Dwarf Novae in the Shortest Orbital Period Regime: I. A New Short Period Dwarf Nova, OT J055717+683226

We report the observation of a new dwarf nova, OT J055717+683226, during its first-ever recorded superoutburst in December 2006. Our observation shows that this object is an SU UMa-type dwarf nova having a very short superhump period of 76.67+/- 0.03 min (0.05324+/-0.00002 d). The next superoutburst was observed in March 2008. The recurrence time of superoutbursts (supercycle) is, hence, estimated to be ~480 d. The supercycle is much shorter than those of WZ Sge-type dwarf novae having supercycles of >~ 10 yr, which are a major population of dwarf novae in the shortest orbital period regime (<~85 min). Using a hierarchical cluster analysis, we identified seven groups of dwarf novae in the shortest orbital period regime. We identified a small group of objects that have short supercycles, small outburst amplitudes, and large superhump period excesses, compared with those of WZ Sge stars. OT J055717+683226 probably belongs to this group.Comment: 14 pages, 11 figures, accepted for publication in PAS

Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net

Color images are easy to understand visually and can acquire a great deal of information, such as color and texture. They are highly and widely used in tasks such as segmentation. On the other hand, in indoor person segmentation, it is necessary to collect person data considering privacy. We propose a new task for human segmentation from invisible information, especially airborne ultrasound. We first convert ultrasound waves to reflected ultrasound directional images (ultrasound images) to perform segmentation from invisible information. Although ultrasound images can roughly identify a person's location, the detailed shape is ambiguous. To address this problem, we propose a collaborative learning probabilistic U-Net that uses ultrasound and segmentation images simultaneously during training, closing the probabilistic distributions between ultrasound and segmentation images by comparing the parameters of the latent spaces. In inference, only ultrasound images can be used to obtain segmentation results. As a result of performance verification, the proposed method could estimate human segmentations more accurately than conventional probabilistic U-Net and other variational autoencoder models.Comment: arXiv admin note: substantial text overlap with arXiv:2204.0728

Successful Treatment of Septic Shock due to Spontaneous Esophageal Perforation 96 Hours after Onset by Drainage and Enteral Nutrition

Spontaneous esophageal perforation is relatively uncommon, but carries a high mortality rate if diagnosis or treatment is delayed. We report the case of a 68-year-old man with spontaneous esophageal perforation who was successfully treated over 96 h after onset by thoracic drainage and jejunostomy for enteral nutrition. He vomited after drinking alcohol, soon followed by epigastralgia. Heart failure was suspected on admission to another hospital. Spontaneous esophageal perforation was diagnosed 48 h after admission. Chest tube drainage was performed, but his general condition deteriorated and he was transferred to our hospital. Emergent surgery was performed and esophageal perforation combined with pyothorax and mediastinitis was identified on the left side of the lower esophagus. The left thoracic cavity was rinsed and thoracic drainage was performed. Feeding jejunostomy was performed for postoperative enteral nutrition. Effective drainage and sufficient nutrition management appear extremely valuable in treating spontaneous esophageal perforation