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Search Results: 1 - 10 of 44262 matches for " Jang Yong Kim "
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Incidence and Clinical Characteristics of Deep Vein Thrombosis (DVT) after Total Knee Arthroplasty (TKA) with DVT Chemoprophylaxis  [PDF]
Yong Sung Won, Mihyeong Kim, Kang Woong Jun, Woo Seok Nam, Sanghyun Ahn, Jeong-Kye Hwang, Sang-Dong Kim, Sun-Cheol Park, Sang Seob Yun, Won-Chul Lee, Jang-Sang Park, Jang Yong Kim
World Journal of Cardiovascular Diseases (WJCD) , 2014, DOI: 10.4236/wjcd.2014.411064
Abstract: Objective: Deep vein thrombosis (DVT) after total knee arthroplasty (TKA) is very common and leading cause of death due to this procedure. The objective of this study was to investigate the incidence and clinical characteristics of DVT after TKA with DVT chemoprophylaxis. Methods: This is a prospective cohort study in single institution. The patients received postoperative DVT chemoprophylaxis (low molecular weight heparin (LMWH) or Fondaparinux), followed by duplex ultrasonography to check for DVT 1 - 2 weeks after TKA. The clinical characteristics were summarized and analysed by chi-square test and regression analysis. Results: Five hundred and thirty four patients were enrolled from January 2007 to December 2010. DVT chemoprophylaxis was administered in 524 (98.1%) of the 534 patients. DVT occurred in 9 subjects (1.69%); 8 subjects had DVT in the leg, and 1 subject had a pulmonary embolism. Among them, asymptomatic DVT was observed in 5 patients (0.94%). Univariate analysis showed that surgical methods (revision, P = 0.0007), body mass index (BMI) (>25, P = 0.0028), low platelet count (less than 150 × 103, P = 0.0219), time in the intensive care unit (ICU) (P < 0.0001), no administration of prophylactic LMWH (P = 0.0392), and a history of DVT (P < 0.0001) were significant risk factors of DVT. Conclusions: The incidence of DVT was 1.69% after TKA with prophylactic antithrombotic therapy. Revision surgery, BMI, low platelet count, time in ICU, absence of prophylactic LMWH and history of DVT were significant risk factors of DVT.
A rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by direct analysis in real-time mass spectrometry
Suk Kim, Hye Kim, Jong Kim, Yong Kwon, Myung Ahn, Young Jang, Jang R Liu
Plant Methods , 2011, DOI: 10.1186/1746-4811-7-14
Abstract: To determine whether this DART-MS combined by multivariate analysis can perform genetic discrimination based on global metabolic profiling, intact Arabidopsis thaliana mutant seeds were subjected to DART-MS without any sample preparation. Partial least squares-discriminant analysis (PLS-DA) of DART-MS spectral data from intact seeds classified 14 different lines of seeds into two distinct groups: Columbia (Col-0) and Landsberg erecta (Ler) ecotype backgrounds. A hierarchical dendrogram based on partial least squares-discriminant analysis (PLS-DA) subdivided the Col-0 ecotype into two groups: mutant lines harboring defects in the phenylpropanoid biosynthetic pathway and mutants without these defects. These results indicated that metabolic profiling with DART-MS could discriminate intact Arabidopsis seeds at least ecotype level and metabolic pathway level within same ecotype.The described DART-MS combined by multivariate analysis allows for rapid screening and metabolic characterization of lots of Arabidopsis mutant seeds without complex metabolic preparation steps. Moreover, potential novel metabolic markers can be detected and used to clarify the genetic relationship between Arabidopsis cultivars. Furthermore this technique can be applied to predict the novel gene function of metabolic mutants regardless of morphological phenotypes.Functional genomics of higher plants is conducted primarily using a phenotype-based approach. A knockout or over-expressed gene is assumed to produce an overt phenotype in a model plant. However, in practice a large proportion of mutants show no visible morphological phenotype or the phenotype results from a secondary or pleiotropic change, which hinders identification of the gene function. To achieve the practical goal of functional genomics, a more robust characterization system is required to identify mutants.Global metabolic profiling coupled with statistical analysis is often used for diverse plant biotechnology applications includin
Multi GPU Performance of Conjugate Gradient Solver with Staggered Fermions in Mixed Precision
Yong-Chull Jang,Hyung-Jin Kim,Weonjong Lee
Physics , 2011,
Abstract: GPU has a significantly higher performance in single-precision computing than that of double precision. Hence, it is important to take a maximal advantage of the single precision in the CG inverter, using the mixed precision method. We have implemented mixed precision algorithm to our multi GPU conjugate gradient solver. The single precision calculation use half of the memory that is used by the double precision calculation, which allows twice faster data transfer in memory I/O. In addition, the speed of floating point calculations is 8 times faster in single precision than in double precision. The overall performance of our CUDA code for CG is 145 giga flops per GPU (GTX480), which does not include the infiniband network communication. If we include the infiniband communication, the overall performance is 36 giga flops per GPU (GTX480).
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim,Taewoong Jang,Bohyung Han,Seungjin Choi
Computer Science , 2015,
Abstract: We propose a Bayesian evidence framework to facilitate transfer learning from pre-trained deep convolutional neural networks (CNNs). Our framework is formulated on top of a least squares SVM (LS-SVM) classifier, which is simple and fast in both training and testing and achieves competitive performance in practice. The regularization parameters in LS-SVM is estimated automatically without grid search and cross-validation by maximizing evidence, which is a useful measure to select the best performing CNN out of multiple candidates for transfer learning; the evidence is optimized efficiently by employing Aitken's delta-squared process, which accelerates convergence of fixed point update. The proposed Bayesian evidence framework also provides a good solution to identify the best ensemble of heterogeneous CNNs through a greedy algorithm. Our Bayesian evidence framework for transfer learning is tested on 12 benchmark visual recognition datasets and illustrates the state-of-the-art performance consistently in terms of prediction accuracy and modeling efficiency.
Effects of the combination of P3-based GKT and reality monitoring on deceptive classification
Ki-Won Jang,Deok-Yong Kim,Sungkun Cho,Jang-Han Lee
Frontiers in Human Neuroscience , 2013, DOI: 10.3389/fnhum.2013.00018
Abstract: The study aimed to investigate whether a combination of the P3-based Guilty Knowledge Test (GKT) and reality monitoring (RM) distinguished between individuals who are guilty, witnesses, or informed, and using both tests provided more accurate information than did the use of either measure alone. Participants consisted of 45 males that were randomly and evenly assigned to three groups (i.e., guilty, witness, and informed). The guilty group conducted a mock crime where they intentionally crashed their vehicle into another vehicle in a virtual environment (VE). As those in the witness group drove their own vehicles, they observed the guilty groups' vehicle crash into another vehicle. The informed group read an account and saw screenshots of the accident. All participants were instructed to insist that they were innocent. Subsequently, they performed the P3-based GKT and wrote an account of the accident for the RM analysis. A higher P3 amplitude corresponded to how well the participants recognized the presented stimulus, and a higher RM score corresponded to how well the participants reported vivid sensory information and how much less they reported uncertain information. Findings for the P3-based GKT indicated that the informed group showed lower P3 amplitude when presented with the probe stimulus than did the guilty and witness groups. Regarding the RM analysis, the informed group obtained higher RM scores on visual, temporal, and spatial details and lower scores on cognitive operations than the guilty and witness groups. Finally, discriminant analysis revealed that the combination of the P3-based GKT and RM more accurately distinguished between the three groups than the use of either measure alone. The findings suggest that RM may build upon a weakness of the P3-based GKT's. More specifically, it may build upon its susceptibility to the leakage of information about the crime, therefore helping protect innocent individuals who have information about a crime from being perceived as guilty.
Comparison of Protein Profiles in Sputum between COPD and Acute Exacerbation of COPD  [PDF]
Soo-Taek Uh, Seung Ah Ko, An Soo Jang, Sung Woo Park, Yong-Hoon Kim, Young-Ki Paik, Choon Sik Park
Open Journal of Respiratory Diseases (OJRD) , 2012, DOI: 10.4236/ojrd.2012.22004
Abstract: Background and objective: Chronic obstructive pulmonary disease (COPD) is characterized by progressive airflow limitation that is associated with an abnormal inflammatory response of the lung to noxious particles or gases. Cigarette smoking is the major risk factor for the development of COPD. This study evaluated the levels of cyclophilin B in sputa from patients with COPD and COPD with acute exacerbation (AECOPD). Materials and Methods: Two-dimensional electrophoresis was used for differential display proteomics. Western blotting was used to identify and quantify cyclophilin B in sputum from subjects with AECOPD and COPD. Results: Forty-nine protein spots differed in relative intensity between the AECOPD (n = 6) and COPD (n = 6) subjects. Twenty proteins showed increased expression in the sputum of AECOPD subjects, and 29 proteins were present at lower levels in AECOPD sputum compared with COPD sputum. One of these proteins was associated with cyclophilin B. Cyclophilin B concentrations were lower in sputum from subjects with COPD (n = 4) versus AECOPD (n = 4). Conclusion: The sputum proteomic analysis suggests that changes in various proteins are associated with the development of AECOPD.
Prognostic value of 18-fluorodeoxyglucose positron emission tomography-computed tomography in resectable colorectal cancer
Jang Eun Lee,Sang Woo Kim,Jin Su Kim,Kyu Yong Choi
World Journal of Gastroenterology , 2012, DOI: 10.3748/wjg.v18.i36.5072
Abstract: AIM: To assess the prognostic value of preoperative 18 fluorodeoxyglucose positron emission tomography (FDG-PET)/computed tomography (CT) in patients with resectable colorectal cancer. METHODS: One hundred sixty-three patients with resectable colorectal cancer who underwent FDG-PET/CT before surgery were included. Patient data including pathologic stage at presentation, histology, treatment, disease-free survival and the maximum standardized uptake value (SUVmax) of the primary tumor on FDG-PET/CT were retrospectively analyzed. Median follow up duration was 756 (range, 419-1355). The primary end point was disease-free survival. RESULTS: Twenty-five of 163 patients (15.3%) had recurrences. The median SUVmax values of the recurrence and no-recurrence groups were 8.9 (range, 5-24) and 8.2 (range, 0-23, P = 0.998). Receiver operating characteristic (ROC) curve analysis showed no significant association between SUVmax and recurrence (area under the curve = 0.5, P = 0.998, 95% CI: 0.389-0.611). Because a statistically significant value was not found, SUVmax was dichotomized at its median of 8.6. The disease-free survival curve was analyzed using the median SUVmax (8.6) as the cut off. Univariate and multivariate analysis did not provide evidence that disease-free survival rates for the subgroups defined by the median SUVmax were significantly different (P = 0.52, P = 0.25). CONCLUSION: Our study suggests that the high FDG uptake of primary mass in resectable colorectal cancer doesn’t have a significant relationship with tumor recurrence and disease-free survival.
Identification and Determination of Phenolic Compounds in Rapeseed Meals (Brassica napus L.)  [PDF]
Si-Chang Yang, Mariadhas Valan Arasu, Jin-Hyuk Chun, Young-Seok Jang, Yong-Hwa Lee, In Ho Kim, Ki-Taek Lee, Soon-Taek Hong, Sun-Ju Kim
Journal of Agricultural Chemistry and Environment (JACEN) , 2015, DOI: 10.4236/jacen.2015.41002
Abstract: This study aimed in the identification and quantification of phenolic compounds in different four varieties of rapeseeds (Brassica napus L.) using LC-MS and HPLC. LC-MS analysis guided to identify 12 phenolic compounds including sinapine, sinapine(4-O-8')guaiacyl, feruloyl choline(4-O-8') guaiacyl, kaempferol-3-O-sinapoyl-sophoroside-7-O-glucoside, kaempferol-3-O-β-sophoroside, cyclic spermidine-alkaloid, feruloyl choline(5-8')guaiacyl, kaempferol-sinapoyl-trihexoside,1,2-di- O-sinapoyl-gentiobiose, 1,2-di-O-sinapoyl-glucose, feruloyl choline(4-O-8')guaiacyl-di-sinapoyl, and sinapine(4-O-8')guaiacyl-di-sinapoyl, respectively. Total phenolic compounds in rapeseed meals were ranged from 38.50 (2012 “Sunmang”) to 63.95 mg/g dry weight (DW) (2014 Jeju local cultivar). Main phenolic compositions were cyclic spermidine-alkaloid, kaempferol, feruloyl choline, and sinapine. Sinapine was predominant compound among all the samples ranged from 29.74 to 52.24 mg/g DW (mean 79% of total phenolic contents). This study provided the information for the variation of phenolic compounds between the varieties of rapeseeds and the cultivation periods. Furthermore, this information can be developed for bio-energy industry as a reducer of the cost of the bio-energy products.
Characteristics of the aberrant pyramidal tract in comparison with the pyramidal tract in the human brain
Hyeok Kwon, Su Son, Min Chang, Saeyoon Kim, Yong Kwon, Sung Jang
BMC Neuroscience , 2011, DOI: 10.1186/1471-2202-12-108
Abstract: In thirty-four (18.3%, right hemisphere: 20, left hemisphere: 14) of the 186 hemispheres, the APTs separated from the PT at the upper midbrain level, descended through the medial lemniscus from the midbrain to the pons, and then rejoined with the PT at the upper medulla. Nine (26.5%) of the 34 APTs were found to originate from the primary somatosensory cortex without a primary motor cortex origin. Values of fractional anisotropy (FA) and tract volume of the APT were lower than those of the PT (P < 0.05); however, no difference in mean diffusivity (MD) value was observed (P > 0.05).We found that the APT has different characteristics, including less directionality, fewer neural fibers, and less origin from the primary motor cortex than the PT.The pyramidal tract (PT) is a major neuronal pathway for mediation of voluntary movements in the human brain and has been known to have collateral pathways [1,2]. The aberrant pyramidal tract (APT) indicates the collateral pathway of the PT, which separates from the original PT at the level of the midbrain and the pons, and descends through the medial lemniscus [3-6]. Existence of the APT has been demonstrated by various methods, including pathological, electrophysiological, and radiological studies [3,6-10]. In addition, recently, the APT has been suggested as a motor recovery mechanism in stroke [11-14]. However, detailed characteristics of the APT have not been clearly elucidated.Diffusion tensor tractography (DTT), which is derived from diffusion tensor imaging (DTI), allows visualization and estimation of the PT and APT in three dimensions [3,11,12]. Several DTT studies have reported on the presence of the APT in normal subjects or in patients with brain injury [3,11-14]. However, so far, little is known about the characteristics of the APT in the human brain.In the current study, we investigated the characteristics of the APT in comparison with the PT in the normal human brain, using DTT.In the brains of all subjects, PTs w
Nodeless two-gap superconductivity in stoichiometric iron pnictide LiFeAs
H. Kim,M. A. Tanatar,Yoo Jang Song,Yong Seung Kwon,R. Prozorov
Physics , 2010, DOI: 10.1016/j.physc.2011.05.016
Abstract: The variations of in- and inter- plane London penetration depths, $\Delta\lambda(T)$, were measured using a tunnel diode resonator in single crystals of the intrinsic pnictide superconductor LiFeAs. This compound appears to be in the clean limit with a residual resistivity of 4 ($T\to0$) to 8 ($T_c$) $\mu \Omega\cdot$cm and $RRR$ of 65 to 35, respectively. The superfluid density, $\rho_s(T)=\lambda^2(0)/\lambda^2(T)$, is well described by the self-consistent two-gap $\gamma-$model. Together with the previous data, our results support the universal evolution of the superconducting gap from nodeless to nodal upon departure from optimal doping. We also conclude that pairbreaking scattering plays an important role in the deviation of the low-temperature behavior of $\lambda(T)$ from exponential in Fe-based compounds.
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