Joint Optimization Strategy for Video Transmission over Distributed Cognitive Radio Networks

A novel joint optimization strategy for the secondary user( SU) was proposed to consider the short-term and long-term video transmissions over distributed cognitive radio networks( DCRNs).Since the long-term video transmission consisted of a series of shortterm transmissions, the optimization problem in the video transmission was a composite optimization process. Firstly,considering some factors like primary user's( PU's) collision limitations,non-synchronization between SU and PU,and SU's limited buffer size, the short-term optimization problem was formulated as a mixed integer non-linear program( MINLP) to minimize the block probability of video packets. Secondly,combining the minimum packet block probability obtained in shortterm optimization and SU's constraint on hardware complexity,the partially observable Markov decision process( POMDP) framework was proposed to learn PU's statistic information over DCRNs.Moreover,based on the proposed framework,joint optimization strategy was designed to obtain the minimum packet loss rate in long-term video transmission. Numerical simulation results were provided to demonstrate validity of our strategies.

Three-Biomarker Joint Strategy for Early and Accurate Diagnosis of Acute Myocardial Infarction via a Multiplex Electrochemiluminescence Immunoarray Coupled with Robust Machine Learning

Acute myocardial infarction(AMI)represents a leading cause of death globally.Key to AMI recovery is timely diagnosis and initiation of treatment,ideally within 3 h of symptom onset.Cardiac troponin T(cTnT)is the gold standard yet a low cTnT result cannot rule out AMI at early times.Here,we develop a three-biomarker joint strategy for early and accurate diagnosis of AMI via an electrochemiluminescence(ECL)immunoarray coupled with robust machine learning.The ECL immunoarray is based on an array microchip with a singleelectrode and chemiluminescent immuno-Gold(ciGold)nanoassemblies.The ciGold immunoarray was obtained by successively assembling nanocomposites of Cu^(2+)/cysteine complexes and N-(aminobutyl)-N-(ethylisoluminol)bifunctionalized gold nanoparticles combined with chitosan and antibody conjugated gold nanoparticles on the surface of a microchip.Three biomarkers,including cardiac troponin I,heart type fatty acid binding protein,and copeptin,were simultaneously detected in 260 serum samples from patients presenting with chest pain by an innovative multiplexed ECL immunoarray,and classified via the three-biomarker joint assessment model using support vector machines.The model achieved perfect discrimination(100%sensitivity and specificity)for AMI vs non-AMI patients,substantially higher than cTnT alone.Within 12 h of symptom onset,high-sensitivity cardiac troponin T(hs-cTnT)misclassified>20%of patients,while the joint biomarker assessment model retained perfect accuracy.As the time between symptom onset and testing became shorter,the degree to which the joint assessment model outperformed hs-cTnT increased.The proposed threebiomarker joint strategy is obviously superior to hs-cTnT for early and accurate diagnosis of AMI,hopefully reducing AMI mortality and saving limited medical resources.

Prospects for measuring dark energy with 21 cm intensity mapping experiments:A joint survey strategy

The 21 cm intensity mapping(IM)technique provides us with an efficient way to observe the cosmic large-scale structure(LSS).From the LSS data,one can use the baryon acoustic oscillation and redshift space distortion to trace the expansion and growth history of the universe,and thus measure the dark energy parameters.In this paper,we make a forecast for cosmological parameter estimation with the synergy of three 21 cm IM experiments.Specifically,we adopt a novel joint survey strategy,FAST(0<z<0.35)+SKA1-MID(0.35<z<0.8)+HIRAX(0.8<z<2.5),to measure dark energy.We simulate the 21 cm IM observations under the assumption of excellent foreground removal.We find that the synergy of three experiments could place quite tight constraints on cosmological parameters.For example,it providesσ(?m)=0.0039 andσ(H0)=0.27 km s^(-1) Mpc^(-1) in theΛCDM model.Notably,the synergy could break the cosmological parameter degeneracies when constraining the dynamical dark energy models.Concretely,the joint observation offersσ(w)=0.019 in the wCDM model,andσ(w0)=0.085 andσ(wa)=0.32 in the w0waCDM model.These results are better than or equal to those given by CMB+BAO+SN.In addition,when the foreground removal efficiency is relatively low,the strategy still performs well.Therefore,the 21 cm IM joint survey strategy is promising and worth pursuing.