Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics.

The safe and efficient operation of smart Intelligent vehicles relies heavily on accurate trajectory prediction techniques. Existing methods improve prediction accuracy by introducing scene context information, but lack the causal perspective to explain why scene context improves prediction performance. In addition, current multimodal trajectory prediction methods are mostly target-driven and implicitly fused, relying too much on the density of candidate targets, as well as ignoring the road rule constraints, which leads to a lack of anthropomorphic properties in the model's prediction results.

Qualitative analysis of terpenoid esters based on near-infrared spectroscopy and machine learning.

This study delves into the method of qualitative analysis of terpenoid esters using near-infrared spectroscopy technology. Terpenoid esters are bioactive compounds widely used in the pharmaceutical and cosmetics industries. Near-infrared spectroscopy technology enables rapid and accurate component analysis without compromising the integrity of the sample, which is particularly important for valuable samples that need to be preserved intact or require subsequent analysis.

Nitrogen-doped carbon encapsulated zinc vanadate polyhedron engineered from a metal-organic framework as a stable anode for alkali ion batteries.

In this work, we fabricated vanadium/zinc metal-organic frameworks (V/Zn-MOFs) derived from self-assembled metal organic frameworks, to further disperse ultrasmall ZnVO nanoparticles and encapsulate them in a nitrogen-doped nanocarbon network (ZVO/NC) under in situ pyrolysis. When employed as an anode for lithium-ion batteries, ZVO/NC delivers a high reversible capacity (807 mAh g at 0.5 A g) and excellent rate performance (372 mAh g at 8.

Dual carbon decorated germanium-carbon composite as a stable anode for sodium/potassium-ion batteries.

In the present work, we introduce a dual carbon accommodated structure in which germanium nanoparticles are encapsulated into an ordered mesoporous carbon matrix (Ge-CMK) and further coated with an amorphous carbon layer (Ge@C-CMK) through a nano-casting route followed by chemical vapor deposition (CVD) treatment. In the resultant Ge@C-CMK composite, the unique lane-like pore structure that cooperates with the amorphous carbon surface can not only mitigate the volume expansion of germanium particles, but also improve the electrical conductivity of germanium as well as facilitate Na/K diffusion. When employed as the anode of sodium-ion batteries, the Ge@C-CMK electrode exhibits stable capacity as well as long-term cycling stability (a stable capacity of 176 mAh g at 1 A g after 5000 cycles).

Evaluation of the antibacterial activity of tilmicosin-SLN against : in vitro and in vivo studies.

Background: and are the major contagious organisms causing dairy cow mastitis. Our previous studies have demonstrated that solid lipid nanoparticles (SLNs) can effectively enhance the antimicrobial activity of tilmicosin against . This study aimed to evaluate the antibacterial efficacy of tilmicosin-loaded SLN (Til-SLN) against .