The Role of the Iranian Library and Information Science Association in the Informal Education of Librarians

This article reports on a survey of librarians on their view of the role of the Iranian Library and Information Science Association in informal education of librarians. The survey uses a descriptive-analytical approach with categorized sampling of two groups of members in Tehran and Khorasan. The results show that the association is successful in holding informal training programs for librarians. The T test indicates no significant difference between librarians in Tehran and in Khorasan except in two factors. The difference is shown in positive effect on job evaluation, and suitability of scheduled dates, date of monthly seminars, and level of education. The F test shows no significant difference between member categories except in three factors. The difference is in the suitability of subjects, the number of librarians attending, and the factor of history of the association

Development of accommodation models for soldiers in vehicles: driver

Data from a previous study of soldier posture and position were analyzed to develop statistical models to define accommodation in driver and squad seating positions in military vehicles. Using methods previously developed for automotive applications, new models were created for seating accommodation, eye location, head (helmet) clearance, knee clearance, and torso clearance. The resulting models are applicable to driver positions with a fixed heel point and a range of steering wheel locations typical of tactical vehicles. The models were developed based on driver posture data but could be used for other front seat environments (e.g., commander position) with certain assumptions. All of the models include the effects of body armor and body borne gear.US Army Tank Automotive Research, Development, and Engineering Center (TARDEC)http://deepblue.lib.umich.edu/bitstream/2027.42/112059/1/103197.pd

Development of accommodation models for soldiers in vehicles: squad

Data from a previous study of Soldier posture and position were analyzed to develop statistical models to define accommodation in squad seating positions in military ground vehicles. Using methods previously developed for automotive applications, new models were created for eye location, head (helmet) contour, and knee contour for Soldiers in fixed seats. The models are applicable to a range of seat height and seat back angle. All of the models include the effects of body armor and body borne gear.US Army Tank Automotive Research, Development, and Engineering Centerhttp://deepblue.lib.umich.edu/bitstream/2027.42/120917/1/103244.pdf-1Description of 103244.pdf : Final repor

Tensorial Data Modeling and Analysis for Manufacturing Process Quality Control Using Sensor Data

One of the main engines driving the new era of industrial data analytics is advanced sensing technologies and distributed computing. Although a vast amount of data can be garnered with the aid of these sensing and computing technologies, several challenges aggravating the data analysis arise at the same time. One important question to pose is how to develop the new data analysis and modeling methodologies that can be applied to the new set of complex datasets containing functional and tensorial data as instances moving away from the conventional data structures. The objective of this dissertation is to study and address three major challenges typically occurring when working with complex multi-stream and functional sensing data. First, while the classical data analysis tools are designed to work with single-sensor data represented by matrices or vectors, sometimes the multisensory data are more efficiently represented by high-order arrays to preserve the original structure of the data. A dataset is said to have a multi-stream structure, meaning that it contains more than two informative dimensions. In Chapter 2 of this dissertation, a high-order-based monitoring method is suggested for monitoring a tensorial dataset of tool wear measurements. In addition to achieving high monitoring performance, the developed tensor-based chart is capable of providing correlation pattern analysis. This is useful in discerning assignable causes of unusual patterns of tool wear to enhance the process diagnosis ability. The second challenge addressed in this dissertation is to deal with outlier observations that are inevitable when collecting sensor data. Chapter 3 develops a new robust decomposition method that can handle the outlier observations. The critical point in this study is that the proposed method is the first decomposition technique considering both correlated noise components and outlier observations. The correlated noise can be seen in time series, longitudinal and image data. The chapter starts with developing a robust low-order matrix decomposition method, and it proceeds to extending the concepts and mathematical formulas to a high-order tensor setting. The method is applied to a dataset with the purpose of surface defect monitoring using real billet images taken from a hot rolling process. The third challenge studied in this dissertation is how to find a mathematical relationship between a quality response variable and some process variables that are not necessarily scalar or functional. Indeed, some of the predictors are in the form of tensors in addition to the regular functional or scalar predictors. The challenge is how to estimate the parameters of such general regression models. Chapter 4 focuses on developing a flexible yet parsimonious model for predicting scalar response variable utilizing some tensorial and functional predictors. The developed model is called functional linear regression with tensorial predictor (FLRTP). The advantage of this methodology compared to classical functional data analysis and linear regression methods is that it can handle both functional and tensorial predictors without performing vectorization on the tensorial predictors. This is helpful since the multi-stream structure of the predictor is preserved and the number of parameters to be estimated is kept at a reasonable amount. The performance of all methods is evaluated using simulation and real-world studies.PHDIndustrial & Operations EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/138580/1/yzereh_1.pd

Identifying Components Of Information Visualization Related To User Xperience In the Digital Library

The purpose of this study is to identify the components of information illustration related to user experience in the digital library of Allameh Tabatabai University. The research method is thinking aloud protocol and with a qualitative approach. The study population was undergraduate, graduate and doctoral students who were purposefully selected as a sample population of 30 people. Data collection was performed using Morae software, face-to-face observation, researcher's notebook and users' audio files. Findings show that elements such as fonts, color combinations, graphic images and their placement and arrangement in library pages have been of interest to users. Problems include not knowing how to use advanced search, as well as the use of a number of image icons. Based on the evidence, elements such as fonts, color combinations, graphic images, and their placement on page have been important to users. Users considered the suggestion of using animated visual symbols to be necessary to make the appearance attractive and facilitate users' information-seeking behavior, which to a large extent overlaps with and is in line with the principles and basis of information visualization. In this way, the use of eye-catching tools such as blinking characters, in turn, can play a key role in identifying important parts. Using fewer visual elements on the front page to increase the focus of the front page, using navigation features on the search page, and displaying a sequence of retrieved records on the results page were some of the common points that users mentioned

Analysis of Information Seeking Behavior Research Trends in Iran

This study explored its research trends by examining Iran's methods, contexts, and theories of information behavior research. This study is applied research regarding objectives and a content analysis regarding methodology. The research population consisted of 325 studies on information behavior. A researcher-made checklist was used to collect data, the validity of which was confirmed by experts. According to the researcher-made checklist, 325 data were analyzed based on the variables of each section. Data analysis was performed using descriptive statistics and SPSS software (version 22). The results indicated the dominance of the quantitative approach and, consequently, the application of statistical analysis tools and methods related to this approach in relevant studies. In addition, most investigations were practical in this field, and therefore, fewer theoretical-philosophical studies and, in other words, fundamental research have been addressed in this field. There is no diversity in studies methodologically, and most of the reviewed studies, while referring to influential research in this field in their backgrounds, do not pay attention to their methodologies. Most of the research works are copies of previous studies conducted using quantitative, applied, and survey methods, and the desired population has changed only in some cases. Moreover, the scope of disciplines and specialties involved in the research production and studies reflects the interdisciplinary nature of this field with emphasis on knowledge and information science. The approach of information behavior research is expanding in various contexts with the presence of different types of users. However, it seems that the information behavior of the general public is less considered, and new studies are required in this regard. Research and studies conducted on information behavior in Iran have mainly considered the international models in this field, and some studies have even attempted to modify them. Few researchers have also proposed new models in this field, some of which have been published in international papers

High Sensitive CRP in Behcet Disease With and Without Uveitis Compared With Idiopathic Uveitis: A Cross-Sectional Study

Background: Uveitis is one of the important manifestations of Behcet disease (BD). High sensitive C-reactive protein (hs-CRP) is an acute phase reactant, which may increase in BD. There are controversies in different studies regarding the relation between hs-CRP and uveitis in BD. This study aimed to determine serum values of hs-CRP and its relationship with uveitis in BD. Methods: A total of 94 patients, divided into 3 groups (Behcet"s uveitis (n = 31), Behcet"s without uveitis (n = 37) and idiopathic uveitis (n = 26), participated in the study. Serum levels of hs-CRP were compared among those groups. Result: The mean serum hs-CRP level was 6.49 ± 3.27 mg/L (BD with uveitis), 6.41 ± 3.85 mg/L (BD without uveitis) and 6.97±3.9 mg/L (idiopathic uveitis. Tukey test was done among groups and there were no significant differences between them (P = 0.69). Conclusion: Our results revealed no significant difference among the 3 groups regarding the mean serum hs-CRP level. However, further studies are warranted in this regard

Information Literacy Learning Environment of Primary Schools in Iran: An Exploratory Study

This study aims to identify the characteristics of the information literacy learning environment (ILLE) for primary school students in Iran. This research was done by qualitative method and using content analysis. The statistical population was divided into two parts: 1) literature related to the INTE and 2) experts in the field of Information Literacy (IL). A researcher-made checklist was used to collect information in the first part, which was exploratory. The data collection tool from the second part of the community was the Delphi panel questionnaire, which was implemented in two stages. The results showed that ILLE has four dimensions for primary school students in Iran: educator, school library, classroom space, and educational resources. Considering these dimensions, categories, and sub-categories, it can be expected that a suitable environment will be provided for implementing IL programs in primary schools in Iran. Training administrators, curriculum developers, and information literacy educators can use this study's findings to improve ILLE to develop students with information literacy skills. This study is the first comprehensive study conducted in Iran that sought to identify the ILLE for primary school students. The findings are useful in providing a suitable environment for IL within schools in Iran and other countries

Identifying Components Of Information Visualization Related To User Xperience In the Digital Library

The purpose of this study is to identify the components of information illustration related to user experience in the digital library of Allameh Tabatabai University. The research method is thinking aloud protocol and with a qualitative approach. The study population was undergraduate, graduate and doctoral students who were purposefully selected as a sample population of 30 people. Data collection was performed using Morae software, face-to-face observation, researcher's notebook and users' audio files.Findings show that elements such as fonts, color combinations, graphic images and their placement and arrangement in library pages have been of interest to users. Problems include not knowing how to use advanced search, as well as the use of a number of image icons. Based on the evidence, elements such as fonts, color combinations, graphic images, and their placement on page have been important to users. Users considered the suggestion of using animated visual symbols to be necessary to make the appearance attractive and facilitate users' information-seeking behavior, which to a large extent overlaps with and is in line with the principles and basis of information visualization. In this way, the use of eye-catching tools such as blinking characters, in turn, can play a key role in identifying important parts. Using fewer visual elements on the front page to increase the focus of the front page, using navigation features on the search page, and displaying a sequence of retrieved records on the results page were some of the common points that users mentioned