our study provides in-depth insight into trans-ethnic genetic correlation and prediction for complex phenotypes across diverse populations.The aim of this study was to evaluate the impact of the COVID-19 pandemic lockdown on acute myocardial infarction (AMI) care, and to identify underlying stressors in the German model region for complete AMI registration. The analysis was based on data from the population-based KORA Myocardial Infarction Registry located in the region of Augsburg, Germany. All cases of AMI (n = 210) admitted to one of four hospitals in the city of Augsburg or the county of Augsburg from February 10th, 2020, to May 19, 2020, were included. Patients were divided into three groups, namely pre-lockdown, strict lockdown, and attenuated lockdown period. An additional survey was conducted asking the patients for stress and fears in the 4 weeks prior to their AMI. The AMI rate declined by 44% in the strict lockdown period; in the attenuated lockdown period the rate was 17% lower compared to the pre-lockdown period. The downward trend in AMI rates during lockdown was seen in STEMI and NSTEMI patients, and independent of sex and age. The door-to-device time decreased by 70-80% in the lockdown-periods. In the time prior to the infarction, patients felt stressed mainly due to fear of infection with Sars-CoV-2 and less because of the restrictions and consequences of the lockdown. A strict lockdown due to the Covid-19 pandemic had a marked impact on AMI care even in a non-hot-spot region with relatively few cases of COVID-19. Fear of infection with the virus is presumably the main reason for the drop in hospitalizations due to AMI.
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