• Asian Pacific Journal of Cancer Prevention
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• v.14 no.7
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• pp.4307-4312
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• 2013

Breast cancer is the most frequent malignancy of women worldwide. It is the leading cause of female cancer related disability and mortality. In Saudi Arabia breast cancer ranks first among cancerous diseases in females. In the Gulf region, and especially in Saudi Arabia, few studies have been conducted to address breast cancer awareness. The purpose of the current study was therefore to investigate the level of breast cancer awareness among Saudi females in Jeddah, focusing on knowledge of breast cancer warning signs, risk factors, screening programs and breast self-examination (BSE). The design of this study was an exploratory correlational analysis. The sample comprised 200 Saudi females aged 20 and older living in Jeddah. Data were collected using face-to-face interviews. Breast cancer awareness was measured using a modified Arabic version of the Breast Cancer Awareness Measure (Breast CAM) version 2. Descriptive statistical analysis, Pearson's Product Moment correlation coefficients and ANOVA test were used to answer study questions. Out of 200 participants, 50.5% were aware of breast lump as a warning sign of breast cancer, 57.5% claimed that family history was risk factor, 20.5% had undergone breast screening, 79% heard about BSE, and 47.5% knew how to perform BSE. Findings indicated that Saudi females level of awareness of breast cancer is very inadequate. Public awareness interventions are needed in order to overcome an ever-increasing burden of this disease among Saudi females.

• Journal of the Korean Institute of Gas
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• v.17 no.2
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• pp.28-35
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• 2013

The number of large and complex buildings is growing and they are usually concentrated in metropolitan cities. There is a possibility in such buildings that a small accident can expand to a massive disaster since their scale and complexity. To deal with this issue, a research on gas sensors which can detect multiple gases and early-warning systems has been conducted. Proper criteria or standards are necessary for effective application and operation of such sensor-based disaster monitoring system. In this study, we have proposed the alarm criteria of concentration of hazardous gases for the detection and the alarm release. For each alarm level, systematic disaster response plans consist of responsive actions and information delivery have been prepared. These disaster monitoring criteria can help the detection of hazardous gas-related disaster in the early stage of accident and the provision of appropriate emergency responses.

• The Korean Journal of Emergency Medical Services
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• v.24 no.2
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• pp.27-38
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• 2020

Purpose: Stroke is a time-sensitive disease that could have reduced complications and mortality with timely diagnosis and treatment. This study aimed to analyze the causes of delay in detecting the clinical signs and symptoms of stroke. Methods: This retrospective observational study analyzed the emergency medical services reports of suspected stroke patients with positive predictive values on the Cincinnati Prehospital Stroke Scale. The study was conducted in Daejeon, Republic of Korea from January 1, 2016 through December 31, 2017. Results: Prolonged prehospital time was associated with high blood pressure, history of cerebrovascular disease, and incidences during daily activities, and sleep. High blood pressure and complications from a previous stroke strongly associated with the prolonged stroke-detection phase (p<.05). Total prehospital time was shortened when patients had evident stroke symptoms, such as decreased level of consciousness, dysarthria, and hemiplegia (p<.05). There was no significant difference in gender or age as a factor that delayed the total prehospital time of the suspected stroke patients. Conclusion: Many patients did not recognize the early clinical symptoms and signs of a stroke. Furthermore, risk factors, such as high blood pressure and history of stroke, prolonged the total prehospital time. Therefore, we need targeted interventions that educate about warning symptoms of stroke, along with emphasis on the importance of emergency calls to substantially reduce the prehospital delays.

• Journal of Trauma and Injury
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• v.23 no.2
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• pp.188-191
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• 2010

A postoperative contralateral supra- and infratentorial epidural hematoma after decompressive surgery is an extremely rare event. We describe a 38-year-old male with a contralateral supra- and infratentorial acute epidural hematoma just after decompressive surgery for an acute subdural hematoma. A contralateral skull fracture involving a lambdoidal suture and an intraoperative brain protrusion may be warning signs. The mechanisms, along with relevant literature, are discussed.

• Journal of architectural history
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• v.1 no.1 s.1
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• pp.205-217
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• 1992

For all the variety of past studies on the pyramids of Old Kingdom of Egypt, they still basically remain in 'enigma and mystery' as Giedion rightly puts in. This paper deals directly with the three most obvious facts about the pyramids : their cardinal orientation, the varying slopes, and above all, their magnitude. The prominent triangles of their once polished faces were there to be seen from the Nile valley as they shined or shaded under the Sun. The northern faces, especially, went in and out of the Sun in accordence with the seasonal variation of the solar declination, The steeper northern faces which turned into shade in high summer noon could have been warning signs of oncoming inundation of Nile, and the milder slopes that suddenly began to shine in some early spring noons could have been the vernal alarms to awaken the peasants to their timely toil on the fresh land. Dates and hours of insolation on the northern faces of pyramids are graphically and numerically computed.

• Journal of information and communication convergence engineering
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• v.5 no.1
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• pp.73-77
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• 2007

This paper discusses the implementation of a rehabilitation center based on a ubiquitous sensor network. This paper discusses the implementation of a rehabilitation center based on a ubiquitous sensor network. We recognize that certain mild conditions requiring rehabilitation may be treated with minimal human supervision. In place of this constant human supervision, a variety of sensors are used to monitor the patient and rehabilitation progress. These sensors send data through a wireless Zigbee network to a server which stores the data and makes it available to a rehabilitation expert for analysis. This rehabilitation expert also issues rehabilitation prescriptions which are created based on the expert's determination of the patient's condition. By having the ability to control the rehabilitation equipment used, strictly enforce the assigned prescription, and constantly monitor the patient for any warning signs, the system ensures a safe and optimal rehabilitation session.

• Journal of agricultural medicine and community health
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• v.40 no.3
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• pp.126-136
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• 2015

Objectives: This study was performed to investigate the effects of a health education program for the aged on knowledge about the warning signs and symptoms of acute myocardial infarction and stroke. Methods: Data from 337 elderly people (159 participated and 178 non-participated) at senior centers in Jeju-si were collected by 1 to 1 interview from January to March 2012, one year after the education program provided. Two stages of study were performed: Cross-sectional, case-control study on the level of knowledge about the warning signs and symptoms; and multivariate logistic regression to fine out predictors of optimal awareness. Results: No significant discrepancy of knowledge level between case and control group was found. The knowledge level as high as a surge was shown in both groups one year later. A surge of knowledge had been shown after the education provided in one month. The factors affecting the optimal level of knowledge were education (Odds ratio 3.01; Confidence Interval 1.72-5.26; P-value <0.001) and 7 days of watching TV news per week (2.97; 1.68-5.23; P<0.001). However, participation in the health education was not significant (1.60; 0.98-2.61; P=0.059). Conclusions: The effects of a targeted program in high-risk groups for cardio-cerebrovascular disease are only guaranteed in the enhancement by a population-based mass-media education campaign.

• Journal of Trauma and Injury
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• v.34 no.1
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• pp.3-12
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• 2021

Purpose: To evaluate the severity of trauma, many scoring systems and predictive models have been presented. The quick Sequential Organ Failure Assessment (qSOFA) is a simple scoring system based on vital signs, and we expect it to be easier to apply to trauma patients than other trauma assessment tools. Methods: This study was a cross-sectional study of trauma patients who visited the emergency department of Jeju National University Hospital. We excluded patients under the age of 18 years and unknown outcomes. We calculated the qSOFA, the Modified Early Warning Score (mEWS), Revised Trauma Score (RTS), and Injury Severity Score (ISS) based on patients' initial vital signs and assessments performed in the emergency department (ED). The primary outcome was mortality within 14 days of trauma. We analyzed qSOFA scores using multivariate logistic regression analysis and compared the predictive accuracy of these scoring systems using the area under the receiver operating characteristic curve (AUROC). Results: In total, 27,764 patients were analyzed. In the multivariate logistic regression analysis of the qSOFA, the adjusted odds ratios with 95% confidence interval (CI) for mortality relative to a qSOFA score of 0 were 27.82 (13.63-56.79) for a qSOFA score of 1, 373.31 (183.47-759.57) for a qSOFA score of 2, and 494.07 (143.75-1698.15) for a qSOFA score of 3. In the receiver operating characteristic (ROC) curve analysis for the qSOFA, mEWS, ISS, and RTS in predicting the outcomes, for mortality, the AUROC for the qSOFA (AUROC [95% CI]; 0.912 [0.871-0.952]) was significantly greater than those for the ISS (0.700 [0.608-0.793]) and RTS (0.160 [0.108-0.211]). Conclusions: The qSOFA was useful for predicting the prognosis of trauma patients evaluated in the ED.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.101-108
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• 2021

This descriptive study was conducted to identify the relationship between knowledge of stroke and stroke-related health promoting lifestyle among nursing students. Data were collected from September 21 to 26, 2020, from 182 nursing students. Data were self-reported using a structured questionnaire. Data were analyzed using independent t-test, one-way ANOVA, and Kruskal-Wallis test. The mean stroke knowledge score of the participants was 14.97±3.13. The mean score on knowledge of stroke risk factors was 8.69±1.98, and that for knowledge of stroke warning signs was 5.43±1.31. The mean health promoting lifestyle score was 2.93±0.47. Knowledge of risk factors according to general and health-related characteristics showed significant differences in age and money on hand. Knowledge of warning signs according to general and health-related characteristics showed significant differences in the family history of stroke. Health promoting lifestyle to general and health-related characteristics showed significant differences in religion, satisfaction with major, subjective health status, and body mass index. In conclusion, nursing students had high knowledge of stroke, but stroke-related health promoting were not.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.125-138
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• 2011

The highway visibility reduction caused by fog is one of the major elements of traffic accidents. Though the fog warning systems can lead drivers into safe driving by letting them aware dangerous situations in advance, the optical sensors, such as fog sensor, has been extremely costly. Through recent studies, it is delivered that visibility measurements have become obtainable with relatively cheap cameras and their functionality is as similar as a driver' visual sense. Those measurements however require additional signs or ROI, so it is still costly and unable to utilize the conventional images from the existing systems. This study proposes a new method to detect the visibility in real time based on the conventional images from the existing CCTV cameras. The proposed method builds a road model and extracts and applies vehicle movements and visible lines - those highlight easy and quick visibility measurements. The proposed method has advantages of both (1) having possible day and night visibility measurements similar to drivers' visual sense and (2) being easily applied to the existing CCTV system without additional devices. This paper presents field experiments using images acquired from the Central Inland Expressway and discusses future research directions.