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PURPOSE The purpose of this study was to compare and analyze the effects of Taekwondo training including 8-week inspiratory muscle training on physical fitness, CRP, pulmonary function and isokinetic muscle function of middle-aged male smokers. METHODS 21 middle-aged male smokers were divided into 3 groups: inspiratory muscle training+Taekwondo training group (n=7), Taekwondo training group (n=7) and control group (n=7). Measurement variables were physical fitness (Body composition, muscular strength, muscular endurance, flexibility, cardiorespiratory function, balance), CRP, pulmonary function (FVC, FEV1, FEV1/FVC), and isokinetic muscle function (peak torque %BW, average power %BW). The repeated measure ANOVA was conducted to analyze the differences and interactions between groups and periods. In the case of any difference, t-test was conducted to perform post hoc test between pre and post treatment and the contrast was conducted to perform post hoc test between groups. One-way analysis of variance (ANOVA) was used between groups, and repeated measures t-test was used between groups. All significance levels were verified at .05. RESULTS As a result, the combined exercise group also showed statistically significant changes in the physical fitness (Body composition, muscular strength, muscular endurance, flexibility, cardiorespiratory function), pulmonary function (FEV1, FEV1/FVC), and isokinetic muscle function (peak torque %BW). CONCLUSIONS Consequently, it shows that 8 weeks Taekwondo training including inspiratory muscle training made a positive effect on fat content, muscular strength, muscular endurance, cardio respiratory fitness, R-extension in peak torque %BW in middle-aged male smokers.

PURPOSE The purpose of this study is to examine on the effects of 12 weeks combined exercised on physical fitness, Irisin and BNDF in white-collar women workers who are sedentary lifestyles. METHODS In this study, there were controlled groups and exercise group: one was composed of women who had no regular exercise program and sedentary lifestyle (n=20), the other was made of white-collar women who had combined exercise, no muscular skeletal disease, same lifestyle (n=19), totally 39 women were participated in this study. Combined exercises were composed of aerobic exercise, resistance exercise, flexibility, and balance exercise: Conducting mid-level exercise with 65% VO2max consumption, 3 times a week, and 80 minutes for 12 weeks. For certifying the purpose of this study, calculate the average and standard deviation of every variant using descriptive statistics and apply analysis of covariance measures ANCOVA for interaction between groups. RESULTS In LBM and Body fat percentage, there was no significant difference after exercise. In other words, there was significant difference in body fat (p

Predicting photolithography performance in silico for a given materials combination is essential for developing better patterning processes. However, it is still an extremely daunting task because of the entangled chemistry with multiple reactions among many material components. Herein, we investigated the EUV-induced photochemical reaction mechanism of a model photoacid generator (PAG), triphenylsulfonium cation, using atomiC–Scale materials modeling to elucidate that the acid generation yield strongly depends on two main factors: the lowest unoccupied molecular orbital (LUMO) of PAG cation associated with the electron-trap efficiency ‘before C–S bond dissociation’ and the overall oxidation energy change of rearranged PAG associated with the proton-generation efficiency ‘after C–S bond dissociation’. Furthermore, by considering stepwise reactions accordingly, we developed a two-parameter-based prediction model predicting the exposure dose of the resist, which outperformed the traditional LUMO-based prediction model. Our model suggests that one should not focus only on the LUMO energies but also on the energy change during the rearrangement process of the activated triphenylsulfonium (TPS) species. We also believe that the model is well suited for computational materials screening and/or inverse design of novel PAG materials with high lithographic performances.

Aspirin-exacerbated respiratory disease (AERD) is one phenotype of asthma, often occurring in the form of a severe and sudden attack. Due to the time-consuming nature and difficulty of oral aspirin challenge (OAC) for AERD diagnosis, non-invasive biomarkers have been sought. The aim of this study was to identify AERD-associated exonic SNPs and examine the diagnostic potential of a combination of these candidate SNPs to predict AERD. DNA from 165 AERD patients, 397 subjects with aspirin-tolerant asthma (ATA), and 398 normal controls were subjected to an Exome BeadChip assay containing 240K SNPs. 1,023 models (210-1) were generated from combinations of the top 10 SNPs, selected by the p-values in association with AERD. The area under the curve (AUC) of the receiver operating characteristic (ROC) curves was calculated for each model. SNP Function Portal and PolyPhen-2 were used to validate the functional significance of candidate SNPs. An exonic SNP, exm537513 in HLA-DPB1, showed the lowest p-value (p = 3.40×10-8) in its association with AERD risk. From the top 10 SNPs, a combination model of 7 SNPs (exm537513, exm83523, exm1884673, exm538564, exm2264237, exm396794, and exm791954) showed the best AUC of 0.75 (asymptotic p-value of 7.94×10-21), with 34% sensitivity and 93% specificity to discriminate AERD from ATA. Amino acid changes due to exm83523 in CHIA were predicted to be "probably damaging" to the structure and function of the protein, with a high score of '1'. A combination model of seven SNPs may provide a useful, non-invasive genetic marker combination for predicting AERD.