Articles Related to allergies

Allergenic diseases are on the rise in the United States and already affect 50 million Americans. Ambrosia pollen is one of the most allergenic forms of pollen, partially due to the shear volume of pollen that each Ambrosia plant generates. This paper describes a machine learning approach used to forecast the Ambrosia pollen levels in Tulsa, Oklahoma. Machine learning along with comprehensive environmental data (reflectance values derived from Landsat satellite images and parameters from the NASA MERRA meteorological analysis) are utilized to predict Ambrosia pollen levels. The outcome shows an improvement over previous studies and gives new information that could be advantageous for future pollen forecasting. In this study, 21 different machine learning approaches for predicting the ragweed pollen levels were tested. These studies highlighted several Landsat variables were useful in forecasting the ragweed pollen levels, including the shortwave infrared (SWIR1) and near-infrared (NIR) reflectance of various time lags.

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In this study, we focused on the effect of β-glucan supplementation of children with chronic respiratory problems. We measured the levels of cortisol, salivary IgE and cotinine in 56 children and evaluated the effect of 30 day supplementation with 100 mg/day oral dose of yeast-derived β-glucan. Our results showed strong decrease of cotinine and cortisol levels in saliva of β-glucan-supplemented children.

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The objective of this investigation was to evaluate the efficacy and safety of purified Shilajit in moderately arthritic dogs. Ten client-owned dogs in a randomized double-blinded study received either a placebo or Shilajit (500 mg) twice daily for a period of five months. Dogs were evaluated each month for physical condition (body weight, body temperature, heart rate, and respiration rate) and pain associated with arthritis (overall pain, pain from limb manipulation, and pain after physical exertion).

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