Introduction: E-learning in medicine evolves over time. Students' opinions are the most important element of successful teaching. Therefore, we evaluated the opinions of participating students in the clinical toxicology department webinars. Materials & Methods: In a cross-sectional study, we asked from precipitating medical interns (29/2/2020-25/4/2020) to complete the web-based questionnaire after the clinical toxicology department webinars. They know that completion of the questionnaires had no effect on the student's assessment score. The questions were open-ended, multiple-choice and Likert (5 scores). The answers of openended questions were categorized by two researchers. Questions were about student gender, months of internship, appropriateness of class time, suggested best time to hold class, quality of audio and video of software, the rate of student participation in class, net disconnection, tools and place of participation in class, teaching quality and strengths and weaknesses of classes. Results: Ninety questionnaires were completed by 49 students after 12 class sessions. The participation rate in the sessions was 81. 72% ± 12. 99 and 68. 7% of the students completed the questionnaires. The average duration of the classes was 66. 8 ± 18. 36 minutes, which was longer than the suggested time by the students (42. 4 ± 16. 5 minutes, PV = 0. 005). 72. 2% of precipitants rated the quality of sound, image and software as medium to high. Half of the cases (55%) connected by mobile network. The rate of Internet disconnection was higher in extended classes. 81. 5% of the precipitants hold the class at home and 91. 5% of them used a smartphone. Conclusion: Considering the use of smartphone by majority of participants and the possibility of disconnection between teacher and student in the webinar, it is better to repeatedly summarize the important points, do not extend the class and use standard slides with few lines and words visible on the smartphone.

Objective(s): To evaluation of five free Medline versions, this study designed. Material & Methods: This research was a cross - sectional study in nature and conducted to evaluate the five famous Medline versions (BioMedNet, Dimidi, Infotrieve, Grateful Med and Pub med) that are available freely on the Internet. For this purpose 36 topics requested for searching at the information center of the university of Kerman medical sciences were searched in the title field. Results: The results were analyzed statistically by using paired t-test and repeated ANOVA. There was no significant difference in recall and precision between under studied versions in both types of natural and structural language searching. But in each version there was a significant difference in recall and precision between natural and structural language searching (P<0.05). Conclusion: Based on the results, natural language searching has the higher rate of real and precision compared to structural language searching.    

Medline is one of the valuable sources of medical information on internet. Medline is an electronic index in which retrieval of about 11,000,000 documents from 4300 medical journals in 30 languages is possible and on the average 8000 documents are being added to it every week (1). Now, free access to Medline is possible in more than 50 sites (2-3). The quality of searching, strategy of searching and considered limitations in searching, and the interval of up-dating vary from site. In regard to these differences, researchers are faced with this question that which sites of Medline can provide more accurate and faster information. Among different free sites of Medline, five sites of BioMed Net, Dimidi, infotrieve, GratefulMed and Plumbed are the most famous ones (4-6). In the present study two indices of retrieval and precision that are more important in the evaluation of sites have been investigated. Retrieval is the number of searched documents a part from the relation of document with subject (3-5). As previous studies have proved the effect of searching language on retrieval and precision (3-6), in this study searching was performed by natural language and control vocabulary searching.This cross-sectional study was carried out on five famous free sites of Medline on 2000. To evaluate these sites, retrieval and precision were determined and in order to control the probable effect of searching language evaluation was done by two natural language and control vocabulary searching. 36 researchers referring to the research information in Medline were selected and each of their re-question subjects (36 subjects) were searched in the five understudied sites once by the key words suggested by the researchers (natural language searching) and once by the key words determined based on subject (control vocabulary searching). The period of the searching was from 1990 to 2000. In control vocabulary searching, key words of researching subject were determined by using Mesh page in PubMed. Then searched documents were evaluated for their relation to the aimed subjects. Precision was calculated by dividing the number of related documents to the total searched documents. Data analysis was done by using paired Hest and Repeated ANOVA in SPSS soft ware. Evaluation of Researchers of Searched Documents in five Understudied Sites was shown in table. Based on the results of this study in both natural language and control vocabulary searching there was no significant difference among the five understudied sites in regard to the retrieval and precision. These results are in line with the results of Bonham (1988) study (3). Retrieval and precision of all five sites were significantly higher in nature language searching in comparison to control vocabulary searching (P<0/05).

Nowadays the use of statistical software is obvious to conduct scientific research. Select statistical software according to moral considerations requires payment of fees. In this paper investigates a number of free statistical software (Such: Dap, Dataplot, Gnumeric, MicrOsiris, OpenEpi, OpenStat, PAST, PSPP, R, Salstat, SOFA, SSP, Statist, Tanagra, WebStat, WinIDAMS). Legally use the software at no charge and the results are published. The results of this study show the advantage of statistical software (R) than other free programs by their ability to function, restriction and public acceptance in use for publication of research papers.

Community service order is considered as the most prominent example of community-based punishments, entered in 2013 into the Iranian Legal and judicial literature. Therefore, it was expected legislator by a set of comprehensive statutes that are far from multiple challenges, created a context for effectiveness of this new institution in line with achieving its main aim of reforming and reintegrating the perpetrator. Thus, the main question of the present article will be whether the set of statutes and rules and in accordance with the targets intended for community service order, so that it leads to the greater effectiveness of this concept? In this regard, the authors at first studied 150 related judicial decisions and identified the judges issuing them (purposive sampling) as the main actors in this study and the gathered the data afterwards by conducting semi-structured in-depth interviews gathered its data. The data indicated that there are legal challenges at the sentencing stage and subsequently after conviction. The research findings also show that Iran's macro-judicial policies related to community service order (reducing the punishment of Community Service Order as an alternative to imprisonment and considering it as a means to reduce prison population) were not commensurate with the inherent goals of this community-based punishment. And finally, it has paved the way for many challenges. This disproportionate targeting can be categorized into the following two classifications: “ Failure to identify actors in proportion to the nature of the punishment” , “ Failure to identify situations appropriate to the nature of the punishment” .