Sentence examples for predictions and developing from inspiring English sources

Outcome 2: To gain mastery at asking and answering questions about the mechanisms and evolution of behavior by performing observations, generating hypotheses, deriving predictions, and developing tests to investigate the causes of behavior.

To gain mastery at asking and answering questions about the mechanisms and evolution of behavior by performing observations, generating hypotheses, deriving predictions, and developing tests to investigate the causes of behavior.

Since then, we have carried this work further by confirming the predictions and developing novel vaccines that incorporate highly cross-strain-conserved CD4+ T-cell epitopes across a broad range of H1N1 influenza sequences.

The main purpose was to integrate two strategies for road safety analyses (qualitative: audits, inspections; and quantitative: accident predictions) and develop a possible protocol for the safety interventions on existing two-lane rural road segments.

WM performed the predictions and developed the database and its web interface.

We compared the blastx and the Diogenes results to annotate the coding regions based on ORF predictions and developed and improved dataset to classify nonsynonymous and synonymous SNPs and estimate their frequencies.

PH contributed the full-length Jmjd6 analysis, 3D structure prediction and developed the new method for conservation based residue shading.

Thus, there is a need for a better understanding of the molecular basis of breast cancer initiation and metastasis to improve prognosis prediction and develop targeted, molecular-based therapies.

Understanding the properties of both the drug and the prediction tool is, however, a vital prerequisite for achieving reliable predictions and for developing general principles about the robustness, predictability, and reliability of the model, rather than looking at each case individually.

This article examines the benefits of prediction markets and develops a framework that can be used to identify in which situations prediction markets can be profitably deployed within organizations.

The present study conducted a comparative analysis of the most frequently used target prediction algorithms and developed an integrative approach, with certain analytically attractive properties, that improves the predictive performance in relation to the foundational prediction methods.