辨证施治:深度学习研究方法论归演

深度学习拟架通与脑科学、心理学、教育学和信息技术的桥梁,厘清课堂与教学的样态诉求,以构建对实践具有解释力和指导力的深度学习理论。深度学习扎根于技术哲学,融合“辨证施治”思想,揭示深度学习的本质。厘清技术、人与教育的逻辑关系,即技术已成为人的“无机身体”,对技术于人、于教育的理解随着时代发展或所考察问题不断变化。在此基础上,从观察与标记、归纳与联结、描述与编码、解释与变换四个方面分别阐述了深度学习研究方法论和研究方法。深度学习从科学世界走向生活世界,关注生活世界中教育的复杂性问题,让整个教育体系的真实生活与实践有效联结,为构建深度学习教育理论体系奠定基础。

Lamé parameters inversion based on elastic impedance and its application

The Connolly （1999） elastic impedance （EI） equation is a function of P-wave velocity, S-wave velocity, density, and incidence angle. Conventional inversion methods based on this equation can only extract P-velocity, S-velocity, and density data directly and the elastic impedance at different incidence angles are not at the same scale, which makes comparison difficult. We propose a new elastic impedance equation based on the Gray et al. （1999） Zoeppritz approximation using Lamé parameters to address the conventional inversion method＇s deficiencies. This equation has been normalized to unify the elastic impedance dimensions at different angles and used for inversion. Lamé parameters can be extracted directly from the elastic impedance data obtained from inversion using the linear relation between Lamé parameters and elastic impedance. The application example shows that the elastic parameters extracted using this new method are more stable and correct and can recover the reservoir information very well. The new method is an improvement on the conventional method based on Connolly＇s equation.

Application of well log normalization in coalfield seismic inversion

During the process of coal prospecting and exploration, different measurement time, different logging instruments and series can lead to systematic errors in well logs. Accordingly, all logging curves need to be normalized in the mining area. By studying well-logging normalization methods, and focusing on the characteristics of the coalfield, the frequency histogram method was used in accordance with the condition of the Guqiao Coal Mine. In this way, the density and sonic velocity at marker bed in the non-key well were made to close to those in the key well, and were eventually equal. Well log normalization was completed when this method was applied to the entire logging curves. The results show that the scales of logging data were unified by normalizing coal logging curves, and the logging data were consistent with wave impedance inversion data. A satisfactory inversion effect was obtained.

The Effect of Integrating Inductive Approach and Deductive Approach With Multimedia Assistance Into Acquisition of Subjunctive Mood

This study applied both inductive approach and deductive approach with multimedia assistance into an English grammar class on the acquisition of subjunctive mood. It aimed to investigate whether this kind of teaching approach, as a general grammar pedagogy, would improve the efficiency of students＇ acquisition of certain grammar points. This study results from comparison and contrast between one same class on the acquisition of subjunctive mood to 70 students in total, employing three different teaching methods： inductive approach with multimedia assistance （method 1）, deductive approach with multimedia assistance （method 2）, and both inductive approach and deductive approach with multimedia assistance （method 3）, based on self-reported reflection on the experiment, observation of students＇ learning process, students＇ pre-test and after-class evaluation test results, and surveys. Two identical experiments were conducted to two groups of students of different levels of language proficiency to increase the generalizability of the results. Findings revealed that the evaluation test score of the grammatical points taught with method 3 is much higher than those taught with the other two methods, and most students felt positive about method 3. Students nevertheless encounter obvious difficulties in inductive approach, indicating certain lack of self-learning skills in Chinese students

Semi-supervised Support Vector Regression Model for Remote Sensing Water Quality Retrieving

This paper proposed a semi-supervised regression model with co-training algorithm based on support vector machine, which was used for retrieving water quality variables from SPOT 5 remote sensing data. The model consisted of two support vector regressors (SVRs). Nonlinear relationship between water quality variables and SPOT 5 spectrum was described by the two SVRs, and semi-supervised co-training algorithm for the SVRs was es-tablished. The model was used for retrieving concentrations of four representative pollution indicators―permangan- ate index (CODmn), ammonia nitrogen (NH3-N), chemical oxygen demand (COD) and dissolved oxygen (DO) of the Weihe River in Shaanxi Province, China. The spatial distribution map for those variables over a part of the Weihe River was also produced. SVR can be used to implement any nonlinear mapping readily, and semi-supervis- ed learning can make use of both labeled and unlabeled samples. By integrating the two SVRs and using semi-supervised learning, we provide an operational method when paired samples are limited. The results show that it is much better than the multiple statistical regression method, and can provide the whole water pollution condi-tions for management fast and can be extended to hyperspectral remote sensing applications.

Harmonic Inversion of Recurrence Spectra of Nonhydrogen Atom in an Electric Field

An extended harmonic inversion method is analytically continued to approach bifurcation region of the dosed orbits thus to obtain highly resolved spectra of lithium atom in external field. The suitable band-limited signal is generated by a semielassieal uniform approximation. By decimating the selected signal window and solving the algebraic set of nonlinear equations the quantum eigenvalues are properly fitted, which reveal the fine resonance structure hidden in low resolution spectrum. The study is made at the sealed energy ε= -2.7, relevant bifurcation effects and corescattered impacts have to be taken into account. It is demonstrated that the present method is a useful technique for the semiclassieal quantization of system with mixed regular-chaotic classical dynamics.

Evolution of Nitrogen, Phosphorus and Potassium Fertilizer Application Rates in Cotton Fields and Its Influences on Cotton Yield in the Yangtze River Valley

[Objective] The historical evolution pattern of nitrogen （N）, phosphorus （P） and potassium （K） fertilizer application rate and its effects on lint cotton yield were explored to provide the theoretical basis for reasonable fertilizer management strate-gy in the cotton planting region of the Yangtze River Val ey. [Method] GGE biplot analysis method was adopted to analyze the correlation among N, P and K fertilizer application rate and lint cotton yield with the dataset of national cotton regional trials of the Yangtze River Val ey during 1991-2013. The linear and nonlinear regression analysis method was used to reveal the evolution of the fertilizer applying patterns, and analyze the effects of N, P, K application rates on cotton lint yield. [Result] The application rates of N, P and K fertilizer presented highly significant positive corre-lation with lint cotton yield, among which the potassium fertilizer was the strongest relative factor with lint cotton yield, fol owed by phosphorus fertilizer, while nitrogen fertilizer was the weakest factor. The application rate of nitrogen fertilizer was relat-ed with the test year in the pattern of a quadratic function, while phosphate and potassium had progressive increase linear relation with the test year in the cotton planting region of the Yangtze River Val ey. Meanwhile, cotton lint yield was in re-sponse to nitrogen fertilizer content increase with a quadratic parabola function, and increased with the applying phosphate fertilizer and potassium fertilizer content with linearly increasing function. [Conclusion] The increasing application amount of N, P and K fertilizer was general y beneficial to cotton yield improvements, however, ex-orbitant applying nitrogen fertilizer was unfavorable for cotton production, and a reasonable mixture formula of N, P and K fertilizer was better in terms of cotton yield-increasing effect.

What Characterizes Chinese Students’ Exposition Besides Deduction and Induction?: A Comparative Rhetoric Perspective

Rhetorical features of Chinese writers’essays have been studied for decades but inconsistent interpretations of deduction and induction lead to controversial results.Taking a comparative rhetoric perspective,this paper clarifies the notions of deduction and induction and investigates what rhetorical features characterize Chinese expository paragraphs besides deduction and induction and whether Chinese EFL learners’English paragraphs have similar features.Two kinds of data sources were used—29 full-score Chinese expositions in College Entrance Examinations and 29 English expositions written by Chinese EFL learners.The results show that deduction is preferred in both Chinese and EFL writing,and that rhetorical paragraphs and coordinate paragraphs are particular to Chinese writing while the EFL learners’paragraphs display hybrid rhetoric such as semi-coordination.It is concluded that neither Chinese paragraphs nor EFL ones are similar to the modern English rhetorical paradigm,and English rhetoric instruction will facilitate the introspection of the two kinds of rhetoric.

The Evaluation of Rural Territorial Functions: A Case Study of Henan, China

China＇s new urbanization process requires coordinated development between cities and rural areas. Territorial functions of rural areas are defined as advantageous effects on nature and human society that, in particular, rural systems perform via their property and interactions with other systems at certain social development stages. This paper establishes an index System for evaluating rural territorial functions including agricultural function, social function, economic function and ecological function. By establishing a model based on a General Regression Neural Network （GRNN） with the county-level as the basic unit, we comprehensively evaluate the rural territorial functions of 109 counties and/or cities in Henan province, China in 2000, 2005 and 2010. Results show that compared with that in 2000, each function in 2010 improved, with the spatial heterogeneity of economic func- tion the most evident, social service function comparatively balanced and spatial distribution of agricultural produc- tion function changing little. Cluster analysis was adopted to study the major functions of rural regions. Henan was divided into six major function zones to enhance administrative management and developmental policy. The six major function zones are Type I （core economic development zone）, Type II （agricultural production safeguarding zone）, Type III （function improving zone for rural areas）, Type IV （model zone of livelihood and social services）, Type V （economic restructuring and development zone）, and Type Vl （nature conservation areas）. Different development goals and development strategies should be considered according to different major function areas to achieve the coordinated development of urban and rural areas in China.