23:T52b,Resistance to and survival under acidic conditions are critical for Salmonella to infect the host. As one of the most prevalent serotypes identified in pigs and humans, how S. Derby overcomes acid stress remains unclear. Here, we de novo sequenced the genome of a representative S. Derby strain 14T from our S. Derby strain stock and identified its acid resistance-associated genes using Tn-seq analysis. A total of 35 genes, including those belonging to two-component systems (TCS) (cpxAR), the CRISPR-Cas system (casCE), and other systems, were identified as essential for 14T to survive under acid stress. The results demonstrated that the growth curve and survival ability of ΔcpxA and ΔcpxR were decreased under acid stress, and the adhesion and invasion abilities to the mouse colon cancer epithelial cells (MC38) of ΔcpxR were also decreased compared with the wild type strain, suggesting that the TCS CpxAR plays an essential role in the acid resistance and virulence of S. Derby. Also, CasC and CasE were found to be responsible for acid resistance in S. Derby. Our results indicate that acid stress induces multiple genes' expression to mediate the acid resistance of S. Derby and enhance its pathogenesis during an infection.24:T408,Patient dissatisfaction has long been a recognised problem in current outpatient healthcare delivery systems especially with patient wait time. Many solutions have tried to improve the service quality from the view points of cost reduction and increasing utilisation of medical staff. However, the uncertainty of physician treatment time has been one of the primary concerns for effective scheduling. This paper demonstrates an analytical concept on improving quality of service for a clinic from the aspects of reducing costs and waiting by reclassifying patient visit groups in order to reduce the variability of physician service uncertainty. A case study from an orthopaedic surgery clinic is presented to illustrate the classification method by using a decision tree technique and how the redesign of scheduling better manages the variability of treatment times, helps alleviate the wait time for both patients and physicians, reduce overall costs of waiting and overtime, and consequently, improve the overall service quality.

#	Concept	H-Index	Publications	Citations
1	Medicine	1	1	11
2	Nursing	1	1	11
3	Public Health	1	1	11
4	Emergency Medicine	1	1	11
5	Health Informatics	1	1	11

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