Exact(5)
In the present study, the utility of the LMT in the identification of malingering was further explored, using a counterbalanced design in a simulated malingering sample.
The practical application of the sensor was demonstrated by determining the concentration of LMT in pharmaceutical and biological samples with good precision (RS D1.04 4.41%) and acceptable recoveries (92.40 107.0%).
Layered manufacturing technologies (LMT), in the application of rapid manufacturing (RM) demonstrates high potential in a production chain where product design is generated automatically based on physical or personal requirements.
When comparing Table 1 with Table 2, except SEN, the top voting with the majority system (top 23) is better than top individual algorithm (LMT) in the other six performance measures, and it also outperformed all thirty-nine individualgorithmthm in ACC, F1, MCC, and AUC.
As a result, voting with a majority system achieved ACC (0.774), SPE (0.855), SEN (0.721), F1 (0.786), MCC (0.562), PPV (0.890), and AUC (0.787) when the top 23 algorithms were selected, which is better than the best single classifier (LMT) in six performance measures except SEN.
Similar(55)
LMTs, in general, improved the enzymatic hydrolysis of SPS.
LMTs in a group practice were more commonly an employee of others or sharing space with other practitioners (36.2% and 29.8%, respectively).
We administered the survey to LAcs in July 2011, to LMTs in July-August, 2012, and DCs in January-February, 2013 using computer-assisted telephone interviewing software, and recorded responses electronically.
This paper describes and quantifies practice environment characteristics for a cross-sectional sample of doctors of chiropractic (DCs), licensed acupuncturists (LAcs), and licensed massage therapists (LMTs) in the United States.
In this paper, we present findings from a practitioner and practice organization survey that was administered to doctors of chiropractic (DCs), licensed acupuncturists (LAcs), and licensed massage therapists (LMTs) in Pima County, Arizona.
The present paper reports the first systematic full speciation dataset in the temperature range 730 1170 K for three furanic fuels, 2,5-dimethylfuran (DMF), 2-methylfuran (MF), and furan, measured for different equivalence ratios under near-identical LMT conditions in a flow reactor at 1 bar.
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