1,419 research outputs found
Numerical Analysis of Internal Flow Field of Multi-Blade Centrifugal Fan for Floor Standing Air-Conditioner
Research on UBI auto insurance pricing model based on parameter adaptive SAPSO optimal fuzzy controller
Aiming at the problem of “dynamic” accurate determination of rates in UBI auto insurance pricing, this paper proposes a UBI auto insurance pricing model based on fuzzy controller and optimizes it with a parameter adaptive SASPO. On the basis of the SASPO algorithm, the movement direction of the particles can be mutated and the direction can be dynamically controlled, the inertia weight value is given by the distance between the particle and the global optimal particle, and the learning factor is calculated according to the change of the fitness value, which realizes the parameter in the running process. Effective self-adjustment. A five-dimensional fuzzy controller is constructed by selecting the monthly driving mileage, the number of violations, and the driving time at night in the UBI auto insurance data. The weights are used to form fuzzy rules, and a variety of algorithms are used to optimize the membership function and fuzzy rules and compare them. The research results show that, compared with other algorithms, the parameter adaptive SAPAO algorithm can calculate more reasonable, accurate and high-quality fuzzy rules and membership functions when processing UBI auto insurance data. The accuracy and robustness of UBI auto insurance rate determination can realize dynamic and accurate determination of UBI auto insurance rates
Research on UBI Auto Insurance Pricing Model Based on Parameter Adaptive SAPSO Optimal Fuzzy Controller
Aiming at the problem of “dynamic” accurate determination of rates in UBI auto insurance pricing, this paper proposes a UBI auto insurance pricing model based on fuzzy controller and optimizes it with a parameter adaptive SASPO. On the basis of the SASPO algorithm, the movement direction of the particles can be mutated and the direction can be dynamically controlled, the inertia weight value is given by the distance between the particle and the global optimal particle, and the learning factor is calculated according to the change of the fitness value, which realizes the parameter in the running process. Effective self-adjustment. A five-dimensional fuzzy controller is constructed by selecting the monthly driving mileage, the number of violations, and the driving time at night in the UBI auto insurance data. The weights are used to form fuzzy rules, and a variety of algorithms are used to optimize the membership function and fuzzy rules and compare them. The research results show that, compared with other algorithms, the parameter adaptive SAPAO algorithm can calculate more reasonable, accurate and high-quality fuzzy rules and membership functions when processing UBI auto insurance data. The accuracy and robustness of UBI auto insurance rate determination can realize dynamic and accurate determination of UBI auto insurance rates
1,25-hydroxyvitamin D relieves colitis in rats via downregulation of toll-like receptor 9 expression
Aim To investigate the therapeutic and immunoregulatory
effects of 1,25-dihydroxyvitamin D (1,25(OH)D3) on 2,4,6-
trinitrobenzenesulfonic acid (TNBS) -induced colitis in rats.
Methods Experimental colitis induced by enema administration
of TNBS plus ethanol was treated with 5-aminosalicylic
acid (5-ASA) and/or 1,25(OH)D3. Disease activity was
measured using the disease activation index (DAI), colon
macroscopic damage index (CMDI), histological colonic
damage score, and myeloperoxidase (MPO) activity. The
expression of toll-like receptor 9 (TLR9) in the colon was
determined by reverse transcription-polymerase chain reaction
and immunohistochemistry.
Results Rats with TNBS-induced colitis had significantly elevated
DAI, CMDI, histological colonic damage score, and
MPO activity (all P < 0.001) compared to rats without colitis.
Treatment with 5-ASA or 1,25(OH)D3 ameliorated colitis
by lowering CMDI (P = 0.049, P = 0.040, respectively), histological
colonic damage score (P = 0.010, P = 0.005, respectively),
and MPO activity (P = 0.0003, P = 0.0013, respectively)
compared with the TNBS group. Combined treatment
with 5-ASA and 1,25(OH)D3 significantly decreased MPO
activity (P = 0.003). 1,25(OH)D3 attenuated colitis without
causing hypercalcemia or renal insufficiency. TNBS significantly
increased the number of TLR9 positive cells compared
to control (P < 0.010), while 5-ASA, 1,25(OH)D3, and
combined treatment with 5-ASA and 1,25(OH)D3 significantly
decreased it compared to TNBS group (all P < 0.010).
In TNBS group a moderate correlation was observed between
MPO activity and the number of TLR9-positive cells
(r = 0.654, P < 0.001).
Conclusion TLR9 expression correlates with the extent of
inflammation in TNBS-induced colitis. 1,25(OH)D3 relieves
this inflammation possibly by decreasing TLR9 expression
2-(Hydroxymethyl)pyridin-3-ol
In the crystal structure of the title compound, C6H7NO2, the molecules are are linked by intermolecular O—H⋯N and O—H⋯O hydrogen bonds; π–π stacking is observed between parallel pyridine rings of adjacent molecules [centroid-to-centroid distance = 3.7649 (12) Å]
Interface induced high temperature superconductivity in single unit-cell FeSe films on SrTiO3
Searching for superconducting materials with high transition temperature (TC)
is one of the most exciting and challenging fields in physics and materials
science. Although superconductivity has been discovered for more than 100
years, the copper oxides are so far the only materials with TC above 77 K, the
liquid nitrogen boiling point. Here we report an interface engineering method
for dramatically raising the TC of superconducting films. We find that one
unit-cell (UC) thick films of FeSe grown on SrTiO3 (STO) substrates by
molecular beam epitaxy (MBE) show signatures of superconducting transition
above 50 K by transport measurement. A superconducting gap as large as 20 meV
of the 1 UC films observed by scanning tunneling microcopy (STM) suggests that
the superconductivity could occur above 77 K. The occurrence of
superconductivity is further supported by the presence of superconducting
vortices under magnetic field. Our work not only demonstrates a powerful way
for finding new superconductors and for raising TC, but also provides a
well-defined platform for systematic study of the mechanism of unconventional
superconductivity by using different superconducting materials and substrates
Spraying performance and deposition characteristics of an improved air-assisted nozzle with induction charging
Electrostatic spraying technology can improve the efficiency of pesticide deposition on the surface of leaves and reduce the environmental pollution caused by pesticide drift, which has an important prospect in agricultural pesticide application. To improve the deposition and penetration of droplets in the crop canopy, we designed and optimized an air-assisted electrostatic nozzle and conducted the spraying performance experiment. Parameters, such as charge-to-mass ratio (CMR) and particle size, were tested and analyzed to obtain the suitable operating parameters of nozzle. The results proved that the improved air-assisted electrostatic nozzle has good atomization and chargeability. There is a good charging effect with a charging voltage of 3,000–5,000 V, the CMR increased 127.8% from 0.86 to 1.97 mC/kg as the charge voltage increases from 1,000 to 4,000 V, at an air pressure of 1.0 bar and liquid flow rate of 200 ml/min. Furthermore, we designed a multi-factor orthogonal experiment, which was conducted using a four-factor, three-level design to investigate the effects of operational parameters and canopy characteristics on droplet deposition and penetration. Analysis of variance (ANOVA) and F-test were performed on the experiment results. The results showed that the factor effect on droplet penetration, in descending order, was as follows: spray distance, leaf area index, air pressure, and air pressure × spray distance. The factor effect on abaxial leaf deposition, in descending order, was as follows: air pressure, spray distance, air pressure × charge voltage, spray distance × charge voltage, and charge voltage. For optimal droplet penetration and abaxial leaf deposition, option A3B1D2 (air pressure 1.5 bar, spray distance 0.2 m, charge voltage 2,500 V) is recommend. The spray nozzle atomization performance and deposition regulation were studied by experimental methods to determine the optimal values of operating parameters to provide a reference for electrostatic spray system development
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