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Synthetic data is generated to meet specific needs or certain conditions that may not be found in the original, real data. One of the hurdles in applying up-to-date machine learning approaches for complex scientific tasks is the scarcity of labeled data, a gap effectively bridged by the use of synthetic data, which closely replicates real experimental data. [3]
Research synthesis or evidence synthesis is the process of combining the results of multiple primary research studies aimed at testing the same conceptual hypothesis. It may be applied to either quantitative [1] or qualitative research. [2] Its general goals are to make the findings from multiple different studies more generalizable and ...
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies.
A systematic review is a scholarly synthesis of the evidence on a clearly presented topic using critical methods to identify, define and assess research on the topic. [1] A systematic review extracts and interprets data from published studies on the topic (in the scientific literature), then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based ...
Total synthesis, the complete organic synthesis of complex organic compounds, usually without the aid of biological processes; Convergent synthesis or linear synthesis, a strategy to improve the efficiency of multi-step chemical syntheses; Dehydration synthesis, a chemical synthesis resulting in the loss of a water molecule
Gathering data can be accomplished through a primary source (the researcher is the first person to obtain the data) or a secondary source (the researcher obtains the data that has already been collected by other sources, such as data disseminated in a scientific journal).
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.
Analysis, interpretation and visualization of heterologous data sets from various sources e.g. genome, transcriptome or proteome data; Validation of taxonomic assignment steps in herbivore metagenomics study. [13] Protein design. One example is RosettaDesign, a software package under development and free for academic use. [14] [15] [16] [17]