Information Needs: Developing Personas of Humanities Scholars

A persona represents a group of target users that share common behavioural characteristics. The personas method, an approach to systems design, has been receiving significant attention from practitioners. However, only anecdotal evidence currently exists for the effectiveness of personas and there have been criticisms about its validity as a scientific approach to research. This paper attempts to demonstrate how incorporating personas may lead to better understand the information needs of humanities scholars. Humanities scholars in an advanced ICT environment in the Hashemite Kingdom of Jordan are sampled as a case. Previous studies show that the humanities scholars have a significant negative relation with ICT use; they are using it less than scientists and social scientists, and they demonstrate a significantly higher use of library facilities than other academics. There is also a lack of up-to-date international research on the humanities scholars' information needs that takes into account recent rapid increases in the availability of ICT infrastructure, especially the Internet. As such, the objective of this study is to understand the information needs of humanities scholars and the effect of the electronic environment on their information seeking behaviour using personas. This study is conducted within a conceptual framework based on an integration of existing models of information-seeking behaviour, along with additional new elements representing the information context environment, such as languages, decision to seek and format of information resources. The four personas that were uncovered in this study may be able to effectively communicate the actual information needs of the humanities scholars through the personal narrative, name, and face, which continuously will remind the academic library of what their users really want and need from their services. This study also lays the foundation for future research by identifying variables of interest, and building construct validity through the themes of information needs that emerged.     

Defending recommender systems by influence analysis

Collaborative filtering (CF) is a popular method for personalizing product recommendations for e-commerce applications. In order to recommend a product to a user and predict that user’s preference, CF utilizes product evaluation ratings of like-minded users. The process of finding like-minded users forms a social network among all users and each link between two users represents an implicit connection between them. Users having more connections with others are the most influential users. Attacking recommender systems is a new issue for these systems. Here, an attacker tries to manipulate a recommender system in order to change the recommendation output according to her wish. If an attacker succeeds, her profile is used over and over again by the recommender system, making her an influential user. In this study, we applied the established attack detection methods to the influential users, instead of the whole user set, to improve their attack detection performance. Experiments were conducted using the same settings previously used to test the established methods. The results showed that the proposed influence-based method had better detection performance and improved the stability of a recommender system for most attack scenarios. It performed considerably better than established detection methods for attacks that inserted low numbers of attack profiles (20–25 %).     

Deformability-based circulating tumor cell separation with conical-shaped microfilters: Concept,optimization, and design criteria

Circulating tumor cells (CTCs) separation technology has made positive impacts on cancer science in many aspects. The ability of detecting and separating CTCs can play a key role in early cancer detection and treatment. In recent years, there has been growing interest in using deformability-based CTC separation microfilters due to their simplicity and low cost. Most of the previous studies in this area are mainly based on experimental work. Although experimental research provides useful insights in designing CTC separation devices, there is still a lack of design guidelines based on fundamental understandings of the cell separation process in the filters. While experimental efforts face challenges, especially microfabrication difficulties, we adopt numerical simulation here to study conical-shaped microfilters using deformability difference between CTCs and blood cells for the separation process. We use the liquid drop model for modeling a CTC passing through such microfilters. The accuracy of the model in predicting the pressure signature of the system is validated by comparing it with previous experiments. Pressure-deformability analysis of the cell going through the channel is then carried out in detail in order to better understand how a CTC behaves throughout the filtration process. Different system design criteria such as system throughput and unclogging of the system are discussed. Specifically, pressure behavior under different system throughput is analyzed. Regarding the unclogging issue, we define pressure ratio as a key parameter representing the ability to overcome clogging in such CTC separation devices and investigate the effect of conical angle on the optimum pressure ratio. Finally, the effect of unclogging applied pressure on the system performance is examined. Our study provides detailed understandings of the cell separation process and its characteristics, which can be used for developing more efficient CTC separation devices.     

Trait emotional intelligence and learning styles: the case of Iranian English for Academic Purposes learners

Although a large body of research has been dedicated to examining emotional intelligence (EI) and learning styles in relation to different factors in academic setting, the relationship between these two variables still necessitates more exploration and deeper study, especially in the Iranian context. To this end, 60 English for Academic Purposes (EAP) learners were recruited to fill out the Farsi version of Emotional Intelligence Scale (FEIS-41) and Paragon Learning Styles Inventory (PLSI). The results revealed that the participants achieved the highest score in Optimism/Mood Regulation sub-scale of the FEIS-41. With respect to the four dimensions of PLSI, Sensing, Feeling, Judging and Extrovert were the participants’ preferred learning styles, respectively. Besides, analysis of data illustrated that gender did not affect their EI and learning styles preferences. Furthermore, the significance of 9 out of 12 computed correlations between three sub-skills of FEIS-41 and four dimensions of PLSI indicated the existence of correlation between EI and learning styles preferences of Iranian EAP learners.     

An exploration of EFL teachers’ attributions

The present study investigated English as a foreign language (EFL) teachers’ attributions of success and failure. It also set out to investigate whether these attributions vary by teachers’ age, teaching experience, gender and educational level. To do so, 200 EFL teachers were selected according to convenience sampling among EFL teachers teaching English in Language Institutes in Mashhad and Tehran, two cities in Iran. The participants completed the language teacher attribution scale measuring four attributions: teaching competency (TC), teacher effort (TE), student effort (SE) and institution supervision (IS). The present study yielded mixed results regarding English language teachers’ attributions of success and failure events. It was also found that these attributions vary by their age, teaching experience and educational level, but not by gender. The discussion and implications of the research are further presented with reference to the earlier findings.     

A novel controller for nonlinear uncertain systems using a combination of SDRE and function approximation technique: Regulation and tracking of flexible-joint manipulators

This paper presents a novel combined State Dependent Riccati Equation (SDRE) / Function Approximation Technique (FAT)-based control design for nonlinear uncertain systems. The SDRE is employed to construct an optimal controller and the function approximation technique is utilized to estimate time-varying disturbances and uncertainties. Moreover, a robust term in the proposed control law compensates for the truncation error. The closed-loop stability and boundedness of the tracking error and FAT weights approximation error are proved in the sense of Lyapunov, with consideration of truncation error. Due to the great importance of the adequate performance of transient response from practical point of view, performance evaluation has been accomplished. The proposed scheme is computationally simple due to utilizing the FAT to represent uncertainties and disturbances as a function of time. Compared with the SDRE based SMC, the proposed controller is superior in terms of capability to track a fast and highly complicated trajectory and no need to determine time-varying disturbances and uncertainties bounds. The case study is a Selective Compliant Articulated Robot for Assembly (SCARA) flexible joint manipulator as a representative of highly nonlinear, coupled, large robotic systems. Simulation results easily verify the effectiveness and superiority of the proposed controller.     

SCiMet: Stable,sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems

In collaborative content generation (CCG), such as publishing scientific articles, a group of contributors collaboratively generates artifacts available through a venue. The main concern in such systems is the quality. A remarkable range of research considers quality metrics partially when dealing with the quality of artifacts, contributors, and venues. However, such approaches have several drawbacks. One of the most notable ones is that they are not comprehensive in terms of the metrics to evaluate all entities, including artifacts, contributors, and venues. Also, they are vulnerable to potential attacks.In this paper, we propose a novel iterative definition in which the quality of artifacts, collaborators, and venues are defined interconnectedly. In our framework, the quality of an artifact is defined based on the quality of its contributors, venue, references, and citations. The quality of a contributor is defined based on the quality of his artifacts, collaborators, and the venues. Quality of a venue is defined based on both quality of artifacts and contributors. We propose a data model, formulations, and an algorithm for the proposed approach. We also compare the robustness of our approach against malicious manipulations with two well-known related approaches. The comparison results show the superiority of our method over other related approaches.     

Characterization and Classification of Mesenchymal Stem Cells in Several Species Using Surface Markers for Cell Therapy Purposes

Mesenchymal stem cells are multipotent cells capable of replicating as undifferentiated cells, and have the potential of differentiating into mesenchymal tissue lineages such as osteocytes, adipocytes and chondrocytes. Such lineages can then be used in cell therapy. The aim of present study was to characterize bone marrow derived mesenchymal stem cells in four different species, including: sheep, goat, human and mouse. Human bone-marrow mesenchymal stem cells were purchased, those of sheep and goat were isolated from fetal bone marrow, and those of mouse were collected by washing bone cavity of femur and tibia with DMEM/F12. Using flow-cytometry, they were characterized by CD surface antigens. Furthermore, cells of third passage were examined for their osteogenic and adipogenic differentiation potential by oil red and alizarin red staining respectively. According to the results, CD markers studied in the four groups of mesenchymal stem cells showed a different expression. Goat and sheep expressed CD44 and CD166, and weakly expressed CD34, CD45, CD105 and CD90. Similarly, human and mouse mesenchymal cells expressed CD44, CD166, CD105 and CD90 whereas the expression of CD34 and CD45 was negative. In conclusion, although all mesenchymal stem cells display plastic adherence and tri-lineage differentiation, not all express the same panel of surface antigens described for human mesenchymal stem cells. Additional panel of CD markers are necessary to characterize regenerative potential and possible application of these stem cells in regenerative medicine and implantology.     

21st Century experiences in the development of school-based management policy and practices in Indonesia

Educational Research for Policy and Practice - Since 2001, Indonesian schools have implemented a mandatory school-based management (SBM) policy for better quality education in general and more...