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Research information databases and search engines are one of the main resources used by researchers every day. To accurately retrieve information from these databases, data need to be stored correctly. Manual controlling of data quality is costly and time consuming. Here we suggest data mining methods for controlling the quality of a research database. To this end, common errors that are seen in a database should be collected. Metadata of every record in addition to its error codes is saved in a dataset. Statistics and data mining methods are applied to this dataset and patterns of errors and their relationships are discovered. Here we considered Iran’s scientific information database (Ganj) as a case study. Experts defined 59 errors. Intimate features of every record, such as its subject, authors’ names and name of the university, with its error codes were saved in a dataset. The dataset containing 41021 records was formed. Statistics methods and association rules were applied to the dataset and the relationship between errors and their pattern of repetition were discovered. Based on our results, in average by considering 25% of errors in every subject, up to 80% of errors of all the records in a subject are covered. All the records were also clustered using K-means clustering. Although there was some similarity between records of different subjects, there was not seen any evident relationship between the pattern of repetition of the errors and the subject of records. [ABSTRACT FROM AUTHOR]

Introduction: To prevent and reduce injuries when using the facilities of parks, it is necessary to provide safe public spaces which have a great impact on various aspects of life quality and social sustainability of the city . Therefore, the purpose of this study is to investigate the safety of parks in the cities of Iran. Methods: This is a systematic review conducted through searching international databases of Scopus, PubMed, web of sciences, and local scientific databases including Civilica, SID, and Magiran and finally using Google search engine until August 2020 . The inclusion criteria included full articles in English and Farsi languages. Key words included "urban park", "playground", "safety" and "Iran". Also, other information obtained from these studies was analyzed using the collected questionnaires. Results: 21 studies met the inclusion criteria, the results of which showed safety indicators were weak to moderate in parks of the metropolitan areas . In the other cities, study indicators have been reported to be poor. Children's play equipment also did not fully comply with safety standards. Also, park lighting was not desirable and in terms of physical access, they were not designed to meet the needs of people with disabilities and children of all ages. Conclusion: According to the results of this study, to prevent the occurrence of injuries and damages caused by playing in parks, safety issues should be considered in environmental planning. It is recommended to pay attention to cases related to child safety, play equipment, health and environmental safety. [ABSTRACT FROM AUTHOR]

In this paper a new method for annotating images in Persian scientific documents is suggested. Images in scientific documents contain valuable information. In many cases, by analyzing images one can understand the main idea and important results of the document. Due to explosive growth of image data, automatic image annotation has attracted extensive attention and become one of the growing subjects in the literature. Image annotation is the first step in image retrieval methods, in which descriptive tags are assigned to each image. Here, for image annotation the associated text is used. The caption and the part of the document that includes the reference to the image are considered. None phrases in the associated text are ranked based on five different methods: term frequency, inverse document frequency, term frequency–inverse document frequency, cosine similarity between word embedding of noun phrases in the text and the caption and using both term frequency–inverse document frequency and cosine similarity methods. Image tags in every method are the noun phrases with the highest rank. Suggested methods are evaluated on the test data from Iran scientific information database (Ganj), the main database of Persian scientific documents. Term frequency–inverse document frequency method gives the best results. [ABSTRACT FROM AUTHOR]

Iran scientific information database (Ganj) which includes almost one million scientific records provides the search opportunity in dissertations, domestic scientific journals, articles, conferences, research projects, and governmental reports. A large number of researchers meet the needs of their scientific and research resources from Ganj database daily. Users’ needs and behaviors are variant and understanding it helps system administrators to use different strategies to manage the better databases and provide efficient services to users. One way to understand users’ needs is to cluster them based on their behavior and identify the features of each cluster. This study aims to cluster the users based on the analysis of their search behavior using the LRFM model. In this study, the search log data of Ganj users were collected for three months, the LRFM attributes were calculated, and then the K-means algorithm was applied to them. The optimal number of clusters was calculated based on different criteria. Based on customer value matrix the results of customer clustering users in four groups are efficient, suspicious, unreliable, and intermittent and based on customer loyalty Marcus users are categorized in loyal, potential, insecure and newcomers. [ABSTRACT FROM AUTHOR]

The purpose of this descriptive research was to identify hot and emerging topics in Biochemistry and Molecular Biology in Iran and to map the intellectual structure of this field in a ten-year period. The intellectual structure of the field of Biochemistry and Molecular Biology in Iran was studied by analyzing co-occurrences of keywords and cited references. The research population of this study was all research and review papers of Iranian researchers published in journals indexed by the Web of Science database from 2008 to 2017. The collected data from Web of Science were analyzed by the Cite Space Software in order to map the intellectual structure of this field. The results showed that the keywords such as gene expression, protein, in vitro, oxidative stress, binding, apoptosis and cell were among the hot research topics in Iran and terms such as chitosan, nanocomposite, antibacterial activity, dynamics molecules, stem cells, mesenchymal stem cells and immobilization have been indicative of the emerging topics in Iranian research in the studied time period. Increasing publications in the field of biochemistry and molecular biology in Iran at the international level and its inclusion in the country’s research priorities led us to conduct a scientometric study of this research area. Therefore, due to the hot and emerging topics identified in this research, such studies can be used as a road map for the country’s large-scale scientific planning and policy. [ABSTRACT FROM AUTHOR]

Figures in scientific documents are rich sources of information. The first step in retrieving information from such figures is to build a valid figure database. To this end, we developed a system for generating figure database from scholarly Persian documents, in large scale. The first step is to parse files and extract figures and their corresponding descriptions. There are two general approaches for extracting figures from documents. One is based on image processing methods and another is based on processing the file primitives. The focus of this paper is on latter one. This approach is shown to be a better choice for the search engines because of its speed and scalability properties. We propose a structure based method that extracts the figures and their descriptions by analyzing the file layout. This information is saved in a database with a specific structure and is indexed for retrieval in the search engine. The proposed algorithm was implemented in Python programming language. As a benchmark we used the basic method in the literature which is based on the processing PDF file. We employed the proposed method in a case study on Iran scientific information database (Ganj). In this regard, 150 scientific documents were randomly chosen from Ganj database and analyzed using two mentioned methods. Based on our experimental results, the proposed method is more efficient than the basic method especially for Persian documents. There are many unanswered challenges for Persian documents when using the basic method. The number of noise images resulted from the basic method is high and Persian text extracted is not well organized. Our proposed method overcomes some of these drawbacks and is recommended for generating figure database from scientific Persian documents. The proposed method is able to correctly extract about 40% of the images with their corresponding descriptions which is 10% better than the basic method. [ABSTRACT FROM AUTHOR]

The increasing growth of web usage has made the importance of search engines and their quality assessment more responsive to users’ needs. One of the approaches to quality assessment is user satisfaction. The use of a search engine depends on user satisfaction, which is a measure of the quality of the search engine. Many search engines have been built in Iran. Some of these engines are widely used in searching information on the web, and some are found in a database. Iran scientific information database (Ganj) is one of the databases that has its own search engine. It contains nearly 530,000 dissertations and thesis and is one of the key scientific databases in the country with many users. Assessing the satisfaction of users of this system with its broad audience is crucial. In this research, indicators based on E-Qual model were developed to evaluate users’ satisfaction with Ganj System. Indices developed based on the Delphi method were screened and localized to assess users’ satisfaction with Ganj System. User satisfaction was also assessed using an E-Qual questionnaire. The results of the data analysis of the 156 questionnaires collected show that usability, information, and service interaction are the significant determinants of users’ satisfaction with Ganj system, respectively. In terms of usability, the ease of working with Ganj is a top priority. Likewise, the ease of interaction with the system and the apparent attractiveness of the system were introduced as the main factors. [ABSTRACT FROM AUTHOR]

Background and Objective: Environmental burden of disease (EBD) studies are one of the most important needs for determining the current situation, increasing the effectiveness of health policies and programs and prioritizing environmental health interventions. This review article was evaluated the status of the EBD in Iran based on the results of the latest Global Burden of Disease (GBD) Study, other international studies and national estimates in the country. Materials and Methods: In this study, the researches on the EBD in Iran were identified by searching in the international and national scientific databases and the search results were studied and analyzed. Results: The review of the EBD studies showed that based on the results of the GBD study, the share of environmental risk factors in the total burden of diseases in the country in 2017 according to the disability-adjusted life years (DALYs) and deaths were about 8 and 13%, respectively. According to the results of the GBD study, the contributions of environmental risk factors in the attributable DALYs in the country in 2017 (a total value of 1,648,329) were as follows: ambient air PM2.5 for 45.0%, occupational risk factors for 25.1%, exposure to lead for 19.4%, unsafe water source for 5.0%, tropospheric ozone for 1.7%, lack of access to handwashing facility for 1.5%, unsafe sanitation for 1.4%, residential radon for 0.6%, and household air pollution from solid fuels for 0.3%. The total DALY rate and death rate attributable to solar ultraviolet radiation in Iran in 2000 were estimated to be 46.2 and 0.7, respectively. The DALY and the DALY rate attributable to elevated levels of fluoride in drinking water due to dental fluorosis in the country in 2017 were 3,443 and 4.14, respectively. The evaluation of the effect of water fluoridation as an environmental protective factor showed that the intervention by reducing the risk of dental caries could fall the DALY and DALY rates in the country by 14,971 and 18.73, respectively. In the period of 2005-2017, the DALY rate (per 100,000 people) attributable to ambient air PM2.5, tropospheric ozone, residential radon, and occupational risk factors rose that the result increases the importance of the preventive measures and controls of these risk factors. Conclusion: There was a considerable difference in the burden of disease attributed to each risk factor in various international studies as well as between national and international studies. The results of national studies on the burden of diseases attributable to environmental risk factors are considered to be more reliable and practical due to the application of more detailed data and conducting subnational evaluations; therefore, the strengthening and continuing these studies at the national and sub-national levels with regard to priorities, needs, and spatiotemporal trends using domestic reliable data and information are necessary and strictly recommended. [ABSTRACT FROM AUTHOR]