Factors Affecting Teacher Performance and Loyalty Of National Training Program in Yunnan, China

Purpose: National Training Programme (NTP) an important initiative to promote teacher development in China. Therefore, this research aims to determine critical factors impacting teacher performance and loyalty in Yunnan, China. The conceptual framework presented cause-and-effect relationships between Leadership (LE), Emotion (EM), Commitment (CO), Knowledge (KN), Climate (CL), Loyalty (LO), and Performance (PE). Research design, data, and methodology: The researcher adopted a quantitative technique (n=500) to administer the questionnaire to primary and secondary school teachers in Yunnan Province, China. A non-probability sampling includes judgmental, quota, and convenience sampling to collect data. Before conducting the large-scale questionnaire, the researcher administered Item-Objective Consistency Index (IOC) and a pilot test to 50 respondents. The researcher applied confirmatory factor analysis (CFA) and structural equation modeling (SEM) to conduct the data analysis, including model fit, reliability, and construct validity. Results: The results show that leadership and emotion significantly impact commitment, teacher performance, and loyalty. Knowledge and climate have a significant impact on teacher performance. Climate strongly impacts teacher performance, followed by commitment and knowledge. Conclusions: This study suggests improving the level of training leadership of training leads by developing targeted measures to optimize resourcing options, spending resources on forming professional communities, and optimizing the proportion of investment

Comparison of Analytical, Numerical and Semi-Analytical Methods for Modeling Matrix Diffusion Effects in Aquitards

The invasion of dissolved chlorinated volatile organic compounds (CVOCs) into low permeability zones can cause contaminant persistence above maximum contaminant levels (MCLs) in adjacent aquifers due to the phenomenon of matrix diffusion. Numerical studies have been conducted to simulate matrix diffusion effects between aquifers and aquitards. However, existing numerical approaches for simulating matrix diffusion of CVOCs require fine discretization of the aquifer and aquitard into tens of layers of grid blocks, resulting in large computational effort. Considering the inefficiency of numerical approaches, a semi-analytical method was developed to only discretize the aquifer and mathematically approximate the diffusive response in the underlying aquitard. The semi-analytical method was originally developed in petroleum reservoir engineering for approximating the conductive heat flux from a permeable reservoir into an underlying impermeable cap rock [Vinsome and Westerveld, 1980]. With some modification, a similar semi-analytical method can be applied directly to the problem of CVOC matrix diffusion. The objective of this study is to implement and test the new semi-analytical method for simulating matrix diffusion effects between an aquifer and an aquitard. This study has three sub-objectives. First of all, grid refinement studies were performed by constructing two simple numerical models for simulating DNAPL pool dissolution in an aquifer with advection and vertical dispersion and matrix diffusion in an aquitard, respectively. The numerical simulations were validated with two simple analytical solutions. The results showed that a grid spacing of ∆x= 1.0 m and ∆z= 0.2 m was fine enough to simulate both cases. Second, a test was performed with the numerical method by comparing a two-layer numerical model with the more complex Dandy-Sale analytical solution (Sale et al., 2008) for 2-D transport in an aquifer with matrix diffusion in an underlying aquitard. In the numerical simulation, the two-layer model was constructed with fine grid spacing of ∆x= 1.0 m and ∆z= 0.15 m. The results showed that numerical solutions were in good quantitative agreement with analytical solutions in Dandy-Sale model. Third, the new semi-analytical method was employed for the problem of CVOC matrix diffusion in the two-layer model and was tested against the more complex Dandy-Sale analytical solutions. The comparison of semi-analytical and analytical results indicated that the semi-analytical method is an accurate approximation of CVOC matrix diffusion effects between an aquifer and an aquitard

An Adaptive GViT for Gas Mixture Identification and Concentration Estimation

Estimating the composition and concentration of ambient gases is crucial for industrial gas safety. Even though other researchers have proposed some gas identification and con-centration estimation algorithms, these algorithms still suffer from severe flaws, particularly in fulfilling industry demands. One example is that the lengths of data collected in an industrial setting tend to vary. The conventional algorithm, yet, cannot be used to analyze the variant-length data effectively. Trimming the data will preserve only steady-state values, inevitably leading to the loss of vital information. The gas identification and concentration estimation model called GCN-ViT(GViT) is proposed in this paper; we view the sensor data to be a one-way chain that has only been downscaled to retain the majority of the original in-formation. The GViT model can directly utilize sensor ar-rays' variable-length real-time signal data as input. We validated the above model on a dataset of 12-hour uninterrupted monitoring of two randomly varying gas mixtures, CO-ethylene and methane-ethylene. The accuracy of gas identification can reach 97.61%, R2 of the pure gas concentration estimation is above 99.5% on average, and R2 of the mixed gas concentration estimation is above 95% on average

General enumeration of RNA secondary structures based on new arc representation

We have presented a new arc representation, which differentiates the Watson-Crick base pairs between AU and GC. Based on the new representation, this paper also computes the number of various types of constrained secondary structures taking the minimum stack length 1 and minimum size m for each bonding loop as two parameters by virtue of the technique of generating function. Furthermore, asymptotes are derived from these recurrences relations, which are the generalizations of previous results.Keywords: RNA secondary structure, recurrence relation, generating function, asymptotic enumerationAfrican Journal of Biotechnology Vol. 12(14), pp. 1576-158