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The objective of this study was to optimize the production of CMCase by Bacillus licheniformis BCLLNF-01, a strain associated with the mucus of the zoanthid Palythoa caribaeorum (Cnidaria, Anthozoa). Production of total cellulase and CMCase was investigated in the supernatant, intracellular content and wall content. Cultivation was carried out in BLM medium supplemented with 1.5 % (w/v) CMC, 5.5 % (v/v) inoculum, 40 °C, pH 6.5, 500 rpm for 72 h, and the highest activity was recorded in the supernatant. A Rotational Central Composite Design (RCCD) 2³ was used to investigate the influence of the carbon source concentration (CMC-0.5 to 1.5 % w/v), inoculum concentration (1-10 % v/v) and temperature (35-45 °C) on CMCase production. buy Bioactive Compound Library The maximum enzyme activity was achieved for a CMC concentration of 1.5 % w/v at 40 °C, attaining 0.493 IU/mL after 96 h of cultivation.Empyema or infection of the pleural space is a well described complication of pneumonia, however knowledge of culprit pathogens is still evolving. We report a novel case of empyema due to Actinomyces turicensis, a commensal of the oropharynx and female urogenital tract but previously undescribed cause of empyema. We additionally review general pathogenesis of Actinomyces species within the pleural space. Familiarity with this unique pleural infection pathogen is important for selection of adequate antimicrobial therapy given the propensity of anaerobes such as Actinomyces species to disobey anatomic boundaries and recrudescence of infection in the absence of appropriate therapy.In this paper, COVID-19 dynamics are modelled with three mathematical dynamic models, fractional order modified SEIRF model, stochastic modified SEIRF model, and fractional stochastic modified SEIRF model, to characterize and predict virus behavior. By using Euler method and Euler-Murayama method, the numerical solutions for the considered models are obtained. The considered models are applied to the case study of Egypt to forecast COVID-19 behavior for the second virus wave which is assumed to be started on 15 November 2020. Finally, comparisons between actual and predicted daily infections are presented.This paper aims to model the COVID-19 mortality rates in Italy, Mexico, and the Netherlands, by specifying an optimal statistical model to analyze the mortality rate of COVID-19. A new lifetime distribution with three-parameter is introduced by a combination of Rayleigh distribution and extended odd Weibull family to produce the extended odd Weibull Rayleigh (EOWR) distribution. This new distribution has many excellent properties as simple linear representation, hazard rate function, and moment generating function. Maximum likelihood, maximum product spacing and Bayesian estimation methods are applied to estimate the unknown parameters of EOWR distribution. MCMC method is used for the Bayesian estimation. A numerical result of the Monte Carlo simulation is obtained to assess the use of estimation methods. Also, data analysis for the real data of mortality rate is considered.

The purpose of this empirical study was to understand, explore and analyse how the COVID-19 pandemic has affected the mothers of our society, with particular emphasis on Bangladesh, which has so far been a relatively unexplored area.

The study adopted qualitative and interpretative methods of social research, including content analysis and a perception study of 223 respondents through a semi-structured questionnaire survey, who were selected using purposive random sampling. The data obtained from the perception study was further complemented through phone interviews.

The study found that the pandemic has not affected all mothers uniformly; rather, the intensity of its impact varied depending on factors such as the occupation of mothers and their husbands and their family pattern. Despite such variation, all mothers experienced a subsequent increase in workload, challenges while availing routine health facilities and higher levels of stress, anxiety, depression and certain behavioural changes.

However, the worst affected have been the mothers belonging to the lower socio-economic strata because the pandemic has made them and their husbands jobless, leading them towards an uncertain future.

However, the worst affected have been the mothers belonging to the lower socio-economic strata because the pandemic has made them and their husbands jobless, leading them towards an uncertain future.

Compassionate and respectful care (CRC) is an essential element for health care providers (HCPs), which builds a positive environment and intimacy among health care professionals, patients, and families. However, there is a lack of studies examining the prevalence of and factors associated with compassionate and respectful care practice in low-resource countries. Therefore, this study aimed to assess the practice of compassionate and respectful care and its associated factors among the health workforce (HWF).

This mixed-methods study was conducted through quantitative and qualitative data collection from April to May 2019 in North Shewa Zone health care facilities (NSHFs). For quantitative analysis, participants were selected using a systematic random sampling technique. Participants for qualitative analysis were selected using a purposive sampling technique. Data entries were made by EpiData version 3.2 and exported to SPSS version 23 software for analysis. Bivariable and multivariable logistic regressiontinuity by including it in the health care curriculum, improving the health care ethics skill gap, designing appropriate policy to reduce workload, and promoting patient rights.

Compassionate and respectful care among HWF requires an actual demonstration of humanity and kindness to promote person-centered practice for their clients. Therefore, the Ethiopian Federal Ministry of Health should emphasize CRC continuity by including it in the health care curriculum, improving the health care ethics skill gap, designing appropriate policy to reduce workload, and promoting patient rights.

Pandemics such as the current COVID-19 pandemic are often associated with heightened fear and significant adjustments in health behaviours.

This study aimed to assess perceived risk, anxiety and protective behaviours of the general public during the early phase of the coronavirus disease (COVID-19) pandemic in Nigeria.

An online cross-sectional study among 1197 respondents aged 18years and above between 27 April to 16 May 2020.

More than half (61.9%) of the respondents had high risk perception towards COVID-19, and high anxiety level was found in 37.2%. Male gender, being a Christian, having more than 12years of formal education and high risk perception were positively associated with observance of more than one protective measure against COVID-19. The predictors of COVID-19-related anxiety were high risk perception and being a Muslim.

This study showed that risk perception has an influence on both anxiety and observance of protective behaviours. Being a novel experience, this research has implications to support current and future responses to a pandemic experience.