The History of Language Planning and Reform in China: A Critical Perspective

In traditional studies of language policy in China, scholars mainly try to evaluate language policy’s effectiveness in attaining goals such as national unity, economic development, and illiteracy reduction. Few people question the underlying framework of such language planning. This paper tries to call into question those basic assumptions. By adopting a critical theory perspective, this paper tries to locate the origin of the current language policy in China in its historical context and argues that the foundation for current Chinese language policy can be tracked back to colonialism: the framework of the current language policy is based on a Eurocentric model as part of a broader project of governmentality and the current simplified Chinese script is partially a colonial invention

Optimization of one-dimensional wire cutting with variable length based on genetic ant colony algorithm

This paper presents an algorithm of one-dimensional wire cutting based on genetic algorithm and ant colony algorithm. Firstly, the dominant solution is screened out by genetic algorithm and transformed into the initial accumulation of pheromone in ant colony algorithm, and then the ant colony algorithm is used to adjust the dominant solution of genetic algorithm to obtain the approximate optimal solution. The experimental results show that the convergence rate of the fusion algorithm is faster than that of the ant colony algorithm, and the utilization rate of raw materials is higher than that of genetic algorithm. In addition, the optimal parameters are obtained by adjusting the experimental parameters of the fusion algorithm

Evolutionary computation with multi-variates hybrid multi-order fuzzy time series for stock forecasting

Financial time series forecasting has attracted substantial attention among data mining community for many years. However, achieving a reasonable accuracy in forecasting is a difficult task and extremely challenging for the researchers. Investors often use technical indicators to analyze stock market tendency and make decisions. In this paper, a new method called RPRS for stock forecasting is presented based on combing multi-variates hybrid multi-order fuzzy time series with the genetic algorithm. In our approach, technical indicators such as ROC, PSY, RSI and STOD are used as the dependent variables to improve performance. RPRS applies hybrid multi-order fuzzy time series (1-order, 2-order and 3-order) to forecast future stock prices and uses the genetic algorithm to search for a good domain partition. In order to evaluate the performance of RPRS, univariate fuzzy time series models and three classic fuzzy time series models are selected for comparison based on TAIEX, HSI and NASDAQ data. Experiment results show that RPRS performs better than other models

Gly-Leu instead of Gly promoted the proliferation and protein synthesis of chicken intestinal epithelial cells

Amino acids have positive regulatory effects on the function of intestinal epithelial cells (IEC), but in the field of animal nutrition, research on the regulatory effects of amino acids on IEC is still in the initial stages. This study aims to explore the effects of Gly, Gly-Gly, and Gly-Leu on IEC proliferation and their possible mechanisms. Chicken small intestinal epithelial cells were separated using the tissue block method, and other miscellaneous cells were removed for digestion and passage culture. The IEC were cultured in the medium containing 20 nmol/l Gly, Gly-Gly and Gly-Leu for 24 h, and the expression of enterokinase and cytokeratin in cells, the growth curve and activity of IEC, cell cycle, differentially expressed genes, mRNA expression, and protein expression levels of p-mTOR and p-S6K1 in IEC were detected. Enterokinase and cytokeratin were expressed specifically in IEC. The results of growth curve and MTT revealed that the cell viability of IEC was significantly increased after treatment with Gly, Gly-Gly and Gly-Leu. The cell cycle results showed that compared with the control group, Gly, Gly-Gly and Gly-Leu intervention could increase the proportion of IEC in G1 phase, and the proportion in S phase of IEC was decreased. Transcriptome sequencing showed that compared with the control group, there were 54, 28 and 30 differential genes in Gly group, Gly-Gly group and Gly-Leu group, respectively. These genes were mainly enriched in nitric oxide synthesis and protein kinase B signalling, PI3K signal and cellular amino acid biosynthesis and transport signal pathways. RT-PCR results showed that the mRNA expression levels of PCYT2, SPP1, EMC6, GRIA2 and PKD2 were consistent with the sequencing results. Western blot results showed that compared with the control group, the protein expression of p-mTOR and p-S6K1 in Gly group, Gly-Gly group and Gly-Leu group was significantly increased. Gly-Leu can promote the protein synthesis in IEC by activating protein synthesis of mTOR signalling pathway in chicken IEC

Breeding value estimate based on support vector machine

Conference Name:2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012. Conference Address: Hangzhou, China. Time:October 28, 2012 - October 29, 2012.Breeding value is the sum of additive effects of all the genes, which has important effect on breeding. Statistical methods are often used traditionally to estimate breeding value. This paper uses support vector regression machine to estimate breeding value, and two feature-selection methods are developed to preprocess the data. The proposed algorithm is compared with statistical methods in other literatures, its performance is verified. 漏 2012 IEEE

Comparison of the Effects of Continuous Subcutaneous Insulin Infusion and Add-On Therapy with Sitagliptin in Patients with Newly Diagnosed Type 2 Diabetes Mellitus

To identify a new regimen to optimize treatment for patients with newly diagnosed type 2 diabetes (T2DM) by short-term continuous subcutaneous insulin infusion (CSII) alone. Methods. 60 patients with newly diagnosed T2DM were randomized into two groups (n=30 each) and treated for 2 weeks with CSII alone (CSII group) or with CSII plus sitagliptin (CSII + Sig group). The glycemic variability of the patients was measured using a continuous glucose monitoring system (CGMS) for the last 72 hours. A standard meal test was performed before and after the interventions, and the levels of glycated albumin, fasting glucose, fasting C-peptide, postprandial 2 h blood glucose, and postprandial 2 h C-peptide were examined. Results. Compared with the CSII group, the indicators of glycemic variability, such as the mean amplitude of glycemic excursion (MAGE) and the standard deviation of blood glucose (SDBG), were decreased significantly in the CSII + Sig group. The changes before and after treatment in the C-peptide reactivity index (ΔCPI) and the secretory unit of islet in transplantation index (ΔSUIT) indicated a significant improvement in the CSII + Sig group. Conclusions. Add-on therapy with sitagliptin may be an optimized treatment for patients with newly diagnosed T2DM compared with short-term CSII alone

The decoupling between gas exchange and water potential of Cinnamomum camphora seedlings during drought recovery and its relation to ABA accumulation in leaves

Aims Drought stress and the degree of drought severity are predicted to rise under highly variable patterns of precipitation due to climate change, while the capacity of trees to cope with drought recovery through physiological and biochemical adjustment remains unclear. We aimed to examine the coupling of physiology and biochemistry in trees during drought and the following recovery. Methods Potted seedlings of Cinnamomum camphora were grown under well watered conditions prior to the experimental drought stress, which was initiated by withholding water. Seedlings were rewatered following attainment of two drought severities: mild drought (stomatal closure) and moderate drought (ψxylem = −1.5 MPa). We measured leaf-level water potential, gas exchange (photosynthesis and stomatal conductance), abscisic acid (ABA), proline and non-structural carbohydrates (NSCs) concentrations in seedlings of C. camphora during drought and a 4-day recovery. Important Findings We found that drought severity largely determined physiological and biochemical responses and affected the rate of recovery. Stomatal closure occurred at the mild drought stress, accompanied with ABA accumulation in leaves and decline in water potential, while leaf proline accumulation and variable NSC were evident at the moderate drought stress. More severe drought stress led to delayed recovery of gas exchange, but it did not have significant effect on water potential recovery. The relationships of water potential and gas exchange differed during drought stress and post-drought recovery. There was tight coupling between water potential and gas exchange during drought, but not during rewatering due to high ABA accumulation in leaves, thereby delaying recovery of stomatal conductance. Our results demonstrate that ABA could be an important factor in delaying the recovery of stomatal conductance following rewatering and after water potential recovery of C. camphora. Furthermore, greater drought severity had significant impacts on the rate of recovery of tree physiology and biochemistry

Research on the Dynamic Hysteresis Loop Model of the Residence Times Difference (RTD)-Fluxgate

Based on the core hysteresis features, the RTD-fluxgate core, while working, is repeatedly saturated with excitation field. When the fluxgate simulates, the accurate characteristic model of the core may provide a precise simulation result. As the shape of the ideal hysteresis loop model is fixed, it cannot accurately reflect the actual dynamic changing rules of the hysteresis loop. In order to improve the fluxgate simulation accuracy, a dynamic hysteresis loop model containing the parameters which have actual physical meanings is proposed based on the changing rule of the permeability parameter when the fluxgate is working. Compared with the ideal hysteresis loop model, this model has considered the dynamic features of the hysteresis loop, which makes the simulation results closer to the actual output. In addition, other hysteresis loops of different magnetic materials can be explained utilizing the described model for an example of amorphous magnetic material in this manuscript. The model has been validated by the output response comparison between experiment results and fitting results using the model