Trichoscopy as an evaluation method for alopecia areata treatment: A comparative study

Augmented and virtual reality proved to be valuable solutions to convey contents in a more appealing and interactive way. Given the improvement of mobile and smart devices in terms of both usability and computational power, contents can be easily conveyed with a realism level never reached in the past. Despite the tremendous number of researches related with the presentation of new fascinating applications of ancient goods and artifacts augmentation, few papers are focusing on the real effect these tools have on learning. Within the framework of SmartMarca project, this chapter focuses on assessing the potential of AR/VR applications specifically designed for cultural heritage. Tests have been conducted on classrooms of teenagers to whom different learning approaches served as an evaluation method about the effectiveness of using these technologies for the education process. The chapter argues on the necessity of developing new tools to enable users to become producers of contents of AR/VR experiences.

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A Comparative Study of Oral Cyclosporine and Betamethasone Minipulse Therapy in the Treatment of Alopecia Areata

Annals of Dermatology ◽

10.5021/ad.2016.28.5.569 ◽

2016 ◽

Vol 28 (5) ◽

pp. 569 ◽

Cited By ~ 5

Author(s):

Yong Hyun Jang ◽

Sang Lim Kim ◽

Kyou Chae Lee ◽

Min Ji Kim ◽

Kyung Hea Park ◽

...

Keyword(s):

Comparative Study ◽

Alopecia Areata

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Application and comparative study of new optimization method for performance ranking of friction materials

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology ◽

10.1177/1350650117708479 ◽

2017 ◽

Vol 232 (2) ◽

pp. 143-154 ◽

Cited By ~ 10

Author(s):

Vishal Mahale ◽

Jayashree Bijwe ◽

Sujeet Sinha

Keyword(s):

Decision Making ◽

Comparative Study ◽

Decision Model ◽

Evaluation Method ◽

Multiple Criteria Decision Making ◽

Optimization Method ◽

Friction Material ◽

Multiple Criteria ◽

Friction Materials ◽

Performance Ranking

Good friction materials should satisfy diverse and contradictory performance requirements such as adequate friction ( µ ≈ 0.35–0.45), resistance to wear, fade, squeal, judder, etc. in consort with good recovery and less noise producing tendency. To achieve center point of all these conflicting criteria and selection of best overall performing friction material is multiple criteria decision making (MCDM) problem and very difficult task. Decision maker can easily make decision with single criteria without the help of any optimization tool by maximizing beneficial criteria and minimizing non-beneficial criteria. However, it is extremely challenging task if decision making involves several number of conflicting criteria. Few techniques are reported in the literature such as ‘multiple criteria decision model’, ‘Multi-attribute decision model’, ‘extension evaluation method’ (EEM), etc. for performance ranking of friction materials. However, the simplicity, reliability, applicability, time devoted for the analysis, etc. are always most important aspects of selecting a right tool for the analysis. In this paper application of a technique ‘multiple objective optimization on the basis of ratio analysis’ (MOORA) has been first time employed for performance ranking of friction materials. A comparative study of MOORA and currently used methods MCDM and EEM are also presented. MOORA proved to be the best tool based on the criteria such as simple to use, fast, flexible, and efficient one.

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