Publications by authors named "T Nakata"
Complex network approaches have been emerging as an analysis tool for dynamical systems. Different reconstruction methods from time series have been shown to reveal complicated behaviors that can be quantified from the network's topology. Directed recurrence networks have recently been suggested as one such method, complementing the already successful recurrence networks and expanding the applications of recurrence analysis.
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- The intestine functions to absorb nutrients and water while maintaining tolerance to external environments, but its cellular and transcriptional dynamics are not fully understood.
- Researchers created a detailed resource that maps the spatial and cellular structure of the mouse intestine in both healthy and stressed conditions.
- The study revealed that the intestinal landscape is robust to microbiota influences and can adapt to inflammation through complex interactions between immune responses and structural cells.
Correction of Hemitruncus in an Adult Patient Alleviated Pulmonary Arteriovenous Fistula in the Affected Lung.
World J Pediatr Congenit Heart Surg
January 2025
Article Synopsis
- A 36-year-old adult was diagnosed with an unusual heart condition where the right pulmonary artery originated from the aorta, along with pulmonary hypertension and moderate mitral regurgitation.
- During a preoperative procedure, an echocardiogram revealed a right pulmonary arteriovenous fistula, indicating abnormal blood flow between the pulmonary artery and left atrium.
- After surgical reconstruction of the right pulmonary artery with a Dacron graft, significant improvements were observed; six months later, the fistula decreased, and both pulmonary arterial pressure and mitral regurgitation improved dramatically.
In today's world, services are essential in daily life, and identifying each person's unique needs is key to creating a human-centered society. Traditional research has used machine learning to recommend services based on user behavior logs without directly detecting individual needs. This study introduces a system called Needs Companion, which automatically detects individual service needs, laying the groundwork for accurate needs sensing.
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