In the literature, two main categories of methods have been proposed for bilingual lexicon extraction from comparable corpora, namely topic model and context based methods. In this paper, we present a bilingual lexicon extraction system that is based on a novel combination of these two methods in an iterative process. Our system does not rely on any prior knowledge and the performance can be it...

niosomes are non-ionic surfactant vesicles that have potential applications in the delivery of hydrophilic and hydrophobic drugs. the topical form of n-acetyl glucosamine (nag) recently has been considered in the treatment of hyperpigmentation disorders due to its inhibitory effect on thyrosinase enzymes in melanocytes. to improve nag penetration into the skin we formulated the drug in niosomes...

pterygium is characterized by an elastic degeneration of the conjunctiva that extends across the limbos and invades the cornea. the recurrence rate is varied from 25-80% after primary closure to 6% with free conjunctival and iimbal grafts. several adjunctive therapies have been investigated for recurrent pte¬rygium. this article presents a 52-year-old athletic man who was seen for evaluation of...

Abstract Haiti’s groundwater resources are poorly understood and scarcely researched, despite their importance as the principal source for water supply. The knowledge gap its role of inhibiting informed relief, recovery investments in development described, along with an update on progress towards UN Sustainable Development Goals. This essay leads a topical collection seven articles that advanc...

Heenam Seo, Seoung Yeon Song, Dahye Kim, Ji Hwan Park, Yoonho Shin, Kang Hyuk Lee, Soo An Choi, Ju-Yeun Do Young Wan Gyoon and Eunyoung Kim. Korean J Clin Pharm 2022;32:84-92. https://doi.org/10.24304/kjcp.2022.32.2.84

Entity Disambiguation aims to link mentions of ambiguous entities to a knowledge base (e.g., Wikipedia). Modeling topical coherence is crucial for this task based on the assumption that information from the same semantic context tends to belong to the same topic. This paper presents a novel deep semantic relatedness model (DSRM) based on deep neural networks (DNN) and semantic knowledge graphs ...

OBJECTIVES To assess knowledge, attitudes, and practices of primary care physicians (PCPs) toward topical corticosteroids (TCs). Methods: A cross-sectional, 53-item questionnaire based study on TCs was conducted among PCPs in Riyadh, Kingdom of Saudi Arabia between January and March 2015. A maximum score of 30 was calculated for the knowledge portion. Results: Out of 420 PCPs, 336 responded (80...

Background knowledge has been actively investigated as a possible means to improve performance of machine learning algorithms. Research has shown that background knowledge plays an especially critical role in three atypical text categorization tasks: short-text classification, limited labeled data, and non-topical classification. This chapter explores the use of machine learning for non-hierarc...