English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. Classification model is the core of machine learning and data mining, which can be applied to extracting information from English text data and constructing a reliable grammar correction method. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of English grammar error (...) correction algorithm, elaborated the development background, current status, and future challenges of the classification model, introduced the methods and principles of feature extraction method and dynamic residual structure, constructed a basic model for English grammar error correction based on the classification model, analyzed the classification model and translation model of English grammar error correction, proposed the English grammar error correction algorithm based on the classification model, performed the analyses of the model architecture and model optimizer of the grammar error correction algorithm, and finally conducted a simulation experiment and its result analysis. The study results show that, with the continuous increase of training samples and the continuous progress of learning process, the proposed English grammar error correction algorithm based on the classification model will continue to increase its classification accuracy, further refine its recognition rules, and gradually improve correction efficiency, thereby reducing processing time, saving storage space, and streamlining processing flow. The study results of this paper provide a certain reference for the further research on English grammar error correction algorithm based on the classification model. (shrink)

Background: It has been reported that type 2 diabetes is associated with olfactory identification impairments and cognitive decline. However, the relationship between OI impairments and cognitive decline is largely unknown in T2DM patients.Methods: Sixty-eight T2DM patients and 68 healthy controls underwent 3D-T1 MRI scans, olfactory and cognitive assessments. The cortical thickness of olfaction-related brain regions, olfactory and cognitive scores were compared between groups. Correlation analyses were carried out among cognition, olfaction, and cortical thickness of olfaction-related brain regions.Results: First, the cognitive (...) and olfactory test scores of T2DM patients were lower than healthy subjects. Second, higher olfactory scores were associated with increased cortical thickness in the left parahippocampal gyrus and bilateral insula in T2DM. Third, higher olfactory scores were associated with higher cognitive performance in T2DM. Fourth, some cognitive performances were related to cortical thickness in the left parahippocampal gyrus and left insula in T2DM.Conclusion: These findings indicated that olfactory dysfunction may be useful for future applications that attempt to predict cognitive decline or develop tailored therapies in T2DM patients. (shrink)

A stock divestment campaign is a common strategy used by social activists to pressure corporations to abandon undesirable practices. However, evidence on the effectiveness of the strategy remains mixed. In this paper, we examine the effectiveness of an international stock boycott by studying a large sample of institutional investor transactions in four emerging market stocks targeted by the Sudan divestment campaign from 2001 to 2012. We find evidence of a negative relationship between the intensity of the campaign and the ownership (...) breadth of the stocks, suggesting the effectiveness of the campaign in encouraging investors to divest from targeted companies. Additional analysis indicates that investors in countries that are sympathetic towards CSR activities are more responsive to the divestment campaign. Further, we find evidence consistent with higher campaign intensity being associated with more depressed stock prices. Finally, when performing qualitative content analyses of the annual reports and CSR reports, we find evidence about the effects of the campaign on the targeted companies’ corporate policies and activities in Sudan. In sum, our results support the effectiveness of the stock boycott. (shrink)

周山(1949-),上海社会科学院哲学研究所副研究员、周易研究中心秘书长、中国逻辑史研究会理事、上海市逻辑学会理事.