Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 Prediction.

As an indicator measured by incubating organic material from water samples in rivers, the most typical characteristic of water quality items is biochemical oxygen demand (BOD5) concentration, which is a stream pollutant with an extreme circumstance of organic loading and controlling aquatic behavior in the eco-environment. Leading monitoring approaches including machine leaning and deep learning have been evolved for a correct, trustworthy, and low-cost prediction of BOD5 concentration. The addressed research investigated the efficiency of three standalone models including machine learning (extreme learning machine (ELM) and support vector regression (SVR)) and deep learning (deep echo state network (Deep ESN)). In addition, the novel double-stage synthesis models (wavelet-extreme learning machine (Wavelet-ELM), wavelet-support vector regression (Wavelet-SVR), and wavelet-deep echo state network (Wavelet-Deep ESN)) were developed by integrating wavelet transformation (WT) with the different standalone models. Five input associations were supplied for evaluating standalone and double-stage synthesis models by determining diverse water quantity and quality items. The proposed models were assessed using the coefficient of determination (R2), Nash-Sutcliffe (NS) efficiency, and root mean square error (RMSE). The significance of addressed research can be found from the overall outcomes that the predictive accuracy of double-stage synthesis models were not always superior to that of standalone models. Overall results showed that the SVR with 3th distribution (NS = 0.915) and the Wavelet-SVR with 4th distribution (NS = 0.915) demonstrated more correct outcomes for predicting BOD5 concentration compared to alternative models at Hwangji station, and the Wavelet-SVR with 4th distribution (NS = 0.917) was judged to be the most superior model at Toilchun station. In most cases for predicting BOD5 concentration, the novel double-stage synthesis models can be utilized for efficient and organized data administration and regulation of water pollutants on both stations, South Korea.

Health promotion in young adults at a university in Korea: A cross-sectional study of 625 participants in a university.

Young adulthood is a critical developmental period for establishing life-long health behaviors. However, too little attention has been paid to young adult health promotion. The purpose of this study was to describe the processes of development and implementation involved in a collaborative university-wide health promotion program and to evaluate the achievements of the program.A 3-day university-wide health promotion program was developed and implemented in the nation's largest public university in South Korea in September 2013. Its objectives were to heighten health awareness, to promote healthy behaviors, especially active lifestyle and healthy diet, and to disseminate health knowledge, skills, and access to health resources among young people. The program comprised 14 health lectures, 12 events, and 25 booths. To monitor and evaluate the program, a cross-sectional postevent survey was conducted. A convenience sample of 625 university members who participated in the program was used. The statistics were analyzed with a general linear model and paired t test.The program evaluation demonstrated that this university-wide program effectively provided opportunities for students to access health information, knowledge, skills, self-confidence, and available health services and resources. Participants positively evaluated most of the processes of the program activities and services. Participants' overall evaluation score (83% rated "excellent" or "good") and reparticipation intention (86%) were high. The majority of participants reported increased awareness of health (80%) and the need for a university health promotion program (87%) after the program. Most of the evaluation scores were similarly high for health lectures and booths/events.In conclusion, the university-wide health promotion program was effective in improving university members' health awareness and providing opportunities for students to access various health information and resources. We believe that our results would be useful for sharing information on the planning and implementation of future university health promotion programs.

Estimation of optimal pediatric chest compression depth by using computed tomography.

OBJECTIVE: This study aimed to compare the optimal chest compression depth for infants and children with that of adults when the simulated compression depth was delivered according to the current guidelines. METHODS: A total of 467 consecutive chest computed tomography scans (93 infants, 110 children, and 264 adults) were reviewed. The anteroposterior diameter and compressible diameter (CD) for infants and children were measured at the inter-nipple level and at the mid-lower half of the spine for adults. Compression ratio (CR) to CD was calculated at simulated 1/4, 1/3, and 1/2 antero-posterior compressions in infants and children, and simulated 5- and 6-cm compressions in adults. RESULTS: In adults, the CRs to CD at simulated 5- and 6-cm compression depth were 41.7±0.16%, 50.0±7.3% respectively. In children and infants, the CRs to CD at 1/3 chest compression were 55.1±2.4% and 51.8±2.4%, respectively, and at 1/2 chest compression, CRs were 82.7±3.7% and 77.7±3.6%, respectively. The CRs to CD of 4-cm compression depth in infants and 5-cm compression depth in children were 74.4±10.9%, 62.5±8.7%, respectively. The CRs to CD for children and infants were significantly higher than in adults (P<0.001). The CR to CD of 4-cm compression depth in children was almost similar to that of 6-cm compression depth in adults (50.0± 6.9% vs. 50.0±7.3%, P=0.985). CONCLUSION: Current pediatric guidelines for compression depth are too deep compared to those in adults. We suggest using 1/3 of the anteroposterior chest diameter or about 4 cm in children and less than 4 cm in infants.

Diode-pumped solid-state laser for bonding orthodontic brackets: effect of light intensity and light-curing time.

This study evaluated the shear bond strength (SBS) of orthodontic brackets bonded to teeth using a diode-pumped solid state (DPSS) laser of 473 nm with various light intensity and light-curing settings. For the study, a total of 150 extracted human teeth were divided into ten groups. In the control group, the brackets were bonded to the teeth using a quartz-tungsten-halogen (QTH) light with an intensity of 900 mW/cm(2). In the experimental groups, the brackets were bonded using a DPSS laser with three different light intensities and light-curing times. The same bracket type and adhesive were used in all groups throughout the study. Statistical analysis was performed to compare the SBS, and adhesive remnant index (ARI) among the groups. As results, brackets bonded using the DPSS laser with an intensity of 700 mW/cm(2) for 40 s (totally) showed a slightly higher SBS (12.2 ± 1.8 MPa) than that of those bonded using a QTH light (control; 11.6 ± 1.6 MPa). The SBS values linearly increased with increasing energy density (light intensity × light-curing time) of the DPSS laser (R = 0.95, p < 0.001). However, the SBS values among the test groups were similar regardless of the difference in light-curing conditions. A comparison of the ARI scores among the groups suggested a similar bracket failure mode.