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Because the communication link connection in the Internet of Vehicles is transient and intermittent, the established connection may be disconnected at any time, which cannot meet the requirements of the data transmission of the Internet of Vehicles. Therefore, based on the traditional data transmission mechanism, the fuzzy comprehensive evaluation method is used to achieve the optimal design of the data transmission mechanism of the Internet of Vehicles. First, according to the operation mechanism of the Internet of Vehicles build the Internet of Vehicles model. Then in this model, the fuzzy comprehensive evaluation is used to analyze the data transmission characteristics of the Internet of Vehicles, and the characteristics evaluation results of data transmission are obtained. Finally, set the data transmission protocol of the Internet of Vehicles, select the appropriate data transmission path, allocate the data transmission load, and realize the data transmission of the Internet of Vehicles. The experimental results show that compared with the traditional data transmission mechanism of the Internet of Vehicles, the speed of the designed transmission mechanism is increased by 3.58 MB/s, and the packet loss rate is reduced by 41%.

This study focuses on the Subash Reservoir area in the Aksu Prefecture, Xinjiang, China, employing various data sources, including merged precipitation, rainfall station, digital elevation model, and land-use data. Using the FloodArea model, a refined simulation of typical torrential rain-induced flood processes in the Subash Reservoir is conducted. By analyzing the inundation depth and runoff volume, and the simulation results of two precipitation data sources are compared, and a precipitation- inundation depth relationship model is established, determining critical rainfall thresholds corresponding to the sediment-flushing gate bottom elevation, flood limit water level, spillway gate weir top elevation, and dam crest elevation. The results reveal that the FloodArea model driven by multi-source precipitation fusion data has higher accuracy and closer approximation to the actual values for the inundation depth and calculated runoff volume in the Subash Reservoir than the model driven by rain gauge precipitation data. The error simulation rates for inundation depth of the two kind of data are 8.59% and 18.67%, respectively. The cumulative 4-hour precipitation thresholds for reaching inundation levels corresponding to the sediment-flushing gate bottom elevation, flood limit water level, spillway gate weir top elevation, and dam crest elevation of the Subash Reservoir are 7.1 mm, 20.1 mm, 32.9 mm, and 44.7 mm, respectively. The results provide a theoretical reference for torrential rain-induced early flood warning in the Subash Reservoir region to enhance the capability of early flood warning for such scenarios. [ABSTRACT FROM AUTHOR]

Plasma catalytic CO2 hydrogenation to methanol over MnOx/ZrO2 catalyst was investigated in this work. A boosted methanol yield of 4.6 mg/h was obtained over MnOx/ZrO2 catalyst, while it was only 0.0 and 0.7 mg/h for ZrO2 and MnOx catalyst, respectively. The interaction between MnOx and ZrO2 was responsible for the enhanced methanol yield. It resulted in sufficient oxygen vacancy. The in situ DRIFT spectra was conducted to reveal the plasma catalytic CO2 hydrogenation to methanol reaction mechanism and the key intermediates of HCOO and CH3O species were determined. The sufficient oxygen vacancy promoted the formation of the key intermediates, especially the CH3O species. [ABSTRACT FROM AUTHOR]

Plasma‐induced CO2 hydrogenation process has received much attention, while the related plasma chemistry has not been profoundly explored. Herein, electron‐induced and thermochemical effects on CO2 hydrogenation in a dielectric barrier discharge reactor were investigated. The temperatures for the discharge pattern transition for CO2/H2, CO2/H2/N2, CO2/H2/Ar, and CO2/H2/He mixtures were 623, 623, 600, and 600 K, respectively. CO2 conversion was controlled by electron‐induced reactions and was sensitive to discharge pattern and electron density but not electron energy. In contrast, product formation was governed by the thermo‐induced chemistry. These results are useful for a better understanding of plasma‐induced CO2 hydrogenation. [ABSTRACT FROM AUTHOR]

There is an increasing research interest in the concept and measurement of mental toughness. This study examined the psychometric properties of the 8-item Mental Toughness Inventory (MTI) in two Chinese samples: 503 youth athletes and 513 university students. The unidimensional model of the MTI was confirmed and measurement invariance between males and females was supported in both samples. As expected, mental toughness was positively associated with the three basic psychological needs and effort in the athlete sample, and with life satisfaction in the student sample. Excellent internal consistency reliability was found in both samples, and good test-rest reliability was also demonstrated in the student sample. Collectively, these findings provide further psychometric evidence for the MTI and support the utility of the scale in China., Author(s): Chunxiao Li [sup.1] , Chun-Qing Zhang [sup.2] , Liancheng Zhang [sup.3] Author Affiliations: (Aff1) 0000 0004 1799 6254, grid.419993.f, The Education University of Hong Kong, , Hong Kong SAR, [...]

Oxygenates production from the partial oxidation of liquid fuel is required for a cleaner combustion. The effect of Mn/Fe ratio was investigated to improve the oxygenates formation via plasma catalytic n-C5H12 partial oxidation over FeMn/Al2O3 catalyst. The oxygenates selectivities exhibited a volcano shape with the Mn/Fe ratio and the highest value of 69% was obtained at Mn/Fe ratio of 7/3. The oxygenates selectivities were dominated by both the acidity and active oxygen species of catalyst, which could be tuned by Mn/Fe ratio. A close relationship between oxygenates selectivities, acidity, and active oxygen species of catalyst was established. The higher the active oxygen species content and the lower the acidity, the higher the oxygenates selectivities. [ABSTRACT FROM AUTHOR]

Rotary steering systems are cutting-edge, intelligent oil drilling and steering equipment developed at the end of the twentieth century. The core function of the bit pointing rotary steering system is to control the eccentric shaft with bit pointing function to track the outer drill collar for reverse rotation [1]. When the relative speed thereof is offset, the mandrel tool face remains stationary, and the directive function of the drill bit is realized [2]. Therefore, it is important to precisely control mandrel rotational speed and make it follow the outer drill collar to conduct face-to-face rotation at all times. A double closed loop control method for realizing rotational speed loop and position loop through controlling mandrel rotational speed is proposed in this paper. Relative rotational speed of drill bit shaft (or mandrel) and drill collar of zero can be realized within the shortest time, thereby realizing rapid and precise rotational speed tracking. Relative positions of mandrel and drill collar at several angles on 360° circumferences, thereby proving the feasibility of the method. The method can provide a technical reference and basis for prototype production of directional rotary steering system [3].