Sentence examples for threat features from inspiring English sources

The climate threat features very prominently on the home page of the Guardian on Friday even though nothing exceptional happened on this day.

However, as Öhman et al. ([ 5], p. 475) remark, "such elementary threat features still remain to be specified".

However, as Öhman et al. [[ 21], p. 475] admit, "such elementary threat features still remain to be specified".

It has been postulated that specific feature detectors with high sensitivity to elementary threat features exist, "programmed" either genetically or by conditioning (cf. [ 1, 22]).

Öhman [ 20] postulated the existence of specific feature detectors that are preferentially sensitive to elementary threat features which were significant for survival during evolution.

The triple threat features of LRIG1 – ERBB negative regulator, stem cell marker and tumour suppressor – clearly underscore the importance of understanding the function of LRIG1 in health and disease.

As soon as a specific threat feature has been detected, the arousal system is activated still preattentively, and the stimulus is selected for preferential treatment by succeeding stages of stimulus elaboration [ 1].

If such a threat feature is detected, the stimulus automatically and preattentively activates the arousal system and becomes tagged for preferential evaluation by a succeeding significance evaluation system [ 20].

Listen to the podcast Click here (Real player) to listen to this UNICEF Radio podcast discussion on teachers under threat, featuring these guests: Dr. Mario Novelli, lecturer in International Development at the University of Amsterdam; and Sunai Phasuk, Human Rights Watch Asia Division researcher.

Chapter 2, Making Threats, features Hafstein's twisty tale of "El Condor Pasa," while integrating an important critique of how "ICH" policy can so easily be mobilized by state authorities to administer and control the cultural traditions and expressions of local communities.

Unfortunately, this leads to potential threats: features obtain higher probabilities in certain quantization intervals than in others, and thus attackers can easily find the genuine interval by continuously guessing the one with the highest probability.