The transitional period between puberty and maturity is known as adolescence. Due to hormonal changes during this age, teenagers undergo a lot of physical, emotional, and psychological changes. There is a variety of oral afflictions that are seen during adolescence. Behaviors related to peer pressure, substance abuse, bad oral habits make dental management a challenge in this age. This article discusses the dental problems commonly seen in adolescents and the preventive methods available for the same.
This is a case report of a 14-year-old female patient in whom a premolar from a donor was used as an allotransplant to replace her missing lower premolar. The treatment results over 6 months showed successful periodontal healing and functioning of the allotransplanted tooth. The aim of this paper is to report a procedure, allotransplantation of tooth, which is followed from ages but less preferred and documented and is surrounded by variable prognosis and also highlight the use of a intentionally extracted tooth for orthodontic purpose, which otherwise goes as a waste and moreover the use of this technique can supplement the need of an implant for the time being in the young patient without compromising her alveolar bone height, functioning, and esthetics.
The Internet of Things adapted by the industries, known as Industrial Internet of Things (IIoT), increases the production rate by reducing the risk factor. The wireless devices deployed in the open places are always susceptible to various attacks including cloning and physical attacks. Thus security of IIoT devices becomes the primary concern of these days. The resource constraint IIoT devices demand light weight security schemes to authenticate communicating devices and protect the privacy of industrial data. In this article, an authentication scheme with low computation and communication cost has been proposed using multiple factors, namely smart card, password, physical unclonable function (PUF), and fuzzy extractor. PUF helps in preventing the cloning of smart card and generates unique challenge‐response pairs to authenticate the smart devices. The environmental noise, produced by the operation of PUF, is extracted by the use of fuzzy extractor. Real‐or‐Random (ROR) model and Burrows‐Abadi‐Needham (BAN) logic has been used for formal security analysis of the proposed scheme, which is resilience against replay attack, man‐in‐the‐middle attack, masquerading, forgery and impersonation attacks, camouflage attack and offline password guessing attack. The performance evaluation has been done using Raspberry Pi, lunchbox, and a laptop. The simulation results show that the proposed scheme outperforms the existing methodologies in terms of end‐to‐end delay, throughput, packet loss, computation cost, and communication cost.
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