This study was conducted to evaluate the effects of ImmunoSEB as an immune-booster additive on the performance of broiler chicks. A total of 1150 broiler chickens were randomly allotted to three treatments on the basis of body weight (10 pens per treatment with 40 broilers in each pen): the control (CON), CON + ImmunoSEB 0.025% in feed (SEB25), and CON + ImmunoSEB 0.050% in feed (SEB50). The experiment was conducted for d 42 in three phases (phase 1, d 0–14; phase 2, d 15–28; and phase 3, d 29–42). There were significant differences in the average daily gain (ADG) and feed intake. The ADG at d 14 in the SEB50 treatment was greater than that in the CON treatment. The overall ADG in the SEB50 treatment was greater than that in the CON treatment. During d 0–14, the feed intake of chickens in the SEB50 treatment increased compared to that in the CON treatment. The crude protein and lysine digestibility improved in the SEB25 and SEB50 treatments compared to those in the CON treatment at d 28. Superoxide dismutase concentration significantly increased in the SEB50 treatment compared to that in the CON treatment. The interleukin-1β and tumor necrosis factor-α concentrations were higher in the cecum of chickens in the CON treatment than in the SEB25 and SEB50 treatments. A lower population of E. coli was detected in the ileum and cecum of broilers fed the SEB50 diet compared to those of broilers fed the CON diet. The overall result showed the beneficial effects of using ImmunoSEB at a dose of 0.050% in broiler chickens.

The walker provides stability for walking for people whose lower extremities are disabled. It is important to measure and determine the appropriate height of a walker to conserve energy and to improve function. The purposes of this study were to examine effects of walker height and gait velocity on triceps, latissimus dorsi muscle activation, and energy expenditure index (EEI) during ambulation with a walker. Fifteen healthy subjects participated in this study. Each subject was assigned a walker with one of three heights (high, standard, lower height) and of two gait velocities (comfortable gait velocity or fast gait velocity). Electromyographic data were collected from triceps and latissimus dorsi, and EEI was determined from each condition. Two-way repeated analysis of variance (ANOVA) was used to determine the statistical significance. Post hoc comparison was performed with the Bonferroni test. The results of this study were summarized as follows: 1. There was a significant difference in the %MVIC of triceps among different walker height factors. Post hoc comparison revealed that %MVIC of dominant triceps brachii was more significantly increased in patients who used the higher walker than those who used the lower walker (p<.05). 2. There were significant differences in the %MVIC of the latissimus dorsi among different walker height factors and gait velocity factors. Post hoc comparison revealed that the %MVIC of dominant latissimus dorsi was also more significantly increased in patients who used the higher walker than those who used the lower walker (p<.05) and in those who used the faster gait velocity than those who used the slower gait velocity (p<.05). 3. There were significant differences in the EEI among different walker height factors and gait velocity factors. Post hoc comparison revealed that the EEI was significantly increased among those who used higher and lower walkers compared with the standard walker. The EEI was also more significantly increased among those who used the fast gait velocity than those who used the slower gait velocity (p<.05). It has been concluded that increased muscle activation in triceps and latissimus dorsi was required when the walker height increased and that more energy was exp ended when the gait velocity increased. Therefore, from the findings of this study, it is recommended that walker height be adjusted according to the purposes of gait training and that healthy subjects conserve energy when ambulating with standard walkers in a comfortable gait velocity.

This research and development analysis provides numerical analysis techniques that can be used conveniently to determining the safety of the current state and to predict the stability in the future. It also seeks to present algorithms of back analysis to develop unified management system for control, prediction, coordination, and information modeling that can reasonably handle appropriate responses to structural behavior at project sites and design changes.