Deep learning infused SIRVD model for COVID-19 prediction: XGBoost-SIRVD-LSTM approach.

The global impact of the ongoing COVID-19 pandemic, while somewhat contained, remains a critical challenge that has tested the resilience of humanity. Accurate and timely prediction of COVID-19 transmission dynamics and future trends is essential for informed decision-making in public health. Deep learning and mathematical models have emerged as promising tools, yet concerns regarding accuracy persist.

Polyaniline/graphitic carbon nitride/reduced graphene oxide ternary nanocomposite film for flexible thermoelectric application.

The present study outlines the preparation of a ternary nanocomposite film comprising of polyaniline doped with camphor sulfonic acid (PANI), reduced graphene oxide (rGO), and graphitic carbon nitride (g-CN), and delves into its thermoelectric performance. PANI is known to possess high electrical conductivity () and poor thermal conductivity (). However, its potential for thermoelectric applications is constrained by the low value of the Seebeck coefficient ().

Double-Layer Electronegative Structure-Based Triboelectric Nanogenerator for Enhanced Performance Using Combined Effect of Enhanced Charge Generation and Improved Charge Trapping.

The performance of a triboelectric nanogenerator (TENG) device depends on the amount of generated surface charges during triboelectrification and the retention of surface charges. Here, we present the fabrication of a double-layer nanocomposite structure for the electronegative layer in a TENG, which resulted in the enhanced generation of surface charges and retention of generated charges. The double-layer structure is a stack of two different nanocomposite layers, in which the top layer is a nanocomposite of PVDF and MXene and the bottom layer is a nanocomposite layer of PDMS and NaNbO nanoparticles.

Network Pharmacology Reveals Key Targets and Pathways of Madhuca longifolia for Potential Alzheimer's Disease Treatment.

Madhuca longifolia, commonly known as the mahua tree, has been traditionally used in medicine due to its anti-inflammatory, anti-diabetic, and antimicrobial properties. Its active compounds help in managing diabetes, alleviating cognitive impairment associated with Alzheimer's disease. Nonetheless, the exact neuroprotective mechanism of Madhuca longifolia against Alzheimer's disease remains unclear.