• Journal of Chest Surgery
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• v.39 no.2 s.259
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• pp.127-133
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• 2006

Background: In the studies of the distribution of time to death in trauma patients, the early deaths within several hours after injury were a large component of total trauma deaths. Due to the development of trauma system, overall mortality of trauma was decreased, but trauma is still the major cause of deaths. Material and Method: From January 1994 to December 2003, trauma patients who had been admitted and had expired at tertiary hospital were enrolled. There was a total of 400 cases, a retrospective study was done to determine the distribution of trauma mortality according to the part of the body that were severely injured part and compared the difference between early deaths within 6 hours and late deaths after 6 hours. We also analysed the risk factors of early deaths due to trauma. Result: In severe injury to the head and abdomen, the distribution of mortality was bimodal. But, in severe chest injuries, the distribution was log-shape and most early deaths were almost of trauma related. The average of GCS were 5.86$\pm$4.15 for the early deaths and 8.24$\pm$5.02 for the late deaths (p < 0.05). The AIS of thorax were 2.66$\pm$1.87 for the early deaths and 1.55$\pm$1.76 for late deaths. The risk factors for early mortality were non-EMS transportation (odds ratio 3.474), high AIS (odds ratio 1.491) and GCS (odds ratio 0.859). Conclusion: In trauma patients, the causes of early mortality were severe brain injury and massive hemorrhage. Also severe chest injuries were the major cause of the early deaths in truama. Early diagnosis of chest injury can frequently be missed in the acute trauma setting. Therefore, high index of suspicion, a careful examination, and aggressive surgical treatment are important in multiple trauma patients.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.147-157
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• 2022

This study tried to propose a smart farm technology strategy suitable for the domestic situation, focusing on the differentiation suitable for the domestic situation of ICT technology. In the case of advanced countries in the overseas agricultural industry, it was confirmed that they focused on the development of a specific stage that reflected the geographical characteristics of each country, the characteristics of the agricultural industry, and the characteristics of the people's demand. Confirmed that no enemy development is being performed. Therefore, in response to problems such as a rapid decrease in the domestic rural population, aging population, loss of agricultural price competitiveness, increase in fallow land, and decrease in use rate of arable land, this study aims to develop smart farm ICT technology in the future to create quality agricultural products and have price competitiveness. It was suggested that the smart farm should be promoted by paying attention to the excellent performance, ease of use due to the aging of the labor force, and economic feasibility suitable for a small business scale. First, in terms of economic feasibility, the ICT technology is configured by selecting only the functions necessary for the small farm household (primary) business environment, and the smooth communication system with these is applied to the ICT technology to gradually update the functions required by the actual farmhouse. suggested that it may contribute to the reduction. Second, in terms of performance, it is suggested that the operation accuracy can be increased if attention is paid to improving the communication function of ICT, such as adjusting the difficulty of big data suitable for the aging population in Korea, using a language suitable for them, and setting an algorithm that reflects their prediction tendencies. Third, the level of ease of use. Smart farms based on ICT technology for the development of the Industry6.0 (1.0(Agriculture, Forestry) + 2.0(Agricultural and Water & Water Processing) + 3.0 (Service, Rural Experience, SCM)) perform operations according to specific commands, finally suggested that ease of use can be promoted by presetting and standardizing devices based on big data configuration customized for each regional environment.