Hybrid prediction model with improved score level fusion for heart disease diagnosis.

Heart disease diagnosis is a challenging task, which provides an automated forecast of the patient's heart illness to make future treatment simpler. This has led to extensive interest in heart disease diagnostics in the medical sector. However, as there are various risks, the prediction must be more appropriate to avoid death.

Nutrition morbidity interactions in pre-school children.

Background & Objectives: Research studies in the 1970s reported that in pre-school children, undernutrition increased the risk of infections and infections aggravated undernutrition. Over decades, there has been a reduction in prevalence of undernutrition and improvement in access to healthcare for treatment of infections. A mixed longitudinal study was undertaken to assess whether over time there were any changes from the earlier reported effect of undernutrition prior to infection on the risk of morbidity and effect of morbidity on nutritional status in pre-school children.

Physiological and biochemical alterations in Vigna rdiate L. triggered by sesame derived elicitors as defense mechanism against Rhizoctonia and Macrophomina infestation.

Improving agricultural products by the stimulation of plant growth and defense mechanisms by priming with plant extracts is needed to attain sustainability in agriculture. This study focused to consider the possible improvement in Vigna radiata L. seed germination rate, plant growth, and protection against the natural stress by increasing the defense mechanisms through the incorporation of Sesamum indicum phytochemical compounds with pre-sowing seed treatment technologies.