Autism, Dilogic and Persons

The syndrome of autism was first systematically identified in the 1940's (Kanner 1943), and has been the focus of a broad range of work since that time (Rutter 1999). Its symptomatology is seemingly diverse, and involves a rough division between 'personal' and 'nonpersonal' tendencies. In the personal category are difficulties in understanding and interacting with other persons, socialisation, empathy and communication. In the non-personal category are difficulties in adaptability, occasional special abilities, and a wide range of peculiarities in learning, generalisation, pursuit of narrow interests, and so on. Some tendencies, such as peculiarities in the use of language, seem to span both categories. A central question in the theory of autism, therefore, is whether these two categories of impairment share a common pattern or character. It is true that received sets of diagnostic criteria (World Health Organisation 1993; American Psychiatric Association 1994), drawn from empirical observation, give the impression of a split syndrome in which non-personal and personal tendencies occur together but are different in nature. However, we cannot simply trust the language games which inform the presentation of these observations: as Wittgenstein repeatedly argued, forms of words and 'analogies in language' can have the effect of obscuring both similarities and differences between things (Peterson 1990). The main thesis of the present paper is that there does exist a pattern common to these two areas of impairment, in that both involve dilogical structures

Pseudo-random number generators and an improved steganographic algorithm

Steganography is the art and science of hiding secret information in a cover medium such that the presence of the hidden information cannot be detected. This thesis proposes a new method of steganography by cover modification in JPEG images. Essentially, the algorithm exercises LSB replacement using the definition for steganographic values from F5. After the nonzero quantized DCT coefficients of a cover image undergo a pseudorandom walk, the coefficients and the payload are split into an equal number of partitions and paired. Each coefficient partition is permuted again by the 1/P pseudo-random number generator until an optimal embedding efficiency for its corresponding payload is achieved. Using this method, we achieve a higher embedding efficiency than that of LSB replacement alone. We evaluate the detectability of our algorithm by creating a multi-classifier based on the output of multiple non-linear, soft-margin support vector machines trained on POMM features. We show that our algorithm performs nearly as well as the state-of-the-art nsF5 algorithm, and outperforms other state-of-the-art algorithms under most conditions

Survey of sixteen millimeter films available for seven business education subjects taught in high schools

Thesis (Ed.M.)--Boston University, 1946. This item was digitized by the Internet Archive

Strong Dollar, Weak Dollar - What Difference Does It Make to South Dakota Agriculture?

From time to time claims and editorials advocating a strong (or weak) dollar are seen. Depending on one’s point of view, either a strong (or weak) dollar is good for the country, international trade, agriculture, or employment. Often, claims are based on emotions or political philosophy. Equally often, the arguments presented contain poor logic or inconsistent data