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In this era of data science-driven bioinformatics, machine learning research has focused on feature selection as users want more interpretation and post-hoc analyses for biomarker detection. However, when there are more features (i.e., transcripts) than samples (i.e., mice or human samples) in a study, it poses major statistical challenges in biomarker detection tasks as traditional statistical techniques are underpowered in high dimension. Second and third order interactions of these features pose a substantial combinatoric dimensional challenge. In computational biology, random forest (RF) classifiers are widely used due to their flexibility, powerful performance, their ability to rank features, and their robustness to the "P > > N" high-dimensional limitation that many matrix regression algorithms face. We propose binomialRF, a feature selection technique in RFs that provides an alternative interpretation for features using a correlated binomial distribution and scales efficiently to analyze multiwlogies that provide pathway-level feature selection from gene expression input data.
binomialRF extends upon previous methods for identifying interpretable features in RFs and brings them together under a correlated binomial distribution to create an efficient hypothesis testing algorithm that identifies biomarkers' main effects and interactions. Preliminary results in simulations demonstrate computational gains while retaining competitive model selection and classification accuracies. Future work will extend this framework to incorporate ontologies that provide pathway-level feature selection from gene expression input data.This study explored the influence of habitual caffeine intake on the acute effects of caffeine ingestion on resistance exercise, jumping, and Wingate performance. Resistance-trained males were tested following the ingestion of caffeine (3 mg/kg) and placebo (3 mg/kg of dextrose). Participants were classified as low caffeine users (n = 13; habitual caffeine intake 65 ± 46 mg/day) and as moderate-to-high caffeine users (n = 11; habitual caffeine intake 235 ± 82 mg/day). Exercise performance was evaluated by measuring (a) movement velocity, power, and muscular endurance in the bench press; (b) countermovement jump; and, (c) a Wingate test, performed in that order. Two-way repeated-measures ANOVA revealed a significant main effect (p 0.05; r ranged from -0.29 to 0.32) between habitual caffeine intake and the absolute change in exercise performance. These results suggest that habitual caffeine intake might not moderate the ergogenic effects of acute caffeine supplementation on resistance exercise, jumping, and Wingate performance.Increasing central blood pressure is an independent predictor of cardiovascular disease and is an acute effect of high-intensity resistance exercise. It has been shown that classical music suppresses increased peripheral pressure during exercise. We hypothesized that classical music would suppress increased central pressure induced by high-intensity resistance exercise. To confirm this hypothesis, we examined the effect of classical music on central pressure following high-intensity resistance exercise in 18 young men. A randomized, single-blinded, sham-controlled, crossover trial was conducted under parallel experimental conditions on four separate days. The order of experiments was randomized between sham control (seated rest), music (20-min classical music track compilation), resistance exercise (5 sets of 10 repetitions at 75% of 1 repetition maximum), and resistance exercise with music conditions. Aortic pressure was measured in all subjects. No significant interaction between time, music, and resistance exercise was observed for aortic systolic pressure and diastolic pressure. In contrast, aortic pulse pressure showed a significant interaction; that is, aortic pulse pressure significantly widened after resistance exercise, whereas music significantly attenuated this widening. No significant change was observed in aortic pulse pressure in sham control and music conditions. The present findings suggest that music attenuates resistance exercise-induced increase in central pressure.The aim of this study was to investigate the acute effects of p-synephrine ingestion on substrate oxidation during exercise in elite cyclists. Fifteen elite cyclists volunteered to participate in a double blind, crossover, randomized and placebo-controlled experimental trial. During two different trials, participants either ingested a placebo (cellulose) or 3 mg/kg of p-synephrine. After 60 min for substances absorption, participants performed an incremental maximal cycle ergometer test until volitional fatigue (25 W/min). check details Breath-by-breath gas exchange data was continuously recorded during the entire test to estimate energy expenditure, carbohydrate oxidation, and fat oxidation rates by stoichiometric equations. Heart rate was continuously measured by using a heart rate monitor. The ingestion of p-synephrine had no significant effects on energy expenditure (F = 0.71, P = 0.40) or heart rate (F = 0.66, P = 0.43) during exercise. However, there was a main effect of p-synephrine to increase the rate of fat oxidation over the placebo (F = 5.1, P = 0.04) and the rate of fat oxidation was higher with p-synephrine in the following loads 45 ± 2%, 51 ± 3%, 62 ± 3%, 67 ± 4%, 79 ± 5% and 85 ± 5% of the maximum wattage obtained in the test (all P less then 0.05). The ingestion of p-synephrine did not modify the maximal rate of fat oxidation during the ramp test (mean value; 95%CI = 0.91; 0.79-1.03 vs 1.01; 0.91-1.11 g/min, respectively, P = 0.06) nor the exercise intensity at which maximal fat oxidation was achieved (i.e. Fatmax = 49; 48-53 vs 50; 47-51% Wmax, P = 0.52). Acute p-synephrine ingestion moved the fat oxidation-exercise intensity curve upwards during an incremental cycling test without affecting Fatmax.Child marriage and intimate partner violence have been globally recognized as human rights violations. Both indicators can derail an individual's future and have various public health implications. Previous studies have shown an association between child marriage and domestic violence in low- and middle-income countries; however, data in Afghanistan are not known. This study aimed to assess the association between child marriage and domestic violence in Afghanistan. We used nationally representative data collected by the Demographic and Health Surveys to conduct logistic regression analyses. Child marriage was separated into three categories very early marriage ( less then 15 years), early marriage (15-17 years), and adult marriage (≥18 years). Domestic violence was the response variable and was assessed as any violence, physical violence, emotional violence, and sexual violence. Of the sample (N = 21,324), 15% of the respondents were married before the age of 15; 35% were married between the ages of 15 and 17; and 50% were married as adults.
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