Sentence examples for treatments constructs from inspiring English sources

The ENCODE DCC organizes metadata related to the experimental process into several major categories that include donors, biosamples, treatments, constructs, libraries, antibodies, replicates and data files (V. S. Malladi, L. D. Rowe, E. L. Hong, et al., in preparation; see https://github.com/ENCODE-DCC/encoded/tree/mas ter/src/encoded/schemas for complete data model).

The second experiment (LIGHT) was conducted using nine microcosms (three replicates assigned to each of three treatments) constructed of transparent polyethylene filled with 7.5 L whole lakewater collected from the center of Emerald Lake at 2 m depth and promptly amended with nutrients as described above.

We used our definition of mental health literacy [ 13, 18] that is composed of 4 constructs addressing three outcomes: mental health knowledge (including knowledge about positive mental health (construct 1) and knowledge about mental illness and treatments (construct 2)), stigma/attitudes towards mental illness, and help-seeking, to define our search scope.

After treatment, constructs were returned to normal culture conditions.

Specific topics addressed include what types of research questions or treatments have been studied using EMA, whether these studies have yielded new knowledge regarding critical treatment constructs or improved treatment outcomes, and what lessons can be drawn from EMA research that can inform future studies.

Students in this treatment constructed a tree of six major groups of chordates using a table of morphological characters (Additional file 1: Supplement 1).

The experiment was repeated with three independent biological replicates each using 4-10 separatransgenicnic hairy roots of each treatment-construct.

Treatments were constructed with 2 levels of forage (65 or 75%) and 2 nitrogen sources.

Heatmaps representing the expression data of 120 families in different tissues at different developmental stages and the responses of 56 families to different stress treatments were constructed using the R package (https://www.r-project.org/) pheatmap.

A coexpression network of 56 grapevine PK families in response to six different treatments was constructed based on Pearson correlation coefficients (PCCs) to better understand the topological relationships between stress-responsive grapevine PK families.

In order to overcome these drawbacks by a simple way, in this paper a thermal LB model and corresponding boundary treatments are constructed based on the total enthalpy.