Aim: It is important to meet the aesthetic expectation regarding the smile concept of both dentists and non-professionals after treatment is complete. Therefore, the study aims to evaluate the effects of altered displays in incisors, gingival margin, and other smile-related-factors on dentists’ vs. non-professionals’ aesthetics perceptions. Materials and method: We altered the features of 42 digital smile photographs to generate the changed displays in incisors, gingival margin, and other smile-related-factors. Then, these altered photographs were presented to 51 dentists and 51 non-professionals, and each picture was rated by each participant with a visual analog scale ranging from 0 (very ugly) to 100 (very beautiful). Results: We found that the alterations in incisors, gingival margin, and other factors affected studied groups’ aesthetic perception of smile. The ugly smile threshold rated by both groups for crown length of maxillary central incisors was 2.0 mm. This threshold was 2.5 mm for dentists, with moving the gingival margin of maxillary lateral incisors to the incisal ridge. The ugly thresholds for other smile-related-factors were different between studied groups; for example, the ugly thresholds for gingival exposure levels were 3 and 4mm for dentists and non-professionals, respectively. Thus, our data indicate that altered displays in incisors, gingival margin, and other smile-related-factors affected perceptions of both studied groups on smile aesthetics, but dentists tended to feel more refined than non-professionals. Dentists and non-professionals had significantly different aesthetic perceptions of the alteration of the gingival exposure level. Conclusion: Both dentists and non-professionals’ perceptions should be fully considered during orthodontic and prosthodontic treatment to achieve optimum aesthetic results.
A novel antenna with both horizontal and vertical polarizations is proposed for 1.7-2.1 GHz LTE band small cell base stations. Horizontal polarization is achieved by using the vivaldi antennas at the main PCB board in azimuth plane. Whereas, the vertical polarization is obtained using the rectangular monopole with curved corners in proximity of the horizontal elements. A prototype antenna associated with 8-elements (four horizontal and four vertical) is fabricated on the FR4 substrate with the thickness of 0.2 cm and 0.12 cm for vivaldi and monopole antennas, respectively. Experimental results have validated the design procedure of the antenna with a volume of 14 x 14 x 4.5 cm 3 and indicated the realization of the requirements for the small cell base station applications.
This study evaluates the performance of two low cost and high performance adsorption materials, i.e., activated carbon produced from two natural waste products: Bamboo and coconut shell, in the removal of three pesticides from drinking water sources. Due to the fact that bamboo and coconut shell are abundant and inexpensive materials in many parts of the world, they respond to the ''low-cost'' aspect. The adsorption capacities of two local adsorbents have been compared with commercial activated carbon to explore their potential to respond to the ''high quality'' aspect. Two pesticides were selected, namely dieldrin and chlorpyrifos, because they are commonly used in agriculture activities, and may remain in high concentrations in surface water used as drinking water sources. The results indicate that the adsorption of pesticides on activated carbons is influenced by physico-chemical properties of the activated carbon and the pesticides such as the presence of an aromatic ring, and their molar mass. The activated carbon produced from bamboo can be employed as low-cost and high performance adsorbent, alternative to commercial activated carbon for the removal of pesticides during drinking water production. The performance of activated carbon from bamboo was better due to its relatively large macroporosity and planar surface. The effect of adsorbent and pesticide characteristics on the performance was derived from batch experiments in which the adsorption behavior was studied on the basis of Freundlich isotherms.
We introduce a new implicit iteration method for finding a solution for a variational inequality involving Lipschitz continuous and strongly monotone mapping over the set of common fixed points for a finite family of nonexpansive mappings on Hilbert spaces.
Academic mobility is a popular phenomenon at universities, particularly for promoting knowledge exchange, attracts the attention scientific community in recent years, especially in the context of integration and The Fourth Industrial Revolution (FIR). Indeed, FIR is place convergency many dimensions that make mobility flows at universities more advantageous with unlimited connection and interactions, including virtual space and digital tools for mobility. The paper aims at exploring the key determinants of mobility management in higher education to respond to the impacts of FIR. The conceptual model of this study emphasizes mobility management of high-quality human resources following their contribution process: attraction/recruitment, contribution onsite, and return. The model also shows that both individuals and universities have common and unique interests in enhancing mobility flows while creating knowledge transfer regions. It is important to combine these benefits to create active mobility flows. By analyzing some typical mobility flows in a Vietnam national university Hanoi case study, we emphasized that the current philosophy of Vietnamese universities is mostly to focus on solving the lost mobility flows (brain drain) instead of going hand-in-hand with managing the value of high-quality human resource mobility and connecting networks to make to promote knowledge exchange. Thus, it requires Vietnamese universities should change for adapt to FIR’s impacts with academic mobility and manage mobility of human resources follow all their contribution process. This study explores these topics for their impact on FIR to manage mobility flows of high-quality human resources using assessment data which collected snowball methods. Finally, the paper proposes the policy framework supporting mobility management and priority solutions for promoting the knowledge interactions zones and developing smart platforms for university governance and human resource management adapting with the context of the FIR.
6 aggregate functions. There is also a special type of query called recursive query. In SQL, it goes with Common Table Expression (CTE). There is the kind of view as virtual by default because the query that the view is based on will be executed from the scratch each time when the view is accessed. The query
There are many methods and techniques which have been promoted to develop adaptive hypermedia systems [1]. Our model approach [2], generating adaptive courses based on learner's profile which learner's includes background, skills, style...etc. One of important steps in our model is to generate learning path adaptive for each learner. In this paper, we promote an algorithm based on shortest path search algorithm to evaluate learning object (LO) based on its attributes [3] and constructed a Bayesian Belief Network (BBN) to generate learning path for each learner. Tóm tȃt. Nhiề u phu . o . ng pháp cũng nhu . kỹ thuâ . t du . o . . c dề xuất dê ' phát triê ' n các hê . thống ho . c thích nghi. Mô hình cu 'a chúng tôi phát triê ' n nhȃ ' m ta . o ra các khóa ho . c thích nghi du . . a trên các thông tin về ngu .ò. i ho . c nhu . kiến thú . c, kỹ nȃng, so . ' thích v..v. Mô . t trong nhũ . ng bu .ó. c quan tro . ng cu 'a mô hình là ta . o ra các tiến trình ho . c thích nghi cho tù . ng ngu .ò. i ho . c. Bài báo này chúng tôi trình bày thuâ . t toán du . . a trên thuâ . t toán tìm du .ò. ng di ngȃn nhất dê ' lu . . a cho . n các dối tu . o . . ng ho . c du . . a vào thuô . c tính cu 'a chúng và xây du . . ng ma . ng xác suất Bayesian Belief dê ' ta . o ra các tiến trình ho . c phù ho . . p vó . i nhu cầ u ngu .ò. i ho . c.
Graph mining is a major area of interest within the field of data mining in
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.