The molecular packing in a polymer: fullerene bimolecular crystal is determined using X-ray diffraction (XRD), molecular mechanics (MM) and molecular dynamics (MD) simulations, 2D solid-state NMR spectroscopy, and IR absorption spectroscopy. The conformation of the electron-donating polymer is significantly disrupted by the incorporation of the electron-accepting fullerene molecules, which introduce twists and bends along the polymer backbone and 1D electron-conducting fullerene channels.
We introduce a method based on the deflectometry principle for the reconstruction of specular objects exhibiting significant size and geometric complexity. A key feature of our approach is the deployment of an Automatic Virtual Environment (CAVE) as pattern generator. To unfold the full power of this extraordinary experimental setup, an optical encoding scheme is developed which accounts for the distinctive topology of the CAVE. Furthermore, we devise an algorithm for detecting the object of interest in raw deflectometric images. The segmented foreground is used for single-view reconstruction, the background for estimation of the camera pose, necessary for calibrating the sensor system. Experiments suggest a significant gain of coverage in single measurements compared to previous methods. To facilitate research on specular surface reconstruction, we will make our data set publicly available.
High salinity discharges from seawater reverse osmosis (SWRO) plants into the marine environment may adversely affect water quality in the area surrounding the outfall. In general, very little systematic information on the potential impacts from full-scale operations on marine biota is available and even less to quantify such impacts for regulatory purposes. Scientifically validated and efficient planning tools in the form of predictive models and expert systems are normally used to assist regulators with regard to possible impacts on the marine environment. Numerical modeling has always been an efficient tool for predicting wastewater discharges and also more recently for high salinity discharges into seawater. The purpose of this study was to combine a series of propulsion-driven autonomous underwater vehicle missions with velocity and salinity measurements for the effective evaluation of a submerged offshore SWRO concentrate discharge near the campus of the King Abdullah University of Science and Technology. The Cornell Mixing Zone Expert System was additionally utilized in order to assess discharge performance under different ambient velocity magnitudes.The paper therefore focuses on the evaluation of an existing SWRO desalination discharge with emphasis on the regulatory framework of the mixing zone. The objective of this case study is to develop an approach that can be followed by SWRO plant operators and environmental competent agencies for establishing regulatory mixing zones for SWRO plants in the Kingdom of Saudi Arabia and worldwide, based on robust field monitoring.
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