Research on the Cultivation of Informatization Teaching Ability of College English Teachers

The rapid development of information technology, the emergence and application of artificial intelligence technology have opened the prelude to the era of intelligence. The advent of the intelligent era has brought profound impact on the field of education, causing major changes in its living environment, construction mode, organizational form, value goals and other aspects. The extensive and in-depth application of information technology in education and teaching has become an inevitable trend, which puts forward higher requirements for the information-based teaching ability of college English teachers. In the intelligent era, teachers with strong information teaching ability are of indispensable significance to the construction of college English “golden course”, which can effectively improve the teaching ecology and effectively promote the improvement of education quality. From the perspectives of teachers, schools and the country, this paper puts forward the training strategies for college English teachers’ information-based teaching ability, hoping to provide effective help for the normalization and sustainable development of teachers’ information-based teaching ability, and provide certain references for the development of education information-based education in China.

Multi-scale investigation of microstructure, fiber-matrix bond, and mechanical properties of ultra-high performance concrete

The main objective of this study is to provide new insights into enhancing fiber-matrix bond and mechanical properties of ultra-high performance concrete (UHPC). Three main strategies were investigated: 1) use of supplementary cementitious materials; 2) use of nano-particles; and 3) use of deformed fibers. A multi-scale investigation involving the evaluation of non-fibrous UHPC mortar phase (matrix), fiber-matrix interface phase, and then UHPC composite material was undertaken to determine microstructural characteristics, fiber bond to matrix, and key mechanical properties of the UHPC matrix and UHPC. Test results indicate that the incorporation of 10%-20% silica fume effectively improved the fiber-matrix bond and mechanical properties due to increased C-S-H content and decreased porosity. The flexural and tensile strengths of UHPC were found to increase by approximately 15%-30% and 35%-70%, respectively. Optimal nano-CaCO₃ and nano-SiO₂ contents were found to be 3.2% and 1.0%, respectively, by mass of binder. High nano-particle content decreased the fiber-matrix bond and mechanical properties of matrix and UHPC due to the increased porosity and introduction of weak zone at fiber-matrix interface. The use of deformed fibers enhanced bond given additional mechanical interlocking and enhanced friction. Compared to straight fibers, the corrugated and hooked fibers improved the bond strengths by approximately three and seven times, respectively. Such values were three and four times greater for pullout energy. The flexural strengths of UHPC made with 2% corrugated and hooked fibers were enhanced by approximately 10%-30% and 15%-50%, respectively. The tensile/flexural strengths of UHPC can be predicted based on the composite theory given fiber-matrix bond strength, strength of matrix, and fiber characteristics --Abstract, page iii

Finite element linear static structural analysis and modal analysis for Lunar Lander

Lunar exploration is one of the most important projects in the world. A primary objective of the probe in lunar is to soft-land a manned spacecraft on lunar surface. The soft-landing system is the key composition of the lunar lander. In the overall design of lunar lander, the analysis of touchdown dynamics during landing stage is an important work. In this paper, firstly, based on the mechanical theory, a finite element model for the lunar lander is established. Secondly, the linear static structural analysis under particular conditions is performed to determine the nodal stress and displacement distributions and the modal analysis is conducted to obtain the frequencies and their corresponding vibration shapes. Finally, the weakness parts of the structure and the behavior of the system are obtained by analyzing the simulating results, which are beneficial to the optimizing design for the lunar Lander

Tratamiento de la información periodística sobre las cumbres de cambio climático de las Naciones Unidas a partir de la cumbre de Copenhague (2009)

El tema ambiental se ha transformado en un asunto de gran dimensión científica y social desde numerosas perspectivas que abarcan desde la toma de decisiones políticas a escala internacional y nacional para proteger el medio ambiente, hasta las estrategias para concienciar a los particulares y conseguir de ellos comportamientos más amigables desde esta perspectiva, en su vida cotidiana. La protección del medio ambiente es el punto estratégico en la búsqueda del desarrollo sostenible. Es imprescindible acometer una labor de sensibilización y concienciación de la sociedad en materia de medio ambiente porque sin aumentarla, nadie considera posible, hoy en día, un cambio de actitud de la colectividad a favor de comportamientos más amigables con el medio y mayor consideración con el uso de los recursos naturales en la producción y en el consumo. La protección del medio ambiente depende, en gran medida, del periodismo cuya influencia contribuye a la toma de decisiones correctas sobre los asuntos medioambientales. Bajo estas premisas, en esta investigación se realiza el análisis sobre el tratamiento de la información periodística realizado en las Conferencias de las Naciones Unidas sobe el cambio climático (cumbres del clima) desde el año 2009 al año 2015, en periódicos digitales: EL MUNDO (España), THE WASHINGON POST (EE.UU.) y PEOPLE’S DAILY (China). El trabajo empírico realizado permite realizar un recorrido sobre el papel que desempeña el periodismo ambiental en la protección medioambiental y el juego que proporciona el soporte digital al desarrollar la labor periodística enfocada en dicho tema. Al hilo del tema principal, se revisa asimismo, la necesidad de salvaguardar nuestro sustento de vida, la conservación del sistema ecológico global, la educación ambiental, la sensibilización ciudadana y la exigencia de la calidad periodística..

Inhibition of SPRY2 expression protects sevoflurane-induced nerve injury via ERK signaling pathway

Purpose: To investigate the effect of Sprouty2 (SPRY2) on sevoflurane (SEV) induced nerve injury in rats and its potential signaling pathway. Methods: Male Sprague-Dawley rats were divided into sham and SEV groups containing six rats per group. Neurological injury assessment and H & E staining were performed to evaluate the degree of nerve injury in the rats, while quantitative polymerase chain reaction (qPCR) and immunoblot assays were performed to confirm the expression levels of SPRY2 in hippocampus tissues. Morris water maze tests were performed to determine the degree of cognitive deficit in rats. TUNEL and immunoblot assays were performed to evaluate the effects of SPRY2 on the apoptosis of hippocampus tissues. Results: The SPRY2 expression was elevated in sevoflurane-induced hippocampus injury (p < 0.001). Ablation of SPRY2 inhibited sevoflurane-induced hippocampal neuron apoptosis (p < 0.001). In addition, depletion of SPRY2 promoted hippocampal neuron activity and decreased apoptosis (p < 0.001). Knockdown of SPRY2 promoted ERK signaling pathway, thereby protecting against sevoflurane-induced nerve injury and cognitive deficit in the rats (p < 0.001). Conclusion: Sevoflurane induces cognitive dysfunction and upregulates SPRY2 expression in brain tissues in rats. The SPRY2 knockdown improves SEV-induced neural injuries and cognitive deficits, inhibits hippocampal neuron apoptosis, and enhances its activity. Meanwhile, SPRY2 depletion protects SEV-induced nerve injury via the ERK pathway. Thus, Sprouty2 could serve as a promising drug target for the treatment of SEV-induced cognitive dysfunctions

Sparse Bayesian Grouped Regression with Application to Genome-Wide Association Studies

© 2019 Zemei XuStatistical variable selection, also known as feature selection, has become an indispensable tool in many research areas involving machine learning and data mining. The object of statistical variable selection is to select the best subset of predictors for fitting or predicting the response variable from a potentially large collection of candidate predictors. It is particularly important in high-dimensional problems such as cancer genetics, where there are potentially thousands of predictors and only a few are associated with the outcome. Moreover, predictors may have underlying group structures in them, so it is desirable to take the underlying group effects into consideration when performing variable selection and handle the grouping structure present in the model when selecting important variables. This thesis presents a Bayesian grouped regression model with continuous global-local shrinkage priors to tackle the high-dimensional variable selection problem by introducing shrinkage parameters at the group level as well as within each group. This model is able to handle complex group hierarchies that include overlapping and multilevel group structures, and also enjoys the advantages of handling sparsity as well as strong signals. The proposed method is also applied to a real high-dimensional GWAS breast cancer dataset, Haiman-Hopper dataset, to analyse the breast cancer genome-wide association study