Sentence examples for online g from inspiring English sources

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Effect size estimates suggest that psychological and pharmacological interventions were highly effective for improving IA (g = 1.61), time spent online (g = 0.94), depression (g = 0.90) and anxiety (g = 1.25) from pre- to post-treatment in the overall sample.

Similar(59)

(b) is for (001) plane and (d) for (110) plane, where the dotted line (blue online) corresponds to g = 0.4; the dashed line (green online) to g = 0.6; and the solid line (red online) to g = 0.

It is compared with the performance of heuristic fully-online G-IDNC and RLNC.

It is compared with the performance of heuristic fully-online G-IDNC and RLNC Fig. 8 The throughput and decoding delay performance of semi-online transmission scheme when different coding algorithms are applied.

It is compared with the performance of heuristic semi-online G-IDNC and RLNC Fig. 9 The throughput and decoding delay performance of hybrid S-IDNC with different feedback frequencies and under different P e.

Your campus email is hosted on Office 365 (Microsoft Exchange online) or G Suite (formerly Google Apps), as determined by your affiliation with the University.

The watch sells for $180, and is available through select U.S. retailers including Macy's, Bloomingdale's and more, and online at G-Shock's website.

We applied the online tool G-SESAME [ 20] and the python package FastSemSim [ 21] to calculate the functional similarity score between any two GO terms.

Online; GABA: G-aminobutyric acid; EGF: Epidermal growth factor; WBW: WDL (WD-like -BEACH-WD40; GTPase: Guanosinetriphosphatase; NSABP: National Surgical Adjuvant Breast and BoWD-like -BEACH-WD40SouthWD-like -BEACH-WD40; WD-like -BEACH-WD40 for translational research establishedby the Breast International GTPase(BIGuanosinetriphosphatase

When the semantic score between the predicted GO term set and the annotated set of each protein was calculated with the online method G-sesame [ 45], the mean values correspondingly increased to 0.709, 0.678, and 0.638, respectively.

In the fourth set, we evaluate the performance of our hybrid algorithm under different packet erasure probabilities and compare it with fully-online heuristic G-IDNC and RLNC.

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