QKD key generation control protocol

Polarization-encoding fiber QKD requires compensation of polarization distortion caused by birefringence in optical fiber. Solving this task inevitably requires losing some effectiveness in terms of the final key rate. In this work, a time-division multiplexing protocol for polarisation calibration is suggested. This protocol was implemented in a QRate commercial QKD fiber system, utilizing BB84-protocol. Parameters of the protocol were optimized to maximize the secret key rate.

Tight glycaemic control and surgical site infections post cardiac surgery: a systematic review

Objective: Surgical site infection (SSI) is one of the most serious potential complications post cardiac surgery among patients with diabetes and has a number of adverse health outcomes. The literature shows discrepancies regarding the effect of different glycaemic control protocols on reducing adverse health outcomes including SSIs. The aim of this study was to conduct a systematic review that investigated the effect of the optimal range of tight glycaemic control protocols using a continuous insulin infusion on reducing the incidence of SSIs in adult patients with diabetes undergoing cardiac surgery. Method: A systematic review was conducted following the PRISMA statement and guidelines. Search terms were used to identify research studies published between 2000 and 2019 across five key databases, including CINAHL, Medline, PubMed, Cochrane Database and Google Scholar. Results: A total of 12 studies met the review inclusion criteria. The reviewed literature tended to support the implementation of a tight glycaemic control protocol, particularly in the postoperative phase, that demonstrated fewer potential complications associated with cardiac surgery. On the other hand, the literature also supported the application of a moderate glycaemic control protocol in the intraoperative phase to obtain better glycaemic stability with fewer potential complications among those patients with diabetes undergoing cardiac surgery. Conclusion: This analysis concludes that tight glycaemic control is more effective than moderate glycaemic control intraoperatively in terms of glycaemic stability among patients with diabetes undergoing cardiac surgery. Results also emphasised the importance of time-based protocol implementation to ensure better health outcomes and better quality of care for patients.

A Study to Assess the Knowledge of Staff Nurses on Infection Control Protocol in NICU Suitable for Peripheral Newborn Clinic at Selected Hospital of Jabalpur City, Madhya Pradesh

Newborn care is one of the vital sectors to be looked into in order to reduce neonatal mortality and morbidity. Infection is great area of concern, especially for the newborn babies, we are losing many babies, because of sepsis in resources limited setting, while it is difficult to treat neonatal sepsis, it is rather easier to prevent infections. Recommendations for prevention for infection, with special references to the rural Indian scenario. The approaches towards the prevention of neonatal sepsis are multi-disciplinary. Comprising of neonatologist, hospital administration, nursing staff, and engineers. Thus making implementation easy, if the equipment and other consumable are manufactured indigenously bulk, and in a large quantities, thus reducing the financial burden on the hospital and the health care cost of the country. The present study was to evaluate the knowledge of staff nurses on infection control protocol. Total sample size consumed of 100 staff nurses and convenience sampling was used area in Jabalpur Madhya Pradesh. Data was collected using a self – structured question are purposive sampling. Regarding demographic variables majority highest number of respondents was in the educational qualification staff nurses. Majority of the respondent (49 %) had experiences in SNCU. It was found that self-instructional module was very effective in improving the knowledge of staff nurses of regarding infection control protocol in NICU.

A price-aware congestion control protocol for cloud services

In current infrastructure-as-a service (IaaS) cloud services, customers are charged for the usage of computing/storage resources only, but not the network resource. The difficulty lies in the fact that it is nontrivial to allocate network resource to individual customers effectively, especially for short-lived flows, in terms of both performance and cost, due to highly dynamic environments by flows generated by all customers. To tackle this challenge, in this paper, we propose an end-to-end Price-Aware Congestion Control Protocol (PACCP) for cloud services. PACCP is a network utility maximization (NUM) based optimal congestion control protocol. It supports three different classes of services (CoSes), i.e., best effort service (BE), differentiated service (DS), and minimum rate guaranteed (MRG) service. In PACCP, the desired CoS or rate allocation for a given flow is enabled by properly setting a pair of control parameters, i.e., a minimum guaranteed rate and a utility weight, which in turn, determines the price paid by the user of the flow. Two pricing models, i.e., a coarse-grained VM-Based Pricing model (VBP) and a fine-grained Flow-Based Pricing model (FBP), are proposed. The optimality of PACCP is verified by both large scale simulation and small testbed implementation. The price-performance consistency of PACCP are evaluated using real datacenter workloads. The results demonstrate that PACCP provides minimum rate guarantee, high bandwidth utilization and fair rate allocation, commensurate with the pricing models.