KINEMATICAL ANALYSIS OF DISMOUNT OF STRAIGHT BACK SOMERSAULT WITH A TURN OF 900° : A CASE STUDY

The techniques of dismount of straight back somersault with a turn of 900° performed by Tan Sixin (winner of all-round of China's gymnastics championships in 2011) and Jiang Yuyuan(winner of champion of the balance beam of World University Games in 2009) was filmed using 3-D camera method. The kinematics data were collected and analyzed by motion performance analysis system. The conclusions came out that overall execution of Tan Sixin was good, while the action of Jiang Yuyuan needed to be improved. The results of the analysis will provide a theoretical basis of balance beam training for athletics and trainer

Parasocial Interactions in Otome Games: Emotional Engagement and Parasocial Intimacy Among Chinese Female Players

This study conducts qualitative research on female players of otome games, exploring the mechanisms of romantic relationship formation within these games and their impact on perceptions of real-life intimate relationships. The findings reveal that the parasocial romantic relationships formed in otome games are not entirely detached from reality; instead, they are embedded in daily life through game interaction mechanisms and the players' internalized imagination, thereby influencing the reconstruction of real-life intimate relationships. Female players show a high degree of acceptance and immersion in these romantic relationships, focusing on the emotional support provided by male characters. These relationships play a positive role in fulfilling emotional needs, regulating negative emotions, constructing self-identity, and redefining perceptions of intimacy. The intangibility of physical contact remains the only significant shortcoming, as perceived by a minority of players, pointing to a primary direction for the future development of otome games

Financial Performance Evaluation of Leading Fisheries Enterprises Based on Entropy-Weighted TOPSIS Method

Fishery is a strategic and fundamental core industry in China. Since the 18th National Congress of the Communist Party of China, the central government has attached great importance to the fishery industry and has issued a series of policies to promote its revitalization and vigorous development. In the favorable policy environment, it is crucial for leading fisheries enterprises to pay attention to financial performance evaluation and strive to improve their own operational efficiency. In this study, we selected seven leading fisheries enterprises as research subjects and used the entropy-weighted TOPSIS method to construct a financial performance evaluation system from four dimensions: debt-paying ability, operational capability, profitability, and development potential. We then conducted performance evaluations on the seven sample companies. The research findings indicate that enterprises should focus on their development capabilities to improve their potential for sustained development, enhance the operational efficiency of fisheries enterprises, and promote their continuous and healthy growth

Research on the Joint Construction of a National Multi-source and Multi-resolution image Checkpoint Database

In the process of quality inspection of Remote sensing image data results, the reuse of spatial location information of multiple units, multiple projects and multiple sources can not only overcome the problems of long time to obtain control information, high cost and difficulty in obtaining some areas, but also the basis for achieving efficient and high-precision geometric correction. From the perspective of reusability of checkpoints and saving the cost of quality inspection of remote sensing images, this paper discusses the necessity of joint construction of multi-source and multi-resolution image checkpoint database. And put forward the construction principle and management objectives of checkpoint database. At last, this paper briefly introduces and prospects the application of the national multi-source and multi-resolution image checkpoint database

Nanocomposites of Carbon Nanotube (CNTs)/CuO with High Sensitivity to Organic Volatiles at Room Temperature

AbstractIn order to enhance the sensitivity of carbon nanotube based chemical sensors at room temperature operation, CNTs/CuO nanocomposite was prepared under hydrothermal reaction condition. The resulted-product was characterized with TEM (transmission electron microscopy), XRD (X-ray diffraction) and so on. A chemical prototype sensor was constructed based on CNTs/CuO nanocomposite and an interdigital electrode on flexible polymer substrate. The gas-sensing behavior of the sensor to some typical organic volatiles was investigated at room temperature operation. The results indicated that the carbon nanotube was dispersed well in CuO matrix, the CuO was uniformly coated on the surface of carbon nanotube, and the tubular structure of carbon nanotube was clearly observed. From morphology of TEM images, it can also be observed that a good interfacial adhesion between CNT and CuO matrix was formed, which maybe due to the results of strong interaction between CNTs with carboxyl groups and CuO containing some hydroxy groups. The CNTs/CuO nanocomposite showed dramatically enhanced sensitivity to some typical organic volatiles. This study would provide a simple, low-cost and general approach to functionalize the carbon nanotube. It is also in favor of developing chemical sensors with high sensitivity or catalysts with high activity to organic volatiles at low temperature

Electrospinning-Driven Binary Oxide Nanofiber Networks with Tunable Amorphous Microstructure for Booming Transistors and Circuits Operation

Funding Information: This work was financially supported by the National Natural Science Foundation of China (Grant Nos. 11774001 and 52202156). The authors also acknowledge the support from Anhui Project (No.Z010118169), and the Open Fund Project of Zhejiang Engineering Research Center of MEMS in Shaoxing University (MEMSZJERC2202). Publisher Copyright: © 2023 The Authors. Advanced Electronic Materials published by Wiley-VCH GmbH.Although In2O3 nanofibers (NFs) are regarded as one of the active channel materials for next-generation, low-cost thin-film transistors (TFTs), these NFs-based devices still suffer from the degraded carrier mobility and operational instability, limiting the ability of such devices to replace current polycrystalline silicon technologies. Here, it is shown that nanofiber channel transistors with high electron mobility and operational stability can be achieved by selectively doping Zn element into electrospun In2O3 NFs. By precisely manipulating the doping level during NFs fabrication, their crystallinity, surface morphology, and corresponding device performance can be regulated reliably for enhanced transistor performances. It has been detected that InZnO/SiO2 TFTs with an optimized Zn doping concentration of 50% have demonstrated the high field-effect mobility (µFE) of 6.38 cm2 V−1 s−1, the larger ION/IOFF of 4.12 × 107 and operation in the energy-efficient enhancement-mode. Low frequency noise (LFN) measurements have displayed that the scattering and defects inside the NFs are effectively suppressed by the particular microstructure. When integrating ALD-derived Al2O3 films as the gate dielectric into TFTs devices, their electron mobility and ION/IOFF can be further improved to 37.82 cm2 V−1 s−1 and 2.92 × 108, respectively. To demonstrate the potential toward more complex logic applications, a low voltage resistor-loaded unipolar inverter is built by using InZnO/Al2O3 TFT, exhibiting a high gain of 20.95 and full swing characteristics. These optimized parameters have demonstrated the significant advance of this electrospinning technique toward practical applications for high performance and large-scale electronics.publishersversionpublishe

Fly Ash Coated With Alumina Sol For Improving Strength And Thermal Insulation Of Mullite Porous Ceramics

The manufacturing of mullite porous ceramics with high strength and low thermal conductivity was achieved through foam gel-casting processes using fly ash coated with alumina sol layers. This research aimed to investigate the effect of alumina sol concentration on foaming slurry rheology, as well as the influence of alumina sol coating layers on the microstructure, phase compositions and properties of the resulting mullite porous ceramics. Increasing the alumina sol concentration from 5 to 20 wt% improved both the viscosity and thixotropy of the foaming slurries while enhanced the shear thinning behavior. Porous ceramics prepared with fly ash coated with alumina sol exhibited smaller pore size compared to the untreated fly ash porous ceramics. Moreover, the distribution of pores gradually became more homogenous in the porous ceramics with treated fly ash. Meanwhile, the weight-reduction, compressive strength and thermal insulation properties of the porous ceramics were improved significantly. The use of fly ash coated with alumina sol (with a concentration of 20 wt%) in the preparation of porous ceramics resulted in the formation of mullite whiskers within the pore walls. This created micron-size gaps between the whiskers, greatly enhancing the thermal insulation of the porous ceramics. Finally, the porous ceramics that were prepared using fly ash coated with alumina sol (with a concentration of 20 wt%) and sintered at a temperature of 1400 °C had a bulk density of 0.45 g/cm3, a compressive strength of 8 MPa, and a thermal conductivity of 0.15 W/m·k

Attribution analysis and forecast of salinity intrusion in the Modaomen estuary of the Pearl River Delta

Under the influence of climate change and human activities, the intensification of salinity intrusion in the Modaomen (MDM) estuary poses a significant threat to the water supply security of the Greater Bay Area of Guangdong, Hong Kong, and Macao. Based on the daily exceedance time data from six stations in the MDM waterway for the years 2016-2020, this study conducted Empirical Orthogonal Function (EOF) and decision tree analyses with runoff, maximum tidal range, and wind. It investigated the variation characteristics and key factors influencing salinity intrusion. Additionally, Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNN) were employed to predict the severity of salinity intrusion. The results indicated that: (1) the first mode (PC1) obtained from EOF decomposition explained 89% of the variation in daily chlorine exceedance time, effectively reflecting the temporal changes in salinity intrusion; (2) the largest contributor to salinity intrusion was runoff (40%), followed by maximum tidal range, wind speed, and wind direction, contributing 25%, 20%, and 15%, respectively. Salinity intrusion lagged behind runoff by 1-day, tidal range by 3 days, and wind by 2 days; North Pacific Index (NPI) has the strongest positive correlation with saltwater intrusion among the 9 atmospheric circulation factors. (3) LSTM achieved the highest accuracy with an R2 of 0.89 for a horizon of 1 day. For horizons of 2 days and 3 days, CNN exhibited the highest accuracy with R2 values of 0.73 and 0.68, respectively. This study provides theoretical support for basin scheduling and salinity intrusion prediction and serves as a reference for ensuring water supply security in coastal areas

Beamforming Optimization for Active Intelligent Reflecting Surface-Aided SWIPT

In this paper, we study an active IRS-aided simultaneous wireless information and power transfer (SWIPT) system. Specifically, an active IRS is deployed to assist a multi-antenna access point (AP) to convey information and energy simultaneously to multiple single-antenna information users (IUs) and energy users (EUs). Two joint transmit and reflect beamforming optimization problems are investigated with different practical objectives. The first problem maximizes the weighted sum-power harvested by the EUs subject to individual signal-to-interference-plus-noise ratio (SINR) constraints at the IUs, while the second problem maximizes the weighted sum-rate of the IUs subject to individual energy harvesting (EH) constraints at the EUs. The optimization problems are non-convex and difficult to solve optimally. To tackle these two problems, we first rigorously prove that dedicated energy beams are not required for their corresponding semidefinite relaxation (SDR) reformulations and the SDR is tight for the first problem, thus greatly simplifying the AP precoding design. Then, by capitalizing on the techniques of alternating optimization (AO), SDR, and successive convex approximation (SCA), computationally efficient algorithms are developed to obtain suboptimal solutions of the resulting optimization problems. Simulation results demonstrate that, given the same total system power budget, significant performance gains in terms of operating range of wireless power transfer (WPT), total harvested energy, as well as achievable rate can be obtained by our proposed designs over benchmark schemes (especially the one adopting a passive IRS). Moreover, it is advisable to deploy an active IRS in the proximity of the users for the effective operation of WPT/SWIPT.Comment: 32 pages, 10 figures, submitted to IEEE journal for possible publicatio