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At present, the mixing oil will be produced in the sequential transportation of various refined oil inescapable. The mixing oil is not qualified product which is needed to be dealt with. The Volume of mixing oil is less the better. How to reduce the volume of mixing oil in the transportation of product oil is the key to reduce the cost and improve pipeline efficiency. This paper discusses the cause and mechanism of mixed oil in refined products and the characteristics of mixed oil in mountain pipelines. Then, it is providing a calculation method of mixed oil quantity, and a detecting method of mixed oil section, and a treatment method after receiving mixed oil.

Light has been demonstrated to influence transient mood states in healthy populations and can be used as a treatment for clinical mood disorders. However, it is still interesting to know whether stimulus with relatively low light levels can moderate the transient mood state of people with depressive tendencies, and what are the effects respectively from light levels and light color. In this study, 10 subjects with depressive tendencies were recruited and screened to receive a typical lighting intervention, including five crossover conditions with the 300 l×-isoluminance groups (red, 6500 K-white, blue) and 6500 K-isospectral groups (50 lx, 300 lx, and 1500 lx). Negative cognitive bias, high-frequency heart rate variability, and subjective emotion were measured at different stages during the lighting intervention. Statistical results demonstrated that the lighting condition of 1500 lx-6500 K was associated with a transient positive mood state (p < 0.001) and had a significant positive moderating effect on the negative cognitive biases compared with the other groups (p =.017). Colored lights are more likely to trigger negative emotions and negative cognitive biases. [ABSTRACT FROM AUTHOR]

According to the requirements of Al foil surface modification, the surface of Al foil is baked, corona and coated with carbon, and 6 Ah pouch type lithium iron batteries is made. The effects of surface modification methods on the performance of Al foil, electrode plate and battery are evaluated through the tests of Al foil surface roughness, electrode plate rolling adhesion, electrochemical impedance, storage, cycle, etc. The results show that the surface roughness of Al foil is increased by 41% after corona, and the adhesion of the electrode sheet is thus increased by 3.166 times as much as that of the base foil. After corona and carbon coating treatment, the impedance of the battery is reduced by one capacitance arc between the aluminum foil and the active substance. The alter-nating current resistance(ACR) of the battery is reduced to 5.59 mΩ, and the consistency of the internal resistance of the battery is improved. Corona and carbon coating can improve the high current discharge performance of the battery, reduce polarization, and improve the discharge platform, but carbon coating is more significant than corona. At the same time, the coated carbon significantly improves the high temperature cycle. [ABSTRACT FROM AUTHOR]

Microwave absorbers that are lightweight and have good stability and high efficiency have attracted much attention for their applications in many contemporary fields. In this work, a 3D porous (Ni@NO-C)n/NO-C composite absorber was prepared using a wet chemistry method with Ni chains and melamine as precursors, in which NO-C (N,O-doped carbon)-encapsulated Ni particles are homogenously dispersed in the 3D porous networks of NO-C in the form of (Ni@NO-C)n chains. The special microstructure of the as-prepared material is proven to be beneficial for the improvement of its microwave absorption performance. The as-synthesized (Ni@NO-C)n/NO-C composite absorber exhibited an effective absorption bandwidth of 4.1 GHz and an extremely large reflection loss of −72.3 dB. The excellent microwave-absorbing performances can be ascribed to the cooperative consequences of dielectric loss and magnetic loss, along with the balance between attenuation capability and impedance matching. [ABSTRACT FROM AUTHOR]

Realizing the high-precision monitoring of wheat stripe rust over a large area is of great significance in ensuring the safety of wheat production. Existing studies have mostly focused on the fusion of multi-source data and the construction of key monitoring features to improve the accuracy of disease monitoring, with less consideration for the regional distribution characteristics of the disease. In this study, based on the occurrence and spatial distribution patterns of wheat stripe rust in the experimental area, we constructed a multi-source monitoring feature set, then utilized geographical detectors for feature selection that integrates the spatial-distribution differences of the disease. The research results show that the optimal monitoring feature set selected by the geographical detectors has a higher monitoring accuracy. Based on the Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Support Vector (SVM) models, the disease monitoring results demonstrate that the monitoring feature set constructed in this study has an overall accuracy in its disease monitoring that is 3.2%, 2.7%, and 4.3% higher, respectively, than that of the ReliefF method, with Kappa coefficient higher by 0.064, 0.044, and 0.087, respectively. Furthermore, the optimal monitoring feature set obtained by the geographical detectors method exhibits a higher stability, and the spatial distribution of wheat stripe rust in the monitoring results generated by the different models demonstrates good consistency. In contrast, the features selected by the ReliefF method exhibit significant spatial-distribution differences in the wheat stripe rust among the different monitoring results, indicating poor stability and consistency. Overall, incorporating information on disease spatial-distribution differences in stripe-rust monitoring can improve the accuracy and stability of disease monitoring, and it can provide data and methodological support for regional stripe-rust detection and accurate preventions. [ABSTRACT FROM AUTHOR]

With the hasten development of the new energy industry, the recycle of power and energy storage lithium-ion batteries began to be gradually valued. In order to ensure the cleanliness and environmental protection of the whole life cycle of lithium-ion batteries, the feasibility of recycling the positive and negative core materials in lithium-ion batteries needs to be further evaluated, so as to achieve the closed loop of the new energy industry chain with lithium-ion batteries as the core. The properties of a recycled LiFePO4 cathode material are verified, and the effect of changes in physical and chemical indexes of the material on the processing performance and the impact of the electrical performance after processing into a battery are evaluated. The results show that the main physical properties of recycled LiFePO4 obtained by physical drying method can meet the requirements of battery manufacturing grade. ICP test results show that the Al content is high, magnetic impurities, gram capacity and recovery powder particle size distribution and other physical and chemical indicators are not significantly abnormal, but there is still a large room for improvement, by following the process processing performance of the recovery of LiFePO4, the direct current resistance of the pole is fluctuates. The results of charge storage at room temperature test show that the capacity retention rate of the cell after 28 days has reached more than 92%, recovery rate more than 93%, which meets the requirements of the national standard, indicating that the necessary demagnetization operation to increase the powder and slurry plays a certain role in reducing the risk of self-discharge of the final finished battery. The cell cycle test results show that the capacity retention rate of 0.2 C for 100 cycles is more than 95%, which is comparable to the normal LiFePO4 processing of the cell cycle performance level. [ABSTRACT FROM AUTHOR]