Vels University

Introduction The role of sealants for pits and fissures has been emphasized in caries prevention. Considering the advantages of a surface sealer and the effects of its application over restorative materials; the study is aimed at evaluating two pit and fissure sealants with a nanofilled resin coating. Materials and methods In this in vitro double-blinded study, a total of 60 caries-free extracted third molars were collected and divided into two groups of 30 each receiving either a resin-based sealant (Helioseal F) or a glass ionomer-based sealant (GC Fuji VII). Each sample was then applied with GCoat Plus surface sealer. 15 samples each containing GC Fuji VII and 15 containing Helioseal F were then subjected to wear. Another 15 samples of GC Fuji VII and 15 of Helioseal F were subjected to compressive load. Results On assessing the wear strength, the weight loss in group I (resin sealant with surface sealer) was 1.73 ± 0.50 (μg) which was statistically significant (p = 0.023). There was no significant difference in comparing the wear depth between both groups. There was a high statistically significant difference when assessing the compressive strength, group II (glass ionomer sealant with surface sealer) had 3566.4 ± 757 (μm) when compared to group I (resin sealant with surface sealer) 1568.53 ± 680 (p ≤ 0.01). Conclusion Sealants are known for their poor retention and keeping that in mind we designed this study to evaluate the physical properties of sealants with a resin coating over them. Within the limitations of this study, the conclusions are glass ionomer sealant showed greater resistance to wear when compared to the resin-based sealant and the resin-based sealant showed higher compressive strength values than the glass ionomer sealant. How to cite this article Gunasekaran R, Sharmin D, Baghkomeh PN, et al. Comparative Evaluation of Wear Strength and Compressive Strength of Two Pit and Fissure Sealants with a Nanofilled Resin Coating: An In Vitro Study. Int J Clin Pediatr Dent 2024;17(1):31–35.

Endometriosis is a challenging gynecological disorder that causes pelvic pain and infertility attributed to the prevalence of ectopic endometrial tissue outside the uterine tract. Based on the patient’s histology findings, it is typically identified by pathological lesions, endometritis, pyometra, and glandular cystic hyperplasia. Traditional medicines are thought to be the most reliable sources for the discovery of novel pharmaceuticals, notwithstanding recent developments in computational and chemical techniques. Endometriosis and other gynecological illnesses have been tested against a variety of therapeutic herbs and chemicals derived from plants. In healthcare areas with few resources, traditional medicine is still seen as the main treatment option, regardless of recent scientific progress and globalization. Plant-derived compounds were once thought to be a key source of modern medications and play a crucial biological role against some pathogenic organisms. Ever since the dawn of humanity, an increasing number of plants have been utilized as remedies. In communities all across the world, traditional medicine has been an essential resource for health for centuries, and it is still a cornerstone for some people who have unequal access to mainstream treatment, according to research conducted by the World Health Organization (WHO). This book chapter presents the activity profile of medicinal plants and their active components while highlighting the development of multitargeted endometriosis medicinal compounds.

An experimental study was carried out on geo-polymer and reinforced concrete beams to evaluate the flexural behavior of the beams for the structural grade of M30 concrete. The results show that the geo-polymer concrete beams exhibit similar flexural strength when compared to reinforced concrete beams. The split tensile strength, stiffness characters, the energy capacity and ductility relationship were also found with satisfactory results. The deflection and the stiffness degradation at the salient stages were found to be similar and thus the geo-polymer concrete beams find a good alternative to reinforced concrete beams under flexural behavior.

Machine learning (ML) plays a vibrant role in Industrial Internet of Things (I‐IoT) applications and deployments. The bridge between investments and acquisitions in startups is the Machine Learning and I‐IoT for the past 2 years. ML‐based analytics grabs the attention of major vendors of I‐IoT platform software. As the I‐IoT and ML grow, there is a change in the end user responding to the market in the way industries do business. The industries and customer‐oriented companies may design and define the future and will create a trend of success with these technologies. For example, majority of computer technology companies have focused toward investing in I‐IoT hardware components, such as sensor nodes, actuators, to provide connectivity, and real‐time data analytics. In turn, it increases the access to substantial amounts of data engendered by their customers, and also, they can use it toward improving their services and products. Previously, there was a situation in handling of data was considered as the most difficult task, but now, the scenario has changed by making availability of the data as the treasure that every company has. By the power AI, I‐IoT data can be transmuted, investigated, envisioned, and implanted across the entire ecosystem, edge devices, gateways and data centers, either in the fog or in the cloud. This chapter elaborates on ML and how it could be integrated with different industrial I‐IoT applications for automation and to improve businesses.

The study explores the velocity of Casson fluid that is time-independent over an exponentially infinite isotherm vertical permeable sheet. The impact of magnetohydrodynamic (MHD) with Casson flow over the permeability sheet is examined. In contrast, thermal radiation and heat sink parameters have been incorporated. This study’s primary goal is to determine the significance of thermal radiation on Casson flow with MHD using an analytical solution over a permeable sheet. The flow of the fluid occurs above the sheet when [Formula: see text] is greater than zero, and the sheet extends far away in the [Formula: see text]-direction. The model of governing equations is reduced by applying a suitable set of dimensionless parameters. These dimensionless systems of equations are solved through the Laplace transformation method. The impacts of various variables over velocity, temperature, concentration, skin friction, and Nuseelt number are scrutinized. These variables contain magnetic field [Formula: see text], Casson fluid parameter [Formula: see text], Ghroshof number [Formula: see text], modified Grashof number [Formula: see text], Prandtl number [Formula: see text], thermal radiation [Formula: see text] and Scimdth number [Formula: see text]. These plots are sketched for the considerable magnitude of these variables through the Mathematica Software, and these plots are discussed in detail. Results show that the increasing value of [Formula: see text] reduces the fluid velocity but velocity of fluid is enhanced with larger values of [Formula: see text], [Formula: see text] and [Formula: see text]. The impact of Skin friction and Nusselt number is elaborated by tabular outlined.