Carsonrobinson4751

Increasing emergence and spread of Nipah, ZIKV and Ebola case and potential outbreaks threats have been reported in several regions around the globe. Yet, emerging Nipah, Ebola and Zika viral diseases outbreaks have been indirectly linked to substantially globalization of trade and travel, climate change and intense urbanization impact, healthcare and socioeconomic inequities as well in affected community settings. Although no case has been documented in Saudi Arabia, there is a great risk of sudden emergence of any of these viruses and others via introducing among pilgrims coming from endemic regions during ritual ceremonies of mass gatherings. Consequently, promoting and investing on new and sensitive proven effective and innovative surveillance and monitoring approaches, including enhanced risk communication, improved integrated vectors surveillance in addition to improved sustainable highly pathogens surveillance control programs to human motility and environmental sanitation strategies all represent 'Oneffectiveness is needed through One Health approach integration in attaining pilgrims and local population health safety and security, in advancing Saudi sustainable health development goals. BACKGROUND The usefulness of laboratory tests in the decision-making process with regard to early identification of dengue virus infection has not been widely reported, particularly the aspartate aminotransferase (AST)/platelet count ratio index during a patient's days of illness. The aim of this study was to examine the pattern of the ratio index over the course of illness and identify whether it is a marker of dengue virus infection in dengue patients, as well as to assess the role of other laboratory tests. METHODS A chart review of 205 dengue patients was analyzed using available records of 845 laboratory results within different time intervals or exam dates during the course of illness. JNJ-64619178 research buy We used repeated measures mixed binary logistic regression analyses to model the dengue virus infection, defined as giving at least one positive antibody test (yes/no). RESULTS The high risk of dengue virus infection in dengue patients was found in the male gender (adjusted OR=4.316, 95% CI 1.285-14.498, P=0.018), in patients with a high AST/platelet count ratio index (adjusted OR=1.438, 95% CI 1.057-1.957, P=0.021), in patients with a low MCV level (adjusted OR=0.815, 95% CI 0.679-0.978, P=0.028), and in patients with a low ALT level (adjusted OR=0.996, 95% CI 0.993-0.999, P=0.010). CONCLUSION Laboratory markers, in particular the AST/platelet count ratio index, can be useful for clinicians to strengthen the decision-making process in primary care settings. Furthermore, our model revealed that low MCV and low ALT are predictors of the dengue virus infection, while being a male increases the risk of dengue virus infection. More studies are needed to evaluate the impact of the AST/platelet count ratio index on the severity of dengue fever infection during the onset of symptoms and course of treatment. Stress can induce reproductive deficits by activating the HPA and causing oxidative stress. Some studies have indicated that the neurologic diseases or disorders induced by stress could be relieved by probiotics. Whether chronic unpredictable stress (CUS)-induced reproductive deficits could be prevented by probiotics is unclear. The present experiment was designed to evaluate the effects of L. rhamnosus Gorbach-Goldin (LGG) on CUS-induced reproductive deficits. Kunming mice were divided into control, stress, and LGG groups randomly. The mice in stress and LGG groups were exposed to CUS for 40days, in the meantime, the mice in LGG group were orally administered with LGG suspension at a dose of 0.3 mL/mouse (1×1010 cells/mL), and the mice in control and stress groups were orally administered with volume-equivalent sterile saline once a day. The results showed that the CUS-induced the sperm deficits including the count, motility, morphology, ultrastructure, DNA integrity, and chromatin condensation were protected by oral administration of LGG. In addition, the change of testosterone level induced by CUS was prevented by up-regulating the expressions of StAR and P450scc in the testes. Moreover, LGG could increase the activities of catalase, glutathione peroxidase, and superoxide dismutase significantly, and decrease the levels of oxidative products malondialdehyde and protein carbonyls significantly, as well as the levels of cyclooxygenase 2, interleukin (IL)-1β, IL-6, and tumor necrosis factor-α, to block the CUS-induced inflammatory response and the oxidative stress. The results indicated that the CUS-induced male reproductive deficits could be prevented by oral administration of LGG. V.PURPOSE Radiomics are a set of methods used to leverage medical imaging and extract quantitative features that can characterize a patient's phenotype. All modalities can be used with several different software packages. Specific informatics methods can then be used to create meaningful predictive models. In this review, we will explain the major steps of a radiomics analysis pipeline and then present the studies published in the context of radiation therapy. METHODS A literature review was performed on Medline using the search engine PubMed. The search strategy included the search terms "radiotherapy", "radiation oncology" and "radiomics". The search was conducted in July 2019 and reference lists of selected articles were hand searched for relevance to this review. RESULTS A typical radiomics workflow always includes five steps imaging and segmenting, data curation and preparation, feature extraction, exploration and selection and finally modeling. In radiation oncology, radiomics studies have been published to explore different clinical outcome in lung (n=5), head and neck (n=5), esophageal (n=3), rectal (n=3), pancreatic (n=2) cancer and brain metastases (n=2). The quality of these retrospective studies is heterogeneous and their results have not been translated to the clinic. CONCLUSION Radiomics has a great potential to predict clinical outcome and better personalize treatment. But the field is still young and constantly evolving. Improvement in bias reduction techniques and multicenter studies will hopefully allow more robust and generalizable models.