Publications by authors named "J FILIP"

Article Synopsis
  • Nanoscale zero-valent iron (nZVI) is commonly used for environmental cleanup, but understanding its movement in various conditions is challenging, limiting its effectiveness.
  • This study presents a new method to predict how nZVI moves in a saturated porous environment using advanced devices that measure magnetic properties, along with numerical modeling.
  • The findings indicate that nZVI's mobility is influenced by its surface charge, with negatively charged particles moving more effectively, and suggest that slight sulfidation and organic modifications can improve nZVI's distribution in groundwater.
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Materials exhibit an extraordinary range of visual appearances. Characterizing and quantifying appearance is important not only for basic research on perceptual mechanisms but also for computer graphics and a wide range of industrial applications. Although methods exist for capturing and representing the optical properties of materials and how they vary across surfaces (Haindl & Filip, 2013), the representations are typically very high-dimensional, and how these representations relate to subjective perceptual impressions of material appearance remains poorly understood.

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Redox-active components are highly valuable in the construction of molecular devices. We combined two p-phenylenediamines (p-PDA) with a biphenyl (BiPhe) unit to prepare a supramolecular guest 4 consisting of three binding sites for cucurbit[7/8]uril (CBn) and/or cyclodextrins (CD). Supramolecular properties of 4 were investigated using NMR, UV-vis, mass spectrometry and isothermal titration calorimetry.

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Mycorrhizae, a form of plant-fungal symbioses, mediate vegetation impacts on ecosystem functioning. Climatic effects on decomposition and soil quality are suggested to drive mycorrhizal distributions, with arbuscular mycorrhizal plants prevailing in low-latitude/high-soil-quality areas and ectomycorrhizal (EcM) plants in high-latitude/low-soil-quality areas. However, these generalizations, based on coarse-resolution data, obscure finer-scale variations and result in high uncertainties in the predicted distributions of mycorrhizal types and their drivers.

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