• Journal of Yeungnam Medical Science
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• v.2 no.1
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• pp.203-210
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• 1985

Febrile morbidity after cesarean section is one of the major problems in obstetric practice. This morbidity is most often due to endometritis. Although parenteral prophylactic antibiotics or antibiotic irrigation has been reported to reduce the incidence of endometritis after cesarean section, its incidence remains high. Among the patients who were undergoing cesarean section at Yeungnam University Hospital from the beginning of March, 1985, three group were evaluated in the orders. 1) 30 cases as intrauterine irrigation group with cephradine solution, 2) 35 cases as intravenous injection group with cephradine, 3) 35 cases as control group are neither irrigated nor injected. Febrile morbidity was also evaluated by means of a fever index. The incidence of clinically diagnosed endometritis in the three group were 6.7%, 2.9%, and 22.9%. As these results, two study groups were markedly reduced the incidence of endometritis than control group. There was no significant difference between the intrauterine irrigation with cephradine and control, but significant difference between the intravenous cephradine injection and control (P<0.05). With the results of fever index analysis, both prophylactic intrauterine irrigation and intravenous injection markedly reduce the incidence of endometritis after cesarean section with stastical significance (P<0.05), and also markedly reduce the febrile degree.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.144-149
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• 2018

The eggs are incubated for 18 days through the generator and incubated in the developing incubator. During the developmental period, the weight loss of the fetus is correlated with the ventricular formation, and the proper ventricular formation is also associated with the healthy embryonic hatching and the egg hatching rate. However, in the incubator period of the domestic hatchery, it is a reality to acquire the resultant side by the Iranian standard weight measurement with the experience of the hatchery and the person concerned and the development period without the apparatus for measuring the present weight. As a result, prevalence of early mortality, hunger and illness during hatching are frequent. Monitoring the reduction of weaning weight is crucial to obtaining chick quality and hatching performance with weight changes within the development machine. Water loss is different depending on the size of eggs, egg shell, and elder group. We can expect to increase the hatching rate by measuring the weight change in real time and optimizing the ventilation change accordingly. There is a need to develop a real-time measurement system that can control 10 to 13% reduction of the total weight during hatching. The system through this study is a way to check the one - time directly when moving the existing egg, and it is impossible to control the measurement of the fetal water evaporation within the development period. Unlike systems that do not affect the hatching rate, four load cells are connected in parallel on the Arduino sketch board and the AT-command command is used to connect the mobile phone and computer in real time. The communication speed of Bluetooth was set to 15200 to match the communication speed of Arduino and Hyper-terminal program. The real - time monitoring system was designed to visually check the change of the weight of the fetus in the artificial incubator. In this way, we aimed to improve the hatching rate and health condition of the hatching eggs.

• Journal of Appropriate Technology
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• v.7 no.2
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• pp.127-135
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• 2021

To respond to the threat of global warming, countries around the world are promoting the spread of renewable energy and reduction of carbon emissions. In accordance with the United Nation's Sustainable Development Goal to combat climate change and its impacts, global automakers are pushing for a full transition to electric vehicles within the next 10 years. Electric vehicles can be a useful means for reducing carbon emissions, but in order to reduce carbon generated in the stage of producing electricity for charging, a power generation system using eco-friendly renewable energy is required. In this study, we propose a smart electric mobility operating system integrated with off-grid solar power plants established in Tanzania, Africa. By applying smart monitoring and communication functions based on Arduino-based computing devices, information such as remaining battery capacity, battery status, location, speed, altitude, and road conditions of an electric vehicle or electric motorcycle is monitored. In addition, we present a scenario that communicates with the surrounding independent solar power plant infrastructure to predict the drivable distance and optimize the charging schedule and route to the destination. The feasibility of the proposed system was verified through test runs of electric motorcycles. In considering local environmental characteristics in Tanzania for the operation of the electric mobility system, factors such as eco-friendliness, economic feasibility, ease of operation, and compatibility should be weighed. The smart electric mobility operating system proposed in this study can be an important basis for implementing the SDGs' climate change response.

• Journal of Preventive Medicine and Public Health
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• v.22 no.1 s.25
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• pp.146-152
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• 1989

To test the validity of referral of high risk pregnancy in the MCH Center, 6,017 pregnant women who visited MCH Center of South District Health Center for delivery between 1 April 1985 and 31 March 1987 were interviewed on arrival to obtain the data for demographic characteristics and obsteric history and traced to check the delivery outcome. Out of 5,820 women whose delivery outcomes were confrmed, 704 women(12.1%) were referred to other hospital or clinic for high risk factors. The proportion of poor delivery outcome(stillbirth, low birth weight and neonatal death) among referred cases was 4.4% while that of the women delivered at the MCH Center was 2.2% (p<0.01). Decision of the midwives for the referral of high risk pregnancy based on their clinical assessment was consistent with the delivery outcome (good or poor) in 86.5%. Major reasons for referral were premature rupture of membrane(46.5%) and cephalopelvic disproportion(20.0%) and the C-section rates for these cases were 10.1%, 17.6%, respectively. Discriminant analysis of the demographic characteristics and obstertric history for the discrimination of delivery outcome showed that gestational age had the highest discriminant function coefficient(0.88) and it was followed by parity(0.37) and maternal education(0.30). Referral of high risk pregnancy by the midwives based on their clinical assessment was considered to be reasonably valid. However, a risk scoring system for an MCH Center which can improve the validity may be developed if one applies the discriminant analysis for more comprehensive independent variable(including clinical assessment of midwife, demographic characteristics and obstetric history) and dependent variable (including medically indicated C-section, complication of pregnancy and delivery, stillbirth, low birth weight, neonatal death and maternal death).