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BACKGROUND Intensive lifestyle interventions can reduce the incidence of type 2 diabetes in people with impaired glucose tolerance, but how long these benefits extend beyond the period of active intervention, and whether such interventions reduce the risk of cardiovascular disease (CVD) and mortality, is unclear. We aimed to assess whether intensive(More)
Predictive modeling is a statistical data mining approach that builds a prediction function from the observed data. The function is then used to estimate a value of a dependent variable for new data. A commonly used predictive modeling method is regression that has been applied to a wide range of application domains. In this paper, we build multivariate(More)
OBJECTIVE Despite its growing prevalence in China, the extent to which diabetes leads to excess cardiovascular disease (CVD) mortality and all-cause mortality is unclear. RESEARCH DESIGN AND METHODS We compared death rates and causes of death among 630 people with newly diagnosed diabetes (NDD) and 519 with normal glucose tolerance (NGT) who, in 1986,(More)
BACKGROUND Development of new therapies for Alzheimer's disease (AD) is increasingly focused on more mildly affected populations, and requires new assessment and outcome strategies. Patients in early stages of AD have mild cognitive decline and no, or limited, functional impairment. To respond to these assessment challenges, we developed a measurement(More)
Early flowering 3 (ELF3) is a regulator to modulate photoperiod flowering in Arabidopsis. The homologs of ELF3 in rice and barley also have been identified essential for regulation of flowering time. In the current study, TaELF3 genes, homologs of ELF3 in bread wheat (Triticum aestivum L.), were cloned by a comparative genomics approach and located on(More)