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10.1021/acssensors.1c00834

Based on the electron occupation with negligible competitive adsorption, the accurate theoretic prediction of the mixture responses versus component concentration relieves the reliance on repeated calibration and empirical functions.

Low-Concentration NOx Gas Analysis Using Single Bimodular ZnO Nanorod Sensor.

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10.2139/ssrn.3783351

Using simulated data, we show that our approach works successfully for three issues that one encounters during the estimation of mixtures: label switching; mixture complexity and prior information and mode membership versus component membership.

Bayes estimates of multimodal density features using DNA and Economic Data

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10.1093/emph/eoab006

Herein, hygiene is subdivided into components involving personal choice versus components instituted by community wide systems such as sewage treatment facilities and water treatment plants.

Between a hygiene rock and a hygienic hard place

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10.1302/0301-620X.101B8.BJJ-2018-0755.R3

The primary objective of this randomized controlled study was to compare the fixation of tibial components implanted with patient-specific instrumentation targeting kinematic alignment (KA+PSI) versus components placed using computer-assisted surgery targeting neutral mechanical alignment (MA+CAS).

A randomized controlled trial of tibial component migration with kinematic alignment using patient-specific instrumentation versus mechanical alignment using computer-assisted surgery in total knee arthroplasty.

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10.1007/s12517-019-4664-x

Test by intelligent torque sensor, fitted by the ORIGIN software, the following relationships were obtained: (1) rheological parameters versus slurry mass fraction, (2) rheological parameters versus component ratio.

Method for determining the critical velocity of paste-like slurry filling into goaf using computational fluid dynamics

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Versus Component - Based on the electron occupation with negligible competitive adsorption, the accurate theoretic prediction of the mixture responses versus component concentration relieves the reliance on repeated calibration and empirical functions. [1] Using simulated data, we show that our approach works successfully for three issues that one encounters during the estimation of mixtures: label switching; mixture complexity and prior information and mode membership versus component membership. [2] Herein, hygiene is subdivided into components involving personal choice versus components instituted by community wide systems such as sewage treatment facilities and water treatment plants. [3] The primary objective of this randomized controlled study was to compare the fixation of tibial components implanted with patient-specific instrumentation targeting kinematic alignment (KA+PSI) versus components placed using computer-assisted surgery targeting neutral mechanical alignment (MA+CAS). [4] Test by intelligent torque sensor, fitted by the ORIGIN software, the following relationships were obtained: (1) rheological parameters versus slurry mass fraction, (2) rheological parameters versus component ratio. [5]