The green synthesis of magnesium oxide nanocomposite-based solid phase for the extraction of arsenic, cadmium, and lead from drinking water.

Solid-phase extraction (SPE) has attracted the attention of scientists because it can increase the selectivity and sensitivity measurements of analytes. Therefore, this study is designed to synthesise magnesium oxide nanoparticles (D-MgO-NPs) by an eco-friendly method using biogenic sources followed by fabricating its chitosan-based polymeric composite (D-MgO-NC) for the SPE of heavy metals (HMs), , arsenic (As), cadmium (Cd), and lead (Pb) from drinking water. Various analytical techniques were used for the surface characterization of D-MgO-NPs and D-MgO-NC.

Restoration and content analysis of ancient manuscripts via color space based segmentation.

Ancient manuscripts are a rich source of history and civilization. Unfortunately, these documents are often affected by different age and storage related degradation which impinge on their readability and information contents. In this paper, we propose a document restoration method that removes the unwanted interfering degradation patterns from color ancient manuscripts.

Biosynthesis and Analytical Characterization of Iron Oxide Nanobiocomposite for In-Depth Adsorption Strategy for the Removal of Toxic Metals from Drinking Water.

The biosynthesis of the iron oxide nanoparticles was done using leaf extract, followed by the fabrication of iron oxide nanobiocomposites (I-FeO-NBC) using chitosan biopolymer. Furthermore, the synthesized I-FeO-NPs and I-FeO-NBC were characterized, and I-FeO-NBC was applied to remove toxic metals (TMs: Cd, Ni, and Pb) from water. The characterization study confirmed that the nanostructure, porous, rough, crystalline structure, and different functional groups of chitosan and I-FeO-NPs in I-FeO-NBCs showed their feasibility for the application as excellent adsorbents for quantitative removal of TMs.

Risk Assessment of Macronutrients and Minerals by Processed, Street, and Restaurant Traditional Pakistani Foods: a Case Study.

The current work is aimed to assess the impact of macronutrient and mineral contents in food products of packaged food, restaurant food, and street food in Hyderabad. The estimated daily intake of macronutrients and minerals, followed by the toxic risk assessment of microminerals by consuming studied food dishes, was also conducted. The collected products were freeze-dried and standard procedures for measuring macronutrients were followed.

PCA driven mixed filter pruning for efficient convNets.

Deployment of the deep neural networks (DNNs) on resource-constrained devices is a challenging task due to their limited memory and computational power. In most cases, the pruning techniques do not prune the DNNs to full extent and redundancy still exists in these models. Considering this, a mixed filter pruning approach based on principal component analysis (PCA) and geometric median is presented.

Design of dual band wearable antenna using metamaterials.

This paper presents two types of dual band (2.4 and 5.8 GHz) wearable planar dipole antennas, one printed on a conventional substrate and the other on a two-dimensional metamaterial surface (Electromagnetic Bandgap (EBG) structure).