The Rise of Bengal Peasants’ India Islamic Nationalism Imagination

This article analyzes why the Bengal Muslim peasants joined in the imagination of Indian Islamic nationalism, which had emerged later than Indian Muslim elites. The imagination of India Islamic nationalism was built by Indian Muslim elites through Education Pilgrimage. And Bengal Muslim peasants’ India Islamic Nationalism was mainly through seeking economic rights and protecting Islamic faith, which had attracted many Bengal peasants and led to more and more peasants joined the imagination of India Islamic nationalism. So analyze the reason why Bengal peasants joined in the imagination of India Islamic nationalism could help us get a deeper understanding of why the various sectors of Indian Muslims had joined in the imagination of India Islamic nationalism

Human Solicitude Should be Concerned in the Management of College Students

Modern education holds the concept that education is for the people. Based on the Maslow’s “Hierarchy of needs”theory, the paper analyzes the different levels of needs of the college students and the driving effects of those needs exerting on the students. The theory can be applied to the task of the management of college students. The paper proposes that a scientific student management task should start with the intrinsic motivation, satisfying the needs of the multi-layered needs of the students, attaching great importance to the human solicitude in the student management. The management of college students should focus on the ideological and moral education, make the use of motivation incentives to cultivate their temperamental qualities, explore their multi-layered potentials, boost their creative power, and encourage them to pursue higher life values and achieve self-actualization. Key words: Student management; motivation methods; ideological and moral education; self-actualizatio

The Core Competencies for Chinese Language Teachers in Taiwan: A Multiple Criteria Decision Making Approach

There were two research questions in this study: what are the most important competencies for Chinese language teachers; and what is the priority for the competencies? This study applied the DEMATEL to analyze competencies from 15 experts. The results showed that competencies were categorized into four dimensions. They were Culture, Instruction, Communication, and Professional Development. Each dimension had multiple criteria. There were three kinds of criteria under the dimension of Culture. They were ‘global awareness,’ ‘intercultural communication,’ and ‘Chinese culture.’ The dimension of Instruction had three kinds of criteria. They were ‘instructional perspective,’ ‘teaching method,’ and ‘assessment.’ There were three kinds of criteria under the dimension of Communication. They were ‘oral Chinese,’ ‘learner\u27s language,’ and ‘expression ability.’ Finally, the criteria of ‘Chinese grammar,’ ‘use of technology’, and ‘collaborate with colleagues’ were categorized under the dimension of Professional Development. Overall, the four dimensions from the literature review were divided into 12 criteria. In the aspect of four dimensions, the sequence in terms of the degree of influence was ‘instruction,’ ‘professional development,’ communication’, and ‘culture.’ In general, the ‘instruction’ was considered by the experts as a most important dimension of competency for Chinese language teachers. In the aspect of 12 criteria, the sequence in terms of the degree of influence was ‘instructional perspective,’ ‘teaching method,’ ‘Chinese grammar,’ ‘collaboration with colleagues’, ‘use of technology’, ‘oral Chinese,’ ‘intercultural communication,’ ‘learner\u27s language,’ ‘expression ability,’ ‘global awareness,’ ‘Chinese culture’, and ‘assessment.’ In general, the ‘instructional perspective’ was considered by the experts as a most important criterion of competency for Chinese language teachers. Findings can be used to improve the quality of Chinese language teachers in many ways

Isolation and identification of root-inhibiting compounds from corn gluten meal

Public awareness and concern for environmental protection and human safety has led to the search for naturally occurring compounds that are able to inhibit growth and development of weed plants. It has been reported that corn gluten meal is useful as a natural preemergence herbicide and fertilizer material for various plant production systems. The active components responsible for the herbicidal activity of corn gluten meal could potentially be used as natural herbicides;Based on the results from greenhouse and growth chamber bioassays using three species of grass plants, it was found that samples of hydrolyzed protein from corn gluten meal were more herbicidally active than the corn gluten itself and were highly water-soluble. Gluten hydrolysate prepared with bacterial proteinase had the highest inhibitory activity. This material was chosen for isolation and identification of the bioactive compounds. The response of roots was more sensitive than that of shoots to the inhibitory compounds;Five dipeptides were isolated from an aqueous solution of the corn gluten hydrolysate and their inhibitory effects on roots of test grass plants were demonstrated in petri dish bioassays. The five dipeptides were glutaminyl-glutamine, alaninyl-asparagine, alaninyl-glutamine, glycinyl-alanine, and alaninyl-alanine. These 5 dipeptides showed no synergistic effect on the root-inhibiting activity. However, the bioactivity was increased as increasing the proportion of the more active dipeptides in the mixture. In a soil bioassay, alaninyl-asparagine and glycinyl-alanine were demonstrated to inhibit rooting of creeping bentgrass;Eight other synthetically produced dipeptides were tested for their inhibitory activity using the perennial ryegrass petri dish bioassays. Of those tested, alaninyl-glycine was found to be the most inhibitory and glycinyl-glutamic acid the least. The constituent amino acids of the dipeptide were found to be more important than their sequence for bioactivity. Of the 6 amino acids, L-asparagine was the most potent root inhibitor, followed by L-alanine, L-glutamine, and glycine

Target-Tailored Source-Transformation for Scene Graph Generation

Scene graph generation aims to provide a semantic and structural description of an image, denoting the objects (with nodes) and their relationships (with edges). The best performing works to date are based on exploiting the context surrounding objects or relations,e.g., by passing information among objects. In these approaches, to transform the representation of source objects is a critical process for extracting information for the use by target objects. In this work, we argue that a source object should give what tar-get object needs and give different objects different information rather than contributing common information to all targets. To achieve this goal, we propose a Target-TailoredSource-Transformation (TTST) method to efficiently propagate information among object proposals and relations. Particularly, for a source object proposal which will contribute information to other target objects, we transform the source object feature to the target object feature domain by simultaneously taking both the source and target into account. We further explore more powerful representations by integrating language prior with the visual context in the transformation for the scene graph generation. By doing so the target object is able to extract target-specific information from the source object and source relation accordingly to refine its representation. Our framework is validated on the Visual Genome bench-mark and demonstrated its state-of-the-art performance for the scene graph generation. The experimental results show that the performance of object detection and visual relation-ship detection are promoted mutually by our method