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Nearly 3.5 billion humans have oral health issues, including dental caries, which requires dentist-patient exposure in oral examinations. The automated approaches identify and locate carious regions from dental images by localizing and processing either colored photographs or X-ray images taken via specialized dental photography cameras. The dentists’ interpretation of carious regions is difficult since the detected regions are masked using solid coloring and limited to a particular dental image type. The software-based automated tools to localize caries from dental images taken via ordinary cameras requires further investigation. This research provided a mixed dataset of dental photographic (colored or X-ray) images, instantiated a deep learning approach to enhance the existing dental image carious regions’ localization procedure, and implemented a full-fledged tool to present carious regions via simple dental images automatically. The instantiation mainly exploits the mixed dataset of dental images (colored photographs or X-rays) collected from multiple sources and pre-trained hybrid Mask RCNN to localize dental carious regions. The evaluations performed by the dentists showed that the correctness of annotated datasets is up to 96%, and the accuracy of the proposed system is between 78% and 92%. Moreover, the system achieved the overall satisfaction level of dentists above 80%.

Four cost effective organoclays were synthesized, characterized, and studied for the sorption of hydrophobic compounds (edible oil/grease and hydrocarbon oil) from aqueous solutions. Organoclays were prepared by cation exchange reaction of lattice ions (present onto the surface of laterite and bentonite clay minerals) with two surfactants, hexadecyl trimethyl ammonium chloride (HDTMA-Cl) and tetradecyl trimethyl ammonium bromide (TDTMA-Br). Fourier transform infrared spectroscopy and scanning electron microscopy were used for the characterization of synthesized organoclays. It was found that the amount of surfactant loading and the nature of the surfactant molecules used in the syntheses of organoclay strongly affect the sorption capacity of the clay mineral. Further, it was found that both the laterite and bentonite based organoclays efficiently removed the edible and hydrocarbon oil content from lab prepared emulsions; however, the adsorption capacity of clay mineral was greatly influenced by the nature of hydrophobic compounds as well.

A study on the assessment of local management practices on the population of three medicinal plants viz.: Persicaria amplexicaule. D. Don., Valeriana jatamansi Jones and Viola serpens Wall ex Roxb was conducted during 2002-2004 in the coniferous forest of Northern Parts of Pakistan. The objective of the study was to know the impact of current management practices on the population size of targeted plants. The study showed that the involvement of locals in the gathering of targeted plants varied with the change in elevation. Among the targeted plants V. serpens was collected by large majorities of people (83.3%) at 2700 m followed by 72% at 2300 m and 37% at 1900 m. V. jatamansi was harvested by a small number of people (18.1%) at 1900 and 2300 m each, followed by 8.3% at 2700 m. While P. amplexicaule was harvested by a few collectors (9.1%) at 1900 m and 9.6% at 2300 m followed by 8.3% at 2700 m. The study concluded that these species have been extracted so heavily in the past that they are found now sparsely in some sites of the study area. Secondly, due to loss of its habitat by deforestation and encroachment of land for cultivation its population is on the decline towards extinction. Therefore, the current study recommends the conservation of the remaining populations of targeted plants through active participation of local communities.