Notes

The Up-date Evaluate in Listeria Contamination while pregnant.
The present study focused on evaluating the effects of oral administration of three different concentrations of Yasmin® combined contraceptive pills (estrogen and progesterone) on reproductive hormones levels, histology of the ovotestis and rate of oviposition of E. read more vermiculata for two months using baits technique. The levels of anti-müllerian hormone (AMH), Follicle stimulating hormone (FSH), Luteinizing hormone (LH), Estradiol (E2), Progesterone(PRG), Thyroid-stimulating hormone (TSH) and Testesterone (T) of treated snails were decreased with increasing the drug concentrations by percentages of -83.3%, -78.9%, - 59.6%,- 98.3 %, - 79.6 %, - 86.7% and 8.2%, respectively. Prolactin (PRL) level was significantly increased (86.9%) compared to control snails after 8 weeks of exposure. Histological investigations on the hermaphrodite glands of snails treated with 909 μg/gm. showed glandular hyperplasia, sloughing of germinal epithelium, acini sizes reduction, suppression of follicular growths, decreased luteinization and vasodilation. Male acini revealed histolytic of spermatogonia and mature sperms. The lowest concentration (303 μg/gm.) caused gradual decrease of the total egg counts that reach 50% at the 8th week of treatment. Higher doses (606 and 909 μg/gm.) resulted in dramatic dwindling of egg numbers and inspiring complete egg cessation at the 7th and 3rd weeks of treatments, respectively. The applications of combined contraceptive drugs as baits give promising results for controlling high population densities of E. vermiculata snails at Sharkia Governorate, Egypt.Potassium (K) has been considered as a non-deficient nutrient in most Ethiopian soils. However, some studies recommended K application to K sufficient soils if K/Mg ratio is 351 mg kg-1). The K/Mg values ranged from 0.60 to 0.80 in Mollic Nitisols (aric, humic), 0.70 to 0.88 in Pellic Vertisols (aric, gilgaic, mazic) and 0.71 to 1.04 in Vertic Luvisols (aric, nitic), and the values increased with an increasing K rates. However, wheat, tef and maize grain yields showed an increasing trend up to K/Mg ratio of 0.71 in Mollic Nitisols (aric, humic), 0.78 in Pellic Vertisols (aric, gilgaic, mazic) and 0.88 in Vertic Luvisols (aric, nitic), respectively, and declined above these values.[This corrects the article DOI 10.1016/j.heliyon.2020.e05185.].Overweight and obesity not only are major risk factors for number of chronic diseases, but also a risk factor for pregnancy complications in women. The present study aims to investigate the association between pre-pregnancy BMI and the persistence and duration of BF. The electronic databases including Medline (PubMed), Scopus, Embase, Web of Science and Google Scholar were searched for papers with titles and/or abstracts including one of our keywords and published up to 15 April 2019. For dose-response relationship, the two-stage random-effects meta-analysis was performed using the "dosresmeta" function in R software. Thirty-two studies with the effect of pre-pregnancy BMI on BF initiation, intention and duration were included in the present study. Based on crude and adjusted OR models, the risk of BF cessation increased by 4% (OR = 1.04; 95% CI 1.02-1.05) with an increase in a unit of BMI. In addition, based on crude and adjusted RR models, the risk of BF cessation increases by 2% and 1% (crude RR = 1.02; 95% CI 1.01-1.03 and adjusted RR = 1.01; 95% CI 0.99-1.02) with an increase in one unit of BMI. Based on the result, the health care professionals and other key stakeholders should be aware of the impact excess weight, and that women who are overweight or obese should be encouraged with continued access to guidance, counseling and support, starting from conception, to maximize BF outcomes.The use of Deep Neural Networks for remote sensing scene image analysis is growing fast. Despite this, data sets on developing countries are conspicuously absent in the public domain for benchmarking machine learning algorithms, rendering existing data sets unrepresentative. Secondly, current literature uses low-level semantic scene image class definitions, which may not have many relevant applications in certain domains. To examine these problems, we applied Convolutional Neural Networks (CNN) to high-level scene image classification for identifying patterns in urban housing density in a developing country setting. An end-to-end model training workflow is proposed for this purpose. A method for quantifying spatial extent of urban housing classes which gives insight into settlement patterns is also proposed. The method consists of computing the ratio between area covered by a given housing class and total area occupied by all classes. In the current work this method is implemented based on grid count, whereby the number of predicted grids for one housing class is divided by the total grid count for all classes. Results from the proposed method were validated against building density data computed on OpenStreetMap data. Our results for scene image classification are comparable to current state-of-the-art, despite focusing only on most difficult classes in those works. We also contribute a new satellite scene image data set that captures some general characteristics of urban housing in developing countries. The data set has similar but also some distinct attributes to existing data sets.The paper aims to study gender differences in self-representation and involvement in political communication in social networks. The author presents the results of the study of Facebook postings within a viral flashmob 'The Island of the '90's' devoted to a controversial period of Russia's modern history. The author offers the rationale for their attribution to an online segment of political communication. A multidisciplinary approach involving the combination of methodologies of discourse analysis and content analysis served as guidelines for the study. A discourse analysis based on the sociocognitive approach to political discourse helps identify three stages of the flashmob evolution in the three series of postings private memories, political discussions of the 1990s, and attitudes towards the flashmob. These three series of postings form and organise a three-level structure of the flashmob. Each level is characterised by a different extent of its involvement in the political context. Comparative analysis of male and female participation in the flashmob reveals gender asymmetry in the flashmob discourse structure and at its structural levels.
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