A case of left ventricular hemangioma

Left ventricle hemangioma in a 54-year-old man is reported. He was admitted to our hospital for chest discomfort. Coronary angiograms showed normal coronary arteries and a contrast blush in the left interventricle septum. Transesophageal echocardiogram also demonstrated the small floating tumor in the ventricular septum below the right coronary cusp. With the aid of cardiopulmonary bypass, the tumor was resected completely through transaortic approach. Histological examination revealed capillary hemangioma. The patient had uneventful recovery. To our knowledge, this is the seventh case of a left ventricular hemangioma treated surgically reported in the world literature.     

The effect of low-rose prostaglandin E1 on circulation, respiration and body temperature during surgical anesthesia

We investigated the effects of low-dose prostaglandin E1 (PGE1) on circulation, respiration, and body temperature during surgical anesthesia. We studied 109 adult patients undergoing upper abdominal operations under thoracic epidural combined with inhalational anesthesia. Patients were divided into 2 groups; Control group (n = 42) and PGE1 group (n = 67). In PGE1 group, PGE1 infusion was started at the rate of 0.02 microgram.kg-1.min-1 before the induction of anesthesia and was terminated at the end of surgery. There were no differences between the groups in demographic, anesthetic and surgical characteristics. After treatment with PGE1, arterial pressure decreased slightly but significantly, resulting in lower arterial pressure in PGE1 group than in control group before the induction of anesthesia. After the induction of anesthesia, however, arterial pressure decreased significantly in both groups, and the differences in arterial pressure between the groups were not observed any more during surgery. Heart rate was not different between the groups throughout the study period. Intraoperative urine output was greater in PGE1 group than in control group. PaO2/FIO2 ratio was not different between the groups both before and during anesthesia. Rectal temperature remained slightly but significantly lower in PGE1 group throughout surgery. Rectal-to-palm temperature gradient tended to be smaller in PGE1 group 1 hour after the induction of anesthesia. Low-dose PGE1 reduced arterial pressure. However, the difference in arterial pressure between the groups was so small that the difference disappeared during surgery. Meanwhile, low-dose PGE1 increased urine output, suggesting that renal blood flow was better-maintained with PGE1. In spite of several investigations reporting an unfavorable effect of PGE1 on PaO2, low dose PGE1 did not affect PaO2 in this study. Finally low-dose PGE1 reduced core temperature, though slightly, probably through redistribution of the body heat.     

Planning of occupational dose reduction at BWR power plant by past dose record analysis combined with on-site workers' idea analysis

In order to establish a plan for occupational dose reduction at operating plants, outage inspection works that involve high-dose exposure were selected and a determination of the major causes of high-dose exposure made by plant-by-plant comparison of doses received during inspection works. The comparison was made to investigate the relationship between exposure and the volume of objects to be inspected, working time and man-hour of each work process and ambient dose rates at work areas. In parallel with this, an analysis has also been carried out on 400 data items in a questionnaire survey conducted on relevant individuals, including foremen, radiation safety personnel, on-site workers and plant designers regarding ideas for dose reduction methods. With combination of these two analyses, matters that require improvement will be highlighted, then modification of equipment or revision of work procedures necessary for occupational dose reduction will be planned by plant designers through review.     

Multiscale modeling of in-room temperature distribution with human occupancy data: a practical case study

This paper develops a method for modelling of in-room temperature distribution incorporated with data collected by human sensors. This modelling is based on a standard two-dimensional heat diffusion equation with an effective diffusion coefficient. The effective diffusion coefficient is nominally identified from characteristics of air flow inside a room and its architectural design. For modelling multiple time-scale influence of human occupancy on the in-room temperature distribution, two independent parameters—the effective diffusion coefficient and human heat input—of the equation are modulated with the human sensor data that capture spatio-temporal dynamics of the occupancy in high resolution. The developed method is applied to a practical office space in commercial building in Japan so that its effectiveness is demonstrated by comparing numerical simulations of the equation with measured data on temperature.     

Optimizing service restoration in distribution systems based on scheduling of crews considering priorities of loads

The service restoration to sound sections within a short period as much as possible, performed after the permanent fault occurs in a distribution system, is significant for maintaining power supply reliability. This paper proposes an efficient method to find service restoration procedures based on fault searching and the optimal work scheduling of crews, considering the power supply priorities of loads and the probability of occurrence of faults. The proposed method is composed of two-stage problems to reduce the outage sections efficiently: (i) the problem to find a series of searching procedures for unknown fault locations in the first stage and (ii) the optimization problem of work schedules of crews in the second stage. In the first stage, the order of operation of switches opened for searching for the fault direction is determined, constituting the searching tree. After that, the proposed optimization method can efficiently solve the work scheduling problem by formulating it as a mixed-integer linear programming problem in the second stage. The computational experiments using a large-scale distribution system model with many remote and manual switches show that the proposed method can provide efficient service restoration procedures within a reasonable computational time.