1,145 research outputs found
Research on the Teaching Strategies of College English Writing Under the Guidance of Schema Theory
In language activities, English writing is a very important skill of language output; in college English learning, students’ improvement in writing is important for English teaching. To apply schema to writ teaching, the teacher ought to first help students to activate the language, content, formal schemas stored in their mind, and then to elevate their writing skills by setting up new schemas
Cultural Image Compensation in Poem Translation From the Perspective of Gestalt Theory
The integrity principle of gestalt theory asks the translator accurately reproduce the cultural image and content of the source poem, in order to exactly recreate the poem’s gestalt essence. Therefore the cultural image of the original poem is subject to and serves for the poem’s gestalt essence. When there is no linguistic equivalence to the source language, culture, and image, the translator ought to adopt appropriate strategies for reproduction and compensation, to reproduce the similar gestalt essence or to compensate for the source image, thus to make the original culture and image acceptable, and ultimately to spread the original culture to the target reader.
Cultural Soft Power in the Translation of Chinese Classics
Chinese classics, as the most important representative of Chinese culture, take on the responsibility of demoting the cultural soft power of China. In translating Chinese classics to the west, therefore, the unique culture of China must be maintained. In order to achieve this goal, the translator must reconsider Chinese culture and classics, and then work out a long-term translating strategy. The translator ought to seek cooperation between Chinese and foreign experts, between translators and presses. What’s more, the subject construction of classic translation and the cultivation of cultural translators must be promoted in order to improve the translation quality. As a cross-cultural activity, the translation of Chinese classics is bound to enhance China’s cultural soft power
Combination of Project-Based and Case-Based Learning Methods in Foreign-Language Teaching
Foreign-language teaching will have effective results by combining theoretical instruction with practical instruction. Project-based learning is mainly theory-oriented and case-based learning is mainly practice-oriented, and the two educational methods can both enhance the students’ learning motivation and efficiency. Foreign language teachers are expected to change the traditional teacher-centered teaching ways and employ the two learning methods to increase the learning efficiency of foreign languages
The Embodiment of Ceramic Culture-Loaded Words in Chinese Ceramic Stories
Ceramic culture-loaded words carry with them abundant Chinese culture, and they are good carriers to spread Chinese ceramic culture to the world. China is now advocating the strategy of “Chinese Culture Going Out”, aiming to tell Chinese stories to the global people. Chinese ceramic stories contains a lot of culture-loaded words which are unique and characteristic in ceramic culture. This paper analyses the embodiment of ceramic culture-loaded words in Chinese ceramic stories
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
Deep neural networks (DNN) have been shown to be useful in a wide range of
applications. However, they are also known to be vulnerable to adversarial
samples. By transforming a normal sample with some carefully crafted human
imperceptible perturbations, even highly accurate DNN make wrong decisions.
Multiple defense mechanisms have been proposed which aim to hinder the
generation of such adversarial samples. However, a recent work show that most
of them are ineffective. In this work, we propose an alternative approach to
detect adversarial samples at runtime. Our main observation is that adversarial
samples are much more sensitive than normal samples if we impose random
mutations on the DNN. We thus first propose a measure of `sensitivity' and show
empirically that normal samples and adversarial samples have distinguishable
sensitivity. We then integrate statistical hypothesis testing and model
mutation testing to check whether an input sample is likely to be normal or
adversarial at runtime by measuring its sensitivity. We evaluated our approach
on the MNIST and CIFAR10 datasets. The results show that our approach detects
adversarial samples generated by state-of-the-art attacking methods efficiently
and accurately.Comment: Accepted by ICSE 201
Learning probabilistic models for model checking: an evolutionary approach and an empirical study
Optical imaging and stimulation systems for engineered human cardiac tissues
Heart disease is the leading cause of death in the world. Finding future therapeutics for heart disease requires the development of mature 3D engineered human cardiac tissues that can serve as reliable models for biological studies and drug development. The ability to measure and stimulate cardiac action potentials (APs) is key to the development of these 3D tissue models.
Optical measurement and stimulation methods offer an enticing solution to longstanding tissue development testbed needs. However, existing optical measurement methods have relied on toxic voltage dyes and motion inhibiting drugs, and existing optical stimulation methods have mainly focused on optogenetic modification techniques.
In this dissertation, I present two related optical systems built for 3D engineered human cardiac microtissues, organized into two chapters: 1) a dual-mode voltage and contraction imaging optical microscope for tracking action potential metrics with fluorescent genetically encoded voltage indicator Archon1, and 2) an all optical cardiac stimulation system for unmodified engineered human cardiac micro-tissues with red and blue laser pulse options. These systems offer cardiac researchers less invasive optical solutions for cardiac action potential visualization and pacing: the microscope system allows direct action potential measurements without the use of toxic dyes, and the stimulation system allows ex-vivo pacing without any modification to the sample, genetic or otherwise. I will discuss the system design motivations, challenges, results, and mechanisms of this work
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