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This paper presents the first results of a comprehensive project on comparative Tibeto-Burman (TB) morpho-syntax. Data on morphological forms and typological patterns were collected from one hundred fifty-one languages and dialects in the TB family. For this paper the data were surveyed for nominal 'ergative' or agentive case marking (postpositions), in an attempt to determine if it would be possible to reconstruct an ergative case marker to Proto-Tibeto-Burman (PTB), and in so doing learn more about the nature of grammatical organization in PTB. Ablative, instrumental, genitive, locative, and other case forms were also surveyed for possible cognacy with ergative forms, as suggested in DeLancey 1984.
One of the most interesting domains of feedforward networks is the processing of sensor signals. There do exist some networks which extract most of the information by implementing the maximum entropy principle for Gaussian sources. This is done by transforming input patterns to the base of eigenvectors of the input autocorrelation matrix with the biggest eigenvalues. The basic building block of these networks is the linear neuron, learning with the Oja learning rule. Nevertheless, some researchers in pattern recognition theory claim that for pattern recognition and classification clustering transformations are needed which reduce the intra-class entropy. This leads to stable, reliable features and is implemented for Gaussian sources by a linear transformation using the eigenvectors with the smallest eigenvalues. In another paper (Brause 1992) it is shown that the basic building block for such a transformation can be implemented by a linear neuron using an Anti-Hebb rule and restricted weights. This paper shows the analog VLSI design for such a building block, using standard modules of multiplication and addition. The most tedious problem in this VLSI-application is the design of an analog vector normalization circuitry. It can be shown that the standard approaches of weight summation will not give the convergence to the eigenvectors for a proper feature transformation. To avoid this problem, our design differs significantly from the standard approaches by computing the real Euclidean norm. Keywords: minimum entropy, principal component analysis, VLSI, neural networks, surface approximation, cluster transformation, weight normalization circuit.
Speakers of various Southern german dialects may be heard to use two syntactic variants of subordinate clauses which are represented by the following Swabian examples: (1) daß er den net will komme lasse (2) daß er den net komme lasse will Of these two variants of the three-element verbal complex, only the non-dialect counterpart of (2) is accepted as standard modern written German: (3) daß er ihn nicht kommen lassen will In earlier periods of the German language, however, both variants were used by authors of written texts.
Classical mutagenesis
(1992)
Classical genetic analyses require the presence of at least two different alleles per locus. Until the mid 1920's for the different alleles the investigators had to rely on spontaneous mutations. Since then mutagenic agents (mutagens) became available and these discoveries greatly enhanced the power of genetic analyses. Mutation is defined here as a heritable chemical alteration within the gene or the mutation process bringing about the change. Mutant is the individual (cell) containing the mutation. Point mutations are assumed to be free of loss, gain or rearrangement within the nucleotide sequence. Fonvard mutations are changes from the wild type allele (the allele predominant in wild populations) to a new allele, and the reverse process is backmutation. The frequency o/mutation per locus per generation (mutation rate) must be distinguished from mutant frequency, indicating simply the number of mutants in a population. Mutation in the broad sense involves also hereditary changes in chromosome number (polyploidy and aneuploidy) and chromosome structure, visible through the light microscope. The latter types are frequently called chromosomal aberrations. Arabidopsis, without further qualifications, in this context, will refer to Arabidopsis thaliana (L.) Heynh. in its diploid form (2n = 10). This species has three genomes, the nuclear, plastidic and the mitochondrial. Its nuclear genome (n = 5) is the smallest among higher plants (Leutweiler et al., 1984), containing about 0.7 - 1 x 108 bp, and redundancy is very low (Meyerowitz and Pruitt, 1985). The plastid genome is about the same size as that of the mcYority of higher plants, ca. 150 kb. The size of the mitochondrial genome is ca. 400 kb. Arabidopsis is an excellent tool for genetics and its critical features and known mutants have been reviewed (R&Iei , 1970, 1975a,b; Kranz, 1978; Meyerowitz and Pruitt, 1984; Meyerowitz, 1987, 1989; Estelle and Somerville, 1986; Bowman et al., 1988).