Reconstruction of Knowledge and Medical Images in the Convergence of Chinese and Western Medicine:Taking “Sweet Meat” as an Example

The pancreas is neither part of the five Zang organs(五脏) nor the six Fu organs(六腑).Thus,it has received little attention in Chinese medical literature.In the late 19th century,medical missionaries in China started translating and introducing anatomical and physiological knowledge about the pancreas.As for the word pancreas,an early and influential translation was “sweet meat”(甜肉),proposed by Benjamin Hobson(合信).The translation “sweet meat” is not faithful to the original meaning of “pancreas”,but is a term coined by Hobson based on his personal habits,and the word “sweet” appeared by chance.However,in the decades since the term “sweet meat” became popular,Chinese medicine practitioners,such as Tang Zonghai(唐宗海),reinterpreted it by drawing new medical illustrations for “sweet meat” and giving new connotations to the word “sweet”.This discussion and interpretation of “sweet meat” in modern China,particularly among Chinese medicine professionals,is not only a dissemination and interpretation of the knowledge of “pancreas”,but also a construction of knowledge around the term “sweet meat”.

Video object's behavior analyzing based on motion history image and hidden markov model

A novel method was proposed, which extracted video object＇ s track and analyzed video object＇ s be- havior. Firstly, this method tracked the video object based on motion history image, and obtained the co- ordinate-based track sequence and orientation-based track sequence of the video object. Then the pro- posed hidden markov model （HMM） based algorithm was used to analyze the behavior of video object with the track sequence as input. Experimental results on traffic object show that this method can achieve the statistics of a mass of traffic objects＇ behavior efficiently, can acquire the reasonable velocity behavior curve of traffic object, and can recognize traffic object＇ s various behaviors accurately. It provides a base for further research on video object behavior.

The Moving Image 16, no. 1—Special Issue： Early Cinema and the Archives

This paper would investigate the Moving Image Archive at the Cinema Museum in Tehran to highlight the importance of new media in Iran after the 1930s and the changes that were brought about by the birth of cinema in the existing geopolitical conditions. It would look very closely at the first silent film made in Iran titled Haji Agha, the Cinema Actor （1933） by Ovanes Ohanian. While reflecting on the socio-political relation of the film to its era, this paper would also bring to attention the process of filmmaking and screening in 1930s Iran--the production and restoration of footage, posters and publicity for the film, and the screening venue. The cinema in question used to be called TamashaKhaneh when it was simply a projection room in Tehran where people would keenly take their seats to view the same film over and over again in some cases. The author would investigate the advent of cinema as a foreign concept in Iranian life and try to reflect upon the way in which it has been gradually adopted as a national treasure over the years. Haji Agha, the Cinema Actor is one of the most important reflections of the social transition that has occurred in Iranian history. Here, through the hundred-minute black and white footage, Ohanian depicts the tense political climate following the coup of Mossadegh, as well as the ban on traditional clothing during the last monarchy of Iran; at the same time, the film represents tradition and modernity as two supposedly opposite stances that, in fact, complemented each other in this era. The title combines Haji Agha, a religious man who has visited mecca, with the English words the Cinema Actor, to further express the complementary relation between old and new. Ohanian very professionally depicts the role of family as a core part of the religious boundaries for men and women that unfold throughout the film due to their encounter with cinema and filmmaking. He uses issues like sex and taboo to push the boundaries and map a certain cultural modernity within Iranian society.

Self-service Behavior Recognition Algorithm Based on Improved Motion History Image Network

Aiming at the problem of automatic detection of normal operation behavior in self-service business management,with improved motion history image as input,a recognition method of convolutional neural network is proposed to timely judge the occurrence of anomie behavior.Firstly,the key frame sequence was extracted from the self-service operation video based on the method of uniform energy down-sampling.Secondly,combined with the timing information of key frames to adaptively estimate the decay parameters of the motion history image,adding information contrast to generating a logic matrix can improve the calculation speed of the improved motion history image.Finally,the formed motion history image was input into the established convolutional neural network to obtain the class of self-service behavior and distinguish anomie behavior.In real scenarios of self-service baggage check-in for civil aviation passengers,the typical check-in behavior data set is established and tested in actual self-service baggage check-in system of the airport.The results show that the method proposed can effectively identify typical anomie behaviors and has high practical value.