Electrochemical Enantioselective Oxidation of Indoles via Chiral Phosphoric Acid Catalysis in Cooperation with HPO in Aqueous Media.

Disclosed here is the first catalytic enantioselective electrochemical oxidative rearrangement of indoles for the efficient synthesis of highly enantioenriched spirooxindoles. The in-situ generated HBr from substrate oxidation, known to be detrimental to the reaction itself, was perfectly consumed by cathode reduction. Challenges of this process include the difficulty in maintaining the synergy between substrate oxidation and cathode reduction as well as the general incompatibility of a hydrogen bonding catalytic system with the aqueous acidic media.

Ionic liquid-assisted synthesis of InO nanoparticles for ultra-fast detection of unsymmetrical dimethylhydrazine.

Due to the unique physiochemical properties of ionic liquids, they are extensively used as agent or solvent in the synthesis process of nanomaterials. The tailored growth process of functional nanomaterials might result in performance modification for them. In this work, InO nanoparticles were prepared via the hydrothermal method and subsequent calcination (400 °C, 500 °C, 600 °C and 700 °C).

Large-Scale linguistic Z-Number Belief Rule Base Methodology for Multidimensional and Unreliable Knowledge Representation and Learning.

With excellent interpretability, the fuzzy rule-based method stands as a formidable instrument for knowledge representation and learning. Nowadays, the knowledge representation problem with multidimensional input information is widespread, leading to a large rule base and making it difficult to embed expert knowledge. In addition, human knowledge is not entirely reliable, causing inaccurate reasoning results.

Hopping Diffusion in Wiggling Nanopore Architecture of MOF Enabling Synergistic Equilibrium-Kinetic Separation of Fluorinated Propylene and Propane.

The separation of octafluoropropane (CF) from hexafluoropropylene (CF) is an industrially important yet challenging process due to their similar physicochemical properties and stringent purity demands in industrial applications. Herein, we address this task through precise pore architecture in a zirconium-based metal-organic framework (Zr-PMA), which exhibits unique "wiggling nanopores" with narrow windows and large cavities. The narrow windows act as diffusion barriers, selectively restricting CF transport, while the large cavities provide strong adsorption sites for CF, enabling an equilibrium-kinetic synergistic separation.

Methyl 3,4-dihydrobenzoate attenuates muscle fiber necroptosis and macrophage pyroptosis by regulating oxidative stress in inflammatory myopathies.

Inflammatory cell infiltration and myofiber necrosis are pathological hallmarks of idiopathic inflammatory myopathies (IIM). Methyl 3,4-dihydroxybenzoate (MDHB) is a natural phenolic acid compound, renowned for its anti-inflammatory and antioxidant effects. In this study, we investigated its protective mechanisms targeting muscle fiber necrosis and macrophage pyroptosis by regulating oxidative stress in IIM.

Interfacially Assembled Fluorescent Nanofilm for Ultra-Sensitive Formic Acid Detection via Hydrogen Bonding Affinity and Recognition.

High-performance film-based sensors are key innovations driving advancements in sensing technologies. An ultra-sensitive formic acid sensor based on a polymer fluorescent nanofilm synthesized via interfacial assembly using a tetraphenylethylene derivative functionalized with aldehyde and hydroxyl groups is reported. These groups promote imine bond formation and enhance selectivity.

Pathological and Molecular Characterization of Grass Carp Co-Infected with Two Species.

The grass carp () is highly susceptible to infections caused by species, particularly and . However, the immunological mechanisms underlying co-infection by these pathogens remain largely uncharted. This study investigated the pathogenesis and host immune response in grass carp following concurrent infection with and .

Neural network-based aeroelastic system identification for predicting flutter of high flexibility wings.

Flutter is an extremely significant academic topic in both aerodynamics and aircraft design. Since flutter can cause multiple types of phenomena including bifurcation, period doubling, and chaos, it becomes one of the most unpredictable instability phenomena. The complexity of modeling aeroelasticity of high flexibility wings will be substantially simplified by investigating the prospect of system identification techniques to forecast flutter velocity.