Phlegmonous Colitis after Cold Snare Polypectomy in an Immunosuppressed Patient: A Case Report.

Introduction: Cold snare polypectomy (CSP) is a procedure with a low risk of complications. Here, we present our experience of a rare case of submucosal abscess following CSP in an immunosuppressed patient.

Case Presentation: Seventy-eight-year-old man underwent CSP, developing a fever, chills, and right lower abdominal pain 8 days later.

Fabrication of ideally ordered TiO through-hole membranes by two-layer anodization.

Ideally ordered TiO through-hole membranes were obtained by a combination of Ti substrate pre-patterning and two-layer anodization. The Ti substrate was pre-patterned by Ar ion milling using ideally ordered porous alumina as an etching mask. Each concave pit formed by dry etching acted as an initiation site for hole development during anodization, and ideally ordered anodic porous TiO was produced by anodization using an electrolyte containing fluoride ions.

Walking and talking independently predict interpersonal impressions.

When walking alongside someone, you may feel that your legs move in synchrony with theirs. Recent studies have shown that walk-in-synch behaviour observed in natural settings occurs at a rate significantly greater than would be expected by chance, and that the amount of this synchrony is related to interpersonal impressions. However, in such natural settings, the existence of verbal conversations between paired walkers should affect the interpersonal impressions and the effect is not distinguished from the effect of walk-in-synch on the impressions so far.

A computational approach to the dynamic aspects of primitive auditory scene analysis.

Recent psychophysical and physiological studies demonstrated that auditory scene analysis (ASA) is inherently a dynamic process, suggesting that the system conducting ASA constantly changes itself, incorporating the dynamics of sound sources in the acoustic scene, to realize efficient and robust information processing. Here, we propose computational models of ASA based on two computational principles of ASA, namely, separation in a feature space and temporal regularity. We explicitly introduced learning processes, so that the system could autonomously develop its selectivity to features or bases for analyses according to the observed acoustic data.