AIMC Topic: Computer Simulation

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Proactivity of fish and leadership of self-propelled robotic fish during interaction.

Bioinspiration & biomimetics
Fish interacting with biomimetic robotic fish is beneficial for animal behavior research, particularly in the study of collective behavior. Compared with passive-dragging robotic fish, self-propelled robotic fish floats in water, and its movement mat...

Data-Driven Elucidation of Flavor Chemistry.

Journal of agricultural and food chemistry
Flavor molecules are commonly used in the food industry to enhance product quality and consumer experiences but are associated with potential human health risks, highlighting the need for safer alternatives. To address these health-associated challen...

A novel performance scoring quantification framework for stress test set-ups.

PloS one
Stress tests, e.g., the cardiac stress test, are standard clinical screening tools aimed to unmask clinical pathology. As such stress tests indirectly measure physiological reserves. The term reserve has been developed to account for the dis-junction...

De novo design of protein interactions with learned surface fingerprints.

Nature
Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. ...

A systematic review of video-based educational interventions in robotic surgical training.

Journal of robotic surgery
As robotic surgical procedures become more prevalent in practice, there is a demand for effective and efficient educational strategies in robotic surgery. Video has been used in open and laparoscopic surgery to instruct trainees in the acquisition of...

Multiobjective intuitionistic fuzzy programming under pessimistic and optimistic applications in multivariate stratified sample allocation problems.

PloS one
This study investigates the compromise allocation of multivariate stratified sampling with complete response and nonresponse. We have formulated a multivariate stratified sampling problem as a mathematical programming problem to estimate p-population...

Bridging the gap between mechanistic biological models and machine learning surrogates.

PLoS computational biology
Mechanistic models have been used for centuries to describe complex interconnected processes, including biological ones. As the scope of these models has widened, so have their computational demands. This complexity can limit their suitability when r...

Dynamic event-triggered controller design for nonlinear systems: Reinforcement learning strategy.

Neural networks : the official journal of the International Neural Network Society
The current investigation aims at the optimal control problem for discrete-time nonstrict-feedback nonlinear systems by invoking the reinforcement learning-based backstepping technique and neural networks. The dynamic-event-triggered control strategy...

Review: The prevailing mathematical modeling classifications and paradigms to support the advancement of sustainable animal production.

Animal : an international journal of animal bioscience
Mathematical modeling is typically framed as the art of reductionism of scientific knowledge into an arithmetical layout. However, most untrained people get the art of modeling wrong and end up neglecting it because modeling is not simply about writi...

Immersive training of clinical decision making with AI driven virtual patients - a new VR platform called medical tr.AI.ning.

GMS journal for medical education
BACKGROUND: Medical students need to be prepared for various situations in clinical decision-making that cannot be systematically trained with real patients without risking their health or integrity. To target system-related limitations of actor-base...