Optical Properties of Yb:Lu3Al5O12 Crystal Irradiated by 4.5-MeV Si Ions

Physics of the Solid State - Compact waveguide laser sources emitting at wavelength around 1.0 μm are interesting in a multiple of application. In present work, we demonstrate a crystalline...     

Synthesis and Anti-Hepatocarcinoma Effect of Amino Acid Derivatives of Pyxinol and Ocotillol

Aiming at seeking an effective anti-hepatocarcinoma drug with low toxicity, a total of 24 amino acid derivatives (20 new along with 4 known derivatives) of two active ocotillol-type sapogenins (pyxinol and ocotillol) were synthesized. Both in vitro and in vivo anti-hepatocarcinoma effects of derivatives were evaluated. At first, the HepG2 human cancer cell was employed to evaluate the anti-cancer activity. Most of the derivatives showed obvious enhanced activity compared with pyxinol or ocotillol. Among them, compound 2e displayed the most excellent activity with an IC₅₀ value of 11.26 ± 0.43 µM. Next, H22 hepatoma-bearing mice were used to further evaluate the anti-liver cancer activity of compound 2e. It was revealed that the growth of H22 transplanted tumor was significantly inhibited when treated with compound 2e or compound 2e combined with cyclophosphamide (CTX) (p < 0.05, p < 0.01), and the inhibition rates of tumor growth were 35.32% and 55.30%, respectively. More importantly, compound 2e caused limited damage to liver and kidney in contrast with CTX causing significant toxicity. Finally, the latent mechanism of compound 2e was explored by serum and liver metabolomics based on ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) technology. A total of 21 potential metabolites involved in 8 pathways were identified. These results suggest that compound 2e is a promising agent for anti-hepato-carcinoma, and that it also could be used in combination with CTX to increase efficiency and to reduce toxicity.     

Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy

The evaluation and interpretation of the behavior of construction materials under fire conditions have been complicated. Over the last few years, artificial intelligence (AI) has emerged as a reliable method to tackle this engineering problem. This review summarizes existing studies that applied AI to predict the fire performance of different construction materials (e.g., concrete, steel, timber, and composites). The prediction of the flame retardancy of some structural components such as beams, columns, slabs, and connections by utilizing AI-based models is also discussed. The end of this review offers insights on the advantages, existing challenges, and recommendations for the development of AI techniques used to evaluate the fire performance of construction materials and their flame retardancy. This review offers a comprehensive overview to researchers in the fields of fire engineering and material science, and it encourages them to explore and consider the use of AI in future research projects.     

Experimental study on thermal and fire behaviors of energized PE-insulated wires under overload currents

Journal of Thermal Analysis and Calorimetry - The electric fires are highly likely caused by the combustible wire insulation material ignited by a short circuiting or overload current in...     

SYNTHESIS,CHARACTERIZATION, CRYSTAL STRUCTURE,AND DFT STUDY OF N-(2-METHOXY-5- (4,4,5,5-TETRAMETHYL-1,3,2-DIOXABOROLAN-2-YL) PYRIDIN-3-YL)CYCLOPROPANESULFONAMIDE

Journal of Structural Chemistry - N-(2-methoxy-5-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)pyridin-3-yl)cyclopropanesulfonamide is an organic intermediate with borate and sulfonamide groups,...     

TWO Zn(II)/Cu(II) COMPLEXES BASED ON FLEXIBLE MIXED LIGANDS: SYNTHESES,STRUCTURAL CHARACTERIZATION,AND LUMINESCENCE SENSING OF NITROBENZENE

Journal of Structural Chemistry - Two Zn(II) and Cu(II) complexes formulated as Zn(DMS)(bix)0.5 (1) and Cu(DMS)(bix)0.5 (2) (DMS&nbsp;=&nbsp;2,2-dimethylsuccinate;...     

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