This paper presents the problem within Hittite and Ancient Near Eastern studies of fragmented and damaged cuneiform texts, and proposes to use well-known text classification metrics, in combination with some facts about the structure of Hittite-language cuneiform texts, to help classify a number of fragments of clay cuneiform-script tablets into more complete texts. In particular, I propose usi...

The Alchian and Allen Theorem has been a popular staple of many economics classes since Armen Alchian and William Allen first introduced it in their well-known text University Economics. The theorem says that the addition of the same fixed cost to two similar goods will result in an increase of demand for the higher-priced, “higher quality” good relative to the lowerquality item. We review some...

In this paper, we explore a novel framework to generate a well-known text cloud visualization with the conceptual sense. The traditional text cloud is usually generated according to the word occurrence, possibly including the idf-based concept for word weight. The solution is applicable for the long articles. However, for a set of short sentences such as daily news titles, we cannot easily unde...

Classification and searching play an important role in modern file systems and file clustering is an effective approach to do this. This paper presents a new labeling system by making use of the Extended File Attributes [1] of file system, and a simple file clustering algorithm based on this labeling system is also introduced. By regarding attributes and attribute-value pairs as labels of files...

In this work, a new approach to vocabulary reduction is presented. It is based on filtering words in the topic feature space instead of directly in the original word space. The main goal is to analyze the differences between the application of the Cumulative Count-based word filter (fcc) in word feature space (BoW: Bag of Words) with respect to its application in topic descriptions (obtained by...

Many important well-known constants such as π and ζ(3) can be approximated by a truncated hypergeometric series. A modular algorithm based on rational number reconstruction was previously proposed to reduce space complexity of the well-known binary splitting algorithm [1]. In this paper, we examine some variations of this algorithm using Mersenne number moduli and Montgomery multiplication. Imp...

INTRODUCTION TO PLANT PATHOLOGY. New second edition By FREERICK DEFOREST HFEALD, Professor Emeritus of Plant Pathology, The State College of Washington. McGraw-Hill Publications in the Agricultural Sciences. 603 pages, 6 x 9, 246 illustrations, $4.00 In revising this well-known text, the author has retained his general plan of presenting a rounded, detailed introduction, in which the significan...

Implementing rules, constraints, and requirements contained in regulatory documents such as standards or guidelines constitutes a mandatory task for organizations and institutions across several domains. Due to the amount of domain-specific information and actions encoded in these documents, organizations often need to establish cooperations between several departments and consulting experts to...

This article presents a general method to use information retrieved from the Latent Dirichlet Allocation (LDA) topic model for Text Segmentation: Using topic assignments instead of words in two well-known Text Segmentation algorithms, namely TextTiling and C99, leads to significant improvements. Further, we introduce our own algorithm called TopicTiling, which is a simplified version of TextTil...