Exact(1)
It is important to mix interval training into your weekly sessions as well.
Similar(59)
The mixture was then incubated at 65 °C for 30 mins with 10 mins mixing intervals.
The micro-mass in each well was washed with PBS and then digested with papain extraction reagent for 3 h at 65 °C with 30 min interval mixing.
Because the study variables were a mix of interval, ordered categorical (ordinal variables), and binary variables, the correlations in Table 2 include polychoric (ordinal × ordinal and binary × ordinal variables), tetrachoric (binary × binary variables), biserial (interval × binary variables), polyserial (interval × ordinal variables), and Pearson (interval × interval variables) correlations.
The fractions containing NHERF1 PDZ1 were concentrated using 10000 molecular weight cutoff centrifugal concentrators, spinning at 3000 g and mixing at intervals of 15 min. Protein that was to be frozen for later use was dialyzed into 25 mM sodium phosphate, 150 mM NaCl, 0.1 mM TCEP, 0.02% (w/v) NaN3, and 5% (v/v) glycerol (pH 7.4).
The generated NO∙ radical interacted with oxygen to produce the nitrite ion (NO2−) which was assayed at 30 min intervals by mixing the incubation mixture with 1 mL of Griess reagent (1% sulfanilamide in 5% phosphoric acid and 0.1% naphthylethylenediamine dihydrochloride).
A bi-objective interval mix integer programming model has been developed for biofuel supply chain design under uncertainties, and the bio-objective interval programming method has been developed to solve this model.
Second, we mix states at intervals to ensure a Boltzmann distribution of energies.
In this study, a fractile-based interval mixed-integer programming (FIMP) method is advanced for sustainable municipal-scale energy system planning and management.
In this study, an interval mixed-integer non-linear programming (IMINLP) model was developed to assist regional electric power systems planning under uncertainty.
In the work of Wang et al., an interval mixed-integer non-linear programming (IMINLP) model was developed to assist regional electric power systems planning under uncertainty.
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