Background: The purpose of this study is to determine how the cognitive state of the elderly influences the activities of daily living(ADL) in order to increase their achievement capacity and their ability to exercise this capacity in daily life. The MMSE-K(Mini-Mental State Examination-Korean) was used to evaluate the daily activities and cognitive state of a group of subjects more than 65 years of age. The goal was to understand (1) How their achievement level in their daily activities changes according to the increase and decrease of their cognition points by analyzing and comparing their achievement points in the mental state examination, and (2) What variables influence that daily achievement level. Methods: The survey was conducted by a group of students from AnSan College who were trained for this method of data collection. The group surveyed 224 senior citizens older than 65 to determine their ADL performance. The subjects were selected from Silver Care Centers in the Gyounggi Province area including centers in Suwon, Anyang, Kwachun, and Sanbon City. The subjects were given enough information to fully understand the purpose of the study and the method by which it would be conducted. The survey method was a direct interview: which involved an interviewer reading the questionnaire to the subject and recording the answer. Result: The following results were calculated using SPSS WIN ver. 13.0: In the lower score of the MMSE-K regarding ADL performance (K-MBI) for activities such as individual hygiene, bathing activity, food activity, toilet management, going up stairs, getting dressed ad undressed, controlling stools and urination, walking, and chair/bed movement, most of the subjects responded that they could not perform these activities by themselves (p<.01). In the higher scores for the same activities, most response that they could perform the tasks by themselves (p<.01). In the results of the multiple regression analysis, there influence of the variables for ADL performance (K-MBI) and MMSE-K score was higher for females than males. Conclusion: This study evaluated the cognitive state of the elderly using the MMSE-K, which is the most convenient method, and examined how the cognitive state influences the achievement capacity of the daily lives with other variables. In conclusion, the higher the score on the MMSE-K, the more independent the elders are in the activities of daily living, especially among women more than men.
Purpose: We aimed to establish an inflammatory prognostic index (IPI) in early and advanced non-small cell lung cancer (NSCLC) patients based on hematologic and biochemical parameters and to analyze its predictive value for NSCLC survival. Materials and Methods: A retrospective review of 685 patients with early and advanced NSCLC diagnosed between 2009 and 2014 was conducted with collection of clinical, and laboratory data. The IPI was calculated as C-reactive protein ${\times}$ NLR (neutrophil/ lymphocyte ratio)/serum albumin. Univariate and multivariate analyses were performed to assess the prognostic value of relevant factors. Results: The optimal cut-off value of IPI for overall survival (OS) stratification was determined to be 15. Totals of 334 (48.8%) and 351 (51.2%) patients were assigned to high and low IPI groups, respectively. Compared with low IPI, high IPI was associated with older age, greater tumor size, high lymph node involvement, distant metastases, advanced stage and poor performance status. Median OS was worse in the high IPI group (low vs high, 8.0 vs 34.0 months; HR, 3.5; p<0.001). Progression free survival values of the patients who had high vs low IPI were determined 6 months (95% CI:5.3-6.6) and 14 months (95% CI:12.1-15.8), respectively (HR; 2.4, P<0.001). On multivariate analysis, stage, performance status, lactate dehydrogenase and IPI were independent prognostic factors for OS. Subgroup analysis showed IPI was generally a significant prognostic factor in all clinical variables. Conclusion: The described IPI may be an inexpensive, easily accessible and independent prognostic index for NSCLC patients, useful for clinical practice.
This research suggests for efficient operation of the e-commerce guarantee financing system in domestic industries by reviewing the definition, current situation and problems of the e-commerce guarantee financing system in operation since 2001. Throughout the 10 years of the e-commerce guarantee financing system's implementation, technological development has solved many previously concerning factors. The goal of the study is to resolve the current issues of the e-commerce guarantee financing system and offer means by which to expand the accessibility of the system to domestic industries and further assistance to firms already using the system. One of the primary policies supported by the research is the reallocation of funds from archaic means of exchanging finances to the modem e-commerce guaranteed financing methods because of the increased transparency of the trading. Specifically, the funding operated by government guarantee agencies requires systematic promotion, justifying subsidies and tax breaks to companies that are using e-commerce guarantee financing because of the increased overall transparency. In addition, the benefits of e-commerce guarantee financing as a means of funding are numerous: the promotion of good business, relaxation of credit ratings for company loans, construction of the mobile operating system for small businesses, and creation of policy flexibility in operating fund agencies run by government. Future research areas include continued collection and analysis of the above data provided and new market feedback such as direct poll surveys of the operating staff in companies using e-commerce guarantee financing agencies.
In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic antigen (CEA), neurone specific enolase (NSE) and Cyfra21-1, are reported to reflect lung cancer characteristics. In this study classification of lung tumors was made based on biomarkers (measured in 120 NSCLC and 60 SCLC patients) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP). GEP is a learning algorithm that combines the advantages of genetic programming (GP) and genetic algorithms (GA). It specifically focuses on relationships between variables in sets of data and then builds models to explain these relationships, and has been successfully used in formula finding and function mining. As a basis for defining a GEP environment for SCLC and NSCLC prediction, three explicit predictive models were constructed. CEA and NSE are requentlyused lung cancer markers in clinical trials, CRP, LDH and Cyfra21-1 have significant meaning in lung cancer, basis on CEA and NSE we set up three GEP models-GEP 1(CEA, NSE, Cyfra21-1), GEP2 (CEA, NSE, LDH), GEP3 (CEA, NSE, CRP). The best classification result of GEP gained when CEA, NSE and Cyfra21-1 were combined: 128 of 135 subjects in the training set and 40 of 45 subjects in the test set were classified correctly, the accuracy rate is 94.8% in training set; on collection of samples for testing, the accuracy rate is 88.9%. With GEP2, the accuracy was significantly decreased by 1.5% and 6.6% in training set and test set, in GEP3 was 0.82% and 4.45% respectively. Serum Cyfra21-1 is a useful and sensitive serum biomarker in discriminating between NSCLC and SCLC. GEP modeling is a promising and excellent tool in diagnosis of lung cancer.
The Journal of The Korea Institute of Intelligent Transport Systems
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v.17
no.1
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pp.71-78
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2018
Transportation is gradually changing into the era of V2X and autonomous cars. Accurate judgement of traffic conditions is an important indicator of route choice or autonomous driving. There are many ways to use probes car such as taxis, as a way to identify accurate traffic conditions. These methods may vary depending on the characteristics of the probe vehicle, and there is a problem with the cost. The V2X vehicle can solve these problems and collect traffic information in real time. If all vehicles are of V2X vehicle, these issues are expected to be resolved briefly. However, if the communication information of a V2X vehicle is represented by a traffic representative in a traffic with only V2X, the traffic information of some V2X vehicles will be able to collect traffic information. To accomplish this, a virtual network and transport were created and various scenarios were performed through SUMO simulations. It has been analyzed that 3-5 % of V2 vehicles are capable of representative the road traffic characteristics. In the future, various follow-up studies are planned.
This study is a case study of the process of emerging for creative products to lead world science and technology. The aim of the study is to understand the emerging process of scientific creative products, and is to provide the direction of gifted education that discovers and trains globally competitive science talents through this. To discuss the emerging process of creative products, this study has academically discussed the creativity of the complexity of dealing with theory of evolution, the real life settings, and self-organization of experience etc., and has methodologically adopted the qualitative research method through a case study to look at the structures and processes. Data collection has been formed through a discussion with 12 Korean scientists who have created selected creative products, greatly contributed for the world science and technology(12 areas). The analysis has been carried out by the latter part positivist methods. As a result, the emerging process of creative products in the field of science and technology were separated into four steps: (1)the foundation stage of knowledge, (2)the exploration stage of knowledge, (3)the construction stage of knowledge, and (4)the emerging stage of knowledge. Each stage has been revealed growing up through the macro-system and the self-organization of each micro-systems.
Kim, Pyung-Wha;Kim, An-Na;Jang, Hyun-Chul;Lee, Eun-Hee
The Journal of Korean Obstetrics and Gynecology
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v.30
no.4
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pp.114-134
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2017
Objectives: This study aims to investigate the changes of women's postpartum symptoms, including their weights, edema index and quality of life (QOL) over the first six weeks after childbirth. Methods: The study participants were 31 postpartum women treated in the Dept. of Obstetrics & Gynecology, at Woo-Suk University Korean Medicine Hospital, from May 20th to August 5th, 2016. In the first 2 weeks of the postpartum period, the main data collection method was to interview each patient and write down all of their complaints, and additionally referring to each participant's PHR (Personal Health Records). At the 3rd, 4th, 5th and 6th week, the researcher interviewed participants by phone once a week. The participants' weight, edema index (ECW/TBW) and the quality of life (by EQ-VAS) were measured at 1st and 2nd week after childbirth. And, EQ-VAS was assessed once more at the 6th week after childbirth. As a last step, the participants responded to a survey on satisfaction regarding their postpartum care with Korean Medicine. Results: 1. In the 1st one week after childbirth, edema was the most frequent complaint. It was about joint pain of the upper limbs in the 2nd and 3rd weeks, sweating in the 4th week, and joint pain of the upper limbs in the 5th and the 6th weeks. 2. In the 1st two weeks of the postpartum period, the weight of the participants decreased from $66.33{\pm}9.30kg$ to $62.60{\pm}8.92kg$ (p<0.001) and the edema index ECW/TBW decreased from $0.399{\pm}0.010$ to $0.385{\pm}0.0 4$ (p<0.001). The EQ-VAS significantly improved from $61.77{\pm}17.72$ to $73.51{\pm}14.67$ (p<0.001). In the last 4-weeks of the postpartum period, the EQ-VAS decreased from $74.30{\pm}14.25$ to $73.63{\pm}13.35$, but this difference was not statistically significant (p=0.749). 3. Regarding the satisfaction with postpartum care with Korean Medicine, 60% of the participants responded that it was 'Excellent' and 40% said it was 'Good'. Conclusion: Over the entire postpartum period, the most frequent complaints were about musculoskeletal symptoms. Postpartum care with Korean Medicine treatments in the early postpartum period improves various postpartum symptoms and the quality of life for postpartum women.
Cho Ji Youn;Shin Oon Jae;Choi Ki Seung;Kim Su Hyun;Eun Choong Ki;Yang Young Il;Lee Jung Hee;Mun Chi Woong
Journal of Gastric Cancer
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v.3
no.3
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pp.151-157
/
2003
Purpose: In this study, we attempted to ascertain the proton magnetic resonance spectroscopy (${1}^H$ MRS) peak characteristics of human gastric tissue layers and finally to use the metabolic peaks of MRS to distinguish between normal and abnormal gastric specimens. Materials and Methods: Ex-vivo ${1}^H$ MRS examinations of thirty-five gastric specimens were performed to distinguish abnormal gastric tissues invaded by carcinoma cells from normal stomach-wall tissues. High-resolution 400-MHz (9.4-T) ${1}^H$ nuclear magnetic resonance (NMR) spectra of two gastric layers, a proper muscle layer, and a composite mucosasubmucosa layer were compared with those of clinical 64- MHz (1.5-T) MR spectra. Three-dimensional spoiled gradient recalled (SPGR) images were used to determine the size and the position of a voxel for MRS data collection. Results: For normal gastric tissue layers, the metabolite peaks of 400-MHz ${1}^H$ MRS were primarily found to be as follows: lipids at 0.9 ppm and 1.3 ppm; alanine at 1.58 ppm; N-acetyl neuraminic acid (sialic acid) at 2.03 ppm; and glutathione at 2.25 ppm in common. The broad and featureless featureless spectral peaks of the 64-MHz MRS were bunched near 0.9, 1.3, and 2.0, and 2.2 ppm in human specimens without respect to layers. In a specimen (Borrmmann type III) with a tubular adenocarcinoma, the resonance peaks were measured at 1.26, 1.36 and 3.22 ppm. All the peak intensities of the spectrum of the normal gastric tissue were reduced, but for gastric tumor tissue layers, the lactate peak split into 1.26 and 1.39 ppm, and the peak intensity of choline at 3.21 ppm was increased. Conclusion: We found that decreasing lipids, an increasing lactate peak that split into two peaks, 1.26 ppm and 1.36 ppm, and an increasing choline peak at 3.22 ppm were markers of tumor invasion into the gastric tissue layers. This study implies that MR spectroscopy can be a useful diagnostic tool for gastric cancer.
Na, Youngjun;Li, Dong Hua;Choi, Yongjun;Kim, Kyoung Hoon;Lee, Sang Rak
Asian-Australasian Journal of Animal Sciences
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v.31
no.8
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pp.1238-1243
/
2018
Objective: Two experiments were conducted to determine the effects of feeding level on nutrient digestibility and enteric methane ($CH_4$) emissions in growing goats and Sika deer. Methods: Three growing male goats (initial body weight [BW] of $22.4{\pm}0.9kg$) and three growing male deer (initial BW of $20.2{\pm}4.8kg$) were each allotted to a respiration-metabolism chamber for an adaptation period of 7 d and a data collection period of 3 d. An experimental diet was offered to each animal at one of three feeding levels (1.5%, 2.0%, and 2.5% of BW) in a $3{\times}3$ Latin square design. The chambers were used for measuring enteric $CH_4$ emission. Results: Nutrient digestibility decreased linearly in goats as feeding level increased, whereas Sika deer digestibility was not affected by feeding level. The enteric production of $CH_4$ expressed as g/kg dry matter intake (DMI), g/kg organic matter intake, and % of gross energy intake decreased linearly with increased feeding level in goats; however, that of Sika deer was not affected by feeding level. Six equations were estimated for predicting the enteric $CH_4$ emission from goats and Sika deer. For goat, equation 1 was found to be of the highest accuracy: $CH_4(g/d)=6.2({\pm}14.1)+10.2({\pm}7.01){\times}DMI(kg/d)+0.0048({\pm}0.0275){\times}dry$ matter digestibility (DMD, g/kg)-0.0070 (${\pm}0.0187$)${\times}$neutral detergent fiber digestibility (NDFD; g/kg). For Sika deer, equation 4 was found to be of the highest accuracy: $CH_4(g/d)=-13.0({\pm}30.8)+29.4({\pm}3.93){\times}DMI(kg/d)+0.046(0.094){\times}DMD(g/kg)-0.0363({\pm}0.0636){\times}NDFD(g/kg)$. Conclusion: Increasing the feeding level increased $CH_4$ production in both goats and Sika deer, and predictive models of enteric $CH_4$ production by goats and Sika deer were estimated.
BACKGROUND: At these days, the human health and environmental concerns of pesticide used for turf grass management at golf courses in Korea have increased. The objectives of the study were to determine the pesticide residues for golf course and neighboring area and evaluate the impact moved into neighboring area of pesticides treated at golf courses. METHODS AND RESULTS: Three golf courses and neighboring areas in Korea were monitored from July to October, 2017. The soil sample collection was divided the golf course into its logical parts (such as a greens, fairways, and rough) and neighboring area soil samples were collected at three different points. The water samples of the golf course and neighboring area were collected at three different points, respectively. The pesticide residues for soil and water sample were monitored by the multi-residue screening method of 98 pesticide with HPLC-MS-MS. The concentrations of detected pesticide in soil and water samples of the golf course were in the range of 0.01~1.26 mg/kg and 0.0001~0.0089 mg/kg, respectively. The residue levels for detected pesticides in neighboring area were at 0.01~0.04 mg/kg and 0.0001~0.0029 mg/kg, respectively, well below those level in golf course. CONCLUSION: This study indicate that the pesticide residue levels of golf course and neighboring area in Korea may not a possible risk of exposure on soil and aquatic environment. For future work, more monitoring should be performed so that the evaluation data becomes more valid.
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