How is the Effect of Physical Activity on Non-Alcoholic Fatty Liver in Obese People? A Mini Review

Nonalcoholic fatty liver is known in the general public as an epidemic disease. The purpose of this mini-review was to determine a link between physical education (PA) and the risk of nonalcoholic fatty liver disease (NAFLD) determine the influence of an exercise method (volume and kind of exercise) on being health outcome. Body mass index (BMI) was the good criteria for classifying obesity. It is ranges from underweight (<18.5 kg/m2) to severe or unhealthy obesity (≥40 kg/m2). Most time exercise was sufficient to reduce advanced fibrosis in almost 50% including moderated aerobic exercise for 2.5–5 hours a week, or 1–2.5 hours a week on vigorous intense exercise. Different intensities of physical activity is affected on fatty liver factors and volume and exercise method stimulate improvements in related health outcome measures in obese people. Prolonged inactivity time was increased the prevalence of NAFLD. The final results were shown the influence of PA at different intensities and volume on NAFLD. Then a healthy lifestyle can improve the quality of life and physical health.

Efficacy of Souroubea-Platanus Dietary Supplement Containing Triterpenes in Beagle Dogs Using a Thunderstorm Noise-Induced Model of Fear and Anxiety

A novel botanical dietary supplement, formulated as a chewable tablet containing a defined mixture of Souroubea spp. vine and Platanus spp. Bark, was tested as a canine anxiolytic for thunderstorm noise-induced stress (noise aversion). The tablet contained five highly stable triterpenes and delivered 10 mg of the active ingredient betulinic acid (BA) for an intended 1 mg/kg dose in a 10 kg dog. BA in tablets was stable for 30 months in storage at 23 °C. Efficacy of the tablets in reducing anxiety in dogs was assessed in a blinded, placebo-controlled study by recording changes in blood cortisol levels and measures of behavioral activity in response to recorded intermittent thunder. Sixty beagles were assigned into groups receiving: placebo, 0.5×, 1×, 2×, and 4× dose, or the positive control (diazepam), for five days. Reduction in anxiety measures was partially dose-dependent and the 1× dose was effective in reducing inactivity time (p = 0.0111) or increased activity time (p = 0.0299) compared with placebo, indicating a decrease in anxiety response. Cortisol measures also showed a dose-dependent reduction in cortisol in dogs treated with the test tablet.

Quantile regression on inactivity time

The inactivity time, or lost lifespan specifically for mortality data, concerns time from occurrence of an event of interest to the current time point and has recently emerged as a new summary measure for cumulative information inherent in time-to-event data. This summary measure provides several benefits over the traditional methods, including more straightforward interpretation yet less sensitivity to heavy censoring. However, there exists no systematic modeling approach to inferring the quantile inactivity time in the literature. In this paper, we propose a semi-parametric regression method for the quantiles of the inactivity time distribution under right censoring. The consistency and asymptotic normality of the regression parameters are established. To avoid estimation of the probability density function of the inactivity time distribution under censoring, we propose a computationally efficient method for estimating the variance–covariance matrix of the regression coefficient estimates. Simulation results are presented to validate the finite sample properties of the proposed estimators and test statistics. The proposed method is illustrated with a real dataset from a clinical trial on breast cancer.

Experimental Analysis of the Application of Serverless Computing to IoT Platforms

Serverless computing, especially implemented through Function-as-a-Service (FaaS) platforms, has recently been gaining popularity as an application deployment model in which functions are automatically instantiated when called and scaled when needed. When a warm start deployment mode is used, the FaaS platform gives users the perception of constantly available resources. Conversely, when a cold start mode is used, containers running the application’s modules are automatically destroyed when the application has been executed. The latter can lead to considerable resource and cost savings. In this paper, we explore the suitability of both modes for deploying Internet of Things (IoT) applications considering a low resources testbed comparable to an edge node. We discuss the implementation and the experimental analysis of an IoT serverless platform that includes typical IoT service elements. A performance study in terms of resource consumption and latency is presented for the warm and cold start deployment mode, and implemented using OpenFaaS, a well-known open-source FaaS framework which allows to test a cold start deployment with precise inactivity time setup thanks to its flexibility. This experimental analysis allows to evaluate the aptness of the two deployment modes under different operating conditions: Exploiting OpenFaaS minimum inactivity time setup, we find that the cold start mode can be convenient in order to save edge nodes limited resources, but only if the data transmission period is significantly higher than the time needed to trigger containers shutdown.

A New Lifetime Distribution: Properties, Copulas, Applications, and Different Classical Estimation Methods

A new continuous version of the inverse flexible Weibull model is proposed and studied. Some of its properties such as quantile function, moments and generating functions, incomplete moments, mean deviation, Lorenz and Bonferroni curves, the mean residual life function, the mean inactivity time, and the strong mean inactivity time are derived. The failure rate of the new model can be “increasing-constant,” “bathtub-constant,” “bathtub,” “constant,” “J-HRF,” “upside down bathtub,” “increasing,” “upside down-increasing-constant,” and “upside down.” Different copulas are used for deriving many bivariate and multivariate type extensions. Different non-Bayesian well-known estimation methods under uncensored scheme are considered and discussed such as the maximum likelihood estimation, Anderson Darling estimation, ordinary least square estimation, Cramér-von-Mises estimation, weighted least square estimation, and right tail Anderson Darling estimation methods. Simulation studies are performed for comparing these estimation methods. Finally, two real datasets are analyzed to illustrate the importance of the new model.

Weighted proportional mean inactivity time model

<abstract><p>In this paper, a mean inactivity time frailty model is considered. Examples are given to calculate the mean inactivity time for several reputable survival models. The dependence structure between the population variable and the frailty variable is characterized. The classical weighted proportional mean inactivity time model is considered as a special case. We prove that several well-known stochastic orderings between two frailties are preserved for the response variables under the weighted proportional mean inactivity time model. We apply this model on a real data set and also perform a simulation study to examine the accuracy of the model.</p></abstract>

Structure, Intensity and Player Duels in Under-13 Football Training in Switzerland

We evaluated the structure (i.e., the different training parts), contents (i.e., the various activities used), intensity and occurrence of contact situations and headers during training sessions in under-13 football in Switzerland. A total of 242 players from 20 different teams on average aged 11.4 (SD 0.7) years participated. The participants were filmed during a typical training session while they were equipped with a heart rate sensor. The sessions were systematically recorded to allow for detailed analyses. Furthermore, a preliminary and explorative analysis of the influence of the level of play on these results was conducted. The overall findings indicated that training included 33.4% playing forms, 29.5% training forms, 28.4% inactivity time and 8.7% athletics. The highest heart rates were achieved in the playing forms (166 min−1, 83% HRmax) compared to the other two activities (training forms 154 min−1, 77% HRmax; athletics 150 min−1, 75% HRmax). Each player had 12.8 duels and 0.6 headers per training. Overall, most duels were conducted from the anterior direction. Playing forms induce higher cardio-circulatory load as well as a better learning environment. Potentially dangerous situations like contact with other players or headers occurred in a single player on average every six min during a training session.

Evaluation of antioxidant and antidepressant activity of hydro-alcoholic extract of Ximenia americana stem bark

The present study was undertaken to evaluate the antioxidant and antidepressant activity of hydroalcoholic extract of Ximenia americana in case of Sodium fluoride induced toxicity on ICR mices. Antioxidant activity of the plant was evaluated in vitro through 2,2’-Azobis (2-Amidino-propane) Dihydrochloride test, metal chelating assay and total antioxidant capacity and in vivo through evaluation of malondialdehyde content in brain and liver. Antidepressant activity was evaluated through tail suspension test. In vitro evaluation of antioxidant activity showed that hydro-alcoholic extract of stem bark of Ximenia americana possesses a total antioxidant capacity of 303.081 ± 4.946 mg equivalent ascorbic acid per gram. From 2, 2’-Azobis (2-Amidino-propane) Dihydrochloride and metal chelating tests, it emerged that the extract inhibits hemolysis and chelates metals concentration-dependent manner. Animals were randomly divided into four groups with five animals in each group. The control group received distilled water, group II received sodium fluoride at dose of 13.6 mg/kg body weight, group III and group VI: received respectively hydro-alcoholic extract of Ximenia americana at 250 mg/kg and 500 mg/kg with sodium fluoride during 7 days. Results showed sodium fluoride decrease animal’s body weight even at the presence of the extract, increased significantly animal’s inactivity time and malondialdehyde levels in liver and brain. Animal’s inactivity time and malondialdehyde levels were significantly improved at the presence of the hydro-alcoholic extract of Ximenia americana. Ximenia americana have potential to mitigate sodium fluoride toxicity.