Evaluation of recovery after intravenous sedation

The Intravenous Sedation (IVS) Guideline Working Group of the Japanese Dental Society of Anesthesiology (JDSA) formulated guidelines for intravenous conscious sedation in dentistry. These guidelines were then published on the website of the JDSA in October 2009. These guidelines were developed in accordance with the “MINDS Handbook for Clinical Practice Guideline Development 2007” published by the Medical Information Network Distribution Service (MINDS), and were listed on the MINDS Website in February 2011. One of the authors participated in the planning of these guidelines and was responsible for the section on recovery period. The revised version has been published on the website of the JDSA in May 2017. In this review, the following three issues are explained : 1) basic points of view with regard to the recovery process after IVS ; 2) influence of aging on the physiological and pharmacological function and points of attention regarding IVS management in elderly patients ; and, 3) comparison results of recovery criteria among IVS and/or general anesthesia guidelines of domestic and international academic societies

Super-family P2 C-96-125 observed by Japan-URSS Joint Emulsion Chamber Experiment

A detailed description of the event detected in the second chamber of Japan-URSS Collaboration is presented. A preliminary description was already published and from that time a careful microscopic scanning was carried out

Reduced contribution of the ipsilateral primary motor cortex to force modulation with short-term motor learning in humans: An NIRS study

How is muscle force modulated during hand exercise? Oxygenation in the contralateral primary motor cortex (M1) has been observed to vary considerably across trials of repetitive handgrip exercise. No linear relationship was observed between the average value of oxygenation determined by a block design study and the force of the handgrip. We found reduced oxygenation in the ipsilateral M1 and unchanged oxygenation in the contralateral M1 during repetitive static handgrip exercises (40% and 60% maximal voluntary contraction; 10 s exercise/75 s rest; 5 sets), which might be due to short-term motor learning. These results support the hypothesis that the ipsilateral M1 might functionally compensate for the contralateral M1 in force modulation during unilateral exercises

Detecting Superbubbles in Assembly Graphs

We introduce a new concept of a subgraph class called a superbubble for analyzing assembly graphs, and propose an efficient algorithm for detecting it. Most assembly algorithms utilize assembly graphs like the de Bruijn graph or the overlap graph constructed from reads. From these graphs, many assembly algorithms first detect simple local graph structures (motifs), such as tips and bubbles, mainly to find sequencing errors. These motifs are easy to detect, but they are sometimes too simple to deal with more complex errors. The superbubble is an extension of the bubble, which is also important for analyzing assembly graphs. Though superbubbles are much more complex than ordinary bubbles, we show that they can be efficiently enumerated. We propose an average-case linear time algorithm (i.e., O(n+m) for a graph with n vertices and m edges) for graphs with a reasonable model, though the worst-case time complexity of our algorithm is quadratic (i.e., O(n(n+m))). Moreover, the algorithm is practically very fast: Our experiments show that our algorithm runs in reasonable time with a single CPU core even against a very large graph of a whole human genome.Comment: Peer-reviewed and presented as part of the 13th Workshop on Algorithms in Bioinformatics (WABI2013