scholarly journals Application of existing low-level waste technology offers 17-to-1 volume reduction and enhanced disposal at low cost

1988 ◽  
Author(s):  
G. R. Darnell ◽  
M. M. Larsen ◽  
J. D. Dalton
Keyword(s):  
Low Cost ◽  
2016 ◽  
Vol Volume 11 ◽  
pp. 1793-1800 ◽  
Author(s):  
Mostafa Bakeer ◽  
Taha Abd El-Gawad ◽  
Raed El-Metwaly Ali ◽  
Ahmed El-Morsi ◽  
Mohammad El-Badrawy ◽  
...  

Author(s):  
IH Oh

AbstractA low-cost system to measure low-level nitrogen dioxide (NO2) in an atmosphere was developed. Its major component included a sensor comprising filter paper treated with 3,3’-dimethylbenzidine (o-tolidine), a compound that reacts with NO2to generate color proportional to the NO2contacted. In addition to the system development, its utility was optimized and the characteristics of the sensor were defined. Originally developed to determine the NO2levels during direct-fired tobacco curing, the system may be used to determine the NO2levels in other situations.


2021 ◽  
Author(s):  
Zita Hubler ◽  
Xiao Song ◽  
Cameron Norris ◽  
Mehul Jani ◽  
David Alouani ◽  
...  

ABSTRACTObjectivesEmerging SARS-CoV-2 variant strains can be associated with increased transmissibility, more severe disease, and reduced effectiveness of treatments. To improve the availability of regional variant surveillance, we describe a variant genotyping system that is rapid, accurate, adaptable, and able to detect new low-level variants built with existing hospital infrastructure.MethodsWe use a tiered high-throughput SARS-CoV-2 screening program to characterizes variants in a supra-regional health system over 76 days. Combining targeted qPCR and selective sequencing, we screen positive SARS-CoV-2 samples from all hospitals within our health care system for genotyping dominant and emerging variants.ResultsThe median turnaround for genotyping was two days using the high-throughput qPCR-based screen, allowing us to rapidly characterize the emerging Delta variant. In our population, the Delta variant is associated with a lower CT value, lower age at infection, and increased vaccine breakthrough cases. Detection of low-level and potentially emerging variants highlights the utility of a tiered approach.ConclusionsThese findings underscore the need for fast, low-cost, high-throughput monitoring of regional viral sequences as the pandemic unfolds and the emergence of SARS-CoV-2 variants increases. Combing qPCR-based screening with selective sequencing allows for rapid genotyping of variants and dynamic system improvement.Key messagesA tiered approach that uses qPCR-based screening to identify dominant variants and sequencing for unique variants maximizes throughput, turnaround time, and information gleaned from each sample.In our population, the Delta variant became dominant in less than a month and is associated with lower CT, lower age at infection, and increased breakthrough cases.We identified low-level variants, including the variant of interest B.1.621 and a Delta variant with an E484K mutation in our population using existing hospital infrastructure.


2021 ◽  
pp. 134-146
Author(s):  
Surbhi Sharma ◽  
Anthony J. Bustamante

In this paper, we have focused to improve the performance of a speech-based uni-modal depression detection system, which is non-invasive, involves low cost and computation time in comparison to multi-modal systems. The performance of a decision system mainly depends on the choice of feature selection method and the classifier. We have investigated the combination of four well-known multivariate filter methods (minimum Redundancy Maximum Relevance, Scatter Ratio, Mahalanobis Distance, Fast Correlation Based feature selection) and four well-known classifiers (k-Nearest Neighbour, Linear Discriminant classifier, Decision Tree, Support Vector Machine) to obtain a minimal set of relevant and non-redundant features to improve the performance. This will speed up the acquisition of features from speech and build the decision system with low cost and complexity. Experimental results on the high and low-level features of recent work on the DAICWOZ dataset demonstrate the superior performance of the combination of Scatter Ratio and LDC as well as that of Mahalanobis Distance and LDC, in comparison to other combinations and existing speech-based depression results, for both gender independent and gender-based studies. Further, these combinations have also outperformed a few multimodal systems. It was noted that low-level features are more discriminatory and provide a better f1 score.


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