MATERIALS AND METHODS: A total of 40 of the two types of fiber posts, namely, FRC Prostec (FRC) and Fiber KOR (KOR), were used for the experiment. UV irradiation was applied on top of the fiber post surface for 0, 15, 20, and 30 min. The irradiated surface of the fiber posts (n = 5) were immediately bonded with resin cement (Rely X U200) after UV irradiation. Shear bond strength (SBS) MPa was measured, and the dislodged area of post surfaces was examined with scanning electron microscopes. Changes in surface roughness (Ra) of the FRC group after UV irradiation were observed (n = 3) using atomic force microscopy. Data of SBS were statistically analyzed using one-way analysis of variance, followed by multiple comparisons (P < 0.05).

RESULTS: SBS was significantly higher for 20 min of UV irradiation of the FRC group while significantly higher SBS was observed with 15 min of UV irradiation of the KOR group. Resin cement was more evident (cohesive failure) on the dislodged post surface of the UV treated groups compared with the control. The surface roughness of the FRC post was Ra = 175.1 nm and Ra = 929.2 nm for the control and the 20 min group, respectively.

METHODS: Forty-one healthy sedentary males were recruited and randomised into four groups: sedentary control with placebo (C), probiotics (P), circuit training with placebo (Ex), and circuit training with probiotics (PEx) groups. Participants in the Ex and PEx groups performed a progressive load of circuit training at 3 times/week for 12 weeks. Each circuit comprised 10 exercises with work to rest ratio of 1:2. Participants consumed either multi-strain probiotics or placebo twice daily for 12 weeks. Body height and weight, blood pressure, resting heart rate, saliva and blood samples were collected at pre- and post-tests.

RESULTS: Saliva flow rate and salivary IgA, α-amylase, lactoferrin and lysozyme responses were not significantly different (P>0.05) between groups and also between pre- and post-test within each group. Similarly, total leukocytes, total lymphocytes, T lymphocytes, T-helper, T-cytotoxic, B lymphocytes, and natural killer cells counts were not significantly affected (P>0.05) by the probiotics and/or circuit training. However, circuit training significantly increased (P<0.05) immune cells count at post-test as compared to pre-test. Yet, a combination of circuit training and probiotics showed no significant (P>0.05) effects on immune cells count.

Materials and Methods: This study included pre-weaning kids aged 1 month, as well as post-weaning kids aged 3-6 months. 10 pre-weaning purebred Saanen kids (n = 5 male and n = 5 female) and 20 post-weaning Saanen kids (n = 10 male and n = 10 female) were employed in this investigation. Pre-and post-weaning kids' live weights were assessed weekly on a weighing scale, and BCS was calculated based on their body frame. In the data analysis, the two-sample t-test with Minitab Software was utilized.

Results: The findings revealed that pre-weaning Saanen kids gained weight steadily from week 1 to week 6, with males being heavier than females. The p-value, on the other hand, suggested that there was no difference in live weight between pre-weaning male and female Saanen kids. Over 6 weeks of sampling, the male had a larger proportion of live weight gain (80%) than the female (75%). Meanwhile, the BCS of pre-weaning Saanen kids grew from week 1 to week 6. It is critical to account for the development of muscle mass while still evaluating the fat cover to determine whether the kids are maintaining an adequate BCS. However, the live weight of post-weaning kids was inconsequential because they were still in the growing phase. As a result, from the 1st to 6th week, post-weaning kids' body weight and BCS increased as their growth progressed. After 6 weeks of sampling, females had a higher percentage of live weight than males. This is because the kids raised on the farm do not have complete control over the environmental effects. Over 6 weeks of sampling, female post-weaning Saanen kids grew a slightly higher percentage of live weight (88%) than males (85%).

Objective: To determine the effects of prolonged running in the hot and cool environments on selected physiological parameters and salivary lysozyme responses among recreational athletes.

Methods: Randomised and cross-over study design. Thirteen male recreational athletes (age: 20.9 ± 1.3 years old) from Universiti Sains Malaysia participated in this study. They performed two separate running trials; 90 min running at 60% of their respective maximum oxygen uptake [Formula: see text] One running trial was performed in the hot (31ºC) while the other was in the cool (18ºC) environment and this sequence was randomised. Each running trial was started with a 5 min warm-up at 50% of participant's respective [Formula: see text] Recovery period between these two trials was one week. In the both trials, saliva samples, blood samples, heart rate, ratings of perceived exertion, skin and tympanic temperatures, oxygen consumption, nude body weight, room temperature, and relative humidity were collected.

METHODS: Fifty-one participants performed the standard incremental treadmill exercise in a controlled laboratory setting with 12-lead ECG attached to the patient's body and wearing wrist-worn PPG trackers.

RESULTS: At each stage, the absolute percentage error of the PPG was within 10% of the standard acceptable range. Further analysis using a linear mixed model, which accounts for individual variations, revealed that PPG yielded the best performance at the baseline low-intensity exercise. As the stages progressed, heart rate validity decreased but was regained during recovery. The reliability was moderate to excellent.

MATERIALS AND METHODS: This cross- sectional study was conducted among 286 non-smokers from two healthcare training centres and two nearby colleges in Malaysia from January 2015 to April 2015. A standardized questionnaire was administered via staff and student emails. The questionnaire collected information on sociodemographic characteristics, support for a tobacco-free policy and perceived respiratory and sensory symptoms due to tobacco exposure. Bivariate and multivariate logistic regression analyses were performed to estimate the independent effects of supporting a tobacco-free campus.

RESULTS: The percentage of individuals supporting completely tobacco-free facilities was 83.2% (N=238), as opposed to 16.7% (N=48) in support of partially tobacco-free facilities. Compared to the supporters of partially tobacco-free facilities, non-smokers who supported completely tobacco-free health facilities were more likely to be female, have higher education levels, to be very concerned about the effects of other people smoking on their health and to perceive a tobacco-free policy as very important. In addition, they perceived that tobacco smoke bothered them at work by causing headaches and coughs and, in the past 4 weeks, had experienced difficulty breathing. In the multivariate model, after adjusting for sociodemographic characteristics and other factors, only experiencing coughs and headaches increased the odds of supporting a completely tobacco-free campus, up to 2.5- and 1.9-fold, respectively.