Simultaneous determination of polycyclic aromatic hydrocarbons, their derivatives, and phthalic acid esters bound to ambient PM during pre-summer season in Bengaluru, India, and potential effect on protein aggregation diseases.

Air pollution pertaining to particulate matter (PM) is a major issue in most of the metropolitan cities across the world. Inhalation exposure to organic species like polycyclic aromatic hydrocarbons (PAHs), derivatives of PAHs (oxygenated and nitrated PAHs), and phthalic acid esters (PAEs) bound to PM is of major concern owing to its carcinogenic, mutagenic, and endocrine disrupting nature. In this study for the first time, we report a total of 22 aromatic organic species which include PAHs, derivatives of PAHs, and PAEs using an optimized high-performance liquid chromatography coupled to the tandem mass spectrometer (HPLC-MS/MS) method.

Investigation on the heating effects of intra-tumoral injectable magnetic hydrogels (IT-MG) for cancer hyperthermia.

Capacitive-based radiofrequency (Rf) radiation at 27 MHz offers a non-invasive approach for inducing hyperthermia, making it a promising technique for thermal cancer therapy applications. To achieve focused and site-specific hyperthermia, Rf-responsive materials is required to convert Rf radiation into localized heat efficiently. Nanoparticles capable of absorbing Rf energy and convert into heat for targeted ablation are of critical importance.

Influence of Age and Gender on Emotional Intelligence, Intelligence Quotient, Anxiety, and Behavior of Children in a Dental Setup.

Background: Children's age is a significant predictor factor for their panic and conduct intraoperatively. A child's developmental stage influences their ability to handle stress in dental operations, and it seems that younger children are more anxious and have a better capacity to cope with dental procedures. Age and gender are said to have a significant influence on emotional quotient (EQ) and intelligence quotient (IQ), but the data regarding this is extremely sparse in the dental literature.

A simple model for predicting the hydraulic conductivity of MICP-treated sand.

In this research paper, we introduce a novel and sustainable approach for forecasting the hydraulic conductivity of sand layers subjected to microbial-induced carbonate precipitation (MICP) to mitigate the diffusion of toxic pollutants. The proposed model uniquely integrates the impact of varying CaCO contents on the void ratio and estimates the average particle size of CaCO crystals through scanning electron microscopy (SEM) analysis. By incorporating these parameters into the K-C equation, a simplified predictive model is formulated for assessing the hydraulic conductivity of MICP-treated sand layers.