Takashi Shibuya

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Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influences on each other. If the past information of one process <i>X</i> improves the predictability of another process <i>Y</i>, <i>X</i> is said to have a causal influence on <i>Y</i>.(More)
AIMS/INTRODUCTION There is little information regarding how to use insulin degludec (D) when diabetic patients are preparing for total colonoscopy (TCS). MATERIALS AND METHODS A total of 12 patients with type 2 diabetes treated with insulin D and scheduled to undergo TCS were enrolled in the present study. A continuous glucose monitoring device was(More)
Objective The aim of this study was to determine whether nocturnal hypoglycemia may be predicted according to morning glucose levels. Methods We retrospectively evaluated 106 patients with type 2 diabetes who underwent continuous glucose monitoring during admission. The pre-breakfast glucose level (Pre-breakfast level), highest postprandial glucose level(More)
AIMS/INTRODUCTION We aimed to identify factors - glycemic control, reactive inflammatory biomarkers or vital signs - associated with mortality in diabetic patients admitted to hospital for various infections (non-intensive care unit). MATERIALS AND METHODS We retrospectively analyzed the cases of 620 diabetic patients admitted to hospital for various(More)
We compared photosynthetic performance between cucumber (Cucumis sativus L.) leaves acclimated to saturating irradiances with high red: far red (R:FR = 10) and normal R:FR (= 1.4) ratios. The net photosynthetic rate (PN) and stomatal conductance (gs) of the leaves acclimated to high R:FR were greater than those of the leaves acclimated to normal R:FR; the(More)
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