Mirror self-recognition in a gorilla (gorilla gorilla gorilla)

Psychologists have studied self-recognition in human infants as an indication of self-knowledge (Amsterdam, 1972) and the development of abstract thought processes. Gallup (1970) modified the mark test used in human infant work to examine if nonhuman primates showed similar evidence of mirror self-recognition. Chimpanzees (Pan troglodytes) and orangutans (Pongo pygmnaeus) pass the mirror self-recognition test with limited mirror training or exposure. Other species of primates, such as gorillas and monkeys, have not passed the mirror test, despite extensive mirror exposure and training (Gallup, 1979). This project examined a gorilla (G. gorilla gorilla) named Otto in the traditional mark test. Using the modified mark-test, there were more incidents of touching the marked area while Otto was in front of the mirror than when he was not in front of the mirror. These results indicated that Otto was able to show some evidence of selfawareness.

Effects of a modified English listening comprehension curriculum on students' achievement in English listening comprehension at Tamsui Oxford University College in Taiwan

Due to increased international trade, English as a foreign language is important to Taiwan. However, ESL teaching and learning in Taiwan emphasizes reading and writing skills only. ESL teaching in Taiwan causes students to lack competence in complete communication. Improving students' listening and speaking is a vital issue in Taiwan. ^ The purposes of this study are to determine the effects of a modified curriculum for the English listening comprehension course, to investigate whether the modified curriculum results in a significant improvement in student's listening comprehension, and to determine whether students were motivated to increase listening comprehension ability as a result of the new listening activities. An experimental and a control group, randomly assigned, received either the modified or the traditional curriculum at Tamsui Oxford University College (TOUC) in Taiwan over a fourteen week period of time. ^ A Michigan Listening Comprehension posttest was used to determine the difference in achievement between the two groups. A final examination was conducted to compare the two groups' achievement and to determine whether the goal of increasing listening comprehension achievement by using a modified curriculum was met. Subjects completed two questionnaires, one common form prior to class and another unique form for each group at the end of instruction. ^ Frequency distribution, chi-square, t-test for independent samples and analysis of covariance were used to analyze the data. The findings indicated that there were no significant differences in students' attitude and interest in English listening comprehension between those who were taught with an English listening modified curriculum compared with those students who were taught with a traditional curriculum. The findings also indicated that there was a difference in the final examination with the control group taught using the traditional curriculum scoring higher than the experimental group taught using the modified curriculum for performance in English listening comprehension, but there was no difference in scores on the Michigan Listening Comprehension Test (posttest). In addition, it was found that learning attitude and motivation influence students' learning. ^

Modified continuous ant colony algorithm for function optimization

Many classical as well as modern optimization techniques exist. One such modern method belonging to the field of swarm intelligence is termed ant colony optimization. This relatively new concept in optimization involves the use of artificial ants and is based on real ant behavior inspired by the way ants search for food. In this thesis, a novel ant colony optimization technique for continuous domains was developed. The goal was to provide improvements in computing time and robustness when compared to other optimization algorithms. Optimization function spaces can have extreme topologies and are therefore difficult to optimize. The proposed method effectively searched the domain and solved difficult single-objective optimization problems. The developed algorithm was run for numerous classic test cases for both single and multi-objective problems. The results demonstrate that the method is robust, stable, and that the number of objective function evaluations is comparable to other optimization algorithms.