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Intravenous nicotine (0.03 mg/kg) has rewarding effects in an unbiased design suggesting that the place conditioning protocol used in the present study might be an especially useful model for studying the processes underlying the conditioned rewarding effects of nicotine.
The present study assessed whether intravenous (IV) nicotine would condition a place preference in an unbiased design and evaluated important behavioral parameters: nicotine dose, number of conditioning trials, and infusion-to-placement interval.
Incorporating helix dipole and N-capping considerations into the design algorithm by restricting amino acid composition at the helix termini and N-capping positions yields a ninefold mutant of the initial design (a 23-fold mutant of wild-type) that is over 3 kcal mol−1 more stable than the protein resulting from the unbiased design.
An unbiased design and adequate reporting of RCTs that specifically address diseases which affect low and middle income countries can have an impact in changing medical practice and influencing public health policy.
Then mice were equally balanced in two groups following an unbiased design and submitted to intrastriatal LVs injection (Fig. 9E).
16 Therefore a sensitive and unbiased design including randomisation at the implementation phase of the programme was the approach chosen in Finland.
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The unbiased, design-based techniques used in this paper confirm previous model-based research that indicates that terminal bronchiolar duct ending development is completed before birth.
Previous applications of unbiased (design-based) stereological principles have expanded our knowledge of neuro-morphological changes evident with the light microscope.
The aim of the present study was to quantify and compare the hepato-protective properties of IPC and IPO, for the first time, using unbiased design-based stereological methods.
Specifically, we studied single residue mutations as well as complete unbiased designs of a hexapeptide substrate.
The minimax designs and unbiased designs are found for maximum likelihood estimation in the context of both prediction and extrapolation problems.
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