Cascaded Entanglement Enhancement

We present a cascaded system consisting of three non-degenerate optical parametric amplifiers (NOPAs) for the generation and the enhancement of quantum entanglement of continuous variables. The entanglement of optical fields produced by the first NOPA is successively enhanced by the second and the third NOPAs from -5.3 $dB$ to -8.1 $dB$ below the quantum noise limit. The dependence of the enhanced entanglement on the physical parameters of the NOPAs and the reachable entanglement limitation for a given cascaded NOPA system are calculated. The calculation results are in good agreement with the experimental measurements.Comment: 5 pages, 4 figure

Where to park an autonomous vehicle?:Results of a stated choice experiment

The future innovation and growing popularity of autonomous vehicles have the potential to significantly impact the spatiotemporal distribution of parking demand. However, little knowledge is gained on how people will choose to park their autonomous cars. In principle, an autonomous vehicle is not necessarily parked close by like traditional vehicles leveraging the automated driving and parking capability, still, the decision made by people is important for policymakers in urban and transportation planning. This study attempts to gain useful insights to understand people's parking location choices for autonomous vehicles. A stated choice experiment was designed, allowing people to choose a parking location for autonomous vehicles in varied contexts, including time windows, picking-up times, and the requirement for on-time arrival at the next activity. We found that similar to conventional cars people generally prefer cheaper and/or closer parking lots for autonomous vehicles. However, the distance between a parking lot and the activity location is relatively longer in the case of autonomous vehicles. The amount of time an autonomous vehicle spends in congestion while picking up the users influences the choice of parking locations. Moreover, substantial preference heterogeneity between individual people was found in the parking choice behavior. The maximum value of access time for autonomous cars is 34 $/h which is higher than the empirical value of walking time for conventional cars. Results of elasticity indicate that the influence of parking fees is larger than that of access time and congestion time.</p

Correlation between glomerular filtration rate and insulin resistance index in patients with type 2 diabetes mellitus and chronic kidney disease

Objective: To investigate the changes of insulin resistance index[Homa-IR (CP)] in patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) at different stages of glomerular filtration rate (eGFR), and to analyze the relationship between them. Methods: From January 2015 to June 2019, 1013 patients with T2DM and CKD were admitted to Mudanjiang Cardiovascular Disease Hospital Diabetes Branch Hospital (grade three grade a hospital). The general conditions of the patients were collected, and the biochemical indexes were measured by the laboratory department of our hospital. After calculating the HOMA IR (CP) and EGFR values according to the obtained data, the patients were divided into five groups according to the CKD grouping criteria: 0 ~ 15 ml·(min·1. 73m2)-1 for group A, 15 ~ 30 ml·(min·1. 73m2)-1 for group B, 30 ~ 45 ml·(min·1. 73m2)-1 for group C, 45 ~ 60 ml·(min·1. 73m2)-1 for group D and 60 ~ 90 mL·(min·1. 73m2)-1 for group E. The relevant data were statistically analyzed by SPSS software. Results: (1) There was a negative correlation between EGFR and HOMA IR (CP) in T2DM patients with CKD (r = - 0.25, P = 0.000). (2) The comparison results between HOMA IR (CP) groups showed that there was significant difference between group A and group B and other groups, and there was significant difference between group C and group D and other groups (P0.05). (3) The pairwise comparison between fasting blood glucose groups showed that there was significant difference between group A and group B (LSD-t = -1.74, P = 0.034). There was significant difference in insulin dosage between group A and other groups (P0.05), and there was significant difference between group D and group E (LSD-t = 0.06, P = 0.005). (4) Logistic analysis of EGFR showed that age, serum creatinine and HOMA IR (CP) were the main influencing factors of EGFR (P0.05). Conclusion: there is a significant negative correlation between EGFR and HOMA IR (CP) in T2DM patients with CKD. In the process of aggravating insulin resistance, EGFR increased more significantly in the two stages of 45 ~ 60 ml·(min·1. 73m2)-1 and 15 ~ 30 ml·(min·1. 73m2)-1