Germanium recovery from coal fly ash by hydrometallurgical procedures was studied at the pilot scale (5 kg of fly ash/h). Results were used to design the equipment of a demonstration-sized plant (200 kg of fly ash/h). The process is based on hydrometallurgical operations: firstly a germanium extraction from fly ash by leaching and a consequent Ge separation from the other elements present in th...

TO THE EDITOR—Patel et al [1] investigated the usefulness of the real-time fluorescence loop-mediated isothermal amplification (LAMP) assay, RealAmp, as a point-of-care test in diagnosing malaria. In an accompanying editorial, Hsiang et al [2] highlighted some advantages and limitations of LAMP as a point-ofcare test. Molecular techniques are well known for their high sensitivity and specificit...

Defect parameter extraction plays an important role in process control and yield prediction. A methodology of evaluating wafer level defect clustering will be presented to detect equipment specific particle contamination. For that, imaginary wafermaps of a variety of different chip areas are generated to calculate a yield-to-area dependency. Based on these calculations a Micro Density Distribut...

To improve the extraction of polycyclic aromatic hydrocarbons (PAHs) from sediment samples, we optimized the conditions of pressurized liquid extraction (PLE). The yields increased as the extraction temperature increased from 100 to 190 degrees C, but the effect of increasing pressure (from 15 to 20 MPa) was small. Parameters of 190 degrees C and 20 MPa, near the maximum of the equipment, gave ...

The pandemic COVID-19 needs a rapid microbiological diagnostic from Clinical Microbiology Units. Due to the fact that it is done by using reverse transcription polymerase chain reaction (rRT-PCR) previous RNA extraction and automated equipment reagents for represent an economic increase diagnosis, we describe easy, cost-effective fast alternative extraction-free SARS-CoV-2. Samples were treated...

Based on machine learning technology and combining the operation of from idea neural network, this paper focuses classification recognition image data transformers, circuit breakers isolation switches in substations. Firstly, enhancement is carried out basis original image, which simulates possible scenes reality. Secondly, using dual-mode a deconvolutional network to capture significant featur...