A CATASTROPHE IDENTIFICATION METHOD FOR RAINFALL TIME SERIES COUPLED SEQUENTIAL MANN-KENDALL ALGORITHM AND BERNAOLA GALVAN ALGORITHM: A CASE STUDY OF THE QINGLONG RIVER WATERSHED, CHINA

A catastrophe identification method for rainfall time series coupled sequential Mann-Kendall algorithm and Bernaola Galvan algorithm: a case study of the Qinglong River watershed, China

The identification of rainfall catastrophe characteristics is important for rainfall consistency testing in hydrostatistical analysis.In this study, a new classification method (trend, mean and change-rate catastrophe) was proposed and applied to the Qinglong River watershed, Northern China.Two groups of algorithms were compared to obtain the optim

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The effectiveness of peer health coaching in improving glycemic control among low-income patients with diabetes: protocol for a randomized controlled trial

Abstract Background Although self-management support improves diabetes outcomes, it is not consistently provided in health care settings strained for time and resources.One proposed solution to personnel and funding shortages is to utilize peer coaches, patients trained to provide diabetes education and support to other patients.Coaches share simil

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Advances in nanotechnology for the treatment of GBM

Glioblastoma (GBM), a highly malignant glioma of the central nervous system, is the most dread and common Pet Hair Clippers brain tumor with a high rate of therapeutic resistance and recurrence.Currently, the clinical treatment methods are surgery, radiotherapy, and chemotherapy.However, owning to the highly invasive nature of GBM, it is difficult

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