Jodie Torrington, Matt Bower, Emma C Burns
What self-regulation strategies do elementary students utilize while learning online?
Education and information technologies
capacity zincbased 2amino41h124triazole4ylbenzoic acid coordination complex znnh2tba2 modified znnhtba2come complex removal 24dichlorophenoxyacetic acid 24d aqueous solutions investigated adsorption modeling artificial intelligence tools analyzing adsorption characteristics pesticides helps studying groundwater pollution pesticides agriculture areain study znnh2tba2 synthesized using schiff base surface modified using acetic anhydride group physical characteristics identified using proton nmr ftir xrd nmr results showed maximum modification yield obtained 65 5 days porous structure surface area monitored using nitrogen isotherm bet surface area analysis presented relatively less surface area porosity modification adsorption modelling indicated toth model maximum adsorption capacity 1508 mgg 1007 mgg represents homogenous adsorption systems satisfy low highend boundary adsorbate concentration settings according optimum point kinetics rate 24d adsorption follow pseudofirstorder kinetic model situations artificial neural network ann support vector regression particle swarm optimized least squaressupport vector regression psolssvr used optimization modelling adsorbent mass adsorbate concentration contact time temperature develop predictive equations simulation adsorption efficiency 24d pesticide obtained results exhibited better performance ann psolssvr prediction adsorption results mean square error values ann 0001 0012 psolssvr 0121 0105 obtained znnh2tba2 znnhtba2come respectively respective coefficient determination r2 obtained 0999 0988 ann 0980 0825 psolssvr study specified machine learning predictive behavior performed better znnh2tba2 compared znnhtba2come also supported theoretical kinetics isotherm models research concludes artificial intelligence models efficient tools studying predictive behavior adsorption data