Abstract: The present invention provides a heterocyclic compound having an orexin type 2 receptor agonist activity. A compound represented by the formula (I): wherein each symbol is as described in the specification, or a salt thereof has an orexin type 2 receptor agonist activity, and is useful as an agent for the prophylaxis or treatment of narcolepsy.

Abstract: The present invention is directed to an irinotecan acid addition salt which is formed through addition of an acid selected from the group consisting of sulfuric acid, nitric acid, phosphoric acid, methanesulfonic acid, citric acid, maleic acid, and succinic acid to irinotecan, to a method for producing the salt, and to a pharmaceutical composition containing the salt. The addition salt requires no heating process during drug preparation and provides an aqueous drug product in which the salt is stably dissolved.

Abstract: The present invention is directed to an irinotecan acid addition salt which is formed through addition of an acid selected from the group consisting of sulfuric acid, nitric acid phosphoric acid, methanesulfonic acid, citric acid maleic acid and succinic acid to Irinotecan, to a method for producing the salt, and to a pharmaceutical composition containing the salt. The addition salt requires no heating process during drug preparation and provides an aqueous drug product in which the salt is stably dissolved.

Abstract: A thrombolytic peptide composed of 136 amino acids residues, which has little problems of antigenicity and is efficacious in only small doses as compared with staphylokinase (SAK). This peptide is obtained by cleaving amino acids or peptides which do not affect the activity of SAK by using a trypsin protease. In particular, SAK-11, which is obtained by cleaving a peptide composed of ten amino acid residues at the N-terminal of SAK, is superior to SAK in the fibrinolysis, plasminogen activation, and fibrin specificity.

Abstract: A computerized method and system for reducing the number of false-positive detections of nodule candidates in the detection of abnormalities in digital chest radiography. The image is initially subjected to an image difference technique where the detection sensitivity is increased so as to avoid missing small nodules which might otherwise go undetected. Such a technique tends to increase the number of false-positives, however, leading to possible incorrect diagnoses of the radiographs. To reduce the number of false-positives, feature extraction techniques are applied to grown regions around the nodule candidates, in order to provide computer generated information concerning the candidates. A data base of parameters common to false-positives is compared to calculated parameters of a candidate of interest. The candidates with grown region parameters within the data base range common to false-positives are eliminated as being probable false-positive detections due to normal background anatomical features.