Research on truck-drone collaborative route planning for rural logistics delivery services.

This study investigates the implementation of collaborative route planning between trucks and drones within rural logistics to improve distribution efficiency and service quality. The paper commences with an analysis of the unique characteristics and challenges inherent in rural logistics, emphasizing the limitations of traditional methods while highlighting the advantages of integrating truck and drone technologies. It proceeds to review the current state of development for these two technologies and presents case studies that illustrate their application in rural logistics.

Grain engineering for efficient near-infrared perovskite light-emitting diodes.

Metal halide perovskites show promise for next-generation light-emitting diodes, particularly in the near-infrared range, where they outperform organic and quantum-dot counterparts. However, they still fall short of costly III-V semiconductor devices, which achieve external quantum efficiencies above 30% with high brightness. Among several factors, controlling grain growth and nanoscale morphology is crucial for further enhancing device performance.

The Doping of Al3+ at the Tetrahedral Site of Spinel Mn3O4 for Electrocatalytic Water Oxidation.

Spinel oxides have attracted much attention in electrocatalytic water oxidation. Specially, the Mn-based spinel structures merits fundamental investigation, as Mn is involved in water oxidation in natural photosynthesis. Herein, Al-doped Mn3O4 spinel electrocatalyst was prepared for water oxidation.

Xixin Decoction May Treat VaD by Modulating the NPTX2/C1q/C3 Complement Pathway.

Vascular dementia (VaD) is a type of dementia that results from brain injury caused by cerebrovascular disease or vascular risk factors. Accumulating evidence from clinical studies has found that Xixin decoction can effectively improve the cognitive function of patients with VaD and improve their daily living ability. However, the pathogenesis of VaD is not fully understood, and the therapeutic mechanism of Xixin decoction is also unclear.

Deep Learning-Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording.

The patch clamp technique is a fundamental tool for investigating ion channel dynamics and electrophysiological properties. This study proposes the first artificial intelligence framework for characterizing multiple ion channel kinetics of whole-cell recordings. The framework integrates machine learning for anomaly detection and deep learning for multi-class classification.