Sentence examples for observation of thresholds from inspiring English sources

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Experimental observation of thresholds indicates that ADV does not readily occur until much greater ultrasonic amplitudes are applied.

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RUMM2030 provides two graphical approaches for observation of the thresholds, a threshold map and the category probability curve.

In this paper, we report the observation of a threshold Ni thickness of about 4 nm, when the average CNT growth rate switches from an increasing to a decreasing function of increasing Ni thickness, for a process temperature of 700°C.

First, the existence of dose thresholds cannot be proven or disproven based on experimental observation because measured effects themselves have a limit of detection that will obscure the observation of a threshold, if it exists [ 33].

Second, identifying a threshold in the human population is confounded because not all people are equally sensitive to the effects of a chemical; there would be a graded response to a chemical thereby obscuring the observation of a threshold, if there is one.

This observation of a threshold-like relationship suggests that histone acetylation of TSS may be a necessary condition for gene expression and may serve as a "transcriptional switch" that opens the chromatin structure and allows other transcription factors to regulate gene expression.

Our findings are in line with earlier observations of a threshold effect for a low total fat free mass, 2 further supporting that the apparent threshold effect for the risk related to a low thigh circumference might depend primarily on too little fat free mass in the area rather than on too little fat or a small pelvic size.

Our observation of a potential threshold effect is intriguing and may indicate that those consuming the least red meat are different from other women.

Our observation of a possible threshold effect at high BMI being associated with a proliferative tumor gene expression profile, and development of Basal-like and Luminal B tumors, is consistent with our previous work which identified highly obese (≥40 kg/m) breast cancer patients being at greatest risk for poorer prognosis and survival [ 22, 35].

In this model the mean utility difference between the progression-free state (P0) and post-progression state (P1), at −0.041util, is smaller than that observed between the point estimates at baseline (P0.1) and first post-progression observation (P1.1), but of threshold statistical significance (p = 0.051).

The inverse association between phosphene threshold and NPIhall score and the observation of possible lower phosphene threshold in people who experienced visual hallucination-like phosphenes would support this.

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