Persian Keyphrase Generation Using Sequence-to-Sequence Models

Keyphrases are a very short summary of an input text and provide the main subjects discussed in the text. Keyphrase extraction is a useful upstream task and can be used in various natural language processing problems, for example, text summarization and information retrieval, to name a few. However, not all the keyphrases are explicitly mentioned in the body of the text. In real-world examples there are always some topics that are discussed implicitly. Extracting such keyphrases requires a generative approach, which is adopted here. In this paper, we try to tackle the problem of keyphrase generation and extraction from news articles using deep sequence-to-sequence models. These models significantly outperform the conventional methods such as Topic Rank, KPMiner, and KEA in the task of keyphrase extraction

Iranian infertile couples' strategies to manage social interactions after unsuccessful treatments with assisted reproductive technologies

Many infertile couples feel vulnerable after failed treatment cycles and find insensitive remarks or inappropriate support distressing. They fear that the stress of failed treatment cycles may affect their marriage and lead to marriage breakdown. This study explored the strategies a sample of infertile couples used to manage social interactions after unsuccessful treatment with assisted reproductive technologies. A descriptive qualitative study was conducted with 34 participants including nine infertile couples, nine infertile women and two infertile men with primary infertility, two relatives, and three fertility clinic staff. The participants were selected through purposive sampling at an infertility centre in Iran, between 2016 and 2017. Data were collected using semi-structured face-to-face interviews and analysed by qualitative content analysis approach. Participants found some social interactions after failed assisted reproductive treatment cycles to be distressing and painful. They described tolerating painful emotions which cause them sadness and sorrow as well as feeling embarrassed. As a result, they found they needed to maintain their adopting concealment strategies with their families through not permitting speculation, selective disclosure, not giving details and hiding the truth. This study showed that social interactions following failed assisted reproductive cycles can be upsetting for infertile couples. Couples use different strategies to manage potentially distressing social interactions. Healthcare providers and psychologists may provide a space for safe social interactions in order to help couples to use appropriate strategies in these circumstances

Privacy Policy Ontology

Government regulations increasingly require mobile and web-based application (app) companies to standardize their data practices concerning the collection, use, and sharing of various types of information. A summary of these practices are communicated to users through online privacy policies. The challenge of acquiring requirements from data practice descriptions, however, is that privacy policies often contain ambiguities. Abstract and ambiguous terminology in requirements statements concerning information types (e.g., "we collect your device information"), can reduce shared understanding among app developers, policy writers, and users. To address this challenge, we propose a syntax-driven method that first parses a given information type phrase (e.g. mobile device identifier) into its constituents using a context-free grammar and second infers semantic relationships between constituents using semantic rules. The inferred semantic relationships between a given phrase and its constituents generate a hierarchy that models the generality and ambiguity of phrases. Through this method, we infer relations from a lexicon consisting of a set of information type phrases to populate a partial ontology. The resulting ontology is a knowledge graph that can be used to guide requirements authors in the selection of the most appropriate information type terms. We evaluate the method’s performance using two criteria: (1) expert assessment of relations between information types; and (2) non-expert preferences for relations between information types. The results suggest performance improvement when compared to a previously proposed method. We also evaluate the reliability of the method considering the information types extracted from different data practices (e.g., collection, usage, sharing, etc.) in privacy policies for mobile or web-based apps in various app domains. This data repository contains lexicons and ontologies that we used to construct and evaluate our method

Management Science Letters A study on relationship of brand characteristics and customer satisfaction with brand loyalty

Brands are considered as valuable assets of a company both economically and strategically. Thus, having customers who are loyal to a brand is one of the main goals of businesses companies. Identifying and anticipating the customers' needs are vital to the enterprises gaining competitive advantage and market segmentation. Maintaining and enforcing customers' loyalty is a strategic challenge for companies seeking to keep and promote their competitive status in the market. High brand loyalty of the customers generates competitive advantage for the company and it increases the income and decreases the costs of marketing. In addition to increasing the market share, loyalty allows to ask for higher prices compared with its competitors. This study seeks to investigate the factors influencing customer loyalty to sport brands. The statistical population of this research was Tehran city. Using simple cluster sampling, 502 customers of four known brand sports, i.e. Nike, Puma, Adidas, Reebok, and Fila were chosen. Furthermore, a questionnaire, which assessed seven variables including reputations, brand name, brand image, brand loyalty, customer satisfaction, promotion and the price was used and the hypotheses were analyzed using statistical tests such as KolmogorovSmirnov test (K-S test), Spearman correlation, simultaneous linear regression and binomial test. The findings suggested that the brand name has a strong correlation with brand loyalty. Moreover, variables such as reputation, brand image, customer satisfaction, price and promotions also have positive and significant effect on the brand loyalty

Morphological and Genetic Characteristics of the Liver Hydatid Cyst of a Donkey with Iran Origin

Background: No data is available on morphology and genetic characteristics of Echinococcus granulosus derived from donkeys of Iran, despite of its existence in donkeys.In the present study morphometric variations of the rostellar hooks of protoscoleces and genotype characteristics of hydatid cyst of donkey from Iran were determined. Methods: Protoscoleces prepared from hydatid cyst of donkey of Iran were morphometric and genetic analyzed. The genetic analysis was done using Cox 1 gene by comparative sequence analysis. Results: Our morphometric results showed that donkey of Iran shares 6 out of 7 determined parameters with donkeys of Jordan and 4 out of 7 with 4 available data with Switzerland donkeys. Morphological similarities and dissimilarities were observed with sheep-dog (G1) and camel-dog strains (G6) of Iran. The nucleotide sequence alignment showed that the partial sequence of Cox 1 from donkey had 91% homology with query coverage of 99% to the corresponding sequence of E.equinus, 90% homology to the E. felidis, 90% homology to E. ortleppi, 89% homology to the E. shiquinus, 89% homology to the E. vogeli, 89% homology to the E. oligarthrus, 88% homology to the E. canadensis and 83% homology to the Taenia solium.Additionally, the amino acid sequence of this gene has also some differences between this strain and all known strains of E. granulosus even with E. equinus (G4). Conclusion: Despite of common morphological characteristics of Iranian donkey hydatid cyst with those of donkeys of other parts of the world, genetically it has its. own entity