On the Translation of Chinese Webcomics: A Case Study of My Dear Highness

This paper discusses how to translate Chinese webcomic strips using My Dear Highness as an example. In our translation practice, such methods as variation translation, omission, and shift were adopted to deal with address forms or lengthy sentences, while free translation was used to deal with four-character structures and culture-loaded words or phrases in the original text to the effect that the intended meaning of the source text can be accurately conveyed to target readers under a multimodal context. We believe that whatever methods are used, the ultimate purpose of translation remains the same, and that is, the reading experience provided by the original text can be restored to the greatest possible extent

Inverse Problem Approach for Non-Perturbative QCD: Foundation

We propose a novel theoretical framework to calculate the non-perturbative QCD quantities. It starts from the dispersion relation of quantum field theory, separating the high-energy and low-energy scales and using the known perturbative theories to solve the unknown non-perturbative quantities by the inverse problem. We prove that the inverse problem of dispersion relation is ill-posed, with unique but unstable solutions. The regularization methods must be used to get the stable approximate solutions. The method is based on the strict mathematics, without any artificial assumptions. We have test some toy models to vividly show the main features of the inverse problem. It can be found that this approach can systematically improve the precision of the solutions.Comment: 23 pages, 8 figure

A Social Referral Mechanism for Job Reference Recommendation

Recently, with the popularity of various social media, this new trend of information technologies has impacted our lives, redefined the way we interact with each other, and facilitated the communication and influence cross different social groups, such as enhancing the power of social search and appraisal. _x000D_ In this research, we mainly focus on this mystery process of information exchanges existing long ago on the base of sociology and apply this power in the field of job seeking. Considering the factors of both willingness and influence, we generate the list of proper reference candidates to desired job for job seekers to provide more job-related information or to be referrals. Integrating the knowledge of human resources management, we implement this social referral application with the support of information technologies and strive to enrich the service of social media, turning the passively searching for job seeking to actively consulting for exclusively job information._x000D

Population genomic analysis of base composition evolution in Drosophila melanogaster.

The relative importance of mutation, selection, and biased gene conversion to patterns of base composition variation in Drosophila melanogaster, and to a lesser extent, D. simulans, has been investigated for many years. However, genomic data from sufficiently large samples to thoroughly characterize patterns of base composition polymorphism within species have been lacking. Here, we report a genome-wide analysis of coding and noncoding polymorphism in a large sample of inbred D. melanogaster strains from Raleigh, North Carolina. Consistent with previous results, we observed that AT mutations fix more frequently than GC mutations in D. melanogaster. Contrary to predictions of previous models of codon usage in D. melanogaster, we found that synonymous sites segregating for derived AT polymorphisms were less skewed toward low frequencies compared with sites segregating a derived GC polymorphism. However, no such pattern was observed for comparable base composition polymorphisms in noncoding DNA. These results suggest that AT-ending codons could currently be favored by natural selection in the D. melanogaster lineage

Supervised Collective Classification for Crowdsourcing

Crowdsourcing utilizes the wisdom of crowds for collective classification via information (e.g., labels of an item) provided by labelers. Current crowdsourcing algorithms are mainly unsupervised methods that are unaware of the quality of crowdsourced data. In this paper, we propose a supervised collective classification algorithm that aims to identify reliable labelers from the training data (e.g., items with known labels). The reliability (i.e., weighting factor) of each labeler is determined via a saddle point algorithm. The results on several crowdsourced data show that supervised methods can achieve better classification accuracy than unsupervised methods, and our proposed method outperforms other algorithms.Comment: to appear in IEEE Global Communications Conference (GLOBECOM) Workshop on Networking and Collaboration Issues for the Internet of Everythin

GECKO-INSPIRED FRACTAL BUFFER FOR PASSENGER ELEVATOR

Elevator accidents are common occurrences and can cause serious injuries and property damages. If an elevator falls from a tall building and hits the ground at high speed, passengers in the car have little chance of survival. We designed a fractal buffer with hierarchical structure, which is inspired by the gecko’s pad system, to minimize the damage. A fractal-fractional oscillator is established to show the frequency-amplitude relationship of the fractal buffer using He’s frequency formulation. The fractal-structured vibration-absorbing metamaterial in low frequency contributes to the elevator safety. This paper opens a new window for designing safe and reliable buffers, and provides entrepreneurs with new ideas for the next generation of elevators