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Showing 1 to 9 of 9 for “"LRM"”.
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Oxygen stable isotopic analysis of calcite by Raman microprobe spectrometry
… were analyzed using the laser Raman microprobe (LRM) to determine whether the intensity ratio of the C¹⁸O¹⁶O₂²⁻ and C¹⁶O₃²⁻ symmetric stretching bands can be directly related to isotopic compositions measured by ratio mass spectrometry (RMS). The calcites were cooled to near liquid nitrogen …
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Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data
… yielding clones. Logistic regression models (LRM) provided an objective statistical decision support tool for selecting high yielding seedlings and were more flexible at adjusting the number of seedlings to advance than visual selection. The LRM can be used to identify important traits in …
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Liouville resolvent methods applied to highly correlated systems
… of the Liouville Operator Resolvent technique (LRM) to two hamiltonians used to model highly correlated systems: Falicov-Kimball and Anderson Lattice. We calculate specific heats, magnetic susceptibilities, thermal averages of physical operators, and energy bands. We demonstrate that the LRM is …
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Automated wavelength recovery for silicon photonics
… demonstrated a new L-shaped resonant microring (LRM) modulator that achieves 30 Gb/s error-free operation in a compact (< 20 [mu]m²) structure while maintaining single-mode operation, enabling direct WDM across an uncorrupted 5.3 THz FSR. We have introduced heater elements inside a new single …
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Parametric Modeling, Analysis, Classification, and Optimization of the Laser Polishing Process with Respect to the Working Distance
… surface polishing utilizing laser remelting (SP-LRM). The process of structure generation is achieved via surface structuring by means of laser remelting (SS-LRM). The working distance of the laser beam is typically defined as the location of the focal point of the laser beam with respect to the …
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Using a Nearest Neighbor Algorithm and Logistic Regression to Assess Hazard Identification in the U.S. Army Risk Management Process
… (NN) algorithm and Logistic Regression Model (LRM). NN determines how similar a participant's case is to an expert case and LRM analyzes the outputs in a way that allows us to see if any of the seven experiential and demographic attributes considered had a significant impact on a participant's …
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Towards a general conceptual model for bibliographic aggregates: Four case studies from our bibliographic standards
… FRBR, and Library Reference Model (LRM). The first three standards take an approach to modeling bibliographic aggregates that is based on concepts of parts and wholes. The more recent LRM standard takes a different approach by closely linking its bibliographic aggregate model to its …
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Let Them Eat Beef: Effects of Beef Consumption on Markers of Metabolic Syndrome
… still need to be done, that the inclusion of LRM in calorie-reduced diets may be used short term as an alternative to the DASH diet for those with MetS for weight and TG reduction.</p>
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The effect of strength training on 3km performance in recreational female endurance runners
… VO2 peak, running economy, muscular strength (lRM), as well as body composition and girth. A one-way ANCOVA, with the pre-training values as the covariate, was used to analyse the data. Both training groups showed a non-significant improvement in 3km performance times after the respective …