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Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving.
Sensors (Basel)
January 2025
Key Laboratory of Automotive Power Train and Electronics, Hubei University of Automotive Technology, Shiyan 442002, China.
Autonomous driving has demonstrated impressive driving capabilities, with behavior decision-making playing a crucial role as a bridge between perception and control. Imitation Learning (IL) and Reinforcement Learning (RL) have introduced innovative approaches to behavior decision-making in autonomous driving, but challenges remain. On one hand, RL's policy networks often lack sufficient reasoning ability to make optimal decisions in highly complex and stochastic environments.
View Article and Find Full Text PDFSynthesis and Study of Sorption Properties of Zinc-Imprinted Polymer.
Polymers (Basel)
December 2024
Limited Liability Partnership «Institute of Organic Synthesis and Coal Chemistry of the Republic of Kazakhstan», Karaganda 100008, Kazakhstan.
Zinc-imprinted polymer (ZnIP) and non-imprinted polymer (NIP) were synthesized by radical polymerization, and their properties were studied. The novelty of the work lies in the use of humic acids isolated from coals of the Shubarkol deposit (Karaganda, Kazakhstan) as a basis for the imprinted polymer matrix, with methacrylic acid and ethylene glycol dimethacrylate as a functional monomer and a cross-linking agent, respectively. The composition and structure of ZnIP and NIP were characterized using various physicochemical methods.
View Article and Find Full Text PDFCatalytic conversion of biomass-derived 5-hydroxymethylfurfural to 5-hydroxymethyl-2-furancarboxylic acid using novel cobalt-based MOF in the presence of deep eutectic solvents.
Sci Rep
December 2024
Department of Organic Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, 47416-95447, Iran.
The oxidation of 5-HMF to HMFCA is an important yet complex process, as it generates high-value chemical intermediates. Achieving this transformation efficiently requires the development of non-precious, highly active catalysts derived from renewable biomass sources. In this work, we introduce UoM-1 (UoM, University of Mazandaran), a novel cobalt-based metal-organic framework (Co-MOF) synthesized using a simple one-step ultrasonic irradiation method.
View Article and Find Full Text PDFPore-Controllable Synthesis of Phthalic Acid-Derived Hierarchical Activated Carbon for Dilute CO Capture.
Inorg Chem
January 2025
Textile Pollution Controlling Engineering Center of Ministry of Ecology and Environment, College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China.
Carbon capture and storage (CCS) from dilute sources is an important strategy for stabilizing the concentration of atmospheric carbon dioxide and global temperature. However, the adsorption process is extremely challenging due to the sluggish diffusion rate of dilute CO. Herein, -phthalic acid (PTA)-derived hierarchical porous activated carbon (PTA-C) with abundant micro- and mesopores was successfully prepared for dilute CO (2 vol %) capture at ambient conditions.
View Article and Find Full Text PDFMagnetic polyoxometalate composite stabilized on the woven cotton yarn as a sorbent for thin film microextraction of some selected nonsteroidal anti-inflammatory drugs followed by high-performance liquid chromatography-ultraviolet detection.
J Chromatogr A
January 2025
Electroanalytical Chemistry Research Laboratory, Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.
A new thin film was fabricated using FeO@SiO-polyoxometalate (POM) as the coating and it was coupled with a HPLC-UV to develop a method for the selective determination of ibuprofen, paracetamol and diclofenac (as the model analytes) from human plasma and urine samples. The prepared magnetic POM was coated on the pores and surface of cotton yarn to prepare the extracting device. The prepared sorbent was characterized by several techniques including: FT-IR, XRD, BET, SEM, and VSM analysis.
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