Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction.

The accurate prediction of the future trajectories of traffic participants is crucial for enhancing the safety and decision-making capabilities of autonomous vehicles. Modeling social interactions among agents and revealing the inherent relationships is crucial for accurate trajectory prediction. In this context, we propose a goal-guided and interaction-aware state refinement graph attention network (SRGAT) for multi-agent trajectory prediction. This model effectively integrates high-precision map data and dynamic traffic states and captures long-term temporal dependencies through the Transformer network. Based on these dependencies, it generates multiple potential goals and Points of Interest (POIs). Through its dual-branch, multimodal prediction approach, the model not only proposes various plausible future trajectories associated with these POIs, but also rigorously assesses the confidence levels of each trajectory. This goal-oriented strategy enables SRGAT to accurately predict the future movement trajectories of other vehicles in complex traffic scenarios. Tested on the Argoverse and nuScenes datasets, SRGAT surpasses existing algorithms in key performance metrics by adeptly integrating past trajectories and current context. This goal-guided approach not only enhances long-term prediction accuracy, but also ensures its reliability, demonstrating a significant advancement in trajectory forecasting.

Strong and Thermo-Switchable Gel Adhesion Based on UCST-Type Phase Transition in Deep Eutectic Solvent.

It remains a great challenge to achieve strong and reversible hydrogel adhesion. Hydrogel adhesives also suffer from poor environmental stability due to dehydration. To overcome these problems, here reversible adhesive gels are designed using a new switching mechanism and new solvent. For the first time, the study observes UCST (upper critical solution temperature)-type thermosensitive behaviors of poly(benzyl acrylate) (PBnA) polymer and gel in menthol:thymol deep eutectic solvents (DESs). The temperature-induced phase transition allows adjusting cohesive force, and hence adhesion strength of PBnA gels by temperature. To further improve the mechanical and adhesion properties, a peptide crosslinker is used to allow energy dissipation when deforming. The resulting eutectogel exhibits thermal reversible adhesion with a high switching ratio of 14.0. The adhesion strength at attachment state reaches 0.627 MPa, which is much higher than most reversible adhesive hydrogels reported before. The low vapor pressure of DES endows the gel excellent environmental stability. More importantly, the gel can be repeatedly switched between attachment and detachment states. The strong and reversible gel adhesive is successfully used to design soft gripper for the transport of heavy cargos and climbing robot capable of moving on vertical and inverted surface in a manner similar to gecko.

Effects of acetyl groups on the prebiotic properties of glucomannan extracted from Artemisia sphaerocephala Krasch seeds.

This study explores the structural modification of glucomannan extracted from Artemisia sphaerocephala Krasch seeds (60S) to assess the impact of acetyl groups on its prebiotic characteristics. The structural changes were examined, with a focus on the degree of acetyl group substitution (DS). Both deacetylation and acetylation had limited influence on the molecular properties of 60S. Despite these modifications, the apparent viscosity of all samples remained consistently low. In vitro fermentation experiments revealed that Escherichia-Shigella decreased as DS increased, while Bacteroides ovatus was enriched. Acetylation had no significant impact on the utilization rate of 60S but led to a reduction in the production of propionic acid. Furthermore, untargeted metabolomics analysis confirmed the changes in propionic acid levels. Notably, metabolites such as N-acetyl-L-tyrosine, γ-muricholic acid, and taurocholate were upregulated by acetylated derivatives. Overall, acetyl groups are speculated to play a pivotal role in the prebiotic properties of 60S.

Three-dimensional ordered macroporous LaFe1-xMnxO3 with high stability for efficient NO oxidation and sulfur resistance.

NOx is an air pollutant that affects human health. A series of perovskite catalysts with different ratios of lanthanum, iron, and manganese and a three-dimensional ordered microporous structure was prepared, and the strongest catalytic performance was obtained with the LaFe0.1Mn0.9O3 catalyst. LaFe0.1Mn0.9O3 possesses the greatest number of oxygen vacancies and reached 77% NO oxidation conversion at 250 °C, with the highest NO oxidation conversion of 99% at 318 °C. This work provides a promising non-precious metal catalyst for NO oxidation and soot combustion.

Synergistic effects of bivalve and microalgae co-cultivation on carbon dynamics and water quality.

Aquaculture of bivalve shellfish and algae offers significant ecological benefits, yet the complex interactions between these organisms can substantially impact local carbon dynamics. This study investigated the effects of co-culturing four intertidal bivalve species Pacific oysters (Crassostrea gigas), Manila clams (Ruditapes philippinarum), Chinese clams (Cyclina sinensis), and hard clams (Mercenaria mercenaria) with microalgae (Isochrysis galbana) on specific water quality parameters, including total particulate matter (TPM), total organic matter (TOM), dissolved inorganic carbon (DIC), dissolved carbon dioxide (dCO2), dissolved oxygen (DO), and ammonium (NH4+) concentrations. The bivalves were divided into smaller and larger groups and cultured under two conditions: with algae (WP) and without (NP), along with matched controls. Total particulate matter (TPM), total organic matter (TOM), dissolved oxygen (DO), ammonium nitrogen (NH4+), dissolved inorganic carbon (DIC), and CO2 (dCO2) were measured before and after 3-h cultivation. Results revealed species-specific impacts on water chemistry. C. gigas, C. sinensis and R. philippinarum showed the strongest reduction in DIC and dCO2 in WP groups, indicating synergistic bioremediation with algae. M. mercenaria notably reduced TPM, highlighting its particle carbon sequestration potential. DO concentrations decreased in most WP or NP groups, reflecting respiration of the cultured bivalves or microalgae. NH4+ levels also declined for most species, indicating nitrogen assimilation by these creatures. Overall, the bivalve size significantly impacted carbon and nitrogen processing capacities. These findings reveal species-specific capabilities in regulating water carbon dynamics. Further research should explore integrating these bivalves in carbon-negative aquaculture systems to mitigate environmental impacts. This study provides valuable insights underlying local carbon dynamics in shallow marine ecosystems.

Immunomodulatory effects and improved outcomes with cisplatin- versus carboplatin-based chemotherapy plus atezolizumab in urothelial cancer.

In metastatic urothelial cancer (mUC), cisplatin versus carboplatin leads to durable disease control in a subset of patients. The IMvigor130 trial reveals more favorable effects with atezolizumab combined with gemcitabine and cisplatin (GemCis) versus gemcitabine and carboplatin (GemCarbo). This study investigates the immunomodulatory effects of cisplatin as a potential explanation for these observations. Our findings indicate that improved outcomes with GemCis versus GemCarbo are primarily observed in patients with pretreatment tumors exhibiting features of restrained adaptive immunity. In addition, GemCis versus GemCarbo ± atezolizumab induces transcriptional changes in circulating immune cells, including upregulation of antigen presentation and T cell activation programs. In vitro experiments demonstrate that cisplatin, compared with carboplatin, exerts direct immunomodulatory effects on cancer cells, promoting dendritic cell activation and antigen-specific T cell killing. These results underscore the key role of immune modulation in cisplatin's efficacy in mUC and highlight the importance of specific chemotherapy backbones in immunotherapy combination regimens.