(1) Phosphorus (P) is an essential plant nutrient, and P deficiency negatively affects growth development. Furthermore, a finite nonrenewable resource, there urgent need to recover from some of the important waste streams in society. Newly engineered calcareous materials (sol–gel coated cat litter (CATSAN®)) can bind wastewater decentralized treatment systems potentially enable recycling into a...

Methylene blue dye (MB dye) is a harmful contaminant for wastewater streams of industries and to human aquatic life. An ecofriendly sugar templating process was used generate porous bentonite/polydimethylsiloxane (PB) magnetite nanoparticles/bentonite/polydimethylsiloxane (PBNP) composite absorbents remove MB in this study. During the infiltration PDMS solution into template vacuum chamber, ben...

Struvite and ammonium nitrate are products obtained from widely studied processes to remove phosphorus (P) nitrogen (N) waste streams. To boost circularity in horticulture, these recovered should be applied edible crops. Particularly, struvite has not been implemented fertigation as the unique source of P fertilizer. Therefore, a soilless system greenhouse experiment was conducted for tomato cr...

In past studies, illumination effects have been proven to cause the most common problems in correspondence algorithms. In this paper, we conduct a study identifying that the residual images (i.e., differences between images and their smoothed versions) contain the important information in an image. We go on to show that this approach removes illumination artifacts between corresponding pairs of...

Mercury (Hg) is a global pollutant that subject to strict regulations reduce anthropogenic emissions. The production of energy represents an important activity leads Hg emissions into the atmosphere. Of all systems used, IGCC plants are most promising for reducing emissions, since it possible remove from syngas prior combustion. aim present work was evaluate presence in main streams experimenta...

Most time-series datasets with multiple data streams have (many) missing measurements that need to be estimated. Most existing methods address this estimation problem either by interpolating within data streams or imputing across data streams; we develop a novel approach that does both. Our approach is based on a deep learning architecture that we call a Multidirectional Recurrent Neural Networ...

There has been considerable work done in the study of Web reference streams: sequences of requests for Web objects. In particular, many studies have looked at the locality properties of such streams, because of the impact of locality on the design and performance of caching and prefetching systems. However, a general framework for understanding why reference streams exhibit given locality prope...

Combining a number of diverse feature streams has proven to be a very flexible and beneficial technique in speech recognition. In the context of hybrid connectionist-HMM recognition, feature streams can be combined at several points. In this work, we compare two forms of combination: at the input to the acoustic model, by concatenating the feature streams into a single vector (feature combinati...