Visual and digital tooth shade selection methods, related effective factors and conditions, and their accuracy and precision: A literature review

Author(s):  
Farhad Tabatabaian ◽  
Elaheh Beyabanaki ◽  
Parisa Alirezaei ◽  
Saied Epakchi

Author(s):  
T Pressat-Laffouilhère ◽  
R Jouffroy ◽  
A Leguillou ◽  
G Kerdelhue ◽  
J Benichou ◽  
...  


2019 ◽  
pp. 490-508
Author(s):  
Marjaneh Farhangi

We have witnessed vast economic, social, technological, and environmental changes that have influenced patterns of urbanization. Through all these years urban planning has also experienced major reforms. During last two decades, with emergence of knowledge economy, it is claimed that the nature of urban development has changed; this new notion of development is called knowledge-based urban development. As there is not clear methodology for directing cities development process, this chapter aims to formulate a conceptual model for cities leadership towards knowledge-based urban development. This chapter considers the city of Isfahan, Iran as a case study. Finally, a model is proposed according to literature review and using ANP method for analyzing the data gathered from the context. This conceptual model has also prioritized effective factors for KBUD.



2019 ◽  
Vol 15 (8) ◽  
pp. 917-923
Author(s):  
Sara Rahimi ◽  
Adele Kiaghadi ◽  
Nader Fallahian


Materials ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 468
Author(s):  
Louis Hardan ◽  
Rim Bourgi ◽  
Carlos Enrique Cuevas-Suárez ◽  
Monika Lukomska-Szymanska ◽  
Ana Josefina Monjarás-Ávila ◽  
...  

Since color matching is considered a subjective procedure, accurate shade choice is often the most challenging stage of recreating the natural appearance of teeth. Furthermore, accurate determination of tooth color is imperative for the final outcome of dental restorations. The purpose of this research is to assess the accuracy of color match between diverse shade selection methods throughout a systematic review and meta-analysis. Two independent investigators (L.H. and R.B.) screened the literature in five electronic databases. Randomized controlled trials or in vitro papers studying the effect of using either digital shade selection or visual shade selection on the accuracy of color match were included. A total of 13 manuscripts comprised the meta-analysis. Color difference (ΔE) between restorations where the shade matching was performed by the conventional method was greater than those where the shade matching was performed by computerized methods (p = 0.007). According to the subgroup analysis, only the use of digital photographs for shade matching showed a reduction in the (ΔE) (p < 0.0001), while the use of a spectrophotometer has no advantages over the use of visual shade guide tabs (p = 0.57). On the other hand, global analysis showed that incorrect shade matching was higher when the conventional method using shade guide tabs was used (p < 0.001), irrespective of whether a spectrophotometer or a digital camera was used (p < 0.001). This study concluded that the use of digital photography and spectrophotometric measurements led to fewer color differences and less incorrect shade matching than conventional methods using color shade tabs.



2020 ◽  
Vol 15 ◽  
pp. 157-166
Author(s):  
Aida Mehrad

Most academic staff don’t know what exactly makes them satisfy or dissatisfy at university and based on which effective factors they can improve and increase the level of their outcomes. Dissatisfaction occurred amongst academic staff when they don’t receive any basic motivational factors, versa job satisfaction happened when they obtained at least the fundamental facilities and considered via workplace (managers, leaders, and supervisors). There are numerous and effective factors that change attitudes and feelings of academic staff toward the job, likewise, change level of their outcomes; furthermore, recognizing these effective factors that rise level of job satisfaction among these group of staff; similarly, analyzing this factor as one of the important organizational factors in the context of Herzberg’s Motivation-Hygiene Theory determined as main objective of this literature review. Overall, in this research endeavors to finding brilliant points and motivational factors that influence job satisfaction and clarifies them in an educational situation such as the university.



Author(s):  
Nimy Rajan ◽  
Rani Krishna S ◽  
Amy Rajan ◽  
Geetanjali Singh ◽  
Lucky Jindal

Shade selection is one of the important aspect of esthetic dentistry. In present scenario patient seeks dental treatment under two situations: pain and esthetics. For esthetics every dentist should know the shade matching procedures. Shade matching includes knowledge of Color (hue, value and chroma), Translucency and opacity Gloss, Surface toughness, Opalescence, Iridescence, Fluorescence and Luminescence Phosphorescence and Metamerism. The aim of this article is to ‘open the doors of perception’ so that the entire dental team can comprehend and use color in daily practice and proper shade selection can be done to provide good esthetics to patient.



Author(s):  
Marjaneh Farhangi

We have witnessed vast economic, social, technological, and environmental changes that have influenced patterns of urbanization. Through all these years urban planning has also experienced major reforms. During last two decades, with emergence of knowledge economy, it is claimed that the nature of urban development has changed; this new notion of development is called knowledge-based urban development. As there is not clear methodology for directing cities development process, this chapter aims to formulate a conceptual model for cities leadership towards knowledge-based urban development. This chapter considers the city of Isfahan, Iran as a case study. Finally, a model is proposed according to literature review and using ANP method for analyzing the data gathered from the context. This conceptual model has also prioritized effective factors for KBUD.



2018 ◽  
Vol 23 (2) ◽  
pp. 73-87 ◽  
Author(s):  
Claudia Cunningham ◽  
Fiona Patterson ◽  
Jennifer Cleland


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