INITIAL RESEARCH ON THE BIOMECHANICAL FEATURES OF THE TRIANGLE FIBROCARTILAGE IN HUMAN WRIST

Fibrocartilage in the wrist joint is a structure common to both distal radioulnar and wrist joint. It works to cache direct pressure between head of ulna and wrist bones and to disperse the load. The structure is susceptive to acute and chronic strain due to the stretch, pressure and shearing during movement. It is significant for further research on physiological function and injury mechanism of the fibrocartilage to obtain the biomechanical parameters and the relevant constitutive equation of it

KINEMATICAL RESEARCH ON 407C OF ELITE CHINESE MALE 3-M SPRINGBOARD DIVERS

INTRODUCTION: Diving is a dominant event of China in the 21th century. This research is to find some common features in kinematical parameters of elite diving athletes and thus to serve athlete training

Optimization Method for the Chiller plant of Central Air-conditioning System Parameters on Association Rules Analysis for Energy Conservation

More than 50% of the total energy consumption of central air-conditioning system is consumed by the central cooling plants. It is crucial to optimize central cooling plants operation parameter settings which is also significant for improving its operating efficiency, reducing the energy consumption, and promoting the overall energy saving of air-conditioning systems. The regular methods of central cooling plants optimization can be divided into three categories: engineering method, mechanism modeling and artificial intelligence modeling. In recent years, with the development of the internet of things, the monitoring and control platform for air-conditioning system provides data mining with mass ground truth data for central cooling plants optimization. Compared with the other methods, the data mining method for optimizing the key operation parameters of central cooling plants takes the advantages of simple, wide applicable and practical. In this paper, the association rule data mining method is proposed to optimize the operation parameters of the whole central cooling plants from the ground truth data. The central cooling plants in a shopping mall in Guangzhou is taken as the case study. Through historical data processing, like data cleaning, selection of optimization parameters, discrete transform of data and so on, the association rules are mined between the optimal energy efficiency Ratio and the running parameters of the central cooling plants under different operating conditions by Apriori algorithm. Finally, from the simulation results, it’s shown that by the association rules, the total energy consumption of the whole central cooling plants under two different working conditions are reduced 13.33% and 11.6% less than by the original operational parameters in the transition season and summer respectively. The simulation results verify the validity of the mining rules. This method excavates the energy saving potential of central cooling plants from the point of view of engineering practice, which is suitable for the central cooling plants which has accumulated a large amount of operation data and provides a reference for the energy-saving optimization operation of central cooling plants

Benefits and Challenges of the Educational Metaverse: Evidence from Quantitative and Qualitative Data

The metaverse, as a more advanced form of virtual reality, has great potential for education because of its unique affordances for enhancing immersion, interaction, and presence. However, because its development is still in its infancy, there are few empirical studies on the application of metaverse in education, with insufficient empirical evidence from the literature regarding its effectiveness and valued design features, as well as its advantages and disadvantages as a technology-enhanced learning environment. Utilizing the case study method, this study designed and implemented a 40-minute psychology course with 31 undergraduate students in the metaverse using the Virbela platform and collected both quantitative and qualitative data to empirically explore the benefits and challenges of the educational metaverse. The quantitative results showed that the students reported good learning experiences in the metaverse, but their learning outcomes were unsatisfactory, just over the passing level. The qualitative results revealed useful design features and common technical challenges of the educational metaverse. Based on the results, several implications for designing and developing effective courses in the educational metaverse were proposed

THE DYNAMIC EXPERIMENTAL STUDY ON ABSORBERS OF THE RECURVE BOW

We measured the frequency and amplitude of a bow’s vibration. By changing the resonance characteristic we hope to optimize the bow for training and competition

PKA modulates GSK-3β- and cdk5-catalyzed phosphorylation of tau in site- and kinase-specific manners

AbstractPhosphorylation of tau protein is regulated by several kinases, especially glycogen synthase kinase 3β (GSK-3β), cyclin-dependent protein kinase 5 (cdk5) and cAMP-dependent protein kinase (PKA). Phosphorylation of tau by PKA primes it for phosphorylation by GSK-3β, but the site-specific modulation of GSK-3β-catalyzed tau phosphorylation by the prephosphorylation has not been well investigated. Here, we found that prephosphorylation by PKA promotes GSK-3β-catalyzed tau phosphorylation at Thr181, Ser199, Ser202, Thr205, Thr217, Thr231, Ser396 and Ser422, but inhibits its phosphorylation at Thr212 and Ser404. In contrast, the prephosphorylation had no significant effect on its subsequent phosphorylation by cdk5 at Thr181, Ser199, Thr205, Thr231 and Ser422; inhibited it at Ser202, Thr212, Thr217 and Ser404; and slightly promoted it at Ser396. These studies reveal the nature of the inter-regulation of tau phosphorylation by the three major tau kinases

Different water and nitrogen level effects on soil microbial properties of spinach

Understanding the interactions of plant soil environment and rhizosphere microbial changes are necessary to develop new strategies for the sustainable agriculture. A field experiment with combination of three water levels and three nitrogen rates was conducted to investigate the effect of water and nitrogen management on the changes of soil microbial properties in non-rhizosphere and rhizosphere soils of spinach. Non-Rhizosphere and rhizosphere microbial diversities were affected by water and nitrogen applications. Evenness index in the no-nitrogen treatment was more than that of 85 and 170 kg ha–1 nitrogen treatments in the non-rhizosphere or rhizosphere soil. Microbial biomass carbon in non-rhizosphere soil or rhizosphere soil decreased with the increase of nitrogen application, but showed the highest value in 16.5% of soil water content, followed by 12.5% and 20.5% of soil water content. Soil microbial biomass phosphorus content of 85 kg ha–1 nitrogen treatment in the non-rhizosphere soil or rhizosphere soil was significantly different for 0 and 170 kg ha–1 nitrogen treatments. Nitrification rate increased with the increase of soil water content in 0 and 170 kg ha–1 treatments. Our results demonstrated that water and nitrogen could impact the soil fertility and microbial activity of spinach