• Geomechanics and Engineering
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• v.37 no.3
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• pp.197-211
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• 2024

This research studies the effect of geotechnical factors on EPB-TBM performance parameters. The modeling was performed using simple and multivariate linear regression methods, artificial neural networks (ANNs), and Sugeno fuzzy logic (SFL) algorithm. In ANN, 80% of the data were randomly allocated to training and 20% to network testing. Meanwhile, in the SFL algorithm, 75% of the data were used for training and 25% for testing. The coefficient of determination (R²) obtained between the observed and estimated values in this model for the thrust force and cutterhead torque was 0.19 and 0.52, respectively. The results showed that the SFL outperformed the other models in predicting the target parameters. In this method, the R² obtained between observed and predicted values for thrust force and cutterhead torque is 0.73 and 0.63, respectively. The sensitivity analysis results show that the internal friction angle (φ) and standard penetration number (SPT) have the greatest impact on thrust force. Also, earth pressure and overburden thickness have the highest effect on cutterhead torque.

• Physical Therapy Rehabilitation Science
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• v.2 no.2
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• pp.104-110
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• 2013

Objective: The purpose of this study was to investigate the effects of intensive gait training with body weight support treadmill training on gait and balance in stroke disability patients. Design: Randomized controlled trial. Methods: Twenty-six stroke patients (20 men and 6 women) participated in this study. All subjects were hospitalized patients. They were randomly divided into two groups: the experimental group (body weight supported treadmill training group, n=14) and control group (treadmill group, n=12). The mean ages were 52.07 years (experimental group) and 53.83 years (control group). Subjects in both groups received conventional training 10 times/wk. Subjects in the experimental group practiced body weight supported treadmill training for 30 minutes a day, 3 day/wk. Subjects in the control group practiced treadmill training for 30 minutes. The Berg Balance Scale (BBS) and GAITRite were used to evaluate balance and gait parameters (step length, cadence and gait speed) before and after the intervention. Results: BBS scores in the experimental group showed significantly greater improvement ($4.33{\pm}1.54$), compared with the control group (p<0.05). Significantly greater improvement in the gait speed ($24.13{\pm}4.53$ cm/s), affected side step length ($10.40{\pm}3.42$ cm), sound side step length ($11.97{\pm}3.29$ cm), and cadence ($23.88{\pm}5.52$ step/min), compared with the control group (p<0.05). Conclusions: Intensive gait training with Body Weight Support Treadmill Training may improve gait and balance in subacute stroke.

• Journal of the Korean Society of Physical Medicine
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• v.7 no.4
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• pp.411-421
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• 2012

PURPOSE: The purpose of this study was to investigate the effect of balance rehabilitation training with the visual cue deprivation on gait function in stroke patients in comparison with balance training without the visual cue deprivation. METHODS: Twenty two stroke patients participated in this study. Patients were randomly assigned to one of the two balance training program with and without the visual cue deprivation. Balance training session for each group lasted 50 minutes, 3 times a week for a total of 6 weeks. Gait function was measured with the Functional Gait Assessment (FGA), the self-selective comfortable gait speed (CGS), the maximal gait speed (MGS), and the Gait Analysis System. Temporal and spatial gait parameters of each evaluation were measured before and after the balance training program respectively. RESULTS: After the program, the visual cue deprivation group improved significantly in the FGA, the CGS, the gait velocity, the step time, the step length, the stride length, and the Functional Ambulation Performance (FAP) in comparison with the balance training group with the visual cue (p<.05). CONCLUSION: The gait function of the participants with the visual cue deprivation showed more improvement after the balance training program compared to the patients group without the visual cue deprivation, Therefore, the balance training program with the visual cue deprivation may be useful for rehabilitation of patients with chronic stroke.

• PNF and Movement
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• v.20 no.3
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• pp.417-430
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• 2022

Purpose: The purpose of this study was to examine the effect of weight-bearing training with an elastic band during functional electrical stimulation (FES) on walking and balance functions in stroke patients. Methods: Twenty patients with chronic stroke were divided into an experimental group assigned to weight-bearing training with an elastic band during functional electrical stimulation (FES; n=10) and a control group assigned to weight-bearing training alone during FES (n=10). The patients in both groups attended physical therapy sessions five times a week for four consecutive weeks. The experimental group underwent weight-bearing training with an elastic band during FES five times a week for four weeks. The control group underwent weight-bearing training during FES. Balance parameters were measured before and after the intervention using the Balancia program. Moreover, all patients were evaluated using the Berg Balance Scale (BBS), the Time Up and Go Test (TUGT), and the Wisconsin Gait Scale (WGS) before and after each intervention. Results: The results showed that weight-bearing training with elastic bands during FES and weight-bearing training during FES had a significant effect on the affected side's weight-bearing ratio, BBS, TUGT, and WGS in both groups (p <0.05). Additionally, the results showed that the changes observed in the two groups indicate significant differences in path length, average speed, BBS score, TUGT time, and WGS score between the groups (p < 0.05). Conclusion: In patients with stroke, weight-bearing training with an elastic band during FES affected on walking and balance. Therefore, it is an optional intervention for the balance and walking ability of stroke patients.

• International Journal of Industrial Entomology and Biomaterials
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• v.8 no.1
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• pp.33-41
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• 2004

The type of trichomes, their density and pattern of distribution on leaves of 16 genotypes of mulberry, belonging to both diploid and polyploid categories, were studied by scanning electron microscope. The present investigation was undertaken to find out the relationship of physical attributes, especially the density and trichome types with higher acceptability and better rearing performance by the silkworm Bombyx-mori L. Two types of trichomes glandular and non-glandular types were observed on both the leaf surfaces of all the mulberry genotypes studied. In general, greater densities of trichomes were observed on the abaxial surface than the adaxial surface of leaves in most of the genotypes. Distribution of glandular trichomes were more in abaxial surface and non-glandular trichomes were more in adaxial surface. Overall, distribution of glandular and non-glandular trichomes per unit area of leaf did not follow any regular pattern. When leaves of those genotypes were fed to silkworms, trichome density was found to be significantly negatively correlated with the survival of larvae i.e., effective rate of rearing, but trichome density did not influence the economic characters of rearing. As the distribution of glandular trichomes (GT) and non-glandular trichomes (NGT) did not follow any definite pattern, no relation could be established between the GT and NGT densities with silkworm rearing performance. However, the ratio of GT and NGT in a particular genotype influenced the rearing parameters, higher the ratios better the rearing performance. High GT and NGT ratio (＞1.00) was found positively significant when correlated with economic parameters viz., larval weight, single cocoon weight and single shell weight. The study is useful in screening different mulberry genotypes for their better acceptability to silk-worm and higher rearing performance at the early stage of selection without actually conducting the rearing.

• International Journal of Industrial Entomology and Biomaterials
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• v.19 no.2
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• pp.221-228
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• 2009

Nosema sp. infection in the Indian tasar silkworm, Antheraea mylitta exerts a complex of influences on its host. The instar duration was extended significantly (P<0.001) except in $1^{st}$ instar. The infected larvae took about 48 days to reach the spinning stage against 40 days in the uninfected ones. The final weight attained by the larva at the end of each instar of development declined significantly following infection, as did weight gain and relative growth rate (RGR). The growth recorded/ day declined in infected larvae compared to uninfected ones from 8.2% during $1^{st}$ instar to 43.3% during $5^{th}$ instar. Food ingestion and digestion increased with advancement of the instar significantly irrespective of the status of the larvae but the relative consumption rate (RCR) declined. These parameters significantly declined in infected larvae (except food digested during $2^{nd}$ instar). The decline was more during $3^{rd}$ instar. In contrast, the approximate digestibility (AD %) was significantly higher in infected larvae than uninfected ones leaving the $1^{st}$ instar larvae unaffected. The efficiency of conversion of ingested food (ECI) and efficiency of conversion of digested food (ECD) did not change in a patterned way following the microsporidia (Nosema sp.) infection. The values of ECI significantly changed during $2^{nd}$, $3^{rd}$ and $5^{th}$ instars; while the change in ECD during $2^{nd}$, $4^{th}$ and $5^{th}$ were significant. During the entire larval life all the parameters tends to decline significantly following microsporidia infection but AD registered a significant increase. Nosema sp. spore concentration has increased 270.7 times during larval development in the course of experimentation.

• The Journal of Korean Physical Therapy
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• v.34 no.6
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• pp.298-303
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• 2022

Purpose: The purpose of this study was to figure out how PAP (Post-Activation Potentiation) phenomenon affects short-term performance efficiently. Methods: This study was conducted with 18 Taekwondo athletes and 16 healthy adults. By using isokinetic dynamometer, two different intervention, TDP (Top-down program) and BUP (Bottom-up program), were performed to measure isokinetic parameter; (peak torque: PT, total work: TW, average power: AP, and average torque: AT) of knee extensor for intragroup, intergroup comparison and two-way ANOVA. Results: The Taekwondo athletes group showed statistically significant differences in all isokinetic parameters PT, TW, AP, and AT after TDP (p<0.05). However, in the healthy adult group, the difference in isokinetic parameters according to the exercise sequence was not statistically significant. (p>0.05). PT and TW at TDP were statistically significant (p<0.05) when the rate of change in TDP and BUP was compared and analyzed considering the difference in physical ability between the Taekwondo athlete group and the healthy adult group. However, AP and AT were not statistically significant. Finally, when examining the interaction between the two groups and two exercise sequence according to isokinetic parameters, only TW (p<0.05) showed a statistically significant interaction, while PT (P=0.099), AP (P=0.103), and AT (P=0.096) did not. This study suggests that short-term performance can be improved through the PAP phenomenon when TDP is applied to the Taekwondo group. Conclusion: According to our result, for Taekwondo athletes, if the goal is to improve short-term performance just before the main game, we suggest a training program through TDP.

• Korean Journal of Applied Biomechanics
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• v.24 no.4
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• pp.391-397
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• 2014

The purpose of this work is to biomechanically study the effect of the one leg standing pose in yoga.. The work have been done through the evaluation for the left and right symmetry ability of one leg standing pose in the before and after yoga training for the 14 female yoga subject group (height: $164.3{\pm}4.4cm$, mass: $53.4{\pm}6.4kg$, year: $20.0{\pm}0.49yrs$) participated in this experiment. The motions of one leg standing pose were captured with Vicon system and the parameters were calculated with Visual-3D and Ground reaction force system. The results were as followed; - Front and backward COPsd did not show the significant difference, compared the before training with the after. - Left and right COPsd showed the significant difference (p<0.05), compared the before training with the after. - COP distance showed the significant difference (p<0.01), compared the before training with the after. - The asymmetry index of front and backward COPsd did not show the significant difference, compared the before training with the after. - The asymmetry index of left and right COPsd did not show the significant difference, compared the before training with the after. - The asymmetry index of COP distance showed the significant difference (p<0.01), compared the before training with the after. Therefore, the yoga training demonstrated the stable improvement in the one leg standing pose of inferior feet and the positive effect to the left and right symmetry ability.

• Journal of Korea Water Resources Association
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• v.34 no.4
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• pp.303-316
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• 2001

In this study, Radial Basis Function(RBF) Neural Networks Model, a kind of Hybrid Neural Networks was applied to hydrological forecasting in a small watershed. RBF Neural Networks Model has four kinds of parameters in it and consists of unsupervised and supervised training patterns. And Gaussian Kernel Function(GKF) was used among many kinds of Radial Basis Functions(RBFs). K-Means clustering algorithm was applied to optimize centers and widths which ate the parameters of GKF. The parameters of RBF Neural Networks Model such as centers, widths weights and biases were determined by the training procedures of RBF Neural Networks Model. And, with these parameters the validation procedures of RBF Neural Networks Model were carried out. RBF Neural Networks Model was applied to Wi-Stream basin which is one of the IHP Representative basins in South Korea. 10 rainfall events were selected for training and validation of RBF Neural Networks Model. The results of RBF Neural Networks Model were compared with those of Elman Neural Networks(ENN) Model. ENN Model is composed of One Step Secant BackPropagation(OSSBP) and Resilient BackPropagation(RBP) algorithms. RBF Neural Networks shows better results than ENN Model. RBF Neural Networks Model spent less time for the training of model and can be easily used by the hydrologists with little background knowledge of RBF Neural Networks Model.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.13 no.1
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• pp.28-32
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• 2002

Background and Objective : Classical singing students who have received in systematic voice training appeared distinctive voice characteristics compared to normal people who have not received in systematic voice training. The purpose of this study was to determine the correlation between acoustic parameters and Electroglottography(EGG) parameters in two groups(ordinary college students vs. classical singing students group). Materials and Methods : The 80 ordinary college students and 65 classical singing students participated in this study by utilizing Dr. speech program to obtain acoustic measurements and physiologic measurements simultaneously. The Pearson correlation coefficient was used to find the correlation between acoustic parameters and EGG parameters in two groups(ordinary college students group and classical singing students group). Results : The results of the study were as follows : First, there was no correlation between Jitter and EGG Jitter in ordinary college students group, but there was strong correlation between Jitter and EGG Jitter in classical singing students group. Second, there was no correlation between Shimmer and EGG Shimmer in ordinary college students group, but there was strong correlation between Shimmer and EGG Shimmer in classical singing students group. Third, there was no correlation between Harmonic to Noise Ratio(HNR) and EGG HNR in ordinary college students group, but there was strong correlation between HNR and EGG HNR in classical singing students group. Finally, there was no correlation between Normalized Noise Energy(NNE) and EGG NNE in two groups.