Monetary incentive moderates the effect of implicit fear on effort-related cardiovascular response.

Integrating the implicit-affect-primes-effort model (Gendolla, 2012, 2015) with the principles of motivational intensity theory (Brehm & Self, 1989) we investigated if the effort mobilization deficit observed in people exposed to fear primes (vs. anger primes) in a difficult short-term memory task could be compensated by high monetary incentive. Effort was operationalized as cardiac response.

Task difficulty moderates implicit fear and anger effects on effort-related cardiac response.

Based on the implicit-affect-primes-effort (IAPE) model (Gendolla, 2012, 2015), the present experiment tested whether objective task difficulty moderates the previously found impact of fear and anger primes on effort-related cardiac response during an arithmetic task. We expected that fear primes would lead to stronger cardiac pre-ejection period (PEP) reactivity than anger primes in an easy task, but that anger primes would lead to a stronger PEP response than fear primes in a difficult task. Results corroborated these predictions.

Implicit fear and effort-related cardiac response.

Based on the Implicit-Affect-Primes-Effort (IAPE) model (Gendolla, 2012, 2015), two experiments tested the impact of fear primes on effort-related cardiac response. The main dependent variable was reactivity of cardiac pre-ejection period (PEP) during the performance of cognitive tasks. The IAPE model predicts that activation of implicit fear and sadness results in stronger PEP responses during task performance than activation of implicit happiness or anger.

Modelling coupled turbulence - dissolved oxygen dynamics near the sediment-water interface under wind waves and sea swell.

A one-dimensional vertical unsteady numerical model for diffusion-consumption of dissolved oxygen (DO) above and below the sediment-water interface was developed to investigate DO profile dynamics under wind waves and sea swell (high-frequency oscillatory flows with periods ranging from 2 to 30s). We tested a new approach to modelling DO profiles that coupled an oscillatory turbulent bottom boundary layer model with a Michaelis-Menten based consumption model. The flow regime controls both the mean value and the fluctuations of the oxygen mass transfer efficiency during a wave cycle, as expressed by the non-dimensional Sherwood number defined with the maximum shear velocity (Sh).