Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications. The study presents a new method to predict crash likelihood with...Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications. The study presents a new method to predict crash likelihood with traffic data collected by discrete loop detectors as well as the web-crawl weather data. Matched case-control method and support vector machines （SVMs） technique were employed to identify the risk status. The adaptive synthetic over-sampling technique was applied to solve the imbalanced dataset issues. Random forest technique was applied to select the contributing factors and avoid the over-fitting issues. The results indicate that the SVMs classifier could successfully classify 76.32% of the crashes on the test dataset and 87.52% of the crashes on the overall dataset, which were relatively satisfactory compared with the results of the previous studies. Compared with the SVMs classifier without the data, the SVMs classifier with the web-crawl weather data increased the crash prediction accuracy by 1.32% and decreased the false alarm rate by 1.72%, showing the potential value of the massive web weather data. Mean impact value method was employed to evaluate the variable effects, and the results are identical with the results of most of previous studies. The emerging technique based on the discrete traffic data and web weather data proves to be more applicable on real- time safety management on freeways.展开更多
To study the cell proliferation and wound healing activity of polysaccharides from Ganoderma amboinense(GAMPS),the polysaccharide was extracted by water extraction and alcohol precipitation method,and its monosacchari...To study the cell proliferation and wound healing activity of polysaccharides from Ganoderma amboinense(GAMPS),the polysaccharide was extracted by water extraction and alcohol precipitation method,and its monosaccharide composition and molecular weight were analyzed.The effects of different concentrations of GAMPS on the cell proliferation were determined by cell survival rate test,and the wound healing ability of GAMPS to NIH/3T3 cells was detected.The preliminary evaluation of the antioxidant ability of GAMPS was conducted by the oxygen radical absorbance capacity(ORAC).The results showed that the GAMPS was composed of glucose,mannose,and galactose at a molar ratio of 67.62:14.07:7.50,and the weightaverage molecular weights were 5.439×10^(6) and 1.704×10^(5) g/mol by using high-performance gel-permeation chromatography-multiple angle laser scatter(HPGPC-MALS)analysis.GAMPS(0.2μg/μL)showed the strongest proliferation ability to THP-1 cells,with cell survival rate of 178.7%.The wound healing effect of GAMPS(0.1μg/μL)was obvious on NIH/3T3 and 3.75μg/μL of GAMPS showed the strongest total antioxidant ability.All the results indicate that GAMPS promotes cell proliferation,and has cell wound healing effect and strong antioxidant activity.The results provide theoretical foundation for the development and utilization of GAMPS.展开更多
High fidelity two-qubit gates are fundamental for scaling up the superconducting qubit number.We use two qubits coupled via a frequency-tunable coupler which can adjust the coupling strength,and demonstrate the CZ gat...High fidelity two-qubit gates are fundamental for scaling up the superconducting qubit number.We use two qubits coupled via a frequency-tunable coupler which can adjust the coupling strength,and demonstrate the CZ gate using two different schemes,adiabatic and diabatic methods.The Clifford based randomized benchmarking(RB) method is used to assess and optimize the CZ gate fidelity.The fidelities of adiabatic and diabatic CZ gates are 99.53(8)% and 98.72(2)%,respectively.We also analyze the errors induced by the decoherence.Comparing to 30 ns duration time of adiabatic CZ gate,the duration time of diabatic CZ gate is 19 ns,revealing lower incoherence error rate r’_(incoherent),int=0.0197(5) compared to r_(incoherent,int)=0.0223(3).展开更多
基金supported by the National Natural Science Foundation (71301119)the Shanghai Natural Science Foundation (12ZR1434100)
文摘Recent advances in intelligent transportation system allow traffic safety studies to extend from historic data-based analyses to real-time applications. The study presents a new method to predict crash likelihood with traffic data collected by discrete loop detectors as well as the web-crawl weather data. Matched case-control method and support vector machines （SVMs） technique were employed to identify the risk status. The adaptive synthetic over-sampling technique was applied to solve the imbalanced dataset issues. Random forest technique was applied to select the contributing factors and avoid the over-fitting issues. The results indicate that the SVMs classifier could successfully classify 76.32% of the crashes on the test dataset and 87.52% of the crashes on the overall dataset, which were relatively satisfactory compared with the results of the previous studies. Compared with the SVMs classifier without the data, the SVMs classifier with the web-crawl weather data increased the crash prediction accuracy by 1.32% and decreased the false alarm rate by 1.72%, showing the potential value of the massive web weather data. Mean impact value method was employed to evaluate the variable effects, and the results are identical with the results of most of previous studies. The emerging technique based on the discrete traffic data and web weather data proves to be more applicable on real- time safety management on freeways.
基金This research was supported by the National Key Research and Development Program of China(2017YFC1601400)Shandong Provincial Key Research and Development Program(2019GHZ022)+1 种基金Taishan Scholar Program of Shandong Province(tsqn201909168)“Double Hundred”Program for Foreign Experts of Shandong Province(WST2017004).
文摘To study the cell proliferation and wound healing activity of polysaccharides from Ganoderma amboinense(GAMPS),the polysaccharide was extracted by water extraction and alcohol precipitation method,and its monosaccharide composition and molecular weight were analyzed.The effects of different concentrations of GAMPS on the cell proliferation were determined by cell survival rate test,and the wound healing ability of GAMPS to NIH/3T3 cells was detected.The preliminary evaluation of the antioxidant ability of GAMPS was conducted by the oxygen radical absorbance capacity(ORAC).The results showed that the GAMPS was composed of glucose,mannose,and galactose at a molar ratio of 67.62:14.07:7.50,and the weightaverage molecular weights were 5.439×10^(6) and 1.704×10^(5) g/mol by using high-performance gel-permeation chromatography-multiple angle laser scatter(HPGPC-MALS)analysis.GAMPS(0.2μg/μL)showed the strongest proliferation ability to THP-1 cells,with cell survival rate of 178.7%.The wound healing effect of GAMPS(0.1μg/μL)was obvious on NIH/3T3 and 3.75μg/μL of GAMPS showed the strongest total antioxidant ability.All the results indicate that GAMPS promotes cell proliferation,and has cell wound healing effect and strong antioxidant activity.The results provide theoretical foundation for the development and utilization of GAMPS.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11890704,12004042,and 11674376)the Natural Science Foundation of Beijing,China(Grant No.Z190012)+1 种基金the National Key Research and Development Program of China(Grant No.2016YFA0301800)the Key-Area Research and Development Program of Guang-Dong Province,China(Grant No.2018B030326001)。
文摘High fidelity two-qubit gates are fundamental for scaling up the superconducting qubit number.We use two qubits coupled via a frequency-tunable coupler which can adjust the coupling strength,and demonstrate the CZ gate using two different schemes,adiabatic and diabatic methods.The Clifford based randomized benchmarking(RB) method is used to assess and optimize the CZ gate fidelity.The fidelities of adiabatic and diabatic CZ gates are 99.53(8)% and 98.72(2)%,respectively.We also analyze the errors induced by the decoherence.Comparing to 30 ns duration time of adiabatic CZ gate,the duration time of diabatic CZ gate is 19 ns,revealing lower incoherence error rate r’_(incoherent),int=0.0197(5) compared to r_(incoherent,int)=0.0223(3).
