Slope stability monitoring from microseismic field using polarization methodology
Numerical simulation of seismoacoustic emission (SAE) associated with fracturing in zones of shear stress concentration shows that SAE signals are polarized along the stress direction. The proposed polarization methodology for monitoring of slope stability makes use of three-component recording of the microseismic field on a slope in order to pick the signals of slope processes by filtering and polarization analysis. Slope activity is indicated by rather strong roughly horizontal polarization of the respective portion of the field in the direction of slope dip. The methodology was tested in microseismic observations on a landslide slope in the Northern Tien-Shan (Kyrgyzstan).
Microseismic emissions from flowslide-type movements in South Wales
Abstract Many of the unstable hillslopes of South Wales have landslides that turn into flowslides over part of their tract. The valley slopes at Pant-teg and Glynrhigos are unstable, as they possess the optimum requirements for slope failure. They have probably been affected by repeated movements during the last 10 000 years. Significant acoustic emissions (AE) have been recorded from two landslide sites, both subsequent to a major failure (Pant-teg) and during continuous movement (Glynrhigos). Four distinct types of AE have been recognised so far with frequencies in the 1–7 kHz bandwidth with particular peaks at 1.2, 2.0, 4.2, 4.9, 5.5 and 6.5 kHz. The results indicate that there is a potential in developing a warning system for identifying increasing instability.
Nurse responsiveness to cancer patient expressions of emotion.
OBJECTIVE
This theoretically based study examined nurse responses to cancer patient expressions of emotion using a videotaped, simulated cancer patient.


METHODS
This study used an experimental crossover design with a videotaped patient expressing anger, sadness, and neutral emotion to elicit nurse responses. Seventy-four nurses from eight sites participated. Responses were coded using Roter interaction analysis system. Correlations explored relationships between variables that impact communication (age, gender, work experience, trait anxiety, work stress, self-efficacy). Regression models explored the effect of variables on nurse affective responsiveness.


RESULTS
Patient expressions of sadness elicited more affective responses than anger. Expressions of anger or neutral emotion elicited more instrumental behaviors than sadness. Variables such as age, work stress and work experience were significantly correlated. No variables predicted affective responsiveness to patient expressions of anger or sadness.


CONCLUSION
Nurse communication showed significant variation in response to patient emotional expressions. Understanding the relationships between demographic, personality, and work variables, and identification of new variables that influence nurse-patient communication, has implications for interventional studies.


PRACTICE IMPLICATIONS
Over 90% of the participants indicated that the videotape simulation would be a useful method for teaching and practicing communication skills with patients expressing emotions.