Carstensbailey1751

To enable an interactive search for combinations of protocol elements, CLIPS provides optional next element selection according to the previous element in the form of a connected tree. The validation results show that our method achieves better performance than that of existing databases in predicting phenotypic features.Social distancing interventions can be effective against epidemics but are potentially detrimental for the economy. Businesses that rely heavily on face-to-face communication or close physical proximity when producing a product or providing a service are particularly vulnerable. There is, however, no systematic evidence about the role of human interactions across different lines of business and about which will be the most limited by social distancing. Here we provide theory-based measures of the reliance of U.S. businesses on human interaction, detailed by industry and geographic location. We find that, before the pandemic hit, 43 million workers worked in occupations that rely heavily on face-to-face communication or require close physical proximity to other workers. Many of these workers lost their jobs since. Consistently with our model, employment losses have been largest in sectors that rely heavily on customer contact and where these contacts dropped the most retail, hotels and restaurants, arts and entertainment and schools. Our results can help quantify the economic costs of social distancing.Larvae of Hermetia illucens, also commonly known as black soldier fly (BSF) have gained significant importance in the feed industry, primarily used as feed for aquaculture and other livestock farming. Mathematical models such as the Von Bertalanffy growth model and dynamic energy budget models are available for modelling the growth of various organisms but have their demerits for their application to the growth and development of BSF. Also, such dynamic models were not yet applied to the growth of the BSF larvae despite models proven to be useful for automation of industrial production process (e.g. feeding, heating/cooling, ventilation, harvesting, etc.). This work primarily focuses on developing a model based on the principles of the afore mentioned models from literature that can provide accurate mathematical description of the dry mass changes throughout the life cycle and the transition of development phases of the larvae. To further improve the accuracy of these models, various factors affecting the growth and development such as temperature, feed quality, feeding rate, moisture content in feed, and airflow rate are developed and integrated into the dynamic growth model. An extensive set of data was aggregated from various literature and used for the model development, parameter estimation and validation. Models describing the environmental factors were individually validated based on the data sets collected. In addition, the dynamic growth model was also validated for dry mass evolution and development stage transition of larvae reared on different substrate feeding rates. The developed models with the estimated parameters performed well, highlighting their potential application in decision-support systems and automation for large scale production.

Cervical cancer is a malignant tumor of the lower-most part of the uterus and major cause of morbidity and mortality among women's in the world. Its high mortality rate in the globe can be reduced through comprehensive approaches' that include; primary prevention, early diagnosis, effective screening, and treatment packages. This study was aimed to assess the knowledge and practice of cervical cancer screening and its associated factors among reproductive age group women in districts of Gurage zone, Southern Ethiopia, 2019.

A community-based cross-sectional study design was conducted from March 1-30, 2019. A total of 268 respondents were selected using a systematic sampling technique. Data was collected using pretested, semi-structured, and interviewer-administered questionnaires. Data were entered into Epi data version 3.1software and exported to SPSS 24 for analysis. Bivariate and multivariate analyses with a 95% confidence level was done and variables (P <0.05) were deemed statistically significant.tional status, family history of cervical cancer, having plans to screen for cervical cancer, age at first sex and age of menarche. Therefore, all concerned bodies need to focus on women in the reproductive age group to increase the level of knowledge and practice of cervical cancer screening through appropriate interventions.

The study findings indicate that respondents' practice and knowledge of cervical cancer is mainly affected by early age at first sex, having information about cervical cancer, multiple sexual partners, Educational status, family history of cervical cancer, having plans to screen for cervical cancer, age at first sex and age of menarche. Ruboxistaurin price Therefore, all concerned bodies need to focus on women in the reproductive age group to increase the level of knowledge and practice of cervical cancer screening through appropriate interventions.

VLCFA levels correlate with the severity of the clinical course of ZS, DBP and mild ZSD. The best predictive value for estimating the projected disease severity and survival time is a concentration of C260.

VLCFA levels correlate with the severity of the clinical course of ZS, DBP and mild ZSD. The best predictive value for estimating the projected disease severity and survival time is a concentration of C260.The 32-item Motor Function Measure (MFM32) is an assessment of motor function, and its measurement properties were established in a broad neuromuscular disease population. This study sought to investigate the reliability, validity, and ability to detect change of MFM32 in individuals with Type 2 and non-ambulant Type 3 spinal muscular atrophy (SMA). Data were used from the Phase 2 study assessing the efficacy and safety of olesoxime. A total of 110 individuals with Type 2 or 3 SMA were included in the analyses. Test-retest reliability (intraclass-correlation coefficient in global impression-defined stable individuals), internal consistency (Cronbach's alpha), convergent validity (Spearman rank order correlations with other measures), known-groups validity (analysis of covariance comparing Hammersmith Functional Motor Scale -defined groups), and ability to detect change (analysis of covariance comparing global impression-defined groups) were calculated. Strong evidence of test-retest reliability (intraclass-correlation coefficient = 0.