An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security.

In recent times, there has been rapid growth of technologies that have enabled smart infrastructures-IoT-powered smart grids, cities, and healthcare systems. But these resource-constrained IoT devices cannot be protected by existing security mechanisms against emerging cyber threats. The aim of the paper is to present an improved security for smart healthcare IoT systems by developing an architecture for IADCL.

Virulence perspective genomic research unlocks the secrets of associated with banded sheath blight in Barnyard Millet ().

Introduction: Banded sheath blight (Bsb) disease, caused by , is an emerging problem in barnyard millet cultivation. One of the significant goals of pathogenomic research is to identify genes responsible for pathogenicity in the fungus.

Methods: A virulence profiling-based approach was employed and six isolates were collected from various ecological zones of India.

Impact of biopolymer-based seed coating on disease incidence and yield in oilseed crops.

The use of microbe-based biological control for crop pests is recognized as an environmentally safe substitute for conventional chemical pesticides. However, the practical application of microbial inoculants in large-scale agriculture is underexplored, impeding their widespread commercial adoption. This study addresses the scarcity of research on effective delivery methods for microbial inoculants, particularly through seed coating, which has the potential to be a cost- and time-efficient strategy in crop management.

Insights into the growth of GaN thin films through liquid gallium sputtering: A plasma-film combined analysis.

This study presents the detailed characterization of a magnetron-based Ar-N2 plasma discharge used to sputter a liquid Ga target for the deposition of gallium nitride (GaN) thin films. By utilizing in situ diagnostic techniques including optical emission spectroscopy and microwave interferometry, we determine different temperatures (rotational and vibrational of N2 molecules, and electronic excitation of Ar atoms) and electron density, respectively. Beyond providing insights into fundamental plasma physics, our research establishes a significant correlation between gas-phase dynamics, particularly those of gallium atoms (flux and average energy at the substrate) and deposited GaN thin film properties (growth rate and crystalline fraction).

Selective and stable visible-light-prompted scavenger-free photoelectrochemical strategy based on a ternary ErVO/P@g-CN/SnS nanocomposite for the detection of lead ions in different water samples.

Lead ions (Pb) are heavy metal environmental pollutants that can significantly impact biological health. In this study, the synthesis of a ternary nanocomposite, ErVO/P@g-CN/SnS, was achieved using a combination of hydrothermal synthesis and mechanical grinding. The as-fabricated photoelectrochemical (PEC) sensor was found to be an ideal substrate for Pb detection with high sensitivity and reliability.