Spatio-temporal analysis of litterfall load in the lower reaches of Qarqan and Tarim rivers using BP neural networks.

Litterfall load is crucial in maintaining ecosystem health, controlling wildfires, and estimating carbon stock in arid regions. However, there is a lack of spatiotemporal analysis of litterfall in arid riparian forests. This study aims to estimate Litterfall load using a BP neural network based on vegetation indices from Landsat 5 and 8 satellite images, litterfall inventory data, slope, and distance to major river tributaries.

Ultra-High Sensitivity Methane Gas Sensor Based on Cryptophane-A Thin Film Depositing in Double D-Shaped Photonic Crystal Fiber Using the Vernier Effect.

Methane gas leakage can lead to pollution problems, such as rising ambient temperature. In this paper, the Vernier effect of a double D-shaped photonic crystal fiber (PCF) in a Sagnac interferometer (SI) is proposed for the accurate detection of mixed methane gas content in the gas. The optical fiber structure of the effective sensing in the sensing SI loop and the effective sensing in the reference SI loop are the same.

Estimation of Secondary Metabolites, Nutrients, Minerals, and Anti-Inflammatory and Antidiarrheal Agents in Heliotropium rariflorum Stocks at Two Phenological Stages.

The medicinal value of plants depends on minerals and nutrients and their complexation with chemotherapeutic compounds. The present study aimed to evaluate the phytochemical composition with anti-inflammatory and antidiarrheal potential of Heliotropium rariflorum. Among nutrients, fibers were maximum (25.

Design, synthesis, in vitro, and in silico studies of 4-fluorocinnamaldehyde based thiosemicarbazones as urease inhibitors.

Clinically significant problems such as kidney stones and stomach ulcers are linked to the activation of the urease enzyme. At low pH, this enzyme gives an ideal environment to Helicobacter pylori in the stomach which is the cause of gastric ulcers and peptic ulcers. In recent work, we have developed a library of 4-fluorocinnamaldehyde base thiosemicarbazones and assessed them for their potential against urease enzyme.

A novel numerical solution of nonlinear stochastic model for the propagation of malicious codes in Wireless Sensor Networks using a high order spectral collocation technique.

The open nature of Wireless Sensor Networks (WSNs) renders them an easy target to malicious code propagation, posing a significant and persistent threat to their security. Various mathematical models have been studied in recent literature for understanding the dynamics and control of the propagation of malicious codes in WSNs. However, due to the inherent randomness and uncertainty present in WSNs, stochastic modeling approach is essential for a comprehensive understanding of the propagation of malicious codes in WSNs.