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Previous approaches for tagging neurons in vivo have been based mainly on imaging methods typically two photon microscopy for recognizing GFP expression or application of calcium dependent indicators, which can be expressed in specific cells types and allow the observation of activity in specified neuronal populations [12], [39].
DOR combines the strengths of sensitivity and specificity as prevalence in dependent indicators and is useful from the statistical point of view in the assessment of the overall test accuracy in meta-analysis [ 34].
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Such human interventions pose a serious threat to the survival of wetland dependent indicator species such as the serval (Leptailurus serval) in the Drakensberg Midlands of KwaZulu-Natal, South Africa.
The selection process consists of four base algorithms that measure the attributes of each process as a dependent indicator of the other processes, that is, a pre-selection that considers (1) the process capability to cut a material-thickness relation, (2) the speed that can be achieved with this relation, (3) the inherent complexity of the piece to be cut, and (4) the process tolerance.
We proposed the use of simple equations to calculate time-dependent sensitivity and specificity based on published survival curves and other time-dependent indicators as predictive values, likelihood ratios, and posttest probability ratios to reappraise prognostic marker accuracy.
The dominant approach to the measurement of socioeconomic inequality of health consists of using rank-dependent indicators.
We present a flexible structural equation modeling (SEM) framework for the regression-based decomposition of rank-dependent indicators of socioeconomic inequality of health and compare it with simple ordinary least squares (OLS) regression.
Adherence history is given by 4 time-dependent indicators with "optimal" adherence as a reference class.
These measures appear to be sensitive to both early symptomatic improvement and degree of response to therapeutic intervention and may be state-dependent indicators of depression [ 23, 34].
To assess changes over time involving k (k=1, … n) time-dependent indicators, the equation is: µn=µ0 (1 + δ n, yielding δ=[(µn /µ0)1/n - 1].
In vivo multiphoton fluorescence microscopy allows imaging of cellular structures in brain tissue to depths of hundreds of micrometers and, when combined with the use of activity-dependent indicator dyes, opens the possibility of observing intact, functioning neural circuitry.
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