35 research outputs found

    Psychological Distress in Elite Sambo and Recreational Athletes

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    Background: Previous studies suggest that engagement in any type of physical activity can be protective against mental health issues, whereas elite-level athletes can endure various mental health challenges. The aim of this study was to determine variations in the prevalence of psychological distress among elite sambo athletes and their recreational counterparts. Methods: A sample consisting of 245 athletes (127 males and 118 females) was chosen. Out of the total sample, 105 were elite-level athletes while 140 were recreational athletes. Participants were accessed via the Depression Anxiety Stress Scales-21 to determine their stress in various domains at a given time. Results: Data indicated that all tested differences between elite sambo athletes and recreational athletes were statistically significant; recreational athletes had a higher score on the depression scale, anxiety and stress, and a general distress score than sambo athletes. Although there are no gender differences in psychological distress in the total sample of athletes, elite sambo athletes achieve significantly lower scores in all tested variants than recreational ones. Women who engage in recreational activities have stood out as a vulnerable subsample in psychological stress. Conclusion: Future epidemiological and interventional studies should explore optimal strategies to identify mental health needs based on specific sport activity, especially in terms of gender. There is a need to place special emphasis on psychological distress in the context of combat sports

    Drug Absorption Modeling as a Tool to Define the Strategy in Clinical Formulation Development

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    The purpose of this mini review is to discuss the use of physiologically-based drug absorption modeling to guide the formulation development. Following an introduction to drug absorption modeling, this article focuses on the preclinical formulation development. Case studies are presented, where the emphasis is not only the prediction of absolute exposure values, but also their change with altered input values. Sensitivity analysis of technologically relevant parameters, like the drug’s particle size, dose and solubility, is presented as the basis to define the clinical formulation strategy. Taking the concept even one step further, the article shows how the entire design space for drug absorption can be constructed. This most accurate prediction level is mainly foreseen once clinical data is available and an example is provided using mefenamic acid as a model drug. Physiologically-based modeling is expected to be more often used by formulators in the future. It has the potential to become an indispensable tool to guide the formulation development of challenging drugs, which will help minimize both risks and costs of formulation development

    Artificial neural networks as an indicator search engine: The visualization of natural and man-caused taxa variability

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    One of the main challenges in selecting suitable biological indicators of environmental degradation is to recognize the stressor-specific response signal and to separate it from the natural background variability, which can be accomplished by setting an appropriate statistical design, with an output that enables understanding of the recorded indicator signal. In this study we used artificial neural networks (self organizing map (SOM) and geo-self-organizing map (Geo-SOM)) to model and visualize the variability in the chironomid community of the Danube basin, as a model for large non-wadeable rivers. Geo-SOM analysis visualized the longitudinal distribution of significant parameters defining different spatial-distributional types of anthropogenic disturbance. Chironomidae larvae, sampled in both shallow (river bank) and deep (middle) parts of the river, emphasized hydromorphological degradation and zinc as the most important stressing factors, with chlorophyll-a and suspended solids as accompanying variables influencing the community structure. Substrate specificity was shown to be a relevant factor influencing the variability within chironomid community structure bound to natural causes. Geo-SOM analysis also visualized the longitudinal distribution of chironomid taxa, following the distribution patterns of significant disturbance factors. The Kruskal Wallis test validated 25 potential indicators for the shore area and 11 for the deep water area, which significantly changed their frequencies and abundances between classes with different extents of degradation. Due to its high taxonomical and ecological diversity, the Chironomidae family is a significant source of potential stress-specific indicators, which should be recognized and included in the future in relevant bioassessment methods. The artificial neural network could be a powerful tool for selecting reliable indicators to explain the variability found in the ecosystem and enable it to be specified and patterned together with environmental degradation. (c) 2015 Elsevier Ltd. All rights reserved

    Investigation of biological activities and secondary metabolites of hydnum repandum acetone extract

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    © 2019, Romanian Society for Pharmaceutical Sciences. All rights reserved. This study aimed to evaluate the biological activities and polyphenolic contents of the acetone extract of H. repandum mushroom. Polyphenolic compounds were evaluated by high-performance liquid chromatography (HPLC). The antioxidant activity was assessed by radical scavenging activity assays and reducing power. The antimicrobial activity was established based on the values of the minimum inhibitory concentration (MIC) using microdilution method. Cytotoxic activity was determined by 3-4,5-dimethylthiazol-2-yl-2,5-diphenyltetrazolium bromide (MTT). The genotoxic and antimutagenic activities were tested using cytokinesis block micronucleus (CBMN) assay on human peripheral blood lymphocytes in vitro. Among the determined polyphenolic compounds, ferulic acid and quercetin were mostly found. The extract showed high free radical scavenging activity, while the reducing power was less emphasized and concentration-dependent. The MIC fluctuated in a range of 0.009-10 mg/mL. The cytotoxic activity (based on IC50) ranged from 116.5 to 158.33 µg/mL, when HeLa cells were the most sensitive. The highest tested concentrations of the extract showed significant genotoxic activity, while against mitomycin C, the extract caused protective activity. The results indicated that H. repandum acetone extract contained secondary metabolites which showed biological activities such as antioxidant, antimicrobial, cytotoxic, genotoxic and protective against chemotherapeutics, indicating that their inclusion in nutrition could be of great importance in the prevention and treatment of various pathological conditions

    Assessment of chemical-shift and diffusion-weighted magnetic resonance imaging in differentiating malignant and benign vertebral lesions in oncologic patients. A single institution experience

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    To analyze the contribution of two non-standard magnetic resonance imaging (MRI) techniques the chemical-shift image (CSI), and diffusion-weighted imaging (DWI) in distinguishing malignant and benign vertebral bone marrow lesions (VBMLs)
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