Abstract: The present invention relates to an ethylene polymer and a process for preparing the same, wherein the ethylene polymer has an average particle size of 50-3000 ?m, a bulk density of 0.28-0.55 g/cm3, a true density of 0.930-0.980 g/cm3, a melt index at a load of 2.16 Kg at 190° C. of 0.01-2500 g/10 min, a crystallinity of 30-90%, a melting point of 105-147° C., a comonomer molar insertion rate of 0.01-5 mol %, a weight-average molecular weight of 2×104 g/mol-40×104 g/mol, and a molecular weight distribution of 1.8-10. In the preparation process, raw materials containing ethylene, hydrogen gas and a comonomer are subjected to a tank-type slurry polymerization with an alkane solvent having a boiling point of 5-55° C. or a mixed alkane solvent having a saturated vapor pressure of 20-150 KPa at 20° C. as the polymerization solvent in the presence of a polyethylene catalytic system, at the molar ratio of hydrogen gas to ethylene of 0.01-20:1, preferably 0.

Abstract: Roughly described, a database searching method for searching a database, in which hits are ranked in dependence upon an information measure of itoms shared by both the hit and the query. The information measure can be a Shannon information score, or another measure which indicates the information value of the shared itoms. An itom can be a word or other token, or a multi-word phrase, and can overlap with each other. Synonyms can be substituted for itoms in the query, with the information measure of substituted itoms being derated in accordance with a predetermined measure of the synonyms' similarity. Indirect searching methods are described in which hit from other search engines are re-ranked in dependence upon the information measures of shared itoms. Structured and completely unstructured databases may be searched, with hits being demarcated dynamically. Hits may be clustered based upon distances in an information-measure-weighted distance space.

Abstract: Roughly described, a database searching method for searching a database, in which hits are ranked in dependence upon an information measure of itoms shared by both the hit and the query. The information measure can be a Shannon information score, or another measure which indicates the information value of the shared itoms. An itom can be a word or other token, or a multi-word phrase, and can overlap with each other. Synonyms can be substituted for itoms in the query, with the information measure of substituted itoms being derated in accordance with a predetermined measure of the synonyms' similarity. Indirect searching methods are described in which hit from other search engines are re-ranked in dependence upon the information measures of shared itoms. Structured and completely unstructured databases may be searched, with hits being demarcated dynamically. Hits may be clustered based upon distances in an information-measure-weighted distance space.