Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Hajar Sotudeh"'
Autor:
Parisa Keshani, Maryam Yaghtin, Hajar Sotudeh, Fatemeh Mohammadi-Nasrabadi, Hassan Joulaei, Mohammad Ali Mohsenpour
Publikováno v:
Journal of Nutrition and Food Security, Vol 9, Iss 4, Pp 773-787 (2024)
Food security in communities can prevent health complications, so investigators have made efforts to find its related factors through various fields. This study aims to draw a road map for nutrition and food security research in Iran. Methods: Web of
Externí odkaz:
https://doaj.org/article/777e4f6854fd452da0225195526053d8
Publikováno v:
پژوهشنامه علم سنجی, Vol 10, Iss (شماره 2، پاییز وزمستان), Pp 1-22 (2024)
Purpose: In recent decades, higher education has increasingly faced pressures to address real-world challenges in social, economic, environmental, and technological domains. The literature indicates that universities have expanded the traditional not
Externí odkaz:
https://doaj.org/article/432718112f61436aa4ad88139fb31f51
Publikováno v:
Iranian Journal of Information Processing & Management, Vol 39, Iss 2, Pp 699-727 (2023)
Introduction: The goal of evidence-based medicine is helping clinical professionals to obtain relevant and valid information to make appropriate clinical decisions. Therefore, to meet the information needs of health professionals, information retriev
Externí odkaz:
https://doaj.org/article/308fe944c5534e0399ebdff2653df967
Publikováno v:
Iranian Journal of Information Processing & Management, Vol 38, Iss 2, Pp 337-377 (2022)
Despite the novelty in methodologies, User behavior study based on brain activity during information-seeking stages has become popular among information science researchers. This paper reviews scientific publications in which information-seeking beha
Externí odkaz:
https://doaj.org/article/fd49238053934bb886d5fcec2c962b5e
Publikováno v:
تحقیقات اطلاعرسانی و کتابخانههای عمومی, Vol 28, Iss 2, Pp 54-68 (2022)
Purpose: Today, Collaborative information seeking behavior has been an issue of concern to many researchers and is considered necessary to meet the information needs and solve problems that are difficult and complex for individuals. The purpose of th
Externí odkaz:
https://doaj.org/article/72902942b9134775bd644d21d81be60a
Publikováno v:
علوم و فنون مدیریت اطلاعات, Vol 8, Iss 2, Pp 53-72 (2022)
Aim: This study aims to compare the researchers' views in two fields about the importance of criteria for submitting an article to the journal and the degree of thematic relevance of the proposed results of the RICeST Journal Finder.Methodology: The
Externí odkaz:
https://doaj.org/article/3fb38374a9f34c5a8fc7dfe097d3f36f
Publikováno v:
Iranian Journal of Information Processing & Management, Vol 37, Iss 1, Pp 305-329 (2021)
This study aimed to identify the main features of Open Access tweeted by Twitter users and to analyze their opinions about them. A sample of English tweets about Open Access was identified and analyzed using a quantitative content analysis method wit
Externí odkaz:
https://doaj.org/article/a8093683eca34258a4af70efaa9d58a5
Autor:
Atefeh kalantari, Abdolrasool Jowkar, Seyed Mostafa Fakhrahmad, Javad Abbaspour, Hajar Sotudeh, Massoud Mortazavi, Amir Javadi, Zahra Pourbahman
Publikováno v:
Iranian Journal of Information Processing & Management, Vol 36, Iss 2, Pp 563-592 (2020)
Keyword and phrase extraction is a prerequisite of many natural language processing tasks. However, a review on the related Persian and English literature showed that a few studies have already been done on how to extract keywords and phrases from Pe
Externí odkaz:
https://doaj.org/article/5288535648f44635a5d7ed8eb897c4ca
Publikováno v:
مدیریت اطلاعات سلامت, Vol 17, Iss 5, Pp 244-250 (2020)
Introduction: Scientific communities have always been concerned about validity of open-access articles. Given the challenges of quantitative citation analysis in evaluating scientific articles, content-based citation analysis, including opinion minin
Externí odkaz:
https://doaj.org/article/2de42abbc44540b6b1ad6b5574bb33c9
Publikováno v:
مدیریت اطلاعات سلامت, Vol 17, Iss 4, Pp 181-188 (2020)
Introduction: Meta-textuality can provide effective medium for facilitating information retrieval and machine learning. This study explored the strengths of two types of meta-texts (i.e., reviewers' comments and citation contexts) in correct classifi
Externí odkaz:
https://doaj.org/article/37a878b4ac054c908b4267f331ee2b41