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The molecular hybridization concept has recently emerged as a powerful approach in drug discovery A series of novel indole derivatives linked to the pyrazole moiety were designed and developed via a molecular hybridization protocol as antitumor agents The target compounds 5aj and 7ae were prepared by the reaction of 5aminopyrazoles 1ae with Nsubstituted isatin 4ab and 1Hindole3carbaldehyde 6 respectively All products were characterized via several analytical and spectroscopic techniques Compounds 5aj and 7ae were screened for their cytotoxicity activities in vitro against four human cancer types human colorectal carcinoma HCT116 human breast adenocarcinoma MCF7 human liver carcinoma HepG2 and human lung carcinoma A549 using the MTT assay The obtained results showed that the newly synthesized compounds displayed goodtoexcellent antitumor activity For example 51Hindol3ylmethyleneaminoNphenyl3phenylamino1Hpyrazole4carboxamide 7a and 51Hindol3ylmethyleneamino3phenylaminoN4methylphenyl1Hpyrazole4carboxamide 7b provided excellent anticancer inhibition performance against the HepG2 cancer cell line with IC50 values of 61 19 and 79 19 μM respectively compared to the standard reference drug doxorubicin IC50 247 32 μM The two powerful anticancer compounds 7a and 7b were further subjected to cell cycle analysis and apoptosis investigation in HepG2 using flow cytometry We have also studied the enzymatic assay of these two compounds against some enzymes namely caspase3 Bcl2 Bax and CDK2 Interestingly the molecular docking study revealed that compounds 7a and 7b could well embed in the active pocket of the CDK2 enzyme via different interactions Overall the prepared pyrazoleindole hybrids 7a and 7b can be proposed as strong anticancer candidate drugs against various cancer cell linesBishydroxyethyl terephthalate BHET obtained from waste polyethylene terephthalate PET glycolysis often have undesirable colors leading to an increased cost in the decoloration of the product and limiting the industrialization of chemical recycling In this work eight types of ionexchange resins were used for BHET decoloration and resin D201 showed an outstanding performance not only in the decoloration efficiency but also in the retention rate of the product Under the optimal conditions the removal rate of the colorant and the retention efficiency of BHET were over 99 and 95 respectively D201 showed outstanding reusability with five successive cycles and the decolored BHET and its rPET showed good chromaticity GSK467 cell line Furthermore the investigations of adsorption isotherms kinetics and thermodynamics have been conducted which indicated that the decoloration process was a natural endothermic reaction Adsorption interactions between the colorant and resin were extensively examined by various characterizations revealing that electrostatic force ππ interactions and hydrogen bonding were the dominant adsorption mechanismsThe utilization of O2 and NO in flue gas to activate the raw porous carbon with auxiliary plasma contributes to an effective mercury Hgremoval strategy The lack of indepth knowledge on the Hg adsorption mechanism over the O2NOcodoped porous carbon severely limits the development of a more effective Hg removal method and the potential application Therefore the generation processes of functional groups on the surface during plasma treatment were investigated and the detailed roles of different groups in Hg adsorption were clarified The theoretical results suggest that the formation of functional groups is highly exothermic and they preferentially form on a carbon surface and then affect Hg adsorption The active groups affect Hg adsorption in a different manner which depends on their nature All of these active groups can improve Hg adsorption by enhancing the interaction of Hg with a surface carbon atom Particularly the preadsorbed NO2 and O3 groups can react directly with Hg by forming HgO The experimental results confirm that the active groups cocontribute to the high Hg removal efficiency of O2NOcodoped porous carbon In addition the mercury temperatureprogrammed desorption results suggest that there are two forms of mercury present on O2NOcodoped porous carbon including a carbonbonded Hg atom and HgOCombination therapy such as photodynamic therapy PDTenhanced chemotherapy is regarded as a promising strategy for cancer treatment Borondipyrromethene BODIPY as close relatives of porphyrins was widely used in PDT However poor water solubility rapid metabolism by the body and lack of targeting limits its clinical application Lenvatinib as the firstline drug for moleculartargeted therapy of liver cancer restricted its clinical application for its side effects Herein to achieve the synergy between PDT and chemotherapy we synthesized two halogenated BODIPY BDPBr2 and BDPCl2 which were prepared into selfassembly nanoparticles with lenvatinib and were encapsulated with Pluronic F127 through the nanoprecipitation method namely LBPNPs LBBr2 NPs and LBCl2 NPs The fluorescence quantum yields of LBPNPs were 073 and 071 respectively The calculated loading rates of lenvatinib for LBBr2 NPs and LBCl2 NPs were 118 and 102 respectively LBPNPs can be hydrolyzed under weakly acidic conditions pH 50 to generate reactive oxygen species ROS and the release rate of lenvatinib reached 885 and 824 Additionally LBPNPs can be effectively taken up by Hep3B and Huh7 liver cancer cells releasing halogenated BODIPY and lenvatinib in the acidic environment of tumor cells to enhance the targeting performance of chemotherapeutics Compared with free lenvatinib and separate halogenated BODIPY LBPNPs can inhibit tumor growth more effectively through pHresponsive chemophotodynamic synergistic therapy and significantly promote the cascade of caspase apoptotic protease This study shows that LBPNPs can be a promising nanotheranostic agent for synergetic chemophotodynamic liver cancer therapyTwo types of NiObased composites NiOdiatomite and NiNiOdiatomite were synthesized as modified products of enhanced catalytic performances during the transesterification reactions of waste cooking oil The influence of the diatomite substrate and the integration of metallic Ni0 in inducing the catalytic activity were evaluated in a series of transesterification reactions The experimental conditions were adjusted according to the response surface methodology and the central composite statistical design Experimentally the diatomite substrate and the Ni0 metal induced the efficiency of the reaction to achieve a yield of 734 NiOdiatomite and 91 NiNiOdiatomite respectively as compared to 66 for the pure phase NiO This was obtained under experimental conditions of 80 C temperature 100 min time 121 methanoloil molar ratio and 375 wt loading The theoretical optimization functions of the designs suggested enhancement to the experimental conditions to achieve a yield of 763 by NiOdiatomite and 932 by NiNiOdiatomite This reflected the role of the diatomite substrate in enhancing the surface area the adsorption of fatty acids and the exposure of the catalytic sites in addition to the effect of the Ni0 metal in enhancing the catalytic reactivity of the final product Finally the biodiesel produced over NiNiOdiatomite as the best product was of acceptable properties according to the international standardsToxicity prediction using quantitative structureactivity relationship has achieved significant progress in recent years However most existing machine learning methods in toxicity prediction utilize only one type of feature representation and one type of neural network which essentially restricts their performance Moreover methods that use more than one type of feature representation struggle with the aggregation of information captured within the features since they use predetermined aggregation formulas In this paper we propose a deep learning framework for quantitative toxicity prediction using five individual base deep learning models and their own base feature representations We then propose to adopt a meta ensemble approach using another separate deep learning model to perform aggregation of the outputs of the individual base deep learning models We train our deep learning models in a weighted multitask fashion combining four quantitative toxicity data sets of LD50 IGC50 LC50 and LC50DM and minimizing the rootmeansquare errors Compared to the current stateoftheart toxicity prediction method TopTox on LD50 IGC50 and LC50DM that is three out of four data sets our method respectively obtains 546 1667 and 634 better rootmeansquare errors 641 1180 and 1216 better mean absolute errors and 521 736 and 254 better coefficients of determination We named our method QuantitativeTox and our implementation is available from the GitHub repository httpsgithubcomAbdulk084QuantitativeToxDespite silicon being a promising candidate for nextgeneration lithiumion battery anodes selfpulverization and the formation of an unstable solid electrolyte interface caused by the large volume expansion during lithiationdelithiation have slowed its commercialization In this work we expand on a controllable approach to wrap silicon nanoparticles in a crumpled graphene shell by sealing this shell with a polydopaminebased coating This provides improved structural stability to buffer the volume change of Si as demonstrated by a remarkable cycle life with anodes exhibiting a capacity of 1038 mA hg after 200 cycles at 1 Ag The resulting composite displays a high capacity of 1672 mA hg at 01 Ag and can still retain 58 when the current density increases to 4 Ag A systematic investigation of the impact of spraydrying parameters on the crumpled graphene morphology and its impact on battery performance is also providedHypochlorous acid HClO a reactive oxygen species plays an essential role in the processes of physiology and pathology via reacting with most biological molecules The abnormal level of HClO may cause inflammation especially arthritis To further understand its key role in inflammation in situ detection of HClO is necessary Herein a watersoluble small molecule fluorescent probe HDIHClO is employed to monitor and identify trace amounts of HClO in the biological system In the presence of HClO the probe releases a hydroxyl group emitting strong fluorescence because of the restoration of the intramolecular charge transfer process Furthermore this probe displays a 150fold fluorescence enhancement accompanied by a large Stokes shift and a lower detection limit 83 nM Moreover the probe can make a rapid response to HClO within 8 s which provides the possibility of realtime monitoring of intracellular HClO Based on the advantages of rapid dynamics good water solubility and excellent biocompatibility this probe could effectively monitor the fluctuations of exogenous and endogenous HClO in living cells The fluorescence imaging of HDIHClO indicated that it is an excellent potential approach for comprehending the relationship between inflammation and HClO