Methods The present cross-sectional study examined the efficacy of psychoeducational-interactive-therapeutic software for patients with manic depression, that is a network-based pc software offering a researcher-made survey in a well planned manner. This computer software can predict the occurrence of future bipolar attacks for every patient using artificial intelligence formulas following the occurrence of two mood episodes while the training stage. The clients with manic depression were expected to make use of the application for a year and their mood attacks had been compared before and after utilizing the pc software. We measure the dependability for the questionnaires within the pc software with inner consistency making use of alpha Cronbach make sure test-retest evaluation. Face validity and content credibility Malaria immunity were additionally examined. Results this content credibility list of the tool had been 93%, together with Cronbach’s alpha coefficient associated with entire survey ended up being 0.955. Additionally, the ICC coefficient with this questionnaire is above 0.70, and the correlation coefficient associated with the answers in most Ponatinib chemical structure constructs of the questionnaire is much more than 0.8. Thirty male clients with bipolar disorder which experienced four attacks of mood swings each year practiced on average 2 feeling episodes per year following use of this software. Conclusion Our Psychoeducational-interactive-therapeutic software program is initial Persian language software according to artificial cleverness to monitor medical symptoms in customers with bipolar disorder, which makes use of a regular survey to predict the occurrence of attacks of depression and mania within these patients.Background COVID-19 is the leading global health issue. Low- and middle-income countries (LMICs) face challenges in supplying COVID-19 vaccines. To assess an adjunctive preventive measure for COVID-19 burden, we aimed to evaluate the connection of influenza vaccination in the earlier 12 months with effects of COVID-19 in affirmed instances after adjustment for appropriate factors. Methods This potential research had been carried out with the provincial registry of confirmed COVID-19 instances in East-Azerbaijan province in North-West of Iran. The primary effects had been COVID-19 death and hospitalization. The influenza vaccination record in 2019 had been collected by phone calls. Information analysis had been done by SPSS software version 16, separately for healthcare employees as well as the general population. The logistic regression model was used to compare the covariates in influenza vaccinated versus unvaccinated patients. Results From 1 March to 10 October 2020, 17,213 good COVID-19 instances had been signed up, of which 916 customers were included. A complete of 88 customers (9.6%) deceased due to COVID-19. Two hundred topics (21.8%) reported receiving the influenza vaccine in the past year. Healthcare workers had a significantly greater vaccination price than the general population (28.9% vs. 7.1%; p less then 0.001). After modification for socioeconomic and health covariates, the vaccinated situations when you look at the general populace had 84% reduced likelihood of death (OR 0.16; 95%CI 0.05-0.60; p=0.017). In multivariate analysis, the influenza vaccination record in the previous year tumour biology wasn’t notably associated with the reduced COVID-19 hospitalization price. Conclusion The flu vaccination rate was not optimal within our community. The flu vaccination can be an unbiased preventing element for COVID-19 mortality when you look at the general population. The influenza vaccine can be considered as a fruitful adjutant preventive countermeasure for the COVID-19 burden.Background Productivity is one of the most important factors of development in pharmaceutical businesses, that will be in direct connection with research and development (R&D) staff members. The research aimed to spot and prioritize the effective aspects for improving the R&D Activities of Iranian pharmaceutical holding. Methods This case study ended up being carried out by a questionnaire designed into two sectors, demographic profile data, and nine attitude factors. The survey ended up being distributed to Iranian pharmaceutical holding. The key sampling targets were supervisors and employees associated with the R&D department. Cronbach’s alpha considered the dependability of this survey, as well as the credibility associated with the survey had been calculated because of the content validity strategy. Descriptive analyses were done using frequency, percentage, imply, standard deviation, and variance. Additionally, Kolmogorov-Smirnov, Pearson correlation coefficient, F test, and Friedman test were used as relative and inferential analyses. Results A total of 65 questionnaires had been gathered (43 tend to be men and 22 are women) from 11 companies of an Iranian pharmaceutical holding. The 5-10 several years of work knowledge about doctorate knowledge amounts were common. Based on the position done in the data with the Friedman test method, financial aspects had been named the most crucial and individual factors whilst the least important aspects.
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